Landslides triggered by the 8 October 2005 Kashmir earthquake

Owen, Lewis A.; Kamp, Ulrich; Khattak, Ghazanfar A.; Harp, Edwin L.; Keefer, Donald A.; Bauer, Mark A.

doi:10.1016/j.geomorph.2007.04.007

Cited by 358 publications

(171 citation statements)

References 10 publications

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“…The landslide distribution indicated that most of the landslides occurred along the seismogenic fault, concentrated on the hanging wall. Owen et al (2008) reported that earthquake-triggered landslides concentrated in specific zones were associated with the lithology, tectonic, geomorphology, and topography as well as with human activities.…”

Section: Introductionmentioning

confidence: 99%

Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis

et al. 2013

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Section: Introductionmentioning

confidence: 99%

Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis

et al. 2013

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“…Consequently, some areas can remain isolated for days or weeks. For example, the Jhelum Valley in Pakistan after the 2005 Kashmir earthquake (Petley et al, 2006;Owen et al, 2008;Mahmood et al, 2015) and the Rasuwa and Upper Bhote Kosi valleys after the 2015 Nepal earthquakes were left isolated by landsliding, leaving the status of thousands of households largely unknown as the wider response effort gained pace.…”

Section: What Limits the Time Needed To Produce A Useful Landslide Asmentioning

confidence: 99%

Satellite-based emergency mapping using optical imagery: experience and reflections from the 2015 Nepal earthquakes

Williams

Rosser

Kincey

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Landslides triggered by large earthquakes in mountainous regions contribute significantly to overall earthquake losses and pose a major secondary hazard that can persist for months or years. While scientific investigations of coseismic landsliding are increasingly common, there is no protocol for rapid (hours-to-days) humanitarian-facing landslide assessment and no published recognition of what is possible and what is useful to compile immediately after the event. Drawing on the 2015 M w 7.8 Gorkha earthquake in Nepal, we consider how quickly a landslide assessment based upon manual satellite-based emergency mapping (SEM) can be realistically achieved and review the decisions taken by analysts to ascertain the timeliness and type of useful information that can be generated. We find that, at present, many forms of landslide assessment are too slow to generate relative to the speed of a humanitarian response, despite increasingly rapid access to high-quality imagery. Importantly, the value of information on landslides evolves rapidly as a disaster response develops, so identifying the purpose, timescales, and end users of a post-earthquake landslide assessment is essential to inform the approach taken. It is clear that discussions are needed on the form and timing of landslide assessments, and how best to present and share this information, before rather than after an earthquake strikes. In this paper, we share the lessons learned from the Gorkha earthquake, with the aim of informing the approach taken by scientists to understand the evolving landslide hazard in future events and the expectations of the humanitarian community involved in disaster response.

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“…Landslide distribution is strongly affected by seismicity and especially by ground acceleration, while magnitude-distance relations have been established for earthquake induced landslides [48]. Previous studies emphasized the need of incorporating dynamic factors (Seismicity, Rainfall) with other -static‖ factors for Landslide Susceptibility Zonation mapping in areas whereas these factors are playing an important role not only in the reactivation of old landslides but in the development of new ones [49,50].…”

Section: Datamentioning

confidence: 99%

GIS Supported Landslide Susceptibility Modeling at Regional Scale: An Expert-Based Fuzzy Weighting Method

Chalkias¹,

Ferentinou

Polykretis

2014

IJGI

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Abstract:The main aim of this paper is landslide susceptibility assessment using fuzzy expert-based modeling. Factors that influence landslide occurrence, such as elevation, slope, aspect, lithology, land cover, precipitation and seismicity were considered. Expert-based fuzzy weighting (EFW) approach was used to combine these factors for landslide susceptibility mapping (Peloponnese, Greece). This method produced a landslide susceptibility map of the investigated area. The landslides under investigation have more or less same characteristics: lateral based and downslope shallow movement of soils or rocks. The validation of the model reveals, that predicted susceptibility levels are found to be in good agreement with the past landslide occurrences. Hence, the obtained landslide susceptibility map could be acceptable, for landslide hazard prevention and mitigation at regional scale.

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Landslides triggered by the 8 October 2005 Kashmir earthquake

Cited by 358 publications

References 10 publications

Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis

Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis

Satellite-based emergency mapping using optical imagery: experience and reflections from the 2015 Nepal earthquakes

GIS Supported Landslide Susceptibility Modeling at Regional Scale: An Expert-Based Fuzzy Weighting Method

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