Quantifying the contribution of multiple factors to land subsidence in the Beijing Plain, China with machine learning technology

Chaofan Zhou(Hebei Medical University), Guangyao Duan(Tianjin Chengjian University), Lin Guo(Capital Normal University), Min Shi(Capital Normal University), Xu Wang(Capital Normal University), Yuan Si(Capital Normal University), Xiaojuan Li(Beijing Normal University), Huili Gong(Beijing Normal University), Jiwei Li(University of Massachusetts Amherst), Beibei Chen(Capital Normal University), Mingliang Gao(Capital Normal University)
Geomorphology
March 16, 2019
10.1016/j.geomorph.2019.03.017
Cited by 89

Related Papers

Long-term groundwater storage changes and land subsidence development in the North China Plain (1971–2015)
|Hydrogeology Journal|2018|237
Land subsidence and its relation with groundwater aquifers in Beijing Plain of China
|The Science of The Total Environment|2020|153
Characterization and causes of land subsidence in Beijing, China
|International Journal of Remote Sensing|2016|112
InSAR time-series investigation of long-term ground displacement at Beijing Capital International Airport, China
|Tectonophysics|2016|89
Land Subsidence and Ground Fissures in Beijing Capital International Airport (BCIA): Evidence from Quasi-PS InSAR Analysis
|Remote Sensing|2019|82