Streamflow statistics, such as the 1-percent flood, the mean flow, and the 7-day 10-year low flow, are used by engineers, land managers, biologists, and many others to help guide decisions in their everyday work. For example, estimates of the 1-percent flood (the flow that is exceeded, on average, once in 100 years and has a 1-percent chance of being exceeded in any year, sometimes referred to as the 100-year flood) are used to create flood-plain maps that form the basis for setting insurance rates and land-use zoning. This and other streamflow statistics also are used for dam, bridge, and culvert design; water-supply planning and management; water-use appropriations and permitting; wastewater and industrial discharge permitting; hydropower facility design and regulation; and the setting of minimum required streamflows to protect freshwater ecosystems. In addition, researchers, planners, regulators, and others often need to know the physical and climatic characteristics of the drainage basins (basin characteristics) and the influence of human activities, such as dams and water withdrawals, on streamflow upstream from locations of interest to understand the mechanisms that control water availability and quality at those locations. Knowledge of the streamflow network and downstream human activities also is necessary to adequately determine whether an upstream activity, such as a water withdrawal, can be allowed without adversely affecting downstream activities.
Streamflow statistics could be needed at any location along a stream. Most often, streamflow statistics are needed at ungaged sites, where no streamflow data are available to compute the statistics. At U.S. Geological Survey (USGS) streamflow data-collection stations, which include streamgaging stations, partial-record stations, and miscellaneous-measurement stations, streamflow statistics can be computed from available data for the stations. Streamflow data are collected continuously at streamgaging stations. Streamflow measurements are collected systematically over a period of years at partial-record stations to estimate peak-flow or low-flow statistics. Streamflow measurements usually are collected at miscellaneous-measurement stations for specific hydrologic studies with various objectives.
StreamStats is a Web-based Geographic Information System (GIS) application (fig. 1) that was created by the USGS, in cooperation with Environmental Systems Research Institute, Inc. (ESRI)1, to provide users with access to an assortment of analytical tools that are useful for water-resources planning and management. StreamStats functionality is based on ESRI's ArcHydro Data Model and Tools, described on the Web at http://support.esri.com/index.cfm?fa=downloads.dataModels.filteredGateway&dmid=15. StreamStats allows users to easily obtain streamflow statistics, basin characteristics, and descriptive information for USGS data-collection stations and user-selected ungaged sites. It also allows users to identify stream reaches that are upstream and downstream from user-selected sites, and to identify and obtain information for locations along the streams where activities that may affect streamflow conditions are occurring. This functionality can be accessed through a map-based user interface that appears in the user’s Web browser (fig. 1), or individual functions can be requested remotely as Web services by other Web or desktop computer applications. StreamStats can perform these analyses much faster than historically used manual techniques.
StreamStats was designed so that each state would be implemented as a separate application, with a reliance on local partnerships to fund the individual applications, and a goal of eventual full national implementation. Idaho became the first state to implement StreamStats in 2003. By mid-2008, 14 states had applications available to the public, and 18 other states were in various stages of implementation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20083067","usgsCitation":"Ries, K.G., III, Guthrie, J.D., Rea, A.H., Steeves, P.A., Stewart, D.W., 2008, StreamStats: A water resources web application: U.S. Geological Survey Fact Sheet 2008-3067, 6 p.","productDescription":"6 p.","onlineOnly":"Y","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":124592,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3067.jpg"},{"id":347702,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2008/3067/pdf/fs-2008-3067-508.pdf","text":"Report","size":"716 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2008-3067"}],"contact":"StreamStats
MD-DE-DC Water Science Center
U.S. Geological Survey
5522 Research Park Drive
Baltimore, MD 21228
From July 31 to August 1, 2006, an unusual set of atmospheric conditions aligned to produce record floods and an unprecedented number of slope failures and debris flows in southeastern Arizona. During the week leading up to the event, an upper-level low-pressure system centered over New Mexico generated widespread and locally heavy rainfall in southeastern Arizona, culminating in a series of strong, mesoscale convective systems that affected the region in the early morning hours of July 31 and August 1. Rainfall from July 27 through 30 provided sufficient antecedent moisture that the storms of July 31 through August 1 resulted in record streamflow flooding in northeastern Pima County and eastern Pinal County. The rainfall caused at least 623 slope failures in four mountain ranges, including more than 30 near Bowie Mountain in the northern Chiracahua Mountains, and 113 at the southern end of the Huachuca Mountains within and adjacent to Coronado National Memorial.
In the Santa Catalina Mountains north of Tucson, 435 slope failures spawned debris flows on July 31 that, together with flood runoff, damaged structures and roads, affecting infrastructure within Tucson’s urban boundary. Heavy, localized rainfall in the Galiuro Mountains on August 1, 2006, resulted in at least 45 slope failures and an unknown number of debris flows in Aravaipa Canyon. In the southern Santa Catalina Mountains, the maximum 3-day precipitation measured at a climate station for July 29-31 was 12.04 in., which has a 1,200-year recurrence interval. Other rainfall totals from late July to August 1 in southeastern Arizona also exceeded 1,000-year recurrence intervals. The storms produced floods of record along six watercourses, and these floods had recurrence intervals of 100-500 years. Repeat photography suggests that the spate of slope failures was historically unprecedented, and geologic mapping and cosmogenic dating of ancient debris-flow deposits indicate that debris flows reaching alluvial fans in the Tucson basin are extremely rare events. Although recent watershed changes—particularly the impacts of recent wildland fires—may be important locally, the record number of slope failures and debris flows were related predominantly to extreme precipitation, not other factors such as fire history.
The large number of slope failures and debris flows in an area with few such occurrences historically underscores the rarity of this type of meteorological event in southeastern Arizona. Most slope failures appeared to be shallow-seated slope failures of colluvium on steep slopes that caused deep scour of chutes and substantial aggradation of channels downstream. In the southern Santa Catalina Mountains, we estimate that 1.5 million tons of sediment were released from slope failures into the channels of ten drainage basins. Thirty-six percent of this sediment (527,000 tons) is gravel-sized or smaller and is likely to be transported by streamflow out of the mountain drainages and into the drainage network of metropolitan Tucson. This sediment poses a potential flood hazard by reducing conveyance in fixed-section flood control structures along Rillito Creek and its major tributaries, although our estimates suggest that deposition may be small if it is distributed widely along the channel, which is expected.
Using the stochastic debris-flow model LAHARZ, we simulated debris-flow transport from slope failures to the apices of alluvial fans flanking the southern Santa Catalina Mountains. Despite considerable uncertainty in applying coefficients developed from worldwide observations to conditions in the southern Santa Catalina Mountains, we predicted the approximate area of depositional zones for several 2006 debris flows, particularly for Soldier Canyon. Better results could be achieved in some canyons if sediment budgets could be developed to account for alternating transport and deposition zones in channels with abrupt expansions and contractions, such as Rattlesnake Canyon.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081274","collaboration":"Prepared in cooperation with the Pima County Regional Flood Control District","usgsCitation":"Webb, R., Magirl, C.S., Griffiths, P.G., and Boyer, D.E., 2008, Debris flows and floods in southeastern Arizona from extreme precipitation in July 2006 — Magnitude, frequency, and sediment delivery: U.S. Geological Survey Open-File Report 2008-1274, vi, 95 p., https://doi.org/10.3133/ofr20081274.","productDescription":"vi, 95 p.","onlineOnly":"Y","temporalStart":"2006-07-27","temporalEnd":"2006-08-01","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":49157,"text":"Rocky Mountain Regional Office","active":true,"usgs":true}],"links":[{"id":190695,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11868,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1274/","linkFileType":{"id":5,"text":"html"}},{"id":402192,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84761.htm"}],"country":"United States","state":"Arizona","otherGeospatial":"Santa Catalina Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.85205078124999,\n 32.310348764525806\n ],\n [\n -110.64880371093749,\n 32.310348764525806\n ],\n [\n -110.64880371093749,\n 32.44024912337551\n ],\n [\n -110.85205078124999,\n 32.44024912337551\n ],\n [\n -110.85205078124999,\n 32.310348764525806\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db6728e9","contributors":{"authors":[{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":297412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffiths, Peter G. 0000-0002-8663-8907 pggriffi@usgs.gov","orcid":"https://orcid.org/0000-0002-8663-8907","contributorId":187,"corporation":false,"usgs":true,"family":"Griffiths","given":"Peter","email":"pggriffi@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":297411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, Diane E.","contributorId":22018,"corporation":false,"usgs":true,"family":"Boyer","given":"Diane","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":297414,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":86658,"text":"fs20083082 - 2008 - Assessment of Moderate- and High-Temperature Geothermal Resources of the United States","interactions":[],"lastModifiedDate":"2012-02-02T00:14:16","indexId":"fs20083082","displayToPublicDate":"2008-10-07T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-3082","title":"Assessment of Moderate- and High-Temperature Geothermal Resources of the United States","docAbstract":"Scientists with the U.S. Geological Survey (USGS) recently completed an assessment of our Nation's geothermal resources. Geothermal power plants are currently operating in six states: Alaska, California, Hawaii, Idaho, Nevada, and Utah. The assessment indicates that the electric power generation potential from identified geothermal systems is 9,057 Megawatts-electric (MWe), distributed over 13 states. The mean estimated power production potential from undiscovered geothermal resources is 30,033 MWe. Additionally, another estimated 517,800 MWe could be generated through implementation of technology for creating geothermal reservoirs in regions characterized by high temperature, but low permeability, rock formations. ","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20083082","usgsCitation":"Williams, C.F., Reed, M.J., Mariner, R.H., DeAngelo, J., and Galanis, S.P., 2008, Assessment of Moderate- and High-Temperature Geothermal Resources of the United States (Version 1.0): U.S. Geological Survey Fact Sheet 2008-3082, 4 p., https://doi.org/10.3133/fs20083082.","productDescription":"4 p.","costCenters":[{"id":647,"text":"Western Earth Surface Processes","active":false,"usgs":true}],"links":[{"id":122367,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3082.jpg"},{"id":11869,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3082/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db67291d","contributors":{"authors":[{"text":"Williams, Colin F. 0000-0003-2196-5496 colin@usgs.gov","orcid":"https://orcid.org/0000-0003-2196-5496","contributorId":274,"corporation":false,"usgs":true,"family":"Williams","given":"Colin","email":"colin@usgs.gov","middleInitial":"F.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":297406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Marshall J.","contributorId":9259,"corporation":false,"usgs":true,"family":"Reed","given":"Marshall","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":297410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mariner, Robert H. rmariner@usgs.gov","contributorId":3290,"corporation":false,"usgs":true,"family":"Mariner","given":"Robert","email":"rmariner@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":297409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelo, Jacob jdeangelo@usgs.gov","contributorId":2376,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":297407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galanis, S. Peter pgalanis@usgs.gov","contributorId":3289,"corporation":false,"usgs":true,"family":"Galanis","given":"S.","email":"pgalanis@usgs.gov","middleInitial":"Peter","affiliations":[],"preferred":true,"id":297408,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":86276,"text":"pp1756 - 2008 - The Role of Eolian Sediment in the Preservation of Archeologic Sites Along the Colorado River Corridor in Grand Canyon National Park, Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"pp1756","displayToPublicDate":"2008-10-04T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1756","title":"The Role of Eolian Sediment in the Preservation of Archeologic Sites Along the Colorado River Corridor in Grand Canyon National Park, Arizona","docAbstract":"Since the closure of Glen Canyon Dam in 1963, the natural hydrologic and sedimentary systems along the Colorado River in the Grand Canyon reach have changed substantially (see, for example, Andrews, 1986; Johnson and Carothers, 1987; Webb and others, 1999b; Rubin and others, 2002; Topping and others, 2003; Wright and others, 2005; Hazel and others, 2006b). The dam has reduced the fluvial sediment supply at the upstream boundary of Grand Canyon National Park by about 95 percent. Regulation of river discharge by dam operations has important implications for the storage and redistribution of sediment in the Colorado River corridor. In the absence of floods, sediment is not deposited at elevations that regularly received sediment before dam closure. Riparian vegetation has colonized areas at lower elevations than in predam time when annual floods removed young vegetation (Turner and Karpiscak, 1980). Together, these factors have caused a systemwide decrease in the size and number of subaerially exposed fluvial sand deposits since the 1960s, punctuated by episodic aggradation during the exceptional high-flow intervals in 1983-84, 1996, and 2004 and by sediment input from occasional tributary floods (Beus and others, 1985; Schmidt and Graf, 1987; Kearsley and others, 1994; Hazel and others, 1999; Schmidt and others, 2004; Wright and others, 2005).\r\n\r\nWhen the Bureau of Reclamation sponsored the creation of the Glen Canyon Environmental Studies (GCES) research initiative in 1982, research objectives included physical and biologic resources, whereas the effects of dam operations\r\non cultural resources were not addressed (Fairley and others, 1994; Fairley, 2003). In the early 1980s, it was widely believed that because few archeologic sites were preserved within the river's annual-flood zone, cultural features would not be greatly affected by dam operations. Recent studies, however, indicate that alterations in the flow and sediment load of the Colorado River by Glen Canyon Dam operations may affect archeologic sites within the river corridor, even above the annual flood limit (Hereford and others, 1993, Yeatts, 1996, 1997; Thompson and Potochnik, 2000; Draut and others, 2005). (The annual-flood zone is defined here by the mean annual predam flood of 2,410 m3/s; the 'predam flood limit', the highest elevation at which fluvial deposits are present locally, was approximately equivalent to a rare, major flood of 8,500 m3/s; Topping and others, 2003.) Of about 500 archeologic sites documented between Glen Canyon Dam and Separation Canyon (255 river miles), more than 330 are considered to be within the area of potential effect (APE) of dam operations (Fairley and others, 1994; Neal and others, 2000; Fairley, 2005). The APE was designated by the National Park Service (NPS) to include the area below the peak stage of the 1884 flood; though previously believed to have reached 8,490 m3/s, this flood was shown by Topping and others (2003) to have peaked at 5,940 m3/s.\r\n\r\nArcheologic research and monitoring in Grand Canyon National Park focus increasingly on the potential effects of Glen Canyon Dam operations on the landscape in which these sites exist. Many archeologic sites in or on sedimentary deposits are being eroded, owing to eolian deflation and gully incision (Leap and others, 2000; Neal and others, 2000; Fairley, 2003, 2005). Hereford and others (1993) first suggested that gully incision of sedimentary deposits, and the base level to which small drainage systems respond, were linked to dam operations; they hypothesized that pronounced arroyo incision, which occurs during rainfall runoff, was caused by lowering of the effective base level at the mouths of ephemeral drainages to meet the new postdam elevation of high-flow sediment deposition, about 3 to 4 m below the lowest predam alluvial terraces. Thompson and Potochnik (2000) modified that hypothesis to include the restorative effects of fluvial deposition in the mouths of gullies and ar","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/pp1756","usgsCitation":"Draut, A.E., and Rubin, D.M., 2008, The Role of Eolian Sediment in the Preservation of Archeologic Sites Along the Colorado River Corridor in Grand Canyon National Park, Arizona: U.S. Geological Survey Professional Paper 1756, vi, 71 p., https://doi.org/10.3133/pp1756.","productDescription":"vi, 71 p.","onlineOnly":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":195660,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1756.jpg"},{"id":11860,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1756/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,35.3 ], [ -114,37 ], [ -111,37 ], [ -111,35.3 ], [ -114,35.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67ac8b","contributors":{"authors":[{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":297381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":297380,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86277,"text":"ofr20081308 - 2008 - Description of Existing Data for Integrated Landscape Monitoring in the Puget Sound Basin, Washington","interactions":[],"lastModifiedDate":"2012-02-10T00:11:50","indexId":"ofr20081308","displayToPublicDate":"2008-10-04T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1308","title":"Description of Existing Data for Integrated Landscape Monitoring in the Puget Sound Basin, Washington","docAbstract":"This report summarizes existing geospatial data and monitoring programs for the Puget Sound Basin in northwestern Washington. This information was assembled as a preliminary data-development task for the U.S. Geological Survey (USGS) Puget Sound Integrated Landscape Monitoring (PSILM) pilot project. The PSILM project seeks to support natural resource decision-making by developing a 'whole system' approach that links ecological processes at the landscape level to the local level (Benjamin and others, 2008). Part of this effort will include building the capacity to provide cumulative information about impacts that cross jurisdictional and regulatory boundaries, such as cumulative effects of land-cover change and shoreline modification, or region-wide responses to climate change. \r\n\r\nThe PSILM project study area is defined as the 23 HUC-8 (hydrologic unit code) catchments that comprise the watersheds that drain into Puget Sound and their near-shore environments. The study area includes 13 counties and more than four million people. One goal of the PSILM geospatial database is to integrate spatial data collected at multiple scales across the Puget Sound Basin marine and terrestrial landscape. \r\n\r\nThe PSILM work plan specifies an iterative process that alternates between tasks associated with data development and tasks associated with research or strategy development. For example, an initial work-plan goal was to delineate the study area boundary. Geospatial data required to address this task included data from ecological regions, watersheds, jurisdictions, and other boundaries. This assemblage of data provided the basis for identifying larger research issues and delineating the study-area boundary based on these research needs. Once the study-area boundary was agreed upon, the next iteration between data development and research activities was guided by questions about data availability, data extent, data abundance, and data types.\r\n\r\nThis report is not intended as an exhaustive compilation of all available geospatial data, rather, it is a collection of information about geospatial data that can be used to help answer the suite of questions posed after the study-area boundary was defined. This information will also be useful to the PSILM team for future project tasks, such as assessing monitoring gaps, exploring monitoring-design strategies, identifying and deriving landscape indicators and metrics, and visual geographic communication.\r\n\r\nThe two main geospatial data types referenced in this report - base-reference layers and monitoring data - originated from numerous and varied sources. In addition to collecting information and metadata about the base-reference layers, the data also were collected for project needs, such as developing maps for visual communication among team members and with outside groups. In contrast, only information about the data was typically required for the monitoring data. The information on base-reference layers and monitoring data included in this report is only as detailed as what was readily available from the sources themselves. Although this report may appear to lack consistency between data records, the varying degree of details contained in this report are merely a reflection of varying source detail.\r\n\r\nThis compilation is just a beginning. All data listed also are being catalogued in spreadsheets and knowledge-management systems. Our efforts are continual as we develop a geospatial catalog for the PSILM pilot project.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081308","usgsCitation":"Aiello, D., Torregrosa, A.A., Jason, A.L., Fuentes, T.L., and Josberger, E.G., 2008, Description of Existing Data for Integrated Landscape Monitoring in the Puget Sound Basin, Washington (Version 1.0): U.S. Geological Survey Open-File Report 2008-1308, ix, 105 p., https://doi.org/10.3133/ofr20081308.","productDescription":"ix, 105 p.","onlineOnly":"Y","costCenters":[{"id":293,"text":"Geographic Analysis and Monitoring Program","active":false,"usgs":true}],"links":[{"id":11861,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1308/","linkFileType":{"id":5,"text":"html"}},{"id":195167,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.5,44 ], [ -124.5,49 ], [ -119,49 ], [ -119,44 ], [ -124.5,44 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66da10","contributors":{"authors":[{"text":"Aiello, Danielle P.","contributorId":107243,"corporation":false,"usgs":true,"family":"Aiello","given":"Danielle P.","affiliations":[],"preferred":false,"id":297386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":297383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jason, Allyson L. ajason@usgs.gov","contributorId":5754,"corporation":false,"usgs":true,"family":"Jason","given":"Allyson","email":"ajason@usgs.gov","middleInitial":"L.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":297384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuentes, Tracy L.","contributorId":8952,"corporation":false,"usgs":true,"family":"Fuentes","given":"Tracy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":297385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Josberger, Edward G. ejosberg@usgs.gov","contributorId":1710,"corporation":false,"usgs":true,"family":"Josberger","given":"Edward","email":"ejosberg@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":297382,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":86278,"text":"ofr20081310 - 2008 - A Bernoulli Formulation of the Land-Use Portfolio Model","interactions":[],"lastModifiedDate":"2012-02-02T00:14:26","indexId":"ofr20081310","displayToPublicDate":"2008-10-04T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1310","title":"A Bernoulli Formulation of the Land-Use Portfolio Model","docAbstract":"Decision making for natural-hazards mitigation can be sketched as knowledge available in advance (a priori), knowledge available later (a posteriori), and how consequences of the mitigation decision might be viewed once future outcomes are known. Two outcomes - mitigating for a hazard event that will occur, and not mitigating for a hazard event that will not occur - can be considered narrowly correct. Two alternative outcomes - mitigating for a hazard event that will not occur, and not mitigating for a hazard event that will occur - can be considered narrowly incorrect. The dilemma facing the decision maker is that mitigation choices must be made before the event, and often must be made with imperfect statistical techniques and imperfect data.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081310","usgsCitation":"Champion, R.A., 2008, A Bernoulli Formulation of the Land-Use Portfolio Model (Version 1.0): U.S. Geological Survey Open-File Report 2008-1310, iii, 25 p., https://doi.org/10.3133/ofr20081310.","productDescription":"iii, 25 p.","onlineOnly":"Y","costCenters":[{"id":293,"text":"Geographic Analysis and Monitoring Program","active":false,"usgs":true}],"links":[{"id":11862,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1310/","linkFileType":{"id":5,"text":"html"}},{"id":195661,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd494ce4b0b290850ef07e","contributors":{"authors":[{"text":"Champion, Richard A. rchampio@usgs.gov","contributorId":2537,"corporation":false,"usgs":true,"family":"Champion","given":"Richard","email":"rchampio@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":297387,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":86282,"text":"ofr20081301 - 2008 - Audiomagnetotelluric data and preliminary two-dimensional models from Spring, Dry Lake, and Delamar Valleys, Nevada","interactions":[],"lastModifiedDate":"2019-11-18T06:18:33","indexId":"ofr20081301","displayToPublicDate":"2008-10-04T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1301","title":"Audiomagnetotelluric data and preliminary two-dimensional models from Spring, Dry Lake, and Delamar Valleys, Nevada","docAbstract":"This report presents audiomagnetotelluric (AMT) data along fourteen profiles in Spring, Delamar, and Dry Lake Valleys, and the corresponding preliminary two-dimensional (2-D) inverse models. The AMT method is a valuable tool for estimating the electrical resistivity of the Earth over depth ranges from a few meters to less than one kilometer, and it is important for revealing subsurface structure and stratigraphy within the Basin and Range province of eastern Nevada, which can be used to define the geohydrologic framework of the region. We collected AMT data by using the Geometrics StrataGem EH4 system. Profiles were 0.7 - 3.2 km in length with station spacing of 50-400 m. Data were recorded in a coordinate system parallel to and perpendicular to the regional geologic-strike direction with Z positive down. We show AMT station locations, sounding curves of apparent resistivity, phase, and coherency, and 2-D models of subsurface resistivity along the profiles. The 2-D inverse models are computed from the transverse electric (TE), transverse magnetic (TM), and TE+TM mode data by using a conjugate gradient, finite-difference method. Preliminary interpretation of the 2-D models defines the structural framework of the basins and the resistivity contrasts between alluvial basin-fill, volcanic units, and carbonate basement rocks.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081301","collaboration":"Prepared in cooperation with the Southern Nevada Water Authority (SNWA)","usgsCitation":"McPhee, D., Chuchel, B.A., and Pellerin, L., 2008, Audiomagnetotelluric data and preliminary two-dimensional models from Spring, Dry Lake, and Delamar Valleys, Nevada (Version 1.0): U.S. Geological Survey Open-File Report 2008-1301, Report: 59 p.; Appendix, https://doi.org/10.3133/ofr20081301.","productDescription":"Report: 59 p.; Appendix","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":369258,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2008/1301/of2008-1301_appendix_a.pdf"},{"id":11866,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1301/of2008-1301_text.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":194952,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.20013427734375,\n 38.826870521380634\n ],\n [\n -114.05044555664062,\n 38.826870521380634\n ],\n [\n -114.05044555664062,\n 39.02131757437681\n ],\n [\n -114.20013427734375,\n 39.02131757437681\n ],\n [\n -114.20013427734375,\n 38.826870521380634\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa9e4b07f02db6680db","contributors":{"authors":[{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":297399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chuchel, Bruce A. chuchel@usgs.gov","contributorId":2415,"corporation":false,"usgs":true,"family":"Chuchel","given":"Bruce","email":"chuchel@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":297398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pellerin, Louise","contributorId":20824,"corporation":false,"usgs":true,"family":"Pellerin","given":"Louise","email":"","affiliations":[],"preferred":false,"id":297400,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86279,"text":"ofr20081309 - 2008 - Applying the land use portfolio model to estimate natural-hazard loss and risk — A hypothetical demonstration for Ventura County, California","interactions":[],"lastModifiedDate":"2022-06-14T20:04:39.184454","indexId":"ofr20081309","displayToPublicDate":"2008-10-04T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1309","title":"Applying the land use portfolio model to estimate natural-hazard loss and risk — A hypothetical demonstration for Ventura County, California","docAbstract":"With costs of natural disasters skyrocketing and populations increasingly settling in areas vulnerable to natural hazards, society is challenged to better allocate its limited risk-reduction resources. In 2000, Congress passed the Disaster Mitigation Act, amending the Robert T. Stafford Disaster Relief and Emergency Assistance Act (Robert T. Stafford Disaster Relief and Emergency Assistance Act, Pub. L. 93-288, 1988; Federal Emergency Management Agency, 2002, 2008b; Disaster Mitigation Act, 2000), mandating that State, local, and tribal communities prepare natural-hazard mitigation plans to qualify for pre-disaster mitigation grants and post-disaster aid. The Federal Emergency Management Agency (FEMA) was assigned to coordinate and implement hazard-mitigation programs, and it published information about specific mitigation-plan requirements and the mechanisms (through the Hazard Mitigation Grant Program-HMGP) for distributing funds (Federal Emergency Management Agency, 2002). FEMA requires that each community develop a mitigation strategy outlining long-term goals to reduce natural-hazard vulnerability, mitigation objectives and specific actions to reduce the impacts of natural hazards, and an implementation plan for those actions. The implementation plan should explain methods for prioritizing, implementing, and administering the actions, along with a 'cost-benefit review' justifying the prioritization. \r\n\r\nFEMA, along with the National Institute of Building Sciences (NIBS), supported the development of HAZUS ('Hazards U.S.'), a geospatial natural-hazards loss-estimation tool, to help communities quantify potential losses and to aid in the selection and prioritization of mitigation actions. HAZUS was expanded to a multiple-hazard version, HAZUS-MH, that combines population, building, and natural-hazard science and economic data and models to estimate physical damages, replacement costs, and business interruption for specific natural-hazard scenarios. HAZUS-MH currently performs analyses for earthquakes, floods, and hurricane wind. \r\n\r\nHAZUS-MH loss estimates, however, do not account for some uncertainties associated with the specific natural-hazard scenarios, such as the likelihood of occurrence within a particular time horizon or the effectiveness of alternative risk-reduction options. Because of the uncertainties involved, it is challenging to make informative decisions about how to cost-effectively reduce risk from natural-hazard events. Risk analysis is one approach that decision-makers can use to evaluate alternative risk-reduction choices when outcomes are unknown. The Land Use Portfolio Model (LUPM), developed by the U.S. Geological Survey (USGS), is a geospatial scenario-based tool that incorporates hazard-event uncertainties to support risk analysis. The LUPM offers an approach to estimate and compare risks and returns from investments in risk-reduction measures. This paper describes and demonstrates a hypothetical application of the LUPM for Ventura County, California, and examines the challenges involved in developing decision tools that provide quantitative methods to estimate losses and analyze risk from natural hazards.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081309","usgsCitation":"Dinitz, L.B., 2008, Applying the land use portfolio model to estimate natural-hazard loss and risk — A hypothetical demonstration for Ventura County, California (Version 1.0): U.S. Geological Survey Open-File Report 2008-1309, iii, 12 p., https://doi.org/10.3133/ofr20081309.","productDescription":"iii, 12 p.","onlineOnly":"Y","costCenters":[{"id":293,"text":"Geographic Analysis and Monitoring Program","active":false,"usgs":true}],"links":[{"id":194796,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11863,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1309/","linkFileType":{"id":5,"text":"html"}},{"id":402169,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84757.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.4378662109375,\n 34.057210513510306\n ],\n [\n -118.6083984375,\n 34.057210513510306\n ],\n [\n -118.6083984375,\n 34.50542493789137\n ],\n [\n -119.4378662109375,\n 34.50542493789137\n ],\n [\n -119.4378662109375,\n 34.057210513510306\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a3d7","contributors":{"authors":[{"text":"Dinitz, Laura B. ldinitz@usgs.gov","contributorId":3332,"corporation":false,"usgs":true,"family":"Dinitz","given":"Laura","email":"ldinitz@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":297388,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":86260,"text":"sir20085162 - 2008 - Hydrologic and Water-Quality Responses in Shallow Ground Water Receiving Stormwater Runoff and Potential Transport of Contaminants to Lake Tahoe, California and Nevada, 2005-07","interactions":[],"lastModifiedDate":"2012-03-08T17:16:22","indexId":"sir20085162","displayToPublicDate":"2008-10-02T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5162","title":"Hydrologic and Water-Quality Responses in Shallow Ground Water Receiving Stormwater Runoff and Potential Transport of Contaminants to Lake Tahoe, California and Nevada, 2005-07","docAbstract":"Clarity of Lake Tahoe, California and Nevada has been decreasing due to inflows of sediment and nutrients associated with stormwater runoff. Detention basins are considered effective best management practices for mitigation of suspended sediment and nutrients associated with runoff, but effects of infiltrated stormwater on shallow ground water are not known. This report documents 2005-07 hydrogeologic conditions in a shallow aquifer and associated interactions between a stormwater-control system with nearby Lake Tahoe. Selected chemical qualities of stormwater, bottom sediment from a stormwater detention basin, ground water, and nearshore lake and interstitial water are characterized and coupled with results of a three-dimensional, finite-difference, mathematical model to evaluate responses of ground-water flow to stormwater-runoff accumulation in the stormwater-control system.\r\n\r\nThe results of the ground-water flow model indicate mean ground-water discharge of 256 acre feet per year, contributing 27 pounds of phosphorus and 765 pounds of nitrogen to Lake Tahoe within the modeled area. Only 0.24 percent of this volume and nutrient load is attributed to stormwater infiltration from the detention basin.\r\n\r\nSettling of suspended nutrients and sediment, biological assimilation of dissolved nutrients, and sorption and detention of chemicals of potential concern in bottom sediment are the primary stormwater treatments achieved by the detention basins. Mean concentrations of unfiltered nitrogen and phosphorus in inflow stormwater samples compared to outflow samples show that 55 percent of nitrogen and 47 percent of phosphorus are trapped by the detention basin. Organic carbon, cadmium, copper, lead, mercury, nickel, phosphorus, and zinc in the uppermost 0.2 foot of bottom sediment from the detention basin were all at least twice as concentrated compared to sediment collected from 1.5 feet deeper. Similarly, concentrations of 28 polycyclic aromatic hydrocarbon compounds were all less than laboratory reporting limits in the deeper sediment sample, but 15 compounds were detected in the uppermost 0.2 foot of sediment. Published concentrations determined to affect benthic aquatic life also were exceeded for copper, zinc, benz[a]anthracene, phenanthrene, and pyrene in the shallow sediment sample.\r\n\r\nIsotopic composition of water (oxygen 18/16 and hydrogen 2/1 ratios) for samples of shallow ground water, lakewater, and interstitial water from Lake Tahoe indicate the lake was well mixed with a slight ground-water signature in samples collected near the lakebed. One interstitial sample from 0.8 foot beneath the lakebed was nearly all ground water and concentrations of nitrogen and phosphorus were comparable to concentrations in shallow ground-water samples. However, ammonium represented 65 percent of filtered nitrogen in this interstitial sample, but only 10 percent of the average nitrogen in ground-water samples. Nitrate was less than reporting limits in interstitial water, compared with mean nitrate concentration of 750 micrograms per liter in ground-water samples, indicating either active dissimilative nitrate reduction to ammonium by micro-organisms or hydrolysis of organic nitrogen to ammonium with concomitant nitrate reduction. The other interstitial sample falls along a mixing line between ground water and lake water and most of the nitrogen was organic nitrogen.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085162","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Green, J.M., Thodal, C.E., and Welborn, T.L., 2008, Hydrologic and Water-Quality Responses in Shallow Ground Water Receiving Stormwater Runoff and Potential Transport of Contaminants to Lake Tahoe, California and Nevada, 2005-07 (Version 1.1, Revised Dec 2008): U.S. Geological Survey Scientific Investigations Report 2008-5162, Report: vi, 65 p.; Appendixes, https://doi.org/10.3133/sir20085162.","productDescription":"Report: vi, 65 p.; Appendixes","temporalStart":"2005-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":190849,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11842,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5162/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.08333333333333,38.833333333333336 ], [ -120.08333333333333,39 ], [ -119.83333333333333,39 ], [ -119.83333333333333,38.833333333333336 ], [ -120.08333333333333,38.833333333333336 ] ] ] } } ] }","edition":"Version 1.1, Revised Dec 2008","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611893","contributors":{"authors":[{"text":"Green, Jena M.","contributorId":77597,"corporation":false,"usgs":true,"family":"Green","given":"Jena","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":297317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thodal, Carl E. 0000-0003-0782-3280 cethodal@usgs.gov","orcid":"https://orcid.org/0000-0003-0782-3280","contributorId":2292,"corporation":false,"usgs":true,"family":"Thodal","given":"Carl","email":"cethodal@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welborn, Toby L. 0000-0003-4839-2405 tlwelbor@usgs.gov","orcid":"https://orcid.org/0000-0003-4839-2405","contributorId":2295,"corporation":false,"usgs":true,"family":"Welborn","given":"Toby","email":"tlwelbor@usgs.gov","middleInitial":"L.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297316,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86266,"text":"ds361 - 2008 - Collection and analysis of samples for polycyclic aromatic hydrocarbons in dust and other solids related to sealed and unsealed pavement from 10 cities across the United States, 2005-07","interactions":[],"lastModifiedDate":"2016-08-23T13:00:41","indexId":"ds361","displayToPublicDate":"2008-10-02T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"361","title":"Collection and analysis of samples for polycyclic aromatic hydrocarbons in dust and other solids related to sealed and unsealed pavement from 10 cities across the United States, 2005-07","docAbstract":"Parking lots and driveways are dominant features of the modern urban landscape, and in the United States, sealcoat is widely used on these surfaces. One of the most widely used types of sealcoat contains refined coal tar; coal-tar-based sealcoat products have a mean polycyclic aromatic hydrocarbon (PAH) concentration of about 5 percent. A previous study reported that parking lots in Austin, Texas, treated with coal-tar sealcoat were a major source of PAH compounds in streams. This report presents methods for and data from the analysis of concentrations of PAH compounds in dust from sealed and unsealed pavement from nine U.S. cities, and concentrations of PAH compounds in other related solid materials (sealcoat surface scrapings, nearby street dust, and nearby soil) from three of those same cities and a 10th city. Dust samples were collected by sweeping dust from areas of several square meters with a soft nylon brush into a dustpan. Some samples were from individual lots or driveways, and some samples consisted of approximately equal amounts of material from three lots. Samples were sieved to remove coarse sand and gravel and analyzed by gas chromatography/mass spectrometry. Concentrations of PAHs vary greatly among samples with total PAH (sigmaPAH), the sum of 12 unsubstituted parent PAHs, ranging from nondetection for all 12 PAHs (several samples from Portland, Oregon, and Seattle, Washington; sigmaPAH of less than 36,000 micrograms per kilogram) to 19,000,000 micrograms per kilogram for a sealcoat scraping sample (Milwaukee, Wisconsin). The largest PAH concentrations in dust are from a driveway sample from suburban Chicago, Illinois (sigmaPAH of 9,600,000 micrograms per kilogram).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds361","usgsCitation":"Van Metre, P., Mahler, B., Wilson, J.T., and Burbank, T.L., 2008, Collection and analysis of samples for polycyclic aromatic hydrocarbons in dust and other solids related to sealed and unsealed pavement from 10 cities across the United States, 2005-07 (Version 1.0): U.S. Geological Survey Data Series 361, Report: 11 p.; 3 Tables, https://doi.org/10.3133/ds361.","productDescription":"Report: 11 p.; 3 Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2005-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":195204,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds361.gif"},{"id":327666,"rank":102,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/361/downloads/","text":"Downloads Directory"},{"id":327665,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/361/pdf/ds361.pdf","size":"9.3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":11848,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/361/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae8e7","contributors":{"authors":[{"text":"Van Metre, Peter C.","contributorId":34104,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","affiliations":[],"preferred":false,"id":297341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":297338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Jennifer T. 0000-0003-4481-6354 jenwilso@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-6354","contributorId":1782,"corporation":false,"usgs":true,"family":"Wilson","given":"Jennifer","email":"jenwilso@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burbank, Teresa L. tburbank@usgs.gov","contributorId":2048,"corporation":false,"usgs":true,"family":"Burbank","given":"Teresa","email":"tburbank@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":297340,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044017,"text":"70044017 - 2008 - Rapid exposure and loss estimates for the May 12, 2008 Mw 7.9 Wenchuan earthquake provided by the U.S. Geological Survey's PAGER system","interactions":[],"lastModifiedDate":"2013-06-06T16:04:27","indexId":"70044017","displayToPublicDate":"2008-10-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Rapid exposure and loss estimates for the May 12, 2008 Mw 7.9 Wenchuan earthquake provided by the U.S. Geological Survey's PAGER system","docAbstract":"One half-hour after the May 12th Mw 7.9 Wenchuan, China earthquake, the U.S. Geological Survey’s Prompt Assessment of Global Earthquakes for Response (PAGER) system distributed an automatically generated alert stating that 1.2 million people were exposed to severe-to-extreme shaking (Modified Mercalli Intensity VIII or greater). It was immediately clear that a large-scale disaster had occurred. These alerts were widely distributed and referenced by the major media outlets and used by governments, scientific, and relief agencies to guide their responses. The PAGER alerts and Web pages included predictive ShakeMaps showing estimates of ground shaking, maps of population density, and a list of estimated intensities at impacted cities. Manual, revised alerts were issued in the following hours that included the dimensions of the fault rupture. Within a half-day, PAGER’s estimates of the population exposed to strong shaking levels stabilized at 5.2 million people. A coordinated research effort is underway to extend PAGER’s capability to include estimates of the number of casualties. We are pursuing loss models that will allow PAGER the flexibility to use detailed inventory and engineering results in regions where these data are available while also calculating loss estimates in regions where little is known about the type and strength of the built infrastructure. Prototype PAGER fatality estimates are currently implemented and can be manually triggered. In the hours following the Wenchuan earthquake, these models predicted fatalities in the tens of thousands.","largerWorkTitle":"The 14th World Conference on Earthquake Engineering","conferenceTitle":"The 14th World Conference on Earthquake Engineering","conferenceLocation":"Beijing, China","language":"English","publisher":"World Conference on Earthquake Engineering","usgsCitation":"Earle, P., Wald, D., Allen, T., Jaiswal, K.S., Porter, K., and Hearne, M., 2008, Rapid exposure and loss estimates for the May 12, 2008 Mw 7.9 Wenchuan earthquake provided by the U.S. Geological Survey's PAGER system, 8 p.","productDescription":"8 p.","ipdsId":"IP-007895","costCenters":[{"id":415,"text":"National Earthquake Information Center","active":false,"usgs":true}],"links":[{"id":273415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273416,"type":{"id":11,"text":"Document"},"url":"https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CCoQFjAA&url=http%3A%2F%2Fearthquake.usgs.gov%2Fearthquakes%2Fpager%2Fprodandref%2FEarle_et_al_(2008)_14WCEE_PAGER_Wenchuan.pdf&ei=k_awUZfiIOamygGzj4GgCg&usg=AFQjCNHtIBSUM1u9d8TWM_wWP1X9tVbtyw"}],"country":"China","otherGeospatial":"Wenchua","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 102.86,30.76 ], [ 102.86,31.71 ], [ 103.74,31.71 ], [ 103.74,30.76 ], [ 102.86,30.76 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b1bbd5e4b022a6a540fa10","contributors":{"authors":[{"text":"Earle, P.S.","contributorId":17011,"corporation":false,"usgs":true,"family":"Earle","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":474625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, D.J. 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":43809,"corporation":false,"usgs":true,"family":"Wald","given":"D.J.","affiliations":[],"preferred":false,"id":474627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, T.I.","contributorId":6659,"corporation":false,"usgs":true,"family":"Allen","given":"T.I.","email":"","affiliations":[],"preferred":false,"id":474623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaiswal, K. S.","contributorId":105564,"corporation":false,"usgs":false,"family":"Jaiswal","given":"K.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":474628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porter, K.A.","contributorId":25060,"corporation":false,"usgs":true,"family":"Porter","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":474626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hearne, M.G.","contributorId":7538,"corporation":false,"usgs":true,"family":"Hearne","given":"M.G.","email":"","affiliations":[],"preferred":false,"id":474624,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176354,"text":"70176354 - 2008 - Mapping \"old\" versus \"young\" piñon-juniper stands with a predictive topo-climatic model in north-central New Mexico, USA","interactions":[],"lastModifiedDate":"2018-01-23T10:40:02","indexId":"70176354","displayToPublicDate":"2008-10-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Mapping \"old\" versus \"young\" piñon-juniper stands with a predictive topo-climatic model in north-central New Mexico, USA","docAbstract":"Piñon pine and juniper woodlands in the southwestern United States are often represented as an expanding and even invasive vegetation type, a legacy of historic grazing, and culpable in the degradation of western rangelands. A long-standing emphasis on forage production, in combination with recent hazard fuel concerns, has prompted a new era of woodland management with stated restoration objectives. Yet the extent and dynamics of piñon–juniper communities that predate intensive Euro-American settlement activities are poorly known or understood, while the intrinsic ecological, aesthetic, and economic values of old-growth woodlands are often overlooked. Historical changes in piñon–juniper stands include two related, but poorly differentiated processes: recent tree expansion into grass- or shrub-dominated (i.e., non-woodland) vegetation and thickening or infilling of savanna or mosaic woodlands predating settlement. Our work addresses the expansion pattern, modeling the occurrence of “older” savanna and woodland stands extant prior to 1850 in contrast to “younger” piñon–juniper growth of more recent, postsettlement origin. We present criteria in the form of a diagnostic key for distinguishing “older,” pre-Euro-American settlement piñon–juniper from “younger” (post-1850) stands and report results of predictive modeling and mapping efforts within a north-central New Mexico study area. Selected models suggest a primary role for soil moisture in the current distribution of “old” vs. “young” piñon–juniper stands. Presettlement era woodlands are shown to occupy a discrete ecological space, defined by the interaction of effective (seasonal) moisture with landform setting and fine-scale (soil/water) depositional patterns. “Older” stands are generally found at higher elevations or on skeletal soils in upland settings, while “younger” stands (often dominated by one-seed juniper, Juniperus monosperma) are most common at lower elevations or in productive, depositional settings. Modeling at broad regional scales can enhance our general understanding of piñon–juniper ecology, while predictive mapping of local areas has potential to provide products useful for land management. Areas of the southwestern United States with strong monsoonal (summer moisture) patterns appear to have been the most susceptible to historical woodland expansion, but even here the great majority of extant piñon–juniper has presettlement origins (although widely thickened and infilled historically), and old-growth structure is not uncommon in appropriate upland settings.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/07-0847.1","usgsCitation":"Jacobs, B.F., Romme, W., and Allen, C.D., 2008, Mapping \"old\" versus \"young\" piñon-juniper stands with a predictive topo-climatic model in north-central New Mexico, USA: Ecological Applications, v. 18, no. 7, p. 1627-1641, https://doi.org/10.1890/07-0847.1.","productDescription":"15 p.","startPage":"1627","endPage":"1641","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":328427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd3be4b0571647d19aa3","contributors":{"authors":[{"text":"Jacobs, B. F.","contributorId":174520,"corporation":false,"usgs":false,"family":"Jacobs","given":"B.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":648478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romme, W.H.","contributorId":89307,"corporation":false,"usgs":true,"family":"Romme","given":"W.H.","email":"","affiliations":[],"preferred":false,"id":648479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":648480,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70237333,"text":"70237333 - 2008 - An integrated geophysical approach for groundwater and seismic hazard management in Joshua Tree National Park, southern California","interactions":[],"lastModifiedDate":"2022-10-07T16:31:12.623658","indexId":"70237333","displayToPublicDate":"2008-09-30T11:26:13","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An integrated geophysical approach for groundwater and seismic hazard management in Joshua Tree National Park, southern California","docAbstract":"Two‐dimensional inversion of audiomagnetotelluric (AMT) sounding data define buried resistivity distributions that reflect subsurface geology and structure within the upper kilometer beneath Pleasant Valley, a 1–2 km‐deep pull‐apart basin in Joshua Tree National Park, southern California. The Park lies within the Eastern California Shear Zone just east of the San Andreas Fault, and is surrounded by developing desert communities. Understanding the subsurface in and around the Park is important for management of groundwater resources, for mitigation of seismic hazards, and for unraveling the tectonic evolution of the region. Our resistivity models, interpreted in conjunction with gravity inversions, show transitions between coarse‐grained and fine‐grained alluvium, resistive (> 400 ohm‐m) crystalline rocks, and the locations of range‐front and intra‐basin faults.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the application of geophysics to engineering and environmental problems 2008","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/1.2963292","usgsCitation":"McPhee, D., Langenheim, V., Chuchel, B.A., and Pellerin, L., 2008, An integrated geophysical approach for groundwater and seismic hazard management in Joshua Tree National Park, southern California, in Symposium on the application of geophysics to engineering and environmental problems 2008, p. 510-518, https://doi.org/10.4133/1.2963292.","productDescription":"9 p.","startPage":"510","endPage":"518","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"links":[{"id":408091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Joshua Tree National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.46331787109375,\n 34.07768740409027\n ],\n [\n -116.44683837890625,\n 33.970697997361626\n ],\n [\n -115.99090576171875,\n 33.687781758439364\n ],\n [\n -115.68878173828124,\n 33.678639851675555\n ],\n [\n -115.66131591796875,\n 33.715201644740844\n ],\n [\n -115.51300048828125,\n 33.708347493688414\n ],\n [\n -115.45532226562499,\n 33.799691173251084\n ],\n [\n -115.50201416015624,\n 33.8362013852728\n ],\n [\n -115.60089111328125,\n 33.8430453147447\n ],\n [\n -115.62286376953124,\n 33.90005673964575\n ],\n [\n -115.3729248046875,\n 33.904616008362325\n ],\n [\n -115.32897949218749,\n 33.81110228864701\n ],\n [\n -115.29327392578125,\n 33.80197351806589\n ],\n [\n -115.26855468749999,\n 33.84760762988741\n ],\n [\n -115.28228759765624,\n 33.89093747081252\n ],\n [\n -115.29327392578125,\n 33.95475186857191\n ],\n [\n -115.27130126953125,\n 34.025347738147936\n ],\n [\n -115.29327392578125,\n 34.068587174791965\n ],\n [\n -115.51300048828125,\n 34.12317388304314\n ],\n [\n -115.55694580078125,\n 34.07768740409027\n ],\n [\n -115.6365966796875,\n 34.10498222546687\n ],\n [\n -115.62561035156249,\n 34.020794936018724\n ],\n [\n -115.7080078125,\n 33.97525348507592\n ],\n [\n -115.91949462890624,\n 33.97753113740941\n ],\n [\n -115.94970703125,\n 34.01851844336969\n ],\n [\n -115.98266601562499,\n 34.01851844336969\n ],\n [\n -116.0101318359375,\n 34.0731374116421\n ],\n [\n -116.02386474609375,\n 34.075412438417395\n ],\n [\n -116.04583740234374,\n 34.116352469972746\n ],\n [\n -116.26556396484374,\n 34.120900139826965\n ],\n [\n -116.26831054687501,\n 34.0731374116421\n ],\n [\n -116.33697509765625,\n 34.0731374116421\n ],\n [\n -116.33697509765625,\n 34.091335914867344\n ],\n [\n -116.35620117187499,\n 34.091335914867344\n ],\n [\n -116.35620117187499,\n 34.0822371521209\n ],\n [\n -116.46331787109375,\n 34.07768740409027\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2008-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":854161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":854162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chuchel, Bruce A. chuchel@usgs.gov","contributorId":2415,"corporation":false,"usgs":true,"family":"Chuchel","given":"Bruce","email":"chuchel@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":854163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pellerin, Louise","contributorId":20824,"corporation":false,"usgs":true,"family":"Pellerin","given":"Louise","email":"","affiliations":[],"preferred":false,"id":854164,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70000539,"text":"70000539 - 2008 - Controls on alluvial fan long-profiles","interactions":[],"lastModifiedDate":"2020-11-24T22:26:04.79415","indexId":"70000539","displayToPublicDate":"2008-09-28T23:09:26","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Controls on alluvial fan long-profiles","docAbstract":"Water and debris flows exiting confined valleys have a tendency to deposit sediment on steep fans. On alluvial fans where water transport of gravel predominates, channel slopes tend to decrease downfan from ~0.10–0.04 to ~0.01 across wide ranges of climate and tectonism. Some have argued that this pattern reflects grain-size fining downfan such that higher threshold slopes are required just to entrain coarser particles in the waters of the upper fan, whereas lower slopes are required to entrain finer grains downfan (threshold hypothesis). An older hypothesis is that slope is adjusted to transport the supplied sediment load, which decreases downfan as deposition occurs (transport hypothesis). We have begun to test these hypotheses for alluvial fan long-profiles using detailed hydraulic and particle-size data in sediment transport models. On four alluvial fans in the western U.S., we find that channel hydraulic radiiare largely 0.5–0.9 m at fan heads, decreasing to 0.1–0.2 m at distal margins. We find that median gravel diameter does not change systematically along the upper 60%–80% of active fan channels as slope declines, so downstream gravel fining cannot explain most of the observed channel slope reduction. However, as slope declines, channel-bed sand cover increases systematically downfan from areal fractions of <20% above fan heads to distal fan values in excess of 70%. As a result, entrainment thresholds for bed material might decrease systematically downfan, leading to lower slopes. However, current models of this effect alone tend to underpredict downfan slope changes. This is likely due to off-channel gravel deposition. Calculations that match observed fan long-profiles require an exponential decline in gravel transport rate, so that on some fans approximately half of the load must be deposited off channel every ~0.20–1.4 km downfan. This leads us to hypothesize that some alluvial fan long-profiles are statements about the rate of overbank deposition of coarse particles downfan, a process for which there is currently no mechanistic theory.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B26208.1","usgsCitation":"Stock, J., Schmidt, K., and Miller, D., 2008, Controls on alluvial fan long-profiles: Geological Society of America Bulletin, v. 120, no. 5-6, p. 619-640, https://doi.org/10.1130/B26208.1.","productDescription":"22 p.","startPage":"619","endPage":"640","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":203797,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.64233398437499,\n 34.93097858831627\n ],\n [\n -117.938232421875,\n 37.483576550426996\n ],\n [\n -118.20190429687501,\n 37.09900294387622\n ],\n [\n -117.828369140625,\n 36.27970720524017\n ],\n [\n -116.47705078125,\n 34.69646117272349\n ],\n [\n -115.00488281250001,\n 33.76088200086917\n ],\n [\n -114.521484375,\n 34.6060845921693\n ],\n [\n -114.64233398437499,\n 34.93097858831627\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2008-04-30","publicationStatus":"PW","scienceBaseUri":"4f4e4ad7e4b07f02db684561","contributors":{"authors":[{"text":"Stock, J. D. 0000-0001-8565-3577","orcid":"https://orcid.org/0000-0001-8565-3577","contributorId":79998,"corporation":false,"usgs":true,"family":"Stock","given":"J. D.","affiliations":[],"preferred":false,"id":346244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, K. M. 0000-0003-2365-8035","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":59830,"corporation":false,"usgs":true,"family":"Schmidt","given":"K. M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":346243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, D. M. 0000-0003-3711-0441","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":104422,"corporation":false,"usgs":true,"family":"Miller","given":"D. M.","affiliations":[],"preferred":false,"id":346245,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86239,"text":"ofr20081188 - 2008 - Simulation of streamflow and selected water-quality constituents through a model of the Onondaga Lake Basin, Onondaga County, New York — A guide to model application","interactions":[],"lastModifiedDate":"2022-06-16T19:53:30.052077","indexId":"ofr20081188","displayToPublicDate":"2008-09-27T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1188","title":"Simulation of streamflow and selected water-quality constituents through a model of the Onondaga Lake Basin, Onondaga County, New York — A guide to model application","docAbstract":"A computer model of hydrologic and water-quality processes of the Onondaga Lake basin in Onondaga County, N.Y., was developed during 2003-07 to assist water-resources managers in making basin-wide management decisions that could affect peak flows and the water quality of tributaries to Onondaga Lake. The model was developed with the Hydrological Simulation Program-Fortran (HSPF) and was designed to allow simulation of proposed or hypothetical land-use changes, best-management practices (BMPs), and instream stormwater-detention basins such that their effects on flows and loads of suspended sediment, orthophosphate, total phosphorus, ammonia, organic nitrogen, and nitrate could be analyzed. Extreme weather conditions, such as intense storms and prolonged droughts, can be simulated through manipulation of the precipitation record. Model results obtained from different scenarios can then be compared and analyzed through an interactive computer program known as Generation and Analysis of Model Simulation Scenarios for Watersheds (GenScn). Background information on HSPF and GenScn is presented to familiarize the user with these two programs. Step-by-step examples are provided on (1) the creation of land-use, BMP, and stormflow-detention scenarios for simulation by the HSPF model, and (2) the analysis of simulation results through GenScn.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081188","collaboration":"Prepared in cooperation with the Onondaga Lake Partnership","usgsCitation":"Coon, W.F., 2008, Simulation of streamflow and selected water-quality constituents through a model of the Onondaga Lake Basin, Onondaga County, New York — A guide to model application: U.S. Geological Survey Open-File Report 2008-1188, vi, 27 p., https://doi.org/10.3133/ofr20081188.","productDescription":"vi, 27 p.","onlineOnly":"Y","temporalStart":"2003-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":195216,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402299,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84568.htm","linkFileType":{"id":5,"text":"html"}},{"id":11821,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1188/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","county":"Onondaga County","otherGeospatial":"Onondaga Lake basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.37557983398438,\n 42.807491865911544\n ],\n [\n -76.08993530273438,\n 42.807491865911544\n ],\n [\n -76.08993530273438,\n 43.068887774169625\n ],\n [\n -76.37557983398438,\n 43.068887774169625\n ],\n [\n -76.37557983398438,\n 42.807491865911544\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685ab4","contributors":{"authors":[{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297265,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":86256,"text":"sir20085142 - 2008 - Recovery of Ground-Water Levels from 1988 to 2003 and Analysis of Effects of 2003 and Full-Allocation Withdrawals in Critical Area 2, Southern New Jersey","interactions":[],"lastModifiedDate":"2012-03-08T17:16:26","indexId":"sir20085142","displayToPublicDate":"2008-09-27T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5142","title":"Recovery of Ground-Water Levels from 1988 to 2003 and Analysis of Effects of 2003 and Full-Allocation Withdrawals in Critical Area 2, Southern New Jersey","docAbstract":"Water levels in the Potomac-Raritan-Magothy aquifer system within Water Supply Critical Area 2 in the southern New Jersey Coastal Plain have recovered as a result of reductions in ground-water withdrawals initiated in the early 1990s. The Critical Area consists of the depleted zone and the threatened margin. The Potomac-Raritan-Magothy aquifer system consists of the Upper, Middle, and Lower aquifers. Generally, ground-water withdrawals from these aquifers declined 5 to 10 Mgal/d (million gallons per day) and water levels recovered 0 to 40 ft (foot) from 1988 to 2003. In order to reevaluate water-allocation restrictions in Critical Area 2 in response to changes in the ground-water-flow system and demands for additional water supply due to increased development, the New Jersey Department of Environmental Protection (NJDEP) needs information about the effects of changes in those allocations. Therefore, the U.S. Geological Survey (USGS), in cooperation with the NJDEP, used an existing ground-water-flow model of the New Jersey Coastal Plain to evaluate the effects of withdrawal alternatives on hydraulic heads in the Potomac-Raritan-Magothy aquifer system in Critical Area 2.\r\n\r\nThe U.S. Geological Survey Regional Aquifer System Analysis model was used to simulate steady-state ground-water flow. Two withdrawal conditions were tested by using the model to evaluate hydraulic heads and differences in heads in these aquifers: 2003 withdrawals and full-allocation withdrawals (17.4 Mgal/d greater than 2003 withdrawals). Model results are presented using head maps and head-difference maps that compare 2003 to full-allocation withdrawals. Mandated hydrologic conditions for Critical Area protection are that the simulated -30-ft head contour not extend beyond the boundary of the depleted zone and (or) be at least 5 mi (miles) updip from the 250-mg/L (milligram per liter) isochlor in all three aquifers.\r\n\r\nSimulation results indicate that, for 2003 withdrawals, the simulated -30-ft head contour in all three aquifers is generally within the boundary of the depleted zone, except in the Lower aquifer in northern Camden and northwestern Burlington Counties, and is generally 1 to 10 mi downdip from the 250-mg/L isochlor. (Corresponding observed data indicate that the -30-ft water-level contour extends beyond the southwest boundary of the depleted zone in the Upper and Middle aquifers, and is generally 5 to 20 mi downdip from the 250-mg/L isochlor in all three aquifers.) The area in which heads are below -30 ft ranges from 389 mi2 (square miles) in the Middle aquifer to 427 mi2 in the Lower aquifer. For full-allocation withdrawals, the simulated -30-ft head contour extends beyond the boundary of the depleted zone in all three aquifers in northern Camden and northwestern Burlington Counties and in the Upper aquifer in Gloucester and Salem Counties, and is generally 5 to 15 mi downdip from the 250-mg/L isochlor. The area in which heads are below -30 ft ranges from 616 mi2 in the Upper aquifer to 813 mi2 in the Lower aquifer. These results and observed data indicate that any increase in withdrawals from 2003 values would likely cause heads in the three aquifers to decline below the minimum values mandated by the NJDEP for the Critical Area.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085142","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Spitz, F.J., and dePaul, V., 2008, Recovery of Ground-Water Levels from 1988 to 2003 and Analysis of Effects of 2003 and Full-Allocation Withdrawals in Critical Area 2, Southern New Jersey: U.S. Geological Survey Scientific Investigations Report 2008-5142, vi, 29 p., https://doi.org/10.3133/sir20085142.","productDescription":"vi, 29 p.","onlineOnly":"Y","temporalStart":"1988-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":195666,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11838,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5142/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.5,37.5 ], [ -76.5,41.5 ], [ -72.5,41.5 ], [ -72.5,37.5 ], [ -76.5,37.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a84a9","contributors":{"authors":[{"text":"Spitz, Frederick J. 0000-0002-1391-2127 fspitz@usgs.gov","orcid":"https://orcid.org/0000-0002-1391-2127","contributorId":2777,"corporation":false,"usgs":true,"family":"Spitz","given":"Frederick","email":"fspitz@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":297309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"dePaul, Vincent T. 0000-0002-7977-5217","orcid":"https://orcid.org/0000-0002-7977-5217","contributorId":13972,"corporation":false,"usgs":true,"family":"dePaul","given":"Vincent T.","affiliations":[],"preferred":false,"id":297310,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86255,"text":"sir20085156 - 2008 - Hydrogeology, Water Chemistry, and Factors Affecting the Transport of Contaminants in the Zone of Contribution of a Public-Supply Well in Modesto, Eastern San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"sir20085156","displayToPublicDate":"2008-09-27T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5156","title":"Hydrogeology, Water Chemistry, and Factors Affecting the Transport of Contaminants in the Zone of Contribution of a Public-Supply Well in Modesto, Eastern San Joaquin Valley, California","docAbstract":"Ground-water chemistry in the zone of contribution of a public-supply well in Modesto, California, was studied by the U.S. Geological Survey National Water Quality Assessment (NAWQA) Program's topical team for Transport of Anthropogenic and Natural Contaminants (TANC) to supply wells. Twenty-three monitoring wells were installed in Modesto to record baseline hydraulic information and to collect water-quality samples. The monitoring wells were divided into four categories that represent the chemistry of different depths and volumes of the aquifer: (1) water-table wells were screened between 8.5 and 11.7 m (meter) (28 and 38.5 ft [foot]) below land surface (bls) and were within 5 m (16 ft) of the water table; (2) shallow wells were screened between 29 and 35 m (95 and 115 ft) bls; (3) intermediate wells were screened between 50.6 and 65.5 m (166 and 215 ft) bls; and (4) deep wells are screened between 100 to 106 m (328 and 348 ft) bls. Inorganic, organic, isotope, and age-dating tracers were used to characterize the geochemical conditions in the aquifer and understand the mechanisms of mobilization and movement of selected constituents from source areas to a public-supply well.\r\n\r\nThe ground-water system within the study area has been significantly altered by human activities. Water levels in monitoring wells indicated that horizontal movement of ground water was generally from the agricultural areas in the northeast towards a regional water-level depression within the city in the southwest. However, intensive pumping and irrigation recharge in the study area has caused large quantities of ground water to move vertically downward within the regional and local flow systems.\r\n\r\nAnalysis of age tracers indicated that ground-water age varied from recent recharge at the water table to more than 1,000 years in the deep part of the aquifer. The mean age of shallow ground water was determined to be between 30 and 40 years. Intermediate ground water was determined to be a mixture of modern (Post-1950) and old (Pre-1950) ground water. As a result, concentrations of age tracers were detectable but diluted by older ground water. Deep ground water generally represented water that was recharged under natural conditions and therefore had much older ages. Ground water reaching the public-supply well was a mixture of older intermediate and deep ground water and young shallow ground water that has been anthropogenically-influenced to a greater extent than intermediate ground water.\r\n\r\nUranium and nitrate pose the most significant threat to the quality of water discharged from the public-supply well. Although pesticides and VOCs were present in ground water from the public-supply well and monitoring wells, currently concentrations of these contaminants are generally less than one-hundredth the concentration of drinking water standards. In contrast, both uranium and nitrate were above half the concentration of drinking water standards for public-supply well samples, and were above drinking water standards for several water-table and shallow monitoring wells. Shallow ground water contributes roughly 20 percent of the total flow to the public-supply well and was the entry point of most contaminants reaching the public-supply well.\r\n\r\nNaturally-occurring uranium, which is commonly adsorbed to aquifer sediments, was mobilized by oxygen-rich, high-alkalinity water, causing concentrations in some monitoring wells to be above the drinking-water standard of 30 ug/L (microgram per liter). Adsorption experiments, sediment extractions, and uranium isotopes indicated uranium in water-table and shallow ground water was leached from aquifer sediments. Uranium is strongly correlated to bicarbonate concentrations (as measured by alkalinity) in ground water. Bicarbonate can effectively limit uranium adsorption to sediments. As a result, continued downward movement of high-alkalinity, oxygen-rich ground water will likely lead to larger portions of the aquifer having","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085156","collaboration":"Prepared in cooperation with National Water-Quality Assessment Program Transport of Anthropogenic and Natural Contaminants (TANC) to Public-Supply Wells","usgsCitation":"Jurgens, B., Burow, K.R., Dalgish, B.A., and Shelton, J.L., 2008, Hydrogeology, Water Chemistry, and Factors Affecting the Transport of Contaminants in the Zone of Contribution of a Public-Supply Well in Modesto, Eastern San Joaquin Valley, California: U.S. Geological Survey Scientific Investigations Report 2008-5156, xii, 78 p., https://doi.org/10.3133/sir20085156.","productDescription":"xii, 78 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":194989,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11837,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5156/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,37 ], [ -121.5,38 ], [ -120.25,38 ], [ -120.25,37 ], [ -121.5,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2de4b07f02db614899","contributors":{"authors":[{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":22454,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","affiliations":[],"preferred":false,"id":297307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burow, Karen R. 0000-0001-6006-6667 krburow@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":1504,"corporation":false,"usgs":true,"family":"Burow","given":"Karen","email":"krburow@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalgish, Barbara A.","contributorId":51402,"corporation":false,"usgs":true,"family":"Dalgish","given":"Barbara","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":297308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297305,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":86245,"text":"pp1746 - 2008 - Geographic Names of Iceland's Glaciers: Historic and Modern","interactions":[],"lastModifiedDate":"2012-02-10T00:11:49","indexId":"pp1746","displayToPublicDate":"2008-09-27T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1746","title":"Geographic Names of Iceland's Glaciers: Historic and Modern","docAbstract":"Climatic changes and resulting glacier fluctuations alter landscapes. In the past, such changes were noted by local residents who often documented them in historic annals; eventually, glacier variations were recorded on maps and scientific reports. In Iceland, 10 glacier place-names are to be found in Icelandic sagas, and one of Iceland's ice caps, Snaefellsjokull, appeared on maps of Iceland published in the 16th century. In the late 17th century, the first description of eight of Iceland's glaciers was written. Therefore, Iceland distinguishes itself in having a more than 300-year history of observations by Icelanders on its glaciers. A long-term collaboration between Oddur Sigurdsson and Richard S. Williams, Jr., led to the authorship of three books on the glaciers of Iceland. Much effort has been devoted to documenting historical glacier research and related nomenclature and to physical descriptions of Icelandic glaciers by Icelanders and other scientists from as far back as the Saga Age to recent (2008) times. The first book, Icelandic Ice Mountains, was published by the Icelandic Literary Society in 2004 in cooperation with the Icelandic Glaciological Society and the International Glaciological Society. Icelandic Ice Mountains was a glacier treatise written by Sveinn Palsson in 1795 and is the first English translation of this important scientific document. Icelandic Ice Mountains includes a Preface, including a summary of the history and facsimiles of page(s) from the original manuscript, a handwritten copy, and an 1815 manuscript (without maps and drawings) by Sveinn Palsson on the same subject which he wrote for Rev. Ebenezer Henderson; an Editor's Introduction; 82 figures, including facsimiles of Sveinn Palsson's original maps and perspective drawings, maps, and photographs to illustrate the text; a comprehensive Index of Geographic Place-Names and Other Names in the treatise; References, and 415 Endnotes.\r\n\r\nProfessional Paper 1746 (this book) is the second of the three books; it is being published in both English and Icelandic editions. This book provides information about all named glaciers in Iceland, historic and modern. Descriptions, with geographic coordinates, and bibliographic citations to all glacier place-names on published maps, books, and scientific articles are included. Maps, oblique aerial photographs, ground photographs, and satellite images document each of the 269 modern named glaciers of Iceland.\r\n\r\nThe third book, Glaciers of Iceland, is Chapter D of the 11-chapter [volume] U.S. Geological Survey Professional Paper 1386-A-K. Chapter D includes a 1:500,000-scale Map of the Glaciers of Iceland; it is a comprehensive historical and modern review and assessment of what is currently known about glaciers in Iceland's eight Regional Glacier Groups from a review of the scientific literature and from analysis of maps and remotely sensed data (ground, airborne, and satellite); topics include geology and geography, climate and climate variability, types of glaciers, history of glacier variation (including the 21 surge-type glaciers), and frequency and magnitude of volcanic and lacustrine jokulhlaups.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/pp1746","isbn":"9780607978159","collaboration":"Prepared in cooperation with the National Energy Authority (Iceland)","usgsCitation":"Sigurdsson, O., and Williams, R., 2008, Geographic Names of Iceland's Glaciers: Historic and Modern: U.S. Geological Survey Professional Paper 1746, Total: 246 p.; Report: x, 225 p.; Appendix: A1-A7, https://doi.org/10.3133/pp1746.","productDescription":"Total: 246 p.; Report: x, 225 p.; Appendix: A1-A7","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195078,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1746.jpg"},{"id":11827,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1746/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -25,63 ], [ -25,67 ], [ -13,67 ], [ -13,63 ], [ -25,63 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ce4b07f02db6a95b0","contributors":{"authors":[{"text":"Sigurdsson, Oddur","contributorId":38666,"corporation":false,"usgs":false,"family":"Sigurdsson","given":"Oddur","email":"","affiliations":[],"preferred":false,"id":297282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Richard S. Jr.","contributorId":90679,"corporation":false,"usgs":true,"family":"Williams","given":"Richard S.","suffix":"Jr.","affiliations":[],"preferred":false,"id":297283,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86238,"text":"ofr20081272 - 2008 - Source, Distribution, and Management of Arsenic in Water from Wells, Eastern San Joaquin Ground-Water Subbasin, California","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"ofr20081272","displayToPublicDate":"2008-09-27T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1272","title":"Source, Distribution, and Management of Arsenic in Water from Wells, Eastern San Joaquin Ground-Water Subbasin, California","docAbstract":"Between 1974 and 2001 water from as many as one-third of wells in the Eastern San Joaquin Ground Water Subbasin, about 80 miles east of San Francisco, had arsenic concentrations greater than the U.S. Environmental Protection Agency Maximum Contaminant Level (MCL) for arsenic of 10 micrograms per liter (ug/L). Water from some wells had arsenic concentrations greater than 60 ug/L. The sources of arsenic in the study area include (1) weathering of arsenic bearing minerals, (2) desorption of arsenic associated with iron and manganese oxide coatings on the surfaces of mineral grains at pH's greater than 7.6, and (3) release of arsenic through reductive dissolution of iron and manganese oxide coatings in the absence of oxygen. Reductive dissolution is responsible for arsenic concentrations greater than the MCL. The distribution of arsenic varied areally and with depth. Concentrations were lower near ground-water recharge areas along the foothills of the Sierra Nevada; whereas, concentrations were higher in deeper wells at the downgradient end of long flow paths near the margin of the San Joaquin Delta (fig. 1). Management opportunities to control high arsenic concentrations are present because water from the surface discharge of wells is a mixture of water from the different depths penetrated by wells. On the basis of well-bore flow and depth-dependent water-quality data collected as part of this study, the screened interval of a public-supply well having arsenic concentrations that occasionally exceed the MCL was modified to reduce arsenic concentrations in the surface discharge of the well. Arsenic concentrations from the modified well were about 7 ug/L. Simulations of ground-water flow to the well showed that although upward movement of high-arsenic water from depth within the aquifer occurred, arsenic concentrations from the well are expected to remain below the MCL.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081272","collaboration":"Prepared in cooperation with Northeastern San Joaquin Groundwater Banking Authority and California Department of Water Resources","usgsCitation":"Izbicki, J., Stamos, C., Metzger, L.F., Halford, K.J., Kulp, T., and Bennett, G.L., 2008, Source, Distribution, and Management of Arsenic in Water from Wells, Eastern San Joaquin Ground-Water Subbasin, California: U.S. Geological Survey Open-File Report 2008-1272, Report: 8 p.; Table 1: 1 p., https://doi.org/10.3133/ofr20081272.","productDescription":"Report: 8 p.; Table 1: 1 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":195193,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11820,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1272/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.75,37.5 ], [ -121.75,38.5 ], [ -120.5,38.5 ], [ -120.5,37.5 ], [ -121.75,37.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cde4b07f02db544bbb","contributors":{"authors":[{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":1375,"corporation":false,"usgs":true,"family":"Izbicki","given":"John A.","email":"jaizbick@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":297261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stamos, Christina L. 0000-0002-1007-9352","orcid":"https://orcid.org/0000-0002-1007-9352","contributorId":19593,"corporation":false,"usgs":true,"family":"Stamos","given":"Christina L.","affiliations":[],"preferred":false,"id":297263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metzger, Loren F. 0000-0003-2454-2966 lmetzger@usgs.gov","orcid":"https://orcid.org/0000-0003-2454-2966","contributorId":1378,"corporation":false,"usgs":true,"family":"Metzger","given":"Loren","email":"lmetzger@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":297262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kulp, Thomas R.","contributorId":58364,"corporation":false,"usgs":true,"family":"Kulp","given":"Thomas R.","affiliations":[],"preferred":false,"id":297264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennett, George L. V V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L. V","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297259,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":86253,"text":"sir20085168 - 2008 - Coeur d'Alene Lake, Idaho: Insights gained From limnological studies of 1991-92 and 2004-06","interactions":[],"lastModifiedDate":"2023-04-07T18:49:59.863372","indexId":"sir20085168","displayToPublicDate":"2008-09-27T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5168","title":"Coeur d'Alene Lake, Idaho: Insights gained From limnological studies of 1991-92 and 2004-06","docAbstract":"More than 100 years of mining and processing of metal-rich ores in northern Idaho’s Coeur d’Alene River basin have resulted in widespread metal contamination of the basin’s soil, sediment, water, and biota, including Coeur d’Alene Lake. Previous studies reported that about 85 percent of the bottom of Coeur d’Alene Lake is substantially enriched in antimony, arsenic, cadmium, copper, lead, mercury, silver, and zinc. Nutrients in the lake also are a major concern because they can change the lake’s trophic status—or level of biological productivity—which could result in secondary releases of metals from contaminated lakebed sediments. This report presents insights into the limnological functioning of Coeur d’Alene Lake based on information gathered during two large-scale limnological studies conducted during calendar years 1991–92 and water years 2004–06.
Both limnological studies reported that longitudinal gradients exist from north to south for decreasing water column transparency, loss of dissolved oxygen, and increasing total phosphorus concentrations. Gradients also exist for total lead, total zinc, and hypolimnetic dissolved oxygen concentrations, ranging from high concentrations in the central part of the lake to lower concentrations at the northern and southern ends of the lake. In the southern end of the lake, seasonal anoxia serves as a mechanism to release dissolved constituents such as phosphorus, nitrogen, iron, and manganese from lakebed sediments and from detrital material within the water column.
Nonparametric statistical hypothesis tests at a significance level of α=0.05 were used to compare analyte concentrations among stations, between lake zones, and between study periods. The highest dissolved oxygen concentrations were measured in winter in association with minimum water temperatures, and the lowest concentrations were measured in the Coeur d’Alene Lake hypolimnion during late summer or autumn as prolonged thermal stratification restricted mixing of the oxygenated upper water column and the hypolimnion, where oxygen was consumed. Large differences in median concentrations of dissolved inorganic nitrogen were measured between the euphotic zone and hypolimnion in the deep areas of the lake. These differences in nitrogen concentrations were attributable to several limnological processes, including seasonal inflow plume routing, isolation from wind-driven circulation and associated hypolimnetic enrichment, phytoplanktonic assimilation during summer months, and benthic flux.
Increased chlorophyll-a and total phosphorus concentrations were measured throughout the lake in the 2004–06 study compared with results from the 1991–92 study. No significant change in hypolimnetic dissolved inorganic nitrogen concentration throughout the lake was noted even though total nitrogen loads into the lake decreased between study periods. Total zinc and total lead decreased throughout the lake from the 1991-92 study to the 2004-06 study except in the southern part of the lake, where concentrations were typically low. Median detected nitrogen-to-phosphorus ratios decreased from the 1991–92 study to the 2004–06 study. Whereas the lake was clearly phosphorus-limited in 1991–92, in 2004–06 the lake may have been much closer to the boundary value of 7.2 that separates nitrogen from phosphorus limitation. However, due to changes in analytical reporting limits in the period between the two studies, the data are insufficiently certain to draw reliable conclusions with regard to limiting nutrients. For both studies, the trophic state of the lake was classified as oligotrophic (less productive) or mesotrophic (moderately productive), depending on the constituent used for classification.
Internal circulation from wind-generated waves and changes in the lake’s thermocline are important processes for distribution of water-quality constituents throughout Coeur d’Alene Lake. Surficial distribution of trace metals throughout most of the lake, including bays, is relatively uniform. Even south of the Coeur d’Alene River mouth, lakebed sediments are contaminated with trace metals. Inflow plume routing of the two primary inflow sources, the Coeur d’Alene and St. Joe Rivers, also significantly affects the fate and transport of contaminants. Most riverine inflows appear to move through the lake as overflow during summer, interflow during spring and autumn, and underflow during winter.
Benthic flux is another key transport process for contaminants in Coeur d’Alene Lake. The results of in situ benthic flux chamber experiments indicated movement of dissolved metals, nutrients, and dissolved organic carbon out of the lakebed sediments. However, the lake is an overall sink for these constituents when they are associated with particulate material.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085168","collaboration":"Prepared in cooperation with the Coeur d'Alene Tribe","usgsCitation":"Wood, M.S., and Beckwith, M.A., 2008, Coeur d'Alene Lake, Idaho: Insights gained From limnological studies of 1991-92 and 2004-06: U.S. Geological Survey Scientific Investigations Report 2008-5168, Report: viii, 41 p.; Appendixes, https://doi.org/10.3133/sir20085168.","productDescription":"Report: viii, 41 p.; Appendixes","temporalStart":"1991-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":123024,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5168.jpg"},{"id":11835,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5168/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","otherGeospatial":"Coeur d'Alene Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117,\n 47.25\n ],\n [\n -117,\n 47.75\n ],\n [\n -116.5,\n 47.75\n ],\n [\n -116.5,\n 47.25\n ],\n [\n -117,\n 47.25\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae99a","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":297302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beckwith, Michael A.","contributorId":66670,"corporation":false,"usgs":true,"family":"Beckwith","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":297303,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86248,"text":"ofr20081269 - 2008 - Protocol for monitoring metals in Ozark National Scenic Riverways, Missouri: Version 1.0","interactions":[],"lastModifiedDate":"2022-10-04T21:14:36.096306","indexId":"ofr20081269","displayToPublicDate":"2008-09-27T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1269","title":"Protocol for monitoring metals in Ozark National Scenic Riverways, Missouri: Version 1.0","docAbstract":"The National Park Service is developing a monitoring plan for the Ozark National Scenic Riverways in southeastern Missouri. Because of concerns about the release of lead, zinc, and other metals from lead-zinc mining to streams, the monitoring plan will include mining-related metals. After considering a variety of alternatives, the plan will consist of measuring the concentrations of cadmium, cobalt, lead, nickel, and zinc in composite samples of crayfish (Orconectes luteus or alternate species) and Asian clam (Corbicula fluminea) collected periodically from selected sites. This document, which comprises a protocol narrative and supporting standard operating procedures, describes the methods to be employed prior to, during, and after collection of the organisms, along with procedures for their chemical analysis and quality assurance; statistical analysis, interpretation, and reporting of the data; and for modifying the protocol narrative and supporting standard operating procedures. A list of supplies and equipment, data forms, and sample labels are also included. An example based on data from a pilot study is presented.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081269","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Schmitt, C.J., Brumbaugh, W.G., Besser, J.M., Hinck, J.E., Bowles, D.E., Morrison, L.W., and Williams, M.H., 2008, Protocol for monitoring metals in Ozark National Scenic Riverways, Missouri: Version 1.0 (Version 1.0): U.S. Geological Survey Open-File Report 2008-1269, vi, 43 p., https://doi.org/10.3133/ofr20081269.","productDescription":"vi, 43 p.","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":195541,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":407896,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84569.htm","linkFileType":{"id":5,"text":"html"}},{"id":341566,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1269/pdf/OF2008_1269.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":11830,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1269/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Missouri","otherGeospatial":"Ozark National Scenic Riverways","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.7167,\n 36.8167\n ],\n [\n -90.8611,\n 36.8167\n ],\n [\n -90.8611,\n 37.4547\n ],\n [\n -91.7167,\n 37.4547\n ],\n [\n -91.7167,\n 36.8167\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db687ebc","contributors":{"authors":[{"text":"Schmitt, Christopher J. 0000-0001-6804-2360 cjschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6804-2360","contributorId":491,"corporation":false,"usgs":true,"family":"Schmitt","given":"Christopher","email":"cjschmitt@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":297289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":297290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":297291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":38507,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"","middleInitial":"Ellen","affiliations":[],"preferred":false,"id":297293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowles, David E.","contributorId":8196,"corporation":false,"usgs":true,"family":"Bowles","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":297292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morrison, Lloyd W.","contributorId":76841,"corporation":false,"usgs":true,"family":"Morrison","given":"Lloyd","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":297294,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Michael H.","contributorId":84027,"corporation":false,"usgs":true,"family":"Williams","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":297295,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":86252,"text":"sir20085167 - 2008 - Statistical Stationarity of Sediment Interbed Thicknesses in a Basalt Aquifer, Idaho National Laboratory, Eastern Snake River Plain, Idaho","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"sir20085167","displayToPublicDate":"2008-09-27T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5167","title":"Statistical Stationarity of Sediment Interbed Thicknesses in a Basalt Aquifer, Idaho National Laboratory, Eastern Snake River Plain, Idaho","docAbstract":"The statistical stationarity of distributions of sedimentary interbed thicknesses within the southwestern part of the Idaho National Laboratory (INL) was evaluated within the stratigraphic framework of Quaternary sediments and basalts at the INL site, eastern Snake River Plain, Idaho. The thicknesses of 122 sedimentary interbeds observed in 11 coreholes were documented from lithologic logs and independently inferred from natural-gamma logs. Lithologic information was grouped into composite time-stratigraphic units based on correlations with existing composite-unit stratigraphy near these holes. The assignment of lithologic units to an existing chronostratigraphy on the basis of nearby composite stratigraphic units may introduce error where correlations with nearby holes are ambiguous or the distance between holes is great, but we consider this the best technique for grouping stratigraphic information in this geologic environment at this time. \r\n\r\nNonparametric tests of similarity were used to evaluate temporal and spatial stationarity in the distributions of sediment thickness. The following statistical tests were applied to the data: (1) the Kolmogorov-Smirnov (K-S) two-sample test to compare distribution shape, (2) the Mann-Whitney (M-W) test for similarity of two medians, (3) the Kruskal-Wallis (K-W) test for similarity of multiple medians, and (4) Levene's (L) test for the similarity of two variances.\r\n\r\nResults of these analyses corroborate previous work that concluded the thickness distributions of Quaternary sedimentary interbeds are locally stationary in space and time. The data set used in this study was relatively small, so the results presented should be considered preliminary, pending incorporation of data from more coreholes.\r\n\r\nStatistical tests also demonstrated that natural-gamma logs consistently fail to detect interbeds less than about 2-3 ft thick, although these interbeds are observable in lithologic logs. This should be taken into consideration when modeling aquifer lithology or hydraulic properties based on lithology.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085167","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Stroup, C.N., Welhan, J.A., and Davis, L.C., 2008, Statistical Stationarity of Sediment Interbed Thicknesses in a Basalt Aquifer, Idaho National Laboratory, Eastern Snake River Plain, Idaho: U.S. Geological Survey Scientific Investigations Report 2008-5167, vi, 21 p., https://doi.org/10.3133/sir20085167.","productDescription":"vi, 21 p.","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":124526,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5167.jpg"},{"id":11834,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5167/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,43 ], [ -114,44.25 ], [ -112,44.25 ], [ -112,43 ], [ -114,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685a54","contributors":{"authors":[{"text":"Stroup, Caleb N.","contributorId":79190,"corporation":false,"usgs":true,"family":"Stroup","given":"Caleb","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":297301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welhan, John A.","contributorId":12128,"corporation":false,"usgs":true,"family":"Welhan","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":297300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Linda C. lcdavis@usgs.gov","contributorId":2539,"corporation":false,"usgs":true,"family":"Davis","given":"Linda","email":"lcdavis@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297299,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86258,"text":"tm2E3 - 2008 - USGS Polar Temperature Logging System, Description and Measurement Uncertainties","interactions":[],"lastModifiedDate":"2012-02-02T00:14:25","indexId":"tm2E3","displayToPublicDate":"2008-09-27T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2-E3","title":"USGS Polar Temperature Logging System, Description and Measurement Uncertainties","docAbstract":"This paper provides an updated technical description of the USGS Polar Temperature Logging System (PTLS) and a complete assessment of the measurement uncertainties. This measurement system is used to acquire subsurface temperature data for climate-change detection in the polar regions and for reconstructing past climate changes using the 'borehole paleothermometry' inverse method. Specifically designed for polar conditions, the PTLS can measure temperatures as low as -60 degrees Celsius with a sensitivity ranging from 0.02 to 0.19 millikelvin (mK). A modular design allows the PTLS to reach depths as great as 4.5 kilometers with a skid-mounted winch unit or 650 meters with a small helicopter-transportable unit. The standard uncertainty (uT) of the ITS-90 temperature measurements obtained with the current PTLS range from 3.0 mK at -60 degrees Celsius to 3.3 mK at 0 degrees Celsius. Relative temperature measurements used for borehole paleothermometry have a standard uncertainty (urT) whose upper limit ranges from 1.6 mK at -60 degrees Celsius to 2.0 mK at 0 degrees Celsius. The uncertainty of a temperature sensor's depth during a log depends on specific borehole conditions and the temperature near the winch and thus must be treated on a case-by-case basis. However, recent experience indicates that when logging conditions are favorable, the 4.5-kilometer system is capable of producing depths with a standard uncertainty (uZ) on the order of 200-250 parts per million.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/tm2E3","usgsCitation":"Clow, G.D., 2008, USGS Polar Temperature Logging System, Description and Measurement Uncertainties (Version 1.0): U.S. Geological Survey Techniques and Methods 2-E3, iv, 25 p., https://doi.org/10.3133/tm2E3.","productDescription":"iv, 25 p.","onlineOnly":"Y","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":124394,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_2_e3.gif"},{"id":11840,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/02e03/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a28e4b07f02db6115f0","contributors":{"authors":[{"text":"Clow, Gary D. 0000-0002-2262-3853 clow@usgs.gov","orcid":"https://orcid.org/0000-0002-2262-3853","contributorId":2066,"corporation":false,"usgs":true,"family":"Clow","given":"Gary","email":"clow@usgs.gov","middleInitial":"D.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":297313,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":86254,"text":"sir20085169 - 2008 - Laboratory-Measured and Property-Transfer Modeled Saturated Hydraulic Conductivity of Snake River Plain Aquifer Sediments at the Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"sir20085169","displayToPublicDate":"2008-09-27T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5169","title":"Laboratory-Measured and Property-Transfer Modeled Saturated Hydraulic Conductivity of Snake River Plain Aquifer Sediments at the Idaho National Laboratory, Idaho","docAbstract":"Sediments are believed to comprise as much as 50 percent of the Snake River Plain aquifer thickness in some locations within the Idaho National Laboratory. However, the hydraulic properties of these deep sediments have not been well characterized and they are not represented explicitly in the current conceptual model of subregional scale ground-water flow. The purpose of this study is to evaluate the nature of the sedimentary material within the aquifer and to test the applicability of a site-specific property-transfer model developed for the sedimentary interbeds of the unsaturated zone. Saturated hydraulic conductivity (Ksat) was measured for 10 core samples from sedimentary interbeds within the Snake River Plain aquifer and also estimated using the property-transfer model. The property-transfer model for predicting Ksat was previously developed using a multiple linear-regression technique with bulk physical-property measurements (bulk density [pbulk], the median particle diameter, and the uniformity coefficient) as the explanatory variables. The model systematically underestimates Ksat,typically by about a factor of 10, which likely is due to higher bulk-density values for the aquifer samples compared to the samples from the unsaturated zone upon which the model was developed. Linear relations between the logarithm of Ksat and pbulk also were explored for comparison.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085169","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Perkins, K.S., 2008, Laboratory-Measured and Property-Transfer Modeled Saturated Hydraulic Conductivity of Snake River Plain Aquifer Sediments at the Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2008-5169, iv, 15 p., https://doi.org/10.3133/sir20085169.","productDescription":"iv, 15 p.","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":195787,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11836,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5169/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,43 ], [ -114,44.25 ], [ -112,44.25 ], [ -112,43 ], [ -114,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b43c4","contributors":{"authors":[{"text":"Perkins, Kim S.","contributorId":106963,"corporation":false,"usgs":true,"family":"Perkins","given":"Kim","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":297304,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}