Document Type



Master of Science (MS)


Computer Engineering

First Advisor's Name

Subbarao Wunnava

First Advisor's Committee Title

Committee Chair

Second Advisor's Name

Marshall Allen

Third Advisor's Name

Malcolm Heimer

Fourth Advisor's Name

David Roelant

Fifth Advisor's Name

M. A. Ebadian

Date of Defense



The purpose of this study was to design and optimize long-term monitoring systems for contaminated environmental sites. This study identified some major issues related to long-term monitoring systems, including those related to sensors, communications, security, and data acceptability. The state of the art among the various components was detailed with benefits and limitations identified for all. It focused on how optimization of performance criteria is achieved in automated long-term monitoring systems. This study particularly focused on a trade-off analysis for determining the optimal long-term monitoring system design. A set of long-term monitoring scenarios was presented and the optimized long-term monitoring system design was then suggested.

Reviews of commercially available water quality monitoring sensors for volatile organic compounds and Supervisory Control and Data Acquisition (SCADA) systems were included.

By using automated systems as suggested in this thesis significant cost reduction may be achieved over the baseline sampling approach. It concludes with several optimized scenarios that can be used for assessing the success of monitored natural attenuation of contaminated groundwater monitoring.





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