seawaveQ-package: A model and utilities for analyzing trends in chemical...
In seawaveQ: SEAWAVE-Q Model

Description Details Author(s) References

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), Vecchia and others (2009), Ryberg and others (2010), Ryberg and others (2014), Ryberg and Gilliom (2015), and Oelsner and others (2017) and for applications of the model.

Package:	seawaveQ
Type:	Package
Version:	2.0.2
Date:	2020--12--14
License:	Unlimited \| file LICENSE

Karen R. Ryberg kryberg@usgs.gov and Aldo V. Vecchia avecchia@usgs.gov

Oelsner, G.P., Sprague, L.A., Murphy, J.C., Zuellig, R.E., Johnson, H.M., Ryberg, K.R., Falcone, J.A., Stets, E.G., Vecchia, A.V., Riskin, M.L., De Cicco, L.A., Mills, T.J., and Farmer, W.H., 2017, Water-quality trends in the nation's rivers and streams, 1972–2012—Data preparation, statistical methods, and trend results: U. S. Geological Survey Scientific Investigations Report 2017–5006, 136 p., https://doi.org/10.3133/sir20175006.

Ryberg, K.R. and Gilliom, R.J., 2015, Trends in pesticide concentrations and use for major rivers of the United States: Science of The Total Environment, v. 538, p. 431–444, https://doi.org/10.1016/j.scitotenv.2015.06.095.

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, https://dx.doi.org/10.3133/ofr20131255.

Ryberg, K.R. and York, B.C., 2020, 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, Version 2.0.0: U.S. Geological Survey Open-File Report 2020–1082, 25 p., with 4 appendixes.

Ryberg, K.R., Vecchia, A.V., Gilliom, R.J., and Martin, J.D., 2014, Pesticide trends in major rivers of the United States, 1992–2010: U.S. Geological Survey Scientific Investigations Report 2014–5135, 74 p., https://pubs.er.usgs.gov/publication/sir20145135.

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., https://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., https://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, no. 24, p. 9096–9102.

Vecchia, A.V., Martin, J.D., and Gilliom, 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, https://dx.doi.org/10.1111/j.1752-1688.2008.00225.x.

seawaveQ documentation built on Dec. 15, 2020, 5:12 p.m.