作者: Ammar Safaie , Aaron Wendzel , Zhongfu Ge , Meredith B. Nevers , Richard L. Whitman
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摘要: Statistical and mechanistic models are popular tools for predicting the levels of indicator bacteria at recreational beaches. Researchers tend to use one class model or other, it is difficult generalize statements about their relative performance due differences in how developed, tested, used. We describe a cooperative modeling approach freshwater beaches impacted by point sources which insights derived from were used further improve statistical vice versa. The provided basis assessing improved using probability distributions generate high-resolution time series data source, long-term “tracer” transport based on observed electrical conductivity, better assimilation meteorological data, unstructured-grids resolve nearshore features. This resulted comparable both class...