A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas

Kanungo, Debi Prasanna; Arora, Manoj K.; Sarkar, Sutanu; Gupta, Ravi P.

doi:10.1016/j.enggeo.2006.03.004

Cited by 509 publications

(260 citation statements)

References 30 publications

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“…Elshayeb 2005). Recently, Saboya et al (2006) and Kanungo et al (2006) both used fuzzy logic for assessing landslide susceptibility. Let us consider the concept of membership function, which defines how each element x of the input space X (also named "universe of discourse") is mapped to a degree of membership (denoted µ).…”

Section: Managing Expert Uncertainty (Step 3)mentioning

confidence: 99%

Managing expert-information uncertainties for assessing collapse susceptibility of abandoned underground structures

Nachbaur¹,

Rohmer²

2011

Engineering Geology

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Assessing the collapse susceptibility of abandoned cavities at a regional scale is associated with large uncertainties that are mainly related to the very nature of the phenomena, but also to the difficulty in collecting exhaustive information at such a scale on often "forgotten" structures. In this context, the expert's role is essential, because he is able to synthesize the information resulting from the inventory and from the commonly imprecise, if not vague, criteria on the basis of his experience and his knowledge of the regional geological and historical and economic context. In this article, we propose mathematical tools for representing and processing this information in order to give flexibility to this step and manage the uncertainty inherent in the expert's information. The first tool, based on the weight of evidence theory, is for managing the uncertainty due to the heterogeneous spatial distribution of the data, whereas the second tool, based on the fuzzy set theory, is for managing the imprecision and incompleteness of available data, which hinder the definition of the class boundaries of the quantitative decision criteria. Based on an appropriate representation of the uncertainty sources (related to the input data and to the expert diagnostic), we then propose a methodology that integrates the uncertainty in the final output of the collapse susceptibility assessment and provides a confidence indicator useful within the decision-making process. The proposed methodology is applied to the Arras territory in the North of France, where abandoned chalk pits (dating back to the Roman ages) and war saps (i.e. covered trenches) located in the vicinity of the First World War front lines both raise difficulties for urban planning

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Section: Managing Expert Uncertainty (Step 3)mentioning

confidence: 99%

Managing expert-information uncertainties for assessing collapse susceptibility of abandoned underground structures

Nachbaur¹,

Rohmer²

2011

Engineering Geology

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“…Thus, the equal interval method was chosen as the most appropriate function for the study area (e.g. Dai et al 2001;Kanungo et al 2006;Akgun and Türk 2010;Dragićević et al 2015). In the end, the following susceptibility classes were obtained: very low (interval 0.00 to 0.18), low (0.18 to 0.36), moderate (0.36 to 0.54), high (0.54 to 0.73), and very high (0.73 a 0.91).…”

Section: Combination Of Landslide Conditioning Factorsmentioning

confidence: 99%

Multi-Criteria Analysis Applied to Landslide Susceptibility Mapping

Brito

Weber

Filho

2017

Rev. Bras. Geomorfol.

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Abstract:This paper presents the application of a multi-criteria analysis (MCA) tool for landslide susceptibility assessment in Porto Alegre municipality, southern Brazil. A knowledge driven approach was used, aiming to ensure an optimal use of the available information. The landslide conditioning factors considered were slope, lithology, fl ow accumulation and distance from lineaments. Standardization of these factors was done through fuzzy membership functions, and evaluation of their relative importance for landslide predisposition was supported by the analytic hierarchy process (AHP), based on local expert knowledge. Finally, factors were integrated in a GIS environment using the weighted linear combination (WLC) method. For validation, an inventory, including 107 landslide points recorded between 2007 and 2013 was used. Results indicated that 8.2% (39.40 km²) of the study area are highly and very highly susceptible to landslides. An overall accuracy of 95% was found, with an area under the receiver operating characteristic (ROC) curve of 0.960. Therefore, the resulting map can be regarded as useful for monitoring landslide-prone areas. Based on the fi ndings, it is concluded that the proposed method is eff ective for susceptibility assessment since it yielded meaningful results and does not require extensive input data. Resumo: Informações sobre o ArtigoEste estudo apresenta a aplicação de uma ferramenta de análise multi-critério para mapear a suscetibilidade a escorregamentos no município de Porto Alegre, sul do Brasil. Uma abordagem guiada pelo conhecimento de especialistas foi utilizada, com o intuito de otimizar a utilização das informações disponíveis. Os fatores condicionantes dos escorregamentos considerados foram declividade, litologia, acúmulo defl uxo e distância de lineamentos. A padronização desses fatores foi realizada por meio da aplicação de funções fuzzy e a importância relativa de cada um na predisposição do terreno a escorregamentos foi estabelecida com o apoio da técnica AHP (Analytic Hierarchy Process), com base no conhecimento de especialistas locais. Por fi m, a integração dos fatores em ambiente SIG se deu por meio do método denominado Combinação Linear Ponderada (WLC). Para validar os resultados, utilizou-se um mapa inventário contendo 107 cicatrizes de escorregamentos, registradas entre 2007 e 2013. Os resultados indicam que 8,2% (39,38 km²) da área de estudo possui uma suscetibilidade alta e muito alta a escorregamentos. A validação dos resultados obteve uma exatidão geral de 95%, com uma área abaixo da curva ROC (Receiver Operating Characteristic) de 0,960. Portanto, o mapa obtido pode ser considerado útil para monitorar as áreas propensas a esses processos. Com base nos resultados, conclui-se que o método proposto é efi caz para a avaliação da suscetibilidade, uma vez que os resultados obtidos são robustos e que não foi necessária uma quantidade extensa de dados de entrada.

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“…The role of GIS in mass movement studies in respect of theory and methods has been discussed by Alexander (2008). Studies by Gorsevski et al (2003Gorsevski et al ( , 2005, Kanungo et al (2006), Chung and Fabbri (2008 and utilized the fuzzy set model to generate a landslide hazard prediction map. figure 1(b)).…”

Section: Geomatics Of Landslide Hazard Susceptibility Zonationmentioning

confidence: 99%

Fuzzy gamma based geomatic modelling for landslide hazard susceptibility in a part of Tons river valley, northwest Himalaya, India

Srivastava

Lakhera

2010

Geomatics, Natural Hazards and Risk

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Himalaya, being an active orogen, is continuously undergoing tectonic activities that pose threats of land stability on the mountains. A large number of mass movement occurrences have been observed in a part of the Tons river valley area. Remote sensing and geographical information system (GIS) based techniques have been used to derive and analyse various parameters and attributes pertinent to the landslide hazards. The GIS based analysis in the present work, incorporating the fuzzy membership values from the existing landslides, has been used for spatial modelling of the parameter maps including geology, slope amount, slope aspect, weathering, erosion, drainage influence, tectonic influence and landuse/land cover for landslide hazard zonation. The model has been used to spatially classify the study area into zones of very high, high, moderate, low and very low landslide hazard zones. Eighty-five percent of the active landslides have been observed to occur in very high and high hazard zones.

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A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas

Cited by 509 publications

References 30 publications

Managing expert-information uncertainties for assessing collapse susceptibility of abandoned underground structures

Managing expert-information uncertainties for assessing collapse susceptibility of abandoned underground structures

Multi-Criteria Analysis Applied to Landslide Susceptibility Mapping

Fuzzy gamma based geomatic modelling for landslide hazard susceptibility in a part of Tons river valley, northwest Himalaya, India

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