摘要
为了及时获取城市住区大气污染状况,并制定有效的环境治理措施,提出了一种交通尾气碳排放影响下城市住区大气污染时空异质特征分析方法,首先利用激光雷达采集交通尾气碳排放影响下的城市住区大气污染物PM、CO、HC和NO_(x)的浓度数据,并对采集到的数据展开归一化处理;其次根据大气污染物浓度数据计算污染物的最邻近指数、核密度、重心迁移轨迹、标准差椭圆和探测力值五个指标;最后基于上述五个指标对污染物的时空异质特征展开分析。实验结果表明,该方法能够有效获得大气污染的时空异质特征,有利于改善大气污染状况。
In order to timely obtain the air pollution status of urban residential areas and formulate effective environmental control measures,a spatiotemporal heterogeneity analysis method of air pollution in urban residential areas under the influence of traffic exhaust carbon emissions is proposed.Firstly,the concentration data of PM,CO,HC and NO_(x)in urban residential areas under the influence of traffic exhaust carbon emissions are collected using LiDAR,and the collected data is normalized.Secondly,based on the concentration data of atmospheric pollutants,this study calculates the five indicators of pollutants:nearest neighbor index,nuclear density,center of gravity migration trajectory,standard deviation ellipse,and detection force value.Based on the above five indicators,the spatiotemporal heterogeneity characteristics of pollutants is finally analyzed.The experimental results indicate that this method can effectively obtain the spatiotemporal heterogeneity characteristics of air pollution,which is beneficial for improving the situation of air pollution.
作者
钱约
Qian Yue(Jiangsu Urban Rural Construction Vocational College,Changzhou 213000,China)
出处
《环境科学与管理》
CAS
2024年第12期50-54,共5页
Environmental Science and Management
关键词
交通尾气碳排放
大气污染
时空异质特征
激光雷达
地理探测器
traffic exhaust carbon emissions
air pollution
characteristics of spatiotemporal heterogeneity
Lidar
geographic detector
