Numerical simulation study of the influence of groundwater seepage field on the stability of landslide in reservoir: A case study in Yangjiaotan landslide of Baimaku area
TIAN Kai1, YAO Pinpin2, TIE Yongbo1, XU Wei1
1. Chengdu Center of China Geological Survey, Sichan Chengdu 610081, China; 2. Engineering College, China University of Geosciences, Hubei Wuhan 430070, China
Abstract：Aiming at the complex problem of quantitative evaluation of the landslide stability under the condition of reservoir water level change, the authors in this paper considered the influence mechanism of rainfall and reservoir water level changes on groundwater seepage field, and adopted the basic theory of saturated-unsaturated seepage and seepage simulation finite element method to simulate the Yangjiaotan landside stability in the reservoir area under 6 different conditions. The results show that: ① Rainfall has an impact on the groundwater seepage field, with the greatest impact in the middle of the groundwater level and little impact on the front and back. Under rainfall conditions, the stability of the landslide decreases with the increase in rainfall duration. The landslide began to slip after reaching a certain stage, and the landslide stability coefficient keep unchanged. ② Under the condition of the reservoir water level, the front edge of the landslide was mainly affected, and groundwater level changes rapidly with the change of the reservoir water level. The landslide stability coefficient shows a trend of first decreasing and then increasing with the rising reservoir water level. ③ The sudden rise of the groundwater level has limited impact on the floating effect, but it has a greater impact on counter poising. Besides, it also reduces the impact of the seepage force, which has a positive effect on the stability of the landslide. The sudden drop of the groundwater level increases the seepage force, weakening the effect of leading-edge reservoir water level on counter posing, so the possibility of landslide instability is greatest. The research results can provide a scientific basis for the prediction of the current stability and development trend of such landslides in the reservoir area.
田凯, 姚品品, 铁永波, 徐伟. 地下水渗流场对库区滑坡稳定性影响的数值模拟——以白马库区羊角滩滑坡为例[J]. 中国地质调查, 2022, 9(4): 74-81.
TIAN Kai, YAO Pinpin, TIE Yongbo, XU Wei. Numerical simulation study of the influence of groundwater seepage field on the stability of landslide in reservoir: A case study in Yangjiaotan landslide of Baimaku area. , 2022, 9(4): 74-81.
[1] 熊珅,易武,王力,等.三峡库区八字门滑坡变形破坏机理分析[J].中国地质灾害与防治学报,2019,30(5):9-18. Xiong S,Yi W,Wang L,et al.Analysis of deformation and failure mechanism of Bazimen landslide in Three Gorges Reservoir Area[J].Chin J Geol Hazard Control,2019,30(5):9-18. [2] 张丽艳. 唐山陡河水库凤山地下水渗流场探测分析[J].陕西水利,2019(6):64-65,68. Zhang L Y.Detection and analysis of groundwater seepage field in Fengshan of Tangshan Douhe Reservoir[J].Shaanxi Water Resour,2019(6):64-65,68. [3] 朱致远. 大型水库滑坡稳定性受降雨的影响分析[J].建筑技术开发,2017,44(13):123-124. Zhu Z Y.Analysis on influence of landslide stability of large reservoir on rainfall[J].Build Technol Dev,2017,44(13):123-124. [4] 王焕,黄海峰.某水库滑坡在降雨作用下的稳定性模拟分析[J].三峡大学学报:自然科学版,2016,38(5):46-52. Wang H,Huang H F.Simulation analysis of reservoir landslide stability under rainfall condition[J].J China Three Gorges Univ:Nat Sci,2016,38(5):46-52. [5] 李再会,闫武,廖朝贵,等.重庆南川—武隆铝土矿矿物学、地球化学特征[J].沉积与特提斯地质,2012,32(3):87-100. Li Z H,Yan W,Liao C G,et al.Mineralogical and geochemical characteristics of the Nanchuan—Wulong bauxite deposit in Chongqing[J].Sediment Geol Tethyan Geol,2012,32(3):87-100. [6] 常晓军,王德伟,唐业旗.中国滑坡降雨试验的研究现状与发展趋势[J].沉积与特提斯地质,2010,30(1):98-102. Chang X J,Wang D W,Tang Y Q.Simulation experiments of the rainfall-induced landslides in China:insights and foresights[J].Sediment Geol Tethyan Geol,2010,30(1):98-102. [7] 万志杰. 不同蓄水速度条件下库区岸坡变形体渗流特征研究[J].三峡大学学报:自然科学版,2019,41(S1):145-149. Wan Z J.Seepage characteristics of bank slope deformable body in reservoir area under different water-storage speed condi-tions[J].J China Three Gorges Univ:Nat Sci,2019,41(S1):145-149. [8] 姚品品. 乌江白马航电枢纽羊角滩滑坡渗流场模拟[D].武汉:中国地质大学(武汉),2011. Yao P P.Seepage Field Simulation of Yang Jiao Tan Landslide[D].Wuhan:China University of Geosciences (Wuhan),2011. [9] Pradhan B,Lee S.Delineation of landslide hazard areas on Penang Island,Malaysia,by using frequency ratio,logistic regression,and artificial neural network models[J].Environ Earth Sci,2010,60(5):1037-1054. [10] Yilmaz I.A case study from Koyulhisar (Sivas-Turkey) for landslide susceptibility mapping by artificial neural networks[J].Bull Eng Geol Environ,2009,68(3):297-306.
2022, Vol. 9 
