Risk Analysis of Water-Related Hazards in the Batang Merao Watershed, Jambi
DOI:
https://doi.org/10.62710/kzj9ak91Keywords:
Flood risk assessment, HEC-HMS, HEC-RAS, Geographic Information System (GIS), River normalization, Batang Merao WatershedAbstract
Sungai Penuh City, located in the Batang Merao Watershed, Jambi Province, faces increasingly severe flooding, exemplified by the January 2024 event that inundated over 2,945 ha with depths of 0.5–1.5 m. This study assesses water-related hazard risk by integrating HEC-HMS/HEC-RAS hydrological-hydraulic modeling, multi-variable GIS spatial analysis, and the BNPB Risk Triangle framework. Design rainfall was derived using the GEV distribution from nine stations (2001–2023), yielding Q25 peak discharges of ~220 m³/s upstream and 2,300 m³/s downstream. Two-dimensional HEC-RAS simulation and BNPB-based indices (Peraturan Kepala BNPB No. 02/2012) show seven of eight districts classified as HIGH hazard (18,569 ha), with vulnerability and capacity both LOW. Combining these components yields an overall MODERATE risk level, with 3,271 ha classified as high risk and estimated economic losses of IDR 26.906 billion. Structural mitigation through Batang Merao River normalization could reduce hazard from HIGH to MODERATE, cutting population exposure by 72% (8,640 to 2,419 persons/km²) and property losses from IDR 24.657 billion to IDR 6.904 billion. Policy recommendations span three horizons: short-term (early warning systems, sediment dredging, Destana), medium-term (river normalization, retention ponds, Danau Kerinci revitalization), and long-term (a Flood-Resilient City based on Smart Water Management).
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References
Agnes, M., & Naqash, M. T. (2025). Green infrastructure as nature-based solutions for water resources management in Indonesia. Indonesian Journal of Urban and Environmental Technology, 8(1), 15–25. https://doi.org/10.25105/urbanenvirotech.v8i1.21415
Ansori, M. (2023). Flood hydrograph analysis using synthetic unit hydrograph, HEC-HMS, and HEC-RAS 2D unsteady flow precipitation on-grid model for disaster risk mitigation. International Journal of GEOMATE, 24(103), 1–8.
Awah, L. S., Belle, J. A., Nyam, Y. S., & Orimoloye, I. R. (2024). A systematic analysis of systems approach and flood risk management research: Trends, gaps, and opportunities. International Journal of Disaster Risk Science, 15, 45–57. https://doi.org/10.1007/s13753-024-00544-y
Badan Nasional Penanggulangan Bencana. (2012). Peraturan Kepala BNPB Nomor 02 Tahun 2012 tentang Pedoman Umum Pengkajian Risiko Bencana. BNPB.
Badan Nasional Penanggulangan Bencana. (2025). Indeks Risiko Bencana Indonesia (IRBI) Tahun 2024.
Budiyono, Y., Aerts, J. C. J. H., Tollenaar, D., & Ward, P. J. (2016). River flood risk in Jakarta under scenarios of future change. Natural Hazards and Earth System Sciences, 16, 757–774. https://doi.org/10.5194/nhess-16-757-2016
El-Bagoury, H., & Gad, A. (2024). Integrated hydrological modeling for watershed analysis, flood prediction, and mitigation using meteorological and morphometric data, SCS-CN, HEC-HMS/RAS, and QGIS. Water, 16(5), Article 752. https://doi.org/10.3390/w16050752
Farid, M., Dewi, N. T., Adityawan, M. B., Nugroho, E. O., Alhamid, A. K., Wahid, A. N., & Sihombing, Y. I. (2025). Probabilistic urban flood risk assessment of multi-sectoral economic losses due to levee overtopping. Results in Engineering, 27, Article 106260. https://doi.org/10.1016/j.rineng.2025.106260
Farid, M., Marlina, A., & Kusuma, M. S. B. (2017). Flood hazard mapping of Palembang City by using 2D model. AIP Conference Proceedings, 1903, Article 100009. https://doi.org/10.1063/1.5011619
Firmana, A., Nugroho, E. O., Prasetiyo, A. R., Sulistiyani, M. W., & Akbar, A. T. (2026). Flood study of Sungai Penuh City in the Batang Merao Watershed (Case Study: Hamparan Rawang District). Jurnal Teknik Pertanian Lampung, 15(1), 124–134. https://doi.org/10.23960/jtepl.v15i1.124-134
Gunawan, W. C., Javas, J., Yosa, I. M., Suwarman, R., Farid, M., & Adityawan, M. B. (2025). Spatial modeling of high flood risk region in the Cikapundung River Basin using HEC-RAS 2D model. IOP Conference Series: Earth and Environmental Science, 1472, Article 012038.
Hosking, J. R. M., & Wallis, J. R. (1997). Regional frequency analysis: An approach based on L-moments. Cambridge University Press.
Huseiny, M., Kuntoro, A. A., Nugroho, E. O., & Kusuma, M. S. B. (2024). Dam-break risk analysis and mitigation at Pidekso dam, Wonogiri Regency, Central Java, Indonesia. Journal of Water Management Modeling, 32.
Isma, F., Kusuma, M. S. B., Nugroho, E. O., & Adityawan, M. B. (2024). Flood hazard assessment in Kuala Langsa village, Langsa city, Aceh Province–Indonesia. Case Studies in Chemical and Environmental Engineering, 10, Article 100861.
Kardhana, H., Valerian, J. R., Rohmat, F. I. W., & Kusuma, M. S. B. (2022). Improving Jakarta's Katulampa Barrage extreme water level prediction using satellite-based LSTM neural networks. Water, 14(9), Article 1469.
Kementerian Pekerjaan Umum dan Perumahan Rakyat. (2017). Survey Investigation Design (SID) pengendalian banjir Sungai Batang Merao di Kota Sungai Penuh. Direktorat Jenderal Sumber Daya Air.
Mandasari, N. (2020). Penanggulangan bencana banjir di Sungai Batang Merao pada BPBD Kota Sungai Penuh. Jurnal Administrasi Nusantara, 3(2), 43–51. https://doi.org/10.51279/jan.v3i2.344
Mechler, R. (2016). Reviewing estimates of the economic efficiency of disaster risk management: Opportunities and limitations of using risk-based cost–benefit analysis. Natural Hazards, 81(3), 2121–2147. https://doi.org/10.1007/s11069-016-2170-y
Merz, B., Thieken, A. H., & Gocht, M. (2010). Flood risk mapping at the local scale: Concepts and challenges. In S. Begum, M. J. F. Stive, & J. I. Hall (Eds.), Flood risk management in Europe: Innovation in policy and practice (pp. 231–267). Springer. https://doi.org/10.1007/978-90-481-9917-4_10
Mustamin, M. R., Basri, H., Mukhlis, S. P., & Rivai, A. K. (2024). Integration of UH SUH, HEC-RAS, and GIS in flood mitigation with flood forecasting and early warning system for Gilireng Watershed, Indonesia. Earth, 5(3), 438–458.
Ningsih, S. R., Ekaputra, E. G., & Goembira, F. (2020). Analisis ketersediaan, kebutuhan dan kualitas air pada DAS Batang Merao. Jurnal Ilmu Lingkungan, 18(3), 545–555.
Nugroho, E. O., Pranatan, A. Y., Soekarno, I., Moerwanto, A. S., Wulandari, S., Nurkhaerani, F., ... Sadat, S. H. (2024). The effect of discharge, sediment transport, tidal and land subsidence in the river flood risk management: Case study of Sayung River. Journal of Physics: Conference Series, 2916(1), Article 012017.
Nugroho, E. O., Sidiq, T. P., Syakira, H., Oriandra, R. D., Nurmaulia, S. L., Alpahrezi, M. R., ... Rosyidi, I. (2025). Flood hazard assessment of flood widening area due to land subsidence in Pekalongan, Central Java, Indonesia. IOP Conference Series: Earth and Environmental Science, 1551(1), Article 012041.
OECD. (2024). Nature-based solutions for flood management in Asia and the Pacific (OECD Development Centre Working Papers No. 351). OECD Publishing.
Rahayu, R., Mathias, S. A., Reaney, S., Vesuviano, G., Suwarman, R., & Ramdhan, A. M. (2023). Impact of land cover, rainfall and topography on flood risk in West Java. Natural Hazards, 116, 1735–1758.
Ridwan, K. S., & Baskoro, W. (2025). Flood modeling of Telomoyo Watershed in Kebumen using HEC-RAS for mapping flood risk zones. G-Tech: Jurnal Teknologi Terapan, 9(1), 223–233.
Sari, N. K., Herlina, N., & Hidayanto, H. (2025). Pemanfaatan model HEC-RAS dan metode ECLAC dalam menganalisis genangan banjir di daerah aliran Sungai Cilamajang. Teras Jurnal, 15(1), 100–113.
Sugianto, Deli, A., Miswar, E., Rusdi, M., & Irham, M. (2022). The effect of land use and land cover changes on flood occurrence in Teunom Watershed, Aceh Jaya. Land, 11(8), Article 1271. https://doi.org/10.3390/land11081271
US Army Corps of Engineers. (2016). HEC-HMS technical reference manual. Hydrologic Engineering Center.
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Copyright (c) 2026 Sulaiman Veda Ananta, Riana Alifya, Reza Ilham, Joko Nugroho, Eka Oktariyanto Nugroho (Author)
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