Stormwater Runoff and Pollutant Modeling in a Florida Drainage Basin
Richard Z. Xue
Joyce Zhang
DOI: 10.2190/8H6X-NV3Q-LQ5Q-QLAY
Abstract
A stormwater runoff and pollutant model (SRPM) was developed for catchment-scale watersheds in both urban and agricultural areas. the model was tested on a small watershed in Florida using data collected during a thirty-three-month period. the performance of the model was evaluated by comparing simulated results with outputs from a validated model, CREAMS-WT. Statistical correlations of daily, monthly, and annual values of observed and simulated runoff and phosphorus loads by SRPM and CREAMS-WT were analyzed. Statistical results indicated that the two models performed similarly in predicting daily, monthly, and annual runoff and phosphorus loads. With Pearson correlation coefficient of R2 greater than 0.84, annual predictions from both models matched very well with observed data. A Pearson correlation coefficient grater than 0.76 indicated that both models performed well in predicting monthly runoff and phosphorus loads. Neither model performed well in predicting daily runoff or phosphorus loads, as shown by the low R2 values (< 0.4). Key parameters of SRPM in the simulation of urban hydrology and water quality components were selected for sensitivity analyses for both a typical storm event and the whole simulation period. It was found that the phosphorus load computations for both storm events and the whole simulation period were sensitive to changes in the washoff parameters, whereas the load calculations for the whole simulation period were more sensitive to the buildup parameters than for individual storms.
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