Assessing Potential Algal Blooms in a Shallow Fluvial Lake by Combining Hydrodynamic Modelling and Remote-Sensed Images

摘要: Abstract: Shallow fluvial lakes are dynamic ecosystems shaped by physical and biological factors characterized the coexistence of phytoplankton macrophytes. Due to multiple interplaying factors, understanding distribution in is a complex but fundamental issue, context increasing eutrophication, climate change, water uses. We analyze combining remotely sensed maps chlorophyll- with hydrodynamic model dammed lake (Mantua Superior Lake, Northern Italy). The numerical simulation different conditions shows that main effects which influence algal related combined effect advection due wind forces local currents, as well presence large gyres induce recirculation stagnation regions, favoring accumulation. Therefore, general characters horizontal patchiness can be inferred from results model. Conversely, hyperspectral remote-sensing products used validate this model, they provide