Unmasking the sky: high-resolution PM prediction in Texas using machine learning techniques.

Journal: Journal of exposure science & environmental epidemiology
PMID:

Abstract

BACKGROUND: Although PM (fine particulate matter with an aerodynamic diameter less than 2.5 µm) is an air pollutant of great concern in Texas, limited regulatory monitors pose a significant challenge for decision-making and environmental studies.

Authors

  • Kai Zhang
    Anhui Province Key Laboratory of Respiratory Tumor and Infectious Disease, First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
  • Jeffrey Lin
    Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Yuanfei Li
    Asian Demographic Research Institute, Shanghai University, Shanghai, China.
  • Yue Sun
    Department of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
  • Weitian Tong
    Department of Computer Science, Georgia Southern University, Statesboro, GA, USA.
  • Fangyu Li
    Song are with Center for Cyber-Physical Systems, University of Georgia, Athens, GA 30602, USA.
  • Lung-Chang Chien
    Department of Epidemiology and Biostatistics, School of Public Health, University of Nevada, Las Vegas, Las Vegas, NV, USA.
  • Yiping Yang
    Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Wei-Chung Su
    Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Hezhong Tian
    State Key Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, People's Republic of China.
  • Peng Fu
    Department of Nuclear Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. Electronic address: fupeng0451@163.com.
  • Fengxiang Qiao
    Innovative Transportation Research Institute, Texas Southern University, Houston, TX, USA.
  • Xiaobo Xue Romeiko
    Department of Environmental Health Sciences, School of Public Health,University at Albany, State University of New York, Rensselaer, NY, USA.
  • Shao Lin
    Department of Environmental Health Sciences, School of Public Health,University at Albany, State University of New York, Rensselaer, NY, USA.
  • Sheng Luo
    Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina, USA.
  • Elena Craft
    Health Effects Institute, Boston, MA, USA.