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Predicting ambient PM2.5 concentrations via time series models in Anhui Province, China.
Hasnain, Ahmad; Hashmi, Muhammad Zaffar; Khan, Sohaib; Bhatti, Uzair Aslam; Min, Xiangqiang; Yue, Yin; He, Yufeng; Wei, Geng.
Affiliation
  • Hasnain A; Department of Atmospheric and Oceanic Sciences, Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China.
  • Hashmi MZ; Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
  • Khan S; Department of Civil and Environmental Engineering, Michigan State University 1449 Engineering Research, East Lansing, MI, 48823, USA.
  • Bhatti UA; Department of Environmental Health, Health Services Academy, Islamabad, Pakistan.
  • Min X; School of Geography, Nanjing Normal University, Nanjing, 210023, China.
  • Yue Y; School of Information and Communication Engineering, Hainan University, Haikou, China. uzair@hainanu.edu.cn.
  • He Y; School of Geography, Nanjing Normal University, Nanjing, 210023, China.
  • Wei G; Xinjiang Key Laboratory of Oasis Ecology, College of Geography and Remote Sensing Science, Xinjiang University, Urumqi, China.
Environ Monit Assess ; 196(5): 487, 2024 Apr 30.
Article in En | MEDLINE | ID: mdl-38687422
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Environmental Monitoring / Air Pollutants / Air Pollution / Particulate Matter Country/Region as subject: Asia Language: En Journal: Environ Monit Assess Journal subject: SAUDE AMBIENTAL Year: 2024 Document type: Article Affiliation country: China Country of publication: Países Bajos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Environmental Monitoring / Air Pollutants / Air Pollution / Particulate Matter Country/Region as subject: Asia Language: En Journal: Environ Monit Assess Journal subject: SAUDE AMBIENTAL Year: 2024 Document type: Article Affiliation country: China Country of publication: Países Bajos