The Risk-Level Change of Dam Break Due to the Population Growth in the Dam Downstream
Abstract
This research intends to evaluate the risk-level change of dam break due to the number of population growth rates in the dam downstream. The number of population growth rates in the dam downstream area causes the number of populations that is impacted by disaster risk. In this research, there is conducted the danger class classification of dam failure based on the increasing number of population growth rates. In this research, there is conducted a class classification about the dam failure based on the increasing of population growth rate. The methodology is started from data collecting such as PMF design flood that is used for analyzing the dam break to be obtained the flood boundary of the dam downstream area, Map of the Digital Elevation Model that is for knowing the topography of the dam downstream area, population data which is obtained from BPS that is for knowing the population growth rate so it can predict the population number until the life time of the reservoir, and the land use data that is for knowing the population growth rate in the downstream dam area so it can be known the development of residence until the life time of reservoir. Then there is carried out the evaluation and assessment, which is based on the number of risk populations. The result show that there are 6 dams with very high danger level of the downstream damage level and the classification assessment of dams is extreme such as the dams of Bintang Bano, Rotiklot, Napungette, Lolak, Kuwil, and Pandanduri. However, the other four dams also show a very high danger level but in the assessment classification of dam is high (not extreme) such as the dams of Batu Nampar, Kengkang, Sepit, and Jangkih Jawa. The result is hoped can predict the danger classification of dam failure during the life time of the reservoir. Additionally, it can give input to the policymaker in determining the risk classification of dam failure. Moreover, it can be as one of the inputs in developing the risk classification model of dam failure.
Keywords: dam break, risk, population growth, dam downstream.
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MARDJONO A, JUWONO P T, LIMANTARA L M, SUHARTANTO E. Model of flood attenuation by combining dry dam and retention pond distribution. Journal of Hunan University (Natural Sciences), 2022, 49(8): 25-31
OWEN J R, KEMP D, LEBRE E, SYOBODOYA K, and PEREZ M. Catastrophic tailings dam failures and disaster risk disclosure. International Journal of Disaster Risk Reduction, 2019: 101361 (Journal Pre-proof).
GAAGAI A, BOUDOUKHA A, and BENAABIDATE L. Failure simulation of Babar dam -Algeria and its impact on the valley downstream section. Journal of Water Land Development, 2020, 44: 75-89
GAAGAI A, AOUISSI H A, KRAUKLIS A E, et al. Modeling and risk analysis of Dam-Break flooding in a Semi-Arid Montane watershed: A Case Study of the Yabous Dam, Northeastern Algeria. Water, 2022, 14: 767. https:// doi.org/10.3390/w14050767
FIRMANSYAH R, and SRIYANA I. Penilaian risiko bendungan Saguling dengan metode tradisional, Metode kejadian dan metode modifikasi ICOLD. Wahana Teknik Sipil, 2022, 27(1): 76-87
WANG B, CHEN Y, WU C, et al. Semi-analytical model for predicting peak discharge of dam-break flood. Hydrology Processes, 2016, 30: 3682-3691
BOUSSEKINE M. and DJEMILI L. Modelling approach for gravity dam break analysis. Journal of Water Land Development, 2016, 30: 29-34
ISRAA D A, QASSEM H J, and JASIM M A. Sensitivity analysis for dam breach parameters using different approaches for Hamrin Dam. Diyala Journal of Engineering Sciences, 2021, 14: 90-97
INTERNATIONAL COMMISSION ON LARGE DAMS (ICOLD). Flood evaluation and dam safety. Bulletin 170, 2018.
WASKITO T N, BISRI M, LIMANTARA L M, & SOETOPO W. Simulation of Saguling dam break by using the HEC-RAS software. Journal of Hunan University (Natural Sciences), 49(8): 241-249
PURWANTO P. I, JUWONO P. T, and AAMARANTO R. Analisa Keruntuhan Bendungan Tugu Kabupaten Trenggalek. Jurnal Teknik Pengairan, 2017, 8(2): 222–230.
SUPRAYOGI H, BISRI M, LIMANTARA L.M, ANDAWAYANTI U. Service index modelling of urban drainage network. International Journal of GEOMATE, 2018, 15(50): 95-100.
SASONGKO Y P. Analysis of Kuningan dam break by using ZHONG XING HY21. Malang: Universitas Brawijaya, 2018.
SHAHIRIPARSA A, NOORI M, HEYDARI M, & RASHIDI M. Floodplain zoning simulation by using HEC-RAS and CCHE2D models in the Sungai Maka River. Air Soil Water Research, 2016, 9: 55-62
ALBU L M, ENEA A, IOSUB M, and BREABAN L G. Dam breach size comparison for flood simulations. A HEC-RAS based, GIS approach for Drăcs, Ani Lake, Sitna River, Romania. Water, 2016, 12: 1090
SK Dirjen SDA (Decision Letter of Water Resources Directorate General) No. 2/KPTS/D/2008. Pedoman Konstruksi dan Bangunan Sipil, Analisis Dinamik Bendungan Urugan.
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