https://doi.org/10.4081/jae.2020.1040
Design discharge estimation in small and ungauged basins: EBA4SUB framework sensitivity analysis
Published: 18 June 2020
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
The design hydrograph and the related peak discharge estimation for small and ungauged basins is a common problem in practical hydrology. When discharge observations are not available, it is difficult to calibrate physically-based hydrological models that are typically characterized by a large number of input parameters. Recently, a simple empirical-conceptual rainfall-runoff model called EBA4SUB (event-based approach for small and ungauged basins) has been proposed. Its advantages are a limited user subjectivity, the employment of advanced hydrologic modules, and the use of input data similar to the information necessary for applying the well-known rational formula. In this contribution we illustrate the EBA4SUB sensitivity analysis, in order to assess the input parameters influence on the output design discharge. Results showed, as expected, that the most effective parameter is the curve number, followed by the concentration time. On the contrary, the threshold area value for classifying the drainage network, the time resolution of the design hyetograph and of the unit hydrograph, and the kinematic parameters needed to estimate the flow time can be considered as ancillary input parameters.
Clark GE, Ahn K-H, Palmer RN, 2017. Assessing a regression-based regionalization approach to ungauged sites with various hydrologic models in a forested catchment in the northeastern United States. Journal of Hydrologic Engineering 22(12), 05017027.
DOI: https://doi.org/10.1061/(ASCE)HE.1943-5584.0001582
Feki M, Ravazzani G, Ceppi A, Milleo G, Mancini M. 2018. Impact of Infiltration Process Modeling on Soil Water Content Simulations for Irrigation Management. Water 10:850.
DOI: https://doi.org/10.3390/w10070850
Gądek WJ, Baziak B., Tokarczyk T, 2017. Nonparametric design hydrograph in the gauged cross sections of the Vistula and Odra basin. Meteorology, Hydrology and Water Management, 5:53–61.
DOI: https://doi.org/10.26491/mhwm/67911
Grimaldi S, Petroselli A, Tauro F, Porfiri M, 2012. Time of concentration: a paradox in modern hydrology. Hydrological Sciences Journal, 57(2):217-228.
DOI: https://doi.org/10.1080/02626667.2011.644244
Gumindoga W, Rwasoka DT, Nhapi I, Dube T, 2017. Ungauged runoff simulation in Upper Manyame Catchment, Zimbabwe: Application of the HEC-HMS model. J. Physics and Chemistry of the Earth 100:371e382.
DOI: https://doi.org/10.1016/j.pce.2016.05.002
Kittel C, Nielsen K, Tøttrup C, Bauer-Gottwein P, 2018. Informing a hydrological model of the Ogooué with multi-mission remote sensing data. Hydrology and Earth System Sciences 22(2):1453-1472
DOI: https://doi.org/10.5194/hess-22-1453-2018
Młyński D, Petroselli A, Wałęga A, 2018. Flood frequency analysis by an event-based rainfall-Runoff model in selected catchments of southern Poland. Soil & Water Res., 13:170−176.
DOI: https://doi.org/10.17221/153/2017-SWR
Montgomery DR, Dietrich WE, 1988. Where do channels begin? Nature 336(6196):232-234.
DOI: https://doi.org/10.1038/336232a0
Nardi F, Annis A, Biscarini C, 2018. On the impact of urbanization on flood hydrology of small ungauged basins: The case study of the Tiber river tributary network within the city of Rome. Journal of Flood Risk Management, 11:S594-S603.
DOI: https://doi.org/10.1111/jfr3.12186
NRCS (Natural Resources Conservation Service), 2008. National engineering handbook - part 630, Hydrology. U.S. Department of Agriculture, Washington, DC, USA.
Oliveira F, Stolpa D, 2003. Effect of the storm hyetograph duration and shape on the watershed response. In: Proc. 82nd Annual Meeting of the Transportation Research Board. Washington DC, USA. 2003.
Petroselli A, Fernandez Alvarez A, 2012. The flat area issue in DEMs and its consequences on the rainfall-runoff modeling. GIScience & Remote Sensing, 49(5):711-734.
DOI: https://doi.org/10.2747/1548-1603.49.5.711
Petroselli A, Grimaldi S, 2018. Design hydrograph estimation in small and fully ungauged basins: a preliminary assessment of the EBA4SUB framework. Journal of Flood Risk Management, 11, S197–S210.
DOI: https://doi.org/10.1111/jfr3.12193
Petroselli A, Vojtek M, Vojteková J, 2019a. Flood mapping in small ungauged basins: a comparison of different approaches for two case studies in Slovakia. Hydrology Research, 50(1):379-392.
DOI: https://doi.org/10.2166/nh.2018.040
Petroselli A, Mulaomerović-Å eta A, LozanÄić Ž, 2019b. A comparison of methodologies for design peak discharge estimation in selected catchments of Bosnia and Herzegovina. Gradjevinar, 71(9): 729-739.
DOI: https://doi.org/10.14256/JCE.2611.2019
Petroselli A, Asgharinia S., Sabzevari T, Saghafian B, 2019c. Comparison of design hydrograph estimation methods for ungauged basins in Iran. In press on Hydrological Sciences Journal.
DOI: https://doi.org/10.1080/02626667.2019.1686506
Pinheiro VB, Naghettini M, 2013. Calibration of the parameters of a rainfall-runoff model in ungauged basins using synthetic flow duration curves as estimated by regional analysis. Journal of Hydrologic Engineering 18(12):1617-1626.
DOI: https://doi.org/10.1061/(ASCE)HE.1943-5584.0000737
Piscopia R, Petroselli A, Grimaldi S, 2015. A software package for the prediction of design flood hydrograph in small and ungauged basins, Journal of Agricultural Engineering 2015; XLVI: 432:74-84.
DOI: https://doi.org/10.4081/jae.2015.432
Razavi T, Coulibaly P, 2017. An evaluation of regionalization and watershed classification schemes for continuous daily streamflow prediction in ungauged watersheds. Canadian Water Resources Journal 42(1):2-20.
DOI: https://doi.org/10.1080/07011784.2016.1184590
Rawls WJ, Brakensiek CL, Saxton KE, 1982. Estimation of soil water properties. Transactions - American Society of Agricultural Engineers 25(5):1316-1320, 1328.
DOI: https://doi.org/10.13031/2013.33720
Recanatesi F, Petroselli A, Ripa MN, Leone A, 2017. Assessment of stormwater runoff management practices and BMPs under soil sealing: a study case in a peri-urban watershed of the metropolitan area of Rome (Italy). Journal of Environmental Management, 201:6-18.
DOI: https://doi.org/10.1016/j.jenvman.2017.06.024
Sabzevari T, 2017. Runoff prediction in ungauged catchments using the gamma dimensionless time-area method. Arabian Journal of Geosciences, 10(6):131.
DOI: https://doi.org/10.1007/s12517-017-2852-0
Sikorska AE, Viviroli D, Seibert J, 2017. Effective precipitation duration for runoff peaks based on catchment modelling. J. Hydrol., 556:510–522.
DOI: https://doi.org/10.1016/j.jhydrol.2017.11.028
Sivapalan M, Takeuchi K, Franks SW, Gupta VK, Karambiri H, Lakshmi V, Liang X, McDonnell JJ, Mendiondo EM, O’Connell PE, Oki T, Pomeroy JW, Schertzer D, Uhlenbrook S, Zehe E, 2003. IAHS decade on Predictions in Ungauged Basins (PUB), 2003–2012: shaping an exciting future for the hydrological sciences. Hydrol Sci J, 48(6):857–880.
DOI: https://doi.org/10.1623/hysj.48.6.857.51421
Šraj M, Dirnbek L, Brilly M, 2010. The influence of effective rainfall on modeled runoff hydrograph. J. Hydrol. Hydromech., 58:3–14.
DOI: https://doi.org/10.2478/v10098-010-0001-5
Vojtek M, Vojteková J, 2016. Flood hazard and flood risk assessment at the local spatial scale: a case study. Geomatics Natural Hazards and Risk 7 (6):1973–1992.
DOI: https://doi.org/10.1080/19475705.2016.1166874
Vojtek M, Petroselli A, Vojteková J, Ashgarinia S, 2019. Flood inundation mapping in small and ungauged basins: sensitivity analysis using the EBA4SUB and HEC-RAS modeling approach. Hydrology Research, 50(4), 1002-1019.
DOI: https://doi.org/10.2166/nh.2019.163
Wałęga A, 2016. The importance of calibration parameters on the accuracy of the floods description in the Snyder’s model. Journal of Water and Land Development, 28:19–25.
DOI: https://doi.org/10.1515/jwld-2016-0002
Wałęga A, Amatya DM, Caldwell P, Marion D, Panda S. 2020. Assessment of storm direct runoff and peak flow rates using improved SCS-CN models for selected forested watersheds in the Southeastern United States. Journal of Hydrology: Regional Studies, 27(100645).
DOI: https://doi.org/10.1016/j.ejrh.2019.100645
Xu Q, Chen J, Peart MR, Ng C, Hau BCH, Law WY, 2018. Exploration of severities of rainfall and runoff extremes in ungauged catchments: A case study of Lai Chi Wo in Hong Kong, China. J. Science of the Total Environment 634:640–649.
DOI: https://doi.org/10.1016/j.scitotenv.2018.04.024
How to Cite
Petroselli, A., Piscopia, R. and Grimaldi, S. . (2020) “Design discharge estimation in small and ungauged basins: EBA4SUB framework sensitivity analysis”, Journal of Agricultural Engineering, 51(2), pp. 107–118. doi: 10.4081/jae.2020.1040.
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