Uncertainty analysis of the rational method in stormwater management - A case study in Gråbo, Lerum municipality, using multi-criteria analysis
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Stormwater management is an important aspect for municipalities in Sweden and it
is of high importance to have a sufficient stormwater system to ensure sustainable
cities in regard to economic, social and environmental aspects. The rational method
is the most widely used approach for estimating runoff rates in urban catchments.
The method incorporates four parameters: rainfall intensity, catchment area, runoff
coefficient and a climate factor. Depending on the estimations that are made for
the inputs, the calculated, dimensioning flow will have an uncertainty attached to
it. No evaluations of the extent of the uncertainty could be found prior to this
work. Therefore, the aim with this study was to identify the potential uncertainties
in the input parameters of the rational method and to evaluate what effect these
uncertainties might have on stormwater management.
Segerstaden is a residential area in Gråbo, Lerum municipality, Sweden, that has
problems with unwanted water accumulation. This study investigated suitable
stormwater measures for Segerstaden and evaluated the measures with a multicriteria analysis. The results from an uncertainty analysis of the rational method
were integrated in a multi-criteria analysis to evaluate what effects parameter un certainties in the rational method might have when choosing stormwater measures.
The uncertainty analysis was made by means of Monte Carlo simulation in Excel
using the ad-in software @Risk.
The study showed that all parameters in the rational method bring some uncertainty to the dimensioning flow as they are based on estimations. The magnitude of
the uncertainty showed to be significant in this study, with the 5th percentile flow
equal to 118 l/s and 95th percentile flow equal to 756 l/s. The rainfall intensity was
shown to have the largest impact on the overall uncertainties in the rational method
followed by the catchment area. However, all parameters contribute to the overall
uncertainty and the magnitude of it will vary depending on how rough the estimations for the input parameters are. Since the stormwater measures are designed
based on a dimensioning flow, the uncertainties in the rational method will have a
direct impact on the design of the measures and hence the stormwater management.
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rational method, stormwater management, stormwater measures, sustainability, uncertainty analysis, multi-criteria analysis