沙漠与绿洲气象2024，Vol.18Issue(1)：156-164,9.DOI:10.12057/j.issn.1002-0799.2024.01.020
宿迁市PM2.5积累机制及重污染天气过程分析
Accumulation Mechanism of PM2.5 and the Causes of Serious Pollution Weather in Suqian City,China
摘要
Abstract
Through the statistics of PM2.5 data of Suqian in the autumn and winter of 2017-2021 and the conventional meteorological observation data of the same period,based on the daily variation characteristics of PM2.5,it is divided into three processes:rapid accumulation,slow accumulation and dissipation according to the concentration change from 15:00 to 23:00.The accumulation characteristics of PM2.5 in Suqian are analyzed from the perspective of the accumulation rate.It is also applied to study the correlation between circulation situation and accumulation rate under the process of heavy pollution weather.The results show that the average accumulation rate of PM2.5 in the rapid accumulation process is 7.14 μg·m-3·h-1;the average accumulation rate of PM2.5 in the slow accumulation process is 3.27 μg·m-3·h-1;the average dissipation rate of PM2.5 in the dissipation process is 5.42 μg·m-3·h-1.The slow accumulation of PM2.5 is characterized by high temperature,high wind speed,low humidity and weak inversion intensity,while the rapid accumulation is the opposite.The potential source areas of PM2.5 during the slow accumulation process are mainly located in northern Jiangsu,Shandong and Hebei,while the main potential source areas of PM2.5 during the fast accumulation process are mainly located in Anhui and Hubei.The fast accumulation process is dominated by the high altitude trough followed by the ground high-pressure front,and the slow accumulation process is dominated by the latitudinal circulation with the homogeneity surface pressure field.关键词
PM2.5积累速率/快速积累/慢速积累/消散/潜在源区/环流形势Key words
PM2.5 accumulation rate/rapid accumulation/slow accumulation/dissipation/potential source area/circulation situation分类
资源环境引用本文复制引用
刘玲,殷华,仲杰,王舒欣..宿迁市PM2.5积累机制及重污染天气过程分析[J].沙漠与绿洲气象,2024,18(1):156-164,9.基金项目
宿迁市自立科研项目(SQ202210) （SQ202210）
淮河流域气象开放研究基金(HRM201702) （HRM201702）
