Abstract
To study the application of the TOPMODEL and the Xin’anjiang model to rainfall runoff simulation in semi-humid regions, the Holtan excess infiltration runoff module was added to the TOPMODEL structure. The basin of the Heihe Jinpen Reservoir in Shaanxi Province, China, was selected as the study area. Rainfall and runoff data and digital elevation models were collected. The watershed topographic parameters and 21 floods that occurred from 2005 to 2013 were obtained to simulate rainfall runoff. Results show that the improved TOPMODEL and the Xin’anjiang model can effectively stimulate rainfall runoff. The average values of their Nash coefficient are 0.84 and 0.83, respectively, upon calibration, and 0.78 and 0.80, respectively, upon validation. The Xin’anjiang model performs slightly better than the improved TOPMODEL. The results of large flood peaks are better than those of ordinary floods. Both results can be used to simulate the rainfall runoff of a watershed.
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References
Abbott MB, Bathurs JC, Cunge JA, O’Connell PE, Rasmussen J (1986a) An introduction to the European Hydrological System–Systeme Hydrologique Europeen, “SHE”, 1: history and philosophy of a physically-based distributed modeling system. J Hydrol 87(1):45–59
Abbott MB, Bathurst JC, Cunge JA, O’Connell PE, Rasmussen J (1986b) An introduction to the European hydrological system–systeme hydrologique Europeen, “SHE”, 2: structure of a physically-based distributed modeling system. J Hydrol 87(1):61–77
Amold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment part I: model development. J Am Water Resour As 34(1):73–89
Bennett TH, Peters JC (2000) Continuous soil moisture accounting in the hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS). Joint Conference on Water Resource Engineering and Water Resources Planning and Management, pp 1–10
Bera M, Borah DK (2003) Watershed-scale hydrologic and nonpoint-source pollution models: review of mathematical bases. Trans ASAE 46(6):1553–1566
Beven KJ, Kirkby MJ (1979) A physically based variable contributing area model of basin hydrology. Hydrolog Sci J 24(1):43–69
Beven KJ, Calver A, Morris EM (1987). The institute of hydrology distributed model. Institute of Hydrology Report no. 98, Wallingford, UK
Burnash RJC (1995) The NWS river forecast system-catchment modeling. In: Singh VP (ed) Computer models of watershed hydrology. Water Resources Publications, Highlands Ranch, pp 443–476
Crawford NH, Linsley RE (1966) Digital simulation in hydrology: stanford watershed model VI. Technical Report no. 39, Department of Civil Engineering, Stanford University, California
Deng P, Li ZJ, Liu ZY (2008) Numerical algorithm of distributed TOPKAPI model and its application. Water Sci. Eng. 1(4):14–21
Ducharne A (2009) Reducing scale dependence in TOPMODEL using a dimensionless topographic index. Hydrol Earth Syst Sc 13(12):2399–2412
Feldman AD (2000) Hydrologic modeling system-HEC-HMS-technical reference manual. US Army Corps of Engineers, Davis
Griensven AV, Meixner T, Grunwald S, Bishop T, Diluzio M, Srinivasan R (2006) A global sensitivity analysis tool for the parameters of multi-variable catchment model. J Hydrol 324(1):10–23
Guan ZC, Zhu YS, Duan YS, Zeng ZP, Jin DZ, Wu Z (2001) Application of tank model in the humid area and semi-humid area of the north. Hydrology 21(4):25–29 (in Chinese)
Hao GR (2013) Analysis of forecast model influencing factors in Heihe river Jinpen reservoir basin. Master Degree, Xi’an University of Technology (in Chinese)
Huang PN, Li ZJ, Chen J, Li QL, Yao C (2016) Event-based hydrological modeling for detecting dominant hydrological process and suitable model strategy for semi-arid catchments. J Hydrol 542:292–303
Lenhart L, Eckhardt K, Fohrer N, Frede HG (2002) Comparison of two different approaches of sensitivity analysis. Phys Chem Earth 27(9):645–654
Li ZJ, Zhang K, Yao C (2006) Comparison of distributed geological models based on GIS technology and DEM. J Hydraul Eng 37(8):1022–1028 (in Chinese)
Li ZJ, Shen J, Zhang PC, Li J, Yao C, Guo Y (2013) Application of physically distributed water-sand model CASC2D-SED. J Hohai Univ. (Natural Sciences) 41(2):95–101 (in Chinese)
Mccuen RH (1982) A guide to hydrologic analysis using SCS methods. Prentice-Hall, Englewood
Metcalfe P, Beven K, Freer J (2015) Dynamic TOPMODEL: a new implementation in R and its sensitivity to time and space steps. Environ Model Softw 72:155–172
Ponce VM, Hawkins RH (1996) Runoff curve number: has it reached maturity? J Hydrol Eng 1(1):11–19
Qi W, Zhang C, Chu JG, Zhou HC (2014) Sensitivity analysis of TOPMODEL hydrological model parameters based on Sobol’ method. J China Hydrol 32(2):49–54 (in Chinese)
Scharffenberg WA, Fleming MJ, Feldman AD (2003) The hydrologic modeling system (HEC-HMS): toward a complete framework for hydrologic engineering. World Water Environ Resour Congress 530:1–8
Sivapalan MK, Takeuchi SW, Franks SW, Gupta VK, Karambiri H, Lakshmi V, Liang X, Mcdonnell JJ, Mendiondo EM, O’connell PE, Oki T, Pomeroy JW, Schertzer D, Uhlenbrook S, Zehe E (2003) IAHS decade of prediction in ungauged basins (PUB), 2003-2012: shaping an exciting future for the hydrological sciences. Hydrolog Sci J 48(6):857–879
Sobol’ IM (2001) Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates. Math Comput Simul 55(1):271–280
Song XY, Guan HM, Su ZC, Wang C (2005) Application and research on the Model of Flood forecasting for the semi-humid area. Hydrology 25(2):24–28 (in Chinese)
Xu ZX (2009) Hydrological Models. Science Press, Beijing (in Chinese)
Yang D (1998) Distributed hydrological model using hillslope discretization based on catchment area function development and applications. Thesis for Degree of Doctor of Engineering, University of Tokyo
Yang D, Herath S, Musiake K (2010) Development of a geomorphology-based hydrological model for large catchments. Annu Doboku Gakkai Ronbunshuu B 42:169–174
Yao C, Li ZJ, Yu ZB, Zhang K (2012) A priori parameter estimates for a distributed, grid-based Xinanjiang model using geographically based information. J Hydrol 468–469:47–62
Yao C, Zhang K, Yu ZB, Li ZJ, Li QL (2014) Improving the flood prediction capability of the Xinanjiang model in ungauged nested catchments by coupling it with the geomorphologic instantaneous unit hydrograph. J Hydrol 517:1035–1048
Yue LL, Li ZJ, Jia J (2016) Application of time-varying liner confluence model in sub-humid area and semiarid area. Water Resour Power 34(12):46–48 (in Chinese)
Zhang J, Guo SL, Li CQ, Ling KR (2007a) Comparative study on conceptual hydrological models. Eng J Wuhan Univ 40(2):1–6 (in Chinese)
Zhang WM, Doog ZC, Qian W, Zhu CT (2007b) A Modified TOPMODEL and its application to flood simulation in river Basin. Water Resour Power 25(5):18–22 (in Chinese)
Zhao RJ (1984) Hydrological simulation of watershed—Xin’anjiang model and Shanbei model. Water Resource and Electric Press, Beijing (in Chinese)
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This research was financially supported by the Natural Science Foundation of Shaanxi Province (2015JZ013) and the National Natural Science Foundation of China (51479262).
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Hao, G., Li, J., Song, L. et al. Comparison between the TOPMODEL and the Xin’anjiang model and their application to rainfall runoff simulation in semi-humid regions. Environ Earth Sci 77, 279 (2018). https://doi.org/10.1007/s12665-018-7477-4
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DOI: https://doi.org/10.1007/s12665-018-7477-4