{"pageNumber":"824","pageRowStart":"20575","pageSize":"25","recordCount":46730,"records":[{"id":80943,"text":"sir20085009 - 2008 - Evaluation of a Single-Beam Sonar System to Map Seagrass at Two Sites in Northern Puget Sound, Washington","interactions":[],"lastModifiedDate":"2012-02-10T00:11:47","indexId":"sir20085009","displayToPublicDate":"2008-02-14T00:00:00","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":"2008-5009","title":"Evaluation of a Single-Beam Sonar System to Map Seagrass at Two Sites in Northern Puget Sound, Washington","docAbstract":"Seagrass at two sites in northern Puget Sound, Possession Point and nearby Browns Bay, was mapped using both a single-beam sonar and underwater video camera. The acoustic and underwater video data were compared to evaluate the accuracy of acoustic estimates of seagrass cover. The accuracy of the acoustic method was calculated for three classifications of seagrass observed in underwater video: bare (no seagrass), patchy seagrass, and continuous seagrass. Acoustic and underwater video methods agreed in 92 percent and 74 percent of observations made in bare and continuous areas, respectively. However, in patchy seagrass, the agreement between acoustic and underwater video was poor (43 percent). The poor agreement between the two methods in areas with patchy seagrass is likely because the two instruments were not precisely colocated.\r\n\r\nThe distribution of seagrass at the two sites differed both in overall percent vegetated and in the distribution of percent cover versus depth. On the basis of acoustic data, seagrass inhabited 0.29 km2 (19 percent of total area) at Possession Point and 0.043 km2 (5 percent of total area) at the Browns Bay study site. The depth distribution at the two sites was markedly different. Whereas the majority of seagrass at Possession Point occurred between -0.5 and -1.5 m MLLW, most seagrass at Browns Bay occurred at a greater depth, between -2.25 and -3.5 m MLLW. Further investigation of the anthropogenic and natural factors causing these differences in distribution is needed.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085009","usgsCitation":"Stevens, A., Lacy, J.R., Finlayson, D.P., and Gelfenbaum, G., 2008, Evaluation of a Single-Beam Sonar System to Map Seagrass at Two Sites in Northern Puget Sound, Washington (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5009, vi, 45 p., https://doi.org/10.3133/sir20085009.","productDescription":"vi, 45 p.","onlineOnly":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":195510,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10799,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5009/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5,47.75 ], [ -122.5,48 ], [ -122.25,48 ], [ -122.25,47.75 ], [ -122.5,47.75 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db625753","contributors":{"authors":[{"text":"Stevens, Andrew W.","contributorId":89093,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew W.","affiliations":[],"preferred":false,"id":293921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lacy, Jessica R. 0000-0002-2797-6172 jlacy@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":3158,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"jlacy@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":293919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":293918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gelfenbaum, Guy","contributorId":79844,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","affiliations":[],"preferred":false,"id":293920,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80942,"text":"ofr20081003 - 2008 - Preliminary Gravity and Ground Magnetic Data in the Arbuckle Uplift near Sulphur, Oklahoma","interactions":[],"lastModifiedDate":"2012-02-10T00:11:49","indexId":"ofr20081003","displayToPublicDate":"2008-02-12T00:00:00","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":"2008-1003","title":"Preliminary Gravity and Ground Magnetic Data in the Arbuckle Uplift near Sulphur, Oklahoma","docAbstract":"Improving knowledge of the geology and geophysics of the Arbuckle Uplift in south-central Oklahoma is a goal of the Framework Geology of Mid-Continent Carbonate Aquifers project sponsored by the United States Geological Survey (USGS) National Cooperative Geologic Mapping Program (NCGMP). In May 2007, we collected ground magnetic and gravity observations in the Hunton Anticline region of the Arbuckle Uplift, near Sulphur, Oklahoma. These observations complement prior gravity data collected for a project sponsored by the National Park Service and helicopter electromagnetic (HEM) and aeromagnetic data collected in March 2007 for the NCGMP project. This report describes the instrumentation and processing that was utilized in the May 2007 geophysical fieldwork, and it presents preliminary results as gravity anomaly maps and magnetic anomaly profiles. Digital tables of gravity and magnetic observations are provided as a supplement to this report. Future work will generate interpretive models of these anomalies and will involve joint analysis of these ground geophysical measurements with airborne and other geophysical and geological observations, with the goal of understanding the geological structures influencing the hydrologic properties of the Arbuckle-Simpson aquifer.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081003","usgsCitation":"Scheirer, D., and Aboud, E., 2008, Preliminary Gravity and Ground Magnetic Data in the Arbuckle Uplift near Sulphur, Oklahoma (Version 1.0): U.S. Geological Survey Open-File Report 2008-1003, Report: iv, 34 p.; Data, https://doi.org/10.3133/ofr20081003.","productDescription":"Report: iv, 34 p.; Data","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":314,"text":"Geophysics Unit of Menlo Park, CA (GUMP)","active":false,"usgs":true}],"links":[{"id":195138,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10798,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1003/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.6,34.1 ], [ -97.6,34.9 ], [ -96.3,34.9 ], [ -96.3,34.1 ], [ -97.6,34.1 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c523","contributors":{"authors":[{"text":"Scheirer, Daniel S. dscheirer@usgs.gov","contributorId":2325,"corporation":false,"usgs":true,"family":"Scheirer","given":"Daniel S.","email":"dscheirer@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":293916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aboud, Essam","contributorId":98831,"corporation":false,"usgs":true,"family":"Aboud","given":"Essam","email":"","affiliations":[],"preferred":false,"id":293917,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80939,"text":"fs20073092 - 2008 - Monitoring the Earth's dynamic magnetic field","interactions":[],"lastModifiedDate":"2018-10-29T11:10:55","indexId":"fs20073092","displayToPublicDate":"2008-02-09T00:00:00","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":"2007-3092","title":"Monitoring the Earth's dynamic magnetic field","docAbstract":"The mission of the U.S. Geological Survey's Geomagnetism Program is to monitor the Earth's magnetic field. Using ground-based observatories, the Program provides continuous records of magnetic field variations covering long timescales; disseminates magnetic data to various governmental, academic, and private institutions; and conducts research into the nature of geomagnetic variations for purposes of scientific understanding and hazard mitigation. The program is an integral part of the U.S. Government's National Space Weather Program (NSWP), which also includes programs in the National Aeronautics and Space Administration (NASA), the Department of Defense (DOD), the National Oceanic and Atmospheric Administration (NOAA), and the National Science Foundation (NSF). The NSWP works to provide timely, accurate, and reliable space weather warnings, observations, specifications, and forecasts, and its work is important for the U.S. economy and national security.\r\n\r\nPlease visit the National Geomagnetism Program?s website, http://geomag.usgs.gov, where you can learn more about the Program and the science of geomagnetism. You can find additional related information at the Intermagnet website, http://www.intermagnet.org.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20073092","usgsCitation":"Love, J.J., Applegate, D., and Townshend, J.B., 2008, Monitoring the Earth's dynamic magnetic field (Version 1.0): U.S. Geological Survey Fact Sheet 2007-3092, 2 p., https://doi.org/10.3133/fs20073092.","productDescription":"2 p.","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":121180,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3092.jpg"},{"id":10794,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3092/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a541c","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":293903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Applegate, David 0000-0001-5570-3449 applegate@usgs.gov","orcid":"https://orcid.org/0000-0001-5570-3449","contributorId":263,"corporation":false,"usgs":true,"family":"Applegate","given":"David","email":"applegate@usgs.gov","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":293902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Townshend, John B.","contributorId":70383,"corporation":false,"usgs":true,"family":"Townshend","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":293904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80929,"text":"ofr20081025 - 2008 - Fecal-indicator bacteria and <i>Escherichia coli</i> pathogen data collected near a novel sub-irrigation water-treatment system in Lenawee County, Michigan, June-November 2007","interactions":[],"lastModifiedDate":"2019-09-18T16:17:48","indexId":"ofr20081025","displayToPublicDate":"2008-02-09T00:00:00","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":"2008-1025","title":"Fecal-indicator bacteria and <i>Escherichia coli</i> pathogen data collected near a novel sub-irrigation water-treatment system in Lenawee County, Michigan, June-November 2007","docAbstract":"<p class=\"body\">The U.S. Geological Survey, in cooperation with the Lenawee County Conservation District in Lenawee County, Mich., conducted a sampling effort over a single growing season (June to November 2007) to evaluate the microbiological water quality around a novel livestock reservoir wetland sub-irrigation system. Samples were collected and analyzed for fecal coliform bacteria, <i>Escherichia coli</i> (<i>E. coli</i>) bacteria, and six genes from pathogenic strains of <i>E. coli</i>.</p><p class=\"body\">A total of 73 water-quality samples were collected on nine occasions from June to November 2007. These samples were collected within the surface water, shallow ground water, and the manure-treatment system near Bakerlads Farm near Clayton in Lenawee County, Mich. Fecal coliform bacteria concentrations ranged from 10 to 1.26 million colony forming units per 100 milliliters (CFU/100 mL). <i>E. coli</i> bacteria concentrations ranged from 8 to 540,000 CFU/100 mL. Data from the <i>E. coli</i> pathogen analysis showed that 73 percent of samples contained the <i>eaeA</i> gene, 1 percent of samples contained the <i>stx2</i> gene, 37 percent of samples contained the <i>stx1</i> gene, 21 percent of samples contained the <i>rfb</i>O157 gene, and 64 percent of samples contained the LTIIa gene.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081025","collaboration":"Prepared in cooperation with Lenawee County Conservation District","usgsCitation":"Duris, J.W., and Beeler, S., 2008, Fecal-indicator bacteria and <i>Escherichia coli</i> pathogen data collected near a novel sub-irrigation water-treatment system in Lenawee County, Michigan, June-November 2007: U.S. Geological Survey Open-File Report 2008-1025, iv, 13 p., https://doi.org/10.3133/ofr20081025.","productDescription":"iv, 13 p.","onlineOnly":"Y","temporalStart":"2007-06-01","temporalEnd":"2007-11-30","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":190890,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20081025.JPG"},{"id":10784,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1025/","linkFileType":{"id":5,"text":"html"}},{"id":367525,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1025/pdf/OFR2008-1025_text.pdf"}],"country":"United States","state":"Michigan","county":"Lenawee County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.241111,\n              41.876389\n            ],\n            [\n              -84.241111,\n              41.871111\n            ],\n            [\n              -84.232222,\n              41.871111\n            ],\n            [\n              -84.232222,\n              41.876389\n            ],\n            [\n              -84.241111,\n              41.876389\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e4e4b07f02db5e63d0","contributors":{"authors":[{"text":"Duris, Joseph W. 0000-0002-8669-8109 jwduris@usgs.gov","orcid":"https://orcid.org/0000-0002-8669-8109","contributorId":1981,"corporation":false,"usgs":true,"family":"Duris","given":"Joseph","email":"jwduris@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beeler, Stephanie","contributorId":106986,"corporation":false,"usgs":true,"family":"Beeler","given":"Stephanie","email":"","affiliations":[],"preferred":false,"id":293871,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80931,"text":"sir20075253 - 2008 - Potentiometric Surfaces in the Springfield Plateau and Ozark Aquifers of Northwestern Arkansas, Southeastern Kansas, Southwestern Missouri, and Northeastern Oklahoma, 2006","interactions":[],"lastModifiedDate":"2012-02-10T00:11:42","indexId":"sir20075253","displayToPublicDate":"2008-02-09T00:00:00","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":"2007-5253","title":"Potentiometric Surfaces in the Springfield Plateau and Ozark Aquifers of Northwestern Arkansas, Southeastern Kansas, Southwestern Missouri, and Northeastern Oklahoma, 2006","docAbstract":"The Springfield Plateau and Ozark aquifers are important sources of ground water in the Ozark Plateaus aquifer system. Water from these aquifers is used for agricultural, domestic, industrial, and municipal water sources. Changing water use over time in these aquifers presents a need for updated potentiometric-surface maps of the Springfield Plateau and Ozark aquifers.\r\n\r\nThe Springfield Plateau aquifer consists of water-bearing Mississippian-age limestone and chert. The Ozark aquifer consists of Late Cambrian to Middle Devonian age water-bearing rocks consisting of dolostone, limestone, and sandstone. Both aquifers are complex with areally varying lithologies, discrete hydrologic units, varying permeabilities, and secondary permeabilities related to fractures and karst features.\r\n\r\nDuring the spring of 2006, ground-water levels were measured in 285 wells. These data, and water levels from selected lakes, rivers, and springs, were used to create potentiometric-surface maps for the Springfield Plateau and Ozark aquifers. Linear kriging was used initially to construct the water-level contours on the maps; the contours were subsequently modified using hydrologic judgment. The potentiometric-surface maps presented in this report represent ground-water conditions during the spring of 2006. During the spring of 2006, the region received less than average rainfall. Dry conditions prior to the spring of 2006 could have contributed to the observed water levels as well.\r\n\r\nThe potentiometric-surface map of the Springfield Plateau aquifer shows a maximum measured water-level altitude within the study area of about 1,450 feet at a spring in Barry County, Missouri, and a minimum measured water-level altitude of 579 feet at a well in Ottawa County, Oklahoma. Cones of depression occur in Dade, Lawrence and Newton Counties in Missouri and Delaware and Ottawa Counties in Oklahoma. These cones of depression are associated with private wells. Ground water in the Springfield Plateau aquifer generally flows to the west in the study area, and to surface features (lakes, rivers, and springs) particularly in the south and east of the study area where the Springfield Plateau aquifer is closest to land surface.\r\n\r\nThe potentiometric-surface map of the Ozark aquifer indicates a maximum measured water-level altitude of 1,303 feet in the study area at a well in Washington County, Arkansas, and a minimum measured water-level altitude of 390 feet in Ottawa County, Oklahoma. The water in the Ozark aquifer generally flows to the northwest in the northern part of the study area and to the west in the remaining study area. Cones of depression occur in Barry, Barton, Cedar, Jasper, Lawrence, McDonald, Newton, and Vernon Counties in Missouri, Cherokee and Crawford Counties in Kansas, and Craig and Ottawa Counties in Oklahoma. These cones of depression are associated with municipal supply wells. The flow directions, based on both potentiometric-surface maps, generally agree with flow directions indicated by previous studies.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075253","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Gillip, J.A., Czarnecki, J.B., and Mugel, D.N., 2008, Potentiometric Surfaces in the Springfield Plateau and Ozark Aquifers of Northwestern Arkansas, Southeastern Kansas, Southwestern Missouri, and Northeastern Oklahoma, 2006 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2007-5253, iv, 28 p., https://doi.org/10.3133/sir20075253.","productDescription":"iv, 28 p.","onlineOnly":"Y","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190729,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10786,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5253/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.25,34.5 ], [ -96.25,39.5 ], [ -89,39.5 ], [ -89,34.5 ], [ -96.25,34.5 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b28e4b07f02db6b16cb","contributors":{"authors":[{"text":"Gillip, Jonathan A. jgillip@usgs.gov","contributorId":3222,"corporation":false,"usgs":true,"family":"Gillip","given":"Jonathan","email":"jgillip@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Czarnecki, John B. jczarnec@usgs.gov","contributorId":2555,"corporation":false,"usgs":true,"family":"Czarnecki","given":"John","email":"jczarnec@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":293882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mugel, Douglas N. dmugel@usgs.gov","contributorId":290,"corporation":false,"usgs":true,"family":"Mugel","given":"Douglas","email":"dmugel@usgs.gov","middleInitial":"N.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293881,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80932,"text":"ofr20081022 - 2008 - Summary of Survival Data from Juvenile Coho Salmon in the Klamath River, Northern California, 2007","interactions":[],"lastModifiedDate":"2012-02-02T00:14:17","indexId":"ofr20081022","displayToPublicDate":"2008-02-09T00:00:00","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":"2008-1022","title":"Summary of Survival Data from Juvenile Coho Salmon in the Klamath River, Northern California, 2007","docAbstract":"A study to estimate the effects of Iron Gate Dam discharge on ESA-listed juvenile coho salmon during their seaward migration to the ocean was begun in 2005. Estimates of survival through various reaches of river downstream from the dam were completed in 2006 and 2007 as part of this process. This report describes the estimates of survival during 2007, and is a complement to a similar report from 2006. Further analyses will be included in a separate report. In 2007, a series of models were evaluated to determine what survival and capture probabilities of radio-tagged hatchery fish were in several reaches between Iron Gate Hatchery at river kilometer 309 and a site at river kilometer 33. The results indicate trends in survival among reaches were similar to those found in 2006, but the survival in 2007 was lower than in 2006. The differences in survivals from Iron Gate Hatchery to river kilometer 33 in 2006 (0.653 SE 0.039) and 2007 (0.497 SE 0.044) were caused primarily by differences in survivals upstream from the Scott River. This document is a brief summary of 2007 survival results.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081022","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Beeman, J.W., 2008, Summary of Survival Data from Juvenile Coho Salmon in the Klamath River, Northern California, 2007: U.S. Geological Survey Open-File Report 2008-1022, iii, 7 p., https://doi.org/10.3133/ofr20081022.","productDescription":"iii, 7 p.","temporalStart":"2007-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":190606,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10787,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1022/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db6994b1","contributors":{"authors":[{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":293884,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80933,"text":"sir20075284 - 2008 - Application of Geographic Information System Methods to Identify Areas Yielding Water that will be Replaced by Water from the Colorado River in the Vidal and Chemehuevi Areas, California, and the Mohave Mesa Area, Arizona","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"sir20075284","displayToPublicDate":"2008-02-09T00:00:00","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":"2007-5284","title":"Application of Geographic Information System Methods to Identify Areas Yielding Water that will be Replaced by Water from the Colorado River in the Vidal and Chemehuevi Areas, California, and the Mohave Mesa Area, Arizona","docAbstract":"Relations between the elevation of the static water level in wells and the elevation of the accounting surface within the Colorado River aquifer in the vicinity of Vidal, California, the Chemehuevi Indian Reservation, California, and on Mohave Mesa, Arizona, were used to determine which wells outside the flood plain of the Colorado River are presumed to yield water that will be replaced by water from the Colorado River. Wells that have a static water-level elevation equal to or below the elevation of the accounting surface are presumed to yield water that will be replaced by water from the Colorado River. Geographic Information System (GIS) interpolation tools were used to produce maps of areas where water levels are above, below, and near (within ? 0.84 foot) the accounting surface.\r\n\r\nCalculated water-level elevations and interpolated accounting-surface elevations were determined for 33 wells in the vicinity of Vidal, 16 wells in the Chemehuevi area, and 35 wells on Mohave Mesa. Water-level measurements generally were taken in the last 10 years with steel and electrical tapes accurate to within hundredths of a foot. A Differential Global Positioning System (DGPS) was used to determine land-surface elevations to within an operational accuracy of ? 0.43 foot, resulting in calculated water-level elevations having a 95-percent confidence interval of ? 0.84 foot.\r\n\r\nIn the Vidal area, differences in elevation between the accounting surface and measured water levels range from -2.7 feet below to as much as 17.6 feet above the accounting surface. Relative differences between the elevation of the water level and the elevation of the accounting surface decrease from west to east and from north to south. In the Chemehuevi area, differences in elevation range from -3.7 feet below to as much as 8.7 feet above the accounting surface, which is established at 449.6 feet in the vicinity of Lake Havasu. In all of the Mohave Mesa area, the water-level elevation is near or below the elevation of the accounting surface. Differences in elevation between water levels and the accounting surface range from -0.2 to -11.3 feet, with most values exceeding -7.0 feet.\r\n\r\nIn general, the ArcGIS Triangulated Irregular Network (TIN) Contour and Natural Neighbor tools reasonably represent areas where the elevation of water levels in wells is above, below, and near (within ? 0.84 foot) the elevation of the accounting surface in the Vidal and Chemehuevi study areas and accurately delineate areas around outlying wells and where anomalies exist. The TIN Contour tool provides a strict linear interpolation while the Natural Neighbor tool provides a smoothed interpolation. Using the default options in ArcGIS, the Inverse Distance Weighted (IDW) and Spline tools also reasonably represent areas above, below, and near the accounting surface in the Vidal and Chemehuevi areas. However, spatial extent of and boundaries between areas above, below, and near the accounting surface vary among the GIS methods, which results largely from the fundamentally different mathematical approaches used by these tools. The limited number and spatial distribution of wells in comparison to the size of the areas, and the locations and relative differences in elevation between water levels and the accounting surface of wells with anomalous water levels also influence the contouring by each of these methods. Qualitatively, the Natural Neighbor tool appears to provide the best representation of the difference between water-level and accounting-surface elevations in the study areas, on the basis of available well data.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075284","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Spangler, L.E., Angeroth, C.E., and Walton, S.J., 2008, Application of Geographic Information System Methods to Identify Areas Yielding Water that will be Replaced by Water from the Colorado River in the Vidal and Chemehuevi Areas, California, and the Mohave Mesa Area, Arizona: U.S. Geological Survey Scientific Investigations Report 2007-5284, vi, 38 p., https://doi.org/10.3133/sir20075284.","productDescription":"vi, 38 p.","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":125746,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5284.jpg"},{"id":10788,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5284/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115,34 ], [ -115,35.25 ], [ -113.75,35.25 ], [ -113.75,34 ], [ -115,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67ab94","contributors":{"authors":[{"text":"Spangler, Lawrence E. 0000-0003-3928-8809 spangler@usgs.gov","orcid":"https://orcid.org/0000-0003-3928-8809","contributorId":973,"corporation":false,"usgs":true,"family":"Spangler","given":"Lawrence","email":"spangler@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angeroth, Cory E. 0000-0002-2915-6418 angeroth@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-6418","contributorId":2105,"corporation":false,"usgs":true,"family":"Angeroth","given":"Cory","email":"angeroth@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton, Sarah J.","contributorId":107003,"corporation":false,"usgs":true,"family":"Walton","given":"Sarah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":293887,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80934,"text":"sir20075136 - 2008 - Occurrence of organic compounds and trace elements in the upper Passaic and Elizabeth Rivers and their tributaries in New Jersey, July 2003 to February 2004: Phase II of the New Jersey toxics reduction workplan for New York-New Jersey Harbor","interactions":[],"lastModifiedDate":"2024-10-29T21:23:29.768045","indexId":"sir20075136","displayToPublicDate":"2008-02-09T00:00:00","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":"2007-5136","title":"Occurrence of organic compounds and trace elements in the upper Passaic and Elizabeth Rivers and their tributaries in New Jersey, July 2003 to February 2004: Phase II of the New Jersey toxics reduction workplan for New York-New Jersey Harbor","docAbstract":"<p>Samples of surface water and suspended sediment were collected from the Passaic and Elizabeth Rivers and their tributaries in New Jersey from July 2003 to February 2004 to determine the concentrations of selected chlorinated organic and inorganic constituents. This sampling and analysis was conducted as Phase II of the New York-New Jersey Harbor Estuary Workplan—Contaminant Assessment and Reduction Program (CARP), which is overseen by the New Jersey Department of Environmental Protection. Phase II of the New Jersey Workplan was conducted to define upstream tributary and point sources of contaminants in those rivers sampled during Phase I work, with special emphasis on the Passaic and Elizabeth Rivers. Samples were collected from three groups of tributaries: (1) the Second, Third, and Saddle Rivers; (2) the Pompton and upper Passaic Rivers; and (3) the West Branch and main stem of the Elizabeth River. The Second, Third, and Saddle Rivers were sampled near their confluence with the tidal Passaic River, but at locations not affected by tidal flooding. The Pompton and upper Passaic Rivers were sampled immediately upstream from their confluence at Two Bridges, N.J. The West Branch and the main stem of the Elizabeth River were sampled just upstream from their confluence at Hillside, N.J. All tributaries were sampled during low-flow discharge conditions using the protocols and analytical methods for organic constituents used in low-flow sampling in Phase I. Grab samples of streamflow also were collected at each site and were analyzed for trace elements (mercury, methylmercury, cadmium, and lead) and for suspended sediment, particulate organic carbon, and dissolved organic carbon. The measured concentrations and available historical suspended-sediment and stream-discharge data (where available) were used to estimate average annual loads of suspended sediment and organic compounds in these rivers.</p><p>Total suspended-sediment loads for 1975–2000 were estimated using rating curves developed from historical U.S. Geological Survey (USGS) suspended-sediment and discharge data, where available. Average annual loads of suspended sediment, in millions of kilograms per year (Mkg/yr), were estimated to be 0.190 for the Second River, 0.23 for the Third River, 1.00 for the Saddle River, 1.76 for the Pompton River, and 7.40 for the upper Passaic River.</p><p>On the basis of the available discharge records, the upper Passaic River was estimated to provide approximately 60 percent of the water and 80 percent of the total suspended-sediment load at the Passaic River head-of-tide, whereas the Pompton River provided roughly 20 percent of the total suspended-sediment load estimated at the head-of-tide. The combined suspended-sediment loads of the upper Passaic and Pompton Rivers (9.2 Mkg/yr), however, represent only 40 percent of the average annual suspended-sediment load estimated for the head-of-tide (23 Mkg/yr) at Little Falls, N.J. The difference between the combined suspended-sediment loads of the tributaries and the estimated load at Little Falls represents either sediment trapped upriver from the dam at Little Falls, additional inputs of suspended sediment downstream from the tributary confluence, or uncertainty in the suspended-sediment and discharge data that were used.</p><p>The concentrations of total suspended sediment-bound polychlorinated biphenyls (PCBs) in the tributaries to the Passaic River were 194 ng/g (nanograms per gram) in the Second River, 575 ng/g in the Third River, 2,320 ng/g in the Saddle River, 200 ng/g in the Pompton River, and 87 ng/g in the upper Passic River. The dissolved PCB concentrations in the tributaries were 563 pg/L (picograms per liter) in the Second River, 2,510 pg/L in the Third River, 2,270 pg/L in the Saddle River, 887 pg/L in the Pompton River, and 1,000 pg/L in the upper Passaic River. Combined with the sediment loads and discharge, these concentrations resulted in annual loads of suspended sediment-bound PCBs, in grams per year (g/yr), of 37 in the Second River; 132 in the Third River; 2,320 in the Saddle River; 352 in the Pompton River; and 644 in the upper Passaic River. Annual loads of dissolved PCBs, in grams per year, are 9.2 in the Second River; 47 in the Third River; 212 in the Saddle River; 349 in the Pompton River; and 549 in the upper Passaic River.</p><p>Concentrations of total suspended sediment-bound polychlorinated dibenzo-p-dioxins and polychlorinated dibenzo-p-difurans (PCDD/PCDFs) were 6,000 pg/g (picograms per gram) in the Second River; 11,300 pg/g in the Third River; 37,700 pg/g in the Saddle River; 7,140 pg/g in the Pompton River; and 9,640 pg/g in the upper Passaic River. Total toxic equivalence quotients (TEQs), which included PCDD/PCDFs and coplanar PCBs, ranged from 2.7 pg/g in the Second River to 132 pg/g (as 2,3,7,8-TCDD) in the Saddle River. Average annual loads of PCDD/PCDFs were from 1.1 g/yr in the Second River to 71 g/yr in the upper Passaic River. The load of TEQs (as 2,3,7,8-TCDD) from PCDD/PCDFs and coplanar PCBs in the tributaries were 0.5 mg/yr (milligrams per year) in the Second River, 5.8 mg/yr in the Third River, 130 mg/yr in the Saddle River, 46 mg/yr in the Pompton River, and 100 mg/yr in the upper Passaic River. These loads represent an addition to the TEQ load estimated to cross the head-of-tide of 0.1 percent by the Second River, 0.7 percent by the Third River, and 15 percent by the Saddle River.</p><p>Loads of sediment-bound trace elements mercury, methylmercury, lead, and cadmium were calculated using concentrations obtained from grab samples, which were assumed to represent average annual concentrations in these rivers. Loads of sediment-bound mercury were estimated to be 1,200 g/yr in the Second River; 130 g/yr in the Third River; 4,200 g/yr in the Saddle River; 3,400 g/yr in the Pompton River; and 6,500 g/yr in the upper Passaic River. Loads of sediment-bound lead were estimated to be 56 kg/yr (kilograms per year) in the Second River; 89 kg/yr in the Third River; 1,140 kg/yr in the Saddle River; 310 kg/yr in the Pompton River; and 1,040 kg/yr in the upper Passaic River. Loads of sediment-bound cadmium were estimated to be 1 kg/yr in the Second River; 0.59 kg/yr in the Third River; 60 kg/yr in the Saddle River; 16 kg/yr in the Pompton River; and 11 kg/yr in the upper Passaic River. These loads indicate the importance of the sediment-bound contributions of organic compounds and trace elements to the upper Passaic and Saddle Rivers.</p><p>Concentrations of suspended sediment-bound PCBs in the main stem and the West Branch of the Elizabeth River were 806 ng/g and 3,100 ng/g, respectively, representing loads of 40 g/yr and 1,150 g/yr, respectively. These loads were estimated using assumed discharge conditions. Concentrations of suspended sediment-bound PCDD/PCDFs were 7,270 pg/g and 9,980 pg/g in the main stem and West Branch, respectively, representing average annual loads of 0.36 g/yr and 3.7 g/yr, respectively. Total TEQ loads (sum of PCDD/PCDFs and PCBs) were 2.1 mg/yr (as 2,3,7,8-TCDD) in the main stem and 34 mg/yr in the West Branch, respectively. These load estimates, however, were directly related to the assumed annual discharge for the two branches. Long-term measurement of stream discharge and suspended-sediment concentrations would be needed to verify these loads. On the basis of the concentrations measured in this work, it appears that the West Branch is the principal source of PCBs, PCDD/PCDFs, total TEQs, and metals to the main stem of the Elizabeth River. Additional sources of these constituents may exist between the confluence and the head-of-tide.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075136","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Wilson, T.P., and Bonin, J., 2008, Occurrence of organic compounds and trace elements in the upper Passaic and Elizabeth Rivers and their tributaries in New Jersey, July 2003 to February 2004: Phase II of the New Jersey toxics reduction workplan for New York-New Jersey Harbor: U.S. Geological Survey Scientific Investigations Report 2007-5136, vi, 43 p., https://doi.org/10.3133/sir20075136.","productDescription":"vi, 43 p.","onlineOnly":"Y","temporalStart":"2003-07-01","temporalEnd":"2004-02-28","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":195679,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10789,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5136/","linkFileType":{"id":5,"text":"html"}},{"id":463371,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83275.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Jersey, New York","otherGeospatial":"New York-New Jersey Harbor","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.58333333333333,40.25 ], [ -74.58333333333333,41.25 ], [ -73.66666666666667,41.25 ], [ -73.66666666666667,40.25 ], [ -74.58333333333333,40.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af6e4b07f02db692e1f","contributors":{"authors":[{"text":"Wilson, Timothy P. 0000-0003-1914-6344 tpwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1914-6344","contributorId":3752,"corporation":false,"usgs":true,"family":"Wilson","given":"Timothy","email":"tpwilson@usgs.gov","middleInitial":"P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonin, Jennifer L. 0000-0002-7631-9734","orcid":"https://orcid.org/0000-0002-7631-9734","contributorId":59404,"corporation":false,"usgs":true,"family":"Bonin","given":"Jennifer L.","affiliations":[],"preferred":false,"id":293889,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80924,"text":"ds324 - 2008 - Database of the geology and thermal activity of Norris Geyser Basin, Yellowstone National Park","interactions":[],"lastModifiedDate":"2019-03-11T14:32:04","indexId":"ds324","displayToPublicDate":"2008-02-02T00:00:00","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":"324","title":"Database of the geology and thermal activity of Norris Geyser Basin, Yellowstone National Park","docAbstract":"This dataset contains contacts, geologic units and map boundaries from Plate 1 of USGS Professional Paper 1456, 'The Geology and Remarkable Thermal Activity of Norris Geyser Basin, Yellowstone National Park, Wyoming.' The features are contained in the Annotation, basins_poly, contours, geology_arc, geology_poly, point_features, and stream_arc feature classes as well as a table of geologic units and their descriptions.\r\n\r\nThis dataset was constructed to produce a digital geologic map as a basis for studying hydrothermal processes in Norris Geyser Basin.\r\n\r\nThe original map does not contain registration tic marks. To create the geodatabase, the original scanned map was georegistered to USGS aerial photographs of the Norris Junction quadrangle collected in 1994. Manmade objects, i.e. roads, parking lots, and the visitor center, along with stream junctions and other hydrographic features, were used for registration.","language":"English","publisher":"U.S. Geological Survey ","doi":"10.3133/ds324","usgsCitation":"Flynn, K., Graham Wall, B., White, D.E., Hutchinson, R.A., Keith, T.E., Clor, L., and Robinson, J., 2008, Database of the geology and thermal activity of Norris Geyser Basin, Yellowstone National Park (Version 1.0): U.S. Geological Survey Data Series 324, Report: 94 p.; 1 Plate: 36 x 41 inches; Read Me; Metadata; Data Files, https://doi.org/10.3133/ds324.","productDescription":"Report: 94 p.; 1 Plate: 36 x 41 inches; Read Me; Metadata; Data Files","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1969-01-01","temporalEnd":"1982-12-31","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":195408,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10772,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/324/","linkFileType":{"id":5,"text":"html"}}],"scale":"2400","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.71575,44.718665 ], [ -110.71575,44.735501 ], [ -110.69805,44.735501 ], [ -110.69805,44.718665 ], [ -110.71575,44.718665 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672a36","contributors":{"authors":[{"text":"Flynn, Kathryn","contributorId":106995,"corporation":false,"usgs":true,"family":"Flynn","given":"Kathryn","affiliations":[],"preferred":false,"id":293861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham Wall, Brita","contributorId":19651,"corporation":false,"usgs":true,"family":"Graham Wall","given":"Brita","email":"","affiliations":[],"preferred":false,"id":293857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Donald E.","contributorId":76787,"corporation":false,"usgs":true,"family":"White","given":"Donald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":293859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hutchinson, Roderick A.","contributorId":34579,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Roderick","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":293858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keith, Terry E.C.","contributorId":79099,"corporation":false,"usgs":true,"family":"Keith","given":"Terry","email":"","middleInitial":"E.C.","affiliations":[],"preferred":false,"id":293860,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clor, Laura","contributorId":6962,"corporation":false,"usgs":true,"family":"Clor","given":"Laura","affiliations":[],"preferred":false,"id":293856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":293855,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":80921,"text":"pp1752 - 2008 - Geology of the Northern Part of the Harcuvar Complex, West-Central Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:11:49","indexId":"pp1752","displayToPublicDate":"2008-02-02T00:00:00","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":"1752","title":"Geology of the Northern Part of the Harcuvar Complex, West-Central Arizona","docAbstract":"In west-central Arizona near the northeast margin of the Basin and Range Province, the Rawhide detachment fault separates Tertiary and older rocks lacking significant effects of Tertiary metamorphism from Precambrian, Paleozoic, and Mesozoic rocks in the Harcuvar metamorphic core complex below. Much of the northern part of the Harcuvar complex in the Buckskin and eastern Harcuvar Mountains is layered granitic gneiss, biotite gneiss, amphibolite, and minor pelitic schist that was probably deformed and metamorphosed in Early Proterozoic time. In the eastern Buckskin Mountains, Early and Middle Proterozoic plutons having U-Pb zircon ages of 1,683?6.4 mega-annum (Ma) and 1,388?2.3 Ma, respectively, intruded the layered gneiss. Small plutons of alkaline gabbro and diorite intruded in Late Jurassic time. A sample of mylonitized diorite from this unit has a U-Pb zircon age of 149?2.8 Ma. In the Early Cretaceous, amphibolite facies regional metamorphism was accompanied by partial melting and formation of migmatite. Zircon from a granitic layer in migmatitic gneiss in the eastern Harcuvar Mountains has a U-Pb age of 110?3.7 Ma. In the Late Cretaceous, sills and plutons of the granite of Tank Pass were emplaced in both the Buckskin and eastern Harcuvar Mountains. In the Buckskin Mountains those intrusions are locally numerous enough to form an injection migmatite. A pluton of this granite crops out over almost half the area of the eastern Harcuvar Mountains.\r\n\r\nPaleozoic and Mesozoic sedimentary rocks were caught as slices along south-vergent Cretaceous thrusts related to the Maria fold and thrust belt and were metamorphosed beneath a thick sheet of Proterozoic crustal rocks.\r\n\r\nInception of volcanism and basin formation in upper-plate rocks indicates that regional extension started at about 26 Ma, in late Oligocene. The Swansea Plutonic Suite, composed of rocks ranging from gabbro to granite, intruded the lower-plate rocks in the Miocene and Oligocene(?). Granite and a gabbro from the suite have a U-Pb zircon age of 21.86?0.60 Ma. Previously published 40Ar/39Ar ages of hornblende suggest that some of the Swansea Suite is Oligocene. The felsic rocks contain numerous inclusions ranging from porphyritic granite to porphyritic granodiorite. A sample from one inclusion has a U-Pb zircon age of 1,409?6.3 Ma. A discordia line for the U-Pb zircon data from the Swansea Plutonic Suite has an upper intercept at 1,408?3.4 Ma. The Swansea Plutonic Suite probably formed by interaction between mantle material and plutonic rocks at least as old as Middle Proterozoic. An irregular layer in the middle crust, which is thickest under and adjacent to the Buckskin Mountains, may be the level where that interaction took place.\r\n\r\nDuring extensional deformation these rocks and all the older rocks were displaced southwest from beneath the rocks of the Colorado Plateau transition zone below an area extending 50?80 kilometers northeast of the Buckskin Mountains as far as Bagdad, Arizona, or beyond. At that time the rocks were variably mylonitized, and a northeast-trending lineation formed. Much of the evidence for the complex sequence of structural events preserved in these rocks in the western Harcuvar Mountains has been obliterated in the northern Harcuvar complex by Miocene deformation.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/pp1752","isbn":"9781411320413","usgsCitation":"Bryant, B., and Wooden, J.L., 2008, Geology of the Northern Part of the Harcuvar Complex, West-Central Arizona (Version 1.0): U.S. Geological Survey Professional Paper 1752, v, 52 p., https://doi.org/10.3133/pp1752.","productDescription":"v, 52 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195079,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10769,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1752/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117,32 ], [ -117,37 ], [ -111,37 ], [ -111,32 ], [ -117,32 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ade54","contributors":{"authors":[{"text":"Bryant, Bruce bbryant@usgs.gov","contributorId":1355,"corporation":false,"usgs":true,"family":"Bryant","given":"Bruce","email":"bbryant@usgs.gov","affiliations":[],"preferred":false,"id":293848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wooden, J. L.","contributorId":58678,"corporation":false,"usgs":true,"family":"Wooden","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":293849,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80913,"text":"ofr20071402 - 2008 - Abundance Trends and Status of the Little Colorado River Population of Humpback Chub: An Update Considering 1989-2006 Data","interactions":[],"lastModifiedDate":"2012-02-02T00:14:28","indexId":"ofr20071402","displayToPublicDate":"2008-02-01T00:00:00","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":"2007-1402","title":"Abundance Trends and Status of the Little Colorado River Population of Humpback Chub: An Update Considering 1989-2006 Data","docAbstract":"EXECUTIVE SUMMARY\r\n\r\nIn 1967, the humpback chub (Gila cypha) (HBC) was added to the federal list of endangered species and is today protected under the Endangered Species Act of 1973. Only six populations of humpback chub are currently known to exist, five in the Colorado River Basin above Lees Ferry, Arizona, and one in Grand Canyon, Arizona. The majority of Grand Canyon humpback chub are found in the Little Colorado River (LCR)-the largest tributary to the Colorado River in Grand Canyon-and the Colorado River near its confluence with the Little Colorado River. Monitoring and research of the Grand Canyon humpback chub population is overseen by the U.S. Geological Survey's (USGS) Grand Canyon Monitoring and Research Center (GCMRC) under the auspices of the Glen Canyon Dam Adaptive Management Program (GCDAMP), a Federal initiative to protect and improve resources downstream of Glen Canyon Dam.\r\n\r\nThis report provides updated information on the status and trends of the LCR population in light of new information and refined assessment methodology. An earlier assessment of the LCR population (Coggins and others, 2006a) used data collected during 1989?2002; the assessment provided here includes that data and additional data collected through 2006. Catch-rate indices, closed population mark-recapture model abundance estimates, results from the original age-structured mark recapture (ASMR) model (Coggins and others, 2006b), and a newly refined ASMR model are presented. This report also seeks to (1) formally evaluate alternative stock assessment models using Pearson residual analyses and information theoretic procedures, (2) use mark-recapture data to estimate the relationship between HBC age and length, (3) translate uncertainty in the assignment of individual fish age to resulting estimates of recruitment and abundance from the ASMR model, and (4) evaluate past and present stock assessments considering the available data sources and analyses, recognizing the limitations inherent in both.\r\n\r\nA major task of this study was to improve the overall methodology used to conduct HBC stock assessment by addressing concerns identified in an independent review conducted in 2003 (Kitchell and others, 2003). The review report identified that the current technique of assigning age to individual fish based on length was a potential source of bias in ASMR estimates of abundance and recruitment, and called for a more complete examination of this potential error source. Additionally, the review suggested that further work to develop procedures to better arbitrate among alternative assessment models (e.g., ASMR 1?3) would be beneficial.\r\n\r\nTo address the first of the concerns identified by the independent review, this study uses mark-recapture data to develop a temperature-dependent growth model to characterize the relationship between HBC age and length. This model attempts to account for temperature differences resulting from both ontogenetic habitat shifts between the Little Colorado and the mainstem Colorado Rivers as well as seasonal variation in water temperature within the LCR. The resulting growth model is then used to characterize the error in assigning age to individual fish based on length. Results presented in this study suggest that ageing error does not result in large bias in either abundance or recruitment estimates from the ASMR model. However, incorporating ageing error into the assessment does result in less precise estimates, particularly for recruitment.\r\n\r\nTo address the second concern brought forward in the review report related to model selection procedures, this study arbitrated among the competing models by both examining model fit using Pearson residual analyses and considering information theoretic measures. Although adult abundance estimates and trend varied little among all models considered, these procedures identified ASMR 3 as the model whose underlying assumptions were most consistent with the data. Because ASMR 3 is ","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071402","usgsCitation":"Coggins, 2008, Abundance Trends and Status of the Little Colorado River Population of Humpback Chub: An Update Considering 1989-2006 Data (Version 1.0): U.S. Geological Survey Open-File Report 2007-1402, vi, 53 p., https://doi.org/10.3133/ofr20071402.","productDescription":"vi, 53 p.","onlineOnly":"Y","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":195122,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10757,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1402/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b13e4b07f02db6a3956","contributors":{"authors":[{"text":"Coggins, Jr.","contributorId":54306,"corporation":false,"usgs":true,"family":"Coggins","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":293832,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70003662,"text":"70003662 - 2008 - Maximum spectral demands in the near-fault region","interactions":[],"lastModifiedDate":"2023-10-17T00:40:53.1848","indexId":"70003662","displayToPublicDate":"2008-02-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Maximum spectral demands in the near-fault region","docAbstract":"<div id=\"126406594\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>The Next Generation Attenuation (NGA) relationships for shallow crustal earthquakes in the western United States predict a<span>&nbsp;</span><i>rotated geometric mean</i><span>&nbsp;</span>of horizontal spectral demand, termed GMRotI50, and not maximum spectral demand. Differences between strike-normal, strike-parallel, geometric-mean, and maximum spectral demands in the near-fault region are investigated using 147 pairs of records selected from the NGA strong motion database. The selected records are for earthquakes with moment magnitude greater than 6.5 and for closest site-to-fault distance less than 15<span>&nbsp;</span><i>km</i>. Ratios of maximum spectral demand to NGA-predicted GMRotI50 for each pair of ground motions are presented. The ratio shows a clear dependence on period and the Somerville directivity parameters. Maximum demands can substantially exceed NGA-predicted GMRotI50 demands in the near-fault region, which has significant implications for seismic design, seismic performance assessment, and the next-generation seismic design maps. Strike-normal spectral demands are a significantly unconservative surrogate for maximum spectral demands for closest distance greater than 3 to 5<span>&nbsp;</span><i>km</i>. Scale factors that transform NGA-predicted GMRotI50 to a maximum spectral demand in the near-fault region are proposed.</p></div>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/1.2830435","usgsCitation":"Huang, Y., Whittaker, A.S., and Luco, N., 2008, Maximum spectral demands in the near-fault region: Earthquake Spectra, v. 24, no. 1, p. 319-341, https://doi.org/10.1193/1.2830435.","productDescription":"23 p.","startPage":"319","endPage":"341","numberOfPages":"22","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":204115,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-02-01","publicationStatus":"PW","scienceBaseUri":"4f4e4a27e4b07f02db610191","contributors":{"authors":[{"text":"Huang, Yin-Nan","contributorId":32286,"corporation":false,"usgs":true,"family":"Huang","given":"Yin-Nan","email":"","affiliations":[],"preferred":false,"id":348223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whittaker, Andrew S.","contributorId":75635,"corporation":false,"usgs":true,"family":"Whittaker","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":348224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luco, Nicolas 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":1188,"corporation":false,"usgs":true,"family":"Luco","given":"Nicolas","email":"nluco@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":348222,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80919,"text":"ds285 - 2008 - Ground-water quality data in the Southern Sacramento Valley, California, 2005 — Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2022-08-23T20:04:05.45029","indexId":"ds285","displayToPublicDate":"2008-02-01T00:00:00","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":"285","title":"Ground-water quality data in the Southern Sacramento Valley, California, 2005 — Results from the California GAMA Program","docAbstract":"<p class=\"indent\">Ground-water quality in the approximately 2,100 square-mile Southern Sacramento Valley study unit (SSACV) was investigated from March to June 2005 as part of the Statewide Basin Assessment Project of Ground-Water Ambient Monitoring and Assessment (GAMA) Program. This study was designed to provide a spatially unbiased assessment of raw ground-water quality within SSACV, as well as a statistically consistent basis for comparing water quality throughout California. Samples were collected from 83 wells in Placer, Sacramento, Solano, Sutter, and Yolo Counties. Sixty-seven of the wells were selected using a randomized grid-based method to provide statistical representation of the study area. Sixteen of the wells were sampled to evaluate changes in water chemistry along ground-water flow paths. Four additional samples were collected at one of the wells to evaluate water-quality changes with depth.</p><p class=\"indent\">The GAMA Statewide Basin Assessment project was developed in response to the Ground-Water Quality Monitoring Act of 2001 and is being conducted by the California State Water Resources Control Board (SWRCB) in collaboration with the U.S. Geological Survey (USGS) and the Lawrence Livermore National Laboratory (LLNL).</p><p class=\"indent\">The ground-water samples were analyzed for a large number of man-made organic constituents (volatile organic compounds [VOCs], pesticides and pesticide degradates, pharmaceutical compounds, and wastewater-indicator constituents), constituents of special interest (perchlorate, <i>N</i>-nitrosodimethylamine [NDMA], and 1,2,3-trichloropropane [1,2,3-TCP]), naturally occurring inorganic constituents (nutrients, major and minor ions, and trace elements), radioactive constituents, and microbial indicators. Naturally occurring isotopes (tritium, and carbon-14, and stable isotopes of hydrogen, oxygen, and carbon), and dissolved noble gases also were measured to help identify the source and age of the sampled ground water.</p><p class=\"indent\">Quality-control samples (blanks, replicates, matrix spikes) were collected at ten percent of the wells, and the results for these samples were used to evaluate the quality of the data for the ground-water samples. Assessment of the quality-control data resulted in censoring of less than 0.03 percent of the analyses of ground-water samples.</p><p class=\"indent\">This study did not evaluate the quality of water delivered to consumers; after withdrawal from the ground, water typically is treated, disinfected, and (or) blended with other waters to maintain acceptable water quality. Regulatory thresholds apply to treated water that is served to the consumer, not to raw ground water. However, to provide some context for the results, concentrations of constituents measured in the raw ground water were compared with health-based thresholds established by the U.S. Environmental Protection Agency (USEPA) and California Department of Health Services (CADHS) (Maximum Contaminant Levels [MCLs], notification levels [NLs], or lifetime health advisories [HA-Ls]) and thresholds established for aesthetic concerns (Secondary Maximum Contaminant Levels [SMCLs]).</p><p class=\"indent\">All wells were sampled for organic constituents and selected general water quality parameters; subsets of wells were sampled for inorganic constituents, nutrients, and radioactive constituents. Volatile organic compounds were detected in 49 out of 83 wells sampled and pesticides were detected in 34 out of 82 wells; all detections were below health-based thresholds, with the exception of 1 detection of 1,2,3-trichloropropane above a NL. Of the 43 wells sampled for trace elements, 27 had no detections of a trace element above a health-based threshold and 16 had at least one detection above. Of the 18 trace elements with health-based thresholds, 3 (arsenic, barium, and boron) were detected at concentrations higher an MCL. Of the 43 wells sampled for nitrate, only 1 well had a detection above the MCL. Twenty wells were sampled for radioactive constituents; only 1 (radon-222) was measured at activities higher than the proposed MCL. Radon-222 was detected below the threshold in 7 wells and above the  threshold in 13 wells.</p><p class=\"indent\">SMCLs have been established for nine constituents or parameters analyzed in SSACV. Six were measured at levels higher than an SMCL: chloride, iron, manganese, pH, specific conductance, and total dissolved solids. Chloride, iron, manganese, pH, and total dissolved solids were measured in 43 wells: 27 wells had no measurements above a threshold and 16 wells had a measurement above a threshold. Specific conductance was measured in 83 wells. In 68 wells, specific conductance was measured lower than the threshold and in 15 wells it was measured above the threshold.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds285","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Milby Dawson, B.J., Bennett, G.L., and Belitz, K., 2008, Ground-water quality data in the Southern Sacramento Valley, California, 2005 — Results from the California GAMA Program (Version 1.0: February 2008; Version 1.1: August 2018): U.S. Geological Survey Data Series 285, HTML Document, https://doi.org/10.3133/ds285.","productDescription":"HTML Document","temporalStart":"2005-03-01","temporalEnd":"2005-06-30","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":195245,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":405485,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83241.htm","linkFileType":{"id":5,"text":"html"}},{"id":10767,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/285/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"southern Sacramento Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.1667,\n              38\n            ],\n            [\n              -121.0833,\n              38\n            ],\n            [\n              -121.0833,\n              39\n            ],\n            [\n              -122.1667,\n              39\n            ],\n            [\n              -122.1667,\n              38\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: February 2008; Version 1.1: August 2018","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d54a","contributors":{"authors":[{"text":"Milby Dawson, Barbara J.","contributorId":57133,"corporation":false,"usgs":true,"family":"Milby Dawson","given":"Barbara","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":293846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, George L. 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.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":293844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70159120,"text":"70159120 - 2008 - Modeling landscape evapotranspiration by integrating land surface phenology and a water balance algorithm","interactions":[],"lastModifiedDate":"2017-01-18T13:53:45","indexId":"70159120","displayToPublicDate":"2008-02-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5009,"text":"Algorithms","active":true,"publicationSubtype":{"id":10}},"title":"Modeling landscape evapotranspiration by integrating land surface phenology and a water balance algorithm","docAbstract":"<p><span>The main objective of this study is to present an improved modeling technique called Vegetation ET (VegET) that integrates commonly used water balance algorithms with remotely sensed Land Surface Phenology (LSP) parameter to conduct operational vegetation water balance modeling of rainfed systems at the LSP&rsquo;s spatial scale using readily available global data sets. Evaluation of the VegET model was conducted using Flux Tower data and two-year simulation for the conterminous US. The VegET model is capable of estimating actual evapotranspiration (ETa) of rainfed crops and other vegetation types at the spatial resolution of the LSP on a daily basis, replacing the need to estimate crop- and region-specific crop coefficients.</span></p>","language":"English","publisher":"Molecular Diversity Preservation International","publisherLocation":"Basel, Switzerland","doi":"10.3390/a1020052","usgsCitation":"Senay, G.B., 2008, Modeling landscape evapotranspiration by integrating land surface phenology and a water balance algorithm: Algorithms, v. 1, no. 2, p. 52-68, https://doi.org/10.3390/a1020052.","productDescription":"17 p.","startPage":"52","endPage":"68","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476623,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/a1020052","text":"Publisher Index Page"},{"id":323863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"2","noUsgsAuthors":false,"publicationDate":"2008-10-30","publicationStatus":"PW","scienceBaseUri":"57651f37e4b07657d19c78dc","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":577649,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70159449,"text":"70159449 - 2008 - Integrating modelling and remote sensing to identify ecosystem performance anomalies in the boreal forest, Yukon River Basin, Alaska","interactions":[],"lastModifiedDate":"2015-10-30T09:56:55","indexId":"70159449","displayToPublicDate":"2008-02-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2035,"text":"International Journal of Digital Earth","active":true,"publicationSubtype":{"id":10}},"title":"Integrating modelling and remote sensing to identify ecosystem performance anomalies in the boreal forest, Yukon River Basin, Alaska","docAbstract":"<p><span>High-latitude ecosystems are exposed to more pronounced warming effects than other parts of the globe. We develop a technique to monitor ecological changes in a way that distinguishes climate influences from disturbances. In this study, we account for climatic influences on Alaskan boreal forest performance with a data-driven model. We defined ecosystem performance anomalies (EPA) using the residuals of the model and made annual maps of EPA. Most areas (88%) did not have anomalous ecosystem performance for at least 6 of 8 years between 1996 and 2004. Areas with underperforming EPA (10%) often indicate areas associated with recent fires and areas of possible insect infestation or drying soil related to permafrost degradation. Overperforming areas (2%) occurred in older fire recovery areas where increased deciduous vegetation components are expected. The EPA measure was validated with composite burn index data and Landsat vegetation indices near and within burned areas.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/17538940802038366","usgsCitation":"Wylie, B., Zhang, L., Bliss, N.B., Ji, L., Tieszen, L.L., and Jolly, W., 2008, Integrating modelling and remote sensing to identify ecosystem performance anomalies in the boreal forest, Yukon River Basin, Alaska: International Journal of Digital Earth, v. 1, no. 2, p. 196-220, https://doi.org/10.1080/17538940802038366.","productDescription":"25 p.","startPage":"196","endPage":"220","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563495c2e4b048076347fe11","contributors":{"authors":[{"text":"Wylie, B.K. 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":24877,"corporation":false,"usgs":true,"family":"Wylie","given":"B.K.","affiliations":[],"preferred":false,"id":578744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, L.","contributorId":41543,"corporation":false,"usgs":true,"family":"Zhang","given":"L.","email":"","affiliations":[],"preferred":false,"id":578745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bliss, Norman B. 0000-0003-2409-5211 bliss@usgs.gov","orcid":"https://orcid.org/0000-0003-2409-5211","contributorId":1921,"corporation":false,"usgs":true,"family":"Bliss","given":"Norman","email":"bliss@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":578747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":578748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jolly, W. M.","contributorId":149536,"corporation":false,"usgs":false,"family":"Jolly","given":"W. M.","affiliations":[],"preferred":false,"id":578749,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70209551,"text":"70209551 - 2008 - Palaeoclimate","interactions":[],"lastModifiedDate":"2020-04-17T12:37:30.05688","indexId":"70209551","displayToPublicDate":"2008-01-30T13:48:03","publicationYear":"2008","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Palaeoclimate","docAbstract":"<p>This chapter assesses palaeoclimatic data and knowledge of how the climate system changes over interannual to millennial time scales, and how well these variations can be simulated with climate models. Additional palaeoclimatic perspectives are included in other chapters. Palaeoclimate science has made significant advances since the 1970s, when a primary focus was on the origin of the ice ages, the possibility of an imminent future ice age, and the first explorations of the so-called Little Ice Age and Medieval Warm Period. Even in the first IPCC assessment (IPCC, 1990), many climatic variations prior to the instrumental record were not that well known or understood. Fifteen years later, understanding is much improved, more quantitative and better integrated with respect to observations and modelling. After a brief overview of palaeoclimatic methods, including their strengths and weaknesses, this chapter examines the palaeoclimatic record in chronological order, from oldest to youngest. This approach was selected because the climate system varies and changes over all time scales, and it is instructive to understand the contributions that lower-frequency patterns of climate change might make in influencing higher-frequency patterns of variability and change. In addition, an examination of how the climate system has responded to large changes in climate forcing in the past is useful in assessing how the same climate system might respond to the large anticipated forcing changes in the future.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Climate change 2007: The physical science basis","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English ","publisher":"Cambridge University Press","publisherLocation":"Cambridge","usgsCitation":"Jansen, E., Overpeck, J., Briffa, K.R., Duplessy, J., Joos, F., Masson-Delmotte, V., Olago, D., Otto-Bliesner, B., Peltier, W.R., Rahmstorf, S., Ramesh, R., Raynaud, D., Rind, D., Solomina, O., Villalba, R., Zhang, D., Barnola, J., Bauer, E.M., Brady, E., Chandler, M., Cole, J.E., Cook, E.R., Cortijo, E., Dokken, T., Fleitmann, D., Kageyama, M., Khodri, M., Labeyrie, L., Laine, A., Levermann, A., Mosley-Thompson, E., Muhs, D., Muscheler, R., Osborn, T., Paasche, O., Parrenin, F., Plattner, G., Pollack, H., Spahni, R., Stott, L.D., Thompson, L., Waelbroeck, C., Wiles, G., Zachos, J., and Guo, Z., 2008, Palaeoclimate, chap. <i>of</i> Climate change 2007: The physical science basis, p. 433-497 .","productDescription":"55 p.","startPage":"433","endPage":"497 ","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":373955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":373950,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.ipcc.ch/report/ar4/wg1/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Solomon, Susan","contributorId":223989,"corporation":false,"usgs":false,"family":"Solomon","given":"Susan","email":"","affiliations":[],"preferred":false,"id":786775,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Qin, D.","contributorId":224084,"corporation":false,"usgs":false,"family":"Qin","given":"D.","email":"","affiliations":[],"preferred":false,"id":786978,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Manning, M.","contributorId":224093,"corporation":false,"usgs":false,"family":"Manning","given":"M.","email":"","affiliations":[],"preferred":false,"id":786984,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Chen, Z.","contributorId":224091,"corporation":false,"usgs":false,"family":"Chen","given":"Z.","affiliations":[],"preferred":false,"id":786982,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Marquis, M.","contributorId":224086,"corporation":false,"usgs":false,"family":"Marquis","given":"M.","email":"","affiliations":[],"preferred":false,"id":786981,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Averyt, K.B.","contributorId":224087,"corporation":false,"usgs":false,"family":"Averyt","given":"K.B.","affiliations":[],"preferred":false,"id":786979,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Tignor, M.","contributorId":224088,"corporation":false,"usgs":false,"family":"Tignor","given":"M.","email":"","affiliations":[],"preferred":false,"id":786980,"contributorType":{"id":2,"text":"Editors"},"rank":7},{"text":"Miller, H. 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,{"id":80908,"text":"ofr20071426 - 2008 - Qualitative Comparison of Streamflow Information Programs of the U.S. Geological Survey and Three Non-Federal Agencies","interactions":[],"lastModifiedDate":"2012-02-02T00:14:16","indexId":"ofr20071426","displayToPublicDate":"2008-01-29T00:00:00","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":"2007-1426","title":"Qualitative Comparison of Streamflow Information Programs of the U.S. Geological Survey and Three Non-Federal Agencies","docAbstract":"A qualitative comparison was made of the streamgaging programs of the U.S. Geological Survey (USGS) and three non-Federal agencies in terms of approximate costs and streamflow-information products produced. The three non-Federal agencies provided the USGS with detailed information on their streamgaging program and related costs, and the USGS explored, through publicly available Web sites and one-on-one discussions, the comparability of the streamflow information produced.\r\n\r\nThe type and purpose of streamgages operated, the quality of streamflow record produced, and cost-accounting methods have a great effect on streamgaging costs. There are many uses of streamflow information, and the information requirements for streamgaging programs differ greatly across this range of purposes. A premise of the USGS streamgaging program is that the network must produce consistent data of sufficient quality to support the broadest range of possible uses. Other networks may have a narrower range of purposes; as a consequence, the method of operation, data-quality objectives, and information delivery may be different from those for a multipurpose network. As a result, direct comparison of the overall cost (or of the cost per streamgage) among these programs is not possible. The analysis is, nonetheless, very instructive and provides USGS program managers, agency leadership, and other agency streamgaging program managers useful insight to influence future decisions. Even though the comparison of streamgaging costs and streamflow information products was qualitative, this analysis does offer useful insights on longstanding questions of USGS streamgaging costs.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071426","usgsCitation":"Norris, J.M., Lewis, M., Dorsey, M., Kimbrough, R., Holmes, R.R., and Staubitz, W., 2008, Qualitative Comparison of Streamflow Information Programs of the U.S. Geological Survey and Three Non-Federal Agencies: U.S. Geological Survey Open-File Report 2007-1426, vi, 12 p., https://doi.org/10.3133/ofr20071426.","productDescription":"vi, 12 p.","onlineOnly":"Y","costCenters":[{"id":444,"text":"National Streamflow Information Program","active":false,"usgs":true}],"links":[{"id":190571,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10751,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1426/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699e14","contributors":{"authors":[{"text":"Norris, J. Michael 0000-0002-7480-0161 mnorris@usgs.gov","orcid":"https://orcid.org/0000-0002-7480-0161","contributorId":1625,"corporation":false,"usgs":true,"family":"Norris","given":"J.","email":"mnorris@usgs.gov","middleInitial":"Michael","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Michael","contributorId":10105,"corporation":false,"usgs":true,"family":"Lewis","given":"Michael","affiliations":[],"preferred":false,"id":293817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorsey, Michael","contributorId":59124,"corporation":false,"usgs":true,"family":"Dorsey","given":"Michael","affiliations":[],"preferred":false,"id":293819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kimbrough, Robert","contributorId":101704,"corporation":false,"usgs":true,"family":"Kimbrough","given":"Robert","affiliations":[],"preferred":false,"id":293820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":293815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Staubitz, Ward","contributorId":18063,"corporation":false,"usgs":true,"family":"Staubitz","given":"Ward","email":"","affiliations":[],"preferred":false,"id":293818,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":80903,"text":"ofr20081012 - 2008 - Presentation Showing Results of a Hydrogeochemical Investigation of the Standard Mine Vicinity, Upper Elk Creek Basin, Colorado","interactions":[],"lastModifiedDate":"2012-02-02T00:14:13","indexId":"ofr20081012","displayToPublicDate":"2008-01-26T00:00:00","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":"2008-1012","title":"Presentation Showing Results of a Hydrogeochemical Investigation of the Standard Mine Vicinity, Upper Elk Creek Basin, Colorado","docAbstract":"PREFACE\r\n\r\nThis Open-File Report consists of a presentation given in Crested Butte, Colorado on December 13, 2007 to the Standard Mine Advisory Group. The presentation was paired with another presentation given by the Colorado Division of Reclamation, Mining, and Safety on the physical features and geology of the Standard Mine. The presentation in this Open-File Report summarizes the results and conclusions of a hydrogeochemical investigation of the Standard Mine performed by the U.S. Geological Survey (Manning and others, in press). The purpose of the investigation was to aid the U.S. Environmental Protection Agency in evaluating remediation options for the Standard Mine site. Additional details and supporting data related to the information in this presentation can be found in Manning and others (in press).","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081012","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Manning, A.H., Verplanck, P.L., Mast, M.A., and Wanty, R.B., 2008, Presentation Showing Results of a Hydrogeochemical Investigation of the Standard Mine Vicinity, Upper Elk Creek Basin, Colorado (Version 1.0): U.S. Geological Survey Open-File Report 2008-1012, iii, 19 p., https://doi.org/10.3133/ofr20081012.","productDescription":"iii, 19 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190861,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10746,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1012/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aaae4b07f02db669056","contributors":{"authors":[{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":293800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":293798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":293797,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80901,"text":"ofr20071442 - 2008 - Analysis of a spatial point pattern: Examining the damage to pavement and pipes in Santa Clara Valley resulting from the Loma Prieta earthquake","interactions":[],"lastModifiedDate":"2022-06-28T18:22:20.732262","indexId":"ofr20071442","displayToPublicDate":"2008-01-26T00:00:00","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":"2007-1442","title":"Analysis of a spatial point pattern: Examining the damage to pavement and pipes in Santa Clara Valley resulting from the Loma Prieta earthquake","docAbstract":"<p>This report describes some simple spatial statistical methods to explore the relationships of scattered points to geologic or other features, represented by points, lines, or areas. It also describes statistical methods to search for linear trends and clustered patterns within the scattered point data. Scattered points are often contained within irregularly shaped study areas, necessitating the use of methods largely unexplored in the point pattern literature. The methods take advantage of the power of modern GIS toolkits to numerically approximate the null hypothesis of randomly located data within an irregular study area. Observed distributions can then be compared with the null distribution of a set of randomly located points. The methods are non-parametric and are applicable to irregularly shaped study areas. Patterns within the point data are examined by comparing the distribution of the orientation of the set of vectors defined by each pair of points within the data with the equivalent distribution for a random set of points within the study area. A simple model is proposed to describe linear or clustered structure within scattered data. A scattered data set of damage to pavement and pipes, recorded after the 1989 Loma Prieta earthquake, is used as an example to demonstrate the analytical techniques. The damage is found to be preferentially located nearer a set of mapped lineaments than randomly scattered damage, suggesting range-front faulting along the base of the Santa Cruz Mountains is related to both the earthquake damage and the mapped lineaments. The damage also exhibit two non-random patterns: a single cluster of damage centered in the town of Los Gatos, California, and a linear alignment of damage along the range front of the Santa Cruz Mountains, California. The linear alignment of damage is strongest between 45° and 50° northwest. This agrees well with the mean trend of the mapped lineaments, measured as 49? northwest.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071442","usgsCitation":"Phelps, G.A., 2008, Analysis of a spatial point pattern: Examining the damage to pavement and pipes in Santa Clara Valley resulting from the Loma Prieta earthquake (Version 1.0): U.S. Geological Survey Open-File Report 2007-1442, 51 p., https://doi.org/10.3133/ofr20071442.","productDescription":"51 p.","onlineOnly":"Y","costCenters":[{"id":314,"text":"Geophysics Unit of Menlo Park, CA (GUMP)","active":false,"usgs":true}],"links":[{"id":190803,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402615,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83237.htm","linkFileType":{"id":5,"text":"html"}},{"id":10744,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1442/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Santa Clara Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.17620849609374,\n              37.19533058280065\n            ],\n            [\n              -121.74087524414064,\n              37.19533058280065\n            ],\n            [\n              -121.74087524414064,\n              37.42906945530332\n            ],\n            [\n              -122.17620849609374,\n              37.42906945530332\n            ],\n            [\n              -122.17620849609374,\n              37.19533058280065\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db680ce6","contributors":{"authors":[{"text":"Phelps, G. A.","contributorId":67107,"corporation":false,"usgs":true,"family":"Phelps","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":293791,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80887,"text":"ofr20071401 - 2008 - Volcan Baru: Eruptive History and Volcano-Hazards Assessment","interactions":[],"lastModifiedDate":"2012-02-10T00:11:44","indexId":"ofr20071401","displayToPublicDate":"2008-01-24T00:00:00","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":"2007-1401","title":"Volcan Baru: Eruptive History and Volcano-Hazards Assessment","docAbstract":"Volcan Baru is a potentially active volcano in western Panama, about 35 km east of the Costa Rican border. The volcano has had four eruptive episodes during the past 1,600 years, including its most recent eruption about 400?500 years ago. Several other eruptions occurred in the prior 10,000 years. Several seismic swarms in the 20th century and a recent swarm in 2006 serve as reminders of a restless tectonic terrane.\r\n\r\nGiven this history, Volcan Baru likely will erupt again in the near or distant future, following some premonitory period of seismic activity and subtle ground deformation that may last for days or months. Future eruptions will likely be similar to past eruptions?explosive and dangerous to those living on the volcano?s flanks. Outlying towns and cities could endure several years of disruption in the wake of renewed volcanic activity.\r\n\r\nDescribed in this open-file report are reconnaissance mapping and stratigraphic studies, radiocarbon dating, lahar-inundation modeling, and hazard-analysis maps. Existing data have been compiled and included to make this report as comprehensive as possible. The report is prepared in coooperation with National Secretariat for Science, Technology and Innovation (SENACYT) of the Republic of Panama and the U.S. Agency for International Development (USAID).","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071401","collaboration":"Prepared in coooperation with National Secretariat for Science, Technology and Innovation (SENACYT) of the Republic of Panama and the U.S. Agency for International Development (USAID)","usgsCitation":"Sherrod, D.R., Vallance, J.W., Tapia Espinosa, A., and McGeehin, J., 2008, Volcan Baru: Eruptive History and Volcano-Hazards Assessment (Version 1.0): U.S. Geological Survey Open-File Report 2007-1401, Report: 33 p.; 1 Plate: 32 x 21 inches; Data; Report and plate also available in Spanish, https://doi.org/10.3133/ofr20071401.","productDescription":"Report: 33 p.; 1 Plate: 32 x 21 inches; Data; Report and plate also available in Spanish","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":194779,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10725,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1401/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83,8.25 ], [ -83,8.75 ], [ -82.25,8.75 ], [ -82.25,8.25 ], [ -83,8.25 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd930","contributors":{"authors":[{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":293752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":293753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tapia Espinosa, Arkin","contributorId":7384,"corporation":false,"usgs":true,"family":"Tapia Espinosa","given":"Arkin","email":"","affiliations":[],"preferred":false,"id":293755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGeehin, John P. 0000-0002-5320-6091 mcgeehin@usgs.gov","orcid":"https://orcid.org/0000-0002-5320-6091","contributorId":3444,"corporation":false,"usgs":true,"family":"McGeehin","given":"John P.","email":"mcgeehin@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":293754,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80888,"text":"ds321 - 2008 - Illinois, Indiana, and Ohio Magnetic and Gravity Maps and Data: A Website for Distribution of Data","interactions":[],"lastModifiedDate":"2012-02-10T00:11:43","indexId":"ds321","displayToPublicDate":"2008-01-24T00:00:00","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":"321","title":"Illinois, Indiana, and Ohio Magnetic and Gravity Maps and Data: A Website for Distribution of Data","docAbstract":"This web site gives the results of a USGS project to acquire the best available, public-domain, aeromagnetic and gravity data in the United States and merge these data into uniform, composite grids for each state. The results for the three states, Illinois, Indiana, and Ohio are presented here in one site. Files of aeromagnetic and gravity grids and images are available for these states for downloading. In Illinois, Indiana, and Ohio, 19 magnetic surveys have been knit together to form a single digital grid and map. And, a complete Bouguer gravity anomaly grid and map was generated from 128,227 gravity station measurements in and adjacent to Illinois, Indiana, and Ohio. In addition, a map shows the location of the aeromagnetic surveys, color-coded to the survey flight-line spacing. This project was supported by the Mineral Resource Program of the USGS.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds321","usgsCitation":"Daniels, D.L., Kucks, R.P., and Hill, P.L., 2008, Illinois, Indiana, and Ohio Magnetic and Gravity Maps and Data: A Website for Distribution of Data (Version 1.0): U.S. Geological Survey Data Series 321, Maps; Data Directory, https://doi.org/10.3133/ds321.","productDescription":"Maps; Data Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194878,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10726,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/321/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92,36 ], [ -92,43 ], [ -80,43 ], [ -80,36 ], [ -92,36 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c6e0","contributors":{"authors":[{"text":"Daniels, David L. 0000-0003-0599-8036 dave@usgs.gov","orcid":"https://orcid.org/0000-0003-0599-8036","contributorId":1792,"corporation":false,"usgs":true,"family":"Daniels","given":"David","email":"dave@usgs.gov","middleInitial":"L.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":293757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kucks, Robert P.","contributorId":11648,"corporation":false,"usgs":true,"family":"Kucks","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":293758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, Patricia L. pathill@usgs.gov","contributorId":1327,"corporation":false,"usgs":true,"family":"Hill","given":"Patricia","email":"pathill@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":293756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047865,"text":"70047865 - 2008 - National Land Cover Database 2001 (NLCD01) Tile 2, Northeast United States: NLCD01_2","interactions":[],"lastModifiedDate":"2013-09-03T09:21:00","indexId":"70047865","displayToPublicDate":"2008-01-23T11:30:00","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":"383-B","title":"National Land Cover Database 2001 (NLCD01) Tile 2, Northeast United States: NLCD01_2","docAbstract":"This 30-meter data set represents land use and land cover for the conterminous United States for the 2001 time period. The data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information System (see http://water.usgs.gov/GIS/browse/nlcd01-partition.jpg). The National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of Federal agencies (http://www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, consistent, seamless, and accurate National Land Cover Database (NLCD) circa 2001 for the United States at medium spatial resolution. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer and others (2004), (see: http://www.mrlc.gov/mrlc2k.asp). The NLCD 2001 was created by partitioning the United States into mapping zones. A total of 68 mapping zones (see http://water.usgs.gov/GIS/browse/nlcd01-mappingzones.jpg), were delineated within the conterminous United States based on ecoregion and geographical characteristics, edge-matching features, and the size requirement of Landsat mosaics. Mapping zones encompass the whole or parts of several states. Questions about the NLCD mapping zones can be directed to the NLCD 2001 Land Cover Mapping Team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70047865","usgsCitation":"LaMotte, A., 2008, National Land Cover Database 2001 (NLCD01) Tile 2, Northeast United States: NLCD01_2: U.S. Geological Survey Data Series 383-B, Dataset, https://doi.org/10.3133/70047865.","productDescription":"Dataset","costCenters":[],"links":[{"id":277099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":277098,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nlcd01_2.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.612036,37.105324 ], [ -98.612036,51.857936 ], [ -65.143599,51.857936 ], [ -65.143599,37.105324 ], [ -98.612036,37.105324 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521f1beae4b0f8bf2b076148","contributors":{"authors":[{"text":"LaMotte, Andrew","contributorId":70006,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","affiliations":[],"preferred":false,"id":483177,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047864,"text":"ds383A - 2008 - National Land Cover Database 2001 (NLCD01) Tile 1, Northwest United States: NLCD01_1","interactions":[],"lastModifiedDate":"2013-08-28T11:14:01","indexId":"ds383A","displayToPublicDate":"2008-01-22T10:59:00","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":"383","chapter":"A","title":"National Land Cover Database 2001 (NLCD01) Tile 1, Northwest United States: NLCD01_1","docAbstract":"This 30-meter data set represents land use and land cover for the conterminous United States for the 2001 time period. The data have been arranged into four tiles to facilitate timely display and manipulation within a Geographic Information System (see http://water.usgs.gov/GIS/browse/nlcd01-partition.jpg). The National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of Federal agencies (http://www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, consistent, seamless, and accurate National Land Cover Database (NLCD) circa 2001 for the United States at medium spatial resolution. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer and others (2004), (see: http://www.mrlc.gov/mrlc2k.asp). The NLCD 2001 was created by partitioning the United States into mapping zones. A total of 68 mapping zones (see http://water.usgs.gov/GIS/browse/nlcd01-mappingzones.jpg), were delineated within the conterminous United States based on ecoregion and geographical characteristics, edge-matching features, and the size requirement of Landsat mosaics. Mapping zones encompass the whole or parts of several states. Questions about the NLCD mapping zones can be directed to the NLCD 2001 Land Cover Mapping Team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds383A","usgsCitation":"LaMotte, A., 2008, National Land Cover Database 2001 (NLCD01) Tile 1, Northwest United States: NLCD01_1: U.S. Geological Survey Data Series 383, Dataset, https://doi.org/10.3133/ds383A.","productDescription":"Dataset","costCenters":[],"links":[{"id":277096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":277095,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nlcd01_1.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -128.307900,36.820901 ], [ -128.307900,51.834455 ], [ -98.182478,51.834455 ], [ -98.182478,36.820901 ], [ -128.307900,36.820901 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521f1beae4b0f8bf2b076144","contributors":{"authors":[{"text":"LaMotte, Andrew","contributorId":70006,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","affiliations":[],"preferred":false,"id":483176,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80883,"text":"ds305 - 2008 - Water-Quality Data Collected from Vallecito Reservoir, Its Inflows and Outflow, Southwestern Colorado, 1999-2002","interactions":[],"lastModifiedDate":"2012-02-10T00:11:45","indexId":"ds305","displayToPublicDate":"2008-01-18T00:00:00","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":"305","title":"Water-Quality Data Collected from Vallecito Reservoir, Its Inflows and Outflow, Southwestern Colorado, 1999-2002","docAbstract":"The Pine River Watershed Stakeholders Group was created in December 1997 to allow local participation in addressing water-quality issues in Los Pi?os River watershed, including Vallecito Reservoir in southwestern Colorado. One water-quality issue identified by the stakeholder group is to increase the understanding of the current water quality of Vallecito Reservoir, its two major inflows, and its outflow. The U.S. Geological Survey (USGS), in cooperation with volunteers from the Pine River Watershed Stakeholders Group and the U.S. Environmental Protection Agency (USEPA), U.S. Bureau of Reclamation (BOR), Colorado Department of Public Health and Environment (CDPHE), Pine River Irrigation District, Southern Ute Tribe, San Juan Basin Health Department, and San Juan Resource Conservation and Development, collected water-quality samples from Vallecito Reservoir, its two major inflows, and its outflow between August 1999 and November 2002 at about monthly intervals from April through November. The water-quality samples were analyzed for total and dissolved metals (aluminum, arsenic, cadmium, copper, chromium, iron, lead, manganese, mercury, nickel, silver, and zinc), dissolved major ions (calcium, magnesium, sodium, potassium, chloride, bicarbonate, and sulfate), dissolved silica, dissolved organic carbon (DOC), ultraviolet (UV) absorbance at 254 and 280 nanometers, nutrients (total organic nitrogen, dissolved organic nitrogen, dissolved ammonia, dissolved nitrate, total phosphorus, dissolved phosphorus, and orthophosphate), chlorophyll-a (reservoir only), and suspended sediment (inlets to the reservoir only). Measurements of field properties (pH, specific conductance, water temperature, and dissolved oxygen) were also made at each sampling site each time a water-quality sample was collected.\r\n\r\nThis report documents (1) sampling sites and times of sample collection, (2) sample-collection methods, (3) laboratory analytical methods, and (4) responsibilities of each agency/group involved in the project. The report also provides the environmental and quality-control data collected during the project and provides an interpretation of the quality-control data (field blanks and field duplicates) to assess the quality of the environmental data. This report provides a baseline data set against which future changes in water quality can be assessed.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds305","collaboration":"Prepared in cooperation with the Southern Ute Tribe and the Bureau of Reclamation","usgsCitation":"Ranalli, A.J., 2008, Water-Quality Data Collected from Vallecito Reservoir, Its Inflows and Outflow, Southwestern Colorado, 1999-2002 (Version 1.0): U.S. Geological Survey Data Series 305, iv, 76 p., https://doi.org/10.3133/ds305.","productDescription":"iv, 76 p.","onlineOnly":"Y","temporalStart":"1999-01-01","temporalEnd":"2002-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195775,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10719,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/305/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.61749999999999,36.333333333333336 ], [ -107.61749999999999,36.5 ], [ -107.5,36.5 ], [ -107.5,36.333333333333336 ], [ -107.61749999999999,36.333333333333336 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adae4b07f02db68581c","contributors":{"authors":[{"text":"Ranalli, Anthony J. tranalli@usgs.gov","contributorId":1195,"corporation":false,"usgs":true,"family":"Ranalli","given":"Anthony","email":"tranalli@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":293741,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80885,"text":"ofr20071404 - 2008 - Database for Assessment Unit-Scale Analogs (Exclusive of the United States)","interactions":[],"lastModifiedDate":"2012-02-02T00:14:22","indexId":"ofr20071404","displayToPublicDate":"2008-01-18T00:00:00","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":"2007-1404","title":"Database for Assessment Unit-Scale Analogs (Exclusive of the United States)","docAbstract":"This publication presents a database of geologic analogs useful for the assessment of undiscovered oil and gas resources. Particularly in frontier areas, where few oil and gas fields have been discovered, assessment methods such as discovery process models may not be usable. In such cases, comparison of the assessment area to geologically similar but more maturely explored areas may be more appropriate. This analog database consists of 246 assessment units, based on the U.S. Geological Survey 2000 World Petroleum Assessment. Besides geologic data to facilitate comparisons, the database includes data pertaining to numbers and sizes of oil and gas fields and the properties of their produced fluids.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071404","usgsCitation":"Charpentier, R., Klett, T., and Attanasi, E., 2008, Database for Assessment Unit-Scale Analogs (Exclusive of the United States) (Version 1.0): U.S. Geological Survey Open-File Report 2007-1404, Report: iii, 61 p.; Downloads Directory, https://doi.org/10.3133/ofr20071404.","productDescription":"Report: iii, 61 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194831,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10721,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1404/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db6742f8","contributors":{"authors":[{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":293743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klett, T. R. 0000-0001-9779-1168","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":83067,"corporation":false,"usgs":true,"family":"Klett","given":"T. R.","affiliations":[],"preferred":false,"id":293745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Attanasi, Emil 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":1809,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":293744,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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