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17 pages, 14390 KiB  
Article
Scan-to-HBIM-to-VR: An Integrated Approach for the Documentation of an Industrial Archaeology Building
by Maria Alessandra Tini, Anna Forte, Valentina Alena Girelli, Alessandro Lambertini, Domenico Simone Roggio, Gabriele Bitelli and Luca Vittuari
Remote Sens. 2024, 16(15), 2859; https://doi.org/10.3390/rs16152859 - 5 Aug 2024
Viewed by 465
Abstract
In this paper, we propose a comprehensive and optimised workflow for the documentation and the future maintenance and management of a historical building, integrating the state of the art of different techniques, in the challenging context of industrial archaeology. This approach has been [...] Read more.
In this paper, we propose a comprehensive and optimised workflow for the documentation and the future maintenance and management of a historical building, integrating the state of the art of different techniques, in the challenging context of industrial archaeology. This approach has been applied to the hydraulic work of the “Sostegno del Battiferro” in Bologna, Italy, an example of built industrial heritage whose construction began in 1439 and remains in active use nowadays to control the Navile canal water flow rate. The initial step was the definition of a 3D topographic frame, including geodetic measurements, which served as a reference for the complete 3D survey integrating Terrestrial Laser Scanning (TLS), Structured Light Projection scanning, and the photogrammetric processing of Unmanned Aircraft System (UAS) imagery through a Structure from Motion (SfM) approach. The resulting 3D point cloud has supported as-built parametric modelling (Scan-to-BIM) with the consequent extraction of plans and sections. Finally, the Heritage/Historic Building Information Modelling (HBIM) model generated was rendered and tested for a VR-based immersive experience. Building Information Modelling (BIM) and virtual reality (VR) applications were tested as a support for the management of the building, the maintenance of the hydraulic system, and the training of qualified technicians. In addition, considering the historical value of the surveyed building, the methodology was also applied for dissemination purposes. Full article
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<p>The Battiferro lock: view of the main building and upstream canals.</p>
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<p>Workflow of activities for the survey, HBIM and VR implementation for the Battiferro lock.</p>
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<p>Geomatics survey activities: (<b>a</b>) survey area and reference points: the yellow triangles represent the 3D points measured with GNSS-NRTK and total station, the blue circles indicate the elevation landmarks measured with trigonometric levelling; (<b>b</b>) the scan positions of the laser scanner system and distribution of the retro-reflective targets: the white squares indicate the position of the targets, the scan positions are the red triangles with the black border when they were taken below ground level (under the building or in the canals); (<b>c</b>) additional detailed survey of the channel bottom: the circles represent the elevation points measured with total station from the reference points.</p>
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<p>Summary of geomatic tools and techniques used for the survey of the Battiferro Lock.</p>
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<p>Products of the UAS photogrammetric survey: (<b>a</b>) orthomosaic of the surveying area: yellow circles indicate the position of the GCPs; (<b>b</b>) detail of the point cloud of the exterior of the building obtained from the TLS survey coloured in greyscale; (<b>c</b>) detail of the point cloud in real colours of the building obtained from the photogrammetric processing.</p>
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<p>Three-dimensional models of a control wheel: (<b>a</b>) portion of the point cloud derived from TLS, (<b>b</b>) mesh obtained with the Structured Light Projection scanner; (<b>c</b>) BIM object; (<b>d</b>) mesh used in VR.</p>
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<p>Three-dimensional view of the BIM model superimposed to the point cloud model.</p>
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<p>BIM models: (<b>a</b>) 3D view in BIM platform; (<b>b</b>) 3D view of the BIM model imported in a GIS platform.</p>
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<p>Comparison between the tested VR navigation platforms: (<b>a</b>) the technical platform, allowing the user to select elements and visualise the BIM data associated with them; (<b>b</b>) the rendering platform, offering a realistic and impacting virtual representation of the HBIM model.</p>
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<p>Comparison between the tested VR navigation platforms: (<b>a</b>) the technical platform, allowing the user to select elements and visualise the BIM data associated with them; (<b>b</b>) the rendering platform, offering a realistic and impacting virtual representation of the HBIM model.</p>
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34 pages, 8448 KiB  
Article
Digital Virtual Simulation for Cultural Clothing Restoration: Case Study of Tang Dynasty Mural ‘Diplomatic Envoys’ from Crown Prince Zhang Huai’s Tomb
by Chunxiao Liu, RongRong Cui and Zhicheng Wang
J. Theor. Appl. Electron. Commer. Res. 2024, 19(2), 1358-1391; https://doi.org/10.3390/jtaer19020069 - 3 Jun 2024
Viewed by 682
Abstract
The advent of 3D virtual presentation technology for clothing has led to the gradual popularisation of digital virtual clothing in the modern fashion industry. However, there remains a gap between the application of this technology and the integration of cultural attributes in the [...] Read more.
The advent of 3D virtual presentation technology for clothing has led to the gradual popularisation of digital virtual clothing in the modern fashion industry. However, there remains a gap between the application of this technology and the integration of cultural attributes in the field of digital communication of traditional cultural clothing. Consequently, the objective of this paper is to propose the establishment of a fusion system integrating archaeological research on traditional culture with emerging virtual presentation technology. This paper draws inspiration from the replicability and easy dissemination of digital products to combine cultural archaeology and digital technology. The aim is to provide ideas for the diversity of dissemination of cultural heritage. The research object is Diplomatic Envoys, a Chinese mural painting of the Tang Dynasty that depicts friendly exchanges between countries. The research is divided into two research stages. A CLO3D software-based digital restoration test was conducted to reproduce the costumes of officials and foreign envoys depicted in the Tang Dynasty mural. The FAHP model was employed to verify the accuracy of the restoration results. The experiment demonstrated that the digitally reconstructed clothing exhibited a high degree of similarity to the unearthed mural figure clothing object. Furthermore, the restoration result passed the credibility verification, resulting in a ‘credible’ outcome. The application of digital virtual simulation clothing restoration methods offers two key advantages. Firstly, in comparison with traditional clothing restoration methods, digital restoration enables the rapid assessment of the resulting clothing effect, thereby reducing the likelihood of secondary damage to cultural relics due to manual errors. Secondly, the benefits of digital technology facilitate the convenient storage, replication, and dissemination of clothing data information. Data can not only be extended to online exhibition halls but also to game animation, clothing production, and other fields for the purposes of creative redesign and information dissemination. Furthermore, these benefits can penetrate the education industry to disseminate information to the public through all-round display models and explanations. Full article
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<p>Technical roadmap for costume restoration of mural figures in the ‘Diplomatic Envoys’ (drawn by the authors).</p>
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<p>The east wall of the tomb of Crown Prince Zhanghuai.</p>
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<p>The west wall of the tomb of Crown Prince Zhanghuai.</p>
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<p>Costume styles of the mural figures in the ‘<span class="html-italic">Diplomatic Envoys</span>’ (drawn by the authors).</p>
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<p>Khitan hairstyle [<a href="#B71-jtaer-19-00069" class="html-bibr">71</a>].</p>
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<p>Khitan people’s hand-crossing ceremony [<a href="#B71-jtaer-19-00069" class="html-bibr">71</a>].</p>
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<p>The king statue of Qianling in Shaanxi Province.</p>
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<p>‘Tribute-Bearing Envoys Painting Scroll’ depicts envoys from Baekje.</p>
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<p>Figure of characters in red silk helmet ink painting [<a href="#B86-jtaer-19-00069" class="html-bibr">86</a>].</p>
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<p>Mohe male stone figurine unearthed from Tang Tomb on Huanghe Road, Chaoyang City, Liaoning Province [<a href="#B87-jtaer-19-00069" class="html-bibr">87</a>].</p>
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<p>Figurine of a male wearing a hat, housed in the Luoyang Museum [<a href="#B90-jtaer-19-00069" class="html-bibr">90</a>].</p>
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<p>Figurine of a Hu riding a horse, housed in the Luoyang Museum [<a href="#B91-jtaer-19-00069" class="html-bibr">91</a>].</p>
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<p>Figurine of a Hu riding a horse, housed in the Luoyang Museum.</p>
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<p>Tibetan envoy Ludongzan.</p>
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<p>Brocade robe unearthed from the region of Caucasia [<a href="#B93-jtaer-19-00069" class="html-bibr">93</a>].</p>
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<p>Stone statue at Xiaqiao cemetery.</p>
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<p>Stone statue in Sarekuobu.</p>
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<p>Line graph of early Turkic male clothing unearthed from Shoroom Bumbagar tomb.</p>
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<p>Details of proportion measurement of Object C.</p>
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<p>Clothing pattern diagram of characters on east wall of mural painting of the ‘<span class="html-italic">Diplomatic envoys</span>’.</p>
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<p>Clothing pattern diagram of characters on west wall of mural painting of the ‘<span class="html-italic">Diplomatic Envoys</span>’.</p>
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<p>CLO3D restoration information parameters.</p>
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<p>Flow chart of virtual restoration of mural painting clothing.</p>
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<p>Clothing 3D virtual restoration diagram of mural painting of the ‘<span class="html-italic">Diplomatic Envoys</span>’.</p>
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17 pages, 16811 KiB  
Article
Curved Linear Diode Array Imaging of a Historic Anchor Recovered from East Anglia ONE Offshore Wind Farm
by Brandon Mason, James Finch, Sarah Paynter, Heather Anderson and Lauren Nagler
Heritage 2024, 7(5), 2552-2568; https://doi.org/10.3390/heritage7050122 - 16 May 2024
Viewed by 866
Abstract
The Industrial Metrology Business Unit of Nikon Corporation, on behalf of ScottishPower Renewables and Maritime Archaeology (MA), Southampton, UK, has employed X-ray CT (computed tomography) to visualise the internal structure of an anchor found in the North Sea. The non-destructive method of internal [...] Read more.
The Industrial Metrology Business Unit of Nikon Corporation, on behalf of ScottishPower Renewables and Maritime Archaeology (MA), Southampton, UK, has employed X-ray CT (computed tomography) to visualise the internal structure of an anchor found in the North Sea. The non-destructive method of internal inspection and measurement has helped to determine approximately when it was made. The results indicate that the artefact, initially thought to be potentially Roman, is probably more recent, likely dating to between the late 16th and early 17th centuries CE. This paper presents the discovery, recovery, analysis and interpretation of a significant find from a UK offshore wind farm and underscores the valuable role that non-destructive X-ray CT played in the investigation. Full article
(This article belongs to the Special Issue Non-invasive Technologies Applied in Cultural Heritage)
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<p>Anchor WTG_D_154 on the seabed within East Anglia ONE offshore wind farm developed by ScottishPower Renewables.</p>
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<p>Original location of WTG_D_154 within East Anglia ONE offshore wind farm.</p>
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<p>Anchor WTG_D_154, represented as a 3D textured mesh following rapid photogrammetry on deck prior to seabed relocation. Scales are 1 m (vertical) and 2 m (horizontal) in length.</p>
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<p>Anchor WTG_D_154 arrives safely on the deck of <span class="html-italic">Glomar Wave</span> following a recovery operation lasting several hours in June 2021.</p>
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<p>Drawing of the iron anchor excavated at Bulbury Camp by Edward Cunnington, 1881 (Reprinted with permission from Dorset Natural History and Archaeological Society, 1884).</p>
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<p>Anchor WTG_D_154 partially de-concreted during a conservation programme undertaken by Mary Rose Archaeological Services (Image used with permission from Mary Rose Trust, 2022).</p>
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<p>Positioning the anchor on a wooden frame within the Nikon C2 X-ray CT system.</p>
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<p>The usual set up for a circular CT scan, with an X-ray cone beam targeting the flat panel detector comprising the scintillator (green) and the TFT-diode array (blue).</p>
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<p>The usual set up for a CLDA CT scan. The source has been collimated to produce a fan beam, and the detector is collimated to reject any scattered X-rays.</p>
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<p>Cross-sectional view of the shaft from the circular CT scan. The shank sections are approximately 80 mm wide and 90 mm tall.</p>
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<p>Axial slice through the height of the scanned section of shank. A substantial central air channel can be seen. The height of the dataset shown is 170 mm.</p>
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<p>Cross-sectional view of the CLDA scan. The shank sections appear to be constructed of individual units that are joined together. Slices are different distances from the datum height (106.3 cm) on the shaft, from left to right: 7.5, 37.5 and 157.5 mm.</p>
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<p>Detail of the upper face of the surviving arm of WTG_D_154 following disconcertion, indicting the likely presence of a fluke joined above the bend of the segmented final section.</p>
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<p>Two-dimensional profile of the X-ray and detector setup where D is the source to detector distance, and L is the height of the detector that is illuminated. The flat panel detector comprises the scintillator (green) and the TFT-diode array (blue).</p>
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<p>The detector has been moved to twice the distance from the X-ray source.</p>
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<p>The triangles used for calculating the new intensity of the beam.</p>
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18 pages, 604 KiB  
Article
Enhanced Inclusion through Advanced Immersion in Cultural Heritage: A Holistic Framework in Virtual Museology
by Eleftherios Anastasovitis, Georgia Georgiou, Eleni Matinopoulou, Spiros Nikolopoulos, Ioannis Kompatsiaris and Manos Roumeliotis
Electronics 2024, 13(7), 1396; https://doi.org/10.3390/electronics13071396 - 7 Apr 2024
Cited by 3 | Viewed by 2219
Abstract
In recent years, the digitization of cultural heritage has been favored by significant advancements in specific technologies, such as photogrammetry and three-dimensional scanning. The digital representations of artifacts, paintings, books, and collections, as well as buildings or archaeological sites, has led to the [...] Read more.
In recent years, the digitization of cultural heritage has been favored by significant advancements in specific technologies, such as photogrammetry and three-dimensional scanning. The digital representations of artifacts, paintings, books, and collections, as well as buildings or archaeological sites, has led to the transfer of cultural organizations to the digital space. On the other hand, the rapid development of immersive technologies and the Internet of Things is expected to decisively shape virtual cultural heritage in the coming years. However, this digital transition should expand its impact on most of the population. This article aims to cover the lack of structured methodology in the design and development of inclusive virtual spaces in cultural heritage. This research introduces a holistic framework that is mainly based on the disciplines of virtual museology. The proposed methodology takes into account the advancements in extended reality and the creative industry of computer games. The multisensory approach would lead to advanced immersive experiences, while the multilayered approach of cultural heritage content would enhance accessibility in inclusive virtual spaces. Moreover, this holistic framework could provide evidence from the virtual worlds that could be applied to real cultural heritage organizations. Full article
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<p>Conceptual framework of designing inclusive virtual museums.</p>
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<p>Multisensory approach of virtual cultural experiences [<a href="#B62-electronics-13-01396" class="html-bibr">62</a>,<a href="#B63-electronics-13-01396" class="html-bibr">63</a>].</p>
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0 pages, 6772 KiB  
Review
Winds of Change: Urgent Challenges and Emerging Opportunities in Submerged Prehistory, a Perspective from the North Sea
by James Walker, Vincent Gaffney, Rachel Harding, Andrew Iain Fraser, Simon Fitch and Victoria Boothby
Heritage 2024, 7(4), 1947-1968; https://doi.org/10.3390/heritage7040093 - 28 Mar 2024
Cited by 1 | Viewed by 1860 | Correction
Abstract
Development of the continental shelf has accelerated significantly as nations around the world seek to harness offshore renewable energy. Many areas marked for development align with submerged palaeolandscapes. Poorly understood and difficult to protect, these vulnerable, prehistoric landscapes provide specific challenges for heritage [...] Read more.
Development of the continental shelf has accelerated significantly as nations around the world seek to harness offshore renewable energy. Many areas marked for development align with submerged palaeolandscapes. Poorly understood and difficult to protect, these vulnerable, prehistoric landscapes provide specific challenges for heritage management. Indeed, there now appears to be a schism between what underwater cultural heritage policy intends and what it is achieving in practice. Shortcomings in international and national legislature ensures that large parts of the continental shelf, including areas under development, may have little or no legal protection. Increasingly impacted by extensive development, these unique cultural landscapes are ever more at risk. However, heritage challenges posed by such development also create opportunities. An immense amount of data is being generated by development, and there is an opportunity to establish broader cooperative relationships involving industrial stakeholders, national curators, government bodies, and heritage professionals. As a matter of urgency, the archaeological community must better engage with the offshore sector and development process. If achieved, we may revolutionise our knowledge of submerged prehistoric settlement and land use. Otherwise, our capacity to reconstruct prehistoric settlement patterns, learn from past climate change, or simply manage what are among the best-preserved postglacial landscapes globally may be irreparably undermined. Full article
(This article belongs to the Section Archaeological Heritage)
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Graphical abstract

Graphical abstract
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<p>Simplified global sea levels over the last 500 thousand years. Data obtained from <a href="https://sealevels.org/#sources" target="_blank">https://sealevels.org/#sources</a> accessed on 26 February 2024 [<a href="#B3-heritage-07-00093" class="html-bibr">3</a>,<a href="#B4-heritage-07-00093" class="html-bibr">4</a>].</p>
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<p>Distribution of offshore wind farm developments, including planned developments as of August 2023 (yellow circles) set against the approximate extent of marine palaeolandscapes (shown in red). Bathymetry source: GEBCO 2021. Wind farm development information from the 4C Offshore Global Offshore Map [<a href="#B28-heritage-07-00093" class="html-bibr">28</a>].</p>
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<p>“The Goldilocks Zone” showing the three requirements that need to be met for a likelihood of finding prehistoric archaeological remains. (<b>A</b>) shows the Venn diagram of preconditions for locating prehistoric archaeology on the continental shelf, while (<b>B</b>) reveals the hierarchical relationship of the preconditions ranked as prerequisites of one another.</p>
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<p>The ‘jurisdictional gap’ between areas protected by the United Nations Convention on the Law of the Sea (UNCLOS), redrawn from Dromgoole [<a href="#B82-heritage-07-00093" class="html-bibr">82</a>].</p>
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<p>A Map visualisation of states around the world that have ratified the UNESCO Convention on the Protection of the Underwater Cultural Heritage, Paris, 2 November 2001, as of July 2021. Due to scale, not every signatory can be clearly shown. The full list of states include: Albania, Algeria, Antigua and Barbuda, Argentina, Bahrain, Barbados, Belgium, Benin, Bolivia, Bosnia and Herzegovina, Bulgaria, Cabo Verde, Cambodia, Costa Rica, Croatia, Cuba, Democratic Republic of Congo, Ecuador, Egypt, Estonia, France, Gabon, Ghana, Grenada, Guatemala, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iran, Italy, Jamaica, Jordan, Kuwait, Lebanon, Libya, Lithuania, Madagascar, Mali, Malta, Mexico, Micronesia, Montenegro, Morocco, Namibia, Nigeria, Niue, Oman, Palestine, Panama, Paraguay, Poland, Portugal, Romania, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Saudi Arabia, Senegal, Slovakia, Slovenia, South Africa, Spain, Switzerland, Togo, Trinidad and Tobago, Tunisia, and Ukraine [<a href="#B94-heritage-07-00093" class="html-bibr">94</a>].</p>
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<p>Comparison of Asia-Pacific and European growth rates for offshore installations (by megawatts) between 2018 and 2022. An explosion of growth led by China has recently surpassed Europe’s position as the lead market for offshore wind installation. Redrawn with data sourced from GWEC [<a href="#B97-heritage-07-00093" class="html-bibr">97</a>,<a href="#B116-heritage-07-00093" class="html-bibr">116</a>,<a href="#B118-heritage-07-00093" class="html-bibr">118</a>,<a href="#B119-heritage-07-00093" class="html-bibr">119</a>,<a href="#B120-heritage-07-00093" class="html-bibr">120</a>].</p>
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<p>Showing the relative distribution of offshore new wind farm installations in Europe for each year from 2018 to 2022 (in Megawatts) by country. Redrawn with data sourced from GWEC [<a href="#B97-heritage-07-00093" class="html-bibr">97</a>,<a href="#B116-heritage-07-00093" class="html-bibr">116</a>,<a href="#B118-heritage-07-00093" class="html-bibr">118</a>,<a href="#B119-heritage-07-00093" class="html-bibr">119</a>,<a href="#B120-heritage-07-00093" class="html-bibr">120</a>].</p>
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<p>The Southern River estuary, lithic findspots, and potential hammerstone fragment. The 3D lithic scan was provided by Dr. Tom Sparrow (University of Bradford).</p>
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17 pages, 8175 KiB  
Article
Characterization of Tableware from Fábrica de Loiça de Sacavém—Linking Analytical and Documental Research
by Mathilda L. Coutinho, João Pedro Veiga, Andreia Ruivo, Teresa Pereira da Silva, Silvia Bottura-Scardina, Maria Margarida R. A. Lima, Carlos Pereira, Ana Carvalho Dias, Luis Dias, Peter Vandenabeele and José C. Roseiro
Minerals 2024, 14(3), 324; https://doi.org/10.3390/min14030324 - 21 Mar 2024
Viewed by 989
Abstract
Fábrica de Loiça de Sacavém (ca. 1858–1994) was among the first to produce white earthenware in Portugal, becoming one of the country’s leading ceramic manufacturers during the late 19th to early 20th centuries. Research on white earthenware has accompanied the growing interest in [...] Read more.
Fábrica de Loiça de Sacavém (ca. 1858–1994) was among the first to produce white earthenware in Portugal, becoming one of the country’s leading ceramic manufacturers during the late 19th to early 20th centuries. Research on white earthenware has accompanied the growing interest in post-industrial archaeology but is still poorly explored compared to more ancient ceramic productions. This study focused on the ceramic body, glazes, and colourants of tableware produced by Fábrica de Loiça de Sacavém during the first 50 years of its activity (1859–1910). A multi-analytical approach was selected to investigate the chemical and mineralogical composition of the ceramic body, glaze, and pigments using optical microscopy, variable-pressure scanning electron microscope energy-dispersive X-ray spectroscopy (VP-SEM-EDS), μ-Raman spectroscopy, μ-X-ray Diffraction (μ-XRD), and reflectance spectroscopy (hyperspectral image analysis). The studied tableware was produced with a Ca-poor siliceous–aluminous white earthenware ceramic body covered with transparent alkali lead or lead borosilicate glaze, and most colourants were complex Cr-based pigments. These results are in agreement with the little documental evidence from this period found in the manufacturer’s archives. Full article
(This article belongs to the Special Issue The Role of Minerals in Cultural and Geological Heritage, Volume II)
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Figure 1
<p>Examples of the main colours produced by the ceramic manufacturer FLS: blue (SAC1), black (SAC2), green (SAC12), brown (SAC13), lavender (SAC16), and pink (MCS9358).</p>
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<p>Diffractograms of the ceramic bodies of tableware from the Sacavém factory. Quartz—square; Mullite—star; Cristobalite—triangle.</p>
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<p>Backscattering scanning electron microscope (SEM-BSE) images and elemental maps of Al, Si, and K of the ceramic bodies marked with five different stamps from Fábrica de Sacavém. MCS 1, example of MJA; SAC 16, example of FLS; SAC 2, example of RFS; SAC 12, example of RFS; CC_NEC_16, example of RFS; and SAC 1, example of RFS-granite.</p>
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<p>Backscattering scanning electron microscope (FE-SEM) images of the ceramic bodies (identified as quartz, glass, and mullite crystals) and corresponding Si and Al elemental maps of samples MCS1 (<b>a</b>,<b>d</b>), MCS14 (<b>b</b>,<b>e</b>), and MCS9358 (<b>c</b>,<b>f</b>).</p>
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<p>Binary plot of the glaze Pb vs. SiO<sub>2</sub> (wt.%) of the transparent glaze of MJA (dark blue), FLS (black), RFS (green), and G-RFS (red).</p>
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<p>Pages of the manuscript (<span class="html-italic">Pasta nº4, Centro de Documentação Manuel Joaquim Afonso</span>) with (<b>A</b>) transparent glaze recipe and (<b>B</b>) several colours.</p>
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<p>SEM BSE image and spectral features of the inclusions on ceramic SAC12 and glaze SAC1. (<b>a</b>) BSE image of the ceramic–glaze interface of sample SAC12; (<b>b</b>) EDS-spectra of P1 in image (<b>a</b>); (<b>c</b>) Raman spectra of Na-Ca Feldspar (SAC12); (<b>d</b>) BSE image of sample SAC1; (<b>e</b>) EDS-spectra of P2 in image (<b>d</b>); and (<b>f</b>) Raman spectra of apatite (SAC1).</p>
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<p>Cross-sections observed under the optical microscope: (<b>a</b>) SAC12 Green; (<b>b</b>) SAC1 intense blue; (<b>c</b>) SAC16 light blue; (<b>d</b>) SAC13 brown; (<b>e</b>) SAC2 black; and (<b>f</b>) MCS9358 pink.</p>
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<p>SEM BSE image and spectral feature of the green pigment of sample SAC 12. (<b>a</b>) BSE-SEM micrograph; (<b>b</b>) EDS spectra of P1 in (<b>a</b>) Raman spectra of (<b>c</b>) Eskolaite and (<b>d</b>) chromite structure; and (<b>e</b>) absorption spectral features obtained with Kubelka–Munk processing.</p>
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<p>SEM BSE image and spectral features of the glaze and blue pigments of light blue SAC 16 and intense blue CC_NEC_61 samples. (<b>a</b>) BSE-SEM micrograph of SAC 16; (<b>b</b>) a combination of elemental maps of Al (red), Si (blue), and Sn (yellow) of the image (<b>a</b>); (<b>c</b>) a higher magnification of the pigment of the image (<b>a</b>); (<b>d</b>) BSE-SEM micrograph of CC_NEC_61; (<b>e</b>) Co map of the image (<b>d</b>); (<b>f</b>) optical microscope image of CC_NEC_61; (<b>g</b>) EDS spectra of P1 in (<b>c</b>); and (<b>h</b>) EDS spectra of P2 in (<b>c</b>); and Raman spectra of (<b>i</b>) SAC16 and (<b>j</b>) CC_NEC_61.</p>
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<p>SEM BSE image and spectral features of brown sample SAC 13. (<b>a</b>) BSE-SEM micrograph of SAC 13; (<b>b</b>) EDS spectra of P1 in image (<b>a</b>); Elemental maps of image (<b>a</b>) of (<b>c</b>) Cr; (<b>d</b>) Fe; and (<b>e</b>) Zn; (<b>f</b>) Raman spectra of Cr, Fe, and Zn spinel structure.</p>
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<p>SEM BSE image, elemental maps, and spectral features of the black pigment sample SAC 2. (<b>a</b>) BSE-SEM micrograph of SAC 2; (<b>b</b>) Combination of SE image (<b>a</b>) and elemental map of Al (red), Si (blue), Cr (green), and Sn (yellow); elemental maps of image (<b>a</b>) of (<b>c</b>) Cr, (<b>d</b>) Fe and (<b>e</b>) Co; (<b>f</b>) Raman spectra of chromium-rich and (<b>g</b>) tin-rich particles.</p>
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<p>SEM BSE and spectral features of the pink sample MCS9358. (<b>a</b>) BSE-SEM micrograph; (<b>b</b>) Sn elemental map of image (<b>a</b>); (<b>c</b>) absorption spectral features obtained with Kubelka–Munk processing; (<b>d</b>) EDS spectra of P1 (full grey) and P2 (dot) in image (<b>a</b>); (<b>e</b>) Raman spectra of malayaite.</p>
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20 pages, 5788 KiB  
Article
Low Abundant Bacteria Reflect Soil Specificity—Analysis of Bacterial Communities from Archaeological Investigation of Pre-Industrial Saline Ash Deposits of Bad Dürrenberg (Germany)
by Johann Michael Köhler, Linda Ehrhardt, Peter Mike Günther, Manfred Böhme and Jialan Cao
Environments 2024, 11(3), 42; https://doi.org/10.3390/environments11030042 - 23 Feb 2024
Viewed by 1504
Abstract
Six soil samples from three layers of an archaeological investigation profile from a pre-industrial ash deposit place have been investigated by NGS analyses of 16 S rRNA. The three pairs of sample originate from top soil (internal reference), from an intermediate ash layer [...] Read more.
Six soil samples from three layers of an archaeological investigation profile from a pre-industrial ash deposit place have been investigated by NGS analyses of 16 S rRNA. The three pairs of sample originate from top soil (internal reference), from an intermediate ash layer and from a lower ash layer, formed about two centuries ago. In addition to general abundant bacteria, special genera known as halophilic or alkaline-tolerant have been found as expected from the history of the place and from the measured pH-value and conductivity measurements. The close relations between samples of pairs and the differences between the three soil layers are clearly indicated by abundance correlation and PCA-diagrams. Comparative PCA correlation plots including samples from an archaeological excavation site dedicated to pre-industrial coal mining illustrate the high distinguishability of investigated soils. These relations are particular clearly shown when lower abundant bacteria are regarded. The investigations are a further example for the “ecological memory of soil” reflecting the strong human impact on this pre-industrial embossed place. Full article
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<p>Location of sampling places near Bad Dürrenberg and Bennstedt (blue diamonds: places of sampling).</p>
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<p>Profile of the historical ash deposit place near Bad Dürrenberg with labelled sampling sites, (photograph taken by M. Böhme during the archaeological investigation).</p>
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<p>Composition of soil bacterial communities from the archaeological profile of the pre-industrial saline ash deposit of Bad Dürrenberg by most important phyla.</p>
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<p>Double-logarithmic correlation plots for pairs of samples by abundances for single OTUs present in both samples of the related pair. (<b>a</b>–<b>c</b>) Correlations between bacterial communities in the pair samples. (<b>a</b>) Top layer, (<b>b</b>) short-term ash layer, (<b>c</b>) long-term ash layer. (<b>d</b>–<b>f</b>) Examples of sample pairs of different archaeological layers. (<b>d</b>) Comparison between short-term ash layer and top layer, (<b>e</b>) comparison between long-term ash layer and top layer, (<b>f</b>) comparison between long-term and short-term ash layer.</p>
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<p>Percentages of reads of most abundant OTUs in the three layers: (<b>a</b>) top soil; (<b>b</b>) short-term ash, (<b>c</b>) long-term ash.</p>
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<p>Group of OTUs which are preferably or exclusively found in the top soil samples (numbers of reads). (<b>a</b>) OTUs exclusively or nearly exclusively present on sampling point HB60; (<b>b</b>) set of OTUs preferably found on sampling point HB60 (top soil Bad Dürrenberg).</p>
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<p>Abundances of OTUs which are preferably or exclusively found in the samples from the both ash layers: (<b>a</b>) OTUs with less than 10 reads in the top layer samples, (<b>b</b>) OTUs with more than 100 reads in all ash layer samples.</p>
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<p>Group of OTUs which are exclusively (<b>a</b>) or preferably (<b>b</b>) found in the short-term ash layer (numbers of reads).</p>
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<p>Abundances of OTUs which are nearly exclusive (<b>a</b>) or preferably (<b>b</b>) present in the samples from the long-term ash layer (numbers of reads).</p>
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<p>Rank order graphs for all OTUs of the six samples from bad Dürrenberg: (<b>a</b>,<b>b</b>) top soil samples; (<b>c</b>,<b>d</b>) samples of the short-term ash layer; (<b>e</b>,<b>f</b>) samples of the long-term ash layer. (Abundances (=read numbers) in dependence of rank numbers of single OTUs.).</p>
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<p>Diagrams of the correlations between first and second principal component of the comparative Principle Component Analyses of samples from Bad Dürrenberg and samples from Bennstedt [<a href="#B12-environments-11-00042" class="html-bibr">12</a>] for different total abundance classes (sums of abundances in all 12 regarded samples). (<b>a</b>) For OTUs with more than 10,000 reads, (<b>b</b>) for OTUs with 1000–10,000 reads, (<b>c</b>) for OTUs with 100–1000 reads, (<b>d</b>) for OTUs with 10–100 reads.</p>
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<p>Results of abundance class cluster analysis for investigating similarities and differences between sampling points and investigated places: (<b>a</b>) dendrogram for OTUs with more than 10,000 reads in total, (<b>b</b>) dendrogram for OTUs with 1000 to 10,000 reads in total, (<b>c</b>) dendrogram for OTUs with 100 to 1999 reads in total, (<b>d</b>) dendrogram for OTUs with 21 to 50 reads in total, (<b>e</b>) dendrogram for OTUs with10 to 20 reads in total, (<b>f</b>) dendrogram for OTUs with 1 to 9 reads, only.</p>
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18 pages, 11651 KiB  
Article
Creating Mortars through the Alkaline Activation of Ceramic Waste from Construction: Case Studies on Their Applicability and Versatility in Conservation
by Maura Fugazzotto, Paolo Mazzoleni, Antonio Stroscio and Germana Barone
Sustainability 2024, 16(3), 1085; https://doi.org/10.3390/su16031085 - 26 Jan 2024
Cited by 1 | Viewed by 865
Abstract
This paper aimed to investigate the possibility of using alkaline-based binders made from the industrial waste produced by ceramic tiles in the field of conservation and the restoration of monuments and archaeological heritage. Geopolymer mortars, which are environmentally sustainable products obtained by chemical [...] Read more.
This paper aimed to investigate the possibility of using alkaline-based binders made from the industrial waste produced by ceramic tiles in the field of conservation and the restoration of monuments and archaeological heritage. Geopolymer mortars, which are environmentally sustainable products obtained by chemical consolidation at room temperature, are studied for their versatility in applications as reintegration or bedding mortars and pre-cast elements, namely bricks, tiles or missing parts for archaeological pottery, as an alternative to traditional not sustainable products. Starting from a well-established formulation, the function of the product, meaning its technical characteristics and its workability, was optimized by changing the aggregates used, by adding a Ca-rich compound or by changing the liquid/solid ratio with the use of tap water. The possibility of tailoring the finishing of the obtained products was also evaluated. X-ray diffraction analysis showed the influence of adding the additive with the presence of newly formed phases, which positively affect the product’s workability. On the contrary, no important variations were observed with the increase in the water content of the same formulation, opening up the possibility of managing it according to the required fluidity of the final product. Good results were observed, jumping above the laboratory scale and overcoming criticalities linked to the variabilities on site and the higher volume of materials used for industrial processes. The present research also demonstrates that ceramic-based geopolymers are suitable for application in a large variety of cultural heritage projects and with different purposes. Therefore, the paper encourages the use of alkali-activated mortars for green restoration, specifically given the wide range of ceramic materials. Full article
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<p>Areas selected for the geopolymer mortars application tests. Area 1 is indicated in the up-right picture; area 2 is indicated in the bottom-left picture.</p>
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<p>Geopolymer mortar application in area 1.</p>
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<p>Geopolymer mortar applied in area 1—detail at time zero.</p>
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<p>Geopolymer mortar application in area 2: (<b>a</b>) area before the intervention; (<b>b</b>) area after the intervention.</p>
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<p>Monitoring of the two geopolymer mortars exposed on site over time.</p>
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<p>Final general appearance of the waste ceramic based-geopolymer mortars applied on brick masonries: (<b>a</b>) test 1 with LBCa formulation; (<b>b</b>) test 2 with CWF formulation and treated texture.</p>
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<p>Geopolymer tiles realization process at La Bottega Calatina and the final raw product: in reading order mixing, pouring, surface leveling, curing, final products.</p>
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<p>(<b>a</b>) Staircase of Santa Maria del Monte in Caltagirone; (<b>b</b>) geopolymer glazed tiles.</p>
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<p>(<b>a</b>) Bricks during preparation, with the plastic net (<b>top</b>) and consolidated bricks (<b>bottom</b>); (<b>b</b>) brick masonry mock-up.</p>
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<p>Application of LBCa geopolymer mortar on ceramic archaeological remains.</p>
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<p>Application of CWF geopolymer mortar on ceramic archaeological remains.</p>
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<p>Optimization of the LBCa geopolymer mortar and application on modern ceramic.</p>
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<p>Application of the optimized geopolymer mortars on original archaeological support.</p>
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<p>Modern amphora (<b>a</b>) before and (<b>b</b>) after the intervention.</p>
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<p>XRD pattern of LBCa 1/1 + 10MK (in blue), LBCa 1/1 + 10MK + 20P (in red) and LBCa H<sub>2</sub>O (in green). an = anorthite; cal = calcite; di = diopside; gh = gehlenite; hm = hematite; mc = microcline; pss = pirssonite; qtz = quartz; wo = wollastonite; the new phases are indicated with a yellow line.</p>
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<p>XRD pattern of CWF 1/1 + 10MK (in blue), CWF 1/1 + 10MK + 20P (in red) and CWF H<sub>2</sub>O (in green). an = anorthite; cal = calcite; di = diopside; gh = gehlenite; hm = hematite; ill = illite; ms = muscovite; qtz = quartz; the new peaks or increasing peaks are indicated with a yellow line; the peak which decreases in intensity is indicated with a grey line.</p>
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31 pages, 20186 KiB  
Article
The Use of Lime over the Centuries: The Complexity of the Apulian Built Heritage
by Giacomo Eramo, Marina Clausi, Giovanna Fioretti and Daniela Pinto
Minerals 2024, 14(1), 91; https://doi.org/10.3390/min14010091 - 12 Jan 2024
Cited by 1 | Viewed by 1168
Abstract
In the field of historical buildings, the wide use of lime as a binder in various contexts of application emerges from a series of artistic and archaeological evidence in the Apulia (Italy) from the 4th century BCE to the 15th century CE. The [...] Read more.
In the field of historical buildings, the wide use of lime as a binder in various contexts of application emerges from a series of artistic and archaeological evidence in the Apulia (Italy) from the 4th century BCE to the 15th century CE. The large availability of carbonate rocks in the geological substratum from Daunian Subappennines to Salento areas strongly influenced the material culture of the region. In this paper, significant study cases were presented to bring to light the technological complexity, almost completely cancelled by the widespread presence of industrial products, in the use of lime over the centuries. Through examples of use from antiquity to the modern age in Apulia (Egnatia, Lamapopoli, Tertiveri, Siponto, Lucera and Monopoli sites), technological solutions indicating an ecological dimension of production were discussed, bearing witness to technologies on a human scale and sustainability. The comparison of petrographical (POM, SEM-EDS) and mineralogical (XRPD) results indicated the technological trend and custom for lime production in the Apulian region that starts from the choice of the stone to be calcined and the aggregates and passes through the modalities of lime hydration and preparation of the mixture up to the laying. Full article
(This article belongs to the Special Issue Archaeological Mineralogy)
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<p>Simplified geological map of Apulia and positions of the sites discussed in the text [<a href="#B33-minerals-14-00091" class="html-bibr">33</a>], modified after Pieri et al. [<a href="#B23-minerals-14-00091" class="html-bibr">23</a>].</p>
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<p>Flow chart of lime mortar production. In beige are depicted the geomaterials, in water green the transformation processes and in dark red the products. * The use of impure limestones and/or reactive aggregates add hydrate phases to the hardened mortar.</p>
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<p>Classification of lime nodules. The proposed scheme takes into account the possible origin of nodules and their simple (continuous line) or complex (dashed line) path to the hardened mortar.</p>
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<p>Types of lime nodules: (<b>a</b>) underburnt relic of oolitic limestone found in a bedding mortar of Siponto (XP); (<b>b</b>) underburnt relic of siliceous calcarenite identified in a bedding mortar of the tower of Tertiveri (XP); (<b>c</b>) non-reacting relic of overburnt lime (P); (<b>d</b>,<b>e</b>) hydration nodules of lime (XP); (<b>f</b>) mixing nodule (XP).</p>
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<p>Examples of lime nodules analyzed by SEM-EDS (white rectangles) to determine lime composition (<a href="#minerals-14-00091-t003" class="html-table">Table 3</a>): (<b>a</b>) underburnt relics and slaking nodules identified in a bedding mortar of the tower of Tertiveri (BSE image); (<b>b</b>) slaking nodule in a fine textured mortar in the wall belt of Lucera (layered EDS map on BSE image). White squares represent the measured areas with EDS.</p>
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<p>XRPD spectra of mortars composed of air lime and weathered calcarenite (ME29) (<b>a</b>), and littoral sand (ME03) (<b>b</b>) from Egnazia; or natural hydraulic lime (TER11) (<b>c</b>) from Tertiveri. Abbreviations key: Arg = aragonite; CAH = calcium aluminate hydrates; Cal = calcite; CSH = calcium silicate hydrates; Dol = dolomite; Fls = feldspars; Hal = halite; Mg-Cal = Mg-rich calcite; Q = quartz. Calcite’s peaks are related to both aggregate and carbonation products.</p>
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<p>Types of the aggregate identified: (<b>a</b>) fine sand in bedding mortars from Lucera; fragments of coccipopesto (XP); (<b>b</b>) and carbonized fragments and ash of herbaceous vegetation (XP); (<b>c</b>) from the lining plaster of the cistern in Palatium of Lucera (P); pozzolanic reaction rim around the chert clasts (<b>d</b>) and marls (<b>e</b>) in the bedding mortars of the tower of Tertiveri (XP); (<b>f</b>) seriate fragments of <span class="html-italic">terra rossa</span> in the filling mortars of Monopoli’s city walls (P).</p>
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<p>Types of aggregates identified: (<b>a</b>) layered plaster with calcarenite grains (A) and spathic calcite (B) from the thermal baths of Egnazia; (<b>b</b>) littoral sand in bedding mortars from the thermal baths of Egnazia; cocciopesto mixed with alluvial sand in Egnazia (<b>c</b>) and Lamapopoli (<b>d</b>); calcarenite rubbles (<b>e</b>) and very fine sand (<b>f</b>) in plasters from Lamapopoli.</p>
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<p>Types of aggregates identified in Siponto (<a href="#minerals-14-00091-t004" class="html-table">Table 4</a>): (<b>a</b>) very fine clayey sand (Group S); (<b>b</b>) seriate clasts of calcarenite (Group K); (<b>c</b>) combined use of fine sand and calcarenite rubbles (Group SK); (<b>d</b>) cocciopesto (Group CP).</p>
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17 pages, 4870 KiB  
Article
Deepwater 3D Measurements with a Novel Sensor System
by Christian Bräuer-Burchardt, Christoph Munkelt, Michael Bleier, Anja Baumann, Matthias Heinze, Ingo Gebhart, Peter Kühmstedt and Gunther Notni
Appl. Sci. 2024, 14(2), 557; https://doi.org/10.3390/app14020557 - 9 Jan 2024
Viewed by 953
Abstract
A novel 3D sensor system for underwater application is presented, primarily designed to carry out inspections on industrial facilities such as piping systems, offshore wind farm foundations, anchor chains, and other structures at deep depths of up to 1000 m. The 3D sensor [...] Read more.
A novel 3D sensor system for underwater application is presented, primarily designed to carry out inspections on industrial facilities such as piping systems, offshore wind farm foundations, anchor chains, and other structures at deep depths of up to 1000 m. The 3D sensor system enables high-resolution 3D capture at a measuring volume of approximately 1 m3, as well as the simultaneous capture of color data using active stereo scanning with structured lighting, producing highly accurate and detailed 3D images for close-range inspection. Furthermore, the system uses visual inertial odometry to map the seafloor and create a rough 3D overall model of the environment via Simultaneous Localization and Mapping (SLAM). For this reason, the system is also suitable for geological, biological, or archaeological applications in underwater areas. This article describes the overall system and data processing, as well as initial results regarding the measurement accuracy and applicability from tests of the sensor system in a water basin and offshore with a Remotely Operating Vehicle (ROV) in the Baltic Sea. Full article
(This article belongs to the Section Robotics and Automation)
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<p>Scheme of the sensor system with five tubes containing measurement cameras (C<sub>m</sub>), color camera (C<sub>col</sub>), IMU (I), projection unit (P), and electronic control box (E). Additionally, two flashlights (F) are mounted on the carbon fiber rod (R).</p>
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<p>Software architecture.</p>
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<p>Two examples of the graphical user interface of the monitoring software: a scenic view with different lighting and contrast levels, a histogram equalization sketch (<b>above</b>), and a 3D point of view with latency display (<b>below</b>); blue boxes are added for explanation.</p>
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<p>ArUco markerboards for calibration.</p>
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<p>Reference bodies’ ball-bar and cylinder (<b>left</b>), 3D reconstruction result without (<b>middle</b>) and with motion compensation (<b>right</b>).</p>
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<p>UWS mounted on ROV immediately before measurement application (<b>a</b>) and control room for UWS and ROV on the ship (<b>b</b>).</p>
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<p>UWS mounted on ROV (<b>a</b>) and placement of the ArUco markerboards into the water (<b>b</b>).</p>
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<p>Reconstruction result of line of test objects using visual odometry and color mapping.</p>
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<p>Reconstruction results of a pipe section: measurement in the water basin, reconstruction result water basin, pipe for underwater measurement in air (<b>from left to right above</b>), and underwater reconstruction result for offshore measurement (<b>below</b>).</p>
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<p>Photograph (<b>left</b>), 3D reconstruction result obtained via VO (<b>middle</b>) with mapped color information (<b>right</b>) of a clay pot.</p>
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<p>Photograph of three dummy bombs and the 3D reconstruction result of one of the bombs.</p>
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27 pages, 6903 KiB  
Article
Ecological Constraints and Drivers for Human Dispersals and Adaptations in the Late Pleistocene and Early Holocene Environments of the East Siberian Arctic
by Vladimir V. Pitulko and Elena Y. Pavlova
Quaternary 2023, 6(4), 56; https://doi.org/10.3390/quat6040056 - 6 Nov 2023
Viewed by 2156
Abstract
Starting roughly 50,000 years ago, the Arctic region of East Siberia remained continuously populated by groups of anatomically modern humans including the most uncomfortable episodes in the development of the late Quaternary environment; for some of them, human presence in the area became [...] Read more.
Starting roughly 50,000 years ago, the Arctic region of East Siberia remained continuously populated by groups of anatomically modern humans including the most uncomfortable episodes in the development of the late Quaternary environment; for some of them, human presence in the area became ephemeral. At present, archaeological fossil records allow for distinguishing three main stages in human occupation of the area: Early (~50 to ~29 ka, MIS 3), middle (~29 to ~11.7 ka, MIS 2), and late (from 11.7 to ~8 ka). For most of the time, they the populated open landscapes of the Mammoth Steppe, which declined at the onset of the Holocene. Human settlement of the Arctic was driven by various abiotic and biotic factors and thus archaeologically visible cardinal cultural and technological changes correspond to the most important paleoclimatic and habitat changes in the late Pleistocene and early Holocene. Successful peopling of the Arctic was largely facilitated by the adoption of critically important innovations such as sewing technology based on the use of the eyed bone needle and the manufacture of long shafts and pointed implements made of mammoth tusks. Mammoth exploitation is seen in mass accumulations of mammoths formed by hunting. An obvious connection between archaeological materials and such accumulations is observed in the archaeological record. In the lithic technology, the early stage is presented by archaic-looking flake industries. Starting the LGM, the wedge-core based-microblade technology known as the Beringian microblade tradition spread widely following the shrinkage of the mammoth range. At the late stage, starting at the Holocene boundary, microprismatic blade technology occurs. In all stages, the complex social behavior of the ancient Arctic settlers is revealed. The long-distance transport of products, knowledge, and genes occurs due to the introduction of the land transportation system. Initial human settlement of this region is associated with carriers of the West Eurasian genome who became replaced by the population with East Asian ancestry constantly moving North under the pressure of climate change. Full article
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<p>Climatic, paleoenvironmental, and archaeological record of the East Siberian Arctic. (<b>A</b>) Regional stratigraphic scheme of the Yano-Kolyma lowland and its mountain framing, after Stratigraphic Code... [<a href="#B21-quaternary-06-00056" class="html-bibr">21</a>]; (<b>B</b>) NorthGRIP δ18O scale and the sequence of Greenland interstadials (GI1–GI13), according to Svensson et al. [<a href="#B22-quaternary-06-00056" class="html-bibr">22</a>], blue bands mark the approximate position of the Younger Dryas cooling (YD) and Heinrich events (H1–H5) according to Tierney et al. [<a href="#B23-quaternary-06-00056" class="html-bibr">23</a>]; (<b>C</b>) general composition of palynospectra retrieved from Quaternary sediments of Mkh IC section, according to Sher et al. [<a href="#B24-quaternary-06-00056" class="html-bibr">24</a>] and bottom sediment core from Dolgoe Lake, after Pisaric et al. [<a href="#B25-quaternary-06-00056" class="html-bibr">25</a>], Klemm et al. [<a href="#B26-quaternary-06-00056" class="html-bibr">26</a>]; (<b>D</b>–<b>G</b>), after Pavlova and Pitulko [<a href="#B16-quaternary-06-00056" class="html-bibr">16</a>]: (<b>D</b>) biomes; (<b>E</b>) paleoclimatic reconstructions based on paleofloristic analysis: ΔMTWA—deviation of air temperatures of the warmest month (°C), ΔPANN—average annual precipitation (mm/year); (<b>F</b>) total climate change; (<b>G</b>) archaeological record of the East Siberian Arctic; (<b>H</b>) archaeological objects according their calendar age; (<b>I</b>) phases of human dispersal within the area; (<b>J</b>) dated anthropological remains from various regions of Siberia. For (<b>H</b>), dated archaeological sites are indicated: 1—Sopkarga mammoth, 2—the locality of Bunge-Toll-1885, 3—Kyuchus, 4—Upstream Point, Yana complex of sites (YCS), 5—Zyryanka, 6—Irelyakh-Siene, 7—Bolshoy Anyui, 8—New Siberia/West, 9—New Siberia/East, 10—AL044-2005 site, 11—Omoloy, 12—Yana complex of sites (YCS): Northern Point, Yana B area and Yana mammoth “graveyard”/YMAM, 13—Diring-Ayan, 14—Buor-Khaya/Ortho-Stan, 15—Kastykhtakh mammoth, 16—Tabayuryakh mammoth, 17—Lagernyi Point/YCS, 18—Yana A area/YCS, 19—Ilin-Syalakh 034, 20—Wrangel island, 21—Zyryanka 1, 22—Urez-22, 23—Ilin-Syalakh, 24—Achchaghyi-Allaikha, 25—Berelekh geoarchaeological complex; 26—Nikita Lake, 27—Cape Kamennyi, 28—Tytylvaam IV, 29—Naivan, 30—Zhokhov site, 31—Chelkun IV, 32—Tuguttakh, 33—Tagenar VI, 34—Siktyakh I, 35—Rodinka burial, 36—Chertov Ovrag, 37—Burulgino, 38—Rauchuagytgyn I, 39—Pegtymel, 40—Aachim-base, 41—Aachim-lighthouse, 42—Cape Baranov, 43—Pegtymel cave, 44—Shalaurova Izba, after Pavlova and Pitulko ([<a href="#B16-quaternary-06-00056" class="html-bibr">16</a>]: Table 1) (with modifications based on Pitulko et al., 2015 [<a href="#B27-quaternary-06-00056" class="html-bibr">27</a>]), Pitulko and Pavlova 2016 [<a href="#B28-quaternary-06-00056" class="html-bibr">28</a>], Novgorodov et al. [<a href="#B29-quaternary-06-00056" class="html-bibr">29</a>], Cheprasov et al. [<a href="#B30-quaternary-06-00056" class="html-bibr">30</a>,<a href="#B31-quaternary-06-00056" class="html-bibr">31</a>], Pavlov and Suzuki 2020 [<a href="#B32-quaternary-06-00056" class="html-bibr">32</a>], Chlachula et al. [<a href="#B33-quaternary-06-00056" class="html-bibr">33</a>], Kirillova at al. [<a href="#B34-quaternary-06-00056" class="html-bibr">34</a>]; Pitulko et al. [<a href="#B35-quaternary-06-00056" class="html-bibr">35</a>,<a href="#B36-quaternary-06-00056" class="html-bibr">36</a>], Dikov [<a href="#B37-quaternary-06-00056" class="html-bibr">37</a>], Kиpьяк [<a href="#B38-quaternary-06-00056" class="html-bibr">38</a>], Khlobystin [<a href="#B39-quaternary-06-00056" class="html-bibr">39</a>], Gusev [<a href="#B40-quaternary-06-00056" class="html-bibr">40</a>]. Geographic locations of the sites are indicated on the maps organized by time slices.</p>
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<p>Early stage of the human settlement of the arctic East Siberia and MIS 3 paleoenvironments of the area. (<b>A</b>) Locations that yielded evidence of human presence during the early MIS 3 interstadial (57–45.7 ka). Paleoenvironments: dry land extent and land/sea boundary at 49 ka with ocean level decrease to −40 m is based on Pico et al. [<a href="#B50-quaternary-06-00056" class="html-bibr">50</a>]; mountain glaciation margin, after Barr and Clark [<a href="#B51-quaternary-06-00056" class="html-bibr">51</a>], Galanin [<a href="#B52-quaternary-06-00056" class="html-bibr">52</a>]; extent of the mammoth habitat: in NE Asia and in Alaska, after McDonald et al. [<a href="#B53-quaternary-06-00056" class="html-bibr">53</a>]. Dated archaeological sites are indicated: 1—Sopohnaya Karga mammoth, 2—the locality of Bunge-Toll-1885, 3—Kyuchus, 4—Upstream Point, Yana complex of sites (YCS), 5—Zyryanka, 6—Irelyakh-Siene, 7—Bolshoy Anyui. (<b>B</b>) Locations that yielded evidence of human presence during middle and late MIS 3 interstadial (45.7–29 ka). Paleoenvironments: dry land extent and land/sea boundary at 32—31 ka with ocean level decrease to −90 m is based on Pico et al. [<a href="#B50-quaternary-06-00056" class="html-bibr">50</a>]; mountain glaciation margin, after Barr and Clark [<a href="#B51-quaternary-06-00056" class="html-bibr">51</a>], Galanin [<a href="#B52-quaternary-06-00056" class="html-bibr">52</a>]; extent of the mammoth habitat: in NE Asia and in Alaska, after McDonald et al. [<a href="#B53-quaternary-06-00056" class="html-bibr">53</a>], in NE Asia, after Pitulko, Nikolskiy [<a href="#B54-quaternary-06-00056" class="html-bibr">54</a>], in West Siberia, after Kahlke [<a href="#B55-quaternary-06-00056" class="html-bibr">55</a>]. Dated archaeological sites are indicated: 8—New Siberia/West, 9—New Siberia/East, 10—AL044-2005 site, 11—Omoloy, 12—Yana complex of sites (YCS): Northern Point, Yana B area and Yana mammoth “graveyard”/YMAM, 13—Diring-Ayan, 14—Buor-Khaya/Ortho-Stan, 15—Kastykhtakh mammoth, 16—Tabauyriakh mammoth. Archaeological sites of that time in South Siberia: 45—Makarovo IV. Location of the sites and their age estimate is based on Pitulko et al., 2016b [<a href="#B3-quaternary-06-00056" class="html-bibr">3</a>], Pitulko [<a href="#B4-quaternary-06-00056" class="html-bibr">4</a>], Pavlova and Pitulko [<a href="#B16-quaternary-06-00056" class="html-bibr">16</a>], Cheprasov et al., 2015 [<a href="#B30-quaternary-06-00056" class="html-bibr">30</a>], Cheprasov et al., 2018 [<a href="#B31-quaternary-06-00056" class="html-bibr">31</a>], Pavlov, Suzuki 2020 [<a href="#B32-quaternary-06-00056" class="html-bibr">32</a>], Chlachula et al., 2021 [<a href="#B33-quaternary-06-00056" class="html-bibr">33</a>], Kirillova et al., 2012 [<a href="#B34-quaternary-06-00056" class="html-bibr">34</a>], Novgorodov et al., 2014 [<a href="#B29-quaternary-06-00056" class="html-bibr">29</a>], Pitulko et al., 2015 [<a href="#B27-quaternary-06-00056" class="html-bibr">27</a>], Pitulko et al., 2015 [<a href="#B56-quaternary-06-00056" class="html-bibr">56</a>], Pitulko et al., 2017 [<a href="#B57-quaternary-06-00056" class="html-bibr">57</a>], Goebel and Aksenov 1995 [<a href="#B58-quaternary-06-00056" class="html-bibr">58</a>], Derevianko 1998 [<a href="#B59-quaternary-06-00056" class="html-bibr">59</a>], Goebel et al., 2000 [<a href="#B60-quaternary-06-00056" class="html-bibr">60</a>], Rybin and Khatsenovich [<a href="#B61-quaternary-06-00056" class="html-bibr">61</a>]. Note numbers provided for archaeological sites are the same as shown in <a href="#quaternary-06-00056-f001" class="html-fig">Figure 1</a>H.</p>
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<p>Middle stage of the human settlement in the arctic East Siberia and MIS 2 paleoenvironments. (<b>A</b>) Archaeological localities of the extreme cold phase of MIS 2 stadial (MIS 2 pessimum, 29–15.5 ka). Paleoenvironments: dry land extent and land/sea boundary at 27 ka with ocean level decrease to −120 m is based on Pico et al. [<a href="#B50-quaternary-06-00056" class="html-bibr">50</a>]; Eurasian Ice Sheet Complex at 27 ka and 22 ka, after Hughes et al. [<a href="#B67-quaternary-06-00056" class="html-bibr">67</a>] mountain glaciation margin, after Barr and Clark [<a href="#B51-quaternary-06-00056" class="html-bibr">51</a>], Galanin [<a href="#B52-quaternary-06-00056" class="html-bibr">52</a>], Glushkova [<a href="#B104-quaternary-06-00056" class="html-bibr">104</a>]; extent of the mammoth habitat: in NE Asia, after Pitulko, Nikolskiy [<a href="#B54-quaternary-06-00056" class="html-bibr">54</a>], in West Siberia, after Kahlke [<a href="#B55-quaternary-06-00056" class="html-bibr">55</a>], in Alaska, after McDonald et al. [<a href="#B53-quaternary-06-00056" class="html-bibr">53</a>]. Dated archaeological sites of the East Siberian Arctic are indicated: 13—Diring-Ayan, 17—Lagernyi Point/YCS, 18—Yana A area/YCS, 19—Ilin-Syalakh 034, 20—Wrangel island, 21—Zyryanka 1, after Pavlova and Pitulko [<a href="#B16-quaternary-06-00056" class="html-bibr">16</a>], Cheprasov et al., 2018 [<a href="#B31-quaternary-06-00056" class="html-bibr">31</a>]; Pitulko et al., 2016a [<a href="#B36-quaternary-06-00056" class="html-bibr">36</a>]; Pitulko et al., 2015 [<a href="#B27-quaternary-06-00056" class="html-bibr">27</a>]; Pitulko et al., 2017 [<a href="#B57-quaternary-06-00056" class="html-bibr">57</a>]. Archaeological site of that time in South Siberia: 46—Khaiyrgas Cave, 47—Malta [<a href="#B102-quaternary-06-00056" class="html-bibr">102</a>]. Site location and age estimate provided based on Kuzmin et al., 2017 [<a href="#B105-quaternary-06-00056" class="html-bibr">105</a>], Derevianko et al., 2003 [<a href="#B106-quaternary-06-00056" class="html-bibr">106</a>], Raghavan et al., 2014 [<a href="#B107-quaternary-06-00056" class="html-bibr">107</a>], Sitlivy et al., 1997 [<a href="#B108-quaternary-06-00056" class="html-bibr">108</a>]. (<b>B</b>) Archaeological locations belonging to the late glacial stage of MIS 2 (15.5–11.7 ka). Paleoenvironments: dry land extent and land/sea boundary at 14–13.5 ka with ocean level decrease to −70 m is based on Pico et al. [<a href="#B50-quaternary-06-00056" class="html-bibr">50</a>]; extent of the mammoth habitat: in NE Asia, after Pitulko, Nikolskiy [<a href="#B54-quaternary-06-00056" class="html-bibr">54</a>], in West Siberia, after Kahlke [<a href="#B55-quaternary-06-00056" class="html-bibr">55</a>], in Alaska, after McDonald et al. [<a href="#B53-quaternary-06-00056" class="html-bibr">53</a>]. Dated archaeological sites are indicated: 22—Urez-22, 23—Ilin-Syalakh, 24—Achchaghyi-Allaikha, 25—Berelekh geoarchaeological complex; 26—Nikita Lake, 27—Cape Kamennyi, after Pavlova and Pitulko [<a href="#B16-quaternary-06-00056" class="html-bibr">16</a>], Pitulko et al., 2016a [<a href="#B36-quaternary-06-00056" class="html-bibr">36</a>], Pitulko et al., 2017 [<a href="#B57-quaternary-06-00056" class="html-bibr">57</a>]. Archaeological sites in South Siberia confined to the same time span: 48—Dyuktai Cave, 49—Bolshoy Iakor, 50—Ushki site; 51—Ezhantsy; 52—Kheta. Site location and age estimate for them is based on Mochanov 1977 [<a href="#B109-quaternary-06-00056" class="html-bibr">109</a>]; Ineshin and Tetenkin 2017 [<a href="#B110-quaternary-06-00056" class="html-bibr">110</a>], Dikov 1979 [<a href="#B111-quaternary-06-00056" class="html-bibr">111</a>], Slobodin 1999 [<a href="#B112-quaternary-06-00056" class="html-bibr">112</a>] Note geographic pattern in which northern group of sites with a single microblade site (Urez-22) are located within the range of the local population of woolly mammoths, while in the archaeological contexts of the southern group outside the range of mammoths, narrow-front wedge-shaped core technology is confidently presented.</p>
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<p>Late stage of the human settlement in the arctic East Siberia and paleoenvironments of MIS 1: (<b>A</b>) The Early Holocene archaeological sites (11.7–8.2 ka). Paleoenvironments: dry land extent and land/sea boundary at 9 ka with ocean level decrease to −30 m is based on Pico et al. [<a href="#B50-quaternary-06-00056" class="html-bibr">50</a>], Bauch et al. [<a href="#B119-quaternary-06-00056" class="html-bibr">119</a>]; extent of the mammoth habitat on Wrangel Island, after Vartanyan et al. [<a href="#B145-quaternary-06-00056" class="html-bibr">145</a>]; northern limit for tree vegetation based on dated remains of Betula trees and Larix trees at 9 ka, after Kremenetski, et al. [<a href="#B146-quaternary-06-00056" class="html-bibr">146</a>], Binney, et al. [<a href="#B147-quaternary-06-00056" class="html-bibr">147</a>,<a href="#B148-quaternary-06-00056" class="html-bibr">148</a>]. Dated archaeological sites of the East Siberian Arctic are indicated: 28—Tytylvaam IV, 29—Naivan, 30—Zhokhov site, 31—Chelkun IV, after Pavlova and Pitulko [<a href="#B16-quaternary-06-00056" class="html-bibr">16</a>], Kiryak et al., 2003 [<a href="#B38-quaternary-06-00056" class="html-bibr">38</a>], Dikov 1993 [<a href="#B37-quaternary-06-00056" class="html-bibr">37</a>], Gusev 2002 [<a href="#B40-quaternary-06-00056" class="html-bibr">40</a>], Pitulko 1999 [<a href="#B149-quaternary-06-00056" class="html-bibr">149</a>]; Pitulko, Pavlova 2016 [<a href="#B28-quaternary-06-00056" class="html-bibr">28</a>]. Archaeological site of that time in South Siberia: 53—Ust-Timpton; 54—Uptar I. Site location and their age estimate are provided based on Mochanov 1977 [<a href="#B109-quaternary-06-00056" class="html-bibr">109</a>], Slobodin 1999 [<a href="#B112-quaternary-06-00056" class="html-bibr">112</a>]. Objects are shown to estimate the time of the occurrence of microprismatic blade technology in the region. (<b>B</b>) Archaeological objects of Middle-Late MIS 1 (after 8.2 ka), dated archaeological sites are indicated: 32—Tuguttakh, 33—Tagenar VI, 34—Siktyakh I, 35—Rodinka burial, 36—Chertov Ovrag, 37—Burulgino, 38—Rauchuagytgyn I, 39—Pegtymel, 40—Aachim-base, 41—Aachim-lighthouse, 42—Cape Baranov, 43—Pegtymel cave, 44—Shalaurova Izba, after Pitulko and Pavlova 2016 [<a href="#B28-quaternary-06-00056" class="html-bibr">28</a>]; Pavlova and Pitulko 2020 [<a href="#B16-quaternary-06-00056" class="html-bibr">16</a>], Khlobystin 1998 [<a href="#B39-quaternary-06-00056" class="html-bibr">39</a>], Mochanov 1977 [<a href="#B109-quaternary-06-00056" class="html-bibr">109</a>].</p>
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<p>Demographic modeling for Siberian and North American ancient native population: Identified patterns, the time of event (in thousand years ago), and assessment of connection of various genetic lineages (in percent) (after Sikora et al., 2019 [<a href="#B62-quaternary-06-00056" class="html-bibr">62</a>]).</p>
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28 pages, 10561 KiB  
Article
A Study of the Accuracy of a 3D Indoor Camera for Industrial Archaeology Applications
by Roman Shults, Eugene Levin, Zhanar Aukazhiyeva, Karel Pavelka, Nataliia Kulichenko, Naiman Kalabaev, Maral Sagyndyk and Nagima Akhmetova
Heritage 2023, 6(9), 6240-6267; https://doi.org/10.3390/heritage6090327 - 6 Sep 2023
Cited by 2 | Viewed by 1558
Abstract
The paper aims to study the geometrical quality and opportunities of the state-of-the-art 3D camera Matterport Pro and examine its potential for industrial archaeology applications. The presented study consisted of two steps. In the first step, the geometrical quality of the camera-generated point [...] Read more.
The paper aims to study the geometrical quality and opportunities of the state-of-the-art 3D camera Matterport Pro and examine its potential for industrial archaeology applications. The presented study consisted of two steps. In the first step, the geometrical quality of the camera-generated point cloud was investigated on the calibration test field. The geometrical quality was checked in two ways: (1) with distance comparison between reference targets and (2) with point cloud comparison. The coordinates of the reference targets were determined using a high-precision total station, while the FARO Scanner generated the reference point cloud. The study established that Matterport Pro has a scale systematic error that must be accounted for in 3D modeling and the inventory of archaeological objects. In the second step, the geometrical quality of the camera was checked for the actual archaeological object. As such an object, the historical copper-shaft Quincy Mine in Michigan State Upper Peninsula was considered. The specific subject of the study was one of the largest hoist engines in the world. The Matterport Pro camera scanned the indoor environment of the hoist engine house. The accuracy of the 3D model of the hoist engine was checked using additional linear measurements on-site. It was found that the accuracy of 1% showed that the camera specification can be improved through calibration. As an output of the second step, the accurately refined 3D model of the hoist engine’s interior was built. That model was embedded into a 3D model of the hoist engine’s house for usage in virtual tours of the Quincy Mine Museum. Finally, a virtual tour was created of the Quincy Mine house with exterior and interior models referenced to the geographical frame. Full article
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Figure 1
<p>Coordinating reference targets using the total station.</p>
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<p>Test field scanning by FARO Scanner.</p>
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<p>Point cloud of the test field with control targets retrieved from FARO Scanner data.</p>
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<p>Test field surveying by the Matterport Pro camera.</p>
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<p>Three-dimensional model of the test field after processing by the Matterport server.</p>
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<p>Horizontal plan of the test field after processing by the Matterport server.</p>
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<p>ICP orientation workflow: (<b>a</b>) two point clouds; (<b>b</b>) discrepancies determination; (<b>c</b>) first transformation; (<b>d</b>) nth transformation iteration.</p>
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<p>The location of the Quincy Mine at the Upper Peninsula Michigan.</p>
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<p>Archive map of the Quincy Mine, 1906; the scope of the study is in a boxed area (the image courtesy Michigan Technological University J. Robert Van Pelt and John and Ruanne Opie Library Archive).</p>
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<p>General view of the Quincy Mine, 1882–1920, with the Hoist Engine house leftward (archive image) [<a href="#B47-heritage-06-00327" class="html-bibr">47</a>].</p>
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<p>Cross-section of the Quincy Mine Hoist Engine house, 1921 (archive image) [<a href="#B47-heritage-06-00327" class="html-bibr">47</a>].</p>
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<p>Current view of the Quincy Mine Hoist Engine house.</p>
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<p>The model of the shaft inside the Quincy Mine Hoist Engine house.</p>
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<p>The Quincy Mine Hoist Engine view.</p>
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<p>Distances deviations: Total station vs. Matterport.</p>
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<p>Distances deviations: Total station vs. FARO Scanner.</p>
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<p>Distances deviations: FARO Scanner vs. Matterport.</p>
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<p>Histogram of deviations: Total station vs. Matterport.</p>
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<p>Histogram of deviations: Total station vs. FARO scanner.</p>
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<p>Histogram of deviations: FARO scanner vs. Matterport.</p>
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<p>Results of the linear approximation.</p>
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<p>Distance deviations after linear trend correction.</p>
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<p>Colored 3D point cloud after C2C comparison; distance units are meters. Color-scale units are meters.</p>
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<p>Colored 3D point cloud after blunder exclusion; distance units are meters. Color-scale units are meters.</p>
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<p>C2C distance deviations after the systematic error correction; distance units are meters. Color-scale units are meters.</p>
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<p>Vector plot of transformation errors in the horizontal plane.</p>
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<p>Vector plot of transformation errors in 3D space.</p>
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<p>Flowchart of outdoor and indoor surveying of the Hoist Engine house.</p>
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<p>Flowchart of outdoor and indoor surveying of the Hoist Engine house.</p>
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<p>Three-dimensional model of the Hoist Engine house.</p>
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<p>One of the Matterport Pro surveying stations inside the Hoist Engine house.</p>
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<p>Panoramic images of the Hoist Engine: (<b>a</b>) from the ground; (<b>b</b>) from the platform.</p>
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<p>The whole data set obtained by Matterport Pro with places of the camera set up.</p>
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<p>The view screenshot from the platform surrounding the hoist engine.</p>
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<p>The ladder height measurement option in the Matterport software menu.</p>
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<p>The measurements of the Hoist Engine concrete foundations in the Matterport software menu.</p>
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<p>The map of the Quincy Mine Hoist Engine house (dimensions are in feet) [<a href="#B47-heritage-06-00327" class="html-bibr">47</a>].</p>
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<p>Distance measurements according to the map of the Quincy Mine Hoist Engine house.</p>
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21 pages, 7077 KiB  
Review
Monitoring Atmospheric Atomic Mercury by Optical Techniques
by Sune Svanberg
Atmosphere 2023, 14(7), 1124; https://doi.org/10.3390/atmos14071124 - 7 Jul 2023
Cited by 1 | Viewed by 1243
Abstract
Mercury is a serious neurotoxic agent, and the control and monitoring of emissions are important. Optical spectroscopy is a powerful technique for measurement of mercury, which in the atmosphere predominantly appears in atomic form. The mercury resonance line close to 254 nm can [...] Read more.
Mercury is a serious neurotoxic agent, and the control and monitoring of emissions are important. Optical spectroscopy is a powerful technique for measurement of mercury, which in the atmosphere predominantly appears in atomic form. The mercury resonance line close to 254 nm can be utilized in long-path absorption measurements of average concentrations or in light detection and ranging (lidar) studies, where range-resolved concentration values can be obtained. In addition, point monitors often use optical detection, frequently after pre-concentration, as well as for mercury compounds in conjunction with denuders, which transfer the compounds into atomic mercury. The present review discusses mercury measurement methods with respect to merits and sensitivity to interference. The main focus is on remote-sensing techniques, and many examples from industrial and mining monitoring are given. Further, mercury emissions related to the extraction of geothermal energy are discussed. Finally, an example from archaeology—the Qin tomb in Xi’an—is presented. Advanced measurement techniques can help in shaping an environment largely free from mercury contamination. Further, the aspect of mercury being an important geophysical tracer gas can also be exploited. Full article
(This article belongs to the Section Air Quality)
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Figure 1
<p>Sum-frequency mixing of the outputs from a blue and a red diode laser to generate radiation to explore the details of the 254 nm mercury line. Absorption spectra for natural mercury and isotopically separated samples in evacuated cells are shown (a–d), as well as the ambient air pressure- broadened resulting line shape ([<a href="#B34-atmosphere-14-01124" class="html-bibr">34</a>], reproduced with permission from AIP).</p>
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<p>Spectroscopic recording (x symbols) of ambient air in the range interval 80 to 400 m using the DIAL technique, showing the interference of atmospheric oxygen on mercury. Signal contributions from different isotopes of mercury are indicated. At the top of the Figure, the absorption spectrum from a mercury cell at atmospheric pressure is shown ([<a href="#B37-atmosphere-14-01124" class="html-bibr">37</a>], reproduced with permission from Springer).</p>
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<p>Average concentration values over certain path lengths as evaluated by DIAL. The final path, ending at a hillside used as a topographic target producing a distinct lidar echo, is indicated at the lower part of the Figure. Values in square boxes are from point monitors ([<a href="#B62-atmosphere-14-01124" class="html-bibr">62</a>], reproduced with permission from the American Geophysical Union).</p>
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<p>Schematic representation of the differential absorption lidar (DIAL) technique. (<b>a</b>) Measurement scenario with two industrial plumes containing a pollutant gas, which emerge into a uniform atmosphere of backscattering particles. (<b>b</b>) Corresponding lidar backscattering curves recorded for on- and off-resonance wavelengths for the gas under study. (<b>c</b>) Ratio (DIAL) curve for on- and off-resonance recordings. Gas plumes manifest themselves as pronounced reduction in the ratio value. Note that if the atmosphere contained localized clouds of particles, the excess signal would still not show up in the DIAL curve (see Equation (4)). (<b>d</b>) Evaluated range-resolved gas concentration curve obtained by applying Equation (1) over chosen range-integration intervals ([<a href="#B63-atmosphere-14-01124" class="html-bibr">63</a>], reproduced with permission from OPTICA).</p>
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<p>Comparison between mercury concentration values evaluated from lidar data from a range interval, where a Zeeman correlation spectrometer (<a href="#sec2dot3dot3-atmosphere-14-01124" class="html-sec">Section 2.3.3</a>) was placed next to the laser beam ([<a href="#B66-atmosphere-14-01124" class="html-bibr">66</a>], reproduced with permission from Elsevier).</p>
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<p>(<b>a</b>,<b>b</b>) Versatile mobile remote-sensing system with mercury measurement capability. The system operates with a frequency-doubled tunable dye laser, which is pumped by a 20 Hz Nd/YAG laser. Laser emission and optical backscattering receiver operate coaxially, ensuring convenient scanning of the interrogation direction via the roof-top beam-folding mirror. When not deployed in the field, the system can be docked to a fixed laboratory (<b>c</b>) ([<a href="#B69-atmosphere-14-01124" class="html-bibr">69</a>], reproduced with permission from OPTICA).</p>
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<p>Atomic mercury concentrations along a 36 km long highway traverse across the city of Guangzhou, China. Measurements were performed with a Zeeman correlation monitor (<a href="#sec2dot3dot3-atmosphere-14-01124" class="html-sec">Section 2.3.3</a>) operated from a taxi with the gas-extraction hose protruding from a window. During rush-hour traffic, the mercury levels are significantly increased and reflect local traffic flow situation. ([<a href="#B74-atmosphere-14-01124" class="html-bibr">74</a>], reproduced under the CC BY License, MPDI).</p>
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<p>Atomic mercury concentrations in different departments of a major Chinese hospital (<b>a</b>,<b>b</b>). A Zeeman correlation instrument was hand-carried through departments during a 95-minute walk. Note the scale multiplication factor in (<b>a</b>), where maximum values close to 1400 ng/m<sup>3</sup> were recorded ([<a href="#B74-atmosphere-14-01124" class="html-bibr">74</a>], reproduced under the CC BY license, MPDI).</p>
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<p>Cross-section through the atomic mercury plume downwind from the chlor-alkali plant at Rosignano Solvay, Italy. Local concentrations values are shown color coded, and the horizontally and vertically integrated loads are also indicated. Integration in both directions and multiplication with the perpendicular wind-speed component yields a total flux of 74 g/h ([<a href="#B80-atmosphere-14-01124" class="html-bibr">80</a>], reproduced with permission of Elsevier).</p>
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<p>Comparison of the total mercury flux out from three European chlor-alkali plants—summer and winter. If the flux is normalized on the amount of useful chemicals produced, the small plant at Tarnow is actually found to be the least environmentally friendly ([<a href="#B80-atmosphere-14-01124" class="html-bibr">80</a>], reproduced with permission from Elsevier).</p>
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<p>Overview of monitoring of gas of geophysical origin using optical techniques ([<a href="#B84-atmosphere-14-01124" class="html-bibr">84</a>,<a href="#B85-atmosphere-14-01124" class="html-bibr">85</a>], reproduced with permission from Springer and Plenum).</p>
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<p>Atomic mercury monitoring using the DIAL technique around a cooling tower at the large geothermal power plant at Larderello, Italy. Values in white boxes are from point monitors ([<a href="#B62-atmosphere-14-01124" class="html-bibr">62</a>], reproduced with permission from the American Geophysical Union).</p>
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<p>Photo of the Eolean islands Stromboli and Panarea (north of Sicily, Italy). To the right, a photograph of the echo-sounder screen of the research vessel <span class="html-italic">N/O Urania</span> is shown, capturing multiple sea-floor fumaroles off the island of Panarea, as indicated by the red arrow.</p>
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<p>Lidar recordings for on- and off-resonance wavelengths during DIAL measurements at the Abbadia San Salvatore mercury mine (Italy). The path-integrated concentrations of atomic mercury are given, showing the strong variation related to hotspots and wind direction ([<a href="#B92-atmosphere-14-01124" class="html-bibr">92</a>], reproduced with permission from Elsevier).</p>
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<p>Atmospheric mercury distribution in a vertical scan in the Wanshan abandoned mercury mining district, China. The mobile lidar system, constructed by the South China Normal University lidar group, is also shown ([<a href="#B66-atmosphere-14-01124" class="html-bibr">66</a>], reproduced with permission from Elsevier).</p>
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<p>Overview of a lidar monitoring campaign at the tomb mound of the emperor Qin Shi Huang, in Xi’an, China. At the top of the figure the measurement scenario is shown. (<b>a</b>,<b>b</b>) display lidar returns for different amplification, while (<b>c</b>) is a DIAL ratio curve, illustrating the localized presence of mercury, as further displayed in (<b>d</b>). Volatile mercury seems to escape from the compound at a rate which was estimated to be 5 × 10<sup>−8</sup> kg/s. ([<a href="#B98-atmosphere-14-01124" class="html-bibr">98</a>], reproduced under the CC BY License, Springer).</p>
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37 pages, 4827 KiB  
Review
UAV Implementations in Urban Planning and Related Sectors of Rapidly Developing Nations: A Review and Future Perspectives for Malaysia
by Aisyah Marliza Muhmad Kamarulzaman, Wan Shafrina Wan Mohd Jaafar, Mohd Nizam Mohd Said, Siti Nor Maizah Saad and Midhun Mohan
Remote Sens. 2023, 15(11), 2845; https://doi.org/10.3390/rs15112845 - 30 May 2023
Cited by 9 | Viewed by 6368
Abstract
The rapid growth of urban populations and the need for sustainable urban planning and development has made Unmanned Aerial Vehicles (UAVs) a valuable tool for data collection, mapping, and monitoring. This article reviews the applications of UAV technology in sustainable urban development, particularly [...] Read more.
The rapid growth of urban populations and the need for sustainable urban planning and development has made Unmanned Aerial Vehicles (UAVs) a valuable tool for data collection, mapping, and monitoring. This article reviews the applications of UAV technology in sustainable urban development, particularly in Malaysia. It explores the potential of UAVs to transform infrastructure projects and enhance urban systems, underscoring the importance of advanced applications in Southeast Asia and developing nations worldwide. Following the PRISMA 2020 statement, this article adopts a systematic review process and identifies 98 relevant studies out of 591 records, specifically examining the use of UAVs in urban planning. The emergence of the UAV-as-a-service sector has led to specialized companies offering UAV operations for site inspections, 3D modeling of structures and terrain, boundary assessment, area estimation, master plan formulation, green space analysis, environmental monitoring, and archaeological monument mapping. UAVs have proven to be versatile tools with applications across multiple fields, including precision agriculture, forestry, construction, surveying, disaster response, security, and education. They offer advantages such as high-resolution imagery, accessibility, and operational safety. Varying policies and regulations concerning UAV usage across countries present challenges for commercial and research UAVs. In Malaysia, UAVs have become essential in addressing challenges associated with urbanization, including traffic congestion, urban sprawl, pollution, and inadequate social facilities. However, several obstacles need to be overcome before UAVs can be effectively deployed, including regulatory barriers, limited flight time and range, restricted awareness, lack of skilled personnel, and concerns regarding security and privacy. Successful implementation requires coordination among public bodies, industry stakeholders, and the public. Future research in Malaysia should prioritize 3D modeling and building identification, using the results of this study to propel advancements in other ASEAN countries. Full article
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Graphical abstract

Graphical abstract
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<p>Identification of databases and new registers.</p>
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<p>A high-quality image of (<b>a</b>) quadcopter/multi-rotor and (<b>b</b>) fixed-wing UAVs.</p>
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<p>Overview of UAV components.</p>
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<p>Type of imagery (<b>a</b>) 2D aerial imagery acquired via UAV; (<b>b</b>) 3D model built from UAV imagery.</p>
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<p>Pictures showing UAVs being used for (<b>a</b>) delivery/first aid; (<b>b</b>) construction purposes.</p>
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<p>Mobile app displaying UAV-flying zones.</p>
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<p>High-resolution picture showing site inspection using UAVs.</p>
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<p>Percentage of Urban Population in the year 2015 and 2020. Source: [<a href="#B146-remotesensing-15-02845" class="html-bibr">146</a>]).</p>
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<p>UAV-based environmental protection work carried out in Malaysia: (<b>a</b>) water pollution detection, (<b>b</b>) landslide monitoring, and (<b>c</b>) landscape change analysis. Source: [<a href="#B147-remotesensing-15-02845" class="html-bibr">147</a>,<a href="#B161-remotesensing-15-02845" class="html-bibr">161</a>,<a href="#B162-remotesensing-15-02845" class="html-bibr">162</a>].</p>
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<p>(<b>A1</b>–<b>A2</b>) 3D point clouds and 3D models; (<b>B1</b>–<b>B4</b>) heritage monument location in map, point cloud/imagery, 3D models, and top view.</p>
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<p>Construction building in Sri Manjung Specialist Centre, Perak: (<b>a</b>) image from the top of the building during the first flight on 23 September 2016, (<b>b</b>) image from the top of the building during the third flight on 25 November 2016, (<b>c</b>) images from the first side of the building, and (<b>d</b>) image from the second side of the building. Source: [<a href="#B165-remotesensing-15-02845" class="html-bibr">165</a>].</p>
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<p>The trend for the percentage types of home renovation: 1. back yard, 2. front yard, and 3. side yard.</p>
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22 pages, 9787 KiB  
Article
Multi-Analytical Techniques to Define the Mineralogical and Petrophysical Characteristics and Provenance of Siliceous Lithic Findings: The Case Study of La Calvera Rock Shelter (Cantabria, Spain)
by Stefano Columbu, Dario Fancello, Gianni Gallello, Mirco Ramacciotti and Agustin Diez-Castillo
Minerals 2023, 13(5), 666; https://doi.org/10.3390/min13050666 - 12 May 2023
Cited by 2 | Viewed by 2125
Abstract
This archaeometric study aims at characterizing the archaeological finds belonging to the lithic industry from La Calvera rock shelter (Camaleño, Cantabria) and at hypothesizing the possible provenance of each material. The site, located in the mountainous area of Picos de Europa National Park [...] Read more.
This archaeometric study aims at characterizing the archaeological finds belonging to the lithic industry from La Calvera rock shelter (Camaleño, Cantabria) and at hypothesizing the possible provenance of each material. The site, located in the mountainous area of Picos de Europa National Park (more than 1000 m a.s.l.) close to the megalithic complex of Peña Oviedo, is characterized by the presence of hearths and charcoal remains, ancient pottery, and a rich lithic assemblage composed of siliceous rocks dating back to >8000 BP and linked to the first Holocene occupations of the Cantabrian Mountains. For the study of the rock shelter’s lithic assemblage, a multi-analytical approach was used: SEM-EDS and XRD analyses were performed to define the microtextural characteristics of samples and to identify the amorphous/crystalline phases; physical and mechanical tests were conducted to define the petrophysical properties (density, porosity, imbibition and saturation indexes, mechanical strength) of the samples. Preliminary data of chemical compositions, obtained by portable XRF, are also presented. The results show that the different siliceous materials (quartzite, cherts, hyaline quartz) can be distinguished through the basic analytical techniques used here. In addition, most of the archaeological samples have mineralogical and petrographic features similar to the natural samples coming from nearby outcrops, corroborating the hypothesis of a local material supply. The presence of local sources of useful raw materials could have favoured the site’s occupation. Finally, the diverse compositional and textural feature of the analysed materials result in different mechanical properties (porosity, density, hardness, workability), so they likely had different uses and technical functions. Full article
(This article belongs to the Section Mineral Geochemistry and Geochronology)
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Figure 1
<p>Geological map of the Peña de Oviedo sector (west territory of Camaleño village) at scale 1:50.000 from Sheet 81—Potes modified, Instituto Geològico y Minero de España web site at link: <a href="http://info.igme.es/cartografiadigital/geologica/Magna50Hoja.aspx?language=es&amp;id=81" target="_blank">http://info.igme.es/cartografiadigital/geologica/Magna50Hoja.aspx?language=es&amp;id=81</a> (accessed on 15 March 2023). The inlets show the position of the study area in Spain (red rectangle) and a sketch map of the tectonic units in which the area is subdivided. The numbers of the formations are taken from the original map (sheet 81—Potes); those in bold indicate the formation hosting cherts and/or quartzites.</p>
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<p>Main representative samples of cherts, rock crystals and chunk raw materials analysed from La Calvera rock shelter: (<b>a</b>) grey chert of AR12.1 sample; (<b>b</b>) grey chert of AR18.2 sample; (<b>c</b>) grey-ochre chert of AR21; (<b>d</b>) raw material chunk of RM3.4 sample; (<b>e</b>) yellow chert of AR37 sample; (<b>f</b>,<b>g</b>) quartzite of AR29 and AR34 samples; (<b>h</b>,<b>i</b>) Domeño cherts of AN5.1 and AN1.2 samples (from Andilla, Valencia); (<b>l</b>) rock-crystal of AR10 sample. Red line is 1 cm.</p>
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<p>BSE images representative of analysed samples: (<b>a</b>) AR12.1 (grey chert) at low magnification, showing an apparent compact texture with cracks, holes (sometimes filled by phyllosilicates) and bright spots of zircon and metal oxides; (<b>b</b>) millimetres-long trail of Fe and Ti oxides within the quartz matrix (AN5.1,Grey-beige chert from Domeño); (<b>c</b>) AR37 (yellow chert) at moderate magnification that shows the rough surface covered by small crystals and plagues of light-grey phyllosilicates; (<b>d</b>) quartz matrix of AR29 (dark quartzite) hosting a REE-phosphate grain and Ti oxide; (<b>e</b>) compact and homogeneous surface of AR10 (rock crystal) samples with dark-grey stains due to carbon (organic?) impurities; (<b>f</b>) phyllosilicate in quartz matrix (AR34).</p>
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<p>BSE images representative of analysed samples: (<b>a</b>) corroded crystal of Ti-oxide and zircon in AR18.2 (grey chert); (<b>b</b>) Fe-oxide encrustation on the surface of the sample RM3.4 (grey chert); (<b>c</b>) framboidal pyrite on a calcite crystal at high magnification (AN1.2, blackish chert, Domeño); (<b>d</b>) negative crystal shape on the AN5.1 (grey-beige chert, Domeño) surface, formerly hosting calcite, whose remains are still preserved; (<b>e</b>) negative crystal shape of calcite, now totally removed; (<b>f</b>) NaCl patinas with particular snowflake-like habitus on the AR10 (rock crystal) surface.</p>
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<p>XRD patterns of the selected samples of cherts (AR12.1, AR18.2, AR21, AR29, AR34, AR37), rock crystal (AR10), raw material (RM03.4) and geological samples (AN1.2, AN5.1). Abbreviations followed by question marks corresponds to phases for which a clear assignment was not possible (see text).</p>
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<p>Positive correlation between the matrix crystallinity determined by comparing of the background signals of each sample with the background of a reference known crystallinity of the AR10 crystal rock and the grain size means determined by SEM analysis (see <a href="#minerals-13-00666-t003" class="html-table">Table 3</a>).</p>
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<p>Petrophysical and mechanical properties of archaeological and geological samples: (<b>a</b>) real density vs. bulk density; (<b>b</b>) real density vs. matrix crystallinity; (<b>c</b>) open helium porosity vs. bulk density; (<b>d</b>) helium open porosity vs. phase size mean; (<b>e</b>) helium open porosity vs. water open porosity; (<b>f</b>) open helium porosity vs. PLT punching strength index.</p>
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<p>Petrophysical and mechanical properties of archaeological and geological samples: (<b>a</b>) phase size mean vs. PLT punching strength index; (<b>b</b>) matrix crystallinity vs. PLT punching strength index.</p>
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<p>Mean (•) and standard deviation (♦) of the elemental concentrations for the six classes of samples (DC: Domeño chert; GCC: grey chert chunks; GCF: grey chert fragments; OC: other cherts; QZ: quartzite; RC: rock crystal).</p>
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