Screening tool to evaluate the vulnerability of down-gradient receptors to groundwater contaminants from uncapped landfills
Creators
- 1. U.S. Geological Survey, 3450 Princeton Pike, Suite 110, Lawrenceville, NJ 08648 (United States)
- 2. Bayer-Risse Engineering, Inc., 78 Route 173 West, Suite 6, Hampton, NJ 08827 (United States)
- 3. New Jersey Pinelands Commission, 15 Springfield Road, New Lisbon, NJ 08064 (United States)
Description
Highlights: • A spreadsheet-based risk screening tool for groundwater affected by landfills is presented. • Domenico solute transport equations are used to estimate downgradient contaminant concentrations. • Landfills are categorized as presenting high, moderate or low risks. • Analysis of parameter sensitivity and examples of the method's application are given. • The method has value to regulators and those considering redeveloping closed landfills. - Abstract: A screening tool for quantifying levels of concern for contaminants detected in monitoring wells on or near landfills to down-gradient receptors (streams, wetlands and residential lots) was developed and evaluated. The tool uses Quick Domenico Multi-scenario (QDM), a spreadsheet implementation of Domenico-based solute transport, to estimate concentrations of contaminants reaching receptors under steady-state conditions from a constant-strength source. Unlike most other available Domenico-based model applications, QDM calculates the time for down-gradient contaminant concentrations to approach steady state and appropriate dispersivity values, and allows for up to fifty simulations on a single spreadsheet. Sensitivity of QDM solutions to critical model parameters was quantified. The screening tool uses QDM results to categorize landfills as having high, moderate and low levels of concern, based on contaminant concentrations reaching receptors relative to regulatory concentrations. The application of this tool was demonstrated by assessing levels of concern (as defined by the New Jersey Pinelands Commission) for thirty closed, uncapped landfills in the New Jersey Pinelands National Reserve, using historic water-quality data from monitoring wells on and near landfills and hydraulic parameters from regional flow models. Twelve of these landfills are categorized as having high levels of concern, indicating a need for further assessment. This tool is not a replacement for conventional numerically-based transport model or other available Domenico-based applications, but is suitable for quickly assessing the level of concern posed by a landfill or other contaminant point source before expensive and lengthy monitoring or remediation measures are taken. In addition to quantifying the level of concern using historic groundwater-monitoring data, the tool allows for archiving model scenarios and adding refinements as new data become available
Availability note (English)
Available from http://dx.doi.org/10.1016/j.wasman.2015.04.009Additional details
Identifiers
- DOI
- 10.1016/j.wasman.2015.04.009;
- PII
- S0956-053X(15)00281-0;
Publishing Information
- Journal Title
- Waste Management
- Journal Volume
- 43
- Journal Page Range
- p. 363-375
- ISSN
- 0956-053X
- CODEN
- WAMAE2
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47042362
- Subject category
- S54: ENVIRONMENTAL SCIENCES; S12: MANAGEMENT OF RADIOACTIVE WASTES, AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES;
- Descriptors DEI
- CONCENTRATION RATIO; FLOW MODELS; GROUND WATER; MATHEMATICAL SOLUTIONS; NEW JERSEY; POINT SOURCES; REMEDIAL ACTION; SANITARY LANDFILLS; SIMULATION; STEADY-STATE CONDITIONS; TRANSPORT THEORY; VULNERABILITY; WATER POLLUTION CONTROL; WATER QUALITY; WATER WELLS; WETLANDS
- Descriptors DEC
- AQUATIC ECOSYSTEMS; CONTROL; DEVELOPED COUNTRIES; DIMENSIONLESS NUMBERS; ECOSYSTEMS; ENVIRONMENTAL QUALITY; HYDROGEN COMPOUNDS; MANAGEMENT; MATHEMATICAL MODELS; NORTH AMERICA; OXYGEN COMPOUNDS; POLLUTION CONTROL; RADIATION SOURCES; USA; WASTE DISPOSAL; WASTE MANAGEMENT; WATER; WELLS
Optional Information
- Copyright
- Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.