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Rainfall Infiltration Model and Stability of Slopes Considering Spatial Variability of Initial Volumetric Water Content in Soil(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2025年第03期
Page:
344-355
Research Field:
黄河流域生态保护和高质量发展专刊(上)
Publishing date:

Info

Title:
Rainfall Infiltration Model and Stability of Slopes Considering Spatial Variability of Initial Volumetric Water Content in Soil
Author(s):
MA Yi-an1*;  LEI Yun2;  TANG Hao-jie3;  HU Zhi-ping4;  LIU Yi-zhen2;  YAO Yi-de2;  LI Yong5
(1.Xi'an-Chengdu Railway Passenger Dedicated Line Shaanxi Co.,Ltd.,Xi'an 710043,Shaanxi,China; 2.China Railway Construction Bridge Engineering Bureau Group Co.,Ltd.,Tianjin 300300,China; 3.China Railway City Development and Investment Group Co.,Ltd.,Chengdu 610213,Sichuan,China; 4.School of Civil Engineering,Chang'an University,Xi'an 710061,Shaanxi,China; 5.Shaanxi National Railway Engineering Consulting Management Co.,Ltd.,Xi'an 710038,Shaanxi,China)
Keywords:
slope;  rainfall infiltration;  modified Green-Ampt model;  volumetric water content;  stability;  wetting front;  seepage
PACS:
TU44
DOI:
10.19814/j.jese.2024.09048
Abstract:
Rainfall infiltration analysis in slopes plays a crucial role in predicting and preventing rainfall-induced landslides. While the classical Green-Ampt(GA)model with its clear physical significance and minimal parameters has been widely adopted for infiltration analysis, it fails to adequately address slope infiltration problems involving spatial variability of volumetric water content. To overcome this limitation, a modified GA model, called SR-GA model, was developed to diverse rainfall infiltration scenarios by comprehensively considering the spatial variability of initial volumetric water content, coupled with saturated layer seepage and air pressure effects during infiltration; a corresponding stability coefficient calculation framework was established. The results show that the SR-GA model, solved using the variable-step composite Cotes method, achieves computational simplicity while maintaining good agreement with existing analytical solutions and numerical simulations, confirming its validity; compared with conventional models, the SR-GA model exhibits enhanced universality and broader applicability; the spatial distribution pattern of initial volumetric water content significantly influences wetting front advancement, with trapezoidal and exponential distributions showing nonlinear depth-time relationships, contrasting with the linear progression under uniform distribution; as a critical factor determining slope failure timing, non-uniform water content distributions lead to markedly reduce stability coefficients and substantially earlier failure occurrences compared to homogeneous conditions.

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Last Update: 2025-06-20