HR: 1330h
AN: H43C-01    [Abstracts]
TI: Web Based Autonomous Geophysical/Hydrological Monitoring of the Gilt Edge Mine Site: Implementation and Results
AU: * Versteeg, R J
EM: roelof.versteeg@inl.gov
AF: Idaho National Laboraroy, PO Box 1625, Idaho Falls, ID 83415-2107 United States
AU: Wangerud, K
EM: wangerud.ken@epa.gov
AF: Office of Ecosystems Protection and Remediation, USEPA Region VIII, Suite 500 999 18th St., Denver, CO 80202-2466 United States
AU: Mattson, E
EM: earl.mattson@inl.gov
AF: Idaho National Laboraroy, PO Box 1625, Idaho Falls, ID 83415-2107 United States
AU: Ankeny, M
EM: mark.ankeny@inl.gov
AF: Idaho National Laboraroy, PO Box 1625, Idaho Falls, ID 83415-2107 United States
AU: Richardson, A
EM: alex.richardson@inl.gov
AF: Idaho National Laboraroy, PO Box 1625, Idaho Falls, ID 83415-2107 United States
AU: Heath, G
EM: gail.heath@inl.gov
AF: Idaho National Laboraroy, PO Box 1625, Idaho Falls, ID 83415-2107 United States
AB: The Ruby Gulch repository at the Gilt Edge Mine Superfund site is a capped waste rock repository. Early in the system design EPA and its subcontractor, Bureau of Reclamation, recognized the need for long-term monitoring system to provide information on the repository behavior with the following objectives: 1 Provide information on the integrity of the newly constructed surface cover and diversion system 2 Continually assess the waste's hydrological and geochemical behavior, such that rational decisions can be made for the operation of this cover and liner system 3 Easily access of information pertaining to the system performance to stakeholders 4 Integration of a variety of data sources to produce information which could be used to enhance future cover designs. Through discussions between EPA, the Bureau of Reclamation and Idaho National Laboratory a long-term monitoring system was designed and implemented allowing EPA to meet these objectives. This system was designed to provide a cost effective way to deal with massive amounts of data and information, subject to the following specifications: 1 Data acquisition should occur autonomously and automatically, 2 Data management, processing and presentation should be automated as much as possible, 3 Users should be able to access all data and information remotely through a web browser. The INL long-term monitoring system integrates the data from a set of 522 electrodes resistivity electrodes consisting of 462 surface electrodes and 60 borehole electrodes (in 4 wells with 15 electrodes each), an outflow meter at the toe of the repository, an autonomous, remotely accessible weather station, and four wells (average depths of 250 feet) with thermocouples, pressure transducers and sampling ports for water and air. The monitoring system has currently been in operation for over a year, and has collected data continuously over this period. Results from this system have shown both the diurnal variation in rockmass behavior, movement of water through the waste (allowing estimated in residence time) and are leading to a comprehensive model of the repository behavior. Due to the sheer volume of data, a user driven interface allows users to create their own views of the different datasets.
DE: 1848 Networks
DE: 1875 Unsaturated zone
DE: 3299 General or miscellaneous
DE: 3914 Electrical properties
DE: 9820 Techniques applicable in three or more fields
SC: Hydrology [H]
MN: 2005 Joint Assembly