2019年秋冬季京津冀与周边地区污染传输特征分析  

Pollution transport characteristics of Beijing-Tianjin-Hebei region and its surrounding areas in January 2019

作　　者：白伟超 王晓琦[1] 程水源[1] 张智答 齐鹏 关攀博 陈颢元 BAI Wei-chao;WANG Xiao-qi;CHENG Shui-yuan;ZHANG Zhi-da;QI Peng;GUAN Pan-bo;CHEN Hao-yuan(Key Laboratory of Beijing on Regional Air Pollution Control,Department of Environment and Life Sciences,Beijing University of Technology,Beijing 100124,China;The 714 Research Institute of CSIC,Beijing 100101,China;State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC),Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China)

机构地区：[1]北京工业大学环境与生命学部,区域大气复合污染防治北京市重点实验室,北京100124 [2]中国船舶重工集团有限公司第七一四研究所,北京100101 [3]中国科学院大气物理研究所,大气边界层物理与大气化学国家重点实验室,北京100029

出　　处：《中国环境科学》2022年第9期4086-4099,共14页China Environmental Science

基　　金：国家重点研发计划(2018YFC0213200);中国博士后科学基金面上资助(2019M660382);北京市博士后研究基金资助。

摘　　要：本研究结合大气环境观测数据,应用潜在源分析法(PSCF)和浓度权重轨迹分析法(CWT),以及基于WRF-CMAQ模式的传输矩阵和传输通量计算方法,研究分析了2019年秋冬季京津冀典型城市的大气污染特征与成因,量化评估了京津冀地区与周边省份之间的PM_(2.5)传输贡献.结果表明,京津冀地区冬季较秋季污染严重,且重污染时段PM_(2.5)浓度均与相对湿度呈显著的正相关,和风速呈显著的负相关;京津冀典型城市北京、天津和石家庄的潜在源区主要分布在京津冀本地、山西、内蒙古中部地区和山东地区,这与CWT结果基本吻合.京津冀各省域的PM_(2.5)以本地排放贡献为主,北京、天津和河北的本地贡献率范围为54.33%~66.01%,京津冀受区域外传输的贡献率范围为0.11%~26.54%.传输通量结果表明,冬季PM_(2.5)的传输主要受高空西北气流的作用,尤其清洁天气,高风速驱动清洁气团流入;秋季则主要受低空东南气流作用;传输通量呈现出显著的垂直分布特征,高空区域传输作用更为活跃,传输通量的流入/流出以及垂直分布与污染级别和RH呈现非线性响应关系,主导风向变化导致重污染前的传输效应明显大于重污染期间,高湿环境的传输效应明显小于低湿环境.In this study,combined with atmospheric environment observation data,potential source analysis(PSCF)and concentration weight trajectory analysis(CWT),as well as transport matrix and transport flux calculation methods based on WRF-CMAQ model,were used to analyze the characteristics and causes of air pollution in typical cities in Beijing-Tianjin-Hebei in autumn and winter of 2019,and to quantitatively evaluate the characteristics and causes of air pollution in the Beijing-Tianjin-Hebei region and surrounding provinces between PM_(2.5)transmission contribution.The results show that the Beijing-Tianjin-Hebei region is more polluted in winter than in autumn,and PM_(2.5)concentration has a significant positive correlation with relative humidity and a significant negative correlation with wind speed during heavy pollution periods.The potential source regions of Typical Beijing-Tianjin-Hebei cities Beijing,Tianjin and Shijiazhuang are mainly distributed in Beijing-Tianjin-Hebei,Shanxi,central Inner Mongolia and Shandong,which is basically consistent with CWT results.In the Beijing-Tianjin-Hebei region,local emission contributed most to PM_(2.5)emissions.The local contribution of Beijing,Tianjin and Hebei ranged from 54.33%to 66.01%,and the contribution of transmission from outside the Beijing-Tianjin-Hebei region ranged from 0.11%to 26.54%.Transport flux results show that PM_(2.5)transport in winter is mainly influenced by upper-level northwest airflow,especially in clean weather,where high wind speed drives air mass inflow.In autumn,it is mainly affected by low level southeast airflow.The inflow/outflow and vertical distribution of transport flux show a non-linear response relationship with pollution level and RH.The dominant wind direction changes lead to a significantly larger transport effect before heavy pollution than during heavy pollution,and a significantly smaller transport effect in high RH than in low RH.

关 键 词：潜在源贡献分析法(PSCF) 浓度权重轨迹分析法(CWT) WRF-CMAQ 传输贡献 传输通量 PM_(2.5) 

分 类 号：X513[环境科学与工程—环境工程]