Editors:
- Presenting latest research results from top researchers in the field
- Providing a perfect balance between applied and theoretical results
- Covering worldwide developments?
Part of the book series: Springer Proceedings in Complexity (SPCOM)
Conference series link(s): ITM: International Technical Meeting on Air Pollution Modelling and its Application
Conference proceedings info: ITM 2018.
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Table of contents (77 papers)
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Front Matter
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Regional and Intercontinental Modeling
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Front Matter
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About this book
Current developments in air pollution modeling are explored as a series of contributions from researchers at the forefront of their field. This newest contribution on air pollution modeling and its application is focused on local, urban, regional and intercontinental modeling; emission modeling and processing; data assimilation and air quality forecasting; model assessment and evaluation; atmospheric aerosols. Additionally, this work also examines the relationship between air quality and human health and the effects of climate change on air quality.
This work is a collection of selected papers presented at the 36th International Technical Meeting on Air Pollution Modeling and its Application, held in Ottawa, Canada, May 14-18, 2018.
The book is intended as reference material for students and professors interested in air pollution modeling at the graduate level as well as researchers and professionals involved in developing and utilizing air pollution models.
Editors and Affiliations
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VITO NV, Mol, Belgium
Clemens Mensink
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Environment and Climate Change Canada, Science and Technology Branch, Toronto, Canada
Wanmin Gong
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Department of Civil and Environmental Engineering, Carleton University, Ottawa, Canada
Amir Hakami
About the editors
Wanmin Gong is a research scientist at the Atmospheric Science and Technology Directorate, Science and Technology Branch, Environment and Climate Change Canada, located in Toronto, Ontario. He received his B.Sc. from the Nanjing Institute of Meteorology, P. R. China, and his Ph.D. from the University of Reading, U.K. His main research area is in regional air quality modelling, including model development and evaluation, with a focus on cloud processing and interaction with atmospheric tracers. For this purpose he used an on-line, fully coupled, air quality forecast model to investigate the impact of cloud-aerosol interaction on weather and air quality. More recently, his research activities are focused on the development of air quality modeling capability for the Arctic and Canada’s northern region and the investigation, in conjunction with field observations, the sources and processes affectingthe Arctic atmospheric composition and their impact on the Arctic environment and climate.
Amir Hakami is an Associate Professor in the Department of Civil and Environmental Engineering at Carleton University in Ottawa, Canada. He joined Carleton University after receiving his Ph.D. from Georgia Institute of Technology in 2003 and completing postdoctoral work at Caltech in 2007. His expertise is in the general area of air quality modeling, with specialization in development and applications of air pollution sensitivity
analysis tools and models. Dr. Hakami’s current research foci include air pollution health effects estimation, air pollution economics, decision support systems, uncertainty analysis, inverse modeling, satellite remote sensing of air quality, and long-range transport of pollution. During the last 18 years, Dr. Hakami has made significant contributions to development of sensitivity analysis and probing tools for air quality models in general, and for the USEPA’s CMAQ model in particular. He is the lead researcher for implementing adjoint sensitivity analysis method in CMAQ and has previously developed the high-order direct decoupled method (HDDM) for sensitivity analysis which was later implemented in CMAQ and CAMx.
Bibliographic Information
Book Title: Air Pollution Modeling and its Application XXVI
Editors: Clemens Mensink, Wanmin Gong, Amir Hakami
Series Title: Springer Proceedings in Complexity
DOI: https://doi.org/10.1007/978-3-030-22055-6
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-22054-9Published: 24 November 2019
Softcover ISBN: 978-3-030-22057-0Published: 24 November 2020
eBook ISBN: 978-3-030-22055-6Published: 23 November 2019
Series ISSN: 2213-8684
Series E-ISSN: 2213-8692
Edition Number: 1
Number of Pages: XLVII, 490
Number of Illustrations: 15 b/w illustrations, 162 illustrations in colour
Topics: Atmospheric Protection/Air Quality Control/Air Pollution, Monitoring/Environmental Analysis, Atmospheric Sciences, Public Health, Data-driven Science, Modeling and Theory Building