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Potential for developing independent daytime/nighttime LUR models based on short-term mobile monitoring to improve model performance.
Xu, Xiangyu; Qin, Ning; Yang, Zhenchun; Liu, Yunwei; Cao, Suzhen; Zou, Bin; Jin, Lan; 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.
  • Yang Z; MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, United Kingdom.
  • Liu Y; School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing, 100083, China.
  • Cao S; 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.
  • Jin L; Department of Surgery, Yale School of Medicine, New Haven, CT, 06520, USA.
  • Zhang Y; Department of Surgery, Yale School of Medicine, New Haven, CT, 06520, USA; Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, 06510, USA.
  • Duan X; School of Energy and Environmental Engineering, University of Science and Technology of Beijing, Beijing, 100083, China. Electronic address: jasmine@ustb.edu.cn.
Environ Pollut ; 268(Pt B): 115951, 2021 Jan 01.
Article in En | MEDLINE | ID: mdl-33162219
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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: Environ Pollut Journal subject: SAUDE AMBIENTAL Year: 2021 Document type: Article Affiliation country: China Country of publication: United kingdom
Fulltext
Add to My VHL
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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: Environ Pollut Journal subject: SAUDE AMBIENTAL Year: 2021 Document type: Article Affiliation country: China Country of publication: United kingdom