Landslide hazard mapping and bio-engineering solutions for riverbank stabilization in the Cisanggarung River Basin, Indonesia: A GIS-based approach
DOI:
https://doi.org/10.15243/jdmlm.2025.123.7637Keywords:
bio-engineering, CRB, GIS, landslide mapping, riverbank stabilizationAbstract
Landslides along riverbanks pose significant risks to infrastructure, human safety, and environmental stability. This study used a GIS-based approach to map landslide hazards and implement bio-engineering solutions for riverbank stabilization in the Cisanggarung River Basin (CRB), Indonesia. The analysis incorporated multiple parameters, including slope, soil type, land use, and riverbank characteristics, to identify potential landslide-prone areas. Data from DEMNAS, soil type maps, and land cover maps were processed using GIS tools to generate a comprehensive landslide hazard map. The results indicated that the upper and middle sections of the Cisanggarung River are particularly vulnerable to landslides, with high-risk areas identified based on slope gradients and soil sensitivity. The study further evaluated the suitability of bio-engineering techniques, such as vegetation-based stabilization, to mitigate landslide risks. The proposed solutions were focused on the highest-risk points, which were determined through scoring analysis of the identified parameters. This research provides critical insights for local authorities and environmental planners, offering a practical framework for landslide risk management and sustainable riverbank restoration in the region.
References
Alexander, J.S., Wilson, R.C., Green, W.R. and Survey, U.S.G. 2012. A brief history and summary of the effects of river engineering and dams on the Mississippi River system and delta. U.S. Geological Survey, Water Science Center, Circular 43 p. https://doi.org/10.3133/cir1375
Ali, M., Hadi, S. and Sulistyantara, B. 2016. Study on land cover change of Ciliwung downstream watershed with spatial dynamic approach. Procedia – Social and Behavioral Sciences 227(November 2015):52-59. https://doi.org/10.1016/j.sbspro.2016.06.042
Ariyani, D., Perdinan., Purwanto, M.Y.J., Sunarti, E., Juniati, A.T. and Ibrahim, M. 2022. Contributed indicators to fluvial flood along river basin in urban area of Indonesia. Geography, Environment, Sustainability 15(4):102-114. https://doi.org/10.24057/2071-9388-2022-084
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
Asmare, D. 2023. Application and validation of AHP and FR methods for landslide susceptibility mapping around Choke Mountain, northwestern Ethiopia. Scientific African 19:1470. https://doi.org/10.1016/j.sciaf.2022.e01470
Assilzadeh, H., Levy, J.K. and Wang, X. 2010. Landslide catastrophes and disaster risk reduction: A GIS framework for landslide prevention and management. Remote Sensing (Basel) 2(9):2259-2273. https://doi.org/10.3390/rs2092259
Busthan, B., Pachri, H., Alimuddin, I., Bahri, S. and Bundang, S. 2024. A new approach to determining the slip surface in tuff to determine the volume of landslide material: A case study on the West Sinjai road section, Sinjai Regency, South Sulawesi, Indonesia. Journal of Degraded and Mining Lands Management 11(2):5533-5538. https://doi.org/10.15243/jdmlm.2024.112.5533
Clerici, A., Perego, S., Tellini, C. and Vescovi. 2006. A GIS-based automated procedure for landslide susceptibility mapping by the conditional analysis method: the Baganza Valley case study (Italian Northern Apennines). Environmental Geology 50:941-961. https://doi.org/10.1007/s00254-006-0264-7
Deng, T. 2024. Influence of clay minerals in landslide-prone areas on shear strength of different soils and stability analysis of slopes. SSRN. https://doi.org/10.2139/ssrn.4776203
Esmaiel, A. 2022. Integration of flood risk assessment and spatial planning for disaster management in Egypt. Progress in Disaster Science 15:100245. https://doi.org/10.1016/j.pdisas.2022.100245
Hayati, F., Purwanto, M.Y.J., Pawitan, H., Tarigan, S.D. and Rachman, L.M. 2024. Mitigation of flood risk with bamboo planting design in Barabai River floodplain in South Kalimantan, Indonesia. Civil Engineering Architecture 12(1):70-77. https://doi.org/10.13189/cea.2024.120106
Heo, S., Sohn, W., Park, S. and Lee, D.K. 2024. Multi-hazard assessment for flood and Landslide risk in Kalimantan and Sumatra: Implications for Nusantara, Indonesia’s new capital. Heliyon 10(18):e37789. https://doi.org/10.1016/j.heliyon.2024.e37789
Kirkpatrick, Q. 2020. Step Pools: Examining the flow resistance and stability of artificial step pools in comparison with their natural counterparts. Paper for Environmental Studies Senior Seminar, University of Richmond, April 2020.
Kurniawan, A., Taufik, M., Maulida, P., Rafiq, M. and Herawati, Y.A. 2023. Current deformation in the eastern part of Java derived from GPS observation. IOP Conference Series: Earth and Environmental Science. https://doi.org/10.1088/1755-1315/1276/1/012023
Lee, C.M., Choi, H., Kim, Y., Kim, M., Kim and Hamm, S.Y. 2021. Characterizing land use effect on shallow groundwater contamination by using self-organizing map and buffer zone. Science of The Total Environment 800:149632. https://doi.org/10.1016/j.scitotenv.2021.149632
Lewis, L., Salisbury, S.L., Hagen, S., Maurer, L.A. and Mark. 2001. Soil bioengineering for upland slope stabilization. Research Project WA-RD, 491.
Mahmud, A.A., Wijaya, D., Wahyudi, Nugroho, B. and Melanesia, D. 2023. Biophysical characteristics of Wosi watershed area in Manokwari Regency, Indonesia. Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan 13(1):88-101. https://doi.org/10.29244/jpsl.13.1.88-101
Masruroh, H., Leksono, A.S., Kurniawan, S. and Soemarno. 2023. Developing landslide susceptibility map using Artificial Neural Network (ANN) method for mitigation of land degradation. Journal of Degraded and Mining Lands Management 10(3):4479-4494. https://doi.org/10.15243/jdmlm.2023.103.4479
Maulana, D.S., Indrawan, I.G.B. and Warmada, I.W. 2024. Landslide susceptibility mapping in East Ungaran, Indonesia: A comparative study using statistical methods. Journal of Degraded and Mining Lands Management 11(4):6107-6120. https://doi.org/10.15243/jdmlm.2024.114.6107
Mersha, T. and Meten, M. 2020. GIS-based landslide susceptibility mapping and assessment using bivariate statistical methods in Simada area, northwestern Ethiopia. Geoenvironmental Disasters 7:1-22. https://doi.org/10.1186/s40677-020-00155-x
Moga, J. 2002. Disaster mitigation planning: the growth of local partnerships for disaster reduction. In Regional Workshop on Best Practices in Disaster Mitigation-Lessons Learned from the Asian Urban Disaster Mitigation Program and other Initiatives (pp. 24-26),
Mudashiru, Rofiat, B., Sabtu, N., Abustan, I. and Balogun, W. 2021. Flood hazard mapping methods: A review. Journal of Hydrology 603:126846. https://doi.org/10.1016/j.jhydrol.2021.126846
Nalurita, V.A., Kurnianto, F.A., Apriyanto, B. and Yushardi, Y. 2020. Analysis of the effect of natural factors on the potential of flood and landslide in the east Jamber. Majalah Pembelajaran Geografi 3(1) (in Indonesian).
Neuvel, J.M.M. and van den Brink, A. 2010. The consideration of emergency management issues in spatial planning practices. Environmental and Planning C: Government and Policy 28(1):37-53. https://doi.org/10.1068/c08130
Ningkeula, E.S. 2015. Analysis of meteorological and morphological characteristics of the Wai Samal watershed, Seram Utara Timur Kobi District, Central Maluku Regency. Agrikan Jurnal Agribisnis Perikanan 8(2):81-91. https://doi.org/10.29239/j.agrikan.8.2.81-91
Pradhan, B., Mansor, S., Pirasteh, S. and Buchroithner, M.. 2011. Landslide hazard and risk analyses at a landslide prone catchment area using statistical based geospatial model. International Journal of Remote Sensing 32(14):4075-4087. https://doi.org/10.1080/01431161.2010.484433
Putra, A.N., Nita, I., Al Jauhary, M.R., Nurhutami, S.R. and Ismail, M.H. 2021. Landslide risk analysis on agriculture area in Pacitan Regency in East Java Indonesia using geospatial techniques. Environment and Natural Resources Journal 19(2):141-152. https://doi.org/10.32526/ennrj/19/2020167
Putri, A.R. 2016. Identification of landslide-prone areas using GIS (Geographic Information System) (Case study: Kediri Regency). Jurnal Teknik ITS 5(2):78- 82 (in Indonesian).
Saha, A.K., Arora, M.K., Gupta, R.P., Virdi, M.L. and Csaplovics, E. 2005. GIS?based route planning in landslide?prone areas. International Journal of Geographical Information Science 19(10):1149-1175. https://doi.org/10.1080/13658810500105887
Suni, M.A., Rahmawati, A., Muis, H., Maarif, F. and Baharuddin, R.F. 2024. Flood vulnerability analysis using geographic information system in the core zone of the Lore Lindu biosphere reserve, Indonesia. Journal of Degraded and Mining Lands Management 12(1):6887-6897. https://doi.org/10.15243/jdmlm.2024.121.6887
Sur, U., Singh, P. and Meena, S.R. 2020. Landslide susceptibility assessment in a lesser Himalayan road corridor (India) applying fuzzy AHP technique and earth-observation data. Geomatics, Natural Hazards and Risk 11(1):2176-2209. https://doi.org/10.1080/19475705.2020.1836038
USDA-NRCS. 2022. Soil Survey Staff Keys to Soil Taxonomy. Thirteenth Edition, 2022. Soil Conservation Service, 12, 410. http://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcs142p2_051546.pdf
Westen, C.J. 2013. Remote sensing and GIS for natural hazards assessment and disaster risk management. Treatise on Geomorphology 3(15):259-298. https://doi.org/10.1016/B978-0-12-374739-6.00051-8
Zairina, A., Soemarno, Rachmansyah, A. and Yanuwiadi, B. 2024. Geophysical, geotechnical, and vegetation characteristics in landslide areas in Pujon and Ngantang, Malang Regency, East Java. Journal of Degraded and Mining Lands Management 11(2):5211-5223. https://doi.org/10.15243/jdmlm.2024.112.5211
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