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These are the data sets in machine readable files from a quantitative dye tracer test conducted at Langle Spring November 13-December 2, 2017 as part of the USGS training class, GW2227 Advanced Field Methods in Karst Terrains, held at the Savoy Experimental Watershed, Savoy Arkansas. Langle Spring is NWIS site 71948218, latitude 36.11896886, longitude -94.34548871. One pound of RhodamineWT dye was injected into a sinking stream at latitude 36.116772 longitude -94.341883 NAD83 on November 13, 2017 at 22:50. The data sets include original fluorimeter data logger files from Langle and Copperhead Springs, Laboratory Sectra-fluorometer files from standards and grab samples, and processed input and output files from the...
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This data release pertains to a seepage investigation and dye tracing study conducted in the Big Creek watershed of Newton County, Arkansas. The seepage dataset includes geospatial files of discharge measurement points and zero-flow observations along with vector lines delineating losing and gaining stream reaches. The dye tracing dataset consists of geospatial files of monitoring sites, dye injection location, and dye flow paths. Hydrologic systems in karst environments have a high degree of interconnectivity between surface water and groundwater systems. Because of this interconnectivity, activities which occur on the surface in karst environments have a direct impact on the water quality and quantity of karst...
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Groundwater from the Mississippi River Valley alluvial aquifer (MRVA) 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 trace elements, including manganese and arsenic. Boosted regression trees, a type of ensemble-tree machine-learning method, were used to predict manganese concentration and the probability of arsenic concentration exceeding a 10 µg/L threshold throughout the MRVA. Explanatory variables for the BRT models included attributes associated with well location and construction, surficial variables (such as hydrologic position and recharge), variables extracted from a MODFLOW-2005...
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The U.S. Geological Survey, in cooperation with the Savannah Valley Utility District, evaluated the groundwater hydrology of the Valley and Ridge carbonate aquifer system of Cambrian-Ordovician age in the area of Savannah and Gunstocker Creeks in northeastern Hamilton, southern Meigs, and northwestern Bradley Counties, Tennessee, from 2007 through 2009. The evaluation included and built on: 1) the results of test drilling conducted in the area in 1974 to determine the potential for groundwater as a source of public supply for the utility, and 2) the results of an investigation conducted to define recharge areas for wells used by groundwater-source public-supply water systems throughout Hamilton County in the early...
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The U.S. Geological Survey (USGS) works closely with the Mississippi Department of Transportation (MDOT) to provide information to be used by the MDOT for design of highway-drainage structures. MDOT spends millions of dollars annually for highway construction. Streamflow records, hydrologic analyses of basins, and hydraulic analyses of flooding potential at proposed highway crossings help the MDOT to make more informed decisions on the use of highway construction funding. Flood-frequency and hydraulic characteristics at highway crossings are determined from historical flood-elevation data recovered by the USGS, cross-section data, and correlations with data from nearby gaging stations. Additional streamflow data...
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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 it accommodates a large and diverse set of explanatory variables, does not assume monotonic relations between predictors and response data, and results can be extrapolated to areas of the aquifer not sampled. These aspects of ML allowed potential drivers and sources of high salinity water that have been hypothesized in other studies to...
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Data from an optical turbidity sensor deployed at the stream station were recorded at 15-minute intervals by a data logger and uploaded every hour to the U.S. Geological Survey (USGS) database (Anderson, 2005; Wagner, 2006). Suspended-sediment samples were collected using equal width increments or grab sampling techniques (Edwards, 1999). The use of an optical sensor to continuously monitor turbidity provided an accurate estimate of sediment fluctuations without the collection and analysis costs associated with intensive sampling (Office of Surface Water Memorandum 2016.07; Rasmussen et al., 2009). Turbidity was used as a surrogate for suspended-sediment concentration (SSC), which is a measure of sedimentation and...
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Of the approximately 6.6 million people living in the Mississippi embayment (MISE) region in the central United States, approximately 65 percent rely on groundwater for their drinking water (Dieter, Linsey, and others, 2017). Regional assessments of water quality in principal aquifer systems provide context for the long-term availability of these water resources for drinking-water supplies. To assess the current (2018) status of water quality in MISE in relation to drinking water supplies, groundwater withdrawal zones used for domestic and public supply were modeled using available groundwater well and hydrogeologic framework data. Three dimensional surfaces were modeled to map the depth zones at which groundwater...
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This data release includes data-processing scripts, data products, and associated metadata for a study to model the hydrology of several hundred vernal pools (i.e., seasonal pools or ephemeral wetlands) across the northeastern United States. More information on this study is available from the project website. This data release consists of several components: (1) an input dataset and associated metadata document ("pool_inundation_observations_and_climate_and_landscape_data"); (2) an annotated R script which processes the input dataset, performs inundation modeling, and generates model predictions ("annotated_R_script_for_pool_inundation_modeling.R"); and (3) a model prediction dataset and associated metadata document...
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...
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The Little Sequatchie River and Pryor Cove Creek watersheds are located in southern Tennessee and drain the eastern escarpment of the Cumberland Plateau to the Sequatchie River. The Little Sequatchie River has the largest drainage area of any Sequatchie River tributary, with over 130 square miles in the topographic confines of the watershed. The hydrology of both watersheds has been largely altered by karst processes which have caused the majority of the streams to sink into the sub-surface, typically at the contact between the Mississippian Pennington Formation and the underlying Mississippian Bangor Limestone. A collaborative project between the U.S. Geological Survey and the U.S. Fish and Wildlife Service began...
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This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate potential recharge for the Mississippi Alluvial Aquifer for 1915 to 2018. The model was calibrated using monthly values of evapotranspiration and annual values of runoff and recharge for 19 drainage basins selected from within or nearby the Mississippi Alluvial Aquifer system. The calibrated SWB model and its use are described in the associated U.S. Geological Survey Open-File Report 2021-1008. The model was used to create output at two different scales: 1,609-meter and 1,000-meter grid cells. Also included are files used to generate a high-resolution (100-meter) subset of output for an area near Shellmound, Mississippi....
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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 the Quaternary Mississippi River Valley alluvial aquifer (MRVA), and the Mississippi embayment aquifer system, which includes deeper Tertiary aquifers and confining units. The groundwater residence time simulation focused on the MRVA and two hydrogeologic units of the Claiborne Group (CLBG) from the deeper system, including the middle...
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Nitrogen and phosphorus losses from agricultural areas have impacted the water quality of downstream rivers, lakes, and oceans. As a result, investment in the adoption of agricultural best management practices (BMPs) has grown but assessments of their effectiveness at large spatial scales have been sparse. This study applies regional Spatially Referenced Regression On Watershed-attributes (SPARROW) models developed for the Midwest, Northeast, and Southeast regions of the United States to quantify regional effects of BMPs on nutrient losses from agricultural lands. These models were used because they account for specific BMPs in the prediction of instream nutrient loads. This data release accompanies the journal...
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The data and R scripts contained in this data release are provided as support for a manuscript titled, "Copula theory as a generalized framework for flow-duration curve based streamflow estimates in ungaged and partially gaged catchments" (Worland and others, 2019) submitted to Water Resources Research. The dv_input.csv contains the measured daily streamflow values for 37 streamgages in the Mobile-Tombigbee River Basin, 4-digit hydrologic unit code (HUC4) 0316, and 37 gages in the Trinity River Basin, HUC4 codes 1201, 1202, 1203, and 1204. The coord_input.csv contains the coordinates and the basin area (squared meters) for the gages in each basin. The R scripts generate daily streamflow estimates using 16 different...
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The dataset includes flood-frequency data and related files for 211 streamgages operated by the U.S. Geological Survey (USGS) in Louisiana and parts of the surrounding states of Arkansas, Mississippi, and Texas as well as assembled explanatory variables (physical, climatic, and land-use characteristics of the basins). The data in this release were used in generalized least-squares (GLS ) regression analyses (Stedinger and Tasker, 1985) to generate equations used to predict annual exceedance probabilities (AEPs) at ungaged locations on streams in the study area (Ensminger and others, 2021). Flood-frequency analyses were conducted using annual peak-flow data from the 1877-2016 water years to estimate streamflows...
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This item contains a data file (.csv) and associated metadata document (.xml) for the daily time-step hydrologic model for Sinking Pond from January 1, 1854 through September 30, 2019 under the original calibration and the recalibration, along with daily climate (temperature and precipitation) values and observed stage values used in the recalibration process. The data file ‘Daily_values_for_climate_stage_and_model_terms.csv’ is a required input to the R script in this data release as it provides the daily climate variables used to drive the model and the daily stage values used for calibration. Model terms are described briefly in the metadata document ‘Daily values for climate and stage observations, hydrologic...
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As part of a study to analyze the effects of sea-level rise on groundwater resources of Colonial National Historical Park, a monitoring network was established on Historic Jamestown Island, Virginia, to evaluate current levels of and changes in groundwater elevation and water quality. The monitoring network includes 45 wells and piezometers, 3 marsh sites, and 2 surface-water sites distributed across 5 sampling locations on Jamestown Island. Field parameters, including water temperature, specific conductance, pH, and dissolved oxygen, were collected at the marsh and surface-water sites. Field parameters and water levels were collected from the wells and piezometers. Information provided in this data release was...
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This item contains a data file (.csv) and associated metadata document (.xml) for the recalibration of the Sinking Pond hydrologic model. The hydrologic model was recalibrated using the R script ‘annotated_R_script_for_model_recalibration.R’ and the input dataset ‘Daily_values_for_climate_stage_and_model_terms.csv’ to produce recalibrated values for the four calibrated parameters in the model: KBR, KPR, KBG, and PG (see the ‘Entity and Attribute’ section of the metadata document ‘Model recalibration results including recalibrated parameters and model performance statistics.xml’ for parameter definitions; for additional information see table 9 in Wolfe and others, 2004). The data file ‘model_recalibration_results.csv’...


map background search result map search result map Data sets for a quantitative dye tracer test conducted at the Savoy Experimental Watershed, November 13-December 2, 2017, Savoy, Arkansas Observed and modeled daily streamflow values for 74 U.S. Geological Survey streamgage locations in the Trinity and Mobile-Tombigbee River basins in the southeast United States: 2000--2009 Groundwater withdrawal zones for drinking water from the Mississippi River Valley alluvial aquifer and Mississippi embayment aquifers Simulated groundwater residence times in two principal aquifers of the Mississippi embayment physiographic region Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi embayment Inundation observations and inundation model predictions for vernal pools of the northeastern United States Field Parameters and Water Levels from Monitoring Sites at Jamestown Island, Virginia, 2016 - 2018 Daily values for climate and stage observations, hydrologic model terms, and modeled pond stage Model recalibration results including recalibrated parameters and model performance statistics Machine-learning model predictions and rasters of arsenic and manganese in groundwater in the Mississippi River Valley alluvial aquifer Geospatial data for groundwater potentiometric-surface maps in northeastern Hamilton, southern Meigs, and northwestern Bradley Counties, Tennessee, fall 1992, spring and fall 1993, summer 2008, and spring 2009 Flood-frequency of rural, non-tidal streams in Louisiana and parts of Arkansas, Mississippi, and Texas, 1877-2016 Seepage investigation and dye tracing to characterize base flow stream behavior in Big Creek watershed, Newton County, Arkansas Nutrient Load Data used to Quantify Regional Effects of Agricultural Best Management Practices: An application of the 2012 SPARROW models for the Midwest, Northeast, and Southeast United States Chesapeake Bay Watershed Non-Tidal Network Station Catchments Model Archive Data for Suspended-Sediment Regression at Station 071948095, Mud Creek near Johnson, AR Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2022 Mapping karst groundwater flow paths and delineating recharge areas for springs in the Little Sequatchie and Pryor Cove watersheds, Tennessee Data sets for a quantitative dye tracer test conducted at the Savoy Experimental Watershed, November 13-December 2, 2017, Savoy, Arkansas Daily values for climate and stage observations, hydrologic model terms, and modeled pond stage Model recalibration results including recalibrated parameters and model performance statistics Field Parameters and Water Levels from Monitoring Sites at Jamestown Island, Virginia, 2016 - 2018 Seepage investigation and dye tracing to characterize base flow stream behavior in Big Creek watershed, Newton County, Arkansas Geospatial data for groundwater potentiometric-surface maps in northeastern Hamilton, southern Meigs, and northwestern Bradley Counties, Tennessee, fall 1992, spring and fall 1993, summer 2008, and spring 2009 Mapping karst groundwater flow paths and delineating recharge areas for springs in the Little Sequatchie and Pryor Cove watersheds, Tennessee Model Archive Data for Suspended-Sediment Regression at Station 071948095, Mud Creek near Johnson, AR Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2022 Flood-frequency of rural, non-tidal streams in Louisiana and parts of Arkansas, Mississippi, and Texas, 1877-2016 Chesapeake Bay Watershed Non-Tidal Network Station Catchments Groundwater withdrawal zones for drinking water from the Mississippi River Valley alluvial aquifer and Mississippi embayment aquifers Simulated groundwater residence times in two principal aquifers of the Mississippi embayment physiographic region 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 rasters of arsenic and manganese in groundwater in the Mississippi River Valley alluvial aquifer Observed and modeled daily streamflow values for 74 U.S. Geological Survey streamgage locations in the Trinity and Mobile-Tombigbee River basins in the southeast United States: 2000--2009 Inundation observations and inundation model predictions for vernal pools of the northeastern United States Nutrient Load Data used to Quantify Regional Effects of Agricultural Best Management Practices: An application of the 2012 SPARROW models for the Midwest, Northeast, and Southeast United States