Papers by Andre Surepno
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Journal of Geophysical Research, 2008
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A modelling platform for the purposes of air quality policy scenario assessments is being setup a... more A modelling platform for the purposes of air quality policy scenario assessments is being setup and evaluated at Environment Canada. The main modelling system within the platform is the Environment Canada AURAMS (A Unified Regional Air quality Modelling System) which has explicit treatments of gaseous and particulate matter chemistry and physics. Additional components of the platform include the Global Environmental Model (GEM) for meteorology, the Sparse Matrix Operating Kernel Emissions (SMOKE) processing system, and a set of tools and models to diagnose and bridge results for health benefit and environmental impact analyses. In order to capture the seasonality and the distributions of the atmospheric conditions at different regions in Canada, the platform is applied for an annual simulation with a large domain encompassing the North American continent at 45-km grid resolution. The coarse resolution results are then refined with two nested domains for the east and west Canada at 22.5-km grid resolution. To evaluate of the modelling platform, the annual simulation results for 2006 are compared against ambient measurements for ozone and PM2.5. Measurement data are from both routine observational networks in Canada and United States (NAPS, IMPROVE, AQS), as well as non-routine measurement campaigns in 2006, which include vertical ozone profiles at selected locations in the domain. The presentation provides an overview of the current modelling platform setup and configurations, as well as discussions on the preliminary evaluation results from the annual simulations.
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BMC Pulmonary Medicine, 2006
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The Canadian air quality model (GEM-AQ) includes an aerosol physics module which incorporates fiv... more The Canadian air quality model (GEM-AQ) includes an aerosol physics module which incorporates five size- resolved aerosol components and dynamic emission inventories for smoke and dust. A recent 5-year global run permitted a comparison of total optical depths, fine mode fraction (FMF) and SWIR (short wave infrared) Angstrom exponents with AERONET and MODIS retrievals over the Northern hemisphere. This communication will focus (i) on the similarities and differences obtained between measurements and model for both extensive (optical depth) and intensive (FMF and SWIR Angstrom exponent) parameters and (ii) how these comparisons can yield insight into source emission characteristics.
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Journal of Chromatography A, 2010
The present paper describes the development and validation of a new reversed-phase liquid chromat... more The present paper describes the development and validation of a new reversed-phase liquid chromatography–electrospray ionization tandem mass spectrometric method (RP-HPLC–ESI-MS/MS) for simultaneous determination of pyridine, 2-picoline, 4-picoline and quinoline from mainstream cigarette smoke. Liquid–liquid extraction followed by solid-phase extraction was applied to extract the target analytes from cigarette smoke. Baseline chromatographic separation was achieved by utilizing a Zorbax SB-Aq (4.6 × 150 mm, 5 μm) column in gradient chromatographic conditions with acetonitrile and ammonium acetate buffer as mobile phases. Popular commercially available Indian brand filtered and non-filtered cigarettes were analyzed using the same method. The identification of each chemical was established by chromatographic retention times, analyte specific fragmentation patterns and relative peak area ratios of two product/precursor ion pairs. The limit of detection of this method ranged from 1.74 to 14.32 ng/cig using an injection volume of 20 μl. The reproducibility of this method is excellent and better standard deviations were obtained compared to literature reported values for these chemicals. RSD value is less than 9% for all analytes.
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British Journal of Cancer, 2005
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Toxicology Letters, 2004
Areca quid (AQ) chewing and smoking have synergistic potential in the development of oral squamou... more Areca quid (AQ) chewing and smoking have synergistic potential in the development of oral squamous cell carcinoma (OSCC). In Taiwan, fresh Piper betle inflorescence is uniquely added to AQ, and hydroxychavicol (HC) is the major phenolic component of P. betle inflorescence. This study investigated whether HC modulates cigarette carcinogen benzo[a]pyrene (B[a]P)-mediated toxic effects. Pretreatment of HC and followed by B[a]P challenge resulted in higher cytotoxicity and HPRT gene mutation frequency (P < 0.05). However, this treatment protocol resulted in decreased bulky B[a]P-DNA adduct levels as demonstrated by -postlabeling technique (P < 0.05). Western blotting analysis indicated that HC pretreatment induced the expression of cyclooxygenase-2 (COX-2) and dihydrodiol dehydrogenase (DDH). COX-2 is know to participate in the B[a]P-DNA adduct formation, while DDH has been shown to divert B[a]P-diol to B[a]P-7,8-quinone and the generation of reactive oxygen species (ROS). Using flow cytometry, this study demonstrated the increased production of 8-oxoguanine (P < 0.001). Overall, the results suggest that HC-induced DDH is more important than site-by-site up-regulation of COX-2 in B[a]P-induced cytotoxicity and HPRT gene mutation. Furthermore, DDH-mediated oxidative DNA damage and not B[a]P-DNA adduct formation may be involved in the HC and B[a]P-induced toxic effects.
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Lipids, 2006
This work was undertaken to study the impact of the source of n−3 FA on their incorporation in se... more This work was undertaken to study the impact of the source of n−3 FA on their incorporation in serum, on blood lipid composition, and on cellular activation. A clinical trial comprising 71 volunteers, divided into five groups, was performed. Three groups were given 400 g smoked salmon (n=14), cooked salmon (n=15), or cooked cod (n=13) per week for 8 wk. A fourth group was given 15 mL/d of cod liver oil (CLO) (n=15), and a fifth group served as control (n=14) without supplementation. The serum content of EPA and DHA before and after intervention revealed a higher rise in EPA and DHA in the cooked salmon group (129% rise in EPA and 45% rise in DHA) as compared with CLO (106 and 25%, respectively) despite an intake of EPA and DHA in the CLO group of 3.0 g/d compared with 1.2 g/d in the cooked salmon group. No significant changes were observed in blood lipids, fibrinogen, fibrinolysis, or lipopolysaccharide (LPS)-induced tissue factor (TF) activity, tumor necrosis factor-α (TNFα), interleukin-8 (IL-8), leukotriene B4 (LTB4), and thromboxane B2 (TxB2) in whole blood. EPA and DHA were negatively correlated with LPS-induced TNFα, IL-8, LTB4, TxB2, and TF in whole blood. In conclusion, fish consumption is more effective in increasing serum EPA and DHA than supplementing the diet with fish oil. Since the n−3 FA are predominantly in TAG in fish as well as CLO, it is suggested that the larger uptake from fish than CLO is due to differences in physiochemical structure of the lipids.
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Konstantinos Kalpakis, Shiming Yang, and Yaacov Yesha Department of Computer Science and Electric... more Konstantinos Kalpakis, Shiming Yang, and Yaacov Yesha Department of Computer Science and Electrical Engineering University of Maryland Baltimore County 1000 Hilltop Circle, Baltimore, MD, U.S.A. {kalpakis, shiming1, yayeshag}@csee.umbc.edu ABSTRACT We are working on an IBM-funded project seeking to develop a prototype system for real-time plume dispersion and fire and smoke detection and monitoring. Our prototype system utilizes HYSPLIT and observation data from various sources. HYSPLIT is a model developed by NOAA's Air Resources Laboratory for forecasting aerosol trajectories, dispersion, and concentration from emission sources. It is used extensively by NOAA to routinely provide a number of data products. We develop a data assimilation system for assimilating observational data into the forecasting model in order to improve its forecasting accuracy. Our system is based on the Local Ensemble Transform Kalman Filter (LETKF) algorithm and it is computationally efficient. We evaluate our data assimilation system with real in-situ observational data, and find that our system improves upon HYSPLIT's forecast by reducing the normalized mean squared error and the bias. We are also experimenting with assimilating MODIS data with HYSPLIT model forecasts. To this end, we extrapolate ground concentrations from MODIS Aerosol Optical Depth (AOD) data. Our extrapolation approach relies on spatially localized linear regressions of aerosol concentrations from ground stations in the Air Quality System (AQS) network and MODIS AOD data. We expect that assimilating the extrapolated concentrations leads into further improvements of HYSPLIT forecasts. Furthermore, we are investigating using additional sources of in-situ and remotely sensed observations, such as GOES AOD 30-minute data, and UAV data from the Ikhana AMS fire missions. These sources provide higher spatial resolution and more frequent temporal coverage. Moreover, GOES and UAVs provide near-real time data which should be useful in improving HYSPLIT forecasts of smoke from wildfires. Currently, the Ikhana AMS fire missions team provides L1B data which are very useful in themselves, but no level 2 to the best of our knowledge. For our application, it would very useful to have an AOD data product for these datasets. A possible path for deriving AOD data the AMS sensor onboard UAVs would be to utilize the DRL code for deriving the MODIS AOD from MODIS L1B data, due to the sensor similarities. Developing such code would be very useful for wildfire smoke prediction applications. Our near real-time data assimilation system helps in bridging the gap between predictions and real-time observations, for more accurate and timely aerosol dispersion forecasts. Keywords: data assimilation, HYSPLIT, forecast model performance, real-time, ensemble Kalman filter, aerosol dispersion and concentration.
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Conference Presentations by Andre Surepno
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Papers by Andre Surepno
Conference Presentations by Andre Surepno