Filters: partyWithName: Maryland-Delaware-D.C. Water Science Center (X) > partyWithName: Andrew J Sekellick (X)
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These data represent input and estimates from a medium-resolution (1:100,000 scale) NHDPlus SPAtially Referenced Regression on Watershed attributes (SPARROW) model for the Chesapeake Bay watershed (CBSS_v2). The model spatially correlates long-term mean annual suspended-sediment flux in 113 non-tidal streams to likely upland and stream-corridor sources, landscape factors affecting upland sediment transport and delivery to stream corridors, and fluvial and reservoir retention representing the early 2000 time period. The item COMID is a common related field between the data file and the spatial component (catchments) in NHDPlus version 1.0.
Categories: Data;
Tags: "Chesapeake Bay",
"SPARROW Model",
"Sediment Load",
"Sediment Sources",
"Sediment Yield",
This metadata record documents 3 sets of comma delimited tables representing the amount of reported best management practice (BMP) implementation within the Chesapeake Bay watershed as well as output data from scenarios of the Chesapeake Bay Program Phase 5.3.2 Watershed Model. The scenario data were used to estimate the effects of BMPs on water quality. The data are organized by three themes (child items below); 1) BMP implementation and definitions, 2) isolation scenarios, and 3) "Progress" and "No Action" scenarios.
This data release contains mean-annual total nitrogen (TN) loads predicted by a SPARROW model for individual stream and shoreline reaches in the Chesapeake watershed as defined by NHDPlus, a 1:100,000 scale representation of stream hydrography built upon the National Hydrography Dataset (NHD) (Horizon Systems, 2010). Also included are the input variables required to execute the model, including landscape characteristics, nutrient inputs to land, and calibration data from water quality monitoring stations. Further details on model construction and results are described in Ator (2011, https://doi.org/10.3133/sir20115167).
Categories: Data;
Tags: Delaware,
Maryland,
New York,
Pennsylvania,
USGS Science Data Catalog (SDC),
Implementation of conservation tillage and cover crops in the Chesapeake Bay watershed, 1985 to 2012
Conservation tillage practices and cover crops are used throughout the Chesapeake Bay watershed to reduce soil loss and improve water quality. Implementation of these Best Management Practices (BMPs) were reported to the Chesapeake Bay Program (CBP) by each state in the watershed (New York, Pennsylvania, Maryland, Delaware, West Virginia, and Virginia). Estimates of acres of implementation per CBP land river modeling segment for the years 1985 through 2014 were provided to the U.S. Geological Survey. These data were distributed to agricultural land use cells in the National Land Cover Dataset (NLCD) dataset and summed for National Hydrography Dataset (NHD) Plus version 1 catchments to provide estimates of implementation...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Environmental Health,
Geography,
USGS Science Data Catalog (SDC),
Water Quality
This dataset contains four tables of estimates of the yearly sum of nitrogen and phosphorus inputs from fertilizer applications and from manure applications in selected watersheds in Chesapeake Bay drainage basin from 1950 to 2012. For the fertilizer data, county-level loads were used from three published sources. Data from 1950 to 1985 are from Alexander and Smith (1990). Data for the year 1986 are from Battaglin and Goolsby (1995). Data from 1987 through 2012 are from Brakebill, Gronberg, and Spahr (2016). These data were used in conjunction with 30-meter resolution land cover data from the National Land Cover Dataset for the year 2001 to distribute county-level fertilizer loads to cropland and summed by NHDPlus...
Categories: Data;
Tags: Geography,
Land Use Change,
USGS Science Data Catalog (SDC),
Water Quality,
Water Resources
This data release contains input and output data tables from a SPAtially Referenced Regression On Watershed attributes (SPARROW) model, which estimated total nitrogen loads in streams of the Chesapeake Bay watershed under varying better management practice implementation scenarios. Further documentation about the SPARROW modeling framework can be found here: https://pubs.er.usgs.gov/publication/tm6B3. A model archive containing inputs, outputs, code, and helpful spatial data is also included as a zipped folder. This model archive can be used to recreate the output provided in this data release. The model archive includes a read me text file that documents the contents of the archive and how it can be used. SPARROW_Inputs.csv...
This data release includes 5 files containing model inputs and resulting model predictions. A previously-calibrated spatially referenced regression (SPARROW) model was used to estimate effects of climate change on in-stream nitrogen (TN) loads in the Chesapeake Bay watershed between 1995 and 2025. Model scenarios were run using data for nitrogen sources and landscape characteristics from 2012, changing only temperature and runoff using climate change predictions to evaluate the change in climate on TN loads. Confidence intervals for model output predictions are also included.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake Bay,
Hydrology,
USGS Science Data Catalog (SDC),
Water Quality,
Water Resources,
High frequency estimated chloride (Cl) and observed specific conductance (SC) data sets, along with response variables derived from those data sets, were used in an analysis to quantify the extent to which deicer applications in winter affect water quality in 93 U.S. Geological Survey water quality monitoring stations across the eastern United States. The analysis was documented in the following publication: Moore, J., Fanelli, R.M., and Sekellick, A.J., in review, high frequency data reveal deicing salts drive elevated conductivity and chloride along with pervasive and frequent exceedances of the EPA aquatic life criteria for chloride in urban streams. Submitted to Environmental Science and Technology. This data...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chloride,
Deicers,
Environmental Health,
Hydrology,
Land Use Change,
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