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Data

Estimated Use of Water in the United States County-Level Data for 2015

Water-use estimates for 2015, aggregated to county levels

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MD-DE-DC Groundwater Capabilities

Always start with dependable, reliable data

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Hydrologic data collection, processing, analysis, dissemination, and archiving are major parts of the MD-DE-DC Water Science Center program. Much of the data are available on a near-real-time basis by satellite telemetry.

The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols.

More on data acquisition methods

MD Water Data

MD Surface Water

Explore real-time streamflow, groundwater, and water-quality conditions and access data for Maryland with our new interactive map application. This application offers data displays on multiple device platforms with various basemap options.

See MD Summary

DE Water Data

md.de.dc water dashboard

Explore real-time streamflow, groundwater, and water-quality conditions and access data for Delaware with our new interactive map application. This application offers data displays on multiple device platforms with various basemap options.

See DE Summary

DC Water Data

MD Surface Water

Explore real-time streamflow, groundwater, and water-quality conditions and access data for DC with our new interactive map application. This application offers data displays on multiple device platforms with various basemap options.

See DC Summary
Filter Total Items: 145

Seasonal and Annual Trends in Dynamic SPARROW Predictions of Nitrogen and Phosphorus in Streams of the Conterminous United States, December 1999 through November 2020 Seasonal and Annual Trends in Dynamic SPARROW Predictions of Nitrogen and Phosphorus in Streams of the Conterminous United States, December 1999 through November 2020

Annual and seasonal trends in nitrogen and phosphorus loads, mean concentrations (flow-weighted loads), mean yields (area-weighted loads), and possible related stresses on aquatic ecology were estimated for the period December 1999 through November 2020 for each of 261,247 individual stream reaches and 81,717 12-digit hydrologic units (HUC12s) in the conterminous United States (CONUS)...
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Maryland-Delaware-D.C. Water Science Center

Dynamic SPARROW model application data for seasonal total nitrogen and total phosphorus loads in streams across the conterminous United States, 2000 through 2020 Dynamic SPARROW model application data for seasonal total nitrogen and total phosphorus loads in streams across the conterminous United States, 2000 through 2020

This model application data release contains seasonal source-specific estimates of total nitrogen (TN) and total phosphorus (TP) loading in streams across the conterminous United States (263,494 reaches) for 21 years from 2000 through 2020 using a dynamic SPARROW (SPAtially Referenced Regressions On Watershed attributes) model. All model files are provided to reproduce the output...
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Maryland-Delaware-D.C. Water Science Center

Landscape-Scale Valley Bottom Mapping of the Chesapeake Bay and Delaware River Watersheds, Derived from 2021-2025 10-meter Digital Elevation Models Landscape-Scale Valley Bottom Mapping of the Chesapeake Bay and Delaware River Watersheds, Derived from 2021-2025 10-meter Digital Elevation Models

This dataset includes a shapefile representing river valley bottoms for the Chesapeake Bay watershed (CBW) and Delaware River basin (DRB), and tabular data summarizing river valley confinement for each local National Hydrography Dataset Plus High Resolution (NHDPlusHR) catchment and the upstream area weighted, average accumulation for each catchment. The river valley bottom file was...
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Maryland-Delaware-D.C. Water Science Center

A Generalized Hydrologic Stream Network (GenNet) of the Conterminous United States A Generalized Hydrologic Stream Network (GenNet) of the Conterminous United States

A generalized hydrologic stream network (GenNet) consisting of 263,494 generalized flowlines, inclusive of coastline and terminating flow paths, was constructed for the conterminous United States (CONUS) to support efficient dynamic modeling of nutrient loads, streamflow, and downstream transport of other contaminants in streams. GenNet was generalized from the base network E3NHDPlusV2...
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Maryland-Delaware-D.C. Water Science Center

Bathymetric Model of Lower Darby Creek in Heinz National Wildlife Refuge, Pennsylvania, USA Bathymetric Model of Lower Darby Creek in Heinz National Wildlife Refuge, Pennsylvania, USA

Bathymetric model and associated measurement data for Lower Darby Creek within the Heinz National Wildlife Refuge (NWR) near Philadelphia, Pennsylvania
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Maryland-Delaware-D.C. Water Science Center

Stream Health and Habitat Assessments for Streams in the Maryland-Washington, DC-Virginia Developed Piedmont Region (2024) Stream Health and Habitat Assessments for Streams in the Maryland-Washington, DC-Virginia Developed Piedmont Region (2024)

U. S. Geological Survey (USGS) scientists completed a data collection campaign from the 3rd of June to the 22nd of July in 2024, using various methods to record geomorphic and habitat indicators throughout 30 streams in the Maryland-Washington, DC-Virginia Developed Piedmont region. Field methods included GNSS surveys, gravelometer-based pebble count readings, visual assessments, and...
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Maryland-Delaware-D.C. Water Science Center

Predicted Physical Habitat Metrics for the Chesapeake Bay watershed at the 1:24k scale, 1985-2023 Predicted Physical Habitat Metrics for the Chesapeake Bay watershed at the 1:24k scale, 1985-2023

Degraded physical habitat is a common stressor affecting river ecosystems and a primary focus of management activities, including stream restorations. In order to assess regional conditions and help prioritize management efforts, there is an ongoing need to provide estimates of different aspects of instream physical habitat conditions at spatially continuous scales. We utilized over 16...
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Chesapeake Bay Activities, Maryland-Delaware-D.C. Water Science Center

Results of generalized least-squares (GLS) regression for 63 USGS streamgages in urban areas in Washington D.C. and parts of Delaware, Maryland, New Jersey, Pennsylvania, and Virginia using data through water year 2022 Results of generalized least-squares (GLS) regression for 63 USGS streamgages in urban areas in Washington D.C. and parts of Delaware, Maryland, New Jersey, Pennsylvania, and Virginia using data through water year 2022

This dataset contains results of generalized least-squares (GLS) regression for 63 streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) on urban streams in Washington D.C. and parts of Delaware, Maryland, New Jersey, Pennsylvania, and Virginia. This dataset was created to support the Washington D.C. StreamStats project funded by the Washington D.C...
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Maryland-Delaware-D.C. Water Science Center

Model output and code for a long short-term memory model forecasting streamflow drought across the Conterminous United States by focusing on percentiles below 50 percent Model output and code for a long short-term memory model forecasting streamflow drought across the Conterminous United States by focusing on percentiles below 50 percent

Machine learning (ML) models were used to forecast streamflow drought from 1 to 13 weeks into the future at more than 3,000 streamgage locations across the conterminous United States. Long short-term memory [LSTM] neural network models were used to predict weekly streamflow percentiles with independent models for each forecast horizon. In this data release we specifically include an LSTM...
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Maryland-Delaware-D.C. Water Science Center

Seasonal High Streamflow Generation Regions Model Inputs and Predictions for the Conterminous United States Seasonal High Streamflow Generation Regions Model Inputs and Predictions for the Conterminous United States

This data release contains input data tables and results from analysis to predict seasonal high streamflow generation regions of the conterminous United States. Input data consists of landscape characteristics, climate variables, and streamflow metrics at selected USGS streamflow gages as well as the same landscape characteristics and climate variables at ungaged locations. Results from...
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Maryland-Delaware-D.C. Water Science Center

Applied Biosolids Data Input Summed from Fields to National Hydrography Dataset Plus V2 in Virginia, 2024 Applied Biosolids Data Input Summed from Fields to National Hydrography Dataset Plus V2 in Virginia, 2024

This metadata record contains two tables with reported and calculated amounts of biosolids applied to agricultural land within Virginia in 2024 at different scales. Included in the dataset are (1) mass of land-applied biosolids calculated for NHDPlus Version 2.1 (NHDPlusV2) reach catchments in 2024 as a CSV and (2) reported amount of biosolids applied to land by county in 2024 as a CSV...
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Maryland-Delaware-D.C. Water Science Center

Discharge measurements, air temperature, water temperature, and gage height data for select streams in Maryland-Washington, DC-Virginia developed Piedmont region (2024) Discharge measurements, air temperature, water temperature, and gage height data for select streams in Maryland-Washington, DC-Virginia developed Piedmont region (2024)

As part of a larger study examining stream conditions and the effect of Best Management Practices in the Chesapeake Bay watershed, thirty small streams in the developed Piedmont of Maryland, Washington, DC, and Virginia were instrumented and monitored for gage height (water level), water temperature, and air temperature using Onset HOBO sensors from March to September 2024. In addition...
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Chesapeake Bay Activities, Maryland-Delaware-D.C. Water Science Center
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