Wireless Sensor Network Based Subsurface Contaminant Plume Monitoring
Final rept. 1 Aug 2006 - 31 Jul 2010
COLORADO SCHOOL OF MINES GOLDEN
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The primary goal is to develop a novel, efficient, integrated, subsurface monitoring system, capable of capturing transient chemical plumes in real-time to assess the source and predict future plume behavior. This proof-of-concept research aimed at demonstrating the use of an intelligent Wireless Sensor Network WSN to monitor contaminant plume movement in naturally heterogeneous subsurface formations to advance the sensor networking based monitoring for decision making and design. Also of specific interest in the demonstration using synthetic data and date from test aquifers, was how we can adapt computational transport models to utilize data from the WSN and how well this improves model predictions to be used in intelligent remediation. Experimental research was conducted in 2-D and 3-D test aquifers. The data generated in these synthetic aquifer instrumented with sensors and motes was used to validate developed software, inversion methods and modeling tools. A study, which focuses on the periodic inclusion of concentration data into a computational advection-dispersion transport model was performed using a synthetic data set and real data generated in the 3-D test aquifer. Virtual Sensor Networks VSNs algorithms that potentially will enable sensor network to be coupled to plume transport model when managing large number of sensors was developed.
- Water Pollution and Control
- Environmental Health and Safety