Status: this preprint was under review for the journal ACP but the revision was not accepted.
A new approach to estimate pollutant emissions based on trajectory modelling and its application in the North China Plain
W. Y. Xu,C. S. Zhao,P. F. Liu,L. Ran,N. Ma,Z. Z. Deng,W. L. Lin,P. Yan,and X. B. Xu
Abstract. Emission information is crucial for air quality modelling and air quality management. In this study, a new approach based on the understanding of the relationship between emissions and measured pollutant concentrations has been proposed to estimate pollutant emissions and source contributions. The retrieval can be made with single point in-situ measurements combined with backward trajectory analyses. The method takes into consideration the effect of meteorology on pollutant transport when evaluating contributions and is independent of energy statistics, therefore can provide frequent updates on emission information. The spatial coverage can be further improved by using measurements from several sites and combining the derived emission fields. The method was applied to yield the source distributions of black carbon (BC) and CO in the North China Plain (NCP) using in-situ measurements from the HaChi (Haze in China) Campaign and to evaluate contributions from specific areas to local concentrations at the measurement site. Results show that this method can yield a reasonable emission field for the NCP and can directly quantify areal source contributions. Major BC and CO emission source regions are Beijing, the western part of Tianjin and Langfang, Hebei, with Tangshan being an additional important CO emission source area. The source contribution assessment suggests that, aside from local emissions in Wuqing, Tianjin and Hebei S, SW (d < 100 km) are the greatest contributors to measured local concentrations, while emissions from Beijing contribute little during summertime.
Received: 12 Jul 2011 – Discussion started: 24 Nov 2011
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Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
C. S. Zhao
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
P. F. Liu
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
L. Ran
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
N. Ma
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
Z. Z. Deng
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
W. L. Lin
Key Laboratory for Atmospheric Chemistry, Centre for Atmosphere Watch and Services, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing, China
P. Yan
Key Laboratory for Atmospheric Chemistry, Centre for Atmosphere Watch and Services, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing, China
X. B. Xu
Key Laboratory for Atmospheric Chemistry, Centre for Atmosphere Watch and Services, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing, China