Preliminary soil-slip susceptibility maps, southwestern California

Morton, Douglas M.; Alvarez, Rachel M.; Campbell, Russell H.; Bovard, Kelly R. Digital preparation by; Brown, Devin; Corriea, K.M.; Lesser, J.N.

doi:10.3133/ofr0317

Cited by 16 publications

(19 citation statements)

References 4 publications

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“…However, Scheidegger (1973) and Hsü (1975), comparing landslide volumes with tan(AOR) for a large variety of landslides, indicated that this negative correlation only exists for landslides above 1×10 5 m 3 to 0.5×10 6 m 3 . This argument was supported by Okura et al (2003), who found no significant correlation between landslide volume and tan(AOR) for translational landslides between 1×10 2 to 1.5×10 3 m 3 . Thus the non significant correlation between AOR and landslide volume in this paper is believed to be caused by the relatively small landslide volumes <1.5×10 4 m 3 (Table 1).…”

Section: Discussionsupporting

confidence: 71%

“…The plateau mainly consists of three tholeiitic basalt formations which are built up of numerous lava flows (Rasmussen and Noe-Nygaard, 1969a). In the study area, the parent material consists of the middle basalt formation (Malinstindur Formation), and the upper basalt formation (Enni Formation), respectively (Rasmussen and Noe-Nygaard, 1969b;Passey and Bell, 2007). The upper part of the Malinstindur Formation which make up the parent material from sea level to app.…”

Section: Study Areamentioning

confidence: 99%

“…Qualitative approaches include landslide inventory mapping or expert evaluation (Malgot and Mahr, 1979;Ives and Messerli, 1981;Rupke et al, 1988;Wachal and Hudak, 2000;Morton et al, 2003;Sarkar and Anbalagan, 2008), while quantitative approaches can be divided into mechanistic (Terlien et al, 1995;Wu and Sidle, 1995;Alcantara-Ayala, 2004;Collins and Znidarcic, 2004;Dahl, 2007) and statistical methods Domínguez-Cuesta et al, 2007;Guinau et al, 2007;Magliulo et al, 2008). Mapping landslide initiation susceptibility by the use of expert evaluation is the qualitative approach most broadly used (He and Beighley, 2008), and is also the method chosen for this paper.…”

Section: Introductionmentioning

confidence: 99%

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A simple qualitative approach for mapping regional landslide susceptibility in the Faroe Islands

Dahl

Mortensen

Veihe

et al. 2010

Nat. Hazards Earth Syst. Sci.

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Abstract. The Faroe Islands in the North Atlantic Ocean are highly susceptible to landslides. Following recent landslide incidents, Jarðfeingi (Faroese Earth and Energy Directorate) has pointed out, that the risk of human lives or of property being lost or affected by landslides may be increasing. This paper aims at presenting and testing a simple qualitative approach for mapping regional landslide susceptibility in the Faroe Islands, using few key parameters. The susceptibility model holds information about both landslide initiation areas and runout zones. Landslide initiation areas are determined from slope angle thresholds (25 • -40 • ) and soil cover data, while runout zones are delineated using the angle of reach approach taking into account the presence/absence of geological benches in the runout path, which has not been considered in earlier studies. Data input is obtained from a landslide database containing 67 debris flows throughout the Faroe Islands. Angle of reach values differ significantly with the presence/absence of geological benches in the runout path. Two values of angle of reach, 21.5 • and 27.6 • , are used for calculating runout zones. The landslide susceptibility model is tested in a study area at the town of Klaksvík in the northern part of the Faroe Islands. A map validation comparing predicted susceptibility zones with a validation-dataset of 87 actual landslides in the study area reveal that 69% and 92%, respectively, of actual landslide initiation areas and runout zones are correctly predicted. Moreover 87% of the actual landslides are included in the overall predicted landslide susceptibility areas.Correspondence to: M.-P. J. Dahl (mpjd@ruc.dk)

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Section: Discussionsupporting

confidence: 71%

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A simple qualitative approach for mapping regional landslide susceptibility in the Faroe Islands

Dahl

Mortensen

Veihe

et al. 2010

Nat. Hazards Earth Syst. Sci.

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“…For example, this type of methodology has been applied to determine soil slip susceptibility maps of the territory of south-western California (Morton et al 2003). Maps of California show empirically the forecast of the triggering location of these phenomena on the basis of two types of information: the location where soil slip has occurred in the past and the use of Digital Elevation Models (DEM) of inventoried areas for their spatial characterization.…”

Section: Introductionmentioning

confidence: 99%

Rainfall-induced shallow landslides: a model for the triggering mechanism of some case studies in Northern Italy

2009

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The article relates the main findings of a recent investigation aimed at modeling the triggering of shallow landslides. A simplified model for assessing the safety factor of potentially unstable slopes, directly related with rainfall trends, was developed. Based on the geometric characteristics of the slope, the geotechnical properties, and strength parameters of the soil, the model makes it possible to define a safety factor of a slope as a function of time. The model is based on the limit equilibrium method and takes into account the seepage of underground water. The safety factor is, in turn, related to the seasonal rainfall. The model was applied on a local scale to some historical cases which had occurred recently in Northern Italy. The paper shows how the results of the application of the model on a local scale achieve a good agreement between the instability condition and the real date of each considered event.

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“…2,3]. Susceptibility maps usually answer one of three important questions when dealing with debris flow: where debris flows will occur?…”

Section: Introductionmentioning

confidence: 99%

Predicting debris flow susceptible areas through GIS modelling in Aparados da Serra (Brazil)

Strieder¹,

Buffon²,

Quadros³

et al. 2008

WIT Transactions on Engineering Sciences

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This paper aims to present the results of a GIS modelling to predict debris flow susceptible areas in the Aparados da Serra region (Brazil). The region shows a 1000 m high scarp located close to Atlantic Ocean in southern Brazil. The scarp is developed upon sandstones (Botucatu Fm.) and basalts and dacites (Serra Geral Fm.) of the Paraná Basin, after the break-up of the Gondwana Supercontinent and the opening of the South Atlantic Ocean. It is a topographic barrier to convective clouds migrating from ocean to the continent, mainly in spring and summer seasons. Geologic, geomorphologic, geotechnical mapping were conducted in order to enable GIS data modelling for debris flow in the region. The prediction of areas susceptible to debris flow along the scarp was based upon USPED algorithms. However, some changes were introduced into USPED algorithms in order to model debris flows in this region. The GIS modelling results distinguished susceptible areas for erosion and deposition of the debris, according the modified USPED procedures. These results were compared with a large debris flow event occurred in December 1995, and also recent small scale and localized debris flow events. All these observed debris flows show good correlation with predicted area of occurrence. Thus, it can be concluded that such GIS modelling can be applied to predict areas susceptible for erosion and deposition of debris related to concentrated convective storms.

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Preliminary soil-slip susceptibility maps, southwestern California

Cited by 16 publications

References 4 publications

A simple qualitative approach for mapping regional landslide susceptibility in the Faroe Islands

A simple qualitative approach for mapping regional landslide susceptibility in the Faroe Islands

Rainfall-induced shallow landslides: a model for the triggering mechanism of some case studies in Northern Italy

Predicting debris flow susceptible areas through GIS modelling in Aparados da Serra (Brazil)

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