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The Conservation Opportunity Areas (COAs) for Tennessee capture populations of GCN species and high quality habitats, and as appropriate, define the geographically relevant framework for achieving conservation outcomes. The COAs currently designed for Tennessee are large geographies, with the expectation that further prioritization and goal setting for specific habitat outcomes can be achieved within them through collaborations with partners on shared objectives. While designing the COAs for Tennessee, the planning team considered three major attributes: GCN habitat priority, the problems affecting the habitats, and the on-the-ground opportunities to implement conservation actions.
This data provides an estimated raster surface of dissolved oxygen values across a region covered by an August 23, 2016 AUV survey. The raster was generated by using a natural neighbors interplator within a GIS on the empirical data set. This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the interpolated dissolved oxygen surface, an xml file which contains metadata, and a layer file which can be used to import the layer's symbology.
Groundwater quality data were collected in 5,000 wells between 1988-2001 by the National Water-Quality Assessment Project. About 1,500 of these wells were sampled again between 2002-2012 to evaluate decadal changes in groundwater quality. Monitoring wells, domestic supply wells, and some public supply wells were included in this study. All water was collected prior to treatment. Groundwater samples used to evaluate decadal change were collected from networks of wells with similar characteristics. Some networks, consisting of domestic or public supply wells, were used to assess changes in the quality of groundwater used for drinking water supply. Other networks, consisting of monitoring wells, assessed changes in...
Water quality and optical absorbance data for groundwater samples collected during 2010 to 2012 from select Principal Aquifers of the United States
Water quality and optical absorbance data for journal article entitled, "The removal kinetics of dissolved organic matter and the optical clarity of groundwater" by Francis H. Chapelle, Yuan Shen, Eric W. Strom, and Ronald Benner. Hydrogeology Journal. In Press.
Macroinvertebrate and water quality data from the Prairie Pothole Region of the Williston Basin (2014-2016)
These datasets contain aquatic macroinvertebrate and water quality data collected from 159 wetlands in Montana and North Dakota within the Prairie Pothole Region of the Williston Basin.
Pesticide concentration and streamflow datasets used to evaluate pesticide trends in the Nation’s rivers and streams, 1992-2012 (input)
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...
Modeling and Projecting the Influence of Climate Change on Texas Surface Waters and their Aquatic Biotic Communities
Water scarcity is a growing concern in Texas, where surface water is derived almost entirely from rainfall. Changes in air temperature and precipitation patterns associated with global climate change are anticipated to regionally affect the quality and quantity of inland surface waters and consequently their suitability as habitat for freshwater life. In addition to directly affecting resident organisms and populations, these changes in physicochemical traits of aquatic habitats may favor the establishment of harmful invasive species. As conflicts over the use of water resources grow in intensity, this information will become important for fish and wildlife managers to anticipate impacts of climate change on trust...
Conclusions:Wetland extent, proximity of wetlands to the sampling station, and the position of a wetland in a watershed (downstream wetlands have greater influence on water quality) influence water quality.Thresholds/Learnings:
Conclusions:Variability in buffer width across a landscape has important effects on landscape discharge. A variable- width buffer retains less material than a uniform-width buffer of equivalent average width.Thresholds/Learnings:
Statistical Analysis of Drinking Water Treatment Plant Costs, Source Water Quality, and Land Cover Characteristics
Conclusions:Study found statistically significant relationships among source water quality, percent land cover, and drinking water treatment cost. Increased percent agriculture and urban cover were significantly related to decreased water quality, while decreased forest land cover was significantly related to decreased water quality. High percent land cover by non-forest vegetation was significantly related to low treatment cost.Thresholds/Learnings:
This feature contains a spatial representation of streams and stream segments with water quality information from Oregonâs 2010 Integrated Report Assessment Database and 303(d) List as approved by EPA on March 15, 2012. This feature should be used in conjunction with the feature ORLakesWaterQuality_2010. A water body may have assessment information for multiple pollutants or conditions, and may have multiple data records associated with the spatial representation of the water body or segment of the water body. Oregonâs 2010 Integrated Report Assessment Database and 303(d) List are available on-line at http://www.deq.state.or.us/wq/assessment/rpt2010/search.asp. The on-line searchable database should be used...
Data collected in 2008-2014 to assess nearshore subtidal community responses to increased sediment load during removal of the Elwha River dams, Washington State, USA
Data are time series of substrate grain size, remotely sensed water column turbidity, and measures of abundance (e.g., density, percent cover) of the nearshore subtidal (3-17 m depth) benthic community (vegetation, invertebrates, and fish) collected before (2008-2011) and during dam removal (2012-2014).
Sediment-quality and water-toxicity data from 10 sites on the Westside Creeks and San Antonio River, San Antonio, Texas, 2014
Sediment samples and samples for water-toxicity testing were collected during 2014 from several streams in San Antonio, Texas known locally as the Westside creeks (Alazán, Apache, Martínez, and San Pedro Creeks) and from the San Antonio River. Samples were collected once during base-flow and again after periods of storm-water runoff (post-storm conditions) to determine baseline sediment- and water-quality conditions. Streambed-sediment samples were analyzed for selected constituents, including trace elements and organic contaminants such as pesticides, polychlorinated biphenyls (PCBs), brominated flame retardants, and polycyclic aromatic hydrocarbons (PAHs).
Nearshore Water Quality Collected on Lake Erie on June 24, 2015, August 11, 2015, and August 19, 2015
This data release supports the following publication: Hittle, Elizabeth, 2017, Longshore water-current velocity and the potential for transport of contaminants: A pilot study in Lake Erie from Walnut Creek to Presque Isle State Park Beaches, Erie, Pennsylvania, June and August 2015: U.S. Geological Survey Open-File Report 2016–1206 126 p., https://doi.org/10.3133/ofr20161206 Water-quality grab samples were collected about a meter from shore and coincide with the 25 longshore water-current velocity transects as closely as conditions would allow. Nearshore water-quality grab samples were collected on June 24, August 11, and August 19, 2015. Samples were analyzed for bacteria concentration, temperature, specific condictivity,...
Appendix 2 - Analytical results for blanks collected from October 2013 through September 2015 during surface-water sampling at the Triangle Area Supply Monitoring Project study sites, North Carolina
The dataset contains the analytical results for quality-control samples collected during the surface-water sampling for the Triangle Area Water Supply Monitoring Project. The data are sampling-vehicle (ambient) blanks and field blanks collected during October 2013 through September 2015. Several study sites contained in this dataset were sampled for other USGS projects during the same time frame. Unless the quality-control samples at these sites were collected in conjunction with the Triangle Area Water Supply Monitoring Project, the data for other projects are not included in the dataset.
Ecological Focus Areas (EFA), geographically explicit areas in which to address conservation issues, represent landscapes where conservation actions can be applied for maximum benefit to all Kansas wildlife. Each EFA includes a suite of SGCN and priority habitats and a unique set of conservation actions designed to address the specific resource concerns facing these species and habitats. Each EFA also includes one or more protected areas that can serve as demonstration sites for conservation actions.
Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14
This data release contains environmental and quality control results for chemical, biological, and physical sampling of water and bed sediment from Albemarle Sound and associated tributaries between 2012 and 2014 referenced in USGS OFR 2016-1171. Appendix 1 contains all quality control results to characterize the bias and variability of sampling, handling, and analysis of water, phytoplankton, and bed sediment samples. Appendix 2 contains all the chemical, biological, and physical results for water samples collected in July and August of 2012. Appendix 3 contains all the chemical, biological, and physical results for water samples collected from March 2013 to February 2014. Data are included for discrete samples...
Modern groundwater-quality, depth, and well-construction data for selected wells in the San Joaquin Valley, California, 1993-2015
Groundwater-quality data collected between 1993 and 2015 were compiled from the U.S. Geological Survey (USGS) National Water Information System (NWIS) database for 722 wells in the San Joaquin Valley (SJV). Groundwater-quality data retrieved included lab analyses of complete major ion data (calcium, magnesium, sodium, potassium, chloride, sulfate, nitrate, alkalinity, bicarbonate, carbonate, silica, and TDS) for 613 samples, and an additional 109 samples with measured values of specific conductance. Most of these wells were sampled as part of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project or the USGS National Water Quality Assessment (NAWQA) Program. In addition...
Datasets to reproduce the exploratory Bayesian network developed in USGS SIR 2018-5053 for estimating water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, 1973-2016
This U.S. Geological Survey (USGS) data release contains the data used in the USGS Scientific Investigations Report 2018-5053 entitled "An exploratory Bayesian network for estimating the magnitudes and uncertainties of selected water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, from partially observed data." The four datasets, which contain only ASCII characters in a column-oriented format, are: (1) sel_qw_parm_full_time_series.csv: A comma-delimited file containing an irregular time series of 713 rows of discrete water-quality measurements that start on February 21, 1973 and end on September 14, 2016. (2) baye_network_initialize.cas: This tab-delimited file can be used to initialize...
USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 8-digit Hydrologic 19020401 (published 20180814)
The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated set of geospatial data layers, including the best available National Hydrography Dataset (NHD), the 10-meter 3D Elevation Program Digital Elevation Model (3DEP DEM), and the National Watershed Boundary Dataset (WBD). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to create a stream network with linear referencing, feature naming, "value added attributes" (VAAs), elevation-derived catchments, and other features for hydrologic data analysis. The stream network with linear referencing is a system of data relationships applied to hydrographic systems so that one stream reach "flows" into another and "events" can be tied to and traced...