A PCSWMM/GIS-based water balance model for the Reesor Creek watershed |
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Authors: | D. Smith J. Li D. Banting |
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Affiliation: | aENSCIMAN Program, Ryerson University, Toronoto, Ontario, Canada;bDepartment of Civil Engineering, Ryerson University, Toronoto, Ontario, Canada;cSchool of Geography, Ryerson University, Toronoto, Ontario, Canada |
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Abstract: | This paper presents the results of a study of a watershed experiencing the pressures of land-use change resulting from urban development. The study was undertaken to facilitate an understanding of the water balance of the watershed by developing and implementing watershed procedures that are to be addressed in a watershed plan. There were three components to the research: firstly, observation of the effects of spatially distributed rainfall measurements and their effect on modelling were assessed. Secondly, the model was then calibrated by observing how differing techniques can discretize both the landscape (e.g. land-use and soil type) and incoming precipitation. Finally, a modelling methodology was developed to integrate a Geographic Information System and a hydrologic model (e.g. Storm Water Management Model) in a water balance analysis on a watershed basis. Results show that, under certain conditions, kriging spatially distributed rainfall values can help predict rainfall at ungauged (virtual) sites. Discretization of a watershed was found to affect the differences between measured and generated runoff volumes; however, this can be refined with calibration. It was seen that a strong correlation between measured and predicted rainfall values did not always guarantee a strong relationship between measured and generated runoff Recommendations include the use of a longer time series of rainfall, streamflow and predicted rainfall to observe temporal variations, and the need to assess the differences in modelled rainfall values generated by various surface interpolation methods (e.g. Inverse Distance Weighting and other kriging options) currently available in GIS packages. |
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Keywords: | Kriging GIS SWMM Water balance Watershed Precipitation Model Lumped Clustered Grid |
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