Stability Evaluation of Slope Under Heavy Rainfall Based on Geometric Features

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Stability Evaluation of Slope Under Heavy Rainfall Based on Geometric Features

Earth sciences Natural disasters Soil and rock mechanics

Authors: Yujing Jiang, Xun Li

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Collection: Springer Natural Hazards

Language: English

Published by: Springer

Published on: 27th May 2026

Format: LCP-protected ePub

ISBN: 9789819586561


Introduction

This book presents a systematic framework for evaluating slope stability under short-term heavy rainfall by integrating numerical simulation with GIS-based analysis.

Key Aspects

It covers several key aspects, including the simulation of heterogeneous weathered soils in FLAC3D and experimental approaches for determining the hydraulic properties of unsaturated soils.

In addition, it addresses unsaturated seepage and slope stability analysis under rainfall conditions using FLAC3D, as well as GIS-based assessment of rainfall-induced landslide susceptibility.

Innovations

Unlike conventional GIS-based regional stability assessment methods that rely on simplified infiltration models, such as the Green–Ampt (GA) model or the one-dimensional Richards equation, this book introduces a novel geometric indicator, the Slope Surface Roughness Coefficient (SSRC), to quantitatively characterize the influence of three-dimensional slope geometry on stability.

Organization

The book is organized as follows.

Chapters

Chapter 1 reviews recent advances in slope stability analysis under rainfall conditions.

Chapter 2 presents physical model tests of rainfall-induced slope failure.

Chapter 3 introduces the theoretical framework and governing equations.

Chapters 4 and 5 provide numerical simulations of rainfall-triggered slope failures in the Kyushu region of Japan.

Chapters 6 and 7 describe a methodology for regional slope stability assessment under heavy rainfall based on the SSRC of three-dimensional (3D) slopes.

Target Audience

This book is intended for geotechnical engineers engaged in disaster prevention and mitigation under heavy rainfall, as well as researchers interested in combining numerical modeling and GIS techniques for geotechnical engineering applications.

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