Deviana Shinta Maulana, I. Indrawan, I. W. Warmada
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引用次数: 0
摘要
东翁加兰(East Ungaran)是印度尼西亚三宝垄地区的滑坡易发区之一。为了提供更详细的滑坡易发性地图,本研究旨在比较三种广泛使用的方法,即证据权重法(WoE)、逻辑回归法(LR)和证据权重法-逻辑回归法(LR)在绘制滑坡易发性地图方面的性能。坡度、海拔、岩性、土地利用、归一化差异植被指数(NDVI)、与线状体的距离、与河流的距离和与道路的距离被视为研究区域的滑坡控制参数,并被用作滑坡易发性分区的输入变量。结果表明,坡度、海拔高度和与道路的距离是造成滑坡的重要参数。研究区域被划分为极低、低、中和高滑坡易发区。在预测该地区的滑坡易发性方面,WoE 方法的性能优于 LR 方法,而 WoE-LR 组合方法的性能则是三种方法中最好的。建议将使用 WoE-LR 组合方法绘制的滑坡易发性地图用于该地区的滑坡缓解规划。
Landslide susceptibility mapping in East Ungaran, Indonesia: A comparative study using statistical methods
East Ungaran, is one of landslide prone areas in Semarang Regency, Indonesia. In addition to provide a more detail map of landslide susceptibility, the objective of this research was to compare performance of three widely used methods, which are the Weight of Evidence (WoE), Logistic Regression (LR) and combined Weight of Evidence (WoE) – Logistic Regression (LR), for landslide susceptibility mapping. Slope, elevation, lithology, land use, normalized difference vegetation index (NDVI), distance from lineament, distance from river, and distance from road were considered as landslide controlling parameters in the research area and were used as input variables in the landslide susceptibility zonation. The results showed that the slope, elevation, and distance from the road are significant parameters causing the landslides. The research area is divided into very low, low, moderate, and high landslide susceptibility zones. The WoE performs better than the LR, while the combined WoE-LR method performs the best among the three methods in predicting landslide susceptibility in this area. The landslide susceptibility map developed using the combined WoE-LR method is suggested to be used for landslide mitigation planning of this area.