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This Benthic Invertebrate Community Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the benthic invertebrates sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), the invertebrate samples were taken from sediments remaining from the sediment analysis. Identification of the invertebrates was completed by the same invertebrate taxonomist for both the 1998-2000 evaluation and 1986-87 historical evaluation (Smith et al. 1994) for increased consistency. Oligochaetes were identified to species if possible, chironomids were identified to genus, as adult specimens are needed for specific identification, and other taxa...
Fish tissue from 203 samples collected at five locations in the Niagara River Area of Concern in 2018 were analyzed for a wide range of analytes including Polychlorinated Biphenyls (PCBs), pesticides (E1 and E2), polycyclic aromatic hydrocarbons (PAH), organochlorine and other persistent organic compounds, metals, lipid and moisture. Over 230 analytes were analyzed in the tissue samples, including 160 PCB congeners. Fish tissues from a subset of the sites (n=40) were also analyzed for Dioxins and Furans. The data set includes a variety of laboratory quality assurance data including sample replicates, laboratory blank data, laboratory spike data, matrix spike recoveries, and replicate matrix spike recoveries.
Categories: Data;
Tags: Aquatic Biology,
Aquatic Community Health,
Contaminants, Organic,
Contamination and pollution,
Dioxins,
Biomass based oxygenated fuels have been identified as possible replacement of fossil fuel due to pollutant emission reduction and decrease in over-reliance on fossil fuel energy. In this study, 4 v% water-containing ethanol was mixed with (65–90%) diesel using (5–30%) biodiesel (BD) and 1 v% butanol as stabilizer and co-solvent respectively. The fuels were tested against those of biodiesel–diesel fuel blends to investigate the effect of addition of water-containing ethanol for their energy efficiencies and pollutant emissions in a diesel-fueled engine generator. Experimental results indicated that the fuel blend mix containing 4 v% of water-containing ethanol, 1 v% butanol and 5–30 v% of biodiesel yielded stable...
Biomass based oxygenated fuels have been identified as possible replacement of fossil fuel due to pollutant emission reduction and decrease in over-reliance on fossil fuel energy. In this study, 4 v% water-containing ethanol was mixed with (65–90%) diesel using (5–30%) biodiesel (BD) and 1 v% butanol as stabilizer and co-solvent respectively. The fuels were tested against those of biodiesel–diesel fuel blends to investigate the effect of addition of water-containing ethanol for their energy efficiencies and pollutant emissions in a diesel-fueled engine generator. Experimental results indicated that the fuel blend mix containing 4 v% of water-containing ethanol, 1 v% butanol and 5–30 v% of biodiesel yielded stable...
This data release includes organic and metals data for biologic samples collected from two studies conducted in the Niagara River Area of Concern (AOC) and the Buffalo River AOC during 2020. The first, Niagara River Forage Fish study assessed contaminant data from 26 fish-tissue samples collected at four locations in or near the Niagara River AOC during 2020, and from two reference material samples. More than 160 Polychlorinated Biphenyls (PCBs) congeners were analyzed in 21 fish-tissue samples and in one reference material sample. Dioxins and Furans were analyzed in 5 fish-tissue samples and in a second reference material sample. Polycyclic aromatic hydrocarbons (PAH), organochlorine and other persistent organic...
This Sediment Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the sediments sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), sediment collections were a composite of at least five randomly selected samples collected from each site. Per an internal summary report, sediment samples were collected using a stainless steel Eckman dredge. Analytical methods and QA/QC were directed by the Patuxent Analytical Control Facility (PACF) of the US Fish and Wildlife Service. Per Dora Passino-Reader, the Geochemical & Environmental Research Group at Texas A&M University, College Station performed the analytical chemistry...
Organic and metal contaminants in fish tissue collected from the Buffalo River Area of Concern, 2017
Fish tissue from 159 samples collected at four locations in the Buffalo River Area of Concern in 2017 were analyzed for a wide range of analytes including Polychlorinated Biphenyls (PCBs), pesticides, polycyclic aromatic hydrocarbons, organochlorine and other persistent organic compounds, metals, lipid and moisture. Over 230 analytes were analyzed in the tissue samples, including 160 PCB congeners. The data set includes a variety of laboratory quality assurance data including sample replicates, laboratory blank data, laboratory spike data, matrix spike recoveries, and replicate matrix spike recoveries.
Categories: Data;
Tags: Aquatic Biology,
Aquatic Community Health,
Contaminants, Organic,
Contamination and pollution,
Ecosystem Health,
The Lake Erie Ecological Investigations (LEEI) dataset, housed at the Great Lakes Science Center (GLSC) was developed during a reevaluation of Lake Erie Areas of Concern (AOCs) from 1998-2000. These AOCs were recognized as such by the International Joint Commission (IJC) of the United States and Canada due to their severe water pollution problems. The dataset includes data from both the 1998-2000 reevaluation as well as data from other historical evaluations from the 1980’s to mid-1990’s for comparison where available. Data Description: Rivers and harbors of the Great Lakes have been impacted for decades by heavy industrialization, densely populated areas, and agriculture resulting in contamination, eutrophication,...
This Fish Community Analysis dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the fish communities sampled at Areas of Concern (AOCs) on Lake Erie. Per the Quality Assurance Project Plan (QAPP), fish were sampled for identification and measurement of length and weight. Identification of fish were done by the same biologists for both the 1998-2000 data and the 1986-87 historical data (Smith et al. 1994). Any fish difficult to identify were preserved in buffered formalin for later identification. If large numbers of a particular species were collected the first thirty fish were measured and weighed; remaining fish were individually measured and group weighed. All...
The dataset includes results from the analysis of sediments and solids collected from receptor sites receiving runoff from adjacent parking lots and other paved surfaces. Receptor sites include parking lot catch basins, retention ponds, drainage ditches, and storm-water discharge zones in streams and rivers. Samples were analyzed for percent moisture content and concentrations of 17 U.S. Environmental Protection Agency Priority Pollutant Polycyclic Aromatic Hydrocarbons (PAHs). Samples collected from parking lot sweepings (dust) also were analyzed for the same suite of 17 PAH compounds.
Categories: Data;
Tags: Catch basin,
City of Augusta, Maine,
City of Hallowell, Maine,
Coal-tar,
Environmental Health,
The Grand Calumet River (GCR), located in northern Indiana, is contaminated due to a wide range of historical industrial activities. Short-term and long-term sediment exposure bioassays with the amphipod Hyalella azteca, the midge Chironomus dilutus, and the mussel Lampsilis siliquoidea were conducted with samples collected in 2013, 2015, and 2017, from up to 26 sites, including both remediated, non-remediated and relatively uncontaminated reference sites. The responses (survival, growth, reproduction and/or emergence) of test organisms to the exposure bioassays are presented here.
Contaminant exposure of tree swallows, Tachycineta bicolor, nesting in the Great Lakes basin was assessed in 2010 to 2014. Tree swallow nestlings were collected from 69 sites which included multiple sites at some of the 27 Areas of Concern (AOCs) and at nine non-AOC sites. Polycyclic aromatic hydrocarbon (PAHs), polychlorinated biphenyl (PCBs), and polybrominated diphenyl ether (PBDEs) concentrations were measured in nestling stomach contents. Concentrations of PCBs and PBDEs were measured in nestling carcasses. Perfluorinated compounds (PFCs) were measured in nestling plasma. Pooled dietary concentrations of total PAHs were highest at the Rouge River, MI AOC (1,856 ng/g wet weight) and lowest at White Lake, MI...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Areas of Concern,
GLRI,
Great Lakes,
Great Lakes Restoration Initiative,
Lake:Lake Erie,
Biomass based oxygenated fuels have been identified as possible replacement of fossil fuel due to pollutant emission reduction and decrease in over-reliance on fossil fuel energy. In this study, 4 v% water-containing ethanol was mixed with (65–90%) diesel using (5–30%) biodiesel (BD) and 1 v% butanol as stabilizer and co-solvent respectively. The fuels were tested against those of biodiesel–diesel fuel blends to investigate the effect of addition of water-containing ethanol for their energy efficiencies and pollutant emissions in a diesel-fueled engine generator. Experimental results indicated that the fuel blend mix containing 4 v% of water-containing ethanol, 1 v% butanol and 5–30 v% of biodiesel yielded stable...
The Lake Erie Ecological Investigations (LEEI) dataset contains data collected on contaminants in sediments, benthic invertebrate populations, fish populations and abnormalities, and fish health of primarily brown bullhead in Areas of Concerns (AOCs) on Lake Erie. A subset of the larger dataset, this section specifically handles reference tables, used in database design in order to standardize often used values and to make the data file efficient, for the main tables of the LEEI dataset. The reference tables include: site.csv, site_date.csv, and species.csv.
This Fish Health Evaluation dataset, a conceptual subgroup of the Lake Erie Ecological Investigations (LEEI) dataset, focuses on the health of fish—primarily brown bullhead—sampled at Areas of Concern (AOCs) on Lake Erie, as measured by anomalies, tumors, biomarkers, and other heath indicators. The focus of the data in the Fish Health dataset is from the 1998-2000 study, which reevaluated fish health in comparison to data from various historical studies also in the dataset. All of the data from the 1998-2000 evaluation and the data used for comparison from historical studies are in the main FISH_HEALTH table; additional historical data, which presumably fell out of scope for comparison, is also in the OLDFISHDATA_NOTERIE...
With increasing concern over degradation of aquatic resources, issues of liability, and maintenance costs, removal of small dams has become increasing popular. Although the benefits of removal seem to outweigh the drawbacks, there is a relative paucity of studies documenting the extent and magnitude of biological and chemical changes associated with dam removal, especially those evaluating potential changes in contaminant inventories. In August and November of 2000, a run-of-the-river dam on Manatawny Creek (southeast Pennsylvania) was removed in a two-stage process. To assess the effects of dam removal on the contaminant redistribution within the creek, sedimentary concentrations of polychlorinated biphenyls (PCBs),...
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