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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 conditions change over time. To support that goal, long-term consistent and comparable monitoring has been conducted on streams and rivers throughout the Nation. Outside of the NAWQA project, the USGS and other Federal, State, and local agencies also have collected long-term water-quality data to support their own assessments of changing water-quality conditions. Data from these multiple sources have been combined to support...
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Northeast SJV (NESJV), Southeast SJV (SESJV), Western SJV (WSJV), and Southern SJV (SSJV). These regions were primarily defined from the California Department of Water Resources SJV groundwater subbasins (CDWR, 2003); minor modifications were made to the CDWR defined subbasin boundaries to optimize separation of groundwater derived from the Sierra Nevada to the east and from the Coast Ranges to the west under predevelopment conditions. Each region was divided into equal-area grid cells, ranging from 280 km2 in the SESJV to 984 km2 in the SSJV, for a total of 88 cells. These cell sizes were the minimum sizes in each region for which 60% of the cells in the region would contain at least 1 well with full major ion...
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This report provides a full digitization of historic groundwater-quality and depth-to-water data from Mendenhall and others (1916) Water Supply Paper 398, “Ground Water in San Joaquin Valley, California” in a modern format suitable for further analysis of California’s water supply resources. Included are geochemical data for over 400 wells collected by Mendenhall in the fall of 1910, as well as depth-to-water and well construction information from over 4000 wells compiled by his team from over 15 years of well surveys throughout the San Joaquin Valley. Additionally, these data provide geospatial and geochemical data for sampled wells in California's San Joaquin Valley (SJV) in support of the publication: Jeffrey...
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This community catalog serves, in part, to document data and analyses used in our mission to provide reliable, impartial scientific information to describe and understand the Earth; minimize loss of life and property from natural disasters; manage water, biological, energy, and mineral resources; and enhance and protect our quality of life. Data collection and interpretive studies are carried out by the New Jersey Water Science Center to support statewide water-resource infrastructure and management needs and are part of the USGS science strategy to address the water-resource priorities of the Nation and global trends in: Ecosystem status and change Climate variability and change Energy and mineral management...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error maps including the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. We used an updated version of the 2016 base training data, with a more aggressive forest mask and reduced shrub and sagebrush cover bias in pinyon-juniper woodlands. We pooled training data in areas...
Tags: AZ, Arizona, Arizona Plateau, Black Hills, Blue Mountains, All tags...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error maps including the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. We used an updated version of the 2016 base training data, with a more aggressive forest mask and reduced shrub and sagebrush cover bias in pinyon-juniper woodlands. We pooled training data in areas...
Tags: AZ, Arizona, Arizona Plateau, Black Hills, Blue Mountains, All tags...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was...
Tags: AB, AZ, Alberta, Arizona, Arizona Plateau, All tags...
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Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are largely unknown. While a number of studies have projected the impacts of climate change using several modeling approaches, none has evaluated impacts to fractional component cover at a 30-m resolution across rangelands of the Western U.S. We used fractional component cover data for rangeland functional groups and weather data from the 1985 to 2021 reference period in conjunction with soils and topography data to develop empirical models describing the spatio-temporal variation in component cover. To investigate...
Tags: AZ, Arizona, Arizona Plateau, Black Hills, Blue Mountains, All tags...
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This U.S. Geological Survey Data Release contains the associated data described in the Scientific Investigations Report, "Trends in water quality of selected streams and reservoirs used for water supply in the Triangle area of North Carolina, 1989-2013". Since 1989, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in the water-supply reservoirs and streams in the Triangle area of North Carolina located within the upper Cape Fear and Neuse River Basins. Temporal trends in water-quality were analyzed for thirteen stream and eight reservoir sites. Seventeen water-quality parameters and constituents were examined at these sites.
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Evaluating Decadal Changes in Groundwater Quality: Groundwater quality data were collected from 5,000 wells between 1988-2001 (first sampling event) by the U.S. Geological Survey’s National Water-Quality Assessment Project. Samples are collected in groups of 20-30 wells with similar characteristics called networks. About 1,500 of these wells in 67 networks were sampled about 10 years later between 2002-2012 (second sampling event) to evaluate decadal changes in groundwater quality. Between 2012 and 2014 (third sampling event), a subset of these networks has been sampled again, allowing additional results to be displayed on the web page: Decadal changes in groundwater quality. Changes to this web page are referred...
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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 2019. 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. To determine the trend in loads, the annual load results are flow normalized to integrate out the year-to-year variability...
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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 2016. 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.
Why did nuclear energy policies in France, Sweden, and the United States, very similar at the time of the oil crisis of 1973 and 1974, diverge so greatly in the following years? In answering this question, James Jasper challenges one of the most popular trends in political analysis: explanations relying exclusively on political and economic structures to account for public policies. Jasper proposes a new cultural and state-centered approach--one heeding not only structural factors but cultural meanings, individual biographies, and elite discretion. Surveying the period from the successful commercialization of light-water-reactor technology in the early 1960s to the present, he explains the events that occurred after...
The Southern Appalachian forest region of the U.S.-a region responsible for 23% of U.S. coal production-has 24 billion metric tons of high quality coal remaining of which mountaintop coal mining (MCM) will be the primary extraction method. Here we consider greenhouse gas emissions associated with MCM terrestrial disturbance in the life-cycle of coal energy production. We estimate disturbed forest carbon, including terrestrial soil and nonsoil carbon using published U.S. Environmental Protection Agency data of the forest floor removed and U.S. Department of Agriculture - Forest Service inventory data. We estimate the amount of previously buried geogenic organic carbon brought to the soil surface during MCM using...
This viewpoint reviews renewable energy development in 14 markets that differ in market structure (restructured vs. not restructured), use of feed-in-tariff (FIT) (yes vs. no), transmission planning (anticipatory vs. reactive), and transmission interconnection cost allocated to a renewable generator (high vs. low). We find that market restructuring is not a primary driver of renewable energy development. Renewable generation has the highest percent of total installed capacity in markets that use a FIT, employ anticipatory transmission planning, and have loads or end-users paying for most, if not all, of the transmission interconnection costs. In contrast, renewable developers have been less successful in markets...
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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 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 RIM watersheds.
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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 conditions change over time. To support that goal, long-term consistent and comparable monitoring has been conducted on streams and rivers throughout the Nation. Outside of the NAWQA project, the USGS also has collected long-term water-quality data to support additional assessments of changing water-quality conditions. These data have been combined to provide insight into how natural features and human activities have contributed...
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Upper Plains (UP) Region. The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, is analyzing annual peak-flow data to determine if trends are present and provide attribution of trends where possible. This dataset contains four core comma separated values (csv) files (50-year monotonic, 75-year monotonic, 50-year change point, and 75-change point). Each of the four core csv files includes the USGS gage identifier, various statistical values, primary and secondary attribution, level of evidence, and comments/citations. The comments/citations column should include any sources, in addition to the statistical values in the csv, that were needed to decide on the...
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Pacific Northwest (PNW) Region. The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, is analyzing annual peak-flow data to determine if trends are present and provide attribution of trends where possible. This dataset contains four core comma separated values (csv) files (50-year monotonic, 75-year monotonic, 50-year change point, and 75-change point). Each of the four core csv files includes the USGS gage identifier, various statistical values, primary and secondary attribution, level of evidence, and comments/citations. The comments/citations column should include any sources, in addition to the statistical values in the csv, that were needed to decide...
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This dataset contains four core comma separated values (csv) files (50-year monotonic, 75-year monotonic, 50-year change point, and 75-change point). Each of the four core csv files includes the USGS gage identifier, various statistical values, primary and secondary attribution, level of evidence, and comments/citations. The comments/citations column should include any sources, in addition to the statistical values in the csv, that were needed to decide on the correct attribution.


map background search result map search result map USGS New Jersey Water Science Center  Water-quality and streamflow datasets used in Seasonal Kendall trend tests for the Nation’s rivers and streams, 1972-2012 (input) Pesticide concentration and streamflow datasets used to evaluate pesticide trends in the Nation’s rivers and streams, 1992-2012 (output) Groundwater-quality data and ancillary data for selected wells in the San Joaquin Valley, California, 1900-2015 Regions and Equal-Area Grid Cells in the San Joaquin Valley, California (Hansen and others, 2018) Chesapeake Bay Nontidal Network 1985-2016: Annual loads Data from Decadal Change in Groundwater Quality Web Site, 1988-2014, Version 2.0 Data for trends in water quality of selected reservoirs used for water supply in the Triangle area of North Carolina, 1989-2013 Attributions for nonstationary peak streamflow records in the Upper Plains region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Pacific Northwest region, 1941-2015 and 1966-2015, and supporting information Chesapeake Bay River Input Monitoring Network 1985-2019: Short- and long-term trends Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Annual Herbaceous Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Shrub Chesapeake Bay River Input Monitoring Network 1985-2020: Monthly loads Attributions for nonstationary peak streamflow records in the Midwest region, 1941-2015 and 1966-2015, and supporting information Projections of Rangeland Fractional Component Cover Across Western US Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods Rangeland Condition Monitoring Assessment and Projection (RCMAP) Trends Fractional Component Time-Series Across Western North America from 1985-2023 Data for trends in water quality of selected reservoirs used for water supply in the Triangle area of North Carolina, 1989-2013 USGS New Jersey Water Science Center  Regions and Equal-Area Grid Cells in the San Joaquin Valley, California (Hansen and others, 2018) Groundwater-quality data and ancillary data for selected wells in the San Joaquin Valley, California, 1900-2015 Chesapeake Bay Nontidal Network 1985-2016: Annual loads Chesapeake Bay River Input Monitoring Network 1985-2019: Short- and long-term trends Chesapeake Bay River Input Monitoring Network 1985-2020: Monthly loads Attributions for nonstationary peak streamflow records in the Pacific Northwest region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Midwest region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Upper Plains region, 1941-2015 and 1966-2015, and supporting information Rangeland Condition Monitoring Assessment and Projection (RCMAP) Trends Fractional Component Time-Series Across Western North America from 1985-2023 Projections of Rangeland Fractional Component Cover Across Western US Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Annual Herbaceous Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Shrub Pesticide concentration and streamflow datasets used to evaluate pesticide trends in the Nation’s rivers and streams, 1992-2012 (output) Data from Decadal Change in Groundwater Quality Web Site, 1988-2014, Version 2.0 Water-quality and streamflow datasets used in Seasonal Kendall trend tests for the Nation’s rivers and streams, 1972-2012 (input)