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This data set consists of the results of the statistical analysis (Asquith and others, 2020) of the remaining 10,295 water level records that met specific criteria to ensure that the water level records were representative of true groundwater conditions in the Mississippi River Valley alluvial aquifer. The data are provided in a CSV file named StatisticalAnalysis.csv, and in the Environmental Systems Research Institute (ESRI) shapefile format consisting of a group of files that have been compressed into a zip archive named StatisticalAnalysis.zip.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: groundwater,
groundwater level,
wells
This dataset is the raster, in feet, of the potentiometric-surface map, spring 2018, Mississippi River Valley alluvial (MRVA) aquifer. The raster cell size is 1,000 meters; the raster altitude data was referenced to the North American Vertical Datum of 1988 (NAVD 88). The raster was interpolated using (1) most of the available groundwater-altitude data from wells and surface-water-altitude data from streamgages, and (2) potentiometric-surface contours.
This file contains site identification information of streamgages and paired wells to the streamgages operated by the U.S. Geological Survey in the State of Mississippi and within the Mississippi Alluvial Plain to monitor shallow groundwater conditions and aid in understanding the interaction between groundwater and surface water. Useful background on pairing groundwater and surface-water monitoring is provided by Constantz and others (2012). Differing scientific purposes of modeling or statistical studies could benefit from the identification of these sites for isolation or removal from comprehensive groundwater-level data projects for the Mississippi River Valley alluvial aquifer.
This dataset contain the final 6,298 water-level records that met all threshold criteria and had absolute residuals (ABS_PSEUDO_LEVRES) not exceeding 20 feet and exceeding the 99th percentile. This final dataset is considered a best representation of the true water levels in the aquifer.
The Louisiana Department of Natural Resources' (LaDNR) Strategic Online Natural Resources Information System (SONRIS) is a repository for well information that includes date of completion, well construction, geology, and water levels. Well information provided by the water well drillers during the permitting process is updated periodically by LaDNR. Well information is available in SONRIS as early as 1930 to the present. This data set consist of 20,759 well records extracted from SONRIS that were likely drilled in the Chicot aquifer system in southwestern Louisiana.
This dataset contains surface-water-altitude (SWA) data from streamgages that was used or considered to create a potentiometric-surface map for the Mississippi River Valley alluvial (MRVA) aquifer for spring 2018. The surface-water-altitude data was referenced to the North American Vertical Datum of 1988 (NAVD 88). The streamgages are measured continuously. The streamgage measurement that was used was from early April 2018 and is an estimate of the groundwater altitudes at the gage location. The resultant potentiometric-surface contours and raster represents the generalized central tendency for spring 2018, but it would not be useful for some purposes, such as for calibration of a groundwater-flow model for early...
This dataset contains the contours, in feet, of the potentiometric-surface, spring 2020, Mississippi River Valley alluvial aquifer (MRVA). The contours are referenced to the North American Vertical Datum of 1988 (NAVD 88). The contours were derived from most of the available groundwater-altitude (GWA) data from wells and surface-water-altitude (SWA) data from streamgages, measured in for spring 2020. The potentiometric contours ranged from 10 to 340 feet (3 to 104 meters) above NAVD 88. The regional direction of groundwater flow was generally towards the south-southwest, except in areas of groundwater-altitude depressions, where groundwater flows into the depressions, and near rivers, where groundwater flow generally...
Using previously published (Robinson and others, 2019) no-flow fractions and L-moments of nonzero streamflow from decadal streamflow flow-duration analysis (daily mean streamflow), probability distributions were fit to provide 27 estimated quantiles of decadal flow-duration curves, and hence the probability distributions are a form of parametric modeling that ensures monotonicity of the quantiles by non-exceedance probability (NEP). For both U.S. Geological Survey streamflow-gaging stations (streamgages) and level-12 hydrologic unit code (HUC12) catchments, as defined by Crowley-Ornelas and others (2019), the 27 quantiles were estimated and tabulated in this data release. Three probability distributions were used...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Florida,
Gulf Coast,
Gulf Coast,
Gulf Coast Ecosystem Restoration Council,
This dataset provides numerical and categorical descriptions of 48 basin characteristics for 956 basins with observed streamflow information and 9,314 ungaged basins coinciding with 12-digit hydrologic unit code (HUC12) pour points that drain to the Gulf of Mexico. Characteristics are indexed by National Hydrography Dataset (NHD) version 2 COMID (integer that uniquely identifies each feature in the NHD) and U.S. Geological Survey (USGS) station number for streamflow-gaging station, where applicable. The variables represent mutable and immutable basin characteristics and are organized by characteristic type: physical (5), hydrologic (6), categorical (12), climate (6), landscape alteration (7), and land cover (12)....
Categories: Data,
Data Release - Revised;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Alabama,
Arkansas,
Basin characteristics,
Florida,
Georgia,
Human alteration of waterways has impacted the minimum and maximum streamflow in more than 86% of monitored streams nationally and may be the primary cause for ecological impairment in river and stream ecosystems. Restoration of freshwater inflows can positively affect shellfish, fisheries, habitat, and water quality in streams, rivers, and estuaries. Increasingly, state and local decision makers and Federal agencies are turning their attention to the restoration of flows as part of a holistic approach to restoring water quality and habitat and protecting and replenishing living coastal and marine resources and the livelihoods that depend on them. In 2017, the U.S. Geological Survey (USGS) Lower Mississippi-Gulf...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Florida,
Gulf Coast,
Gulf Coast,
Gulf of Mexico,
The Louisiana Department of Natural Resources’ (LaDNR) Strategic Online Natural Resources Information System (SONRIS) is a repository for recent (1930–present) well information that includes date of completion, well construction, geology, and water level. Well information is provided by the well drillers during the permitting process and is updated regularly by LaDNR. This data set consists of well records that were drilled into or through the Chicot aquifer and associated aquifer units (200-foot sand of Lake Charles area; 500-foot sand of Lake Charles area; 700-foot sand of Lake Charles area; Chicot aquifer system surficial confining unit; Chicot aquifer, lower sand unit; Chicot aquifer, shallow sand unit; Chicot...
Imputed salinities from either salinity or specific conductance observations and covariate data in data structures deemed suitable for statistical modeling of salinity in near-coastal environments of the northern Gulf of Mexico are provided for 15 salinity groups. The data herein were created by the 'covardr2formodel.R' script of 'covESTUSAL software' (Asquith and others, 2023), which represents terminal decisions on variable setup and transformations. The design ideal is data downloaded from this data release would be used in some path of “input” within statistical modeling software. Copious documentation of the decision process for data assembly is provided by Asquith and others (2023).
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Estuary,
Gulf of Mexico,
Gulf of Mexico,
Modeling,
Salinity,
The dataset entitled “imputedsalt_MissS” holds data structures to be relayed to statistical modeling of salinity in near-coastal environments of the Northern Gulf of Mexico. The content therein is created by the ‘covardr2formodel.R’ script that represents terminal decisions on variable setup and transformations. The design ideal is that the content of this directory would be copied to some path of “input” within a model building repository. The table in this directory would be especially suitable for both (1) formal data releases supporting as needed interpretive publications and (2) simultaneous long-term storage as copies within a model building repository in some specific terminal decisions (variable transforms...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Estuary,
Gulf of Mexico,
Gulf of Mexico,
Mississippi Sound,
Modeling,
The dataset entitled “imputedsalt_GalBa” holds data structures to be relayed to statistical modeling of salinity in near-coastal environments of the Northern Gulf of Mexico. The content therein is created by the ‘covardr2formodel.R’ script that represents terminal decisions on variable setup and transformations. The design ideal is that the content of this directory would be copied to some path of “input” within a model building repository. The table in this directory would be especially suitable for both (1) formal data releases supporting as needed interpretive publications and (2) simultaneous long-term storage as copies within a model building repository in some specific terminal decisions (variable transforms...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Estuary,
Galveston Bay,
Gulf of Mexico,
Gulf of Mexico,
Modeling,
Using previously published (Robinson and others, 2019) no-flow fractions and L-moments of nonzero streamflow from decadal streamflow flow-duration analysis (daily mean streamflow), probability distributions were fit to provide 27 estimated quantiles of decadal flow-duration curves, and hence the probability distributions are a form of parametric modeling that ensures monotonicity of the quantiles by non-exceedance probability (NEP). For both U.S. Geological Survey streamflow-gaging stations (streamgages) and level-12 hydrologic unit code (HUC12) catchments, as defined by Crowley-Ornelas and others (2019), the 27 quantiles were estimated and tabulated in this data release. Three probability distributions were used...
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,
A potentiometric surface map for spring 2016 was created for the Mississippi River Valley alluvial (MRVA) aquifer, which was referenced to the North American Vertical Datum of 1988 (NAVD 88), using most of the available groundwater-altitude data from wells and surface-water-altitude data from streamgages. Most of the wells were measured annually or one time, after installation, but some wells were measured more than one time in a year and a small number of wells were measured continually. Streamgages were typically operated continuously. The potentiometric surface map for 2016 was created as part of the U.S. Geological Survey (USGS) Water Availability and Use Science Program to support investigations that characterize...
This dataset contains groundwater (GW)-altitude (ALT) data from wells that was used or considered to create a potentiometric-surface map for the Mississippi River Valley alluvial (MRVA) aquifer for spring 2018. The groundwater-altitude data was referenced to the North American Vertical Datum of 1988 (NAVD 88). Most of the wells were measured annually, but some wells were measured more than one time in a year and a small number of wells were measured continuously. Groundwater-altitude data were from wells measured in spring 2018. Spring-time measurements were preferred because water levels had generally recovered from pumping during the previous irrigation season and it was before pumping began for the current irrigation...
Monthly rollup of the discrete and daily-aligned groundwater levels were created from Robinson, Asquith, and Seanor (2020) data products with removal of the paired groundwater and surface-water sites listed by Robinson, Killian, and Asquith (2020). The monthly rollup is composed of (1) computed monthly "mean" values regardless of whether a well had one measurement in the month or up to about 30 days of daily-mean values, (2) standard deviation of the water levels within the month (sample size is generally just one day but for recorder sites could be up to about 30 days), (3) the last water level in the month, and (4) monthly counts of water levels. The algorithm is available within the sources of visGWDBmrva (Asquith...
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).
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