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Development of season-dependent land use regression models to estimate BC and PM1 exposure.
Xu, Xiangyu; Qin, Ning; Qi, Ling; Zou, Bin; Cao, Suzhen; Zhang, Kai; Yang, Zhenchun; Liu, Yunwei; Zhang, Yawei; Duan, Xiaoli.
Affiliation
  • Xu X; School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing 100083, China.
  • Qin N; School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing 100083, China.
  • Qi L; School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing 100083, China.
  • Zou B; School of Geosciences and Info-Physics, Central South University, Changsha, Hunan 410083, China.
  • Cao S; School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing 100083, China.
  • Zhang K; Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY 12144, USA.
  • Yang Z; Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu Province 215316, China.
  • Liu Y; School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing 100083, China.
  • Zhang Y; National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
  • Duan X; School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing 100083, China. Electronic address: jasmine@ustb.edu.cn.
Sci Total Environ ; 793: 148540, 2021 Nov 01.
Article in En | MEDLINE | ID: mdl-34171802
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Air Pollutants / Air Pollution Type of study: Prognostic_studies Language: En Journal: Sci Total Environ Year: 2021 Document type: Article Affiliation country: China Country of publication: Netherlands
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Air Pollutants / Air Pollution Type of study: Prognostic_studies Language: En Journal: Sci Total Environ Year: 2021 Document type: Article Affiliation country: China Country of publication: Netherlands