Particulate Matter Pollution and Population Exposure Assessment over Mainland China in 2010 with Remote Sensing
Bibliographic Data
| ID | 15468146 |
|---|---|
| Authors | Ling Yao (0000-0003-1086-5641, Chinese Academy of Sciences), Ning Lu (0000-0002-8110-9176, Chinese Academy of Sciences, corresponding author) |
| Year | 2014 |
| Volume | 11 |
| Issue | 5 |
| Pages | 5241-5250 |
| Publication date | 2014-05-14 |
| 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/ijerph110505241 |
| PMID | 24830453 |
| PMCID | PMC4053876 |
| OpenAlex | W2024894548 |
| Language | EN |
| Citations received | 5 |
| References cited | 3 |
The public is increasingly concerned about particulate matter pollution caused by respirable suspended particles (PM10) and fine particles (PM2.5). In this paper, PM10 and PM2.5 concentration are estimated with remote sensing and individual air quality indexes of PM10 and PM2.5 (IPM10 and IPM2.5) over mainland China in 2010 are calculated. We find that China suffered more serious PM2.5 than PM10 pollution in 2010, and they presented a spatial differentiation. Consequently, a particulate-based air quality index (PAQI) based on a weighting method is proposed to provide a more objective assessment of the particulate pollution. The study demonstrates that, in 2010, most of mainland China faced a lightly polluted situation in PAQI case; there were three areas obviously under moderate pollution (Hubei, Sichuan-Chongqing border region and Ningxia-Inner Mongolia border region). Simultaneously, two indicators are calculated with the combination of population density gridded data to reveal Chinese population exposure to PM2.5. Comparing per capita PM2.5 concentration with population-weighted PM2.5 concentration, the former shows that the high-level regions are distributed in Guangdong, Shanghai, and Tianjin, while the latter are in Hebei, Chongqing, and Shandong. By comparison, the results demonstrate that population-weighted PM2.5 concentration is more in line with the actual situation
Air pollution · Air quality index · Beijing · China · Environmental health · Environmental protection · Geography · Inner mongolia · Inverse distance weighting · Mainland China · Meteorology · Multivariate interpolation · Particulate pollution · Particulates · Physical geography · Population · Statistics · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Atmospheric chemistry and aerosols · Environmental Science · Mathematics · Environmental Engineering · Pollution
Quantitative Assessment of Relationship between Population Exposure to PM2.5 and Socio-Economic Factors at Multiple Spatial Scales over Mainland China
Threshold Effects of PM2.5 Exposure on Particle-Related Mortality in China
Temporal and Spatial Simulation of Atmospheric Pollutant PM2.5 Changes and Risk Assessment of Population Exposure to Pollution Using Optimization Algorithms of the Back Propagation-Artificial Neural Network Model and GIS
PM2.5, Population Exposure and Economic Effects in Urban Agglomerations of China Using Ground-Based Monitoring Data
PM2.5 Concentration Exposure over the Belt and Road Region from 2000 to 2020
| Citations per year | 0.45 |
|---|---|
| Citation span | 2015 - 2022 (8) |
| Highly cited | No |