Filters: Tags: sediment sources (X)
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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...
This dataset describes field-measured qualitative stream channel characteristics indicative of incision and remotely-measured predictions of channel incision from lidar in three headwater streams in the Piedmont physiographic region of Maryland. The files within the field-measured channel incision folder include 1) a point file of original survey locations with a description of channel characteristics and 2) a stream network file with the field-surveyed degree of channel incision classified by stream reach. The file within the model-predicted channel incision folder includes stream networks for each watershed, and the incision prediction from lidar for the years 2002, 2008, 2013, and 2018.
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.
A study examining the sources and ages of fine-grained bed material (<0.063 mm) was conducted for 99 sites in the USGS NAWQA Midwest Stream Quality Assessment (MSQA) during the summer of 2014, including 15 suspended sediment and 5 cropland top soil samples. Bed material samples were analyzed for radionuclides (7Be, 210Pbex, 137Cs) and pesticides (bifenthrin and DDE); suspended sediment for radionuclides (7Be, 210Pbex, 137Cs): and cropland top soil was analyzed for 210Pbex and 137Cs. Data set includes only those data specifically discussed in a Journal of Environmental Management entitled, Sources and ages of fine-grained sediment to streams using fallout radionuclides in the Midwestern United States, by Allen C....
Input data on watershed drainage area characteristics and stream reach geomorphometry for statistical modeling of floodplains, streambanks, and streambeds in the Chesapeake Bay and Delaware River watersheds of the U.S. Mid-Atlantic. Characteristics include selected upstream accumulated attributes (with divergence routing) describing geology, topography, soils, hydrology, and land use for each NHDPlusV2 stream reach from Wieczorek et al. (2018), and the geomorphometry of the local stream reach summarized from Hopkins et al. (2020). These potential predictors were tested for incorporation into Random Forest statistical models to explain and predict spatial variation in floodplain and streambank flux of sediment, fine...
This metadata record documents a single comma delimited table that contains information on the elemental composition and particle size distribution of sediments within Jones Falls watershed in Baltimore, Maryland.
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