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A Procedure to identify and rank rainfall/runoff phenomena for the evaluation of urban stormwater models

From National Research Council Canada

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Affiliation
  1. National Research Council of Canada. NRC Institute for Research in Construction
FormatText, Article
ConferenceThe Stormwater and Urban Water Systems Modeling Conference: 23 February 2006, Toronto, Ontario
Abstract
Computer models are needed to predict the effects of changes in land-use and climate within an urban stormwater drainage catchment. As with any computer model result, it is important to clearly state the reliability of the calculations and the modeling assumptions that were used (James, 2005). A common practice that is used to demonstrate the reliability of an urban stormwater model is to compare calculated results to data that are obtained from field measurements within the catchment (often a split-test calibration/verification procedure is employed). This practice is applicable to the analysis of existing drainage catchments using historical weather data but the difficulty with predicting the effects of changes in land-use or climate is that field data on the changed system are not available. Therefore, the predictive capabilities of the model must be validated, which includes establishing the uncertainties in the calculations (O'Connell and Todini, 1996; Ewan and Parkin, 1996). Quantification of these uncertainties is needed so that informed decisions can be made regarding the implementation of a land-use change or how best to mitigate the risk associated with climate change scenarios.
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  • Proceedings of the Stormwater and Urban Water Systems Modeling Conference: 23 February 2006, Toronto, Ontario (23 February 2006): 1–20.
LanguageEnglish
Peer reviewedYes
NRC numberNRCC 49229
NRC-IRC-18305
NPARC number20377881
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Record identifier7e856ff1-0284-418c-bd8f-df554bd67ec0
Record created2012-07-24
Record modified2020-04-22
Date modified: