Young, Peter C. (2002) Advances in real-time flood forecasting. Philosophical Transactions A: Mathematical, Physical and Engineering Sciences, 360 (1796). pp. 1433-1450. ISSN 1364-503XFull text not available from this repository.
This paper discusses the modelling of rainfall-flow (rainfall-run-off) and flow-routeing processes in river systems within the context of real-time flood forecasting. It is argued that deterministic, reductionist (or 'bottom-up') models are inappropriate for real-time forecasting because of the inherent uncertainty that characterizes river-catchment dynamics and the problems of model over-parametrization. The advantages of alternative, efficiently parametrized data-based mechanistic models, identified and estimated using statistical methods, are discussed. It is shown that such models are in an ideal form for incorporation in a real-time, adaptive forecasting system based on recursive state-space estimation (an adaptive version of the stochastic Kalman filter algorithm). An illustrative example, based on the analysis of a limited set of hourly rainfall-flow data from the River Hodder in northwest England, demonstrates the utility of this methodology in difficult circumstances and illustrates the advantages of incorporating real-time state and parameter adaption.
|Journal or Publication Title:||Philosophical Transactions A: Mathematical, Physical and Engineering Sciences|
|Uncontrolled Keywords:||Rainfall-Flow Processes ; Data-Based Mechanistic Models ; Recursive Estimation ; Real-Time Forecasting ; Parameter Adaption ; Variance Adaption|
|Subjects:||G Geography. Anthropology. Recreation > GE Environmental Sciences|
|Departments:||Faculty of Science and Technology > Lancaster Environment Centre|
|Deposited On:||20 Jan 2009 09:39|
|Last Modified:||03 Nov 2015 14:42|
Actions (login required)