Didik Taryana, Rudi Hartono, Dicky Arinta, Agus Purnomo, Ike Sari Astuti
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引用次数: 0
Abstract
Landslide is one of the disasters that often occurs in Indonesia in the East Java Province, especially in Bendungan District, Trenggalek Regency. Analysis of landslide susceptibility in Bendungan District is needed to spatially locate the landslide occurrences. The purpose of this study was to predict landslide events using an artificial neural network. Rainfall, topography, physical soil properties, and land-use were used as the explanatory variables. An analytic hierarchy process approach was applied to determine the weight of the variables. The model satisfactorily classified the landslide hazards with an area under curve of 0.96. The northwest area of the Bendungan District was found to be a region at high risk with rainfall and soil texture as the most influential parts in triggering the landslides.
期刊介绍：
First published in 1995, the journal Environmental Research, Engineering and Management (EREM) is an international multidisciplinary journal designed to serve as a roadmap for understanding complex issues and debates of sustainable development. EREM publishes peer-reviewed scientific papers which cover research in the fields of environmental science, engineering (pollution prevention, resource efficiency), management, energy (renewables), agricultural and biological sciences, and social sciences. EREM’s topics of interest include, but are not limited to, the following: environmental research, ecological monitoring, and climate change; environmental pollution – impact assessment, mitigation, and prevention; environmental engineering, sustainable production, and eco innovations; environmental management, strategy, standards, social responsibility; environmental economics, policy, and law; sustainable consumption and education.
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