Use of Geomorphological Information in Indirect Landslide Susceptibility Assessment

Westen, C.J. van; Rengers, N.; Soeters, R.

doi:10.1023/b:nhaz.0000007097.42735.9e

Cited by 620 publications

(380 citation statements)

References 10 publications

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“…As we move more than 200 m away from the main stream, it is very likely that we are already in areas of the mountains where the slope is usually steep. This will not be a problem if only three intervals of DD (<25, 25-50, and >50 m) are used, such as in van Westen et al (2003). But, if a large number of intervals are specified to increase the resolution of DD, we would see that the region with larger DD would also have a steeper slope.…”

Section: Region-based Factor Of Total Fluxmentioning

confidence: 99%

“…For example, the proximity to a drainage pattern has been considered as a contributing factor to landslide occurrence, as streams can adversely affect the stability of the adjacent slope by eroding the toe and/or saturating the slope (Gökceoglu and Aksoy 1996). The drainage distance factor, DD, expressed as concentric multi-ringed buffer zones based on the distance of each cell from the main stream, has thus been utilized to capture this effect in LSM (Fourniadis et al 2007;van Westen et al 2003). However, using DD buffers implies that all cells within the same buffer zone have the same landslide susceptibility.…”

Section: Introductionmentioning

confidence: 99%

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A new region-based preparatory factor for landslide susceptibility models: the total flux

Liu

Luo

Chen³

et al. 2015

Landslides

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This paper presents a new region-based preparatory factor, total flux (TF), for landslide susceptibility models (LSMs). TF takes into account the topography and hydrology conditions upstream of each gridded data cell and represents the total flux of water in the stream. The results show that TF is strongly associated with the occurrence of landslides and is a good preparatory factor for LSM. Using TF instead of a drainage distance factor in I-Lan region in Taiwan shows an improvement in the accuracy of the cumulative percentage of landslide occurrence of 44 and 14 % for the top 1 and 10 % susceptible areas, respectively. This significant improvement in accuracy in these high-risk areas is critical for preventing and mitigating the economic and human losses due to landslides.

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Section: Region-based Factor Of Total Fluxmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new region-based preparatory factor for landslide susceptibility models: the total flux

Liu

Luo

Chen³

et al. 2015

Landslides

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“…By definition, landslide susceptibility is a nontemporal concept that refers to locations where landslides preferentially occur (Guzzetti et al 2005;Varnes 1984), whereas landslide hazard describes the likelihood of landslide occurrence in time and space Varnes 1984) along with the magnitude of landslide occurrence . Landslide susceptibility and hazard have been studied using qualitative (Barredo et al 2000;Ruff and Czurda 2008;Van Westen et al 2003) and quantitative (Godt et al 2008;Guzzetti et al 2005;Lan et al 2004;Remondo et al 2003;Van Westen et al 1997;Van Westen and Terlien 1996;Yeon et al 2010) approaches.…”

Section: Introductionmentioning

confidence: 99%

Do landslides follow landslides? Insights in path dependency from a multi-temporal landslide inventory

Samia¹,

Temme

Bregt³

et al. 2016

Landslides

151

109

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Landslides are a major category of natural disasters, causing loss of lives, livelihoods and property. The critical roles played by triggering (such as extreme rainfall and earthquakes), and intrinsic factors (such as slope steepness, soil properties and lithology) have previously successfully been recognized and quantified using a variety of qualitative, quantitative and hybrid methods in a wide range of study sites. However, available data typically do not allow to investigate the effect that earlier landslides have on intrinsic factors and hence on follow-up landslides. Therefore, existing methods cannot account for the potentially complex susceptibility changes caused by landslide events. In this study, we used a substantially different alternative approach to shed light on the potential effect of earlier landslides using a multitemporal dataset of landslide occurrence containing 17 time slices. Spatial overlap and the time interval between landslides play key roles in our work. We quantified the degree to which landslides preferentially occur in locations where landslides occurred previously, how long such an effect is noticeable, and how landslides are spatially associated over time. We also investigated whether overlap with previous landslides causes differences in landslide geometric properties. We found that overlap among landslides demonstrates a clear legacy effect (path dependency) that has influence on the landslide affected area. Landslides appear to cause greater susceptibility for follow-up landslides over a period of about 10 years. Follow-up landslides are on average larger and rounder than landslides that do not follow earlier slides. The effect of earlier landslides on follow-up landslides has implications for understanding of the landslides evolution and the assessment of landslide susceptibility.

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“…The model employed in mapping the hazards was a data-driven bivariate hazard mapping model (see [16,30]). The various parameters (predisposition factors) involved in the realization of the hazard map are rock type, soil type, land cover, slope dipping, slope orientation, nature (size) of river and proximity to river (see [31][32][33][34], and references therein).…”

Section: Methodsmentioning

confidence: 99%

“…Many different types of landslide hazard zonation techniques have been developed over the last decades, and the difficulty lies in the weighting the factors [32,[56][57][58][59][60]. In this paper, the parameters were weighted as follows: the model builder was used in the ArcGIS 10.1 software and all the environmental settings were checked such as processing extent, raster analysis and cell size.…”

Section: Combining Hazard Parametersmentioning

confidence: 99%

Geohazards (floods and landslides) in the Ndop plain, Cameroon volcanic line

et al. 2016

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Abstract:The Ndop Plain, located along the Cameroon Volcanic Line (CVL), is a volcano-tectonic plain, formed by a series of tectonic movements, volcanic eruptions and sedimentation phases. Floods (annually) and landslides (occasionally) occur with devastating environmental effects. However, this plain attracts a lot of inhabitants owing to its fertile alluvial soils. With demographic explosion in the plain, the inhabitants (143,000 people) tend to farm and inhabit new zones which are prone to these geohazards. In this paper, we use field observations, laboratory analyses, satellite imagery and complementary methods using appropriate software to establish hazard (flood and landslide) maps of the Ndop Plain. Natural factors as well as anthropogenic factors are considered. The hazard maps revealed that 25% of the area is exposed to flood hazard (13% exposed to high flood hazard, 12% to moderate) and 5% of the area is exposed to landslide hazard (2% exposed to high landslide hazard, 3% to moderate). Some mitigation measures for floods (building of artificial levees, raising foundations of buildings and the meticulous regulation of the flood guards at Bamendjing Dam) and landslides (slope terracing, planting of trees, and building retaining walls) are proposed.

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Use of Geomorphological Information in Indirect Landslide Susceptibility Assessment

Cited by 620 publications

References 10 publications

A new region-based preparatory factor for landslide susceptibility models: the total flux

A new region-based preparatory factor for landslide susceptibility models: the total flux

Do landslides follow landslides? Insights in path dependency from a multi-temporal landslide inventory

Geohazards (floods and landslides) in the Ndop plain, Cameroon volcanic line

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