论文摘要
Characteristics of air pollution in Northeast China(NEC) received less research attention in the past comparing to other heavily polluted regions in China.Spatiotemporal variations of six criteria air pollutants(PM10, PM2.5, SO2, NO2, O3 and CO) in Central Liaoning Urban Agglomeration(CLUA) and Harbin-Changchun Urban Agglomeration(HCUA) in NEC Plain were analyzed in this study based on three-year hourly observations of air pollutants and meteorological variables from 2015 to 2017.The results indicated that the annual mean concentrations of air pollutants are generally higher in the middle and southern regions in NEC Plain and lower in the northern region.Megacities such as Shenyang, Harbin and Changchun experience severe air pollution, with a three-year averaged air quality index(AQI) larger than 80, far exceeding the daily AQI standard at the first-level of 50 in China.The annual mean PM and SO2 concentrations decrease most significantly in NEC urban agglomerations from 2015 to 2017, followed by CO and NO2, while O3 shows a slight increasing trend.All the six pollutants exhibit obvious seasonal and diurnal variations, and these variations are dictated by local emission and meteorological conditions.PM2.5 and O3 concentrations in NEC urban agglomerations strongly depend on wind conditions.High O3 concentrations at different cities usually occur in presence of strong winds but are independent on wind direction(WD), while high PM2.5 is usually accompanied by weak winds and poor dispersion condition, and sometimes also occur when the northerly or southerly winds are strong.Regional transport of air pollutants between NEC urban agglomerations is common.A severe haze event on November 1–4, 2017 is examined to demonstrate the role of regional transport on pollution.
论文目录
文章来源
类型: 期刊论文
作者: LI Xiaolan,HU Xiaoming,SHI Shuaiyi,SHEN Lidu,LUAN Lan,MA Yanjun
来源: Chinese Geographical Science 2019年06期
年度: 2019
分类: 基础科学,工程科技Ⅰ辑
专业: 环境科学与资源利用
单位: Institute of Atmospheric Environment,China Meteorological Administration,Center for Analysis and Prediction of Storms,University of Oklahoma,School of Meteorology, University of Oklahoma,State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences,College of Resources and Environment, University of Chinese Academy of Sciences,Shenyang Regional Climatic Center,Chinese Academy of Meteorological Sciences
基金: Under the auspices of National Key Research and Development Program of China(No.2017YFC0212301,2016YFC0203304),Basic Research Funds of Central Public Welfare Research Institutes(No.2018SYIAEZD4),Program of Liaoning Meteorological Office(No.201904,D201603),Key Program of National Natural Science Foundation of China(No.41730647),Program of Laboratory of Atmospheric Chemistry,China Meteorological Administration(No.2017B02),Key Program of Natural Science Foundation of Liaoning Province(No.20170520359)
分类号: X51
页码: 917-933
总页数: 17
文件大小: 2430K
下载量: 42