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Maryland-Delaware-D.C. Water Science Center

Welcome to the USGS Water Science Center serving Maryland, Delaware, and Washington, D.C. We operate streamgages, observation wells, and monitoring stations that provide the reliable scientific information needed to understand our natural world.

News

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USGS Crews Work Fast to Capture Critical Flooding Measurements in the Mid-Atlantic

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Newly Installed Super Gauge Helps USGS Monitor Water Quality, Bacteria Levels in Lower Anacostia River

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USGS Studies Low-Flow Changes in the Delaware River Basin

Publications

Lessons learned from 20 y of monitoring suburban development with distributed stormwater management in Clarksburg, Maryland, USA

Urban development is a well-known stressor for stream ecosystems, presenting a challenge to managers tasked with mitigating its effects. For the past 20 y, streamflow, water quality, geomorphology, and benthic communities were monitored in 5 watersheds in Montgomery County, Maryland, USA. This study presents a synthesis of multiple studies of monitoring efforts in the study area and new analysis o

A borehole test for chlorinated solvent diffusion and degradation rates in sedimentary rock

We present a new field measurement and numerical interpretation method (combined termed ‘test’) to parameterize the diffusion of trichloroethene (TCE) and its biodegradation products (DPs) from the matrix of sedimentary rock. The method uses a dual-packer system to interrogate a low-permeability section of the rock matrix adjacent to a previously contaminated borehole and uses the borehole monitor

Using fish community and population indicators to assess the biological condition of streams and rivers of the Chesapeake Bay watershed, USA

The development of indicators to assess relative freshwater condition is critical for management and conservation. Predictive modeling can enhance the utility of indicators by providing estimates of condition for unsurveyed locations. Such approaches grant understanding of where “good” and “poor” conditions occur and provide insight into landscape contexts supporting such conditions. However, as a

Science

A Field Method to Quantify Chlorinated Solvent Diffusion, Sorption, Abiotic and Biotic Degradation in Low-Permeability Zones

Strategic Environmental Research and Development Program project ER-2533 In chlorinated-solvent-contaminated fractured-sedimentary-rock aquifers, low-permeability (low-K) strata typically act as long-term or secondary sources of contamination to mobile groundwater in the high-permeability fractures. The fate of dissolved trichloroethene (TCE) in the low-K matrix is controlled by abiotic...
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A Field Method to Quantify Chlorinated Solvent Diffusion, Sorption, Abiotic and Biotic Degradation in Low-Permeability Zones

Strategic Environmental Research and Development Program project ER-2533 In chlorinated-solvent-contaminated fractured-sedimentary-rock aquifers, low-permeability (low-K) strata typically act as long-term or secondary sources of contamination to mobile groundwater in the high-permeability fractures. The fate of dissolved trichloroethene (TCE) in the low-K matrix is controlled by abiotic...
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Summarizing Scientific Findings for Common Stakeholder Questions to Inform Nutrient and Sediment Management Activities in the Chesapeake Bay Watershed

Issue: The Chesapeake Bay Program (CBP) partnership is striving to improve water-quality conditions in the Bay by using a variety of management strategies to reduce nutrient and sediment loads. The partnership uses monitoring results and modeling tools to implement management strategies, relying on the scientific community to synthesize existing information and direct new research to address...
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Summarizing Scientific Findings for Common Stakeholder Questions to Inform Nutrient and Sediment Management Activities in the Chesapeake Bay Watershed

Issue: The Chesapeake Bay Program (CBP) partnership is striving to improve water-quality conditions in the Bay by using a variety of management strategies to reduce nutrient and sediment loads. The partnership uses monitoring results and modeling tools to implement management strategies, relying on the scientific community to synthesize existing information and direct new research to address...
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North Atlantic-Appalachian AI/ML Capabilities

Artificial Intelligence (AI) and Machine Learning (ML) includes a broad suite of flexible data-driven empirical approaches to perform tasks that are difficult to implement using conventional methods. AI and ML harness the power of computing resources to evaluate the underlying patterns and relationships within a dataset without explicit instructions. The North Atlantic-Appalachian AI/ML Capability...
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North Atlantic-Appalachian AI/ML Capabilities

Artificial Intelligence (AI) and Machine Learning (ML) includes a broad suite of flexible data-driven empirical approaches to perform tasks that are difficult to implement using conventional methods. AI and ML harness the power of computing resources to evaluate the underlying patterns and relationships within a dataset without explicit instructions. The North Atlantic-Appalachian AI/ML Capability...
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