Flood Quantification Index Based on Inundation Indicators and Risk Scale

Ariani Budi Safarina, Iin Karnisah, Ade Sena Permana, - Chairunnisa, Muhshonati Syahidah

Abstract


Flood management requires an assessment of flood levels that occur appropriately. Determining flood levels quantitatively can help control floods more efficiently. This study aims to make flood quantification based on the inundation indicators and scale of risk. The case study is in Citarik, Cilember, Cimahi, Cisangkan, and Cibeureum, located in the Citarum watershed, West Java, Indonesia. The method used is a mathematical model of flow verified by the river's physical dimensions. Four indicators were analyzed based on unsteady one-dimensional river flow and overland flow models. The four flood quantity indicators with different weights are namely percentage of inundation area (Ai), percentage of area activity on the inundation area (Aac), inundation duration (D), and inundation depth (H) which have consecutive indexes 0.3, 0.2, 0.2 and 0.3. The initial discharge was analyzed based on unit hydrograph at the upstream river cross-section of the inundation region. The study's results by verification of field observations showed that the highest peak inundation was 3.0 m in Cilember, inundation duration was a maximum of 18 hours in Citarik and Cilember, the highest inundation area was 329.23 % of the watershed area of Cilember. Results of calculations with the formulations, the highest quantity is 16.18 in Cilember flood that occurs in Melong village with a risk scale of 5. These results conclude that the Cilember flood is high-level damage so that it is a priority to be overcome.

Keywords


Flood quantification; flood risk; inundation area; overland flow; unsteady one-dimensional flow.

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References


R. Islam, R. Kamaruddin, S. A. Ahmad, S. J. Jan, and A. R. Anuar, “A review on mechanism of flood disaster management in Asia,†Int. Rev. Manag. Mark., vol. 6, no. 1, pp. 29–52, 2016.

C. Göl, S. Ediş, and H. Yilmaz, “Legal and administrative problems in watershed management in turkey: Case of tatliçay watershed,†Environ. Eng. Manag. J., vol. 16, no. 12, pp. 2685–2698, 2017, doi: 10.30638/eemj.2017.279.

I. G. A. P. Eryani, I. W. Runa, and M. W. Jayantari, “Water potential management and arrangement of river estuary area for the mitigation of the climate change in Bali,†Int. J. Adv. Sci. Eng. Inf. Technol., vol. 9, no. 3, pp. 849–854, 2019, doi: 10.18517/ijaseit.9.3.8224.

A. Budi Safarina, I. Karnisah, and A. Sena Permana, “Study of the Effect of River Basin Morphology Change on Threshold Parameters in Cimahi Flood Early Warning System,†IOP Conf. Ser. Earth Environ. Sci., vol. 273, no. 1, 2019, doi: 10.1088/1755-1315/273/1/012013.

I. G. Tunas and R. Maadji, “The use of GIS and hydrodynamic model for performance evaluation of flood control structure,†Int. J. Adv. Sci. Eng. Inf. Technol., vol. 8, no. 6, pp. 2413–2420, 2018, doi: 10.18517/ijaseit.8.6.7489.

H. Helmi, H. Basri, S. Sufardi, and H. Helmi, “Flood vulnerability level analysis as a hydrological disaster mitigation effort in Krueng Jreue Sub-Watershed, Aceh Besar, Indonesia,†Jà mbá J. Disaster Risk Stud., vol. 11, no. 1, pp. 1–8, 2019, doi: 10.4102/jamba.v11i1.737.

R. O. Salami, J. K. von Meding, and H. Giggins, “Vulnerability of human settlements to flood risk in the core area of Ibadan metropolis, Nigeria,†Jamba J. Disaster Risk Stud., vol. 9, no. 1, pp. 1–14, 2017, doi: 10.4102/jamba.v9i1.371.

T. Olugunorisa, “Strategies for Mitigation of Flood Risk in the Niger Delta, Nigeria,†J. Appl. Sci. Environ. Manag., vol. 13, no. 2, 2010, doi: 10.4314/jasem.v13i2.55295.

M. Safaripour, M. Monavari, M. Zare, Z. Abedi, and A. Gharagozlou, “Flood risk assessment using GIS (case study: Golestan province, Iran),†Polish J. Environ. Stud., vol. 21, no. 6, pp. 1817–1824, 2012.

S. Shrestha and W. Lohpaisankrit, “Flood hazard assessment under climate change scenarios in the Yang River Basin, Thailand,†Int. J. Sustain. Built Environ., vol. 6, no. 2, pp. 285–298, 2017, doi: 10.1016/j.ijsbe.2016.09.006.

I. G. Tunas, N. Anwar, and U. Lasminto, “The Improvement of Synthetic Unit Hydrograph Performance by Adjusting Model Parameters for Flood Prediction,†Int. J. Eng. Technol., vol. 9, no. 2, pp. 847–858, 2017, doi: 10.21817/ijet/2017/v9i2/170902163.

A. B. Safarina, I. Karnisah, A. S. Permana, and D. Sufianto, “Green Cimahi watershed for balancing water supply and flood control,†IOP Conf. Ser. Mater. Sci. Eng., vol. 669, no. 1, 2019, doi: 10.1088/1757-899X/669/1/012040.

A. B. Safarina, Ramli, and M. S. S. Hashuro, “Two alert flood early warning system method based on rainfall runoff model,†Int. J. Civ. Eng. Technol., vol. 8, no. 12, pp. 1032–1044, 2017.

B. Bout and V. G. Jetten, “The validity of flow approximations when simulating catchment-integrated flash floods,†J. Hydrol., vol. 556, pp. 674–688, 2018, doi: 10.1016/j.jhydrol.2017.11.033.

I. K. Ariani Budi Safarina, Ade Sena Permana and C. dan A. Purwanti, “Flood Quantification Analysis Based on Inundation Characteristics as a Guide for Early Warning System (Analisis Kuantifikasi Banjir Berdasarkan Karakteristik Genangan Sebagai Pedoman Untuk Sistem Peringatan Dini,†in Prosiding Pertemuan Ilmiah Tahunan (PIT) HATHI ke-35, 2018, pp. 289–296, [Online]. Available: https://scholar.google.co.id/citations?user=GFyHK_gAAAAJ&hl=en.

F. Yulianto, Nf. Suwarsono, S. Sulma, and M. R. Khomarudin, “Observing the Inundated Area Using Landsat-8 Multitemporal Images and Determination of Flood-Prone Area in Bandung Basin,†Int. J. Remote Sens. Earth Sci., vol. 15, no. 2, p. 131, 2019, doi: 10.30536/j.ijreses.2018.v15.a3074.




DOI: http://dx.doi.org/10.18517/ijaseit.11.2.9706

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