compAnom: Calculates anomalies

In waterData: Retrieval, Analysis, and Anomaly Calculation of Daily Hydrologic Time Series Data

Description

Function to calculate short-, medium-, and long-term hydrologic anomalies

Usage

compAnom(dataset, which = 1)

Arguments

dataset	is the daily hydrologic data returned from importDVs or data otherwise obtained and in the same format as that produced by importDVs.
which	indicates which set of anomalies; 1 calculates the 1-year, 30-day, and 1-day anomalies; 2 calculates the 100-day, 10-day, and 1-day anomalies; 3 calculates the 30-day and 1-day anomalies; and 4 calculates the 10-year, 5-year, 1-year, one-quarter-year (seasonal), and 1-day anomalies.

Details

This function was written with streamflow data in mind because streamflow is the most commonly used exogenous variable for trend models for water quality; however, the function is generic so that users may experiment with anomalies from other daily hydrologic data. Examples of the inclusion of streamflow anomalies in trend analysis of nutrients, pesticides and surface water can be found in Alexander and Smith (2006), Ryberg and Vecchia (2006), Ryberg and others (2010), Sullivan and others (2009), Vecchia (2003), Vecchia (2005), and Vecchia and others (2008).

Value

A list. In the cases of "which" equal to 1 or 2, the first element of the list is a data frame containing the station identification number, dates, streamflow, and long-term, mid-term, and short-term anomalies. The next three elements of the list are the length in days of the long-term, mid-term, and short-term streamflow anomalies. In the case of "which" equal to 3, the first element of the list is a data frame containing the station identification number, dates, streamflow, and mid-term and short-term anomalies. The next two elements of the list are the length in days of the mid-term and short-term streamflow anomalies. In the case of "which" equal to 4, the first element of the list is a data frame containing the station identification number, dates, streamflow, and 10-year, 5-year, annual, seasonal, and daily streamflow anomalies. The next five elements of the list are the length in days of the 10-year, 5-year, annual, seasonal, and daily streamflow anomalies.

References

Alexander, R.B. and Smith, R.A., 2006, Trends in the nutrient enrichment of U.S. rivers during the late 20th century and their relation to changes in probable stream trophic conditions: Limnology and Oceanography, v. 51, no. 1, Part 2: Eutrophication of Freshwater and Marine Ecosystems, p. 639–654, accessed August 1, 2012, at http://www.jstor.org/stable/4499617.

Ryberg, K.R. and Vecchia, A.V., 2006, Water-quality trend analysis and sampling design for the Devils Lake Basin, North Dakota, January 1965 through September 2003: U.S. Geological Survey Scientific Investigations Report 2006–5238, 64 p., accessed August 1, 2012, at http://pubs.usgs.gov/sir/2006/5238/.

Ryberg, K.R. and Vecchia, A.V., 2012, waterData—An R packge for retrieval, analysis, and anomaly calculation of daily hydrologic time series data, version 1.0: U.S. Geological Survey Open-File Report 2012–1168, 8 p. (Also available at http://pubs.usgs.gov/of/2012/1168/.)

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. (Also available at 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., accessed Ausugst , 2012, at http://pubs.usgs.gov/sir/2009/5132/.

Vecchia, A.V., 2003, Relation between climate variability and stream water quality in the continental United States, Hydrological Science and Technology, v. 19, no. 1, 77–98.

Vecchia, A.V., 2003, Water-quality trend analysis and sampling design for streams in North Dakota, 1971–2000: U.S. Geological Survey Scientific Investigations Report 2003–4094, 73 p., accessed August 1, 2012, at http://nd.water.usgs.gov/pubs/wri/wri034094/index.html.

Vecchia, A.V., 2005, Water-quality trend analysis and sampling design for streams in the Red River of the North Basin, Minnesota, North Dakota, and South Dakota, 1970–2001: U.S. Geological Survey Scientific Investigations Report 2005–5224, 54 p. accessed August 1, 2012, at http://pubs.usgs.gov/sir/2005/5224/.

Examples

 ## Not run: 
q05054000.85 <- importDVs("05054000", sdate="1985-10-01", edate="2010-09-30")
anoms05054000.1 <- compAnom(q05054000.85, which=1)
anoms05054000.2 <- compAnom(q05054000.85, which=2)
anoms05054000.3 <- compAnom(q05054000.85, which=3)
anoms05054000.4 <- compAnom(q05054000.85, which=4)
 
## End(Not run)

waterData documentation built on May 2, 2019, 3:38 p.m.