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Machine learning-based identification for the main influencing factors of alluvial fan development in the Lhasa River Basin,Qinghai-Tibet Plateau |
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| Authors: | Chen Tongde Wei Wei Jiao Juying Zhang Ziqi Li Jianjun |
| Institution: | 1. State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, Shaanxi, China2. School of Automation, Northwestern Polytechnical University, Xi’an 710072, China3. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, Shaanxi, China |
| Abstract: | Journal of Geographical Sciences - Alluvial fans are an important land resource in the Qinghai-Tibet Plateau with the expansion of human activities. However, the factors of alluvial fan development... |
| Keywords: | alluvial fan machine learning feature importance XGBoost Lhasa River Basin |
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