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Between 1900 and 1932, a copper (Cu) mine operated near Gay, Michigan, along the shore of Lake Superior, discharged approximately 22.8 million metric tons of waste material known as ‘stamp sands’ (SS) to a nearby beach. This pile of SS has migrated via wind and rain along the beaches in northern Grand Traverse Bay and into Buffalo Reef, an important spawning area for Lake Trout and Lake Whitefish. During their first summer, these newly spawned fish consume benthic invertebrates and zooplankton in nearby beach habitats. SS contain elevated concentrations of metals (especially Cu) that are toxic to many invertebrate taxa, and studies have observed very few benthic taxa in areas with very high SS. Here, we sampled...
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The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for 19 countries of interest in the Indo-Pacific region (area of study): Bangladesh, Bhutan, Brunei, Burma, Fiji, Malaysia, Mongolia, Nauru, New Caledonia, New Zealand, Papua New Guinea, Philippines, Singapore, Solomon Islands, South Korea (Republic of Korea), Sri Lanka, Taiwan, Timor-Leste, and Vietnam. The data can be used in analyses of the extractive fuel and nonfuel mineral industries integral for the successful operation of the mineral industries within the area of study. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Asia, Bangladesh, Bhutan, Brunei, Burma, All tags...
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The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for the People's Republic of China. The data can be used in analyses of the extractive fuel and nonfuel mineral industries and related economic and physical infrastructure integral for the successful operation of the mineral industries within the area of study as well as the movement of mineral products across domestic and global markets. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral...
Tags: Asia, China, Economic Geology, Energy Resources, Fujian Province, All tags...
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Arsenic (As) toxicity is a global environmental and health problem. There are both natural (eg volcanic activity) and anthropogenic sources of As (eg lead arsenate and copper arsenate were commonly used pesticides in the 1900’s). Aqueous levels of arsenic in the Klamath Basin (CA, OR), which has a volcanic origin, can exceed at some locations both the Oregon Department of Environmental Quality human health water quality criteria (2.1 ug/L) (Sturdevant, 2011) and the US EPA drinking water limit (10 ug/L) (US EPA., 2001). In this study, dissolved concentrations of As, copper (Cu) and lead (Pb) were measured in more than 30 sites within the Klamath Basin between May and October. Results from samples collected between...
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A series of tools (spreadsheets, a database and a document) to be used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
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This R script can be used to analyze SELDM results. The script is specifically tailored for the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
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Spreadsheet used to calculate Highway Site characteristics (Drainage area, slope and impervious fraction) for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053.
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The Marcellus Shale Energy and Environment Laboratory (MSEEL) site is a long-term field site and laboratory at the Northeast Natural Energy LLC (NNE) production facility, adjacent to the Monongahela River, located in western Monongalia County, West Virginia, USA. NNE began drilling two horizontal production wells, MIP (Morgantown Industrial Park) -5H and MIP-3H, in the Marcellus Shale in 2014. The wells were completed in December 2015. Large volumes of wastewater are generated with natural gas production. These wastewaters contain organic and inorganic chemical constituents from fracturing fluids used during drilling and stimulation of gas in host rocks/shale, as well as chemical compounds that are derived from...
Categories: Data; Tags: Energy Resources, Environmental Health, Geochemistry, MSEEL, Marcellus Shale Energy and Environment Laboratory, Morgantown, All tags...
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Spreadsheet used to calculated hydrograph recession parameters (Minimum, Most Probable Value, and Maximum) for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
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The U.S. Geological Survey is monitoring metal concentrations in streambed sediment pre- and post-dam removal in the lower Klamath River basin. Concentrations of aluminum, arsenic, cadmium, cobalt, chromium, copper, iron, potassium, magnesium, manganese, nickel, lead, titanium, vanadium and zinc were sampled at 10 mainstem sites, four tributaries and two reservoirs. Mainstem and tributary collections occurred once annually in 2018, 2019, 2021 and 2022. Reservoir sediment samples (Copco and Iron Gate) were collected in 2020.
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This data release provides quantitative whole rock geochemical results from The Geysers vapor-dominated geothermal field in California. The concentrations of major elements are reported in oxide weight percent by wavelength dispersive x-ray fluorescence (WDXRF), the concentrations for sixty elements are reported in elemental weight percent (pct) or parts per million (ppm) from inductively coupled plasma-optical emission spectrometry-mass spectrometry ICP-OES-MS analysis, mercury is reported in ppm by cold vapor atomic absorption spectrometry (CVAAS), and ammonium in ppm from automated colorimetry analysis. The analyses show significant enrichment of volatile elements and elements such as sulfur, boron, arsenic,...
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The Alaska Geochemical Database Version 4.0 (AGDB4) contains geochemical data compilations in which each geologic material sample has one best value determination for each analyzed species, greatly improving efficiency of use. The relational database includes historical geochemical data archived in the USGS National Geochemical Database (NGDB), the Atomic Energy Commission National Uranium Resource Evaluation (NURE) Hydrogeochemical and Stream Sediment Reconnaissance databases, and the Alaska Division of Geological and Geophysical Surveys (DGGS) Geochemistry database. Data from the U.S. Bureau of Mines and the U.S. Bureau of Land Management are included as well. The data tables describe historical and new quantitative...
Tags: AGDB, AMRAP, Alaska Geochemical Database, Alaska Mineral Resource Assessment Program, Alaska Range, All tags...
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Spreadsheet used to calculated hydrograph recession statistical parameters (Minimum, Most Probable Value, and Maximum) for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053, and after using the Hydrograph.xlsx spreadsheet.
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Stochastic Empirical Loading and Dilution Model (SELDM) utilizes Microsoft Access databases to build and run model simulations. The compiled database was used for all simulations related to the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
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The United States Geological Survey (USGS) collected a total of 179 samples of surficial sediment from abandoned mine wastepiles, ephemeral channels, nearby outcrops, and background areas representative of the undisturbed lithology within the Silver Island and Crater Island mining districts (Krahulec, 2018).The samples were sieved to obtain the less than 177 micron fraction. Geochemical analyses were completed through a third-party contract by SGS Laboratories. Samples were analyzed for 49 major, minor, and trace elements using Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS) methods (Ag, Al, As, Ba, Be, Bi, Ca, Cd, Ce, Co, Cr, Cs, Cu, Fe,...
Categories: Data; Tags: Bonneville Salt Flats, Box Elder County, Campbell Peak, Cobb Peak, Crater Island, All tags...
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This document provides guidance for using the Stochastic Empirical Loading Dilution Model (SELDM) in the state of Oregon. The document is meant as an accompaniment to the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
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Spreadsheet for identifying individual storms for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053.


    map background search result map search result map Tools for use in Oregon with the Stochastic Empirical Loading Dilution Model Stochastic Empirical Loading and Dilution Model in MS Access Excel spreadsheet used for calculating hydrograph recession values use in the Stochastic Empirical Loading Dilution Model Excel spreadsheet used for calculating highway site characteristics for use in the Stochastic Empirical Loading Dilution Model Guidance document for using the Stochastic Empirical Loading Dilution Model Excel spreadsheet used for calculating hydrograph recession parameter statistics used in the Stochastic Empirical Loading Dilution Model Excel spreadsheet finding individual storms for use in the Stochastic Empirical Loading Dilution Model R programming code for analyzing output from the Stochastic Empirical Loading Dilution Model Aqueous and solid phases partitioning of elemental constituents associated with Marcellus Shale Energy and Environment Laboratory (MSEEL) gas well produced wastewater, Morgantown, WV, 2016 - 2019 Dissolved arsenic, copper, and lead concentrations in surface water within the Klamath Basin (ver. 4.0, April 2023) The major, minor, and trace element geochemistry of mineral scales from The Geysers geothermal field, California, USA Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of the People's Republic of China Abandoned Mine Land (AML) Geochemical Data: Silver Island and Crater Island Mining Districts, UT Alaska Geochemical Database Version 4.0 (AGDB4) including best value data compilations for rock, sediment, soil, mineral, and concentrate sample media Metal concentrations in streambed sediment in the lower Klamath River basin, 2018-2022 Measurement of benthic invertebrates, zooplankton, stamp sands and metals from four beaches near Keweenaw Bay, Lake Superior in 2021 Compilation of Geospatial Data (GIS) for the Mineral Industries of Select Countries in the Indo-Pacific Aqueous and solid phases partitioning of elemental constituents associated with Marcellus Shale Energy and Environment Laboratory (MSEEL) gas well produced wastewater, Morgantown, WV, 2016 - 2019 The major, minor, and trace element geochemistry of mineral scales from The Geysers geothermal field, California, USA Abandoned Mine Land (AML) Geochemical Data: Silver Island and Crater Island Mining Districts, UT Dissolved arsenic, copper, and lead concentrations in surface water within the Klamath Basin (ver. 4.0, April 2023) Metal concentrations in streambed sediment in the lower Klamath River basin, 2018-2022 Tools for use in Oregon with the Stochastic Empirical Loading Dilution Model Stochastic Empirical Loading and Dilution Model in MS Access Excel spreadsheet used for calculating hydrograph recession values use in the Stochastic Empirical Loading Dilution Model Excel spreadsheet used for calculating highway site characteristics for use in the Stochastic Empirical Loading Dilution Model Guidance document for using the Stochastic Empirical Loading Dilution Model Excel spreadsheet used for calculating hydrograph recession parameter statistics used in the Stochastic Empirical Loading Dilution Model Excel spreadsheet finding individual storms for use in the Stochastic Empirical Loading Dilution Model R programming code for analyzing output from the Stochastic Empirical Loading Dilution Model Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of the People's Republic of China Alaska Geochemical Database Version 4.0 (AGDB4) including best value data compilations for rock, sediment, soil, mineral, and concentrate sample media Compilation of Geospatial Data (GIS) for the Mineral Industries of Select Countries in the Indo-Pacific