Wang Ju, Li Tongnan, Li Zhuoqiong, Fang Chunsheng
College of New Energy and Environment, Jilin University, Changchun 130012, China.
Int J Environ Res Public Health. 2022 Mar 9;19(6):3228. doi: 10.3390/ijerph19063228.
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 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 and PM were significantly positively correlated with NO, SO, CO and air pressure, and significantly negatively correlated with O and air temperature. Wind speed was significantly negatively correlated with PM, and significantly positively correlated with PM. 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 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.
近年来，随着中国城市化进程的不断推进，区域大气环境问题日益突出。我们选取了12个城市作为研究区域，以探究该区域大气颗粒物的时空分布特征，并分析社会经济和自然因素对当地颗粒物水平的影响。在时间变化方面，研究区域内的颗粒物呈现出先上升后下降的年变化趋势、“U”形的月变化趋势以及双峰双谷分布的小时变化趋势。在空间上，研究区域中部和南部城市的颗粒物浓度较高，而西部地区的污染较轻。在社会经济方面，PM与第二产业和人口密度呈现“倒U形”二次多项式关系，而与发电量和煤炭产量呈现U形关系。相关性分析结果表明，PM和PM与NO、SO、CO及气压显著正相关，与O和气温显著负相关。风速与PM显著负相关，与PM显著正相关。在污染传输方面，太原市西南部地区是细颗粒物的高潜在污染源区，新疆地区PM从西北方向的远距离传输对细颗粒物污染也有一定贡献。本研究有助于我们了解煤炭生产城市颗粒物污染的特征及影响因素。
