DOI: 10.1016/j.atmosenv.2014.09.016
Scopus记录号: 2-s2.0-84907077717
论文题名: Indicators to support the dynamic evaluation of air quality models
作者: Thunis P ; , Clappier A
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 98 起始页码: 402
结束页码: 409
语种: 英语
英文关键词: Air quality modeling
; Dynamic evaluation
; Performance indicators
Scopus关键词: Air quality modeling
; Air quality models
; Dynamic evaluation
; Performance indicators
; air quality
; atmospheric chemistry
; emission control
; numerical model
; performance assessment
; pollutant
; air analysis
; air pollution indicator
; air quality
; Article
; atmospheric dispersion
; controlled study
; feasibility study
; measurement
; methodology
; molecular dynamics
; policy
; screening
; statistical model
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Air quality models are useful tools for the assessment and forecast of pollutant concentrations in the atmosphere. Most of the evaluation process relies on the "operational phase" or in other words the comparison of model results with available measurements which provides insight on the model capability to reproduce measured concentrations for a given application. But one of the key advantages of air quality models lies in their ability to assess the impact of precursor emission reductions on air quality levels. Models are then used in a dynamic mode (i.e. response to a change in a given model input data) for which evaluation of the model performances becomes a challenge. The objective of this work is to propose common indicators and diagrams to facilitate the understanding of model responses to emission changes when models are to be used for policy support. These indicators are shown to be useful to retrieve information on the magnitude of the locally produced impacts of emission reductions on concentrations with respect to the "external to the domain" contribution but also to identify, distinguish and quantify impacts arising from different factors (different precursors). In addition information about the robustness of the model results is provided. As such these indicators might reveal useful as first screening methodology to identify the feasibility of a given action as well as to prioritize the factors on which to act for an increased efficiency. Finally all indicators are made dimensionless to facilitate the comparison of results obtained with different models, different resolutions, or on different geographical areas. © 2014 The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80550
Appears in Collections: 气候变化事实与影响
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作者单位: European Commission, JRC, Institute for Environment and Sustainability, Air and Climate Unit, Via E. Fermi 2749, Ispra, VA, Italy; Universite´ de Strasbourg, Laboratoire Image Ville Environnement, 3, Rue de l'Argonne, Strasbourg, France
Recommended Citation:
Thunis P,, Clappier A. Indicators to support the dynamic evaluation of air quality models[J]. Atmospheric Environment,2014-01-01,98