scholarly journals Report of progress of stream measurements for the calendar year 1905, Part VI, Great Lakes and St. Lawrence River drainages

1906 ◽  
Keyword(s):  
Great Lakes ◽  
River Drainages ◽  
St Lawrence River

Zebra Mussels as Biomonitors for Organic Contaminants in the Lower Great Lakes

1996 ◽  
Vol 31 (2) ◽  
pp. 411-432 ◽  
Author(s):  
Michael E. Comba ◽  
Janice L. Metcalfe-Smith ◽  
Klaus L.E. Kaiser
Keyword(s):  
Great Lakes ◽  
Organic Contaminants ◽  
Lake Erie ◽  
Soft Tissues ◽  
Lake Ontario ◽  
Dry Weight ◽  
Zebra Mussels ◽  
Organic Contamination ◽  
Contamination Levels ◽  
St Lawrence River

Abstract Zebra mussels were collected from 24 sites in Lake Erie, Lake Ontario and the St. Lawrence River between 1990 and 1992. Composite samples of whole mussels (15 sites) or soft tissues (9 sites) were analyzed for residues of organochlo-rine pesticides and PCBs to evaluate zebra mussels as biomonitors for organic contaminants. Mussels from most sites contained measurable quantities of most of the analytes. Mean concentrations were (in ng/g, whole mussel dry weight basis) 154 ΣPCB, 8.4 ΣDDT, 3.5 Σchlordane, 3.4 Σaldrin, 1.4 ΣBHC, 1.0 Σendosulfan, 0.80 mirex and 0.40 Σchlorobenzene. Concentrations varied greatly between sites, i.e., from 22 to 497 ng/g for ΣPCB and from 0.08 to 11.6 ng/g for ΣBHC, an indication that mussels are sensitive to different levels of contamination. Levels of ΣPCB and Σendosulfan were highest in mussels from the St. Lawrence River, whereas mirex was highest in those from Lake Ontario. Overall, mussels from Lake Erie were the least contaminated. These observations agree well with the spatial contaminant trends shown by other biomoni-toring programs. PCB congener class profiles in zebra mussels are also typical for nearby industrial sources, e.g., mussels below an aluminum casting plant contained 55% di-, tri- and tetrachlorobiphenyls versus 31% in those upstream. We propose the use of zebra mussels as biomonitors of organic contamination in the Great Lakes.

Early Maize in Northeastern North America: A Comment on Emerson and Colleagues

2021 ◽  
Vol 86 (2) ◽  
pp. 425-427
Author(s):  
John P. Hart ◽  
William A. Lovis ◽  
M. Anne Katzenberg
Keyword(s):  
North America ◽  
Great Lakes ◽  
Empirical Evidence ◽  
River Valley ◽  
Human Bone ◽  
Northeastern North America ◽  
Isotopic Evidence ◽  
St Lawrence River

Emerson and colleagues (2020) provide new isotopic evidence on directly dated human bone from the Greater Cahokia region. They conclude that maize was not adopted in the region prior to AD 900. Placing this result within the larger context of maize histories in northeastern North America, they suggest that evidence from the lower Great Lakes and St. Lawrence River valley for earlier maize is “enigmatic” and “perplexing.” Here, we review that evidence, accumulated over the course of several decades, and question why Emerson and colleagues felt the need to offer opinions on that evidence without providing any new contradictory empirical evidence for the region.

Defining the sources of airborne polychlorinated biphenyls: evidence for the influence of microbially dechlorinated congeners from river sediment?

2000 ◽  
Vol 57 (S1) ◽  
pp. 86-94 ◽  
Author(s):  
Jeff Chiarenzelli ◽  
Brian Bush ◽  
Ann Casey ◽  
Ed Barnard ◽  
Bob Smith ◽  
...  
Keyword(s):  
Great Lakes ◽  
River Sediment ◽  
Polychlorinated Biphenyl ◽  
Specific Pattern ◽  
Great Lakes Region ◽  
Superfund Sites ◽  
Aroclor 1248 ◽  
Time Period ◽  
A Minor ◽  
St Lawrence River

Sampling on Akwesasne Mohawk Nation lands during 1993 yielded elevated polychlorinated biphenyl (PCB) concentrations comparable with those of other areas impacted by the discharge of PCBs. The summer air PCB congener- specific pattern in proximity to three Superfund sites along the St. Lawrence River suggests that the volatilization of Aroclor 1248, used extensively at all three downwind sites, is the dominant source. A dechlorinated source, presumably from river sediment and waters, is a minor contributor (~12%) to the pattern. These two sources can account for ~80% of the observed pattern. At a small cove adjacent to an industrial landfill, summer concentrations exceeded those measured in the winter by a factor of 27. At all sample sites during the summer months (June-August), concentrations and chlorine to biphenyl ratios increased, and similar congener-specific PCB patterns were observed. During the colder months, PCB concentrations at all sites decreased but were elevated with respect to those measured elsewhere in the Great Lakes region during the same time period.

Oil Spill Simulation in Rivers

1991 ◽  
Vol 1991 (1) ◽  
pp. 593-600
Author(s):  
Poojitha D. Yapa ◽  
Hung Tao Shen ◽  
Steven F. Daly ◽  
Stephen C. Hung
Keyword(s):  
Great Lakes ◽  
Oil Spill ◽  
Vertical Mixing ◽  
River System ◽  
Open Water ◽  
Ohio River ◽  
Oil Slick ◽  
Oil Spill Response ◽  
Dimensional Surface ◽  
St Lawrence River

ABSTRACT Computer models recently have been developed for simulating oil slick transport in rivers, including the connecting channels of the Great Lakes, the upper St. Lawrence River, and the Allegheny-Monongahela-Ohio River system. In these models, a Lagrangian discrete-parcel algorithm is used to determine the location and concentration distribution of the oil in the river as well as the deposition of oil on the shore. The model for the Great Lakes connecting channels (ROSS) is a two-dimensional surface slick model which considers advection, spreading, horizontal diffusion, evaporation, dissolution, and shoreline deposition. The model is applicable to both open water and ice covered conditions. Models for the St. Lawrence River and the Ohio River System are developed based on a two-layer scheme (ROSS2) which considers vertical mixing and emulsiflcation processes in addition to the processes considered in the surface slick model. All of these models are implemented on microcomputers and can be used as integral parts of oil spill response programs to assist cleanup actions.

Sign in / Sign up

Export Citation Format

Share Document