From single-objective to multiple-objective multiple-rainfall events automatic calibration of urban storm water runoff models using genetic algorithms

Water Science and Technology

Volumn 54, Issue 6-7, 2006, Pages 57-64

  di Pierro, F ^a   Khu, S T ^a   Savic D ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

Automatic calibration; Multiple event; Multiple objective; Urban storm water runoff models

Indexed keywords

CALIBRATION; FLOW MEASUREMENT; GENETIC ALGORITHMS; MATHEMATICAL MODELS; STORMS; URBAN PLANNING;

AUTOMATIC CALIBRATION; MULTIPLE-OBJECTIVE; SINGLE-OBJECTIVE; STORM WATER RUNOFF MODEL;

RUNOFF;

RAIN; RUNOFF; STORM WATER;

CALIBRATION; FLOW MEASUREMENT; GENETIC ALGORITHMS; MATHEMATICAL MODELS; RUNOFF; STORMS; URBAN PLANNING;

CALIBRATION; GENETIC ALGORITHM; HYDROLOGICAL MODELING; RAINFALL; RUNOFF;

ARTICLE; AUTOMATION; AWARENESS; CALIBRATION; CONTROLLED STUDY; GENETIC ALGORITHM; PROCESS OPTIMIZATION; SINGAPORE; URBAN AREA;

ALGORITHMS; CALIBRATION; CITIES; MODELS, GENETIC; MODELS, THEORETICAL; RAIN; SINGAPORE; WATER; WATER MOVEMENTS;

EID: 33751057104     PISSN: 02731223     EISSN: None     Source Type: Book Series    
DOI: 10.2166/wst.2006.609     Document Type: Article

References (12)

1. ASCE Task Committee (1993). Definition of criteria of evaluation of watershed models. J. Irrig. Drain. Eng., 119(3), 429-442.
2. di Pierro, F., Khu, S.-T., Djordjevic, S., Savic, D., (2004). A New Genetic Algorithm to Solve Effectively Highly Multi-Objective Problems: POGA, School of Engineering, Computer Science and Mathematics, University of Exeter, Exeter, United Kingdom, Technical Report, 2004/02.
3. Duan, Q., Gupta, H.V., Sorooshian, S. and Rousseu, A.N. (2003). Calibration of Watershed Models, AGU: Washington DC.
4. Duan, Q., Soorooshian, S. and Gupta, V.K. (1994). Optimal use of the SCE-UA global optimisation method for calibrating watershed models. J. Hydrol., 158, 265-284. CfWS. Notes: CfWS.
5. Green, I.R.A. and Stephenson, D. (1986). Criteria for comparison of single event models. Hydrol. Sci. J, 31(3), 395-411.
6. Holland, J.H. (1975). Adaptation in Natural and Artificial Systems, The University of Michigan Press: Ann Arbor, MI.
7. Ibrahim, Y. and Liong, S.Y. (1992). Calibration strategy for urban catchment parameters. J. Hydraul. Eng., 118(11), 1550-1570.
8. James, W. (2000). Rules for Responsible Modeling, CHI, Guelph.
9. Khu, S.T., di Pierro, F., Savic, D., Djordjevic, S. and Walters, G. (2005). Incorporating spatial and temporal information for urban drainage model calibration: preference ordered genetic algorithm. Adv. Water Resour., in press (available on-line).
10. Madsen, H. and Khu, S.T., (2002): Parameter estimation in hydrological modelling using multi-objective optimization In: Proceedings of the Fifth International Conference on Hydroinformatics, Software Tools and Management Systems, Cluckie, I.D., Han, D., Davis, J.P. and Heslop, S. (eds) 2, IWA Publishing, London, pp. 1160-1165.
11. Metcalf and Eddy, I., University of Florida, and Water Resources Engineers, I., (1971). Storm Water Management Model, U.S. EPA, Washington, DC, 20460., Vol. I. Final Report, 11024DOC07/71 (NTIS PB-203289).
12. Wan, B. and James, W, (2002). SWMM Calibration using Genetic Algorithms: Global Solutions for Urban Drainage: 91CUD, ASCE, Reston, VA, USA.