Browse > Article
http://dx.doi.org/10.3741/JKWRA.2003.36.4.587

Application of Inference Models for Estimating Parameters of a Catchment Modelling System  

Choi, Kyung-Sook (Sydney Water Corporation)
Publication Information
Journal of Korea Water Resources Association / v.36, no.4, 2003 , pp. 587-596 More about this Journal
Abstract
Application of a catchment modelling system requires recorded information to ascertain the reliability and robustness of the predicted flow conditions. Where this recorded information is not available, the necessary information for reliable and robust predictions must be obtained from other available information sources. The alternative approach presented in this paper used inference models for getting this necessary information that is required to calibrate and validate the catchment modelling system for both an ungauged and a gauged catchments. In this study, inference models were developed for determination of control parameters of the Storm Water Management Model (SWMM), mainly based on landuse component of the catchment, which is a major factor to impact on quantity and quality of catchment runoff. Results from the study show that the new approach for determination of the spatially variable control parameters produced more accurate estimates than a traditional approach. Also, the number of control parameters estimated can be reduced significantly as the proposed method only requires determination of control parameters associated with each land use of the catchment while a traditional approach needs to assign a number of control parameters for a number of subcatchment.
Keywords
Control parameters; Parameter estimation; Inference models; Catchment modelling system; SWMM;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Abustan, I.(1997). Modelling of phosprhorus transport in urban strormwater runoff, Ph.D. Dissertation, School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia
2 Baffaut, C., and Delleur, J.W.(1989). Expert system for calibrating SWMM. Journal of Water Resources Planning and Management, ASCE, Vol. 115, No.3, pp.278-298   DOI
3 Pilgrim, D.H. (1987). Australia rainfall and runoff: a guide to flood estimation, editor-in-chief, Pilgrim,D.H. 3rd ed. Barton, ACT, Institution of Engineering
4 Zaghloul, N.A.(1981). Sensitivity analysis of the SWMM RUNOFF-TRANSPORT parameters and the effects of catchment discretisation, International Symposium on Urban Hydrology, Hydraulics, and Sendiment Control, University of Kentucky, Lexington, Kentucky, USA, pp.25-34
5 Zaman, S.(1993). Simulation of small events in salt pan creek catchment, Master of Engineering Science Thesis, School of Civil Engineering, The University of New South Wales. Australia
6 Huber, W.C., and Dickinson, R.E.(1988). Storm Water Management Model, (Version 4), Users Manual. EPA-600/3-88-001a, U.S. Environmental Protection Agency, Athens. Georgia, USA
7 Ibrahim,Y., and Liong,S.Y.(1992). Calibration strategy for uban catchment parameters. Journal of Hydraulic Engineering, ASCE, Vol.118, No.11, pp.1550-1570   DOI
8 Liong, S.Y., Chan, W.T., and Lum, L.H.(1991). Knowledge based system for SWMM runoff component calibration, Journal of Water Resources Planning and Management, ASCE, Vol.117, No.5, pp.507-524   DOI