|Evaluation of three daily rainfall generation models for SWAT
|Watson, B.M., R. Srikanthan, S. Selvalingam and M. Ghafouri
|Transactions of the ASAE
|URL (non-DOI journals):
|Broad Application Category:
|Primary Application Category:
|climate data effects
|Secondary Application Category:
|variable source area/saturation excess hydrology
|306 km^2 Woady Yaloak River, located in southwest Victoria, Australia.
|1978-89 E values annual = 0.77 monthly = 0.77 daily = 0.54
|1990-2001 E values annual = 0.91 monthly = 0.79 daily = 0.47
|Three different stochastic rainfall generation models were evaluated with SWAT. The SCS runoff curve number method was replaced by a saturation excess runoff approach, by extending the kinematic storage model used to simulated lateral flow in the model, to more accurately simulate runoff generation processes in the watershed. The modified model was judged to satisfactorily replicate measured runoff. The majority of the paper focuses on the performance of the three different rainfall generation models.
|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 km^2) 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.
|Hydrologic model, Rainfall generation, Stochastic model, SWAT, Water balance