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This metadata record documents 11 comma delimited tables representing the amount of reported best management practice (BMP) implementation for the years from 1985 to 2014 at three geographic scales: county or land-river modeling segment, River Input Monitoring (RIM) station drainage areas, and the entire Chesapeake Bay Watershed (CBWS). Data originated from the Chesapeake Bay Watershed jurisdictions including Maryland, Pennsylvania, Virginia, Delaware, New York, West Virginia, and the District of Columbia. Data were reported to the Chesapeake Bay Program for an annual review of progress toward meeting nitrogen, phosphorus, and sediment reduction goals.
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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.
From 31 May to 29 June, 2022, a Virginia Tech team of 4-5 sampled the fish community in 30 Delmarva Peninsula streams (Maryland and Delaware, USA) as part of a larger stream-health study including other teams who surveyed geomorphology, water quality, flow, temperature, macroinvertebrates, and fish health at the same 30 streams. These 30 Chesapeake Bay Watershed tributaries had upstream drainage areas of 9 to 54 sq. km. At each stream, we sampled fish from two reaches using two-pass backpack electrofishing and seining. Reach A was the main reach surveyed by all the interdisciplinary teams; Reach B was surveyed for fish communities only. Reach length was 20 wetted channel widths, capped at 150 meters. Fish were identified...
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This metadata record documents 2 comma delimited tables representing output from the Chesapeake Bay Program Phase 5.3.2 Watershed Model. The effect of best management practices (BMP) in 2014 in the Chesapeake Bay Watershed (CBWS) is estimated through a series of model scenarios that isolate the effect of individual BMPs. Data include a table describing the series of isolation scenarios and the summarized output of all scenarios. Scenario output include the estimated nitrogen, phosphorus, and sediment mass reductions for each BMP. Analysis of BMP implementation over time can provide insight to water quality restoration progress.
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This metadata record documents data files, an analysis script, and results from a land-surface greenness analysis of the Tuckahoe Creek watershed, covering parts of Caroline, Queen Anne's and Talbot Counties in Maryland from 1984 to 2017. Included in this record are: 1) 34 raster datasets containing maximum wintertime greenness values on an annual basis from 1984 to 2017, 2) a script used in Google Earth Engine to create the raster datasets, 3) tabular output from vegetation biomass analysis for 1984 to 2017 using a composite cropland layer, 4) a raster of the composite cropland layer, 5) tabular output from vegetation biomass analysis by preceding summer crop type for 2008 to 2017 using year-specific annual cropland...
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This metadata record documents a comma-delimited table representing scenario output from the Chesapeake Bay Program Phase 5.3.2 Watershed Model. The annual effect of best management practices (BMP) on water quality in the Chesapeake Bay Watershed (CBWS) is estimated through a series of model scenarios. The model output data tables for each year from 1985 to 2014 are included with estimated mass of nitrogen, phosphorus, and sediment. Each year has an output table for a “Progress” scenario, which is a model run with all BMPs active, and a “No Action” scenario, which is a model run with all BMPs deactivated. Model output is provided at the Watershed Model land-river segment scale.
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Data release includes the U.S. Geological Survey (USGS) estimate of spring nitrogen fluxes summed from nine tributaries to the Chesapeake Bay from 1985 to 2021. Data are presented as the sum from tributaries within the USGS River Input Monitoring (RIM) network identified by site numbers: 01491000, 01578310, 01594440, 01646580, 01668000, 01673000, 01674500, 02035000, 02041650. Periods of estimation include January through May and November through May. The estimates are made using up-to-date streamflow and all total nitrogen analyses available as of June 1 of the reporting year.


    map background search result map search result map Estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 2014 1) Best management practice implementation in the Chesapeake Bay watershed from 1985 to 2014 3) Annual estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 2014 2) Estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 2014 Landsat-derived wintertime greenness datasets and results from cover crop performance analysis within the Tuckahoe Creek watershed, Maryland, from 1984 to 2017 Nitrogen flux estimates in support of Chesapeake Bay Hypoxia and Anoxia forecasts, 1985-2021 Landsat-derived wintertime greenness datasets and results from cover crop performance analysis within the Tuckahoe Creek watershed, Maryland, from 1984 to 2017 Estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 2014 1) Best management practice implementation in the Chesapeake Bay watershed from 1985 to 2014 2) Estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 2014 Nitrogen flux estimates in support of Chesapeake Bay Hypoxia and Anoxia forecasts, 1985-2021 3) Annual estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 2014