An integrated analysis framework for predicting surface runoff, infiltration, and slope stability

J. Guan, C. M. Mok, A. T. Yeung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Buildup of pore-water pressure due to water infiltration during an extreme rainfall event is a major cause of many landslides worldwide. A competent simulation model can greatly contribute to the reliable landslide prediction and prevention. Infiltration is transient, dependent on subsurface conditions, surface runoff characteristics, and rainfall hyetograph. However, conventional analysis commonly relies on the assumptions of infiltration rate and/or water table location, which cannot be determined reliably a priori. In this paper, an integrated analysis framework for prediction of surface runoff, infiltration, pore water pressure, and geomechanical stresses is presented. A fully coupled groundwater-surface water interaction numerical model, HydroGeoSphere, is used to compute the transient surface runoff and subsurface pore-water pressure responses due to rainfall simultaneously without the need to make assumptions about the infiltration rate. Therefore, rainfall hyetograph can be used directly as an input parameter in the numerical model. The computed pore-pressure as a function of time is used as input to slope stability analysis using finite element methods. A simplified example based on a full-scale instrumented slope in Hong Kong is presented to illustrate the integrated framework. The subsurface profile, soil properties, and boundary conditions were taken from the data obtained from a site investigation. A range of rainfall conditions was analyzed to evaluate the validity of some of the assumptions commonly made in conventional analysis approach.

Original languageEnglish
Title of host publicationGeo-Congress 2014 Technical Papers
Subtitle of host publicationGeo-Characterization and Modeling for Sustainability - Proceedings of the 2014 Congress
PublisherAmerican Society of Civil Engineers (ASCE)
Pages2588-2599
Number of pages12
Edition234
ISBN (Print)9780784413272
DOIs
StatePublished - 2014
Event2014 Congress on Geo-Characterization and Modeling for Sustainability, Geo-Congress 2014 - Atlanta, GA, United States
Duration: 23 Feb 201426 Feb 2014

Publication series

NameGeotechnical Special Publication
Number234
ISSN (Print)0895-0563

Conference

Conference2014 Congress on Geo-Characterization and Modeling for Sustainability, Geo-Congress 2014
Country/TerritoryUnited States
CityAtlanta, GA
Period23/02/1426/02/14

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