气候变化领域集成服务门户(CCPortal): Characterizing the regional contribution to PM 10 pollution over northern France using two complementary approaches: Chemistry transport and trajectory-based receptor models

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DOI	10.1016/j.atmosres.2019.03.002
	Characterizing the regional contribution to PM 10 pollution over northern France using two complementary approaches: Chemistry transport and trajectory-based receptor models
	Potier E.; Waked A.; Bourin A.; Minvielle F.; Péré J.C.; Perdrix E.; Michoud V.; Riffault V.; Alleman L.Y.; Sauvage S.
发表日期	2019
ISSN	0169-8095
起始页码	1
结束页码	14
卷号	223
英文摘要	Atmospheric pollution is a striking regional issue for public health and ecosystems and has major global impacts on climate. Particulate matter (PM) can be of primary or secondary origin and its sources, both natural and anthropogenic, are very heterogeneous in space and time. Hence, many efforts have been made worldwide to get a better knowledge of PM sources, in order to set effective reduction strategies. To this end, several distinct approaches may be used among which: (i) the localization of potential source areas with trajectory-based statistical receptor models (TRMs) which combine PM concentrations observed at receptor sites with computed back trajectories (BTs) of air masses, and (ii) the estimation of PM source contribution and chemical speciation with deterministic chemistry transport models (CTMs) based on emission inventories and detailed chemistry-transport processes. This study aims at testing the coherence between two independant approaches, CTMs and TRMs, for the geographical localization of the sources impacting a region of study. The case study refers to PM 10 pollution in the Hauts-de-France region (HdF) in the North of France for the year 2010. The considered TRMs are multi-site Concentration Field (CF) and Potential Source Contribution Function (PSCF) applied to 12 receptor sites using the Zefir package. The considered CTM is CHIMERE using detailed EDGAR European emission data. First, TRMs showed that some given far-located European countries (named “Far-East” countries) could have a strong but infrequent impact on PM 10 levels in the study region, while some given nearer European countries (named “Near-East” countries) had a frequent and predominant impact. Then, the contributions of each of these TRM-highlighted regions to PM 10 concentrations over the study area were analyzed by CHIMERE simulations. The potential influence of another non TRM-highlighted region (i.e. the “British Isles”) was also studied for comparison. The CTM results confirmed the prevalence of the Near-East source area in terms of mass contribution throughout the year and particularly during high-concentration periods. Therefore results obtained from CHIMERE CTM and multi-site CF and PSCF TRMs showed consistency, highlighting the interest for further comparison of both CTMs and TRMs independent approaches in other regions as well as for other pollutants. © 2019
英文关键词	CHIMERE; Concentration field; PM 10 sources; PSCF; Receptor model
语种	英语
scopus关键词	Chemical speciation; Trajectories; Atmospheric pollution; Chemistry transport model; CHIMERE; Concentration fields; Potential source contribution function; PSCF; Receptor model; Source contributions; Pollution; atmospheric pollution; comparative study; concentration (composition); emission inventory; particulate matter; pollutant source; pollutant transport; size distribution; speciation (chemistry); France; Hauts-de-France
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162193
作者单位	Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d'Optique Atmosphérique, Lille, F-59000, France; IMT Lille Douai, Univ. Lille, SAGE - Département Sciences de l'Atmosphère et Génie de l'Environnement, Lille, 59000, France; Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, F-91191, France; Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), IPSL, UMR CNRS 7583, Université of Paris Est Créteil (UPEC) and Paris Diderot (UPD), Créteil, France
推荐引用方式 GB/T 7714	Potier E.,Waked A.,Bourin A.,et al. Characterizing the regional contribution to PM 10 pollution over northern France using two complementary approaches: Chemistry transport and trajectory-based receptor models[J],2019,223.
APA	Potier E..,Waked A..,Bourin A..,Minvielle F..,Péré J.C..,...&Sauvage S..(2019).Characterizing the regional contribution to PM 10 pollution over northern France using two complementary approaches: Chemistry transport and trajectory-based receptor models.Atmospheric Research,223.
MLA	Potier E.,et al."Characterizing the regional contribution to PM 10 pollution over northern France using two complementary approaches: Chemistry transport and trajectory-based receptor models".Atmospheric Research 223(2019).