Abstract
Automatic calibration is preferred because it provides an objective and extensive searching in the feasible parameter space. In this study, the Modified Shuffled Complex Evolution (MSCE) optimization algorithm is applied to automatically calibrate the physically-based spatially-distributed hydrological model SHETRAN in the 705-km2 semi-arid Cobres basin in southern Portugal, with a spatial resolution of 2 km and a temporal resolution of 1 h. Twenty-two parameters are calibrated for the main types of land-use and soil. Nash-Sutcliffe Efficiency (NSE) is 0.86 for calibration and 0.74 for validation for basin outlet; NSE is respectively 0.65 and 0.82 for calibration, 0.69 and 0.63 for validation of internal gauging stations Albernoa and Entradas. As for storm events, NSE is 0.87 and 0.64 respectively for Storms No.1 (during the calibration period) and No.4 (during the validation period) at basin outlet; it is 0.69 and 0.65 for Storm No.4 respectively at Albernoa and Entradas. The results are satisfactory not only for basin outlet but also for internal gauging stations.
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Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: Guidelines for computing crop water requirements, FAO irrigation and drainage paper 56. Rome, Italy
Bathurst JC (1986) Sensitivity analysis of the Systeme Hydrologique Europeen for an upland catchment. J Hydrol 87:103–123
Bathurst JC, Kilsby C, White S (1996) Modelling the impacts of climate and land-use change on basin hydrology and soil erosion in Mediterranean Europe. In: Brandt CJ, Thornes JB (eds) Mediterranean desertification and land use. John Wiley & Sons Ltd, Chichester, pp 355–387
Bathurst JC, Sheffield J, Vicente C, White SM, Romano N (2002) Modelling large basin hydrology and sediment yield with sparse data: the Agri basin, southern Italy. In: Geeson NA, Brandt CJ, Thornes JB (eds) Mediterranean desertification: a mosaic of processes and responses. John Wiley & Sons Ltd, Chichester, pp 397–415
Bathurst JC, Ewen J, Parkin G, O’Connell PE, Cooper JD (2004) Validation of catchment models for predicting land-use and climate change impacts. 3. Blind validation for internal and outlet responses. J Hydrol 287:74–94
Bathurst JC, Birkinshaw SJ, Cisneros F, Fallas J, Iroumé A, Iturraspe R, Novillo MG, Urciuolo A, Alvarado A, Coello C, Huber A, Miranda M, Ramirez M, Sarandón R (2011) Forest impact on floods due to extreme rainfall and snowmelt in four Latin American environments 2: model analysis. J Hydrol 400:292–304
Bekele EG, Knapp HV (2010) Watershed modeling to assessing impacts of potential climate change on water supply availability. Water Resour Manag 24:3299–3320
Bekele EG, Nicklow JW (2007) Multi-objective automatic calibration of SWAT using NSGA-II. J Hydrol 341:165–176
Beven K, Warren R, Zaoui J (1980) SHE: towards a methodology for physically-based distributed forecasting in hydrology. IAHS-AISH Publ 129:133–137
Birkinshaw SJ, James P, Ewen J (2010) Graphical user interface for rapid set-up of SHETRAN physically-based river catchment model. Environ Model Softw 25:609–610
Birkinshaw SJ, Bathurst JC, Iroumé A, Palacios H (2011) The effect of forest cover on peak flow and sediment discharge ─ an integrated field and modelling study in central-southern Chile. Hydrol Process 25(8):1284–1297
Blasone RS, Madsen H, Rosbjerg D (2007) Parameter estimation in distributed hydrological modelling: comparison of global and local optimisation techniques. Nord Hydrol 38(4–5):451–476
Bovolo CI, Abele SJ, Bathurst JC, Caballero D, Ciglan M, Eftichidis G, Simo B (2009) A distributed framework for multi-risk assessment of natural hazards used to model the effects of forest fire on hydrology and sediment yield. Comput Geosci 35:924–945
Caetano M, Nunes V, Nunes A (2009) CORINE land cover 2006 for continental Portugal. Instituto Geográfico Português. Technical Report
Cardoso C (1965) Solos de Portugal: sua classificação, caracterização e génese 1 – a sul do rio tejo. Lisbon, Portugal
Chow VT (1959) Open-channel hydraulics. International Student Edition, McGraw-Hill
Duan Q, Sorooshian S, Gupta V (1992) Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resour Res 28(4):1015–1031
Eckhardt K, Arnold JG (2001) Automatic calibration of a distributed catchment model. J Hydrol 251:103–109
Engman ET (1986) Roughness coefficients for routing surface runoff. Proc Am Soc Civ Eng, J Irrig Drain Eng 112:39–53
Ewen J, Parkin G (1996) Validation of catchment models for predicting land-use and climate change impacts. 1. Method. J Hydrol 175:583–594
Ewen J, Parkin G, O’Connell PE (2000) SHETRAN: distributed river basin flow and transport modeling system. J Hydrol Eng 5:250–258
Madsen H (2000) Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. J Hydrol 235:276–288
Madsen H (2003) Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives. Adv Water Resour 26:205–216
Mourato S (2010) Modelação do impacte das alterações climáticas e do uso do solo nas bacias hidrográficas do Alentejo. PhD dissertation. University of Évora, Portugal
Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I - a discussion of principles. J Hydrol 10:282–290
Nelder JA, Mead R (1965) A simplex method for function minimization. Comput J 7:308–313
Parkin G, O’Donnell G, Ewen J, Bathurst JC, O’Connell PE, Lavabre J (1996) Validation of catchment models for predicting land-use and climate change impacts. 2. Case study for a Mediterranean catchment. J Hydrol 175:595–613
Pires RO, Reis JL, Santos FL, Castanheira NL (2007) Polyacrylamide application in center pivot irrigation systems for erosion and runoff control. Rev Ciências Agrárias 30(1):172–178
Ramos C, Reis E (2001) As cheias no sul de Portugal em diferentes tipos de bacias hidrográficas. Finisterra XXXVI 71:61–82
Ramos AF, Santos FL (2009) Water use, transpiration, and crop coefficients for olives (cv. Cordovil), grown in orchards in southern Portugal. Biosyst Eng 102:321–333
Refsgaard JC (1997) Parameterisation, calibration and validation of distributed hydrological models. J Hydrol 198:69–97
Rodgers JL, Nicewander WA (1988) Thirteen ways to look at the correlation coefficient. Am Stat 42:59–66
Santos CAG, Srinivasan VS, Suzuki K, Watanabe M (2003) Application of an optimization technique to a physically based erosion model. Hydrol Process 17(5):989–1003
Santos CAG, Freire PKMM, Silva RM, Arruda PM, Mishra SK (2011) Influence of the catchment discretization on the optimization of runoff-erosion modelling. J Urban Environ Eng 5(2):91–102
Santos CAG, Freire PKMM, Arruda PM (2012) Application of a simulated annealing optimization to a physically based erosion model. Water Sci Technol 66(10):2099–2108
Saxton KE, Rawls WJ (2006) Soil water characteristic estimates by texture and organic matter for hydrologic solutions. Soil Sci Soc Am J 70:1569–1578
Shi P, Ma X, Hou Y, Li Q, Zhang Z, Qu S, Chen C, Cai T, Fang X (2013) Effects of land-use and climate change on hydrological processes in the upstream of Huai river, China. Water Resour Manag 27:1263–1278
Silva LL (2006) The effect of spray head sprinklers with different deflector plates on irrigation uniformity, runoff and sediment yield in a Mediterranean soil. Agric Water Manag 85(3):243–252
Silva RM, Montenegro SMGL, Santos CAG (2012) Integration of GIS and remote sensing for estimation of soil loss and prioritization of critical sub-catchments: a case study of Tapacurá catchment. Nat Hazard 62(3):953–970
van Genuchten MT, Leij FJ, Yates SR (1991) The RETC code for quantifying the hydraulic functions of unsaturated soils, report no: EPA/600/2-91/065. Robert S. Kerr Environmental Research Laboratory, U.S. Environmental Protection Agency, Ada
Willmott CJ (1981) On the validation of models. Phys Geogr 2:184–194
Acknowledgments
This study was made possible by a PhD grant of Portuguese Foundation for Science and Technology (SFRH/BD/48820/2008). The authors are grateful for the support from the ERLAND (PTDC/AAC-AMB/100520/2008) and CISA (MCT/CT-Hidro, Brazil) projects. The authors thank SNIRH and SAGRA/COTR for providing the necessary data, and the following for the great assistance and helpful discussion during the preparation of this paper: Prof. Kilsby, Dr. Bathurst, Dr. Birkinshaw, Dr. O’Donnell and Dr. Bovolo at Newcastle University, UK; Prof. Santos, Prof. Sampaio, Prof. Serralheiro, Prof. Shahidian, Dr. Lima, Dr. Toureiro at University of Évora and Dr. Nunes at University of Aveiro, Portugal. Finally, two anonymous reviewers are thanked for their comments, which allowed a significant improvement of the paper.
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Zhang, R., Santos, C.A.G., Moreira, M. et al. Automatic Calibration of the SHETRAN Hydrological Modelling System Using MSCE. Water Resour Manage 27, 4053–4068 (2013). https://doi.org/10.1007/s11269-013-0395-z
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DOI: https://doi.org/10.1007/s11269-013-0395-z