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A distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China

文献类型:期刊论文

作者Gao, Meiling1; Seto, Edmund2; Cao, Junji3
刊名ENVIRONMENTAL POLLUTION
出版日期2015-04-01
卷号199页码:56-65
关键词Low-cost Portable Sensor Pm2.5 Network Monitoring Air Quality Exposure Assessment
ISSN号0269-7491
DOI10.1016/j.envpol.2015.01.013
文献子类Article
英文摘要

Fine particulate matter (PM2.5) is a growing public health concern especially in industrializing countries but existing monitoring networks are unable to properly characterize human exposures due to low resolution spatiotemporal data. Low-cost portable monitors can supplement existing networks in both developed and industrializing regions to increase density of sites and data. This study tests the performance of a low-cost sensor in high concentration urban environments. Seven Portable University of Washington Particle (PUWP) monitors were calibrated with optical and gravimetric PM2.5 reference monitors in Xi'an, China in December 2013. Pairwise correlations between the raw PUWP and the reference monitors were high (R-2 = 0.86-0.89). PUWP monitors were also simultaneously deployed at eight sites across Xi'an alongside gravimetric PM2.5 monitors (R-2 = 0.53). The PUWP monitors were able to identify the High-technology Zone site as a potential PM2.5 hotspot with sustained high concentrations compared to the city average throughout the day. (C) 2015 The Authors. Published by Elsevier Ltd.

WOS关键词Air-pollution ; Health
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000351972900008
出版者ELSEVIER SCI LTD
源URL[http://ir.ieecas.cn/handle/361006/9347]  
专题地球环境研究所_粉尘与环境研究室
通讯作者Gao, Meiling
作者单位1.Univ Calif Berkeley, Sch Publ Hlth, Environm Hlth Sci Div, Berkeley, CA 94720 USA
2.Univ Washington, Sch Publ Hlth, Environm & Occupat Hlth, Seattle, WA 98195 USA
3.Chinese Acad Sci, Inst Earth Environm, SKLLQG, Key Lab Aerosol Sci & Technol, Xian 710075, Peoples R China
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GB/T 7714
Gao, Meiling,Seto, Edmund,Cao, Junji. A distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China[J]. ENVIRONMENTAL POLLUTION,2015,199:56-65.
APA Gao, Meiling,Seto, Edmund,&Cao, Junji.(2015).A distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China.ENVIRONMENTAL POLLUTION,199,56-65.
MLA Gao, Meiling,et al."A distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China".ENVIRONMENTAL POLLUTION 199(2015):56-65.

入库方式: OAI收割

来源:地球环境研究所

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