Evaluation of three daily rainfall generation models for SWAT

Watson, B. M., Srikanthan, R., Selvalingam, Selva and Ghafouri, M. 2005, Evaluation of three daily rainfall generation models for SWAT, Transactions of the ASAE, vol. 48, no. 5, pp. 1697-1711.

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Title Evaluation of three daily rainfall generation models for SWAT
Author(s) Watson, B. M.
Srikanthan, R.
Selvalingam, Selva
Ghafouri, M.
Journal name Transactions of the ASAE
Volume number 48
Issue number 5
Start page 1697
End page 1711
Publisher American Society of Agricultural Engineers
Place of publication St. Joseph, Mich.
Publication date 2005
ISSN 0001-2351
Keyword(s) hydrologic model
rainfall generation
stochastic model
SWAT water balance
Summary The Soil and Water Assessment Tool (SWAT) is a hydrologic model that was developed to predict the long-term impacts of land use change on the water balance of large catchments. Stochastic models are used to generate the daily rainfall sequences needed to conduct long-term, continuous simulations with SWAT. The objective of this study was to evaluate the performances of three daily rainfall generation models. The models evaluated were the modified Daily and Monthly Mixed (DMMm) model, skewed normal distribution (SKWD) model and modified exponential distribution (EXPD) model. The study area was the Woady Yaloak River catchment (306 km2) located in southwest Victoria, Australia. The models were assessed on their ability to preserve annual, monthly and daily statistical characteristics of the historical rainfall and runoff. The mean annual, monthly, and daily rainfall was preserved satisfactorily by the models. The DMMm model reproduced the standard deviation of annual and monthly rainfall better than the SKWD and EXPD models. Overall, the DMMm model performed marginally better than the SKWD model at reproducing the statistical characteristics of the historical rainfall record at the various time scales. The performance of the EXPD model was found to be inferior to the performances of the DMMm and SKWD models. The models reproduced the mean annual, monthly, and daily runoff relatively well, although the DMMm and SKWD models were found to preserve these statistics marginally better than the EXPD model. None of the models managed to reproduce the standard deviation of annual, monthly, and daily runoff adequately.
Language eng
Field of Research 040608 Surfacewater Hydrology
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2005, American Society of Agricultural Engineers
Persistent URL http://hdl.handle.net/10536/DRO/DU:30002986

Document type: Journal Article
Collection: School of Engineering and Technology
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