Corrigendum to “Simulating the effect of nutrient reduction on hypoxia in a large lake (Lake Erie, USA-Canada) with a three-dimensional lake model” [J. Great Lakes Res. 42 (2016) 1228-1240]

A wealth of resources for economic prosperity have driven development along the shorelines of the Great Lakes for over 150 years. The rapid growth of industrial, agricultural, and residential land use has degraded many natural components of lake ecosystems, including sediments and water quality. In this dissertation, spatiotemporal patterns of non-essential heavy metal sediment contamination in Lake Erie will be examined from historic and contemporary sediment surveys. Three inter-related studies explore innovative methods for improving the validity and overall usefulness of sediment contamination maps that could be used by a variety of stakeholders in pollution control efforts throughout the Lake Erie basin. First, sediment survey designs are analyzed for their utility in creating valid interpolated surfaces from which spatiotemporal comparisons of mercury sediment contamination can be compared over time. The next study explores how ancillary sediment variables and contamination categorization methods can support interpolated maps of cadmium sediment contamination from low-density sediment surveys. The final study introduces a novel method of three-dimensional geovisualization to enhance the geographic representation of lead sediment contamination patterns throughout the Lake Erie basin. Innovative research methodologies designed for this dissertation may be applied to sediment contamination studies in other Great Lakes. The visualization techniques employed in mapping sediment contamination patterns provide strong scientific evidence for spatiotemporal change in non-essential heavy metal pollution throughout Lake Erie. Combined, the research findings and maps produced throughout this dissertation can contribute to the growing body of knowledge used in environmental decision making for pollution control in the Great Lakes basin

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Incorporating terrain specific beaching within a lagrangian transport plastics model for Lake Erie

Microplastics and Nanoplastics ◽

10.1186/s43591-021-00019-7 ◽

2021 ◽

Vol 1 (1) ◽

Author(s):

Juliette Daily ◽

Victor Onink ◽

Cleo E. Jongedijk ◽

Charlotte Laufkötter ◽

Matthew J. Hoffman

Keyword(s):

Great Lakes ◽

Hydrodynamic Model ◽

Turbulent Mixing ◽

Lake Erie ◽

Three Dimensional ◽

Absolute Amount ◽

Plastic Pollution ◽

Surface Samples ◽

Mixing Density ◽

Bodies Of Water

AbstractMass estimates of plastic pollution in the Great Lakes based on surface samples differ by orders of magnitude from what is predicted by production and input rates. It has been theorized that a potential location of this missing plastic is on beaches and in nearshore water. We incorporate a terrain dependent beaching model to an existing hydrodynamic model for Lake Erie which includes three dimensional advection, turbulent mixing, density driven sinking, and deposition into the sediment. When examining parameter choices, in all simulations the majority of plastic in the lake is beached, potentially identifying a reservoir holding a large percentage of the lake’s plastic which in previous studies has not been taken into account. The absolute amount of beached plastic is dependent on the parameter choices. We also find beached plastic does not accumulate homogeneously through the lake, with eastern regions of the lake, especially those downstream of population centers, most likely to be impacted. This effort constitutes a step towards identifying sinks of missing plastic in large bodies of water.

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Visualizing The Big Three: Geospatial Interpolation Of Heavy Metal Sediment Contamination In Lake Erie

10.32920/ryerson.14644053.v1 ◽

2021 ◽

Author(s):

Danielle E. Mitchell

Keyword(s):

Heavy Metal ◽

Great Lakes ◽

Pollution Control ◽

Lake Erie ◽

Scientific Evidence ◽

Three Dimensional ◽

Sediment Contamination ◽

Great Lakes Basin ◽

Lake Ecosystems ◽

Essential Heavy Metal

A wealth of resources for economic prosperity have driven development along the shorelines of the Great Lakes for over 150 years. The rapid growth of industrial, agricultural, and residential land use has degraded many natural components of lake ecosystems, including sediments and water quality. In this dissertation, spatiotemporal patterns of non-essential heavy metal sediment contamination in Lake Erie will be examined from historic and contemporary sediment surveys. Three inter-related studies explore innovative methods for improving the validity and overall usefulness of sediment contamination maps that could be used by a variety of stakeholders in pollution control efforts throughout the Lake Erie basin. First, sediment survey designs are analyzed for their utility in creating valid interpolated surfaces from which spatiotemporal comparisons of mercury sediment contamination can be compared over time. The next study explores how ancillary sediment variables and contamination categorization methods can support interpolated maps of cadmium sediment contamination from low-density sediment surveys. The final study introduces a novel method of three-dimensional geovisualization to enhance the geographic representation of lead sediment contamination patterns throughout the Lake Erie basin. Innovative research methodologies designed for this dissertation may be applied to sediment contamination studies in other Great Lakes. The visualization techniques employed in mapping sediment contamination patterns provide strong scientific evidence for spatiotemporal change in non-essential heavy metal pollution throughout Lake Erie. Combined, the research findings and maps produced throughout this dissertation can contribute to the growing body of knowledge used in environmental decision making for pollution control in the Great Lakes basin

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Generation of Three-Dimensional Lake Model Forecasts for Lake Erie*

Weather and Forecasting ◽

10.1175/1520-0434(1998)013<0659:gotdlm>2.0.co;2 ◽

1998 ◽

Vol 13 (3) ◽

pp. 659-687 ◽

Cited By ~ 18

Author(s):

John G. W. Kelley ◽

Jay S. Hobgood ◽

Keith W. Bedford ◽

David J. Schwab

Keyword(s):

Lake Erie ◽

Three Dimensional ◽

Lake Model

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

Water Quality Research Journal ◽

10.2166/wqrj.1996.023 ◽

1996 ◽

Vol 31 (2) ◽

pp. 411-432 ◽

Cited By ~ 11

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.

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A matrix population model to aid agency response to grass carp (Ctenopharyngodon idella) in the Great Lakes Basin - Lake Erie

Journal of Great Lakes Research ◽

10.1016/j.jglr.2020.06.022 ◽

2020 ◽

Author(s):

Mark R. DuFour ◽

Kelly F. Robinson ◽

Michael L. Jones ◽

Seth J. Herbst

Keyword(s):

Great Lakes ◽

Grass Carp ◽

Population Model ◽

Lake Erie ◽

Ctenopharyngodon Idella ◽

Matrix Population Model ◽

Great Lakes Basin ◽

Grass Carp Ctenopharyngodon Idella

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Three-dimensional bluff evolution in response to seasonal fluctuations in Great Lakes water levels

Journal of Great Lakes Research ◽

10.1016/j.jglr.2020.08.017 ◽

2020 ◽

Vol 46 (6) ◽

pp. 1533-1543 ◽

Cited By ~ 1

Author(s):

C.A. Volpano ◽

L.K. Zoet ◽

J.E. Rawling ◽

E.J. Theuerkauf ◽

R. Krueger

Keyword(s):

Great Lakes ◽

Three Dimensional ◽

Water Levels ◽

Seasonal Fluctuations

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On the numerical study of thermohydrodynamics and biochemistry of inland water bodies

10.5194/egusphere-egu21-13335 ◽

2021 ◽

Author(s):

Daria Gladskikh ◽

Evgeny Mortikov ◽

Victor Stepanenko

Keyword(s):

Mixed Layer ◽

Numerical Study ◽

Three Dimensional ◽

Water Bodies ◽

Dimensional Model ◽

Three Dimensional Model ◽

One Dimensional ◽

Lake Model ◽

Upper Mixed Layer ◽

The One

The study of thermodynamic and biochemical processes of inland water objects using one- and three-dimensional RANS numerical models was carried out both for idealized water bodies and using measurements data. The need to take into account seiche oscillations to correctly reproduce the deepening of the upper mixed layer in one-dimensional (vertical) models is demonstrated. We considered the one-dimensional LAKE model [1] and the three-dimensional model [2, 3, 4] developed at the Research Computing Center of Moscow State University on the basis of a hydrodynamic code combining DNS/LES/RANS approaches for calculating geophysical turbulent flows. The three-dimensional model was supplemented by the equations for calculating biochemical substances by analogy with the one-dimensional biochemistry equations used in the LAKE model. The effect of mixing processes on the distribution of concentration of greenhouse gases, in particular, methane and oxygen, was studied.The work was supported by grants of the RF President&#8217;s Grant for Young Scientists (MK-1867.2020.5, MD-1850.2020.5) and by the RFBR (19-05-00249, 20-05-00776).&#160;1. Stepanenko V., Mammarella I., Ojala A., Miettinen H., Lykosov V., Timo V. LAKE 2.0: a model for temperature, methane, carbon dioxide and oxygen dynamics in lakes // Geoscientific Model Development. 2016. V. 9(5). P. 1977&#8211;2006. 2. Mortikov E.V., Glazunov A.V., Lykosov V.N. Numerical study of plane Couette flow: turbulence statistics and the structure of pressure-strain correlations // Russian Journal of Numerical Analysis and Mathematical Modelling. 2019. 34(2). P. 119-132. 3. Mortikov, E.V. Numerical simulation of the motion of an ice keel in stratified flow // Izv. Atmos. Ocean. Phys. 2016. V. 52. P. 108-115. 4. Gladskikh D.S., Stepanenko V.M., Mortikov E.V. On the influence of the horizontal dimensions of inland waters on the thickness of the upper mixed layer // Water Resourses. 2021.V. 45, 9 pages. (in press)&#160;

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