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A case study from Koyulhisar (Sivas-Turkey) for landslide susceptibility mapping by artificial neural networks

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Abstract

A case study for the use of an artificial neural network (ANN) model for landslide susceptibility mapping in Koyulhisar (Sivas-Turkey) is presented. Digital elevation model (DEM) was first constructed using ArcGIS software. Relevant parameter maps were created, including geology, faults, drainage system, topographical elevation, slope angle, slope aspect, topographic wetness index, stream power index, normalized difference vegetation index and distance from roads. Finally, a landslide susceptibility map was constructed using the neural networks. The drawbacks of the method are discussed but as the validation procedures used confirmed the quality of the map produced, it is recommended the use of ANN may be helpful for planners and engineers in the initial assessment of landslide susceptibility.

Résumé

Une étude de cas relative à l’utilisation d’un modèle de réseaux de neurones artificiels (ANN) pour la cartographie de la susceptibilité aux glissements de terrain à Koyulhisar (Sivas – Turquie) est présentée. Un modèle numérique de terrain (DEM) a d’abord été construit avec le logiciel ArcGIS. Les cartes de paramètres adéquates ont été créées, comportant la géologie, les failles, le système de drainage, les cotes topographiques, les pentes des terrains, la morphologie des pentes, l’indice d’humidité de surface, l’indice d’érosivité des cours d’eau, l’indice de végétation normalisé et les distances aux routes. Finalement, une carte de susceptibilité aux glissements a été construite à partir de réseaux de neurones. Les difficultés liées à ce type de méthode sont discutées mais, comme les procédures de validation utilisées ont confirmé la qualité de la carte produite, il est recommandé aux aménageurs et aux ingénieurs d’utiliser l’ANN dans les évaluations préliminaires de susceptibilité aux glissements de terrain.

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  1. Department of Geological Engineering, Faculty of Engineering, Cumhuriyet University, 58140, Sivas, Turkey

    Işık Yilmaz

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  1. Işık Yilmaz
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Yilmaz, I. A case study from Koyulhisar (Sivas-Turkey) for landslide susceptibility mapping by artificial neural networks. Bull Eng Geol Environ 68, 297–306 (2009). https://doi.org/10.1007/s10064-009-0185-2

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