Preliminary investigation of some large landslides triggered by the 2008 Wenchuan earthquake, Sichuan Province, China

Wang, Fawu; Cheng, Qiangong; Highland, Lynn M.; Miyajima, Masakatsu; Wang, Huabin; Yan, Changgen

doi:10.1007/s10346-009-0141-z

Cited by 140 publications

(39 citation statements)

References 2 publications

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“…Only the powerful seismic shaking, particularly the forceful vertical ground seismic wave acceleration during the Sichuan earthquake and many strong aftershocks (Li et al, 2008), could trigger such extensive slope failures around mountain peaks or crests. A similar landslide distribution pattern was also observed by other investigators who have done extensive field surveys (Yin et al, 2009;Wang et al, 2009) or used remote sensing (Sato and Harp, 2009). …”

Section: Spatial Distribution Of Landslidessupporting

confidence: 84%

Using multi-temporal remote sensor imagery to detect earthquake-triggered landslides

Yang

Chen

2010

International Journal of Applied Earth Observation and Geoinfor

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a b s t r a c tLandslides are a major type of geohazards claiming thousands of casualties and billions of dollars in property damages every year. Catastrophic landslide activities are often triggered by some extreme events such as earthquakes, excessive precipitations, or volcanic eruptions. Quickly identifying the spatial distribution of landslides induced by these extreme events is crucial for coordinating rescue efforts and planning in situ investigations. In this study, we propose an automated method for detecting the spatial distribution of earthquake-triggered landslides by examining after-event vegetation changes. Central to this method is the use of pre-and post-event remote sensor images covering the same area. Geometric correction and radiometric normalization are performed before deriving a vegetation index from each image. Then, an image differencing procedure is applied to the two derived indices. With the resultant difference image, an initial landslide distribution map is generated by highlighting the pixels with a threshold percentage decrease in the brightness values as a direct result of the image subtraction. The threshold percentage value is interactively determined by using a visual interpretation method. The final landslide distribution map is produced after using a modal filter to suppress boundary errors in the initial map. This method has been implemented in a test site, approximately 30 km from the epicenter of the Sichuan earthquake (7.9 Ms) that struck on 12 May 2008. A pre-event Thematic Mapper image and a post-event Advanced Spaceborne Thermal Emission and Reflection Radiometer scene are used. The thematic accuracy assessment indicates that 90% of the landslides have correctly been mapped. Given the relatively simple procedures and the good mapping accuracy, the image processing and change detection method identified in this study seems to be promising from an operational perspective.

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Section: Spatial Distribution Of Landslidessupporting

confidence: 84%

Using multi-temporal remote sensor imagery to detect earthquake-triggered landslides

Yang

Chen

2010

International Journal of Applied Earth Observation and Geoinfor

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“…During a rain storm, a portion of an unstable hill (< 500 m) collapsed, sending mud and debris across the rural neighborhood killing 2, damaging agricultural farms and covering an area of approximately 1.3 km 2 . Recognition, identification and mechanisms of such landslides has received intense study (Wei et al 1993;Sassa 1998;Aleotti 2004;Wang et al 2005Wang et al , 2009Sassa et al 2004;Wang and Sassa 2010), however a few studies have attempted a systemic evaluation and grouping of landslides according to their geologic origin. While landslide susceptibility maps attempt to delineate areas with potential for future failures, they appear silent on the distinctive features locality can impact on slope movements.…”

Section: Introductionmentioning

confidence: 99%

The geotechnical characteristics of landslides on the sedimentary and metamorphic terrains of South-East Nigeria, West Africa

Igwe

2015

GEOENVIRON DISASTERS

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Background: Landslides in Nigeria occur in various forms and vary in mode, scale and frequency. The variations appear to be significantly controlled by geologic setting, hence the need to study in detail the distinctive features that differentiate landslides in sedimentary environments from those on metamorphic localities. The aim is to understand the actual features impacted on the landslides by geology, from which future predictions of occurrence and identification of instability could be based. The recognition of features that are characteristic of certain geologic setting may be a major step in early warning development in Nigeria. To achieve the objectives detailed mapping of the study area was carried out using topographic maps, aerial photographs and multiple field surveys.

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“…This increases the need to evaluate the level of medical preparedness in different regions and to apply the findings when estimating casualties or planning disaster responses for future events. Another issue related to casualty rates and to the delay in providing medical aid is disruption to transportation infrastructure as a result of an earthquake, which may cause roadway-related injuries and hamper efforts to evacuate casualties to hospitals (Schultz, et al 1996;Chan et al 2006;Wang et al 2009). This issue was not addressed in this current study, but needs to be investigated and considered further when planning for an earthquake scenario.…”

Section: Discussionmentioning

confidence: 99%

Integrating epidemiological and engineering approaches in the assessment of human casualties in earthquakes

et al. 2015

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Earthquakes pose substantial risks of human health. Preparedness and mitigation strategies can reduce earthquake-related injuries and deaths and information from casualty models that predict earthquake outcomes can help communities prepare. This study identifies epidemiologic and medical risk factors for earthquake casualties, and compares them with engineering casualty models for the purpose of providing evidence that integrates these approaches. It aims to improve earthquake casualty modeling and to offer better accurate estimations. Epidemiological studies that used analytical designs and reported risk factors related to earthquake-induced casualties and studies that examined the association between medical preparedness and earthquake-induced casualties were reviewed. Engineering casualty estimation models were reviewed to identify which risk factors were considered in the models. Epidemiological studies identified the following risk factors: gender, age, socioeconomic status, physical disability and human behavior. Medical preparedness factors were also related to earthquake-induced injury and death. Global casualty estimation models do not currently consider these factors. This study provides evidence that integrating demographic and socioeconomic characteristics of the population and levels of medical preparedness into the existing casualty estimation models may improve their accuracy.

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Preliminary investigation of some large landslides triggered by the 2008 Wenchuan earthquake, Sichuan Province, China

Cited by 140 publications

References 2 publications

Using multi-temporal remote sensor imagery to detect earthquake-triggered landslides

Using multi-temporal remote sensor imagery to detect earthquake-triggered landslides

The geotechnical characteristics of landslides on the sedimentary and metamorphic terrains of South-East Nigeria, West Africa

Integrating epidemiological and engineering approaches in the assessment of human casualties in earthquakes

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