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SEDIMENTS OF SAGINAW BAY, LAKE HURON: 
ELEMENTAL COMPOSITION AND ACCUMULATION RATES 



John A. Robbins 

Great Lakes Environmental Research Laboratory 

2300 Washtenaw Avenue 

Ann Arbor, Michigan 48104 



Grant No. R804686 



Project Officer 

Michael D. Mullin 

Large Lakes Research Station 

Environmental Research Laboratory-Duluth 

Grosse He, Michigan 48138 



ENVIRONMENTAL RESEARCH Li^.BORATORY-DULUTH 

OFFICE OF RESEARCH AND DEVELOPMENT 

U.S. ENVIRONMENTAL PROTECTION AGENCY 

DULUTH, MINNESOTA 55804 



Special Report No. 102 of the 
Great Lakes Research Division 

Great Lakes and Marine Waters Center 
The University of Michigan 
Ann Arbor, Michigan 48109 



1986 



ABSTRACT 

During the period from 1975 through 1978, sediment cores and grab samples 
were obtained from over 100 sites in lower Saginaw Bay. Selected samples were 
analyzed for grain size, organic and inorganic carbon, over 30 elements and 
both cesium-137 and lead-210. The study has revealed an extensive mud deposit 
in the lower bay covering about 400 km^ oriented approximately with 
bathymetric contours. The clay content of this deposit exceeds 50% toward the 
center with the mean grain size increasing toward deposit margins. Calcium 
family elements (Ca, Mg, and inorganic carbon) are preferentially concentrated 
at the southwestern end of the deposit either because of the distribution of 
source materials or because of prevailing currents in the system. In 
contrast, iron and organic carbon exhibit highest concentrations in sediments 
with highest content of clay-size particles. Most other elements, including 
contaminant metals (Cr, Cu, Ni, Pb, Zn) have surface concentrations which 
correlate strongly with concentrations of iron and organic carbon (r>0.9; 
N = 30). 

Vertical distributions of radionuclides and contaminant metals reveal a 
zone of constant activity (or concentration) which extends from the sediment- 
water interface to depths ranging from 10 to 25 cm. This zone of uniform 
composition varies systematically within the deposit, tending to be greatest 
toward the center, and is probably the resiilt of extensive mixing by zooben- 
thos (predominantly oligochaetes) . About 90% of the zoobenthos occur within 
the zone of mixing determined radiometrically. Benthos densities range from 
10,000 to 50,000 per m^ and are sufficient to completely mix sediments 
annually. 



Ill 



Because of extensive mixing, sedimentation rates may not be reliably 
determined from profiles of Cs~137 in this system. However, lead-210 dating 
appears valid and yields sedimentation rates ranging from about 0.07 to 0.24 
g/cm^/yr (0.1-0.6 cm/yr). Highest rates occur toward the southwestern end of 
the deposit and decrease with increasing distance from the mouth of the 
Saginaw River. Radiometric mixed depths, in combination with sedimentation 
rate values, provide estimates of particle residence times in the mixed layer 
ranging from 11 to 60 years and averaging 30 years. Contaminant metal 
deposition rates as of 1975 are estimated using a model of steady-state mixing 
and exponential loading with a 20-year doubling time in combination with 
sedimentation rate data. 

Annual loadings are estimated (in metric tons/year) as: Cr, 54; Cu, 28; 
Ni, 30; P, 420; Pb, 40; and Zn, 86. 

Surface concentrations of contaminant metals (and most other elements) 
are consistently lower in the bay mud deposits than in open lake deposits. 
Intense local sources do not lead to higher concentrations within the deposit 
mainly because of extensive downward reworking of surface materials, and to a 
lesser degree, because of dilution by inert allochthonous materials. \*Jhen 
corrected for "dilution" effects, concentration of chromium are considerably 
higher in the bay muds. Relative to underlying sediments, the contaminant 
metals are highly enriched in surface materials and mean vertically integrated 
amounts (exceeding background) levels (pg/cm^) are: Cr, 280; Cu, 160; 
Ni, 160; Pb, 230; and Zn, 490). These values far exceed the excess element 
accumulation in deposits of the open lake. Thus, while surface concentrations 
of contaminant elements, with the exception of chromium, are not particularly 
distinctive, the vertically integrated amounts are strikingly high 



IV 



illustrate the effectiveness of vertical reworking processes in diluting 
contaminants reaching the mud. The total amount of cesium~137 stored in the 
deposits is about 64 Ci compared with an estimated 158 Ci deposited over the 
same area from cumulative atmospheric fallout. As tributary contributions may 
be ignored (but possibly not exchange from the open lake) the muds are no more 
than 40% efficient in retention of the radionuclide. Total inventories of 
metal contaminants in the lower bay (metric tons) are:: Cr, 1,000; Cu, 590; 
Ni, 590; P, 11,000; Pb, 850; and Zn, 1,800. 

Fluxes of nutrients from cores collected during the period from April 
through November 1978 were determined from changes in concentrations in water 
overlying sediments incubated at prevailing in situ temperatures. Mean values 
for the period were: P, -530 yg/cm^/yr; N(NH3), +200 yg/cm^/yr; N(N03), -360 
yg/cm^/yr; and Si, 3,000 yg/cm^/yr. Releases of Si constitute a major input 
of Si into the Bay. The flux of silicon from sediments exhibits an annual 
cycle ranging from about 1,500 yg/cm^/yr in the spring to a maximum of about 
6,000 yg/cm^/yr in August. The mean flux may be reliably predicted from 
thermodynamic expressions and the sediment temperature. During the fall 
months the flux (at constant temperature) is strongly correlated with the 
numbers of chironomid larvae present. Correlations between other nutrient 
fluxes and organism densities are generally insignificant. The mean flux of 
silicon based on pore water concentration gradients and estimates of the 
effective molecular diffusion coefficient were only about 660 iig Si/cm^/yr. 
Significantly higher direct fluxes suggest that Si release from sediments is 
not diffusion-limited but dependent on the rate at which materials dissolve at 
the sediment-water interface. 



CONTENTS 

Abstract iii 

Introduction 1 

Methods 4 

Field Methods 4 

Laboratory Methods 5 

Results and Discussion • • 6 

Physical Characteristics of Sediments 6 

Composition of Surface Sediments 13 

Vertical Distribution of Elements • 39 

Sediment Mixing and Sedimentation Rates • 57 

Cesium-137 58 

Lead-210 • 68 

Net Metal Contaminant Fluxes 79 

Vertical Distribution of Dissolved Silicon and Phosphorus 83 

Nutrient Fluxes 85 

Conclusions • 91 

Acknowledgments 95 

Data File 96 

References • 97 

Publications and Presentations Receiving EPA Support 100 



Vll 



INTRODUCTION 

This is the second of three reports dealing with the composition of re- 
cent sediments of Lake Huron and the rate of accumulation of metal contami- 
nants. The aims of the report include: (1) determination of recent 
sedimentation rates both by radiometric methods and other means, (2) identi- 
fication of elemental contaminants by examination of concentration profiles in 
dated sediment cores, (3) development of contour maps for sections of the 
lake which show the concentration of metal contaminants and their present and 
historical rates of accumulation, (4) estimation of the total amount of 
various contaminants stored in sediments, (5) identification of the origins 
of metal contaminants in selected cores, and (6) recognition and quantitative 
treatment of processes affecting sedimentary records of radioactivity and 
metal contaminants and the exchange of substances between sediments and 
overlying water. The results of the research reported in this Lake Huron 
sediment series represent a natural extension of the work of Thomas et al. 
(1973), who provided the first extensive and systematic mapping of the 
surficial sediments of Lake Huron, and that of Kemp and Thomas (1976), who 
provided the first limited exploratory study of the distribution of metal 
contaminants in pollen-dated cores from this Lake. 

The reports in the series deal with southern Lake Huron (Robbins 1980), 
Saginaw Bay and northern Lake Huron. Areas of the lake treated in each report 
are indicated in Figure 1. This report, focusing on Saginaw Bay, emphasizes 
the lower part of the bay as can be seen from the distribution of coring 
locations shown in Figure 2. The 1973 study of Thomas et al. indicated that 
sediments of the outer bay were comprised of sand and therefore relatively 



46«00- 



45*00 



44*00 



43*00 




85*00' 



84*00 



83*00' 



82*00' 



Figure 1. Sediment coring locations in Lake Huron. Sampling was 
conducted throughout the entire lake from 1974 through 1978. 



stations and Depth Contours (ft) 

• 1975ai978Stations 
o 1978 Stations 



44"'00' 




83°50 



Figure 2. Sediment sampling sites in Saginaw Bay. 



uninteresting from the standpoint of significant accumulations of 
contaminants. Although the Thomas et al. study did not include the lower bay, 
the earlier work of Wood (1964) showed that the lower part of the bay 
possessed an area of fine-grained sediments of considerable extent. 

As the fine-grained sediments are the primary carriers of contaminants, 
this area is a probable receptor of contamination issuing from the Saginaw 
River. In this report, the results of analyses of many samples from the 
several hundred cores collected in the lower bay are summarized. 

METHODS 

FIELD METHODS 

Sediment samples were collected at 57 stations in Saginaw Bay during 
April and August of 1975. The locations of the 1975 stations, shown in Figure 
2, cover in considerable detail most of the corable areas in the lower bay. 
In 1978 the entire lower bay was resampled at over 100 stations. Cores were 
collected wherever possible and supplemented by Ponar grab samples of 
uncorable sediments (sand and gravel). The additional 1978 sampling sites are 
shown in Figure 2 as open circles. Sediment cores were collected with a 3- 
inch diameter gravity core (Benthos, Inc., Falmouth, Mass.). Cores contained 
within plastic liners were hydraulically extruded and sectioned aboard ship. 
Details of the sediment collection and processing methods are provided in the 
Southern Lake Huron Report (Robbins 1980). 

In addition, for this report, a series of cores were taken for nutrient 

flux measurements. Cores collected by the above methods were extruded into 

short plastic liners approximately 25 cm long. Care was taken to preserve 

approximately 10 cm of overlying water and to disturb the core minimally 

4 



during the transfer process. The short sections of core with overlying water 
were placed in a water-bath incubator, the temperature of which was adjusted 
to match the in situ sediment temperature. The overlying water in the cores 
was continuously aerated and mixed by introduction of filtered air from a 3/8" 
section of Tygon tubing extending a few cm into the water overlying each core. 
A maximum of 21 cores could be incubated simultaneously. During the period 
from April to November 1978, selected sites in the lower bay were revisited 
eight times to collect cores for nutrient flux determinations. Fluxes were 
inferred from measurement of the concentration of nutrients in overlying water 
as a function of time. Approximately every 24 hours for one week, 20 mL of 
water was withdrawn from each core (about 5-7% of the total volume of 
overlying water), filtered immediately through a phosphate-free pre-rinsed 
0.45 micron (Millipore®) filter, and frozen for subsequent analysis. During 
the course of the flux study, over 40 cores were examined. 

LABORATORY METHODS 

The methods for determination of certain sediment characteristics and 
composition of sediments are described in considerable detail in the Southern 
Lake Huron Report (Robbins 1980). Methods are described for determination of 
bulk density, fraction dry weight, zoobenthos composition, activity of cesium- 
137, total and inorganic carbon, elements via x\tomic Absorption Spectro- 
photometry (AAS) on acid-peroxide extracts, lead-210, amorphous silicon, and 
elements in whole sediment as determined via Neutron Activation Analysis 
(NAA). Concentrations of nutrients in pore water and, in the flux 
experiments, in overlying water are determined by conventional colorimetric 
methods as described by Strickland and Parsons (1972). 



In addition, for this report, grain-size distributions have been measured 
by conventional methods, employing sieving for peroxide-cleaned sediments with 
mean grain diameters exceeding 63 ym and pipette analysis of the sieved 
materials with mean grain sizes less than 63 ym. Details of these methods are 
described by Royse (1970). 

RESULTS AND DISCUSSION 

PHYSICAL CHARACTERISTICS OF SEDIMENTS 

The distribution of grain size in surface sediments of the lower bay is 
summarized in Figures 3-5 in terms of the major size categories: clay, silt, 
and sand. In analyzing over 150 sediment cores, the 1-2-cm interval was 
chosen on the assximption that it provides a better representation of the 
distribution of grain sizes of quasi-permanent surface deposits than does the 
0-1 cm interval. This uppermost layer (0-1 cm) consists of a fluid, highly 
mobile flocculent phase overlying all corable sediments in the bay. The lim- 
ited comparisons possible from the vertical dependence of grain size 
distributions in cores suggest that there is generally little difference in 
grain size distribution between the 0-1 and 1-2 cm intervals of sediment. 

Inspection of Figures 3-5 shows that the lower bay possesses an extensive 
area of mud (clay plus silt) which generally lies within the deeper waters and 
covers roughly one quarter of the area of the lower bay. Areas outside the 
mud deposit are generally comprised of sand with isolated areas of gravel and 
coarser materials. Even within the mud deposit, surface sediments generally 
have detectable amounts of fine sand. Only six samples out of 102 contained 
no measurable amounts of sand. The mean grain size of surface sediments in 
the lower bay is shown in Figure 6. Note that accumulation of finer materials 



PERCENT CLAY IN 
SURFACE SEDIMENTS 



44''00 — 



43°50 — 



43''40 — 




o 

N 
LOWER SAGINAW BAY 



5 10 

KILOMETERS 



Qyio 



Figure 3. Percent clay in surface sediments (1-2 cm depth) of lower 

Saginaw Bay. 



PERCENT SILT IN 
SURFACE SEDIMENTS 

30-50 
»ll 10-30 
in j-10 

mm 0-1 



44000' 




N 

LOWER SAGINAW BAY 



5 10 

KILOMETERS 



Figure 4. 



Percent silt in surface sediments (1-2 cm depth) of lower 
Saginaw Bay. 



8 



PERCENT SAND IN 
SURFACE SEDIMENTS 

^m 10-50 
EZ3 2-10 
CZl <2 



44»00'— 



43»50 — 



43°40 




LOWER SAGINAW BAY 



5 10 

KILOMETERS 



83°30 



Figure 5. Percent sand in surface sediments (1-2 cm depth) of lower 

Saginaw Bay. 



MEAN ( 


3RAIN 


SIZE 


(Phi 


Units) 




Wk 


>6 




^ 


4-6 




^g 


2-4 




11 


0-2 




m. 


<0 





44°00 



43°50 — 



43M0 



Boy City 



83° 50 




N 

LOWER SAGINAW BAY 



5 10 
KILOMETERS 



Figure 6. Mean grain size (phi units) of surface sediments of lower 

Saginaw Bay. 



10 



(phi 2) occurs to a limited extent in the southeastern region of the bay in 
locally deep water (cf . Fig. 2 for bathymetric data). 

The fractional water content by volume (porosity) of surface sediments 
(1-2 cm) shows minor but systematic variations over the mud deposit. Highest 
porosities tend to occur toward the center of the deposit and decrease toward 
the margins where a greater proportion of sand occurs. No water content 
measurements were made outside the mud deposits, as only grab samples could be 
obtained for which water content as well as depth determinations are 
inaccurate. The vertical distribution of water content in cores shows 
systematic variations which are important for interpretation of radioactivity 
and metal profiles. An example is provided in Figure 7 (Core: EPA-SB-75~40) . 
A qualitative description of sediment textural characteristics is shox^m as a 
function of sediment depth along with the porosity and the fraction of dry 
sediment by weight which is soluble on treatment with acid and concentrated 
hydrogen peroxide. Both the porosity and the soluble fraction decrease with 
increasing sediment depth down to about 20 cm, remain constant more or less 
between 20 and 35 cm, and then rise slightly below 35 cm to at least 50 cm. 
The principal reason for this systematic decrease in porosity over the upper 
20 cm is variable dilution of fine grained sediments by sand. Sediments 
between 20 and 35 cm contain considerable sand (^50%). Below the layer of 
sandy clay-silt is a layer, starting at about 35 cm in the core (Fig. 7), of 
virtually sand-free clay. It is important to note that although compaction 
can account for some of the decrease in water content near the sediment 
surface, its role is comparatively minor below depths of a few cm, as can be 
seen by comparison of the water content and acid soluble fraction in Figure 7. 
This core typifies the vertical structure of the mud deposits in the lower 

11 




(uiD) Hld3a lN31Alia3S 



12 



bay: zone 1 (fluid flocculent sediment) is roughly 1 cm thick, overlaying 
zone 2, gray silty clay with a sand content which gradually increases with 
sediment depth, followed by zone 3, which is a region of silty clay with a 
relatively uniform and high amount of fine sand, underlain by a clay (zone 4) 
of higher water content (greasy) of indeterminate thickness. The thickness of 
the zones varies systematically with location within the mud deposit. 
The depth of the transition between zone 2 (mud with sand content increasing 
with depth) and zone 3 (clay-silt with uniformly high amounts of fine sands) 

occurs roughly where the porosity, cj), is 0.7 and the rate of change of 

d(f) 1 d(j) 

porosity, *-*', with depth is greatest (i.e., - r-")* ^^ the case of Core 78-40 
dz 9 dz 

(Fig. 7), this depth is about 15 cm. Porosity profiles for several other 
cores are shown in Figures 8 and 9. Porosity transition depths (mud layer 
thickness) vary from 4 to 18 cm in the examples. The porosity of surface 
sediments is shown in Figure 10. The systematic variation in the mud 
thickness is illustrated in Figure 11. Thickest deposits occur toward the 
center of the depositional area and the thickness is correlated with the 
fraction of the sediment which is clay. 

COMPOSITION OF SURFACE SEDIMENTS 

The pH of surface sediments measured in April is shown in Figure 12. 
Values tend to be highest (exceeding pH 8.00) toward the margins of the mud 
deposit. Lowest pH values tend to be centrally located within the deposit and 
are as low as about 7.2 pH units. The platinum electrode potential (Eh) shown 
in Figure 13 also tends to be highest toward the deposit perimeter with values 
exceeding 400 mv. Within the deposit the electrode potential is less than 100 
mv over roughly half the area. These trends toward lower pH and Eh values 



13 





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POROSITY OF 
SURFACE SEDIMENTS 



44''00' 



43»50 — 



43'40 — 



Bay City 




N 

LOWER SAGINAW BAY 



5 10 

KILOMETERS 



83»50 



83M0 



Figure 10, Porosity (water content) of surface sediments. 



16 



POROSITY TRANSITION 
DEPTH (cm) 

^ 15-25 
Bi iO-15 
HI 0-10 



44''00 — 



43°50 — 



43M0 




N 

LOWER SAGINAW BAY 



5 10 
KILOMETERS 



Figure 11. Depth of maximum fractional porosity change (see text) 



17 




Figure 12. pH of surface sediments (April 1975) 



18 




Figure 13. Eh of surface sediments (April 1975) 



19 



within depositional basins is typical of the sedimentary environments of the 
Great Lakes. Lower pH and Eh values are associated with fine-grained, organic 
rich, comparatively reducing sedimentary materials. 

The distribution of inorganic carbon (Fig. 14) exhibits an enhanced 
concentration in the southwest end of the mud deposit. This trend is 
reflected in the distribution of calcium (Fig. 15) and magnesium (Fig. 16). 
The association of these constituents as well as their ratios provide 
presumptive evidence for preferential deposition of dolomitic materials in 
that area of the lower bay. The distribution of organic carbon in surface 
sediments (Fig. 17) contrasts markedly with those of the calcium element 
group. Organic carbon ranges from less than 1% to greater than 5% over the 
lower bay, with maximum concentrations tending to occur in deepest areas of 
the bay. Iron (Fig. 18) exhibits a similar pattern. Metals such as lead, 
zinc, and copper (which in surface sediments may be partly of anthropogenic 
origin) have distributions which are very similar to the distribution of iron. 
The distribution of lead is provided as an example in Figure 19. 
Concentrations range from less than 20 ppm in regions outside the mud deposit 
(sand/gravel) to greater than 80 ppm at several isolated sites within the 
depositional zone. In contrast to the above three contaminant metals, 
another, cadmium, has a distribution (Fig. 20) which is dissimilar to the iron 
group but resembles more closely the distribution of the calcium family 
constituents. The weaker association of cadmium with the iron-organic carbon 
group also occurs in surface sediments in the southern part of the main lake 
(Robbins 1980). The similarity of the distribution of iron in surface 
sediments to that of other elements is summarized in Figure 21 in terms of 
ordered correlation coefficients. Note that total iron exhibits the best 

20 



INORGANIC CARBON 


( Wt % ) 




rai >2 




^ 1.5- 


■2 


iii )-i 


.5 


mm <\ 





44»00'— 



43»50'— 




N 

LOWER SAGINAW BAY 



5 10 
KILOMETERS 



Figure 14. Inorganic carbon in surface sediments (1-2 cm). 



21 



44''00 — 



43°50 



43''40 — 




Bay City 



o 

N 
LOWER SAGINAW BAY 



83° 50 



5 10 

KILOMETERS 



83°30 



Figure 15. Calcium in surface sediments (1-2 cm) 



22 



MAGNESIUM 
Wt % 



44''00' 



43»50'— 



^Z^AO' 




Bay City 



N 
LOWER SAGINAW BAY 



83° 50 



83M0 



5 10 

KILOMETERS 



83»30 



Figure 16. Magnesium in surface sediments (1-2 cm). 



23 



ORGANIC CARBON 


{Wt.%) 


■1 5 


■ 4-5 


Si 3-4 


{ZH 1 -3 


nz <i 



44«00'— 



43"50'— 



43M0 




Bay City 



N 
LOWER SAGINAW BAY 



5 10 

KILOMETERS 



83° 50 



Figure 17. Organic carbon in surface sediments (1-2 cm). 



24 



IRON 


(wt%) 


■1 >3 


^2.5-3 


Hi 2-2.5 


EH 1-2 


mi <\ 



44''00 — 




Figure 18. Iron in surface sediments (1-2 cm) 



25 



LEAD 
(ppm) 

I >80 

60-80 

^40-60 
f 20-40 

mm <20 



44°00' 



43°50 — 




N 

LOWER SAGINAW BAY 



5 10 

KILOMETERS 



83050 



83»40 



Figure 19. Lead in surface sediments (1-2 cm) 



26 



CADMIUM 




(ppm) 




wa > 


4 


^ 3- 


4 


ill 2 - 


3 


IH t- 


2 


mm < 


1 



44°00'— 



43»50- 



43*'40 — 




N 

LOWER SAGINAW BAY 



5 10 

KILOMETERS 



Figure 20. Cadmium in surface sediments (1-2 cm). 



27 



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28 



correlation with acid soluble iron (Fe2) (r = 0.96 for N = 33). The elements 
Pb, Zn, Cu, Mn, and Ni are all well correlated with iron while organic carbon 
is comparatively less well-correlated in this environment. In contrast, in 
surface sediments of the main lake, both iron and organic carbon are 
significantly better correlated (Robbins 1980). Reasons for this difference 
are unclear; however, a possible explanation is that the hydrodynamic 
properties of iron and organic carbon-containing particulate matter may tend 
to be more similar in deep water depositional environments remote from 
allochthonous sources. It should also be noted that the inorganic carbon 
content of surface sediments is more poorly correlated with calcium and 
magnesium in sediments of Saginaw Bay than in sediments of the main lake 
(Robbins 1980). 

The surface sediment composition data are summarized in Table 1. Values 
are in micrograms/gram (ppm) unless noted. The index 2 following an element 
symbol (e.g., Fe2) indicates a concentration based on MS analysis of acid 
extracts. Elements without this index xvrere determined by neutron activation 
analysis of whole sediment. The extent of variability of the concentrations 
is indicated by the ratio of the standard deviation of the values to the 
average (coefficient of variation). This ratio is shown versus element in 
Figure 22. Two major groups of elements may be distinguished: those with 
coefficients greater than 0.4 and generally (with the exception of As) in the 
range of 0.4-0.6, and those with values below 0.4, generally occurring within 
a somewhat narrower range from about 0.25 to 0.35. Elements falling within 
the high variability group include the calcium family constituents and the 
contaminant metals group as determined from acid extracts. The low 
variability group includes the rare earth elements, elements which are not 

29 



TABLE 1. Summary of surface concentration data. 

















Numbe r 




Range 




Standard 




of 


Element 


Minimum 


Maximum 


Average 


Deviation 


Ratio* 


Samples 


FSOL(%) 


1.40 


54.6 


27.7 


10.3 


0.372 


34 


IOC(%) 


0.110 


2.49 


1.42 


0.619 


0.437 


29 


0C(%) 


0.320 


5.21 


3.47 


1.14 


0.330 


28 


As 


1.14 


60.2 


16.6 


13.5 


0.814 


35 


Ba 


183 


551 


422 


82.9 


0.196 


35 


Be 


1.42 


46.7 


15.1 


7.77 


0.513 


35 


Ca2(%) 


0.012 


4.87 


2.35 


1.48 


0.628 


46 


Cd2 


0.170 


4.32 


2.40 


1.22 


0.507 


33 


Ce 


7 


55.6 


41.1 


11.1 


0.270 


35 


Co 


1.25 


11.1 


8.22 


2.29 


0.278 


35 


Cr 


5.67 


106 


71.6 


21.8 


0.304 


35 


Cr2 


8.93 


173 


63.5 


36.8 


0.508 


46 


Cs 


0.216 


5.15 


3.25 


1.05 


0.323 


35 


CsR 


0.110 


7.04 


2.97 


1.42 


0.479 


35 


Cu2 


0.720 


49.7 


25.5 


15.9 


0.624 


45 


Eu 


0.206 


1.12 


0.895 


0.222 


0.248 


35 


Fe(%) 


0.310 


3.43 


2.38 


0.686 


0.288 


35 


Fe2(%) 


0.026 


3.21 


1.78 


0.948 


0.532 


46 


Hf 


0.880 


9.19 


5.60 


1.51 


0.269 


35 


K2(%) 


0.104 


1.23 


0.652 


0.247 


0.379 


33 


La 


5.13 


31.9 


24.2 


6.30 


0.269 


35 


Lu 


0.044 


0.423 


0.283 


0.075 


0.264 


35 


Mg2(%) 


0.020 


5.56 


1.54 


1.05 


0.682 


46 


Mn2 


20 


964 


496 


298 


0.602 


46 


Na 


4,020 


9,090 


6,550 


1,130 


0.172 


35 


Ni2 


3.10 


66.5 


31.9 


17.5 


0.548 


44 


P2 


187 


2,100 


1,330 


486 


0.366 


26 


Pb2 


3.20 


87.5 


45.3 


26.9 


0.593 


44 


Sb 


0.089 


0.957 


0.522 


0.167 


0.320 


35 


Sc 


0.640 


12.3 


8.80 


2.67 


0.304 


35 


Se 


0.574 


3.00 


1.76 


0.474 


0.269 


35 


Sm 


0.770 


5.28 


3.76 


1.08 


0.287 


35 


Th 


0.802 


8.57 


6.28 


1.79 


0.286 


35 


U 


0.249 


5.00 


1.41 


0.918 


0.650 


35 


Zn2 


4.90 


188 


96.3 


56.2 


0.584 


45 



Values in yg/g unless indicated. *Ratio = SD/mean = coefficient of variation. 
FSOL = fraction soluble in acid; IOC = inorganic carbon; OC = organic carbon; 
CsR = radiocesium (Cs-137). 



30 



COEFFICIENT OF VARIATION (SD/AV) 





0.2 




0.4 




0.6 


0.8 




1 ( 1 1 


1 1 i 


Asl 






Mq2| 








lOCI 






Ul 






Ca2| 






Cu2l 






Mn2l 






Pb2l 






Zn2l 






Ni2l 






Fe2 




Br 






Cr2 




Cd2 






CsRI 






K2I 




h- 


FSOLI 




2 


P2I 


OCI 


UJ 


Sb 




_J 
III 


Cs 




S 


c 






C 


r 




Fe 






Th 






Co 




Sm 




Ce 




Hf 




La 




Se 




Lul 






Eul 




Bal 




Na 











Figure 22. Relative variability in concentrations of elements in 
surface sediments (see text). 



31 



likely to be contaminants and (where comparison is possible) the whole sedi- 
ment concentrations of elements whose acid extract concentrations fall in the 
high variability group (e.g., Fe/Fe2, Cr/Cr2, and Cs/CsR). 

A comparison of the concentration of elements in surface sediments of the 
lower bay with those in surface sediments in the southern part of Lake Huron 
is provided in Table 2. It can be seen that, generally, concentrations are 
lower in the bay mud deposits. A regression of In Cgg vs In Cslh yields the 
following relationship: 

CsB = 0.71 CsLH^-03 (1) 

with r = 0.99 (N = 33). The mean ratio of Csb/CslH ^s 0.77. Thus, on the 
average, concentrations in the mud deposit of the bay are 30% less than in mud 
deposits in southern Lake Huron, presumably because of the greater dilution of 
bay sediments by inert (quartz/clays) materials. If the effects of this 
dilution are taken into account, only a few elements have significantly 
different average concentrations in the bay relative to the open lake. Most 
notable is whole-sediment chromium (Cr) which has an average concentration of 
72 ppm. As the mean concentration in southern Lake Huron is 47 ppm, the above 
regression equation yields a predicted value of 0.71*47"'-*03 s 37.5 ppm. 
Hence, if the effects of dilution are removed, concentrations of total 
chromium are 72/37.5 = 1.9 times higher in the bay than the lake. This 
relative enhancement is also seen in acid-soluble chromium, although to a 
lesser degree (63/0.71*66-*'*03 =s 1.2). Also occurring in relatively higher 
concentration (on an inert-material corrected basis) is organic carbon 
(3.5/0.71*3.2^*03 = 1,5). The relative enhancement (or reduction) in the mean 
concentration of elements in the bay muds is shown in the last column of 

32 



TABLE 2. Comparison of average concentrations of elements in surface sedi- 
ments of Saginaw Bay and southern Lake Huron. 







Lower 


Southern 


Ratio of 


Relative 




Saginaw Bay 


Lake Huron** 


means 


Enhancement 


Element* 


(Csb) 


(Cslh) 


(Csb/^slh) 


(Csb/^sb) 


FSOL(%) 


28 


31 


.90 


1.15 


IOC(%) 


1.4 


2.4 


.58 


0.80 


0C(%) 


3.5 


3.2 


1.08 


1.48 


As 


16 


27 


.61 


.78 


Ba 


422 


432 


.98 


1.14 


Br 


15 


51 


.29 


.37 


Ca2(%) 


2.4 


2.7 


.89 


1.22 


Cd2 


2.4 


2.9 


.83 


1.13 


Ce 


41 


54 


.76 


.95 


Co 


8.2 


10.6 


.77 


1.02 


Cr 


72 


47 


1.53 


1.92 


Cr2 


63 


66 


.95 


1.18 


Cs 


3.3 


3.6 


.91 


1.24 


Csl37 


3.3 


7.7 


.42 


.56 


Cu2 


25 


37 


.67 


.85 


Eu 


.90 


1.1 


.81 


1.15 


Fe(%) 


1.8 


2.4 


.75 


1.03 


Fe2(%) 


2.4 


3.1 


.77 


1.05 


K2(%) 


.65 


.68 


.96 


1.36 


La 


24 


31 


.77 


.98 


Lu 


.28 


.33 


.85 


1.24 


Mg2(%) 


1.5 


2.0 


.75 


1.03 


Mn2 


.050 


.13 


.38 


.58 


Na 


6,550 


7,300 


.90 


.97 


Ni2 


31.9 


50.6 


.63 


.79 


P2 


1,330 


1,500 


.88 


1.00 


Pb2 


45.3 


73.6 


.62 


.76 


Sb 


.52 


.87 


.60 


.85 


Sc 


8.80 


11.2 


.79 


1.03 


Sm 


3.76 


5.23 


.72 


.96 


Th 


6.28 


8.24 


.76 


1.00 


U 


1.41 


2.79 


.50 


.69 


Zn2 


96.3 


116.3 


.83 


1.01 



*Values in pg/g unless indicated. **From Robbins (1980). 



33 



Table 2. Some elements, notably Br, Cs-137, Mn2, and U are significantly less 
in the bay muds even after correction for dilution. Reasons for this 
reduction are not clear. In the case of the radionuclide, Cs-137, which 
enters the lake primarily from atmospheric fallout, the reduction may be 
attributable to focusing effects. Cesium-137 deposited over a wide area (lake 
surface) accumulates in comparatively limited areas of the lake bottom. In 
the bay, the area of accumulation is comparable to the area of initial 
deposition. Also, more Cs-137 may be exported to the open lake from shallow 
bay waters through resuspension. 

Coefficients of correlation between contaminant metal concentrations 
(namely Cd, Cr, Cu, Ni, Pb, and Zn) , provided in Table 3, illustrate their 
very high degree of similarity in areal distribution within surface mud 
deposits. In all cases but the pair Zn-Cr, for which r = 0.89, values of the 
correlation coefficient exceed 0.9 for N >^ 32 in the case of Cd and N >^ 43 for 
the other element pairs, not involving Cd. Analysis of one contaminant 
element in surface sediments serves to establish levels of the others with a 
high degree of confidence. 



TABLE 3. Correlation coefficients for pairs of contaminant metal concentra- 
tions (acid soluble) in surface sediments. 







Cd 


Cr 


Cu 


Ni 


Pb 


Zn 


Cd 


1 


.90 


.94 


.91 


.91 


.92 


Cr 


.90 


1 


.93 


.91 


.94 


.89 


Cu 


.94 


.93 


1 


.94 


.97 


.98 


Ni 


.91 


.91 


.94 


1 


.97 


.95 


Pb 


.91 


.94 


.97 


.97 


.1 


.99 


Zn 


.92 


.89 


.98 


.95 


.99 


1 



For Cd N >_ 32; for other elements N >_ 43. 



34 



x\s both grain size distribution and concentration data are available for 
surface sediments, some inferences may be made concerning the association of 
elements with sediment grain size. Ideally, the elemental composition of 
sediment size fractions should be measured, but such an approach is beyond the 
scope of this study. However, to the extent that the concentration of an 
element in sediments of a well-defined size range (e.g., 3 to 4 phi units) is 
independent of location over the lower bay, the concentration may be inferred 
by statistical analysis of a sufficiently large concentration-grain size data 
set. If fj_ is the fraction of the total dry weight of sediment which is in 
the ith size class, and the concentration of a certain element in that size 
class is CjL, then the measured concentration in the sample is 

N 
C = I Cifi. (2) 

i = 1 

If Cj is the measured concentration in the jth sample, then the assumed 
independence of C^ on location means that 

N 
Cj = I Cifij (3) 

i = 1 

where fj_j is the fraction of the total sediment dry weight in the ith size 
class at the jth location. It is further assumed that the dependence of C*^ 
on mean grain size in each size class ((^±) is essentially Gaussian so that, 

-(6.-6) 2 / lo'l 
1 m 9 

Ci = C^ax^ (^) 



35 



A nonlinear least squares routine was used (Dams and Robbins 1970) to deter- 
mine values of the three parameters (C^ax ^m ^^^ ^^ ) ^^^ each element using 
the surface concentration data and grain size data. The results are presented 
in Table 4 and Figure 23. It can be seen that the elements (Fe2, Fe, Pb2, 
Zn2, and Br) are apparently associated with the smallest mean grain sizes 
(greater than 10 phi units). These elements not only are associated with 
particularly fine grained sediments but concentrations are distributed over a 
wider range of sizes (especially Fe2, for which the value of a. is 6.3 phi 
units). The model concentrations for these elements shown in Figure 23 
indicate that Fe2 is, in fact, not strictly Gaussian, in the sense that the 
apparent position of the maximum is beyond the range of the data. Also shown 
in Figure 23 (upper panel) is the correlation of the measured concentration 
with each size class. Generally, for all elements (including those shown), 
correlations are high (>0,7, N = 30) for grain sizes greater than 7 phi. 
Below 7 phi units, the correlation decreases rapidly, reaching zero at 4 phi 
units and remains zero or negative for even lower phi values (larger grain 
sizes). Thus, the measured concentrations of all elements of this study are 
derived from partial concentrations of the element on grain sizes smaller than 
about 60 microns (4 phi). The presence of materials with grain sizes greater 
than 4 phi (coarse silt) merely serves to dilute sediments with inert 
constituents (inert with respect to elements determined in this study). In 
the case of Fe2 and Pb2 (Fig. 23), the correlations vs. grain size in the 
interval beyond 7 phi units are comparable, although the correlations with 
lead remain slightly higher. The behavior of calcium, however, is 
significantly different. For this element, the maximum correlation occurs 
around 7-8 phi units and drops significantly for smaller particle sizes 

36 



TABLE 4. Grain size/concentration model parameters. 











Correlation 


Number 






Am 
(phi units) 


(phi units) 


Coeffi- 


of 


Element 


Cmax* 


cient** 


Samples 


FSOL 


209. 


7.1 


0.66 


.51 


34 


IOC 


9.65 


6.8 


0.68 


.52 


29 


OC 


205. 


8.0 


0.25 


.65 


28 


Br 


76.6 


13.0 


2.2 


.49 


35 


Ca2 


19.7 


6.7 


0.64 


.81 


46 


Cd2 


7.8 


7.8 


1.8 


.86 


33 


Ce 


93.9 


8.1 


2.2 


.67 


35 


Co 


23.1 


8.0 


1.8 


.70 


35 


Cr 


266. 


7.6 


1.4 


.70 


35 


Cr2 


142. 


10.8 


3.8 


.80 


46 


Cs 


7.82 


11.0 


3.0 


.68 


35 


CsR 


159. 


8.8 


0.21 


.81 


35 


Cu2 


318. 


7.0 


0.50 


.89 


45 


Eu 


1.63 


8.4 


2.8 


.62 


35 


Fe 


4.93 


10.5 


3.2 


.72 


35 


Fe2 


9.25 


18.4 


6.3 


.87 


46 


Hf 


9.72 


6.2 


2.2 


.41 


35 


La 


52.6 


8.4 


2.4 


.69 


35 


Lu 


0.65 


7.6 


2.0 


.56 


35 


Mg2 


24.6 


8.2 


0.52 


.82 


46 


Mn2 


1,200.0 


8.4 


2.5 


.83 


46 


Na 


10 , 000 . 


5.4 


2.7 


.44 


35 


N12 


168 


7.1 


1.1 


.85 


44 


P2 


3,500. 


8.4 


2.1 


.56 


26 


Pb2 


128. 


10.3 


2.8 


.91 


44 


Sb 


0.99 


9.4 


3.0 


.54 


35 


Sc 


36.8 


7.3 


1.2 


.69 


35 


Sni 


16.4 


6.9 


1.0 


.69 


35 


Th 


21.9 


7.3 


1.4 


.71 


35 


U 


3.3 


7.0 


1.8 


.25 


35 


Zn2 


284. 


12.0 


3.6 


.90 


45 



* Units are identical with those in Table 1. 

**The coefficient of correlation between measured and predicted values of 
surface concentrations . 



37 



UJ 

o 



UJ 

o 
o 



or 

o 
o 



*E 

> 
(D 



< 



UJ 
O 

Z 

o 
o 




too- 



2 4 6 

GRAIN SIZE (phi units) 



8 



Figure 23. Model concentrations of calcium, iron, and lead as a 
function of grain size (see text). 



38 



((j) = 9). This result, which does not depend on any complex model analysis, 
suggests an association of Ca with a narrower range of grain sizes than Pb2 
and Fe2. This is borne out by the concentration model analysis as xvell. The 
distribution of Ca as well as the other calcium family elements (FSOL, Mg, 
IOC) peaks at a distinctly lower value of phi ((|)= 6.7) and has a very narrow 
grain size range (0.64 phi units). The model concentration of calcium vs. 
grain size (Fig. 23) indicates that this element is associated with fine silt 
(8-16 micron dia) whereas both lead and iron are associated with fine clays 
(<2 micron dia). Other elements are relatively undistinguished in terms of 
grain size, but several have relatively narrow grain size ranges (like the Ca 
group) for reasons which are not clear. These include: organic carbon, Cs-137 
(CsR), and Cu2. 

VERTICAL DISTRIBUTION OF ELEMENTS 

The vertical distribution of FSOL (fraction soluble on acid treatment) 
and selected acid-soluble major and minor elements are illustrated in Figures 
24 through 34. The behavior of FSOL as exemplified in Figure 7 for a core at 
station 40 is characteristic of its behavior in other cores. As seen in 
Figure 24, FSOL at first decreases with increasing sediment depth (through 
zones 1-2) and increases once again in zone 4. Note that the porosity remains 
more or less constant in zone 4 for the cores used for illustration (Fig. 9). 
Both calcium and magnesium (Figs. 25 and 26, respectively) follow a similar 
trend, decreasing within zones 1 to 3 but rising dramatically (up to a factor 
of 4) within zone 4. The concurrent rise in both magnesium and calcium 
suggests an increase in the amount of dolomitic materials within zone 4. 
The behavior of iron contrasts strongly with that of FSOL, Ca, and Mg. 

39 



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2 0240240 2 40 2 4 24 

CALCIUM (wt%) 



Figure 25. Vertical distribution of calcium in selected sediment cores. 



41 






10 









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4 



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36 



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MAGNESIUM (wt.7o) 



4 



Figure 26. Vertical distribution of magnesium in selected 

sediment cores. 



42 



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MANGANESE (wt.%) 

Figure 28. Vertical distribution of manganese in selected sediment cores. 



44 



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Figure 31. Vertical distribution of lead in selected sediment cores. 



47 



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Figure 33. Vertical distribution of acid soluble phosphorus in 

selected sediment cores. 



49 



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50 



As seen in Figure 27, the concentration of Fe tends to be constant within 
zones 1-2, decreases abruptly within zone 3, and remains constant within 
zone 4, For manganese (Fig» 28), the behavior is similar to that of iron 
except for a significant increase within zone 1 (the flocculent material in 
the upper 1 cm). The minor elements (Figs. 29-34), for the most part, exhibit 
the same behavior as iron: constant or slightly decreasing concentrations in 
zones 1-2, an abrupt decrease in zone 3, and again constant concentrations in 
zone 4. These profiles suggest that zones 1 and 2 are comprised of sediments 
containing recent anthropogenic constituents overlying older, uncontaminated 
materials. As the minor constituents are of relatively uniform concentration 
within these upper sediments, zones 1 and 2 appear to be either recent 
overlays of translocated materials or materials thoroughly reworked to a depth 
of well-defined extent which varies systematically with location (Fig. 38). 
The notion of well-mixed recent materials comprising zones 1-2 is further 
supported by radiometric evidence discussed below. 

The extent of enrichment of elements within the upper sediment zones 
(1 and 2) relative to underlying sediments (zone 4) is given in Table 5 in 
terms of the ratio of element concentrations in zone 2 to concentrations in 
zone 4. On the average, concentrations of Cu, Pb, and Zn are four times 
higher in zone 2 than in zone 4. Elements Cr, Ni, and Mn are twice as high, 
and the remaining elements, while possessing elevated concentrations relative 
to underlying sediments, do not exhibit a major degree of enrichment. At 
least part of the enrichment is due to the increase in inert (quartz?) 
constituents in underlying sediments (zone 3 and possibly 4). To eliminate 
effects of dilution by inert materials, the degree of enrichment may be 
recalculated in terms of the concentrations of elements on a weight soluble 

51 



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52 



basis. If Cg is the concentration of a given element in surface sediments in 
g/g, then the concentration on a weight soluble basis is given by 

Cg- = Cg / Fg (5) 

where Fg = Fraction soluble (g soluble / g total) 

= FSOL 
The sediment enrichment factor is then calculated as 



Cs' - ^d' 

SEF = 

^d' 



Cs Fd 
-1 

Cd Fs 



(6) 



where C^ is the characteristic (mean) concentration of an element in deep 
sediments (zone 4) and C^' = ^d^-^d ^^ above. When the concentration of an 
element on a weight soluble basis is the same in surface and underlying 
sediments, SEF = 0.0. Kemp et al. (1974), who introduced the concept of the 
SEF, used aluminum rather than FSOL as a basis for normalizing concentration 
values. SEF values are given in Table 6 for selected cores in terms of 
percent enrichment. Elements divide into four discrete categories of 
enrichment: (1) Cu, Pb, and Zn have average SEFs close to 200%, (2) Cr and Ni 
have values around 100%, (3) Mn, P, Fe, K have values of around 50%, and 
(4) Mg and Ca are negatively enriched by about -15%. Because major enrichment 
of Mn occurs within zone 1 the calculated SEF is sensitive to details of the 
sampling and averaging. Use of only zone 1 (0-1 cm or less) in the estimate 
of the average would greatly (x2 - x3) increase the SEF for Mn. 

53 



Included in Table 6 are mean SEFs for sediments of southern Lake Huron. 
A comparison of values indicates that, while enrichments of Pb and Zn are 
comparable in the bay and open lake sediments, the elements Cr, Cu, and possibly 
P are significantly more enriched in sediments of the bay. Thus, while dilution 
of anthropogenic constituents by inert materials in bay sediments suppresses 
concentration values, and while removal of such effects by regression techniques 
indicates concentrations in surface sediments undistinguished from the open 
lake, it is evident that, relative to sediments originally present (underlying 
materials), surface materials are significantly more enriched in copper and 
chromium. This contrast with the open lake suggests the importance of local 
sources (tributary?) of these elements. 

If the enrichment of elements in zones 1 and 2 (Mn excepted) is due 
solely to anthropogenic loadings, then the excess accumulation at each 
location may be calculated as follows: 

Excess accumulation (pg/cm^^) 

^ (C^total - CBg)wi (7) 

i = 1 

where C^^Q^-g^^. ~ the concentration of a given element in the ith sediment 
interval (yg/g), Cgg is the background concentration of the element and w^ is 
the mass per unit area of sediment in the ith interval (g/cm^). It must be 
emphasized that the excess accumulation is truly the anthropogenic element 
storage only if Cgg is the same in zone 2 as it is deeper in the core (i.e., 
in zones 3 and 4 below the enriched layer). Values of the excess accumulation 
are given in Table 7 for selected cores. A comparison of these values with 
those for southern Lake Huron provides a striking contrast. Far more excess 

54 



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55 



TABLE 7. Excess element accumulation in selected cores from lower Saginaw Bay 
(yg/cm^). 





Site 


'.r 








Element 






Numbe 


Cr 


Cu 


Ni 


P 


Pb 


Zn 


2 




97 


54 


60 


1,620 


61 


230 


11 




71 


40 


52 


1,100 


81 


160 


16 




130 


68 


59 


3,700 


140 


230 


25 




460 


230 


190 


4,500 


340 


690 


28 




- 


150 


130 


- 


270 


600 


29 




- 


100 


60 


- 


200 


380 


30 




340 


140 


130 


2,936 


200 


460 


36 




120 


150 


150 


- 


150 


320 


38 




180 


130 


130 


- 


220 


420 


40 




460 


220 


200 


- 


290 


570 


43 




320 


230 


160 


- 


340 


720 


49 




630 


350 


580 


- 


470 


1,064 


Mean 


(SB) 


280 


160 


160 


2,800 


230 


490 


Mean 


(SLH)* 





19 


25 





75 


94 



*Data from Robbins (1980), 



(anthropogenic) Cr, Cu, Ni, P, Pb, and Zn is stored per unit area in the lower 
bay than in open lake sediments • How can this be reconciled with the 
generally lower element concentrations in surface sediments of the bay? 
Simply because the overlay of enriched sediments is generally of far greater 
depth in lower bay deposits. Evidence provided below indicates that the 
zoobenthos present in these deposits redistribute contaminants throughout a 
considerable depth in the sediments. Thus, in the lower bay, contaminant 
concentrations in surface sediments are apparently reduced as a result of two 
important processes: (1) dilution by inert materials and (2) redistribution 
of materials throughout a portion (up to '\.20 cm) of the sedimentary column. 
An approximate estimate of the total excess storage of selected "anthro- 
pogenic" elements in the lower bay is provided in Table 8. Insufficient data 
are available to compute very accurate averages. Hox^ever, an order of magni- 

56 



Mean Excess 


Total 


Total 


Storage in 


Accumulation 


Storage 


Southei 


rn Lake Huron 


(yg/cm^) 


(metric tons) 


(metric tons) 


280 


1,500 




-0 


160 


830 




710 


160 


830 




950 


2,800 


15,000 




=^0 


230 


1,200 




2,400 


490 


2,500 




2,900 



TABLE 8. Approximate total storage of anthropogenic metals in lower Saginaw 
Bay.* 



Element 

Cr 

Cu 

Ni 

P 

Pb 

Zn 



*Based on acid soluble concentrations. 

tude comparison indicates that amounts of Cu, Ni, Pb, and Zn stored in the 
lower bay are comparable to amounts stored in deposits of southern Lake Huron, 
which are roughly five times as extensive as those in the lower bay. 

SEDIMENT MIXING AND SEDIMENTATION RATES 

In the preceding discussion, it has been possible to investigate patterns 
of contaminant metal deposition, inter-element associations, and even total 
anthropogenic element loadings without reference to sedimentation rates. 
To gain information about the rates of contaminant deposition, however, it is 
necessary to associate a time scale with concentration profiles in individual 
cores. Two independent methods have been used for sediment geochronology in 
this report. The first relies on measurement of the vertical distribution of 
cesium-137 and the occurrence of a horizon corresponding to the onset of 
nuclear testing about 25 years ago. This method provides a measure of the 
average sedimentation rate over the past 25 years. The second method is based 
on the radioactive decay of lead--210 (ti/2 = 22.26 years) following burial in 
sediments. In principle this method is capable not only of yielding average 
sedimentation rates over a period of roughly 100 years, but is capable of 
revealing changes in the rate of sedimentation over this period of time. 



57 



The computation of contaminant fluxes is sensitive to the interpretation 
given to individual profiles. This fact has been emphasized in a number of 
recent studies (Robbins et al. 1977, Robbins and Edging ton 1975, Edgington and 
Robbins 1976, Robbins et al. 1978) which show that the mixing of surface 
sediments, probably by benthic organisms, has a significant influence on 
radioactivity and metal contaminant profiles and in the estimate of 
contaminant fluxes (Edgington and Robbins 1976). In the section below on 
cesium-137, the effects of sediment mixing on radioactivity and contaminant 
profiles are discussed. 

Cesium-137 

Cesium-137 is a uniquely anthropogenic radionuclide first introduced into 
the environment as a result of atomic weapons testing which began roughly 25 
years ago. Many studies have now demonstrated the utility of cesium-137 for 
investigation of sedimentation processes in aquatic systems such as lakes and 
reservoirs. Cesium-137 is an especially useful tracer because its input to 
the lakes may be accurately inferred from atmospheric and precipitation 
radioactivity measurements (Sr-90) made for about a 20-year period within the 
watershed of the Great Lakes and elsewhere. 

The time dependence of the input of this isotope is discussed in greater 
detail in the previous report (Robbins 1980). Most of the cesium-137 was 
introduced into the lakes during the period from 1958 to 1964. Thus, to a 
good approximation, the input is in the form of a pulse whose subsequent 
behavior in the water column and sediments serves to trace long-term aquatic 
transport processes. Studies by others have shown the residence time of 
cesium-137 in the water column to be very short (for details, see Robbins 

58 



1980), about one year. Thus the radionuclide is rapidly removed from the 
water, and changes in its aqueous concentration mimic the history of 
atmospheric deposition as a result. As the hydraulic retention time of the 
lake is long (about 30 years) in comparison with the overall residence time of 
the radionuclide, the dominant process for removal of cesium-137 is particle 
scavenging and sedimentation. This inference is consistent with the knox^ 
high affinity of radiocesium for certain clay minerals present in the water 
column. It is therefore expected that the flux of cesium~137 to the sediments 
would follow the time-dependence of aqueous concentrations as well as that of 
atmospheric inputs. While the flux may do so, profiles of cesium-137 do not, 
but are generally smoothed out both in open lake sediments (see Robbins 1980) 
and in those of Saginaw Bay as well. 

As part of this and the previous report , a model has been developed to 
account for the discrepancy between observed and expected cesium-137 profiles. 
The details are presented in Robbins et al . (1977). The smearing is assumed 
to occur only in the sedimentary column and, as a result of the rapid steady- 
state mixing of sediments over a zone of fixed depths, at the sediment x>7ater 
interface. This depth is referred to as the mixing depth. It can be shown 
(Robbins et al. 1977) that if the activity of radiocesium added to the 
sediments at time t (with t = corresponding to a very deep sediment layer) 
is Ag(t), the expected cesiura-137 distribution is given by: 

A = Aijj(T) z<_s 

A = A^(T + (s - z) /d) ) e""^(z-s)/a3 z>s 
and t (8) 



A^(t) = Y e-a + Mt Je+(y + X) ^^(^ ) ^^ 



59 



where y = r/s, t = T corresponds to the sediment water interface, and ^ is the 
sedimentation rate (cra/yr) neglecting the effects of compaction. A is the ra- 
dioactive decay constant for cesium-137 (A = 0«69315/ti/2 ; tx/2 ^ 30.0 years) 
and z is the depth below the sediment-water interface. The effects of 
compaction are automatically taken into account by expressing z in terms of 
the cumulative mass per unit area and o) in terms of the mass sedimentation 
rate (g/cm^/yr). The mixing depth, in consistent units, is expressed in terms 
of mass /unit area. 

A computer program was developed to find the value of the mixing depth, 
sedimentation rate, and surface activity Ag(T) giving the best least squares 
fit of the above equation to the observed profiles. The results of the 
calculation are illustrated in Figure 35 for the distribution of cesium-137 in 
a core from station 10. The solid line represents the model distribution with 
values of 2.2 g/cm^ for the depth of mixing and 0.11 g/cm^/yr for the 
sedimentation rate. In linear terms this mixed depth corresponds to about 
10.5 cm and a sedimentation rate of about 0.53 cm/yr (a mean value for the 
upper 10 cm of sediment). The shaded area in Figure 35 is the distribution of 
cesium-137 expected if there were no mixing at this location but if the 
sedimentation rate remained the same. The effect of mixing is thus to 
drastically smear out the distribution. Distributions of cesium-137 in 
Saginaw Bay are in fact so dominated by mixing that often the peak (such as 
that seen at about 15 cm in the core at station 10) is completely absent. 
Such distributions provide little reliable sedimentation rate information but 
yield data on mixing depths. Profiles of cesium-137 in other cores are 
illustrated in Figure 36. It can be seen that the activity is smeared over an 

interval ranging from about 10 to 25 cm. 

60 



Cesium-137 (pCi/g) 

2 4 6 

T 




Figure 35. Vertical distribution of cesium-137 in a sediment core at 

station 10. Also shown is a theoretical distribution based on the 

rapid steady-state mixing model (see text). The shaded region 

shows the distribution of cesium-137 expected in the absence of mixing. 



61 



Cesium- l37(pCi/g) 
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Figure 36. Distribution of cesium-137 in selected sediment cores 

(1975 data). 



62 



As part of this report, the vertical distribution of zoobenthos was 
determined in a number of sediment cores (Batac-Catalan et al. 1980). 
Previously, Robbins et al. (1977) observed that the zoobenthos occurred 
primarily in the zone of mixing as defined by radiocesium and radiolead 
profiles and that they were present in sufficient numbers to account for 
estimated mixing rates. A summary plot for cores examined to date from this 
study area, from Lake Huron and from Lake Erie, is given in Figure 37. 
The 90% cutoff depth is very well correlated with the depth of the mixed zone 
(S = -0.2 -f 1.16 Z; r = 0.91, N = 10). Thus, there is strong circumstantial 
evidence that benthic organisms are primarily responsible for the mixing of 
near-surface sediments and the resultant alteration of radioactivity and 
contaminant metal profiles. Previously it had been suggested (Lerman and 
Lietzkie 1975) that profiles of cesium-137 as well as those of strontium-90 
might be affected or even largely determined by diffusional migration. 
However, Robbins et al . (1977) showed that cesium-137 cannot migrate 
significantly in sediments by molecular diffusion as it is strongly bound to 
sediment solids. This result cannot be generalized to include other 
contaminants, tracers, or sedimentary environments however. Cesium-137 can 
experience significant diffusional migration in sediments which do not contain 
minerals with a specific affinity for this radionuclide (cf . Alberts et al. 
1979). Also, a nearly conservative tracer such as Sr-90 undergoes consider- 
able diffusion in sediments of the Great Lakes (Lerman and Lietzkie 1975). 

Shown in Figure 38 is the depth of sediment mixing as determined from 
inspection of Cs-137 profiles. In all cases the depth of penetration of this 
isotope is comparable to or slightly less than the depth of penetration of 
contaminant metals. This result suggests that the organisms mixing sediments 

63 



16 



12 



E 
(J 

CO 




o Saginaw Bay 
• Lake Huron 
■ Lake Erie 



8 
Z90 (cnn) 



12 



16 



Figure 37. Relation between the depth of sediment mixing based on cesium-137 
profiles and the range of zoobenthos which actively redistribute sediments 

(primarily ollgochaetes) . 



64 



MIXED DEPTH (cm) 
5-10 



44«00 — 



43°50 — 



43M0 — 




o 

N 
LOWER SAGINAW BAY 



5 10 
KILOMETERS 



Figure 38. Contour plot of the depth of sediment mixing as determined 

radiometric ally. 



65 



were able to completely homogenize the overlay (zone 2) in the time period 
from about 1964 to 1975 (or about 10 years). Such inferences are based on the 
assumption that local contributions of Cs-137 (such as from the Saginaw River) 
are unimportant. Generally, loading of the isotope from watershed erosion is 
small. The mixed depth contours shown in Figure 38 possess features 
comparable to those in open lake sediments: greatest depths occur toward the 
centers of depositional basins. However, while mixed depths range from about 
2-5 cm in the open lake basins, those in Saginaw Bay range from 5-20 cm. 
The total cesium-137 stored in bay sediments is shown in Figure 39. 
Highest accumulations occur toward the southwestern end of the deposit and in 
areas of deeper water. While the pattern may be interpreted as implying a 
riverine source of the isotope, it must be kept in mind that the gyre-like 
circulation in the lower bay could easily redistribute incoming atmospheric 
and open-lake loadings so as to produce the observed pattern of deposition. 
The mean deposition within the muddy deposits was 13.9 + 1.4 pCi/cm^ in 1975 
and 12.8 +2.3 pCi/cm^ as remeasured in 1978. As very little new Cs-137 was 
introduced during the period from direct fallout, and if river , loadings are 
negligible, then the expected amount stored in 1978 should be less as a result 
of radioactive decay. Assuming losses of Cs-137 through resuspension, the 
expected 1978 activity would be 

13.9 X e-0-69315 x 3/30 =: 12. 96 pCi/cm^ 

which is close to the observed value of 12.8 pCi/cm^. 

If the loading to the lower bay were directly from the atmosphere and 
there were no losses via outflow or gains either from tributary inputs or from 
importation of the isotope from the main lake, the expected amount within the 
lower bay would be 

66 



TOTAL CE 


:siuM- 


137 


(pCi/9) 




H 


>20 




■ 


15-20 




^ 


10-15 




■ 


2-10 




r- 


<2 





44000'— 



43»50- 



43M0 



L 




N 
LOWER SAGINAW BAY 



5 to 

KILOMETERS 



83°30 



Figure 39. Total amount of cesium-137 deposited in sediments of the 

lower bay. 



67 



10 pCi/cm^ (fallout value decay corrected to 1975) x 15.8 x 10^^ cm^ 
(area of the lower bay) = 158 Ci. 



The observed inventory is 

13.9 pCi/cm2 x 3.74 x 10^^ (area of the mud deposit) = 52 Ci. 

Allowing for a maximum of 1 pCi/cm^ deposited over non-muddy areas of the 
lower bay, this amount would contribute 

(15.8 - 3.74) X 10^2 ^ 1.0 pCi/cm^ = 12 Ci. 

Thus, the total amount of Cs-137 in the lower bay is estimated as 
52 + 12 = 64 Ci. Thus, in the absence of watershed contributions, 
there is a net storage of 64/158 = 40% of the cesium-137 entering via at- 
mospheric fallout. The effect of watershed inputs remains to be evaluated. 

Lead-210 

The lead-210 method of dating coastal marine and lacustrine sediments has 
been used with increasing frequency since its first application by Krish- 
naswami et al. (1971). The extensive literature concerning radioactive lead 
isotopes and lead-210 in particular has been recently reviewed by Robbins 
(1978). The method has been shown to be of value in dating fine-grained 
sediments from all of the Great Lakes (Superior: Bruland et al. 1975, Evans 
et al. 1981; Michigan: Robbins and Edgington 1975, Edgington and Robbins 1976; 
Huron: Robbins et al. 1977; Erie and Ontario: Robbins et al. 1978, Farmer 
1978). Generally, the method has been applied to a very limited set of cores. 
Only a brief account of the lead-210 method of dating sediments is given in 
this report. For a detailed discussion of the principles underlying the 
method, see Robbins (1978). 

68 



Lead-210 is produced as the indirect result of the decay of uranium 
present in crustal and sedimentary materials. The principal components in the 
decay scheme are : 

U238 -> R^226(t3^/2 = 1*620 yr) -> Rn222(t-^^2 = 3.8 d) 
-> Pb210(ti/2 = 22.26 yr) -> Po210(t;^/2 = ^38 d) 
-> Pb206 

Short-lived products in the decay scheme are not shown. 

Some lead-210, present in sediments, is produced by in situ decay of 
radiura-226. Generally this is a small and nearly constant activity referred 
to as supported lead-210. In addition to supported lead-210, there is an 
excess which is supplied to sediments from atmospheric deposition. 
Atmospheric lead-210 originates from a unique property of the uranium series 
decay scheme shown above. Radium-226 decays to form the radioactive noble 
gas, radon-222, which diffuses out of crustal materials into the atmosphere. 
Radon-222 decays through a series of very short-lived nuclides to lead-210 
which has a high affinity for atmospheric particulate matter and is rapidly 
scavenged from the air. The flux of lead-210 over the Great Lakes has not yet 
been measured but is expected to be around 0.5 pCi/cm^/yr and quite constant 
from year to year. Once in the water, lead-210 is rapidly transferred to 
sediments and this excess, not being supported by radium activity, decays 
toward supported levels during burial. In sediment cores from the Great 
Lakes, excess lead-210 may be roughly twenty times higher than supported 
levels (cf. Robbins and Edgington 1975). 



69 



In undisturbed cores where the sedimentation rate is constant, the 
activity of excess lead-210 is given by 

A(m) = A^.e-^t = a^ e""^^/^ (9) 

where Aq is the excess activity at the surface (m = o) , t is the time before 
collection (years), m is the cumulative dry weight of sediment (g/cm^), and r 
is the mass sedimentation rate (g/cm^/yr). The radioactive decay constant is 
given by 0.69315/22.26 = 0.311 yr^^. 

The total (observed) activity is given by 

^tot = A(^) + Af 
where Af is the activity of supported lead-210. 

The above equations suffice to describe profiles in sediments where there 
is no mixing. Incorporation of the effects of rapid steady-state mixing is 
comparatively straight-forward for lead-210 (Robbins et al. 1977) as Ag(t) in 
Eq. 8 is essentially constant over time. Using mass units rather than linear 
(cm) units and substituting Aq for Ag(t) in that equation, the distribution of 
excess lead-210 is given by 

A^ = Aq / (1 4- Xs/r) 

A(m) = Anj m £ s > (10) 

= A^e-^ (m-s)/r ^>s. 

This is the equation used to obtain sedimentation rates and mixed depths from 
excess lead-210 profiles. Eq. 10 describes a theoretical profile in which the 
activity of lead-210 is constant from the sediment-water interface down to 
depths. Below that depth (mixed depth) the activity falls off exponentially. 
An example of the lead-210 distribution is given in Figure 40, together 
with the distribution of cesium-137 and ragweed (ambrosia) pollen in a core at 

70 



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71 



station 25 (1975). Note that over the zone of about 12 cm depth, where 
cesiuTn-137 activity is essentially constant, the activity of lead-210 is also 
essentially constant as expected if both isotopes are uniformly mixed. Below 
12 cm, the activity of excess lead-210 falls off more or less exponentially, 
as expected, due to a combination of radioactive decay and burial. A least 
squares fit of model parameters to the distribution yields a mixed depth of 
2.5 g/ car- (12 cm) and a sedimentation rate of 0.078 g/cm^/yr (0.31 cm/yr 
average over upper 20 cm). The ragweed distribution shown in the figure was 
provided by Dr. A. Kemp, formerly with Canada Centre for Inland Waters. Use 
of ragweed pollen data to obtain sedimentation rates in the Great Lakes is 
discussed in detail elsewhere (cf. Robbins et al. 1978). Following forest 
clearance in the Great Lakes region roughly 130 years ago, a dramatic increase 
in production of ragweed pollen occurred. As the grains are well preserved in 
recent sediments of the Great Lakes, the depth at which an increase occurs 
(horizon) may be used to obtain an average sedimentation rate for the past 130 
years or so. In the core at station 25 the horizon is at 30-35 cm, cor- 
responding to a cumulative sediment weight of 10.1 g/cm^. Thus the average 
sedimentation rate is 10.1/130 = 0.078 g/cm^/yr. Such good agreement between 
dating methods is completely accidental in view of the many approximations, 
assumptions, and uncertainties. 

Distributions of excess lead-210 (on a weight soluble basis) are shown 
for additional cores in Figures 41-43. As can be seen, profiles exhibit the 
characteristic zone of mixing below which the activity decreases more or less 
exponentially. Summary data and model parameters derived from least squares 
fits are given in Table 9. These rates must be treated with some reservation 
because exponential portions of the profile occur at depths where there may be 

72 



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gross compositional changes as evidenced by variations in major element com- 
position and because straggling of zoobenthos into sediments below the mixed 
zone may produce profiles with exponential features. Trends in the apparent 
sedimentation rates over the mud deposit are shown in Figure 44. Highest 
rates occur toward the southwestern end of the deposit and decrease almost 
monotonically with increasing distance along the main axis of the deposit 
toward the far end of the lower bay. This trend could be interpreted as the 
effect of river loading. However, a similar trend was found earlier in 
sediments of the Goderich basin. Higher mass sedimentation rates occurred 
toward the eastern margin of the basin where enhanced deposition of dolomite 
occurs. Similarly, in the bay, highest apparent sediment accumulation rates 
tend to occur in areas of greatest concentrations of calcium and magnesium. 
Preferential accumulation of these silt size constituents in the southwestern 
end of the mud deposit may reflect prevailing current structure as much as the 
distribution and loading of source materials. 

Also shown in Table 9 is the time resolution associated with each core. 
This concept has been discussed in detail elsewhere (Robbins 1980). Briefly, 
the effect of steady-state mixing is to smear out signals in the sedimentary 
record. A measure of the fidelity of the record is the time resolution with 
which two events may be distinguished. This time is given approximately as 
the residence time of a particle within the mixed layer, which in turn is 
given as the ratio of the mixed depth (g/cm^) to the sedimentation rate 
(g/cm^/yr). Within the mud deposits of the lower bay this time varies from 11 
to 60 years, with a mean value for cores examined of 30 years. This latter 
value may be taken as the approximate mean particle integration time for these 
deposits. 

77 



APPARENT SEDIMENTATION 
RATE (g/cm2/yr) 



44^00 



43*50'- - 



43M0' 




Bay City 



LOWER SAGINAW BAY 



Figure 44. Apparent sedimentation rates at selected locations in the 
lower bay based on lead-210 profiles. 



78 



If resuspension of particles out of the mixed layer is an important means 
of exchange of contaminants between sediments and water, the effect of this 
integration process is twofold. At the onset of contamination loadings, rapid 
mixing of sediments over an interval corresponding roughly to 30 years serves 
to remove contaminants from the water coluinn more efficiently. However, with 
the cessation of contaminant loadings, the mixed layer serves to maintain 
levels in the bay through resuspension with a time constant of about 30 years. 

NET METAL CONTAMINANT FLUXES 

In the absence of sediment mixing, the estimate of the current and 
historical rates of deposition of a particle bound (non-mobile) metal 
contaminant would be straightforward. If the concentration of a given element 
in the sediments corresponding to a time t in the past was C(t), then the rate 
of deposition would be F(t) = r*C(t) where r is the sedimentation rate 
(g/cm^/yr). The net (anthropogenic) flux would be r*(C(t) - C^) where C^ is 
the estimated "background" concentration. 

Because of mixing, however, present and historical net fluxes cannot be 
estimated unless some assumption is made concerning the time dependence of the 
flux. Previous work (Robbins 1980, Edgington and Robbins 1976) has shown that 
the vertical distribution of many contaminant elements (Pb, Cu, Cd, Zn) is 
consistent with a roughly exponential increase in loading since 1800 and that 
the doubling time is approximately 20 years. Assuming that form of the 
loading, the rate of deposition may be inferred for the time of collection of 
the cores as follows: 



79 



For stable elements (with no radioactive decay), the net concentration of 
an element in the mixed zone is given by Eq. 8 with A = or 



^t Te + At 



C^(t) = Ae-^t / e -^ At c^Ct) dT (11) 



where Cg is the concentration of an element in materials deposited at the 
sediment surface. 

In accordance with the above discussion, Cg has the form 

Cs(t) = Cs(o) e^'t (12) 

where A' = 0,6932/t^ and t^ is the doubling time -20 years. 

Substituting Eq. 11 into Eq. 12 and integrating 

Y 
Cm(t) = eA't Cg(o) (13) 

Y+A ' 

The flux to the surface in 1975 is then 

Fo(o) = r*Cs(o) eA't (^=0) (14) 



y +A ' 

y 



^m ^ 



Note then that the product C^*r is simply the net or excess metal concentra- 
tion in mixed layer times the sedimentation rate. If the time dependence of 
the input is essentially exponentially increasing, the correction for mixing 
is given as 

y + A 
Fcor = (15) 

y 



80 



where Y is the ratio s/r and Y"-^ is simply the time resolution discussed 
above. Values of this correction factor and estimated fluxes corrected by 
time factors are given in Table 10. Net fluxes are consistently much higher 
in Saginaw Bay than in Goderich basin of Lake Huron (main depositional area) 
because of the much higher sedimentation rates in the bay. The total rate of 
accumulation of selected contaminant metals generally exceeds that expected 
from atmospheric loadings. Approximate atmospheric loadings are summarized by 
Robbins (1980). For copper, the atmospheric flux is approximately 0.41 
IJg/cm^/yr which implies a loading to the lower bay of 

0.41 X 15.8 X 10^2 ^g/yr = 6.5 metric tons/yr 
whereas the estimated deposition is 28 metric tons/yr. Similarly for nickel, 
the atmospheric loading of about .23 3Jg/cm'-/yr corresponds to 3.6 metric 
tons/yr as compared with an estimated deposition of 30 metric tons/yr. 
These elements would appear to have major non-atmospheric sources. 
In contrast, a lead atmospheric deposition of about 1.7 yg/cm^/yr implies a 
total loading of 27 metric tons per year which is very comparable to the 
calculated sediment deposition rate of 40 metric tons. As most anthropogenic 
lead in the environment results from combustion of fuel additives and coal, 
the atmospheric pathway is the primary route to loading of aquatic systems. 
Thus the agreement between these numbers supports the validity of this 
approach. Atmospheric loadings of zinc (2.6 yg/cm^/yr) imply a total 
deposition of 40 metric tons per year as compared with 86 metric tons per year 
into sediments. Thus zinc is comparable to lead in terms of the predominance 
of atmospheric inputs into sediments of the lower bay. 



81 



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82 



VERTICAL DISTRIBUTION OF DISSOLVED SILICON AND PHOSPHORUS 

The vertical distribution data are available for dissolved Ba, Ca, Fe, Mg, 
Mn, P(SRP), K, Na, Si(SRS), and Sr (Table 31 of the Data File, see page 96) for 
two cores from Saginaw Bay (station 30) and from Lake Huron sites as well. 
Results for the Saginaw Bay cores are generally comparable to those from the 
open lake (in terms of pore water concentrations, gradients, and fluxes). For a 
detailed discussion see Robbins (1980). Of particular interest are the dis- 
tribution of SRP and SRS. Soluble reactive phosphorus concentrations in over- 
lying water are essentially undetectable (<0.1 ppm) . In pore water, concen- 
trations rise to a maximum of 5.5 ppm at 4-5 cm depth, decreasing with increas- 
ing sediment depth to values of around 3 ppm. Values in a replicate core are 
somewhat sporadic because of minor oxygen contamination (see Robbins 1980). 
The gradient at the sediment water interface is about 1.5 pg P04/cm^. 
Gradients of PO4 in the open water sediments were 0.5-0.8 yg P04/cm^. 
Assuming an effective diffusion coefficient of about 5 x 10""^ cm^/sec or 160 
cm^/yr, the apparent flux across the sediment surface is about 240 yg/cm^/yr. 
The net downward flux of acid soluble P (as PO4) is 1,680 yg/g x 0.2 g/cm^/yr 
= 330 yg/cm^/yr. Within the uncertainties of the calculation these fluxes are 
comparable, suggesting steady-state conditions with respect to incoming and 
outgoing fluxes of SRP. For silicon, the concentration in overlying water is 
about 2 yg/ml. The distribution in core 30A and 30A2 is shown in Figure 45. 
The break in concentration values around 5 cm is unexplained but reproducible 
in two cores. Equilibrium concentrations are around 25 yg Si/ml. The 
gradient at the sediment water interface is about 5.5 yg/cm^ which implies a 
flux of 660 yg/cm2/y-c, assuming a diffusion coefficient of 120 qxqZ fy^ (See 
Robbins 1980). This estimated flux is at the low end of the range of fluxes 

83 



SAGINAW BAY CORES 
(EPA-SLH-75) 




5 10 15 20 25 

DISSOLVED SILICON ()jig/ml) 

Figure 45. Vertical distribution of soluble reactive 
silicon (SRS) in two cores from station 30. 



84 



calculated from pore water gradients in southern Lake Huron cores (Robbins 
1980), 750-1,700 pg Si/cm^/yr, and as measured directly in northern Lake Huron 
cores by Remmert et al. (1977), 1,020-2,050 yg Si/cm^/yr. 

NUTRIENT FLUXES 

The results of direct flux measurements for silicon are shown as a func- 
tion of season in Figure 46 for cores taken at station 31. Fluxes measured 
directly in cores are consistently higher than values based on pore water 
gradients and show a marked seasonal variation with maximum silicon release 
occurring during August. The seasonal variations in this flux may be 
attributed primarily to sediment temperature variations as illustrated by 
Figure 47. The solid line represents the conventional thermodynamic 
description (Arrhenius equation) of the temperature dependence of dissolution 
with an activation energy of 16.3 k/Cal/mole as determined by least squares 
methods . 

The role of organisms (especially chironomids) in silica regeneration is 
well documented for other lakes (Tessenow 1964) and may be expected to occur 
in Saginaw Bay where such organisms occur. The silica fluxes measured in a 
series of cores during fall cruises when chironomids were present are provided 
in Table 11. It can be seen that the dominant benthic taxon in terms of 
numbers are the immature tubificid worms. However, densities of these 
organisms correlate poorly with the silicon flux, as can be seen from 
Table 12. Because of the limited number of observations, most correlations 
are not significant. However, the correlation between the Si flux and the 
density of chironomids is high and significant for both observation periods 
(Fig. 48). In this experiment, other nutrients were measured as well and 

85 



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5. 

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Figure 47. Temperature dependence of the soluble reactive silicon flux 

at station 31. 



87 



TABLE 11 • Zoobenthos density and soluble reactive silicon fluxes from cores 
collected in Saginaw Bay, Lake Huron. 







Core 




Density 


( number /m' 


■2) 






Cruise 


Tublfj 


Lcidae 


Naididae 


Ch 


ironomidae 


Silicon Flux 


Number 


Mature 


Immature 


(Ug/cm2/yr) 


7* 


1 


850 


40,000 


5,900 







1,100 




3 


850 


65,000 


7,900 







770 




1' 


280 


8,200 


850 




560 


1,800 




2' 


1,700 


29,000 


8,200 




850 


2,700 




3' 


2,300 


18,000 


560 




560 


1,680 


8** 


1 


1,400 


23,000 







1,130 


3,600 




2 


280 


5,600 










1,300 




8 


280 


5,600 







280 


1,600 




2' 


280 


29,000 


13,000 




560 


2,400 



* October, 1978. **November, 1978. 



TABLE 12. Correlations* between nutrient fluxes and benthic organism densi- 
ties in cores from station 31 in Saginaw Bay, Lake Huron. 









(CRUISE 7) 






Organism 


Phosphate 


Ammonia Nitrate 


Sulfate 


Silicon 


Group 


(PO4) 


(NH3) (NO3) 


(SO4) 


(Si) 


Tub. Mature 


0.93 


-0.09 -0.17 


-0.75 


-0.07 


Immature 


0.07 


-0.82 0.69 


-0.54 


-0.36 


Naididae 


-0.19 


-0.49 0.13 


-0.41 


-0.29 


Chironomidae 


0.11 


0.74 0.04 


0.04 


0.97 


Total 


0.06 


-0.69 0.55 


-0.56 


-0.26 







(CRUISE 8) 






Organism 


Phosphate 


Ammonia Nitrate 


Sulfate 


Silicon 


Group 


(PO4) 


(NH3) (NO3) 


(SO4) 


(Si) 


Tub. Mature 


0.41 


0.92 0.23 


0,97 


0.88 


Immature 


0.23 


0.14 0.93 


0.22 


0.49 


Naididae 


-0.30 


0.63 0.78 


-0.50 


0.13 


Chironomidae 


0.09 


0.63 0.25 


0.76 


0.99 


Total 


-0.9 


-0.05 0.94 


0.01 


0.62 



*Correlations which are significant on both sampling periods are underlined. 



88 



4000- 



CM 

E 

-^ 

(J) 

o» 

J. 

X 

3 



O 
O 



2000 



^ 4000- 



2000 



STATION 31/31' 
SAGINAW BAY 

CRUISE 7: OCT 1978 



F=873+ 1.86 N, 



1 



CRUISE 8 : NOV. 1978 



F= 1130+ 2.15 N, 



400 



800 



1200 



CHIRONOMID DENSITY (m^) 



1600 



Figure 48. Relation between the SRS flux at station 31 and density 
of Chironomid larvae during the fall months (1978). 



89 



correlations which are persistently higher over both cruises are underlined in 
Table 12 • 

The results for silicon suggest the relationship: 

Flux = 1,000 + 2 X chironomid larvae density, 
where the flux is in micrograms Si/cm^/yr and the density is in numbers m~^. 
As the mean density of chironomid larvae at this location is about 500 m"^, 
roughly half the flux of silicon from the sediments is attributable to the 
presence of these organisms. This circumstantial evidence for the effect of 
chironomids is strengthened by considering Tessenow's experiments with 
sediments from Lake Heiden, Germany (Tessenow 1964), in which he demonstrated 
a causal relationship. Addition of chironomids (Plumosus group) to his 
sediments resulted in enhanced silicon release. Converting Tessenow' s results 
to the above form, his experiments yield: 

Flux = 1,000 + 4 X chironomid larvae density. 

Graneli (1977) has also observed that Chironomus plumosus larvae increase 
the release of silica as well as phosphorus from sediments of several lakes in 
Sweden. It would therefore seem likely that, at least in shallow waters pf 
the Great Lakes where fine-grained sediments can be found, such as lower 
Saginaw Bay and most of Lake Erie, chironomid larvae may play a major role in 
the regeneration of silicon from sediments. In Lake Erie, average chironomid 
densities may be as high as 1,000 m"^ (P. McCall, Dept. of Geological 
Sciences, Case Western Reserve University, Cleveland, Ohio, pers. comm.). 
That these organisms may enhance silicon fluxes does not necessarily mean that 
their removal or exposure to aquatic pollutants will result in a long-term 
reduction in the capacity of the sediments to return silicon to overlying 
waters. It is always possible that the ecological niche represented by 



90 



processing of silica-rich diatom detritus can be filled by another biotic or 
abiotic component. It should be noted that Robbins and Edgington (1979) found 
that the flux of Si from sediments in Lake Erie is proportional to the 
concentration of amorphous silicon in surface sediments. This result suggests 
that the flux is dominated by dissolution of particulate silica recently 
deposited on the sediment surface. Processing of such materials by 
chironomids, which can selectively attract and ingest diatom fragments by 
controlling water movements in the vicinity of their burrows, (D. White, 
School of Natural Resources, University of Michigan, Ann Arbor, Michigan, 
pers. comm.), would enhance silica fluxes but reduce pore water silica 
gradients. 

CONCLUSIONS 

During the period from 1975 through 1978, sediment cores and grab sam- 
ples were collected from over 100 sites evenly arrayed in lower Saginaw Bay. 
This intensive coverage of the lower bay, with subsequent comprehensive 
analysis of sediments for over 30 elements,, as well as other properties, has 
provided a detailed picture of the type of sedimentary materials present and 
patterns of major element and metal contaminant concentrations. This study 
has revealed an extensive mud deposit in the lower bay covering about 400 km^, 
oriented predominantly with the bathymetric contours but skewed toward the 
western side of the bay in shallower regions, presumably as a result of 
prevailing gyre-like current patterns. The clay content of this deposit 
exceeds 50% toward the center and in parts lying in deeper water. The mean 
grain size in the high clay areas exceeds 6 phi units. Grain sizes increase 
toward the margins of this basin, exhibiting the classic pattern associated 

91 



with hydrodynamic particle sorting. Calcium family elements (Ca, Mg, and 
inorganic carbon) are preferentially concentrated at the southwestern end of 
the deposit, either because of the distribution of source materials or current 
structure in the bay. 

Iron and organic carbon exhibit highest concentrations in the clay-rich 
sediments. Most contaminant metals such as lead, zinc, copper, nickel, and 
chromium are strongly correlated with iron concentrations (r>0.9 in most cases 
for N>30) and thus have very similar surface concentration patterns. Concen- 
trations of contaminant metals in surface sediments are consistently lower 
than concentrations in deposit ional basins of the open lake. Because the 
Saginaw River is considered to be a strong tributary source of contaminants, 
low metal concentrations in lower bay sediments require explanation. At least 
two processes reduce concentrations: (1) dilution of contaminants by a 
greater amount of allochthonous material in the bay, and (2) intensive re- 
working of sediments by zoobenthos. Corrections made for dilution effects 
show that chromium is significantly higher in sediments of Saginaw Bay than in 
open lake deposits. Vertical distributions of minor elements, cesiura-137 and 
lead-210, show that the upper 10-25 cm of sediment are extensively reworked. 
The depth of sediment mixing varies systematically over the deposit, with 
highest values occurring toward the centers in fine-grained materials. 

Vertical distributions of benthic organisms (primarily worms) indicate 
that 90% of the zoobenthos occur within the zone of mixing as determined 
radiometrically. Thus, organisms are probably responsible for sediment mix- 
ing. Numbers of benthos range from 10,000 to 50,000 m~^ and are sufficiently 
abundant to recycle particle bound contaminants in the mixed zone annually. 



92 



The total amount of cesium-137 stored in sediments of the lower bay is 
estimated to be 64 Ci , as compared with an estimated 158 Ci deposited over the 
same area from cumulative atmospheric fallout (decay corrected to 1975). 
In the absence of tributary contributions, the muddy deposit appears to be 
about 40% efficient in retaining this radionuclide. Integrated amounts of 
contaminant metals such as Cr, Cu, Ni, Pb, and Zn (yg/cm^) far exceed amounts 
stored in offshore deposits. A comparison with atmospheric loadings shows 
that Cr, Cu, and Ni especially have strong non-atmospheric sources in the bay. 
Thus, relatively low surface concentrations of these elements conceal the fact 
that much contamination has been reworked dox^nward to appreciable depths. 
Total inventories of metal contaminants in metric tons are: Cr, 1,100; 
Cu, 590; Ni, 590; P, 11,000; Pb, 850; and Zn, 1,800. 

Sediment mixing is, in fact, so deep that cesium-137 provides little or 
no information on sedimentation rates. However, lead~210 appears to give 
valid rates. Sedimentation rates based on ragweed pollen data and lead-210 in 
one core are very consistent. Values determined from lead-210 in 12 cores 
range from 0.07 to 0.24 g/cm^/yr and imply a total mass accumulation in the 
deposit of 6.3 x 10^ metric tons per year. The relatively few sedimentation 
rate values indicate a systematic variation in rate over the deposit, with 
highest rates occurring at the southwestern end in proximity to the Saginaw 
River. Contaminant metal current deposition rates are estimated using a model 
of steady state mixing and exponential increase in loading with a 20 year 
doubling time. Annual loadings are estimated in metric tons/year as: Cr, 54; 
Cu, 28; Ni, 30; P, 420; Pb, 40; and Zn, 86. 

In combination with sediment mixing depths, sedimentation rates provide a 
measure of the particle residence time in the mixed layer. This time is also 

93 



equivalent to the time resolution in cores and, to the extent that resuspen- 
sion of particle-bound contaminants from the mixed layer controls concen- 
trations in the water column, is also the response time for recovery of the 
bay as a closed system to cessation of external contaminant loads. In the 
cores examined, this time varies from 11 to 60 years with a mean of 30 years. 
This latter value is presently the best estimate of mixed layer residence time 
to be used in bay-wide eutrophication models involving resuspension processes. 

Direct flux measurements provided the following average values over the 
period from April 1978 to November 1978: P, -530 yg P/cm^/yr; N(NH3), +200 pg 
N/cm^/yr; N(N03), -360 yg N/cm^/yr; and Si, 3,000 yg Si/cm^/yr. Releases of 
Si constitute a major input of Si to the bay. The flux of silicon from 
sediments exhibits an annual cycle ranging from about 1,500 yg/cm^/yr in the 
spring to a maximum of about 6,000 yg/cm^/yr in August. The mean flux may be 
reliably predicted from thermodynamic expressions and the sediment tempera- 
ture. During the fall months the flux in individual cores is strongly corre- 
lated with the numbers of chironomid larvae present. Correlations between 
other nutrient fluxes and organism densities are generally insignificant. 

Further studies attempting to account for the behavior of contaminants 
and materials in the lower bay system must take account of zoobenthos-mediated 
integration processes occurring in sediments. A further deception occurring 
as a result of dilution of contaminants by inert materials and extensive 
reworking should be considered: low concentrations of contaminants in bulk 
sediment do not necessarily imply reduced transfer up the food chain by 
benthos. Their particle selective feeding behavior may allow them to take 
full advantage of contaminants on food particles distributed throughout the 
reworked zone. Experience with intensive coring in the lower bay as well as 

94 



the open lake demonstrates the high degree of spatial heterogeneity in 
sediment composition and accumulation/mixing rates within depositional basins. 
Sediment budget calculations, if they are to be realistic, must take account 
of sediment variability. In modelling the behavior of contaminants and 
nutrients in the water column, depositional and non-depositional zones should 
be treated separately with realistic model elements characterizing integration 
and resuspension processes. Direct flux measurements are to be preferred to 
pore water gradient flux estimates because of a multiplicity of effects, 
including surface dissolution processes and zoobenthos mediated exchange of 
solutes . 

ACKNOWLEDGMENTS 

I should like to thank J. Murphy, captain of the R/V Simons, and the crew 

as well as E. McCue of the R/V Bluewater for their good-natured assistance in 

carrying out the sampling operations. Thanks are due R. Rossmann and 

E. Seibel and their staff for help in analysis of samples for grain-size 

distributions. I appreciate the assistance of K. Johansen and J. Krezoski in 

making radionuclide measurements, and K. Remmert , G. Burin, L. Hess, and 

M. Willoughby for their help in the laboratory work. Thanks are due J. Jones 

for his assistance in conducting the neutron activation analysis of samples at 

the Phoenix Memorial Laboratory, University of Michigan. I appreciate the 

help of Z. Batac-Catalan and D. White in the determination of the composition 

of benthos in sediment samples. I wish to express my appreciation to 

S. Schneider, Lisa Tabak, and to the technical illustration group for their 

help in production of this report. Finally, a special note of appreciation to 

several individuals at the USEPA Grosse lie Laboratory and the Great Lakes 

95 



Environmental Research Laboratory (NOAA) for their support of this work: 
M. Mullin, N. Thomas, B. Eadie, and £• Aubert . 

DATA FILE 

The complete set of data on which this report is based includes grain 
size distributions, elemental concentrations in sediments and in pore water, 
nutrient fluxes, abundances of zoobenthos and element regression tables. 
The 278-page data file is available from the author upon request (J. A. 
Robbins, Great Lakes Environmental Research Laboratory, 2300 Washtenaw Ave., 
Ann Arbor, Michigan 48104). 



96 



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Batac-Catalan, Z., J. R. Krezoski, J. A. Robbins, and D. S. White. 1980. 

Distribution and abundance of zoobenthos in the muddy deposits of 

Saginaw Bay, Lake Huron. 23rd Conf . on Great Lakes Research of the 

International Association for Great Lakes Research, Kingston, Ontario. 

May 19-22. Abstracts p. 63. 
Bruland, K. W., M. Koide, C. Bowser, and E,. D. Goldberg. 1975. Lead-210 

and pollen geochronologies on Lake Superior sediments. Quater. Res. 

5: 89-98. 
Dams, R., and J. A. Robbins. 1970. Nondestructive neutron activation 

analysis of environmental samples. Great Lakes Research Division, 

University of Michigan, Special Report No. 48. 101 pp. 
Edgington, D. N., and J. A. Robbins. 1976.. Records of lead deposition in 

Lake Michigan sediments since 1800. Environ. Sci. Technol. 10: 266-274. 
Evans, J. E., T. C. Johnson, E. C. Alexander, Jr., R. S. Lively, and 

S. J. Eisenreich. 1981. Sedimentation rates and depositional processes 

in Lake Superior from lead-210 geochronology . J. Great Lakes Res. 

7: 299-310. 
Farmer, J. G. 1978. Lead concentration profiles in lead-210 dated Lake 

Ontario sediment cores. Sci. Total Environ. 10: 117-127. 
Graneli, W. 1977. Sediment respiration and mineralization in temperate 

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Sweden. Summary 9 pp. 

97 



Kemp, A. L. W., and R. L. Thomas. 1976 • Cultural impact on the geochemistry 
of the sediments of Lakes Ontario, Erie and Huron. Geosci. Can. 3: 191- 
207. 

Kemp, A. L. W. , T. W. Anderson, R. L. Thomas, and A. Mudrochova. 1974. 
Sedimentation rates and recent sediment history of Lakes Ontario, 
Erie and Huron. J. Sediment. Petrol. 44: 207-218. 

Krishnaswami, S., D. Lai, J. M. Martin, and M. Meybeck. 1971. Geochronology 
of lake sediments. Earth Plant. Sci. Lett. 11: 407-414. 

Lerman, A., and T. A. Lietzke. 1975. Uptake and migration of tracers in 
lake sediments. Limnol. Oceanogr. 20: 497-510. 

Remmert, K. M. , J. A. Robbins, and D. N. Edgington. 1977. Release of dis- 
solved silica from sediments of the Great Lakes. 20th Conference on 
Great Lakes Research, International Association for Great Lakes Research. 

Robbins, J. A. 1978. Geochemical and geophysical applications of radio- 
active lead. In J. 0. Nriagu (ed). The Biogeochemistry of Lead in the 
Environment. Elsevier/North-Holland Biomedical Press, New York. 
Vol. lA, 285-393. 

Robbins, J. A. 1980. Sediments of southern Lake Huron: Elemental compo- 
sition and accumulation rates. U.S. Environmental Protection Agency, 
Research Reporting Series EPA-600/3-80-080 August 1980. 310 pp. + 
Appendix. 198 pp. 

Robbins, J. A., and D. N. Edgington. 1975. Determination of recent sedimen- 
tation rates in Lake Michigan using Pb-210 and Cs-137. Geochim. 
Cosmochim. Acta. 39: 285-304. 



98 



Robbins , J. A., and D. N. Edgington. 1979. Release of dissolved silica 

sediment of Lake Erie. 22nd Conference on Great Lakes Research, 

International Association for Great Lakes Research. Abstracts, p. 19. 
Robbins, J. A., J. R. Krezoski, and S. C. Mozley. 1977. Radioactivity in 

sediments of the Great Lakes: Post-depositional redistribution by 

deposit-feeding organisms. Earth Planet. Sci. Lett. 36: 325-333. 
Robbins, J. A., D. N. Edgington, and A. Lo W. Kemp. 1978. Comparative 

lead-210, cesium-137 and pollen geochronologies of sediments from Lakes 

Ontario and Erie. Quater. Res. 10: 256-278. 
Royse, C. F. 1970. Introduction to sedimemt analysis. Arizona State 

College, Tempe, Arizona. 
Strickland, J. D. H., and T. R. Parsons. 1972. A practical handbook of sea 

water analysis. Fisheries Research Board, Canada, Bull. No. 125. 

Ottawa. 185 pp. 
Tessenow, U. 1964. Experimental investigations concerning the recovery of 

silica from lake mud by Chironomid larvae (Plumosus group). Archiv. f. 

Hydrobiol. 60: 497-504. 
Thomas, R. L. , A. L. W. Kemp, and C. F. M. Lewis. 1973. The surficial 

sediments of Lake Huron. Can. J. Earth Sci. 10: 226-271. 
Wood, L. E. 1964. Bottom sediments of Saginaw Bay, Michigan. J. Sed . 

Petrol. 34 173-184. 



99 



PUBLICATIONS AND PRESENTATIONS 

RECEIVING EPA SUPPORT 

UNDER GRANT R804686 TO DATE: 

Burin, G« , and J. A. Robbins. Polychlorinated biphenyls (PCBs) in dated 

sediment cores from southern Lake Huron and Saginaw Bay. 20th Annual 
Conference on Great Lakes Research of the International Association for 
Great Lakes Research, Ann Arbor, Michigan. May 10-12, 1977. 

Johansen, J. A., and J. A. Robbins. Fallout cesium-137 in sediments of 

southern Lake Huron and Saginaw Bay. 20th Annual Conference on Great 
Lakes Research of the International Association for Great Lakes Research, 
Ann Arbor, Michigan. May 10-12, 1977. 

Robbins, J. A. Recent sedimentation rates in southern Lake Huron and 

Saginaw Bay. 40th annual meeting of the American Society of Limnology 
and Oceanography. Lansing, Michigan, June 20-23, 1977. 

Ullman, W. , and J. A. Robbins. Major and minor elements in sediments of 

southern Lake Huron and Saginaw Bay: patterns and rates of deposition, 
historical records and interelement associations. 40th annual meeting of 
the American Society of Limnology and Oceanography. Lansing, Michigan, 
June 20-23, 1977. 

Robbins, J. A. Limnological applications of natural and fallout radio- 
activity in the Great Lakes, S3miposium on limnology of the Great Lakes, 
40th annual meeting of the American Society of Limnology and Ocean- 
ography, East Lansing, Michigan, June 20-23, 1977. 



100 



Robbins , J. A., and L. W. Hess. Concentration profiles of heavy metals in 
recent sediments of Saginaw Bay, Lake Huron. Annual Meeting of the 
Ecological Society of America, Michigan State University, East Lansing, 
Michigan, August 21-26, 1977. 

Robbins, J. A., P. McCall, J. B. Fisher, and J. R. Krezoski. Effect of 

deposit feeders on migration of radiotracers in lake sediments. American 
Society of Limnology and Oceanography ,» 41st Annual Meeting, Victoria, 
British Columbia, June 19-22, 1978. 

Robbins, J. A. Aspects of the interaction between benthos and sediments 
in the North American Great Lakes and effects of toxicant exposures. 
Invited paper for the Symposium on the Theoretical Aspects of Aquatic 
Toxicology, Borok, USSR, July 3-5, 1979. 

Robbins, J. A., and J. R. Krezoski. Effect of benthos on transport of 

particles and solutes in freshwater sediments. 9th Northeast Regional 
Meeting of the American Chemical Society, Syracuse, New York, October 2- 
5, 1979. Abstract. 

Krezoski, J. R. , and J. A. Robbins. Radiotracer studies of sediment rework- 
ing by Lumbriculid Ollgochaetes , 28th Annual Meeting of the North 
American Benthological Society, Georgia State University, Savannah, 
Georgia, March 26-28, 1980. 

Robbins, J. A. Seasonal variations in the flux of silica from sediments in 

Saginaw Bay. 23rd Conference of the International Association for Great 
Lakes Research, Queen's University, Kingston, Ontario, May 19-22, 1980. 
Abstracts, p. 41. 



101 



Batac-Catalan, Z., J. R. Krezoski, J. A. Robbins, and D. S. White. Distri- 
bution and abundance of zoobenthos in the muddy deposits of lower Saginaw 
Bay, Lake Huron. 23rd Conference of the International Association for 
Great Lakes Research, Queen's University, Kingston, Ontario, May 19-22, 
1980 • Abstracts, p. 63. 

Krezoski, J. R. , and J. A. Robbins. Radiotracer studies of interactions 

between sediments and freshwater macrobenthos. The 21st Congress of the 
International Association of Theoretical and Applied Limnology, Kgoto, 
Japan. Aug. 24-31, 1980. Verb. Internat. Verein. Limnol. 21, 382, 1981. 

Robbins, J. A. Stratigraphic and kinetic effects of sediment reworking by 

Great Lakes zoobenthos. 2nd International Symposium on the interactions 
between sediments and freshwater. Queen's University, Kingston, Ontario, 
Canada. June 14-18, 1981. 

Robbins, J. A. Geochemical and geophysical applications of radioactive 

lead isotopes. In: Biogeochemistry of lead in the environment. Part A., 
J. 0. Nriagu (Ed.), Elsevier Scientific Publishers, Amsterdam, 
Netherlands. Vol. lA. (1978) 285-393. 

Robbins, J. A., J. R. Krezoski, and S. C. Mozley. Radioactivity in sedi- 
ments of the Great Lakes: postdepositional redistribution by deposit- 
feeding organisms . Earth Planet. Sci. Lett. 36, (1977) 325-333. 

Krezoski, J. R., S. C. Mozley, and J. A. Robbins. Influence of benthic 
macroinvertebrates on mixing of profundal sediments in Lake Huron. 
Limnol. Oceanogr. 23 (1978) 1011-1016. 

Robbins, J. A., D. N. Edgington, and A. L. W. Kemp. Comparative lead-210, 

cesium-137 and pollen geochronologies of sediments from Lakes Ontario and 
Erie. Quatern. Res. 10 (1978) 256-278. 

102 



Robbins, J. A., P. L. McCall, J. B. Fisher, and J. R. Krezoski. Effect of 

deposit feeders on migration of cesium~137 in lake sediments • 

Earth Planet. Sci. Lett. 42 (1979) 277-287. 
Meyers, P. A., N. Takeuchi, and J. A. Robbins. Petroleum hydrocarbons in 

sediments of Saginaw Bay, Lake Huron. J. Great Lakes Res. 6 (1980) 

315-320. 
Robbins, J. A. Aspects of the interaction between benthos and sediments of 

the North American Great Lakes and effects of toxicant exposures. 

In : Proc. of the US-USSR Symposium on Theoretical Aspects of Aquatic 

Toxicology, Borok, Jaroslavl, USSR, July 3-5, 1979. 
Robbins, J. A. Stratigraphic and dynamic effects of sediment reworking by 

Great Lakes zoobenthos. Hydrobiologia 92 (1982): 611-622. 



103