Identification of Landslide Vulnerability Levels in Songan B Village, Kintamani District, Bangli, Using the Wenner Geoelectric Resistivity Configuration Method
Abstract
Landslides are the movement of slope-forming material in the form of rocks, debris, soil, or mixed materials that move down or off the slope; this occurs due to high intensity rain on the sliding surface. This research aims to determine the level of landslide vulnerability in Songan B village, Kintamani Bangli sub-district, namely by knowing the structure of the soil layers in landslide-prone areas and knowing the coordinates and depth of the slip plane in the village using the Wenner configuration geoelectric method. Determination of the slip area is obtained based on the difference in resistivity values. The research used three different locations with four trajectories. Resistivity data processing was carried out using Res2dinv software. The interpretation results show that the structure of the soil layers in landslide-prone locations in Songan B Village, Kintamani District, Bangli at locations I, II, and III consist of clay, silt, sand, sandstone, basalt or granite, and andesite. Location I, with coordinates 115°25'1.28"E 8°12'59.92"S-115°25'0.78"E 8°12'58.79"S, there is a slip area with a depth of around 5 m. At location II with coordinates 115°25'6.62"E 8°13'9.14"S-115°25'8.68"E 8°13'9.03"S there is a slip area with a depth of 2-3 m. At location III track 1 with coordinates 115°25'25.45"E 8°13'36.22"S-115°25'28.15"E 8°13'37.77"S there is a slip area with a depth of 4-15 m. At location III track 2 with coordinates 115°25'26.28"E 8°13'36.06"S-115°25'28.43"E 8°13'36.88"S there is a slip plane with a depth of 3-8 m. The material that acts as a sliding plane on the four tracks is sandstone which has a resistivity value of 200-8000 ?m.
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References
[2] S. Triutomo, dan T. W.Sudinda, Indeks Rawan Bencana Indonesia, Badan Nasional Penanggulangan Bencana, Jakarta. 2011.
[3] N. Janna, Identifikasi Struktur Batuan Daerah Rawan Longsor Di Kecamatan Camba Kabupaten Maros Berdasarkan Metode Geolistrik Konfigurasi Wenner (Skripsi), Fakultas Sains dan Teknologi Uin Alauddin Makassar, Makassar. 2017.
[4] Kementrian Energi Dan Sumber Daya Mineral, 2017, Galeri Pusat Vulkanologi dan Mitigasi Bencana Geologi, http://vsi.esdm.go.id/gallery/index.php?/category/14/start-30, [diakses pada tanggal 24 Januari 2019].
[5] A. Perrone, P. Sabatino, and L. Vincenzo, Electrical Resistivity Tomographies For Landslide Monitoring: a Review, Berichte Geol. B.-A.93.ISSN 1017-8880. 2012.
[6] Nurhidayah, Aplikasi Metode Geolistrik Untuk Mengetahui Pencemaran Limbah Pabrik di Sekitar Sungai di Daerah Genuk, Skripsi, Jurusan Fisika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Semarang, 2013.
[7] W.M. Telford, L.P. Geldart, R.E. Sheriff, In Applied Geophysics 2nd ed. Cambrodge: University Press, 1990, pp. 522-577.
[8] A.R. Anindya, Hidrostratigraf Akuifer dan Estimasi Potensi Airtanah Bebas Guna Mendukung Kebutuhan Air Domestik Desa Sembungan, Majalah geografi Indonesia, Fakultas Geografi Universitas Gadjah Mada, Vol. 32 No. 1, 2018, pp 108-114.
[9] Irhamni, S. Pandia, E. Purba, W. Hasan, Kandungan Logam Berat pada Air Lindai tempat Pembuangan Akhir (TPA) Sampah Kota banda Aceh, Prosiding Seminar Nasional Pascasarjanan (SNP) Unsyiah, Banda Aceh, Vol. 13, April 2017, pp. 19-22.
[10] Arbain, NK Mardana, IB Sudana, pengaruh Air Lindai Tempat Pembuangan Sampah Suwung terhadap Kualitas Air Tanah Dangkal di Sekitarnya di Kelurahan Pedungan Kota Denpasar, Ecotrophic, 2012, Vol. 3 No. 2, pp. 55-60.
