Calibration of SWMM5 for local parameters at Sungai Kayu Ara, Damansara Selangor
Date
2009-06-20Author
Mahyun, Ab Wahab
Ismail, A.
Maznah, K.
Salwa, M. Z. M.
Ayu Wazira
Haqi, Ibrahim
Metadata
Show full item recordAbstract
Urban storm water modeling is one of
the alternatives management and design tools in
water engineering field. Users have so many
choices in selecting the appropriate model base on
their application purposes. One of the among
popular model is Storm Water management Model
(SWMM) from primarily in urban areas. SWMM is a
dynamic rainfall-runoff simulation model that may
be used for a single event or long-term
(continuous) simulation for either runoff quantity
or quality or both. In addition, the new SWMM
version which running under Windows based,
provides an integrated environment for editing
study area input data, running hydrologic,
hydraulic and water quality simulations, and
finally, viewing the results in a variety of formats.
The sensitivity analysis is carried out in this study
to determine the major influence parametes to
runoff depth and peak flow. By successfully
running the sensitivity analysis, the selection of
calibration parameters can be minimized. The
results indicate that the sensitivity analysis showed
a similar trend like the other overseas studies. This
means that the main parameters for this model are
related to the physical catchment caracteristics.
Furthers, the calibration process for local
parameter indicated that the results are in the
allowable ranges. The mean result for Relative
Error (RE) and Absolute Relative Error were found
fewer than 10 and 25 percent respectively. This
initial study indicated that this modeling process is
successful in Malaysian conditions. In sum, the
SWMM5 usages are applicable with local
parameters and successfully mimic the real events.
By playing with the percentage of impervious,
which is the most sensitive parameter to either runoff depth or peak flow, of the cacthment area,
the model can predict and further, could be
utilized as a flood forecasting tool.
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