A linear programming approach to fitting rainfall runoff models based on finite mixture hydrographs: a potential for flood forecasting?
Citation
Export citationBardsley, 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.
Permanent Research Commons link: https://hdl.handle.net/10289/5400
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.
Date
2007Type
Publisher
MODSIM