Introduction to ArtificiaI Intelligence in Higher Education
Citizen Science
1.
2. Enhanced datasets
Reliable and engaged
Baseline and long-term
Local and immediate
Leads to Action
Photo by Lew Stamp
LewStampPhotography.com
3. Training Citizen Scientists since 1989……
•Water Temperature
•Secchi Disk Transparency
•Water Color
•Qualitative Assessments
4. Improved reporting
Since 2008
153 Level 1 QDCs
4 Level 2 QDCs
1 Level 3 QDC
On-line data entry
30 active volunteers
16 QDCs
8 with 10+ years
QA/QC Protocols
Carl Moore,
CLAM Data Coordinator
Reliable and Long-Term
6. 0
No Secchi data
No Secchi data
0.5
Secchi Disk Depth (m)
1
Bars = annual median
Dots = monthly mean
1.5
Grass Carp Harvesting
Dredging
2
1988 1990 1992 1994 1996 1998 2000 2002
YEAR
7. Level 2 data
› Transparency
› Water temperature
› Water color
› Quality and lake use
Level 3 data
› Temp. / DO profiles
› Total nutrients
› Total suspended solids
› Chlorophyll a
23. Similar trends
Missing data
30+ d
DO
< 3 mg/L
Divergent profiles
> 5 mo
24. Eutrophic or hypereutrophic
Algal driven turbidity
HABs present as severe blooms
Toxin health risk low (microcystin)
› Level of Algae Bloom Advisory
Trends indicated by citizen data
25. Charles Mill and Wills Creek?
Another HAB monitoring season
Test for Cylindrospermopsin toxin
26. Staff, and volunteers Volunteer cultivation,
transparency data,
on-line database
Grant funds Reservoir
management,
community
awareness
Monitoring
equipment, water
analysis, and staff Fisheries management,
program evaluation
In-kind,
and staff Algae characterization