Mapping of hazard from rainfall-triggered landslides in developing countries: Examples from Honduras and Micronesia

Harp, Edwin L.; Reid, Mark E.; McKenna, Jonathan P.; Michael, John A.

doi:10.1016/j.enggeo.2008.11.010

Cited by 70 publications

(34 citation statements)

References 30 publications

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“…Shallow landslides are very common in steep mountainous regions where they often constitute a major risk factor for human activities (Glade, 1998;Singh et al, 2005;Claessens et al, 2007;Salciarini et al, 2008;Gullà et al, 2008;Deb and El-Kadi, 2009;Harp et al, 2009). Their occurrence, often triggered by exceptional rainfall or earthquakes, can involve large regions with a huge numbers of events.…”

Section: Introductionmentioning

confidence: 99%

Landslide susceptibility assessment in the Peloritani Mts. (Sicily, Italy) and clues for tectonic control of relief processes

Guidi

Scudero

2013

Nat. Hazards Earth Syst. Sci.

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Abstract. Many destructive shallow landslides hit villages in the Peloritani Mountains area (Sicily, Italy) on 1 October 2009 after heavy rainfall. The collection of several types of spatial data, together with a landslide inventory, allows the assessment of the landslide susceptibility by applying a statistical technique. The susceptibility model was validated by performing an analysis in a test area using independent landslide information, the results being able to correctly predict more than 70% of the landslides. Furthermore, the susceptibility analysis allowed the identification of which combinations of classes, within the different factors, have greater relevance in slope instability, and afterwards associating the most unstable combinations (with a short–medium term incidence) with the endogenic processes acting in the area (huge regional uplift, fault activity). Geological and tectonic history are believed to be key to interpreting morphological processes and landscape evolution. Recent tectonic activity was found to be a very important controlling factor in landscape evolution. A geomorphological model of cyclical relief evolution is proposed in which endogenic processes are directly linked to superficial processes. The results are relevant both to risk reduction and the understanding of active geological dynamics.

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Section: Introductionmentioning

confidence: 99%

Landslide susceptibility assessment in the Peloritani Mts. (Sicily, Italy) and clues for tectonic control of relief processes

Guidi

Scudero

2013

Nat. Hazards Earth Syst. Sci.

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“…The amount of rainfall varies with time (Ng and Shi 1998), and with time varying infiltration, the porewater pressure rises/falls above impervious bedrock. This rise/fall (transient behaviour) of porewater pressure often controls hillslope instability (Reid and Iverson 1992), but it is difficult to estimate the transient porewater pressure information required for the slope stability analysis of hillslopes (Harp et al 2009 following form:…”

Section: Model Selectionmentioning

confidence: 99%

“…In the deterministic methods, on the other hand, the causal factors are expressed in algebraic terms to determine the factor of safety (Terlien et al 1995;Wu and Sidle 1995;Borga et al 1998;D'Odorico and Fagherazzi 2003;Godt et al 2008;Salciarini et al 2008;Harp et al 2009). These approaches utilize a large amount of detailed geo-mechanical and hydrological parameters derived from field and laboratory experiments, and computer tool-based modelling.…”

Section: Introductionmentioning

confidence: 99%

Deterministic slope failure hazard assessment in a model catchment and its replication in neighbourhood terrain

Acharya

Yatabe

Bhandary

et al. 2014

Geomatics, Natural Hazards and Risk

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In this work, we prepare and replicate a deterministic slope failure hazard model in small-scale catchments of tertiary sedimentary terrain of Niihama city in western Japan. It is generally difficult to replicate a deterministic model from one catchment to another due to lack of exactly similar geo-mechanical and hydrological parameters. To overcome this problem, discriminant function modelling was done with the deterministic slope failure hazard model and the DEM-based causal factors of slope failure, which yielded an empirical parametric relationship or a discriminant function equation. This parametric relationship was used to predict the slope failure hazard index in a total of 40 target catchments in the study area. From ROC plots, the prediction rate between 0.719-0.814 and 0.704-0.805 was obtained with inventories of September and October slope failures, respectively. This means September slope failures were better predicted than October slope failures by approximately 1%. The results show that the prediction of the slope failure hazard index is possible, even in a small catchment scale, in similar geophysical settings. Moreover, the replication of the deterministic model through discriminant function modelling was found to be successful in predicting typhoon rainfall-induced slope failures with moderate to good accuracy without any use of geo-mechanical and hydrological parameters.

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“…Human and economic losses generated by landslides occur every year in all countries; however, the impact of landslides varies considerably according to the local geological conditions and socio-economic vulnerability [1,2]. Although landslides do represent changes in terrain morphology ABSTRACT: Landslides are one of the main causes of global human and economic losses.…”

Section: Introductionmentioning

confidence: 99%

A comparison of linear and nonlinear model performance of shia_landslide: a forecasting model for rainfall-induced landslides

Aristizábal

Vélez

Martinez-Carvajal

2016

Rev. Fac. Ing. Univ. Antioquia

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Mapping of hazard from rainfall-triggered landslides in developing countries: Examples from Honduras and Micronesia

Cited by 70 publications

References 30 publications

Landslide susceptibility assessment in the Peloritani Mts. (Sicily, Italy) and clues for tectonic control of relief processes

Landslide susceptibility assessment in the Peloritani Mts. (Sicily, Italy) and clues for tectonic control of relief processes

Deterministic slope failure hazard assessment in a model catchment and its replication in neighbourhood terrain

A comparison of linear and nonlinear model performance of shia_landslide: a forecasting model for rainfall-induced landslides

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