当前位置：
X-MOL 学术
›
Environ. Impact Assess. Rev.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Analysis of spatial-temporal association and factors influencing environmental pollution incidents in China
Environmental Impact Assessment Review ( IF 6.122 ) Pub Date : 2020-05-01 , DOI: 10.1016/j.eiar.2020.106384 Linwei Du , Huizhi Wang , He Xu
Environmental Impact Assessment Review ( IF 6.122 ) Pub Date : 2020-05-01 , DOI: 10.1016/j.eiar.2020.106384 Linwei Du , Huizhi Wang , He Xu
Abstract Environmental risk refers to the possibility of environmental pollution events caused by natural causes or human activities. Environmental risks are transmitted through environmental media and can have destructive effects on human society and the natural environment. Understanding the current status and characteristics of environmental risks can effectively prevent and control environmental risks, which is essential for establishing the safety of ecological systems. Although many scholars have studied the environmental risk characteristics of different enterprises or regional scales and proposed corresponding control methods. However, the study of environmental risk characteristics in the national scale is still insufficient, which affects the accuracy of large-scale environmental impact assessment (EIA) and is not conducive to the formulation of the large-scale environmental management system. This paper attempts to use spatial statistical methods and geographically weighted regression (GWR) models to study the temporal and spatial evolution trends of environmental events in China and the spatial correlation characteristics of influencing factors and environmental events in different regions. The research results show that the focus of China's environmental risk is continuously shifting. At present, environmental pollution incidents are concentrated in the western region, and their spatial correlation with influencing factors varies from region to region. Spatial statistical analysis can help us understand the spatial characteristics of risk and identify the interrelationships of environmental risks in different areas. Therefore, spatial statistical analysis can provide a scientific basis for macro decision-making of large regional EIA and environmental risk management. In the future, it is recommended that the focus of environmental events in different regions should be different to reduce the risk of environmental events in China.
更新日期：2020-05-01
京公网安备 11010802027423号