AWRA Water Blog

JAWRA HIGHLIGHTS – JUNE 2017

HIGHLIGHTS – JAWRA June 2017

http://onlinelibrary.wiley.com/doi/10.1111/jawr.2017.53.issue-3/issuetoc

Editorial

Wigington summarizes the purpose of Water Commentaries and Reviews (WCR)

Water Commentaries and Reviews (WCR)

Hoag et al. (2017), in the first WCR paper, explores difficulties associated with water quality trading for nonpoint source pollution and identify physical, economic, and institutional requirements for successful water quality trading.

Featured Series – SWAT Applications for Emerging Hydrologic and Water Quality Challenges

This is a recurring series of papers focused on the Soil and Water Assessment Tool (SWAT).

Shao et al. developed an open source GIS-based decision support system for creating best management best management practice scenarios and simulating economic costs and water quantity/quality benefits at farm field, subbasin, and watershed scales.

Pfannerstill et al. propose an evaluation framework that considers both stream discharge and water balance components as evaluation criteria for calibration of SWAT.

Almendinger and Jones developed a SWAT model to estimate load reductions due to selected best management practices and to determine how phosphorus export coefficients scaled with contributing areas.

Other Technical Papers

Griffin and Friedman examine historical variability in annual and growing season precipitation, temperature, and streamflow.

Osei et al. assess comprehensive nutrient management plans as a tool for addressing nonpoint nutrient and sediment losses from animal feeding operations.

Driscoll et al. derive snow depletion curves from operational Snow Data Assimilation System (SNODAS) snow model as daily 1-km gridded SWE data over the conterminous United States.

Lerch et al. evaluate the effects of vegetation buffer strips on runoff transport of atrazine, metolachlor, and glyphosate.

Webb et al. developed a method using hourly snow water equivalent data to develop and test a function for representing the diurnal pattern of snowmelt.

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