#THE REFERENCE MINER EGRET SERIAL#
#THE REFERENCE MINER EGRET SOFTWARE#

Beck, Marcus W, James D Hagy, and Michael C Murrell.

“Adaptation of a Weighted Regression Approach to Evaluate Water Quality Trends in an Estuary.” Environmental Modeling & Assessment 20 (6): 637–55. “Toward explaining nitrogen and phosphorus trends in Chesapeake Bay tributaries, 1992–2012.” JAWRA Journal of the American Water Resources Association 55, no.

Ator, Scott W., Ana Maria García, Gregory E.

“Reducing Bias and Quantifying Uncertainty in Watershed Flux Estimates: The R Package Loadflex.” Ecosphere 6 (12): 1–25.

Appling, Alison P, Miguel C Leon, and William H McDowell.

#THE REFERENCE MINER EGRET SERIAL#

“River water‐quality concentration and flux estimation can be improved by accounting for serial correlation through an autoregressive model.” Water Resources Research 55, no. “Nitrate in the Mississippi River and Its Tributaries, 1980 to 2008: Are We Making Progress?” Environmental Science & Technology 45 (17): 7209–16.

“Weighted Regressions on Time, Discharge, and Season (WRTDS), with an Application to Chesapeake Bay River Inputs1.” JAWRA Journal of the American Water Resources Association 46 (5): 857–80. “User Guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R Packages for Hydrologic Data.” US Geological Survey, Techniques and Methods, No. 4-A10, 93 p. Hirsch, Robert M, and Laura A De Cicco.

#THE REFERENCE MINER EGRET SOFTWARE#

“A Bootstrap Method for Estimating Uncertainty of Water Quality Trends.” Environmental Modelling & Software 73: 148–66.

Hirsch, Robert M, Stacey A Archfield, and Laura A De Cicco.

“Tracking Changes in Nutrient Delivery to Western Lake Erie: Approaches to Compensate for Variability and Trends in Streamflow.” Journal of Great Lakes Research 45 (1): 21–39.

Choquette, Anne F, Robert M Hirsch, Jennifer C Murphy, LT Johnson, and RB Confesor Jr. 2019.

In a few cases these are just single sites but in most are based on a group of sites covering a region or even the entire United States. Regional Studies Using WRTDS: These are all papers that apply the WRTDS to the evaluation of conditions over a collection of monitoring sites. The list also includes papers that make comparisons between WRTDS and other statistical methods commonly used with river water quality data.

The methods described are all included either in the EGRET or EGRETci packages or in additional R scripts that can be found under the “Articles” menu of the EGRET home page ( ).Įxtending and Evaluating WRTDS: These are papers in which extensions have been made of the basic WRTDS methods to bring in other types of information or to provide other types of outputs. They cover a 10-year period (2010-2019) of development and enhancements of the method. The WRTDS Method: These are papers that define and explain aspects of the WRTDS methods written by members of the team that has developed the method and the related EGRET R-package (Exploration and Graphics for RivEr Trends). This bibliography is organized in three sections: Publications that reference WRTDS-related papers, but don’t use the method are not included. The publications included here are those that develop or use WRTDS. It includes papers in scientific journals and government agency reports but not theses or dissertations or published drafts of government reports. This is a bibliography of published works that develop or use Weighted Regressions on Time, Discharge, and Season (WRTDS).

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