Manya Ruckhaus
Manya is a Hydrologist with the USGS Colorado Water Science Center (COWSC), in Lakewood, CO.
Manya’s work examines the processes that drive changes in stream chemistry and contaminant transport. Her research is primarily focused on water quality and quantity issues in post-fire environments and urban watersheds. She leads the Water Quality Capabilities Team at the USGS Colorado Water Science Center, which aims to advance monitoring, analysis, and communication of emerging and priority contaminants to support science-based decision-making.
Education and Certifications
Master of Science in Geology, University of Vermont, Burlington, VT, 2022
Bachelor of Science in Geology, minor in Mathematics, Western Colorado University, Gunnison, CO, 2019
Science and Products
Characterizing water-quality response after the 2020 Cameron Peak Fire using a novel application of the Weighted Regressions on Time, Discharge, and Season method Characterizing water-quality response after the 2020 Cameron Peak Fire using a novel application of the Weighted Regressions on Time, Discharge, and Season method
The frequency and severity of wildfire activity in the western United States emphasises the utility of hydrologic models to predict water-quality response. This study presents a novel application of the Weighted Regressions on Time, Discharge and Season (WRTDS) method to assess potential changes in water quality in two watersheds draining the North Fork Big Thompson River and Buckhorn...
Authors
Manya Helene Ruckhaus, David W. Clow, Robert M. Hirsch, Tanner William Chapin
Potential climate and human water-use effects on water-quality trends in a semiarid, western U.S. watershed: Fountain Creek, Colorado, USA Potential climate and human water-use effects on water-quality trends in a semiarid, western U.S. watershed: Fountain Creek, Colorado, USA
Nutrients, total dissolved solids (TDS), and trace elements affect the suitability of water for human and natural needs. Here, trends in such water-quality constituents are analyzed for 1999–2022 for eight nested monitoring sites in the 24,000 km2 Fountain Creek watershed in Colorado, USA, by using the weighted regressions on time, discharge, and season (WRTDS) methodology. Fountain...
Authors
Carleton R. Bern, Manya Helene Ruckhaus, Erin K. Hennessy
Non-USGS Publications**
Ruckhaus M, Seybold EC, Underwood KL, Stewart B, Kincaid DW, Shanley JB, Li L and Perdrial JN (2023) Disentangling the responses of dissolved organic carbon and nitrogen concentrations to overlapping drivers in a northeastern United States forested watershed. Front. Water 5:1065300. doi: 10.3389/frwa.2023.1065300
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Estimates of water-quality concentrations from two watersheds affected by the 2020 Cameron Peak Fire in Larimer County, Colorado Estimates of water-quality concentrations from two watersheds affected by the 2020 Cameron Peak Fire in Larimer County, Colorado
This data repository documents the input files, output files, and RStudio scripts used to quantify changes in water-quality concentrations after the 2020 Cameron Peak Fire in the North Fork Big Thompson River and Buckhorn Creek watersheds using the Weighted Regressions on Time, Discharge, and Season (WRTDS) method. A WRTDS model was developed using 12 years of pre-fire data (2008-August...
Science and Products
Characterizing water-quality response after the 2020 Cameron Peak Fire using a novel application of the Weighted Regressions on Time, Discharge, and Season method Characterizing water-quality response after the 2020 Cameron Peak Fire using a novel application of the Weighted Regressions on Time, Discharge, and Season method
The frequency and severity of wildfire activity in the western United States emphasises the utility of hydrologic models to predict water-quality response. This study presents a novel application of the Weighted Regressions on Time, Discharge and Season (WRTDS) method to assess potential changes in water quality in two watersheds draining the North Fork Big Thompson River and Buckhorn...
Authors
Manya Helene Ruckhaus, David W. Clow, Robert M. Hirsch, Tanner William Chapin
Potential climate and human water-use effects on water-quality trends in a semiarid, western U.S. watershed: Fountain Creek, Colorado, USA Potential climate and human water-use effects on water-quality trends in a semiarid, western U.S. watershed: Fountain Creek, Colorado, USA
Nutrients, total dissolved solids (TDS), and trace elements affect the suitability of water for human and natural needs. Here, trends in such water-quality constituents are analyzed for 1999–2022 for eight nested monitoring sites in the 24,000 km2 Fountain Creek watershed in Colorado, USA, by using the weighted regressions on time, discharge, and season (WRTDS) methodology. Fountain...
Authors
Carleton R. Bern, Manya Helene Ruckhaus, Erin K. Hennessy
Non-USGS Publications**
Ruckhaus M, Seybold EC, Underwood KL, Stewart B, Kincaid DW, Shanley JB, Li L and Perdrial JN (2023) Disentangling the responses of dissolved organic carbon and nitrogen concentrations to overlapping drivers in a northeastern United States forested watershed. Front. Water 5:1065300. doi: 10.3389/frwa.2023.1065300
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Estimates of water-quality concentrations from two watersheds affected by the 2020 Cameron Peak Fire in Larimer County, Colorado Estimates of water-quality concentrations from two watersheds affected by the 2020 Cameron Peak Fire in Larimer County, Colorado
This data repository documents the input files, output files, and RStudio scripts used to quantify changes in water-quality concentrations after the 2020 Cameron Peak Fire in the North Fork Big Thompson River and Buckhorn Creek watersheds using the Weighted Regressions on Time, Discharge, and Season (WRTDS) method. A WRTDS model was developed using 12 years of pre-fire data (2008-August...