Potential landslide-prone areas in The Kelara sub-watershed using the analytical hierarchy process method

Abstract

Landslides are one of the geomorphological processes active in changing the shape of the earth’s surface. Landslides have an impact on life and the environment. This research will map the potential landslide-prone areas in The Kelara Sub-watershed using the Analytical Hierarchy Process (AHP) method. The method used in this research is the Analytical Hierarchy Process (AHP) method and the spatial analysis method. The potential for landslide-prone areas in The Kelara Sub-watershed has three potentials or levels of landslide vulnerability, namely low (2939.28 ha) (32.72%), medium (3082.78 ha) (34.32%), and high (2961.55 ha) (32.96%). Parameters that influence landslides in the Kelara Sub-watershed are slope parameters with a weight of 0.30 or a score of 30%.

Landslide Susceptibility Assessment of a Railway Based on GIS Application

“…A very high landslide susceptibility was located at kilometers 314+393 to 314+510 between Bumiayu Station and Kretek Station. This research [22] can be used as a reference for operators to carry out necessary soil improvements, especially for areas with a high potential for landslides.…”

“…Furthermore, a detailed investigation of the soil type, rainfall, land use, and especially slope inclination is needed to improve the accuracy of the models. The weighting of each parameter can also be improved by using the Analytical Hierarchy Method (AHP) to increase the precision of the prediction model[22] [23]. More parameters that can contribute to landslide vulnerability can also be added to the next model, such as slope aspect, altitude, curvature, solar radiation, topographic wetness index, and distance from rivers and roads[12].…”

Soil Micromorphology of Land Cover in Landslide Susceptibility Area in Kelara Subwatershed, Jeneponto, Indonesia

“…This triggered landslides and flash floods in Rumbia District in June, 2020. Data collected from various stations show that rainfall in Jeneponto Regency has significant variations between regions, namely, in dry areas, the rainfall is only around 1,049 mm/year, while in wet areas, the rainfall can reach 3,973 mm/year 12 .…”

Analisis Spasial Tekstur Tanah Terhadap Penilaian Risiko Bencana Hidrometeorologi di Kecamatan Rumbia-Kelara, Kabupaten Jeneponto

“…Wilayah hulu DAS Kelara di Kabupaten Jeneponto didominasi oleh pertanian hortikultura dan hanya sebagian kecil masih dalam bentuk hutan. Perubahan penggunaan lahan ke lahan permukiman juga menyebabkan tingginya beban lahan yang memicu kejadian longsor (Amin et al, 2021). Perubahan penggunaan lahan secara positif telah menimbulkan kejadian bencana longsor, banjir, dan banjir bandang yang telah menimbulkan banyak korban jiwa (Reichenbach, Busca, Mondini, & Rossi, 2014;Thi Pham, Nong, Sathyan, & Garschagen, 2020).…”

“…Curah hujan yang tinggi sehari sebelum kejadian bencana di Kecamatan Rumbia terjadi dengan intensitas yang tinggi (BNPB, 2020a) dan disertai dengan kejadian longsor pada salah satu perbukitan di sisi sungai Balang yang memicu kejadian banjir bandang. Curah hujan tahunan DAS Kelara di Kabupaten Jeneponto dapat mencapai 2550 mm/tahun (Amin et al, 2021) Kemiringan lereng termasuk salah satu faktor yang memicu meningkatnya aliran permukaan dan terjadinya longsor akibat intesitas curah hujan yang meningkat sehingga menimbulkan deformasi lereng yang meningkatkan kekuatan geser menjadi longsor dan memicu banjir bandang (Wu et al, 2015). Pola aliran sungai dominan paralel pada bagian hulu DAS (Gambar 1) mengakibatkan material longsor yang masuk ke tubuh sungai akan membendung sungai dan pada saat intensitas hujan meningkat dapat menimbulkan banjir bandang dengan volume aliran yang sangat besar.…”