DOI: https://doi.org/10.14710/jpwk.v22i3.81040

Scenario-Based Flood Hazard and Risk Assessment Using Multi-Criteria Analysis in Semarang City

*Muhammad Nurul Huda  -  Departemen Geografi, Fakultas Ilmu Sosial, Universitas Negeri Malang, Jawa Timur, Indonesia
Nur Kahfi Mukhlisin Anwar  -  Departemen Geografi, Fakultas Ilmu Sosial, Universitas Negeri Malang, Jawa Timur, Indonesia
Sausan Rona Rafidah Pramono  -  Departemen Geografi, Fakultas Ilmu Sosial, Universitas Negeri Malang, Jawa Timur, Indonesia
Sitti Nurul Aini  -  Departemen Geografi, Fakultas Ilmu Sosial, Universitas Negeri Malang, Jawa Timur, Indonesia
Heni Masruroh orcid scopus  -  Departemen Geografi, Fakultas Ilmu Sosial, Universitas Negeri Malang, Jawa Timur, Indonesia

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Abstract

This study assessed flood hazard and risk in Semarang City, where increasing hydrometeorological pressures and rapid urban development have heightened flood impacts. An integrated Geographic Information System and multi-criteria spatial modeling approach was applied by combining terrain parameters (slope, height above nearest drainage, distance to stream), hydrological factors (curve number, total precipitation, effective precipitation), and demographic indicators representing social vulnerability. Physical parameters were derived from DEM-based processing and rainfall interpolation, while vulnerability was quantified from population structure, education level, and density. Three hazard scenarios were generated using different weighting schemes, and the resulting hazard layers were multiplied by the social vulnerability index to produce spatially explicit risk maps. Scenario 1 produced hazard patterns more strongly associated with drainage networks and terrain, while Scenario 2 generated more dispersed patterns under the stronger influence of effective precipitation. Scenario 3 formed broader precipitation-driven zones. Flood-risk assessment showed that Scenario 2 had the largest combined High and Very High risk area (13,849.92 ha; 42.00%), followed by Scenario 1 (13,190.40 ha; 40.00%) and Scenario 3 (12,940.01 ha; 39.24%). Validation using 86 ground-referenced points showed the highest model performance for Scenario 1, with an Overall Accuracy of 90.12% and a Kappa coefficient of 0.80, followed by Scenario 3 at 89.53% and 0.79, while Scenario 2 reached 84.88% and 0.70. The results show that changes in parameter weighting alter both spatial risk patterns and predictive performance across Semarang City.

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Keywords: Flood Hazard; Flood Risk; GIS; Multi-kriteria Analysis; Semarang

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  1. Abidin, H. Z., Andreas, H., Gumilar, I., Sidiq, T. P., & Fukuda, Y. (2013). Land subsidence in coastal city of Semarang (Indonesia): Characteristics, impacts and causes. Geomatics, Natural Hazards and Risk, 4(3), 226–240. https://doi.org/10.1080/19475705.2012.692336
  2. Adnan, M. S. G., Abdullah, A. Y. M., Dewan, A., & Hall, J. W. (2020). The effects of changing land use and flood hazard on poverty in coastal Bangladesh. Land Use Policy, 99, 104868. https://doi.org/10.1016/j.landusepol.2020.104868
  3. Aidinidou, M. T., Kaparis, K., & Georgiou, A. C. (2023). Analysis, prioritization and strategic planning of flood mitigation projects based on sustainability dimensions and a spatial/value AHP–GIS system. Expert Systems with Applications, 211, 118566. https://doi.org/10.1016/j.eswa.2022.118566
  4. Ajtai, I., Ștefănie, H., Maloș, C., Botezan, C., Radovici, A., Bizău-Cârstea, M., & 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
  5. Akay, H., & Baduna Koçyiğit, M. (2024). Investigation of flood hazard susceptibility using various distance measures in technique for order preference by similarity to ideal solution. Applied Sciences, 14(16), 7023. https://doi.org/10.3390/app14167023
  6. Alshaikh, R. Z., Abdulmunem, S. A., & Alkinani, A. S. (2023). A review on urban planning and its role in managing flood risks. Urban Planning and Construction, 1(1), 1–8. https://doi.org/10.55121/upc.v1i1.104
  7. Andreas, H., Abidin, H. Z., Gumilar, I., Sidiq, T. P., & Yuwono, B. D. (2017). Adaptation and mitigation of land subsidence in Semarang. In AIP Conference Proceedings, 1857, 060005. https://doi.org/10.1063/1.4987088
  8. Ariyani, D., Purwanto, M. Y. J., Sunarti, E., Perdinan, & 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
  9. Ashhar, M., Keesara, V. R., & Sridhar, V. (2025). Flood inundation mapping of a river stretch using machine learning algorithms in the Google Earth Engine environment. Journal of Flood Risk Management, 18(2), e70062. https://doi.org/10.1111/jfr3.70062
  10. Atalay, E., Gündüz Zeybekoğlu, F., Torpuş, K., & Usta, G. (2025). Flood disaster experiences of elderly individuals living in the western Black Sea region of Türkiye: A phenomenological study. BMC Geriatrics, 25, 717. https://doi.org/10.1186/s12877-025-06323-8
  11. Bagaskara, A. A., & Hartomo, K. D. (2024). Classification of flood-prone areas using 10-fold cross validation and K-nearest neighbors. SISTEMASI, 13(1), 315–323. https://doi.org/10.32520/stmsi.v13i1.3637
  12. Basak, A., Rahman, A. T. M. S., Das, J., Hosono, T., & Kisi, O. (2022). Drought forecasting using the Prophet model in a semi-arid climate region of western India. Hydrological Sciences Journal, 67(9), 1397–1417. https://doi.org/10.1080/02626667.2022.2082876
  13. Catalao, J., Raju, D., & Nico, G. (2020). InSAR maps of land subsidence and sea level scenarios to quantify the flood inundation risk in coastal cities: The case of Singapore. Remote Sensing, 12(2), 296. https://doi.org/10.3390/rs12020296
  14. Cerulli, D., Scott, M., Aunap, R., Kull, A., Pärn, J., Holbrook, J., & Mander, Ü. (2020). The role of education in increasing awareness and reducing impact of natural hazards. Sustainability, 12(18), 7623. https://doi.org/10.3390/su12187623
  15. Challies, E., Newig, J., Thaler, T., Kochskämper, E., & Levin-Keitel, M. (2016). Participatory and collaborative governance for sustainable flood risk management: An emerging research agenda. Environmental Science & Policy, 55(2), 275–280. https://doi.org/10.1016/j.envsci.2015.09.012
  16. Chen, R., Dou, H., Lin, Y., Liu, Q., & Jian, W. (2024). In-situ infiltration–runoff characterization of slopes under the influences of different rainfall patterns and slope gradients. CATENA, 247, 108519. https://doi.org/10.1016/j.catena.2024.108519
  17. Clar, C., Junger, L., Nordbeck, R., & Thaler, T. (2023). The impact of demographic developments on flood risk management systems in rural regions in the Alpine Arc. International Journal of Disaster Risk Reduction, 90, 103648. https://doi.org/10.1016/j.ijdrr.2023.103648
  18. Couñago, E., García-Pintos, A., Caballero, G., & León-Mateos, F. (2024). Analysing coastal flood risk: Assessing the impact on critical water infrastructures. Water Resources Management, 38, 1791–1806. https://doi.org/10.1007/s11269-024-03766-3
  19. Dulawan, J. M. T., Imamura, Y., Konishi, T., Amaguchi, H., & Ohara, M. (2024). A systematic framework for assessing social vulnerability to flood for integrated flood risk management: A case study in Metro Manila, Philippines. International Journal of Disaster Risk Reduction, 112, 104778. https://doi.org/10.1016/j.ijdrr.2024.104778
  20. Ekmekcioğlu, Ö., Koç, K., & Özger, M. (2022). Towards flood risk mapping based on multi-tiered decision making in a densely urbanized metropolitan city of Istanbul. Sustainable Cities and Society, 80, 103759. https://doi.org/10.1016/j.scs.2022.103759
  21. Eniyew, S., Meshesha, D. T., Zeleke, G. A., & Wassie, S. B. (2024). Combining geospatial information and SCS-CN for surface runoff estimation in Rib watershed, upper Blue Nile Basin, Ethiopia. Geomatics, Natural Hazards and Risk, 15(1), 2338533. https://doi.org/10.1080/19475705.2024.2338533
  22. Findayani, A., Hayati, R., Amrullah, M. F., & Rahman, A.-U. (2024). Towards a resilient city: Analyzing Semarang preparedness in facing disaster related to climate change, Indonesia. Jambura Geo Education Journal, 5(1), 54–66. https://doi.org/10.37905/jgej.v5i1.24470
  23. Gumilar, I., Abidin, H. Z., Sidiq, T. P., Andreas, H., Maiyudi, R., Gamal, M., & Fukuda, Y. (2013). Mapping and evaluating the impact of land subsidence in Semarang (Indonesia). Indonesian Journal of Geospatial, 2(2), 26–41. https://journals.itb.ac.id/index.php/ijog/article/view/2185
  24. Hamdani, R. S., Hadi, S. P., & Rudiarto, I. (2022). Housing challenges in sinking coastal city: Rethinking urban housing in subsidence area for a more resilient community. In IOP Conference Series: Earth and Environmental Science, 1007(1), 012017. https://doi.org/10.1088/1755-1315/1007/1/012017
  25. Hanif, I. M., Pudyastuti, P. S., Sulaiman, M. I., & Aisyah, S. (2023). Green Waterfront City, future perspectives for sustainable city in tidal flooding prone area at northern Semarang. Dinamika Teknik Sipil, 16(2), 88–96. https://doi.org/10.23917/dts.v16i2.23274
  26. Herbanu, P. S., Nurmaya, A., Nisaa, R. M., Wardana, R. A., & Sahid. (2024). The zoning of flood disasters by combining tidal flood and urban flood in Semarang City, Indonesia. In IOP Conference Series: Earth and Environmental Science, 1314, 012028. https://doi.org/10.1088/1755-1315/1314/1/012028
  27. Herdiansyah, A. R., Zahra, R. A., Masjoyo, Y. M., Muhammad, A. F., Saputra, M. R., Firdauzi, L. B., Hafizha, K. P., & Nurjani, E. (2022). Analysis of meteorological water availability and water demand in Semarang Regency. In IOP Conference Series: Earth and Environmental Science, 1039(1), 012011. https://doi.org/10.1088/1755-1315/1039/1/012011
  28. Hermawan, E., Lubis, S. W., Harjana, T., Purwaningsih, A., Risyanto, Ridho, A., Andarini, D. F., Ratri, D. N., & Widyaningsih, R. (2022). Large-scale meteorological drivers of the extreme precipitation event and devastating floods of early-February 2021 in Semarang, Central Java, Indonesia. Atmosphere, 13(7), 1092. https://doi.org/10.3390/atmos13071092
  29. Hildayanto, A. (2020). Pengetahuan dan sikap kesiapsiagaan masyarakat terhadap bencana banjir. HIGEIA (Journal of Public Health Research and Development), 4(4), 577–586. https://doi.org/10.15294/higeia.v4i4.38362
  30. Hirabayashi, Y., Mahendran, R., Koirala, S., Konoshima, L., Yamazaki, D., Watanabe, S., Kim, H., & Kanae, S. (2013). Global flood risk under climate change. Nature Climate Change, 3(9), 816–821. https://doi.org/10.1038/nclimate1911
  31. Hoffmann, R., & Blecha, D. (2020). Education and disaster vulnerability in Southeast Asia: Evidence and policy implications. Sustainability, 12(4), 1401. https://doi.org/10.3390/su12041401
  32. Hussain, M., Tayyab, M., Ullah, K., Ullah, S., Rahman, Z. U., Zhang, J., & Al-Shaibah, B. (2023). Development of a new integrated flood resilience model using machine learning with GIS-based multi-criteria decision analysis. Urban Climate, 50, 101589. https://doi.org/10.1016/j.uclim.2023.101589
  33. Ikhwanudin. (2017). The handling of tidal flood (rob) with polder system. In Proceedings of the 3rd International Conference on Coastal and Delta Areas (pp. 372–382)
  34. Janizadeh, S., Pal, S. C., Saha, A., Chowdhuri, I., Ahmadi, K., Mirzaei, S., Mosavi, A. H., & Tiefenbacher, J. P. (2021). Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future. Journal of Environmental Management, 298, 113551. https://doi.org/10.1016/j.jenvman.2021.113551
  35. Jha, R. K., & Gundimeda, H. (2019). An integrated assessment of vulnerability to floods using composite index—A district level analysis for Bihar, India. International Journal of Disaster Risk Reduction, 35, 101074. https://doi.org/10.1016/j.ijdrr.2019.101074
  36. Kawata, Y. (2022). Green infrastructures in Megacity Jakarta: Current status and possibilities of mangroves for flood damage mitigation. In Green infrastructure and climate change adaptation (pp. 335–351). Springer. https://doi.org/10.1007/978-981-16-6791-6_21
  37. Kefi, M., Mishra, B. K., Masago, Y., & Fukushi, K. (2020). Analysis of flood damage and influencing factors in urban catchments: Case studies in Manila, Philippines, and Jakarta, Indonesia. Natural Hazards, 104(3), 2461–2487. https://doi.org/10.1007/s11069-020-04281-5
  38. Kurniawan, E., & Suharini, E. (2021). Flood disaster in Semarang City from colonial to Reformasi: A review of its management. Paramita: Historical Studies Journal, 31(2), 184–193. https://doi.org/10.15294/paramita.v31i2.22879
  39. Lo, W., Purnomo, S. N., Dewanto, B. G., Sarah, D., & Sumiyanto. (2022). Integration of numerical models and InSAR techniques to assess land subsidence due to excessive groundwater abstraction in the coastal and lowland regions of Semarang City. Water, 14(2), 201. https://doi.org/10.3390/w14020201
  40. Lo, W., Purnomo, S. N., Sarah, D., Aghnia, S., & Hardini, P. (2021). Groundwater modelling in urban development to achieve sustainability of groundwater resources: A case study of Semarang City, Indonesia. Water, 13(10), 1395. https://doi.org/10.3390/w13101395
  41. Matheswaran, K., Alahacoon, N., Pandey, R., & Amarnath, G. (2019). Flood risk assessment in South Asia to prioritize flood index insurance applications in Bihar, India. Geomatics, Natural Hazards and Risk, 10(1), 26–48. https://doi.org/10.1080/19475705.2018.1500495
  42. Maulana, M. I., & Maulana, M. I. (2023). Analisis optimalisasi ketahanan daerah berbasis GIS, remote sensing dan cloud untuk manajemen banjir dan rob di Kota Semarang. Jurnal Riptek, 17(1), 71–78. https://doi.org/10.35475/riptek.v17i1.196
  43. Murtiaji, C., Irfani, M., Fauzi, I., Marta, A. S. D., Sukmana, C., & Wulandari, D. A. (2023). Methods for addressing tidal floods in coastal cities: An overview. In IOP Conference Series: Earth and Environmental Science, 1224, 012019. https://doi.org/10.1088/1755-1315/1224/1/012019
  44. Nicholls, R. J., Lincke, D., Hinkel, J., Brown, S., Vafeidis, A. T., Meyssignac, B., Hanson, S. E., Merkens, J. L., & Fang, J. (2021). A global analysis of subsidence, relative sea-level change and coastal flood exposure. Nature Climate Change, 11, 338–342. https://doi.org/10.1038/s41558-021-00993-z
  45. Osman, S. A., & Das, J. (2023). GIS-based flood risk assessment using multi-criteria decision analysis of Shebelle River Basin in southern Somalia. SN Applied Sciences, 5, 134. https://doi.org/10.1007/s42452-023-05360-5
  46. Ozcelik, C., Yilmaz, M. U., & Benli, K. (2024). Assessing drought in Turkish basins through satellite observations. International Journal of Climatology, 44(10), 3613–3640. https://doi.org/10.1002/joc.8541
  47. Pandey, A. C., Singh, S. K., & Nathawat, M. S. (2010). Waterlogging and flood hazards vulnerability and risk assessment in Indo-Gangetic Plain. Natural Hazards, 55(2), 273–289. https://doi.org/10.1007/s11069-010-9525-6
  48. Permanahadi, A., & Widowati, E. (2022). Bagaimana mitigasi bencana banjir di Kota Semarang?. HIGEIA (Journal of Public Health Research and Development), 6(2), 225–235. https://doi.org/10.15294/higeia.v6i2.53812
  49. Phraknoi, N., Sutanto, J., Hu, Y., Goh, Y. S., & Lee, C. E. C. (2023). Older people’s needs in urban disaster response: A systematic literature review. International Journal of Disaster Risk Reduction, 96, 103809. https://doi.org/10.1016/j.ijdrr.2023.103809
  50. Pramono, I. B. (2021). Nature-based solutions for integrating flood and land subsidence: A case study in Jakarta and Semarang. In IOP Conference Series: Earth and Environmental Science, 874, 012001. https://doi.org/10.1088/1755-1315/874/1/012001
  51. Prasetya, A. D., & Purwantara, S. (2025). Pemodelan spasial risiko banjir rob di pesisir Kota Semarang berbasis sistem informasi geografis. GeoEducasia: Journal of Geographical Research, 1(1), 101–119. https://journal.uny.ac.id/publications/geoeducasia/article/view/1758
  52. Prasetyo, Y., Fahrudin, & Islam, L. J. F. (2017). Analysis of spatial correlation between the phenomenon land subsidence and rob (tidal inundation) using Sentinel-1 SAR, GPS and geological data in Semarang City–Indonesia. In AIP Conference Proceedings, 1857, 060008. https://doi.org/10.1063/1.4987102
  53. Purwanto, A., & Paiman. (2023). Height above nearest drainage (HAND) as a model for rapid flood inundation mapping based on remote sensing and geographic information systems in the Kapuas Sintang Sub Watershed. Jurnal Penelitian Pendidikan IPA, 9(8), 5899–5905. https://doi.org/10.29303/jppipa.v9i8.3037
  54. Rachma, T. R. N., Koestoer, R. H. T., & Chotib. (2025). Towards a disaster resilient city through coastal flood analysis: Study case of Semarang, Indonesia. In R. Haynes (Ed.), Pollution and its minimization: ICEPP 2023 (pp. 116–132). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-1270-3_9
  55. Rahdriawan, M., Yuliastuti, N., & Indrosaptono, D. (2021). Sustainability of old Semarang to world heritage: Challenges in coastal area. In IOP Conference Series: Earth and Environmental Science, 799, 012018. https://doi.org/10.1088/1755-1315/799/1/012018
  56. Rincón, D., Khan, U. T., & Armenakis, C. (2018). Flood risk mapping using GIS and multi-criteria analysis: A Greater Toronto Area case study. Geosciences, 8(8), 275. https://doi.org/10.3390/geosciences8080275
  57. Roccati, A., Luino, F., Turconi, L., Piana, P., Watkins, C., & Faccini, F. (2018). Historical geomorphological research of a Ligurian coastal floodplain (Italy) and its value for management of flood risk and environmental sustainability. Sustainability, 10(10), 3727. https://doi.org/10.3390/su10103727
  58. Rogers, J. S., Maneta, M. M., Sain, S. R., Madaus, L. E., & Hacker, J. P. (2025). The role of climate and population change in global flood exposure and vulnerability. Nature Communications, 16, 1287. https://doi.org/10.1038/s41467-025-56654-8
  59. Romadhon, M. R., & Aziz, A. (2022). Determination of flood susceptibility index using overlay-scoring data method based on Geographic Information System (GIS) in Semarang City, Central Java, Indonesia. AgriHealth: Journal of Agri-food, Nutrition and Public Health, 3(2), 104–123. https://doi.org/10.20961/agrihealth.v3i2.60451
  60. Sahraei, R., Kanani-Sadat, Y., Homayouni, S., Safari, A., Oubennaceur, K., & Chokmani, K. (2023). A novel hybrid GIS-based multi-criteria decision-making approach for flood susceptibility analysis in large ungauged watersheds. Journal of Flood Risk Management, 16(2), e12879. https://doi.org/10.1111/jfr3.12879
  61. Sakina, S. L., Ningsih, N. S., & Prayogi, A. (2025). Investigating wave characteristics in the Java Sea and potential influencing factors: A case study of coastal flooding along the northern coast of Semarang City, Indonesia (May 23, 2022). Anthropocene Coasts, 8, 44. https://doi.org/10.1007/s44218-025-00122-9
  62. Sarkar, D., Saha, S., & Mondal, P. (2022). GIS-based frequency ratio and Shannon’s entropy techniques for flood vulnerability assessment in Patna district, Central Bihar, India. International Journal of Environmental Science and Technology, 19(9), 8911–8932. https://doi.org/10.1007/s13762-021-03627-1
  63. Şen, Z. (2018). Flood modeling, prediction and mitigation. Springer. https://doi.org/10.1007/978-3-319-52356-9
  64. Slinger, J. H., Cunningham, S. C., & Kothuis, B. L. (2023). A co-design method for including stakeholder perspectives in nature-based flood risk management. Natural Hazards, 119, 1171–1191. https://doi.org/10.1007/s11069-023-06139-y
  65. Son, C. H., Lee, C. H., & Ban, Y. U. (2023). Analysis of the impact and moderating effect of high-density development on urban flooding. Heliyon, 9(12), e22695. https://doi.org/10.1016/j.heliyon.2023.e22695
  66. Spiteri, D., & Gauci, R. (2022). Coastal flood risks and the business community: Stakeholders’ perception in Malta. Climate, 10(9), 132. https://doi.org/10.3390/cli10090132
  67. Suherman, H. N., Setianingsih, A. I., & Handawati, R. (2023). The analysis of social vulnerability to rob floods in North Semarang District. Jurnal Pendidikan Geografi Undiksha, 11(2), 179–187. https://doi.org/10.23887/jjpg.v11i2.59398
  68. Sunaryo, S., Ambariyanto, A., Sugianto, D. N., Helmi, M., Kaimuddin, A. H., & Indarjo, A. (2018). Risk analysis of coastal disaster of Semarang City, Indonesia. In E3S Web of Conferences, 31, 12009. https://doi.org/10.1051/e3sconf/20183112009
  69. Suryanto, S., Sholeh, S., Utomowati, R., & Hidayat, A. (2026). Assessment of social vulnerability to floods in the Samin watershed, Indonesia. Jàmbá: Journal of Disaster Risk Studies, 18(1), a1947. https://doi.org/10.4102/jamba.v18i1.1947
  70. Susilorini, R. R. M. I. R., Vidayanti, D., Fitra, H. A., & Santosa, B. (2019). Can we adapt to tidal flooding? In AIP Conference Proceedings, 2114, 060008. https://doi.org/10.1063/1.5112454
  71. Susilowardhani, A. (2014). The potential of strategic environmental assessment to address the challenges of climate change to reduce the risks of disasters: A case study from Semarang, Indonesia. Procedia—Social and Behavioral Sciences, 135, 3–9. https://doi.org/10.1016/j.sbspro.2014.07.317
  72. Swain, K. C., Singha, C., & Nayak, L. (2020). Flood susceptibility mapping through the GIS-AHP technique using the cloud. ISPRS International Journal of Geo-Information, 9(12), 720. https://doi.org/10.3390/ijgi9120720
  73. Syamsurizal, I., Patria, M., Koestoer, R., & Harmantyo, D. (2020). A conceptual model for Semarang City sustainability. In Proceedings of the 1st International Conference on Environmental Science and Sustainable Development (ICESSD 2019). https://doi.org/10.4108/eai.22-10-2019.2291484
  74. Tabasi, N., Fereshtehpour, M., & Roghani, B. (2025). A review of flood risk assessment frameworks and the development of hierarchical structures for risk components. Discover Water, 5, 10. https://doi.org/10.1007/s43832-025-00193-2
  75. Tay, C., Lindsey, E. O., Chin, S. T., McCaughey, J. W., Bekaert, D., Nguyen, M., Hua, H., Manipon, G., Karim, M., Horton, B. P., Li, T., & Hill, E. M. (2022). Sea-level rise from land subsidence in major coastal cities. Nature Sustainability, 5(12), 1049–1057. https://doi.org/10.1038/s41893-022-00947-z
  76. Tellman, B., Sullivan, J. A., Kuhn, C., Kettner, A. J., Doyle, C. S., Brakenridge, G. R., Erickson, T. A., & Slayback, D. A. (2021). Satellite imaging reveals increased proportion of population exposed to floods. Nature, 596, 80–86. https://doi.org/10.1038/s41586-021-03695-w
  77. Tripathi, G., Pandey, A. C., & Parida, B. R. (2022). Flood hazard and risk zonation in North Bihar using satellite-derived historical flood events and socio-economic data. Sustainability, 14(3), 1472. https://doi.org/10.3390/su14031472
  78. Ujianti, R. M. D., Novita, M., & Muflihati, I. (2023). Mitigation strategy of disaster based on information technology in Semarang City. Indonesian Journal on Geoscience, 10(2), 201–214. https://doi.org/10.17014/ijog.10.2.201-214
  79. Ulfani, A., Helmi, M., & Kunarso. (2024). Studi area genangan banjir pasang dan dampaknya terhadap penggunaan lahan pesisir berdasarkan pemodelan geospasial di Kecamatan Genuk, Kota Semarang, Jawa Tengah. Indonesian Journal of Oceanography, 6(2), 188–196. https://doi.org/10.14710/ijoce.v6i2.16889
  80. Vaheddoost, B., Yilmaz, M. U., & Safari, M. J. S. (2023). Estimation of flow duration and mass flow curves in ungauged tributary streams. Journal of Cleaner Production, 409, 137246. https://doi.org/10.1016/j.jclepro.2023.137246
  81. Vojtek, M., Vojteková, J., Costache, R., Pham, Q. B., Lee, S., Arshad, A., Sahoo, S., Linh, N. T. T., & Anh, D. T. (2021). Comparison of multi-criteria-analytical hierarchy process and machine learning-boosted tree models for regional flood susceptibility mapping: A case study from Slovakia. Geomatics, Natural Hazards and Risk, 12(1), 1153–1180. https://doi.org/10.1080/19475705.2021.1912835
  82. Welkis, D. F. B., Harisuseno, D., Wahyuni, S., & Beselly, S. M. (2023). Determination of Curve Number for the Temef Watershed, Timor Tengah Selatan Regency. Jurnal Teknik Pengairan: Journal of Water Resources Engineering, 14(2), 103–113. https://doi.org/10.21776/ub.pengairan.2023.014.02.1
  83. Wieczorek, M. E., Jackson, S. E., & Schwarz, G. E. (2019). Soil Hydrologic Groups [Data set]. U.S. Geological Survey. https://doi.org/10.5066/F7765D7V
  84. Wijaya, N. (2016). Coastal community’s responses to water infrastructure under climate-related disaster in Semarang City, Indonesia. ASEAN Engineering Journal, 5(1), 14–33. https://doi.org/10.11113/aej.v5.15469
  85. Wisanggeni, D. H., Sitorus, J. E., Putra, K. H. P., & Adityawan, M. B. (2024). Pengaruh perubahan tutupan lahan terhadap debit banjir di Kawasan Inti Pusat Pemerintahan (KIPP) Ibu Kota Nusantara. Jurnal Teknik Sipil dan Lingkungan, 9(2), 327–338. https://doi.org/10.29244/jsil.9.2.327-338
  86. Wungo, G. L., Dewi, S. P., Mussadun, Rofiati, C., Hangkalea, M. P., & Pratama, R. A. (2025). Flood risk evacuation system in Tanjung Mas, Semarang City. Indonesian Journal of Geography, 57(1), 70–79. https://doi.org/10.22146/ijg.98406
  87. Xie, Z., & Shu, B. (2025). Risk assessment and spatial zoning of rainstorm and flood hazards in mountainous cities using the random forest algorithm and the SCS model. Land, 14(3), 453. https://doi.org/10.3390/land14030453
  88. Yasmin, M. N., Mohd Razali, S. F., Sharil, S., Wan Mohtar, W. H. M., & Saadon, K. A. (2022). Effectiveness of tidal control gates in flood-prone areas during high tide appearances. Frontiers in Environmental Science, 10, 919704. https://doi.org/10.3389/fenvs.2022.919704
  89. Yilmaz, M. U., Aksu, H., Onoz, B., & Selek, B. (2023). An effective framework for improving performance of daily streamflow estimation using statistical methods coupled with artificial neural network. Pure and Applied Geophysics, 180, 3639–3654. https://doi.org/10.1007/s00024-023-03344-5
  90. Yoga, A. G. H., Marfai, M. A., & Hizbaron, D. R. (2020). Identification of element at risk due to tidal flood hazard in Genuk Sub-District coastal area. In IOP Conference Series: Earth and Environmental Science, 451, 012008. https://doi.org/10.1088/1755-1315/451/1/012008
  91. Yuwono, B. D., Abidin, H. Z., Poerbandono, Andreas, H., Pratama, A. S. P., & Gradiyanto, F. (2024). Mapping of flood hazard induced by land subsidence in Semarang City, Indonesia, using hydraulic and spatial models. Natural Hazards, 120(6), 5333–5368. https://doi.org/10.1007/s11069-023-06398-9
  92. Zanaga, D., Van De Kerchove, R., De Keersmaecker, W., Souverijns, N., Brockmann, C., Quast, R., Wevers, J., Grosu, A., Paccini, A., Vergnaud, S., Cartus, O., Santoro, M., Fritz, S., Georgieva, I., Lesiv, M., Carter, S., Herold, M., Li, L., Tsendbazar, N.-E., Arino, O. (2021). ESA WorldCover 10 m 2020 v100 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5571936

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