Study on the Spatial and Temporal Distribution Characteristics and Influencing Factors of Particulate Matter Pollution in Coal Production Cities in China
Bibliographic Data
| ID | 15486258 |
|---|---|
| Authors | JU WANG (0000-0002-6514-0923, Jilin University, corresponding author), Tongnan Li (Jilin University), Zhuoqiong Li (Jilin University), Chunsheng Fang (0000-0001-9333-4090, Jilin University) |
| Year | 2022 |
| Volume | 19 |
| Issue | 6 |
| Pages | 3228-3228 |
| Publication date | 2022-03-09 |
| 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/ijerph19063228 |
| PMID | 35328922 |
| OpenAlex | W4220946222 |
| Language | EN |
| Citations received | 3 |
| References cited | 49 |
In recent years, with the continuous advancement of China's urbanization process, regional atmospheric environmental problems have become increasingly prominent. We selected 12 cities as study areas to explore the spatial and temporal distribution characteristics of atmospheric particulate matter in the region, and analyzed the impact of socioeconomic and natural factors on local particulate matter levels. In terms of time variation, the particulate matter in the study area showed an annual change trend of first rising and then falling, a monthly change trend of "U" shape, and an hourly change trend of double-peak and double-valley distribution. Spatially, the concentration of particulate matter in the central and southern cities of the study area is higher, while the pollution in the western region is lighter. In terms of social economy, PM 2.5 showed an "inverted U-shaped" quadratic polynomial relationship with Second Industry and Population Density, while it showed a U-shaped relationship with Generating Capacity and Coal Output. The results of correlation analysis showed that PM 2.5 and PM 10 were significantly positively correlated with NO 2 , SO 2 , CO and air pressure, and significantly negatively correlated with O 3 and air temperature. Wind speed was significantly negatively correlated with PM 2.5 , and significantly positively correlated with PM 10 . In terms of pollution transmission, the southwest area of Taiyuan City is a high potential pollution source area of fine particles, and the long-distance transport of PM 2.5 in Xinjiang from the northwest also has a certain contribution to the pollution of fine particles. This study is helpful for us to understand the characteristics and influencing factors of particulate matter pollution in coal production cities
China · Coal · Distribution (mathematics · Geography · Particulates · Production (economics · Remote sensing · Spatial distribution · Air Quality and Health Impacts · Atmospheric chemistry and aerosols · Environmental Science · Vehicle emissions and performance · Ecology · Environmental Engineering · Pollution
| Citations per year | 0.75 |
|---|---|
| Citation span | 2022 - 2024 (3) |
| Highly cited | No |