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?

4

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.


http://www.searisingsolutions.com/

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


Mean Horizontal Distance Deviation = 7.16m (n = 120 pts)


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


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


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


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


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:


Learned

C. Conclusions


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:


Learned

C. Conclusions


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:


Learned

C. Conclusions


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:


Learned

C. Conclusions


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:

Crowdsourcing Hydrocorrection: How Tidewater …...Crowdsourcing Hydrocorrection: How Tidewater...

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