Remote Real-Time Monitoring of Subsurface Landfill Gas Migration

Cormac Fay(Clarity Centre for Sensor Web Technologies), Aiden Doherty(Clarity Centre for Sensor Web Technologies), Stephen Beirne(Clarity Centre for Sensor Web Technologies), Fiachra Collins(Clarity Centre for Sensor Web Technologies), Colum Foley(Clarity Centre for Sensor Web Technologies), John Healy(Clarity Centre for Sensor Web Technologies), Breda M. Kiernan(Clarity Centre for Sensor Web Technologies), Hyowon Lee(Clarity Centre for Sensor Web Technologies), Damien T. Maher(Clarity Centre for Sensor Web Technologies), Dylan Orpen(Clarity Centre for Sensor Web Technologies), Thomas Phelan(Clarity Centre for Sensor Web Technologies), Zhengwei Qiu(Clarity Centre for Sensor Web Technologies), Kirk Zhang(Clarity Centre for Sensor Web Technologies), Cathal Gurrin(Clarity Centre for Sensor Web Technologies), Brian Corcoran(Clarity Centre for Sensor Web Technologies), Noel E. O’Connor(Clarity Centre for Sensor Web Technologies), Alan F. Smeaton(Clarity Centre for Sensor Web Technologies), Dermot Diamond(Clarity Centre for Sensor Web Technologies)
Sensors
June 27, 2011
Cited by 29Open Access
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Abstract

The cost of monitoring greenhouse gas emissions from landfill sites is of major concern for regulatory authorities. The current monitoring procedure is recognised as labour intensive, requiring agency inspectors to physically travel to perimeter borehole wells in rough terrain and manually measure gas concentration levels with expensive hand-held instrumentation. In this article we present a cost-effective and efficient system for remotely monitoring landfill subsurface migration of methane and carbon dioxide concentration levels. Based purely on an autonomous sensing architecture, the proposed sensing platform was capable of performing complex analytical measurements in situ and successfully communicating the data remotely to a cloud database. A web tool was developed to present the sensed data to relevant stakeholders. We report our experiences in deploying such an approach in the field over a period of approximately 16 months.


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