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2015~2019年日照市PM2.5长期变化特征及其潜在源区分析
引用本文:王中杰,霍娟,杜惠云,王大玮,李杰,张传兵,张涛,王威,王海波,杨文夷.2015~2019年日照市PM2.5长期变化特征及其潜在源区分析[J].中国环境科学,2021,41(9):3969-3980.
作者姓名:王中杰  霍娟  杜惠云  王大玮  李杰  张传兵  张涛  王威  王海波  杨文夷
作者单位:1. 中国科学院大气物理研究所, 大气边界层物理和大气化学国家重点实验室, 北京 100029;2. 中国科学院大气物理研究所, 中国科学院中层大气和全球环境探测重点实验室, 北京 100029;3. 中国科学院大学, 北京 100049;4. 中国科学院区域大气环境研究卓越创新中心, 福建 厦门 361021;5. 山东省日照市生态环境监测中心, 山东 日照 276800;6. 山东省日照市生态环境保护服务中心, 山东 日照 276800;7. 中国环境监测总站, 北京 100012
基金项目:国家自然科学基金项目(91744203);国家重点研发计划(2018YFC0213205)
摘    要:利用2015~2019年山东省日照市PM2.5质量浓度和气象要素的小时数据,对日照市PM2.5季节污染特征和日照市海陆风特征进行了分析,并基于HYSPLIT模式计算了5年逐日02:00、08:00、14:00和20:00(BTC)的48h后向轨迹,不仅通过轨迹聚类分析和潜在源区分析探讨了日照市不同季节PM2.5主要传输路径和其轨迹污染特征及其潜在源区分布和贡献,也分析了海陆风对日照市污染物的影响.结果表明:日照市PM2.5呈现冬季最高、夏季最低的分布特征,监测站点颗粒物浓度在偏西北风影响下较高.日照市不同季节主要输送路径存在差异:春季主要受到偏东和偏北方向气流影响;夏季在副热带高压影响下主要受到来自海上的较为清洁的偏东气流影响;秋季主要受到西北和偏东气流影响;冬季主要受西北和偏北气流影响.整体而言,不同季节受偏西至偏南气流影响时,日照市对应的PM2.5浓度较高.日照市海陆风春秋季多,夏冬季少;在海陆风影响下,日照市PM2.5染和臭氧污染呈现不同的分布特征,且在不同PM2.5污染等级下,PM2.5浓度日变化特征也与其在非海陆风日的日变化有所差异.污染潜在源区分析结果表明,日照市最主要的潜在源区位于山东省临沂市、潍坊市、青岛市和江苏省连云港市.

关 键 词:PM2.5  后向轨迹  聚类分析  传输路径  潜在源区  
收稿时间:2021-01-18

Long term characteristics and potential sources of PM2.5 in Rizhao City from 2015 to 2019
WANG Zhong-jie,HUO Juan,DU Hui-yun,WANG Da-wei,LI Jie,ZHANG Chuan-bing,ZHANG Tao,WANG Wei,WANG Hai-bo,YANG Wen-yi.Long term characteristics and potential sources of PM2.5 in Rizhao City from 2015 to 2019[J].China Environmental Science,2021,41(9):3969-3980.
Authors:WANG Zhong-jie  HUO Juan  DU Hui-yun  WANG Da-wei  LI Jie  ZHANG Chuan-bing  ZHANG Tao  WANG Wei  WANG Hai-bo  YANG Wen-yi
Abstract:Based on the hourly data of PM2.5 concentrations and meteorological elements in Rizhao City during 2015 to 2019, the seasonal characteristics of PM2.5 and its relationship with wind speed and wind direction were analyzed. Also, the characteristics of sea-land in Rizhao City were summarized. Combined with HYSPLIT model and GDAS data, the 48h backward trajectories of PM2.5 concentrations at 02:00, 08:00, 14:00 and 20:00 (BTC) every day in five years were calculated. The main transport pathways and potential source contribution of PM2.5 concentrations in different seasons were discussed by cluster analysis and potential source contribution analysis. The influence of sea-land wind on pollutants in Rizhao City was also analyzed. The results showed that the seasonal characteristics of PM2.5 concentrations in Rizhao City was the highest in winter and the lowest in summer. The particles concentrations of the monitoring station is higher under the influence of northwest wind. There are differences in the main transport routes in different seasons in Rizhao:in spring, it is mainly affected by the easterly and northerly airflow; in summer, it is mainly affected by the cleaner easterly airflow from the sea under the influence of subtropical high system; in autumn, it is mainly affected by the northwest and easterly airflow; in winter, it is mainly affected by the northwest and northerly airflow. On the whole, the PM2.5 concentrations of Rizhao City is higher in different seasons affected by the westerly to southerly airflow. The sea-land wind days are more in spring and autumn,less in summer and winter. Under the influence of sea-land wind, the PM2.5 and ozone pollution in Rizhao City present different distribution characteristics, and under different PM2.5 pollution levels, the daily variation characteristics of PM2.5 concentrations are also different from those in normal days.The results show that the main potential source areas of Rizhao are Linyi City, Weifang City, Qingdao city and Lianyungang City of Jiangsu Province.
Keywords:PM2  5  backward trajectory  cluster analysis  transport pathway  potential source  
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