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作 者:卢进登[1] 柯杰 莫彩芬 陈帅 LU Jin-deng;KE Jie;MO Cai-fen;CHEN Shuai(School of Resources and Environmental Science,Hubei University,Wuhan Hubei 430062,China)
出 处:《环境科学导刊》2018年第6期46-51,共6页Environmental Science Survey
基 金:武汉快速城市化过程中的资源环境承载力研究(400-099673)
摘 要:利用2017年武汉市9个大气国控点空气污染物指标数据,运用系统聚类法(HCA)和时空尺度描述图法,结合Origin 8. 5和Matlab 2012,从季节、月份两个时间尺度和不同点位空间区域探讨了武汉市城区空气污染物的时空分布特征。结果表明:(1) 6种污染物指标时间变化规律显著。夏季污染物指标最低,春秋次之,冬季最差; PM_(2.5)、PM_(10)、SO_2、NO_2和CO等指标呈现先降后升的"V"字型时间变化规律,而O_3指标呈"倒V"字型变化规律。(2)聚类分析将9个监测点位分成5种污染类型,综合型污染包括沌口新区、吴家山等,武昌紫阳为典型的尾气型污染,青山钢花是重工业型污染,东湖梨园为风景区型污染,东湖高新为粉尘型污染,空气污染空间规律与区域、产业显著相关。(3)揭示了2017年武汉市城区空气污染物时空分布规律。The data of air pollutants from 9 national air control points in Wuhan in 2017 and the method of cluster analysis(HCA)and time-scale description were used combining with Origin 8.5 and Matlab 2012,from the seasonal and monthly time scales to explore the spatial and temporal distribution of air pollutants in urban areas of Wuhan.The results showed that six kinds of pollutants indicators illustrated significant changes in time.The index of summer pollutants was the lowest,followed by spring and autumn,and the winter was the worst.The indicators of PM2.5,PM10,SO2,NO2 and CO demonstrated a change of"V"shape.The O3 index was"inverted V"type.The cluster analysis divided the 9 monitoring sites into 5 types of pollution.The comprehensive pollution included Zhuankouxinqu and Wujiashan,Wuchangziyang was typical tail gas pollution,Qingshanganghua was heavy industry pollution,and Donghuliyuan was scenic spot pollution,East Lake high-tech dust pollution.The spatial pattern of air pollution was found to be significantly correlated to regionally industrial distribution.The spatial and temporal distribution of air pollutants in urban area of Wuhan in 2017 was revealed,which provided useful reference for regional planning,atmospheric regulation and pollution source analysis.
分 类 号:X51[环境科学与工程—环境工程]
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