CEE 514 Term Project

 

Wave Power and Coastline Recession Rate:

 Are they Related?

 

by Lisa Brown

 

Abstract

 

Detailed shore elevation surveys and nearshore lake bottom profiles have been carried out at four coastal sites on the Great Lakes.  Two sites are in Wisconsin near Two Rivers and Port Washington.  One site is near St. Joseph, MI and the fourth is near Painesville, OH.  The shoreline at all four sites consists of till bluffs between 30 and 140 feet high.  Shoreline retreat due to recession of the till bluffs has been recorded, to varying extents, at all four sites.  Data collected at NOAA’s moored buoys located near the sites include wave data summaries of the dominant wave period and significant wave height between 1981 and 1993.  Buoy data summaries from the nearest buoys to the study sites were used to estimate the peak incident wave height and period.  The wave breaking depth was calculated based on these deep water wave characteristics and compared to the depth of longshore bars in the surveyed profiles.  The breaking depths agreed with the depth of the longshore bars in the two Wisconson shore reaches along which relatively few coastal structures have been placed.  The breaking depths are calculated to be half of what the measured bar depths are for the remaining two, more developed shoreline sites.  This is consistent with the expectation that a partially standing wave may develop in the presence of onshore parallel coastal structures and cause the breaking depth to be twice what would be expected of a progressive wave approaching an untouched coastline.  The run-up is calculated based on the beach slope and the incident wave characteristics.  As run-up is higher for steeper beaches and steeper beaches are built under calm wave action, run-up may not be a relevant parameter to predict bluff recession.  Wave power, however, is found to show a positive relationship with recession rate based on Two Rivers, WI profiles.

1.0 Project Motivation

 

The Great Lakes present numerous technical challenges for coastal engineers.  The prediction that population, employment, and per capita income in the Great Lakes Region will double between 1970 and 2020 enhances the importance of the role of coastal engineers who attempt to predict the timing of future high and low water levels, to establish setbacks for new developments, and to isolate areas at risk of flooding and/or bluff erosion.  The erosion of the bluffs on the Great Lakes affects people on a multitude of levels.  Homeowners whose house and property are on the shores of these lakes stand to lose some of their land and, even worse, their houses.  Visitors to the shores of the lakes may be threatened by a flow of sediment rapidly sliding down the slope.  Regulatory agencies are left with the responsibility of establishing setbacks of buildings from the bluff based on historical erosion rates. 

 

The subject of my Masters research project is a study of the erosion processes occurring on the shores of Lake Michigan and Lake Erie for the purpose of predicting the volume of sediment entering these lakes from the coastal bluffs.  In carrying out the initial stages of this research I became interested in the mechanisms involved in causing these bluffs to continually to erode.

 

All potential contributing forces to bluff erosion are of interest.  Known sources of erosion include the following:

 

1.Surface Water Runoff

2.Bluff Slumping Action

3.Sliding

4.Groundwater Seepage and Septic Outflow

5.Wind Erosion

6.Rain, Rill and Gully Erosion

7.Bluff Toe Erosion Due Wave Attack

 

The latter point, the wearing away at the toe of the bluff due to wave action during high wind/storm events, is considered the dominant contributor to the long-term erosion of the bluffs.  coastalerosion.jpg

 

Without the wave attack factor, erosion mechanisms 2 and 3 would occur until the slope of the bluff is “stable” and no further significant shoreline retreat would be seen.  Once this stable configuration is reached, mechanisms 1, 4, 5 and 6 would then be the dominant erosive forces on the stable overall slope.  These mechanisms are expected to contribute less to the long-term total bluff erosion than the wave attack factor does. 

 

When the waves reach the bluffs, the toe of the slope is eroded by the wave action, thus destabilizing the overall slope.  Over time, the slope is destabilized to the point that the down-slope driving forces exceed the resisting forces and a part or the entire slope fails (by slumping or sliding).  The destabilization of the bluffs by waves is considered to be the main reason that the bluffs are continuing to recess over hundreds of years’ time.  To better understand this process, it is important to understand the properties of the waves that reach the shoreline and to understand how their energy is transformed into such a powerful source of erosion.

2.0     The Coastal Environment of the Targeted Areas and the Issues for this Project

 

The project for which I am currently employed involves six shoreline study sites.  I will incorporate information from four of these six sites for the purpose of this project and carry out some more detailed analysis on one of these sites in particular.  The Great Lakes sites considered for this coastal project include two sites located on the western shore of Lake Michigan, one near Two Rivers, WI and the other near Port Washington, WI.  A third site is close to St. Joseph, Michigan on the eastern shore of Lake Michigan.  The fourth site is on the southern shore of Lake Erie near Painesville, Ohio.  study_sites.jpg

 

The troughs of land that are now filled with the waters of the Great Lakes were gouged out by glaciers over a series of ice ages, the most recent of which occurred between 18,000 and 13,000 years ago.  As the glaciers retreated, they deposited a layer of glacial till on the land and lake bottom surfaces.  The glacial till is made up of an unsorted mix of boulders, cobbles, sand and cohesive particles.  The bluff stratigraphy is generally two or more layers of glacial till from one or more glacial advances interlayered with a varved fine sand-silt sequence.  The lake bottom consists of a cohesive substrate underlying a veneer of fine to medium sized sand that is continually being reshaped by the wave-induced currents that develop in the surf zone and through turbulence generated by breaking waves.  Wave-induced sediment transport occurs both in the on and offshore directions and in the alongshore direction.

 

The coastal environments of these sites are described in the paragraphs below.  Some of the calculations discussed will focus on one the Two Rivers site, the coastal environment of which is described in more detail than the remaining three sites.

 

2.1     Two Rivers, Wisconsin Site

 

This stretch of coastline is slightly more than 3 miles long and the shores are relatively sparsely populated.  The Kewaunee Nuclear Power Plant is located at the north end of the site.  TR-photo.jpg   A wall of rubble mound has been placed at the base of the bluff from the Kewaunee Plant location to a point approximately 1 mile along the coast to the south.  The Two Creeks Buried State Forest is located one mile south of the Kewaunee Plant.  State Route 42, a major coastal highway linking the cities of Manitowoc and Kewaunee, passes near the lakeshore at a location a few hundred feet north of the State Forest.  Two Creeks County Park, which includes a public boat access, is located about 2 miles south of the Kewaunee Plant.  At the extreme south end of the site is the Point Beach Nuclear Power Plant.  Both power plants in the site area likely use lake water as a cooling agent.  An intake is shown adjacent to and offshore from the Point Beach plant.  Two_Rivers_map.jpg

 

The soil bluffs at the lakeshore consist of, from top to bottom, desiccated glacial till, fine-grained lake sediments, and a lower till.  The groundwater table is general situated near the interface between the upper till and the lake sediments.  Two_Rivers_bluff.jpg  The bluffs are generally 30 feet high above beach level, but are as low as 10-20 feet high near the Point Beach Plant. The elevation contours in the map are referenced to the National Geodetic Vertical Datum of 1929.  The soundings shown are in feet and the datum is a low water level of 576.8 feet.

 

2.2     Port Washington, Wisconsin

 

The bluffs at the Port Washington site are the highest in the overall study, reaching about 140 ft in height.  Failures are large, deep-seated slumps that are modified by shallow slides and slumps.  Port Washington is populated sparsely and to about the same degree as the Two Rivers site.  Very few coastal structures are in place along this reach of the coast.

 

 

 

2.3           Painesville, Ohio

 

The bluffs at Painesville consist mostly of compact, silty till and thin lake sediment that is being severely eroded at the base by wave action.  Shallow slides and slumps dominate the present failure mode, although large slumps have occurred in the recent past and there is potential movement on these failure surfaces as well.  There is a very limited beach and, in some sections, no beach at all.  This site is the most populated of the four sites being considered.  A number of coastal structures have been placed at the base of the bluffs to halt the recession of the coastline.  The dates of installation and nature of the coastal structures are not known at this time.

 

2.4           St. Joseph, Michigan

 

The bluffs at St. Joseph, MI have historically suffered a great deal of bluff recession.  The bluffs reach up to 100 ft in height and consist mostly of glacial till in the upper part and sand in the lower part of the slope.  In the southern part of the reach the bluff is entirely sand.  Limited wave erosion at the base still produces some undercutting of the toe of the slope, although with the present low water conditions most waves are not extending beyond the revetments, vertical sheet piles or other coastal structures that are currently in place.  Houses have recently been removed from the bluff top in the central part of the reach.

 

3.0           Approaches to the Issues

 

3.1          Available Data and Deep Water Wave Characteristics

 

A number of combined bluff profile survey / bathymetric soundings were carried out on each of the four sites.  A survey station was set up on the beach near the base of the bluff.  From this vantage point, the offshore surveys could be carried out with the boat always in the sight line of the survey station.  Sounding depths were collected, with the still water level being the reference elevation, out to a point 1500 feet or more offshore.  The sounding data was collected using a fathometer.  The accuracy of the depths is considered to be within about 5 cm.  The accuracies of the lateral positioning and vertical sounding depths need to be confirmed.

 

Offshore wave information is collected at offshore moored buoy stations.  The information is available on the NOAA website.  A map of the buoys currently in operation is found at:

 

http://www.ndbc.noaa.gov/stuff/greatlake/grtlmap.shtml. 

 

Of the available wave information that is regularly collected at the moored buoy locations, the summaries of dominant wave period and significant wave height representative of the period spanning July, 1981 to November, 1993 were incorporated this study.  Theories relating to wind-generated waves were used to extract peak significant wave height and associated wave period information.  The distribution of wave heights generated during a storm has been demonstrated to be well defined by a Rayleigh probability distribution (Sorenson, 1997).  Employing this distribution leads to the following relationships

 

Hs = 1.416 Hrms

 

Hmax = 2.366 Hrms

 

Where Hs = significant wave height, usually H33 or average height of highest one third of waves, and

           Hrms = root mean square wave height

           Hmax = maximum wave height

 

Oschi (1982) recommends the following relationship between T100, the average period and Tp, the wave period at the spectral peak) based on empirical wave data:

 

T100 = 0.77 Tp

 

The average significant wave height was based on the 1981-93 wave record summaries.  Since the soundings were carried out in June, the mean wave height data representing the summer months, April to September, were averaged to compute the Hs for use in the above relations.  The T100 values are the average of the mean dominant wave periods recorded between April and September.

 

3.2     Wave Run-up

 

Once a wave breaks, it releases some of its contained energy.  The remainder of the energy it has will be expressed in its ability to run up the face of the beach and possibly partially up the bluff slope.  The run-up is defined as the maximum vertical elevation above the still water level to which the water from the breaking waves rises on the beach or structure.  The run-up magnitude is dependent on the wave height and period of incident deep-water waves, the surface slope and profile of the shore and the nearshore, the toe depth, and the roughness and permeability of the slope face.

 

As the nearshore slope information is much more detailed where soundings have been carried out, these sections will be used for the run-up calculations.  The run-up factor, r, discussed in Sorenson (1997), is unknown for a sandy beach. However, the run-up factor would serve only to reduce the expected run-up so our calculations yield conservative run-up values.  The Hunt and Walton method (Hunt ,1959 and Walton et al, 1989), the Army Corps of Engineers method were used to confirm the run-up values obtained from the ACES program available on the Army Corps of Engineers website.  http://chl.wes.army.mil/software/aces/

 

While the wave run-up is clearly an important analysis for determining the height of a coastal structure, the relationship of wave run-up to the attack of the bluffs by waves is not as clear-cut.  It is important to know whether wave energy with a significant velocity and mass will reach the bluff at all.  However, run-up magnitude increases as the slope of the beach that intersects the still water line increases.  The steeper the beach is, the less lateral impact this body of water mass would have.  Since there has been insufficient research to determine the erodibility of the bluffs and the method normalizing of the impact of the wave arriving at the beach into a primarily destabilizing force is not well known, the relationship between run-up and bluff recession is not likely to be a direct one.  This is indeed confirmed by our analysis (see Section 4.0).

 

3.3     Wave Impact on Coastal Structures

 

Waves are commonly the principal source of loading and sediment transport considered in the design of coastal structures (Sorensen, 1997).  A significant amount of research has been carried out for the purpose of designing coastal structures whereas the impact of waves on natural earth structures, such as till bluffs, is not as well known.  There are likely some principles being applied to coastal structure design that can help us understand the transfer of wave energy reaching the shore to the destabilization of the till bluffs. 

 

When waves break at a point seaward of the structure, this structure can be impacted by a force from the surge of water from the breaking wave.  A conservative assumption proposed by the U.S. Army Coastal Engineering Research Center (1984) is that the mass of water that surges towards the shore does so with a velocity equal to the wave celerity at breaking.  Assuming the wave breaks under shallow water conditions,

 

V = Ögdb

 

Where db = the depth at which the wave breaks

V= velocity of breaking water mass

 

The vertical thickness of the water mass is assumed to be equal to the crest amplitude at breaking.  The water velocity and vertical thickness are assumed to remain constant until reaching the structure or the still water line (whichever comes first).  If the structure is located landward of the still water line, the water velocity and vertical thickness are assumed to decrease from the values at the still water line to zero at the hypothetical point of maximum wave run-up (i.e. the maximum run-up that would occur if no structure existed but the beach continued at a constant slope).  The kinetic energy of this water mass is converted to a dynamic pressure that acts as a net impact force on the face of the structure.

 

3.4     Wave Impact on Coastal Bluffs

 

The discussion in the Section 3.3 suggests that the energy or energy flux (power) that the wave has upon breaking is close to the power carried by the wave to the bluff if the bluff is below the still water level or carried to the beach if the bluff is above the still water level.  Consequently, the position of the base of the bluff with respect to the still water line has a significant impact on the degree of influence that the wave energy have on recession rates.  Unfortunately, we do not have profiles that have been accurately re-surveyed in years of high lake levels and years of low lake levels or fine enough recession time intervals to observe first-hand the influence that a changing lake water level has on the rate of bluff recession.  From an observational standpoint, the best we are able to do to link the wave power and the recession rate is to use wave data from the same period of time and location to compute a “representative” peak wave power.  We expect that this representative peak wave power will have a positive relationship with recession rate.  If we find that this is the case, then we have data that would encourage some more theoretical studies to be carried out using scale models in a laboratory. Such studies might enable us to better understand the frictional characteristics of sand beaches, the erodibility of the bluffs and the effect that the wave power that arrives at the still water line from the breaking depth has on the bluffs.  This is discussed more in Section 6.0.

 

3.5           Coastal Zone Processes and Breaking Depth

 

A beach is continually reshaped as waves reach the sandy shores of these sites, break and run up the beach/slope face.  Wave-induced currents develop in the surf zone.  The turbulence that is created as the wave breaks and the mass of water that rushes up and down the beach face create a never-ending cycle of beach profile change.   Sediment is transported both in the alongshore (parallel to shore) and cross-shore (perpendicular to shore) directions. 

 

The zone of active coastal processes extends from an onshore landmark to a point offshore where there is little significant wave-induced sediment transport.  For the open ocean, this point occurs at a depth of about 10 meters’ depth (Sorensen, 1997).  From the base of the bluff towards the water, up to two flat berms, representative of the winter and summer depositional conditions (in that order), often can be seen on the beach.  In the nearshore zone, the profile is generally concave in profile.  During a long period of relatively calm wave action, the foreshore is nourished by sand sediment and the point at which the still water line meets the beach moves seaward.  The slope of the profile in the foreshore during a calm period is steeper than the slope in the foreshore following a period of storm wave action.  Steep, high storm waves transport the sand in a seaward direction.  This results in a flatter slope profile that extends farther up the beach than the calm condition profile. 

 

The sand that is transported offshore during storm conditions builds up a prominent offshore bar at the location where the waves are breaking.  As the waves become higher the bar will move seaward and the size of the bar will grow.  The onset of lower energy waves may trap the deep-water bar and start forming a new, smaller bar closer to the shore.  During extremely low wave conditions no bars are built. 

 

From the above discussion, a great deal can be learned about the incident wave characteristics from the nature of the beach profile.  To confirm the wave characteristics that are calculated based on the procedure outlined in Section 3.1, we can determine the expected breaking depth and compare this with the measured depth of the bar based on our surveyed profiles.  The breaking depth can be determined from empirical curves developed from a number of experiments that have been done to investigate nearshore breaking conditions in the laboratory.  Figures 2.11 and 2.12 in Sorensen (1997) are commonly used for estimating breaking conditions.  Figure 2.11 correlates dimensionless breaker height, Hb/Ho’ to deep water steepness, Ho’/gT2 for varying bottom slopes.  Once the breaker height is known, Figure 2.12 can be used to determine the breaker depth, given the bottom slope and breaker steepness.

 

 

3.6     Wave Power

 

Wave power is the wave energy per unit time transmitted in the direction of wave propagation.  As this study does not consider the dominant wind direction of the waves incident to the shorelines of these sites, the waves are considered to be propagating normal to the shoreline.  The general expression for wave power derived in Sorensen, 1997 is:

 

P = nE/T

 

Where P = power in Watts/m

n = 1 for shallow water waves

          E = total kinetic and potential wave energy, in Joules/m

          T = wave period in sec.

 

For shallow water waves, the above expression becomes:

 

P = rgH2Lo/8T

 

Where r = density of water, 1000 kg/m3

          g = acceleration due to gravity, 9.81 m/s2

          Lo = wave length in meters

The power was determined for waves approaching the shore at the breaking depth.  Since the waves at the breaking depths are shallow water waves, the wave length, Lo is calculated using the deep water wave length formula as follows:

 

Lo = gT2/2p

 

 

3.7     Bluff Recession

 

The positions of the top and bottom of the bluffs have been mapped from airphotos taken in 1996 of the Two Rivers Site.  Airphotos taken in 1952 were used for mapping the position of the top of the bluff, but were not of sufficiently good quality for locating the bottom of the bluff.  The change in position from the 1952 top-of-bluff position to the 1996 top-of-bluff position will be used to estimate the magnitude of bluff top recession across the site for this 44-year period.  As the lines were drawn from photos taken from high-flying aircrafts, the accuracy of their position will likely not be greater than about 5-10 feet.  The bluff positions have been digitized into ArcView format using the Wisconsin coordinate system-south zone projection.  The locations of the nearshore sounding profiles were converted from latitude and longitude to northing and easting values in the Wisconsin coordinate system in order to determine the recession rate at the positions of the profiles.

 

4.0          Results

 

This section provides the results of the analyses described in Section 3.0. 

 

4.1           Deep Water Wave Characteristics

 

Of the moored buoy stations shown on the NOAA website (see Section 3.1), Stations 45002 and 45007 (Lake Michigan) and 45005 (Lake Erie) were of use for this study.  Table 4.1 summarizes the station location, the coastal site for which the station’s information was used and the pertinent deep water wave characteristics.

 

Table 4.1 Moored Buoy Stations and Deep Water Wave Characteristics for April-Sept.

Station à

45002

45007

45005

Website of buoy

http://www.ndbc.noaa.gov/station_page.phtml?$station=45002

http://www.ndbc.noaa.gov/station_page.phtml?$station=45007

 

http://www.ndbc.noaa.gov/station_page.phtml?$station=45005

Location

51 NM Northeast of Sturgeon Bay, WI

43 NM East Southeast of Milwaukee, WI

28 NM Northwest of Cleveland, OH

Water Depth

174.4 m

164.6 m

14.6 m

Site Data Used For

Two Rivers, WI

Port Washington, WI

St. Joseph, MI

Painesville, OH

T100

3.65 s

3.72 s

3.22 s

Hs

0.58 m

0.58 m

0.50 m

Hrms

0.41m

0.41 m

0.35 m

Hmax

0.98 m

0.98 m

0.84 m

Tp

4.74 s

4.83 s

4.18 s

 

4.2           Breaking Depth – Calculated And Observed

 

The breaking depths were calculated for each of the four sites given the wave information provided in Table 4.1.  The results are shown in Table 4.2. The wave breaking slope, m, is the slope (i.e. the tangent of the slope off the horizontal) approaching the most prominent offshore bar from the seaward direction. 

 

Table 4.2          Calculated Breaking Height and Breaking Depth and Measured Breaking Depth

Site

Wave Breaking Slope, m – average of profiles

Calculated Breaking Height, Hb

[m]

Calculated Breaking Depth, db

[m]

Average of Measured Breaking Depth

[m]

Two Rivers, WI

0.018

1.1

4.2

4.1

Port Washington, WI

0.021

1.1

4.1

4.5

St. Joseph, MI

0.031

1.2

4.2

8.9

Painesville, OH

0.023

0.9

3.4

9.3

                   

A plot of the calculated breaking depths versus the measured breaking depths as shown in Table 4.2 is attached. Bar_Depth_vs_Breaking_Depth.jpg

 

4.3           Wave Run-up

 

Despite the uncertain correlation of run-up with recession rate, the run-up was calculated at with the interest of at least finding out whether or not the waves reach the base of the bluff under high-energy conditions at the current lake levels.  For the Painesville site, the run-up was calculated using the Hunt and Walton method (Hunt ,1959 and Walton et al, 1989), and U.S. Army Corps of Engineers methods as well as the ACES program.  This was done to verify the ACES program results.  Once it became clear that the program produced consistent run-up values, the ACES program was used to calculate run-up for the Two Rivers and Port Washington sites.  As the nearshore conditions at St. Joseph were not amenable to wading survey profiling, the beach slopes were not obtained for the site.  The Port Washington profiles were not analyzed.  Table 4.3 summarizes the run-up analyses.  The run-up slope is the tangent of the angle of the beach slope where it intersects the still water line. 

 

Table 4.4. Run-up Results

Site

Profile

Run-up Slope

Predicted Runup [Hunt and Walton]

 

[m]

Predicted Run-Up [U.S. Army Corps of Engineers]

[m]

Average Run-up from ACES program

[m]

Two Rivers, WI

WTR-1

0.009

 

 

0.55

 

WTR-2

0.098

 

 

0.60

 

WTR-3

0.123

 

 

0.70

 

WTR-4

0.133

 

 

0.73

 

WTR-5

0.130

 

 

0.72

Painesville, OH

P-4

0.150

0.72

0.92

0.66

 

P-5

0.053

0.26

0.39

0.32

 

P-6

0.047

0.22

0.33

0.30

 

P-7

0.136

0.65

0.80

0.62

 

P2610

0.051

0.24

0.35

0.31

 

P-8

0.075

0.36

0.44

0.41

 

The wave run-up is plotted against run-up slope in the attached figure. Two_Rivers_Run-up.jpg

 

4.4           Wave Power and Bluff Recession

 

The wave power at the breaking wave location was calculated for the five profiles of the Two Rivers Site.  The wave power and recession of the top of the bluff between 1952 and 1996 are summarized in Table 4.5. 

 

Table 4.5          Wave Power and Recession Rates for Two Rivers, WI profiles.

Profile

Wave Power

 

[Watts/m]

Recession of Top of Bluff between 1952 and 1996

[m]

WTR-1

4,694

35

WTR-2

3,498

42

WTR-3

3,848

22

WTR-4

3,556

20

WTR-5

3,724

23

 

A plot of wave power versus recession rate for the five Two Rivers profiles is attached. TR_Power_vs_Recesion.jpg

 

5.0           Discussions

 

As stated in Section 3.1, the deep-water wave characteristics are taken from summaries of data collected at offshore moored buoys.  It is not known how long these buoys have been in place, but the wave data summaries are only provided for the time period between 1981 and 1993.  This is a much shorter time period than the time span for which recession rates are given.  If use of the wave data summary is valid for calculations like the ones carried out for this study, the dates between which recession has been measured should match the dates between which wave data is collected to obtain truly representative wave characteristics.   Unfortunately, wave data has only been collected for about the last 30 years.

 

Relationships derived from the Rayleigh probability distribution for storm wave heights were used to calculate the peak wave height from the mean significant wave height.  The mean significant wave heights used were an average of the mean monthly values between April and September based on the wave summaries.  The use of the Rayleigh probability distribution requires that the wave spectrum has a single narrow band of frequencies and that the individual waves are randomly distributed.  This distribution has been found to be acceptably close to distributions created based on observed wave heights during storms.  However, the wave height summary contains storm and non-storm wave data.  The distribution of all wave heights between 1981 and 1993 may not be well represented by a Rayleigh distribution.  Moreover, the narrow band of frequency criterion may not be satisfied by the wave data used for the summary.  The recommended empirical relations between the average and the peak dominant wave periods has not been verified by site-specific data.

 

Despite the above limitations on our deep-water wave properties, the calculated breaking depths agree very well with measured bar depths.  The calculated breaking depths came within 0.4 meters of the average measured depths of the longshore bars for both Wisconsin sites.  For the St. Joseph, MI and Painesville, OH sites the 1999 measured bar depths were just over twice the calculated breaking depths.  These two sites are much more developed than both Wisconsin sites.  At the St. Joseph site, vertical sheet piling has been placed below the beach around the still water level to prevent further bluff recession.  Shore-parallel onshore structures impact littoral processes in two ways.  By preventing erosion of the shore, the source of sediment for longshore transport is reduced.  If such structures are installed seaward of the water line, the size and transport capacity of the surf zone will be reduced unless the increased agitation in the surf zone due to the structure counteracts this effect.   Due to the existence of these coastal structures, we would expect higher incident wave reflection coefficients and a modified breaking wave criteria.  If a partially standing wave develops at these structures, the breaking depth would be twice that expected of a progressive wave.  If we double the calculated breaking depths given for St. Joseph and Painesville in Table 4.2, the values come very close to the observed bar depths.

 

Wave run-up was calculated based on the Hunt and Walton Method and the Army Corps of Engineers’ method.  The calculated values were compared to the output from the ACES program.  Given the beach slope and the incident deep-water wave height and wave period, the ACES program provides:

 

Ø     The Maximum Wave Run-up,

Ø     The Run-up Exceeded by 2% of the Run-up,

Ø     The Average Highest 1/10th of Run-ups,

Ø     The Average Highest 1/3rd of Run-ups, and

Ø     The Average Wave Run-up.

 

Of these five run-up values, the average wave run-up from the ACES program comes the closest to the values obtained from using the Hunt and Walton and the Army Corps of Engineers methods.  This is the reason only the average wave run-up is reported on Table 4.4.  Further to the discussion in Section 3.2, however, the maximum wave run-up can indicate whether or not the waves reach the bluff under the current still water level.  From the attached figure that shows Two Rivers section WTR-1, (WTR-1_profile.jpg) including the base of the bluff and the maximum run-up elevation, it is clear that the maximum run-up does not currently reach the base of the bluffs.

 

Since run-up is a function of the slope geometry, the position of the still water line with respect to the bluffs, the grain size distribution of the beach slope as well as the incident wave characteristics, it is difficult to determine a “representative” run-up for a 30-year time period.  Over the past 30 years the lake levels have fluctuated dramatically and the slope profiles have changed.  Moreover, there is currently no clear way to relate the run-up to the erosion of the bluffs over time.  Actually, the calculated run-ups are greater for the steeper sloped beaches (i.e. calm wave conditions) than for the shallow sloped beaches that are more representative of erosive, high-energy wave conditions.  Higher recession rates have been observed for the shallow sloping beaches than for the profiles with steeper beaches.  This suggests that there may be somewhat of an inverse relationship between wave run-up and recession, but more research needs to be carried out on this subject before any such generalizations can be made.

 

The wave power – bluff recession plot based on the five Two Rivers profiles and wave data (see Section 4.4) shows encouraging results.  We would expect the incident wave power to be related to the ability of the waves to erode the shoreline, and our preliminary analysis shows that the rate of recession generally increases as the power of the incident waves increase.  The outlier on this graph may be explained by a discrepancy between the two types of nearshore profiling surveys.  One of the surveys involved wading out into the water from the beach and taking depth readings.  A second survey was carried out from a boat.  These two profiles mesh very well for profile WTR-1, but do not agree very well in profiles WTR-2, WTR-3, WTR-4 and WTR-5.  Profiles WTR-1 and WTR-2 show, by far, the greatest degree of recession over the 44-year period measured.  The top of the bluff has retreated by 35 and 42 ft for WTR-1 and WTR-2 respectively.  The remaining three profiles have shown 20-23 feet of recession.  The crest of the prominent longshore bar on profile WTR-1 is located about 280 feet from the base of the bluff and 5.4 feet below still water level.  A slightly less prominent longshore bar is located at the same distance offshore from the bluff in profile WTR-2 but only 3 feet below the still water level.  Consequently, the calculated wave power at WTR-2 is significantly less than the wave power at WTR-1.  Profiles WTR-3, WTR-4 and WTR-5 show bars located about 125 feet offshore and at depths between 3.1 and 3.6 ft below still water level.  The lateral position of the bar in WTR-1 suggests higher wave power than these profiles.  It is hoped that this years’ surveys of the same profiles will clear up this discrepancy.

 

6.0           Future Work

 

The following paragraphs outline the future work needed for this study and considerations for future studies of this nature.  Sediment samples have been collected at points of increasing depth in the nearshore zone.  It would be interesting to compare the grain size distributions of these samples with the positions in the cross-shore profiles from which the samples were taken.  We would expect samples retrieved from the breaking depth position to be representative of a higher energy condition and therefore have greater grain sizes than samples retrieved from the small “basins” we see immediately in front of the bars on the landward side. 

 

As stated in Section 3.6, the predominant wind direction is not taken into account in any of the calculations but most notably for the wave power calculations.  The waves were assumed to progress normal to the shoreline at every profile location.  We know that this is not really the case.  For example, the winds are mainly from the North and Northeast at the Two Rivers site.  Taking into account this wind factor, the closer the wind direction is to a shore-normal orientation, the higher the percentage of wave power that will reach the beach and have potential to destabilize the bluffs.  As wind data is collected at NOAA’s moored buoys, the information is available to make such wind direction-correction to wave power.

 

The accuracy the nearshore profiles need to be improved.  The longshore bars often are situated where the wading survey and boat survey overlap and there is often a discrepancy between the depth of the bar based on the two surveys.  It is hoped that this year’s surveys will be of improved quality.  The accuracy of the sounding equipment should be verified.

 

The observations that we have made suggest the need for more data to include on the wave power-recession plot.  If several sites’ data are including on such a plot, we will be able to make some initial judgements on how site-specific the relationship is and whether or not the relationship holds for a number of coastal settings.

 

There is also a need to improve our assessments of the wave characteristics representative of the time period over which we have bluff recession data.  The wind-generated wave theories used are based on storm events and may not apply for wave data averaged over storm and non-storm periods.

 

There is a possibility that some additional wave data-collecting offshore buoys are located closer to our sites.  If this is the case, data from closer locations would improve our estimates of the deep water wave characteristics for use in calculating the wave power.

 

7.0           References

 

  1. National Oceanic and Atmospheric Administration (NOAA) website:

http://www.co-ops.nos.noaa.gov/

  1. SeaGrant Website  http://h2o.seagrant.wisc.edu/
  2. Sorensen, R.M. (1997), Basic Coastal Engineering, Chapman & Hall, New York
  3. U.S. Army Coastal Engineering Research Center (1984), Shore Protection Manual, U.S. Government Printing Office, Washington, D.C.

5.  Oschi, M.K. (1982), “Stochastic Analysis and Probabilistic Prediction of Random Seas,” Advances in Hydroscience, Vol. 13, pp. 218-375