首页 | 本学科首页   官方微博 | 高级检索  
     检索      

北京市大气污染物浓度空间分布与优化布点研究
引用本文:李展,杨会改,蒋燕,尹元畅,王洪前,王波,王斌.北京市大气污染物浓度空间分布与优化布点研究[J].中国环境监测,2015,31(1):74-78.
作者姓名:李展  杨会改  蒋燕  尹元畅  王洪前  王波  王斌
作者单位:四川大学建筑与环境学院, 四川 成都 610065,四川大学建筑与环境学院, 四川 成都 610065,四川大学建筑与环境学院, 四川 成都 610065,四川大学建筑与环境学院, 四川 成都 610065,四川大学建筑与环境学院, 四川 成都 610065,四川大学建筑与环境学院, 四川 成都 610065,四川大学建筑与环境学院, 四川 成都 610065
摘    要:基于地统计学方法对北京市2012年11—12月的大气污染物SO2、NO2、PM10和PM2.5浓度数据进行了空间分析。结果表明,4种污染物浓度数据均符合正态分布,满足地统计学分析的使用条件且均呈现中等强度的变异性。4种污染物半变异函数的块金效应值分别是29%、24%、7%、4%,表现出很强的空间相关性。4种污染物长轴变程分别是63、58、62、90 km,短轴变程分别是31、37、48、50 km,空间分布呈现出各向异性,变程范围与中尺度天气系统相当。研究大气污染物的空间分布特性对于整体把握区域环境空气质量和监测点位优化十分重要,以北京市区域空气质量中PM2.5监测站点设置为例,其监测站点在长轴方向上的间隔设置应取20~25 km,短轴方向上布点间隔应为8~12 km。

关 键 词:大气污染物  地统计学  空间分析  优化布点  北京
收稿时间:2013/10/18 0:00:00
修稿时间:2014/1/25 0:00:00

The Study on Spatial Distribution of Atmospheric Contaminant Concentrations and Optimization of Air Quality Monitoring Sites in Beijing City
LI Zhan,YANG Hui-gai,JIANG Yan,YIN Yuan-chang,WANG Hong-qian,WANG Bo and WANG Bin.The Study on Spatial Distribution of Atmospheric Contaminant Concentrations and Optimization of Air Quality Monitoring Sites in Beijing City[J].Environmental Monitoring in China,2015,31(1):74-78.
Authors:LI Zhan  YANG Hui-gai  JIANG Yan  YIN Yuan-chang  WANG Hong-qian  WANG Bo and WANG Bin
Institution:College of Architecture and Environment, Sichuan University, Chengdu 610065, China,College of Architecture and Environment, Sichuan University, Chengdu 610065, China,College of Architecture and Environment, Sichuan University, Chengdu 610065, China,College of Architecture and Environment, Sichuan University, Chengdu 610065, China,College of Architecture and Environment, Sichuan University, Chengdu 610065, China,College of Architecture and Environment, Sichuan University, Chengdu 610065, China and College of Architecture and Environment, Sichuan University, Chengdu 610065, China
Abstract:The spatial analysis of the SO2, NO2, PM10, and PM2.5 concentrations data collected from air quality automatic monitoring network of Beijing during Nov. to Dec. 2012 were based on the geo-statistics method. The results show that the data are all subordinated to normal distribution that meets the prerequisite of geo-statistical analysis, with a moderate intensity spatial variability. The nugget effect values of the semivariogram fitting parameters of the four pollutants are 29%, 24%, 7% and 4%, respectively. The nugget effect values reveal that they all have strong spatial relevance. It exhIBIts anisotropic distribution totally, 63, 58, 62, 90 km the major ranges and 31, 37, 48, 50 km the minor ranges of the four pollutants. The range scope and mesoscale weather systems are quite. Studying on the spatial distribution of air pollutants is very important to integrally grasp the regional environmental air quality and carry out monitoring sites optimization. As the example of setting the PM2.5 monitoring sites of regional air quality in Beijing, it suggests that the theoretical sampling interval should be about 20-25 km at the direction of major ranges, while should be about 8-12 km at the direction of minor ranges.
Keywords:atmospheric contaminant  Geo-statistics  spatial analysis  optimizing monitoring sites  Beijing
本文献已被 CNKI 等数据库收录!
点击此处可从《中国环境监测》浏览原始摘要信息
点击此处可从《中国环境监测》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号