(Universitas Bangka Belitung, Indonesia)
(2) Fadiah Izzah Ajrina
(Universitas Bangka Belitung, Indonesia)(3) Muhammad Yusuf Caesar
(Universitas Bangka Belitung, Indonesia)(4) Haya Aqilah Maulidya
(Universitas Bangka Belitung, Indonesia)(5) Tirta Mustika
(Universitas Bangka Belitung, Indonesia)*Corresponding author
AbstractFlooding is a recurring environmental challenge in Pangkal Pinang City, influenced by both natural topographic conditions and increasingly intensive land use changes. This study aims to assess spatial flood risk using the Topographic Wetness Index (TWI) as a hydrological indicator derived from Digital Elevation Model (DEM) data. Through slope and flow accumulation analysis, TWI values were calculated and classified using the equal interval method into five classes: very low, low, medium, high, and very high. The results show that the majority of the area falls into the very low and low categories, indicating good drainage conditions. However, localized zones of high and very high TWI values were identified in Bukit Intan, Gabek, and Rangkui sub-districts. In Bukit Intan, high flood susceptibility is linked to large-scale land clearing for industrial areas, residential expansion, and fish ponds. In Gabek, extensive deforestation for new settlements contributes to increasing flood risks. Meanwhile, in Rangkui, the accumulation of water is exacerbated by the density of existing built-up areas and insufficient drainage infrastructure. These findings highlight the relevance of TWI as a spatial analysis tool to support urban flood mitigation planning, especially in areas undergoing rapid land conversion. The study emphasizes the need to integrate topographic analysis into urban development policies to ensure flood-resilient growth.
KeywordsTopographic Wetness Index; Flood Risk; Spatial Analysis; Pangkal Pinang
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DOIhttps://doi.org/10.33122/ejeset.v6i2.826 |
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References
Afsari, R., Shorabeh, S. N., Kouhnavard, M., Homaee, M., & Arsanjani, J. J. (2022). A Spatial Decision Support Approach for Flood Vulnerability Analysis in Urban Areas: A Case Study of Tehran. ISPRS International Journal of Geo-Information, 11(7). https://doi.org/10.3390/ijgi11070380
Al Fauzi, R. (2022). Analisis Tingkat Kerawanan Banjir Kota Bogor Menggunakan Metode Overlaydan ScoringBerbasis Sistem Informasi Geografis. Geomedia, 20(2), 96–107.
Almagro, A., Oliveira, P. T. S. de, Neto, A. A. M., Roy, T., & Troch, P. A. (2021). CABra: A Novel Large-Sample Dataset for Brazilian Catchments. Hydrology and Earth System Sciences, 25(6), 3105–3135. https://doi.org/10.5194/hess-25-3105-2021
Amaliah, R., & Syabandi, Muh. A. (2023). Analysis of Flood Susceptibility Using Frequency Ratio Method in Paremang Watershed. Iop Conference Series Earth and Environmental Science, 1277(1), 12017. https://doi.org/10.1088/1755-1315/1277/1/012017
Astagneau, P. C., Thirel, G., Delaigue, O., Guillaume, J. H. A., Párajka, J., Brauer, C., Viglione, A., Buytaert, W., & Beven, K. (2021). Technical Note: Hydrology Modelling R Packages – A Unified Analysis of Models and Practicalities From a User Perspective. Hydrology and Earth System Sciences, 25(7), 3937–3973. https://doi.org/10.5194/hess-25-3937-2021
Aziza, S. N., Somantri, L., & Setiawan, I. (2021). Analisis pemetaan tingkat rawan banjir di Kecamatan Bontang Barat Kota Bontang berbasis sistem informasi geografis. Jurnal Pendidikan Geografis Undiksha, 9(2), 109–120.
Basri, H., Syakur, S., Azmeri, A., & Fatimah, E. (2022). Floods and Their Problems: Land Uses and Soil Types Perspectives. Iop Conference Series Earth and Environmental Science, 951(1), 12111. https://doi.org/10.1088/1755-1315/951/1/012111
Fang, J., Wahl, T., Fang, J., Sun, X., Kong, F., & Liu, M. (2021). Compound Flood Potential From Storm Surge and Heavy Precipitation in Coastal China: Dependence, Drivers, and Impacts. Hydrology and Earth System Sciences, 25(8), 4403–4416. https://doi.org/10.5194/hess-25-4403-2021
Fatah, K. K., Mustafa, Y. T., & Hassan, I. O. (2022). Flood Susceptibility Mapping Using an Analytic Hierarchy Process Model Based on Remote Sensing and GIS Approaches in Akre District, Kurdistan Region, Iraq. Iraqi Geological Journal, 55(2C), 121–149. https://doi.org/10.46717/igj.55.2c.10ms-2022-08-23
Fatone, F., Szeląg, B., Kiczko, A., Majerek, D., Majewska, M., Drewnowski, J., & Łagód, G. (2021). Advanced Sensitivity Analysis of the Impact of the Temporal Distribution and Intensity of Rainfall on Hydrograph Parameters in Urban Catchments. Hydrology and Earth System Sciences, 25(10), 5493–5516. https://doi.org/10.5194/hess-25-5493-2021
Fitra, J., Debataraja, S. M. T., & Lismawaty. (2024). Identification of flood vulnerability using the topographic wetness index method in Pantai Labu Baru village, Deli Serdang, North Sumatera. E3S Web of Conferences, 483, 01014. https://doi.org/10.1051/e3sconf/202448301014
Fitriansyah, H., Setiawan, F., Caesar, M. Y., & Maulidya, H. A. (2024). Analisis Sebaran Kerawanan Banjir Menggunakan Metode Spatial Multi-Criteria Evaluation (SMCE) di Kota Pangkalpinang. Journal of Education, Humaniora and Social Sciences (JEHSS), 7(2), 797–809. https://doi.org/10.34007/jehss.v7i2.2398
Gabriels, K., Willems, P., & Orshoven, J. V. (2020). A Data-Driven Analysis, and Its Limitations, of the Spatial Flood Archive of Flanders, Belgium to Assess the Impact of Soil Sealing on Flood Volume and Extent. Plos One, 15(10), e0239583. https://doi.org/10.1371/journal.pone.0239583
Gao, C., Booij, M. J., & Xu, Y. (2020). Assessment of Extreme Flows and Uncertainty Under Climate Change: Disentangling the Uncertainty Contribution of Representative Concentration Pathways, Global Climate Models and Internal Climate Variability. Hydrology and Earth System Sciences, 24(6), 3251–3269. https://doi.org/10.5194/hess-24-3251-2020
Gao, Y., Yao, L., Chang, N., & Wang, D. (2021). Diagnosis Toward Predicting Mean Annual Runoff in Ungauged Basins. Hydrology and Earth System Sciences, 25(2), 945–956. https://doi.org/10.5194/hess-25-945-2021
Halabisky, M., Miller, D., Stewart, A. J., Yahnke, A., Lorigan, D., Brasel, T., & Moskal, L. M. (2023). The Wetland Intrinsic Potential Tool: Mapping Wetland Intrinsic Potential Through Machine Learning of Multi-Scale Remote Sensing Proxies of Wetland Indicators. Hydrology and Earth System Sciences, 27(20), 3687–3699. https://doi.org/10.5194/hess-27-3687-2023
Harrigan, S., Zsótér, E., Cloke, H., Salamon, P., & Prudhomme, C. (2023). Daily Ensemble River Discharge Reforecasts and Real-Time Forecasts from the Operational Global Flood Awareness System. Hydrology and Earth System Sciences, 27(1), 1–19. https://doi.org/10.5194/hess-27-1-2023
Hojati, M., & Mokarram, M. (2016). Determination of a topographic wetness index using high resolution digital elevation models. European Journal of Geography, 7(4), 41–52.
Jafarzadegan, K., Abbaszadeh, P., & Moradkhani, H. (2021). Sequential Data Assimilation for Real-Time Probabilistic Flood Inundation Mapping. Hydrology and Earth System Sciences, 25(9), 4995–5011. https://doi.org/10.5194/hess-25-4995-2021
Jiang, S., Bevacqua, E., & Zscheischler, J. (2022). River Flooding Mechanisms and Their Changes in Europe Revealed by Explainable Machine Learning. Hydrology and Earth System Sciences, 26(24), 6339–6359. https://doi.org/10.5194/hess-26-6339-2022
Khoirunisa, R. (2023). Urban Flood And Its Correlation With Built-Up Area In Semarang, Indonesia. Smart City, 3(2). https://doi.org/10.56940/sc.v3.i2.2
Khumaeroh, D. N. F., & Sari, D. N. (2024). Application of Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) in Flood Hazard Analysis in the Rawa Pening Sub-Watershed, Indonesia. Iop Conference Series Earth and Environmental Science, 1314(1), 12114. https://doi.org/10.1088/1755-1315/1314/1/012114
Larson, J., Lidberg, W., Ågren, A., & Laudon, H. (2022). Predicting Soil Moisture Conditions Across a Heterogeneous Boreal Catchment Using Terrain Indices. Hydrology and Earth System Sciences, 26(19), 4837–4851. https://doi.org/10.5194/hess-26-4837-2022
Maina, F. Z., Wainwright, H., Dennedy‐Frank, P. J., & Siirila‐Woodburn, E. R. (2022). On the Similarity of Hillslope Hydrologic Function: a Clustering Approach Based on Groundwater Changes. Hydrology and Earth System Sciences, 26(14), 3805–3823. https://doi.org/10.5194/hess-26-3805-2022
Ma’rufah, W., Ridwan, R., & Amin, M. (2024). Deteksi Kerawanan Banjir Genangan Menggunakan Topographic Wetness Index (TWI) di Sub Das Way Katibung. Jurnal Agricultural Biosystem Engineering, 3(2), 238. https://doi.org/10.23960/jabe.v3i2.9435
Miardini, A., & Saragih, G. S. (2019). Penentuan Prioritas Penanganan Banjir Genangan Berdasarkan Tingkat Kerawanan Menggunakan Topographic Wetness Index Studi Kasus di DAS Solo. Jurnal Ilmu Lingkungan, 17(1), 113. https://doi.org/10.14710/jil.17.1.113-119
Mukhtar, M. A., Shangguan, D., Ding, Y., Anjum, M. N., Banerjee, A., Butt, A. Q., Nilesh yadav, Li, D., Yang, Q., Khan, A. A., Muhammad, A., & He, B. B. (2024). Integrated flood risk assessment in Hunza-Nagar, Pakistan: unifying big climate data analytics and multi-criteria decision-making with GIS. Frontiers in Environmental Science, 12. https://doi.org/10.3389/fenvs.2024.1337081
Safiah Yusmah, M. Y., Bracken, L. J., Sahdan, Z., Norhaslina, H., Melasutra, M. D., Ghaffarianhoseini, A., Sumiliana, S., & Shereen Farisha, A. S. (2020). Understanding urban flood vulnerability and resilience: a case study of Kuantan, Pahang, Malaysia. Natural Hazards, 101(2), 551–571. https://doi.org/10.1007/s11069-020-03885-1
Ullah, N., Tariq, A., Qasim, · Said, Panezai, S., Uddin, M. G., Abdullah-Al-Wadud, · M, & Ullah, S. (2024). Geospatial analysis and AHP for flood risk mapping in Quetta, Pakistan: a tool for disaster management and mitigation. Applied Water Science, 14, 236. https://doi.org/10.1007/s13201-024-02293-1
Vignesh, K. S., Anandakumar, I., Ranjan, R., & Borah, D. (2021). Flood vulnerability assessment using an integrated approach of multi-criteria decision-making model and geospatial techniques. Modeling Earth Systems and Environment, 7(2), 767–781. https://doi.org/10.1007/s40808-020-00997-2
Wardana, K. (2024). Land Use Change Analysis and Remote Sensing-Based Spatial Evaluation in Kendal District, Indonesia in 2015 and 2020. Iop Conference Series Earth and Environmental Science, 1357(1), 12010. https://doi.org/10.1088/1755-1315/1357/1/012010
Weber, M., Koch, F., Bernhardt, M., & Schulz, K. (2021). The Evaluation of the Potential of Global Data Products for Snow Hydrological Modelling in Ungauged High-Alpine Catchments. Hydrology and Earth System Sciences, 25(5), 2869–2894. https://doi.org/10.5194/hess-25-2869-2021
Yamamoto, K., Sayama, T., & Apip. (2021). Impact of Climate Change on Flood Inundation in a Tropical River Basin in Indonesia. Progress in Earth and Planetary Science, 8(1). https://doi.org/10.1186/s40645-020-00386-4
Zhou, L., Kori, D. S., Sibanda, M., & Nhundu, K. (2022). An Analysis of the Differences in Vulnerability to Climate Change: A Review of Rural and Urban Areas in South Africa. Climate, 10(8), 118. https://doi.org/10.3390/cli10080118
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