DOI: 10.1016/j.atmosenv.2015.09.069
Scopus记录号: 2-s2.0-84943747508
论文题名: A performance assessment and adjustment program for air quality monitoring networks in Shanghai
作者: Zhao L ; , Xie Y ; , Wang J ; , Xu X
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 122 起始页码: 382
结束页码: 392
语种: 英语
英文关键词: Air quality monitoring networks
; Assignment method
; Cluster analysis
; Principal components analysis
Scopus关键词: Air pollution
; Air pollution control
; Air quality
; Carbon
; Carbon monoxide
; Cluster analysis
; Monitoring
; Nitrogen oxides
; Pollution
; Pollution control
; Pollution detection
; Principal component analysis
; Sulfur dioxide
; Air quality monitoring networks
; Assignment method
; Monitoring environment
; Monitoring stations
; Nitrogen dioxides
; Performance assessment
; Principal components analysis
; Regional air pollution
; Quality control
; carbon monoxide
; nitrogen dioxide
; ozone
; sulfur dioxide
; air quality
; atmospheric particle
; atmospheric pollution
; carbon monoxide
; cluster analysis
; nitrogen dioxide
; ozone
; particle size
; performance assessment
; pollutant source
; pollution control
; pollution monitoring
; principal component analysis
; spatiotemporal analysis
; sulfur dioxide
; air monitoring
; air pollution
; air quality
; air quality monitoring network
; Article
; China
; cluster analysis
; particulate matter
; phylogenetic tree
; principal component analysis
; priority journal
; China
; Shanghai
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: In this study, we evaluated the performance of Shanghai's air quality monitoring network (AQMN) using principal components analysis, an assignment method, and cluster analysis. Our goal was to improve the utilization of monitoring stations and evaluate Shanghai's air quality more comprehensively and accurately. Specifically, we (i) identified similar pollution sources or behaviors in the monitoring areas; (ii) identified redundant monitoring stations and re-evaluated the AQMN's performance without them; and (iii) proposed adjustments to the AQMN. We used data on particulates less than 2.5 μm (PM2.5) and 10 μm (PM10) in diameter, sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO) at stations in and around Shanghai from 1 January to 22 August 2014. For each pollutant, we grouped the monitoring stations into clusters based on their different pollution behaviors, revealing redundancy and inefficiency in the current AQMN that resulted from the concentrated station distribution and similarity of the monitoring environments. The analysis results showed that there exist redundant stations in the current AQMN of Shanghai. Furthermore, we proposed adjustments to Shanghai's AQMN: transfer four redundant stations and build a new station in the directions of the Taicang Experimental Primary School, Kunshan Zhenchuan Middle School, Suzhou Industrial Park, Wujiang Industrial Zone, and Jiaxing Monitoring Station. Our analysis suggests that, in addition to industrial, transportation, construction, and population influences inside Shanghai, external pollutants significantly affect Shanghai's air quality. Therefore, it is necessary to jointly prevent and control regional air pollution both in Shanghai and in neighboring cities. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81361
Appears in Collections: 气候变化事实与影响
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作者单位: Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai, China; Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China; School of Management, Shanghai University, Shanghai, China
Recommended Citation:
Zhao L,, Xie Y,, Wang J,et al. A performance assessment and adjustment program for air quality monitoring networks in Shanghai[J]. Atmospheric Environment,2015-01-01,122