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Geovisualization of Mercury Contamination in Lake St. Clair Sediments

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TLDR
In this paper, the authors focus on the geovisualization of total mercury pollution from sediment samples that were collected in 1970, 1974 and 2001, and assess contamination patterns, dot maps were created and compared with surfaces that were generated using the kriging spatial interpolation technique.
Abstract
The Laurentian Great Lakes of North America contain approximately 20% of the earth’s fresh water. Smaller lakes, rivers and channels connect the lakes to the St. Lawrence Seaway, creating an interconnected freshwater and marine ecosystem. The largest delta system in the Great Lakes is located in the northeastern portion of Lake St. Clair. This article focuses on the geovisualization of total mercury pollution from sediment samples that were collected in 1970, 1974 and 2001. To assess contamination patterns, dot maps were created and compared with surfaces that were generated using the kriging spatial interpolation technique. Bathymetry data were utilized in geovisualization procedures to develop three-dimensional representations of the contaminant surfaces. Lake St. Clair generally has higher levels of contamination in deeper parts of the lake, in the dredged shipping route through the lake and in proximity to the main outflow channels through the St. Clair delta. Mercury pollution levels were well above the Probable Effect Level in large portions of the lake in both 1970 and 1974. Lower contaminant concentrations were observed in the 2001 data. Lake-wide spatial distributions are discernable using the kriging technique; however, they are much more apparent when they are geovisualized using bathymetry data.

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Combining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals

TL;DR: In this paper, a hybrid approach was proposed to simulate the spatial distribution of a number of heavy metals in the surface layer of the soil using an artificial neural network (ANN) and the subsequent modelling of the residuals by geostatistical methods.
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Mercury Temporal Trends in Top Predator Fish of the Laurentian Great Lakes from 2004 to 2015: Are Concentrations Still Decreasing?

TL;DR: The Kendall-Theil robust regression with a cluster-based age normalization method to control for the effect of changes in lake trophic status was used by as discussed by the authors to determine the mercury (Hg) concentration trends in top predator fish (lake trout and walleye) of the Great Lakes (GL) from 2004 to 2015.
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Investigating urban heat island through spatial analysis of New York City streetscapes

TL;DR: In this paper, the authors assess the spatial pattern of mean ambient night temperature across 34 streetscapes in New York City (NYC), create and differentiate global and local regression models between-natural and built streetscape characteristics- and use geographically weighted regression (GWR) to assess local patterns of correlated associations.
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High variation topsoil pollution forecasting in the Russian Subarctic: Using artificial neural networks combined with residual kriging

TL;DR: The proposed hybrid approach improves the high variation topsoil spatial pollution forecasting, which might be utilized in the environmental modeling.
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Corporate behaviour and ecological disaster: Dow Chemical and the Great Lakes mercury crisis, 1970–1972

TL;DR: The discovery of dangerously high levels of mercury in the Great Lakes from industrial wastewater discharge severely shook the United States and Canada in 1970, and emergency actions covered industrial shutdowns, fishing bans and accelerated monitoring programmes as discussed by the authors.
References
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Journal ArticleDOI

The Great Lakes

S. E. Hollingworth
- 01 Aug 1959 - 
TL;DR: GeGeology of the Great Lakes By Prof. Jack L. Hough as mentioned in this paper. Pp. xviii + 313. 8.50 dollars. (Urbana, Illinois): University of Illinois
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A three-step model to assess shoreline and offshore susceptibility to oil spills: the South Aegean (Crete) as an analogue for confined marine basins.

TL;DR: The results in this paper show that zones of high to very-high susceptibility around the island of Crete are related to: offshore bathymetric features, including the presence of offshore scarps and seamounts; shoreline geology, and the presence near the shore of sedimentary basins filled with unconsolidated deposits of high permeability.
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Spatial and Temporal Trends in Sediment Contamination in Lake Ontario

TL;DR: A Lake Ontario sediment survey was conducted in 1998 to characterize spatial and temporal trends in contamination, and for comparison with data from previous surveys in order to assess any changes in environmental quality since the advent of measures to reduce contaminant sources as mentioned in this paper.
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Trends in spatial and temporal levels of persistent organic pollutants in Lake Erie sediments.

TL;DR: Levels of organic contaminants in sediments in some areas of Lake Erie still exceeded the strictest Canadian Federal and Ontario Provincial guidelines in 1997, however, exceedances of guidelines describing contaminated environments in 1997 were predominantly restricted to the western basin and near-shore sites in the southern part of the central basin.
Journal ArticleDOI

Spatial Distributions of Legacy Contaminants in Sediments of Lakes Huron and Superior

TL;DR: The sediments of Lake Superior, Lake Huron, and Georgian Bay were sampled in 2001 and 2002 in order to evaluate the extent of surficial sediment contamination of polychlorinated biphenyls (PCBs), organochlorine pesticides (OCs), polycyclic aromatic hydrocarbons (PAHs), and metals as discussed by the authors.
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