A New Approach For Flood Forecasting Of
River Flows
Author(s)
M. Mohssen
Abstract
Flood warning mainly depends on reliable flood forecast models. Literature is
rich in flood modelling techniques, but failures of these models, especially on the
very short scale such as hourly flows, do often cause devastating impacts on
the communities affected by these floods, and on many occasions result in loss of
lives. This paper presents a new approach for flood forecasting of river flows
based on the projection theorem in Hilbert space.
The new modelling process obtains the projection of hourly flow rates on
hourly rainfalls over the catchment at previous hours to the projected flow rate. A
total of 25 flow events observed for the Leith River in Dunedin, New Zealand,
along with their corresponding observed rainfalls at two sites in the catchment
have been identified and applied to calibrate and validate the derived model. The
proposed modelling technique was capable of simulating the flow process for
the Leith River, and is a promising tool for flood forecast when other models
fail. The proposed model is easy to apply, doesn’t imply a lot of assumptions or
parameters, as other models usually require, and can be used for long term forecast
based on forecasted hourly rain one day or more before the event, or real time
forecast during the event itself based on rainfall which has been already gauged.
However, for real time (short term) forecast, the forecast time can be a few hours
based on the catchment area and its topography which can lead to a fast flow to
the outlet.
Keywords
flood forecast, flood modelling, rainfall-runoff, projection in HilbertSpace.
Related Book
Other papers in this volume
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