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Sub-catchments flow losses computation using Muskingum–Cunge routing method and HEC-HMS GIS based techniques, case study of Wadi Al-Lith, Saudi Arabia

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Abstract

Due to permanent dry conditions in arid land basins, channels experience a great quantity of water loss during the runoff process. The objective of this study is to quantify and delineate the spatial variability of channel losses over the contributing area of the upstream side of Wadi Al-Lith, in the western region of Saudi Arabia, by using Muskingum–Cunge flow routing method. HEC-HMS model was used here to simulate rainfall-runoff relationship, to route flood hydrograph, and to determine losses in the channel network of the basin. The required geomorphological parameters such as channel’s geometry, roughness coefficient, and slopes obtained from GIS and field measurements. The model was calibrated and validated on real rainfall-runoff events and the optimized parameters were generalized. Results showed that both calibrated and validated hydrographs are in good agreement with observed hydrographs. Channel constituted the highest losses from the total rainfall and that these losses increased as the basin area increased and the slope decreased. The maximum percentage loss was 47.3% and the minimum percentage loss was 2.1%. Although these losses are from surface water, at the same time these losses are considered as gains to the subsurface storage. Therefore, such losses and gains should be considered in the water resources planning and management formulation.

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References

  • Abida H, Ellouze M, Mahjoub MR (2005) Flood routing of regulated flows in Medjerda River. Tunis J Hydroinformatics 7:209–216

    Google Scholar 

  • Al-Ahmadi FS (2005) Rainfall-runoff modeling in arid regions using geographic information systems and remote sensing: case study; western region of Saudi Arabia. King Abdulaziz University, Jeddah

    Google Scholar 

  • Choudhury P, Shrivastava RK, Narulkar SM (2002) Flood routing in river networks using equivalent Muskingum inflow. J Hydrol Eng 7:413–419

    Article  Google Scholar 

  • Cunge JA (1969) On the subject of a flood propagation computation method (Musklngum method). J Hydraul Res 7:205–230

    Article  Google Scholar 

  • Dastorani MT, Khodaparast R, Talebi A, Vafakhah M, Dashti J (2011) Determination of the ability of HEC-HMS Model components in rainfall-run-off simulation research. J Environ Sci 5:790

    Article  Google Scholar 

  • Delphi M, Shooshtari MM, Zadeh HH (2010) Application of Diffusion Wave Method for Flood Routing in Karun River. Int J Environ Sci Dev 1:432

    Article  Google Scholar 

  • Fenton JD (2010) Accuracy of Muskingum-Cunge flood routing. Technical report, Alternative Hydraulics, Institute of Hydraulic and Water Resources Engineering. http://johndfenton.com/Papers/03-Accuracy-of-Muskingum-Cunge-flood-routing.pdf

  • Fread D (1983) A unified coefficient routing model. In: Paper present at seminar, Department of Civil Engineering, Pa. State University, University Park

  • Haktanir T, Ozmen H (1997) Comparison of hydraulic and hydrologic routing on three long reservoirs. J Hydraul Eng 123:153–156

    Article  Google Scholar 

  • Hughes DA (2008) Modelling semi-arid and arid hydrology and water resources: the southern Africa experience. In: Wheater H, Sorooshian S, Sharma KD (eds) Hydrological modelling in arid and semi-arid areas. Cambridge University Press, Cambridge, pp 29–40

  • Ivkovic KM (2009) A top–down approach to characterise aquifer–river interaction processes. J Hydrol 365:145–155

    Article  Google Scholar 

  • Kafle T, Hazarika M, Karki S, Shrestha R, Sharma S, Samarakoon L (2007) Basin scale rainfall-runoff modelling for flood forecasts. In: Proceedings of the 5th Annual Mekong Flood Forum, Ho Chi Minh City, Vietnam, pp 17–18

  • Lange J (2005) Dynamics of transmission losses in a large arid stream channel. J Hydrol 306:112–126

    Article  Google Scholar 

  • Lawyer (1964) Flood routing. In: US Army Corps of Engineers (ed) Handbook of applied hydrology, Sect. 25-II river division. US Army Corps of Engineers, Ohio, pp 35–58

    Google Scholar 

  • McCarthy GT (1939) The unit hydrograph and flood routing. US Corps Engrs Office, Providence, RI, USA

  • Merkel WH (2002) Muskingum-Cunge flood routing procedure in NRCS hydrologic models. In: Second Fed. Interag. Hydrol. Model. Conf., Las Vegas, Nevada

  • Merz R, Blöschl G (2009) A regional analysis of event runoff coefficients with respect to climate and catchment characteristics in Austria. Water Resour Res 45:W01405. doi:10.1029/2008WR007163

  • Micheal A, Ojha T (2006) Principles of agricultural engineering. Jain Bros

  • NERC (1975) Flood-routing studies. Report No V–III. Natural Environment Research Council, London

    Google Scholar 

  • Radmanesh F, Hemat JP, Behnia A, Khond A, Mohamad BA (2006) Calibration and assessment of HEC-HMS model in Roodzard watershed. In: 17 th international conference of river engineering, university of Shahid Chamran, Ahva

  • Renard K, Nichols M, Woolhiser D, Osborn H (2008) A brief background on the US Department of Agriculture Agricultural Research Service Walnut Gulch Experimental Watershed. Water Resour Res 44

  • Shaw EM (1994) Hydrologyin practice. Chapman and Hall, London

    Google Scholar 

  • Sophocleous M (2002) Interactions between groundwater and surface water: the state of the science. Hydrogeol J 10:52–67

    Article  Google Scholar 

  • Tewolde MH, Smithers J (2006) Flood routing in ungauged catchments using Muskingum methods. Water SA 32:379–388

    Google Scholar 

  • Wheater HS (2008) Modelling hydrological processes in arid and semi-arid areas: an introduction. In: Wheater H, Sorooshian S, Sharma KD (eds) Hydrological modelling in arid and semi-arid areas. Cambridge University Press, Cambridge, pp 1–20

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Acknowledgements

This project was funded by the National Plan for Science, Technology and Innovation (MAARIFAH)—King Abdulaziz City for Science and Technology - the Kingdom of Saudi Arabia—award number (11-WAT1999-03). The authors also, acknowledge with thanks Science and Technology Unit, King Abdulaziz University for technical support.

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Correspondence to Khalil Ur Rahman.

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Rahman, K.U., Balkhair, K.S., Almazroui, M. et al. Sub-catchments flow losses computation using Muskingum–Cunge routing method and HEC-HMS GIS based techniques, case study of Wadi Al-Lith, Saudi Arabia. Model. Earth Syst. Environ. 3, 4 (2017). https://doi.org/10.1007/s40808-017-0268-1

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