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
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出版日期 | 2021-07-15 |
卷号 | 778页码:11 |
ISSN号 | 0048-9697 |
DOI | 10.1016/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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