BayStat Solutions Reporting - Maryland Dept. of Natural Resources 2000 - 2014

공공데이터포털

Chesapeake Bay restoration solutions, Best Management Practices (BMPs), progress reporting by tributary basin. Goals are a subset of the overall Environmental Protection Agency (EPA) Total Maximum Daily Load (TMDL).

BayStat Solutions Reporting - Maryland Dept. of Agriculture, 2000 - 2014

공공데이터포털

Chesapeake Bay restoration solutions, Best Management Practices (BMPs), progress reporting by tributary basin. All units in acres unless otherwise noted.

Annual estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 2014

공공데이터포털

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.

Annual estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 2014

공공데이터포털

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.

Best management practice implementation in the Chesapeake Bay watershed from 1985 to 2014

공공데이터포털

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; 1) BMP implementation and definitions, 2) isolation scenarios, and 3) "Progress" and "No Action" scenarios.

Best management practice implementation in the Chesapeake Bay watershed from 1985 to 2014

공공데이터포털

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.

Best management practice implementation in the Chesapeake Bay watershed from 1985 to 2014

공공데이터포털

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.

Best management practice implementation in the Chesapeake Bay watershed from 1985 to 2014

공공데이터포털

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; 1) BMP implementation and definitions, 2) isolation scenarios, and 3) "Progress" and "No Action" scenarios.

Best management practice implementation in the Chesapeake Bay watershed from 1985 to 2014

공공데이터포털

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; 1) BMP implementation and definitions, 2) isolation scenarios, and 3) "Progress" and "No Action" scenarios.

Estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 2014

공공데이터포털

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.