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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

Microbial community response to a bioaugmentation test to degrade trichloroethylene in a fractured rock aquifer, Trenton, N.J

Bioaugmentation is a promising strategy for enhancing trichloroethylene (TCE) degradation in fractured rock. However, slow or incomplete biodegradation can lead to stalling at degradation byproducts such as 1,2-dichloroethene (cis-DCE) and vinyl chloride (VC). Over the course of 7 years, we examined the response of groundwater microbial populations in a bioaugmentation test where an emulsified veg

A water quality barometer for Chesapeake Bay: Assessing spatial and temporal patterns using long-term monitoring data

This paper develops a barometer that indexes water quality in the Chesapeake Bay and summarizes quality over spatial regions and temporal periods. The barometer has a basis in risk assessment and hydrology, and is a function of three different metrics of water quality relative to numerical criteria: relative frequency of criterion attainment; magnitude of deviation from a numerical criterion; and

Ephemeral stream network extraction from lidar-derived elevation and topographic attributes in urban and forested landscapes

Under-representations of headwater channels in digital stream networks can result in uncertainty in the magnitude of headwater habitat loss, stream burial, and watershed function. Increased availability of high-resolution (

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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