Multi-objective automatic calibration of SWAT using NSGA-II

Journal of Hydrology

Volumn 341, Issue 3-4, 2007, Pages 165-176

  Bekele, Elias G ^a   Nicklow, John W ^a  

^a SOUTHERN ILLINOIS UNIVERSITY   (United States)

Author keywords

Automatic calibration; Distributed hydrologic models; Multi objective evolutionary algorithms; Multiple calibration objectives

Indexed keywords

COMPUTER SIMULATION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; SEDIMENTS;

AUTOMATIC CALIBRATION; DISTRIBUTED HYDROLOGIC MODELS; MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS; MULTIPLE CALIBRATION OBJECTIVES;

WATERSHEDS;

COMPUTER SIMULATION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; SEDIMENTS; WATERSHEDS;

ASSESSMENT METHOD; AUTOMATION; CALIBRATION; HYDROLOGICAL MODELING; MULTIOBJECTIVE PROGRAMMING; PARAMETERIZATION; SOIL SURVEY;

EID: 34447102221     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2007.05.014     Document Type: Article

References (33)

1. Ajami N.K., Gupta H., Wagener T., and Sorooshian S. Calibration of a semi-distributed hydrologic model for streamflow estimation along a river system. Journal of Hydrology 298 (2004) 112-135
2. Atiquzzaman M., Liong S.-Y., and Yu X. Alternative decision making in water distribution network with NSGA-II. Journal of Water Resources Planning and Management 132 2 (2006) 122-126
3. Beven K.J. Distributed models. In: Anderson M.J., and Burt T.P. (Eds). Hydrologic Forecasting (1985), Wiley, New York 405-435
4. Deb K. Multi-objective Optimization Using Evolutionary Algorithms (2001), Wiley, Chichester, UK
5. Deb K., and Agrawal R.B. Simulated binary crossover for continuous search space. Complex Systems 9 (1995) 115-148
6. Deb K., and Beyer H. Self-adaptive genetic algorithms with simulated binary crossover. Evolutionary Computation Journal 2 (2001) 197-221
7. Deb K., Pratap A., Agarwal S., and Meyarivan T. A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6 2 (2002) 182-197
8. Demissie, M., Soong, T., Allgire, R., Keefer, L., Makowski, P., 1990. Cache River Basin: Hydrology, Hydraulics and Sediment Transport, Vol. 1: Background, Data Collection, and Analysis. Contract Report 484, Illinois State Water Survey, Champaign, IL.
9. Demissie, M., Knapp, V.H., Parmer, P., Kriesant, D.J., 2001. Hydrology of the Big Creek Watershed and its Influence on the Lower Cache River. Contract Report 2001-06, Illinois State Water Survey, Champaign, IL.
10. Dorn J.L., and Ranjithan S. Evolutionary multiobjective optimization in watershed water quality management. In: Fonseca, et al. (Ed). Evolutionary Multi-Criteria Optimization. Lecture Notes in Computer Science (LNCS) vol. 2632 (2003), Springer, Berlin 692-706
11. Duan Q., Sorooshian S., and Gupta V. Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resources and Research 28 4 (1992) 1015-1031
12. Eckhardt K., and Arnold J.G. Automatic calibration of distributed catchment model. Journal of Hydrology 251 (2001) 103-109
13. FitzHugh T.W., and Mackay D.S. Impacts of input parameter spatial aggregation on an agricultural non-point source pollution model. Journal of Hydrology 236 (2000) 35-53
14. Gupta H.V., Sorooshian S., and Yapo P.O. Toward improved calibration of hydrologic models: multiple and noncommensurable measures of information. Water Resources and Research 34 4 (1998) 751-763
15. Gupta H.V., Sorooshian S., and Yapo P.O. Status of automatic calibration for hydrologic models: comparison with multilevel expert calibration. Journal of Hydrologic Engineering 4 2 (1999) 135-143
16. Iman R.L., and Conover W.J. Small sample sensitivity analysis techniques for computer models, with an application to risk assessment. Communications in Statistics: Theory and Methods A 9 (1980) 1749-1874
17. Kuczera G. Efficient subspace probabilistic parameter optimization for catchment models. Water Resources and Research 33 1 (1997) 177-185
18. Luce C.H., and Cundy T.W. Parameter identification for a runoff model for forest roads. Water Resources and Research 30 4 (1994) 1057-1069
19. Madsen H. Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. Journal of Hydrology 235 (2000) 276-288
20. Madsen, H., Jacobsen, T., 2001. Automatic calibration of the MIKE SHE integrated hydrological modeling system. Proceedings of the 4th DHI Software Conf., Elsinore, Denmark, June 6-8.
21. Muleta M.K., and Nicklow J.W. Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model. Journal of Hydrology 306 (2005) 127-145
22. Nash J.E., and Sutcliffe J.V. River flow forecasting through conceptual models part I - A discussion of principles. Journal of Hydrology 10 3 (1970) 282-290
23. Neitsch, S.L., Arnold, J.G., Kiniry, J.R., Williams, J.R., 2001. Soil and Water Assessment Tool Theoretical Documentation, Version 2000. Grassland, Soil and Water Research Service, Temple, TX.
24. Reed P.M., and Minsker B.S. Striking the balance: long-term groundwater monitoring design for conflicting objectives. Journal of Water Resources, Planning and Management 130 2 (2004) 140-149
25. Refsgaard J.C. Parameterization, calibration and validation of distributed hydrologic models. Journal of Hydrology 198 (1997) 69-97
26. Santhi C., Arnold J.G., Williams J.R., Srinivasan R., and Hauck L.M. Validation of the SWAT model on a large river basin with point and non point sources. Journal of the American Water Resources Association 37 5 (2001) 1169-1188
27. Sargent, R.G., 1991. Simulation model verification and validation. In: Proceedings of the 1991 Winter Simulation Conference, December 8-1, Phoenix, AZ.
28. Schwefel H.-P. Evolution and Optimum Seeking (1995), Wiley, New York
29. Singh, A., Minsker, B.S., Goldberg, D.E., 2004. Combining reliability and Pareto optimality - an approach using stochastic multi-objective genetic algorithm. In: Proceedings of the 2004 World Congress on Water and Environmental Resources, ASCE, June 27 - July 1, Salt Lake City, UT.
30. Sorooshian S., and Gupta V.K. Model calibration. In: Singh V.P. (Ed). Computer Models of Watershed Hydrology (1995), Water Resources Publication, Highlands Ranch, CO
31. Srinivas N., and Deb K. Multiple objective optimizations using non-dominated sorting in genetic algorithms. Evolutionary Computation 2 2 (1994) 221-248
32. Veldhuizen D.A.V., and Lamont G.B. Multiobjective evolutionary algorithms: analyzing the state-of-the-art. Evolutionary Computation 8 2 (2000) 125-147
33. Zitzler E., Thiele L., and Deb K. Comparison of multiobjective evolutionary algorithms: empirical results. Evolutionary Computation 8 2 (2000) 173-196