Analysis of Flood Vulnerability and Rainfall Changes in the Angke-Pesanggrahan Watershed using Spatial Mapping

Authors

  • Ratu Kenanga Fitria Universitas Sultan Ageng Tirtayasa
  • Yayat Ruhiat Physics Education, Sultan Ageng Tirtayasa University, Serang, 42117, Indonesia
  • Yuvita Oktarisa Physics Education, Sultan Ageng Tirtayasa University, Serang, 42117, Indonesia

DOI:

https://doi.org/10.70561/geocelebes.v10i1.48347

Keywords:

Angke-Pesanggrahan Watershed, Disaster Mitigation, HSS Nakayasu, Q50 Flood Discharge, Spatial Mapping

Abstract

This study analyzes flood vulnerability in the Angke-Pesanggrahan Watershed, Jakarta, which faces increased risks due to land-use changes. The study aims to calculate the 50-year return period flood discharge, map flood-prone zones, and formulate mitigation recommendations using spatial mapping. A quantitative approach was employed, analyzing 15 years of rainfall data from five stations. Methodology included data consistency testing, Spearman’s correlation, stationarity, and outlier identification, followed by regional rainfall analysis using Thiessen Polygons. The Log Pearson Type III distribution was applied for frequency analysis, and the Nakayasu Synthetic Unit Hydrograph method estimated flood discharge. Flood-prone zones were mapped using scoring and overlay techniques in a Geographic Information System (GIS). Results show that the 50-year flood discharge reaches 1.128 m3/s, exceeding existing river capacity. Mapping simulations identified flood depths of 3–6 meters in downstream areas, with high-risk zones concentrated in Northern Kembangan, Kedaung Kali Angke, Kapuk Muara, Kamal Muara, Eastern Cengkareng, and Northern Kedoya, where surface runoff contributes up to 90%. Spatial analysis categorized 257.18 km2 as non-prone, 92.14 km2 as moderately prone, 75.75 km2 as prone, and 58.57 km2 as highly prone. This study concludes that the Angke-Pesanggrahan Watershed, particularly the Cengkareng Drain section, requires urgent technical intervention, including river normalization and catchment area optimization. These findings provide a crucial spatial database for sustainable flood mitigation and risk-based decision-making in urban planning.

References

Abdolazimi, O., Sepehrifar, M., Shishebori, D., Banicescu, I., Azad, S., Pishini, K., & Ma, J. (2025). A stochastic DEA-GARMA integration for dynamic forecasting of undesirable outputs applied to the temporal efficiency analysis of water and sewerage services. Journal of Cleaner Production, 521(146177). https://doi.org/10.1016/j.jclepro.2025.146177

Alif, M. S. A., Marma, M-E-S., Hassan, M. N., Jahan, C. S., Howlader, R., Sarker, T., Rasel, M. I. A., Mahim, M. M. A., Roy, R., & Mazumdar, Q. H. (2025). Flash flood risk zoning in Gomti River Basin in Eastern Bangladesh and Tripura State (India) using MCDM-GIS Tool. Safety in Extreme Environments, 7,7. https://doi.org/10.1007/s42797-025-00120-7

Allafta, H., & Opp, C. (2021). GIS-based multi-criteria analysis for flood prone areas mapping in the trans-boundary Shatt Al-Arab basin, Iraq-Iran. Geomatics, Natural Hazards and Risk, 12(1), 2087–2116. https://doi.org/10.1080/19475705.2021.1955755

Bahago, R. A., Abdulkadir, A., Yahaya, T. I., & Hassan, A. B. (2026). Geospatial Assessment of Flood Vulnerability and Its Impact on Food Security in Downstream Communities of Shiroro and Zungeru Dams, Niger. Research Square [Preprint], 0–23.

BPBD. (2021). Data Titik Genangan dan Banjir Provinsi DKI Jakarta Tahun 2020-2021. BPBD DKI Jakarta.

Carr, G., Seebauer, S., & Lun, D. (2025). Interactions Between Public and Private Flood Adaptation: Insights from a Socio – Hydrological Model. Water Resources Research, 61, e2025WR040502. https://doi.org/10.1029/2025WR040502

Dahlia, S., & Fadiarman. (2020). Analisis risiko banjir terhadap fasilitas pendidikan di DKI Jakarta. Jurnal Geografi Gea, 20(2), 185–196. https://doi.org/10.17509/gea.v20i2.24113

Endendijk, T., Botzen, W. J. W., de Moel, H., Aerts, J. C. J. H., Slager, K., & Kok, M. (2023). Flood vulnerability models and household flood damage mitigation measures: An econometric analysis of survey data. Water Resources Research, 59, e2022WR034192. https://doi.org/10.1029/2022WR034192

Fox, S., Agyemang, F., Hawker, L., & Neal, J. (2024). Integrating social vulnerability into high- resolution global flood risk mapping. Nature Communications, 15, 3155. https://doi.org/10.1038/s41467-024-47394-2

Glas, R., Hecht, J., Simonson, A., Gazoorian, C., & Schubert, C. (2023). Adjusting design floods for urbanization across groundwater-dominated watersheds of Long Island, NY. Journal of Hydrology, 618, 129194. https://doi.org/10.1016/j.jhydrol.2023.129194

Guo, J., Meng, Q., Du, B., & Sun, H. (2025). Probability forecasting for multivariate urban water demand using temporal convolutional network based on quantile regression and Parzen window. Engineering Applications of Artificial Intelligence, 162, 112528. https://doi.org/10.1016/j.engappai.2025.112528

Habibi, N. I., & Darmawan, Y. (2024). Pengendalian Banjir Pada Daerah Aliran Sungai Pesanggrahan Menggunakan Pemodelan HEC-RAS. Jagratara: Journal of Disaster Research, 2(2), 27–36. https://doi.org/10.36080/jjdr.v2i1.146

Handore, K. R., Patil, N., & Dangle, M. (2025). Comparative Analysis of Disaster Management Strategies in India and Indonesia. Indonesian Journal of Geography, 57(3), 480–494. https://doi.org/10.22146/ijg.101454

Ignes, J., & Arbaningrum, R. (2021). Analisis Debit Maksimum pada Long Storage Sungai Serua di Lingkungan Universitas Pembangunan Jaya. Jurnal Proyek Teknik Sipil, 4(2), 43–48. https://doi.org/10.14710/potensi.2021.11540

Ismael, Y. M., & Awchi, T. A. (2023). Meteorological Drought Analysis in Iraq using SPI and Theory of Runs for the Period 1980-2022. IOP Conference Series: Earth and Environmental Science, 1374, 012063. https://doi.org/10.1088/1755-1315/1374/1/012063

Kwak, J., Kim, J., Lee, H., Kim, S., Kim, S., & Seong, M. (2024). Evaluation of future flood probability in agricultural reservoir watersheds using an integrated flood simulation system. Journal of Hydrology, 628, 130463. https://doi.org/10.1016/j.jhydrol.2023.130463

Limeria, A. & Saputra, R. H. (2024). Penentuan Debit Banjir Dengan HEC-HMS dan Kawasan Rawan Banjir Dipengaruhi Pasang Surut Dengan HEC-RAS 2D. Jurnal Teknika: Jurnal Teoritis dan Terapan Bidang Keteknikan, 7(2), 14–20. https://e-journal.upr.ac.id/index.php/JT/article/view/14077

Mester, B., Fieler, K., Korup, O., Desai, B., & Schewe, J. (2025). Socioeconomic predictors of vulnerability to flood-induced displacement. Nature Communications, 16, 8296. https://doi.org/10.1038/s41467-025-64015-8

Mitu, M. F., Sofia, G., & Anagnostou, E. N. (2025). Using Flood Insurance Claims in Coastal CONUS to Evaluate the Impact of Compound Flood Risk. Water Resources Research, 61, e2024WR039384. https://doi.org/10.1029/2024WR039384

Monir, M., Sarker, S. C., & Akhter, S. (2026). Participatory flood vulnerability assessment in the Teesta floodplain of Bangladesh using GIS-based AHP and frequency ratio models. Next Sustainability, 7, 100251. https://doi.org/10.1016/j.nxsust.2026.100251

Muhammad, I. N., Sarpono, S., Wibowo, A., Rachmat, S., & Kurniadi, A. (2025). Spatial Analysis of Urban Flood Vulnerability Using Weighted Overlay Technique for Identification of Hazard Zones in Greater Jakarta. Jurnal Geografi, 23(1), 223–238. https://doi.org/10.26740/jggp.v23n1.p223-238

Novarini, N., Harahap, A. K., Syastra, M. T., Yulia, I., Sutrisno, S., & Wijayanti, E. K. (2024). Sistem Informasi Geografis Bencana Alam Banjir Jakarta Berbasis Web dengan Metode SDLC. Jurnal Informatika Teknologi dan Sains (Jinteks), 4(4), 489–495. https://doi.org/10.51401/jinteks.v4i4.4752

Noviansah, W. (2025). Banjir 3,5 Meter Rendam Pesanggrahan Jaksel, 400 Warga Dievakuasi. DetikNews. https://news.detik.com/berita/d-7806531/banjir-3-5-meter-rendam-pesanggrahan-jaksel-400-warga-dievakuasi

PSDA WS Ciliwung-Cisadane. (2019). Data Curah Hujan (mm).

PSDA WS Ciliwung-Cisadane. (2023). Data Curah Hujan (mm).

Rahmadani, S., Harahap, R., & Pongtuluran, E. H. (2023). Evaluasi Pola Distribusi Stasiun Hujan Kota Medan. Jurnal Teknik Hidraulik Atau Jurnal Konstruksia, 9(1), 10–19. https://jurnal.poltekba.ac.id/index.php/jst/article/view/1737

Rahmadani, S., Harahap, R., Yuzni, S. Z., Rani, C. M., Tinov, N., Waruwu, J. A., & Rahmadani, S. S. (2024). Hydrological Study of Deli River Flood Discharge Using the HSS Nakayasu Model. Journal of Physics: Conference Series, 2908, 012016. https://doi.org/10.1088/1742-6596/2908/1/012016

Rhianazala, A., Budiyanto, M. N., & Iriani, A. (2026). Analyzing the Challenges of Flood Management Policies in Bekasi City through Target Mapping Techniques. Jurnal Pemerintahan Dan Politik, 11(1), 108–133. https://ejournal.uigm.ac.id/index.php/PDP/article/view/5951

Saad, M. S. H., Ali, M. I., Razi, P. Z., Ramli, N. I., & Jaya, R. P. (2024). Exploring the Factors and Impacts of Flash Floods Vulnerability in Various Areas of Malaysia: A Content Analysis. Disaster in Civil Engineering and Architecture, 1(1), 55–82. https://doi.org/10.70028/dcea.v1i1.11

Safaei-Moghadam, A., Hosseinzadeh, A., & Minsker, B. (2024). Predicting real-time roadway pluvial flood risk: A hybrid machine learning approach coupling a graph-based flood spreading model, historical vulnerabilities, and Waze data. Journal of Hydrology, 637, 131406. https://doi.org/10.1016/j.jhydrol.2024.131406

Saraswati, Y., Arifin, A., & Irsan, R. (2023). Pemetaan Sebaran Tempat Penampungan Sampah Sementara (TPS) di Kecamatan Sintang menggunakan Sistem Informasi Geografis (SIG). Jurnal Ilmu Lingkungan, 21(2), 238–244. https://ejournal.undip.ac.id/index.php/ilmulingkungan/article/view/45522

Setiyawan, S., Vera, W. A., Irdhiani, I., Rehana, R., Sri, H., & Hasbi, A. (2022). Testing of The Method of Gama I Synthetic Unit Hydrograph in The Analysis of The Tojo Watershed Design Flood. IOP Conference Series: Earth and Environmental Science, 1075, 012050. https://doi.org/10.1088/1755-1315/1075/1/012050

Sinurat, M., Mulia, A. P., & Faisal, M. (2022). Analisis spasial daerah banjir menggunakan HEC-RAS dan QGIS untuk Sub DAS Babura. Jurnal Syntax Admiration, 3(1), 141–162. https://doi.org/10.46799/jsa.v3i1.382

Soma, A., Arsyad, U., Nursaputra, M, Lando, A. T., Rahmat, S., Azus, F. H., & Ramadhan, M. D. R. (2021). Flood vulnerability analysis using the frequency ratio method with the watershed ecosystem in Bulukumba Regency, South Sulawesi Indonesia. IOP Conference Series: Earth and Environmental Science, 1230, 012044. https://doi.org/10.1088/1755-1315/1230/1/012044

Syukur, R. E. R. (2025). Ruas jalan di Kembangan banjir akibat Kali Pesanggrahan meluap. Antara News. https://www.antaranews.com/berita/4686793/ruas-jalan-di-kembangan-banjir-akibat-kali-pesanggrahan-meluap

Taki, H. M., & Wartaman, A. S. (2022). Study of Flood Vulnerability in Pesanggrahan District, South Jakarta. Journal of Applied Geospatial Information, 6(2), 647–651. https://doi.org/10.30871/jagi.v6i2.4308

Wigati, R., & Wahyudin, W. (2013). Analisis Banjir Sungai Ciliwung (Studi Kasus Ruas Sungai Lenteng Agung-Manggarai). Fondasi : Jurnal Teknik Sipil, 2(1), 1–9. https://doi.org/10.36055/jft.v2i1.1985

Yu, J., Wang, G., Yinglan, A., Zhu, Y., Cheng, Y., Deng, Z., Gao, R., & Duan, L. (2025). Hydrological phase-driven management in semi-arid watersheds: Linking plankton assembly dynamics and adaptive resilience strategies. Water Research X, 29, 100421. https://doi.org/10.1016/j.wroa.2025.100421

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Published

2026-04-01

How to Cite

Fitria, R. K., Ruhiat, Y., & Oktarisa, Y. (2026). Analysis of Flood Vulnerability and Rainfall Changes in the Angke-Pesanggrahan Watershed using Spatial Mapping. JURNAL GEOCELEBES, 10(1), 12–33. https://doi.org/10.70561/geocelebes.v10i1.48347

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