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Rain as an Indicator of
Turbidity Along Urban
SeattleWaterfront
Hannah Snow
December 2014
CEE 272
(TheSunbBreak.com, 2013)
Urban Runoff
• Paved surfaces  more runoff (drains &
overland)
• Stormwater runoff carries
• Sediment
• Hydrocarbons (Hoffman et al., 1984)
• Metals (Davis et al., 2001)
• Other industrial pollutants
• Stormwater runoff cause toxicity in
marine organisms (Schiff et al., 2003)
Turbidity & Rainfall
• Instead of measuring contaminants, use turbidity as proxy
• Rainfall correlated with coastal turbidity plume (Lahet et al.,
2010)
• Predict turbidity (  contaminants) knowing rainfall?
(Ringman, 2011)
Hypothesis
Cross-covariance with rainfall and
turbidity will have a positive correlation
at 0-3 days time lag.
Seattle,WA
(Benbennick, 2006)
Background
Pier 59 – The Seattle Aquarium
Elliot Bay
Duwamish River
Image from Google Earth
15 Minute Data from Seattle Aquarium Station
(1/2008-present)
TopTurbidity
(1m)
Bottom
Turbidity (10m)
Rainfall
(Mithun, Inc., 2014)
(King County, 2014)
Methods
Data Processing
• Remove values
>500, <0 NTU
• Daily average top
& bottom
turbidity
• Daily total rainfall
• Remove 1st
portion of
dataset
• Cross-covariance
analysis
Cross-Covariance: Rainfall &TopTurbidity
• 4 significant time lags, -1 year, 3 days,~25 days, ~40 days
• Positive cross-covariance
• Scatter
Cross-covariance between rainfall and top turbidity from 8/2010 to 11/2014. Red line indicates significant correlation with 99% CI.
Cross-covariance between rainfall and bottom turbidity, 8/2010 to 11/2014. Red line indicates significant correlation with 99% CI.
• No significant cross-covariation at any time lag
Cross-Covariance: Rainfall & Bot.Turbidity
Discussion
• BottomTurbidity
• No cross-covariance at any time lag
• Other physical drivers?
• Tides, currents, waves
• TopTurbidity
• 3 day lag as hypothesized – urban runoff?
• -1 year likely due to seasonality
• ~25 and ~40 day lags?
Where is the Runoff Originating?
• Urban runoff contributes different sediment
concentrations and contaminant types than runoff
from undeveloped land
• Sampling station influenced by Duwamish River
Pier 59 – The Seattle Aquarium
Duwamish River
2 km
Elliot Bay
Image from Google Earth
• Hydraulic responses 
different time lags
• 3 days – urban overland
• ~25 days, ~40 days –
Duwamish River
catchment
• Source tracking of
suspending sediment?
• Topic for future research
(Mabel, 2007)
(Brown, 2010)
Rainfall Patterns
• Rainfall events span multiple days
• Covariance for individual daily total rainfall
• Not representative of physical processes
• Future research
18
16
17
14
10
9
5
6
9
13
18
19
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
DaysofRainfallperMonth
Days of Rainfall per Month - Seattle, WA
(City of Seattle, 2014)
Stormwater Management
• Combined Sewer
Overflows
• Dry weather may reduce
sediment loading
• Wet weather may
drastically increase
loading
• Future research
(King County, 2014)
Calibration?
• Turbidimeters can have
calibration/performance issues
• Drift
• Negative values
• Sensor blockages  spikes
• In-situ instruments difficult to
maintain
• Potential impact on results
(King County, 2014)
Abrupt Jump
MeasurementType Negative Values All Measurements Percent Rejected
TopTurbidity 26,012 199,081 13%
Bottom Turbidity 38,912 199,081 20%
Uncertainty in Analysis
Calibration Issues
Not Capturing
Physical Processes
(Rainfall Patterns,
etc.)
Missing Data
Conclusion
• Hypothesis?
• Not proven or rejected
• Modifications to analysis
Top
Turbidity
in Elliot
Bay
Overland
Urban Runoff
River Flows
Stormwater
Discharge &
CSO
Other
Contributors
toTurbidity
(algae, etc.)
Conclusion
• Complex
relationship with
inputs
• More research
needed
• Turbidity
generation location
• Bottom turbidity
mechanisms
• Impact of CSO
Bottom
Turbidity
in Elliot
Bay?
ThankYou!
Questions?
References
• Benbennick, D. An Outline Map of Washington with County Boundaries. Wikimedia Commons. 2006.
http://commons.wikimedia.org/wiki/File:Map_of_Washington_counties,_blank.svg
• Brown, P. Image of the Duwamish River. IvestigateWest. 2010. <http://crosscut.com/2010/12/07/environment/20426/Duwamish-River-Should-cleanup-make-
fish-safe-eat-r/ >
• Chelton, D. Commentary: Short-term Climatic Variability in the Northeast Pacific Ocean. Oregon State University Press: Corvalis, OR, 1984, 87-99.
• Czuba, J., Magirl, C., Czuba, C., Grossman, E., Curran, C., Gendaszek, A., Dinicola, R. Sediment Load from Major Rivers into Puget Sound and its Adjacent
Waters. United States Geological Survey, 2011, Fact Sheet 2011-3083.
• Davis, A., Mohammad, S., Ni, S. Loading Estimates of Lead, Copper, Cadmium, and Zinc in Urban Runoff from Specific Sources. Chemosphere, 2001, 44, 997-
1009.
• Elliot Bay Waterfront Recontamination Study. Washington State Department of Ecology, 1995, Panel Publication 9, Ecology Publication 95-335.
• Goransson, G., Larson, M., Bendz, D. Variation in Turbidity with Precipiration and Flow in a Regulated River System – River Gota Alv, SW Sweden. Hydrology
and Earth System Science, 2013, 17, 2529-2542.
• Hoffman, E., Mills, Latimer, J., Quinn, J. Annual Input of Petroleum Hydrocarbons to the Coastal Environment via Urban Runoff. Can. J. Fish. Aquat. Sci., 1983,
4Q(Suppl. 2): 41-53.
• Image of Seattle Waterfront. 2013. <http://thesunbreak.com/wp-content/uploads/2013/04/IMGP2905.jpg >
• King County Marine Moorings. King County, WA, 2014. < https://green2.kingcounty.gov/marine-buoy/default.aspx>
• Combined Sewer Overflow Status. King County, WA, 2014.< http://www.kingcounty.gov/environment/wastewater/CSOstatus/Overview.aspx >
• Lahet, F., Stramskim D. MODIS imagery of turbid plumes in San Diego coastal waters during rainstorm events. Remote Sensing of Environment, 2010, 114, 332–
344.
• Mabel, J. The Green River at Tukwila.. Wikimedia Commons. 2007. <http://en.wikipedia.org/wiki/Duwamish_River#mediaviewer/File:Tukwila_-
_Duwamish_River_-_01.jpg >
• Seattle Aquarium. Mithun, Inc. 2014.< http://mithun.com/projects/project_detail/seattle_aquarium/ >
• Urban Waters Initiative, 2007, Sediment Quality in Elliot Bay. Washington State Department of Ecology, 2009, Publication 09-03-014.
• Seattle Monthly Averages and Records. The City of Seattle, 2014. < http://www.seattle.gov/living-in-seattle/environment/weather/averages-and-records>
• Schiff, K., Bay, S. Impacts of Stormwater Discharges on the Nearshore Benthic Environment of Santa Monica Bay. Marine Environmental Research, 2003, 56,
225-243.
• Ringman, S. Runoff turns Elliot Bay into murky stew. The Seattle Times. 2011. <http://seattletimes.com/html/localnews/2013981790_elliottbay20m.html >

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Final Coastal Presentation

  • 1. Rain as an Indicator of Turbidity Along Urban SeattleWaterfront Hannah Snow December 2014 CEE 272 (TheSunbBreak.com, 2013)
  • 2. Urban Runoff • Paved surfaces  more runoff (drains & overland) • Stormwater runoff carries • Sediment • Hydrocarbons (Hoffman et al., 1984) • Metals (Davis et al., 2001) • Other industrial pollutants • Stormwater runoff cause toxicity in marine organisms (Schiff et al., 2003)
  • 3. Turbidity & Rainfall • Instead of measuring contaminants, use turbidity as proxy • Rainfall correlated with coastal turbidity plume (Lahet et al., 2010) • Predict turbidity (  contaminants) knowing rainfall? (Ringman, 2011)
  • 4. Hypothesis Cross-covariance with rainfall and turbidity will have a positive correlation at 0-3 days time lag.
  • 6. Pier 59 – The Seattle Aquarium Elliot Bay Duwamish River Image from Google Earth
  • 7. 15 Minute Data from Seattle Aquarium Station (1/2008-present) TopTurbidity (1m) Bottom Turbidity (10m) Rainfall (Mithun, Inc., 2014) (King County, 2014) Methods
  • 8. Data Processing • Remove values >500, <0 NTU • Daily average top & bottom turbidity • Daily total rainfall • Remove 1st portion of dataset • Cross-covariance analysis
  • 9. Cross-Covariance: Rainfall &TopTurbidity • 4 significant time lags, -1 year, 3 days,~25 days, ~40 days • Positive cross-covariance • Scatter Cross-covariance between rainfall and top turbidity from 8/2010 to 11/2014. Red line indicates significant correlation with 99% CI.
  • 10. Cross-covariance between rainfall and bottom turbidity, 8/2010 to 11/2014. Red line indicates significant correlation with 99% CI. • No significant cross-covariation at any time lag Cross-Covariance: Rainfall & Bot.Turbidity
  • 11. Discussion • BottomTurbidity • No cross-covariance at any time lag • Other physical drivers? • Tides, currents, waves • TopTurbidity • 3 day lag as hypothesized – urban runoff? • -1 year likely due to seasonality • ~25 and ~40 day lags?
  • 12. Where is the Runoff Originating? • Urban runoff contributes different sediment concentrations and contaminant types than runoff from undeveloped land • Sampling station influenced by Duwamish River
  • 13. Pier 59 – The Seattle Aquarium Duwamish River 2 km Elliot Bay Image from Google Earth
  • 14. • Hydraulic responses  different time lags • 3 days – urban overland • ~25 days, ~40 days – Duwamish River catchment • Source tracking of suspending sediment? • Topic for future research (Mabel, 2007) (Brown, 2010)
  • 15. Rainfall Patterns • Rainfall events span multiple days • Covariance for individual daily total rainfall • Not representative of physical processes • Future research 18 16 17 14 10 9 5 6 9 13 18 19 JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC DaysofRainfallperMonth Days of Rainfall per Month - Seattle, WA (City of Seattle, 2014)
  • 16. Stormwater Management • Combined Sewer Overflows • Dry weather may reduce sediment loading • Wet weather may drastically increase loading • Future research (King County, 2014)
  • 17. Calibration? • Turbidimeters can have calibration/performance issues • Drift • Negative values • Sensor blockages  spikes • In-situ instruments difficult to maintain • Potential impact on results (King County, 2014)
  • 18. Abrupt Jump MeasurementType Negative Values All Measurements Percent Rejected TopTurbidity 26,012 199,081 13% Bottom Turbidity 38,912 199,081 20%
  • 19. Uncertainty in Analysis Calibration Issues Not Capturing Physical Processes (Rainfall Patterns, etc.) Missing Data Conclusion • Hypothesis? • Not proven or rejected • Modifications to analysis
  • 20. Top Turbidity in Elliot Bay Overland Urban Runoff River Flows Stormwater Discharge & CSO Other Contributors toTurbidity (algae, etc.) Conclusion • Complex relationship with inputs • More research needed • Turbidity generation location • Bottom turbidity mechanisms • Impact of CSO Bottom Turbidity in Elliot Bay?
  • 22. References • Benbennick, D. An Outline Map of Washington with County Boundaries. Wikimedia Commons. 2006. http://commons.wikimedia.org/wiki/File:Map_of_Washington_counties,_blank.svg • Brown, P. Image of the Duwamish River. IvestigateWest. 2010. <http://crosscut.com/2010/12/07/environment/20426/Duwamish-River-Should-cleanup-make- fish-safe-eat-r/ > • Chelton, D. Commentary: Short-term Climatic Variability in the Northeast Pacific Ocean. Oregon State University Press: Corvalis, OR, 1984, 87-99. • Czuba, J., Magirl, C., Czuba, C., Grossman, E., Curran, C., Gendaszek, A., Dinicola, R. Sediment Load from Major Rivers into Puget Sound and its Adjacent Waters. United States Geological Survey, 2011, Fact Sheet 2011-3083. • Davis, A., Mohammad, S., Ni, S. Loading Estimates of Lead, Copper, Cadmium, and Zinc in Urban Runoff from Specific Sources. Chemosphere, 2001, 44, 997- 1009. • Elliot Bay Waterfront Recontamination Study. Washington State Department of Ecology, 1995, Panel Publication 9, Ecology Publication 95-335. • Goransson, G., Larson, M., Bendz, D. Variation in Turbidity with Precipiration and Flow in a Regulated River System – River Gota Alv, SW Sweden. Hydrology and Earth System Science, 2013, 17, 2529-2542. • Hoffman, E., Mills, Latimer, J., Quinn, J. Annual Input of Petroleum Hydrocarbons to the Coastal Environment via Urban Runoff. Can. J. Fish. Aquat. Sci., 1983, 4Q(Suppl. 2): 41-53. • Image of Seattle Waterfront. 2013. <http://thesunbreak.com/wp-content/uploads/2013/04/IMGP2905.jpg > • King County Marine Moorings. King County, WA, 2014. < https://green2.kingcounty.gov/marine-buoy/default.aspx> • Combined Sewer Overflow Status. King County, WA, 2014.< http://www.kingcounty.gov/environment/wastewater/CSOstatus/Overview.aspx > • Lahet, F., Stramskim D. MODIS imagery of turbid plumes in San Diego coastal waters during rainstorm events. Remote Sensing of Environment, 2010, 114, 332– 344. • Mabel, J. The Green River at Tukwila.. Wikimedia Commons. 2007. <http://en.wikipedia.org/wiki/Duwamish_River#mediaviewer/File:Tukwila_- _Duwamish_River_-_01.jpg > • Seattle Aquarium. Mithun, Inc. 2014.< http://mithun.com/projects/project_detail/seattle_aquarium/ > • Urban Waters Initiative, 2007, Sediment Quality in Elliot Bay. Washington State Department of Ecology, 2009, Publication 09-03-014. • Seattle Monthly Averages and Records. The City of Seattle, 2014. < http://www.seattle.gov/living-in-seattle/environment/weather/averages-and-records> • Schiff, K., Bay, S. Impacts of Stormwater Discharges on the Nearshore Benthic Environment of Santa Monica Bay. Marine Environmental Research, 2003, 56, 225-243. • Ringman, S. Runoff turns Elliot Bay into murky stew. The Seattle Times. 2011. <http://seattletimes.com/html/localnews/2013981790_elliottbay20m.html >