Li Meng-Zhen, Zhang Ting-Bin, Yi Gui-Hua, Qin Yan-Bin, Li Jing-Ji, Liu Xian, Jiang Jie
College of Earth Science, Chengdu University of Technology, Chengdu 610059, China.
State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution, Chengdu University of Technology, Chengdu 610059, China.
Huan Jing Ke Xue. 2021 Jul 8;42(7):3136-3146. doi: 10.13227/j.hjkx.202009235.
The spread of atmospheric pollutants in the Sichuan Basin is difficult because of its unique topography, static wind, high humidity, and other meteorological conditions. Owing to the acceleration of urbanization and industrialization, PM pollution in the region is becoming increasingly severe, and the Sichuan Basin has become one of the key areas of national air pollution prevention and control. In this study, based on the remote sensing inversion product of PM concentration, spatial autocorrelation and gray correlation analyses are used to evaluate the spatial and temporal distribution characteristics and influencing factors of PM concentration in the Sichuan Basin. The results show that PM concentration has significant spatial aggregation; the high-high aggregation types are concentrated, low-low aggregation types are more dispersed, and coniferous forest has a significantly higher inhibitory effect on the absorption of PM than the shrub, grassland, and other vegetation types. The main meteorological factors affecting PM concentration in the Sichuan Basin are wind speed and temperature; population density and economic scale are the main human-activity factors affecting PM concentration in the Sichuan Basin, and the change in the industrial structure and scale also has a certain influence on the PM concentration.
由于四川盆地独特的地形、静风、高湿度等气象条件,大气污染物在该地区的扩散较为困难。随着城市化和工业化进程的加快,该地区的PM污染日益严重,四川盆地已成为国家大气污染防治的重点区域之一。本研究基于PM浓度的遥感反演产品,运用空间自相关和灰色关联分析方法,对四川盆地PM浓度的时空分布特征及影响因素进行评估。结果表明,PM浓度具有显著的空间集聚性;高高集聚类型较为集中,低低集聚类型较为分散,针叶林对PM的吸附抑制作用明显高于灌木、草地等其他植被类型。影响四川盆地PM浓度的主要气象因素是风速和温度;人口密度和经济规模是影响四川盆地PM浓度的主要人类活动因素,产业结构和规模的变化对PM浓度也有一定影响。