Flood vulnerability analysis using geographic information system in the core zone of the Lore Lindu biosphere reserve, Indonesia
DOI:
https://doi.org/10.15243/jdmlm.2024.121.6887Keywords:
biosphere reserve, flood vulnerability, GIS, Lore Lindu, scoringAbstract
Floods are caused by the accumulation of several factors, such as global warming, climatological characteristics, hydrology, and physical conditions of an area. The purpose of this study was to map the level of flood vulnerability in the core zone of the Lore Lindu Biosphere Reserve using geographic information system (GIS) based spatial analysis with scoring and overlay. The research parameters consisted of rainfall, elevation, slope, soil type, land cover, and distance from the river. This research was conducted in the core zone divided into 13 subdistricts and 2 regencies. The results of the classification of flood vulnerability levels are divided into 4 (four) categories: not prone, low vulnerability, moderate vulnerability, and high vulnerability. The results of the analysis show that the core zone of the Lore Lindu biosphere reserve is dominated by a non-hazardous site with an area of 145,018’28 ha (67.23%), a low vulnerability zone of 65,430.10 ha (30.33%), a moderate vulnerability zone of 5,025.29 ha (2.33%), and a high vulnerability zone of 245.99 ha (0.11). Areas with a high level of vulnerability are at low elevations with flat to gentle slopes. Most land use is dominated by water, mining, and open land without vegetation and is located around rivers.
References
Ajtai, I., ?tef?nie, H., Malo?, C., Botezan, C., Radovici, A., Biz?u-Cârstea, M. and Baciu, C. 2023. Mapping social vulnerability to floods. A comprehensive framework using a vulnerability index approach and PCA analysis. Ecological Indicators 154:110838. https://doi.org/10.1016/j.ecolind.2023.110838
Ali, S.A., Parvin, F., Pham, Q.B., Vojtek, M., Vojteková, J., Costache, R., Linh, N.T.T., Nguyen, H.Q., Ahmad, A. and Ghorbani, M.A. 2020. GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Top?a basin, Slovakia. Ecological Indicators 117:106620. https://doi.org/10.1016/j.ecolind.2020.106620
Ariyani, D., Purwanto, M.Y.J., Sunarti, E., Perdinan, and Juniati, A.T. 2024. Integrated flood hazard assessment using multi-criteria analysis and geospatial modeling. Journal of Degraded and Mining Lands Management 11(4):6121-6134. https://doi.org/10.15243/jdmlm.2024.114.6121
Auliagisni, W., Wilkinson, S. and Elkharboutly, M. 2022. Using community-based flood maps to explain flood hazards in Northland, New Zealand. Progress in Disaster Science 14:100229. https://doi.org/10.1016/j.pdisas.2022.100229
Basri, H., Syakur, S., Azmeri, A. and Fatimah, E. 2022. Floods and their problems: Land uses and soil types perspectives. IOP Conference Series: Earth and Environmental Science 951(1):012111. https://doi.org/10.1088/1755-1315/951/1/012111
Deng, S., Zhang, M., Hou, Y., Wang, H., Yu, E. and Xu, Y. 2022. Terrestrial water storage dynamics: Different roles of climate variability, vegetation change, and human activities across climate zones in China. Forests 13(10):1541. https://doi.org/10.3390/f13101541
Desalegn, H. and Mulu, A. 2021. Flood vulnerability assessment using GIS at Fetam watershed, upper Abbay basin, Ethiopia. Heliyon 7(1):e05865. https://doi.org/10.1016/j.heliyon.2020.e05865
El Kateb, H., Zhang, H., Zhang, P. and Mosandl, R. 2013. Soil erosion and surface runoff on different vegetation covers and slope gradients: A field experiment in Southern Shaanxi Province, China. Catena 105:1-10. https://doi.org/10.1016/j.catena.2012.12.012
Erfani, S., Naimullah, M. and Winardi, D. 2023. GIS scoring and overlay methods for mapping landslide vulnerability in Lebak Regency, Banten. Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat 20(1):61-79 (in Indonesian). https://doi.org/10.20527/flux.v20i1.15057
Fauzi, Y., Mayasari, Z.M. and Fachri, H.T. 2022. Modeling potential flood disasters in urban areas using GIS case study: Bengkulu City. Jurnal Ilmiah Geomatika 28(1):21-28 (in Indonesian).
Goh, K. 2019. Urban waterscapes: The hydro-politics of flooding in a sinking city. International Journal of Urban and Regional Research 43(2):250-272. https://doi.org/10.1111/1468-2427.12756
Golar, G., Muis, H., Isrun, I., Simorangkir, W.S., Fadhliah, F., Ali, M.N. and Basir-Cyio, M. 2024. Deforestation as a catalyst for natural disaster and community suffering: A cycle in the socioecological system. Folia Forestalia Polonica, Series A 66(2):72-88. https://doi.org/10.2478/ffp-2024-0007
Golar, G., Muis, H., Rosyid, A. and Simorangkir, W.S. 2023. Efforts the climate change mitigation and adaptation: The contributions of Toro communities in Lore Lindu National Park. Jurnal Belantara 6(1):115-125. https://doi.org/10.29303/jbl.v6i1.893
Kartawinata, K. and Sudarmonowati, E. 2022. Natural Vegetation Diversity of Cibodas Biosphere Reserve. Publisher-BRIN (in Indonesian). https://doi.org/10.55981/brin.471
Kusumo, P. and Nursari, E. 2016. Flood vulnerability level zoning with geographic information system in Cidurian Watershed, Serang Regency, Banten. Jurnal String 1(1):29-38 (in Indonesian). https://doi.org/10.30998/string.v1i1.966
Mahfudz, M., Riadi, B. and Rifaldi, I. 2022. Mapping of potential flood areas based on the Topographic Wetness Index (TWI) in Cigudeg District, Bogor Regency. Jurnal Ilmiah Geomatika 28(1):13-19 (in Indonesian).
Matondang, J.P., Kahar, S. and Sasmito, B. 2013. Analysis of flood-prone area zoning using geographic information systems (Case study: Kedal City and surrounding areas). Jurnal Geodesi Undip 2(2) (in Indonesian). https://doi.org/10.14710/jgundip.2013.2442
Mishra, B.K., Rafiei Emam, A., Masago, Y., Kumar, P., Regmi, R.K. and Fukushi, K. 2018. Assessment of future flood inundations under climate and land use change scenarios in the Ciliwung River Basin, Jakarta. Journal of Flood Risk Management 11:S1105-S1115. https://doi.org/10.1111/jfr3.12311
Muhati, G.L., Olago, D. and Olaka, L. 2018. Land use and land cover changes in a sub-humid Montane forest in an arid setting: A case study of the Marsabit forest reserve in northern Kenya. Global Ecology and Conservation 16:e00512. https://doi.org/10.1016/j.gecco.2018.e00512
Muis, H., Santi, N.A., Toknok, B., Baharuddin, R.F. and Hamzari, H. 2023. Miu sub-watershed: Flood vulnerability assessment using a spatial model. IOP Conference Series: Earth and Environmental Science, 1253(1). https://doi.org/10.1088/1755-1315/1253/1/012104
Musolino, G., Ahmadian, R. and Falconer, R.A. 2020. Comparison of flood hazard assessment criteria for pedestrians with a refined mechanics-based method. Journal of Hydrology X 9:100067. https://doi.org/10.1016/j.hydroa.2020.100067
Ogato, G.S., Bantider, A., Abebe, K. and Geneletti, D. 2020. Geographic information system (GIS)-Based multi-criteria analysis of flooding hazard and risk in Ambo Town and its watershed, West Shoa zone, Oromia regional State, Ethiopia. Journal of Hydrology: Regional Studies 27:100659. https://doi.org/10.1016/j.ejrh.2019.100659
Osei, B.K., Ahenkorah, I., Ewusi, A. and Fiadonu, E.B. 2021. Assessment of flood prone zones in the Tarkwa mining area of Ghana using a GIS-based approach. Environmental Challenges 3:100028. https://doi.org/10.1016/j.envc.2021.100028
Pham, N.T.T., Nong, D., Sathyan, A.R. and Garschagen, M. 2020. Vulnerability assessment of households to flash floods and landslides in the poor upland regions of Vietnam. Climate Risk Management 28:100215. https://doi.org/10.1016/j.crm.2020.100215
Purwanto, Y. 2020. The application of ethnobiology data as a vehicle that supports the management of food material biodiversity that is sustainable. Prosiding Seminar Nasional Masyarakat Biodiversitas Indonesia 6(1) (in Indonesian). https://doi.org/10.13057/psnmbi/m060101
Silver, C. 2021. Urban flood risk management: Looking at Jakarta. Imprint Routledge, London. https://doi.org/10.4324/9781003171324
Sitorus, I.H.O., Bioresita, F. and Hayati, N. 2021. Analysis of flood risk level in Bandung Regency using weighting and scoring methods. Jurnal Teknik ITS 10(1) (in Indonesian). https://doi.org/10.12962/j23373539.v10i1.60082
Smith, L., Liang, Q., James, P. and Lin, W. 2017. Assessing the utility of social media as a data source for flood risk management using a real-time modelling framework. Journal of Flood Risk Management 10(3):370-380. https://doi.org/10.1111/jfr3.12154
Subardja, D.S., Ritung, S., Anda, M., Suryani, E. and Subandiono, R.E. 2014. Technical Guidelines for National Soil Classification (1st ed.). Ministry of Agriculture of Indonesia (in Indonesian).
Sunam, R.K., Bishwokarma, D. and Darjee, K.B. 2015. Conservation policy making in Nepal: Problematising the politics of civic resistance. Conservation and Society 13(2):179-188. https://doi.org/10.4103/0972-4923.164201
Suni, M.A., Mappatoba, C.A. and Maarif, F. 2023. Spatial analysis of flood vulnerability in buffer village Lore Lindu National Park. Jurnal Analisis Kebijakan Kehutanan 20(2):91-101 (in Indonesian). https://doi.org/10.59100/91-101
Suwarno, A., Hein, L., Weikard, H.P., van Noordwijk, M. and Nugroho, B. 2018. Land-use trade-offs in the Kapuas peat forest, Central Kalimantan, Indonesia. Land Use Policy 75:340-351. https://doi.org/10.1016/j.landusepol.2018.03.015
Sy, B., Frischknecht, C., Dao, H., Consuegra, D. and Giuliani, G. 2019. Flood hazard assessment and the role of citizen science. Journal of Flood Risk Management 12. https://doi.org/10.1111/jfr3.12519
Underwood, E.C., Hollander, A.D., Flint, L.E., Flint, A.L. and Safford, H.D. 2018. Climate change impacts on hydrological services in southern California. Environmental Research Letters 13(12):124019. https://doi.org/10.1088/1748-9326/aaeb59
Van Cuong, C., Dart, P. and Hockings, M. 2017. Biosphere reserves: Attributes for success. Journal of Environmental Management 188:9-17. https://doi.org/10.1016/j.jenvman.2016.11.069
Wahid, A., Arianingsih, I., Misrah, M., Naharuddin, N. and Zahra, Z. 2021. Analysis of flood-prone areas using geographic information system. ARPN Journal of Engineering and Applied Sciences 16(24):2660-2667.
Yunan, A. 2020. Analysis of flood prone areas in Nagan Raya Regency Aceh Province. Malaysian Journal of Computing 5(1):414. https://doi.org/10.24191/mjoc.v5i1.7805
Zhang, X., Song, J., Wang, Y., Deng, W. and Liu, Y. 2021. Effects of land use on slope runoff and soil loss in the Loess Plateau of China: A meta-analysis. Science of The Total Environment 755:142418. https://doi.org/10.1016/j.scitotenv.2020.142418
Zheng, X., Maidment, D.R., Tarboton, D.G., Liu, Y.Y. and Passalacqua, P. 2018. GeoFlood: Large-scale flood inundation mapping based on high-resolution terrain analysis. Water Resources Research 54(12):10,013-10,033. https://doi.org/10.1029/2018WR023457
Ziwei, L., Xiangling, T., Liju, L., Yanqi, C., Xingming, W. and Dishan, Y. 2023. GIS-based risk assessment of flood disaster in the Lijiang River Basin. Scientific Reports 13(1). https://doi.org/10.1038/s41598-023-32829-5
Downloads
Submitted
Accepted
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Journal of Degraded and Mining Lands Management
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Submission of a manuscript implies: that the work described has not been published before (except in the form of an abstract or as part of a published lecture, or thesis) that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Scientific Journal by Eko Handayanto is licensed under a Creative Commons Attribution 4.0 International License.
Based on a work at https://ub.ac.id.
Permissions beyond the scope of this license may be available at https://ircmedmind.ub.ac.id/.