An Example of Non-Linear Time Series Flood Modelling Using the System Identification Method
Year: 2007
Type: conference-paper
Abstract: Flood prediction and water level forecasting constitute one of the most important applications in hydrology.In this paper, the system identification method is applied to estimate the parameters in the nonlinear time series flood model.In this new model, we consider water flow dynamics as a system and the water surface level is considered as the system output, the river flow and rainfall are considered as the system input.The data is collected at Somerton and Chiselborough near River Parrett, England.Some parameter estimation analysis, convergence and model validation issues are also discussed as well.The system identification model may shed the light of the nature of the complicated hydrological system in flood forecasting and water level prediction.
Authors: Huixin Chen, Phil Dyke
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W205149356