Impact of air quality model settings for the evaluation of emission reduction strategies to curb air pollution

被引:1
|
作者
Bessagnet, Bertrand [1 ]
Bossioli, Elissavet [2 ]
Cholakian, Arineh [3 ]
Vivanco, Marta Garcia [4 ]
Cuvelier, Kees
Theobald, Mark R. [4 ]
Gil, Victoria
Menut, Laurent [3 ]
de Meij, Alexander [5 ]
Pisoni, Enrico [1 ]
Thunis, Philippe [1 ]
机构
[1] European Commiss, Joint Res Ctr, Via Enr Fermi 2749, I-21027 Ispra, Varese, Italy
[2] Natl & Kapodistrian Univ Athens, Dept Phys, Sect Environm Phys & Meteorol, Athens, Greece
[3] UPMC Univ Paris 06, IPSL Res Univ, Univ Paris Saclay, Sorbonne Univ, F-91128 Palaiseau, France
[4] CIEMAT, Dept Environm, Atmospher Modelling Unit, Avda Complutense 40, Madrid 28040, Spain
[5] METCLIM, Varese, Italy
关键词
Modeling; Emission reduction; Chemistry; Resolution; Air quality; Meteorology; DYNAMIC EVALUATION; ONLINE CHEMISTRY; TRANSPORT; METEOROLOGY; POLLUTANTS; MECHANISM; EUROPE; CLOUD;
D O I
10.1016/j.envres.2024.119112
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
For air quality management, while numerical tools are mainly evaluated to assess their performances on absolute concentrations, this study assesses the impact of their settings on the robustness of model responses to emission reduction strategies for the main criteria pollutants. The effect of the spatial resolution and chemistry schemes is investigated. We show that whereas the spatial resolution is not a crucial setting (except for NO 2 ), the chemistry scheme has more impact, particularly when assessing hourly values of the absolute potential of concentrations. The analysis of model responses under the various configurations triggered an analysis of the impact of using online models, like WRF-chem or WRF-CHIMERE, which accounts for the impact of aerosol concentrations on meteorology. This study informs the air quality modeling community on what extent some model settings can affect the expected model responses to emission changes. We suggest to not activate online effects when analyzing the effect of an emission reduction strategy to avoid any confusion in the interpretation of results even if an online simulation should represent better the reality.
引用
收藏
页数:15
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