Real-Time Flood Forecasting Systems: Perspectives and Prospects

Advances in flood forecasting concern much more than innovation in model formulation. This paper aims to provide a perspective on developments in the UK over the last twenty years, initially by reviewing models in current operational use but progressing to discuss updating methods, the use of weather radar and lastly the introduction of integrated flood forecasting systems. Updating methods allow real-time measurements, for example of river level received via telemetry, to be used to improve model performance. Weather radar allows point measurements of rainfall, from an often sparse raingauge network, to be complemented by spatially continuous measurements of the rainfall field and thereby, provide improved input to flood forecasting models. Most recently, flood forecasting systems have been developed capable of coordinating the construction of forecasts at many points across a possibly complex region and being generic in their use of models and their configuration to any set of river networks without expensive recoding. These developments are examined with an acknowledged emphasis on procedures developed at the Institute of Hydrology and particularly those methods which are incorporated in its River Flow Forecasting System or RFFS. However, these methods are reviewed with reference to techniques developed elsewhere and which are in use operationally, thereby providing an overview of the present state-of-the-art in the UK. Prospects for future improvement are considered, focusing on the potential value of digital terrain models to formulate a new generation of distributed model appropriate for operational use in combination with radar rainfall and satel-lite-derived thematic data, for example on land-use.

[1]  H. L. Penman THE DEPENDENCE OF TRANSPIRATION ON WEATHER AND SOIL CONDITIONS , 1950 .

[2]  Robert J. Moore,et al.  Risk assessment and drought management in the Thames basin , 1989 .

[3]  A. Jazwinski Stochastic Processes and Filtering Theory , 1970 .

[4]  G. C. Vansteenkiste,et al.  Modelling, Identification and Control in Environmental Systems , 1979 .

[5]  Vijay P. Singh,et al.  Statistical analysis of rainfall and runoff , 1982 .

[6]  C. Collier,et al.  Hydrological applications of weather radar , 1991 .

[7]  Arthur Gelb,et al.  Applied Optimal Estimation , 1974 .

[8]  R. Moore The probability-distributed principle and runoff production at point and basin scales , 1985 .

[9]  R. L. Hardy Multiquadric equations of topography and other irregular surfaces , 1971 .

[10]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1972 .

[11]  Kieran M. O'Connor,et al.  Derivation of discretely coincident forms of continuous linear time-invariant models using the transfer function approach , 1982 .

[12]  Celia Kirby,et al.  Weather radar and flood forecasting , 1987 .

[13]  A. Jakeman,et al.  Computation of the instantaneous unit hydrograph and identifiable component flows with application to two small upland catchments , 1990 .

[14]  X. R. Liu,et al.  The Xinanjiang model. , 1995 .

[15]  Peter C. Young,et al.  Concise encyclopedia of environmental systems , 1993 .

[16]  James C. I. Dooge,et al.  Linear Theory of Hydrologic Systems , 1973 .

[17]  Jan M Smith,et al.  Mathematical Modeling and Digital Simulation for Engineers and Scientists , 1977 .

[18]  Roland K. Price,et al.  Comparison of Four Numerical Methods for Flood Routing , 1974 .

[19]  R. Moore,et al.  London Weather Radar Local Calibration Study: Final Report. Contract report prepared for the National Rivers Authority Thames Region , 1989 .