Developing a long-term monitoring network under uncertain flowpaths.
A long-term monitoring well network is developed using complementary and simple approaches in conjunction with a stochastic ground water flow and transport model. The development is illustrated for a case study of a U.S. nuclear testing site (Shoal) that is undergoing environmental restoration. The network design builds on three different, yet complementary, tools for locating the monitoring wells with a main objective of detection monitoring. The first tool is applied to select potential siting horizons where monitoring wells could be located. The second tool is used to place monitoring wells in locations with high success probability. The success here is defined as the detection of migrating stochastic plumes before a certain mass percentage reaches a compliance boundary. The third tool is used to analyze detection efficiency of multiple combinations of three wells. Seventy-six different three-well networks are selected from 20 candidate locations and are evaluated for detection efficiency. From the 76 networks analyzed, 28 attain detection efficiency close to or above 70%. The results of the different analyses provide multiple alternatives for the locations of the three wells, which will become part of the long-term monitoring network at Shoal. A number of combinations are equally good, and the final choice will depend on practical considerations and future agreements between model sponsor and regulators.
Hassan
Ahmed E
AE
Division of Hydrologic Sciences, Desert Research Institute, University System of Nevada, 755 East Flamingo Road, Las Vegas, NV 89119, USA. ahmed.hassan@dri.edu
D004784:Environmental Monitoring / Q000379:methods*; D005843:Geography; D008962:Models, Theoretical; D009505:Nevada; D014872:Water Movements; D014881:Water Supply