Automated ground-water monitoring with robowell-Case studies and potential applications

By:  and 
Edited by: Jensen J LBurggraf L W

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Abstract

Robowell is an automated system and method for monitoring ground-water quality. Robowell meets accepted manual-sampling protocols without high labor and laboratory costs. Robowell periodically monitors and records water-quality properties and constituents in ground water by pumping a well or multilevel sampler until one or more purge criteria have been met. A record of frequent water-quality measurements from a monitoring site can indicate changes in ground-water quality and can provide a context for the interpretation of laboratory data from discrete samples. Robowell also can communicate data and system performance through a remote communication link. Remote access to ground-water data enables the user to monitor conditions and optimize manual sampling efforts. Six Robowell prototypes have successfully monitored ground-water quality during all four seasons of the year under different hydrogeologic conditions, well designs, and geochemical environments. The U.S. Geological Survey is seeking partners for research with robust and economical water-quality monitoring instruments designed to measure contaminants of concern in conjunction with the application and commercialization of the Robowell technology. Project publications and information about technology transfer opportunities are available on the Internet at URL http://ma.water.usgs.gov/automon/.
Publication type Conference Paper
Publication Subtype Conference Paper
Title Automated ground-water monitoring with robowell-Case studies and potential applications
DOI 10.1117/12.456921
Volume 4575
Year Published 2001
Language English
Larger Work Title Proceedings of SPIE - The International Society for Optical Engineering
First page 32
Last page 41
Conference Title Chemical and Biological Early Warning Monitoring for Water, Food, and Ground
Conference Location Newton, MA
Conference Date 1 November 2001 through 2 November 2001
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