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Spatial regression approach to estimate synthetic unit hydrograph by geomorphic characteristics of watersheds in arid regions

Abstract

Rainfall-runoff relationship in arid regions is unique and challenging to study. Studies for bridging the hydro-meteorological knowledge gap for planning, designing and managing water resources is therefore vitally important. The objective of this study is to develop a method for estimating unit hydrograph at reasonably finer time resolutions (10-min and 1-h) which can be easily adaptable by practitioners at sub-catchment levels, especially when the focus area is ungauged. Observed wadi-flow at 5-min interval and tipping bucket rainfall measurements at 1-min interval were obtained to cover 10 major watersheds in Oman. The deconvolution method was applied to derive the unit hydrographs (UHs) from wadi-flow and excess rainfall. Key catchment characteristics such as the watershed area, length of the main wadi and the length to the centroid of the catchment area were derived from digital elevation model (DEM) data. The whole study area was then divided into 515 sub-catchments with various shapes and sizes. A strong relationship was found between the wadi length and the length to the centroid of the catchment area (R2>0.89). This relationship was then adopted to simplify the classical Snyder method to determine UHs. Moreover, several parameters of the Snyder method were calibrated to the arid environment by matching the peak-flow, lag-time and three time-widths (75%, 50% and 30% of the peak-flow) of 10-min and 1-h UHs with physical characteristics of the watersheds. All developed relationships were validated with independent rainfall and wadi-flow events. Results indicate that the calibrated parameters in these arid watersheds are quite distinct from those suggested for other regions of the world. A marked difference was found between the 10-min UHs estimated by the S-hydrograph method and the deconvolution method. Therefore, it is concluded that a method depends on natural hydro-meteorological conditions would be more practical in arid region. The proposed methodology can be used for water resources management in arid regions having similar climate and geographical settings.

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References

  • Abdalla F, Shamy I, El Bamousa A O, et al. 2014. Flash floods and groundwater recharge potentials in arid land alluvial basins, Southern Red Sea Coast, Egypt. International Journal of Geosciences, 5(9): 971–982.

    Article  Google Scholar 

  • Abdalla O, Al-Rawahi A S. 2013. Groundwater recharge dams in arid areas as tools for aquifer replenishment and mitigating seawater intrusion: example of AlKhod, Oman. Environmental Earth Sciences, 69: 1951–1962.

    Article  Google Scholar 

  • Ahmadalipour A, Moradkhani H. 2019. A data-driven analysis of flash flood hazard, fatalities, and damages over the CONUS during 1996–2017. Journal of Hydrology, 578: 124106.

    Article  Google Scholar 

  • Al-Rawas A G, Valeo C. 2010. Relationship between wadi drainage characteristics and peak-flood flows in arid northern Oman. Hydrological Sciences Journal, 55(3): 377–393.

    Article  Google Scholar 

  • AlSarmi S H, Washington R. 2013. Changes in climate extremes in the Arabian Peninsula: analysis of daily data. International Journal of Climatology, 34(5): 1329–1345.

    Article  Google Scholar 

  • Angelidis P, Kotsikas M, Kotsovinos N. 2010. Management of upstream dams and flood protection of the Transboundary River Evros/Maritza. Water Resources Management, 24: 2467–2484.

    Article  Google Scholar 

  • Badrzadeh H, Sarukkalige R, Jayawardena A W. 2015. Hourly runoff forecasting for flood risk management: application of various computational intelligence models. Journal of Hydrology, 529: 1633–1643.

    Article  Google Scholar 

  • Bhuyan M K, Kumar S, Jena J, et al. 2015. Flood hydrograph with synthetic unit hydrograph routing. Water Resources Management, 29: 5765–5782.

    Article  Google Scholar 

  • Borga M, Capovilla A, Cazorzi F, et al. 1991. Development and application of a real-time flood forecasting system in the Veneto region of Italy. Water Resources Management, 5: 209–216.

    Article  Google Scholar 

  • Chow V T, Maidment D R, Mays L W 1988. Applied Hydrology. New York: McGraw-Hill, 213–230.

    Google Scholar 

  • Clark C O. 1943. Storage and the unit hydrograph. Proceedings of the American Society of Civil Engineers, 69(9): 1333–1360.

    Google Scholar 

  • Dingman S L 2015. Physical Hydrology (3rd ed.). Illinois: Waveland Press Inc, 455–514.

    Google Scholar 

  • El Hassan A A, Sharif H O, Jackson T, et al. 2013. Performance of a conceptual and physically based model in simulating the response of a semi-urbanized watershed in San Antonio, Texas. Hydrological Processes, 27(24): 3394–3408.

    Article  Google Scholar 

  • Ghoneim E, Foody G M. 2013. Assessing flash flood hazard in an arid mountainous region. Arabian Journal of Geosciences, 6: 1191–1202.

    Article  Google Scholar 

  • Gray D M. 1961. Synthetic unit hydrographs for small watersheds. Journal of Hydraulics Division, 87(HY4): 33–54.

    Google Scholar 

  • Greenbaum N, Margalit A, Schick A B, et al. 1998. A high magnitude storm and flood in a hyperarid catchment, Nahal Zin, Negev Desert, Israel. Hydrological Processes, 12(1): 1–23.

    Article  Google Scholar 

  • Gunawardhana L N, Al-Rawas G A. 2016. A comparison of trends in extreme rainfall using 20-year data in three major cities in oman. The Journal of Engineering Research, 13(2): 137–148.

    Google Scholar 

  • Gunawardhana L N, Al-Rawas G A, Kwarteng A Y, et al. 2017. Potential changes in the number of wet days and its effect on future intense and annual precipitation in northern Oman. Hydrology Research, 49(1): 237–250.

    Article  Google Scholar 

  • Hering D, Gerhard M, Manderbach R, et al. 2004. Impact of a 100-year flood on vegetation, benthic invertebrates, riparian fauna and large woody debris standing stock in an alpine floodplain. River Research and Applications, 20(4): 445–457.

    Article  Google Scholar 

  • Jena S K, Tiwari K N. 2006. Modeling synthetic unit hydrograph parameters with geomorphologic parameters of watersheds. Journal of Hydrology, 319(1–4): 1–14.

    Article  Google Scholar 

  • Kazama S, Sato A, Kawagoe S. 2009. Evaluating the cost of flood damage based on changes in extreme rainfall in Japan. Sustainability Science, 4: 61–69.

    Article  Google Scholar 

  • Mayaud C, Gabrovšeka F, Blatnika M, et al. 2019. Understanding flooding in poljes: A modelling perspective. Journal of Hydrology, 575: 874–889.

    Article  Google Scholar 

  • McCune R H 1998. Hydrologic analysis and design (2nd ed.). New Jersey: Prentice Hall, 489–493.

    Google Scholar 

  • Merz B, Kreibich H, Schwarze R, et al. 2010. Assessment of economic flood damage. Natural Hazards and Earth System Sciences, 10: 1697–1724.

    Article  Google Scholar 

  • Nouh M. 1990. Flood hydrograph estimation from arid catchment morphology. Hydrological Processes, 4(2): 103–120.

    Article  Google Scholar 

  • Parsons M. 2018. Extreme floods and river values: A social-ecological perspective. River Research and Applications, 35(10): 1677–1687.

    Article  Google Scholar 

  • Pilgrim D H, Chapman T G, Doran D G. 1988. Problems of rainfall-runoff modelling in arid and semiarid regions. Hydrological Sciences, 33: 379–400.

    Article  Google Scholar 

  • Sen Z. 2008. Modified hydrograph method for arid regions. Hydrological Processes, 22(3): 356–365.

    Article  Google Scholar 

  • Sherman L K. 1932. Streamflow from rainfall by the unit-graph method. Engineering News Record, 108: 501–505.

    Google Scholar 

  • Snyder F F. 1938. Synthetic unit-hydrographs. Eos Transactions American Geophysical Union, 19(1): 447–454.

    Article  Google Scholar 

  • USDA-SCS (United States Department of Agriculture-Soil Conservation Service) 1972. National Engineering Handbook, Section 4-Hydrology. Washington D C: USDA-SCS.

    Google Scholar 

  • Sudhakar B S, Anupam K S, Akshay O J. 2015. Snyder unit hydrograph and GIS for estimation of flood for un-gauged catchments in Lower Tapi Basin, India. Hydrology Current Research, 6(1): 1–10.

    Google Scholar 

  • Sugawara M 1995. Tank model, computer models of watershed hydrology, In: Singh V P. Computer Models of Watershed Hydrology. Colorado: Water Resources Publications, Highlands Ranch, 1130.

    Google Scholar 

  • Tomirotti M, Mignosa P. 2017. A methodology to derive synthetic design hydrographs for river flood management. Journal of Hydrology, 555: 736–743.

    Article  Google Scholar 

  • Usul N, Tezcan B. 1995. Determining synthetic unit hydrographs and parameters for four Turkish basins. Journal of Soil and Water Conservation, 50(2): 170–173.

    Google Scholar 

  • Young M E, Macumber P G, Watts M, et al. 2004. Electromagnetic detection of deep freshwater lenses in a hyper-arid limestone terrain. Journal of Applied Geophysics, 57(1): 43–61.

    Article  Google Scholar 

Download references

Acknowledgements

The data of this study were obtained from the Ministry of Regional Municipality and Water Resources (MRMWR), Oman to be used for research purposes only. The data are not publicly available but can be requested from MRMWR.

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Correspondence to Luminda N. Gunawardhana.

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Gunawardhana, L.N., Al-Rawas, G.A. & Baawain, M.S. Spatial regression approach to estimate synthetic unit hydrograph by geomorphic characteristics of watersheds in arid regions. J. Arid Land 12, 950–963 (2020). https://doi.org/10.1007/s40333-020-0101-y

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  • DOI: https://doi.org/10.1007/s40333-020-0101-y

Keywords

  • deconvolution method
  • S-hydrograph method
  • Snyder method
  • DEM data
  • river length