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焦作市PM_(2.5)和PM_(10)时空变化特征及其与气象因子的关系 被引量:6

SPATIAL-TEMPORAL CHARACTERISTICS OF PM_(2.5) AND PM_(10) AND THEIR RELATIONSHIPS WITH METEOROLOGICAL FACTORS IN JIAOZUO, HENAN
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摘要 为了研究焦作市大气中PM_(2.5)和PM_(10)污染状况,基于2018—2020年焦作市50个环境空气质量监测站点的PM_(2.5)和PM_(10)浓度逐时观测资料,结合气象资料,分析了焦作市PM_(2.5)和PM_(10)浓度的时空分布特征及气象因素影响。结果表明:1)焦作市PM_(2.5)和PM_(10)呈双峰型日变化,且具有显著的U形逐月变化规律及冬高夏低、春秋居中的季节性特征。2)2018—2020年PM_(2.5)和PM_(10)浓度年均值呈西南高东北低的空间差异性特征。与2018年相比,2020年修武县PM_(2.5)和PM_(10)浓度的下降幅度最大,分别为30.25%、22.72%。3)Spearman相关性分析表明,PM_(2.5)和PM_(10)浓度与气温、风速呈显著负相关;与气压呈显著正相关;相对湿度与PM_(2.5)浓度呈显著正相关,与PM_(10)浓度呈显著负相关。焦作市环保局监测站在东北风、西南风风向PM_(2.5)和PM_(10)浓度污染较重,博爱县清化镇、沁阳市西万镇和武陟县乔庙乡监测站在西南风风向易出现高浓度颗粒物。该研究结果可为日后工业地区大气污染防治,生产生活的合理规划与布局提供重要参考。 In order to study the pollution status of PM_(2.5)and PM_(10)in the atmosphere of Jiaozuo,Henan,based on the hourly observation data of PM_(2.5)and PM_(10)concentrations at 50 ambient air quality monitoring stations in Jiaozuo from 2018 to 2020,combined with meteorological data,the spatial and temporal distribution characteristics of PM_(2.5)and PM_(10)in Jiaozuo and the influence of meteorological factors were analyzed.The results showed that:1)The diurnal variation of PM_(2.5)and PM_(10)concentrations presented a bimodal structure in all seasons.The variation curve of the overall monthly PM_(2.5)and PM_(10)concentrations in the three years was approximately U-shaped.The seasonal variation characteristics of PM_(2.5)and PM_(10)were higher in winter and low in summer,and moderate in spring and autumn.2)The spatial characteristics of PM_(2.5)and PM_(10)concentrations were higher in southwestern regions and lower in northeastern regions.Compared with 2018,the decrease scopes of PM_(2.5)and PM_(10)concentrations in Xiuwu County in 2020 were the largest,which were 30.25%and 22.72%,respectively.3)Spearman correlation analysis showed that the concentrations of PM_(2.5)and PM_(10)had significantly negative correlations with temperature and wind speed,and a significantly positive correlation with air pressure.Relative humidity had a significantly positive correlation with PM_(2.5)concentration,and a significantly negative correlation with PM_(10)concentration.The monitoring station in Environmental Protection Bureau of Jiaozuo had higher concentrations of PM_(2.5)and PM_(10)in northeast and southwest wind directions.The selected monitoring stations in surrounding counties(cities)of Jiaozuo had higher concentrations of PM_(2.5)and PM_(10)in the southwest wind direction,such as Qinghua Town in Boai County,Xiwan Town in Qinyang City and Qiaomiao Township in Wuzhi County.The study showed that there was a certain relationship between air pollution and meteorological factors in Jiaozuo from 2018 to 2020.It was expected to provide an important scientific basis for the prevention and control of air pollution in industrial areas,and the planning and layout of production and life in the future.
作者 李杨 刘永和 王西岳 王海邻 LI Yang;LIU Yonghe;WANG Xiyue;WANG Hailin(School of Resources and Environment,Henan Polytechnic University,Jiaozuo 454003,China;Jiaozuo Ecological Environment Monitoring Center,Jiaozuo 454003,China)
出处 《环境工程》 CAS CSCD 北大核心 2022年第9期44-53,共10页 Environmental Engineering
基金 河南省高等学校重点科研项目计划项目“豫北地区空气质量指数的统计降尺度研究”(19A170007) 焦作市环境生态局专项技术开发项目“焦作市高分辨率大气污染扩散模拟系统项目”(H21-169)
关键词 PM_(2.5) PM_(10) 时空分布 变化趋势 气象因子 PM_(2.5) PM_(10) spatial and temporal distribution variation trend meteorological factor
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