Filters: partyWithName: Water Resources (X) > partyWithName: Courtney D Killian (X)

Folders: ROOT > ScienceBase Catalog > USGS Lower Mississippi-Gulf Water Science Center > @ Mississippi Alluvial Plain (MAP) Regional Water-Availability Study ( Show direct descendants )

Location Folder Show Tree ROOT _ScienceBase Catalog __USGS Lower Mississippi-Gulf Water Science Center ___@ Mississippi Alluvial Plain (MAP) Regional Water-Availability Study Economics, Groundwater Modeling, and Decision Support Groundwater Levels Hydrogeologic Framework Quality Assurance of Water Level Records from Wells in the Mississippi River Valley Alluvial Aquifer in Missouri from the Missouri Department of Natural Resource's Well Information Management System (WIMS) Surface Water Model More... Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (1) OGC WFS Layer (1) OGC WMS Layer (1) OGC WMS Service (1) Contacts Lower Mississippi-Gulf Water Science Center William H Asquith U.S. Geological Survey - ScienceBase U.S. Geological Survey Angela L Robinson More... Categories Data (4) Tag Types Theme (5) Place (5) Harvest Set (3) USGS Scientific Topic Keyword (1) Tag Schemes USGS Thesaurus (1) Marine Realms Information Bank (MRIB) keywords (1) Common geographic areas (1) View Results as: JSON ATOM CSV Browse Folder

Generalized Additive Model This data release provides the data that support the findings in "Characterizing groundwater and surface-water interaction using hydrograph-separation techniques and groundwater-level data throughout the Mississippi Delta" by Killian and others (2019). This child item for the Generalized Additive Model includes GAMobs_0410_error data and metadata with the grid node coordinates in North American Datum of 1983 (NAD 83) and results, including error estimates for the Generalized Additive Model (GAM) used to estimate the difference in groundwater altitudes relative to NAD 83 for April 10th of 1980 and April 10th of 2016. The paper associated with the data release quantifies the spatial and temporal changes in baseflow... Categories: Data; Tags: MAP, Mississippi, Mississippi River Delta, effects of groundwater extraction, groundwater, All tags... groundwater, groundwater and surface-water interaction, groundwater level, groundwater pumping, hydrogeology, mathematical modeling, statistical modeling, Fewer tags Groundwater levels and other covariates useful for statistical modeling for the Mississippi River Valley Alluvial aquifer, Mississippi Alluvial Plain Groundwater-level data, in conjunction with attendant metadata and covariates (predictor variables) data, for the Mississippi River Valley alluvial aquifer (MRVA) are used to support statistical and process-based numerical modeling. This page represents a collection of groundwater-level data within the expanse of the Mississippi Alluvial Plain (MAP) (Painter and Westerman, 2018) and are derived from well-specific periods of record of discrete measurements and continuous water levels aggregated to daily statistics. The basic data structures are intended also to serve as interpretability standards for use by statistical software such as described by Asquith and Seanor (2019) and Asquith and others (2019). Tags: Arkansas, Louisiana, MAP, MAP, Mississippi, All tags... Mississippi Alluvial Plain, Mississippi Alluvial Plain, Mississippi River Valley Alluvial aquifer, Mississippi River Valley Alluvial aquifer, Missouri, Tennessee, USGS Science Data Catalog (SDC), groundwater, groundwater levels, Fewer tags Hydrograph-Separation Data and Baseflow Estimation Results This data release provides the data that support the findings in "Characterizing groundwater and surface-water interaction using hydrograph-separation techniques and groundwater-level data throughout the Mississippi Delta" by Killian and others (2019). This child item includes the baseflow_est data and metadata that contain daily mean streamflow data provided by the U.S. Geological Survey (USGS) and the U.S. Army Corps of Engineers (USACE), as well as estimated daily mean streamflow records for any missing data and the hydrograph-separation and trends analyses results for the five selected sites output by the USGS Groundwater Toolbox (https://water.usgs.gov/ogw/gwtoolbox/). The paper associated with the data release... Categories: Data; Tags: MAP, Mississippi, Mississippi River Delta, effects of groundwater extraction, groundwater, All tags... groundwater, groundwater level, groundwater pumping, hydrogeology, mathematical modeling, statistical modeling, surface-water groundwater interactions, Fewer tags Estimated and measured streamflow and groundwater-level data in the Mississippi Delta This data release provides the data that support the findings in "Characterizing groundwater and surface-water interaction using hydrograph-separation techniques and groundwater-level data throughout the Mississippi Delta" by Killian and others (2019). There are two child items below: (1) Estimated baseflow includes the baseflow_est data and metadata that contain daily mean streamflow data provided by the U.S. Geological Survey (USGS) and the U.S. Army Corps of Engineers (USACE), as well as estimated daily mean streamflow records for any missing data and the hydrograph-separation and trends analyses results for the five selected sites output by the USGS Groundwater Toolbox (https://water.usgs.gov/ogw/gwtoolbox/);... Categories: Data; Tags: Hydrogeology, MAP, Mississippi, Mississippi River Delta, USGS Science Data Catalog (SDC), All tags... Water Resources, effects of groundwater extraction, groundwater, groundwater, groundwater and surface-water interaction, groundwater level, groundwater pumping, hydrogeology, mathematical modeling, statistical modeling, Fewer tags Machine-learning model predictions and rasters of groundwater salinity in the Mississippi Alluvial Plain Groundwater from the Mississippi River Valley alluvial aquifer (MRVA), coincident with the Mississippi Alluvial Plain (MAP), is a vital resource for agriculture and drinking-water supplies in the central United States. Water availability can be limited in some areas of the aquifer by high concentrations of salinity, measured as specific conductance. Boosted regression trees (BRT), a type of ensemble-tree machine-learning method, were used to predict specific conductance concentration at multiple depths throughout the MRVA and underlying aquifers. Two models were created to test the incorporation of datasets from a regional aerial electromagnetic (AEM) survey and evaluate model performance. Explanatory variables... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Arkansas (AR), Illinois (IL), Kentucky (KY), Louisiana (LA), Mississippi (MS), All tags... Missouri (MO), Tennessee (TN), USGS Science Data Catalog (SDC), alluvial aquifer, aquifer, boosted regression trees, groundwater, groundwater quality, machine learning, mathematical modeling, water quailty, Fewer tags