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
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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 |
DOI | 10.1016/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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