The Massive Expansion and Spatial Transformation of Potentially Contaminated Land Across China in 1990–2020 Observed from Remote Sensing and Big-data

作     者：DOU Yinyin GUO Changqing KUANG Wenhui CHI Wenfeng LEI Mei DOU Yinyin;GUO Changqing;KUANG Wenhui;CHI Wenfeng;LEI Mei

作者机构：Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China School of Resources and Environmental EconomicsInner Mongolia University of Finance and EconomicsHohhot 010017China 

出 版 物：《Chinese Geographical Science》 (中国地理科学（英文版）)

年 卷 期：2022年第32卷第5期

页      面：776-791页

核心收录：

学科分类：12[管理学] 1204[管理学-公共管理] 082803[工学-农业生物环境与能源工程] 08[工学] 0828[工学-农业工程] 09[农学] 0903[农学-农业资源与环境] 083306[工学-城乡规划管理] 120405[管理学-土地资源管理] 0833[工学-城乡规划学] 

基　　金：Under the auspices of the National Key Research and Development Program (No. 2018YFC1800103  2018YFC1800106) 

主　　题：potentially contaminated land(PCL) remote sensing mapping mining area ecological risk environmental governance 

摘      要：Identifying and monitoring the spatiotemporal patterns of potentially contaminated land(PCL) in China is a key concern of ecological governance. However, the dynamics of PCL’s expansion remain unclear nationwide. Integrating high-resolution remote sensing images, a land-use/cover change database, crawler data from websites, and other multisource data, we produced a new dataset of China’s PCL in 1990, 2000, 2010, and 2020 using data fusion technology. Then we analyzed the spatiotemporal patterns of China’s PCL from 1990 to 2020. Our study shows that the acquired vector dataset of China’s PCL is of high quality and reliability, with an overall accuracy of 93.21%. The area of China’s PCL has kept growing for the past 30 years, and the growth rate was especially rapid during2000–2010, 2.32 and 6.13 times as rapid as that during 1990–2000 and 2010–2020, respectively. PCL has also been trending toward higher aggregation over markedly enlarged areas and has transferred progressively from north and southeast of China to northwest and southwest of China and Qinghai-Tibet Plateau. The patterns of China’s PCL have been driven by the joint factors of policies, mineral resources, economy, and others, among which policies and the economy have contributed more prominently to the long-term *** study promotes the access to high-quality spatial data of PCL to facilitate environmental governance of mine wastes, pollution and land management.