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Source Contributions to PM2.5 under Unfavorable Weather Conditions in Guangzhou City,China

Advances in Atmospheric Sciences 2018年第9期35卷 1145-1159页

作者： Nan WANG Zhenhao LING Xuejiao DENG Tao DENG Xiaopu LYU Tingyuan LI Xiaorong GAO Xi CHEN Institute of Tropical and Marine Meteorology China Meteorological AdministrationGuangzhou 510000China School of Atmospheric Sciences Sun Yat-sen UniversityGuangzhou 510000China Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversiiyHong Kong 999077China Ecological Meteorology Centez Guangdong Provincial Meteorological Bureau Guangzhou 510000China Guangzhou Meteorological Observatory Guangzhou 510000China School of Environmental Science and Engineering Sun Yat-sen UniversiiyGuangzhou 510000China

Historical haze episodes（2013–16） in Guangzhou were examined and classified according to synoptic weather *** types of weather systems were found to be unfavorable, among which ＂foreside of a cold front＂（FC） and ＂sea high pressure＂（SP） were the most frequent（〉 75% of the total）. Targeted case studies were conducted based on an FC-affected event and an SP-affected event with the aim of understanding the characteristics of the contributions of source regions to fine particulate matter（PM（2.5）） in Guangzhou. Four kinds of contributions—namely, emissions outside Guangdong Province（super-region）, emissions from the Pearl River Delta region（PRD region）, emissions from Guangzhou–Foshan–Shenzhen（GFS region）, and emissions from Guangzhou（local）—were investigated using the Weather Research and Forecasting–community multiscale air quality model. The results showed that the source region contribution differed with different weather systems. SP was a stagnant weather condition, and the source region contribution ratio showed that the local region was a major contributor（37%）, while the PRD region, GFS region and the super-region only contributed 8%, 2.8% and 7%, respectively, to PM（2.5） concentrations. By contrast, FC favored regional transport. The super-region became noticeable,contributing 34.8%, while the local region decreased to 12%. A simple method was proposed to quantify the relative impact of meteorology and emissions. Meteorology had a 35% impact, compared with an impact of-18% for emissions, when comparing the FC-affected event with that of the SP. The results from this study can provide guidance to policymakers for the implementation of effective control strategies.

关键词： WRF community multiscale air quality model source contribution unfavorable weather system fine partic-ulate matter

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