A link between dispersion models and monitoring data: The estimate of source term |
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| Affiliation: | 1. School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, Shanxi 030024, China;2. Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China;1. Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China;2. University of Chinese Academy of Sciences, Beijing, 100049, China;3. School of Environment & Natural Resource, Renmin University of China, Beijing, 100872, China;4. College of Environmental Science and Engineering. Hohai University, Nanjing, 210098, China;1. Yale University School of Medicine, New Haven, Connecticut;2. Departments of Dermatology and Pathology, Yale University School of Medicine, New Haven, Connecticut;3. The Derm Group of Greater New Haven, Orange, Connecticut;1. School of Epidemiology, Public Health and Preventive Medicine, Faculty of Medicine, University of Ottawa, ON K1H 8M5, Canada;2. School of Life Science, Changchun Normal University, Changchun, Jilin 130032, China;3. McLaughlin Center for Population Risk Assessment, University of Ottawa, Ottawa, ON, Canada;4. Interdisciplinary School of Health Sciences, Faculty of Health Sciences, University of Ottawa, ON, Canada;5. Environmental Health Research Unit, Interdisciplinary School of Health Sciences University of Ottawa, 25 University Pvt., Ottawa, ON K1N 6N5, Canada;6. Brain Research Centre, Department of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada;7. Risk Sciences International, Ottawa, ON, Canada;1. Dep. of Civil Eng., Hydraulics Laboratory, Abdullah Gül University, Kayseri, 38080, Turkey;2. Dep. of Civil Eng., Structural Laboratory, Abdullah Gül University, Kayseri, 38080, Turkey;3. Vortechs Engineering & Consultancy, Ankara, Turkey;1. Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013, San Sebastián, Spain;2. Faculty of Psychology of the University of the Basque Country, 20018, San Sebastian, Spain;3. Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029, Madrid, Spain;4. Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014, San Sebastian, Spain;5. Nursing School, Universitat de València, 46010, Valencia, Spain;6. Epidemiology and Environmental Health Joint Research Unit, FISABIO–Universitat Jaume I–Universitat de València, 46020, Valencia, Spain;7. Barcelona Institute for Global Health (ISGlobal), 08003, Barcelona, Spain;8. Municipal Institute of Medical Research, IMIM-Hospital del Mar, 08003, Barcelona, Spain;9. Universitat Pompeu Fabra (UPF), 08002, Barcelona, Spain;10. Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33001, Oviedo, Asturias, Spain;11. Servicio de Pediatría, Endocrinología, HUCA, Roma Avenue, 33001, Oviedo, Asturias, Spain;12. Unit of Molecular Cancer Epidemiology, University Institute of Oncology of the Principality of Asturias (IUOPA), Department of Medicine, University of Oviedo, Julian Clavería Street, 33006, Oviedo, Asturias, Spain;13. Department of Preventive Medicine and Public Health, Faculty of Medicine, University of the Basque Country (UPV/EHU), 48940, Leioa, Spain |
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| Abstract: | An important application of real-time atmospheric dispersion models is the link between model results and field measurements to achieve an estimate of the source term of a continous realease. In this paper a method for the evaluation of the emission rate (STEP: Source Term Estimate Program) is presented. STEP doesn't depend on the dispersion model used and is based on few, simple considerations about the cause of the commonly observed scatter between measured and computed concentration values at fixed sample points. The results of two STEP tests are presented: firstly, it has been validated against a set of tracer data collected during two meteorological and diffusion campaigns; secondly, a sensitivity study with respect to meteorological parameters and to the number of monitoring data available was carried out. |
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