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The USGS and Virginia Tech are determining if and how the implementation of conservation practices, such as best management practices (BMPs), in watersheds have improved the health of Chesapeake nontidal streams. Our goal is to identify the effects of BMPs and land-use on stream ecosystems by linking upstream landscape change to stream physical habitat, water quality, flow and temperature, and macroinvertebrate and fish responses. We are also determining the specific sources of stress to streams and fish populations to help identify which management practices are most likely to improve stream health. Each year from 2021 to 2024 we study a different Chesapeake landscape setting that is a focus area for stakeholders...
The data presented in this data release includes 11 field/water quality parameters, concentrations of 16 nutrients/anions, dissolved organic carbon, 14 organic contaminants, net estrogenicity concentrations, and 51 inorganic constituents in surface water collected twice from 28 stream sites and collected once from 2 stream sites in the Shenandoah Valley (Virginia and West Virginia, USA), in the summer of 2021 (Table_1_Sites and Table_2_Methods). The estrogenicity, inorganic, and organic chemical characteristics of river waters were analyzed using 19 separate analytical methods at 5 laboratories (Table_2_Methods). Surface water was analyzed for water quality and nutrients (Table_3_WQ_Nutrients_Anions_DOC), toxic...
Input predictor variables and output predictions from statistical modeling of floodplains, streambanks, and streambeds for each NHDPlusV2 stream reach in the Chesapeake Bay and Delaware River watersheds of the U.S. Mid-Atlantic. Random Forest statistical models using either 1) characteristics of upstream drainage area, or 2) characteristics of upstream drainage area (Wieczorek et al. 2018, https://doi.org/10.5066/f7765d7v) and reach geomorphometry (Hopkins et al. 2020, https://doi.org/10.5066/P9RQJPT1), were used to explain and predict spatial variation in measured floodplain and streambank flux of sediment, fine sediment, sediment-C, sediment-N, and sediment-P and rates of geomorphic change, and streambed sediment...
Predictions from statistical modeling of floodplains, streambanks, and streambeds in the Chesapeake Bay and Delaware River watersheds of the U.S. Mid-Atlantic. Random Forest statistical models using either 1) characteristics of upstream drainage area, or 2) characteristics of upstream drainage area (Wieczorek et al. 2018, https://doi.org/10.5066/f7765d7v) and reach geomorphometry (Hopkins et al. 2020, https://doi.org/10.5066/P9RQJPT1), were used to explain and predict spatial variation in measured floodplain and streambank flux of sediment, fine sediment, sediment-C, sediment-N, and sediment-P and rates of geomorphic change, and streambed sediment characteristics (d50, cover by fine sediment, cover by fine and sand...
Data on changing hydrogeomorphic characteristics along river gradients from nontidal through tidal freshwater to oligohaline reaches along the Mattaponi and Pamunkey Rivers, Virginia. Shapefile data include location and elevation profiles of the river valleys along multiple digital cross-sections from lidar digital elevation models, satellite visible imagery, and geographic information system analysis. These data were used to help interpret fundamental changes in regime along rivers as they transition from watersheds into the coastal zone.
Dataset includes site averages of measurements of floodplain and streambank sediment physico-chemistry and long-term (dendrogeomorphic) vertical and lateral geomorphic change, and reach scale floodplain width, streambank height, channel width, and streambed particle size. This information was used to calculate fluxes of sediment, fine sediment, sediment-C, sediment-N, and sediment-C of floodplains and of streambanks at each site. Sixty-eight sites were sampled in the USGS Chesapeake and Delaware Floodplain Network. Sites were chosen to have largely unmodified geomorphology, permission to access, and presence of woody vegetation to enable the dendrogeomorphic technique.
Each year from 2021-2024, teams from the US Geological Survey and Virginia Tech studied 30 streams with a targeted gradient of land use and conservation practices across the Chesapeake Bay Watershed. The four years of the study cover the following geographic areas and land use characteristics: -Shenandoah Valley and Ridge pasture -Delmarva row crop -Pennsylvania and Maryland Piedmont mixed agriculture -Maryland-Washington, DC-Virginia developed Piedmont The data here provide site names and basic identifiers that are commonly used in the many data releases associated with the larger Chesapeake Stream Team study and serve as a key to match site ID with locations and data. Please note that all site locations are identified...
This data release contains the concentration and quality assurance results for for 29 streams, sampled twice, and 1 stream sampled once at stream sites in the Chesapeake Bay Delmarva row crop region (Maryland and Delaware, USA) for the following constituent classes (count of constituents); field and water-quality parameters (9), nutrients/anions (13), dissolved organic carbon (1), per- and ployfluoroalkyl substances (PFAS) (34), assorted aqueous hazards (52), net estrogenicity (1), and major cations and trace elements (55). Samples were collected between May and July 2022. PFAS, nutrient, and water-quality constituents were analyzed at the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) Denver,...
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