Skip to main content

Person

Matthew C Gyves

Physical Scientist

Email: mgyves@usgs.gov
Office Phone: 610-518-7215
ORCID: 0000-0001-9361-6493

Location
408 Boot Road
Downingtown , PA 19335
US
thumbnail
These datasets were created in support of the U.S. Geological Survey's (USGS) Next Generation Water Observing System (NGWOS) for the Delaware River Basin pilot study (Eberts, Wagner, and Woodside, 2019). The NGWOS utilizes real-time data, improved computational capabilities, and new technologies such as unmanned aerial vehicles (UAV) and autonomous underwater vehicles (AUV) to provide information on water quality and/or quantity, in more locations, quickly and efficiently (Eberts, Wagner, and Woodside, 2019). Combined with advanced modeling applications, the NGWOS will be an important tool for water-resource managers and emergency management. In this study, water-quality and bathymetric data were measured with an...
thumbnail
In cooperation with state and county agencies, including the Chester County Water Resources Authority (CCWRA), the U.S. Geological Survey (USGS) has collected discrete stream samples for analysis of chloride concentrations at three real-time streamflow and water-quality monitoring (specific conductance) stations located in Chester County, Pennsylvania. Data were collected from 2010-2023 at these stations for the application of predicting chloride concentrations using real-time continuous specific conductance and streamflow data. Regression equations were developed by relating discrete-sample chloride and discrete specific conductance data, as well as continuous streamflow data. Regression equations included possible...
thumbnail
Two empirical simple linear regression models were developed from SedCam imagery and concurrent physical sediment samples over a 20-month period at the East Branch Brandywine Creek gage (USGS 01480870). The image files included here are a subset, used in the calibration dataset for these regression models. Models relate the explanatory variable, Rmax (maximum digital number of the red band, which peaks at a wavelength of 590 nanometers) to point and cross-sectional mean sample response variables (milligrams per liter). These regression models predict suspended-sediment concentration from a non-contact sediment surrogate technique to improve surface water monitoring operations. Files include Nikon Electronic Format...
thumbnail
The U.S. Geological Survey (USGS), as part of the Next Generation Water Observing System (NGWOS) has collected discrete stream samples for analysis of suspended-sediment concentrations at eight real-time streamflow and water-quality monitoring (turbidity and suspended sediment) stations located in Pennsylvania, New Jersey, and New York in the Delaware River Basin. Data were collected from 2019-2022 at these stations for the application of predicting suspended-sediment concentrations using real-time continuous turbidity, suspended sediment from an uncalibrated sensor, and streamflow data. Regression equations were developed by relating discrete-sample suspended sediment and continuous turbidity, suspended sediment...
thumbnail
This data release includes one comma delimited table that represents a summary of source and target samples collected for White Clay Creek between 2020 and 2023, in support of sediment fingerprinting modelling. This table contains sediment sample information and results of particle size, elemental composition, and fallout radionuclide analyses. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. First posted - October 18, 2023 (available from author). Revised - March 28, 2024 (version 2.0). This data release has been revised to include data from samples collected in 2023 that were not published in version 1.0.
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.