Skip to main content
Advanced Search

Filters: partyWithName: U.S. Geological Survey - ScienceBase (X) > partyWithName: Todd M Preston (X)

55 results (59ms)   

View Results as: JSON ATOM CSV
thumbnail
Shallow subsurface electrical conductivity was mapped at Ward National Wildlife Refuge (NWR) in northeast Montana using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2017. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 15 line-kilometers (km) of data were acquired over an area of approximately .5 square-kilometers. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey path;...
thumbnail
The surface water water-quality data were compiled from Water Quality Portal (https://www.waterqualitydata.us/) (National Water Quality Monitoring Council, 2015), USGS’s NAWQA Project’s data compilation (Oelsner and others, 2017) or the Montana Bureau of Mines and Geology (Montana Bureau of Mines, 2021), The compilation contains data for chloride, pH, specific conductance, sulfate, total dissolved solids (TDS) collected between water year 1970 to 2014. In addition 10 metals (aluminum, arsenic, barium, chromium, copper, iron, lead, selenium strontium, and zinc) analyzed during water years 1993 through 2014. National Water-Quality Monitoring Council, 2015, Water Quality Portal: National Water-Quality Monitoring Council,...
thumbnail
A set of comma-separated value tables containing data for streamflow, water quality, surface-water features, and produced waters in the energy development area of the Williston Basin in eastern Montana, western North Dakota, and northwest South Dakota.
This folder contains the orthoimagery, digital elevation model (DEM), digital terrain model (DTM), final surface model, and vegetation classification model for basin A1.
This folder contains the orthoimagery, digital elevation model (DEM), digital terrain model (DTM), final surface model (SRF), and vegetation classification model (Veg) for basin B1.
thumbnail
Shallow subsurface electrical conductivity was mapped at Goose Lake National Wildlife Refuge (NWR) in northeast Montana using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2017. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 15 line-kilometers (km) of data were acquired over an area of approximately 1 square-kilometer. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey...
thumbnail
Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources are described in terms of characteristics of the groundwater; streams and rivers; and lakes, reservoirs, and wetlands of the area in terms of physical occurrence, flow characteristics, water quality, and water use.
thumbnail
Shallow subsurface electrical conductivity was mapped at Norman Lake National Wildlife Refuge (NWR) in northwest North Dakota using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2018. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 41 line-kilometers (km) of data were acquired over an area of approximately 2 square-kilometers. At this survey location, the 4m transmitter-receiver horizontal co-panar and perpendicular coil orientations did not function due to equipment malfunction. Data were manually edited to remove sensor dropouts,...
thumbnail
The lake and reservoir water-quality data were compiled from Water Quality Portal (https://www.waterqualitydata.us/) (National Water Quality Monitoring Council, 2015), USGS’s NAWQA Project’s data compilation (Oelsner and others, 2017) and the Montana Bureau of Mines and Geology (Montana Bureau of Mines, 2021), The compilation contains data for chloride, pH, specific conductance, sulfate, total dissolved solids (TDS) collected between water year 1970 to 2014. In addition 10 metals (aluminum, arsenic, barium, chromium, copper, iron, lead, selenium strontium, and zinc) analyzed during water years 1993 through 2014. National Water-Quality Monitoring Council, 2015, Water Quality Portal: National Water-Quality Monitoring...
thumbnail
Shallow subsurface electrical conductivity was mapped at Medwell National Wildlife Refuge (NWR) in northeast Montana using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2017. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 9 line-kilometers (km) of data were acquired over an area of approximately 1 square-kilometer. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey path;...
thumbnail
Shallow subsurface electrical conductivity was mapped at Anderson National Wildlife Refuge (NWR) in northeast Montana using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2017. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 25 line-kilometers (km) of data were acquired over an area of approximately 1 square-kilometer. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey path;...


map background search result map search result map Results of water resource data aggregations within areas of energy development in the Williston Basin in Montana, North Dakota, and South Dakota Anderson NWR, Montana, 2017 Goose Lake NWR, Montana, 2017 Ward NWR, Montana, 2017 Norman Lake NWR, North Dakota, 2018 Medwell NWR, Montana, 2017 Orthoimagery for basin A1 Digital elevation model (DEM) for basin A1 Digital terrain model (DTM) for basin A1 Final surface model (SRF) for basin A2 Orthoimagery for basin B1 Vegetation classification model (Veg) for basin B1 Orthoimagery for basin B2 Digital elevation model (DEM) for basin B2 Final surface model (SRF) for basin B2 Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water Resources tables 1-1 to 1-3, 2-1 to 2-6, and 3-1 to 3-32, and figure 1-1 Surface water water-quality data for select constituents in Williston Basin, Montana, North Dakota, and South Dakota for water years 1970-2014 Lake water-quality data for select constituents in Williston Basin, Montana, North Dakota, and South Dakota for water years 1970-2014 Medwell NWR, Montana, 2017 Ward NWR, Montana, 2017 Anderson NWR, Montana, 2017 Goose Lake NWR, Montana, 2017 Norman Lake NWR, North Dakota, 2018 Results of water resource data aggregations within areas of energy development in the Williston Basin in Montana, North Dakota, and South Dakota Surface water water-quality data for select constituents in Williston Basin, Montana, North Dakota, and South Dakota for water years 1970-2014 Lake water-quality data for select constituents in Williston Basin, Montana, North Dakota, and South Dakota for water years 1970-2014 Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water Resources tables 1-1 to 1-3, 2-1 to 2-6, and 3-1 to 3-32, and figure 1-1