Characteristics and prevention mechanisms of artificial slope instability in the Chinese Loess Plateau
Zhang, Xuanchang2,4; Li, Yurui2,3; Liu, Yansui2,3,4; Huang, Yunxin2,4; Wang, Yongsheng2,3; Lu, Zhi1
刊名CATENA
2021-12-01
卷号207页码:12
关键词Artificial slope instability Gully Land Consolidation project Back Propagation Neural Network (BPNN) Gutun watershed
ISSN号0341-8162
DOI10.1016/j.catena.2021.105621
通讯作者Li, Yurui(liyr@igsnrr.ac.cn) ; Liu, Yansui(liuys@igsnrr.ac.cn)
英文摘要Numerous artificial slopes emerged in the watersheds of the Chinese Loess Plateau (LP) after the Gully Land Consolidation project (GLCP) that cut slopes to create farmland in the gully, which had incurred instabilities over time and could potentially resulted in soil erosion and geological hazard. This paper explored the characteristics and prevention mechanisms of artificial slope instability after the GLCP with field investigation in a typical watershed and the Back Propagation Neural Network (BPNN) method. The results showed that: (1) 439 instabilities induced by infiltration and erosion were found in 79 artificial slopes. (2) The difference of soil moisture and failure mode resulted in the instability degree of shady slope and lower slope were significantly higher than that of sunny slope and upper slope. (3) Among the surface condition factors, slope instability volume was significantly influenced by gradient, soil compactness, height and soil shear strength. Platform instability volume had great connection with soil compactness and its shear strength. (4) A "Drain-Improve-Green-Reinforce (DIGR)" system was proposed as the prevention mechanism for artificial slope instability, which included drainage system, soil improvement, vegetation protection, and reinforcement engineering. Taken together, this research provides the scientific reference for a better understanding and prevention of artificial slope instability, which would contribute to ensuring GLCP effectiveness and ecological security in the LP.
资助项目National Key Research and Development Program of China[2017YFC0504701]
WOS关键词STABILITY ANALYSIS ; NEURAL-NETWORKS ; LANDSLIDE ; SUSCEPTIBILITY ; PREDICTION ; EROSION ; SAFETY ; INFILTRATION ; LANDSCAPE ; CAPACITY
WOS研究方向Geology ; Agriculture ; Water Resources
语种英语
出版者ELSEVIER
WOS记录号WOS:000703268900046
资助机构National Key Research and Development Program of China
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/166106]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Yurui; Liu, Yansui
作者单位1.Univ Victoria, Peter B Gustavson Sch Business, Victoria, BC V8P 5C2, Canada
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Xuanchang,Li, Yurui,Liu, Yansui,et al. Characteristics and prevention mechanisms of artificial slope instability in the Chinese Loess Plateau[J]. CATENA,2021,207:12.
APA Zhang, Xuanchang,Li, Yurui,Liu, Yansui,Huang, Yunxin,Wang, Yongsheng,&Lu, Zhi.(2021).Characteristics and prevention mechanisms of artificial slope instability in the Chinese Loess Plateau.CATENA,207,12.
MLA Zhang, Xuanchang,et al."Characteristics and prevention mechanisms of artificial slope instability in the Chinese Loess Plateau".CATENA 207(2021):12.
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