Application of a simulated annealing optimization to a physically based erosion model

Water Science and Technology

Volumn 66, Issue 10, 2012, Pages 2099-2108

  Santos, C A G ^a   Freire, P K M M ^a   Arruda, P M ^a  

^a FEDERAL UNIVERSITY OF PARAÍBA   (Brazil)

Author keywords

Runoff erosion model; Semiarid region; WESP

Indexed keywords

CHANNEL EROSION; EROSION MODELS; EXPERIMENTAL BASIN; FIELD DATA; GLOBAL OPTIMIZATION METHOD; HYDROGRAPHS; INITIAL ESTIMATE; INITIAL MOISTURE CONTENT; NORTHEASTERN BRAZIL; OPTIMIZATION PROBLEMS; PHYSICALLY-BASED EROSION MODEL; ROBUST OPTIMIZATION; SEMI-ARID REGION; SIMULATED ANNEALING OPTIMIZATION; WATERSHED EROSION SIMULATION PROGRAMS; WESP;

ARID REGIONS; GLOBAL OPTIMIZATION; SIMULATED ANNEALING; SOIL MOISTURE;

EROSION;

RAIN;

CALIBRATION; HYDROGRAPH; MOISTURE CONTENT; OPTIMIZATION; RAINFALL-RUNOFF MODELING; SEMIARID REGION; SOIL MOISTURE; TENSION;

BRAZIL; ENVIRONMENTAL EROSION; HYDROGRAPHY; REVIEW; SOIL MOISTURE; WATERSHED MANAGEMENT;

COMPUTER SIMULATION; CONSERVATION OF NATURAL RESOURCES; ENVIRONMENT; ENVIRONMENTAL MONITORING; GEOLOGIC SEDIMENTS; MODELS, THEORETICAL; RAIN;

EID: 84870364959     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2012.426     Document Type: Review

References (28)

1. Corana, A., Marchesi, M., Martini, C. & Ridella, S. 1987 Minimizing multimodal functions of continuous variables with the 'Simulated Annealing' algorithm. ACM Trans. Math. Software 13 (3), 262-280.
2. Croley II., T. E. 1982 Unsteady overland sedimentation. J. Hydrol. 56, 325-346.
3. Cutore, P., Campisano, A., Kapelan, Z., Modica, C. & Savic, D. 2008 Probabilistic prediction of urban water consumption using the SCEM-UA algorithm. Urban Water J. 5 (2), 125-132.
4. Davis, S. S. 1978 Deposition of nonuniform sediment by overland flow on concave slopes. MSc Thesis, Purdue University, West Lafayette, Indiana, USA.
5. Einstein, H. A. 1968 Deposition of suspended particles in a gravel bed. J. Hydraul. Div. ASCE 94 (HY5), 1197-1205.
6. Foster, G. R. 1982 Modeling the erosion process. In: Hydrologic Modeling of Small Watersheds (C. T. Haan, H. P. Johnson & D. L. Brakensiek, ed.). pp. 295-380. Am. Soc. Agr. Eng.
7. Freni, G., Mannina, G. & Viviani, G. 2008 Uncertainty in urban stormwater quality modelling: the effect of acceptability threshold in the GLUE methodology. Water Res. 42 (8-9), 2061-2072.
8. Goffe, W. L., Ferrier, G. D. & Rogers, J. 1994 Global optimization of statistical functions with simulated annealing. J. Econometrics 60 (1-2), 65-99.
9. Green, W. H. & Ampt, G. A. 1911 Studies on soil physics. J. Agr. Sci. 4 (1), 1-24.
10. Hofmanna, T., Darsowa, A. & Schafmeisterb, M. -T. 2010 Importance of the nugget effect in variography on modelling zinc leaching from a contaminated site using simulated annealing. J. Hydrol. 389 (1-2), 78-89.
11. Kavetski, D., Kuczera, G. & Franks, S. W. 2006 Calibration of conceptual hydrological models revisited: 1. Overcoming numerical artefacts. J. Hydrol. 320 (1-2), 173-186.
12. Kirkpatrick, S., Gelatt, C. D. & Vecchi, M. P. 1983 Optimization by simulated annealing. Science 220 (4598), 671-680.
13. Lane, L. J. & Shirley, E. D. 1985 Erosion and sediment yield equations: solutions for overland flow. In: Workshop on USLE Replacement. Nat. Soil Erosion Lab., West Lafayette, Indiana, USA.
14. Lin, Y. C. & Yeh, H. D. 2008 Identifying groundwater pumping source information using simulated annealing. Hydrol. Process. 22 (16), 3010-3019.
15. Lopes, V. L. & Lane, L. J. 1988 Modelling sedimentation processes in small watersheds. In: Sediment Budgets (M. P. Bordas & D. E. Walling, ed.). IAHS Publ. 174. IAHS Press, Wallingford, UK, pp. 497-508.
16. Lv, P., Yuan, L. & Zhang, J. 2009 Cloud theory-based simulated annealing algorithm and application. Engng. Appl. Artificial Intell. 22 (4-5), 742-749.
17. Mehta, A. J. 1983 Characterization tests for cohesive sediments. In: Proc. Conf. Frontiers in Hydraul. Engng. (H. T. Shen, ed.). ASCE/MIT, Cambridge, MA, USA, 79-84.
18. Nearing, M. A., Govers, G. & Norton, L. D. 1999 Variability in soil erosion data from replicated plots. Soil Sci. Soc. Am. J. 63, 1829-1835.
19. Santos, C. A. G., Suzuki, K., Watanabe, M. & Srinivasan, V. S. 1994 Optimization of coefficients in runoff-erosion modeling by Standardized Powell method. J. Hydrosci. Hydraul. Engng. 12 (1), 67-78. Japan. Soc. Civ. Engrs.
20. Santos, C. A. G., Srinivasan, V. S., Suzuki, K. & Watanabe, M. 2003 Application of an optimization technique to a physically based erosion model. Hydrol. Process. 17 (5), 989-1003.
21. Santos, C. A. G., Pinto, L. E. M., Freire, P. K. M. M. & Mishra, S. K. 2010 Application of a particle swarm optimization to a physically-based erosion model. Land Reclamation 42, 39-49.
22. Santos, C. A. G., Freire, P. K. M. M., Mishra, S. K. & Soares Júnior, A. 2011a Application of a particle swarm optimization to the tank model. IAHS Publ. 347, 114-120. IAHS Press, Wallingford, UK.
23. Santos, C. A. G., Freire, P. K. M. M., Silva, R. M., Arruda, P. M. & Mishra, S. K. 2011b Influence of the catchment discretization on the optimization of runoff-erosion modelling. J. Urban Environ. Engng. 5 (2), 91-102.
24. Soares Jr, A., Santos, C. A. G., Motta, G. H. M. B., Barbosa, F. A. R. & Freire, P. K. M. M. 2010 Application of an XMLbased genetic algorithm in to a rainfall-runoff erosion model. IAHS Publ. 337, 366-374. IAHS Press, Wallingford, UK.
25. Srinivasan, V. S. & Paiva, F. M. L. 2009 Regional validity of the parameters of a distributed runoff-erosion model in the semiarid region of Brazil. Sci. China Series E: Technol. Sci. 52 (11), 3348-3356.
26. Sumner, N. R., Fleming, P. M. & Bates, B. C. 1997 Calibration of a modified SFB model for twenty-five Australian catchments using simulated annealing. J. Hydrol. 197 (1-4), 166-188.
27. Vasan, A. & Raju, K. S. 2009 Comparative analysis of simulated annealing, simulated quenching and genetic algorithms for optimal reservoir operation. Appl. Soft Comput. 9 (1), 274-281.
28. Woolhiser, D. A. & Liggett, J. A. 1967 Unsteady, one-dimensional flow over a plane - the rising hydrograph. Water Resour. Res. 3 (3), 753-771.