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Model highlight

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SPARROW
SPAtially Referenced Regression on Watershed attributes – is a model for water quality of US rivers. USGS scientists Richard Alexander and Stephen Preston are the main developers, they support other researchers using SPARROW for regional water management and coastal zone eutrophication. SPARROW uses spatial data of land-use, soil characteristics and climate, and ingests data on fertilizers, and point-source pollution to predict water and constituents fluxes over time. More...

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Science in the spotlight

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Peatland Subsidence Depends on Water Management
Dr. Zanello and co-authors of the University of Padova, Italy, show that irreversible peat land subsidence due to bio-oxidation of the organic matter is predominantly controlled by the depth of the water table. Four years of field monitoring in farmlands close the Venice Lagoon show subsidence rates of 3-15mm/year. Numerical modeling attributes rapid subsidence mainly to water management for agricultural practice and shows less dependency on a warming climate. More...

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