seawaveQ-package: A model and utilities for analyzing trends in chemical concentrations in streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and other ancillary variables (Q) and other ancillary variables

Description

An R package for the U.S. Geological Survey seawaveQ model, a parametric regression model specifically designed for analyzing seasonal- and flow-related variability and trends in pesticide concentrations. See Vecchia and others (2008) for the original description of the model and see Sullivan and others (2009), Ryberg and others (2010), and Vecchia and others (2009) for applications of the model.

Arguments

Details

ll{ Package: seawaveQ Type: Package Version: 1.0.0 Date: 2013--12--13 License: Unlimited | file LICENSE LazyLoad: yes }

References

Ryberg, K.R. and Vecchia, A.V., 2013, seawaveQ--An R package providing a model and utilities for analyzing trends in chemical concentrations in streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and other ancillary variables: U.S. Geological Survey Open-File Report 2013--1255, 13 p., with 3 appendixes, http://dx.doi.org/10.3133/ofr20131255.

Ryberg, K.R., Vecchia, A.V., Martin, J.D., Gilliom, R.J., 2010, Trends in pesticide concentrations in urban streams in the United States, 1992-2008: U.S. Geological Survey Scientific Investigations Report 2010-5139, 101 p. http://pubs.usgs.gov/sir/2010/5139/.

Sullivan, D.J., Vecchia, A.V., Lorenz, D.L., Gilliom, R.J., Martin, J.D., 2009, Trends in pesticide concentrations in corn-belt streams, 1996-2006: U.S. Geological Survey Scientific Investigations Report 2009-5132, 75 p. http://pubs.usgs.gov/sir/2009/5132/.

Vecchia, A.V., Gilliom, R.J., Sullivan, D.J., Lorenz, D.L., and Martin, J.D., 2009, Trends in concentrations and use of agricultural herbicides for Corn Belt rivers, 1996-2006: Environmental Science and Technology, v. 43, p. 9,096-9,102.

Vecchia, A.V., Martin, J.D., and Gilliiom, R.J., 2008, Modeling variability and trends in pesticide concentrations in streams: Journal of the American Water Resources Association, v. 44, no. 5, p. 1308-1324, http://dx.doi.org/10.1111/j.1752-1688.2008.00225.x.