JETI

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Abstract

The rainfall – runoff process and consequent estimates of streamflow are challenging to model in data- deficient regions. Progressing urbanisation will no doubt induce increased surface runoff owing to urban impervious cover and reduction in base-flow as a result of reduction in the infiltration capacity in the catchment. A method for constructing an hourly streamflow conditioned on the disaggregation of monthly rainfall and computed catchment runoff using soil conservation service Curve Number (SCS CN) method is presented. Satellite data was used for land use, soil classification and rainfall estimates. This method was applied to the region around Akure, Ondo State, Nigeria. The performance of the model was evaluated by the use of Cypress Creek equation results as a basis for comparison. The analysis produced an estimating equation that relates specific streamflow statistics to basin characteristics. One identified limitation of the method is the inability to accurately represent the basin characteristics; therefore, the derived equation may not be able to forecast sufficient results for the basins whose parameter values are contained within those that are used to build up the equation.

References

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