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Titlebook: Air Pollution Modeling and its Application XXV; Clemens Mensink,George Kallos Conference proceedings 2018 Springer International Publishin

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发表于 2025-3-21 16:26:15 | 显示全部楼层 |阅读模式
期刊全称Air Pollution Modeling and its Application XXV
影响因子2023Clemens Mensink,George Kallos
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发行地址Includes supplementary material:
学科分类Springer Proceedings in Complexity
图书封面Titlebook: Air Pollution Modeling and its Application XXV;  Clemens Mensink,George Kallos Conference proceedings 2018 Springer International Publishin
影响因子.Current developments in air pollution modelling are explored as a series of contributions from researchers at the forefront of their field. This newest contribution on air pollution modelling and its application is focused on local, urban, regional and intercontinental modelling; long term modelling and trend analysis; data assimilation and air quality forecasting; model assessment and evaluation; aerosol transformation. 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 35th International Technical Meeting on Air Pollution Modeling and its Application, held in Chania (Crete), Greece, Oct 3-7, 2016..The book is intended as reference material for students and professors interested in air pollution modelling at the graduate level as well as researchers and professionals involved in developing and utilizing air pollution models..
Pindex Conference proceedings 2018
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https://doi.org/10.1007/978-3-642-73189-1t a new method for applying regional ozone air quality models in the regulatory setting. The new method provides the confidence limits for the 4th highest MDA8 ozone value and number of ozone exceedances for a given emission reduction scenario. This information is useful to policy-makers in deciding
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https://doi.org/10.1007/978-3-642-73189-11990) applied only to the calculation of photolysis rates. This isolated the radiative effect of PM on tropospheric O. chemistry from other influences. The PM. adjustment factor is based on a trend analysis of observational data from the literature. In the second scenario, we reduced the SSR by 5% (
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Dynamic Evaluation of Two Decades of CMAQ Simulations over the Continental United States than the earlier years) and the synoptic forcing in accordance with what the observations are showing. We examine methods to identify the strengths of the model in representing the changes in simulated O. air quality over this period that can guide the development of approaches for a more robust an
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