Sensors for Decision Support

1. The
Poten)al
of
Surrogate
Monitoring:
Turbidity
Fiona
Regan
Marine
and
Environmental
Sensing
Technology
Hub
(MESTECH)
December
9th

2. Outline
Decision
support
using
turbidity
data
Deployments
MulB-­‐modal
PlaEorm
Water
Quality
Monitoring

3. Monitoring
Site
Poolbeg
Marina

5.
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

6. Poolbeg
–
Surrogate
measurements
for
water
quality

18. Water
Management
• Surrogate
measurements
using
low-­‐cost
sensors
• Informed
sampling
• Early
warning
of
events
Decision
support

19. Occurrence
of
e-­‐coli

21. 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, IRCSE
EPS (ISGEI)