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http://pubs.usgs.gov/tm/06/a43/The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE), conducted a study from June 2014 through November 2014 to identify the hydrologic, chemical and microbiologic processes affecting declining pump performance and frequent pump failure at a confined disposal facility (CDF) in East Chicago, Indiana. To better understand the causes behind declining pump performance, data were collected to describe the geochemistry and microbiology of groundwater and solids collected from extraction and monitoring wells at the CDF. Mineral-saturation indices were computed using the computer program PHREEQC (Parkhurst and Appelo, 2013) to determine if chemical...
Digital flood-inundation maps for a 9.5-mile reach of the Patoka River at Jasper, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Patoka River at Jasper, Indiana (station number 03375500). Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service...
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Dataset is a model archive containing all relevant files to create regression models that are discussed in the report: Koltun, G.F., 2019, Flood-frequency estimates for Ohio streamgages based on data through water year 2015 and techniques for estimating flood-frequency characteristics of rural, unregulated Ohio streams: U.S. Geological Survey Scientific Investigations Report 2019-5018. WREG R source code, regression results and associated output files are also included in the archive.
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The primary data set consists of continuous water-quality data (temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate plus nitrite, and streamflow) from in-situ equipment, and discrete water-quality samples (total nitrogen, total phosphorus, suspended sediment concentration, and suspended sediment sieve diameter) collected during site visits at the USGS streamgage Iroquois River near Foresman, Indiana, April 7, 2015 to July 19, 2018. These continuous and discrete measurements were used to develop a regression model which may be used to compute concentrations and loads of suspended sediment. The secondary data set consists of daily streamflow and daily turbidity values collected continuously...
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Digital flood-inundation maps for an approximate 4-mile (mi) reach of Nimishillen Creek near North Industry, Ohio were created by the U.S. Geological Survey (USGS) in cooperation with the Muskingum Watershed Conservancy District and the Stark County Commissioners. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage, Nimishillen Creek at North Industry (03118500). Near-real-time stages at these streamgages can be obtained on the internet from the USGS National Water Information System...
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This data release contains the calibration data set and R code used to create regression models for estimating daily loads of suspended sediment, total nitrogen, and total phosphorus at the Iroquois River near Foresman, Indiana streamgage (05524500). The USGS R software package, rloadest, was used to develop the regression models and estimate loads. The models were developed using discrete water-quality data and concurrent daily streamflow data measured/determined at the streamgage for the period April 2015 through July 2018. Also included in this data release is the input data set of daily streamflow data and the daily load output data sets that were produced by the regression models. Summary information for the...
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In 2015-2018, the U.S. Geological Survey (USGS) in cooperation with the U.S. Environmental Protection Agency Great Lakes Restoration Initiative investigated the biodegradation of microcystins in source waters and sand filters from drinking-water plants in the Western Lake Erie Basin. Four source waters and three sand filtrate samples were collected from the intakes and sand filters of Lake Erie drinking-water plants and transported to the USGS Ohio Water Microbiology Laboratory, where investigators set up microcosms to enrich for and identify indigenous bacteria capable of degrading microcystins. Quality control samples were set up in the microcosms to check analyses and included positive controls, negative controls,...
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These data are bathymetry (lake bottom elevation) in XYZ format, generated from the April 9–10, 2018, survey of Bourbon Lake and Williams Lake near Loretto, Kentucky. Bathymetric and topographic data were collected using an autonomous underwater vehicle (AUV) and a real-time kinematic global positioning system (GPS). Data were collected as the AUV traversed the lake along planned survey lines, and these data were supplemented by manual GPS shots in a few areas the AUV could not reach. Data collection software integrated and stored the depth and position data from the AUV in real time. Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information.
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This data release contains a 17-year record (2005-2022) of discrete chlorophyll data from inland waters, collected from across the nation and territories. These data are from discrete samples (collected in the field and analyzed in the laboratory) from plankton (suspended algae) and periphyton (benthic algae) from lakes, streams, rivers, reservoirs, canals, and other sites. These data are gathered to support process and remote sensing modeling and prediction of Harmful Algal Blooms (HABs). The chlorophyll data were compiled from the Water Quality Portal (WQP) and USGS National Water Quality Lab (NWQL). Data for uncorrected chlorophyll a, corrected chlorophyll a, and pheophytin from EPA Methods 445 and 446 are included...
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This dataset provides physical and chemical data for a sediment-fingerprinting study conducted in the upper parts of the Linganore Creek watershed in an effort to quantify and determine the sources of fine-grained sediments eroded from and deposited on streambanks, flood plains, channel beds, and agricultural and forested uplands. Data were collected from August 1, 2008 through December 31, 2010. Chemical data include median particle size, total organic carbon (C) and total nitrogen (N), and concentrations for 19 elements. Physical data includes upstream drainage area from sampling location as well as land-use type.
Mercury (Hg) is a persistent environmental contaminant and can accumulate and concentrate in food webs as methylmercury (MeHg), presenting a health risk to humans and wildlife. Multiyear monitoring and modeling studies have shown that atmospheric Hg in litterfall is an important form of Hg deposition to forests. Annual litterfall consists primarily of leaves with some amounts of needles, twigs, bark, flowers, seeds, fruits, and nuts. Atmospheric Hg accumulates in leaves and reaches an annual maximum concentration at autumn leaf drop. This data set is derived from ambient autumn litterfall samples collected at 23 selected National Atmospheric Deposition Program (NADP) Litterfall Mercury Monitoring Initiative (LMMI)...
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This dataset contains data tables of laboratory quality-control data associated with environmental samples analyzed for microbiological constituents at the Ohio Water Microbiology Laboratory of the U.S. Geological Survey (USGS). The environmental samples were collected across the United States by USGS National Projects and projects in Water Science Centers. These quality-control data can be used to assess the quality of microbiological data for the associated environmental samples.
In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project of the National Water Quality Program. One of the major goals of the NAWQA project is to determine how water quality and ecological conditions change over time. To support that goal, long-term consistent and comparable ecological monitoring has been conducted on streams and rivers throughout the Nation. Fish, invertebrate, and algae data collected as part of the NAWQA program were retrieved from the USGS Aquatic Bioassessment database for use in trend analysis. Ultimately, these data will provide insight into how natural features and human...
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These data provide beryllium-7 (7Be) and excess lead-210 (210Pbxs) activity for fine-grained, mobile, streambed sediment in the Black Creek, Indiana (IN) stream-channel network. This basin is monitored in cooperation with the Great Lakes Restoration Initiative (GLRI). During the period July 22-25, 2019 (summer low flow), the thickness and spatial extent of soft, mobile, fine-grained (mainly silt and clay) streambed sediment was inventoried and sampled along 150-meter (m) transects. A combination of stream corridor land-use distribution, valley type, channel slope, stream order (Strahler, 1957), and ecoregion (Omernik and Griffith, 2014) was used to select 30 rapid geomorphic assessment reaches using methods of Fitzpatrick...
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Jointly managed by multiple states and the federal government, there are many ongoing efforts to characterize and understand water quality in the Delaware River Basin (DRB). Many State, Federal and non-profit organizations have collected surface-water-quality samples across the DRB for decades and many of these data are available through the National Water Quality Monitoring Council's Water Quality Portal (WQP). For this data release, WQP data in the DRB were harmonized, meaning that they were processed to create a clean and readily usable dataset. The harmonization process included the synthesis of parameter names and fractions, the condensation of remarks and other data qualifiers, the resolution of duplicate...
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This data release includes physical and chemical data for samples from upland-source and streambank sampling sites in the Black Creek basin, Indiana. Data include total nitrogen and carbon concentrations, carbon species, total concentrations for 42 metals, and particle-size analysis. Source samples were identified as one of five land-use types: active cropland (corn, soybean, hay, and wheat), active horse pasture, roads, preserved forest, and streambanks of agricultural and non-agricultural channels. Source data were collected in August and September 2017. These data are used for source attribution in order to quantify the proportional contribution of individual sources to suspended sediment and streambed collected...
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The data set consists of continuous water-quality data (temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate plus nitrite, and streamflow) from in-situ equipment and discrete water-quality samples (suspended sediment concentration, suspended sediment sieve diameter, total nitrogen, and total phosphorus) collected during site visits at the USGS streamgage Kankakee River at Shelby, Indiana (05518000) from January 2016 through May 2018.
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Natural river channels continually evolve and change shape over time. As a result, channel evolution or migration can cause problems for bridge structures that are fixed in the flood plain. A once-stable bridge structure that was uninfluenced by a river’s shape could be encroached upon by a migrating river channel. The potential effect of the actively meandering Wabash River on the Interstate 64 (I–64) Bridge at the border with Indiana near Grayville, Illinois, was studied using a river migration model called RVR Meander (RVR Meander, 2011). RVR Meander is a toolbox that can be used to model river channel meander migration with physically based bank erosion methods. This study assesses the Wabash River meandering...
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The development and the generation of the datasets that are published through this data release, were based on the results and findings of the report mentioned here: Kim, M.H., 2018, Flood-inundation maps for the Wabash River at Lafayette, Indiana: U.S. Geological Survey Scientific Investigations Report 2018–5017, 10 p., https://doi.org/10.3133/sir20185017. The geospatial dataset contain final versions of the raster and vector geospatial data and its related metadata, and the model archive dataset contains all relevant files to document and re-run the surface-water (SW) hydraulic model that are discussed in the report.
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During 2015-17, the U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Agriculture Forest Service (USDA FS), carried out a study to characterize the hydrology and water chemistry in the Rock Creek and Cumberland River areas of the Daniel Boone National Forest. The study areas were historically mined for coal and have since been the focus of remediation efforts. The study examined the contributions of tributaries and gains/losses in both areas, and continuous water-quality and base flow estimates at Rock Creek, so the USDA FS can thoroughly evaluate the current conditions and move forward with well-informed remediation efforts.
map background search result map search result map Geospatial output data from the RVR Meander model of the Wabash River near the Interstate 64 Bridge near Grayville, Illinois Geospatial Data and Surface-Water Model Archive for a Flood-Inundation Mapping Study of the Wabash River at Lafayette, Indiana Bathymetry of Bourbon Lake and Williams Lake near Loretto, Kentucky, April 9–10, 2018 Data and Surrogate Models for Suspended Sediment, Total Nitrogen, and Total Phosphorus for the Kankakee River at Shelby, Indiana, January 5, 2016 to May 31, 2018 Model archive—Regional regression models for estimating flood-frequency characteristics of rural, unregulated Ohio streams Streamflow and Water-Quality Data for Selected Streams in the Daniel Boone National Forest, Eastern Kentucky, 2015-17 Data and Regression Model for Suspended Sediment for Iroquois River near Foresman, Indiana, March 20, 2015 to July 19, 2018 Suspended sediment, total nitrogen, and total phosphorus loads for Iroquois River near Foresman, Indiana, April 2015 to July 2018 Geospatial datasets and hydraulic model for flood-inundation maps of Nimishillen Creek near North Industry, Ohio Multisource surface-water-quality data and U.S. Geological Survey streamgage match for the Delaware River Basin Laboratory quality-control data associated with samples analyzed for microbiological constituents at the USGS Ohio Water Microbiology Laboratory Chemical and physical data for sediment source fingerprinting and budget of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie Sources of fine-grained sediment in the Linganore Creek Watershed, Frederick and Carroll Counties, Maryland, 2008-2010 Ecological community datasets used to evaluate the presence of trends in ecological communities in selected rivers and streams across the United States, 1992–2017 A national harmonized dataset of discrete chlorophyll from lakes and streams (2005-2022) Microcosm experiment data of microcystin-degrading bacteria in Lake Erie source waters and drinking-water plants, 2015-18 Fallout-radionuclide activity in samples collected from fine-grained, streambed sediment in the Black Creek, Indiana stream-channel network, 2019 Bathymetry of Bourbon Lake and Williams Lake near Loretto, Kentucky, April 9–10, 2018 Geospatial datasets and hydraulic model for flood-inundation maps of Nimishillen Creek near North Industry, Ohio Geospatial Data and Surface-Water Model Archive for a Flood-Inundation Mapping Study of the Wabash River at Lafayette, Indiana Fallout-radionuclide activity in samples collected from fine-grained, streambed sediment in the Black Creek, Indiana stream-channel network, 2019 Chemical and physical data for sediment source fingerprinting and budget of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie Geospatial output data from the RVR Meander model of the Wabash River near the Interstate 64 Bridge near Grayville, Illinois Suspended sediment, total nitrogen, and total phosphorus loads for Iroquois River near Foresman, Indiana, April 2015 to July 2018 Data and Regression Model for Suspended Sediment for Iroquois River near Foresman, Indiana, March 20, 2015 to July 19, 2018 Sources of fine-grained sediment in the Linganore Creek Watershed, Frederick and Carroll Counties, Maryland, 2008-2010 Streamflow and Water-Quality Data for Selected Streams in the Daniel Boone National Forest, Eastern Kentucky, 2015-17 Data and Surrogate Models for Suspended Sediment, Total Nitrogen, and Total Phosphorus for the Kankakee River at Shelby, Indiana, January 5, 2016 to May 31, 2018 Microcosm experiment data of microcystin-degrading bacteria in Lake Erie source waters and drinking-water plants, 2015-18 Multisource surface-water-quality data and U.S. Geological Survey streamgage match for the Delaware River Basin Model archive—Regional regression models for estimating flood-frequency characteristics of rural, unregulated Ohio streams Ecological community datasets used to evaluate the presence of trends in ecological communities in selected rivers and streams across the United States, 1992–2017 Laboratory quality-control data associated with samples analyzed for microbiological constituents at the USGS Ohio Water Microbiology Laboratory A national harmonized dataset of discrete chlorophyll from lakes and streams (2005-2022)