Robert M Hirsch
Robert M Hirsch is a Research Hydrologist Emeritus for the USGS Water Resources Mission Area.
EGRET Software
Exploration and Graphics for RivEr Trends (EGRET) is an R package for evaluating long-term changes in river conditions (water quality and discharge). The EGRET user guide provides guidance on installation and use of the software, documentation of the analysis methods used, as well as information about the kinds of questions and approaches that the software can facilitate.
Statistical Methods in Water Resources
An applied statistics textbook for hydrology, environmental science, environmental engineering, geology, or biology that addresses distinctive features of environmental data. The text utilizes R, a programming language and open-source software environment, for all exercises and most graphics, and the R code used to generate figures and examples is provided for download.
My main interest is improving the analysis of hydrologic data, with a focus on the topic of trends in streamflow and trends in surface water quality. My research on this has resulted in the development of the EGRET software (Exploration and Graphics for RivEr Trends) written in R and available freely online.
The focus of my research is the description and understanding of long-term variability and change in surface-water quality and streamflow. I develop and apply new statistical tools to help characterize these changes to gain the best possible understanding of the nature of the change and its implications from a policy perspective (related to water quality improvement, flood hazard mitigation, water supply planning). This work has resulted in the development of the statistical method Weighted Regressions on Time, Discharge, and Season (WRTDS), which I have applied to the study of water quality trends in a variety of watersheds including Chesapeake Bay, the Mississippi River, Lake Erie, and Lake Champlain. This technique is a central feature of the EGRET R package. That package is designed to be a “toolbox” for analysis of daily streamflow data and surface water quality data.
My other major recent contribution is the publication of "Statistical Methods in Water Resources" the 2020 edition published as USGS Techniques and Methods (tm4A3). In addition to the pdf and the printed book, the text has on-line resources which include all of the data sets used as examples in the book, all of the R code used in the analysis of those data, and all of the R code used to produce the graphics in the book.
I hold a B.A. in Geology from Earlham College, an M.S. in Geology from the University of Washington, and a Ph.D. in Geography and Environmental Engineering at the Johns Hopkins University. I began my USGS career in 1976 and conducted research on water supply, water quality, pollutant transport, and flood frequency analysis. In 1993-1994 I was Acting Director of the USGS, and from 1994-2008 I was the Chief Hydrologist of the USGS. In 2008 I returned to research and since that time I have focused efforts on describing long-term changes in streamflow and water quality. I retired from the USGS in 2018 but continue to collaborate with colleagues inside and outside the USGS. I am a member of the Water Science and Technology Board of the NASEM and have served on four expert committees of that Board.
Science and Products
Evaluating chloride trends due to road-salt use and its impacts on water quality and aquatic organisms
Transport of dissolved organic matter by river networks from mountains to the sea: a re-examination of the role of flow across temporal and spatial scales
Flux of Nitrogen, Phosphorous, and Suspended Sediment from the Susquehanna River Basin to the Chesapeake Bay During Tropical Storm Lee, September 2011, as in Indicator of the Effects of Reservoir Sedimentation on Water Quality
Statistical Methods in Water Resources - Supporting Materials
Low-streamflow and precipitation trends for 183 U.S. Geological Survey streamgages in the Chesapeake Bay Watershed
Trends in 7-day-low streamflows at 174 USGS streamflow gages in the Chesapeake Bay watershed, Mid-Atlantic U.S.
Low-streamflow trends and basin characteristics for 2,482 U.S. Geological Survey streamgages in the conterminous U.S.
Water-quality trends and trend component estimates for the Nation's rivers and streams using Weighted Regressions on Time, Discharge, and Season (WRTDS) models and generalized flow normalization, 1972-2012
Long-term mercury loading and trapping dynamics in a Western North America reservoir
Growth of coal mining operations in the Elk River Valley (Canada) linked to increasing solute transport of Se, NO3-, and SO42- into the transboundary Koocanusa Reservoir (USA-Canada)
The occurrence of large floods in the United States in the modern hydroclimate regime: Seasonality, trends, and large-scale climate associations
Substantial declines in salinity observed across the Upper Colorado River Basin during the 20th century, 1929 to 2019
Statistical methods in water resources
Spatial and temporal patterns of low streamflow and precipitation changes in the Chesapeake Bay Watershed
Low streamflow trends at human-impacted and reference basins in the United States
River water-quality concentration and flux estimation can be improved by accounting for serial correlation through an autoregressive model
Accurate quantification of riverine water‐quality concentration and flux is challenging because monitoring programs typically collect concentration data at lower frequencies than discharge data. Statistical methods are often used to estimate concentration and flux on days without observations. One recently developed approach is the Weighted Regressions on Time, Discharge, and Season (WRTDS), which
An evaluation of methods for computing annual water-quality loads
Updating estimates of low-streamflow statistics to account for possible trends
Phosphorus and the Chesapeake Bay: Lingering issues and emerging concerns for agriculture
Tracking changes in nutrient delivery to western Lake Erie: Approaches to compensate for variability and trends in streamflow
WRTDSplus: Extensions to the WRTDS method.
EGRET
dataRetrieval
Science and Products
Evaluating chloride trends due to road-salt use and its impacts on water quality and aquatic organisms
Transport of dissolved organic matter by river networks from mountains to the sea: a re-examination of the role of flow across temporal and spatial scales
Flux of Nitrogen, Phosphorous, and Suspended Sediment from the Susquehanna River Basin to the Chesapeake Bay During Tropical Storm Lee, September 2011, as in Indicator of the Effects of Reservoir Sedimentation on Water Quality
Statistical Methods in Water Resources - Supporting Materials
Low-streamflow and precipitation trends for 183 U.S. Geological Survey streamgages in the Chesapeake Bay Watershed
Trends in 7-day-low streamflows at 174 USGS streamflow gages in the Chesapeake Bay watershed, Mid-Atlantic U.S.
Low-streamflow trends and basin characteristics for 2,482 U.S. Geological Survey streamgages in the conterminous U.S.
Water-quality trends and trend component estimates for the Nation's rivers and streams using Weighted Regressions on Time, Discharge, and Season (WRTDS) models and generalized flow normalization, 1972-2012
Long-term mercury loading and trapping dynamics in a Western North America reservoir
Growth of coal mining operations in the Elk River Valley (Canada) linked to increasing solute transport of Se, NO3-, and SO42- into the transboundary Koocanusa Reservoir (USA-Canada)
The occurrence of large floods in the United States in the modern hydroclimate regime: Seasonality, trends, and large-scale climate associations
Substantial declines in salinity observed across the Upper Colorado River Basin during the 20th century, 1929 to 2019
Statistical methods in water resources
Spatial and temporal patterns of low streamflow and precipitation changes in the Chesapeake Bay Watershed
Low streamflow trends at human-impacted and reference basins in the United States
River water-quality concentration and flux estimation can be improved by accounting for serial correlation through an autoregressive model
Accurate quantification of riverine water‐quality concentration and flux is challenging because monitoring programs typically collect concentration data at lower frequencies than discharge data. Statistical methods are often used to estimate concentration and flux on days without observations. One recently developed approach is the Weighted Regressions on Time, Discharge, and Season (WRTDS), which