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Publications

New Jersey Water Science Center scientists have produced over 1,300 publications that are registered in the USGS Publications Warehouse, along with many others prior to their work at the USGS or in conjunction with other government agencies. Journal articles and conference proceedings are also available. 

Filter Total Items: 446

Mercury concentrations in water from an unconfined aquifer system, New Jersey coastal plain Mercury concentrations in water from an unconfined aquifer system, New Jersey coastal plain

Concentrations of total mercury (Hg) from 2 μg/L (the USEPA maximum contaminant level) to 72 μg/L in water from about 600 domestic wells in residential parts of eight counties in southern New Jersey have been reported by State and county agencies. The wells draw water from the areally extensive (7770 km2) unconfined Kirkwood–Cohansey aquifer system, in which background concentrations of...
Authors
J. L. Barringer, Zoltan Szabo, L. J. Kauffman, T. H. Barringer, P. E. Stackelberg, T. Ivahnenko, S. Rajagopalan, D. P. Krabbenhoft

Pesticide compounds in streamwater in the Delaware River Basin, December 1998-August 2001 Pesticide compounds in streamwater in the Delaware River Basin, December 1998-August 2001

During 1998-2001, 533 samples of streamwater at 94 sites were collected in the Delaware River Basin in Pennsylvania, New Jersey, New York, and Delaware as part of the U.S. Geological Survey National Water-Quality Assessment Program. Of these samples, 531 samples were analyzed for dissolved concentrations of 47 pesticide compounds (43 pesticides and 4 pesticide degradation products); 70...
Authors
R. Edward Hickman

Water resources data, New Jersey, water year 2004--volume 3. water-quality data Water resources data, New Jersey, water year 2004--volume 3. water-quality data

No abstract available.
Authors
Michael J. DeLuca, Heather A. Heckathorn, Jason M. Lewis, Bonnie J. Gray, Emma-Lynn Melvin, Melissa L. Riskin, Nicholas A. Liu

Water Resources Data, New Jersey, Water Year 2003; Volume 3. Water-Quality Data Water Resources Data, New Jersey, Water Year 2003; Volume 3. Water-Quality Data

Water-resources data for the 2003 water year for New Jersey are presented in three volumes, and consists of records of stage, discharge, and water-quality of streams; stage and contents of lakes and reservoirs; and water levels and water-quality of ground water. Volume 3 contains a summary of surface- and ground-water hydrologic conditions for the 2003 water year, a listing of current...
Authors
Michael J. DeLuca, Heidi L. Hoppe, Heather A. Heckathorn, Melissa L. Riskin, Bonnie J. Gray, Emma-Lynn Melvin, Nicholas A. Liu

Laboratory comparison of polyethylene and dialysis membrane diffusion samplers Laboratory comparison of polyethylene and dialysis membrane diffusion samplers

The ability of diffusion samplers constructed from regenerated cellulose dialysis membrane and low density, lay flat polyethylene tubing to collect volatile organic compounds and inorganic ions was compared in a laboratory study. Concentrations of vinyl chloride, cis‐1, 2‐dichloroethene, bromochloromethane, trichloroethene, bromodichloromethane, and tetrachloroethene collected by both...
Authors
Theodore A. Ehlke, Thomas E. Imbrigiotta, Jeffrey M. Dale

Water Resources Data, New Jersey, Water Year 2003 - Volume 2. Ground-Water Data Water Resources Data, New Jersey, Water Year 2003 - Volume 2. Ground-Water Data

Water-resources data for the 2003 water year for New Jersey are presented in three volumes, and consists of records of stage, discharge, and water quality of streams: stage, contents, and water quality of lakes and reservoirs; and water levels and water quality of ground water. Volume 2 contains a summary of the hydrologic conditions for 2003 water year; a listing of current water...
Authors
Walter D. Jones

Application of artificial neural networks to complex groundwater management problems Application of artificial neural networks to complex groundwater management problems

As water quantity and quality problems become increasingly severe, accurate prediction and effective management of scarcer water resources will become critical. In this paper, the successful application of artificial neural network (ANN) technology is described for three types of groundwater prediction and management problems. In the first example, an ANN was trained with simulation data...
Authors
Emery Coppola, Mary Poulton, Emmanuel G. Charles, John Dustman, F. Szidarovszky
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