Logo image
Distributed simulations of landslides for different rainfall conditions
Journal article   Peer reviewed

Distributed simulations of landslides for different rainfall conditions

A S Dhakal and Roy C Sidle
Hydrological Processes, Vol.18(4), pp.757-776
2004
url
https://doi.org/10.1002/hyp.1365View
Published Version

Abstract

slope stability groundwater rainstorms short-term rainfall intensity modelling safety factor soil depth hydraulic conductivity
A physically based distributed slope stability model is described that utilizes a combined surface-subsurface kinematic wave module to assess groundwater fluctuations related to slope stability. A total of 82 major rainstorms from 1972 to 1990 in Carnation Creek, British Columbia, were examined to determine the influence of different characteristics of rainstorms (such as mean and maximum hourly intensity, duration, and rainfall amount) on the slope stability. These rainstorms vary in mean intensity from 16 to 112 mm h-1, storm duration from 11 to 93 h, and maximum hourly intensity from 34 to 35 mm h-1. Four synthetic 'uniform intensity' rainstorms were also tested against real storms to assess the effect of short-term hourly rainfall intensity peaks on landslide occurrence. Altogether, 602 simulations were conducted. The combined influence of mean and maximum hourly intensity, duration, and total rainfall amount of rainstorms were important in generating landslides. The temporal distribution of short-term intensity also influenced the landslide occurrence. When saturated hydraulic conductivity of the soil was lowered or soil depth was raised, most rainstorms produced larger numbers of landslides. For the most part, actual rainstorms produced less stable conditions than their synthetic 'uniform intensity' counterparts. For all landslide-producing storms, slope failure usually occurred after some threshold of cumulative rainfall and maximum hourly rainfall intensity. These simulations provide insights into the distributed behaviour of landslide occurrence during large rainstorms with varying characteristics. Copyright © 2004 John Wiley and Sons, Ltd.

Details

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Web Of Science research areas
Water Resources

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#13 Climate Action

Source: InCites

Logo image