James "Jim" A Kingsbury
Staff
Science and Products
Filter Total Items: 14
Simulated groundwater residence times in two principal aquifers of the Mississippi embayment physiographic region Simulated groundwater residence times in two principal aquifers of the Mississippi embayment physiographic region
Groundwater residence times and flow path lengths were simulated for two major aquifers of the Mississippi embayment region using particle tracking (Pollock, 2012; Starn and Belitz, 2018) in a regional groundwater-flow model (Haugh and others, 2020). The Mississippi embayment physiographic region includes two principal aquifer systems: the surficial aquifer system, which is dominated by...
Prediction grids of pH for the Mississippi River Valley Alluvial and Claiborne Aquifers Prediction grids of pH for the Mississippi River Valley Alluvial and Claiborne Aquifers
Groundwater is a vital resource to the Mississippi embayment region of the central United States. Regional and integrated assessments of water availability that link physical flow models and water quality in principal aquifer systems provide context for the long-term availability of these water resources. An innovative approach using machine learning was employed to predict groundwater...
Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity - including specific conductance (SC), total dissolved solids (TDS), and chloride (Cl) concentrations - across three drinking-water aquifers of the Mississippi embayment. A ML approach was used because...
Datasets from Groundwater-Quality and Select Quality-Control Data from the National Water-Quality Assessment Project, January through December 2016, and Previously Unpublished Data from 2013 to 2015 Datasets from Groundwater-Quality and Select Quality-Control Data from the National Water-Quality Assessment Project, January through December 2016, and Previously Unpublished Data from 2013 to 2015
Groundwater-quality data were collected from 648 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water-Quality Program and are included in this report. Most of the wells (514) were sampled from January through December 2016 and 60 of them were sampled in 2013 and 74 in 2014. The data were collected from seven types of well networks...
Water-level models used to estimate drawdown in 32 monitoring wells screened in the Mississippi River Valley Alluvial aquifer and 4 observation wells screened in the Memphis aquifer during an aquifer test at the Tennessee Valley Authority Allen power plan Water-level models used to estimate drawdown in 32 monitoring wells screened in the Mississippi River Valley Alluvial aquifer and 4 observation wells screened in the Memphis aquifer during an aquifer test at the Tennessee Valley Authority Allen power plan
This data release presents tabular data and water-level drawdown model files for 32 Mississippi River Valley Alluvial aquifer monitoring wells and 4 Memphis aquifer observation wells from an aquifer test conducted in October 2017 at the Tennessee Valley Authority Allen power plants in Memphis, Shelby County, Tennessee. The dataset contains the water-level model files used to estimate...
Datasets from Groundwater-Quality Data from the National Water-Quality Assessment Project, January through December 2014 and Select Quality-Control Data from May 2012 through December 2014 Datasets from Groundwater-Quality Data from the National Water-Quality Assessment Project, January through December 2014 and Select Quality-Control Data from May 2012 through December 2014
Groundwater-quality data were collected from 559 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water-Quality Program from January through December 2014. The data were collected from four types of well networks: principal aquifer study networks, which assess the quality of groundwater used for public water supply; land-use study...
Filter Total Items: 41
Groundwater quality in the Surficial Aquifer System, Southeastern United States: Groundwater quality in the Surficial Aquifer System, Southeastern United States:
Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water (Burow and Belitz, 2014). The surficial aquifer system constitutes one of the important aquifer systems being...
Authors
James A. Kingsbury
Mapped predictions of manganese and arsenic in an alluvial aquifer using boosted regression trees Mapped predictions of manganese and arsenic in an alluvial aquifer using boosted regression trees
Manganese (Mn) concentrations and the probability of arsenic (As) exceeding the drinking-water standard of 10 μg/L were predicted in the Mississippi River Valley alluvial aquifer (MRVA) using boosted regression trees (BRT). BRT, a type of ensemble-tree machine-learning model, were created using predictor variables that affect Mn and As distribution in groundwater. These variables...
Authors
Katherine J. Knierim, James A. Kingsbury, Kenneth Belitz, Paul E. Stackelberg, Burke J. Minsley, James R. Rigby
Groundwater quality in selected Stream Valley aquifers, western United States Groundwater quality in selected Stream Valley aquifers, western United States
Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water. The Stream Valley aquifers constitute one of the important aquifer systems being evaluated.
Authors
James A. Kingsbury
Groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January 2017 through December 2019 Groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January 2017 through December 2019
Groundwater-quality environmental data were collected from 983 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water Quality Program and are included in this report. The data were collected from six types of well networks: principal aquifer study networks, which are used to assess the quality of groundwater used for public water...
Authors
James A. Kingsbury, Laura M. Bexfield, Terri Arnold, MaryLynn Musgrove, Melinda L. Erickson, James R. Degnan, Anthony J. Tesoriero, Bruce D. Lindsey, Kenneth Belitz
Using boosted regression tree models to predict salinity in Mississippi embayment aquifers, central United States Using boosted regression tree models to predict salinity in Mississippi embayment aquifers, central United States
High salinity limits groundwater use in parts of the Mississippi embayment. Machine learning was used to create spatially continuous and three‐dimensional predictions of salinity across drinking‐water aquifers in the embayment. Boosted regression tree (BRT) models, a type of machine learning, were used to predict specific conductance (SC) and chloride (Cl), and total dissolved solids...
Authors
Katherine J. Knierim, James A. Kingsbury, Connor J. Haugh, Katherine Marie Ransom
Groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January through December 2016, and previously unpublished data from 2013 to 2015 Groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January through December 2016, and previously unpublished data from 2013 to 2015
Environmental groundwater-quality data were collected from 648 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water-Quality Program and are included in this report. Most of the wells (514) were sampled from January through December 2016, and 60 of them were sampled in 2013 and 74 in 2014. The data were collected from seven types of...
Authors
Terri Arnold, Laura M. Bexfield, MaryLynn Musgrove, Melinda L. Erickson, James A. Kingsbury, James R. Degnan, Anthony J. Tesoriero, Justin T. Kulongoski, Kenneth Belitz
Science and Products
Filter Total Items: 14
Simulated groundwater residence times in two principal aquifers of the Mississippi embayment physiographic region Simulated groundwater residence times in two principal aquifers of the Mississippi embayment physiographic region
Groundwater residence times and flow path lengths were simulated for two major aquifers of the Mississippi embayment region using particle tracking (Pollock, 2012; Starn and Belitz, 2018) in a regional groundwater-flow model (Haugh and others, 2020). The Mississippi embayment physiographic region includes two principal aquifer systems: the surficial aquifer system, which is dominated by...
Prediction grids of pH for the Mississippi River Valley Alluvial and Claiborne Aquifers Prediction grids of pH for the Mississippi River Valley Alluvial and Claiborne Aquifers
Groundwater is a vital resource to the Mississippi embayment region of the central United States. Regional and integrated assessments of water availability that link physical flow models and water quality in principal aquifer systems provide context for the long-term availability of these water resources. An innovative approach using machine learning was employed to predict groundwater...
Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity - including specific conductance (SC), total dissolved solids (TDS), and chloride (Cl) concentrations - across three drinking-water aquifers of the Mississippi embayment. A ML approach was used because...
Datasets from Groundwater-Quality and Select Quality-Control Data from the National Water-Quality Assessment Project, January through December 2016, and Previously Unpublished Data from 2013 to 2015 Datasets from Groundwater-Quality and Select Quality-Control Data from the National Water-Quality Assessment Project, January through December 2016, and Previously Unpublished Data from 2013 to 2015
Groundwater-quality data were collected from 648 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water-Quality Program and are included in this report. Most of the wells (514) were sampled from January through December 2016 and 60 of them were sampled in 2013 and 74 in 2014. The data were collected from seven types of well networks...
Water-level models used to estimate drawdown in 32 monitoring wells screened in the Mississippi River Valley Alluvial aquifer and 4 observation wells screened in the Memphis aquifer during an aquifer test at the Tennessee Valley Authority Allen power plan Water-level models used to estimate drawdown in 32 monitoring wells screened in the Mississippi River Valley Alluvial aquifer and 4 observation wells screened in the Memphis aquifer during an aquifer test at the Tennessee Valley Authority Allen power plan
This data release presents tabular data and water-level drawdown model files for 32 Mississippi River Valley Alluvial aquifer monitoring wells and 4 Memphis aquifer observation wells from an aquifer test conducted in October 2017 at the Tennessee Valley Authority Allen power plants in Memphis, Shelby County, Tennessee. The dataset contains the water-level model files used to estimate...
Datasets from Groundwater-Quality Data from the National Water-Quality Assessment Project, January through December 2014 and Select Quality-Control Data from May 2012 through December 2014 Datasets from Groundwater-Quality Data from the National Water-Quality Assessment Project, January through December 2014 and Select Quality-Control Data from May 2012 through December 2014
Groundwater-quality data were collected from 559 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water-Quality Program from January through December 2014. The data were collected from four types of well networks: principal aquifer study networks, which assess the quality of groundwater used for public water supply; land-use study...
Filter Total Items: 41
Groundwater quality in the Surficial Aquifer System, Southeastern United States: Groundwater quality in the Surficial Aquifer System, Southeastern United States:
Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water (Burow and Belitz, 2014). The surficial aquifer system constitutes one of the important aquifer systems being...
Authors
James A. Kingsbury
Mapped predictions of manganese and arsenic in an alluvial aquifer using boosted regression trees Mapped predictions of manganese and arsenic in an alluvial aquifer using boosted regression trees
Manganese (Mn) concentrations and the probability of arsenic (As) exceeding the drinking-water standard of 10 μg/L were predicted in the Mississippi River Valley alluvial aquifer (MRVA) using boosted regression trees (BRT). BRT, a type of ensemble-tree machine-learning model, were created using predictor variables that affect Mn and As distribution in groundwater. These variables...
Authors
Katherine J. Knierim, James A. Kingsbury, Kenneth Belitz, Paul E. Stackelberg, Burke J. Minsley, James R. Rigby
Groundwater quality in selected Stream Valley aquifers, western United States Groundwater quality in selected Stream Valley aquifers, western United States
Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water. The Stream Valley aquifers constitute one of the important aquifer systems being evaluated.
Authors
James A. Kingsbury
Groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January 2017 through December 2019 Groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January 2017 through December 2019
Groundwater-quality environmental data were collected from 983 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water Quality Program and are included in this report. The data were collected from six types of well networks: principal aquifer study networks, which are used to assess the quality of groundwater used for public water...
Authors
James A. Kingsbury, Laura M. Bexfield, Terri Arnold, MaryLynn Musgrove, Melinda L. Erickson, James R. Degnan, Anthony J. Tesoriero, Bruce D. Lindsey, Kenneth Belitz
Using boosted regression tree models to predict salinity in Mississippi embayment aquifers, central United States Using boosted regression tree models to predict salinity in Mississippi embayment aquifers, central United States
High salinity limits groundwater use in parts of the Mississippi embayment. Machine learning was used to create spatially continuous and three‐dimensional predictions of salinity across drinking‐water aquifers in the embayment. Boosted regression tree (BRT) models, a type of machine learning, were used to predict specific conductance (SC) and chloride (Cl), and total dissolved solids...
Authors
Katherine J. Knierim, James A. Kingsbury, Connor J. Haugh, Katherine Marie Ransom
Groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January through December 2016, and previously unpublished data from 2013 to 2015 Groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January through December 2016, and previously unpublished data from 2013 to 2015
Environmental groundwater-quality data were collected from 648 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water-Quality Program and are included in this report. Most of the wells (514) were sampled from January through December 2016, and 60 of them were sampled in 2013 and 74 in 2014. The data were collected from seven types of...
Authors
Terri Arnold, Laura M. Bexfield, MaryLynn Musgrove, Melinda L. Erickson, James A. Kingsbury, James R. Degnan, Anthony J. Tesoriero, Justin T. Kulongoski, Kenneth Belitz