Estimation of Runoff in Data Scare Watershed of Middle Gujarat, India Using HEC-HMS Model

Suryaprakash Suryavansi *

College of Agricultural Engineering and Technology, Anand Agricultural University, Godhra, India.

R. Subbaiah

College of Agricultural Engineering and Technology, Anand Agricultural University, Godhra, India.

Mukesh Kumar Tiwari

College of Agricultural Engineering and Technology, Anand Agricultural University, Godhra, India.

Nirav K. Pampaniya

College of Forestry, Navsari Agricultural University, Navsari, India.

Pankaj Gupta

College of Agricultural Engineering and Technology, Anand Agricultural University, Godhra, India.

Mukeshkumar M. Trivedi

Polytechnique in Agricultural Engineering, Anand Agricultural University, Dahod, India.

*Author to whom correspondence should be addressed.


Abstract

The HEC-HMS model was used to estimate runoff in the Devgadh Baria watershed, which is part of the Panam river catchment area. The SCS UH model and the Clark UH model was both used for runoff estimation. The composite CN of the watershed was found to be 77.69, which indicates that the watershed is relatively impervious with a high rainfall retention capacity. This is due to the prevalence of forest and agricultural land in the watershed, which contribute to the high CN value. A comparison of the two models showed that the SCS UH model outperformed the Clark UH model. The SCS UH model was superior because it is less sensitive to data limitations and is better able to capture the nonlinear relationship between rainfall and runoff. The study also examined the geomorphological features of the watershed, which is characterized by a dendritic drainage network with a 5th order stream. The study's findings are valuable despite some limitations, such as the availability of limited data. The findings of study may be useful flood forecasting and hazardous forecasting, climate change impact assessment, prediction in ungauged watershed, reservoir operation and water management, water resource planning, environmental impact assessment etc., in the watershed.

Keywords: HEC-HMS, Clark UH, SCS UH, GIS, ArcGIS, DSRO, rainfall-runoff, ungauged catchment


How to Cite

Suryavansi , S., Subbaiah, R., Tiwari , M. K., Pampaniya , N. K., Gupta , P., & Trivedi , M. M. (2023). Estimation of Runoff in Data Scare Watershed of Middle Gujarat, India Using HEC-HMS Model. International Journal of Environment and Climate Change, 13(9), 1066–1084. https://doi.org/10.9734/ijecc/2023/v13i92329

Downloads

Download data is not yet available.

References

Kunapara AN, Subbaiah R, Prajapati GV, Makwana JJ. Influence of drip irrigation regimes and lateral spacing on cumin productivity. Current World Environment. 2016;11(1):333-337.

Amisigo BA, Van de Giesen N, Rogers C, Andah WEI, Friesen J. Monthly streamflow prediction in the Volta Basin of West Africa: a SISO NARMAX polynomial modelling. Phys Chem Earth Parts A B C. 2008;33(1-2):141-50.

Taylor JC, van de Giesen N, Steenhuis TS. West Africa: Volta discharge data quality assessment and use 1. JAWRA Journal of the American Water Resources Association. 2006;42(4):1113-1126.

Ntoanidis LI, Mimikou MA, Argyropoulos D. Str. Intercomparisons of the lumped versus semi-distributed Hec –Hms hydrological model in the Kalamas River Basin. In: Proceedings of the environmental science and technology, Athens. 2013;2013, 1–8 (September), 5–7.

Gebre SL. Application of the HEC-HMS model for runoff simulation of Upper Blue Nile River Basin. Hydrol Current Res. 2015;06(2).

Gull S, Shah SR. Watershed models for assessment of hydrological behaviour of the catchments: A comparative study. Water Pract Technol. 2020;15(2): 261-81.

Song X, Kong F, Zhu Z. Application of Muskingum routing method with variable parameters in ungauged basin. Water Sci Eng. 2011;4(1):1-12.

Khaddor I, Achab M, Soumali MR, Alaoui AH. Rainfall-runoff calibration for semi-arid ungauged basins based on the cumulative observed hyetograph and SCS storm model: Application to the Boukhalef watershed (Tangier, Northwestern Morocco). J Mater Environ Sci. 2017; 8(10):3795-808.

Pichuka S, Prasad RR, Maity R, Kunstmann H. Development of a method to identify change in the pattern of extreme streamflow events in future climate: Application on the Bhadra reservoir inflow in India. J Hydrol Reg Stud. 2017;9: 236-46.

Winarta B, Juwono PT, Ghani NAA. Rainfall runoff model evaluation for Lebir River, Kelantan, Malaysia. IOP Conf Ser Earth Environ Sci. 2019;366(1):012037.

Bennett TH, Peters JC. Continuous soil moisture accounting in the hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS). In: Building partnerships. 2000;1-10.

Al-Abed N, Abdulla F, Abu Khyarah A. GIS-hydrological models for managing water resources in the Zarqa River basin. Environ Geol. 2005;47(3):405-11.

Oleyiblo JO, Li ZJ. Application of HEC-HMS for flood forecasting in Misai and Wan’an catchments in China. Water Sci Eng. Hohai University. Production and hosting by Elsevier BV. 2010;3(1):14-22.

Ashish B, Yadav HL, Dilip K. Estimation of infiltration parameter for Tehri Garhwal catchment. Int J Eng Res Technol. 2012;1(7):1-6.

Gautam MR, Timilsina GR, Acharya K. An assessment of potential climate change impacts on the Himalayas. 2013;1(October);.

Shrestha S, Khatiwada M, Babel MS, Parajuli K. Impact of climate change on river flow and hydropower production in Kulekhani hydropower project of Nepal. Environ Processes. 2014;1(3):231-50.

Sok K, Oeurng C. Application of HEC-HMS Model to assess streamflow and water resources availability in stung sangker catchment of mekong’s Tonle Sap Lake Basin in Cambodia. 2016;120136.

Azmat M, Qamar MU, Ahmed S, Hussain E, Umair M. Application of HEC-HMS for the event and continuous simulation in high altitude scarcely gauged catchment under changing climate. Eur Water. 2017;57:77-84.

Derdour A, Bouanani A, Babahamed K. Modelling rainfall runoff relations using HEC-HMS in a semi-arid region: Case study in Ain Sefra watershed, Ksour Mountains (SW Algeria). J Water Land Dev. 2018;36(1):45-55.

Kazezyılmaz-Alhan CM, Yalçın İ, Javanshour K, Aytekin M, Gülbaz S. A hydrological moel for Ayamama watershed in Istanbul, Turkey, using HEC-HMS. Water Pract Technol. 2021;16(1):154-61.

Sharma JR, Bhadra BK, Jyani JP, Sharma R, Agnihotri I, Mahendran A, Tembhurney WM, Jain RK, Paithankar Y, Kalsi AP. National Remote Sensing Centre (NRSC), Central Water Commission (CWC). Mahi basin. Hyderabad & New Delhi: Dadhwal. 2014;V(K).

Coulibaly P, Dibike YB, Anctil F. Downscaling precipitation and temperature with temporal neural networks. J Hydrol Meteorol. 2005;6(4):483-96.

Young CC, Liu WC. Forecasting and modeling of the rain-flow relationship during typhoons using a hybrid model combining a physical-based approach and an artificial neural network. Hydrol Sci J. 2015;60(12):2102-16.

Beven KJ. Rainfall-runoff modelling: the primer. 2nd ed. NJ: Wiley-Blackwell. ISBN: 978-0-470-71459-1; 2012.

Rodell M, Velicogna I, Famiglietti JS. Satellite-based estimates of groundwater depletion in India. Nature. 2009; 460(7258):999-1002.

Roy D, Begam S, Ghosh S, Jana S. Calibration and validation of Hec-Hms model for a river basin in Eastern India. J of AEngineering Appl Sci. 2013;8(1):40-56.

Efthimiou N. Hydrological simulation using the SWAT model: the case of Kalamas River catchment. J Appl Water Eng Res. 2018;6(3):210-27.

Frappart F, Ramillien G. Monitoring groundwater storage changes using the Gravity Recovery and Climate Experiment (GRACE) satellite mission: A review. Remote Sens. 2018;10(6):829.

Raghunath HM. Hydrology: principles, analysis and design. New age international; 2006.

Hoseini Y, Azari A, Pilpayeh A. Flood modeling using WMS model for determining peak flood discharge in southwest Iran case study: Simili basin in Khuzestan Province. Appl Water Sci. 2017;7(6):3355-63.

Yu D, Xie P, Dong X, Hu X, Liu J, Li Y et al. Improvement of the SWAT model for event-based flood simulation on a sub-daily timescale. Hydrol Earth Syst Sci. 2018;22(9):5001-19.

Tassew BG, Belete MA, Miegel K. Application of HEC-HMS model for flow simulation in the lake Tana Basin: the case of Gilgel Abay Catchment, upper blue Nile Basin, Ethiopia. Hydrology. 2019;6(1):21.

Soil conservation service engineering division. Urban hydrology for small watersheds. U.S. Department of Agriculture (USDA), technical. Release 55. Springfield, VA: United States Department of Agriculture; 1986.

Shrestha MN. Spatially distributed hydrological modelling considering land-use changes using remote sensing and GIS. In: Map Asia Conference. 2003;1-8.

Viessman W, Lewis GL. Introduction to hydrology. Prentice Hall; 2003.

United States Army Corps of Engineers hydrologic engineering center (USACE-HEC). HEC-HMS User’s manual. Version 4.9. CA: Davis; 2021.

Sabol GV. Clark unit hydrograph and R-parameter estimation. J Hydraul Eng. 1988;114(1):103-11.

Moriasi DN, Gitau MW, Pai N, Daggupati P. Hydrologic and water quality models: performance measures and evaluation criteria. Trans ASABE. 2015;58(6):1763-85.