Abstract
Calibration is an important step in most hydrological modeling processes because it helps produce reasonable results. This study aims to investigate the seasonal sensitivity of streamflow parameters and to evaluate the ability of a season-based multi-objective approach to calibrate the Soil and Water Assessment Tool (SWAT) model. The primary goal was achieved through an integrated approach. A variance-based global sensitivity technique, Sobol’ method, was used to evaluate the seasonal sensitivity of streamflow parameters. For the multi-objective approach, three objective functions were considered: the Nash–Sutcliffe efficiency, Nash–Sutcliffe efficiency of logarithmic transformed discharge, and relative bias. The model performances of the season-based multi-objective approach MOO(II), based on these functions and flow duration curves during wet and dry seasons, were compared to three other methods: SOO(I), a conventional single-objective approach to the entire series; SOO(II), a season-based single-objective approach; and MOO(I), a multi-objective approach for the entire series. The four methods were assessed using the SWAT model to predict daily discharge in the Jinjiang basin in southeastern China. The results showed that sensitivity of model parameters varied between the wet and dry seasons. The seasonal calibration approaches, MOO(II) and SOO(II), showed significantly better simulation performances during the dry season while the multi-objective approaches produced more accurate simulations of different aspects of the hydrograph, including peak and low flows and overall water balance, compared to the single-objective methods. MOO(II) captured the seasonal variation of hydrological processes best, compared to the other methods, and the parameter values it identified demonstrated significant seasonal variations.
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References
Abbaspour K, Johnson C, Van Genuchten MT (2004) Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure. Vadose Zone J 3(4):1340–1352. https://doi.org/10.2136/vzj2004.1340
Bekele EG, Nicklow JW (2007) Multi-objective automatic calibration of SWAT using NSGA-II. J Hydrol 341(3):165–176. https://doi.org/10.1016/j.jhydrol.2007.05.014
Cibin R, Sudheer K, Chaubey I (2010) Sensitivity and identifiability of stream flow generation parameters of the SWAT model. Hydrol Process 24(9):1133–1148. https://doi.org/10.1002/hyp.7568
Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE T Evolut Comput 6(2):182–197. https://doi.org/10.1109/4235.996017
Duan HF, Li F, Tao T (2016) Multi-objective optimal design of detention tanks in the urban stormwater drainage system: uncertainty and sensitivity analysis. Water Resour Manag 30(7):2213–2226. https://doi.org/10.1007/s11269-016-1282-1
Fu G, Kapelan Z, Reed P (2012) Reducing the complexity of multiobjective water distribution systemoptimization through global sensitivity analysis. J Water Resour Plan Manag 138(3):196–207. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000171
Guo J, Zhou J, Lu J, Zou Q, Zhang H, Bi S (2014) Multi-objective optimization of empirical hydrological model for streamflow prediction. J Hydrol 511:242–253. https://doi.org/10.1016/j.jhydrol.2014.01.047
Gupta HV, Sorooshian S, Yapo PO (1998) Toward improved calibration of hydrologic models: multiple and noncommensurable measures of information. Water Resour Res 34(4):751–763. https://doi.org/10.1029/97WR03495
Guse B, Reusser DE, Fohrer N (2014) How to improve the representation of hydrological processes in SWAT for a lowland catchment–temporal analysis of parameter sensitivity and model performance. Hydrol Process 28(4):2651–2670. https://doi.org/10.1002/hyp.9777
Hua MS (1993) Characteristics of natural disaster and its back ground analysis in Fujian Province. J Catastrophology 8(3):50–54 (in Chinese)
Huang ZG, Li FR, Cao Y, Wang ZJ, OuYang ZY, Zheng H, Li XQ, Tian YX (2007) Dynamics of soil water under Eucommia ulmodes plantation in hilly red soil region of southern China. Chin J Appl Ecol 18(9):1937–1944 (in Chinese)
Iman RL, Conover W (1980) Small sample sensitivity analysis techniques for computer models. with an application to risk assessment. Communications in Statistics-theory and Methods 9(17):1749–1842. https://doi.org/10.1080/03610928008827996
Jiang DS (1997) Soil erosion and control modes in the loess plateau. China Water &Power Press, Beijing (in Chinese)
Kannan N, White S, Worrall F, Whelan M (2007) Sensitivity analysis and identification of the best evapotranspiration and runoff options for hydrological modelling in SWAT-2000. J Hydrol 332(3):456–466. https://doi.org/10.1016/j.jhydrol.2006.08.001
Kim HS (2016) Potential improvement of the parameter identifiability in ungauged catchments. Water Resour Manag 30(9):3207–3228. https://doi.org/10.1007/s11269-016-1341-7
Kim HS, Lee S (2014) Assessment of a seasonal calibration technique using multiple objectives in rainfall–runoff analysis. Hydrol Process 28(4):2159–2173. https://doi.org/10.1002/hyp.9785
Kundu S, Khare D, Mondal A (2017) Individual and combined impacts of future climate and land use changes on the water balance. Ecol Eng 105:42–57. https://doi.org/10.1016/j.ecoleng.2017.04.061
Lenhart T, Eckhardt K, Fohrer N, Frede H-G (2002) Comparison of two different approaches of sensitivity analysis. Phys Chem Earth A B C 27(9):645–654. https://doi.org/10.1016/S1474-7065(02)00049-9
Levesque E, Anctil F, Van Griensven A, Beauchamp N (2008) Evaluation of streamflow simulation by SWAT model for two small watersheds under snowmelt and rainfall. Hydrol Sci J 53(5):961–976. https://doi.org/10.1623/hysj.53.5.961
Lu SJ (1996) The climate of Fujian province. China Meteorological press, Beijing (in Chinese)
Madsen H (2000) Automatic calibration of a conceptual rainfall–runoff model using multiple objectives. J Hydrol 235(3):276–288. https://doi.org/10.1016/S0022-1694(00)00279-1
Moriasi D, Arnold J, Van Liew M, Bingner R, Harmel R, Veith T (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. T ASABE 50(3):885–900. 10.13031/2013.23153
Muleta MK (2012) Improving model performance using season-based evaluation. J Hydrol Eng 17(1):191–200. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000421
Nash J, Sutcliffe JV (1970) River flow forecasting through conceptual models part I—A discussion of principles. J Hydrol 10(3):282–290. https://doi.org/10.1016/0022-1694(70)90255-6
Neitsch SL, Arnold JG, Kiniry JR, Williams JR (2009) Soil and water AssessmentTool theoretical documentation version 2009. USDA-ARS, Texas
Paik K, Kim JH, Kim HS, Lee DR (2005) A conceptual rainfall-runoff model considering seasonal variation. Hydrol Process 19(19):3837–3850. https://doi.org/10.1002/hyp.5984
Pfannerstill M, Guse B, Fohrer N (2014) A multi-storage groundwater concept for the SWAT model to emphasize nonlinear groundwater dynamics in lowland catchments. Hydrol Process 28(22):5599–5612. https://doi.org/10.1002/hyp.10062
Reed PM, Hadka D, Herman JD, Kasprzyk JR, Kollat JB (2013) Evolutionary multiobjective optimization in water resources: the past, present, and future. Adv Water Resour 51:438–456. https://doi.org/10.1016/j.advwatres.2012.01.005
Reusser DE, Zehe E (2011) Inferring model structural deficits by analyzing temporal dynamics of model performance and parameter sensitivity. Water Resour Res 47(7):W07550. https://doi.org/10.1029/2010WR009946
Saltelli A (2002) Making best use of model evaluations to compute sensitivity indices. Comput Phys Commun 145(2):280–297. https://doi.org/10.1016/S0010-4655(02)00280-1
Shen Z, Chen L, Chen T (2012) Analysis of parameter uncertainty in hydrological and sediment modeling using GLUE method: a case study of SWAT model applied to three gorges reservoir region, China. Hydro Earth Syst Sc 16(1):121–132. https://doi.org/10.5194/hess-16-121-2012
Singer MJ, Blackard J (1982) Slope angle-interrill soil loss relationships for slopes up to 50%. Soil Sci Soc Am J 46(6):1270–1273. https://doi.org/10.2136/sssaj1982.03615995004600060030x
Sobol’ IM (1993) Sensitivity estimates for nonlinear mathematical models. Math Model Comput Exp 1:404–414
Tang Y, Reed P, Wagener T (2006) How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration? Hydrol Earth Syst Sci Discuss 10(2):289–307. https://doi.org/10.5194/hess-10-289-2006
van Werkhoven K, Wagener T, Reed P, Tang Y (2008) Rainfall characteristics define the value of streamflow observations for distributed watershed model identification. Geophys Res Lett 35(11):L11403. doi: 11410.11029/12008GL0341612
van Werkhoven K, Wagener T, Reed P, Yong Tang (2009) Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models. Adv Water Resour 32(8):1154–1169
Vrugt JA, Gupta HV, Bastidas LA, Bouten W, Sorooshian S (2003) Effective and efficient algorithm for multiobjective optimization of hydrologic models. Water Resour Res 39(8):1214. https://doi.org/10.1029/2002WR001746
Wagener T, McIntyre N, Lees M, Wheater H, Gupta H (2003) Towards reduced uncertainty in conceptual rainfall-runoff modelling: dynamic identifiability analysis. Hydrol Process 17(2):455–476. https://doi.org/10.1002/hyp.1135
White E, Feyereisen G, Veith T, Bosch D (2009) Improving daily water yield estimates in the Little River watershed: SWAT adjustments. T ASABE 52(1):69–79. 10.13031/2013.25948
Zhang DJ, Chen XW, Yao HX, Lin BQ (2015a) Improved calibration scheme of SWAT by separating wet and dry seasons. Ecol Model 301:54–61. https://doi.org/10.1016/j.ecolmodel.2015.01.018
Zhang L, Nan Z, Yu W, Ge YC (2015b) Modeling land-use and land-cover change and hydrological responses under consistent climate change scenarios in the Heihe River Basin, China. Water Resour Manag 29(13):4701–4717. https://doi.org/10.1007/s11269-015-1085-9
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This study was financially supported by the National Natural Science Foundation of China (No. 41301031) and the Key Programs of Agricultural Science and Technology of Fujian Province (No. 2013N0013).
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Chen, Y., Chen, X., Xu, CY. et al. Toward Improved Calibration of SWAT Using Season-Based Multi-Objective Optimization: a Case Study in the Jinjiang Basin in Southeastern China. Water Resour Manage 32, 1193–1207 (2018). https://doi.org/10.1007/s11269-017-1862-8
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DOI: https://doi.org/10.1007/s11269-017-1862-8