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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...
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(Hyperlink to Official Landing Page for Geospatial Fabric products) The Geospatial Fabric provides a consistent, documented, and topologically connected set of spatial features that create an abstracted stream/basin network of features useful for hydrologic modeling.The GIS vector features contained in this Geospatial Fabric (GF) data set cover the lower 48 U.S. states, Hawaii, and Puerto Rico. Four GIS feature classes are provided for each Region: 1) the Region outline ("one"), 2) Points of Interest ("POIs"), 3) a routing network ("nsegment"), and 4) Hydrologic Response Units ("nhru"). A graphic showing the boundaries for all Regions is provided at http://dx.doi.org/doi:10.5066/F7542KMD. These Regions are identical...
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Predictions of raven occurrence in the absence of anthropogenic environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.
This research examines the effects of climate change on the species composition of forests in the southern Great Lakes region in USA (Illinois, Indiana, and Ohio) by simultaneously addressing five key components necessary for realistic predictions of future forest composition. We simulated transient (1), species-level (2), forest response to climate change at a spatial scale that accounted for competitive effects (3), and regional site diversity (4), in the spatial configuration of forests within the regional landuse matrix (5). The JABOWA-II forest growth model was used to provide species-specific responses of 45 tree species to site conditions (e.g. climatic, edaphic) while accounting for competition for limited...
Growing concern about climate change and energy security has led to increasing interest in developing renewable, domestic energy sources for meeting electricity, heating and fuel needs in the United States. Illinois has significant potential to produce bioenergy crops, including corn, soybeans, miscanthus (Miscanthus giganteus), and switchgrass (Panicum virgatum). However, land requirements for bioenergy crops place them in competition with more traditional agricultural uses, in particular food production. Additionally, environmental and economic conditions, including soil quality, climate, and variable agricultural costs, vary significantly across Illinois. The intent of this study is to examine the spatial and...
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This U.S. Geological Survey (USGS) Data Release provides derivative statistics of water used by Kansas irrigators in the Kansas irrigation water-use analysis regions. The published application rate statistics from the previous 4 years (2010–13) are shown with the 2014 statistics and are used to calculate a 5-year average. The 2014 annual total precipitation and the current 30-year climatic normal (based on 1981–2010) are also shown by region. The amount of water used, irrigated acres, and application rates are further grouped by crop type. The amount of water used and irrigated acres are further grouped by irrigation method. Total reported irrigation water use in 2014 was 3.3 million acre-feet of water applied to...
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This U.S. Geological Survey (USGS) Data Release represents geospatial and tabular data on irrigation water use in Kansas. The data release was produced in compliance with open data requirements. The dataset consists of 3 separate items with similar attributes aggregated to different geographic extents: 1. Kansas counties; 2. Kansas regional planning areas used in the Kansas Water Plan; and 3. Kansas irrigation water-use analysis regions. Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates along with the published application rate statistics from the previous 4 years (2010–13) are shown with the 2014 statistics and are used to calculate a 5-year average. The 2014 annual total...
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(Hyperlink to Official Landing Page for Geospatial Fabric products) This dataset contains a set of attributes describing the "nhru" GIS features (Hydrologic Response Units)in the Geospatial Fabric Features dataset(http://dx.doi.org/doi:10.5066/F7542KMD) that have been developed in support of the USGS PRMS watershed model. These tables are organized according to Geospatial Fabric Region; see the thumbnail of the Geospatial Fabric Features Regions (https://www.sciencebase.gov/catalog/item/535edb4ae4b08e65d60fc837). Each table contains a key field, "hru_id", that can be used to relate to the nhru feature class in the Geospatial Fabric Feature dataset for the corresponding Region. The methodologies used to derive the...
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Predictions of raven occurrence in the absence of natural environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.
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(Hyperlink to Official Landing Page for Geospatial Fabric products) This dataset contains a set of attributes describing the "nhru" GIS features (Hydrologic Response Units)in the Geospatial Fabric Features dataset(http://dx.doi.org/doi:10.5066/F7542KMD) that have been developed in support of the USGS PRMS watershed model. These tables are organized according to Geospatial Fabric Region; see the thumbnail of the Geospatial Fabric Features Regions (https://www.sciencebase.gov/catalog/item/535edb4ae4b08e65d60fc837). Each table contains a key field, "hru_id", that can be used to relate to the nhru feature class in the Geospatial Fabric Feature dataset for the corresponding Region. The methodologies used to derive the...
Rising global demand for energy, high energy prices, climate change, and the threat of terrorism all point to the need for greater energy efficiency and conservation in the United States. While technological innovation is plainly needed, our laws and institutional arrangements must also play an important role. The United States has scores of legal and policy tools from which to choose to improve energy efficiency and curb energy consumption. This Article, which grows out of a Spring 2006 seminar at theWidener University School of Law, evaluates a handful of these tools: transit-oriented development; fuel taxation; real-time pricing for electricity use; public benefit funds; improving the efficiency of existing residential...
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(Hyperlink to Official Landing Page for Geospatial Fabric products) This dataset contains a set of attributes describing the "nhru" GIS features (Hydrologic Response Units)in the Geospatial Fabric Features dataset(http://dx.doi.org/doi:10.5066/F7542KMD) that have been developed in support of the USGS PRMS watershed model. These tables are organized according to Geospatial Fabric Region; see the thumbnail of the Geospatial Fabric Features Regions (https://www.sciencebase.gov/catalog/item/535edb4ae4b08e65d60fc837). Each table contains a key field, "hru_id", that can be used to relate to the nhru feature class in the Geospatial Fabric Feature dataset for the corresponding Region. The methodologies used to derive the...
This data release includes the data used to generate histograms that compared total watershed pollutant removal efficiency (TWPRE) in the two study watersheds Crystal Rock (traditional watershed) and Tributary (Trib.) 104 low impact development (LID watershed) to determine if LID BMP design offered an improved water quality benefit. Input/calibrants data used in the model (Monte Carlo) are described in the manuscript as mentioned in the list below: -BMP Name and Type: references in the manuscript -BMP Connectivity: Proprietary (derived from Montgomery County GIS Data) -BMP Drainage Areas: Proprietary (derived from Montgomery County GIS Data) -BMP Efficiency Ranges: referenced in manuscript -Baseline Pollutant Loadings:...
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(Hyperlink to Official Landing Page for Geospatial Fabric products) (Hyperlink to Official Landing Page for Geospatial Fabric products) (Hyperlink to Official Landing Page for Geospatial Fabric products) (Hyperlink to Official Landing Page for Geospatial Fabric products) This dataset contains a set of attributes describing the "nhru" GIS features (Hydrologic Response Units)in the Geospatial Fabric Features dataset(http://dx.doi.org/doi:10.5066/F7542KMD) that have been developed in support of the USGS PRMS watershed model. These tables are organized according to Geospatial Fabric Region; see the thumbnail of the Geospatial Fabric Features Regions (https://www.sciencebase.gov/catalog/item/535edb4ae4b08e65d60fc837)....


map background search result map search result map GIS Features of the Geospatial Fabric for National Hydrologic Modeling Geospatial Fabric Attribute Tables for PRMS (Preliminary) Geospatial Fabric Attribute Tables for PRMS Soils Parameters based on SSURGO (Preliminary) Geospatial Fabric Attribute Tables for PRMS Landcover Parameters based on NLCD2001 (Preliminary) Geospatial Fabric Attribute Tables for PRMS Topographic Parameters based on NHDPlus DEMs (Preliminary) Irrigation water use in Kansas, 2014 Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas irrigation water-use analysis regions (spatial and tabular data). Modern groundwater-quality, depth, and well-construction data for selected wells in the San Joaquin Valley, California, 1993-2015 Raven study site locations in the Great Basin, derived from survey locations 2007 - 2016 Predictions of raven occurrence in the absence of natural environmental effects in the Great Basin, 2007-2016 (Fig. 4A) Predictions of raven occurrence in the absence of anthropogenic environmental effects in the Great Basin, 2007-2016 (Fig. 4B) Prediction of raven occurrence intersected with high impact areas for sage-grouse populations in the Great Basin, 2007-2016 (Fig. 5A) Modern groundwater-quality, depth, and well-construction data for selected wells in the San Joaquin Valley, California, 1993-2015 Irrigation water use in Kansas, 2014 Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas irrigation water-use analysis regions (spatial and tabular data). Raven study site locations in the Great Basin, derived from survey locations 2007 - 2016 Prediction of raven occurrence intersected with high impact areas for sage-grouse populations in the Great Basin, 2007-2016 (Fig. 5A) Predictions of raven occurrence in the absence of natural environmental effects in the Great Basin, 2007-2016 (Fig. 4A) Predictions of raven occurrence in the absence of anthropogenic environmental effects in the Great Basin, 2007-2016 (Fig. 4B) GIS Features of the Geospatial Fabric for National Hydrologic Modeling Geospatial Fabric Attribute Tables for PRMS (Preliminary) Geospatial Fabric Attribute Tables for PRMS Soils Parameters based on SSURGO (Preliminary) Geospatial Fabric Attribute Tables for PRMS Landcover Parameters based on NLCD2001 (Preliminary) Geospatial Fabric Attribute Tables for PRMS Topographic Parameters based on NHDPlus DEMs (Preliminary)