Item

A linear programming approach to fitting rainfall runoff models based on finite mixture hydrographs: a potential for flood forecasting?

Abstract
It is recognised that the transformation of rainfall to discharge is essentially nonlinear and it would seem logical to construct parsimonious nonlinear models to approximate the runoff process. Lumped nonlinear rainfall-runoff models are simple to construct but difficulties may be created in the calibration process if suboptimal fits to data arise from local minima in the objective function measuring goodness of fit, where small fit values indicate improved fit.
Type
Journal Article
Type of thesis
Series
Citation
Bardsley, W.E. & Liu, S. (2007). A linear programming approach to fitting rainfall runoff models based on finite mixture hydrographs: a potential for flood forecasting? In L. Oxley & D. Kulasiri (Eds.), MODSIM 2007 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2007, pp. 1763-1768.
Date
2007
Publisher
MODSIM
Degree
Supervisors
Rights