Crowdsourcing Hydrocorrection: How Tidewater …...Crowdsourcing Hydrocorrection: How Tidewater...
Transcript of Crowdsourcing Hydrocorrection: How Tidewater …...Crowdsourcing Hydrocorrection: How Tidewater...
Crowdsourcing Hydrocorrection: How Tidewater Virginia Caught the King Tide
Sridhar Katragadda
Systems Analyst,
City of Virginia Beach
Dr. Jon Derek Loftis
Asst. Research Scientist,
VA Inst. of Marine Science
UC 293 - Citizen Science at Work
July 12, 2018, 8:30 - 9:30 AM
First, What is the King Tide?
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Outline
1. Thank You!
A. To Our Many, Many Volunteers
B. To Our Enthusiastic Media Partners
C. To the App Developers
2. Data Review
A. App Data and Model Comparison
B. What We Learned
C. Conclusions
Catch the King
Measure the Muck
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App Data
B. What We Learned
C. Conclusions
Catch the King Tide
Thanks to Our Many Volunteers:
• We were able to validate and improve predictive models for future forecasting
• 35 separate volunteer training events held all over Hampton Roads resulted in:
510 known participants on Nov. 5th 53,006 time-stamped GPS max. flood
extent measurements collected 1,126 geotagged photographs
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Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App Data
B. What We Learned
C. Conclusions
Thanks to Media Partners
CtK’s Enthusiastic Media Partners!
Sponsored by: • The Virginian-Pilot• Daily Press • WHRO Public Media• WVEC-TV• The Commonwealth Center for
Recurrent Flooding Resiliency
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Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App Data
B. What We Learned
C. Conclusions
Thanks to Media Partners
• Embedded and linked to volunteer recruitment forms, App download, and interactive story map:
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CtK Initially featured on NWS weather.gov
Initial teaser story from VA-Pilot
CtK Media Campaign officially begins with 6 articles/broadcasts
4 follow-up stories on CtKand Jose Floods
High Tide in Oct. & 6 test events
8 follow-up stories on CtK
3 more follow-up stories
Weekend of King Tide; 12 follow-up stories
Volunteer Recruitment Story Map URL: http://www.vims.edu/people/loftis_jd/Catch%20the%20King/index.php
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App Data
B. What We Learned
C. Conclusions
Thanks to App Developers
• In the wake of Hurricane Sandy, Wetlands Watch was inspired by the crowdsourcedflood monitoring efforts undertaken by private citizens
• The App has been available on the iOSplatform since mid-2014
• Released major upgrade to version 2.0 in September 2016 with inclusion of data download features for event managers on the App’s searisingsolutions.com website.
Volunteer Recruitment Story Map URL: http://www.vims.edu/people/loftis_jd/Catch%20the%20King/index.php
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App Data
B. What We Learned
C. Conclusions
Thanks to App Developers
Mean Horizontal Distance Deviation = 7.16m (n = 120 pts)
Volunteer Recruitment Story Map URL: http://www.vims.edu/people/loftis_jd/Catch%20the%20King/index.php
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App Data
B. What We Learned
C. Conclusions
Thanks to App Developers
Animation of Forecast Modeled Extents on September 27, 2015 in Surrey CrescentPlotted with Maximum Inundation Extents from Sea Level Rise App
Average Horizontal Distance Difference = 8.25m (n = 345 points)
• Witnessed past King Tides and inundation events since 2014
from Loftis, Wang & Forrest, 2016
Volunteer Recruitment Story Map URL: http://www.vims.edu/people/loftis_jd/Catch%20the%20King/index.php
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App Data
B. What We Learned
C. Conclusions
Thanks to App Developers
Average Horizontal Distance Difference = 6.89m (n = 162 points)
Forecast Modeled Extents at 2:30pm on
Oct. 9, 2016 @
Llewellyn AveCompared
with SLR App
from Loftis et al. 2017
Volunteer Recruitment Story Map URL: http://www.vims.edu/people/loftis_jd/Catch%20the%20King/index.php
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App DataB. What We
Learned
C. Conclusions
Review of App GPS Data
Nov. 5th, 2017 King Tide Data Collection Statistics
9:10-9:50 AM:An average of 572
measurements/min
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App DataB. What We
Learned
C. Conclusions
Review of App GPS Data
Dynamic Time Lapse of GPS Data Entry on Nov. 5th Interactive Flood Map Comparison
http://bit.ly/2zcS7Ba
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App DataB. What We
Learned
C. Conclusions
Review of App GPS Data
Nov. 5th, 2017 King Tide Data Web Map (http://bit.ly/2zcS7Ba)
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App DataB. What We
Learned
C. Conclusions
Review of App GPS Data
R2: 0.9897 | MAE: 1.28 cm | RMSE: 1.84 cm
R2: 0.9668 | MAE: 2.24 cm | RMSE: 3.08 cm
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App DataB. What We
Learned
C. Conclusions
Review of App GPS Data
Examples of Crowdsourced Hydro-correctionOne of the biggest
unanticipated benefits of Catch the King was the
free hydrologic correction of fine-scale drainage features missing from
aerial lidar surveys.
This can be laborious to fix and involves field surveys to confirm; often costing several $100k for private
firms to correct! VA got this for free through CtK.
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App Data
B. What We Learned
C. Conclusions
What We Learned from
~200 flooding water samples collected during the king tide event in Norfolk, VA.• Particulate Nitrogen and
Carbon;• Total suspended solids;• Dissolved components
(nitrite, nitrate, ammonium, phosphate, and urea);
+
• 40 samples for Enterococcusabundance analysis
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App Data
B. What We Learned
C. Conclusions
What We Learned from
This estimation
with conservative
numbers shows that
~1,800 pounds of nitrogen
are being introduced to the
water system in a single
tidal flooding event!
This amount equals the
total nitrogen Land-based
Total Maximum Daily Loads
(TMDL) already permitted
for the Lafayette River.
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App Data
B. What We Learned
C. Conclusion
In Conclusion
1. More specific experiments and area-focused measurements should be done to confirm water quality estimations.
2. The results from Measure the Muck suggest that nutrients transported into the water system due to flooding events should be considered for a better estimation of TMDL.
3. VIMS’ flood forecast model was accurate:
≈1.4 in. (3.5 cm) ≈19.3 ft. (5.9 m)
Thank You & Review
1. Thank You To:
A. Our Volunteers
B. Media Partners
C. App Developers
2. Review of:
A. App Data
B. What We Learned
C. Conclusion
In Conclusion
3. Catch the King effectively crowdsourced hydro-correction. Ground-truthing information is valuable. Some waterways weren’t accurately represented by LiDAR:• Including ditches and narrow creeks• Areas canopied by trees during flyovers
4. Engaging the public affords scientists greater extensibility for these type of projects (i.e. private property access).
5. Truly anyone can help us better understand tidal flooding and its cascading impacts!
• Alfonso Macías-Tapia, ODU
• David Forrest, VIMS
• Margaret Mulholland, ODU
• Skip Stiles, Wetlands Watch
• Dave Mayfield, The Virginian-Pilot
• Qaren Jacklish, Volunteer Coordinator
• David Richards, Concursive
• Kyle Spencer, City of Norfolk
• David Hendrickson, Daily Press
• Cathy Lewis, WHRO
• Arrianee LeBeau, WVEC ABC News 13
Big Thank-You’s to: