Temporal and spatial variation in the environmental impacts of China’s resource extraction at the provincial scale

Ecosystem Health and Sustainability

Jing-Ru Liu¹  Wei-Qiang Chen²  Shen Zhao²  Fengmei Ma³  Yao Wang⁴  Xin-Zhe Wang⁴  Guo-Qiang Wang⁴  He-Ming Wang⁴  Yao Wei⁴  Dong Yang⁵  Feng Shi⁵  Guang-Xin Liu⁶  Hong-Tao Wang⁷ 

[1] Chinese Academy of Sciences;Institute of Urban Environment, Chinese Academy of Science;Land and Water, Commonwealth Scientific and Industrial Research Organisation (CSIRO);Northeastern University;Qilu University of Technology (Shandong Academy of Sciences);School of Environment, Tsinghua University;Sichuan University;

关键词: resource extraction;    mfa;    environmental impact;    spatial analysis;    china;   

DOI  :  10.1080/20964129.2020.1812434

来源: DOAJ

【 摘 要 】

Introduction: Over the past two decades, China has experienced rapid economic development, which has not only led to a rapid increase in the use of raw materials but has also created environmental problems. This research analyzes the environmental impacts of resource extraction in China at the provincial level, and fully considers the environmental impact of various resources extraction. In addition, it is the first time to quantitatively study the spatial pattern and evolution characteristics of the environmental impacts of China’s resource extraction from multiple perspectives by means of spatial visualization. Outcomes: The results showed that the center of gravity of abiotic depletion potential (ADP) moved northwest, respiratory inorganics (RI) moved southwest and global warming potential (GWP) moved west. The results of the standard deviation ellipse showed that RI and GWP varied over time and space, while ADP showed a discrete trend. In addition, the distribution of the four in the northeast-southwest direction became more prominent. Conclusion: To mitigate the environmental impacts of resource extraction, we recommend that regional governments implement measures to control environmental impacts in the provinces within the distributed ellipse and design targeted policies based on actual conditions.

【 授权许可】

Unknown