Design of Lysimeter Leak Detector Networks for Surface Impoundments and Landfills

Abstract

Sampling of soil pore moisture in the vadose zone underneath land disposal facilities (landfills and surface impoundments) for hazardous waste has been suggested as an “early warning system” to detect leakage from these facilities. Some states require vadose zone moisture sampling at such sites. Given a leak of a particular size, mathematical models can estimate the necessary moisture sample volume collection times and lysimeter spacings to guarantee detection of the leak in a homogeneous medium. Examination of 47 hazardous waste sites existing in 1984 indicated the most were located in areas with water tables too shallow to permit vadose zone detection monitoring. Several of the 47 sites had soils that could be described as loamy sand, silt loam or silty clay. Using these three soils as examples, the process of lysimeter leak‐detector network design has been illustrated. For a particular loamy sand with a saturates hydraulic conductivity of 10‐6 cm/ sec, the maximum ceramic lysimeter spacing is 15.5 feet at a depth of 30 feet to collec a moisture sample of 10 mL in one week from a 1 ft2 leak. For a silt loam, maximum lysimeter spacing would be 17 feet at depth of 15 feet. For silty clays, the maximum lysimeter spacing is 7 feet at a depth of 2 feet; maximum emplacement depth is about 9 feet. Calculations show that in some soils, suction lysimeters will not be able to collect usable moisture samples. Since soil properties vary widely and lysimeter spacing is strongly dependent on soil‐moisture characteristics appropriate soil measurements and modeling must be performed at each disposal facility to estimate lysimete performance and to select locations for emplacement.

Efficiency comparison of graphical approaches for designing contaminant detection networks in groundwater

“…Used in conjunction with vadose zone monitoring networks [ Cullen et al , 1995; Bumb et al , 1998; Warrick et al , 1998], strategically configured groundwater monitoring wells facilitate early contaminant detection, thereby reducing aquifer cleanup costs [ Massman and Freeze , 1987]. The pattern of wells should account for several factors, including the uncertain location of a contaminant release, the direction(s) of groundwater flow, rock and soil characteristics, and proximity to receptors.…”