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The rainfall in the upper catchments associated with the hydro peaking events disturbs the regular flow regimes and is often responsible for downstream flooding in alluvial plains. The unregulated release from a hydropower dam abruptly alters the flow dynamics and inundates the adjacent floodplains. In this work, an integrated modeling framework is developed by linking a semi-distributed hydrological model, a two-dimensional hydrodynamic model with a multi-criteria decision approach, to investigate the downstream flooding of Beki River in Assam, India due to the storm runoff and release from the Kurichu Dam, Bhutan. A 48-h rainfall event and dam release flow from 16/06/2022-18/06/2022 is selected for the hydrological simulations. The computed hydrograph is used as an upstream boundary condition in the 2D model to generate the different flow scenarios up to the confluence point of the Brahmaputra River. The results indicate that a peak of 4970.86 m3/s is attained at downstream with an attenuation of 5.976%. The velocity in the stream ranges between 0.77 and 1.14 m/s, and near the meanders, it reaches up to 1.31 m/s. The computed hazard map indicates that some embankments and the road networks in the four revenue circles are significantly affected due to flooding. The proposed methodology and outcomes of the study will be useful for the effective management and monitoring of floods, especially in flood-prone regions.
Wydawca
Czasopismo
Rocznik
Tom
Strony
1017--1032
Opis fizyczny
Bibliogr. 32 poz.
Twórcy
autor
- North Eastern Space Applications Centre, Department of Space, Government of India, Umiam, India
autor
- North Eastern Space Applications Centre, Department of Space, Government of India, Umiam, India
- North Eastern Space Applications Centre, Department of Space, Government of India, Umiam, India
autor
- North Eastern Space Applications Centre, Department of Space, Government of India, Umiam, India
autor
- North Eastern Space Applications Centre, Department of Space, Government of India, Umiam, India
Bibliografia
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- 4. Argaz A, Ouahman B, Darkaoui A, Bikhtar H, Ayouch E, Lazaar R (2019) Flood hazard mapping using remote sensing and GIS Tools: a case study of souss watershed. J Mater Environ Sci 10:170-181
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- 12. Fan FM, Collischonn W, Quiroz KJ, Sorribas MV, Buarque DC, Siqueira VA (2016) Flood forecasting on the Tocantins River using ensemble rainfall forecasts and real-time satellite rainfall estimates. J Flood Risk Manag 9:278-288. https://doi.org/10.1111/jfr3.12177
- 13. Farhadi H, Najafzadeh M (2021) Flood risk mapping by remote sensing data and random forest technique. Water (Basel) 13:3115. https://doi. org/10.3390/w13213115
- 14. Geng Y, Zheng X, Wang Z, Wang Z (2020) Flood risk assessment in Quzhou City (China) using a coupled hydrodynamic model and fuzzy comprehensive evaluation (FCE). Nat Hazards 100:133-149. https:// doi.org/10.1007/s11069-019-03803-0
- 15. Gigović L, Pamučar D, Bajić Z, Drobnjak S (2017) Application of GIS-interval rough AHP methodology for flood hazard mapping in Urban areas. Water (switzerland). https://doi.org/10.3390/w9060360
- 16. Gomes Vercosa LFdM, Cirilo JA MMdA (2021) Hydrologic models coupled with 2D hydrodynamic model for high-resolution urban flood simulation. Nat Hazards 108:3121-3157. https://doi.org/10.1007/ s11069-021-04817-3
- 17. Hammami S, Zouhri L, Souissi D, Souei A, Zghibi A, Marzougui A, Dlala M (2019) Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility mapping (Tunisia). Arab J Geosci 12:653. https://doi.org/10.1007/ s12517-019-4754-9
- 18. Kadam A, Karnewar AS, Umrikar B, Sankhua RN (2019) Hydrological response-based watershed prioritization in semiarid, basaltic region of western India using frequency ratio, fuzzy logic and AHP method. Environ Dev Sustain 21:1809-1833. https://doi.org/10.1007/ s10668-018-0104-4
- 19. Li W, Lin K, Zhao T, Lan T, Chen X, Du H, Chen H (2019) Risk assessment and sensitivity analysis of flash floods in ungauged basins using coupled hydrologic and hydrodynamic models. J Hydrol 572:108120. https://doi.org/10.1016/j.jhydrol.2019.03.002
- 20. Li Z, Chen M, Gao S, Luo X, Gourley JJ, Kirstetter P, Hong Y (2021) CREST-iMAP v1. 0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction. Environ Modell Software 141:105051. https://doi.org/10.1016/j. envsoft.2021.105051
- 21. Misra S, Panda RK (2017) Environmental consciousness and brand equity: an impact assessment using analytical hierarchy process (AHP). Mark Intell Plann 35(1):40-61. https://doi.org/10.1108/MIP-09-2015-0174
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- 24. Ramkar P, Yadav SM (2021) Flood risk index in data-scarce river basins using the AHP and GIS approach. Nat Hazards 109:1119-1140. https://doi.org/10.1007/s11069-021-04871-x
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- 26. Sharma A, Baruah A, Mangukiya N, Hinge G, Bharali B (2022) Evaluation of Gangetic dolphin habitat suitability under hydroclimatic changes using a coupled hydrological-hydrodynamic approach. Ecol Inform. https://doi.org/10.1016/j.ecoinf.2022.101639
- 27. Sosa J, Sampson C, Smith A, Neal J, Bates P (2020) A toolbox to quickly prepare flood inundation models for LISFLOOD-FP simulations. Environ Modell Software 123:104561. https://doi.org/10.1016/j. envsoft.2019.104561
- 28. Ullah K, Zhang J (2020) GIS-based floodhazard mapping using relative frequency ratiomethod: A case study of Panjkora River Basin, Eastern Hindu Kush, Pakistan. PLoS ONE 15(3):e0229153. https://doi.org/10.1371/journal.pone.0229153
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- 31. Zhang K, Shalehy MH, Ezaz GT, Chakraborty A, Mohib KM, Liu L (2022) An integrated flood risk assessment approach based on coupled hydrological-hydraulic modeling and bottom-up hazard vulnerability analysis. Environ Modell Software 148:105279. https://doi.org/10.1016/j.envsoft.2021.105279
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-05ec6cf0-09b5-426a-ae2f-bf49f12275b8