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Holistic framework for flood hazard assessment in a trans-boundary basin

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Czasopismo
Rocznik
Strony
1017--1032
Opis fizyczny
Bibliogr. 32 poz.
Twórcy
  • 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
  • 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
  • North Eastern Space Applications Centre, Department of Space, Government of India, Umiam, India
Bibliografia
  • 1. Abdessamed D, Abderrazak B (2019) Coupling HEC-RAS and HEC-HMS in rainfall-runoff modeling and evaluating floodplain inundation maps in arid environments: case study of Ain Sefra city, Ksour Mountain. SW of Algeria. Environ Earth Sci 78(19):586. https://doi.org/10.1007/s12665-019-8604-6
  • 2. Abdi R, Endreny T, Nowak D (2020) i-Tree cool river: an open source, freeware tool to simulate river water temperature coupled with HEC-RAS. MethodsX 7:100808. https://doi.org/10.1016/j.mex.2020.100808
  • 3. Abdullah MF, Siraj S, Hodgett RE (2021) An overview of Multi-Criteria Decision Analysis (MCDA) application in managing water-related disaster events: analyzing 20 years of literature for flood and drought events. Water (basel). https://doi.org/10.3390/w13101358 Assam State Disaster Management Agency (http://sdmassam.nic.in)
  • 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
  • 5. Baruah A, Kumar Sarma A, Hinge G (2021) Hydrological-Hydrodynamic nexus for evaluation of fish habitat suitability in the Bhogdoi River, India. J Hydrol Eng. https://doi.org/10.1061/(asce)he.1943-5584. 0002127
  • 6. Brito MMDB, Almoradie A, Evers M (2019) Spatially-explicit sensitivity and uncertainty analysis in a MCDA-based flood vulnerability model. Int J Geogr Inf Sci 33:1788-1806. https://doi.org/10.1080/ 13658816.2019.1599125
  • 7. Chen JF, Hsieh HN, Do QH (2015) Evaluating teaching performance based on fuzzy AHP and comprehensive evaluation approach. Appl Soft Comput 28:100-108. https://doi.org/10.1016/j.asoc.2014.11.050
  • 8. Cui T, Tian F, Yang T, Wen J, Khan MYA (2020) Development of a comprehensive framework for assessing the impacts of climate change and dam construction on flow regimes. J Hydrol 590:125358. https://doi.org/10.1016/j.jhydrol.2020.125358
  • 9. Cunge JA (1969) On the subject of a flood propagation computation method (musklngum method). J Hydraul Res 7(2):205-230. https:// doi.org/10.1080/00221686909500264
  • 10. David Knighton A, Nanson GC (2002) Inbank and overbank velocity conditions in an arid zone anastomosing river. Hydrol Process 16(9):1771-1791. https://doi.org/10.1002/hyp.1076
  • 11. Devi D, Baruah A, Sarma AK (2022) Characterization of dam-impacted flood hydrograph and its degree of severity as a potential hazard. Nat Hazards 112:1989-2011. https://doi.org/10.1007/ s11069-022-05253-7
  • 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
  • 22. Ponce VM, Yevjevich V (1978) Muskingum-Cunge method with variable parameters. J Hydrauli Div 104(12):1663-1667. https://doi.org/10. 1061/JYCEAJ.0005119
  • 23. Putra MSD, Andryana S, Fauziah GA (2018) Fuzzy analytical hierarchy process method to determine the Quality of Gemstones. Adv Fuzzy Syst 2018:9094380. https://doi.org/10.1155/2018/9094380
  • 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
  • 25. Samanta S, Koloa C, Kumar PD, Palsamanta B (2016) Flood Risk analysis in lower part of markham river based on Multi-Criteria Decision Approach (MCDA). Hydrology. https://doi.org/10.3390/hydrology3 030029
  • 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
  • 29. Wilson JP, Gallant JC (2000) Terrain analysis, principle and applications. John Wiley and Sons Inc., New York
  • 30. Xue B, Zhang H, Wang Y, Tan Z, Zhu Y, Shrestha S (2021) Modeling water quantity and quality for a typical agricultural plain basin of northern China by a coupled model. Sci Total Environ 790:148139. https://doi.org/10.1016/j.scitotenv.2021.148139
  • 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
  • 32. Zotou I, Bellos V, Gkouma A, Karathanassi V, Tsihrintzis VA (2020) Using sentinel-1 imagery to assess predictive performance of a hydraulic model. Water Resour Manage 34:4415-4430. https:// doi.org/10.1007/s11269-020-02592-7
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-05ec6cf0-09b5-426a-ae2f-bf49f12275b8
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