Probabilistic model for temperature and turbidity in a reservoir withdrawal

Testing and application of a two-dimensional hydrothermal/transport model for a long, deep, and narrow lake with moderate Burger number

“…Elsewhere, W2/T has served as the transport submodel to predict (1) 2-D patterns of turbidity plumes formed from particle inputs delivered during rainfall/runoff events in water supply reservoirs (Gelda and Effler 2007b, Gelda et al 2009, 2012, (2) transport and fate of spills of a toxic chemical along the axis of a water supply reservoir (Chung and Gu 1998), and (3) the seasonal dynamics and spatial patterns of phytoplankton growth in a eutrophic system in response to the dynamics and positions of nutrient loading (Doerr et al 1998). The stability of W2/T to make credible longer-term (multiyear) simulations of the hydrothermal and transport regimes, together with long-term datasets of hydrologic and meteorological drivers, has enabled multiyear projections elsewhere (Gelda and Effler 2008). This approach is valuable to managers by providing a probabilistic context for predictions that reflect the often important effects of natural variations in these drivers (Gelda and Effler 2008).…”

“…The stability of W2/T to make credible longer-term (multiyear) simulations of the hydrothermal and transport regimes, together with long-term datasets of hydrologic and meteorological drivers, has enabled multiyear projections elsewhere (Gelda and Effler 2008). This approach is valuable to managers by providing a probabilistic context for predictions that reflect the often important effects of natural variations in these drivers (Gelda and Effler 2008). Boegman et al (2008aBoegman et al ( , 2008b documented the critical role W2/T played in a water quality (P-eutrophication) model for Lake Erie in representing the influence of dreissenid mussels.…”