ANALISIS TINGKAT BAHAYA BANJIR BANDANG DENGAN METODE FFPI DI SUB DAS AIR BETUNG

Barrorotul Azizah

Abstract


Pagar Alam City is one of the areas in Indonesia which is a disaster-prone area, one of which is flash floods. Pagar Alam City is very at risk of flash floods based on DIBI from BNPB in the period 2012 to 2022, in the last 10 years there have been 5 flash floods with damage to 1 unit of house severely damaged and some debris washed away in parts of the building, damage to irrigation canals ± 50 m long and 2 m high, damage to retaining walls 25 m long and 40 m high and ± 30 ha of cropland damaged and ± 73 hectares of agricultural land affected by the disaster. This research was conducted to determine the level of vulnerability to flash floods in the Air Betung sub-watershed. Hazard level mapping is a step taken to determine the level of vulnerability by analyzing slope maps, land use maps, soil texture maps and canopy cover maps. The vulnerability index was analyzed using the FFPI method processed in the Arcgis 10.4 program. The results of the vulnerability index are classified into three classes, namely low class, medium class and high class. Pagar Alam Selatan sub-district is a sub-district that has a high index value, while Pajar Bulan sub-district has the lowest index of flash flood vulnerability in the Air Betung sub-watershed.


Keywords


flash flood potential indeks,Hazard,GIS

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References


Adzani, F. D., Azizah, B., Sipil, P. T., Tinggi, S., & Pagar, T. (2019). Kota Pagar Alam. 06(02), 41–46.

Azizah, C., Pawitan, H., Dasanto, B. D., Ridwansyah, I., & Taufik, M. (2022). Risk assessment of flash flood potential in the humid tropics Indonesia: a case study in Tamiang River basin. International Journal of Hydrology Science and Technology, 13(1), 57–73.

Cau, L. X. (2016). Development of Map of Gridded Basin Flash Flood Potential Index: GBFFPI Map of QuangNam, QuangNgai, DaNang, Hue Provinces. World Academy of Science, Engineering and Technology International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering, 10(1).

Costache, R., Arabameri, A., Blaschke, T., Pham, Q. B., Pham, B. T., Pandey, M., Arora, A., Linh, N. T. T., & Costache, I. (2021). Flash-flood potential mapping using deep learning, alternating decision trees and data provided by remote sensing sensors. Sensors, 21(1), 280.

Fuadi, A. (2021). Tahta Media Group.

Jeewandika, D. (2015). Mapping Flash Flood Potential Using GIS And The Flash Flood Potential Index (FFPI) In The Turtle River And Forest River Watersheds In North Dakota. January, 107.

Marković, M., Lukić, S., & Baumgerte, A. (2021). Use of Flash Flood Potential Index (Ffpi) Method for Assessing the Risk of Roads To the Occurrence of Torrential Floods - Part of the Danube Basin and Pek River Basin. International Journal for Traffic and Transport Engineering, 11(4), 543–553. https://doi.org/10.7708/ijtte2021.11(4).04

Popa, M. C., Peptenatu, D., Draghici, C. C., & Diaconu, D. C. (2019). Flood hazard mapping using the flood and Flash-Flood Potential Index in the Buzau River catchment, Romania. Water (Switzerland), 11(10). https://doi.org/10.3390/w11102116

Shawaqfah, M., AlMomani, F., & Khatatbeh, A. (2020). Mapping flash flood potential and risk level using GIS techniques and the flash flood potential index (FFPI) in Amman Zarqa Basin of Jordan. Jordanian J Eng Chem Ind (JJECI), 3, 81–90.

Shehata, M., & Mizunaga, H. (2018). Flash flood risk assessment for Kyushu Island, Japan. Environmental Earth Sciences, 77, 1–20.

Tauhid, C. D. L., Fathani, T. F., & Legono, D. (2017). Multi-Disaster Risk Analysis of Klaten Regency, Central Java, Indonesia. Journal of the Civil Engineering Forum, 3(3), 135. https://doi.org/10.22146/jcef.26743

Tîrnovan, A., Cojoc, G. M., Romanescu, G., & Obreja, F. (2014). Predicting the potential index of major floods production in the Suha river basin (Suha Bucovineana). Water Resources and Wetlands.

Wahid, A., Madden, M., Khalaf, F., & Fathy, I. (2016). Geospatial analysis for the determination of hydro-morphological characteristics and assessment of flash flood potentiality in Arid Coastal Plains: A case in Southwestern Sinai, Egypt. Earth Sciences Research Journal, 20(1), 1–9.

Widiyatmoko, W., Wicaksono, D., Afgani, A., Achmad, F., & N, M. (2015). Penentuan Zona Kerawanan Banjir Bandang Dengan Metode Flash Flood Potential Index ( FFPI ) Di Perbukitan Menoreh Kabupaten Kulonprogo. Prosiding Pertemuan Ilmiah Tahunan Riset Kebencanaan, 362 – 370.

Zaharia, L., Costache, R., Prăvălie, R., & Ioana-Toroimac, G. (2017). Mapping flood and flooding potential indices: a methodological approach to identifying areas susceptible to flood and flooding risk. Case study: the Prahova catchment (Romania). Frontiers of Earth Science, 11(2), 229–247. https://doi.org/10.1007/s11707-017-0636-1




DOI: https://doi.org/10.26877/jitek.v10i1/Mei.18433

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