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

*Asmita Ahmad orcid scopus  -  Department of Soil Science, Agriculture Faculty , Hasanuddin University, Indonesia
Meutia Farida orcid scopus publons  -  Fakultas Teknik, Universitas Hasanuddin, Makassar, Indonesia
Nirmala Juita orcid scopus  -  Fakultas Pertanian, Universitas Hasanuddin, Makassar, Indonesia
Open Access Copyright (c) 2022 Jurnal Wilayah dan Lingkungan
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Abstract
Soil texture is one of the keys to answering various soil susceptibility problems to hydrometeorological disasters in South Sulawesi. Some research results show a positive response related to the relationship between soil texture and hydrometeorological natural disasters. However, the spatial analysis of soil texture distribution in an area has not been widely associated with hydrometeorological disasters. This research aims to conduct spatial analysis related to the role of soil texture in hydrometeorological disasters (landslides and flash floods) with a case study in Kelara Watershed, Rumbia-Kelara District, Jeneponto Regency. In the topsoil and subsoil layers, samples were taken by purposive sampling in the Kelara watershed. Texture analysis was carried out using the hydrometer method, the distribution model of the soil texture fraction using the inverse distance weighting method, and the disaster risk assessment using the weighting method with field calculator. The dominant land use in the Kelara watershed is mixed dryland agriculture on a slope class of 25-45%. The dominance of soil texture in the Kelara watershed is the texture of silty clay loam to silty clay. The dominant clay fraction distribution in the upstream part of the Kelara watershed is 37.15-49.71%, so it has a reasonably high soil expansion power and can increase surface runoff. The distribution of silty fraction in the Kelara watershed area is evenly distributed in the upstream and central parts of the Kelara watershed area at 48.49-59.71%, causing the soil to be easily dispersed and triggering landslides-flashfloods. The level of susceptibility to landslide-flash floods in the Kelara watershed area in Jeneponto Regency has a very susceptible class of 63.21% of the total watershed area, which shows the high potential for landslide-flash floods. This potential requires mitigation measures to minimize disaster events and requires firm action from the local and central governments for the protection and utilization of upstream watershed areas in order to be sustainable.
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Keywords: disaster; hydrometeorological; Jeneponto; Kelara Watershed; soil texture

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  1. Adi, S. (2013). Characterization of flash flood disaster in Indonesia (Karekterisasi bencana banjir bandang di Indonesia). Jurnal Sains Dan Teknologi Indonesia, 15(1), 42–51
  2. Ahmad, A., Lopulisa, C., Imran, A., Baja, S., & Solle, M. S. (2020). Spatial analysis of landslide vulnerability in Enrekang District , South Sulawesi Spatial analysis of landslide vulnerability in Enrekang District , South Sulawesi. IOP Conf. Series: Earth and Environmental Science, 486(012068), 1–8. doi: 10.1088/1755-1315/486/1/012068
  3. Ahmad, A., Poch, R. M., Lopulisa, C., Imran, A. M., & Baja, S. (2018). Identification of Soil Characteristic on North Toraja Landslide, Indonesia. ARPN Journal of Engineering and Applied Sciences, 13(21), 8381–8385
  4. Amin, N., Lias, S., & Ahmad, A. (2021). Potential landslide-prone areas in The Kelara sub-watershed using the analytical hierarchy process method. Earth and Environmental Science, 807(022080), 1–11. doi: 10.1088/1755-1315/807/2/022080
  5. Amri, M. R., Yulianti, G., Yunus, R., Wiguna, S., Adi, A. W., Ichwana, A. N., … Septian, R. T. (2016). Risiko bencana indonesia (R. Jati & M. R. Amri, eds.). BNPB, Indonesia
  6. Archer, D. R., & Fowler, H. J. (2015). Characterising flash flood response to intense rainfall and impacts using historical information and gauged data in Britain. Journal of Flood Risk Management, 1–13. doi: 10.1111/jfr3.12187
  7. Atharinafi, Z., & Wijaya, N. (2021). Land Use Change and Its Impacts on Surface Runoff in Rural Areas of the Upper Citarum Watershed ( Case Study : Cirasea Sub- watershed ). Journal of Regional and City Planning, 32(1), 36–55. doi: 10.5614/jpwk.2021.32.1.3
  8. Barik, M. G. (2010). Landslide susceptibility mapping to infrom landuse management decision in an altered climate. In Thesis. doi: 10.13140/RG.2.1.2668.2968
  9. Bartelletti, C., Giannecchini, R., D’Amato Avanzi, G., Galanti, Y., & Mazzali, A. (2017). The influence of geological-morphological and land use settings on shallow landslides in the Pogliaschina T. Basin (northern apennines, Italy). Journal of Maps, 13(2), 142–152. doi: 10.1080/17445647.2017.1279082
  10. BNPB. (2013). Indeks Risiko Bencana Indonesia. Jakarta, Indonesia: Direktorat Pengurangan Risiko Bencana, Deputi Bidang Pencegahan dan Kesiapsiagaan
  11. BNPB. (2020a). Info bencana. Badan Nasional Penanggulangan Bencana Indonesia (National Agency for Disaster Management), 1–7
  12. BNPB. (2020b). Peta Bencana Indonesia 2020. Badan Nasional Penanggulangan Bencana
  13. BPT. (2005). Analisis kimia tanah, tanaman, air dan pupuk. In Badan penelitian dan Pengembangan
  14. Conforti, M., & Ietto, F. (2021). Modeling Shallow Landslide Susceptibility and Assessment of the Relative Importance of Predisposing Factors , through a GIS-Based Statistical Analysis. Geosciences, 11(333), 1–28. doi: 10.3390/geosciences11080333
  15. Desaunettes, J. (1977). Catalogue of Landforms for Indonesia. Bogor: Prepared for the Land Capability Appraisal Project at the Soil Research Institute
  16. Halengkara, L., Gunawan, T., & Purnama, S. (2012). Analisis kerusakan lahan untuk pengelolaan daerah aliran sungai melalui integrasu teknik penginderaan jauh dan sistem informasi geografis. Majalah Geografi Indonesia, 26(2), 149–173
  17. Haris, V. T., Lubis, F., & Winayati. (2018). Nilai kohesi dan sudut geser tanah pada akses gerbang selatan Universitas Lancang Kuning. Jurnal Teknik Sipil, 4(2), 123–130
  18. Hidayat, R., & Iswardoyo, J. (2019). Banjir bandang di Alasmalang Banyuwangi dan alternatif penanganannya. JPPDAS, 3(2), 127–140
  19. Imran, A. M., Azikin, B., & Sultan. (2012). Peranan Aspek Geologi Sebagai Penyebab Terjadinya Longsoran Pada Ruas Jalan Poros Malino – Sinjai ( the Role of Geological Aspects As the Cause of Landslides At Road Malino - Sinjai ). Buletin Geologi Tata Lingkungan (Bulletin of Environmental Geology), 22(3), 185–196
  20. Isra, N., Lias, S. A., & Ahmad, A. (2019). Karakteristik Ukuran Butir Dan Mineral Liat Tanah Pada Kejadian Longsor (Studi Kasus: Sub Das Jeneberang). Jurnal Ecosolum, 8(2), 62. doi: 10.20956/ecosolum.v8i2.7874
  21. Jódar-abellán, A., Valdes-abellan, J., Pla, C., & Gomariz-castillo, F. (2019). Impact of land use changes on flash flood prediction using a sub-daily SWAT model in five Mediterranean ungauged watersheds ( SE Spain ). Science of the Total Environment, 657, 1–13. doi: 10.1016/j.scitotenv.2018.12.034
  22. KLHK. (2019). Peta Tutupan Lahan. Kementerian Lingkungan Hidup dan Kehutanan
  23. Kruczkiewicz, A., Bucherie, A., Ayala, F., Hultquist, C., Vergara, H., Mason, S., … Sherbinin, A. De. (2021). Development of a Flash Flood Confidence Index from Disaster Reports and Geophysical Susceptibility. Remote Sensing of Environment, 13(2764), 1–21. doi: 10.3390/rs13142764
  24. Li, Z., Wang, K., Ma, H., & Wu, Y. (2018). An Adjusted Inverse Distance Weighted Spatial Interpolation Method. Advances in Computer Science Research, 65, 128–132
  25. Liu, X., & Miao, C. (2018). Large-scale assessment of landslide hazard , vulnerability and risk in China. Geomatics, Natural Hazards and Risk, 9(1), 1037–1052. doi: 10.1080/19475705.2018.1502690
  26. Mugagga, F., Kakembo, V., & Buyinza, M. (2012). A characterisation of the physical properties of soil and the implications for landslide occurrence on the slopes of Mount Elgon , Eastern Uganda. Nat. Hazards, 60, 1113–1131. doi: 10.1007/s11069-011-9896-3
  27. Nugroho, S. P. (2003). Pergeseran kebijakan dan paradigma baru dalam pengelolaan daerah aliran sungai di indonesia. J. Tek. Ling, 4(3), 136–142
  28. Ouyang, W., Wu, Y., Hao, Z., Zhang, Q., Bu, Q., & Gao, X. (2018). Combined impacts of land use and soil property changes on soil erosion in a mollisol area under long-term agricultural development. Science of The Total Environment, 613–614, 798–809. doi: 10.1016/j.scitotenv.2017.09.173
  29. Reichenbach, P., Busca, C., Mondini, A. C., & Rossi, M. (2014). The Influence of Land Use Change on Landslide Susceptibility Zonation : The Briga Catchment Test Site ( Messina , Italy ). Environmental Management, 54, 1372–1384. doi: 10.1007/s00267-014-0357-0
  30. Republika. (2020, June 13). Desa Rumbia Jeneponto Dikepung Banjir Bandang. Retrieved from https://www.republika.co.id/berita/qbtreh377/desa-rumbia-jeneponto-dikepung-banjir-bandang
  31. Riza, S., Sekine, M., Kanno, A., Yamamoto, K., & Imai, T. (2021). Geoderma Modeling soil landscapes and soil textures using hyperscale terrain attributes. Geoderma, 402(April), 115177. doi: 10.1016/j.geoderma.2021.115177
  32. Sukamto, R., & Supriatna, S. (1982). Geologic Map of The Ujungpandang, Bnteng and Sinjai Quadrangles, Sulawesi. Bandung, Indonesia: Geological Research and Development Centre
  33. Thi Pham, N. T., Nong, D., Sathyan, A. R., & Garschagen. (2020). Vulnerability assessment of households to flash floods and landslides in the poor upland regions of Vietnam. Climate Risk Management, 28(100215), 1–19. doi: 10.1016/j.crm.2020.100215
  34. Worowirasmi, T. S., Waluyo, M. E., Rachmawati, Y., & Hidayati, I. Y. (2015). The Community – Based Flood Disaster Risk Reduction (CBDRR) in Beringin Watershed in Semarang City. Jurnal Wilayah Dan Lingkungan, 3(2), 131–150
  35. Wu, L. Z., Huang, R. Q., Xu, Q., Zhang, L. M., & Li, H. L. (2015). Analysis of physical testing of rainfall-induced soil slope failures. Environ Earth Sci, 73, 8519–8531. doi: 10.1007/s12665-014-4009-8
  36. Zhang, K., Wang, S., Bao, H., & Zhao, X. (2019). Characteristics and influencing factors of rainfall-induced landslide and debris flow hazards in Shaanxi Province , China. Natural Hazards and Earth System Science, 19, 93–105. doi: 10.5194/nhess-19-93-2019

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