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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.
This dataset is a point shapefile of wells measured for the potentiometric surface maps of the Mississippi River Valley alluvial aquifer (MRVA) in Spring 2016, 2018, and 2020. The data provided for each well considered in the applicable potentiometric surface map are the water-level date, altitude [relative to the North American vertical datum of 1988 (NAVD88)], a useYYYY code (which is positive if the water level was used in the potentiometric surface map for that year), a use comment (which is populated for water levels not used), and the water-level change values, for 2016-18, 2018-20, and 2016-20 for water levels with positive useYYYY codes for the applicable years. The data provided for each streamgage considered...
This dataset is a raster surface, in feet, of the depth to water, spring 2020, Mississippi River Valley alluvial aquifer (MRVA). The raster cell size is 1,000 meters (3,280.8 ft). The raster was interpolated using (1) depth-to-water (GW_D2W) data from wells and (2) an assumed value of zero for depth to water at streamgages (SW_D2W) because the precise depth to groundwater at the streamgage is not known..The streamgage data is used only when it appears the regional aquifer and surface water are hydrologically connected.
Water scarcity is a growing concern in Texas, where surface water is derived almost entirely from rainfall. Changes in air temperature and precipitation patterns associated with global climate change are anticipated to regionally affect the quality and quantity of inland surface waters and consequently their suitability as habitat for freshwater life. In addition to directly affecting resident organisms and populations, these changes in physicochemical traits of aquatic habitats may favor the establishment of harmful invasive species. As conflicts over the use of water resources grow in intensity, this information will become important for fish and wildlife managers to anticipate impacts of climate change on trust...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2010,
CASC,
Completed,
Lake,
National CASC,
In 2004, a hydrologic water-budget analysis was conducted and the results published in the report, Water-Budget Analysis of Medina and Diversion Lakes and the Medina/Diversion Lake System, With Estimated Recharge to the Edwards Aquifer, San Antonio Area, Texas (SIR 2004-5209)(Slattery and Miller, 2004). This data release contains the hydrologic water-budget data used in a reanalysis of the data as well as the results of the reanalysis. The hydrologic water-budget data used was derived from selected columns of data found in table 5 of the report. The columns of selected data include the time period in which the data were collected, the number of days used to obtain the average groundwater outflow, the standard deviation...
Categories: Data;
Tags: Medina Lake,
USGS Science Data Catalog (SDC),
Water Resources,
groundwater,
recharge,
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 is a raster surface, in feet, of the depth to water, spring 2016, Mississippi River Valley alluvial aquifer (MRVA). The raster cell size is 1,000 meters (3,280.8 ft). . The raster was interpolated using (1) depth-to-water (GW_D2W) data from wells and (2) an assumed value of zero for depth to water at streamgages (SW_D2W) because the precise depth to groundwater at the streamgage is not known. The streamgage data is used only when it appears the regional aquifer and surface water are hydrologically connected.
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...
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