Publications
The following list of publications represents works affiliated with the USGS Maryland-Delaware-District of Columbia Water Science Center, spanning from 1883 to present day, including both official USGS publications and journal articles authored by our scientists. To access the full, searchable catalog of USGS publications, please visit the USGS Publications Warehouse at the link below.
Filter Total Items: 234
Predictive modeling reveals elevated conductivity relative to background levels in freshwater tributaries within the Chesapeake Bay watershed, USA
Elevated conductivity (i.e., specific conductance or SC) causes osmotic stress in freshwater aquatic organisms and may increase the toxicity of some contaminants. Indices of benthic macroinvertebrate integrity have declined in urban areas across the Chesapeake Bay watershed (CBW), and more information is needed about whether these declines may be due to elevated conductivity. A predictive SC model
Authors
R. Fanelli, Joel Moore, Charles C. Stillwell, Andrew Sekellick, Richard Walker
Seasonally varying contributions of contemporaneous and lagged sources of instream total nitrogen and phosphorus load across the Illinois River basin
Quantifying nutrient sources in streams, their temporal and spatial variability, and drivers of that variability can support effective water resources management. Yet a lack of data and modeling capabilities has previously prevented comprehensive quantification across both space and time. Here a dynamic SPARROW (Spatially Referenced Regressions on Watershed attributes) model that accounts for a la
Authors
Noah Schmadel, Olivia L. Miller, Scott Ator, Matthew P. Miller, Gregory E. Schwarz, Dale M. Robertson, Andrew Sekellick, Kenneth Skinner, David A. Saad
A spatial machine learning model developed from noisy data requires multiscale performance evaluation: Predicting depth to bedrock in the Delaware River Basin, USA
Spatial machine learning models can be developed from observations with substantial unexplainable variability, sometimes called ‘noise’. Traditional point-scale metrics (e.g., R2) alone can be misleading when evaluating these models. We present a multi-scale performance evaluation (MPE) using two additional scales (distributional and geostatistical). We apply the MPE framework to predictions of de
Authors
Phillip J. Goodling, Kenneth Belitz, Paul Stackelberg, Brandon Fleming
Remotely mapping gullying and incision in Maryland Piedmont headwater streams using repeat airborne lidar
Headwater streams can contribute significant amounts of fine sediment to downstream waterways, especially when severely eroded and incised. Potential upstream sediment source identification is crucial for effective management of water quality, aquatic habitat, and sediment loads in a watershed. This study explored topographic openness (TO) derived from 1-m lidar for its ability to predict incision
Authors
Marina Metes, Andrew J. Miller, Matthew E. Baker, Kristina G. Hopkins, Daniel Jones
Monitoring of wave, current, and sediment dynamics along the Fog Point Living Shoreline, Glenn Martin National Wildlife Refuge, Maryland
Living shorelines with salt marsh species, rock breakwaters, and sand nourishment were built along the coastal areas in the Glenn Martin National Wildlife Refuge, Maryland, in 2016 in response to Hurricane Sandy (2012). The Fog Point living shoreline at Glenn Martin National Wildlife Refuge was designed with the “headland - breakwater - embayment” pattern. Scientists from the U.S. Geological Surve
Authors
H. Wang, Q. Chen, W.D. Capurso, N. Wang, L.M. Niemoczynski, M. Whitbeck, L. Zhu, G.A. Snedden, C.A. Wilson, M.S. Brownley
Legacy sediment as a potential source of orthophosphate: Preliminary conceptual and geochemical models for the Susquehanna River, Chesapeake Bay watershed, USA
Nutrient pollution from agriculture and urban areas plus acid mine drainage (AMD) from legacy coal mines are primary causes of water-quality impairment in the Susquehanna River, which is the predominant source of freshwater and nutrients entering the Chesapeake Bay. Recent increases in the delivery of dissolved orthophosphate (PO4) from the river to the bay may be linked to long-term increases in
Authors
Charles A. Cravotta, Travis L. Tasker, Peter M. Smyntek, Joel Blomquist, John Clune, Qian Zhang, Noah Schmadel, Natalie Katrina Schmer
Your land, your water—Using research to guide conservation practices on local farms in the Chesapeake Bay watershed
Agricultural lands are an important part of the economy and heritage of the Chesapeake Bay watershed and are a focus of conservation activities. Streams and rivers around farms provide communities with drinking water and recreational opportunities, but these local benefits can be impaired by elevated nutrient and sediment concentrations. Compared to inputs from the atmosphere, wastewater, and urba
Authors
James S. Webber, John W. Clune, Alexander M. Soroka, Kenneth Hyer
Thirty years of regional groundwater-quality trend studies in the United States: Major findings and lessons learned
Changes in groundwater quality have been evaluated for more than 2,200 wells in 25 Principal Aquifers in the United States based on repeated decadal sampling (once every 10 years) from 1988 to 2021. The purpose of this study is to identify contaminants with changing concentrations, the locations and magnitude of those changes, the factors driving those changes, the obstacles to interpreting the ch
Authors
Bruce D. Lindsey, Brandon Fleming, Phillip J. Goodling, Amanda Nicole May
CONUS404: The NCAR-USGS 4-km long-term regional hydroclimate reanalysis over the CONUS
A unique, high-resolution, hydroclimate reanalysis, 40-plus-year (October 1979–September 2021), 4 km (named as CONUS404), has been created using the Weather Research and Forecasting Model by dynamically downscaling of the fifth-generation European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric reanalysis of the global climate dataset (ERA5) over the conterminous United States. The p
Authors
R. M. Rasmussen, F. Chen, C. H. Liu, K. Ikeda, A. Prein, J. Kim, T. Schneider, A. Dai, D. Gochis, A. Dugger, Y. Zhang, A. Jaye, J. Dudhia, C. He, M. Harrold, L. Xue, S. Chen, A. Newman, E. Dougherty, R. Abolafia-Rozenzweig, N. Lybarger, Roland J. Viger, David P. Lesmes, Katherine Skalak, John Brakebill, Donald Walter Cline, Krista A. Dunne, K. Rasmussen, G. Miguez-Macho
River water quality in the Delaware River Basin—Concentrations and trends through 2018
IntroductionThe Delaware River Basin provides drinking water to 13.3 million people and supports endangered species, provides recreational opportunities, and is an essential resource to regional industries. The efforts of Federal and State governments have substantially improved overall water quality in the basin, which had been severely degraded prior to the mid-20th century. Recent trend analyse
Authors
Megan E. Shoda, Emily G Gain, Jennifer C. Murphy
Progress in reducing nutrient and sediment loads to Chesapeake Bay: Three decades of monitoring data and implications for restoring complex ecosystems
For over three decades, Chesapeake Bay (USA) has been the focal point of a coordinated restoration strategy implemented through a partnership of governmental and nongovernmental entities, which has been a classical model for coastal restoration worldwide. This synthesis aims to provide resource managers and estuarine scientists with a clearer perspective of the magnitude of changes in water qualit
Authors
Qian Zhang, Joel Blomquist, Rosemary M. Fanelli, Jennifer L. Keisman, Doug L. Moyer, Michael J. Langland
Estimated reduction of nitrogen in streams of the Chesapeake Bay in areas with agricultural conservation practices
Spatial data provided by the U.S. Department of Agriculture National Resource Conservation Service representing implementation at the field-level for a selection of agricultural conservation practices were incorporated within a spatially referenced regression model to estimate their effects on nitrogen loads in streams in the Chesapeake Bay watershed. Conservation practices classified as “high-imp
Authors
Andrew Sekellick, Scott Ator, Olivia Devereux, Jennifer L. Keisman