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Nonpoint source pollution is the leading cause of the U.S.’s water quality problems. One important component of nonpoint source pollution control is an understanding of what and how watershed-scale conditions influence ambient water quality. This paper investigated the use of spatial regression to evaluate the impacts of watershed characteristics on stream NO3NO2-N concentration in the Cedar River Watershed, Iowa. An Arc Hydro geodatabase was constructed to organize various datasets on the watershed. Spatial regression models were developed to evaluate the impacts of watershed characteristics on stream NO3NO2-N concentration and predict NO3NO2-N concentration at unmonitored locations. Unlike the traditional ordinary...
Conclusions:Report synthesizes scientific, planning, and policy-related aspects on the importance of land conservation in areas producing water for potable uses, including watersheds and aquifers. One critical finding indicated that if there is more forest cover in a watershed, water treatment costs are lower.Thresholds/Learnings:For every 10% increase in forest cover in the source area, treatment and chemical costs decreased by about 20%, up to about 60% forest cover. Treatment costs level off when forest cover is between 70-100%.
Description of Work Since 2010, connecting channels have been included in each of the Great Lakes’ Lake Management Plans (LaMPs). Lake Ontario now includes both the Niagara River and the St. Lawrence River. The Niagara River is well characterized by a number of long-term programs, but because of the lack of tributary water-quality data, the St. Lawrence River and its tributaries constitute a data gap in the information needed for the Lake Ontario to fulfill its goals. Critical information needs, including basic water-quality parameters, total suspended solids, nutrients and flow data. These data are needed to aid in the identification of sources of nutrient and sediment loading to the St. Lawrence. The monitoring...
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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...
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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...
Types: Citation; Tags: geographic information systems, National Hydrography Dataset (NHD), watersheds, geoscientific, geospatial analysis, All tags...
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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 nine Chesapeake Bay River Input Monitoring (RIM) stations for the period 1985 through 2015. 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...
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The flow of nutrients into coastal waters from land-based sources has seen a worldwide increase over the last decades. The resulting change in water quality has many potential impacts on coastal and marine ecosystems. Phosphorus and nitrogen contribute to enhanced algae growth, and subsequent decomposition reduces oxygen availability to benthic sea creatures like fish, shell fish, and crustaceans. Changes to nutrient loadings can also change the phytoplankton species composition and diversity. In extreme cases, eutrophication can lead to hypoxia—oxygen-depleted “dead zones”—and harmful algal blooms. Measuring chlorophyll concentrations as an indicator of algae biomass may provide one tool to assess coastal water...
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The dataset contains the environmental data collected for the Triangle Area Water Supply Monitoring Project. The data are from the samples collected during routine and storm-runoff sampling events 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 samples at these sites were collected in conjunction with the Triangle Area Water Supply Monitoring Project, the data for other projects at these sites are not included in this dataset.
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This dataset contains stream-stage data for Santa Cruz River at Tumacácori Downstream Site (SC11). The pressure transducer was mounted to a metal post secured in the stream near the left bank. The data were recorded using non-vented Solinst Levelogger for the period of June 16, 2016 to June 24, 2016. The data were logged continuously at a 15-minute interval and manually downloaded. Data were then corrected with the atmospheric pressure collected from a Solinst Barologger located at SC14. The data was processed and analyzed for erroneous data.
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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...
Types: Citation; Tags: McLean County, geographic information systems, National Hydrography Dataset (NHD), watersheds, geoscientific, All tags...
This paper evaluates the economic and environmental impacts of three alternative landscape scenarios created by a team of landscape architects, following input from an interdisciplinary team of researchers. In the first scenario, the main objective was to increase production and profitability of commercial agriculture with environmental objectives given secondary weight. In the second scenario, water quality improvements were the main objective with secondary objectives being financial health of the agricultural sector and maintenance and restoration of biodiversity. In the third scenario, maintenance and restoration of native biodiversity was the main objective with secondary weight given to the financial health...
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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...
Types: Citation; Tags: Musselshell County, geographic information systems, National Hydrography Dataset (NHD), Dawson County, watersheds, All tags...
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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...
Types: Citation; Tags: Benton County, geographic information systems, National Hydrography Dataset (NHD), Webster County, Wright County, All tags...
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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...
Types: Citation; Tags: Benton County, geographic information systems, National Hydrography Dataset (NHD), watersheds, geoscientific, All tags...
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Arsenic concentrations from 20,450 domestic wells in the U.S. were used to develop a logistic regression model of the probability of having arsenic > 10 µg/L (“high arsenic”), which is presented at the county, state, and national scales. Variables representing geologic sources, geochemical, hydrologic, and physical features were among the significant predictors of high arsenic. For U.S. Census blocks, the mean probability of arsenic > 10 µg/L was multiplied by the population using domestic wells to estimate the potential high-arsenic domestic-well population. Approximately 44.1 M people in the U.S. use water from domestic wells. The population in the conterminous U.S. using water from domestic wells with predicted...


map background search result map search result map Modeling and Projecting the Influence of Climate Change on Texas Surface Waters and their Aquatic Biotic Communities Global annual coastal chlorophyll-A concentrations (2001) USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for HU4-0203 (Subregion) Publication Date 20170608 HU-4 Subregion Appendix 1. Water-quality data for surface-water samples collected from October 2013 through September 2015 at the Triangle Area Water Supply Monitoring Project study sites, North Carolina Stream-stage Dataset at Santa Cruz River at Tumacacori Downstream Site, geographic NAD83 (Water Year 2016) USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for HU4-1010 (Subregion) Publication Date 20170814 HU-4 Subregion USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for HU4-1029 (Subregion) Publication Date 20170814 HU-4 Subregion USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for HU4-1030 (Subregion) Publication Date 20170814 HU-4 Subregion Probability of arsenic concentrations greater than 10 micrograms per liter in groundwater used by domestic wells in the United States USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for HU4-0901 (Subregion) Publication Date 20170907 HU-4 Subregion Chesapeake Bay Nontidal Network 2005-2014: Average Yields Stream-stage Dataset at Santa Cruz River at Tumacacori Downstream Site, geographic NAD83 (Water Year 2016) Appendix 1. Water-quality data for surface-water samples collected from October 2013 through September 2015 at the Triangle Area Water Supply Monitoring Project study sites, North Carolina USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for HU4-0203 (Subregion) Publication Date 20170608 HU-4 Subregion USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for HU4-1030 (Subregion) Publication Date 20170814 HU-4 Subregion USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for HU4-1029 (Subregion) Publication Date 20170814 HU-4 Subregion USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for HU4-1010 (Subregion) Publication Date 20170814 HU-4 Subregion USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for HU4-0901 (Subregion) Publication Date 20170907 HU-4 Subregion Chesapeake Bay Nontidal Network 2005-2014: Average Yields Modeling and Projecting the Influence of Climate Change on Texas Surface Waters and their Aquatic Biotic Communities Probability of arsenic concentrations greater than 10 micrograms per liter in groundwater used by domestic wells in the United States Global annual coastal chlorophyll-A concentrations (2001)