Identification of Landslide Prone Areas Using Slope Morphology Method in South Leitimur District, Ambon City

Nadhi Sugandhi, S. Supriatna, H. Rakuasa
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引用次数: 3

Abstract

South Leitimur District is one of the districts in Ambon City where landslides often occur, and this disaster causes many losses. One of the mitigation efforts is mapping areas with the potential for landslides to determine their distribution and risks. This study aims to apply the slope morphology method to identify landslide-prone areas in South Leitimur Regency. This study uses a Digital Elevation Model (DEM) extracted into the shape of slopes and slopes and processed using ArcGIS 10.8 software. This study uses the slope morphology method or SMORPH to identify and classify areas with potential landslides based on the matrix between the slope's shape and angle. The results of the study were classified into four classes of landslide potential, namely very low potential with an area of 2,489, 53 ha, low with an area of 3,278, 22 ha, medium with an area of 672, 32 ha, and high with an area of 685, 67 ha. Hutumury Village is a village that has the largest landslide potential area in each class of landslide potential in the South Leitimur District; this is because this village is a village that has the most significant area compared to other villages. The village that has a low landslide potential is Ema Village. The results of this study also illustrate that the higher the slope with convex or concave slopes, the higher the potential for landslides. The results of this study are expected to help the government of South Leitimur Regency in efforts to mitigate landslides in the future.
利用边坡形态学方法识别安汶市南莱蒂穆尔区滑坡易发区
南莱蒂穆尔区是安汶市经常发生山体滑坡的地区之一,这场灾难造成了许多损失。缓解措施之一是绘制可能发生山体滑坡的区域地图,以确定其分布和风险。本研究旨在应用边坡形态学方法来识别南雷蒂穆尔县的滑坡易发区。本研究使用提取到斜坡和斜坡形状中的数字高程模型(DEM),并使用ArcGIS 10.8软件进行处理。本研究使用边坡形态学方法(SMORPH),根据边坡形状和角度之间的矩阵,对潜在滑坡区域进行识别和分类。研究结果分为四类滑坡潜力,即面积为2489、53公顷的极低潜力、3278、22公顷的低潜力、672、32公顷的中等潜力和685、67公顷的高潜力。Hutumury村是南雷铁木尔区各类滑坡潜力中滑坡潜力面积最大的一个村庄;这是因为与其他村庄相比,这个村庄的面积最大。滑坡可能性较低的村庄是埃玛村。这项研究的结果还表明,具有凸起或凹陷斜坡的斜坡越高,发生滑坡的可能性就越高。这项研究的结果预计将有助于南莱蒂穆尔县政府在未来缓解山体滑坡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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8 weeks
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