摘要
基于阳泉市6个国控站的空气质量监测数据和阳泉市气象站的日气象数据,分析2018年-2020年阳泉市区颗粒态污染物时空分布特征及其对气象因子的响应,发现2018年-2020年阳泉市区空气质量整体转好;2018年时PM_(10)日平均浓度在春季最高,2019年、2020年则为冬季最高;PM_(2.5)日平均浓度均表现为冬季最高。空间分布上,阳泉市区颗粒物浓度全年表现为东南部高,城区、矿区低的特点。气象因子与ρ(PM_(10))、ρ(PM_(2.5))的相关性存在季节性差异,同时ρ(PM_(10))和ρ(PM_(2.5))对气象因素的响应程度存在差异,气温、相对湿度、风速风向是影响阳泉市区大气颗粒物浓度的主要气象因子。
Based on the air quality monitoring data of six state-controlled stations in Yangquan City and the daily meteorological data of Yangquan Meteorological Station,the temporal and spatial distribution characteristics of particulate pollutants in Yangquan from 2018 to 2020 and their responses to meteorological factors were analyzed.It was found that the air quality in Yangquan has improved as a whole from 2018 to 2020.In 2018,the daily average concentration of PM_(10)was the highest in spring,but it was the highest in winter in 2019 and 2020.The daily average concentration of PM_(2.5)is the highest in winter.In terms of spatial distribution,the concentration of particulate matter in the urban area of Yangquan is high in the southeast and low in urban areas and mining areas throughout the year.There are seasonal differences in the correlations between meteorological factors withρ(PM_(10))andρ(PM_(2.5)).At the same time,there are differences in the responses ofρ(PM_(10))andρ(PM_(2.5))to meteorological factors.Temperature,relative humidity,wind speed and direction are the main meteorological factors affecting the concentration of atmospheric particulate matter in Yangquan urban area.
作者
马晓玲
贾立亭
袁杰
周焱博
王妍
Ma Xiaoling;Jia Liting;Yuan Jie;Zhou Yanbo;Wang Yan(Yangquan Meteorological Bureau of Shanxi Province,Yangquan 045000,China)
出处
《环境科学与管理》
CAS
2022年第9期90-95,共6页
Environmental Science and Management
