Swig water sensors sept 26th 2013 fiona regan
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Transcript of Swig water sensors sept 26th 2013 fiona regan
The Poten)al of Surrogate Monitoring: Turbidity Fiona Regan
Marine and Environmental Sensing Technology Hub (MESTECH) December 9th
Outline
Decision support using turbidity data
Deployments
MulB-‐modal PlaEorm
Water Quality Monitoring
Monitoring Site
Poolbeg Marina
Data AnalyBcs
• Machine learning objecBves: automated detecBon and trajectory of vessels
• Automated Turbidity event detecBon – pixel-‐based adapBve segmenter method
• Salinity predicBon using mulBple data sources (Bde, flow, weather data) using regression tree approach
• Shipping acBvity + turbidity: predicBon of sampling Bmes and microbial contaminaBon – separaBng natural events from anthropogenic events
• Water level predicBon
• Security Threats: Unauthorized shipping
Poolbeg – Surrogate measurements for water quality
Water Management
• Surrogate measurements using low-‐cost sensors
• Informed sampling • Early warning of events
Decision support
Occurrence of e-‐coli
Acknowledgments Tim Sullivan, James Chapman, Ciprian Briciu, Brendan Heery, Dian Zhang Prof. Noel O’Connor Poolbeg Marina, Malahide Marina Brendan O’Flynn, Tyndall, John Wallace IDS Ltd., Cork Co.Co. SmartBay Ireland, Marine Institute, Guy Westbrook Funding: Marine Institute Beaufort Marine Research Awards, 2007, QUESTOR, IRCSET EPS (ISGEI)