Browsing by Author "Sanders, Paul F."

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A Pragmatic Approach for Determining Practical Quantitation Levels (PQLs) for Regulatory Purposes
(Trenton, N.J. : Department of Environmental Protection, Division of Science and Research, 1995) Sanders, Paul F.; Lippincott, R. Lee; Eaton, Andrew
Ambient Levels of Metals in New Jersey Soils: Research Project Summary
(Trenton, N.J. : New Jersey Department of Environmental Protection, Division of Science, Research and Technology, 2003-05) Sanders, Paul F.
Between 1996 and 2001, three studies were conducted to determine the ambient levels of extractable metals in New Jersey soils. These studies were conducted to gather information to support the development of soil cleanup criteria, which cannot be set below ambient levels. A total of 248 soil samples were taken from the urban Piedmont region, the urban Coastal Plain region, and rural regions of the Valley and Ridge, Highlands, and Coastal Plain provinces. Local or point sources of contamination were avoided by the use of Geographic Information System databases and by following sample location guidelines in the field. Surface soil samples (0-6”) were analyzed for acid-extractable Target Analyte List (TAL) metals using USEPA SW-846 methods that are normally used to conduct initial investigations at hazardous waste sites. With one exception, median and 90th percentile concentrations of all metals were below current soil cleanup criteria. The exception was the 90th percentile arsenic concentration from the urban Piedmont study, which slightly exceeded the arsenic criterion. Otherwise, only certain individual samples contained metal concentrations above current criteria. A single rural soil sample yielded a beryllium concentration slightly above the corresponding criterion. For the urban Coastal Plain study, three of the 91 samples contained levels of arsenic above the current criterion. The urban Piedmont study yielded eight samples out of 67 where levels of arsenic or lead exceeded the criteria.
Evaluation of PQL determination methodologies
(Pasadena, CA : Montgomery Laboratories, 1993) Eaton, Andrew; Sanders, Paul F.; New Jersey. Department of Environmental Protection. Division of Science and Research; Montgomery Laboratories
The fate and transport of inorganic contaminants in New Jersey soils : final report
(Trenton, N.J. : Department of Environmental Protection, Division of Science and Research, 1991-12) Lee, Jack; Chen, Benjamin; Allen, Herbert E.; Huang, C.P.; Sparks, Donald L.; Sanders, Paul F.
Occurrence of Agricultural Pesticides in Surface Drinking Water Sources in New Jersey: Research Project Summary
(Trenton, N.J. : New Jersey Department of Environmental Protection and Energy, Division of Science and Research, 1995-03) Sanders, Paul F.; Louis, Judith B.
In order to assess the potential impact of agricultural use of pesticides on surface drinking water sources in New Jersey, water samples were taken from surface drinking water watersheds during 1990, 1992 and 1994. Samples were collected during the growing season, when agricultural runoff of pesticides was most likely. Samples were taken both during base flow conditions (fair weather) and during storm events. Samples were analyzed for a variety of pesticides that are 1) known to be used in the state or 2) are presently regulated or anticipated to be regulated in drinking water.
A screening model for predicting concentrations of volatile organic chemicals in shower stall air: Research Project Summary
(Trenton, N.J. : New Jersey Department of Environmental Protection, Division of Science, Research and Technology, 2002-06-11) Sanders, Paul F.
A simple equilibrium model was developed to predict maximum possible concentrations of volatile organic chemicals that may occur in shower stall air from the use of contaminated water during a showering event. The only site-specific parameter that must be known to use the model is the contaminant concentration in the influent water. Data was compiled from four previous studies for which vapor concentrations of contaminants in experimental shower stalls were measured. Peak concentrations reported in these experiments were compared to model-predicted concentrations. Experimental peak concentrations were typically within an order magnitude of concentrations predicted from the model (used under standard conditions), with the predicted value almost always being the higher of the two concentrations. When the model-predicted values were adjusted for experimentally reported values for water temperature, air exchange rates, and water flow rates,agreement between experimental and predicted values improved; predicted values usually were in the range of 1 to 3 times the experimental peak concentrations. The behavior of the model suggests that it would be useful as a screening tool for estimating maximum concentrations of volatile organic chemicals in shower stall air, arising from the use of contaminated water during a showering event. Example calculations of shower water criteria to protect against unacceptable inhalation exposures indicated that at times these criteria were lower than drinking water Maximum Contaminant Levels or other criteria based on ingestion of the water. This research was supported through the New Jersey A-280 Drinking Water Research Fund.