Rebecca B Carvin
Rebecca Carvin is a Physical Scientist with the Upper Midwest Water Science Center.
Rebecca Carvin earned a B.S. in Environmental Geology from Beloit College, WI, and an M.S. in Water Resources Management (Hydrology) from the University of Wisconsin-Madison. She began her career with the USGS in 2006 as a hydrologic technician for the nonpoint studies team working on the Upper Pecatonica River Wisconsin Buffer Initiative pilot Project (WBI). In 2008 she finished her master’s thesis on the WBI and started as a physical scientist for the Survey. Now on the Water Quality Networks and Assessments team, she contributes to studies in stream water quality in urban and agricultural watersheds.
CURRENT PROJECTS
- Great Lakes Water Authority – Regional Water Quality Monitoring Program
- Edge-of-field monitoring: Great Lakes Restoration Initiative (GLRI)
- Long-term calibration of Source Loading and Management Model (SLAMM) for the State of Wisconsin
Professional Experience
Physical Scientist, U.S. Geological Survey, Upper Midwest Water Science Center, Madison, WI, 2008 to present
Hydrologic Technician, U.S. Geological Survey, Wisconsin Water Science Center, Middleton, WI 2006 to 2008
Education and Certifications
M.S. 2008, Water Resources Management – University of Wisconsin at Madison
B.S. 2005, Major: Environmental Geology, Minor: Biology – Beloit College, WI
Science and Products
Seasonal variation in sediment and phosphorus yields in four Wisconsin agricultural watersheds
Testing a two-scale focused conservation strategy for reducing phosphorus and sediment loads from agricultural watersheds
Predicting recreational water quality advisories: A comparison of statistical methods
Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk
Virtual Beach 3: user's guide
Developing and implementing the use of predictive models for estimating water quality at Great Lakes beaches
Predictive models have been used at beaches to improve the timeliness and accuracy of recreational water-quality assessments over the most common current approach to water-quality monitoring, which relies on culturing fecal-indicator bacteria such as Escherichia coli (E. coli.). Beach-specific predictive models use environmental and water-quality variables that are easily and quickly measured as s
Great Lakes Water Authority Detroit Regional Water Quality Monitoring Program
Edge-of-field monitoring: Great Lakes Restoration Initiative (GLRI)
Upper Pecatonica River Wisconsin Buffer Initiative pilot project
WinSLAMM (Source Loading And Management Model): An urban area nonpoint source water-quality model for Wisconsin
Nutrient and sediment concentrations, loads, yields, and rainfall characteristics collected at a USGS subsurface-tile edge-of-field agricultural monitoring site in South Central Michigan within the Maumee River Basin, 2019-2023
Total phosphorus and total dissolved phosphorous released from Green Ash (Fraxinus pennsylvanica) and Norway Maple (Acer platanoides) as they contribute to leachable phosphorus in leaf litter and impact phosphorus loads in urban stormwater
Storm event data in the control and test catchments during the calibration and treatment phase of a urban tree canopy study in Fond du Lac, Wisconsin, from May 2018 through September 2020: U.S. Geological Survey data release
Stormwater-quality data in the control and test catchments during the calibration and treatment phase of a leaf collection study in Madison, Fond du Lac, and Oshkosh, WI, from September 2016 through November 2019
Stormwater-quality data for lined permeable pavement systems in Madison, WI, from September 2016 through July 2018
Paired Watershed Data for Pleasant Valley Creek and Ridgeway Branch, Wisconsin 2006-2015
Science and Products
Seasonal variation in sediment and phosphorus yields in four Wisconsin agricultural watersheds
Testing a two-scale focused conservation strategy for reducing phosphorus and sediment loads from agricultural watersheds
Predicting recreational water quality advisories: A comparison of statistical methods
Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk
Virtual Beach 3: user's guide
Developing and implementing the use of predictive models for estimating water quality at Great Lakes beaches
Predictive models have been used at beaches to improve the timeliness and accuracy of recreational water-quality assessments over the most common current approach to water-quality monitoring, which relies on culturing fecal-indicator bacteria such as Escherichia coli (E. coli.). Beach-specific predictive models use environmental and water-quality variables that are easily and quickly measured as s