Identification and Mapping of Landslide-Prone Areas in the Meninting Watershed Area, West of Lombok
DOI:
10.29303/jbt.v23i1.4493Published:
2023-02-07Downloads
Abstract
The Meninting Watershed (DAS) covers several areas in West Lombok Regency, Mataram City and a small part of North Lombok Regency. Characteristics of a very steep topographic watershed (DAS) triggers landslides. Landslide is the process of moving rock and soil masses from high places to lower places under the influence of gravity. Landslides can cause great physical damage and economic losses, therefore research on landslides is urgently needed. This study aims to identify and map landslide-prone areas in the Meninting Watershed. This study uses a geographic information system (GIS) approach, namely the overlay method (overlapping) and scoring (weighting). Some of the parameters used to assess the level of landslide vulnerability are slope, soil type, land cover rainfall and geological aspects. The level of landslide vulnerability is divided into 3 namely low, medium and high. The results showed that an area of 2,411.42 ha or around +20% of the area of the Meninting Watershed is a high-level landslide-prone area. The area that is included in the medium-level landslide-prone category is around 7,010.03 ha or + 57% of the Meninting Watershed area. Bukittinggi Village and Kekait Village, Gunungsari District, have the greatest potential for medium and high scale landslides.
Keywords:
landslide, meninting watershed, mitigation.References
Ahmad, A. (2022). Diterjang Banjir dan Tanah Longsor, 22 Keluarga di Lombok Barat Terisolasi. URL: https://www.beritasatu.com/news/990115/diterjang-banjir-dan-tanah-longsor-22-keluarga-di-lombok-barat-terisolasi
Çellek, S. (2020). Effect of the slope angle and its classification on landslides. Natural Hazzards and Earth System Sciences, 43(1), 85–95. DOI: https://doi.org/https://doi.org/10.5194/nhess-2020-87
Darwis, M. R., Uca, U., & Yusuf, M. (2021). Pemetaan Zonasi Daerah Rawan Bencana Longsor Berbasis Sistem Informasi Geografis Di DAS Jeneberang Kabupaten Gowa. Jurnal Environmental Science, 3(April), 1–8. DOI: https://doi.org/https://doi.org/10.35580/jes.v3i2.20080
Departemen Pekerjaan Umum. Direktorat Jenderal Penataan Ruang. Pedoman Penataan Ruang Kawasan Rawan Bencana Longsor (Peraturan Menteri Pekerjaan Umum No. 22/PRT/M/2007), Pub. L. No. Peraturan Menteri Pekerjaan Umum No. 22/PRT/M/2007, 148 (2007). Indonesia.
Farida, B. (2021). Rawan Banjir dan Longsor, 16 Desa di Gunungsari Butuh Alat Pendeteksi. Lombokpost.Jawapos.Com. URL: https://lombokpost.jawapos.com/giri-menang/21/12/2021/rawan-banjir-dan-longsor-16-desa-di-gunungsari-butuh-alat-pendeteksi/
Hermawan, E. (2009). Analisis Perilaku Curah Hujan di Atas Kototabang Saat Bulan Basah dan Bulan Kering. In Prosiding Seminar Nasional Penelitian, Pendidikan dan Penerapan MIPA. Fakultas Mipa, Universitas Negeri Yogyakarta 16 Mei 2009 (pp. 415–424).
Jaya, R., & Rijal, A. S. (2020). Mapping of Landslide Hazard Distribution in Alo Watershed Gorontalo Regency. Jambura Geoscience Review, 2(1), 30–40. DOI: https://doi.org/10.34312/jgeosrev.v2i1.2671
Kementerian Energi dan Sumber Daya Mineral. (2009). Tanah Longsor di Lombok Disebabkan oleh Tingginya Curah Hujan. URL: https://www.esdm.go.id/id/media-center/arsip-berita/tanah-longsor-di-lombok-disebabkan-oleh-tingginya-curah-hujan
Krisnandi, R., Trianda, O., Rizqi, A., Febby, L., & Hanafi, M. (2021). Identifikasi Kawasan Rawan Bencana Longsor Metode Skoring Daerah Mojotengah dan Sekitarnya, Kecamatan Reban, Kabupaten Batang, Provinsi Jawa Tengah. Prosiding Nasional Rekayasa Teknologi Industri Dan Informasi XVI (ReTII), 2021(November), 501–508.
Kunu, P. J., & Luhukay, M. (2018). Prediksi Daerah Rawan Longsor Pada Kawasan Pengembangan Jalan Nasional Pulau Sanana di Maluku Utara. Jurnal Budidaya Pertanian, 14(1), 47–54. DOI: https://doi.org/https://doi.org/10.30598/jbdp.2018.14.1.47
Kurniawan, E. A., Tohari, A., & Permanajati, I. (2018). Model Kerentanan Gerakan Tanah Wilayah Kecamatan Cililin Menggunakan Trigrs. RISET Geologi Dan Pertambangan, 28(2), 167. DOI: https://doi.org/10.14203/risetgeotam2018.v28.969
Meneses, B. M., Pereira, S., & Reis, E. (2019). Effects of different land use and land cover data on the landslide susceptibility zonation of road networks. Natural Hazards and Earth System Sciences, 19(3), 471–487. DOI: https://doi.org/10.5194/nhess-19-471-2019
Muhari, A. (2022). Sebanyak 5 KK Mengungsi Hindari Longsor di Wilayah Kabupaten Lombok Barat. URL: https://bnpb.go.id/berita/sebanyak-5-kk-mengungsi-hindari-longsor-di-wilayah-kabupaten-lombok-barat
Priyono, P. (2015). Hubungan Klasifikasi Longsor, Klasifikasi Tanah Rawan Longsor Dan Klasifikasi Tanah Pertanian Rawan Longsor. Gema, 27(49), 1602–1617.
Sitepu, F., Selintung, M., & Harianto, T. (2017). Pengaruh Intensitas Curah Hujan dan Kemiringan Lereng Terhadap Erosi Yang Berpotensi Longsor. Jurnal Penelitian Enjiniring, 21(1), 23–27. DOI: https://doi.org/10.25042/jpe.052017.03
Sittadewi, E. H. (2022). Characteristics and Potensial of Vetiver Grass (Chrysopogon zizanioides) for Slope Reinforcement and Erosion Mitigation. Jurnal Sains Dan Teknologi Mitigasi Bencana, 16(2), 65–70. DOI: https://jppipa.unram.ac.id/index.php/jpmpi/article/view/2650
Taufik, M., Kurniawan, A., & Putri, A. R. (2016). Identifikasi Daerah Rawan Tanah LOngsor Menggunakan SIG (Sistem Informasi Geografis). Jurnal Teknik ITS, 5(2), 78–82.
Tukidi. (2010). Karakter Curah Hujan di Indonesia. Jurnal Geografi, 7(2), 136–145.
Virgota, A., Farista, B., Suripto, Jupri, A., Julisaiah, N. I., & Muspiah, A. (2022). Sosialisasi Pemanfaatan Rumput Vetiver (Chrysopogon zizanioides) Dalam Mitigasi Bencana Longsor di Desa Gelangsar, Kabupaten Lombok Barat. Jurnal Pendidikan Magister Pendidikan IPA, 5(4), 438–441. DOI: https://doi.org/10.29303/jpmpi.v5i4.2650
Wafid, Muhammad., Sugiyanto., Pramudyo, Tulus., S. (2014). Resume Hasil Kegiatan Pemetaan Geologi, 0–7.
Zhong, C., Li, C., Gao, P., & Li, H. (2021). Discovering vegetation recovery and landslide activities in the wenchuan earthquake area with landsat imagery. Sensors, 21(15), 1–16. DOI: https://doi.org/10.3390/s21155243
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