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

作　　者：Nan WANG Zhenhao LING Xuejiao DENG Tao DENG Xiaopu LYU Tingyuan LI Xiaorong GAO Xi CHEN 

机构地区：[1]Institute of Tropical and Marine Meteorology,China Meteorological Administration,Guangzhou 510000,China [2]School of Atmospheric Sciences,Sun Yat-sen University,Guangzhou 510000,China [3]Department of Civil and Environmental Engineering,The Hong Kong Polytechnic Universiiy,Hong Kong 999077,China [4]Ecological Meteorology Centez Guangdong Provincial Meteorological Bureau,Guangzhou 510000,China [5]Guangzhou Meteorological Observatory,Guangzhou 510000,China [6]School of Environmental Science and Engineering,Sun Yat-sen Universiiy,Guangzhou 510000,China

出　　处：《Advances in Atmospheric Sciences》2018年第9期1145-1159,共15页大气科学进展（英文版）

基　　金：supported by the National Key R&D Program of China:Task 3(Grant No.2016 YFC0202000);Guangzhou Science and Technology Plan(Grant No.201604020028);National Natural Science Foundation of China(Grant No.41775037 and 41475105);Science and Technology Innovative Research Team Plan of Guangdong Meteorological Bureau(Grant No.201704);Guangdong Natural Science FoundationMajor Research Training Project(2015A030308014);a science and technology study project of Guangdong Meteorological Bureau(Grant No.2015Q03)

摘　　要：Historical haze episodes（2013–16） in Guangzhou were examined and classified according to synoptic weather systems.Four 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.Historical haze episodes（2013–16） in Guangzhou were examined and classified according to synoptic weather systems.Four 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 

分 类 号：X513[环境科学与工程—环境工程]