引用本文:王振,宋京京,余益军,杨卫芬等.常州市国控站PM2.5监测的代表范围研究[J].环境监控与预警,2022,14(6):46-51
WANG Zhen,SONG Jing-jing,YU Yi-jun, YANG Wei-fen.Study on PM2.5Monitoring Range of Changzhou National Control Station[J].Environmental Monitoring and Forewarning,2022,14(6):46-51
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 3015次   下载 536 本文二维码信息
码上扫一扫!
分享到: 微信 更多
常州市国控站PM2.5监测的代表范围研究
王振,宋京京,余益军,杨卫芬等1,2
1.江苏省常州环境监测中心,江苏 常州 213001;2.北京市气象信息中心,北京 100089
摘要:
为评价常州市国家大气自动监测站(国控站)细颗粒物(PM2.5)监测的代表范围,通过1 km×1 km的多角度大气校正算法(MAIAC)的气溶胶光学厚度(AOD)等相关数据,采用随机森林方法进行PM2.5估算反演,考虑变异函数和最优分割模型等统计学模型,开展国控站PM2.5监测代表范围的评价。结果表明:(1)估算反演的PM2.5浓度空间分布显示,常州市区东部区域浓度相对较高,西南部区域浓度相对较低;(2)变异函数分析中,PM2.5浓度在5 km范围内具有相对显著的空间相关性,但超过5 km范围后空间自相关性不显著,差异性增大到最大;(3)最优分割法分析中,常州市各个国控站PM2.5监测均存在各自的代表范围,2019年的代表范围为3~5 km,其中“经开区”站点范围最大(5 km),“市监测站”和“武进监测站”站点范围最小(均为3 km),且逐年分析显示,各个站点PM2.5监测的代表范围呈上升趋势。
关键词:  大气自动监测站  细颗粒物  多角度大气校正算法  气溶胶光学厚度  监测范围  常州市
DOI:
分类号:X831
基金项目:江苏省常州环境监测中心培优科研基金资助项目(202002-PY)
Study on PM2.5Monitoring Range of Changzhou National Control Station
WANG Zhen,SONG Jing-jing,YU Yi-jun, YANG Wei-fen1,2
1.Jiangsu Changzhou Environmental Monitoring Center, Changzhou, Jiangsu 213001,China;2.Beijing Meteorological Information Center, Beijing 100089,China
Abstract:
In order to evaluate the representative range of PM2.5 monitoring in Changzhou national automatic monitoring station, this study used MAIAC AOD and other relevant data of 1 km×1 km to conduct PM2.5 estimation inversion using random forest method. Statistical models such as variofunction and optimal segmentation model were considered to evaluate the representative range of PM2.5monitoring in national control points. The results show that: (1) The estimated spatial distribution of PM2.5 concentration in the eastern part of Changzhou is relatively high, and the concentration in the southwestern part is relatively low. (2) In the variogram analysis, PM2.5 concentration has a relatively significant spatial correlation within the range of 5 km, the spatial autocorrelation is not significant, the difference increases to the maximum. (3) In the analysis of optimal segmentation method, each national control station in Changzhou has its own the PM2.5 monitoring representative range. The results shows that the range in 2019 is 3~5 km, among which the “Technical Economic Development Area” has the largest range (5 km), and the “City monitoring station” and “Wujin Monitoring Station” have the smallest range (both 3 km). Year by year analysis shows that the range of PM2.5 monitoring at each station presents an upward trend.
Key words:  Automatic atmospheric monitoring station  PM2.5  MAIAC  AOD  Monitoring scope  Changzhou City