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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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發(fā)表于 2025-3-21 16:26:15 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Air Pollution Modeling and its Application XXV
影響因子2023Clemens Mensink,George Kallos
視頻videohttp://file.papertrans.cn/152/151807/151807.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Springer Proceedings in Complexity
圖書封面Titlebook: Air Pollution Modeling and its Application XXV;  Clemens Mensink,George Kallos Conference proceedings 2018 Springer International Publishin
影響因子.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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發(fā)表于 2025-3-21 23:18:21 | 只看該作者
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
板凳
發(fā)表于 2025-3-22 02:38:49 | 只看該作者
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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Kernaufgabe der Fahrzeuggetriebe,surement data for comparisons were taken from several monitoring stations across Finland, and represented different site types i.e. rural and urban background and traffic dominated environments. In general the model overestimated the PM2.5 concentrations in urban locations and underestimated in rura
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發(fā)表于 2025-3-22 13:38:42 | 只看該作者
Gewerbeekzeme und Unfallversicherung,efficients (local method). The propagation of uncertainty in all emissions together is investigated using a Latin hypercube sampling (LHS) global sensitivity analysis. Preliminary results show variability in the uncertainty ranges for different output species and different spatial distribution of th
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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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發(fā)表于 2025-3-22 21:34:53 | 只看該作者
On Regional Modeling to Support Air Quality Policiest 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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發(fā)表于 2025-3-23 02:31:54 | 只看該作者
The Impact of “Brightening” on Surface O3 Concentrations over Europe Between 1990 and 20101990) 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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