基于人工神经网络的腾格力克本东干地区滑坡运动

Q3 Environmental Science

Environmental Research, Engineering and Management Pub Date : 2023-10-13 DOI:10.5755/j01.erem.79.3.33628

Didik Taryana, Rudi Hartono, Dicky Arinta, Agus Purnomo, Ike Sari Astuti

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引用次数: 0

摘要

滑坡是印尼东爪哇省，特别是丁加勒县本敦干地区经常发生的灾害之一。对本东干地区滑坡易感性进行分析，对滑坡发生地点进行空间定位。本研究的目的是利用人工神经网络预测滑坡事件。降雨、地形、土壤物理性质和土地利用被用作解释变量。采用层次分析法确定各变量的权重。该模型对滑坡灾害进行了满意的分类，曲线下面积为0.96。本东干区西北地区为滑坡高危区，降雨和土壤质地是诱发滑坡的最重要因素。

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Landslide Movement of Bendungan District Trenggalek Using an Artificial Neural Network

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.

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来源期刊

Environmental Research, Engineering and Management Environmental Science-Environmental Engineering

CiteScore

2.40

自引率

0.00%

发文量

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.