Risk assessment of Rawal dam outburst flood using integrated hydrological and geo-spatial approaches
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Abstract
This study is an effort of Rawal Dam outburst flood risk assessment using integrated hydrological and geo-spatial approaches. Satellite data sets including Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) and Landsat-8 image having 30 m spatial resolution were downloaded from United State Geological Survey (USGS) geo-database. Watershed modeling was applied to delineate the catchment area and drainage geo-visualize network. Spatial hydrological model was utilized to the vertical and horizontal profile of estimated flood in the downstream areas in case of dam breaching. Similarly, Google Earth Pro was used to calculate lake volume. The estimated flood has depth of more than 15 m. Downstream areas are at high risk. The results of the study can assist disaster management authorities and decision-makers in devising location specific effective flood risk reduction strategies in the region.
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Aboelata, M., Bowles, D. S., & McClelland, D. M. (2003). GIS model for estimating dam failure life loss. In Risk-based decision making in water resources. 10th United Engineering Foundation Conference, 126-145.
Ahmed, M., Mumtaz, R., & Hassan Zaidi, S. M. (2021). Analysis of water quality indices and machine learning techniques for rating water pollution: A case study of Rawal Dam, Pakistan. Water Supply, 21(6), 3225-3250. https://doi.org/10.2166/ws.2021.082
Aksoy, H., Kirca, V. S. O., Burgan, H. I., & Kellecioglu, D. (2016). Hydrological and hydraulic models for determination of flood-prone and flood inundation areas. Proceedings of the International Association of Hydrological Sciences, 373, 137-141. https://doi.org/10.5194/piahs-373-137-2016
Concha Larrauri, P., Lall, U., & Hariri-Ardebili, M. A. (2023). Needs for portfolio risk assessment of aging dams in the United States. Journal of Water Resources Planning and Management, 149(3), 04022083.
de Béjar, L. A. (2011). Probability of flood-induced overtopping of barriers in watershed-reservoir-dam systems. Journal of Hydrologic Engineering, 16(9), 699-709. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000361
Demir, V., & Kisi, O. (2016). Flood hazard mapping by using geographic information system and hydraulic model: Mert River, Samsun, Turkey. Advances in Meteorology. https://doi.org/10.1155/2016/4891015
Du, Z., Ge, L., Ng, A. H. M., Zhu, Q., Horgan, F. G., & Zhang, Q. (2020). Risk assessment for tailings dams in Brumadinho of Brazil using InSAR time series approach. Science of The Total Environment, 717, 137125. https://doi.org/10.1016/j.scitotenv.2020.137125
Gull, A., & Mahmood, S., (2022). Spatio-temporal analysis and trend prediction of land cover changes using Markov chain model in Islamabad, Pakistan. Advanced GIS, 2(2), 52-62.
Hashmi, H. N., Siddiqui, Q. T. M., Ghumman, A. R., & Kamal, M. A. (2012). A critical analysis of 2010 floods in Pakistan. African Journal of Agricultural Research, 7(7), 1054-1067.
Li, C., Wang, S., & Wang, W. (2012) Overtopping risk analysis using LHS-MC method. Journal of Hydroelectric Engineering, 32(1), 5–9. https://doi.org/10.4028/www.scientific.net/AMR.374-377.2082
Mahmood, S. (2019). Flood risk modelling and management in Panjkora Basin, Eastern Hindu Kush, Pakistan [Doctoral Thesis, University of Peshawar]. PRR.
Mahmood, S., & Atiq, A. (2022). Debris flow hazard assessment in district Chitral, Eastern Hindu Kush, Pakistan. Prevention and Treatment of Natural Disasters, 1(2), 20-29. https://doi.org/10.54963/ptnd.v1i2.88
Mahmood, S., & Hamayon, K. (2021). Geo-spatial assessment of community vulnerability to flood along the Ravi River, Ravi Town, Lahore, Pakistan. Natural Hazards, 106, 2825-2844. https://doi.org/10.1007/s11069-021-04568-1
Mahmood, S., & Rahman, A. U. (2019a). Flash flood susceptibility modeling using geo-morphometric and hydrological approaches in Panjkora Basin, Eastern Hindu Kush, Pakistan. Environmental earth sciences, 78, 43. https://doi.org/10.1007/s12665-018-8041-y
Mahmood, S., & Rahman, A. U. (2019b). Flash flood susceptibility modelling using geomorphometric approach in the Ushairy Basin, eastern Hindu Kush. Journal of Earth System Science, 128(97), 1-14. https://doi.org/10.1007/s12040-019-1111-z
Mahmood, S., & Rani, R. (2018). Extent of 2014 flood damages in Chenab Basin Upper Indus Plain. Natural hazards-risk assessment and vulnerability reduction, 79687. https://doi.org/10.5772/intechopen.79687
Mahmood, S., & Rani, R. (2022). People-centric geo-spatial exposure and damage assessment of 2014 flood in lower Chenab Basin, upper Indus Plain in Pakistan. Natural Hazards, 111(3), 3053-3069. https://doi.org/10.1007/s11069-021-05167-w
Mahmood, S., & Ullah, S. (2016). Assessment of 2010 flash flood causes and associated damages in Dir Valley, Khyber Pakhtunkhwa Pakistan. International Journal of Disaster Risk Reduction, 16, 215-223. https://doi.org/10.1016/j.ijdrr.2016.02.009
Mahmood, S., Khan, A. H., & Mayo, S. M. (2016). Exploring underlying causes and assessing damages of 2010 flash flood in the upper zone of Panjkora River. Natural Hazards, 83(2), 1213-1227. https://doi.org/10.1007/s11069-016-2386-x
Mahmood, S., Rahman, A. U., & Shaw, R. (2019). Spatial appraisal of flood risk assessment and evaluation using integrated hydro-probabilistic approach in Panjkora River Basin, Pakistan. Environmental monitoring and assessment, 191(9), 1-15. https://doi.org/10.1007/s10661-019-7746-z
Mateen, H., & Garstang, R. (2008). Environmental monitoring of natural streams/nullahs in sector F-7, Islamabad: Detailed analytical baseline report of surface water. Technical. Report, Ministry of Environment Pakistan.
Mo, C., & Liu, F. (2010) Study on evaluation method for overtopping risk degree of reservoir earth dam. Journal of Hydraulic Engineering, 41(3), 319-324.
Psomiadis, E., Tomanis, L., Kavvadias, A., Soulis, K. X., Charizopoulos, N., & Michas, S. (2021). Potential dam breach analysis and flood wave risk assessment using HEC-RAS and remote sensing data: A multicriteria approach. Water, 13(3), 364. https://doi.org/10.3390/w13030364
Saeed, M., Ashraf, A., Ahmed, B., & Shahid, M. (2011) Monitoring deforestation and urbanization growth in rawal watershed area using remote sensing and GIS techniques. Sci J COMSATS-Science Vis 16:93–104.
Samad, N., Chauhdry, M. H., Ashraf, M., Saleem, M., Hamid, Q., Babar, U., Tariq, H., & Farid, M. S. (2016). Sediment yield assessment and identification of check dam sites for Rawal Dam catchment. Arabian Journal of Geosciences, 9, 1-14. https://doi.org/10.1007/s12517-016-2484-9
Shaktawat, A., & Vadhera, S. (2021). Risk management of hydropower projects for sustainable development: a review. Environment, Development and Sustainability, 23, 45-76. https://doi.org/10.1007/s10668-020-00607-2
Yang, S., Pan, Y., Dong, J. J., Yeh, K. C., &Liao, J. J. (2013). A systematic approach for the assessment of flooding hazard and risk associated with a landslide dam. Natural Hazards, 65, 41–62. https://doi.org/10.1007/s11069-012-0344-9
Zhang, S., Sun, B., Yan, L., Wang, C. (2013) Risk identification on hydropower project using the IAHP and extension of TOPSIS methods under interval-valued fuzzy environment. Natural Hazards, 65, 359–373. https://doi.org/10.1007/s11069-012-0367-2
Zhang, S., & Tan, Y. (2014). Risk assessment of earth dam overtopping and its application research. Natural Hazards, 74, 717-736. https://doi.org/10.1007/s11069-014-1207-3