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Neural networks modelling of stream nitrogen using remote sensing information: model development and application
DownloadFall 2009
In remotely located forest watersheds, monitoring nitrogen (N) in streams often is not feasible because of the high costs and site inaccessibility. Therefore, modelling tools that can predict N in unmonitored watersheds are urgently needed to support management decisions for these watersheds....
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Nitrogen Loadings in Stormwater and Snowmelt from Cold-region Urban Catchments in 1991 – 2018 and Prediction for Year 2050
DownloadSpring 2022
Urban stormwater and snowmelt runoff has become a primary source of pollution in receiving water bodies (e.g., rivers, lakes and oceans), causing eutrophication, harmful algae blooms and hypoxia and many other environmental issues. It is therefore imperative to study pollutant loadings from urban...
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