中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The application of land use regression model to investigate spatiotemporal variations of PM2.5 in Guangzhou, China: Implications for the public health benefits of PM2.5 reduction

文献类型:期刊论文

作者Mo, Yangzhi2,3,4,5; Booker, Douglas1,5; Zhao, Shizhen2,3,4; Tang, Jiao2,3,4; Jiang, Hongxing2,3,4; Shen, Jin6; Chen, Duohong6; Li, Jun2,3,4; Jones, Kevin C.1; Zhang, Gan2,3,4
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2021-07-15
卷号778页码:11
ISSN号0048-9697
DOI10.1016/j.scitotenv.2021.146305
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000655599100001
源URL[http://ir.gig.ac.cn/handle/344008/64366]  
专题有机地球化学国家重点实验室
深地科学卓越创新中心
通讯作者Zhang, Gan
作者单位1.Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YQ, England
2.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China
3.Chinese Acad Sci, Guangzhou Inst Geochem, Guangdong Hong Kong Macao Joint Lab Environm Poll, Guangzhou 510640, Peoples R China
4.CAS Ctr Excellence Deep Earth Sci, Guangzhou 510640, Peoples R China
5.Univ Lancaster, Lancaster Environm Ctr, Natl Air Qual Testing Serv, Lancaster LA1 4YQ, England
6.Guangdong Environm Monitoring Ctr, Guangdong Environm Protect Key Lab Secondary Air, Guangzhou, Peoples R China
推荐引用方式
GB/T 7714
Mo, Yangzhi,Booker, Douglas,Zhao, Shizhen,et al. The application of land use regression model to investigate spatiotemporal variations of PM2.5 in Guangzhou, China: Implications for the public health benefits of PM2.5 reduction[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,778:11.
APA Mo, Yangzhi.,Booker, Douglas.,Zhao, Shizhen.,Tang, Jiao.,Jiang, Hongxing.,...&Zhang, Gan.(2021).The application of land use regression model to investigate spatiotemporal variations of PM2.5 in Guangzhou, China: Implications for the public health benefits of PM2.5 reduction.SCIENCE OF THE TOTAL ENVIRONMENT,778,11.
MLA Mo, Yangzhi,et al."The application of land use regression model to investigate spatiotemporal variations of PM2.5 in Guangzhou, China: Implications for the public health benefits of PM2.5 reduction".SCIENCE OF THE TOTAL ENVIRONMENT 778(2021):11.

入库方式: OAI收割

来源:广州地球化学研究所

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