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A review of underlying surface parameterization methods in hydrologic models

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Abstract

Numerous topography, land-cover, land-use, and soil-type parameterization methods are required to simulate the hydrologic cycle. In this paper, using the principles of hydrologic cycle simulation, 20 methods commonly applied to runoff-yield simulation are analyzed. Additionally, parameterization methods used in 17 runoff-yield simulation methods and 15 confluence methods are discussed, including the degree of parameterization. Next, the parameterization methods are classified into four categories: not clearly expressed; calibrated; deterministic; and physical—conceptual. Furthermore, we clarify responses and contributions of different parameterization methods to hydrologic cycle simulation results. Finally, major weaknesses of simplified descriptions of complex rational and physical mechanisms in the parameterization methods of the underlying surfaces in hydrologic models are outlined, and two directions of future development are estimated, looking toward simple practicality and complex mechanization.

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References

  • Abbott M B, Bathhurst J C, Cunge J A et al., 1986a. An introduction to the European Hydrologic System-Systeme Hydrologique European, SHE: 1. History and philosophy of a physically based distributed modeling system. Journal of Hydrology, 87(1): 45–59.

    Article  Google Scholar 

  • Abbott M B, Bathhurst J C, Cunge J A et al., 1986b. An introduction to the European Hydrologic System-Systeme Hydrologique European, SHE: 2. Structure of a physically-based distributed modeling system. Journal of Hydrology, 87(1): 61–77.

    Article  Google Scholar 

  • Arnold J G, Williams J R, Srinivasan R et al., 1998. Large area hydrologic modeling and assessment (Part 1): Model development. Journal of the American Water Resources Association, 34(1): 73–89.

    Article  Google Scholar 

  • Bajracharya K, Barry D A, 1997. Accuracy criteria for linearised diffusion wave flood routing. Journal of Hydrology, 195(1): 200–217.

    Article  Google Scholar 

  • Bao W, 2006. Hydrologic Forecasting. Beijing: China Water & Power Press. (in Chinese)

    Google Scholar 

  • Bao W, Zhang J, 2008. Hydrologic Forecasting. Beijing: China Water & Power Press. (in Chinese)

    Google Scholar 

  • Beven K J, Kirkby M J, Schofield N et al., 1984. Testing a physically based flood-forecasting model (Topmodel) for three UK catchments. Journal of Hydrology, 69(1): 119–143.

    Article  Google Scholar 

  • Beven K, Lamb R, Quinn P et al., 1995. Topmodel. In: Computer Models of Watershed Hydrology. Colorado: Water Resources Publications, 627–668.

    Google Scholar 

  • Cunge J A, 1969. On the subject of a flood propagation computation method (Muskingum Method). Journal of Hydraulic Research, 7(2): 205–230.

    Article  Google Scholar 

  • Entekhabi D, Asrar G R, Betts A K et al., 1999. An agenda for land surface hydrology research and a call for the second international hydrologic decade. Bulletin of the American Meteorological Society, 80(10): 2043–2058.

    Article  Google Scholar 

  • Feldman A D, 1981. HEC models for water resources system simulation: Theory and experience. Advance in Hydroscience, 12: 297–423.

    Article  Google Scholar 

  • Govindaraju R S, Kavvas M L, Jones S E, 1990. Approximate analytical solutions for overland flows. Water Resources Research, 26(12): 2903–2912.

    Article  Google Scholar 

  • Green W H, Ampt G A, 1911. Studies on soil physics (Part 1): The flow of air and water through soils. The Journal of Agricultural Science, 4: 1–24.

    Article  Google Scholar 

  • Gupta V K, Waymire E, Wang C T, 1980. A representation of an instantaneous unit hydrograph from geomorphology. Water Resources Research, 16(5): 855–862.

    Article  Google Scholar 

  • Horton R E, 1935. Surface runoff phenomena. Horton Hydrology Laboratory.

  • Horton R E, 1940. An approach towards a physical interpretation of infiltration-capacity. Soil Science Society of America Journal, 5: 399–417.

    Article  Google Scholar 

  • Huber W C, Heaney J P et al., 2008. Storm Water Management Model User’s Manual (Version 5.0). US: Environmental Protection Agency.

    Google Scholar 

  • Jia Y, Ni G, Kawahara Y et al., 2001. Development of WEP model and its application to an urban watershed. Hydrologic Process, 15(11): 2175–2194.

    Article  Google Scholar 

  • Jia Y, Wang H, Zhou Z et al., 2006. Development of the WEP-L distributed hydrologic model and dynamic assessment of water resources in the Yellow River Basin. Journal of Hydrology, 331(3): 606–629.

    Article  Google Scholar 

  • Kuk-Hyun A, Venkatesh M, 2014. Quantifying the relative impact of climate and human activities on stream flow. Journal of Hydrology, 515: 257–266.

    Article  Google Scholar 

  • Lei X, Jiang Y, Wang H et al., 2010a. Distributed hydrologic model Easy DHM II: Application. Journal of Hydraulic Engineering, 41(8): 893–899. (in Chinese)

    Google Scholar 

  • Lei X, Liao W, Jiang Y et al., 2010b. Distributed hydrologic model Easy DHM I: Theory. Journal of Hydraulic Engineering, 41(7): 786–794. (in Chinese)

    Google Scholar 

  • Li J, Liu C, Wang Z et al., 2015. Two universal runoff yield models: SCS vs. LCM. Journal of Geographical Sciences, 25(3): 311–318.

    Article  Google Scholar 

  • Li Li, 2007. Study on flood routing of distributed hydrologic models [D]. Nanjing: Hohai University. (in Chinese)

    Google Scholar 

  • Liang X, Lettenmaier D P, Wood E F, 1994. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. Journal of Geophysical Research, 99(D7): 14415–14428.

    Article  Google Scholar 

  • Liang X, Wood E F, Lettenmaier D P, 1996. Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification. Global and Planetary Change, 13(1): 195–206.

    Article  Google Scholar 

  • Liang W, Bai D, Wang F et al., 2015. Quantifying the impacts of climate change and ecological restoration on stream flow changes based on a Budyko hydrological model in China’s Loess Plateau. Water Resources Research, 51(8): 6500–6519.

    Article  Google Scholar 

  • Linsley R K, Kohler M A, Paulhus J L et al., 1975. Hydrology for Engineers. New York: McGraw-Hill Book Company.

    Google Scholar 

  • Liu C, Zheng H, Wang Z, 2006. Distribution Regional Hydrologic Cycle Simulation. Zhengzhou: Yellow River Conservancy Press. (in Chinese)

    Google Scholar 

  • Liu C, Wang Z, Zheng H et al., 2008. Development and application of HIMS system and its custom model. Science in China Press E: Technology Science, 38(3): 350–360. (in Chinese)

    Google Scholar 

  • Liu C, Wang Z, Yang S et al., 2014. Hydro-informatic modeling system: Aiming at water cycle in land surface material and energy exchange processes. Acta Geographica Sinica, 69(5): 579–587. (in Chinese)

    Google Scholar 

  • Liu J, Qiang Z, Xi C et al., 2016. Quantitative evaluations of human- and climate-induced impacts on hydrological processes of China. Acta Geographica Sinica, 71(11): 1875–1885. (in Chinese)

    Google Scholar 

  • Liu Z, Todini E, 2002. Towards a comprehensive physically-based rainfall-runoff model. Hydrology and Earth System Sciences Discussions, 6(5): 859–881.

    Article  Google Scholar 

  • Lu G, He H, 2006. View of global hydrologic cycle. Advances in Water Science, 17(3): 419–424. (in Chinese)

    Google Scholar 

  • Lu G, Wu Z, He H, 2010. Hydrologic Cycle and Quantity Forecast. Beijing: Science Press. (in Chinese)

    Google Scholar 

  • McCarthy G T, 1938. The unit hydrograph and flood routing. Conference of the North Atlantic Division of US Corps of Engineers.

  • Mishra S K, Singh V P, 2003. Soil Conservation Service Curve Number (SCS-CN) Methodology. Netherlands: Kluwer Academic Publishers.

    Book  Google Scholar 

  • Mo X, Liu S, 2004. Simulating the water balance of the Wuding River Basin in the Loess Plateau with a distribution eco-hydrologic model. Acta Geographica Sinica, 59(3): 341–348. (in Chinese)

    Google Scholar 

  • Nash J E, 1957. The form of the instantaneous unit hydrograph. Hydrologic Science B, 45(3): 114–121.

    Google Scholar 

  • Nash J E, 1960. A unit hydrograph study with particular reference to British catchments. Proceedings of the Institution of Civil Engineers B, 17(3): 249–282.

    Article  Google Scholar 

  • Neitsch S L, Arnold J G, Kiniry J R et al., 2011. Soil and Water Assessment Tool Theoretical Documentation (Version 2009). Texas Water Resources Institute.

  • Orlandini S, Perroti A, Sfondrini G et al., 1999. On the storm flow response of upland Alpine catchments. Hydrologic Processes, 13: 549–562.

    Article  Google Scholar 

  • Philip J R, 1954. An infiltration equation with physical significance. Soil Science, 77(2): 153–157.

    Article  Google Scholar 

  • Richards L A, 1931. Capillary conduction of liquids through porous mediums. Journal of Applied Physics, 1(5): 318–333.

    Google Scholar 

  • Rodriguez-Iturbe I, Valdes J B, 1979. The geomorphologic structure of hydrologic response. Water Resources Research, 15(6): 1409–1420.

    Article  Google Scholar 

  • Rui X, 1997. Some problems in research of watershed hydrology model. Advances in Water Science, 8(1): 94–98. (in Chinese)

    Google Scholar 

  • Rui X, 2004. Principles of Hydrology. Beijing: China Water Power Press. (in Chinese)

    Google Scholar 

  • Singh V P, 1988. Hydrologic Systems: Rainfall-Runoff Modeling. Englewood Cliffs: Prentice Hall.

    Google Scholar 

  • Singh V P, 1994. Accuracy of kinematic wave and diffusion wave approximations for space-independent flows. Hydrologic Processes, 18(1): 45–62.

    Article  Google Scholar 

  • Singh V P, 1995. Computer Models of Watershed Hydrology. Colorado: Water Resources Publications.

    Google Scholar 

  • Smith R E, Parlange J Y, 1978. A parameter-efficient hydrologic infiltration model. Water Resources Research, 14(3): 533–538.

    Article  Google Scholar 

  • Soil Conservation Service (SCS), 1993. National Engineering Hand-book. Section 4: Hydrology. USDA, Springfield, VA.

    Google Scholar 

  • Skaggs R W, Khaleel R, 1982. Infiltration. In: Haan C T et al. (eds). Hydrologic Modeling of Small Watersheds. Am. Soc. Agric. Eng., St. Joseph, MI, 121–166.

    Google Scholar 

  • Tang Q, Huang Z, Liu X et al., 2015. Impacts of human water use on the large-scale terrestrial water cycle. Advances in Earth Science, 30(10): 1091–1099. (in Chinese)

    Google Scholar 

  • Ullah W, Dickinson W T, 1979a. Quantitative description of depression storage using a digital surface model: I. Determination of depression storage. Journal of Hydrology, 42(1/2): 63–75.

    Article  Google Scholar 

  • Ullah W, Dickinson W T, 1979b. Quantitative description of depression storage using a digital surface model: II. Characteristics of surface depressions. Journal of Hydrology, 42(1/2): 77–90.

    Article  Google Scholar 

  • USACE, 2000. HEC-HMS Hydrologic Modeling System Technical Reference Manual. Hydrologic Engineering Center, Davis, CA.

    Google Scholar 

  • USACE, 2001. HEC-HMS Hydrologic Modeling System User’s Manual. Hydrologic Engineering Center, Davis, CA.

    Google Scholar 

  • Wang G, 2005. Theory and method of distributed time-variant gain model [D]. Beijing: IGSNRR. (in Chinese)

    Google Scholar 

  • Wood E F, Sivapalan M, Beven K, 1988. Effects of spatial variability and scale with implications to hydrologic modeling. Journal of Hydrology, 102(1): 29–47.

    Article  Google Scholar 

  • Xia J, 2002a. A system approach to real time hydrologic forecasts in watersheds. Water International, 27(1): 87–97.

    Article  Google Scholar 

  • Xia J, 2002b. Theory and Method of Nonlinear Hydrologic System. Wuhan: Wuhan University Academic Library. (in Chinese)

    Google Scholar 

  • Xia J, Duan Q, Luo Y et al., 2017. Climate change and water resources: Case study of Eastern Monsoon Region of China. Advances in Climate Change Research, 8: 63–67

    Article  Google Scholar 

  • Xia J, Wang G, Tan G et al., 2005a. Development of distributed time-variant gain model for nonlinear hydrologic systems. Science in China: Series D, 48(6): 713–723.

    Article  Google Scholar 

  • Xia J, Wang G, Ye A et al., 2005b. A distributed monthly water balance model for analyzing impacts of land cover change on flow regimes. Pedosphere, 15(6): 761–767.

    Google Scholar 

  • Xu Z, 2009. Hydrologic Model. Beijing: Science Press. (in Chinese)

    Google Scholar 

  • Yuan F, Xie Z, Liu Q et al., 2004. An application of the VIC-3L land surface model and remote sensing data in simulating stream flow for the Hanjiang River basin. Canadian Journal of Remote Sensing, 30(5): 680–690.

    Article  Google Scholar 

  • Zhan D, Ye S, 2000. Engineering Hydrology. Beijing: China Water & Power Press. (in Chinese)

    Google Scholar 

  • Zhang Q, Liu J, Singh V P et al., 2016. Evaluation of impacts of climate change and human activities on stream flow in the Poyang Lake basin, China. Hydrological Processes, 30(14): 2562–2576.

    Article  Google Scholar 

  • Zhang S, Cordery L, Sharma A, 2002. Application of an improved linear storage routing model for the estimation of large floods. Journal of Hydrology, 258(1): 58–68.

    Article  Google Scholar 

  • Zhang W, Guo S, 2007. The Theory and Method of Rainfall-Runoff. Wuhan: Hubei Science and Technology Press. (in Chinese)

    Google Scholar 

  • Zhao L, Xia J, Xu C et al., 2013. Evapotranspiration estimation methods in hydrological models. Journal of Geographical Sciences, 23(2): 359–369.

    Article  Google Scholar 

  • Zhao R, 1984. Regional Hydrologic Simulation: Xin’anjiang Model and Shanbei Model. Beijing: China Water & Power Press. (in Chinese)

    Google Scholar 

  • Zhao R, Zhuang Y, 1963. Regional pattern of rainfall-runoff relationship. Journal of East China Technical University of Water Resources Engineering, (Suppl.2): 53–68. (in Chinese)

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Correspondence to Changming Liu.

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Foundation: National Natural Science Foundation of China, No.41771044, No.41501046; Water Conservancy Science and Technology Innovation Project of Guangdong Provincial Water Resources Department, No.2014-14, No.2016-14; Natural Science Foundation of Guangdong Province, No.2015A030310234; GDAS’ Project of Science and Technology Development, No.2019GDASYL-0104003, No.2018GDASCX-0101, No.2017 GDASCX-0806; Science and Technology Project of Guangdong Province, No.2018B030324002

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Zhao, L., Liu, C., Sobkowiak, L. et al. A review of underlying surface parameterization methods in hydrologic models. J. Geogr. Sci. 29, 1039–1060 (2019). https://doi.org/10.1007/s11442-019-1643-9

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