temporal and spatial impacts of graduated magnitudes … an… · temporal and spatial impacts of...

1
Temporal and Spatial Impacts of Graduated Magnitudes and Frequencies of Water Level Deviations Heidi Moritz 1 , Tom Smith 2 , Matt Schrader 3 , Dave Kriebel 4 , John Headland 5 , Steve Gill 6 , Rob Thieler 7 , Hans Moritz 1 , Kate White 8 1 USACE, Portland District, 2 USACE, Honolulu District, 3 USACE, Jacksonville District, 4 U.S. Naval Academy, 5 Moffatt & Nichol, 6 NOAA, Center for Operational Oceanographic Products and Services, 7 U.S. Geological Survey, 8 USACE, Institute for Water Resources Rising water levels establish a potential for erosion, but realization of the potential requires sediment redistribution, that is, work that depends on energy being available. (Responding to Changes In Sea Level: Engineering Implications, NRC, 1987. Coastal hazards vary in definition depending on the magnitude and frequency of loading contrasted to the relative capacity or vulnerability of the receiving shoreline. The vulnerability of the receiving shoreline can include such factors as geomorphology of the shoreline, mean tide range, mean wave height, nearshore coastal slope, and available sediment supply. Analysis and design related to graduated water levels must accurately portray the potential response of the structure and surrounding morphology. Depth-limited wave height Closure depth Wave run-up Nearshore slope Mulder, J.P.M., et al., Implementation of coastal erosion management in the Netherlands, Ocean & Coastal Management (2011), doi:10.1016/j.ocecoman.2011.06.009 Netherlands approach, Mulder, et al. Is the Bruun rule still the best representation of potential future shoreline response? Key Questions: If the Bruun rule is not always applicable, what method should we be using? How well does the Bruun rule (or other method) work if the sediment supply is limited? If the approach is to hold the shoreline in place, how does the profile adjust? Do we have a good perception of the frequency/volume of nourishment required to hold the line? Looking at the Netherlands approach, are we considering the basal coast line and the coastal foundation? 0.001 0.01 0.1 1 0 1 2 3 4 5 6 7 8 9 10 11 12 Monthly Water Level (ft) above present MLLW (ft) Monthly Probability Today 50 years 100 years Extremal Probability Grand Isle Curve 3 The U.S. Geological Survey is further developing a method to assess coastal vulnerability based on the six parameters noted at the left. This approach provides probabilistic estimates of shoreline vulnerability. The multi-colored ribbon around the map of the U.S. to the left and below indicates coastal vulnerability developed using this method from green (low) to red (high.)(Gutierrez, Plant, Thieler, 2011. A Bayesian network to predict coastal vulnerability to sea level rise. Journal of Geophysical Research, Vol. 116) Shoreward adjustment in closure depth Inner embayment, flooding and tidal prism effects. Increased shoreline and structure loading. Greater sediment mobilization demands. Sea level rise trends given in millimeters per year do not convey a “threat” from sea level rise. Dr. Dave Kriebel (USNA) has conducted an analysis using historical storm tides around the U.S. coastline to help with visualizing coastal flood hazards related to sea level increases. His work was patterned after the work done by Dr. Chip Fletcher at the University of Hawaii. His approach illustrates that future coastal flood hazard depends on relative sea level rise, storm tide elevation and frequency, and the applicable flood threshold at which damages occur. His analysis clearly shows that rising mean sea level will allow future storm tides to reach higher elevations than past storms and will allow this exceedance more frequently. The stage curves and frequency plots shown here are from Dr. Kriebel’s extensive study. http://www.agu.org/pubs/crossref/2011/2010JF001891.shtml > Projected extreme water level plots (low and high) include documented existing extremes from NOAA data as well as shifted extremes based on future sea level change scenarios. Open coast surges and wave run-up are not included. -6 -4 -2 0 2 4 6 8 10 12 14 16 18 Existing Low SLC High SLC Water Level Elevation (ft, MLLW) Projected Extreme Water Level Excursions to 2110 San Francisco, California (relative to present day MLLW (1983-2001 NTDE) +8.5 ft MLLW +13.9 ft MLLW +9.3 ft MLLW +2.8 ft MLLW -1.7 ft MLLW -2.5 ft MLLW Low Sea Level Change = +0.8 ft High Sea Level Change = +5.4 ft New Datum New Datum -4.6 -4.6 -4.6 0 +8 +16 +19 +24 -10 -5 0 5 10 15 20 25 30 Elevation (ft, MLLW) Potential Energy Related to Higher Water Column MSL Base of Dune Threshold Tidal Range Storm Surge, Infragravity (Seasonally) Storm Surge, IG Seasonal, Inter-annual Increases (Inter-annually) Storm Surge, IG Seasonal, Inter-annual Increases, High SLR (Long-Term Shift) Dune Crest -20 -10 0 10 20 30 -50 0 50 100 150 200 250 300 350 400 450 Elevation (MLLW, ft)

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Page 1: Temporal and Spatial Impacts of Graduated Magnitudes … an… · Temporal and Spatial Impacts of Graduated Magnitudes and Frequencies of Water ... mean wave height, nearshore

Temporal and Spatial Impacts of Graduated Magnitudes and Frequencies of Water Level Deviations Heidi Moritz1, Tom Smith2, Matt Schrader3, Dave Kriebel4, John Headland5, Steve Gill6, Rob Thieler7, Hans Moritz1, Kate White8

1USACE, Portland District, 2USACE, Honolulu District, 3USACE, Jacksonville District, 4U.S. Naval Academy, 5Moffatt & Nichol,

6NOAA, Center for Operational Oceanographic Products and Services, 7U.S. Geological Survey, 8USACE, Institute for Water Resources

Rising water levels establish a potential for erosion, but realization of the potential requires sediment

redistribution, that is, work that depends on energy being available. (Responding to Changes In Sea

Level: Engineering Implications, NRC, 1987.

Coastal hazards vary in definition depending on the magnitude and frequency of loading contrasted to the relative capacity or vulnerability of the receiving shoreline. The vulnerability of the receiving shoreline can include such factors as geomorphology of the shoreline, mean tide range, mean wave height, nearshore coastal slope, and available sediment supply.

Analysis and design related to graduated water levels must accurately portray the potential response of the structure and surrounding morphology.

Depth-limited wave height Closure depth Wave run-up Nearshore slope

Mulder, J.P.M., et al., Implementation of coastal erosion management in the Netherlands, Ocean & Coastal Management (2011), doi:10.1016/j.ocecoman.2011.06.009

Netherlands approach, Mulder, et al.

Is the Bruun rule still the best representation of potential future shoreline response?

Key Questions: • If the Bruun rule is not always applicable, what method should we be using? • How well does the Bruun rule (or other method) work if the sediment supply is limited? • If the approach is to hold the shoreline in place, how does the profile adjust? • Do we have a good perception of the frequency/volume of nourishment required to hold the line? • Looking at the Netherlands approach, are we considering the basal coast line and the coastal foundation?

0.001

0.01

0.1

1

0 1 2 3 4 5 6 7 8 9 10 11 12

Monthly Water Level (ft) above present MLLW (ft)

Mon

thly

Pro

babi

lity

Today50 years100 years

Extremal Probability Grand Isle Curve 3

The U.S. Geological Survey is further developing a method to assess coastal vulnerability based on the six parameters noted at the left. This approach provides probabilistic estimates of shoreline vulnerability. The multi-colored ribbon around the map of the U.S. to the left and below indicates coastal vulnerability developed using this method from green (low) to red (high.)(Gutierrez, Plant, Thieler, 2011. A Bayesian network to predict coastal vulnerability to sea level rise. Journal of Geophysical Research, Vol. 116)

Shoreward adjustment in closure depth

Inner embayment, flooding and tidal

prism effects. Increased shoreline

and structure loading. Greater sediment

mobilization demands.

Sea level rise trends given in millimeters per year do not convey a “threat” from sea level rise. Dr. Dave Kriebel (USNA) has conducted an analysis using historical storm tides around the U.S. coastline to help with visualizing coastal flood hazards related to sea level increases. His work was patterned after the work done by Dr. Chip Fletcher at the University of Hawaii. His approach illustrates that future coastal flood hazard depends on relative sea level rise, storm tide elevation and frequency, and the applicable flood threshold at which damages occur. His analysis clearly shows that rising mean sea level will allow future storm tides to reach higher elevations than past storms and will allow this exceedance more frequently. The stage curves and frequency plots shown here are from Dr. Kriebel’s extensive study.

http://www.agu.org/pubs/crossref/2011/2010JF001891.shtml >

Projected extreme water level plots (low and high) include documented existing extremes from NOAA data as well as shifted extremes based on future sea level change scenarios. Open coast surges and wave run-up are not included.

-6

-4

-2

0

2

4

6

8

10

12

14

16

18

Existing Low SLC High SLC

Wa

ter

Le

ve

l E

lev

ati

on

(ft

, M

LLW

)

Projected Extreme Water Level Excursions to 2110San Francisco, California

(relative to present day MLLW (1983-2001 NTDE)

+8.5 ft MLLW

+13.9 ft MLLW

+9.3 ft MLLW

+2.8 ft MLLW

-1.7 ft MLLW-2.5 ft MLLW

Low Sea Level Change = +0.8 ft

High Sea Level Change = +5.4 ft

New Datum

New Datum

-4.6 -4.6 -4.6

0

+8

+16

+19

+24

-10

-5

0

5

10

15

20

25

30

Elev

atio

n (f

t, M

LLW

)

Potential Energy Related to Higher Water Column

MSL

Base of Dune Threshold

Tidal Range Storm Surge, Infragravity(Seasonally)

Storm Surge, IGSeasonal, Inter-annual

Increases(Inter-annually)

Storm Surge, IGSeasonal, Inter-annual

Increases, High SLR

(Long-Term Shift)

Dune Crest

-20

-10

0

10

20

30

-50 0 50 100 150 200 250 300 350 400 450

Elev

atio

n (M

LLW

, ft)