Assessment of debris-flow susceptibility at medium-scale in the Barcelonnette Basin, France

Kappes, Mélanie; Malet, Jean-Philippe; Remaître, Alexandre; Horton, Pascal; Jaboyedoff, Michel; Bell, Rainer

doi:10.5194/nhess-11-627-2011

Cited by 90 publications

(87 citation statements)

References 34 publications

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“…Empirical models [4,5] often need to be calibrated through small areas where past events exist before they could be used for a whole region. In fact, to establish a practical empirical model, large datasets are necessary.…”

Section: Introductionmentioning

confidence: 99%

Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm

Wang

Chen

et al. 2017

Water

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Debris flows in the Wudongde dam area, China could pose a huge threat to the running of the power station. Therefore, it is of great significance to carry out a susceptibility analysis for this area. This paper presents an application of the rock engineering system and fuzzy C-means algorithm (RES_FCM) for debris flow susceptibility assessment. The watershed of the Jinsha River close to the Wudongde dam site in southwest China was taken as the study area, where a total of 22 channelized debris flow gullies were mapped by field investigations. Eight environmental parameters were selected for debris flow susceptibility assessment, namely, lithology, watershed area, slope angle, stream density, length of the main stream, curvature of the main stream, distance from fault and vegetation cover ratio. The interactions among these parameters and their weightings were determined using the RES method. A debris flow susceptibility map was produced by dividing the gullies into three categories of debris flow susceptibility based on the susceptibility index (SI) using the FCM algorithm. The results show that the susceptibility levels for nine of the debris flow gullies are high, nine are moderate and four are low, respectively. The RES based K-means algorithm (RES_KM) was used for comparison. The results suggest that the RES_FCM method and the RES_KM method provide very close evaluation results for most of the debris flow gullies, which also agree well with field investigations. The prediction accuracy of the new method is 90.9%, larger than that obtained by the RES_KM method (86.4%). Therefore, the RES_FCM method performs better than the RES_KM method for assessing the susceptibility of debris flows.

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Section: Introductionmentioning

confidence: 99%

Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm

Wang

Chen

et al. 2017

Water

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“…This software uses a GIS-based approach that couples an automatic detection of the source areas and a simple assessment of the debris flow spreading (Kappes et al 2011). Flow-R attempts to give an insight of existing or potential new susceptibility zones without any notion of intensity or occurrence probability in a regionally scale with limited data.…”

Section: Methods Using Flow Routing Modelsmentioning

confidence: 99%

ASCHFLOW - A dynamic landslide run-out model for medium scale hazard analysis

Luna

Blahůt

Asch

et al. 2016

Geoenviron Disasters

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Background: Landslides hazard analyses entail a scale-dependent approach in order to mitigate accordingly the damages and other negative consequences at the respective scales of occurrence. Medium or large scale landslide run-out modelling for many possible landslide initiation areas has been a very difficult task in the past. This arises from the inability of the run-out models to compute the displacement with a large amount of individual initiation areas as it turns out to be computationally strenuous. Most of the existing physically based run-out models have difficulties in handling such situations. For this reason, empirical methods have been used as a practical mean to predict landslides mobility at a medium scale (1: 10,000 to 1: 50,000). They are the most widely used techniques to estimate the maximum run-out distance and affected zones not only locally but also regionally. In this context, a medium scale numerical model for flow-like mass movements in urban and mountainous areas was developed.

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“…ROC analysis are commonly used to validate susceptibility landslide models (Beguería, 2006;Kappes et al, 2011) and it is based on confusion matrices. The principles 15 used in theses analyses can also be applied to validate the rainfall thresholds (e.g.…”

Section: Rainfall Triggering Thresholds Assessment and Validationmentioning

confidence: 99%

Regional rainfall thresholds for landslide occurrence using a centenary database

Vaz¹,

Zêzere²,

Pereira³

et al. 2017

Preprint

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Abstract. This work proposes a comprehensive methodology to assess rainfall thresholds for landslide initiation, using a centenary landslide database associated with a single centenary daily rainfall dataset. The methodology is applied to the Lisbon region and include the rainfall return period analysis that was used to identify the critical rainfall combination 10 (quantity-duration) related to each landslide event. The spatial representativeness of the reference rain gauge is evaluated and the rainfall thresholds is assessed and validated using the receiver operating characteristic (ROC) metrics.Results show that landslide events located up to 10 km from the rain gauge can be used to calculate the rainfall thresholds in the study area; however, such thresholds may be used with acceptable confidence up to 50 km distance from the rain gauge.The obtained rainfall thresholds using linear and potential regression have a good performance in ROC metrics. However, 15 the intermediate thresholds based on the probability of landslide events, established in the zone between the lower limit threshold and the upper limit threshold are much more informative as they indicate the probability of landslide event occurrence given rainfall exceeding the threshold. This information can be easily included in landslide early warning systems, especially when combined with the probability of rainfall above each threshold.

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Assessment of debris-flow susceptibility at medium-scale in the Barcelonnette Basin, France

Cited by 90 publications

References 34 publications

Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm

Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm

ASCHFLOW - A dynamic landslide run-out model for medium scale hazard analysis

Regional rainfall thresholds for landslide occurrence using a centenary database

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