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Soil erosion sensitivity and prediction for hilly areas of Hubei Province, China, using combined RUSLE and LSTM models

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成果类型:
期刊论文
作者:
Ping, Yaodong;Tian, Pei;Luo, Li;Guo, Yahui;Gong, Yuwei;...
通讯作者:
Tian, P
作者机构:
[Ping, Yaodong; Tian, Pei; Guo, Yahui; Tian, P] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
[Luo, Li] Northwest Agr & Forestry Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Peoples R China.
[Zhu, Zhanliang; Gong, Yuwei] Beijing Normal Univ, Coll Water Sci, Beijing 100091, Peoples R China.
[Cui, Yongsheng] Fujian Agr & Forestry Univ, Forestry Coll, Fuzhou 350002, Peoples R China.
[Chen, Lin] Univ Calif Riverside, Dept Environm Sci, Riverside, CA 92521 USA.
通讯机构:
[Tian, P ] C
Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Soil erosion sensitivity;RUSLE;Deep learning-LSTM model;Geographic detector;Hilly areas of Hubei Province
期刊:
Journal of Soils and Sediments
ISSN:
1439-0108
年:
2024
卷:
24
期:
2
页码:
829-846
基金类别:
This research was jointly supported by the National Natural Science Foundation of China (42377354), the regional innovation and development of NSFC (U21A2039), and the Chunhui Plan Cooperation Research Project of the Chinese Ministry of Education (202200199).
机构署名:
本校为第一且通讯机构
院系归属:
城市与环境科学学院
摘要:
Purpose Hilly areas are highly susceptible to soil erosion. This study aims to discover the drivers of soil erosion, identify soil erosion-sensitive areas, and predict future soil erosion in typical hilly areas of Hubei Province, China, using combined RUSLE and LSTM models.Materials and methods In this study, soil erosion in hilly areas of Hubei Province from 2000 to 2020 was quantitatively analyzed using the revised universal soil loss equation (RUSLE), and the soil erosion sensitivity evaluation system was constructed, a geographic detector was employed to identify the main drivers of soil e...

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