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This child item data set provides phytoplankton data collected from Owasco Lake, New York, on October 8, 2019. Phytoplankton were identified to the lowest possible taxonomic level, and abundance (density reported as both natural units and cells) and biovolume are reported. All data are reported as raw calculated values. This dataset includes all routine and quality assurance/quality control samples collected at twelve sampling locations on Owasco Lake.
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Class, Contaminants, HABS, Division, Family, Finger Lakes, All tags...
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This data release contains three 10-meter resolution GeoTIFFs representing 10-meter (35-foot), 30-meter (100-foot) and 90-meter (300-foot) riparian buffer zones along shorelines, rivers, streams, and other lotic (flowing) water features. The layers are binary, where the value of each cell represents the presence or absence of the buffer zone. In addition, the data release contains shapefile layers that document the extent of corrections that were made to the data to address errors in the stream network (see processing steps section for more details). The methodology combines various fine-scale input layers, including a 1:24k stream network and Chesapeake Bay 1-meter resolution Land Use/Land Cover to approximate...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring Network (RIM) stations for the period 1985 through 2017. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
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The U.S. Geological Survey Toxic Substances Hydrology Program at Cape Cod has been investigating the fate and transport of a treated-wastewater, groundwater contaminant plume. A portion of the contaminated groundwater discharges into Ashumet Pond, a kettle hole, freshwater lake. A study was conducted from June 2013 to June 2015 to document transport, transformation, and discharge of dissolved inorganic nitrogen species (DIN; nitrate, nitrite, and nitrous oxide) from the contaminant plume to the lake, across the groundwater-surface water interface. As part of that study, in October 2014, two natural gradient tracer tests were conducted within the lake bed sediments using nitrite as a reactive tracer and bromide as...
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The Highway-Runoff Database (HRDB) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway runoff on the Nation's receiving waters (Granato and Cazenas, 2009; Granato, 2013; Granato and others, 2018). The HRDB was assembled by using a Microsoft Access database application to facilitate use of the data and to calculate runoff-quality statistics with methods that properly handle censored-concentration data. The HRDB was first published as version 1.0 in cooperation...
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Ecosystem metabolism is a measure of energy flow in terrestrial and aquatic environments that quantifies a balance between the rate of biomass production by photosynthesizing plants and the rate of biomass oxidation by respiring plants and animals to maintain and build living biomass. It is therefore a fundamental measure of ecosystem function that quantifies the balance between the rate of production, maintenance, and decay of organic matter. It also provides an understanding of energy flow to higher trophic levels that supports food webs with secondary and tertiary productivity. Furthermore, metabolism helps explain when aquatic ecosystems undergo out-of-balance behaviors such as hypoxia. Recent advances in sensor...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2021. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
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There are over 10,000 hydrothermal features in Yellowstone National Park (YNP), where waters have pH values ranging from about 1 to 10 and surface temperatures up to 95 °C. Active geothermal areas in YNP provide insight into a variety of processes occurring at depth, such as water-rock and oxidation-reduction (redox) reactions, the formation of alteration minerals, and microbial (thermophile) metabolism in extreme environments. Investigations into the water chemistry of YNP hot springs, geysers, fumaroles, mud pots, streams, and rivers have been conducted by the U.S. Geological Survey (USGS) and other earth-science organizations and academic institutions since 1888 (Gooch and Whitfield, 1888). More recently, USGS...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2022. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
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The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's mean maximum and minimum January temperature from PRISM 1981-2010 4km data (resampled to 30m resolution). These values, which cover the conterminous United States, will be served in the National StreamStats Fire-Hydrology application to describe delineated watersheds (https://streamstats.usgs.gov/). The StreamStats application provides access to spatial analysis tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, to retrieve basin...
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As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey is assessing streambank erosion potential in selected stream reaches throughout the Greater Raleigh metropolitan area. Rapid field measurement techniques were used to assess streambank stability at 124 stream segments between January and March 2022. Field data were collected using the Bank Erosion Hazard Index (BEHI) and Near Bank Stress (NBS) assessment methods (Rosgen, 2001; Rosgen and others, 2008) as well as the Rapid Geomorphic Assessment (RGA) method (Simon and others, 2007). This Data Release contains a dataset with all stream site information, field measurements, and streambank stability assessment results;...
This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater flows, concentrations, and loads to be above user-selected water-quality goals and the potential effectiveness of mitigation measures to reduce such risks. In SELDM, three treatment variables, hydrograph extension, runoff volume reduction, and water-quality treatment are modeled by using the trapezoidal distribution and the rank...
This data release contains input data used in model development and TIF raster files used to predict the probability of low dissolved oxygen (DO) and high dissolved iron (Fe) in groundwater within the glacial aquifer system in the northern continental United States. Input data include measured DO and Fe concentrations at groundwater wells, and associated predictor variable data. The probability of low DO and high Fe was predicted using boosted regression tree methods using the gbm package in R (v. 4.0.0) in RStudio (v. 1.2.5042). The response variables for individual models were the occurrence of: (1) DO ≤0.5 mg/L, (2) DO ≤2 mg/L, and (3) Fe >100 µg/L. Water-quality data were compiled from three sources, as described...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring Network (RIM) stations for the period 1985 through 2018. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
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Water analyses are reported for 66 samples collected from numerous thermal and non-thermal (rivers and streams) features in the southwestern areas of Yellowstone National Park (YNP) during 2009, 2017, and 2018. Water samples were collected from sources near Boundary Creek, Bechler River, Falls River, Mountain Ash Creek, Upper Snake River, Spirea Creek, and Lewis Lake. These water samples were collected and analyzed as part of research investigations on the chemistry of Yellowstone’s hydrothermal system and on the distribution of dissolved arsenic and mercury. Most samples were analyzed for major cations and anions, trace metals, redox species of arsenic, iron, nitrogen, and sulfur, and isotopes of hydrogen and oxygen....
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2020. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. The file containing annual loads for all applicable NTN monitoring stations is provided in the "Attached Files" section. First posted: July...
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal network (NTN) stations for the period 1985 through 2018. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). Yields (represents the mass of constituent transported from a unit area of a given watershed) are used to compare the export loads from one basin to another. Yield results are obtained by dividing the annual load (pounds) of a given constituent by the respective watershed area (acres)...
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Impervious runoff-discharge to receiving streams is widely recognized as one of the leading factors contributing to ecological degradation in such streams. Although there are many factors that contribute to ecological degradation with increasing development adverse effects caused by runoff quality is widely recognized as a contributing factor. The objective of this study was to simulate the flows concentrations and loads of impervious-area runoff and stormflows from an undeveloped area over a range of impervious percentages and drainage areas to examine potential relations between these variables and the quantity and quality of downstream flows. Stormwater runoff in a hypothetical stream basin that represents hydrologic...
map background search result map search result map Minnesota - Presettlement Vegetation Ohio - Original Vegetation Chesapeake Bay River Input Monitoring Network 1985-2017: Annual loads Natural gradient, lakebed tracer tests using nitrite in a nitrate-contaminated groundwater discharge zone in Ashumet Pond, Massachusetts Water chemistry data for selected hot springs and rivers in Southwest Yellowstone National Park, Wyoming Highway-Runoff Database (HRDB) Version 1.1.0 Chesapeake Bay River Input Monitoring Network 1985-2018: WRTDS input data Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM) Chesapeake Bay Nontidal Network 1985-2018: Average annual yields Groundwater data, predictor variables, and rasters used for predicting redox conditions in the glacial aquifer, northern continental United States Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) Owasco Lake, New York, phytoplankton data, October 8, 2019 Pre-computed mean January maximum and minimum temperature rasters from PRISM 1981-2010 from the conterminous United States, for the StreamStats Fire-Hydrology application 2021 Water-Chemistry and Isotope Data for Selected Springs, Geysers, Streams, and Rivers in Yellowstone National Park, Wyoming RiverMET: Workflow and scripts for river metabolism estimation including Illinois River Basin application, 2005 - 2020 Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022 Chesapeake Bay Nontidal Network 1985-2020: Annual loads (ver. 2.0, January 2023) Chesapeake Bay River Input Monitoring Network 1985-2021: WRTDS output data Chesapeake Bay River Input Monitoring Network 1985-2022: Monthly loads Chesapeake Bay Watershed 1:24k 10, 30 and 90-meter Riparian Buffer Zones Natural gradient, lakebed tracer tests using nitrite in a nitrate-contaminated groundwater discharge zone in Ashumet Pond, Massachusetts Owasco Lake, New York, phytoplankton data, October 8, 2019 Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022 Water chemistry data for selected hot springs and rivers in Southwest Yellowstone National Park, Wyoming Water-Chemistry and Isotope Data for Selected Springs, Geysers, Streams, and Rivers in Yellowstone National Park, Wyoming Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM) RiverMET: Workflow and scripts for river metabolism estimation including Illinois River Basin application, 2005 - 2020 Ohio - Original Vegetation Chesapeake Bay River Input Monitoring Network 1985-2017: Annual loads Chesapeake Bay Nontidal Network 1985-2020: Annual loads (ver. 2.0, January 2023) Chesapeake Bay River Input Monitoring Network 1985-2022: Monthly loads Chesapeake Bay River Input Monitoring Network 1985-2018: WRTDS input data Chesapeake Bay Nontidal Network 1985-2018: Average annual yields Chesapeake Bay River Input Monitoring Network 1985-2021: WRTDS output data Chesapeake Bay Watershed 1:24k 10, 30 and 90-meter Riparian Buffer Zones Minnesota - Presettlement Vegetation Groundwater data, predictor variables, and rasters used for predicting redox conditions in the glacial aquifer, northern continental United States Pre-computed mean January maximum and minimum temperature rasters from PRISM 1981-2010 from the conterminous United States, for the StreamStats Fire-Hydrology application 2021 Highway-Runoff Database (HRDB) Version 1.1.0 Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)