PM2.5 Exposure and Health Risk Assessment Using Remote Sensing Data and GIS
Bibliographic Data
| ID | 15482012 |
|---|---|
| Authors | Dan Xu (0009-0002-3944-6192, Shanghai Normal University), Wenpeng Lin (0000-0002-7974-6408, Shanghai Normal University, corresponding author), Jun Gao (0000-0002-1227-8857, Shanghai Normal University), Gao Jun (0000-0002-6043-0198, Shanghai Normal University, corresponding author), Yue Jiang (0000-0002-0310-2657, Shanghai Normal University), Lubing Li (Shanghai Normal University), Fei Gao (0000-0001-9964-2457, Shanghai Normal University) |
| Year | 2022 |
| Volume | 19 |
| Issue | 10 |
| Pages | 6154-6154 |
| Publication date | 2022-05-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph19106154 |
| PMID | 35627689 |
| OpenAlex | W4280562470 |
| Language | EN |
| Citations received | 1 |
| References cited | 48 |
Assessing personal exposure risk from PM 2.5 air pollution poses challenges due to the limited availability of high spatial resolution data for PM 2.5 and population density. This study introduced a seasonal spatial-temporal method of modeling PM 2.5 distribution characteristics at a 1-km grid level based on remote sensing data and Geographic Information Systems (GIS). The high-accuracy population density data and the relative exposure risk model were used to assess the relationship between exposure to PM 2.5 air pollution and public health. The results indicated that the spatial-temporal PM 2.5 concentration could be simulated by MODIS images and GIS method and could provide high spatial resolution data sources for exposure risk assessment. PM 2.5 air pollution risks were most serious in spring and winter, and high risks of environmental health hazards were mostly concentrated in densely populated areas in Shanghai-Hangzhou Bay, China. Policies to control the total population and pollution discharge need follow the principle of adaptation to local conditions in high-risk areas. Air quality maintenance and ecological maintenance should be carried out in low-risk areas to reduce exposure risk and improve environmental health
Air pollution · Air quality index · Environmental epidemiology · Environmental health · Environmental protection · Geographic information system · Geography · Meteorology · Population · Remote sensing · Risk assessment · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Atmospheric chemistry and aerosols · Computer Science · Environmental Science · Medicine · Ecology · Pollution
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |