Augmenting groundwater monitoring networks near landfills with slurry cutoff walls.
This study investigated the use of slurry cutoff walls in conjunction with monitoring wells to detect contaminant releases from a solid waste landfill. The 50 m wide by 75 m long landfill was oriented oblique to regional groundwater flow in a shallow sand aquifer. Computer models calculated flow fields and the detection capability of six monitoring networks, four including a 1 m wide by 50 m long cutoff wall at various positions along the landfill's downgradient boundaries and upgradient of the landfill. Wells were positioned to take advantage of convergent flow induced downgradient of the cutoff walls. A five-well network with no cutoff wall detected 81% of contaminant plumes originating within the landfill's footprint before they reached a buffer zone boundary located 50 m from the landfill's downgradient corner. By comparison, detection efficiencies of networks augmented with cutoff walls ranged from 81 to 100%. The most efficient network detected 100% of contaminant releases with four wells, with a centrally located, downgradient cutoff wall. In general, cutoff walls increased detection efficiency by delaying transport of contaminant plumes to the buffer zone boundary, thereby allowing them to increase in size, and by inducing convergent flow at downgradient areas, thereby funneling contaminant plumes toward monitoring wells. However, increases in detection efficiency were too small to offset construction costs for cutoff walls. A 100% detection efficiency was also attained by an eight-well network with no cutoff wall, at approximately one-third the cost of the most efficient wall-augmented network.
Hudak
Paul F
PF
Department of Geography and Environmental Science Program, University of North Texas, Denton, Texas, USA. hudak@unt.edu
D003198:Computer Simulation; D004784:Environmental Monitoring; D007220:Industrial Waste; D012037:Refuse Disposal; D012989:Soil Pollutants / Q000032:analysis*; D018505:Waste Management / Q000191:economics; D014876:Water Pollution / Q000517:prevention & control; D014881:Water Supply / Q000032:analysis*
D007220:Industrial Waste; D012989:Soil Pollutants