Quantifying the contribution of multiple factors to land subsidence in the Beijing Plain, China with machine learning technology
- 1 June 2019
- journal article
- research article
- Published by Elsevier BV in Geomorphology
- Vol. 335, 48-61
- https://doi.org/10.1016/j.geomorph.2019.03.017
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (41771455/D010702, 4140010982/D010702, 41130744/D0107)
- China Postdoctoral Science Foundation (2018M641407)
- Beijing Youth Top Talent Project
- National “Double-Class” Construction of University Projects
- Beijing Natural Science Foundation (8182013)
- Fundamental Scientific Research Funds (025185305000/194)
- Natural Science Foundation of Tianjin City (16JCZDJC40400)
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