Determining flood vulnerable parameters: A spatial overlay analysis in Kurau subdistrict, South Kalimantan province
DOI:
https://doi.org/10.58524/jgsa.v1i2.27Keywords:
Flood Disaster, Flood Hazard, Flood Vulnerability Analysis, Kurau Subdistrict, South Kalimantan ProvinceAbstract
Flood has become one of the most common and damaging natural disasters in Indonesia, especially in coastal areas like Kurau Subdistrict, Tanah Laut Regency. In these regions, the combination of geographical features, land use patterns and climatic influences increases the vulnerability of communities that makes it more challenging to implement effective disaster management. This research focuses on evaluating the spatial distribution of flood vulnerable by determine various environmental and human-induced factors uses based on study an overlay method to parameter of flood vulnerability such as land use, buffer river, elevation, rainfall, slope and soil type. The results of the study shows that a flood hazard map was created as considerable part of the area is categorized as having very high and high flood vulnerability, mainly due to factors like widespread agricultural land use, tendency to river channels and low elevation, which emphasizes the need to integrate flood vulnerability evaluations.
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Abdelkarim, A., Gaber, A. F. D., Youssef, A. M., & Pradhan, B. (2019). Flood hazard assessment of the urban area of Tabuk city, Kingdom of Saudi Arabia by integrating spatial-based hydrologic and hydrodynamic modeling. Sensors (Switzerland), 19(5). https://doi.org/10.3390/s19051024
Agonafir, C., Lakhankar, T., Khanbilvardi, R., Krakauer, N., Radell, D., & Devineni, N. (2023). A review of recent advances in urban flood research. Water Security, 19, 100141. https://doi.org/10.1016/j.wasec.2023.100141
Akhbar, R. K. (2019). Analisis Spasial Rawan Banjir Terhadap Dampak Lingkungan Kabupaten Sigi Provinsi Sulawesi Tengah. Jurnal Warta Rimba, 7(4), 172–180. http://jurnal.untad.ac.id/jurnal/index.php/wartarimba/article/view/15222
Amaliyah, W. N., & Maman, A. A. (2022). Analisis Tingkat Kerawanan Bencana Alam Banjir di Kabupaten Purbalingga dengan Fuzzy Logic. Jurnal Sains Dasar, 22(2), 83-94. https://journal.uny.ac.id/index.php/jsd/article/view/52546
Anggraini, N., Pangaribuan, B., Siregar, A. P., Sintampalam, G., Muhammad, A., Damanik, M. R. S., & Rahmadi, M. T. (2021). Analisis Pemetaan Daerah Rawan Banjir di Kota Medan Tahun 2020. Jurnal Samudra Geografi, 4(2), 27-32. https://doi.org/10.33059/jsg.v4i2.3851
Bado, V. B., & Bationo, A. (2018). Integrated management of soil fertility and land resources in Sub-Saharan Africa: involving local communities. Advances in Agronomy, 150, 1-33. https://doi.org/10.1016/bs.agron.2018.02.001
Banjara, M., Bhusal, A., Ghimire, A. B., & Kalra, A. (2024). Impact of Land Use and Land Cover Change on Hydrological Processes in Urban Watersheds: Analysis and Forecasting for Flood Risk Management. Geosciences, 14(2), 40. https://doi.org/10.3390/geosciences14020040
Bera, M. K., & Daněk, P. (2018). The perception of risk in the flood-prone area: a case study from the Czech municipality. Disaster Prev. Manag., 27(1), 214. https://doi.org/10.1108/DPM-01-2017-0004
Bhattacharjee, S., Kumar, P., Thakur, P. K., & Gupta, K. (2021). Hydrodynamic modelling and vulnerability analysis to assess flood risk in a dense Indian city using geospatial techniques. Natural Hazards, 105(1), 2117–2145. https://doi.org/10.1007/s11069-020-04392-z
Birhanu, A., Masih, I., van der Zaag, P., Nyssen, J., & Cai, X. (2019). Impacts of land use and land cover changes on hydrology of the Gumara catchment, Ethiopia. Physics and Chemistry of the Earth, Parts A/B/C, 112, 165-174. https://doi.org/10.1016/j.pce.2019.01.006
BNPB. (2024). Infografis Bencana Indonesia 2024. [Online]. Available: https://bnpb.go.id/infografis/infografis-bencana-tahun-2024
BPS. (2025). Kabupaten Tanah Laut dalam Angka 2025. [Online]. Available: https://tanahlautkab.bps.go.id/id/publication/2025/02/28/a32f6cc520792ce35c354962/kabupaten-tanah-laut-dalam-angka-2025.html
Bruwier, M., Maravat, C., Mustafa, A., Teller, J., Pirotton, M., Erpicum, S., Archambeau, P., & Dewals, B. (2020). Influence of urban forms on surface flow in urban pluvial flooding. Journal of Hydrology, 582, 124493. https://doi.org/10.1016/j.jhydrol.2019.124493
Chan, S. W., Abid, S. K., Sulaiman, N., Nazir, U., & Azam, K. (2022). A systematic review of the flood vulnerability using geographic information system. Heliyon, 8(3). https://doi.org/10.1016/j.heliyon.2022.e09075
Cipto, H., Harisuseso, D. & Fidari. J. S. (2023). Studi Pemanfaatan Data Satelit CHIRPS Untuk Estimasi Curah Hujan Di Sub DAS Abab. Jurnal Teknologi Dan Rekayasa Sumber Daya Air, 3(2), 540–549. https://doi.org/10.21776/ub.jtresda.2023.003.02.046
Darmawan, K., & Suprayogi, A. (2017). Analisis Tingkat Kerawanan Banjir di Kabupaten Sampang Menggunakan Metode Overlay dengan Scoring Berbasis Sistem Informasi Geografis. Jurnal Geodesi Undip, 6(1). https://ejournal3.undip.ac.id/index.php/geodesi/article/view/15024
Dephut. 1989. Guidelines for the Preparation of Land Rehabilitation and Soil Conservation Patterns. Jakarta: Department of Forestry.
Douglas, I. (2017). Flooding in African cities, scales of causes, teleconnections, risks, vulnerability and impacts. International Journal of Disaster Risk Reduction, 26, 34–42. https://doi.org/10.1016/j.ijdrr.2017.09.024
Economic and Social Commision for Asia and the Pacific. (2019). The Asia-Pacific Disaster Report 2019. [Online]. Available: https://doi.org/10.1017.S002081830000727X
Fauzi, R. A. (2022). Analisis Tingkat Kerawanan Banjir Kota Bogor Menggunakan Metode Overlay dan Scoring Berbasis Sistem Informasi Geografis. Geomedia: Majalah Ilmiah dan Informasi Kegeografian, 20(2), 96-107. https://doi.org/10.21831/gm.v20i2.48017
Gilang, M. A., Wahyuni, S., & Limantara, L. M. (2022). Rationalization of rainfall station density in the Jatiroto sub-watershed using ground and satellite rainfall data. Civil and Environmental Science Journal, 5(2). https://doi.org/10.21776/ub.civense.2022.00502
Harefa, S., Kumalawati, R., Nurlina, N., & Hadi, I. K. (2024). Penginderaan Jauh Untuk Pemetaan Bahaya Banjir Di Kabupaten Nias Utara: Analisis Dan Pendekatan Mitigasi. PRIMER: Jurnal Ilmiah Multidisiplin, 2(2), 142–150. https://doi.org/10.55681/primer.v2i2.332
Hochrainer-Stigler, S., Bachner, G., Knittel, N., Poledna, S., Reiter, K., Bosello, F. (2024). Risk management against indirect risks from disasters: A multi-model and participatory governance framework applied to flood risk in Austria. International Journal of Disaster Risk Reduction, 106, 104425. https://doi.org/10.1016/j.ijdrr.2024.104425
Ighile, E. H., Shirakawa, H., & Tanikawa, H. (2022). Application of GIS and Machine Learning to Predict Flood Areas in Nigeria. Sustainability, 14(9), 5039. https://doi.org/10.3390/su14095039
Kepmendagri. 2022. Indonesian Minister of Home Affairs Decree 100.1.1-6117 of 2022. Jakarta: Minister of Home Affairs.
Krisnantara, G., Ayu Karondia, L., Wahyudi, I., & Fadly, D. M. (2021). Kajian Kerawanan Longsor Lahan di Kabupaten Berau Berbasis Sistem Informasi Geografis. Jurnal Penelitian Pendidikan Geografi, 6(2) 92-103. https://ojs.uho.ac.id/index.php/ppg/article/view/15488
Kusumo, P., & Nursari, E. (2016). Zonasi Tingkat Kerawanan Banjir dengan Sistem Informasi Geografis pada DAS Cidurian Kab. Serang, Banten. Jurnal String, 1(1), 29-38. https://dx.doi.org/10.30998/string.v1i1.966
Lind, L., Hasselquist, E. M., & Laudon, H. (2019). Towards ecologically functional riparian zones: A meta-analysis to develop guidelines for protecting ecosystem functions and biodiversity in agricultural landscapes. Journal of Environmental Management, 249, 109391. https://doi.org/10.1016/j.jenvman.2019.109391
Masselink, G., & Lazarus, E. D. (2019). Defining coastal resilience. Water (Switzerland), 11(12). https://doi.org/10.3390/w11122587
Ming, X., Liang, Q., Dawson, R., Xia, X., & Hou, J. (2022). A quantitative multi-hazard risk assessment framework for compound flooding considering hazard inter-dependencies and interactions. Journal of Hydrology, 607, 127477. https://doi.org/10.1016/j.jhydrol.2022.127477
Muthusamy, M., Casado, M. R., Butler, D., & Leinster, P. (2021). Understanding the effects of Digital Elevation Model resolution in urban fluvial flood modelling. Journal of Hydrology, 596, 126088. https://doi.org/10.1016/j.jhydrol.2021.126088
Nguyen, K. A., & Liou, Y. A. (2019). Global mapping of eco-environmental vulnerability from human and nature disturbances. The Science of the total environment, 664, 995–1004. https://doi.org/10.1016/j.scitotenv.2019.01.407
Nuryanti, N., Tanesib, J. L., & Warsito, A. (2018). Pemetaan Daerah Rawan Banjir Dengan Penginderaan Jauh Dan Sistem Informasi Geografis Di Kecamatan Kupang Timur Kabupaten Kupang Provinsi Nusa Tenggara Timur. Jurnal Fisika: Fisika Sains Dan Aplikasinya, 3(1), 73-79. https://doi.org/10.35508/fisa.v3i1.604
Palla, A., Colli, M., Candela, A., Aronica, G. T., & Lanza, L. G. (2018). Pluvial flooding in urban areas: the role of surface drainage efficiency. Journal of Flood Risk Management, 11(S2), S663–S676. https://doi.org/10.1111/jfr3.12246
Petrucci, O. (2022). Review article: Factors leading to the occurrence of flood fatalities: A systematic review of research papers published between 2010 and 2020. Natural Hazards and Earth System Sciences, 22(1), 71-83. https://doi.org/10.5194/nhess-22-71-2022
Pratiwi, A., Gaol, J. L., & Nurjaya, I. W. (2017). Analisis Spasial Kerentanan Wilayah Pesisir Barat Provinsi Banten terhadap Bencana Tsunami dengan Menggunakan Sistem Informasi Geografis. Tesis UT - Marine Science And Technology, Institut Pertanian Bogor. https://repository.ipb.ac.id/handle/123456789/88370
Purwanto, A., Andrasmoro, D., & Eviliyanto. (2024). Flood Vulnerability Analysis Based on Gis and Remote Sensing at Silat Hulu. Indonesian Journal of Geography, 56(2), 264–273. https://doi.org/10.22146/ijg.91114
Rakuasa, H., Helwend, J. K., & Sihasale, D. A. (2022). Pemetaan Daerah Rawan Banjir di Kota Ambon Menggunakan Sistim Informasi Geografis. Jurnal Geografi : Media Informasi Pengembangan Dan Profesi Kegeografian, 19(2), 73–82. https://doi.org/10.15294/jg.v19i2.34240
Rakuasa, H., & Latue, P. C. (2023). Analisis Spasial Daerah Rawan Banjir di DAS Wae Heru, Kota Ambon. Jurnal Tanah Dan Sumberdaya Lahan, 10(1), 75–82. https://doi.org/10.21776/ub.jtsl.2023.010.1.8
Rohman, S. N., Lituhayu, D., & Lestari, H. (2024). Manajemen Penanggulangan Bencana Banjir oleh Badan Penanggulangan Bencana Daerah (BPBD) di Kabupaten Pati. Undip Electronic Journal System (UEJS). https://ejournal3.undip.ac.id/index.php/jppmr/article/viewFile/43305/30826
Sabegh, M. S., Amin, MSM., & Habibi, M. (2011). Study on Using Riparian Buffer in Urbanizing Rural Floodplain. Research Journal of Environmental Sciences, 5(8), 714-721. https://doi.org/10.3923/rjes.2011.714.721
Sholahuddin, M. DS. (2013). SIG Untuk Memetakan Daerah Banjir dengan Metode Skoring dan Pembobotan (Studi Kasus Kabupaten Jepara). Sistem Informasi, Fasilkom, Udinus. [Online]. Available: https://adoc.pub/queue/sig-untuk-memetakan-daerah-banjir-dengan-metode-skoring-dan-.html
USDA. 1975. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. Washington DC: Department of Agriculture.
Wang, L., Dai, X., Wang, G., Yinglan, A., Miao, C., Xue, B., Wang, Y., & Zhu, Y. (2025). Establishment of a slope-scale innovated rainfall-runoff model by combining infiltration equation and motion wave equation for watershed flash flood risk prediction. Journal of Hydrology, 652, 132700. https://doi.org/10.1016/j.jhydrol.2025.132700
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Copyright (c) 2025 Ahmad Reyhan Subardin (Author); Rosalina Kumalawati (Translator)
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