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• Fay, C
• Doherty, A
• Beirne, S
• Collins, F
• Foley, C
• Healy, J
• Kiernan, B
• Lee, H
• Maher, D
• Orpen, D
• Phelan, T
• Qiu, Z
• Zhang, K
• Gurrin, C
• Corcoran, B
• O’Connor, N
• Smeaton, A
• Diamond, D
• [+] on Google Scholar
• Fay, C
• Doherty, A
• Beirne, S
• Collins, F
• Foley, C
• Healy, J
• Kiernan, B
• Lee, H
• Maher, D
• Orpen, D
• Phelan, T
• Qiu, Z
• Zhang, K
• Gurrin, C
• Corcoran, B
• O’Connor, N
• Smeaton, A
• Diamond, D
• [+] on PubMed
• Fay, C
• Doherty, A
• Beirne, S
• Collins, F
• Foley, C
• Healy, J
• Kiernan, B
• Lee, H
• Maher, D
• Orpen, D
• Phelan, T
• Qiu, Z
• Zhang, K
• Gurrin, C
• Corcoran, B
• O’Connor, N
• Smeaton, A
• Diamond, D

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Sensors 2011, 11(7), 6603-6628; doi:10.3390/s110706603

Article

Remote Real-Time Monitoring of Subsurface Landfill Gas Migration

Cormac Fay, Aiden R. Doherty, Stephen Beirne, Fiachra Collins, Colum Foley, John Healy, Breda M. Kiernan, Hyowon Lee, Damien Maher, Dylan Orpen, Thomas Phelan, Zhengwei Qiu, Kirk Zhang, Cathal Gurrin, Brian Corcoran, Noel E. O’Connor, Alan F. Smeaton*  and Dermot Diamond*

CLARITY, Centre for Sensor Web Technologies, Dublin City University, Glasnevin, Dublin 9, Ireland

* Authors to whom correspondence should be addressed.

Received: 16 May 2011; in revised form: 15 June 2011 / Accepted: 16 June 2011 / Published: 27 June 2011

(This article belongs to the Section Remote Sensors)

Download PDF Full-Text [1060 KB, uploaded 27 June 2011 12:36 CEST]

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.

Keywords: environmental monitoring; greenhouse gases; chemistry; landfill; carbon dioxide; methane; sensor networks; sensor data management

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