中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Evolution of high-filling loess slope under long-term seasonal fluctuation of groundwater

文献类型:期刊论文

作者Bao, Han1,5,6; Liu, Li1; Lan, Hengxing2,3; Peng, Jianbing3,5; Yan, Changgen1,6; Tang, Ming1; Guo, Guanmiao1; Zheng, Han4,5
刊名CATENA
出版日期2024-04-15
卷号238页码:13
关键词Groundwater Seasonal evolution Slope stability Numerical modelling Sensitivity analysis Early warning
ISSN号0341-8162
DOI10.1016/j.catena.2024.107898
通讯作者Liu, Li(2022021006@chd.edu.cn) ; Zheng, Han(zhenghan@chd.edu.cn)
英文摘要Groundwater is a critical factor influencing the evolution of high-filling loess slopes (HLS). This study examines how long -term seasonal fluctuations in groundwater (SFG) influence the evolution of HLS within the context of the Gully Land Consolidation Project (GLCP) in the Chinese Loess Plateau. According to the field monitoring data, the permeability coefficients of each stratigraphic unit were inverted, then the trend of groundwater change in the HLS was derived by forward modeling based on the existing meteorological data, and it was found that the seasonal fluctuation of the groundwater could reach a state of overall stability by the 18th year. Under the longterm effect of SFG, the stability of the slope gradually decreases. Although the stability safety factor (Fs) dropping by 0.15 when compared to conditions without considering SFG, the slope can still maintain a fundamental level of stability. Considering the impact of rainfall on groundwater and the influence of groundwater on slope stability, the sensitivity of rainfall to groundwater and groundwater to slope stability were quantitatively calculated. And the slope evolution analysis method, which considers the multi-process effects of the rainfall-groundwaterslope was established. Furthermore, the shoulder and foot of the slope were identified as optimal points for monitoring groundwater levels. Additionally, it was observed that prolonged rainfall events generated multiple sensitivity peaks, increasing the probability of slope instability, while intense rainfall events shortened the lagtime of slope stability response to rainfall. Taking groundwater as a disaster monitoring factor, it offers an advance warning window of 0.07-0.38 days, which can significantly improve the disaster response efficiency and provide guidance for the safe production and efficient disaster prevention of GLCP in loess areas.
WOS关键词HYDROLOGICAL RESPONSE ; NUMERICAL-ANALYSIS ; DEBRIS-FLOW ; RAINFALL ; LANDSLIDE ; STABILITY ; AREA ; INSTABILITY ; IRRIGATION ; EMBANKMENT
资助项目National Natural Science Foundation of China[41927806] ; National Natural Science Foundation of China[42041006] ; National Natural Science Foundation of China[32071586] ; National Natural Science Foundation of China[41790443] ; Key Research and Development Program of Shaanxi, China[2023-YBSF-486] ; Young Talent Fund of Association for Science and Technology in Shaanxi, China[20220707] ; Fundamental Research Funds for the Central Universities[300102293207] ; Fundamental Research Funds for the Central Universities[300102212213]
WOS研究方向Geology ; Agriculture ; Water Resources
语种英语
WOS记录号WOS:001200001300001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Key Research and Development Program of Shaanxi, China ; Young Talent Fund of Association for Science and Technology in Shaanxi, China ; Fundamental Research Funds for the Central Universities
源URL[http://ir.igsnrr.ac.cn/handle/311030/204631]  
专题中国科学院地理科学与资源研究所
通讯作者Liu, Li; Zheng, Han
作者单位1.Changan Univ, Sch Highway, Xian 710064, Shaanxi, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Changan Univ, Sch Geol Engn & Geomatics, Xian 710064, Shaanxi, Peoples R China
4.Changan Univ, Sch Environm Sci & Engn, Minist Educ, Key Lab Subsurface Hydrol & Ecol Effect Arid Reg, Xian 710054, Peoples R China
5.State Key Lab Loess Sci In Preparat, Xian 710054, Peoples R China
6.Xian Key Lab Geotech Engn Green & Intelligent Tran, Xian, Peoples R China
推荐引用方式
GB/T 7714
Bao, Han,Liu, Li,Lan, Hengxing,et al. Evolution of high-filling loess slope under long-term seasonal fluctuation of groundwater[J]. CATENA,2024,238:13.
APA Bao, Han.,Liu, Li.,Lan, Hengxing.,Peng, Jianbing.,Yan, Changgen.,...&Zheng, Han.(2024).Evolution of high-filling loess slope under long-term seasonal fluctuation of groundwater.CATENA,238,13.
MLA Bao, Han,et al."Evolution of high-filling loess slope under long-term seasonal fluctuation of groundwater".CATENA 238(2024):13.

入库方式: OAI收割

来源:地理科学与资源研究所

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