{"pageNumber":"856","pageRowStart":"21375","pageSize":"25","recordCount":46883,"records":[{"id":80682,"text":"pp1744 - 2007 - Quaternarymagmatism in the Cascades - Geologic perspectives","interactions":[],"lastModifiedDate":"2022-12-22T19:24:55.999881","indexId":"pp1744","displayToPublicDate":"2007-12-05T00:00:00","publicationYear":"2007","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":"1744","title":"Quaternarymagmatism in the Cascades - Geologic perspectives","docAbstract":"Foreward\r\n\r\nThe Cascade magmatic arc is a belt of Quaternary volcanoes that extends 1,250 km from Lassen Peak in northern California to Meager Mountain in Canada, above the subduction zone where the Juan de Fuca Plate plunges beneath the North American Plate. This Professional Paper presents a synthesis of the entire volcanic arc, addressing all 2,300 known Quaternary volcanoes, not just the 30 or so visually prominent peaks that comprise the volcanic skyline.\r\n\r\nStudy of Cascade volcanoes goes back to the geological explorers of the late 19th century and the seminal investigations of Howel Williams in the 1920s and 1930s. However, major progress and application of modern scientific methods and instrumentation began only in the 1970s with the advent of systematic geological, geophysical, and geochemical studies of the entire arc. Initial stimulus from the USGS Geothermal Research Program was enhanced by the USGS Volcano Hazards Program following the 1980 eruption of Mount St. Helens. Together, these two USGS Programs have provided more than three decades of stable funding, staffing, and analytical support. This Professional Paper summarizes the resultant USGS data sets and integrates them with the parallel contributions of other investigators. The product is based upon an all-encompassing and definitive geological database, including chemical and isotopic analyses to characterize the rocks and geochronology to provide the critical time constraints.\r\n\r\nUntil now, this massive amount of data has not been summarized, and a systematic and uniform interpretation firmly grounded in geological fact has been lacking. Herein lies the primary utility of this Cascade volume. It not only will be the mandatory starting point for new workers, but also will provide essential geological context to broaden the perspectives of current investigators of specific Cascade volcanoes.\r\n\r\nWes Hildreth's insightful understanding of volcanic processes and his uncompromising scientific integrity make him uniquely qualified to present this synthesis. During more than three decades of volcanological studies, he has carried out comprehensive investigations of Mount Adams, Mount Baker, the Three Sisters, and the Simcoe Mountains Volcanic Field. He also brings a broad experience in other volcanic arcs, having conducted integrated field and laboratory investigations at several major volcanic centers in the Andes and the Aleutian arcs. His expertise and perspective have been further enhanced by in-depth petrologic studies of caldera environments, primarily in Long Valley, California, and Yellowstone. On the basis of all these field and laboratory investigations and exhaustive literature searches, he has published three definitive petrologic syntheses addressing the passage and transformation of basaltic magmas from their mantle sources through the crust to form the many types of volcanic manifestations at the Earth's surface.\r\n\r\nA major strength of this Professional Paper is that it adheres to data first and foremost, and only then correlates these data with relevant theories. Petrological and geophysical interpretation is left to the later sections of the volume, and even there is never allowed to stray from the pertinent databases. Hildreth's interpretations are not just idle speculations, but are carefully reasoned inferences firmly based on his thorough evaluation of the observational geological data.\r\n\r\nProfessional Paper 1744 should not be skimmed lightly, in the hope that the salient points will quickly rub off. Instead, every section, indeed every paragraph, presents scholarly observations and insightful interpretations that demand careful and thoughtful study. This volume will influence and guide the course of Cascade investigations for decades to come.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1744","usgsCitation":"Hildreth, W., 2007, Quaternarymagmatism in the Cascades - Geologic perspectives (Version 1.0): U.S. Geological Survey Professional Paper 1744, vii, 125 p., https://doi.org/10.3133/pp1744.","productDescription":"vii, 125 p.","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":192159,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10539,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/pp1744/","linkFileType":{"id":5,"text":"html"}},{"id":410958,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_82896.htm","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","otherGeospatial":"Cascades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124,\n              40.05\n            ],\n            [\n              -124,\n              51\n            ],\n            [\n              -120.6333,\n              51\n            ],\n            [\n              -120.6333,\n              40.05\n            ],\n            [\n              -124,\n              40.05\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db660574","contributors":{"authors":[{"text":"Hildreth, Wes","contributorId":15996,"corporation":false,"usgs":true,"family":"Hildreth","given":"Wes","email":"","affiliations":[],"preferred":false,"id":293280,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80681,"text":"ds293 - 2007 - Database for the Geologic Map of the Summit Region of Kilauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2016-08-09T12:55:22","indexId":"ds293","displayToPublicDate":"2007-12-05T00:00:00","publicationYear":"2007","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":"293","title":"Database for the Geologic Map of the Summit Region of Kilauea Volcano, Hawaii","docAbstract":"<p>INTRODUCTION The area covered by this map includes parts of four U.S. Geological Survey (USGS) 7.5' topographic quadrangles (Kilauea Crater, Volcano, Ka`u Desert, and Makaopuhi). It encompasses the summit, upper rift zones, and Koa`e Fault System of Kilauea Volcano and a part of the adjacent, southeast flank of Mauna Loa Volcano. The map is dominated by products of eruptions from Kilauea Volcano, the southernmost of the five volcanoes on the Island of Hawai`i and one of the world's most active volcanoes. At its summit (1,243 m) is Kilauea Crater, a 3 km-by-5 km collapse caldera that formed, possibly over several centuries, between about 200 and 500 years ago. Radiating away from the summit caldera are two linear zones of intrusion and eruption, the east and the southwest rift zones. Repeated subaerial eruptions from the summit and rift zones have built a gently sloping, elongate shield volcano covering approximately 1,500 km2. Much of the volcano lies under water: the east rift zone extends 110 km from the summit to a depth of more than 5,000 m below sea level; whereas, the southwest rift zone has a more limited submarine continuation. South of the summit caldera, mostly north-facing normal faults and open fractures of the Koa`e Fault System extend between the two rift zones. The Koa`e Fault System is interpreted as a tear-away structure that accommodates southward movement of Kilauea's flank in response to distension of the volcano perpendicular to the rift zones. This digital release contains all the information used to produce the geologic map published as USGS Geologic Investigations Series I-2759 (Neal and Lockwood, 2003). The main component of this digital release is a geologic map database prepared using ArcInfo GIS. This release also contains printable files for the geologic map and accompanying descriptive pamphlet from I-2759.</p>","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds293","usgsCitation":"Dutton, D.R., Ramsey, D.W., Bruggman, P.E., Felger, T.J., Lougee, E., Margriter, S., Showalter, P., Neal, C., and Lockwood, J.P., 2007, Database for the Geologic Map of the Summit Region of Kilauea Volcano, Hawaii (Version 1.0): U.S. Geological Survey Data Series 293, Available online and soon on CD-ROM, https://doi.org/10.3133/ds293.","productDescription":"Available online and soon on CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":192395,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10538,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2007/293/","linkFileType":{"id":5,"text":"html"}},{"id":110758,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_82895.htm","linkFileType":{"id":5,"text":"html"},"description":"82895"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.4,16.3 ], [ -155.4,19.5 ], [ -155,19.5 ], [ -155,16.3 ], [ -155.4,16.3 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db674054","contributors":{"authors":[{"text":"Dutton, Dillon R.","contributorId":75817,"corporation":false,"usgs":true,"family":"Dutton","given":"Dillon","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":293277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramsey, David W. 0000-0003-1698-2523 dramsey@usgs.gov","orcid":"https://orcid.org/0000-0003-1698-2523","contributorId":3819,"corporation":false,"usgs":true,"family":"Ramsey","given":"David","email":"dramsey@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":293272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruggman, Peggy E.","contributorId":64107,"corporation":false,"usgs":true,"family":"Bruggman","given":"Peggy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":293276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Felger, Tracey J. 0000-0003-0841-4235 tfelger@usgs.gov","orcid":"https://orcid.org/0000-0003-0841-4235","contributorId":1117,"corporation":false,"usgs":true,"family":"Felger","given":"Tracey","email":"tfelger@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":293271,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lougee, Ellen","contributorId":96159,"corporation":false,"usgs":true,"family":"Lougee","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":293279,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Margriter, Sandy","contributorId":19438,"corporation":false,"usgs":true,"family":"Margriter","given":"Sandy","affiliations":[],"preferred":false,"id":293274,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Showalter, Patrick","contributorId":11891,"corporation":false,"usgs":true,"family":"Showalter","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":293273,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Neal, Christina A. 0000-0002-7697-7825","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":82660,"corporation":false,"usgs":true,"family":"Neal","given":"Christina A.","affiliations":[],"preferred":false,"id":293278,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lockwood, John P. 0000-0002-6562-0222","orcid":"https://orcid.org/0000-0002-6562-0222","contributorId":30976,"corporation":false,"usgs":true,"family":"Lockwood","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":293275,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":80690,"text":"ds306 - 2007 - Riparian Land Use/Land Cover Data for Five Study Units in the Nutrient Enrichment Effects Topical Study of the National Water-Quality Assessment Program","interactions":[],"lastModifiedDate":"2012-03-08T17:16:24","indexId":"ds306","displayToPublicDate":"2007-12-05T00:00:00","publicationYear":"2007","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":"306","title":"Riparian Land Use/Land Cover Data for Five Study Units in the Nutrient Enrichment Effects Topical Study of the National Water-Quality Assessment Program","docAbstract":"This dataset was developed as part of the National Water-Quality Assessment (NAWQA) Program, Nutrient Enrichment Effects Topical (NEET) study for five study units distributed across the United States: Apalachicola-Chattahoochee-Flint River Basin, Central Columbia Plateau-Yakima River Basin, Central Nebraska Basins, Potomac River Basin and Delmarva Peninsula, and White, Great and Little Miami River Basins. One hundred forty-three stream reaches were examined as part of the NEET study conducted 2003-04. Stream segments, with lengths equal to the logarithm of the basin area, were delineated upstream from the downstream ends of the stream reaches with the use of digital orthophoto quarter quadrangles (DOQQ) or selected from the high-resolution National Hydrography Dataset (NHD). Use of the NHD was necessary when the stream was not distinguishable in the DOQQ because of dense tree canopy. The analysis area for each stream segment was defined by a buffer beginning at the segment extending to 250 meters lateral to the stream segment. Delineation of land use/land cover (LULC) map units within stream segment buffers was conducted using on-screen digitizing of riparian LULC classes interpreted from the DOQQ. LULC units were mapped using a classification strategy consisting of nine classes. National Wetlands Inventory (NWI) data were used to aid in wetland classification. Longitudinal transect sampling lines offset from the stream segments were generated and partitioned into the underlying LULC types. These longitudinal samples yielded the relative linear extent and sequence of each LULC type within the riparian zone at the segment scale. The resulting areal and linear LULC data filled in the spatial-scale gap between the 30-meter resolution of the National Land Cover Dataset and the reach-level habitat assessment data collected onsite routinely for NAWQA ecological sampling. The final data consisted of 12 geospatial datasets: LULC within 25 meters of the stream reach (polygon); LULC within 50 meters of the stream reach (polygon); LULC within 50 meters of the stream segment (polygon); LULC within 100 meters of the stream segment (polygon); LULC within 150 meters of the stream segment (polygon); LULC within 250 meters of the stream segment (polygon); frequency of gaps in woody vegetation LULC at the reach scale (arc); stream reaches (arc); longitudinal LULC at the reach scale (arc); frequency of gaps in woody vegetation LULC at the segment scale (arc); stream segments (arc); and longitudinal LULC at the segment scale (arc).","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds306","usgsCitation":"Johnson, M., Buell, G.R., Kim, M.H., and Nardi, M.R., 2007, Riparian Land Use/Land Cover Data for Five Study Units in the Nutrient Enrichment Effects Topical Study of the National Water-Quality Assessment Program: U.S. Geological Survey Data Series 306, iv, 9 p., https://doi.org/10.3133/ds306.","productDescription":"iv, 9 p.","additionalOnlineFiles":"Y","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":194947,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10547,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/306/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a11e4b07f02db60043d","contributors":{"authors":[{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":293304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buell, Gary R. grbuell@usgs.gov","contributorId":3107,"corporation":false,"usgs":true,"family":"Buell","given":"Gary","email":"grbuell@usgs.gov","middleInitial":"R.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Moon H. 0000-0002-4328-8409 mkim@usgs.gov","orcid":"https://orcid.org/0000-0002-4328-8409","contributorId":3211,"corporation":false,"usgs":true,"family":"Kim","given":"Moon","email":"mkim@usgs.gov","middleInitial":"H.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nardi, Mark R. 0000-0002-7310-8050 mrnardi@usgs.gov","orcid":"https://orcid.org/0000-0002-7310-8050","contributorId":1859,"corporation":false,"usgs":true,"family":"Nardi","given":"Mark","email":"mrnardi@usgs.gov","middleInitial":"R.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293305,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80686,"text":"ofr20071315 - 2007 - Video documentation of experiments at the USGS debris-flow flume 1992–2024","interactions":[],"lastModifiedDate":"2026-03-24T21:29:45.330727","indexId":"ofr20071315","displayToPublicDate":"2007-12-05T00:00:00","publicationYear":"2007","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":"2007-1315","displayTitle":"Video Documentation of Experiments at the USGS Debris-Flow Flume 1992–2024","title":"Video documentation of experiments at the USGS debris-flow flume 1992–2024","docAbstract":"<p class=\"MsoNormal\">This set of videos presents about 19.1 hours of footage documenting the 183 experiments conducted at the USGS debris-flow flume from 1992 to 2024. Owing to improvements in video technology over the years, the quality of footage from recent experiments generally exceeds that from earlier experiments.</p><p class=\"MsoNormal\">Use the link below to access the individual videos, which are mostly grouped by date and subject matter. When a video is selected from the list, multiple video sequences are generally shown in succession, beginning with a far-field overview and proceeding to close-up views and post-experiment documentation [<a href=\"../of/2007/1315/\" data-mce-href=\"../of/2007/1315/\">https://pubs.usgs.gov/of/2007/1315/</a>].</p><p>Interpretations and data from experiments at the USGS debris-flow flume are not provided here but can be found in published reports, many of which are&nbsp;<a id=\"OWAf9188d30-ecdf-9b2d-4095-dd1edadf6d5b\" title=\"https://www.usgs.gov/search?keywords=debris-flow%20flume&amp;f%5B0%5D=usgs_facet%3Aproducts_data&amp;f%5B1%5D=usgs_facet%3Aproducts_publications\" rel=\"noopener noreferrer\" href=\"https://www.usgs.gov/search?keywords=debris-flow%20flume&amp;f%5B0%5D=usgs_facet%3Aproducts_data&amp;f%5B1%5D=usgs_facet%3Aproducts_publications\" target=\"_blank\" data-linkindex=\"0\" data-auth=\"NotApplicable\" data-ogsc=\"\" data-mce-href=\"https://www.usgs.gov/search?keywords=debris-flow%20flume&amp;f%5B0%5D=usgs_facet%3Aproducts_data&amp;f%5B1%5D=usgs_facet%3Aproducts_publications\">available online at www.usgs.gov</a><span>.</span></p><p class=\"MsoNormal\"><span>A brief introduction to the flume facility is also available online in USGS Open-File Report 92–483 [</span><u data-ogsc=\"\"><a title=\"https://doi.org/10.3133/ofr92483\" rel=\"noopener noreferrer\" href=\"https://doi.org/10.3133/ofr92483\" target=\"_blank\" data-auth=\"NotApplicable\" data-linkindex=\"1\" data-ogsc=\"\" data-mce-href=\"https://doi.org/10.3133/ofr92483\">https://doi.org/10.3133/ofr92483</a></u><span>]</span>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071315","usgsCitation":"Logan, M., Iverson, R.M., and Obryk, M.K., 2007, Video documentation of experiments at the USGS debris-flow flume 1992–2024 (ver 1.5, January 2026): U.S. Geological Survey Open-File Report 2007–1315, https://doi.org/10.3133/ofr20071315.","productDescription":"Videos of experiments conducted at the USGS Debris-Flow Flume 1992–2024","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1992-01-01","temporalEnd":"2024-12-31","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":501183,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2007/1315/versionHist_.txt","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2007-1315 version history"},{"id":125451,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/ofr_2007_1315.jpg"},{"id":10543,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1315/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0: November 23, 2007; Version 1.5: Revised January 30, 2026","contact":"<p><a href=\"https://www.usgs.gov/observatories/cvo/connect\" data-mce-href=\"https://www.usgs.gov/observatories/cvo/connect\">Contact CVO</a><br><a href=\"https://www.usgs.gov/cascades-volcano-observatory\" data-mce-href=\"https://www.usgs.gov/cascades-volcano-observatory\">David A. Johnston Cascades Volcano Observatory</a><br><a href=\"https://usgs.gov\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>1300 SE Cardinal Court, Building 10, Suite 100<br>Vancouver, WA 98683-9589</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2007-11-23","revisedDate":"2026-01-30","noUsgsAuthors":false,"publicationDate":"2007-11-23","publicationStatus":"PW","scienceBaseUri":"4f4e4a13e4b07f02db60204a","contributors":{"authors":[{"text":"Logan, Matthew 0000-0002-3558-2405 mlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-2405","contributorId":638,"corporation":false,"usgs":true,"family":"Logan","given":"Matthew","email":"mlogan@usgs.gov","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":293289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":293288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Obryk, Maciej K. 0000-0002-8182-8656","orcid":"https://orcid.org/0000-0002-8182-8656","contributorId":203477,"corporation":false,"usgs":true,"family":"Obryk","given":"Maciej","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":957095,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207042,"text":"70207042 - 2007 - Postseismic relaxation associated with transient creep rheology","interactions":[],"lastModifiedDate":"2023-08-14T12:04:22.221138","indexId":"70207042","displayToPublicDate":"2007-12-04T11:29:08","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Postseismic relaxation associated with transient creep rheology","docAbstract":"<div class=\"\"><div class=\"article-section__content en main\"><p><span class=\"paraNumber\">[1]<span>&nbsp;</span></span>Perfettini and Avouac (2004) postulated that both the aftershock rate (assumed proportional to the local stressing rate) and the postseismic relaxation are driven by the loading imposed by postseismic slip on the brittle creep fault zone (BCFZ), the downdip extension of the fault zone below the coseismic rupture. I explore the consequences of that hypothesis for a long, strike-slip fault in the case where the BCFZ rheology is compatible with ordinary transient creep (creep strain proportional to log<sub>e</sub>(1 +<span>&nbsp;</span><i>t</i>/<i>τ</i><sub>2</sub>)). Because the important relaxation occurs near the bottom of the coseismic rupture, I calculate the postearthquake response with a model in which the BCFZ is represented by a viscoelastic half-space below the coseismic rupture. I find that both the predicted postseismic relaxation and the cumulative number of aftershocks can be approximated by the same temporal dependence<span>&nbsp;</span><i>N</i><sub>MO</sub>(<i>t</i>) =<span>&nbsp;</span><i>a</i><sub>MO</sub>(1−(1 +<span>&nbsp;</span><i>t</i>/<i>τ</i>)<sup>1−<i>p</i></sup>)/(<i>p</i><span>&nbsp;</span>− 1), where<span>&nbsp;</span><i>t</i><span>&nbsp;</span>is the time after the earthquake and<span>&nbsp;</span><i>a</i><sub>MO</sub>,<span>&nbsp;</span><i>τ</i>, and<span>&nbsp;</span><i>p</i><span>&nbsp;</span>are the constants chosen to fit either data set. Notice that d<i>N</i><sub>MO</sub>(<i>t</i>)/d<i>t</i><span>&nbsp;</span>= (<i>a</i><sub>MO</sub>/<i>τ</i>)/(1 +<span>&nbsp;</span><i>t</i>/<i>τ</i>)<sup><i>p</i></sup><span>&nbsp;</span>is the modified Omori law used to describe the rate of aftershock occurrence. Thus, the modified Omori law can be understood as a consequence of the Perfettini–Avouac hypothesis (aftershocks driven by slip on the BCFZ) and a BCFZ rheology compatible with ordinary transient creep. Moreover, the temporal dependence<span>&nbsp;</span><i>N</i><sub>MO</sub>(<i>t</i>) has been shown to fit postseismic surface deformation following at least 9 earthquakes. I also show that the conventional, one-dimensional, spring-block model of a BFCZ with a rheology compatible with ordinary transient creep leads to the same temporal dependence (<i>N</i><sub>MO</sub>(<i>t</i>)).</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1029/2006JB004688","usgsCitation":"Savage, J.C., 2007, Postseismic relaxation associated with transient creep rheology: Journal of Geophysical Research B: Solid Earth, v. 112, p. 1-7, https://doi.org/10.1029/2006JB004688.","productDescription":"B05412, 7p.","startPage":"1","endPage":"7","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":476871,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006jb004688","text":"Publisher Index Page"},{"id":369899,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","noUsgsAuthors":false,"publicationDate":"2007-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Savage, James C. 0000-0002-5114-7673 jasavage@usgs.gov","orcid":"https://orcid.org/0000-0002-5114-7673","contributorId":2412,"corporation":false,"usgs":true,"family":"Savage","given":"James","email":"jasavage@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":776616,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70207852,"text":"70207852 - 2007 - Guides to understanding the aeromagnetic expression of faults in sedimentary basins: Lessons learned from the central Rio Grande rift, New Mexico","interactions":[],"lastModifiedDate":"2020-01-15T16:12:35","indexId":"70207852","displayToPublicDate":"2007-12-01T16:09:37","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Guides to understanding the aeromagnetic expression of faults in sedimentary basins: Lessons learned from the central Rio Grande rift, New Mexico","docAbstract":"<p><span>High-resolution aeromagnetic data acquired over several basins in the central Rio Grande rift, north-central New Mexico, prominently display low-amplitude (5–15 nT) linear anomalies associated with faults that offset basin-fill sediments. The linear anomalies give an unparalleled view of concealed faults within the basins that has significant implications for future basin studies. These implications provide the impetus for understanding the aeromagnetic expression of faults in greater detail. Lessons learned from the central Rio Grande rift help to understand the utility of aeromagnetic data for examining concealed faults in sedimentary basins in general. For example, linear anomalies in the rift can be explained entirely by the tectonic juxtaposition of magnetically differing strata rather than the product of chemical processes acting at the fault zone. Differences in layer thickness, depth to the layer(s), and magnetic susceptibility govern the variability of the anomaly shape. Further investigations of these variables using simple models provide graphical, mathematical, and conceptual guides for understanding the aeromagnetic expression of faults, including the criteria for aeromagnetic expression of faults, how to locate fault traces from aeromagnetic anomalies, the effect of fault dip, and how to assess the role of topography. The horizontal gradient method applied to reduced-to-pole aeromagnetic data is particularly effective in mapping fault locations, especially at regional scales. With our new understanding of the aeromagnetic expression of faults, we updated interpretations of faults from the aeromagnetic data for the central Rio Grande rift. These interpretations, along with the guides, should provide direction and fuel for future work in a wide variety of multidisciplinary basin-related topics.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00128.1","usgsCitation":"Grauch, V.J., and Hudson, M., 2007, Guides to understanding the aeromagnetic expression of faults in sedimentary basins: Lessons learned from the central Rio Grande rift, New Mexico: Geosphere, v. 3, no. 6, p. 596-623, https://doi.org/10.1130/GES00128.1.","productDescription":"28 p.","startPage":"596","endPage":"623","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":476872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00128.1","text":"Publisher Index Page"},{"id":371279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico ","otherGeospatial":"Rio Grande Rift","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.083740234375,\n              33.44977658311846\n            ],\n            [\n              -105.62255859375,\n              33.44977658311846\n            ],\n            [\n              -105.62255859375,\n              36.12900165569652\n            ],\n            [\n              -107.083740234375,\n              36.12900165569652\n            ],\n            [\n              -107.083740234375,\n              33.44977658311846\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":779535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":779536,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70143020,"text":"70143020 - 2007 - Ground water flow modeling with sensitivity analyses to guide field data collection in a mountain watershed","interactions":[],"lastModifiedDate":"2015-03-16T14:17:56","indexId":"70143020","displayToPublicDate":"2007-12-01T15:30:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1866,"text":"Groundwater Monitoring & Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Ground water flow modeling with sensitivity analyses to guide field data collection in a mountain watershed","docAbstract":"<p>In mountain watersheds, the increased demand for clean water resources has led to an increased need for an understanding of ground water flow in alpine settings. In Prospect Gulch, located in southwestern Colorado, understanding the ground water flow system is an important first step in addressing metal loads from acid-mine drainage and acid-rock drainage in an area with historical mining. Ground water flow modeling with sensitivity analyses are presented as a general tool to guide future field data collection, which is applicable to any ground water study, including mountain watersheds. For a series of conceptual models, the observation and sensitivity capabilities of MODFLOW-2000 are used to determine composite scaled sensitivities, dimensionless scaled sensitivities, and 1% scaled sensitivity maps of hydraulic head. These sensitivities determine the most important input parameter(s) along with the location of observation data that are most useful for future model calibration. The results are generally independent of the conceptual model and indicate recharge in a high-elevation recharge zone as the most important parameter, followed by the hydraulic conductivities in all layers and recharge in the next lower-elevation zone. The most important observation data in determining these parameters are hydraulic heads at high elevations, with a depth of less than 100 m being adequate. Evaluation of a possible geologic structure with a different hydraulic conductivity than the surrounding bedrock indicates that ground water discharge to individual stream reaches has the potential to identify some of these structures. Results of these sensitivity analyses can be used to prioritize data collection in an effort to reduce time and money spend by collecting the most relevant model calibration data.</p>","language":"English","publisher":"National Ground Water Association","publisherLocation":"Dublin, OH","doi":"10.1111/j.1745-6592.2006.00125.x","usgsCitation":"Johnson, R.H., 2007, Ground water flow modeling with sensitivity analyses to guide field data collection in a mountain watershed: Groundwater Monitoring & Remediation, v. 27, no. 1, p. 75-83, https://doi.org/10.1111/j.1745-6592.2006.00125.x.","productDescription":"9 p.","startPage":"75","endPage":"83","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":476873,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1745-6592.2006.00125.x","text":"Publisher Index Page"},{"id":298580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2007-02-20","publicationStatus":"PW","scienceBaseUri":"5507fec0e4b02e76d757c14a","contributors":{"authors":[{"text":"Johnson, Raymond H. rhjohnso@usgs.gov","contributorId":707,"corporation":false,"usgs":true,"family":"Johnson","given":"Raymond","email":"rhjohnso@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":542436,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70200680,"text":"70200680 - 2007 - Statistical modeling of storm level Kp occurrences: Solar cycle modulation","interactions":[],"lastModifiedDate":"2018-10-29T11:18:20","indexId":"70200680","displayToPublicDate":"2007-12-01T11:18:11","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Statistical modeling of storm level Kp occurrences: Solar cycle modulation","docAbstract":"<p><span>We consider the nonstationary, statistical modeling of the occurrence in time of large&nbsp;</span><i>Kp</i><span>&nbsp;geomagnetic storms over the course of multiple solar cycles. Previous work showed that wait times between storms can be represented by an exponential density function, consistent with the realization of a Poisson process. Here we also assume a Poisson process, but to account for solar cycle modulation of storm likelihood, we assume an occurrence rate given by a parametric constant plus a simple sinusoidal function of time. Parameter estimation is accomplished using maximum likelihood, yielding good fits to the&nbsp;</span><i>Kp</i><span>&nbsp;data. We find that the relative phase between storms and sunspots depends on storm size. We quantify previous observations that small storms tend to occur during the declining phase of the solar cycle, while large storms tend to occur very close to solar maximum. We predict average wait time between storms and the storm occurrence rate up through the year 2018.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2006SW000287","usgsCitation":"Love, J.J., Remick, K., and Perkins, D.M., 2007, Statistical modeling of storm level Kp occurrences: Solar cycle modulation: Space Weather, v. 5, no. 12, Article S12005; 14 p., https://doi.org/10.1029/2006SW000287.","productDescription":"Article S12005; 14 p.","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":358878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"12","noUsgsAuthors":false,"publicationDate":"2007-12-29","publicationStatus":"PW","scienceBaseUri":"5c10d7f5e4b034bf6a7fb8c8","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":750111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Remick, K.J.","contributorId":78139,"corporation":false,"usgs":true,"family":"Remick","given":"K.J.","email":"","affiliations":[],"preferred":false,"id":750112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, David M. perkins@usgs.gov","contributorId":2114,"corporation":false,"usgs":true,"family":"Perkins","given":"David","email":"perkins@usgs.gov","middleInitial":"M.","affiliations":[{"id":301,"text":"Geologic Hazards Team","active":false,"usgs":true}],"preferred":true,"id":750113,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70158997,"text":"70158997 - 2007 - Remote sensing sensors and applications in environmental resources mapping and modeling","interactions":[],"lastModifiedDate":"2015-10-12T11:56:00","indexId":"70158997","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3380,"text":"Sensors","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing sensors and applications in environmental resources mapping and modeling","docAbstract":"<p><span>The history of remote sensing and development of different sensors for environmental and natural resources mapping and data acquisition is reviewed and reported. Application examples in urban studies, hydrological modeling such as land-cover and floodplain mapping, fractional vegetation cover and impervious surface area mapping, surface energy flux and micro-topography correlation studies is discussed. The review also discusses the use of remotely sensed-based rainfall and potential evapotranspiration for estimating crop water requirement satisfaction index and hence provides early warning information for growers. The review is not an exhaustive application of the remote sensing techniques rather a summary of some important applications in environmental studies and modeling.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/s7123209","usgsCitation":"Melesse, A.M., Weng, Q., Thenkabail, P.S., and Senay, G.B., 2007, Remote sensing sensors and applications in environmental resources mapping and modeling: Sensors, v. 7, no. 12, p. 3209-3241, https://doi.org/10.3390/s7123209.","productDescription":"33 p.","startPage":"3209","endPage":"3241","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s7123209","text":"Publisher Index Page"},{"id":309829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"12","noUsgsAuthors":false,"publicationDate":"2007-11-11","publicationStatus":"PW","scienceBaseUri":"561cd9ace4b0cdb063e584a6","contributors":{"authors":[{"text":"Melesse, Assefa M.","contributorId":45044,"corporation":false,"usgs":false,"family":"Melesse","given":"Assefa","email":"","middleInitial":"M.","affiliations":[{"id":7003,"text":"Deprtment of Earth & Environmental ECS 339, Florida Interational University","active":true,"usgs":false}],"preferred":false,"id":577206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weng, Qihao","contributorId":112678,"corporation":false,"usgs":true,"family":"Weng","given":"Qihao","email":"","affiliations":[],"preferred":false,"id":577207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":577208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":577209,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80680,"text":"ofr20071313 - 2007 - Coal Rank and Stratigraphy of Pennsylvanian Coal and Coaly Shale Samples, Young County, North-Central Texas","interactions":[],"lastModifiedDate":"2012-02-02T00:14:10","indexId":"ofr20071313","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","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":"2007-1313","title":"Coal Rank and Stratigraphy of Pennsylvanian Coal and Coaly Shale Samples, Young County, North-Central Texas","docAbstract":"Vitrinite reflectance measurements were made to determine the rank of selected subsurface coal and coaly shale samples from Young County, north-central Texas, for the National Coal Resources Database System State Cooperative Program conducted by the Bureau of Economic Geology at The University of Texas at Austin. This research is the continuation of a pilot study that began in adjacent Archer County, and forms part of a larger investigation of the coalbed methane resource potential of Pennsylvanian coals in north-central Texas.\r\n\r\nA total of 57 samples of coal and coaly shale fragments were hand-picked from drill cuttings from depths of about 2,000 ft in five wells, and Ro determinations were made on an initial 10-sample subset. Electric-log correlation of the sampled wells indicates that the collected samples represent coal and coaly shale layers in the Strawn (Pennsylvanian), Canyon (Pennsylvanian), and Cisco (Pennsylvanian-Permian) Groups. Coal rank in the initial sample subset ranges from lignite (Ro=0.39), in a sample from the Cisco Group at a depth of 310 to 320 ft, to high volatile bituminous A coal (Ro=0.91) in a sample from the lower part of the Canyon Group at a depth of 2,030 to 2,040 ft.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071313","collaboration":"Prepared in cooperation with the Bureau of Economic Geology, The University of Texas at Austin","usgsCitation":"Guevara, E.H., Breton, C., and Hackley, P.C., 2007, Coal Rank and Stratigraphy of Pennsylvanian Coal and Coaly Shale Samples, Young County, North-Central Texas: U.S. Geological Survey Open-File Report 2007-1313, Report: iii, 28 p. + Plate (1 p., 36 x 24 inches), https://doi.org/10.3133/ofr20071313.","productDescription":"Report: iii, 28 p. + Plate (1 p., 36 x 24 inches)","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192157,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10537,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1313/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49ade4b07f02db5c7585","contributors":{"authors":[{"text":"Guevara, Edgar H.","contributorId":62298,"corporation":false,"usgs":true,"family":"Guevara","given":"Edgar","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":293269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breton, Caroline","contributorId":105390,"corporation":false,"usgs":true,"family":"Breton","given":"Caroline","email":"","affiliations":[],"preferred":false,"id":293270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":293268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80679,"text":"ofr20071312 - 2007 - Thermal Maturity of Pennsylvanian Coals and Coaly Shales, Eastern Shelf and Fort Worth Basin, Texas","interactions":[],"lastModifiedDate":"2012-02-10T00:11:43","indexId":"ofr20071312","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","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":"2007-1312","title":"Thermal Maturity of Pennsylvanian Coals and Coaly Shales, Eastern Shelf and Fort Worth Basin, Texas","docAbstract":"The U.S. Geological Survey and the Texas Bureau of Economic Geology are engaged in an ongoing collaborative study to characterize the organic composition and thermal maturity of Upper Paleozoic coal-bearing strata from the Eastern Shelf of the Midland basin and from the Fort Worth basin, north-central Texas. Data derived from this study will have application to a better understanding of the potential for coalbed gas resources in the region. This is an important effort in that unconventional resources such as coalbed gas are expected to satisfy an increasingly greater component of United States and world natural gas demand in coming decades. In addition, successful coalbed gas production from equivalent strata in the Kerr basin of southern Texas and from equivalent strata elsewhere in the United States suggests that a closer examination of the potential for coalbed gas resources in north-central Texas is warranted. This report presents thermal maturity data for shallow (<2,000 ft; <610 m) coal and coaly shale cuttings, core, and outcrop samples from the Middle-Upper Pennsylvanian Strawn, Canyon, and Cisco Groups from the Eastern Shelf of the Midland basin. Data for Lower Pennsylvanian Atoka Group strata from deeper wells (5,400 ft; 1,645 m) in the western part of the Fort Worth basin also are included herein. The data indicate that the maturity of some Pennsylvanian coal and coaly shale samples is sufficient to support thermogenic coalbed gas generation on the Eastern Shelf and in the western Fort Worth basin.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071312","collaboration":"Prepared in cooperation with the Bureau of Economic Geology, The University of Texas at Austin","usgsCitation":"Hackley, P.C., Guevara, E.H., Hentz, T.F., and Hook, R.W., 2007, Thermal Maturity of Pennsylvanian Coals and Coaly Shales, Eastern Shelf and Fort Worth Basin, Texas: U.S. Geological Survey Open-File Report 2007-1312, iii, 158 p., https://doi.org/10.3133/ofr20071312.","productDescription":"iii, 158 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194387,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10536,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1312/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.5,29.5 ], [ -99.5,34.5 ], [ -96,34.5 ], [ -96,29.5 ], [ -99.5,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a57e4b07f02db62e600","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":293264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guevara, Edgar H.","contributorId":62298,"corporation":false,"usgs":true,"family":"Guevara","given":"Edgar","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":293267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hentz, Tucker F.","contributorId":16524,"corporation":false,"usgs":true,"family":"Hentz","given":"Tucker","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":293265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hook, Robert W.","contributorId":26006,"corporation":false,"usgs":true,"family":"Hook","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":293266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80678,"text":"sir20075147 - 2007 - Assessment of Historical Water-Quality Data for National Park Units in the Rocky Mountain Network, Colorado and Montana, through 2004","interactions":[],"lastModifiedDate":"2012-02-10T00:11:43","indexId":"sir20075147","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","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":"2007-5147","title":"Assessment of Historical Water-Quality Data for National Park Units in the Rocky Mountain Network, Colorado and Montana, through 2004","docAbstract":"This report summarizes historical water-quality data for six National Park units that compose the Rocky Mountain Network. The park units in Colorado are Florissant Fossil Beds National Monument, Great Sand Dunes National Park and Preserve, and Rocky Mountain National Park; and in Montana, they are Glacier National Park, Grant-Kohrs Ranch National Historic Site, and Little Bighorn Battlefield National Monument. This study was conducted in cooperation with the Inventory and Monitoring Program of the National Park Service to aid in the design of an effective and efficient water-quality monitoring plan for each park. Data were retrieved from a number of sources for the period of record through 2004 and compiled into a relational database. Descriptions of the environmental setting of each park and an overview of the park's water resources are presented. Statistical summaries of water-quality constituents are presented and compared to aquatic-life and drinking-water standards. Spatial, seasonal, and temporal patterns in constituent concentrations also are described and suggestions for future water-quality monitoring are provided.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075147","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Mast, M.A., 2007, Assessment of Historical Water-Quality Data for National Park Units in the Rocky Mountain Network, Colorado and Montana, through 2004: U.S. Geological Survey Scientific Investigations Report 2007-5147, x, 80 p., https://doi.org/10.3133/sir20075147.","productDescription":"x, 80 p.","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":125712,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5147.jpg"},{"id":10535,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5147/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117,37 ], [ -117,49 ], [ -100,49 ], [ -100,37 ], [ -117,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672951","contributors":{"authors":[{"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":293263,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179372,"text":"70179372 - 2007 - Wind River Watershed Restoration: Annual report April 2006 to March 2007","interactions":[],"lastModifiedDate":"2016-12-29T14:24:49","indexId":"70179372","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Wind River Watershed Restoration: Annual report April 2006 to March 2007","docAbstract":"<p>This report summarizes work completed by U.S. Geological Survey’s Columbia River Research Laboratory (USGS-CRRL) in the Wind River subbasin during the period April 2006 through March 2007 under Bonneville Power Administration (BPA) contract 26922. During this period, we collected temperature, flow, and habitat data to characterize physical habitat condition and variation within and among tributaries and mainstem sections in the Wind River subbasin. We also conducted electrofishing and snorkeling surveys to determine juvenile salmonid populations within select study areas throughout the subbasin. Portions of this work were completed with additional funding from U.S. Fish and Wildlife Service (USFWS) and the Lower Columbia Fish Enhancement Group (LCFEG). Funding from USFWS was for work to contribute to a study of potential interactions between introduced Chinook salmon Oncorhynchus tshawytscha and wild steelhead O. mykiss. Funding from LCFEG was for work to evaluate the effects of nutrient enrichment in small streams. A statement of work (SOW) was submitted to BPA in March 2006 that outlined work to be performed by USGS-CRRL. The SOW was organized by work elements, with each describing a research task. This report summarizes the progress completed under each work element. </p>","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Connolly, P., Jezorek, I.G., and Munz, C.S., 2007, Wind River Watershed Restoration: Annual report April 2006 to March 2007, 28 p. .","productDescription":"28 p. ","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Wind river ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.80559158325195,\n              45.7163679593565\n            ],\n            [\n              -121.92506790161133,\n              45.779855442739716\n            ],\n            [\n              -121.92850112915039,\n              45.790748860419896\n            ],\n            [\n              -122.03012466430663,\n              45.816357959181374\n            ],\n            [\n              -122.03956604003906,\n              45.846977678695666\n            ],\n            [\n              -122.03733444213866,\n              45.86730177869193\n            ],\n            [\n              -121.99922561645506,\n              45.885706609686494\n            ],\n            [\n              -121.97742462158202,\n              45.890247123837774\n            ],\n            [\n              -121.94034576416016,\n              45.88259972825987\n            ],\n            [\n              -121.83597564697266,\n              45.79314273281927\n            ],\n            [\n              -121.77005767822266,\n              45.719124575395526\n            ],\n            [\n              -121.76902770996092,\n              45.70785754764231\n            ],\n            [\n              -121.80559158325195,\n              45.7163679593565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58662f1be4b0cd2dabe7c4d7","contributors":{"authors":[{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jezorek, Ian G. 0000-0002-3842-3485 ijezorek@usgs.gov","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":3572,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","email":"ijezorek@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munz, Carrie S. cmunz@usgs.gov","contributorId":3582,"corporation":false,"usgs":true,"family":"Munz","given":"Carrie","email":"cmunz@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656965,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80677,"text":"ofr20071392 - 2007 - Long-term and storm-related shoreline change trends in the Florida Gulf Islands National Seashore","interactions":[],"lastModifiedDate":"2022-07-13T20:27:21.722264","indexId":"ofr20071392","displayToPublicDate":"2007-11-30T00:00:00","publicationYear":"2007","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":"2007-1392","title":"Long-term and storm-related shoreline change trends in the Florida Gulf Islands National Seashore","docAbstract":"<p>Coastal erosion on Northern Gulf of Mexico barrier islands is an ongoing issue that was exacerbated by the storm seasons of 2004 and 2005 when several hurricanes made landfall in the Gulf of Mexico. Two units of the Gulf Islands National Seashore (GUIS), located on Santa Rosa Island, a barrier island off the Panhandle coast of Florida, were highly impacted during the hurricanes of 2004 (Ivan) and 2005 (Cindy, Dennis, Katrina and Rita). In addition to the loss of or damage to natural and cultural resources within the park, damage to park infrastructure, including park access roads and utilities, occurred in areas experiencing rapid shoreline retreat. The main park road was located as close as 50 m to the pre-storm (2001) shoreline and was still under repair from damage incurred during Hurricane Ivan when the 2005 hurricanes struck. A new General Management Plan is under development for the Gulf Islands National Seashore. This plan, like the existing General Management Plan, strives to incorporate natural barrier island processes, and will guide future efforts to provide access to units of Gulf Islands National Seashore on Santa Rosa Island.</p><p>To assess changes in island geomorphology and provide data for park management, the National Park Service and the U.S. Geological Survey are currently analyzing shoreline change to better understand long-term (100+ years) shoreline change trends as well as short-term shoreline impact and recovery to severe storm events. Results show that over an ~140-year period from the late 1800s to May 2004, the average shoreline erosion rates in the Fort Pickens and Santa Rosa units of GUIS were -0.7m/yr and -0.1 m/yr, respectively. Areas of historic erosion, reaching a maximum rate of -1.3 m/yr, correspond to areas that experienced overwash and road damage during the 2004 hurricane season.. The shoreline eroded as much as ~60 m during Hurricane Ivan, and as much as ~88 m over the course of the 2005 storm season. The shoreline erosion rates in the areas where the park road was heavily damaged were as high as -70.2 m/yr over the 2004-2005 time period. Additional post-storm monitoring of these sections of the island, to assess whether erosion rates stabilize, will help to parks to determine the best long-term management strategy for the park infrastructure.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071392","usgsCitation":"Hapke, C.J., and Christiano, M., 2007, Long-term and storm-related shoreline change trends in the Florida Gulf Islands National Seashore: U.S. Geological Survey Open-File Report 2007-1392, 18 p., https://doi.org/10.3133/ofr20071392.","productDescription":"18 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192005,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403688,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_82851.htm","linkFileType":{"id":5,"text":"html"}},{"id":10534,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1392/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Florida Gulf Island National Seashore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.308349609375,\n              30.311245603935003\n            ],\n            [\n              -86.8963623046875,\n              30.311245603935003\n            ],\n            [\n              -86.8963623046875,\n              30.379983796443767\n            ],\n            [\n              -87.308349609375,\n              30.379983796443767\n            ],\n            [\n              -87.308349609375,\n              30.311245603935003\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6de4b07f02db63edab","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":293261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christiano, Mark","contributorId":59522,"corporation":false,"usgs":true,"family":"Christiano","given":"Mark","email":"","affiliations":[],"preferred":false,"id":293262,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80676,"text":"ofr20071261 - 2007 - A GIS Analysis of Seagrass Resources and Condition Within Padre Island National Seashore, Texas","interactions":[],"lastModifiedDate":"2012-02-10T00:11:43","indexId":"ofr20071261","displayToPublicDate":"2007-11-30T00:00:00","publicationYear":"2007","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":"2007-1261","title":"A GIS Analysis of Seagrass Resources and Condition Within Padre Island National Seashore, Texas","docAbstract":"A survey of the seagrass resources of Padre Island National Seashore was conducted in fall 2002 and 2003, with additional sampling through 2006, to resolve distribution questions. Location coordinates were recorded to thousandths of minutes of latitude and longitude and converted to decimal degrees (minus decimal degrees for longitude) for import into ArcView (Environmental Systems Research Institute, Inc.). The seagrass core frequency data were developed as a theme in ArcView and overlaid on digital orthophoto quarter quadrangles of the U.S. Geological Survey to show sample depth with respect to mean sea level and frequency of occurrence of seagrass for five samples collected from every station sampled. These data were used to draw boundaries of area submerged at mean sea level and seagrass meadow in relation to the boundary of Padre Island National Seashore. Frequency of seagrass occurrence, mean plant height, shoot density, plant height multiplied by shoot density, live biomass, and dead biomass on a 1' latitude by 0.25' longitude grid were collected, and their distribution was plotted in space and according to depth. A User Guide for displaying data in ArcView is included at the end of this report.\r\n\r\nSeagrasses covered almost two-thirds of the regularly flooded part of Laguna Madre within the borders of Padre Island National Seashore. Comparisons with earlier surveys showed that substantial areas of seagrass cover had been lost in deep water between 1988 and 1998 as a result of a persistent phytoplankton bloom, and little recovery has occurred since. Maximum depth of seagrass occurrence responded to changes in water clarity. In contrast, much of the cover at shallow to intermediate depths lost at the south end of the study area between 1988 and 1998 was replaced by 2003. The seven stations with greatest plant height were located in this area of recent recolonization. Continuity of cover as measured by frequency of occurrence was high except near the edge of seagrass meadow. Decrease in this measure may be an indicator of meadow fragmentation, signaling deterioration of seagrass meadow before loss. The other measures of condition were so variable that they were insensitive indicators of impending change.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071261","usgsCitation":"Onuf, C.P., and Ingold, J.J., 2007, A GIS Analysis of Seagrass Resources and Condition Within Padre Island National Seashore, Texas (Version 1.0): U.S. Geological Survey Open-File Report 2007-1261, Report: vi, 34 p.; Downloads Directory, https://doi.org/10.3133/ofr20071261.","productDescription":"Report: vi, 34 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194742,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10532,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1261/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.5,26.916666666666668 ], [ -97.5,27.75 ], [ -97.16666666666667,27.75 ], [ -97.16666666666667,26.916666666666668 ], [ -97.5,26.916666666666668 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4955e4b0b290850ef10b","contributors":{"authors":[{"text":"Onuf, Christopher P.","contributorId":55091,"corporation":false,"usgs":true,"family":"Onuf","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":293260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingold, Jaimie J.","contributorId":33007,"corporation":false,"usgs":true,"family":"Ingold","given":"Jaimie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":293259,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80671,"text":"ofr20071293 - 2007 - Characteristics of Fault Zones in Volcanic Rocks Near Yucca Flat, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-10T00:11:38","indexId":"ofr20071293","displayToPublicDate":"2007-11-29T00:00:00","publicationYear":"2007","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":"2007-1293","title":"Characteristics of Fault Zones in Volcanic Rocks Near Yucca Flat, Nevada Test Site, Nevada","docAbstract":"During 2005 and 2006, the USGS conducted geological studies of fault zones at surface outcrops at the Nevada Test Site. The objectives of these studies were to characterize fault geometry, identify the presence of fault splays, and understand the width and internal architecture of fault zones. Geologic investigations were conducted at surface exposures in upland areas adjacent to Yucca Flat, a basin in the northeastern part of the Nevada Test Site; these data serve as control points for the interpretation of the subsurface data collected at Yucca Flat by other USGS scientists. Fault zones in volcanic rocks near Yucca Flat differ in character and width as a result of differences in the degree of welding and alteration of the protolith, and amount of fault offset. Fault-related damage zones tend to scale with fault offset; damage zones associated with large-offset faults (>100 m) are many tens of meters wide, whereas damage zones associated with smaller-offset faults are generally a only a meter or two wide. Zeolitically-altered tuff develops moderate-sized damage zones whereas vitric nonwelded, bedded and airfall tuff have very minor damage zones, often consisting of the fault zone itself as a deformation band, with minor fault effect to the surrounding rock mass. These differences in fault geometry and fault zone architecture in surface analog sites can serve as a guide toward interpretation of high-resolution subsurface geophysical results from Yucca Flat.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071293","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office","usgsCitation":"Sweetkind, D., and Drake, R.M., 2007, Characteristics of Fault Zones in Volcanic Rocks Near Yucca Flat, Nevada Test Site, Nevada (Version 1.0): U.S. Geological Survey Open-File Report 2007-1293, 53 p., https://doi.org/10.3133/ofr20071293.","productDescription":"53 p.","onlineOnly":"Y","temporalStart":"2005-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192070,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10527,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1293/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.25,36.916666666666664 ], [ -116.25,37.25 ], [ -115.91666666666667,37.25 ], [ -115.91666666666667,36.916666666666664 ], [ -116.25,36.916666666666664 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a22b","contributors":{"authors":[{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":293247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drake, Ronald M. II 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":1353,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald","suffix":"II","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":293246,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80673,"text":"sir20075163 - 2007 - Effects of Canals and Roads on Hydrologic Conditions and Health of Atlantic White Cedar at Emily and Richardson Preyer Buckridge Coastal Reserve, North Carolina, 2003-2006","interactions":[],"lastModifiedDate":"2017-01-17T09:56:41","indexId":"sir20075163","displayToPublicDate":"2007-11-29T00:00:00","publicationYear":"2007","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":"2007-5163","title":"Effects of Canals and Roads on Hydrologic Conditions and Health of Atlantic White Cedar at Emily and Richardson Preyer Buckridge Coastal Reserve, North Carolina, 2003-2006","docAbstract":"The effects of canals and roads on hydrologic conditions and on the health of Atlantic white cedar at the Emily and Richardson Preyer Buckridge Coastal Reserve in North Carolina were evaluated by using data collected from the 1980s to 2006. Water levels were monitored along two transects established perpendicular to roads and canals in areas of healthy and unhealthy Atlantic white cedar as part of a study conducted from February 2003 through March 2006. Because of the low hydraulic gradient at the Reserve, the rate and direction of water movement are sensitive to disturbance. Canals increased drainage and contributed to lower water levels in some parts of the Reserve, whereas roads, depending on orientation, impeded drainage. Canals also appeared to facilitate movement of brackish water from the Alligator River into the interior of the Reserve during storms and wind tides. Data indicate that an influx of brackish water occurred in mid-September 2005 several days after the passage of Hurricane Ophelia. Although precipitation amounts and wind speeds associated with Hurricane Ophelia were not large, substantial changes in specific conductance occurred at the canal site on the unhealthy Atlantic white cedar transect. No corresponding increase in specific conductance was observed at the canal site on the healthy Atlantic white cedar transect.\r\n\r\nThe specific conductance of water samples from canals and piezometers was highly correlated with concentrations of chloride and sodium. Ion ratios of some of the water samples, particularly samples with high specific conductance, were similar to those of seawater. Thermal and chemical stratification of water in the canals occurred during summer and winter months, and turnover and mixing occurred in the spring and fall. Upwelling of ground water as a result of excavation for roads did not appear to have a significant effect on the water quality of samples from the canals or piezometers. The specific conductance of water samples from piezometers installed in the root zone of healthy stands of Atlantic white cedar generally was lower than in water samples from unhealthy stands. This pattern also was observed in samples from piezometers installed on the transects and in other areas of the Reserve. Roads appear to have isolated some areas of the Reserve from the high-conductivity water in nearby canals. The paths by which brackish water entered the Reserve cannot be determined from the data obtained during this investigation. It appears that water can enter the Reserve from various directions, depending on wind patterns and water levels in the Alligator River.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075163","collaboration":"Prepared in cooperation with the North Carolina Department of Environment and Natural Resources, Division of Coastal Management","usgsCitation":"Ferrell, G.M., Strickland, A.G., and Spruill, T.B., 2007, Effects of Canals and Roads on Hydrologic Conditions and Health of Atlantic White Cedar at Emily and Richardson Preyer Buckridge Coastal Reserve, North Carolina, 2003-2006: U.S. Geological Survey Scientific Investigations Report 2007-5163, viii, 175 p., https://doi.org/10.3133/sir20075163.","productDescription":"viii, 175 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2003-02-01","temporalEnd":"2006-03-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":195394,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10529,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5163/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","otherGeospatial":"Emily and Richardson Preyer Buckridge Coastal Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.91253662109375,\n              35.14461705293515\n            ],\n            [\n              -76.91253662109375,\n              36.16670524263733\n            ],\n            [\n              -75.51177978515625,\n              36.16670524263733\n            ],\n            [\n              -75.51177978515625,\n              35.14461705293515\n            ],\n            [\n              -76.91253662109375,\n              35.14461705293515\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688cf7","contributors":{"authors":[{"text":"Ferrell, Gloria M. gferrell@usgs.gov","contributorId":1595,"corporation":false,"usgs":true,"family":"Ferrell","given":"Gloria","email":"gferrell@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":293250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strickland, A. Gerald","contributorId":88048,"corporation":false,"usgs":true,"family":"Strickland","given":"A.","email":"","middleInitial":"Gerald","affiliations":[],"preferred":false,"id":293252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spruill, Timothy B.","contributorId":51724,"corporation":false,"usgs":true,"family":"Spruill","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":293251,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80672,"text":"ofr20071350 - 2007 - Hydrologic Record Extension of Water-Level Data in the Everglades Depth Estimation Network (EDEN) Using Artificial Neural Network Models, 2000-2006","interactions":[],"lastModifiedDate":"2012-03-08T17:16:23","indexId":"ofr20071350","displayToPublicDate":"2007-11-29T00:00:00","publicationYear":"2007","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":"2007-1350","title":"Hydrologic Record Extension of Water-Level Data in the Everglades Depth Estimation Network (EDEN) Using Artificial Neural Network Models, 2000-2006","docAbstract":"The Everglades Depth Estimation Network (EDEN) is an integrated network of real-time water-level gaging stations, ground-elevation models, and water-surface models designed to provide scientists, engineers, and water-resource managers with current (2000-present) water-depth information for the entire freshwater portion of the greater Everglades. The U.S. Geological Survey Greater Everglades Priority Ecosystem Science provides support for EDEN and the goal of providing quality assured monitoring data for the U.S. Army Corps of Engineers Comprehensive Everglades Restoration Plan. To increase the accuracy of the water-surface models, 25 real-time water-level gaging stations were added to the network of 253 established water-level gaging stations. To incorporate the data from the newly added stations to the 7-year EDEN database in the greater Everglades, the short-term water-level records (generally less than 1 year) needed to be simulated back in time (hindcasted) to be concurrent with data from the established gaging stations in the database. A three-step modeling approach using artificial neural network models was used to estimate the water levels at the new stations. The artificial neural network models used static variables that represent the gaging station location and percent vegetation in addition to dynamic variables that represent water-level data from the established EDEN gaging stations. The final step of the modeling approach was to simulate the computed error of the initial estimate to increase the accuracy of the final water-level estimate.\r\n\r\nThe three-step modeling approach for estimating water levels at the new EDEN gaging stations produced satisfactory results. The coefficients of determination (R2) for 21 of the 25 estimates were greater than 0.95, and all of the estimates (25 of 25) were greater than 0.82. The model estimates showed good agreement with the measured data. For some new EDEN stations with limited measured data, the record extension (hindcasts) included periods beyond the range of the data used to train the artificial neural network models. The comparison of the hindcasts with long-term water-level data proximal to the new EDEN gaging stations indicated that the water-level estimates were reasonable. The percent model error (root mean square error divided by the range of the measured data) was less than 6 percent, and for the majority of stations (20 of 25), the percent model error was less than 1 percent.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071350","collaboration":"Prepared in cooperation with the U.S. Geological Survey Greater Everglades Priority Ecosystems Science","usgsCitation":"Conrads, P., and Roehl, E.A., 2007, Hydrologic Record Extension of Water-Level Data in the Everglades Depth Estimation Network (EDEN) Using Artificial Neural Network Models, 2000-2006: U.S. Geological Survey Open-File Report 2007-1350, vi, 57 p., https://doi.org/10.3133/ofr20071350.","productDescription":"vi, 57 p.","onlineOnly":"Y","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":194670,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10528,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1350/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611e6b","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roehl, Edwin A. Jr.","contributorId":108083,"corporation":false,"usgs":false,"family":"Roehl","given":"Edwin","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":293249,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80667,"text":"sir20075222 - 2007 - Relations of Principal Components Analysis Site Scores to Algal-Biomass, Habitat, Basin-Characteristics, Nutrient, and Biological-Community Data in the West Fork White River Basin, Indiana, 2001","interactions":[],"lastModifiedDate":"2016-05-24T08:52:04","indexId":"sir20075222","displayToPublicDate":"2007-11-28T00:00:00","publicationYear":"2007","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":"2007-5222","title":"Relations of Principal Components Analysis Site Scores to Algal-Biomass, Habitat, Basin-Characteristics, Nutrient, and Biological-Community Data in the West Fork White River Basin, Indiana, 2001","docAbstract":"<p>Data were gathered from July through September 2001 at 34 randomly selected sites in the West Fork White River Basin, Indiana for algal biomass, habitat, nutrients, and biological communities (fish and invertebrates). Basin characteristics (drainage area and land use) and biological-community attributes and metric scores were determined for the basin of each sampling site. Yearly Principal Components Analysis site scores were calculated for algal biomass (periphyton and seston). The yearly Principal Components Analysis site scores for the first axis (PC1) were related, using Spearman's rho, to the seasonal algal-biomass, basin-characteristics, habitat, seasonal nutrient, biological-community attribute and metric score data. The periphyton PC1 site score, which was most influenced by ash-free dry mass, was negatively related to one (percent closed canopy) of nine habitat variables examined. Of the 43 fish-community attributes and metric scores examined, the periphyton PC1 was positively related to one fish-community attribute (percent tolerant). Of the 21 invertebrate-community attributes and metric scores examined, the periphyton PC1 was positively related to one attribute (Ephemeroptera, Plecoptera, and Trichoptera (EPT) index) and one metric score (EPT index metric score). The periphyton PC1 was not related to the five basin-characteristic or 12 nutrient variables examined. The seston PC1 site score, which was most influenced by particulate organic carbon, was negatively related to two of the 12 nutrient variables examined: total Kjeldahl nitrogen (July) and total phosphorus (July). Of the 43 fish-community attributes and metric scores examined, the seston PC1 was negatively related to one attribute (large-river percent). Of the 21 invertebrate-community attributes and metric scores examined, the seston PC1 was negatively related to one attribute (EPT-to-total ratio). The seston PC1 was not related to the five basin-characteristics or nine habitat variables examined. To understand how the choice of sampling sites might have affected the results, an analysis of the drainage area and land use was done. The 34 randomly selected sites in the West Fork White River Basin in 2001 were skewed to small streams. The dominant mean land use of the sites sampled was agriculture, followed by forest, and urban. The values for nutrients (nitrate, total Kjeldahl nitrogen, total nitrogen, and total phosphorus) and chlorophyll a (periphyton and seston) were compared to published U.S. Environmental Protection Agency (USEPA) values for Aggregate Nutrient Ecoregions VI and IX and Level III Ecoregions 55 and 72. Several nutrient values were greater than the 25th percentile of the published USEPA values. Chlorophyll a (periphyton and seston) values were either greater than the 25th percentile of published USEPA values or extended data ranges in the Aggregate Nutrient Ecoregions and Level III Ecoregions. If the proposed values for the 25th percentile were adopted as nutrient water-quality criteria, many samples in the West Fork White River Basin would have exceeded the criteria.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20075222","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management, Division of Water, Assessment Branch","usgsCitation":"Frey, J.W., Caskey, B.J., and Lowe, B.S., 2007, Relations of Principal Components Analysis Site Scores to Algal-Biomass, Habitat, Basin-Characteristics, Nutrient, and Biological-Community Data in the West Fork White River Basin, Indiana, 2001: U.S. Geological Survey Scientific Investigations Report 2007-5222, vi, 26 p., https://doi.org/10.3133/sir20075222.","productDescription":"vi, 26 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Basin characteristics (drainage area and land use) and biological-community attributes and metric scores were determined for each sampling site's basin. Yearly Principal Components Analysis site scores were calculated for algal biomass (periphyton and seston). The yearly Principal Components Analysis site scores for the first axis (PC1) were related, using Spearman's rho, to the seasonal algal-biomass, basin-characteristics, habitat, seasonal nutrient, biological-community attribute and metric score data.</p>\n<p>The periphyton PC1 site score, which was most influenced by September chlorophyll a, was not related to the five basin-characteristics, nine habitat, or 12 nutrient variables examined. Of the 43 fish-community attributes and metric scores examined, the periphyton PC1 was negatively related to one attribute (tolerant percent) and positively related to one metric score (insectivore percent metric score). Of the 43 invertebrate-community attributes and metric scores examined, the periphyton PC1 was negatively related to three attributes (Ephemeroptera, Plecoptera, and Trichoptera (EPT) count, EPT-to-total ratio, and number of taxa) and four metric scores (EPT count metric score, EPT to total ratio metric score, macroinvertebrate Index of Biotic Integrity metric score, and number of taxa metric score). The seston PC1 was not related to the five basin-characteristics, nine habitat, or 12 nutrient variables or to the 43 fish- and 21 invertebrate-community attributes or metric scores examined.</p>\n<p>To understand how the choice of sampling sites might have affected the results, an analysis of the drainage area and land use was done. The random site selection in 2003 in the Upper Wabash River Basin was skewed to small streams. The lack of large streams in the Upper Wabash River Basin could account for the few relations among the seston and the biological-community data.</p>\n<p>The values for nutrients (nitrate, total Kjeldahl nitrogen, total nitrogen, and total phosphorus) and chlorophyll a (periphyton and seston) were compared to published U.S. Environmental Protection Agency (USEPA) values for Aggregate Nutrient Ecoregions VI and VII and USEPA Level III Ecoregions 55 and 56. Several nutrient values were greater than the 25th percentile of the published USEPA values. Chlorophyll a (periphyton and seston) values either were greater than the 25th percentile of published USEPA values or extended data ranges in the Aggregate Nutrient and Level III Ecoregions. If the proposed values for the 25th percentile were adopted as nutrient water-quality criteria, many samples in the Upper Wabash River Basin would have exceeded the criteria.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20075231","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management, Division of Water, Assessment Branch","usgsCitation":"Leer, D.R., Caskey, B.J., Frey, J.W., and Lowe, B.S., 2007, Relations of principal components analysis site scores to algal-biomass, habitat, basin-characteristics, nutrient, and biological-community data in the Upper Wabash River Basin, Indiana, 2003: U.S. Geological Survey Scientific Investigations Report 2007-5231, vi, 25 p., https://doi.org/10.3133/sir20075231.","productDescription":"vi, 25 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,{"id":80668,"text":"sir20075229 - 2007 - Relations of principal components analysis site scores to algal-biomass, habitat, basin-characteristics, nutrient, and biological-community data in the Whitewater River and East Fork White River basins, Indiana, 2002","interactions":[],"lastModifiedDate":"2022-10-14T21:58:13.231172","indexId":"sir20075229","displayToPublicDate":"2007-11-28T00:00:00","publicationYear":"2007","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":"2007-5229","title":"Relations of principal components analysis site scores to algal-biomass, habitat, basin-characteristics, nutrient, and biological-community data in the Whitewater River and East Fork White River basins, Indiana, 2002","docAbstract":"Data were gathered from May through September 2002 at 76 randomly selected sites in the Whitewater River and East Fork White River Basins, Indiana, for algal biomass, habitat, nutrients, and biological communities (fish and invertebrates). Basin characteristics (land use and drainage area) and biolog-ical-community attributes and metric scores were determined for the basin of each sampling site. Yearly Principal Compo-nents Analysis site scores were calculated for algal biomass (periphyton and seston). The yearly Principal Components Analysis site scores for the first axis (PC1) were related using Spearman's rho to the seasonal algal-biomass, basin-charac-teristics, habitat, seasonal nutrient, and biological-community attribute and metric score data.\r\n\r\nThe periphyton PC1 site score was not significantly related to the nine habitat or 12 nutrient variables examined. One land-use variable, drainage area, was negatively related to the periphyton PC1. Of the 43 fish-community attributes and metrics examined, the periphyton PC1 was negatively related to one attribute (large-river percent) and one metric score (car-nivore percent metric score). It was positively related to three fish-community attributes (headwater percent, pioneer percent, and simple lithophil percent). The periphyton PC1 was not statistically related to any of the 21 invertebrate-community attributes or metric scores examined.\r\n\r\nOf the 12 nutrient variables examined two were nega-tively related to the seston PC1 site score in two seasons: total Kjeldahl nitrogen (July and September), and TP (May and September). There were no statistically significant relations between the seston PC1 and the five basin-characteristics or nine habitat variables examined. Of the 43 fish-community attributes and metrics examined, the seston PC1 was positively related to one attribute (headwater percent) and negatively related to one metric score (large-river percent metric score) . Of the 21 invertebrate-community attributes and metrics exam-ined, the seston PC1 was negatively related to one metric score (number of individuals metric score).\r\n\r\nTo understand how the choice of sampling sites might have affected the results, an analysis of the drainage area and land use was done. The sites selected in the Whitewater River Basin were generally small drainage basins; compared to Whitewater River Basin sites, the sites selected in the East Fork White River Basin were generally larger drainage basins. Although both basins were dominated by agricultural land use the Whitewater River Basin sites had more land in agriculture than the East Fork White River Basin sites.\r\n\r\nThe values for nutrients (nitrate, total Kjeldahl nitrogen, total nitrogen, and total phosphorus) and chlorophyll a (per-iphyton and seston) were compared to published U.S. Environmental Protection Agency (USEPA) values for Aggregate Nutrient Ecoregions VI and IX and USEPA Level III Ecore-gions 55 and 71. Several nutrient values were greater than the 25th percentile of published USEPA values. Chlorophyll a (periphyton and seston) values were either greater than the 25thpercentile of published USEPA values or they extended data ranges in the Aggregate Nutrient and Level III Ecore-gions. If the values for the 25th percentile as proposes by the USEPA were adopted as nutrient water-quality criteria, many samples in the Whitewater River and East Fork White River Basins would have exceeded the criteria.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075229","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management, Division of Water, Assessment Branch","usgsCitation":"Caskey, B.J., Frey, J.W., and Lowe, B.S., 2007, Relations of principal components analysis site scores to algal-biomass, habitat, basin-characteristics, nutrient, and biological-community data in the Whitewater River and East Fork White River basins, Indiana, 2002: U.S. Geological Survey Scientific Investigations Report 2007-5229, vi, 31 p., https://doi.org/10.3133/sir20075229.","productDescription":"vi, 31 p.","onlineOnly":"Y","temporalStart":"2002-05-01","temporalEnd":"2002-09-30","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194630,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10524,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5229/","linkFileType":{"id":5,"text":"html"}},{"id":408367,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_82848.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Indiana","otherGeospatial":"Whitewater River and East Fork White River basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.25,\n              38.4444\n            ],\n            [\n              -84.805,\n              38.4444\n            ],\n            [\n              -84.805,\n              40.0667\n            ],\n            [\n              -87.25,\n              40.0667\n            ],\n            [\n              -87.25,\n              38.4444\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b31e4b07f02db6b4118","contributors":{"authors":[{"text":"Caskey, Brian J.","contributorId":104119,"corporation":false,"usgs":true,"family":"Caskey","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":293238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 jwfrey@usgs.gov","orcid":"https://orcid.org/0000-0002-3453-5009","contributorId":487,"corporation":false,"usgs":true,"family":"Frey","given":"Jeffrey","email":"jwfrey@usgs.gov","middleInitial":"W.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowe, B. Scott","contributorId":52671,"corporation":false,"usgs":true,"family":"Lowe","given":"B.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":293237,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80666,"text":"ofr20071291 - 2007 - Magnetotelluric Data, Southern San Luis Valley, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:41","indexId":"ofr20071291","displayToPublicDate":"2007-11-28T00:00:00","publicationYear":"2007","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":"2007-1291","title":"Magnetotelluric Data, Southern San Luis Valley, Colorado","docAbstract":"Introduction\r\n\r\nThe population of the San Luis Valley region is growing rapidly. The shallow unconfined and the deeper confined Santa Fe Group aquifer in the San Luis Basin is the main sources of municipal water for the region. Water shortfalls could have serious consequences. Future growth and land management in the region depend on accurate assessment and protection of the region's ground-water resources. An important issue in managing the ground-water resources is a better understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits that fill the Rio Grande rift, which contain the principal ground-water aquifers.\r\n\r\nThe U.S. Geological Survey (USGS) is conducting a series of multidisciplinary studies of the San Luis Basin located in southern Colorado. Detailed geologic mapping, high-resolution airborne magnetic surveys, gravity surveys, an electromagnetic survey, called magnetotellurics (MT), and hydrologic and lithologic data are being used to better understand the aquifer systems. The primary goal of the MT survey is to map changes in electrical resistivity with depth that are related to differences in rock type. These various rock types help control the properties of aquifers in the region. This report does not include any interpretation of the data. Its purpose is to release the MT data acquired at the 22 stations shown in figure 1.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071291","usgsCitation":"Williams, J.M., and Rodriguez, B.D., 2007, Magnetotelluric Data, Southern San Luis Valley, Colorado (Version 1.0): U.S. Geological Survey Open-File Report 2007-1291, 208 p., https://doi.org/10.3133/ofr20071291.","productDescription":"208 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190865,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10522,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1291/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106,37 ], [ -106,37.75 ], [ -105,37.75 ], [ -105,37 ], [ -106,37 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6493d9","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":293232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":293231,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80658,"text":"sir20075084 - 2007 - Water-quality characteristics for selected sites within the Milwaukee Metropolitan Sewerage District planning area, Wisconsin, February 2004-September 2005","interactions":[],"lastModifiedDate":"2022-12-19T22:54:52.196776","indexId":"sir20075084","displayToPublicDate":"2007-11-22T00:00:00","publicationYear":"2007","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":"2007-5084","title":"Water-quality characteristics for selected sites within the Milwaukee Metropolitan Sewerage District planning area, Wisconsin, February 2004-September 2005","docAbstract":"The Milwaukee Metropolitan Sewerage District (MMSD) Corridor Study is a three-phase project designed to improve the understanding of water resources in the MMSD planning area to assist managers and policy makers in their decisions. Phase I of the Study involved the compilation of existing data from multiple agencies into a single database. These data were analyzed to identify spatial, temporal, and technological gaps in the planning area, and were used to develop Phase II of the Study. Phase II, the subject of this report, involved an intensive data-collection effort by the U.S. Geological Survey (USGS) in cooperation with MMSD (from February, 2004, through September, 2005). This phase addressed the data gaps identified in Phase I and completed a baseline assessment of water quality for selected stream and harbor sites in the MMSD planning area. This baseline assessment included evaluations of surface-water chemistry and microbial concentrations in the streams and harbor sites; additionally, stream sites were evaluated for discharge, sediment chemistry, fish-tissue chemistry, habitat, and the quality of biological communities (including fish, macroinvertebrates, and algae). In all, data were collected at 15 stream and 6 harbor sites within the MMSD planning area, including manual sampling and analysis for more than 220 water-quality properties and constituents at all 21 sites, stream-discharge data for 14 stream sites, and automated water-quality sampling at 4 stream sites. A bioassessment during autumn 2004 included collection of biologic-community data and stream-habitat data at wadeable streams.\r\n\r\nQuartiles of Phase II aggregate bioassessment rankings were used to divide the 14 wadeable stream sites into four groups to investigate relations between bioassessment data and site characteristic and water-quality data. Quartile numbers reflect relative water quality: quartile 1 contained sites where the bioassessment data indicated the least-degraded water quality among those sampled, and quartile 4 contained sites that indicated the most-degraded water quality. Quartiles contained the following stream sites:\r\n\r\nQuartile 1: Milwaukee River near Cedarburg, Milwaukee River at Milwaukee, Jewel Creek, and Menomonee River at Menomonee Falls; \r\nQuartile 2: Willow Creek, Root River near Franklin, and Root River at Grange Avenue; \r\nQuartile 3: Menomonee River at Wauwatosa, Oak Creek, and Little Menomonee River; and \r\nQuartile 4: Honey Creek, Underwood Creek, Lincoln Creek, and Kinnickinnic River.\r\n\r\nSite characteristics (in this case, drainage area and land use) and selected water-quality data were summarized based on the four bioassessment quartiles to determine if there were relations with the aggregate bioassessment rankings. In general, sites having the largest drainage basins with the lowest proportion of urban land use were in quartile 1, and the smallest drainage basins with the highest proportion of urban land use were in quartile 4. Major ions, indicator organisms, and wastewater compounds generally had the lowest overall results in quartile 1 and highest overall results in quartile 4, with intermediate results in quartiles 2 and 3. Results for other constituent types (nutrients, mercury, pathogenic organisms, and bed sediment) were mixed, with results for some constituents decreasing from quartile 1 to quartile 4.\r\n\r\nWhere sufficient Phase I data were available, summary statistics (including medians) for chemical and biological data were calculated, allowing some comparisons to be made between Phase I and Phase II data. Comparisons between Phase I and Phase II results indicated a variety of changes with respect to water quality. Concentrations of chloride, nitrate, chlorophyll a, total phosphorus in water; arsenic in bed sediment; and fish Index of Biotic Integrity ratings generally indicated declines in water quality. However, concentrations of total nitrogen, suspended sediment, and fecal coliform in water; some trace eleme","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075084","collaboration":"Prepared in cooperation with the Milwaukee Metropolitan Sewerage District","usgsCitation":"Thomas, J.C., Lutz, M., Bruce, J.L., Graczyk, D., Richards, K.D., Krabbenhoft, D.P., Westenbroek, S.M., Scudder, B.C., Sullivan, D.J., and Bell, A.H., 2007, Water-quality characteristics for selected sites within the Milwaukee Metropolitan Sewerage District planning area, Wisconsin, February 2004-September 2005: U.S. Geological Survey Scientific Investigations Report 2007-5084, xiv, 187 p., https://doi.org/10.3133/sir20075084.","productDescription":"xiv, 187 p.","temporalStart":"2004-02-01","temporalEnd":"2005-09-30","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194401,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":410755,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83315.htm","linkFileType":{"id":5,"text":"html"}},{"id":10801,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5084/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wisconsin","city":"Milwaukee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.194,\n              42.8333\n            ],\n            [\n              -88.194,\n              43.2833\n            ],\n            [\n              -87.8333,\n              43.2833\n            ],\n            [\n              -87.8333,\n              42.8333\n            ],\n            [\n              -88.194,\n              42.8333\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f1e4b07f02db5ee75e","contributors":{"authors":[{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lutz, Michelle A.","contributorId":32862,"corporation":false,"usgs":true,"family":"Lutz","given":"Michelle A.","affiliations":[],"preferred":false,"id":293210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruce, Jennifer L. 0000-0003-4915-5567 jlbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-4915-5567","contributorId":132,"corporation":false,"usgs":true,"family":"Bruce","given":"Jennifer","email":"jlbruce@usgs.gov","middleInitial":"L.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graczyk, David J.","contributorId":107265,"corporation":false,"usgs":true,"family":"Graczyk","given":"David J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293212,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richards, Kevin D. krichard@usgs.gov","contributorId":280,"corporation":false,"usgs":true,"family":"Richards","given":"Kevin","email":"krichard@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293206,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293209,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scudder, Barbara C.","contributorId":100319,"corporation":false,"usgs":true,"family":"Scudder","given":"Barbara","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":293211,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sullivan, Daniel J. 0000-0003-2705-3738 djsulliv@usgs.gov","orcid":"https://orcid.org/0000-0003-2705-3738","contributorId":1703,"corporation":false,"usgs":true,"family":"Sullivan","given":"Daniel","email":"djsulliv@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293207,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bell, Amanda H. 0000-0002-7199-2145 ahbell@usgs.gov","orcid":"https://orcid.org/0000-0002-7199-2145","contributorId":1752,"corporation":false,"usgs":true,"family":"Bell","given":"Amanda","email":"ahbell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293208,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":80660,"text":"ofr20071372 - 2007 - Changes in streamflow, concentrations, and loads in selected nontidal basins in the Chesapeake Bay Watershed, 1985-2006","interactions":[],"lastModifiedDate":"2021-07-02T14:10:00.827397","indexId":"ofr20071372","displayToPublicDate":"2007-11-22T00:00:00","publicationYear":"2007","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":"2007-1372","title":"Changes in streamflow, concentrations, and loads in selected nontidal basins in the Chesapeake Bay Watershed, 1985-2006","docAbstract":"<p>Water-quality and streamflow data from 34 sites in nontidal parts of the Chesapeake Bay watershed are presented to document annual nutrient and sediment loads and trends for 1985 through 2006, as part of an annual evaluation of water-quality conditions by the U.S. EPA Chesapeake Bay Program. This study presents the results of trends analysis for streamflow, loads, and concentrations. Annual mean flow to the bay for 2006 (78,650 cubic feet per second) was approximately 1 percent above the long-term annual mean flow from 1937 to 2005. Total freshwater flow entering the bay for the summer season (July-August-September) was the only season classified as 'wet' in 2006. For the period 1985 through 2006, streamflow was significantly increasing at two of the 34 sites. Observed (bias-corrected) concentration summaries indicate higher ranges in concentrations of total nitrogen in the northern major river basins (Pennsylvania, Maryland, and northern Virginia) than in the southern basins in Virginia. Results indicate almost half of the monitoring sites in the northern basins exhibited significant downward bias-corrected concentration trends in total nitrogen over time; results were similar for total phosphorus and sediment. Generally, loads for all constituents at the nine River Input Monitoring Program (RIM) sites, which comprise 78 percent of the streamflow entering the bay, were lower in 2006 than in 2005. The loads for total nitrogen are below the long-term average loads at eight of the nine RIM sites and total phosphorus and sediment loads are also below the long-term average at seven RIM sites. Combined annual mean total nitrogen flow-weighted concentrations from the nine RIM sites indicated an upward tendency in 2006; in contrast, total phosphorus and sediment indicated a downward tendency. </p><p>From 1990 to 2006 for the 9 RIM sites, the mean concentrations of total nitrogen, total phosphorus, and sediment were 3.49, 0.195, and 116 milligrams per liter, respectively. Flow-weighted concentrations for phosphorus and sediment were lowest in the Susquehanna River at Conowingo, Md., most likely because of the trapping efficiency of three large reservoirs upstream from the sampling point. </p><p>For all 34 sites and all constituents, trends in concentrations (not adjusted for flow) showed 12 statistically significant upward trends and 59 statistically significant downward trends for the period 1985 through 2006. When trends in concentrations are adjusted for flow, they can be used as indicators of human activity and effectiveness of management actions. The flow-adjusted trends indicated significant downward trends at approximately 74, 68, and 32 percent of the sites for total nitrogen, total phosphorus, and sediment, respectively. This may indicate that management actions are having some effect in reducing nutrients and sediments.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071372","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Chesapeake Bay Program Office, the Maryland Department of Natural Resources, and the Virginia Department of Environmental Quality","usgsCitation":"Langland, M.J., Moyer, D., and Blomquist, J., 2007, Changes in streamflow, concentrations, and loads in selected nontidal basins in the Chesapeake Bay Watershed, 1985-2006: U.S. Geological Survey Open-File Report 2007-1372, viii, 68 p., https://doi.org/10.3133/ofr20071372.","productDescription":"viii, 68 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1985-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":532,"text":"Pennsylvania Water Science 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