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Water resources of the Park City area, Utah, with emphasis on ground water

The Park City area is a rapidly growing residential and recreational area about 30 miles east of Sal t Lake City (fig. 1). The area of study is about 140 square miles in which the principle industries are agriculture, skiing, and other recreational activities. The area once was a major lead- and silver-mining district, but no mines were active in 1984. A resumption in mining activity, however, could take place with an increase in the price of metals. The population of the Park City area is expected to increase rapidly in the near future; and the provision of an adequate water supply for the growing population, while avoiding harmful affects of development, is a major concern for local municipalities, developers, and the Utah Division of Water Rights. In addition, agricultural interests in and below the area are concerned about the effects of increased ground-water withdrawals on streamflow, which is fully appropriated by downstream users. The area also contains the proposed site for the Jordanelle dam, a part of the Bonneville unit of the central Utah Project. The damsite is near an historic mining area; and mining companies are concerned that if mining is resumed, the reservoir may create some additional dewatering problems in the mines.

Utah

Archive of bathymetry data collected at Cape Canaveral, Florida, 2014

Remotely sensed, geographically referenced elevation measurements of the sea floor, acquired by boat- and aircraft-based survey systems, were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida, for the area at Cape Canaveral. The work was conducted as part of a study to describe an updated bathymetric dataset collected in 2014 and compare it to previous data sets. The updated data focus on the bathymetric features and sediment transport pathways that connect the offshore regions to the shoreline and, therefore, are related to the protection of other portions of the coastal environment, such as dunes, that support infrastructure and ecosystems. Cape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included within its boundaries are the Cape Canaveral Air Force Station (CCAFS), NASA’s Kennedy Space Center (KSC), and a large portion of Canaveral National Seashore. The actual promontory of the modern cape falls within the jurisdictional boundaries of the CCAFS. Hydrographic survey data were collected August 18-20, 2014 ( USGS Field Activity Number 2014-324-FA ). The study covered a 20 kilometer (km) section of shoreline extending from Port Canaveral, Fla., to the northern end of the KSC property, and from the shoreline to about 2.5 km offshore. Data were acquired using both sound navigation and ranging (sonar) and light detection and ranging (lidar) systems. Two jet skis and a 17-foot (ft) outboard motor boat equipped with the USGS SANDS (System for Accurate Nearshore Depth Surveying) hydrographic system collected precision sonar data. The USGS airborne EAARL-B mapping system flown in a twin engine airplane was used to collect lidar data. The missions were synchronized so that there was temporal and spatial overlap between the sonar and lidar operations. Additional data were collected to evaluate water clarity to verify the ability of lidar to receive bathymetric returns. Both systems used differential Global Positioning System GPS and utilized the National Oceanic and Atmospheric Administration/National Geodetic Survey (NOAA/NGS) Continuously Operating Reference Station (CORS) station located at CCAFS was used as the reference station. This data series serves as an archive of processed single-beam sonar and lidar bathymetry data. Graphical Information System (GIS) data products include XYZ point bathymetry data files, a color coded bathymetry map, and interpolated bathymetry grid surface. Additional information includes an error analysis and formal Federal Geographic Data Committee (FGDC) metadata. For more information about similar projects, please visit the Barrier Island Evolution Web site.

Florida

Occurrence of bacteria in Blue Marsh Lake and selected tributaries, Berks County, Pennsylvania: September-October 2001

The Commonwealth of Pennsylvania has water-quality standards that limit the number of specific bacteria in water that is considered safe for recreational use. Bacteria such as fecal streptococci, fecal coliforms, and Escherichia coli (E. coli ) are used to assess recreational water quality because they usually live in the intestines of warm-blooded animals. Fecal indicator bacteria commonly are associated with waterborne disease-causing organisms (pathogens). These indicator bacteria are used routinely as a measure of the quality of water for recreational activities such as swimming, boating, and water skiing. If the indicator bacteria are present, effective measures could be taken to prevent the transmission or epidemic outbreak of waterborne diseases as a result of contamination of these waters from human or animal waste. Blue Marsh Lake is on Tulpehocken Creek in Berks County, Pa., and drains a largely agricultural basin. Land use in the basin is approximately 60 percent cropland, and 85 percent of the farms are livestock and poultry farms. The potential sources of fecal bacteria are: geese that inhabit the recreational areas of the lake, humans that visit the Dry Brooks Day Use Area (swimming area), and farm animals, wastewater facilities, and household septic systems in the basin (bacteria from these sources could enter the lake through tributaries). To meet the recreational water-quality standard, lake water may not have more than 200 colony-forming units (CFU) of fecal coliforms per 100 milliliters (mL). During the week of July 23, 2001, data collected by the U.S. Army Corps of Engineers (USACE) at the swimming area at Blue Marsh Lake showed concentrations of fecal coliforms in the water exceeding the standard. To determine the extent of elevated concentrations of fecal indicator bacteria, further study of the lake and selected tributaries was needed.

Pennsylvania

Traveltime characteristics of Gore Creek and Black Gore Creek, upper Colorado River basin, Colorado

In the Rocky Mountains of Colorado, major highways are often constructed in stream valleys. In the event of a vehicular accident involving hazardous materials, the close proximity of highways to the streams increases the risk of contamination entering the streams. Recent population growth has contributed to increased traffic volume along Colorado highways and has resulted in increased movement of hazardous materials, particularly along Interstate 70. Gore Creek and its major tributary, Black Gore Creek, are vulnerable to such contamination from vehicular accidents along Interstate 70. Gore Creek, major tributary of the Eagle River, drains approximately 102 square miles, some of which has recently undergone significant urban development. The headwaters of Gore Creek originate in the Gore Range in the eastern part of the Gore Creek watershed. Gore Creek flows west to the Eagle River. Beginning at the watershed boundary on Vail Pass, southeast of Vail Ski Resort, Interstate 70 parallels Black Gore Creek and then closely follows Gore Creek the entire length of the watershed. Interstate 70 crosses Gore Creek and tributaries 20 times in the watershed. In the event of a vehicular accident involving a contaminant spill into Gore Creek or Black Gore Creek, a stepwise procedure has been developed for water-resource managers to estimate traveltimes of the leading edge and peak concentration of a conservative contaminant. An example calculating estimated traveltimes for a hypothetical contaminant release in Black Gore Creek is provided. Traveltime measurements were made during May and September along Black Gore Creek and Gore Creek from just downstream from the Black Lakes to the confluence with the Eagle River to account for seasonal variability in stream discharge. Fluorometric dye injection of rhodamine WT and downstream dye detection by fluorometry were used to measure traveltime characteristics of Gore Creek and Black Gore Creek. During the May traveltime measurements, discharges ranged from 82 cubic feet per second (ft3/s) at Black Gore Creek near Minturn (U.S. Geological Survey station number 09066000) to 724 ft3/s at Gore Creek at mouth near Minturn (U.S. Geological Survey station number 09066510), whereas during the September traveltime measurements, discharges ranged from 3.6 ft3/s at Black Gore Creek near Minturn to 62 ft3/s at Gore Creek at mouth near Minturn. Cumulative traveltimes for the peak dye concentration during the May traveltime measurements ranged from 3.45 hours (site 1 to site 3) in Black Gore Creek to 2.50 hours (site 8 to site 12) in Gore Creek, whereas cumulative traveltimes for the peak dye concentration during the September traveltime measurements ranged from 15.33 hours (site 1 to site 3) in Black Gore Creek to 8.65 hours (site 8 to site 12) in Gore Creek. During the September dye injections, beaver dams on Black Gore Creek, between site 1 and the confluence with Gore Creek, substantially delayed movement of the rhodamine WT. Estimated traveltimes were developed using relations established from linear-regression methods of relating measured peak traveltime to discharge during those measurements, which were obtained at Black Gore Creek near Minturn and Gore Creek at mouth near Minturn. Resulting estimated peak traveltimes for Black Gore Creek (sites 1 to 5) ranged from 5.4 to 0.4 hour for 20 to 200 ft3/s and for Gore Creek (sites 5 to 12), 5.5 to 0.3 hour for 20 to 800 ft3/s. Longitudinal-dispersion coefficients that were calculated for selected stream reaches ranged from 17.2 square feet per second at 4 ft3/s between sites 2 and 3 to 650 square feet per second at 144 ft3/s between sites 7 and 8. Longitudinal-dispersion coefficients are necessary variables for future stream-contaminant modeling in the Gore Creek watershed.

Water-Resources Investigations Report

Groundwater-quality data in the Bear Valley and Selected Hard Rock Areas study unit, 2010: Results from the California GAMA Program

Groundwater quality in the 112-square-mile Bear Valley and Selected Hard Rock Areas (BEAR) study unit was investigated by the U.S. Geological Survey (USGS) from April to August 2010, as part of the California State Water Resources Control Board (SWRCB) Groundwater Ambient Monitoring and Assessment (GAMA) Program’s Priority Basin Project (PBP). The GAMA-PBP was developed in response to the California Groundwater Quality Monitoring Act of 2001 and is being conducted in collaboration with the SWRCB and Lawrence Livermore National Laboratory (LLNL). The BEAR study unit was the thirty-first study unit to be sampled as part of the GAMA-PBP. The GAMA Bear Valley and Selected Hard Rock Areas study was designed to provide a spatially unbiased assessment of untreated-groundwater quality in the primary aquifer system and to facilitate statistically consistent comparisons of untreated groundwater quality throughout California. The primary aquifer system is defined as the zones corresponding to the perforation intervals of wells listed in the California Department of Public Health (CDPH) database for the BEAR study unit. Groundwater quality in the primary aquifer system may differ from the quality in the shallow or deep water-bearing zones; shallow groundwater may be more vulnerable to surficial contamination. In the BEAR study unit, groundwater samples were collected from two study areas (Bear Valley and Selected Hard Rock Areas) in San Bernardino County. Of the 38 sampling sites, 27 were selected by using a spatially distributed, randomized grid-based method to provide statistical representation of the primary aquifer system in the study unit (grid sites), and the remaining 11 sites were selected to aid in the understanding of the potential groundwater-quality issues associated with septic tank use and with ski areas in the study unit (understanding sites). The groundwater samples were analyzed for organic constituents (volatile organic compounds [VOCs], pesticides and pesticide degradates, pharmaceutical compounds, and wastewater indicator compounds [WICs]), constituents of special interest (perchlorate, N-nitrosodimethylamine [NDMA], and 1,2,3-trichloropropane [1,2,3-TCP]), and inorganic constituents (trace elements, nutrients, dissolved organic carbon [DOC], major and minor ions, silica, total dissolved solids [TDS], alkalinity, and arsenic and iron species), and uranium and other radioactive constituents (radon-222 and activities of tritium and carbon-14). Isotopic tracers (of hydrogen and oxygen in water, of nitrogen and oxygen in dissolved nitrate, of dissolved boron, isotopic ratios of strontium in water, and of carbon in dissolved inorganic carbon) and dissolved noble gases (argon, helium-4, krypton, neon, and xenon) were measured to help identify the sources and ages of sampled groundwater. In total, groundwater samples were analyzed for 289 unique constituents and 8 water-quality indicators in the BEAR study unit. Quality-control samples (blanks, replicate pairs, or matrix spikes) were collected at 13 percent of the sites in the BEAR study unit, and the results for these samples were used to evaluate the quality of the data from the groundwater samples. Blank samples rarely contained detectable concentrations of any constituent, indicating that contamination from sample collection or analysis was not a significant source of bias in the data for the groundwater samples. Replicate pair samples all were within acceptable limits of variability. Matrix-spike sample recoveries were within the acceptable range (70 to 130 percent) for approximately 84 percent of the compounds. This study did not evaluate the quality of water delivered to consumers. After withdrawal, groundwater typically is treated, disinfected, and (or) blended with other waters to maintain water quality. Regulatory benchmarks apply to water that is delivered to the consumer, not to untreated groundwater. However, to provide some context for the results, concentrations of constituents measured in the untreated groundwater were compared with regulatory and non-regulatory health-based benchmarks established by the U.S. Environmental Protection Agency (USEPA) and CDPH, and to non-health-based benchmarks established for aesthetic concerns by CDPH. Comparisons between data collected for this study and benchmarks for drinking water are for illustrative purposes only and are not indicative of compliance or non-compliance with those benchmarks. All concentrations of organic and special-interest constituents from grid sites sampled in the BEAR study unit were less than health-based benchmarks. In total, VOCs were detected in 17 of the 27 grid sites sampled (approximately 63 percent), pesticides and pesticide degradates were detected in 4 grid sites (approximately 15 percent), and perchlorate was detected in 21 grid sites (approximately 78 percent). Inorganic constituents (trace elements, major and minor ions, nutrients, and uranium and other radioactive constituents) were sampled for at 27 grid sites; most concentrations were less than health-based benchmarks. Exceptions include one detection of arsenic greater than the USEPA maximum contaminant level (MCL-US) of 10 micrograms per liter (μg/L), three detections of uranium greater than the MCL-US of 30 μg/L, nine detections of radon-222 greater than the proposed MCL-US of 4,000 picocuries per liter (pCi/L), and one detection of fluoride greater than the CDPH maximum contaminant level (MCL-CA) of 2 milligrams per liter. Concentrations of inorganic constituents with non-health-based benchmarks (iron, manganese, chloride, and TDS) were less than the CDPH secondary maximum contaminant level (SMCL-CA) in most grid sites. Exceptions include two detections of iron greater than the SMCL-CA of 300 μg/L and one detection of manganese greater than the SMCL-CA of 50 μg/L.

California