Comparing Heuristic and Bivariate GIS-Based Methods for Refining Landslide Susceptibility Maps in Northern Mexico City

Concha-Dimas, Aline; Campos-Vargas, Milagros; López-Miguel, Celia

doi:10.2113/gseegeosci.13.4.277

Cited by 4 publications

(2 citation statements)

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“…Many studies have been undertaken to assess susceptibility to landslides through heuristic, deterministic, and statistical approaches (Carrara et al, 1995;Wu and Sidle, 1995;Gökceoglu and Aksoy, 1996;Van Westen and Terlien, 1996;Atkinson and Massari, 1998;Pachauri et al, 1998;Van Westen, 2000;Dai et al, 2001;Van Westen et al, 2003;Xie et al, 2004;Zêzere et al, 2004;Concha-Dimas et al, 2007;Neuhauser and Terhorst, 2007;Dahal et al, 2008a). A heuristic approach is a direct or qualitative approach completely based on field observations and an expert's priori knowledge.…”

Section: Introductionmentioning

confidence: 99%

Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA

2010

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Section: Introductionmentioning

confidence: 99%

Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA

2010

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“…Qualitative methods were used extensively during the 1970s and 1980s (Aleotti & Chowdhury 1999) and include field geomorphological analysis (e.g. Rupke et al 1988;Concha-Dimas et al 2007;Kouli et al 2010) and the use of index or parameter maps (heuristic) (e.g. Soeters & Van Westen 1996;Van Westen & Lulie 2003;Gomes et al 2005).…”

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confidence: 99%

Chapter 13 Landslides on São Miguel Island (Azores): susceptibility analysis and validation of rupture zones using a bivariate GIS-based statistical approach

Marques

Amaral

Araújo

et al. 2015

Memoirs

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Since settlement of São Miguel Island in the middle of the fifteenth century, several destructive landslides have occurred. These have been triggered by various factors, of which rainfall is the most common. Between 1900 and 2008, based on extensive documentary evidence, 193 landslide events with socio-economic impact have been identified. These events have been responsible for 67 deaths, about 20 people have been seriously injured, and dozens of houses destroyed and people rendered homeless. In this chapter, the Information Value Method is used to produce a landslide rupture susceptibility map for São Miguel. Success and prediction rate curves (SRC and PRC) are computed and areas under the curve (AUC) calculated in order to not only support the results of modelling, but also assess the robustness of the suggested susceptibility algorithm. Twelve predisposing factors are used as independent variables and a total of 9890 landslide depletion areas are used as the dependent variable. The AUC for both the SRC and the PRC was 0.90. The methodology used for the construction of the susceptibility map was shown to be both accurate and reliable. The map is an important tool for land-use/emergency planning and for landslide risk mitigation.

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Landslide-susceptibility mapping in a semi-arid mountain environment: an example from the southern slopes of Sierra Nevada (Granada, Spain)

Jiménez-Perálvarez

Irigaray

Hamdouni

et al. 2010

Bull Eng Geol Environ

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Comparing Heuristic and Bivariate GIS-Based Methods for Refining Landslide Susceptibility Maps in Northern Mexico City

Cited by 4 publications

References 4 publications

Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA

Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA

Chapter 13 Landslides on São Miguel Island (Azores): susceptibility analysis and validation of rupture zones using a bivariate GIS-based statistical approach

Landslide-susceptibility mapping in a semi-arid mountain environment: an example from the southern slopes of Sierra Nevada (Granada, Spain)

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