River Water Quality Modelling - Parameter Uncertainty, Sensitivity And Estimation
Author(s)
B.J.C. Perera & A.W.M. Ng
Abstract
River water quality modelling - parameter
uncertainty, sensitivity and estimation
B.J.C. Perera & A.W.M. Ng.
School of the Built Environment, Victoria University of Technology,
Melbourne,Australia.
Abstract
Use of water quality models plays an important role in river water quality
management. Through these models, the cause/effect relationships and the river
assimilative capacity can be determined so that the appropriate strategies can be
implemented in managing river quality. This paper describes the major
components of development of a well-calibrated river water quality model
concentrating on a case study on Yarra River in Victoria, (Australia). The
reaction rates responsible for TKN, TN, TP and DO were considered. In order to
put more effort on sensitive parameters during model calibration, an uncertainty
and sensitivity analysis using Monte Carlo simulation was conducted first to
identify the sensitive parameters to output water quality. A genetic algorithm
optimisat
Keywords
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