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Hydrological modeling of urban catchment using semi-distributed model

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Abstract

The SWAT2012 model was applied to the Indore City, Madhya Pradesh, India for modeling of the hydrological parameters response on urban runoff. The model was calibrated and validated from the period of 1979–2013 using SUFI-2 algorithm of soil and water assessment tool (SWAT) model. Transferability options of the discharge data were investgated to estimate ungauged catchment runoff. Regionalization of the hydrological model parameters method used for transferring data from the donor catchment (Mandleshwar catchment) to the area of interest. The parameters considered for regionalizations are slope of the watershed, soil cover characteristics of the watershed and land use of the watershed. The calibrated and validated cofficient of determination (R2) of monthly runoff values are 0.54 and 0.57 for the period of 1979–2000 and 2001–2013, respectively and Nash–Sutcliffe efficiency for the same period is 0.53–0.57 respectively. Result showed that the model parameters transferred according to the above criteria performs well on the Indore City, Madhya Pradesh, India. therefore, SWAT model is an important tool to estimate the water balance systems of the ungauged catchments.

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References

  • Abbaspour KC, Yang J, Maximov I, Siber R, Bogner K, Mieleitner J, Zobrist J, Srinivasan R (2007) Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J Hydrol 333(2):413–430

    Article  Google Scholar 

  • Adrian B, Pede Z (2012) Design in nature: how the constructal law governs evolution in biology, physics, technology, and social organization. Random House, New York

    Google Scholar 

  • Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment part I: model development. J Am Water Resour Assoc 34(1):73–89. doi:10.1111/j.1752-1688.1998.tb05961.x

    Article  Google Scholar 

  • Beckline M, Kato MS (2014) Assessing the impact of consumer behaviour on food security in South West Cameroon. J Food Secur 2(3):87–91

    Google Scholar 

  • Blöschl G, Sivapalan M (1995) Scale issues in hydrological modelling: a review. Hydrol Process 9(3-4):251–290

    Article  Google Scholar 

  • Chang-yu X (2002) Text book of hydrologic models

  • Fluegel WA (1995) Hydrological response units (HRUs) to preserve basin heterogeneity in hydrological modelling using PRMS/MMS-case study in the Bröl basin, Germany. Int Assoc Hydrol Sci Publ 231:79–87

    Google Scholar 

  • Gassman PW, Reyes MR, Green CH, Arnold JG (2007) The soil and water assessment tool: historical development, applications, and future research directions Invited Review Series. Trans Am Soc Agric Biol Eng 50(4):1211–1250

    Google Scholar 

  • Gupta HV, Sorooshian S, Yapo PO (1999) Status of automatic calibration for hydrologic models: comparison with multilevel expert calibration. J Hydrol Eng 4(2):135–143

    Article  Google Scholar 

  • Hategekimana D (2007) Water balance of Lake Muhazi. MSc Thesis, National University of Rwanda, Butare, Rwanda

  • Haverkamp S, Fohrer N, Frede HG (2005) Assessment of the effect of land use patterns on hydrologic landscape functions: a comprehensive GIS-based tool to minimize model uncertainty resulting from spatial aggregation. Hydrol Process 19(3):715–727

    Article  Google Scholar 

  • Jarboe JE, Haan CT (1974) Calibrating a water yield model for small ungaged watersheds. Water Resour Res 10(2):256–262

    Article  Google Scholar 

  • Jat MK, Khare D, Garg PK (2009) Urbanization and its impact on groundwater: a remote sensing and GIS-based assessment approach. Environmentalist 29(1):17

    Article  Google Scholar 

  • Legates DR, McCabe GJ (1999) Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resour Res 35(1):233–241

    Article  Google Scholar 

  • McIntyre N, Lee H, Wheater H, Young A, Wagener T (2005) Ensemble predictions of runoff in ungauged catchments. Water Resour Res 41(12):1–4. doi:10.1029/2005WR004289

    Article  Google Scholar 

  • Merz R, Blöschl G (2004) Regionalisation of catchment model parameters. J Hydrol 287(1):95–123

    Article  Google Scholar 

  • Meshesha TW, Tripathi SK, Khare D (2016) Analyses of land use and land cover change dynamics using GIS and remote sensing during 1984 and 2015 in the Beressa Watershed Northern Central Highland of Ethiopia. Model Earth Syst Environ 2(4):168

    Article  Google Scholar 

  • Mishra N (2015) Assessment of surface runoff in a Barinallah watershed using distributed parameter model (SWAT model). J Water Resour Environ Eng 1(1):31–38

    Google Scholar 

  • Mondal A, Khare D, Kundu S, Mishra PK, Meena PK., 2014. Landuse change prediction and its impact on surface run-off using fuzzy c-mean, Markov chain and curve number methods. In: Proceedings of the Third International Conference on Soft Computing for Problem Solving. Springer India, pp 365–376

  • Moriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans Asabe 50(3):885–900

    Article  Google Scholar 

  • Munyaneza O, Mukubwa A, Maskey S, Wenninger J, Uhlenbrook S (2013) Assessment of surface water resources availability using catchment modeling and the results of tracer studies in the meso-scale Migina Catchment, Rwanda. Hydrol Earth Syst Sci Discuss 10(12):15375–15408

    Article  Google Scholar 

  • Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I—A discussion of principles. J Hydrol 10(3):282–290

    Article  Google Scholar 

  • Nietsch SL, Arnold JG, Kiniry JR, Williams JR (2005) SWAT theoretical documentation, version 2005, Grassland, Soil and Water Research Laboratory, Agricultural Research Service, Temple, TX

  • Ouarda TBMJ, Cunderlik JM, St-Hilaire A, Barbet M, Bruneau P, Bobée B (2006) Data-based comparison of seasonality-based regional flood frequency methods. J Hydrol 330(1):329–339

    Article  Google Scholar 

  • Pandey BK, Gosain AK, Paul G, Khare D (2016) Climate change impact assessment on hydrology of a small watershed using semi-distributed model. Appl Water Sci 1–13. doi:10.1007/s13201-016-0383-6

  • Samaniego L, Bárdossy A (2005) Robust parametric models of runoff characteristics at the mesoscale. J Hydrol 303(1):136–151

    Article  Google Scholar 

  • Santhi C, Arnold JG, Williams JR, Dugas WA, Srinivasan R, Hauck LM (2001) Validation of the swat model on a large rwer basin with point and nonpoint sources. JAWRA J Am Water Resour Assoc 37(5):1169–1188

    Article  Google Scholar 

  • Schuol J, Abbaspour KC (2006) Calibration and uncertainty issues of a hydrological model (SWAT) applied to West Africa. Adv Geosci 9:137–143

    Article  Google Scholar 

  • Singh VP, Woolhiser DA (2002) Mathematical modeling of watershed hydrology. J Hydrol Eng 7(4):270–292

    Article  Google Scholar 

  • Sivapalan M, Takeuchi K, Franks SW, Gupta VK, Karambiri H, Lakshmi V, Liang X, McDonnell JJ, Mendiondo EM, O’connell PE, Oki T (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

    Article  Google Scholar 

  • UNCE (2015b) University of nevada cooperative extension. Urbanization and the Water Cycle, Audiovisual–05-12

  • USDA Soil Conservation Service (2004) National Engineering Handbook part 630 Hydrology, Chaps 4–10

  • Van Liew MW, Schneider JM, Garbrecht JD (2003) Streamflow response of an agricultural watershed to seasonal changes in precipitation. In: Proceedings of the 1st interagency conference on research in the watersheds (ICRW), pp 27–30

  • Vogel RM (2006) Regional calibration of watershed models. In: Singh VP, Frevert DK (eds) Watershed models, Chap 3. CRC Press, Boca Raton, pp 47–71

    Google Scholar 

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Authors and Affiliations

  1. Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee, India

    Afera Halefom, Ermias Sisay, Deepak Khare, Lakhwinder Singh & Tesfa Worku

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  1. Afera Halefom
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  2. Ermias Sisay
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  3. Deepak Khare
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  4. Lakhwinder Singh
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  5. Tesfa Worku
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Correspondence to Afera Halefom.

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Halefom, A., Sisay, E., Khare, D. et al. Hydrological modeling of urban catchment using semi-distributed model. Model. Earth Syst. Environ. 3, 683–692 (2017). https://doi.org/10.1007/s40808-017-0327-7

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  • DOI: https://doi.org/10.1007/s40808-017-0327-7

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