Abstract
The present study focuses on the preparation of a flood hazard map for a sparsely gauged tropical river. Nagavali Basin in the Indian states of Andhra Pradesh and Odisha was chosen for conducting the case study because it has only one gauging station and frequency of flood occurrence is very high. To overcome the data scarcity, streamflow data for ungauged site was simulated through HEC-HMS-based distributed hydrological model using gridded precipitation data. The streamflow for various recurrence interval was predicted using the most appropriate statistical distribution. The predicted streamflow was applied as the boundary condition for HEC-RAS-based hydraulic model to prepare a probabilistic flood inundation map. In this research, comprehensive methodology was provided for estimating design flood at a sparsely gauged river. The outcomes of the study can be facilitated in non-structural flood mitigation measures for both society and policymakers. The flood hazard map also supports designing hydraulic structures for sustaining during a major catastrophe.
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References
Abdelkarim A, Gaber A, Youssef A, Pradhan B (2019) Flood hazard assessment of the urban area of Tabuk City, Kingdom of Saudi Arabia by integrating spatial-based hydrologic and hydrodynamic modeling. Sensors 19:1024. https://doi.org/10.3390/s19051024
APSDMA (2017) District disaster management plan of Srikakulam: General plan and hazard vulnerability and capacity analysis. Srikakulam
Azmat M, Qamar MU, Ahmed S et al (2017) Application of HEC-HMS for the event and continuous simulation in high- altitude scarcely-gauged catchment under changing climate. Eur Water 57:77–84
Barrett JP (1974) The coefficient of determination—some limitations. Am Stat 28:19–20. https://doi.org/10.1080/00031305.1974.10479056
Bhat MS, Alam A, Ahmad B, Kotlia BS, Farooq H, Taloor AK, Ahmad S (2019) Flood frequency analysis of river Jhelum in Kashmir basin. Quat Int 507:288–294. https://doi.org/10.1016/j.quaint.2018.09.039
Carrasco AR, Ferreira Ó, Matias A, Freire P (2012) Flood hazard assessment and management of fetch-limited coastal environments. Ocean Coast Manag 65:15–25. https://doi.org/10.1016/j.ocecoaman.2012.04.016
Chu X, Steinman A (2009) Event and continuous hydrologic modeling with HEC-HMS. J Irrig Drain Eng 135:119–124. https://doi.org/10.1061/(ASCE)0733-9437(2009)135:1(119)
Cochran WG (1952) The chi-square test of goodness of fit. Ann Math Stat 23:315–345. https://doi.org/10.1214/aoms/1177729380
Cunnane C (1989) Statistical distributions for flood frequency analysis. World Meteorological Organization Operational Hydrology, Geneva
Domeneghetti A, Vorogushyn S, Castellarin A, Merz B, Brath A (2013) Probabilistic flood hazard mapping: effects of uncertain boundary conditions. Hydrol Earth Syst Sci 17:3127–3140. https://doi.org/10.5194/hess-17-3127-2013
Erena SH, Worku H, De Paola F (2018) Flood hazard mapping using FLO-2D and local management strategies of Dire Dawa city, Ethiopia. J Hydrol Reg Stud 19:224–239. https://doi.org/10.1016/j.ejrh.2018.09.005
Faghih M, Mirzaei M, Adamowski J, Lee J, el-Shafie A (2017) Uncertainty estimation in flood inundation mapping: an application of non-parametric bootstrapping. River Res Appl 33:611–619. https://doi.org/10.1002/rra.3108
Farooq M, Shafique M, Khattak MS (2019) Flood hazard assessment and mapping of River Swat using HEC-RAS 2D model and high-resolution 12-m TanDEM-X DEM (WorldDEM). Nat Hazards 97:477–492. https://doi.org/10.1007/s11069-019-03638-9
Feldman AD (2000) Hydrologic modeling system HEC HMS- technical reference manual. U.S. Army Corps of Engineers, Hydrologic Engineering Center
Guru N, Jha R (2015) Flood frequency analysis of Tel Basin of Mahanadi River system, India using annual maximum and POT flood data. Aquat Procedia 4:427–434. https://doi.org/10.1016/j.aqpro.2015.02.057
Hajaj PMT, Yarrakula K (2019) Application of synthetic aperture radar imagery for spatio- temporal assessment of flood in Nagavali River. Indian J Ecol 46
Hajaj PMT, Yarrakula K, Durga Rao KHV, Singh A (2019) A semi-distributed flood forecasting model for the Nagavali River using space inputs. J Indian Soc Remote Sens 47:1683–1692. https://doi.org/10.1007/s12524-019-01019-0
Halwatura D, Najim MMM (2013) Application of the HEC-HMS model for runoff simulation in a tropical catchment. Environ Model Softw 46:155–162. https://doi.org/10.1016/j.envsoft.2013.03.006
Jacob XK, Bisht DS, Chatterjee C, Raghuwanshi NS (2019) Hydrodynamic modeling for flood hazard assessment in a data scarce region: a case study of Bharathapuzha River Basin. Environ Model Assess 25:97–114. https://doi.org/10.1007/s10666-019-09664-y
Kuiry SN, Sen D, Bates PD (2010) Coupled 1D–Quasi-2D flood inundation model with unstructured grids. J Hydraul Eng 136:493–506. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000211
Legates DR, McCabe GJ (1999) Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resour Res 35:233–241. https://doi.org/10.1029/1998WR900018
Mateo Lázaro J, Sánchez Navarro JÁ, García Gil A, Edo Romero V (2016) Flood Frequency Analysis (FFA) in Spanish catchments. J Hydrol 538:598–608. https://doi.org/10.1016/j.jhydrol.2016.04.058
Merwade V (2019) Creating SCS curve number grid using HEC-GeoHMS preparing land use data for CN Grid
Neal J, Keef C, Bates P, Beven K, Leedal D (2013) Probabilistic flood risk mapping including spatial dependence. Hydrol Process 27:1349–1363. https://doi.org/10.1002/hyp.9572
Papaioannou G, Vasiliades L, Loukas A, Aronica GT (2017) Probabilistic flood inundation mapping at ungauged streams due to roughness coefficient uncertainty in hydraulic modelling. Adv Geosci 44:23–34. https://doi.org/10.5194/adgeo-44-23-2017
Pedrozo-Acuña A, Rodríguez-Rincón JP, Arganis-Juárez M, Domínguez-Mora R, González Villareal FJ (2015) Estimation of probabilistic flood inundation maps for an extreme event: Pánuco River, México. J Flood Risk Manag 8:177–192. https://doi.org/10.1111/jfr3.12067
Quirogaa VM, Kurea S, Udoa K, Manoa A (2016) Application of 2D numerical simulation for the analysis of the February 2014 Bolivian Amazonia flood: Application of the new HEC-RAS version 5. Ribagua 3:25–33. https://doi.org/10.1016/j.riba.2015.12.001
Rao AR, Hamed KH (1999) Flood frequency analysis. CRC Press
Rao KHVD, Rao VV, Dadhwal VK, Behera G, Sharma JR (2011) A distributed model for real-time flood forecasting in the Godavari Basin using space inputs. Int J Disaster Risk Sci 2:31–40. https://doi.org/10.1007/s13753-011-0014-7
Satheeshkumar S, Venkateswaran S, Kannan R (2017) Rainfall–runoff estimation using SCS–CN and GIS approach in the Pappiredipatti watershed of the Vaniyar sub basin, South India. Model Earth Syst Environ 3:24. https://doi.org/10.1007/s40808-017-0301-4
Savage J, Bates P, Freer J, et al (2014) The impact of scale on probabilistic flood inundation maps using a 2D hydraulic model with uncertain boundary conditions. In: Vulnerability, uncertainty, and risk. American Society of Civil Engineers, Reston, VA, pp 279–289
Sindhu K, Durga Rao KHV (2017) Hydrological and hydrodynamic modeling for flood damage mitigation in Brahmani–Baitarani River Basin, India. Geocarto Int 32:1004–1016. https://doi.org/10.1080/10106049.2016.1178818
Skakun S, Kussul N, Shelestov A, Kussul O (2014) Flood hazard and flood risk assessment using a time series of satellite images: a case study in Namibia. Risk Anal 34:1521–1537. https://doi.org/10.1111/risa.12156
Smirnov N (1948) Table for estimating the goodness of fit of empirical distributions. Ann Math Stat 19:279–281. https://doi.org/10.1214/aoms/1177730256
Chow V Te (2010) Applied hydrology. Tata McGraw-Hill Education
Tramblay Y, Bouvier C, Martin C, Didon-Lescot JF, Todorovik D, Domergue JM (2010) Assessment of initial soil moisture conditions for event-based rainfall–runoff modelling. J Hydrol 387:176–187. https://doi.org/10.1016/j.jhydrol.2010.04.006
USDA (1986) Urban hydrology for small watersheds TR-55. United States Department of Agriculture, Natural Resource Conservation Service
Van Dyck J, Willems P (2013) Probabilistic flood risk assessment over large geographical regions. Water Resour Res 49:3330–3344. https://doi.org/10.1002/wrcr.20149
Willmott CJ (1981) On the validation of models. Phys Geogr 2:184–194. https://doi.org/10.1080/02723646.1981.10642213
Yarrakula K, Deb D, Samanta B (2010) Hydrodynamic modeling of Subernarekha River and its floodplain using remote sensing and GIS techniques. J Sci Ind Res 69:529–536
Zhang D, Quan J, Zhang H, Wang F, Wang H, He XY (2015) Flash flood hazard mapping: a pilot case study in Xiapu River Basin, China. Water Sci Eng 8:195–204. https://doi.org/10.1016/j.wse.2015.05.002
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Iqbal, T.H.P.K.M., Yarrakula, K. Probabilistic flood inundation mapping for sparsely gauged tropical river. Arab J Geosci 13, 940 (2020). https://doi.org/10.1007/s12517-020-05980-w
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DOI: https://doi.org/10.1007/s12517-020-05980-w