Estimating dust emission from a sandbank on the downstream Jhuoshuei River under strong wind conditions |
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| Institution: | 1. Instituto de Oceanografía y Cambio Global (IOCAG), Universidad de Las Palmas de Gran Canaria, Edificio Millares Carlo-Campus Obelisco, C/Pérez del Toro 1, 35003 Las Palmas de Gran Canaria, Spain;2. Centre for Coastal and Marine Research, School of Environmental Sciences, University of Ulster, Coleraine, BT52 1SA Northern Ireland, United Kingdom;3. Environmental Hydraulics Institute, IH Cantabria, University of Cantabria, C/Isabel Torres 15, 39011 Santander, Spain;1. Department of Chemistry, National Central University, Taoyuan, Taiwan;2. Atmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY, USA;3. Environmental Simulation CO. LTD, Taipei, Taiwan;4. Department of Environmental Engineering and Science, Fooyin University, Kaohsiung, Taiwan;5. Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan;1. Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;2. Inner Monglia Water Conservancy Science Research Institute, China;1. University of Brescia, Italy;2. Aristotle University Thessaloniki, Greece;3. Umweltbundesamt, Germany;4. Politecnico di Milano, Italy;5. Instytut Badań Systemowych PAN, Poland;6. European Commission, JRC, Institute for Environment and Sustainability, Air and Climate Unit, Italy;7. University of Strasburg, France;8. Institut National de l’EnviRonnement Industriel et des RisqueS, INERIS, France;1. Department of Chemical Engineering, National Taiwan University, Taipei 106, Taiwan;2. Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan;3. State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, Guizhou 550002, China;4. Laboratory of Environmental Pollution and Bioremediation, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China;1. Dept. of Environmental Engineering, National Chung-Hsing University, Taiwan;2. Genomics Research Center, Academia Sinica, Taiwan;3. Institute of Oral Sciences, Chung Shan Medical University, Taiwan;4. Taiwan Cancer Registry and Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taiwan |
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| Abstract: | An empirical emission model based on experimental data was proposed. The total suspended particulates (TSP) emission model obtained by using stepwise multiple-regression analysis was significant (p<0.001); moreover, the relatively high value of R-squared (R2=0.85), which indicated that four parameters included in the model (air temperature, soil silt content, soil moisture content, and wind speed) accounted for the particulate emissions from a sandbank. The results of the multiple-regression analysis demonstrated that the TSP emission factors increased with increase in air temperature, soil silt content and wind speed, but were inversely affected by the soil moisture content. The model equation verified the experimental results and proved itself to be an important tool in predicting the dust emissions from a sandbank under strong wind conditions. |
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