基于信息价值模型方法的Purworejo滑坡危险性制图

Sudaryatno Sudaryatno, P. Widayani, T. W. Wibowo, Bagus Wiratmoko, Wahyu Nurbandi
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引用次数: 1

摘要

位于印度尼西亚中爪哇的Purworejo地区容易发生山体滑坡。这是一种经常发生在山区的自然灾害,因此需要进行滑坡危害分析以制定减灾战略。本文详细阐述了利用信息价值模型(Information Value Model, IVM)进行滑坡灾害制图的循证统计方法。分析采用坡度、坡向、高程、降雨量、NDVI、河流距离、路网距离、断层距离等参数,基于栅格数据环境进行分析,因为像素是表示连续数据最合适的手段。利用二次数据和卫星图像解译相结合的方法收集滑坡证据数据,识别老滑坡。结合滑坡处置相关因素和19次滑坡发生的数据,成功地计算出了IVM。这些结果帮助绘制了普尔沃雷霍区北部和东部的滑坡易感性图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach
Purworejo District, which is located in Central Java, Indonesia, is prone to landslides. These are a natural hazard that often occur in mountainous areas, so landslide hazard analysis is needed to develop mitigation strategies. This paper elaborates on the use of an evidence-based statistical approach using the Information Value Model (IVM) to conduct landslide hazard mapping. The parameters of slope, aspect, elevation, rainfall, NDVI, distance from rivers, distance from the road network, and distance from faults were employed for the analysis, which was conducted based on a raster data environment, since the pixel is the most appropriate means to represent continuous data. Landslide evidence data were collected by combining secondary data and interpreting satellite imagery to identify old landslides. The IVM was successfully calculated by combining factors related to disposition to landslides and data on 19 landslide occurrences. The results helped produce a landslide susceptibility map for the northern and eastern parts of Purworejo District.
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CiteScore
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