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High radium (Ra) concentrations in potable portions of the Cambrian-Ordovician (C-O) aquifer system were investigated using water-quality data and environmental tracers ( 3H, 3Hetrit, SF6 , 14C and 4Herad) of groundwater age from 80 public-supply wells (PSWs). Groundwater ages were estimated by calibration of tracers to lumped parameter models and ranged from modern (1 Myr) in the most downgradient, confined portions of the potable system. More than 80 and 40 percent of mean groundwater ages were older than 1000 and 50,000 yr, respectively. Anoxic, Fe-reducing conditions and increased mineralization develop with time in the aquifer system and mobilize Ra into solution resulting in the frequent occurrence of combined...
Airborne electromagnetic (AEM), magnetic, and radiometric data were acquired November 2018 to February 2019 along 16,816 line-kilometers (line-km) over the Mississippi Alluvial Plain (MAP). Data were acquired by CGG Canada Services, Ltd. with three different helicopter-borne sensors: the CGG Canada Services, Ltd. Resolve frequency-domain AEM instrument that is used to map subsurface geologic structure at depths up to 100 meters, depending on the subsurface resistivity; a Scintrex CS-3 cesium vapor magnetometer that detects changes in deep (hundreds of meters to kilometers) geologic structure based on variations in the magnetic properties of different formations; and a Radiation Solutions RS-500 spectrometer that...
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River collected in 1975.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 1994.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River collected in 1975.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 2000.
Categories: Data;
Types: Citation;
Tags: Illinois,
Illinois River,
Iowa,
Minnesota,
Mississippi River,
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 2000.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 1989.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 1989.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 2000.
Categories: Data;
Types: Citation;
Tags: Illinois,
Illinois River,
Iowa,
Minnesota,
Mississippi River,
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 2000.
Categories: Data;
Types: Citation;
Tags: Illinois,
Illinois River,
Iowa,
Minnesota,
Mississippi River,
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 1994.
Categories: Data;
Types: Citation;
Tags: Illinois,
Illinois River,
Iowa,
Minnesota,
Mississippi River,
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 1989.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 2000.
These data were collected to estimate detection probability of Bombus affinis at known occupied sites in Wisconsin, Minnesota, Illinois, and Iowa in 2021. Data were also used to determine the effect of weather, observer experience, and habitat quality on Bombus affinis detection probability.
The U.S. Geological Survey is developing national water-use models to support water resources management in the United States. Model benefits include a nationally consistent estimation approach, greater temporal and spatial resolution of estimates, efficient and automated updates of results, and capabilities to forecast water use into the future and assess model uncertainty. This data release contains data used in a machine learning model to estimate monthly water use for communities that are supplied by public-supply water systems in the conterminous United States for 2000-2020. This data release also contains associated scripts used to produce input features as well as model output values by 12-digit hydrologic...
This dataset contains the trace element concentration results for samples collected from tapwater sites in East Chicago, Indiana, August-September, 2017, and Chicago, Illinois, July-December, 2017. Samples were collected one time, from 45 private residences and associated drinking water plants and source water locations. Water-quality samples were analyzed at two U.S. Geological Survey laboratories: National Water Quality Laboratory, Denver, Colorado and at the Redox Chemistry Laboratory, Boulder, Colorado.
These data were collected as part of the Great Lakes Restoration Initiative (GLRI) project template 678-1 entitled “Evaluate immediate and long-term BMP effectiveness of GLRI restoration efforts at urban beaches on Southern and Western Lake Michigan”. This project is evaluating the effectiveness of projects that are closely associated with restoration of local habitat and contact recreational activities at two GLRI funded sites in Southern Lake Michigan and one non-GLRI site in Western Lake Michigan. Evaluation of GLRI projects will assess whether goals of recipients are on track and identify any developing unforeseen consequences. Including a third, non-GLRI project site in the evaluation allows comparison between...
High radium (Ra) concentrations in potable portions of the Cambrian-Ordovician (C-O) aquifer system were investigated using water-quality data and environmental tracers ( 3H, 3Hetrit, SF6 , 14C and 4Herad) of groundwater age from 80 public-supply wells (PSWs). Groundwater ages were estimated by calibration of tracers to lumped parameter models and ranged from modern (1 Myr) in the most downgradient, confined portions of the potable system. More than 80 and 40 percent of mean groundwater ages were older than 1000 and 50,000 yr, respectively. Anoxic, Fe-reducing conditions and increased mineralization develop with time in the aquifer system and mobilize Ra into solution resulting in the frequent occurrence of combined...
Groundwater age is an important indicator of groundwater susceptibility to anthropogenic contamination and a key input to statistical models for forecasting water quality. Numerical models can provide estimates of groundwater age, enabling interpretation of measured age tracers. However, to extend to national-scale groundwater systems where numerical models are not routinely available, a more efficient metamodeling approach can provide a less precise but widely applicable estimate of groundwater age, trained to make forecasts based on predictor variables that can be measured independent of numerical models. We trained gradient-boosted regression tree statistical metamodels to MODFLOW/MODPATH derived groundwater...
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