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18 pages, 13198 KiB  
Article
Microfacies and Evolution of the Carbonate Factory During the Middle Permian in Northwest Sichuan Basin, China
by Siyu Zhou, Dakang Zhong, Haitao Sun, Xiaojie Huang, Chenguang Wang and Xuanwei Liu
Minerals 2024, 14(10), 1037; https://doi.org/10.3390/min14101037 - 17 Oct 2024
Viewed by 268
Abstract
Located in the eastern Paleo-Tethys Ocean and near the equator, carbonate sedimentation widely developed in the Sichuan Basin in the Permian Guadalupian period. Although the growth and decline of carbonate particles are closely related to the surrounding sedimentary environment, the relationships between the [...] Read more.
Located in the eastern Paleo-Tethys Ocean and near the equator, carbonate sedimentation widely developed in the Sichuan Basin in the Permian Guadalupian period. Although the growth and decline of carbonate particles are closely related to the surrounding sedimentary environment, the relationships between the grain composition and distribution of the northwest Sichuan Basin and the sedimentary environment are not clear. This study explored the particle type, particle content, and sedimentary structure of 300 thin sections from 19 wells and seven field profiles of the Guadalupian period in the northwest Sichuan Basin, identified seven microfacies and four microfacies associations, analyzed the sedimentary environment, and established a sedimentary evolution model. The results show that there was a warm-water Dasycladaceae-dominated and foraminifera-dominated open platform developed in the early Roadian era in the research area. As the climate cooled during the late Roadian era, the warm-water carbonate sedimentary environment was replaced by a cold-water bryozoan-dominated and echinoid-dominated marginal sedimentary environment. As the climate continued to cool and the sea level dropped, the platform margin grain beach sediment underwent further development in the early Wordian era. In the late Wordian era stage, the sedimentary environment was influenced by the Dongwu movement, resulting in sea level changes and acidification caused by hydrothermal activities, which reduced the degree of grain beach development. During the Capitanian era, the climate became warmer due to the eruption of the ELIP. The uplift caused by the Dongwu movement resulted in a relative shallowing of the platform margin region, and hence, the grain beach sediment only developed in the southwest, while the northeast was dominated by deepwater basin sediments. The sudden transition from a warm-water, autotroph-dominated carbonate open platform to a cold-water, heterozoan-dominated carbonate platform margin resulted from a combination of tectonic movements, rapid sea level changes, and sedimentary environment changes during the Guadalupian era. Full article
Show Figures

Figure 1

Figure 1
<p>Location and geological background of the Maokou Formation in the northwest Sichuan Basin. (<b>A</b>) Paleogeographic map of the South China block (modified from [<a href="#B36-minerals-14-01037" class="html-bibr">36</a>]),the red box is the location of the study area; (<b>B</b>) schematic diagram of the tectonic framework and tectonic zoning of the Sichuan Basin (modified from [<a href="#B11-minerals-14-01037" class="html-bibr">11</a>]),the red box is the location of the study area; (<b>C</b>) geological structure outline map of the study area (modified from [<a href="#B13-minerals-14-01037" class="html-bibr">13</a>]); (<b>D</b>) comprehensive histogram of the Maokou Formation in the northwest Sichuan Basin.</p>
Full article ">Figure 2
<p>The types of microfacies identified in the Maokou Formation in the study area. All thin sections are under Parallel Nicols. (<b>A</b>) WJG section, MF1 (foraminifera-bearing intraclastic limestone), with crystals of calcite filling between the grains. Casting thin section. (<b>B</b>) ST 9 well, 7440 m, MF1 (foraminifera-bearing intraclastic limestone). Casting thin section. (<b>C</b>) WMT Section, MF1 (foraminifera-bearing intraclastic limestone), with <span class="html-italic">Globivalvulina</span> (red arrow) and crystals of calcite filling between the grains. Casting thin section. (<b>D</b>) S1 well, 5291 m, MF2 (bioclast packstone), with closely packed bioclasts. Some complete bryozoan fossils can be seen. Casting thin section. (<b>E</b>) K1 well, 4213.14 m, MF2 (bioclast packstone), with closely packed bioclasts. Casting thin section. (<b>F</b>) GDB section. MF2 (bioclast packstone), with closely packed bioclasts. Casting thin section.</p>
Full article ">Figure 3
<p>The types of microfacies identified in the Maokou Formation in the study area, under Parallel Nicols. (<b>A</b>) ST3 well, 7114 m, MF3 (Dasycladaceae–foraminifera packstone), showing transverse and longitudinal sections of Dasycladaceae. Casting thin section. (<b>B</b>) H12 well, 3524 m, MF3 (Dasycladaceae–foraminifera packstone), with filling cracks. Casting thin section. (<b>C</b>) XBX section, MF3 (Dasycladaceae–foraminifera packstone) with <span class="html-italic">Pachyphloia</span> (red arrow). Casting thin section. (<b>D</b>) YQ section l, MF3 (Dasycladaceae–foraminifera packstone) with <span class="html-italic">Sumatrina</span> (red arrow). Casting thin section. (<b>E</b>) TK section, MF3 (Dasycladaceae–foraminifera packstone) with <span class="html-italic">Pachyphloia</span> (red arrow)and <span class="html-italic">Globivalvulina</span> (red arrow). Casting thin section. (<b>F</b>) METsection, MF4 (wackestone with brachiopod bioclast), of which the fossils are complete and floating in the matrix. Some of the matrix has undergone recrystallization. Casting thin section.</p>
Full article ">Figure 4
<p>The types of microfacies identified in the Maokou Formation in the study area, under Parallel Nicols. (<b>A</b>) JZC Section, MF5 (fine-grained bioclast wackestone), with bioclasts whose morphology cannot be accurately identified, floating in the matrix. Casting thin section; (<b>B</b>) XBX Section, MF5 (wackestone with fine-grained bioclast), with a small quantity of bioclasts floating in the matrix. Casting thin section. (<b>C</b>) XBX Section, MF5 (fine-grained bioclast wackestone), with bioclasts whose morphology cannot be accurately identified, floating in the matrix. Casting thin section. (<b>D</b>) WJP section, MF6 (spiculate wackestone); most of the skeletal types are unidirectional. Casting thin section. (<b>E</b>) MET Section, MF7 (limy mudstone), see <span class="html-italic">Globivalvulina</span> and <span class="html-italic">Nodosaria</span>. Casting thin section; (<b>F</b>) K2 Well, 2228 m, MF7 (limy mudstone), basically no detrital particles. Casting thin section.</p>
Full article ">Figure 5
<p>Different types of sedimentary microfacies associations: (<b>A</b>) platform-margin shoals; (<b>B</b>) platform-interior grain shoals; (<b>C</b>) platform-interior inter-shoal; (<b>D</b>) Slope and Toe-of-Slope.</p>
Full article ">Figure 6
<p>Well correlation profile of the Maokou Formation facies in the northwestern Sichuan Basin.</p>
Full article ">Figure 7
<p>Sedimentary patterns and control factors of carbonate platform deposits in the Guadalupian era of the northwest Sichuan Basin. Key geochemical indicators include Chemical Index of Alteration (CIA), land surface temperature (LST), 87Sr/86Sr ratio and δ13Ccarb values [<a href="#B40-minerals-14-01037" class="html-bibr">40</a>], atmospheric CO<sub>2</sub> concentrations [<a href="#B41-minerals-14-01037" class="html-bibr">41</a>], 18Oapatite values [<a href="#B42-minerals-14-01037" class="html-bibr">42</a>,<a href="#B43-minerals-14-01037" class="html-bibr">43</a>], glacial events [<a href="#B46-minerals-14-01037" class="html-bibr">46</a>], and volcanic events [<a href="#B47-minerals-14-01037" class="html-bibr">47</a>,<a href="#B48-minerals-14-01037" class="html-bibr">48</a>,<a href="#B49-minerals-14-01037" class="html-bibr">49</a>,<a href="#B50-minerals-14-01037" class="html-bibr">50</a>]. (<b>A</b>) Sedimentary patterns in the early Roadian era. (<b>B</b>) Sedimentary patterns in the late Roadian era. (<b>C</b>) Sedimentary patterns in the early Wordian era. (<b>D</b>) Sedimentary patterns in the middle Wordian era. (<b>E</b>) Sedimentary patterns in the late Wordian era. (<b>F</b>) Sedimentary patterns in the Capitanian era.</p>
Full article ">
14 pages, 652 KiB  
Article
Performance of a Radio-Frequency Two-Photon Atomic Magnetometer in Different Magnetic Induction Measurement Geometries
by Lucas Martin Rushton, Laura Mae Ellis, Jake David Zipfel, Patrick Bevington and Witold Chalupczak
Sensors 2024, 24(20), 6657; https://doi.org/10.3390/s24206657 - 16 Oct 2024
Viewed by 231
Abstract
Measurements monitoring the inductive coupling between oscillating radio-frequency magnetic fields and objects of interest create versatile platforms for non-destructive testing. The benefits of ultra-low-frequency measurements, i.e., below 3 kHz, are sometimes outweighed by the fundamental and technical difficulties related to operating pick-up coils [...] Read more.
Measurements monitoring the inductive coupling between oscillating radio-frequency magnetic fields and objects of interest create versatile platforms for non-destructive testing. The benefits of ultra-low-frequency measurements, i.e., below 3 kHz, are sometimes outweighed by the fundamental and technical difficulties related to operating pick-up coils or other field sensors in this frequency range. Inductive measurements with the detection based on a two-photon interaction in rf atomic magnetometers address some of these issues as the sensor gains an uplift in its operational frequency. The developments reported here integrate the fundamental and applied aspects of the two-photon process in magnetic induction measurements. In this paper, all the spectral components of the two-photon process are identified, which result from the non-linear interactions between the rf fields and atoms. For the first time, a method for the retrieval of the two-photon phase information, which is critical for inductive measurements, is also demonstrated. Furthermore, a self-compensation configuration is introduced, whereby high-contrast measurements of defects can be obtained due to its insensitivity to the primary field, including using simplified instrumentation for this configuration by producing two rf fields with a single rf coil. Full article
(This article belongs to the Section Physical Sensors)
Show Figures

Figure 1

Figure 1
<p>Model of the generic configuration of an inductive measurement. An excitation field (1), the so-called primary rf field and represented by the green arrow, drives the object response (2), which in this case is the generation of eddy currents denoted by the blue circles. These produce a secondary rf field, represented by a blue arrow. The resultant field is detected by a sensor (3), depicted by the white box.</p>
Full article ">Figure 2
<p>(<b>a</b>) Detection of the rf field with an atomic magnetometer is performed by monitoring the amplitude and phase of the atomic coherence driven by the rf field between Zeeman sublevels of the <math display="inline"><semantics> <mrow> <mi>F</mi> <mo>=</mo> <mn>4</mn> </mrow> </semantics></math> caesium ground state. For simplicity, only two sublevels are shown. In the single-photon case in [a(i)], the transition frequency <math display="inline"><semantics> <msub> <mi>ω</mi> <mn>0</mn> </msub> </semantics></math> is tuned into resonance with the detected rf field frequency <math display="inline"><semantics> <msub> <mi>ω</mi> <mi>sp</mi> </msub> </semantics></math> by adjusting the bias magnetic field <math display="inline"><semantics> <msub> <mi mathvariant="bold">B</mi> <mn>0</mn> </msub> </semantics></math>. The sensor detects only the circularly polarised component (<math display="inline"><semantics> <msup> <mi>σ</mi> <mo>+</mo> </msup> </semantics></math>) of the rf field. In the two-photon case, the atomic coherence is driven by two rf fields. The resonance condition is met by the [a(ii)] sum or [a(iii)] difference in the field frequencies. Selection rules set the conditions for the polarisations of the fields. The gold coloured arrows represent the field that drives the response of interest (low frequency) from the object relevant to the inductive measurements. The choice of frequency and field polarisation used is described in <a href="#sec3dot4-sensors-24-06657" class="html-sec">Section 3.4</a>. (<b>b</b>) The single-photon resonance condition can be satisfied when an rf field <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="bold">B</mi> <mn>1</mn> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </semantics></math> is applied perpendicularly to <math display="inline"><semantics> <msub> <mi mathvariant="bold">B</mi> <mn>0</mn> </msub> </semantics></math> with <math display="inline"><semantics> <mrow> <msub> <mi>ω</mi> <mi>sp</mi> </msub> <mo>=</mo> <msub> <mi>ω</mi> <mn>0</mn> </msub> </mrow> </semantics></math>. (<b>c</b>) In the two-photon configuration, an extra rf field <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="bold">B</mi> <mn>2</mn> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </semantics></math> is required along the bias field axis such that a two-photon transition can be achieved.</p>
Full article ">Figure 3
<p>MIT experimental setups for the (<b>a</b>) single-photon, (<b>b</b>) two-photon two-coil, and (<b>c</b>) two-photon single-coil configurations. The gold coloured arrows represent the field that drives the response of interest (low frequency) from the object relevant to the inductive measurements. (<b>a</b>) In the single-photon self-compensation case, the bias field is directed along the primary field <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="bold">B</mi> <mi>sp</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </semantics></math> (double-ended gold arrow), and the magnetometer is sensitive to secondary fields <math display="inline"><semantics> <mrow> <msubsup> <mi mathvariant="bold">B</mi> <mrow> <mi>sp</mi> </mrow> <mo>′</mo> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </semantics></math> in the 2D plane perpendicular to <math display="inline"><semantics> <msub> <mi mathvariant="bold">B</mi> <mn>0</mn> </msub> </semantics></math>. (<b>b</b>) In the two-photon two-coil configuration, the high-frequency auxiliary coil producing <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="bold">B</mi> <mn>1</mn> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </semantics></math> is far from the plate. The low-frequency rf field <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="bold">B</mi> <mn>2</mn> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </semantics></math> can penetrate through the material due to its large skin depth, and the secondary field <math display="inline"><semantics> <mrow> <msubsup> <mi mathvariant="bold">B</mi> <mrow> <mn>2</mn> </mrow> <mo>′</mo> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </semantics></math> induced parallel to the surface of the plate is measured by the sensor. The optimal geometric configuration is chosen due to the <math display="inline"><semantics> <mrow> <mn>1</mn> <mo>/</mo> <msub> <mi>ω</mi> <mn>2</mn> </msub> </mrow> </semantics></math> amplitude dependence of the two-photon coherence, described in <a href="#sec3dot3-sensors-24-06657" class="html-sec">Section 3.3</a>. (<b>c</b>) In the two-photon single-coil case, both frequency components come from the same coil. Only the low-frequency component will produce a secondary field <math display="inline"><semantics> <mrow> <msubsup> <mi mathvariant="bold">B</mi> <mrow> <mn>2</mn> </mrow> <mo>′</mo> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </semantics></math> along the bias field due to the attenuation of the high-frequency rf field at the object’s surface.</p>
Full article ">Figure 4
<p>FFTs of the polarisation rotation signal recorded as <math display="inline"><semantics> <msub> <mi>f</mi> <mn>2</mn> </msub> </semantics></math> are scanned over the 0–1 kHz frequency range, whilst <math display="inline"><semantics> <msub> <mi>f</mi> <mn>1</mn> </msub> </semantics></math> remains fixed at 2 kHz in shielded conditions. The two-photon profiles are represented by the diagonal lines, <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>1</mn> </msub> <mo>±</mo> <msub> <mi>f</mi> <mn>2</mn> </msub> </mrow> </semantics></math>. Atomic shot noise produces a weak signal at the resonant frequency <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>2.48</mn> </mrow> </semantics></math> kHz. The two-photon resonance can be observed when <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>0</mn> </msub> <mo>=</mo> <msub> <mi>f</mi> <mn>1</mn> </msub> <mo>+</mo> <msub> <mi>f</mi> <mn>2</mn> </msub> </mrow> </semantics></math>.</p>
Full article ">Figure 5
<p>The in-phase (<span class="html-italic">X</span>), quadrature (<span class="html-italic">Y</span>), and magnitude (<span class="html-italic">R</span>) components of the lock-in are monitored during the two-photon resonance signal, demonstrating that phase information <math display="inline"><semantics> <mrow> <mi>ϕ</mi> <mo>=</mo> <mo form="prefix">arctan</mo> <mrow> <mo>(</mo> <mi>Y</mi> <mo>/</mo> <mi>X</mi> <mo>)</mo> </mrow> </mrow> </semantics></math> can be obtained in a two-photon measurement. The two-photon transition can be observed at <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mi>ref</mi> </msub> <mo>=</mo> <msub> <mi>f</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>49.9</mn> </mrow> </semantics></math> kHz (<math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>2</mn> </msub> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math> kHz and <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>49.4</mn> </mrow> </semantics></math> kHz). At <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mi>ref</mi> </msub> <mo>=</mo> <mn>50.4</mn> </mrow> </semantics></math> kHz (<math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>2</mn> </msub> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math> kHz and <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>49.9</mn> </mrow> </semantics></math> kHz), the single-photon transition is driven by <math display="inline"><semantics> <msub> <mi>f</mi> <mn>1</mn> </msub> </semantics></math>, which is then contained within the two-photon signal at 50.4 kHz. The “double peaks” in the 50.4 kHz data are due to the high rf broadening, which occurs when <math display="inline"><semantics> <msub> <mi>B</mi> <mn>1</mn> </msub> </semantics></math> is large.</p>
Full article ">Figure 6
<p>Determining the efficiency of the two-photon transition versus the single-photon transition. The single-photon measurement as in <a href="#sensors-24-06657-f002" class="html-fig">Figure 2</a>b used the settings <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>2</mn> </msub> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> kHz, <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mi>ref</mi> </msub> <mo>=</mo> <msub> <mi>f</mi> <mi>sp</mi> </msub> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <msub> <mi>B</mi> <mi>sp</mi> </msub> <mo>=</mo> <mn>2.37</mn> </mrow> </semantics></math> nT, and the two-photon measurement as in <a href="#sensors-24-06657-f002" class="html-fig">Figure 2</a>c used <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>2</mn> </msub> <mo>=</mo> </mrow> </semantics></math> 0.5 kHz, <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mi>ref</mi> </msub> <mo>=</mo> <msub> <mi>f</mi> <mn>1</mn> </msub> <mo>+</mo> <msub> <mi>f</mi> <mn>2</mn> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>B</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>23.7</mn> </mrow> </semantics></math> nT, and <math display="inline"><semantics> <mrow> <msub> <mi>B</mi> <mn>2</mn> </msub> <mo>=</mo> <mn>21.9</mn> </mrow> </semantics></math> nT. This enables a comparison of the single-photon and two-photon efficiencies to be undertaken.</p>
Full article ">Figure 7
<p>Two-photon (<math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>2</mn> </msub> <mo>=</mo> <mn>1.5</mn> </mrow> </semantics></math> kHz, <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>48.5</mn> </mrow> </semantics></math> kHz, and <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>50</mn> </mrow> </semantics></math> kHz) single-coil linescan data over the 0.5 mm and 1 mm cavities in the Al pilot hole plate. The amplitude and phase are plotted as the plate is moved under the excitation coil. This demonstrates the capability of obtaining phase information from a two-photon measurement during MIT measurements.</p>
Full article ">Figure 8
<p>The experimentally obtained amplitudes (blue dots) were obtained for four different cavity depths (0.5 mm, 1 mm, 2 mm, and 3 mm) in the two-photon single-coil configuration with <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>2</mn> </msub> <mo>=</mo> <mn>500</mn> </mrow> </semantics></math> Hz and <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>50</mn> </mrow> </semantics></math> kHz. The COMSOL data (orange crosses, <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>2</mn> </msub> <mo>=</mo> <mn>500</mn> </mrow> </semantics></math> Hz) were performed using the same setup as in Ref. [<a href="#B26-sensors-24-06657" class="html-bibr">26</a>] but for the sub-surface cavities described in this paper instead of the open recess used in Ref. [<a href="#B26-sensors-24-06657" class="html-bibr">26</a>]. The contrast was normalised by the signal from the shallowest cavity for both the experimental and modelled datasets. Each contrast data point was calculated as the difference between the maximum and minimum amplitudes in a linescan, repeated to determine means and standard deviations. Each error bar is the propagation of the standard error of the mean (SEM) through the contrast and normalisation calculations.</p>
Full article ">Figure 9
<p>Comparison of MIT measurements over 0.5 mm and 1 mm deep cavities for the single-photon (<math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>2</mn> </mrow> </semantics></math> kHz and <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mi>sp</mi> </msub> <mo>=</mo> <mn>2</mn> </mrow> </semantics></math> kHz in <a href="#sensors-24-06657-f003" class="html-fig">Figure 3</a>a), the two-photon single-coil (<math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>50</mn> </mrow> </semantics></math> kHz, <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>2</mn> </msub> <mo>=</mo> <mn>2</mn> </mrow> </semantics></math> kHz, and <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>48</mn> </mrow> </semantics></math> kHz in <a href="#sensors-24-06657-f003" class="html-fig">Figure 3</a>b), and the two-photon two-coil (<math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>50</mn> </mrow> </semantics></math> kHz, <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>2</mn> </msub> <mo>=</mo> <mn>2</mn> </mrow> </semantics></math> kHz, and <math display="inline"><semantics> <mrow> <msub> <mi>f</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>48</mn> </mrow> </semantics></math> kHz in <a href="#sensors-24-06657-f003" class="html-fig">Figure 3</a>c) configurations.</p>
Full article ">
24 pages, 2883 KiB  
Article
Travelers’ Propensity to Use Intercity Railway Services in Emerging Economies: Significance of Passengers’ Satisfaction and Communication Technologies
by Izza Anwer, Muhammad Ashraf Javid, Muhammad Irfan Yousuf, Muhammad Farooq, Nazam Ali, Suniti Suparp and Qudeer Hussain
Sustainability 2024, 16(20), 8921; https://doi.org/10.3390/su16208921 - 15 Oct 2024
Viewed by 388
Abstract
This paper focuses on the perspectives of passengers who were railway users and how railways as a service can be uplifted with technological advancements through the introduction of information and communication technologies (ICTs). For this purpose, a questionnaire was designed comprised of six [...] Read more.
This paper focuses on the perspectives of passengers who were railway users and how railways as a service can be uplifted with technological advancements through the introduction of information and communication technologies (ICTs). For this purpose, a questionnaire was designed comprised of six sections related to information on socio-economic-demographics, travel, station facilities, train facilities, customer care, and familiarity with and benefits of ICTs. A total of 800 respondents were recruited on trains and in railway stations to collect data through a random sampling technique. Data were analyzed through descriptive statistics, factor analysis, bivariate correlation analysis, and ordered logistic regression analysis. The three hypotheses tested showed that (i) there is a correlation between socio-demographic factors, train frequency, and satisfaction levels, (ii) satisfaction with station and train facilities and customer care impacts users’ travel likelihood with the train service, and (iii) users’ familiarity with perceived benefits of ICTs influences passengers’ travel likelihood with the train service. The results indicate that the users’ satisfaction with attributes of station facilities, train facilities, and customer care and perceptions about ICTs significantly influences their travel frequency with the train service. This study is useful for multiple stakeholders, especially for railway management authorities, to provide inclusive services to passengers and to plan for future transportation, which should be well-equipped with ICTs, well-integrated with other transport modes, and well-connected with optimum stops. Full article
(This article belongs to the Section Sustainable Transportation)
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<p>Travel frequency (<b>a</b>), trip purpose (<b>b</b>), and traveling class (<b>c</b>) distribution of railway system users.</p>
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<p>Travel frequency (<b>a</b>), trip purpose (<b>b</b>), and traveling class (<b>c</b>) distribution of railway system users.</p>
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<p>Motives to preferring railway/train over other transport modes.</p>
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<p>Barriers to preferring railway/train over other transport modes.</p>
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<p>Passengers’ satisfaction with the railway station facilities.</p>
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<p>Passengers’ satisfaction with the available facilities within the train.</p>
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<p>Customer satisfaction related to customer services.</p>
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<p>Comparative distribution of different ICTs regarding familiarity and installations.</p>
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22 pages, 64724 KiB  
Article
Characteristics and Tectonic Implications of the Geomorphic Indices of the Watersheds Around the Lijiang–Jinpingshan Fault
by Yongqi Chen, Rui Ding, Shimin Zhang, Dawei Jiang, Luyao Li and Diwei Hua
Remote Sens. 2024, 16(20), 3826; https://doi.org/10.3390/rs16203826 - 14 Oct 2024
Viewed by 319
Abstract
The Lijiang–Jinpingshan fault (LJF) is an important secondary boundary fault that obliquely cuts the Sichuan–Yunnan rhombic block. It is of great significance for understanding the tectonic evolution of the Sichuan–Yunnan rhombic block and even the southeastern margin of the Tibet Plateau. Based on [...] Read more.
The Lijiang–Jinpingshan fault (LJF) is an important secondary boundary fault that obliquely cuts the Sichuan–Yunnan rhombic block. It is of great significance for understanding the tectonic evolution of the Sichuan–Yunnan rhombic block and even the southeastern margin of the Tibet Plateau. Based on a digital elevation model (DEM), this work combines ArcGIS with MATLAB script programs to extract geomorphic indices including slope, the relief degree of the land surface (RDLS), hypsometric integral (HI), and channel steepness index (ksn) of 593 sub–watersheds and strip terrain profiles around the LJF. By analyzing the spatial distribution characteristics of the geomorphic indices and combining the regional lithology and precipitation conditions, the spatial distribution of the geomorphic indices around the study area was analyzed to reveal the implications of the LJF’s activity. The results of this work indicate that (1) the distribution of geomorphic indices around the LJF may not be controlled by climate and lithological conditions, and the LJF is the dominant factor controlling the geomorphic evolution of the region. (2) The spatial distribution patterns of geomorphic indices and strip terrain profiles reveal that the vertical movement of the LJF resulted in a pronounced uplift on its northwest side, with tectonic activity gradually diminishing from northeast to southwest. Furthermore, based on the spatial distribution characteristics of these geomorphic indices, the activity intensity of the LJF can be categorized into four distinct segments: Jianchuan–Lijiang, Lijiang–Ninglang, Ninglang–Muli, and Muli–Shimian. (3) The activity of the LJF obtained from tectonic geomorphology is consistent with the conclusions obtained in previous geological and geodesic studies. This work provides evidence of the activity and segmentation of the LJF in tectonic geomorphology. The results provide insight for the discussion of tectonic deformation and earthquake disaster mechanisms in the southeastern margin of the Tibet Plateau. Full article
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<p>The geological map of the study area. (<b>b</b>) is the red frame range in (<b>a</b>). (<b>a</b>) The main active faults in the southeastern margin of the Tibetan plateau. (<b>b</b>) The geometric distribution of the LJF and introduction of the study area. A–A’ to F–F’ are strip terrain profiles. (1): Qiangtang block, (2)–1: Aba sub–block, (2)–2: Longmenshan sub–block, (3): Chaidamu block, (4): South China block, (5)–1: Northwestern Sichuan sub–block, (5)–2: Central Yunnan sub–block, (6): Jinggu–Ximeng block, (7): Baoshan sub–block, EKL–F: East Kunlun fault, NMWQM–F: North margin of the West Qinling Mountains fault, LRB–F: Longriba fault, MJ–F: Minjiang fault, LMS–F: Longmenshan fault, QC–F: Qingchuan fault, YG–F: Yushu Ganzi fault, XSH–F: Xianshuihe fault, ANH–F: Anninghe fault, ZMH–F: Zemuhe fault, DLS–F: Daliangshan fault, XJ–F: Xiaojiang fault, LT–F: Litang fault, JSJ–F: Jinshajiang fault, DZD–F: Deqin Zhongdian Daju fault, RR–F: Red River fault, NJ–F: Nujiang fault, DL–F: Daluo fault, NTH–F: Nantinghe fault, LR–F: Longling Ruili fault, H E–F: Heqing Eryuan fault, E Y–F: Eastern Piedmont fault of the Yulong Mountains.</p>
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<p>The results of watershed extraction in the study.</p>
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<p>The calculation principle of the analysis window (taking a 3 × 3 size as an example).</p>
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<p>The slope (<b>a</b>) and RDLS (<b>b</b>) distribution around the LJF.</p>
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<p>The spatial distribution of the average slope (<b>a</b>) and RDLS (<b>b</b>) in the sub–watersheds around the LJF.</p>
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<p>The spatial distribution of HI in the sub–watersheds around the LJF.</p>
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<p>The spatial distribution of the average <span class="html-italic">k<sub>sn</sub></span> in the sub–watersheds around the LJF. (<b>b</b>,<b>c</b>) are the purple frame areas in (<b>a</b>). (<b>b</b>) is a display of <span class="html-italic">k<sub>sn</sub></span> in the Lancang River Basin. (<b>c</b>) is a display of <span class="html-italic">k<sub>sn</sub></span> in the Yangtze River Basin.</p>
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<p>The strip terrain profiles across the LJF. The location of (<b>A</b>,<b>A′</b>) to (<b>F</b>,<b>F′</b>) are shown in <a href="#remotesensing-16-03826-f001" class="html-fig">Figure 1</a>. The thick red line accompanied by an upward arrow signifies a reverse fault, whereas the thick grey line with a downward arrow denotes a normal fault. The circles containing a dot on the left side and a cross on the right side indicate that the fault is a left-lateral strike–slip fault.</p>
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<p>The spatial distribution of AAP in the sub–watersheds around the LJF from 2000 to 2022.</p>
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<p>The Spearman correlation between geomorphic indices (slope, RDLS, HI, <span class="html-italic">k<sub>sn</sub></span>), AAP, and RH in the sub–watersheds of the LJF. Note: ** and * denote significance at the 0.01 and 0.05 probability levels, respectively.</p>
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<p>The spatial distribution of strata around the LJF.</p>
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<p>The spatial distribution of the average RH in the sub–watersheds around the LJF.</p>
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<p>The geomorphic indices (slope (<b>a</b>), RDLS (<b>b</b>), HI (<b>c</b>), <span class="html-italic">k<sub>sn</sub></span> (<b>d</b>)) from southwest to northeast in the sub–watersheds on both sides of the LJF.</p>
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<p>A comparison of geomorphic indices on both sides of the LJF.</p>
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21 pages, 15711 KiB  
Article
Temporal Variability of Hydroclimatic Extremes: A Case Study of Vhembe, uMgungundlovu, and Lejweleputswa District Municipalities in South Africa
by Christina M. Botai, Jaco P. de Wit and Joel O. Botai
Water 2024, 16(20), 2924; https://doi.org/10.3390/w16202924 - 14 Oct 2024
Viewed by 320
Abstract
The current study investigated hydroclimatic extremes in Vhembe, Lejweleputswa, and uMgungundlovu District Municipalities based on streamflow data from 21 river gauge stations distributed across the study site for the period spanning 1985–2023. Statistical metrics such as the annual mean and maximum streamflow, as [...] Read more.
The current study investigated hydroclimatic extremes in Vhembe, Lejweleputswa, and uMgungundlovu District Municipalities based on streamflow data from 21 river gauge stations distributed across the study site for the period spanning 1985–2023. Statistical metrics such as the annual mean and maximum streamflow, as well as trends in annual, maximum, seasonal, and high/low flow, were used to evaluate the historical features of streamflow in each of the three district municipalities. Moreover, the Standardized Streamflow Index (SSI) time series computed from streamflow observations at 3- and 6-month accumulation periods were used to assess hydroclimatic extremes, including drought episodes, proportion of wet/dry years and trends in SSI, drought duration (DD), and drought severity (DS). The results indicate that the three district municipalities have experienced localized and varying degrees of streamflow levels and drought conditions. The uMgungundlovu District Municipality in particular has experienced a significant decline in annual and seasonal streamflow as well as an increase in drought conditions during the 38-year period of analysis. This is supported by the negative trends observed in most of the assessed metrics (e.g., annual, maximum, seasonal, low/high flow, and SSI), whereas DD and DS showed positive trends in all the stations, suggesting an increase in prolonged duration and severity of drought. The Lejweleputswa District Municipality depicted positive trends in most of the assessed metrics, suggesting that streamflow increased, whereas drought decreased in the region over the 38-year period of study. Moreover, the Vhembe District Municipality experienced both negative and positive trends, suggesting localized variations in dry and wet conditions. The results presented in this study contribute towards drought monitoring and management efforts in support of policy- and decision-making that aim to uplift water resources management and planning at local and district municipality levels. Full article
(This article belongs to the Section Water and Climate Change)
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<p>Study area map of the three district municipalities with the spatial distribution of streamflow stations.</p>
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<p>Trends in annual mean (<b>top panel</b>) and maximum (<b>bottom panel</b>) streamflow (m<sup>3</sup>/s) for each of the three district municipalities for the period spanning 1985–2023. Up- and down-pointing triangles correspond to positive and negative trends, with blue and brown symbols corresponding to statistically significant and non-significant trends, respectively.</p>
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<p>Trends in streamflow quantiles (low = Q<sub>0.1</sub> and high = Q<sub>0.9</sub>) for each district municipality during the 1985–2023 investigated period. Up- and down-pointing triangles correspond to positive and negative trends, with blue and brown symbols corresponding to statistically significant and non-significant trends, respectively.</p>
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<p>Trends in Standardized Streamflow Index (SSI-3 and SSI-6) across the district municipalities during the 1985–2023 assessed period. Up- and down-pointing triangles correspond to positive and negative trends, with blue and brown symbols corresponding to statistically significant and non-significant trends, respectively.</p>
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<p>The proportion (%) of dry and wet years in (<b>top</b>): uMgungundlovu, (<b>middle</b>): Vhembe, and (<b>bottom</b>): Lejweleputswa District Municipalities based on the SSI-3 time series.</p>
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<p>Trends in drought duration based on the analysis of the SSI-3 and SSI-6 time series across the district municipalities during the 1985–2023 investigated period. Up- and down-pointing triangles correspond to positive and negative trends, with blue and brown symbols corresponding to statistically significant and non-significant trends, respectively.</p>
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<p>Trends in drought severity based on the analysis of the SSI-3 and SSI-6 time series for each of the study sites during the 1985–2023 investigated period. Up- and down-pointing triangles correspond to positive and negative trends, with blue and brown symbols corresponding to statistically significant and non-significant trends, respectively.</p>
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<p>Drought duration annual mean based on the SSI-3 and SSI-6 time series analysis for each of the study site during 38-year study period (1985–2023).</p>
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<p>Drought severity annual mean based on the SSI-3 and -6 analysis across the study sites during the 1985–2023 period of analysis.</p>
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21 pages, 16783 KiB  
Article
Research on Lithofacies Paleogeography and Caprock Evaluation of the Middle Cambrian in the Tarim Basin, NW China
by Xueqiong Wu, Wei Yang, Dongmei Bo, Tianyu Ji, Caiyuan Dong, Tiansi Luan and Junya Qu
Appl. Sci. 2024, 14(20), 9372; https://doi.org/10.3390/app14209372 - 14 Oct 2024
Viewed by 345
Abstract
Cambrian subsalt dolomite is an important strategic area for natural gas exploration in the Tarim Basin. The gypsum-salt rocks, argillaceous mudstone and argillaceous dolomite strata developed in large areas of the Middle Cambrian can be used as good caprocks. The sealing ability and [...] Read more.
Cambrian subsalt dolomite is an important strategic area for natural gas exploration in the Tarim Basin. The gypsum-salt rocks, argillaceous mudstone and argillaceous dolomite strata developed in large areas of the Middle Cambrian can be used as good caprocks. The sealing ability and favorable area distribution of the Middle Cambrian caprock in the Tarim Basin are studied through the lithofacies paleogeography and microscopic evaluation of the Middle Cambrian strata in this paper. Based on the 2D seismic interpretation covering the entire basin, combined with data from drilling, outcrops, well logging, core samples and thin sections, the sedimentary characteristics and lithofacies paleogeography of the Middle Cambrian were studied and then the thickness of the Middle Cambrian gypsum-salt rocks, gypsiferous mudstone and gypsiferous dolomite was analyzed in the Tarim Basin. Studies suggest that the Middle Cambrian is primarily characterized by the development of restricted-platform facies. In the Awati Depression, the northern part of the Tazhong Uplift, the southern part of the Manxi Low Uplift, and the central and northern parts of the Bachu Uplift, the thickness of the gypsum-salt rock strata is relatively large. Moreover, centered on the northern part of the Bachu Uplift, the thickness of the gypsum-salt rocks decreases irregularly towards the periphery, forming a circumferential distribution. To investigate the sealing ability of caprocks, 64 core samples from four wells were examined under a microscope, and physical parameters as well as breakthrough-pressure tests were conducted. By establishing correlations between various parameters, the sealing ability of different rock types in the Cambrian formation within the study area was quantitatively assessed. The research suggests that gypsum-salt rocks exhibit superior sealing ability compared to gypsiferous mudstone and gypsiferous dolomite, but factors such as faults and geological conditions of gypsum can influence the sealing performance of caprocks. According to both micro- and macro-scale evaluations of the Cambrian strata in the study area, along with constraints imposed by actual drilling exploration results, a comprehensive evaluation method for assessing caprock sealing ability has been established. The results suggest that the Awat Depression, the western and southern parts of the Manxi Low Uplift, the northern and western parts of the Tazhong Uplift, and the central part of the Tabei Uplift are favorable areas for the development of caprocks. Full article
(This article belongs to the Section Earth Sciences)
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<p>Location of study area and structural unit map of Tarim Basin.</p>
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<p>Stratigraphic division and correlation of the Cambrian in the Tarim Basin and the column diagram of the Cambrian strata in the Xiaoerbulake outcrop area.</p>
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<p>(<b>a</b>) Well ST 1, 1674.9 m, Xiaoerbulake Formation, gypsiferous micritic dolomite, cross-polarized light; (<b>b</b>) Well ST 1, 1673.1 m, Xiaoerbulake Formation, gypsiferous dolomite, cross-polarized light; (<b>c</b>) Well ZS 5, 6191.95 m, Awatage Formation, gypsiferous dolomite, cross-polarized light; (<b>d</b>) Well ZS 5, 6546.0 m, Shayilike Formation, gypsiferous micritic dolomite, cross-polarized light.</p>
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<p>(<b>a</b>) Well ST 1, 1674.3 m, Xiaoerbulake Formation, dolomitic gypsum-salt rock, hand specimen; (<b>b</b>) Well ST 1, 1674.3 m, Xiaoerbulake Formation, dolomitic gypsum-salt rock, cross-polarized light; (<b>c</b>) Well ZS 5, 6193.95 m, Awatage Formation, dolomitic gypsum-salt rock, hand specimen; (<b>d</b>) Well ZS 5, 6193.95 m, Awatage Formation, dolomitic gypsum-salt rock, cross-polarized light.</p>
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<p>Characteristics of logging curves for different sedimentary microfacies of the Middle Cambrian in the study area.</p>
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<p>Sedimentary interpretation diagram of Lower-Middle Cambrian in well ZS 5 (See <a href="#applsci-14-09372-f001" class="html-fig">Figure 1</a> for the location).</p>
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<p>The Middle Cambrian section of connected wells in the Tarim Basin (See <a href="#applsci-14-09372-f001" class="html-fig">Figure 1</a> for the location).</p>
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<p>Seismic section along (<b>a</b>) YL_NS08, (<b>b</b>) YL_NS10, (<b>c</b>) TLM_Z30, (<b>d</b>) TLM_L300AV, (<b>e</b>) OGSL_14_500, (<b>f</b>) YL_EW07, (<b>g</b>) YL_EW05 and (<b>h</b>) YL_EW06 for seismic facies interpretation (see <a href="#applsci-14-09372-f001" class="html-fig">Figure 1</a> for the location).</p>
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<p>Lithofacies paleogeography map of the Middle Cambrian series in Tarim Basin (modified after Ji et al., 2024 [<a href="#B46-applsci-14-09372" class="html-bibr">46</a>]).</p>
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<p>Isopach map of Cambrian gypsum-salt rocks and basin tectonic units in the Tarim Basin.</p>
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<p>Typical microscopic characteristics of the Middle Cambrian (Shayilike Formation and Awatage Formation) samples in the Tarim Basin (monopolar light). (<b>a</b>)—Well ZS 5, Shayilike Formation, gypsiferous dolomite; (<b>b</b>)—Well ZS 5, Shayilike Formation, gypsiferous dolomite; (<b>c</b>)—Well ZS 5, Awatage Formation, anhydrite dolomite; (<b>d</b>)—Well Y 10, Awatage Formation, argillaceous dolomite; (<b>e</b>)—Well Y 10, Awatage Formation, argillaceous dolomite; (<b>f</b>)—Well Y 10, Awatage Formation, argillaceous dolomite.</p>
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<p>Distribution of favorable areas of the Middle Cambrian caprock in the Tarim Basin.</p>
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20 pages, 9945 KiB  
Article
Analysis of the Meteorological Conditions and Atmospheric Numerical Simulation of an Aircraft Icing Accident
by Haoya Liu, Shurui Peng, Rong Fang, Yaohui Li, Lian Duan, Ten Wang, Chengyan Mao and Zisheng Lin
Atmosphere 2024, 15(10), 1222; https://doi.org/10.3390/atmos15101222 - 14 Oct 2024
Viewed by 369
Abstract
With the rapid development of the general aviation industry in China, the influence of high-impact aeronautical weather events, such as aircraft icing, on flight safety has become more and more prominent. On 1 March 2021, an aircraft conducting weather modification operations crashed over [...] Read more.
With the rapid development of the general aviation industry in China, the influence of high-impact aeronautical weather events, such as aircraft icing, on flight safety has become more and more prominent. On 1 March 2021, an aircraft conducting weather modification operations crashed over Ji’an City, due to severe icing. Using multi-source meteorological observations and atmospheric numerical simulations, we analyzed the meteorological causes of this icing accident. The results indicate that a cold front formed in northwestern China and then moved southward, which is the main weather system in the icing area. Based on the icing index, we conducted an analysis of the temperature, relative humidity, cloud liquid water path, effective particle radius, and vertical flow field, it was found that aircraft icing occurred behind the ground front, where warm-moist airflows rose along the front to result in a rapid increase of water vapor in 600–500 hPa. The increase of water vapor, in conjunction with low temperature, led to the formation of a cold stratiform cloud system. In this cloud system, there were a large number of large cloud droplets. In addition, the frontal inversion increased the atmospheric stability, allowing cloud droplets to accumulate in the low-temperature region and forming meteorological conditions conducive to icing. The Weather Research and Forecasting model was employed to provide a detailed description of the formation process of the atmospheric conditions conducive to icing, such as the uplifting motion along the front and supercooled water. Based on a real case, we investigated the formation process of icing-inducing meteorological conditions under the influence of a front in detail in this study and verified the capability of a numerical model to simulate the meteorological environment of frontal icing, in order to provide a valuable reference for meteorological early warnings and forecasts for general aviation. Full article
(This article belongs to the Special Issue Advance in Transportation Meteorology (2nd Edition))
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<p>Simulation region by using the Weather Research and Forecasting (WRF) model. D1 and D2 denote the outer and inner nested grids, with spatial resolutions of 9 km and 3 km, respectively, and the red triangle represents the location of the aircraft icing accident.</p>
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<p>Atmospheric circulation situation before and at the time of the icing accident: (<b>a</b>–<b>c</b>) 550 hPa and (<b>d</b>–<b>f</b>) 850 hPa geopotential height, temperature, and wind fields, as well as (<b>g</b>–<b>i</b>) surface pressure and temperature fields at (<b>a</b>,<b>d</b>,<b>g</b>) 20:00 BJT (Beijing Standard Time) on 28 February, (<b>b</b>,<b>e</b>,<b>h</b>) 08:00 BJT on 1 March and (<b>c</b>,<b>f</b>,<b>i</b>) 15:00 BJT on 1 March. The blue lines in (<b>a</b>–<b>f</b>) represent the isoheight contours (interval of 4, unit: 10 gpm). The green shaded areas in (<b>a</b>–<b>c</b>) indicate the relative humidity larger than 60%, the purple shaded areas in (<b>d</b>–<b>f</b>) denote the wind speed larger than 12 m/s, and the blue lines in (<b>g</b>–<b>i</b>) represent the isobars (interval of 5, unit: hPa). “H” and “L” represent the high- and low-pressure centers, respectively. The red contours indicate the isotherms (interval of 4, unit: °C), where solid and dotted lines denote the positive and negative values. The red triangles in (<b>g</b>–<b>i</b>) show the location of the aircraft icing accident.</p>
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<p>Spatial distribution of the 550 hPa Ic index at (<b>a</b>) 23:00 BJT on 28 February, (<b>b</b>) 07:00 BJT on 1 March, and (<b>c</b>) 15:00 BJT on 1 March, and time-longitude profiles of the (<b>d</b>) Ic index, (<b>e</b>) temperature and (<b>f</b>) relative humidity at 550 hPa. The green short line in (<b>a</b>) shows the latitudinal position of the time-longitude profiles in (<b>d</b>–<b>f</b>), the black triangles represent the accident location, and the green solids and dotted lines in (<b>d</b>–<b>f</b>) show the longitude of the accident location and the time of the accident, respectively.</p>
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<p>Altitude-time profiles of the (<b>a</b>) Ic index, (<b>b</b>) temperature, and (<b>c</b>) relative humidity. The green solid lines indicate the time of the icing accident, and the red dotted lines represent the heights of 600 hPa and 500 hPa.</p>
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<p>(<b>a</b>) Past 24 h and (<b>b</b>) 3 h temperature difference at 15:00 BJT on 1 March. The black triangles represent the location of the icing accident.</p>
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<p>Spatial distributions of the (<b>a</b>) cloud liquid water path, (<b>b</b>) effective particle radius, (<b>c</b>) cloud top temperature, and (<b>d</b>) optical thickness from the Moderate-resolution Imaging Spectroradiometer observations on 1 March.</p>
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<p>Skew-T Log-P diagram over Nanchang station at 08:00 BJT on 1 March. The thick black line indicates the ambient temperature profile, the thick blue line shows the dew point temperature profile, the red dotted line is the state curve, the gray lines are the isotherms, the brown lines are the dry adiabatic lines, and the green lines are the moist adiabatic lines.</p>
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<p>Height–latitude profiles of the meridional circulation (black streamline) superimposed on the (<b>a</b>) vertical velocity, (<b>b</b>) pseudo-equivalent potential temperature, and (<b>c</b>) water vapor flux across Ji’an City at 15:00 BJT on 1 March. The green lines show the latitude of the accident location, and the red dotted lines show the heights of 600 hPa and 500 hPa.</p>
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<p>(<b>a</b>) Spatial distribution of the simulated Ic index at 500 hPa at 15:00 BJT on 1 March, and the meridional vertical sections (along the green line in (<b>a</b>)) of the corresponding (<b>b</b>) temperature (black solid lines), relative humidity, and (<b>c</b>) vertical velocity over the accident location. The green solid lines in (<b>b</b>,<b>c</b>) represent the latitude of the accident location, and the red dotted lines in (<b>b</b>,<b>c</b>) show the heights of 600 hPa and 500 hPa.</p>
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<p>Meridional vertical section of the simulated (<b>a</b>) Ic index, (<b>b</b>) liquid water content, and (<b>c</b>) ice water content over the accident location at 15:00 BJT on 1 March.</p>
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<p>Same as <a href="#atmosphere-15-01222-f010" class="html-fig">Figure 10</a>b, but with superimposed (<b>a</b>) potential temperature and (<b>b</b>) pseudo-equivalent potential temperature.</p>
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<p>Altitude–time cross-sections of the simulated (<b>a</b>) Ic index, (<b>b</b>) vertical water vapor flux, (<b>c</b>) liquid water content, and (<b>d</b>) ice water content in Ji’an City from 07:00 BJT to 19:00 BJT on 1 March. The green solid lines represent the time of the accident, and the red dotted lines show the altitudes of 600 hPa and 500 hPa.</p>
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<p>Conceptual model of the weather conditions for aircraft icing formation under the influence of a cold front.</p>
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12 pages, 1658 KiB  
Article
Two-Step Glaciation of Antarctica: Its Tectonic Origin in Seaway Opening and West Antarctica Uplift
by Hsien-Wang Ou
Glacies 2024, 1(2), 80-91; https://doi.org/10.3390/glacies1020006 (registering DOI) - 12 Oct 2024
Viewed by 250
Abstract
The Cenozoic glaciation of Antarctica proceeded through two distinct steps around 35 and 15 million years ago. The first icing was attributed to thermal isolation due to the opening of the Drake/Tasman passages and the development of the Antarctic circumpolar current. I also [...] Read more.
The Cenozoic glaciation of Antarctica proceeded through two distinct steps around 35 and 15 million years ago. The first icing was attributed to thermal isolation due to the opening of the Drake/Tasman passages and the development of the Antarctic circumpolar current. I also subscribe to this “thermal isolation” but posit that, although the snowline was lowered below the Antarctic plateau for it to be iced over, the glacial line remains above sea level to confine the ice sheet to the plateau, a “partial” glaciation that would be sustained over time. The origin of the second icing remains unknown, but based on the sedimentary evidence, I posit that it was triggered when the isostatic rebound of West Antarctica caused by heightened erosion rose above the glacial line to be iced over by the expanding plateau ice, and the ensuing cooling lowered the glacial line to sea level to cause the “full” glaciation of Antarctica. To test these hypotheses, I formulate a minimal box model, which is nonetheless subjected to thermodynamic closure that allows a prognosis of the Miocene climate. Applying representative parameter values, the model reproduces the observed two-step icing followed by the stabilized temperature level, in support of the model physics. Full article
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<p>The model configuration showing warm/cold/Antarctic ocean boxes of coupled ocean/atmosphere system. The incoming SW flux (<math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi>q</mi> </mrow> <mrow> <mi>i</mi> </mrow> <mrow> <mo>∗</mo> </mrow> </msubsup> </mrow> </semantics></math>), after the atmospheric absorption and reflection by the planetary albedo is absorbed by the ocean (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>q</mi> </mrow> <mrow> <mi>i</mi> </mrow> </msub> </mrow> </semantics></math>) to differentiate the SST (thick solid line), which in turn differentiates the SAT by the convective flux <math display="inline"><semantics> <mrow> <mo>(</mo> <msub> <mrow> <mi>q</mi> </mrow> <mrow> <mi>c</mi> </mrow> </msub> </mrow> </semantics></math>). The latitudinal coordinate is defined as <math display="inline"><semantics> <mrow> <mi>y</mi> <mo>=</mo> <mrow> <mrow> <mi mathvariant="normal">sin </mi> </mrow> <mo>⁡</mo> <mrow> <mo>(</mo> <mi mathvariant="normal">l</mi> <mi mathvariant="normal">a</mi> <mi mathvariant="normal">t</mi> <mi mathvariant="normal">i</mi> <mi mathvariant="normal">t</mi> <mi mathvariant="normal">u</mi> <mi mathvariant="normal">d</mi> <mi mathvariant="normal">e</mi> <mo>)</mo> </mrow> </mrow> </mrow> </semantics></math> hence proportional to the surface area on a sphere, and the SST shown is the EOB solution assuming small and thermal-isolated Antarctic box.</p>
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<p>Glacial states for Antarctica: (<b>a</b>) “partial” glaciation when the ice sheet is confined to the Antarctic plateau; (<b>b</b>) “partial-plus” glaciation when the ice sheet covers the Antarctic plateau and West Antarctica; and (<b>c</b>) “full” glaciation when the ice sheet covers entire Antarctica.</p>
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<p>Time evolution of the ice cover subjected to the two icings (circled numbers). <math display="inline"><semantics> <mrow> <mi>P</mi> <mo>/</mo> <msup> <mrow> <mi>P</mi> </mrow> <mrow> <mo>+</mo> </mrow> </msup> <mo>/</mo> <mi>F</mi> <mtext> </mtext> </mrow> </semantics></math> are partial/partial-plus/full glaciation, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>i</mi> </mrow> <mrow> <mi>A</mi> <mi>P</mi> </mrow> </msub> </mrow> </semantics></math>/<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>i</mi> </mrow> <mrow> <mi>W</mi> <mi>A</mi> </mrow> </msub> <mo>/</mo> <msub> <mrow> <mi>i</mi> </mrow> <mrow> <mi>A</mi> </mrow> </msub> </mrow> </semantics></math> are areas of Antarctic plateau/West Antarctica/Antarctica, thin solid/dashed lines are for supercritical/subcritical sensitivity, and thick solid line represents the modeled two-step icing, respectively.</p>
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<p>Modeled time series of SST (thick solid, doubling as summer SAT hence SL), GL (thick dashed), and ice cover <span class="html-italic">i</span> (dotted, in fraction of the cold-box area), with sustained partial/partial+/full glaciations indicated. Thin vertical lines mark the onset of the two icings (circled numbers): the first when SL falls below the Antarctic plateau (light shade) and the second when West Antarctica (dark shade) rises above GL. Transitions between glacial states (striped) are strongly magnified for visualization.</p>
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<p>Range of the effective sensitivity <math display="inline"><semantics> <mrow> <msup> <mrow> <mi>s</mi> </mrow> <mrow> <mo>∗</mo> </mrow> </msup> </mrow> </semantics></math> (shaded) for the observed two-step icing (<math display="inline"><semantics> <mrow> <mi>P</mi> <mo>→</mo> <mi>F</mi> </mrow> </semantics></math>) on the parameter space of global (<math display="inline"><semantics> <mrow> <mover accent="true"> <mrow> <mi>s</mi> </mrow> <mo>¯</mo> </mover> </mrow> </semantics></math>) and local (<math display="inline"><semantics> <mrow> <msup> <mrow> <mi>s</mi> </mrow> <mrow> <mo>′</mo> </mrow> </msup> </mrow> </semantics></math>) sensitivities. Above this range, the first icing would fully glaciate Antarctica (<math display="inline"><semantics> <mrow> <mi>F</mi> </mrow> </semantics></math>) to preclude a second icing, and below this range, the second icing only glaciates West Antarctica (<math display="inline"><semantics> <mrow> <mi>P</mi> <mo>→</mo> <msup> <mrow> <mi>P</mi> </mrow> <mrow> <mo>+</mo> </mrow> </msup> </mrow> </semantics></math>). The solid rectangle represents the standard value of sensitivities (<math display="inline"><semantics> <mrow> <mo>±</mo> </mrow> </semantics></math>10%).</p>
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16 pages, 7497 KiB  
Article
The Tectonic-Sedimentary Evolution of the Yan’an Formation in the Ordos Basin and Its Petroleum Geological Significance
by Taping He, Yaoqi Zhou, Yuanhao Li, Zhenwei Zhang, Yue Zhang and Gaixia Cui
Appl. Sci. 2024, 14(20), 9278; https://doi.org/10.3390/app14209278 - 12 Oct 2024
Viewed by 431
Abstract
Utilizing well logging data, outcrop profiles, and previous research, this study analyzes the sedimentary and tectonic evolution of the Yan’an Formation in the Ordos Basin, correlating the resulting sedimentary facies with hydrocarbon reservoirs to establish the necessary connections. The study reveals that: (1) [...] Read more.
Utilizing well logging data, outcrop profiles, and previous research, this study analyzes the sedimentary and tectonic evolution of the Yan’an Formation in the Ordos Basin, correlating the resulting sedimentary facies with hydrocarbon reservoirs to establish the necessary connections. The study reveals that: (1) Vertically, the sediment grain size shows a pattern of coarser grains at the bottom and top, with finer grains in the middle. Horizontally, the grain size tends to become finer from the northern, western, and southern parts of the basin toward the central-western region. (2) Tectonic movements during the Yan’an period controlled the sedimentary environment. These tectonic activities, through uplift and subsidence, caused the Yan’an Formation to experience four stages of sedimentary environments: braided river, lake, delta, and meandering river. (3) The Yan’an Formation exhibits four types of reservoir sandbody stacking patterns—continuous superposition, intermittent superposition, interbedded sand-mud, and single sandbody types—with continuous and intermittent stacking being the most common. (4) The hydrocarbons in the Yan’an Formation originated from the Chang 7 Member of the Yanchang Formation and migrated into the Yan’an reservoirs. The oil is characterized by its low density, low viscosity, and low pour point, indicating it is a high-maturity, high-quality crude oil. Full article
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<p>(<b>a</b>) Schematic diagram showing the location of the Ordos Basin. (<b>b</b>) Distribution of structural units in the Ordos Basin.</p>
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<p>Field outcrop photos of marker beds from the Yan’an Formation. (<b>a</b>) Gray, massive, normally graded sandstone (Baotashan sandstone). (<b>b</b>) Large planar cross-bedding (Baotashan sandstone). (<b>c</b>) Interface between Peizhuang sandstone and overlying gray-black mudstone. (<b>d</b>) Iron nodules (Peizhuang sandstone). (<b>e</b>) Reddish-brown sandstone with parallel bedding (Zhenwudong sandstone). (<b>f</b>) Gray-white sandstone with parallel bedding (Zhenwudong sandstone).</p>
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<p>Sequence stratigraphy division of the Yan’an Formation in the Ordos Basin (modified from [<a href="#B33-applsci-14-09278" class="html-bibr">33</a>]).</p>
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<p>Outcrops from the Yan’an Formation. (<b>a</b>) Conglomerate at the base of Yan 10. (<b>b</b>) Shallow lacustrine mudstone of Yan 5.</p>
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<p>Docking and rotation process of the North China Block and Yangtze Block [<a href="#B38-applsci-14-09278" class="html-bibr">38</a>].</p>
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<p>Paleogeographic map before the deposition of the Yan’an Formation.</p>
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<p>Paleogeographic map of the Yan’an Formation during the Yan 10 period.</p>
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<p>Sedimentary patterns of the Ordos Basin during the Yan 8 period.</p>
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<p>Stratigraphic superposition relationships of the Yan 10 sandbody in the Ordos Basin.</p>
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<p>Logging responses of various sandbody types.</p>
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26 pages, 8635 KiB  
Review
The Mundeck Salt Unit: A Review of Aptian Depositional Context and Hydrocarbon Potential in the Kribi-Campo Sub-Basin (South Cameroon Atlantic Basin)
by Mike-Franck Mienlam Essi, Eun Young Lee, Mbida Yem, Jean Marcel Abate Essi and Joseph Quentin Yene Atangana
Geosciences 2024, 14(10), 267; https://doi.org/10.3390/geosciences14100267 - 11 Oct 2024
Viewed by 237
Abstract
The Kribi-Campo sub-basin, located in the Gulf of Guinea, constitutes the southeastern segment of the Cameroon Atlantic Margin. Drilling in the Aptian salt unit revealed a sparse hydrocarbon presence, contrasting with modest finds in its counterparts like the Ezanga Salt in Gabon and [...] Read more.
The Kribi-Campo sub-basin, located in the Gulf of Guinea, constitutes the southeastern segment of the Cameroon Atlantic Margin. Drilling in the Aptian salt unit revealed a sparse hydrocarbon presence, contrasting with modest finds in its counterparts like the Ezanga Salt in Gabon and the Rio Muni Salt in Equatorial Guinea. This discrepancy prompted a reassessment of the depositional context and hydrocarbon potential of the Mundeck salt unit. By integrating 2D seismic reflection and borehole data analysis, this study established the structural and stratigraphic framework of the area, emphasizing the salt unit’s significance. Borehole data indicate a localized salt unit offshore Kribi, with seismic reflection data revealing distinct forms of diapir and pillow. This salt unit displays a substantial lateral extent with thicknesses ranging from 4000 m to 6000 m. The depositional context is linked to the following two major geological events: a significant sea-level drop due to margin uplift during the Aptian and thermodynamic processes driven by transfer faults related to mid-oceanic ridge formation. These events were crucial in forming and evolving the Mundeck Salt. Regarding hydrocarbon prospects, this study identifies the unit as being associated with potential petroleum plays, supported by direct hydrocarbon indicators and fault-related structures. The findings suggest that untapped hydrocarbon resources may still exist, underscoring the need for further exploration and analysis. Full article
(This article belongs to the Section Sedimentology, Stratigraphy and Palaeontology)
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<p>Map of the study area showing the Gulf of Guinea and the Cameroon Atlantic Margin (CAM) in western Africa (revised from [<a href="#B14-geosciences-14-00267" class="html-bibr">14</a>]). The CAM is segmented into the Northern Cameroon Atlantic Basin (NCAB; Rio Del Rey Basin) and the Southern Cameroon Atlantic Basin (SCAB; Douala and Kribi-Campo sub-basins) [<a href="#B15-geosciences-14-00267" class="html-bibr">15</a>], with respect to the mainland of Cameroon and Africa (inset). The Cameroon Volcanic Line (grey dashed line) indicates the boundary between the Northern and Southern CABs.</p>
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<p>Extent of the South Atlantic Salt Unit (pink range) across the Southwest African Margin from the Benguela Basin (Angola) to the Rio-Muni Basin (Equatorial Guinea) [<a href="#B43-geosciences-14-00267" class="html-bibr">43</a>].</p>
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<p>Stratigraphic framework of the study area showing major formations, unconformities, and tectono-sedimentary phases (modified from [<a href="#B12-geosciences-14-00267" class="html-bibr">12</a>]).</p>
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<p>Geodynamic and general paleogeographic evolution of the Cameroon Atlantic Basin from the Late Jurassic to Cretaceous (revised from [<a href="#B53-geosciences-14-00267" class="html-bibr">53</a>]). (<b>1</b>–<b>4</b>) Paleogeographic evolution between Brazil and Africa; (<b>A</b>–<b>D</b>): Tectonostratigraphic evolution of the Cameroon Atlantic Basin. CAO—Central Atlantic Ocean, TO—Tethys Ocean, SA—South Atlantic, NA—North Atlantic.</p>
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<p>Location of the (<b>A</b>) SCAB in the Atlantic Ocean and (<b>B</b>) boreholes and seismic sections in the southeastern segment of the Cameroon Atlantic Margin.</p>
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<p>Salt structures and traps [<a href="#B36-geosciences-14-00267" class="html-bibr">36</a>]: (<b>a</b>) dome trap formed by salt pillow; (<b>b</b>) turtle structure trap; (<b>c</b>) dome trap formed by trusting; (<b>d</b>) rollover anticline; (<b>e</b>) trap formed by diapirism on two flanks; (<b>f</b>,<b>g</b>) trap formed by fault sealing; (<b>h</b>) lithological trap or lithological–structural trap; (<b>i</b>) unconformity trap; (<b>j</b>) lithological trap formed by diapir collapse.</p>
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<p>Lithostratigraphic profiles of boreholes (<b>a</b>) B1, (<b>b</b>) B2, (<b>c</b>) B3, (<b>d</b>) B4, and (<b>e</b>) B5, focusing on the Aptian to Albian strata (see <a href="#geosciences-14-00267-f005" class="html-fig">Figure 5</a> for location). (<b>1</b>) Sandstone interbedded siltstones, (<b>2</b>) dark shales, (<b>3</b>) anhydrite traces, (<b>4</b>) salt, (<b>5</b>) Late Cretaceous to recent, (<b>6</b>) Albian, (<b>7</b>) Aptian–Albian, (<b>8</b>) Aptian.</p>
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<p>Seismic interpretation of 38 km long NE–SW section SS1: (<b>a</b>) seismic profile of SS1; (<b>b</b>) major seismic sequences (SE) with boundaries and horizons (G, H, I, and J) (SR: seafloor reflector, SE1: Late Jurassic to Barremian, SE2: early to middle Aptian, SE3: middle Aptian to late Albian); (<b>c</b>) indication of salt distribution (pink-shaded area) based on seismic characteristics (R: regression, T: transgression, DLS: downlap surface, FS: flooding surface, SB: sequence boundary). Blue arrows indicate basement uplift.</p>
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<p>Seismic interpretation of 45-km long NE–SW section SS2: (<b>a</b>) seismic profile of SS2; (<b>b</b>) major seismic sequences (SE) with boundaries and horizons (H, I, and J) (SR: seafloor reflector; SE1: Late Jurassic to Barremian; SE2: early to middle Aptian; SE3: middle Aptian to late Albian); (<b>c</b>) indication of salt distribution (pink-shaded area) based on seismic characteristics (R: regression; T: transgression; DLS: downlap surface; FS: flooding surface; SB: sequence boundary). Blue arrows indicate basement uplift.</p>
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<p>Compiled stratigraphic and structural setting with salt distribution in the study area: (<b>a</b>) SS1 profile and (<b>b</b>) SS2 profile. KCH: Kribi-Campo High. Blue arrows indicate basement uplift.</p>
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<p>A fence diagram showing the spatial distribution of salt units (pink layer) on NW- and NE-trending seismic profiles in the Kribi-Campo sub-basin, based on an integrated seismic borehole interpretation (revised from [<a href="#B14-geosciences-14-00267" class="html-bibr">14</a>]). From the bottom upwards, black surface indicates the top Precambrian basement; yellow surface indicates the Early Aptian flooding surface covering the Precambrian basement; blue surface indicates the top salt horizon of Aptian age; red surface indicates the Top Albian unconformity. The ① light brown, ② blue, and ③ green layers represent the LST (SE1), TST (SE2), and HST (SE3), respectively.</p>
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<p>Regional geological map of the middle Atlantic Ocean, showing the salt basin spanning from Angola to Cameroon and on the Brazilian margin (revised from [<a href="#B76-geosciences-14-00267" class="html-bibr">76</a>]). The MOR and associated transform fault lines are outlined. SCAB: South Cameroon Atlantic Basin; E.G.: Equatorial Guinea; C.A.R: Central Africa Republic; D.R.C: Democratic Republic of Congo.</p>
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18 pages, 3771 KiB  
Article
Tectonic Activity Analysis of the Laji-Jishi Shan Fault Zone: Insights from Geomorphic Indices and Crustal Deformation Data
by Yujie Ma, Weiliang Huang, Jiale Zhang, Yan Wang, Dong Yu and Baotian Pan
Remote Sens. 2024, 16(20), 3770; https://doi.org/10.3390/rs16203770 - 11 Oct 2024
Viewed by 458
Abstract
Fault segmentation plays a critical role in assessing seismic hazards, particularly in tectonically complex regions. The Laji-Jishi Shan Fault Zone (LJSFZ), located on the northeastern margin of the Tibetan Plateau, is a key structure that accommodates regional tectonic stress. This study integrates geomorphic [...] Read more.
Fault segmentation plays a critical role in assessing seismic hazards, particularly in tectonically complex regions. The Laji-Jishi Shan Fault Zone (LJSFZ), located on the northeastern margin of the Tibetan Plateau, is a key structure that accommodates regional tectonic stress. This study integrates geomorphic indices, cross-fault deformation rate profiles, and 3D crustal electrical structure data to analyze the varying levels of tectonic activity across different segments of the LJSFZ. We extracted 160 drainage basins along the strike of the LJSFZ from a 30 m resolution digital elevation model and calculated geomorphic indices, including the hypsometric integral (HI), stream length-gradient index (SL), and channel steepness index (ksn), to assess the variations in tectonic activity intensity along the strike of the LJSFZ. The basins were categorized based on river flow directions to capture potential differences across the fault zone. Our results show that the eastern basins of the LJSFZ exhibit the strongest tectonic activity, demonstrated by significantly higher SL and ksn values compared to other regions. A detailed segmentation analysis along the northern Laji Shan Fault and eastern Jishi Shan Fault identified distinct fault segments characterized by variations in SL and ksn indices. Segments with high SL values (>500) correspond to higher crustal uplift rates (~3 mm/year), while segments with lower SL values exhibit lower uplift rates (~2 mm/year), as confirmed by cross-fault deformation profiles derived from GNSS and InSAR data. This correlation demonstrates that geomorphic indices effectively reflect fault activity intensity. Additionally, 3D crustal electrical structure data further indicate that highly conductive mid- to lower-crustal materials originating from the interior of the Tibetan Plateau are obstructed at segment L3 of the LJSFZ. This obstruction leads to localized intense uplift and enhanced fault activity. These findings suggest that while the regional stress–strain pattern of the northeastern Tibetan Plateau is the primary driver of the segmented activity along the Laji-Jishi Shan belt, the direction of localized crustal flow is a critical factor influencing fault activity segmentation. Full article
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<p>Tectonic background and topographic features of the LJSFZ, northeastern Tibetan Plateau. (<b>a</b>) Major tectonic structures across the Tibetan Plateau (modified from Huang (2019) [<a href="#B29-remotesensing-16-03770" class="html-bibr">29</a>]), with the white square indicating the area shown in (<b>b</b>). (<b>b</b>) Color-shaded relief map compiled using active fault and earthquake information of the northeastern Tibetan Plateau. The active faults’ data are from Chinese Seismic Intensity Zoning Map (GB18306-2015) [<a href="#B30-remotesensing-16-03770" class="html-bibr">30</a>] and Zhang (2012) [<a href="#B31-remotesensing-16-03770" class="html-bibr">31</a>]. Earthquake locations is from Cheng et al. (2017) [<a href="#B32-remotesensing-16-03770" class="html-bibr">32</a>]. Abbreviations: NRYSF: North Riyue Shan Fault; SRYSF: Sorth Riyue Shan Fault; WQLF: West Qinling Fault.</p>
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<p>(<b>a</b>,<b>b</b>) The lithologic and drainage basin distribution map of the LJSFZ region (lithological information modified after Fu et al., 2018 [<a href="#B46-remotesensing-16-03770" class="html-bibr">46</a>]; the fault information is consistent with the legend in <a href="#remotesensing-16-03770-f001" class="html-fig">Figure 1</a>b). (1. Mafic-ultramafic rock; 2. diorite; 3. granite; 4. peridotite; 5. Hualong Complex: gneiss, schist, and amphibolite; 6. Qingshipo Formation: phyllite and limestone; 7. Dongchagou Formation: schist, phyllite, and quartzite; 8. Huashishan Group: dolomite and limestone; 9. Cambrian volcano-sedimentary series; 10. Ordovician volcanic and sedimentary rocks; 11. Silurian sandstone and conglomerate; 12. Permian sedimentary rock; 13. Triassic sedimentary rock; 14. Jurassic–Quaternary sedimentary rock). The black dashed line represents the boundary between the northern-southern and eastern-western divisions. (<b>c</b>,<b>d</b>) The 4 km wide swath profiles of A-A′ and B-B′. The shaded area represents the range between the maximum and minimum elevation of the topographic profile, while the red line indicates the fault location.</p>
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<p>Geomorphic indices’ distribution maps of the LJSFZ (with different colors representing varying levels of activity) and box-and-whisker diagrams (showing the means, medians, interquartile ranges, and data ranges). (<b>a</b>) <span class="html-italic">HI</span> distribution map, (<b>b</b>) <span class="html-italic">SL</span> distribution map and segmentation of fault activity along the northern and eastern sides of the LJFSZ, (<b>c</b>) <span class="html-italic">k<sub>sn</sub></span> distribution map.</p>
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<p>Comparison of geomorphic indices <span class="html-italic">HI</span>, <span class="html-italic">SL</span>, and <span class="html-italic">k</span><sub>sn</sub> on the northern Laji Shan and the eastern Jishi Shan faults; the red and yellow horizontal, dashed lines in panels. (<b>a</b>–<b>c</b>) represent the boundaries between strong, moderate, and weak tectonic activity based on El Hamdouni et al. [<a href="#B49-remotesensing-16-03770" class="html-bibr">49</a>]; the blue dashed line represents the location of the Yellow River; (<b>a</b>) variation of <span class="html-italic">HI</span> values along the mountain strike; (<b>b</b>) variation of <span class="html-italic">SL</span> values along the mountain strike; (<b>c</b>) variation of <span class="html-italic">k<sub>sn</sub></span> values along the mountain strike; (<b>d</b>) variations in the strike of the northern Laji Shan and eastern Jishi Shan faults.</p>
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<p>Vertical crustal deformation profiles across different segments of the LJSFZ; vertical velocity data from Wu et al., 2024 [<a href="#B43-remotesensing-16-03770" class="html-bibr">43</a>] and precipitation data: (<b>a</b>) location of the profiles and the average annual precipitation (mm/year) in the study area from 1970 to 2000 (obtained from: <a href="https://www.worldclim.org" target="_blank">https://www.worldclim.org</a>, accessed on 26 September 2024); (<b>b</b>) seven vertical crustal deformation profiles. In the topographic profiles, red, orange, and green represent high, medium, and low <span class="html-italic">SL</span> values for the drainage basins the profiles’ cross, respectively. Red and black fault lines indicate Holocene active faults and Cenozoic faults. The black dots in the deformation profiles represent vertical uplift rates, with the purple line showing the fitted result of these points. The black dashed line indicates the average uplift rate for the maximum and minimum portions of the profile, while the red and gray squares represent the error ranges.</p>
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<p><span class="html-italic">SL</span> Values and Vu (uplift rates) linear fit.</p>
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<p>Crustal deformation field and electrical structure: (<b>a</b>) GNSS velocity field (horizontal black arrows) and leveling data (vertical yellow arrow) from Zhuang et al., 2023 [<a href="#B65-remotesensing-16-03770" class="html-bibr">65</a>], along with subsurface electrical structure at 10 km depth from Zhao et al., 2022 [<a href="#B38-remotesensing-16-03770" class="html-bibr">38</a>], The white dashed line is the profile line; (<b>b</b>) left-lateral strike-slip movement along the Laji Shan fault; (<b>c</b>) cross-section A-A′ topographic profile, adapted from [<a href="#B46-remotesensing-16-03770" class="html-bibr">46</a>], the lithology fill is consistent with <a href="#remotesensing-16-03770-f002" class="html-fig">Figure 2</a>. HCL refers to the high-conductivity layer, HRB refers to the high-resistivity body, and NLJSF refers to the North Laji Shan fault.</p>
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18 pages, 10724 KiB  
Article
A Preliminary Study on Mitigation Techniques for 3D Deformation of Adjacent Buildings Induced by Tunnelling in Water-Rich Strata: A Case
by Wei He, Xiangxun Kong, Liang Tang, Wenli Chen, Wei Hu and Guanbin Chen
Symmetry 2024, 16(10), 1339; https://doi.org/10.3390/sym16101339 - 10 Oct 2024
Viewed by 357
Abstract
Controlling the ground settlement and building deformation triggered by shield tunnelling, particularly within water-rich strata, poses a significant engineering challenge. This study conducts a finite element (FE) analysis focusing on the ground settlement and deformation of adjacent structures (with a minimum distance of [...] Read more.
Controlling the ground settlement and building deformation triggered by shield tunnelling, particularly within water-rich strata, poses a significant engineering challenge. This study conducts a finite element (FE) analysis focusing on the ground settlement and deformation of adjacent structures (with a minimum distance of 2.6 m to the tunnel) due to earth pressure balance (EPB) shield tunnelling. The analysis incorporates the influence of groundwater through a 3D fluid–solid coupling model. This study assesses the effects of tunnelling on the behaviour of nearby buildings and introduces two mitigation strategies: the vertical partition method and the portal partition method. Their effectiveness is compared and evaluated. Our findings reveal that the deformation curves of the stratum and the building are influenced by the accumulation and dissipation of pore pressure. The vertical partition method reduced surface settlement by approximately 70%, while the portal partition method further minimized building deformation but required careful application to avoid issues like uplift. Both methods effectively mitigate the impacts of tunnel construction, with the portal partition method offering superior performance in terms of material use and cost efficiency. This research provides a scientific foundation and technical guidance for similar engineering endeavours, which is vital for ensuring the safety of metro tunnel construction and the stability of adjacent buildings. Full article
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<p>Sketch of the existing building and tunnel, together with the soil profile.</p>
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<p>The tunnelling progress curve for the tunnel.</p>
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<p>Geometry and mesh discretization of the three-dimensional finite element model.</p>
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<p>The deformation contour after the tunnel excavation.</p>
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<p>Comparison of surface settlement development at point O above the tunnel axis with and without adjacent buildings.</p>
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<p>Comparison of surface settlement trough with and without adjacent building.</p>
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<p>Settlement development at corners of the adjacent building.</p>
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<p>Differences in the development of settlement for the adjacent building in different directions.</p>
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<p>Cross-sectional sketch of deformation control measures by grouting reinforcement. (<b>a</b>) Measure A: Vertical partition method. (<b>b</b>) Measure B: Portal partition method.</p>
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<p>The deformation contour after the tunnel excavation with the vertical partition method.</p>
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<p>Settlement development at point O above the tunnel axis with the vertical partition method.</p>
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<p>Surface settlement trough with the vertical partition method.</p>
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<p>Development of settlement at corners of the adjacent building with the vertical partition method.</p>
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<p>Differences in the development of settlement for the adjacent building in different directions with the vertical partition method.</p>
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<p>The deformation contour after the tunnel excavation with the portal partition method.</p>
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<p>Settlement development at point O above the tunnel axis with the portal partition method.</p>
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<p>Surface settlement trough with the portal partition method.</p>
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<p>Development of settlement at the corners of the adjacent building with the portal partition method (<span class="html-italic">L</span>48<span class="html-italic">W</span>1).</p>
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<p>Differences in the development of settlement for the adjacent building in different directions with the portal partition method (<span class="html-italic">L</span>48<span class="html-italic">W</span>1).</p>
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<p>Comparison of settlement at point O above the tunnel axis with different measures.</p>
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<p>Comparison of settlement of the adjacent building with different measures.</p>
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<p>Comparison of the difference in settlement for the adjacent building with different measures.</p>
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<p>Comparison of the reinforced area volume with different measures.</p>
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14 pages, 8798 KiB  
Article
Characteristics and Origin of Natural Gas in Yongfeng Sub-Sag of Bogda Mountain Front Belt
by Xiangcan Sun, Yi Chen, Xingui Zhou, Zhongkai Bai, Yukun Du, Lei Wen and Kun Yuan
Appl. Sci. 2024, 14(19), 9085; https://doi.org/10.3390/app14199085 - 8 Oct 2024
Viewed by 345
Abstract
By systematically analyzing the natural gas composition, carbon isotopes, and source rock characteristics in the Yongfeng sub-sag of the Bogda Mountain front belt, natural gas characteristics were determined, and the genetic types and sources of natural gas were investigated. The research results indicate [...] Read more.
By systematically analyzing the natural gas composition, carbon isotopes, and source rock characteristics in the Yongfeng sub-sag of the Bogda Mountain front belt, natural gas characteristics were determined, and the genetic types and sources of natural gas were investigated. The research results indicate that methane is the main component of natural gas in the Yongfeng sub-sag, with low levels of heavy hydrocarbons and a high drying coefficient. These characteristics make it dry gas, which refers to natural gas with a methane content of over 95%. The ethane carbon isotope δ13C2 of natural gas is −28.5‰ and belongs to oil type gas. The methane carbon isotope δ13C1 of natural gas is −58.6‰~−59.4‰, has a relatively depleted methane carbon isotope value, shows significant differences from the surrounding natural gas methane carbon isotope, and belongs to the category of biogenic gas. The Permian Lucaogou Formation is the main source rock in the study area, with good organic matter abundance. The microscopic components of kerogen are mainly composed of sapropelic formations and the organic matter type is I–II1. The source rock has a high maturity and has reached the mature stage, mainly consisting of oil and wet gas. The ethane carbon isotope of natural gas in the Yongfeng sub-sag shows as oil type gas, which is consistent with the kerogen type of the Lucaogou Formation source rocks, indicating that the natural gas mainly comes from the Lucaogou Formation source rocks. Based on comprehensive data and information on natural gas composition, carbon isotopes, and burial history of the source rocks, it is believed that some of the crude oil generated from the Lucaogou Formation in the early stage underwent biodegradation due to tectonic uplift, resulting in biogenic methane and the formation of crude oil biodegraded gas. Full article
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<p>Location map of the study area.</p>
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<p>Column of source-reservoir-cap combination in the study area.</p>
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<p>Histogram of TOC (<b>left</b>) and chloroform bitumen A (<b>right</b>) for source rocks in the Lucaogou Formation of Well Xyd1.</p>
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<p>Distribution sequence of natural gas carbon isotope components in different areas in the southern margin of the Junggar Basin [<a href="#B9-applsci-14-09085" class="html-bibr">9</a>].</p>
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<p>Identification diagram of natural gas δ<sup>13</sup>C<sub>1</sub>—δ<sup>13</sup>C<sub>2</sub>—δ<sup>13</sup>C<sub>3</sub> in different areas in the southern margin of the Junggar Basin [<a href="#B19-applsci-14-09085" class="html-bibr">19</a>,<a href="#B21-applsci-14-09085" class="html-bibr">21</a>].</p>
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<p>Characteristics of natural gas light hydrocarbon composition of Well Xyd1. (<b>a</b>) Triangle diagram of natural gas C<sub>7</sub> light hydrocarbons; (<b>b</b>) Triangle diagram of natural gas C<sub>5–7</sub> light hydrocarbons; (<b>c</b>) Triangle diagram of natural gas C<sub>6–7</sub> light hydrocarbons.</p>
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<p>Genetic types of natural gas in different areas of the southern margin of the Junggar Basin [<a href="#B27-applsci-14-09085" class="html-bibr">27</a>].</p>
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21 pages, 3480 KiB  
Review
Patterns of Zoological Diversity in Iran—A Review
by Sajad Noori, Reza Zahiri, Gholam Hosein Yusefi, Mahdi Rajabizadeh, Oliver Hawlitschek, Ehsan Rakhshani, Martin Husemann and Hossein Rajaei
Diversity 2024, 16(10), 621; https://doi.org/10.3390/d16100621 - 8 Oct 2024
Viewed by 1012
Abstract
Iran is a country characterized by high biodiversity and complex biogeographic patterns. Its diverse landscape and steep climatic gradients have resulted in significant faunal diversity and high level of endemism. To better understand these patterns, we investigated the historical environmental drivers that have [...] Read more.
Iran is a country characterized by high biodiversity and complex biogeographic patterns. Its diverse landscape and steep climatic gradients have resulted in significant faunal diversity and high level of endemism. To better understand these patterns, we investigated the historical environmental drivers that have shaped Iran’s current geological and climatological conditions, and, consequently, have shaped the current zoological distribution patterns. Furthermore, we provide an overview of the country’s zoological diversity and zoogeography by reviewing published studies on its fauna. We analyzed nearly all available catalogs, updated checklists, and relevant publications, and synthesized them to present a comprehensive overview of Iran’s biodiversity. Our review reports approximately 37,500 animal species for Iran. We also demonstrated that the country serves as a biogeographic transition zone among three zoogeographical realms: the Palearctic, Oriental, and Saharo-Arabian, where distinct faunal elements intersect. This biogeographic complexity has made it challenging to delineate clear zoogeographical zones, leading to varying classifications depending on the taxon. The uplift of mountain ranges, in particular, has played a crucial role in shaping faunal diversity by serving as barriers, corridors, and glacial refugia. These mountains are largely the result of orogeny and plate collisions during the Mesozoic and Cenozoic eras, coupled with the development of the Tethyan Sea and the uplift of several ranges during the Miocene. Despite these insights, our understanding of biodiversity distribution in Iran remains incomplete, even for some well-studied taxa, such as certain vertebrate families and arthropods. We highlight the existing gaps in knowledge regarding zoogeographical patterns and propose approaches to address these gaps, particularly concerning less-studied species and the highly diverse group of insects. Full article
(This article belongs to the Section Animal Diversity)
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<p>(<b>a</b>) Iran intersects with three global zoogeographical realms: Palearctic, Saharo-Arabian, and Oriental (adopted from [<a href="#B3-diversity-16-00621" class="html-bibr">3</a>]). (<b>b</b>) The western and norther regions of Iran belong to two of the global biodiversity hotspots (Caucasus and Irano-Anatolian).</p>
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<p>Maps of abiotic variables and historical regionalization for animals and plants of Iran. Maps for annual average (<b>a</b>) temperature (°C) and (<b>b</b>) precipitation (mm) in Iran between 1970 and 2000 (<a href="http://www.worldclim.org" target="_blank">www.worldclim.org</a>); (<b>c</b>) zoogeographic subdivisions of the country based on mammal data (adopted from Blanford 1876); (<b>d</b>) phytogeographic regions (adopted from White and Léonard 1991).</p>
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<p>Position of microplates in Iran through time. (<b>a</b>) Cimmerian superterrane (microplates of Iran and neighboring countries) separated from northern regions of the Gondwana supercontinent and collided to the southern part of Laurasia. (<b>b</b>) The Tethyan seaway connected the major oceans. (<b>c</b>) Creation of <span class="html-italic">Gomphotherium</span> land bridge by the collision of the Arabian and Eurasian plates. (<b>d</b>) Closure of Tethyan seaway and uplifting of mountain ranges (Zagros and Alborz) in Iran.</p>
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<p>Proportion of species in different animal taxa for Iran. Overall, 94.4% of the species in our dataset belong to invertebrates, while only 5.6% are vertebrates. Insects include 72.3% of all the species in the country, of which 18.5% belong to Coleoptera, 17.1% to Hymenoptera, 13.4% to Lepidoptera, 9.6% to Hemiptera, and 8.8% to Diptera. Other diverse groups are Trombidiformes (4%), Sarcoptiformes (3%), fishes (all Agnatha, Chondrichthyes, and Osteichthyes; 2.8%), Araneae (2.4%), and Crustacea (2.1%). Group 1*: Ctenophora, Porifera, Placozoa, Cnidaria, Myxozoa, Cephalochordata, and Tunicata (0.5%); Group 2*: Echinodermata, Chaetognatha, Nematoda, Nematomorpha, and Tardigrada (3.7%); Group 3*: Bryozoa, Annelida, Mollusca, Gastrotricha, Platyhelminthes, Rotifera, and Acanthocephala (3.3%); Arachnids*: Opiliones, Scorpiones, Solifugae, Pseudoscorpiones, and Ixodida (0.7%); Insect group 1*: Collembola, Protura, Diplura, Archaeognatha, Zygentoma, and Ephemeroptera (0.9%); Insect group 2*: Phasmida, Plecoptera, Dermaptera, Mantodea, Blattodea, Psocodea, and Thysanoptera (1.2%); Insect group 3*: Strepsiptera, Neuroptera, Raphidioptera, Trichoptera, Siphonaptera, and Mecoptera (1.2%).</p>
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<p>Taxon coverage for 11,796 pre-existing COI (including DNA barcode region) records of Iranian fauna in public DNA repository databases (BOLD and GenBank).</p>
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28 pages, 18261 KiB  
Article
Composite Granitic Plutonism in the Southern Part of the Wadi Hodein Shear Zone, South Eastern Desert, Egypt: Implications for Neoproterozoic Dioritic and Highly Evolved Magma Mingling during Volcanic Arc Assembly
by Khaled M. Abdelfadil, Sherif Mansour, Asran M. Asran, Mohammed H. Younis, David R. Lentz, Abdel-Rahman Fowler, Mohammed S. Fnais, Kamal Abdelrahman and Abdelhady Radwan
Minerals 2024, 14(10), 1002; https://doi.org/10.3390/min14101002 - 1 Oct 2024
Viewed by 676
Abstract
The Abu Farayed Granite (AFG), located in the southeastern desert of Egypt, was intruded during the early to late stages of Pan-African orogeny that prevailed within the Arabian–Nubian Shield. The AFG intrudes an association of gneisses, island arc volcano–sedimentary rocks, and serpentinite masses. [...] Read more.
The Abu Farayed Granite (AFG), located in the southeastern desert of Egypt, was intruded during the early to late stages of Pan-African orogeny that prevailed within the Arabian–Nubian Shield. The AFG intrudes an association of gneisses, island arc volcano–sedimentary rocks, and serpentinite masses. Field observations, supported by remote sensing and geochemical data, reveal a composite granitic intrusion that is differentiated into two magmatic phases. The early granitic phase comprises weakly deformed subduction-related calc–alkaline rocks ranging from diorite to tonalite, while the later encloses undeformed granodiorite and granite. Landsat-8 (OLI) remote sensing data have shown to be highly effective in discriminating among the different varieties of granites present in the area. Furthermore, the data have provided important insights into the structural characteristics of the AFG region. Specifically, the data indicate the presence of major tectonic trends with ENE–WSW and NW–SE directions transecting the AFG area. Geochemically, the AFG generally has a calc–alkaline metaluminous affinity with relatively high values of Cs, Rb, K, Sr, Nd, and Hf but low contents of Nb, Ta, P, and Y. The early magmatic phase has lower alkalis and REEs, while the later phases have higher alkalis and REEs with distinctly negative Eu anomalies. The AFG is structurally controlled, forming a N–S arch, which may be due to the influence of the wadi Hodein major shear zone. The diorite and tonalite are believed to have been originally derived from subduction-related magmatism during regional compression. This began with the dehydration of the descending oceanic crust with differential melting of the metasomatized mantle wedge. Magma ascent was long enough to react with the thickened crust and therefore suffered fractional crystallization and assimilation (AFC) to produce the calc–alkaline diorite–tonalite association. The granodiorite and granites were produced due to partial melting, assimilation, and fractionation of lower crustal rocks (mainly diorite–tonalite of the early stage) after subduction and arc volcanism during a late orogenic relaxation–rebound event associated with uplift transitioning to extension. Full article
(This article belongs to the Section Mineral Geochemistry and Geochronology)
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<p>Landsat image showing (<b>a</b>) the location of the study area in the Egyptian Nubian Shield. (<b>b</b>) Sketch map showing the location of the AFG area and the Najd-fault-related Wadi Kharite–Hodein shear zone, modified after [<a href="#B21-minerals-14-01002" class="html-bibr">21</a>]. 1 = gneisses, 2= ophiolites and intrusive rocks, 3 = Hammamat molasse, 4 = Phanerozoic cover. (<b>c</b>) New detailed geologic map of the Abu Farayed Granite and the region with sample locations.</p>
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<p>Field photographs of (<b>a</b>) an intrusive contact between the ophiolitic mélange (left side with dark color) and the granite pluton (right side); (<b>b</b>) layered amphibolite xenoliths within diorite; (<b>c</b>) high-relief tonalite (top hill) intruded by low-lying granodiorite; (<b>d</b>) tonalite enclosing irregular diorite xenoliths with diffused contacts; (<b>e</b>) prominent vertically jointed granodiorite indicating the structure effects during the emplacement; (<b>f</b>) elongated diorite xenoliths with diffuse borders enclosed within granodiorite; (<b>g</b>) salient spines of granite at the AFG; (<b>h</b>) highly elevated granite plugs with white to pink colors intruding low-land granodiorite that has a grey color.</p>
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<p>Photomicrographs showing various assemblages and textures in transmitted cross-polarized light. (<b>a</b>) Intensely foliated diorite; the mafic constituents are arranged with their longer axes in parallel positions. (<b>b</b>) Bending twinning of plagioclase crystal in diorite. (<b>c</b>) Zoned plagioclase crystal with saussuritized core and fresh rim within tonalite. (<b>d</b>) Prismatic zircon crystal enclosed within plagioclase. (<b>e</b>) Myrmekitic texture in granodiorite. (<b>f</b>) Hypidiomorphic granular texture in granite. (<b>g</b>) Simply twinned orthoclase with herring-bone perthite. (<b>h</b>) Resorption reaction between plagioclase and muscovite. Pl = plagioclase, Hb = hornblende, Or = orthoclase, Qz = quartz, Bt = biotite, Mus = muscovite, Zr = zircon.</p>
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<p>False color composite images showing (<b>a</b>) RGB-753 and (<b>b</b>) RGB-654 band ratio images; (<b>c</b>) (7/5R, 5/4G, 3/1B); (<b>d</b>) (6/2R, 7/6G, 6/5*4/5B). Gr = granite; Srp = serpentinite; Ms = metasediments; Mgb = metagabbro.</p>
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<p>False color composite images showing (<b>a</b>) 3/5R, 3/1G, and 5/7B band ratio images; (<b>b</b>) principal components analysis (PCA) RGB-321; (<b>c</b>) (PCA) RGB-421; (<b>d</b>) (PCA) RGB-721.</p>
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<p>(<b>a</b>) False color composite images (FCCs) used in manual lineament extraction; (<b>b</b>) density map showing the area of high and low lineament frequencies. (<b>c</b>) The rose diagram shows the major trends affecting the AFG intrusion. Note the gathering of fractures at the main part of the AFG shown by the deep red colors. Red colors mean high concentration, while the dark green tone indicates low clusters.</p>
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<p>Modal composition nomenclature of the AFG using a QAP diagram [<a href="#B31-minerals-14-01002" class="html-bibr">31</a>].</p>
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<p>Geochemical diagrams of the AFG show (<b>a</b>) K<sub>2</sub>O versus SiO<sub>2</sub> diagram [<a href="#B32-minerals-14-01002" class="html-bibr">32</a>], (<b>b</b>) ANK versus ACNK plot [<a href="#B33-minerals-14-01002" class="html-bibr">33</a>], (<b>c</b>) (Al<sub>2</sub>O<sub>3</sub> + CaO)/(FeO + Na<sub>2</sub>O + K<sub>2</sub>O) versus 100(MgO + FeO + TiO<sub>2</sub>)/SiO<sub>2</sub> binary plot [<a href="#B34-minerals-14-01002" class="html-bibr">34</a>], and (<b>d</b>) Qz–Ab–Or ternary diagram [<a href="#B35-minerals-14-01002" class="html-bibr">35</a>].</p>
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<p>Primitive mantle-normalized extended trace element patterns [<a href="#B36-minerals-14-01002" class="html-bibr">36</a>] of (<b>a</b>) diorite, (<b>b</b>) tonalite, (<b>c</b>) granodiorite, and (<b>d</b>) granite. Normalizing data are from [<a href="#B36-minerals-14-01002" class="html-bibr">36</a>].</p>
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<p>Chondrite-normalized rare earth elements patterns: (<b>a</b>) diorite, (<b>b</b>) tonalite, (<b>c</b>) granodiorite, and (<b>d</b>) granite. Normalizing values are from [<a href="#B36-minerals-14-01002" class="html-bibr">36</a>].</p>
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<p>Geochemical diagrams showing (<b>a</b>) Nb (ppm) versus Y (ppm), (<b>b</b>) Rb (ppm) versus Y + Nb (ppm) diagrams after [<a href="#B40-minerals-14-01002" class="html-bibr">40</a>], (<b>c</b>) discrimination diagram between igneous (I), sedimentary (S), mantle (M), and an orogenic A-type granite with Zr + Nb + Ce + Y (ppm) against (K<sub>2</sub>O + Na<sub>2</sub>O)/CaO [<a href="#B41-minerals-14-01002" class="html-bibr">41</a>], (<b>d</b>) K<sub>2</sub>O—Na<sub>2</sub>O—CaO ternary plot [<a href="#B4-minerals-14-01002" class="html-bibr">4</a>], (<b>e</b>) Al<sub>2</sub>O<sub>3</sub> versus SiO<sub>2</sub> (wt.%) discrimination diagram [<a href="#B31-minerals-14-01002" class="html-bibr">31</a>], and (<b>f</b>) binary plot of Zr (ppm) versus primitive mantle-normalized Nb/Zr ratio [<a href="#B42-minerals-14-01002" class="html-bibr">42</a>]. Normalizing values are from [<a href="#B36-minerals-14-01002" class="html-bibr">36</a>].</p>
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<p>Binary plots of (<b>a</b>) SiO<sub>2</sub> versus K<sub>2</sub>O on Solomon Island and New Britain (Si-NB), Sierra Nevada, Peru, and the Asir super-suite, Saudi Arabia (ASS), (<b>b</b>) SiO<sub>2</sub> versus A/CNK for mantle- and crustal-type granites [<a href="#B50-minerals-14-01002" class="html-bibr">50</a>], (<b>c</b>) Rb versus K % [<a href="#B50-minerals-14-01002" class="html-bibr">50</a>], and (<b>d</b>) Ba (ppm) versus K % [<a href="#B56-minerals-14-01002" class="html-bibr">56</a>].</p>
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<p>Variation plots of major oxides (wt.%) versus SiO<sub>2</sub> (wt.%), with inferred fractionation vector.</p>
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<p>Variation plots of selected trace elements (ppm) versus SiO<sub>2</sub> (wt.%).</p>
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<p>Plot of the Al<sub>2</sub>O<sub>3</sub>/(MgO + FeO<sub>T</sub>) versus the CaO/(MgO + FeO<sub>T</sub>) [<a href="#B58-minerals-14-01002" class="html-bibr">58</a>]. The compositional fields of the magmas produced through experimental melting of various sources [<a href="#B59-minerals-14-01002" class="html-bibr">59</a>,<a href="#B60-minerals-14-01002" class="html-bibr">60</a>].</p>
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<p>Fractional crystallization and assimilation of magma using the relationship of Rb (ppm) against K/Rb [<a href="#B72-minerals-14-01002" class="html-bibr">72</a>].</p>
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<p>Proposed schematic diagram showing the different stages of AFG emplacement. (<b>a</b>,<b>b</b>) The subduction phase includes the initiation of magmatism at the active continental margin through the storage of magmas from the metasomatized mantle wedge and the formation of older granite at continental volcanic arc setting. (<b>c</b>) The relaxation stage due to the extension. The relaxation stage includes the development of deep-seated fractures, decompression melting, and crust delamination prevailing during the evolution of younger granites at the late evolutionary stages of the AFG. The colored spots within tonalite, granodiorite, and granite indicate mingling processes.</p>
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