Affiliations 

  • 1 Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, Indonesia. Electronic address: [email protected]
  • 2 Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, Indonesia; Center for Remote Sensing, Institut Teknologi Bandung, Bandung 40132, Indonesia. Electronic address: [email protected]
  • 3 Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, Indonesia; Center for Remote Sensing, Institut Teknologi Bandung, Bandung 40132, Indonesia. Electronic address: [email protected]
  • 4 Research Institute for Humanity and Nature, Kyoto 603-8047, Japan. Electronic address: [email protected]
  • 5 Space Technology Institute, Vietnam Academic of Science and Technology, Viet Nam. Electronic address: [email protected]
  • 6 Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia; Center of Excellence for Climate Change Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia; Earth Observation Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia. Electronic address: [email protected]
  • 7 Chemical Engineering Department, Institut Teknologi Bandung, Bandung 40132, Indonesia. Electronic address: [email protected]
  • 8 School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung 40132, Indonesia. Electronic address: [email protected]
  • 9 Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, Indonesia; Center for Remote Sensing, Institut Teknologi Bandung, Bandung 40132, Indonesia. Electronic address: [email protected]
Sci Total Environ, 2023 Jan 01;854:158825.
PMID: 36116660 DOI: 10.1016/j.scitotenv.2022.158825

Abstract

Air pollution has massive impacts on human life and poor air quality results in three million deaths annually. Air pollution can result from natural causes, including volcanic eruptions and extreme droughts, or human activities, including motor vehicle emissions, industry, and the burning of farmland and forests. Emission sources emit multiple pollutant types with diverse characteristics and impacts. However, there has been little research on the risk of multiple air pollutants; thus, it is difficult to identify multi-pollutant mitigation processes, particularly in Southeast Asia, where air pollution moves dynamically across national borders. In this study, the main objective was to develop a multi-air pollution risk index product for CO, NO2, and SO2 based on Sentinel-5P remote sensing data from 2019 to 2020. The risk index was developed by integrating hazard, vulnerability, and exposure analyses. Hazard analysis considers air pollution data from remote sensing, vulnerability analysis considers the air pollution sources, and exposure analysis considers the population density. The novelty of this study lies in its development of a multi-risk model that considers the weights obtained from the relationship between the hazard and vulnerability parameters. The highest air pollution risk index values were observed in urban areas, with a high exposure index that originates from pollution caused by human activity. Multi-risk analysis of the three air pollutants revealed that Singapore, Vietnam, and the Philippines had the largest percentages of high-risk areas, while Indonesia had the largest total high-risk area (4361 km2). Using the findings of this study, the patterns and characteristics of the risk distribution of multiple air pollutants in Southeast Asia can be identified, which can be used to mitigate multi-pollutant sources, particularly with respect to supporting the clean air targets in the Sustainable Development Goals.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.