MiniCatalog of map data
A brief catalog of the types of maps published by the U.S. Geological Survey.
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A brief catalog of the types of maps published by the U.S. Geological Survey.
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High-resolution airborne thermal infrared (TIR) imagery data were collected over 90.6 km 2 (35 mi 2 ) of remote and rugged terrain in the Kettle Creek and Cooks Run Basins, tributaries of the West Branch of the Susquehanna River in north-central Pennsylvania. The purpose of this investigation was to evaluate the effectiveness of TIR for identifying sources of acid mine drainage (AMD) associated with abandoned coal mines. Coal mining from the late 1800s resulted in many AMD sources from abandoned mines in the area. However, very little detailed mine information was available, particularly on the source locations of AMD sites. Potential AMD sources were extracted from airborne TIR data employing custom image processing algorithms and GIS data analysis. Based on field reconnaissance of 103 TIR anomalies, 53 sites (51%) were classified as AMD. The AMD sources had low pH (<4) and elevated concentrations of iron and aluminum. Of the 53 sites, approximately 26 sites could be correlated with sites previously documented as AMD. The other 27 mine discharges identified in the TIR data were previously undocumented. This paper presents a summary of the procedures used to process the TIR data and extract potential mine drainage sites, methods used for field reconnaissance and verification of TIR data, and a brief summary of water-quality data.
Previously published K-Ar age determinations for the middle to late Tertiary San Juan volcanic field have been recalculated using the 1977 IUGS constants. Revised ages, original analytical data, and brief sample descriptions are presented in table 2 for all available dated volcanic units. A generalized stratigraphic column is also included to facilitate comparison of the ages of major volcanic events among more recent publications and previously published papers. No attempt has been made to assess the validity of individual K-Ar ages and, for the purpose of interpretation, the reader is referred to the original source.
We use stratigraphic relations, paleoflow data, and 40 Ar/ 39 Ar dating to interpret net aggradation, punctuated by at least two minor incisional events, along part of the upper ancestral Rio Grande fluvial system between 5.5 and 4.5 Ma (in northern New Mexico). The studied fluvial deposits, which we informally call the Sandlin unit of the Santa Fe Group, overlie a structural high between the San Luis and Española Basins. The Sandlin unit was deposited by two merging, west- to southwest-flowing, ancestral Rio Grande tributaries respectively sourced in the central Taos Mountains and southern Taos Mountains-northeastern Picuris Mountains. The river confluence progressively shifted southwestward (downstream) with time, and the integrated river (ancestral Rio Grande) flowed southwards into the Española Basin to merge with the ancestral Rio Chama. Just prior to the end of the Miocene, this fluvial system was incised in the southern part of the study area (resulting in an approximately 4–7 km wide paleovalley), and had sufficient competency to transport cobbles and boulders. Sometime between emplacement of two basalt flows dated at 5.54± 0.38 Ma and 4.82±0.20 Ma (groundmass 40 Ar/ 39 Ar ages), this fluvial system deposited 10–12 m of sandier sediment (lower Sandlin subunit) preserved in the northern part of this paleovalley. The fluvial system widened between 4.82±0.20 and 4.50±0.07 Ma, depositing coarse sand and fine gravel up to 14 km north of the present-day Rio Grande. This 10–25 m-thick sediment package (upper Sandlin unit) buried earlier south- to southeast-trending paleovalleys (500–800 m wide) inferred from aeromagnetic data. Two brief incisional events are recognized. The first was caused by the 4.82±0.20 Ma basalt flow impounding south-flowing paleodrainages, and the second occurred shortly after emplacement of a 4.69±0.09 Ma basalt flow in the northern study area. Drivers responsible for Sandlin unit aggradation may include climate-modulated hydrologic factors (i.e., variable sediment supply and water discharge) or a reduction of eastward tilt rates of the southern San Luis Basin half graben. If regional in extent, these phenomena could also have promoted fluvial spillover that occurred in the southern Albuquerque Basin at about 6–5 Ma, resulting in southward expansion of the Rio Grande to southern New Mexico.
The Red Hill Bulk Fuel Storage Facility, operated by the U.S. Navy and located in the Hālawa area, Oʻahu, Hawaiʻi, includes 20 underground storage tanks that can hold a total of 250 million gallons of fuel. In January 2014, the U.S. Navy notified the Hawaiʻi Department of Health and U.S. Environmental Protection Agency of release of an estimated 27,000 gallons of fuel from the Red Hill Bulk Fuel Storage Facility. In response to past and potential future fuel releases, data are needed to evaluate groundwater flow in the surrounding area. During July 2017–February 2018, the U.S. Geological Survey collected groundwater-level data at 24 sites near the Red Hill Bulk Fuel Storage Facility. At 14 of the 24 sites, groundwater-temperature data were also collected, and at 6 of the 24 sites, barometric-pressure data were collected. During the data-collection period, a regional aquifer test was conducted in coordination with the operators of three production wells in the area. The recorded water-level changes in response to planned withdrawal changes during December 2017–February 2018 can be used to improve understanding of the groundwater-flow system. The scope of this report is limited to a non-interpretive presentation of the data and a brief discussion of the factors affecting the water-level data.
This paper briefly summarizes more than 470 measurements of local channel scour at bridge piers from 58 sites in 14 States. Relations between local scour and selected deterministic parameters are illustrated and discussed. Observed scour depths are compared with predicted values from two local scour prediction equations.
The U.S. Geological Survey and Nevada Division of Water Resources have cooperatively developed and implemented a data-base system for managing water-rights permit information for the State of Nevada. The Water-Rights Permit data base is part of an integrated system of computer data bases using the Ingres Relational Data-Base Manage-ment System, which allows efficient storage and access to water information from the State Engineer's office. The data base contains a main table, three ancillary tables, and five lookup tables, as well as a menu-driven system for entering, updating, and reporting on the data. This reference guide outlines the general functions of the system and provides a brief description of data tables and data-entry screens.
The U.S. Geological Survey and Nevada Division of Water Resources are cooperatively using a data base for are cooperatively using a data base for managing well-log information for the State of Nevada. The Well-Log Data Base is part of an integrated system of computer data bases using the Ingres Relational Data-Base Management System, which allows efficient storage and access to water information from the State Engineer's office. The data base contains a main table, two ancillary tables, and nine lookup tables, as well as a menu-driven system for entering, updating, and reporting on the data. This reference guide outlines the general functions of the system and provides a brief description of data tables and data-entry screens.
Forty-five analyses of ground-water quality from 42 selected wells in the McNairy-Nacatoch-Ripley and lower Wilcox aquifers of the northern Mississippi embayment have been compiled as part of the Gulf Coast Regional Aquifer System Analysis (RASA) project of the U.S. Geological Survey. Thirty-seven wells were sampled during the period October 1983 to September 1984 specifically for this RASA study; three of these wells were sampled twice. Five wells were sampled during the period January 1981 to March 1985 for other projects. All 45 analyses are included herein as a single data base that will be used for geochemical modeling of mineral saturation and mass transfer in the McNairy-Nacatoch-Ripley aquifer. The report contains two figures, six tables of data, and a brief documentation of the methods used for sample collection and analysis. The figures are maps showing locations of sampling sites for each of the two aquifers. The tables of data include (1) well descriptions and (2) concentrations of major constituents, trace constituents, dissolved gases, stable and unstable isotopes of low mass (C, H, 0, and S>, and unstable isotopes of high mass (Rn, Ra, and U).
Selected micrometeorological and soil-moisture data were collected at the Amargosa Desert Research Site adjacent to a low-level radio-active waste and hazardous chemical waste facility near Beatty, Nevada, 2001-05. Evapotranspiration data were collected from February 2002 through the end of December 2005. Data were col-lected in support of ongoing research to improve the understanding of hydrologic and contaminant-transport processes in arid environments. Micrometeorological data include solar radiation, net radiation, air temperature, relative humidity, saturated and ambient vapor pressure, wind speed and direction, barometric pressure, precipitation, near-surface soil temperature, soil-heat flux and soil-water content. All micrometeorological data were collected using a 10-second sampling interval by data loggers that output daily and hourly mean values. Daily maximum and minimum values are based on hourly mean values. Precipitation data output includes daily and hourly totals. Selected soil-moisture profiles at depth include periodic measurements of soil volumetric water-content measurements at nine neutron-probe access tubes to depths ranging from 5.25 to 29.25 meters. Evapotranspiration data include measurement of daily evapotranspiration and 15-minute fluxes of the four principal energy budget components of latent-heat flux, sensible-heat flux, soil-heat flux, and net radiation. Other data collected and used in equations to determine evapotranspiration include temperature and water content of soil, temperature and vapor pressure of air, and covariance values. Evapotranspiration and flux estimates during 15-minute intervals were calculated at a 0.1-second execution interval using the eddy covariance method. Data files included in this report contain the complete micrometeorological, soil-moisture, and evapotranspiration field data sets. These data files are presented in tabular Excel spreadsheet format. This report highlights selected data contained in the computer generated data files using figures, tables, and brief discussions. Instrumentation used for data collection also is described. Water-content profiles are shown to demonstrate variability of water content with depth. Time-series data are plotted to illustrate temporal variations in micrometeorological, soil-water content, and evapotranspiration data.
Selected micrometeorological and soil-moisture data were collected at the Amargosa Desert Research Site adjacent to a low-level radioactive waste and hazardous chemical waste facility near Beatty, Nev., 1998-2000. Data were collected in support of ongoing research studies to improve the understanding of hydrologic and contaminant-transport processes in arid environments. Micrometeorological data include precipitation, air temperature, solar radiation, net radiation, relative humidity, ambient vapor pressure, wind speed and direction, barometric pressure, soil temperature, and soil-heat flux. All micrometeorological data were collected using a 10-second sampling interval by data loggers that output daily mean, maximum, and minimum values, and hourly mean values. For precipitation, data output consisted of daily, hourly, and 5-minute totals. Soil-moisture data included periodic measurements of soil-water content at nine neutron-probe access tubes with measurable depths ranging from 5.25 to 29.75 meters. The computer data files included in this report contain the complete micrometeorological and soil-moisture data sets. The computer data consists of seven files with about 14 megabytes of information. The seven files are in tabular format: (1) one file lists daily mean, maximum, and minimum micrometeorological data and daily total precipitation; (2) three files list hourly mean micrometeorological data and hourly precipitation for each year (1998-2000); (3) one file lists 5-minute precipitation data; (4) one file lists mean soil-water content by date and depth at four experimental sites; and (5) one file lists soil-water content by date and depth for each neutron-probe access tube. This report highlights selected data contained in the computer data files using figures, tables, and brief discussions. Instrumentation used for data collection also is described. Water-content profiles are shown to demonstrate variability of water content with depth. Time-series data are plotted to illustrate temporal variations in micrometeorological and soil-water content data. Substantial precipitation at the end of an El Ni?o cycle in early 1998 resulted in measurable water penetration to a depth of 1.25 meters at one of the four experimental soil-monitoring sites.
This project was established to determine if it were possible to advance the state of the art in earthquake prediction by learning more about claims that unusual animal behavior was an earthquake precursor. We used intensive post-earthquake interview surveys to gather objective reports both of instances of unusual animal behavior as an earthquake precursor and of instances in which animals behaved normally prior to a moderate or large earthquake. We prepared briefing volumes describing the cultural significance and interpretation of seismicity for cultures other than our own with which we were likely to have contact. This information helped us assess the impact of cultural expectations on our data set. These briefing volumes are one of the work products of our project and are included in this final report. Since our goal was to increase the ability to predict earthquakes, we avoided study of earthquakes with known foreshocks since in those cases the unusual animal behavior might have resulted simply from the foreshocks. Our data indicates that unusual animal behavior occurs a few hours to a few days before some, but not most, earthquakes that do not have known foreshocks. Our studies of earthquake folklore support the same conclusion (pp 121-144 of this report). Even when unusual animal behavior is a precursor to a particular earthquake, most individual animals behave normally. This creates a signal to noise ratio that will reduce the potential for direct use of unusual -animal behavior in earthquake prediction, but the analysis of some animals reactions might help to identify physical precursors to at least some earthquakes. Each phase of this research program has produced one or more completed work products. These products, which follow, compose our final report.
Modern seismology has been able to take advantage of several technological advances. These include feedback loops in the seismometer, specialized digitizers with absolute timing, and compression formats for storing data. While all of these advances have helped to improve the field, they can also leave newcomers a bit confused. Our goal here is to give a brief overview of how recordings of seismic ground motion originate. We discuss the chain of events that are required to obtain digital data plus how these steps can be reversed to recover units of ground motion such as acceleration, velocity, or displacement. Finally, we show a few examples of data that has become compromised because of various non-ground motion signals. We hope to give a quick practical introduction to allow the reader to become familiar with the various jargon used in observational seismology.
This publication contains brief descriptions of various cartographic products and formats used by the U.S. Geological Survey.
With researchers increasingly interested in big data research, this conceptual paper describes how large datasets, secondary data, and associated analysis techniques can be used to understand outdoor recreation. Some types of large, secondary datasets that have been increasingly used in outdoor recreation research include social media, mobile device data, and trip reports or online reviews. First, we give a brief overview of big data terms and outline the steps involved in conducting big data research. In doing so, we describe data sources and analysis techniques relevant for outdoor recreation, and review how they have been applied in previous published works. We then describe opportunities, limitations, and considerations of using big data. Finally, we outline several questions researchers may consider when designing, conducting, reporting, and reviewing outdoor recreation research using big data. Overall, big data approaches can expand our understanding of outdoor recreation and, by addressing key questions, may help researchers harness the strengths of big data while ensuring quality and integrity.
Many springs and seeps discharge water from the north wall of the valley of the Snake River between Milner and Bliss, Idaho. These are fed by a large ground-water body lying east and north of the river, beneath the Snake River Plain. Much ground water is pumped on the plain, many irrigation wells having been drilled since 1946. Heavy withdrawal of ground water from wells may alter the discharge rates and regimens of the springs and may affect downstream flow of the river. For that reason, the historic record of discharge from the springs is an important part of the basis on which hydrologic changes can be determined. The records also would facilitate appraisal of the total groundwater resources of the Snake River Plain. This report brings together in a single volume all obtainable records for the period 1899-1947. The report also includes descriptive data and a brief history of work done. The springs occur in a 40-mile reach of the valley of the Snake River between Milner Dam and Bliss. Most are on the north side of the river but a few are on the south. The earliest measurements of record were made by F. S. Shirley and N. S. Dils, of the U. S. Geological Survey, in 1899. The next were by J. D. Stannard for the Idaho State Engineer and by Dils in 1902. Few measurements were made from 1903 to 1916. Somewhat more systematic measurements were made by the Geological Survey and by local agencies in 1917-20, 1923-25, and 1931, and at several intervals thereafter. In 1950 the Geological Survey began continuous, systematic measurements by installing and operating gaging stations on four representative springs and by making yearly direct measurements of all large springs. The recent records are not included in this report; they have been published yearly in a series of reports on stream discharge. The report includes lists of all published sources from which data were compiled, and cites many unpublished sources. The principal workers and agencies that have obtained records are listed also. The quality and accuracy of the compiled records, as might be expected, are not uniform, as the records were collected under varying circumstances, by many individuals, and according to changing or differing standards. The continuity is generally poor. Nevertheless, the compilation represents the base from which further work must start and is an extremely valuable record. It represents about 30 large springs and groups of springs, having discharge rates ranging from a fraction of a cubic foot per second to well over 1,000 cfs. Many smaller springs and seeps never have been measured. The fluctuation indexes for individual springs or groups range from 2 to 41 percent. The fluctuation index is the mean deviation of the discharge rate from the arithmetic mean, expressed as a percentage of the arithmetic mean. Although to some extent the indexes are a measure of the consistency of the record, they also seem to reflect actual differences in range of discharge, and they indicate that springs upstream in the Snake River valley fluctuate through a wider range than do those downstream. The fluctuations are rather slow, which reflects the equalizing influence of the large ground-water reservoir that supplies the springs.
A regionalized composition is a random vector function whose components are positive and sum to a constant at every point of the sampling region. Consequently, the components of a regionalized composition are necessarily spatially correlated. This spatial dependence-induced by the constant sum constraint-is a spurious spatial correlation and may lead to misinterpretations of statistical analyses. Furthermore, the cross-covariance matrices of the regionalized composition are singular, as is the coefficient matrix of the cokriging system of equations. Three methods of performing estimation or prediction of a regionalized composition at unsampled points are discussed: (1) the direct approach of estimating each variable separately; (2) the basis method, which is applicable only when a random function is available that can he regarded as the size of the regionalized composition under study; (3) the logratio approach, using the additive-log-ratio transformation proposed by J. Aitchison, which allows statistical analysis of compositional data. We present a brief theoretical review of these three methods and compare them using compositional data from the Lyons West Oil Field in Kansas (USA). It is shown that, although there are no important numerical differences, the direct approach leads to invalid results, whereas the basis method and the additive-log-ratio approach are comparable. ?? 1995 International Association for Mathematical Geology.