{"pageNumber":"512","pageRowStart":"12775","pageSize":"25","recordCount":68899,"records":[{"id":70137951,"text":"ofr20141246 - 2015 - Water-level and wave measurements in the Chandeleur Islands, Louisiana, 2012 and 2013","interactions":[],"lastModifiedDate":"2015-02-13T15:50:07","indexId":"ofr20141246","displayToPublicDate":"2015-02-13T16:45:00","publicationYear":"2015","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":"2014-1246","title":"Water-level and wave measurements in the Chandeleur Islands, Louisiana, 2012 and 2013","docAbstract":"<p><span>This report documents measurements of atmospheric pressure, water levels, and waves made by the U.S. Geological Survey in the Chandeleur Islands, Louisiana, during 2012 and 2013 as part of the Barrier Island Evolution Research project. Simple, inexpensive pressure sensors mounted in shallow wells were buried in the beach and left for one hurricane season and one winter-storm season. Gauges with rapid-sampling pressure sensors that provided nondirectional wave data and water-level data were mounted on rugged mounts on the Chandeleur Sound side and at the base of a tower at the northern end of the island chain. Additionally, an atmospheric pressure sensor was mounted on the tower to provide a local atmospheric pressure measurement for correcting the submerged pressure records.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141246","usgsCitation":"Dickhudt, P., Sherwood, C.R., and DeWitt, N.T., 2015, Water-level and wave measurements in the Chandeleur Islands, Louisiana, 2012 and 2013: U.S. Geological Survey Open-File Report 2014-1246, Report: HTML Document; Report: viii, 49 p., https://doi.org/10.3133/ofr20141246.","productDescription":"Report: HTML Document; Report: viii, 49 p.","numberOfPages":"59","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-056460","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141246.JPG"},{"id":297974,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1246/"},{"id":297975,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1246/ofr2014-1246-title_page.html","text":"Report (HTML format)","linkFileType":{"id":5,"text":"html"}},{"id":297976,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1246/pdf/ofr2014-1246.pdf","text":"Report PDF","size":"1.52 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.88763427734375,\n              30.055425546694924\n            ],\n            [\n              -88.86703491210938,\n              30.07087666238811\n            ],\n            [\n              -88.8196563720703,\n              30.00013836058068\n            ],\n            [\n              -88.81004333496094,\n              29.83945268266779\n            ],\n            [\n              -88.8519287109375,\n              29.840048293026957\n            ],\n            [\n              -88.84025573730469,\n              29.95136495173933\n            ],\n            [\n              -88.88763427734375,\n              30.055425546694924\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54df2032e4b08de9379b3a35","contributors":{"authors":[{"text":"Dickhudt, Patrick J. pdickhudt@usgs.gov","contributorId":5595,"corporation":false,"usgs":true,"family":"Dickhudt","given":"Patrick J.","email":"pdickhudt@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":540602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":540603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeWitt, Nancy T. 0000-0002-2419-4087 ndewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2419-4087","contributorId":4095,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","email":"ndewitt@usgs.gov","middleInitial":"T.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":540604,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70137950,"text":"ofr20141245 - 2015 - Water-level measurements in Dauphin Island, Alabama, from the 2013 Hurricane Season","interactions":[],"lastModifiedDate":"2015-02-13T15:37:37","indexId":"ofr20141245","displayToPublicDate":"2015-02-13T16:30:00","publicationYear":"2015","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":"2014-1245","title":"Water-level measurements in Dauphin Island, Alabama, from the 2013 Hurricane Season","docAbstract":"<p><span>This report describes the instrumentation, field measurements, and processing methods used by the U.S. Geological Survey to measure atmospheric pressure, water levels, and waves on Dauphin Island, Alabama, in 2013 at part of the Barrier Island Evolution Research project. Simple, inexpensive pressure sensors mounted in shallow wells were buried in the beach and left throughout the hurricane season. Additionally, an atmospheric pressure sensor was mounted on the porch of a private residence to provide a local atmospheric pressure measurement for correcting the submerged pressure records.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141245","usgsCitation":"Dickhudt, P., Sherwood, C.R., and DeWitt, N.T., 2015, Water-level measurements in Dauphin Island, Alabama, from the 2013 Hurricane Season: U.S. Geological Survey Open-File Report 2014-1245, Report: HTML Document; Report: vii, 24 p., https://doi.org/10.3133/ofr20141245.","productDescription":"Report: HTML Document; Report: vii, 24 p.","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-056459","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141245.JPG"},{"id":297969,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1245/"},{"id":297970,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1245/ofr2014-1245-title_page.html","text":"Report (HTML format)","linkFileType":{"id":5,"text":"html"}},{"id":297971,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1245/pdf/ofr2014-1245.pdf","text":"Report PDF","size":"943 kB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.13850402832031,\n              30.258029283193757\n            ],\n            [\n              -88.14828872680664,\n              30.254174055663515\n            ],\n            [\n              -88.1623649597168,\n              30.254470616999534\n            ],\n            [\n              -88.20579528808594,\n              30.252246385155885\n            ],\n            [\n              -88.20716857910156,\n              30.24824264093001\n            ],\n            [\n              -88.19910049438477,\n              30.246908023263966\n            ],\n            [\n              -88.13798904418945,\n              30.248835798518176\n            ],\n            [\n              -88.13850402832031,\n              30.258029283193757\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54df2034e4b08de9379b3a37","contributors":{"authors":[{"text":"Dickhudt, Patrick J. pdickhudt@usgs.gov","contributorId":5595,"corporation":false,"usgs":true,"family":"Dickhudt","given":"Patrick J.","email":"pdickhudt@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":540595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":540596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeWitt, Nancy T. 0000-0002-2419-4087 ndewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2419-4087","contributorId":4095,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","email":"ndewitt@usgs.gov","middleInitial":"T.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":540597,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70140265,"text":"ofr20151026 - 2015 - Evaluation of aquifer interconnection from aquifer characteristics computed by using specific capacity data within the vicinity of the Tremont Barrel  Fill site, Clark County, Ohio","interactions":[],"lastModifiedDate":"2015-02-12T16:17:16","indexId":"ofr20151026","displayToPublicDate":"2015-02-12T17:15:00","publicationYear":"2015","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":"2015-1026","title":"Evaluation of aquifer interconnection from aquifer characteristics computed by using specific capacity data within the vicinity of the Tremont Barrel  Fill site, Clark County, Ohio","docAbstract":"<p>The Tremont Barrel Fill site is immediately north of the Tremont City Landfill near Tremont City, Clark County, Ohio. The site was an unlined pit used as a repository for disposing industrial liquid wastes and sludge from 1976 through 1979. Previous investigations led the U.S. Environmental Protection Agency (USEPA) to conclude that the site poses a contamination risk to nearby residents relying on private supply wells opened to the underlying deep sand and gravel and limestone aquifers. The USEPA also concluded there is a potential risk to the residents of the nearby Tremont City; the city obtains its municipal water supply from the Mad River Valley aquifer, which is recharged by the adjacent limestone aquifer. The U.S. Geological Survey (USGS) assessed the degree of hydraulic interconnection, and thus possible contaminant pathway(s), between the two aquifers (the sand and gravel and the limestone) underlying the Barrel Fill site, with consideration for the impact of an identified interconnection between the limestone and the Mad River Valley aquifer used for municipal supply.</p>\n<p>Aquifer interconnection between the sand and gravel aquifer overlying the limestone aquifer is assessed by analysis of specific capacity data from well-construction logs for derivation of estimates of transmissivity (T) and horizontal hydraulic conductivity (K<sub>h</sub>). Data of this nature is limited in the control or knowledge about how well these data were collected and reported; therefore, the T and K<sub>h</sub>&nbsp;are estimations. Similar values of T and K<sub>h</sub>&nbsp;are used to infer the degree of aquifer interconnection based on the USEPA Hazard Ranking System, which states that aquifers are considered interconnected when the hydraulic conductivities are within two orders of magnitude.</p>\n<p>The results of the hydraulic analysis from 127 wells open to either the sand and gravel or the limestone aquifer indicate that the transmissivity of these aquifers is within one order of magnitude and horizontal hydraulic conductivity is within two orders of magnitude. As such, on the basis of the applied ranking system the two aquifers can be considered hydraulically interconnected.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151026","usgsCitation":"Gahala, A.M., 2015, Evaluation of aquifer interconnection from aquifer characteristics computed by using specific capacity data within the vicinity of the Tremont Barrel  Fill site, Clark County, Ohio: U.S. Geological Survey Open-File Report 2015-1026, 27 p., https://doi.org/10.3133/ofr20151026.","productDescription":"27 p.","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061351","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":297953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151026.jpg"},{"id":297951,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1026/"},{"id":297952,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1026/pdf/ofr2015-1026.pdf","text":"Report","size":"1.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Ohio","otherGeospatial":"Clark County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.96987915039061,\n              39.839122664473194\n            ],\n            [\n              -83.96987915039061,\n              40.00552775916049\n            ],\n            [\n              -83.6334228515625,\n              40.00552775916049\n            ],\n            [\n              -83.6334228515625,\n              39.839122664473194\n            ],\n            [\n              -83.96987915039061,\n              39.839122664473194\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54ddcea6e4b08de9379b3932","contributors":{"authors":[{"text":"Gahala, Amy M. 0000-0003-2380-2973 agahala@usgs.gov","orcid":"https://orcid.org/0000-0003-2380-2973","contributorId":4396,"corporation":false,"usgs":true,"family":"Gahala","given":"Amy","email":"agahala@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539883,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70059151,"text":"sir20135232 - 2015 - Water-level conditions in the confined aquifers of the New Jersey Coastal Plain, 2008","interactions":[],"lastModifiedDate":"2019-09-26T08:09:59","indexId":"sir20135232","displayToPublicDate":"2015-02-12T10:30:00","publicationYear":"2015","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":"2013-5232","title":"Water-level conditions in the confined aquifers of the New Jersey Coastal Plain, 2008","docAbstract":"<p>Groundwater-level altitudes in 10 confined aquifers of the New Jersey Coastal Plain were measured and evaluated to provide an overview of regional groundwater conditions during fall 2008. Water levels were measured in more than 900 wells in New Jersey, eastern Pennsylvania, and northern Delaware and potentiometric surface maps prepared for the confined Cohansey aquifer of Cape May County, the Rio Grande water-bearing zone, the Atlantic City 800-foot sand, the Piney Point, Vincentown, and the Wenonah-Mount Laurel aquifers, the Englishtown aquifer system, and the Upper, Middle, and Lower aquifers of the Potomac-Raritan-Magothy aquifer system. In 2008, the highest water-level altitudes were observed in the Vincentown aquifer (median, 78&nbsp;ft) and the lowest in the Atlantic City 800-foot sand (median, -45&nbsp;ft). Persistent, regionally extensive cones of depression were present within the potentiometric surfaces of the Englishtown aquifer system in east-central New Jersey, the Wenonah-Mount Laurel aquifer in east-central and southern New Jersey, the Upper, Middle, and Lower Potomac-Raritan-Magothy aquifers in southern New Jersey, and the Atlantic City 800-foot sand in the southeastern part of the State. Cones of depression in the potentiometric surfaces of the Upper Potomac-Raritan-Magothy and the Piney Point aquifers in east-central and southwestern New Jersey had broadened and deepened since&nbsp;2003.</p>\n<p>Declining water levels in many of New Jersey&rsquo;s confined Coastal Plain aquifers intensified during the late 1970s and early 1980s, prompting the designation of two water-supply Critical Areas by the New Jersey Department of Environmental Protection; Critical Areas&nbsp;1 and&nbsp;2 continued to be of concern. To address that concern, water-level changes were assessed in nearly 800 wells measured during the fall of 2003 and 2008, and potentiometric-surface difference maps for each aquifer were constructed and evaluated. In addition, water-level trends were calculated for 77 wells for the periods 2003&ndash;8 and 1998&ndash;2008 and for 73 wells for the period&nbsp;1978&ndash;2008.</p>\n<p>From 2003 to 2008 small to moderate water-level changes were observed in many Coastal Plain aquifers in New Jersey, but in places, groundwater levels continued to decline substantially as a result of pumping. Groundwater levels in the Atlantic City 800-foot sand were lower in 2008 than in 2003; declines were greatest near pumping centers in eastern Atlantic County. Changes were less pronounced in Cape May County where water levels were, on average, 1 to 3&nbsp;feet (ft) lower than those during the previous study (2003), except near Rio Grande where a localized cone of depression had formed as a result of increased withdrawals. Large and widespread declines occurred in the Piney Point aquifer in Cumberland County where water levels in and around the city of Bridgeton had fallen in excess of 100&nbsp;ft since 2003, and by 30&nbsp;ft to more than 60&nbsp;ft in surrounding areas. Groundwater levels in the Wenonah-Mount Laurel aquifer and Englishtown aquifer system continued to recover in east-central New Jersey; however, groundwater levels in the Wenonah-Mount Laurel aquifer throughout the southern part of the State continued to&nbsp;decline.</p>\n<p>In the Upper Potomac-Raritan-Magothy aquifer, groundwater levels were substantially lower than in 2003 in parts of northern Ocean County but were stable in the area adjacent to Raritan Bay (Critical Area&nbsp;1), and water levels continued to recover in southern New Jersey. In the Middle Potomac-Raritan-Magothy aquifer, water levels rose near Raritan Bay in Middlesex County; however, modest declines were recorded in interior areas of Monmouth and Ocean Counties. Groundwater levels in both the Middle and Lower Potomac-Raritan-Magothy aquifers were stable or rising within the regional cone of depression in Critical Area&nbsp;2; beyond the critical area in southern New Jersey, however, water levels were slightly lower than in&nbsp;2003.</p>\n<p>Analyses of long-term water-level changes indicate that from 1978 to 2008 downward trends occurred at 20&nbsp;wells (27&nbsp;percent), upward trends at 27&nbsp;wells (37&nbsp;percent), and trends at 26&nbsp;wells (36&nbsp;percent) were insubstantial. Sustained, long-term declines were observed most often at wells within the Atlantic City 800-foot sand and at wells in the Piney Point aquifer in southern New Jersey, in which rates of decline were as great as 1.4&nbsp;feet/year. Upward water-level trends were observed frequently at wells screened in the Englishtown aquifer system and the Wenonah-Mount Laurel aquifer in Critical Area&nbsp;1 in east-central New Jersey, and in the Potomac-Raritan-Magothy aquifer system in parts of Critical Area 1 and throughout most of Critical Area&nbsp;2 in southern New Jersey. Annual rates of upward change were as great as 3.9 and 5.6&nbsp;ft/yr in the Englishtown aquifer system and Wenonah-Mount Laurel aquifer, respectively. Among the units of the Potomac-Raritan-Magothy aquifer system, annual rates of recovery were greatest in the Lower&nbsp;aquifer.</p>\n<p>From 1998 to 2008, downward water-level trends were observed at 22&nbsp;wells (29&nbsp;percent), upward trends were observed at 21&nbsp;wells (27&nbsp;percent), and insubstantial trends at 34&nbsp;wells (44&nbsp;percent). Downward trends were detected most often at wells open to the Piney Point aquifer and the Atlantic City 800-foot sand. Upward water-level trends were most frequent in wells open to the Englishtown aquifer system in Critical Area&nbsp;1 and in wells within the Potomac-Raritan-Magothy aquifer system in southern New&nbsp;Jersey.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135232","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"DePaul, V.T., and Rosman, R., 2015, Water-level conditions in the confined aquifers of the New Jersey Coastal Plain, 2008: U.S. Geological Survey Scientific Investigations Report 2013-5232, Report: vii, 107 p.; 9 Plates: 34 inches x 44 inches or smaller, https://doi.org/10.3133/sir20135232.","productDescription":"Report: vii, 107 p.; 9 Plates: 34 inches x 44 inches or smaller","numberOfPages":"118","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-049629","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":297942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135232.jpg"},{"id":297934,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate2.pdf","text":"Plate 2","size":"4.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 2","linkHelpText":"Potentiometric surface of the Atlantic City 800-foot sand, 2008"},{"id":297932,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297931,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5232/"},{"id":297933,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate1.pdf","text":"Plate 1","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 1","linkHelpText":"Potentiometric surface of the Cohansey aquifer and the Rio Grande water-bearing zone, 2008"},{"id":297936,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate4.pdf","text":"Plate 4","size":"3.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 4","linkHelpText":"Potentiometric surface of the Vincentown aquifer, 2008"},{"id":297935,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate3.pdf","text":"Plate 3","size":"4.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 3","linkHelpText":"Potentiometric surface of the Piney Point aquifer, 2008"},{"id":297937,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate5.pdf","text":"Plate 5","size":"4.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 5","linkHelpText":"Potentiometric surface of the Wenonah-Mount Laurel aquifer, 2008"},{"id":297938,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate6.pdf","text":"Plate 6","size":"4.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 6","linkHelpText":"Potentiometric surface of the Englishtown aquifer system, 2008"},{"id":297939,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate7.pdf","text":"Plate 7","size":"4.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 7","linkHelpText":"Potentiometric surface of the Upper Potomac-Raritan-Magothy aquifer, 2008"},{"id":297940,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate8.pdf","text":"Plate 8","size":"4.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 8","linkHelpText":"Potentiometric surface of the Middle and undifferentiated Potomac-Raritan-Magothy aquifer, 2008"},{"id":297941,"rank":11,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate9.pdf","text":"Plate 9","size":"3.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 9","linkHelpText":"Potentiometric surface of the Lower Potomac-Raritan-Magothy aquifer, 2008"}],"country":"United States","state":"New Jersey","otherGeospatial":"Coastal Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.65185546874999,\n              38.950865400919994\n            ],\n            [\n              -75.65185546874999,\n              40.44694705960048\n            ],\n            [\n              -73.916015625,\n              40.44694705960048\n            ],\n            [\n              -73.916015625,\n              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Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518432,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70138590,"text":"fs20153004 - 2015 - Effects of water-resource development on Yellowstone River streamflow, 1928-2002","interactions":[],"lastModifiedDate":"2015-02-11T10:42:27","indexId":"fs20153004","displayToPublicDate":"2015-02-11T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3004","title":"Effects of water-resource development on Yellowstone River streamflow, 1928-2002","docAbstract":"<p><span>Major floods in 1996 and 1997 intensified public concern about the effects of human activities on the Yellowstone River in Montana. In 1999, the Yellowstone River Conservation District Council, whose members are primarily representatives from the conservation districts bordering the main stem of the Yellowstone River, was formed to promote wise use and conservation of the Yellowstone River&rsquo;s natural resources. The Yellowstone River Conservation District Council is working with the U.S. Army Corps of Engineers to understand the cumulative hydrologic effects of water-resource development in the Yellowstone River Basin. The U.S. Army Corps of Engineers, Yellowstone River Conservation District Council, and U.S. Geological Survey began cooperatively studying the Yellowstone River in 2010, publishing four reports describing streamflow information for selected sites in the Yellowstone River Basin, 1928&ndash;2002. Detailed information about the methods used, as well as summary streamflow statistics, are available in the four reports. The purpose of this fact sheet is to highlight findings from the published reports and describe the effects of water use and structures, primarily dams, on the Yellowstone River streamflow.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153004","collaboration":"Prepared in cooperation with the Yellowstone River Conservation District Council and the U.S. Army Corps of Engineers","usgsCitation":"Eddy-Miller, C., and Chase, K.J., 2015, Effects of water-resource development on Yellowstone River streamflow, 1928-2002: U.S. Geological Survey Fact Sheet 2015-3004, 6 p., https://doi.org/10.3133/fs20153004.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1928-01-01","temporalEnd":"2002-12-31","ipdsId":"IP-059463","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":297914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153004.jpg"},{"id":297913,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3004/pdf/fs2015-3004.pdf","text":"Report","size":"1.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297906,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3004/"}],"projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Montana","otherGeospatial":"Yellowstone River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.03881835937499,\n              42.374778361114195\n            ],\n            [\n              -111.03881835937499,\n              47.938426929481054\n            ],\n            [\n              -103.216552734375,\n              47.938426929481054\n            ],\n            [\n              -103.216552734375,\n              42.374778361114195\n            ],\n            [\n              -111.03881835937499,\n              42.374778361114195\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a6fe4b08de9379b3061","contributors":{"authors":[{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":540411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":540442,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70140627,"text":"70140627 - 2015 - Repeated landscape-scale treatments following fire suppress a non-native annual grass and promote recovery of native perennial vegetation","interactions":[],"lastModifiedDate":"2015-05-18T11:07:49","indexId":"70140627","displayToPublicDate":"2015-02-10T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Repeated landscape-scale treatments following fire suppress a non-native annual grass and promote recovery of native perennial vegetation","docAbstract":"<p><span>Invasive non-native species pose a large threat to restoration efforts following large-scale disturbances.&nbsp;</span><i>Bromus tectorum</i><span>&nbsp;(cheatgrass) is a non-native annual grass in the western U.S. that both spreads quickly following fire and accelerates the fire cycle. Herbicide and seeding applications are common restoration practices to break the positive fire-invasion feedback loop and recover native perennial species, but their interactive effects have infrequently been tested at the landscape-scale and repeated in time to encourage long-lasting effects. We determined the efficacy of repeated post-fire application of the herbicide imazapic and seeding treatments to suppress</span><i>Bromus</i><span>&nbsp;abundance and promote perennial vegetation recovery. We found that the selective herbicide reduced&nbsp;</span><i>Bromus</i><span>&nbsp;cover by ~30&nbsp;% and density by &gt;50&nbsp;% across our study sites, but had a strong initial negative effect on seeded species. The most effective treatment to promote perennial seeded species cover was seeding them alone followed by herbicide application 3&nbsp;years later when the seeded species had established. The efficacy of the treatments was strongly influenced by water availability, as precipitation positively affected the density and cover of&nbsp;</span><i>Bromus</i><span>; soil texture and aspect secondarily influenced&nbsp;</span><i>Bromus</i><span>&nbsp;abundance and seeded species cover by modifying water retention in this semi-arid region. Warmer temperatures positively affected the non-native annual grass in the cool-season, but negatively affected seeded perennial species in the warm-season, suggesting an important role of seasonality in a region projected to experience large increases in warming in the future. Our results highlight the importance of environmental interactions and repeated treatments in influencing restoration outcomes at the landscape-scale.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-015-0847-x","usgsCitation":"Munson, S.M., Long, A.L., Decker, C.E., Johnson, K.A., Walsh, K., and Miller, M.E., 2015, Repeated landscape-scale treatments following fire suppress a non-native annual grass and promote recovery of native perennial vegetation: Biological Invasions, v. 17, no. 6, p. 1915-1926, https://doi.org/10.1007/s10530-015-0847-x.","productDescription":"12 p.","startPage":"1915","endPage":"1926","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058692","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":297901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Zion National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.26629638671875,\n              37.084762325442966\n            ],\n            [\n              -113.26629638671875,\n              37.54893261064109\n            ],\n            [\n              -112.78976440429688,\n              37.54893261064109\n            ],\n            [\n              -112.78976440429688,\n              37.084762325442966\n            ],\n            [\n              -113.26629638671875,\n              37.084762325442966\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-05","publicationStatus":"PW","scienceBaseUri":"54dd2aa9e4b08de9379b3170","contributors":{"authors":[{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":540261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, A. Lexine along@usgs.gov","contributorId":139181,"corporation":false,"usgs":true,"family":"Long","given":"A.","email":"along@usgs.gov","middleInitial":"Lexine","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":540262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Decker, Cheryl E.","contributorId":86051,"corporation":false,"usgs":false,"family":"Decker","given":"Cheryl","email":"","middleInitial":"E.","affiliations":[{"id":6959,"text":"National Park Service Southeast Utah Group","active":true,"usgs":false}],"preferred":false,"id":540263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Katie A.","contributorId":139182,"corporation":false,"usgs":false,"family":"Johnson","given":"Katie","email":"","middleInitial":"A.","affiliations":[{"id":12684,"text":"National Park Service, Lassen Volcanic National Park, Mineral, CA, 96063, USA","active":true,"usgs":false}],"preferred":false,"id":540264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Kathleen","contributorId":139183,"corporation":false,"usgs":false,"family":"Walsh","given":"Kathleen","email":"","affiliations":[{"id":12685,"text":"National Park Service, Zion National Park, Springdale, UT, 84767, USA","active":true,"usgs":false}],"preferred":false,"id":540265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Mark E.","contributorId":91580,"corporation":false,"usgs":false,"family":"Miller","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":6959,"text":"National Park Service Southeast Utah Group","active":true,"usgs":false}],"preferred":false,"id":540266,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70142047,"text":"70142047 - 2015 - Model-based interpretation of sediment concentration and vertical flux measurements in a shallow estuarine environment","interactions":[],"lastModifiedDate":"2015-03-09T11:10:42","indexId":"70142047","displayToPublicDate":"2015-02-10T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Model-based interpretation of sediment concentration and vertical flux measurements in a shallow estuarine environment","docAbstract":"<p><span>A one-dimensional numerical model describing tidally varying vertical mixing and settling was used to interpret sediment concentrations and vertical fluxes observed in the shoals of South San Francisco Bay by two acoustic Doppler velocimeters (ADVs) at elevations of 0.36 m and 0.72 m above bed. Measured sediment concentrations changed by up to 100 g m</span><sup>&minus;3</sup><span>&nbsp;over the semidiurnal tidal cycle. These dynamics were dominated by local resuspension and settling. Multiple particle class models suggested the existence of a class with fast settling velocities (</span><i>w</i><sub>s</sub><span>&nbsp;of 9.0 &times; 10</span><sup>&minus;4</sup><span>&nbsp;m s</span><sup>&minus;1</sup><span>&nbsp;in spring and 5.8 &times; 10</span><sup>&minus;4</sup><span>&nbsp;m s</span><sup>&minus;1</sup><span>&nbsp;in fall) and a slowly settling particle fraction (</span><i>w</i><sub>s</sub><span>&nbsp;of &lt;1 &times; 10</span><sup>&minus;7</sup><span>&nbsp;m s</span><sup>&minus;1</sup><span>&nbsp;in spring and 1.4 &times; 10</span><sup>&minus;5</sup><span>&nbsp;m s</span><sup>&minus;1</sup><span>&nbsp;in fall). Modeled concentrations of slowly settling particles at 0.36 m were as high as 20 g m</span><sup>&minus;3</sup><span>&nbsp;during fall and varied with the spring-neap cycle while fine sediment concentrations in spring were constant around 5 g m</span><sup>&minus;3</sup><span>. Analysis of in situ water column floc size distributions suggested that floc properties in the lower part of the water column were most likely governed by particle-size distribution on the bed and not by coagulation, validating our multiple particle size approach. A comparison of different sediment bed models with respect to model performance, sensitivity, and identifiability suggested that the use of a sediment erosion model linear in bottom shear stress&nbsp;</span><i>&tau;</i><sub>b</sub><span>&nbsp;(</span><i>E = M</i><span>&nbsp;(</span><i>&tau;</i><sub>b</sub><span>&nbsp;</span><i>&minus; &tau;</i><sub>c</sub><span>)) was the most appropriate choice to describe the field observations when the critical shear stress&nbsp;</span><i>&tau;</i><sub>c</sub><span>&nbsp;and the proportionality factor&nbsp;</span><i>M</i><span>&nbsp;were kept constant.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/lno.10047","usgsCitation":"Brand, A., Lacy, J.R., Gladding, S., Holleman, R., and Stacey, M., 2015, Model-based interpretation of sediment concentration and vertical flux measurements in a shallow estuarine environment: Limnology and Oceanography, v. 60, no. 2, p. 463-481, https://doi.org/10.1002/lno.10047.","productDescription":"19 p.","startPage":"463","endPage":"481","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030148","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472281,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.dora.lib4ri.ch/eawag/islandora/object/eawag%3A8063","text":"External Repository"},{"id":298178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.40554809570311,\n              37.42307124980106\n            ],\n            [\n              -122.40554809570311,\n              37.69849090879089\n            ],\n            [\n              -121.92008972167969,\n              37.69849090879089\n            ],\n            [\n              -121.92008972167969,\n              37.42307124980106\n            ],\n            [\n              -122.40554809570311,\n              37.42307124980106\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"60","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-10","publicationStatus":"PW","scienceBaseUri":"54f19544e4b02419550ceae8","contributors":{"authors":[{"text":"Brand, Andreas","contributorId":32415,"corporation":false,"usgs":false,"family":"Brand","given":"Andreas","email":"","affiliations":[{"id":12775,"text":"Department of Surface Waters – Research and Management, Swiss Federal Institute of Aquatic Science and Technology (Eawag), Kastanienbaum, Switzerland","active":true,"usgs":false}],"preferred":false,"id":541568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lacy, Jessica R. 0000-0002-2797-6172 jlacy@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":3158,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"jlacy@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":541567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gladding, Steve","contributorId":54481,"corporation":false,"usgs":false,"family":"Gladding","given":"Steve","email":"","affiliations":[{"id":12776,"text":"Department of Civil and Environmental Engineering,  University of California, Berkeley, California, USA","active":true,"usgs":false}],"preferred":false,"id":541571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holleman, Rusty","contributorId":139500,"corporation":false,"usgs":false,"family":"Holleman","given":"Rusty","affiliations":[{"id":12776,"text":"Department of Civil and Environmental Engineering,  University of California, Berkeley, California, USA","active":true,"usgs":false}],"preferred":false,"id":541570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stacey, Mark T.","contributorId":94531,"corporation":false,"usgs":false,"family":"Stacey","given":"Mark T.","affiliations":[{"id":12776,"text":"Department of Civil and Environmental Engineering,  University of California, Berkeley, California, USA","active":true,"usgs":false}],"preferred":false,"id":541569,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70099102,"text":"sir20145007 - 2015 - Geomorphic, flood, and groundwater-flow characteristics of Bayfield Peninsula streams, Wisconsin, and implications for brook-trout habitat","interactions":[],"lastModifiedDate":"2015-02-09T16:17:27","indexId":"sir20145007","displayToPublicDate":"2015-02-09T16:15:00","publicationYear":"2015","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":"2014-5007","title":"Geomorphic, flood, and groundwater-flow characteristics of Bayfield Peninsula streams, Wisconsin, and implications for brook-trout habitat","docAbstract":"<p>In 2002&ndash;03, the U.S. Geological Survey conducted a study of the geomorphic, flood, and groundwater-flow characteristics of five Bayfield Peninsula streams, Wisconsin (Cranberry River, Bark River, Raspberry River, Sioux River, and Whittlesey Creek) to determine the physical limitations for brook-trout habitat. The goals of the study were threefold: (1) to describe geomorphic characteristics and processes, (2) to determine how land-cover characteristics affect flood peaks, and (3) to determine how regional groundwater flow patterns affect base flow.</p>\n<p>The geomorphic characterization consisted of analyses of historical aerial photographs and General Land Office Survey notes, observations from helicopter video footage, surveys of valley cross sections, and coring. Sources of sediment were identified from the helicopter video and field surveys, and past erosion-control techniques were evaluated. Geomorphic processes, such as runoff sediment erosion, transport, and deposition, are driven by channel location within the drainage network, texture of glacial deposits, and proximity to postglacial lake shorelines; these processes have historically increased because of decreases in upland forest cover and channel roughness. Sources of sediment for all studied streams mainly came from bank, terrace, or bluff erosion along main stem reaches and along feeder tributaries that bisect main-stem entrenched valley sides. Bluff, terrace, and bank erosion were the major sources of sediment to Whittlesey Creek and the Sioux River. No active bluff erosion was observed on the Cranberry River or the Bark River but anecdotal information suggests that landslides occasionally happen on the Cranberry River. For the Bark River, sources of sediment were somewhat evenly divided among road crossings (bridges, culverts, and unimproved forest lanes), terrace erosion, bank erosion, and incision along upper main stems and feeder channels along valley sides. Evaluation of past erosion-control techniques indicated that bluffs were stabilized by a combination of artificial hardening and bioengineering of the bluff base and reducing mass wasting of the tops of the bluffs.</p>\n<p>Flood hydrographs for the Cranberry River were simulated for four land-cover scenarios&mdash;late 20th century (1992&ndash;93), presettlement (before 1870), peak agriculture (1928), and developed (25 percent urban). Results were compared to previous simulations of flood peaks for Whittlesey Creek and for North Fish Creek (southern adjacent basin to Whittlesey Creek). Even though most uplands are presently forested, flood peaks simulated for 1992&ndash;93 were 1.5 to 2 times larger than presettlement flood peaks. The increased flood peaks caused (1) increased incision along upper main stems and tributaries that bisect entrenched valley sides, (2) bluff and terrace erosion along reaches with entrenched valleys, (3) overbank deposition and bar formation in middle and lower main stems, and (4) aggradation in mouth areas.</p>\n<p>A base-flow survey was conducted and a groundwater-flow model was developed for the Bayfield Peninsula to delineate groundwater contributing areas. A deep aquifer system, which includes thick deposits of sand and the upper part of the bedrock, is recharged through the permeable sands in the center of the peninsula. Base flow is unevenly distributed among the Bayfield streams and depends on the amount of channel incision and the proximity of the channels to the recharge area and coarse outwash deposits. Groundwater contributing areas for the five streams do not coincide with surface-water-contributing areas. About 89 percent of total recharge to the deep aquifer system discharges to Bayfield streams; the remaining 11 percent directly discharges to Lake Superior. Historical land-cover changes have had negligible effects on groundwater-flow from the deep aquifer system.</p>\n<p>Available brook-trout habitat is dependent on the locations of groundwater upwellings, the sizes of flood peaks, and sediment loads. Management practices that focus on reducing or slowing runoff from upland areas and increasing channel roughness have potential to reduce flood peaks, erosion, and sedimentation and improve brook-trout habitat in all Bayfield Peninsula streams.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145007","collaboration":"In cooperation with the Wisconsin Department of Natural Resources","usgsCitation":"Fitzpatrick, F.A., Peppler, M.C., Saad, D.A., Pratt, D.M., and Lenz, B.N., 2015, Geomorphic, flood, and groundwater-flow characteristics of Bayfield Peninsula streams, Wisconsin, and implications for brook-trout habitat: U.S. Geological Survey Scientific Investigations Report 2014-5007, vii, 79 p., https://doi.org/10.3133/sir20145007.","productDescription":"vii, 79 p.","numberOfPages":"92","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051103","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":297884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145007.jpg"},{"id":297883,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5007/pdf/sir2014-5007.pdf","text":"Report","size":"23.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297882,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5007/"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Bayfield Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.29638671875,\n              46.30140615437332\n            ],\n            [\n              -91.29638671875,\n              47.07012182383309\n            ],\n            [\n              -89.93408203124999,\n              47.07012182383309\n            ],\n            [\n              -89.93408203124999,\n              46.30140615437332\n            ],\n            [\n              -91.29638671875,\n              46.30140615437332\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a82e4b08de9379b30b3","contributors":{"authors":[{"text":"Fitzpatrick, Faith A. fafitzpa@usgs.gov","contributorId":1182,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"fafitzpa@usgs.gov","middleInitial":"A.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":518619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peppler, Marie C. 0000-0002-1120-9673 mpeppler@usgs.gov","orcid":"https://orcid.org/0000-0002-1120-9673","contributorId":825,"corporation":false,"usgs":true,"family":"Peppler","given":"Marie","email":"mpeppler@usgs.gov","middleInitial":"C.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":518618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pratt, Dennis M.","contributorId":7673,"corporation":false,"usgs":true,"family":"Pratt","given":"Dennis","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":518620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lenz, Bernard N.","contributorId":85170,"corporation":false,"usgs":true,"family":"Lenz","given":"Bernard","email":"","middleInitial":"N.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":518621,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70140587,"text":"fs20143098 - 2015 - Climate change: evaluating your local and regional water resources","interactions":[],"lastModifiedDate":"2015-02-09T14:43:33","indexId":"fs20143098","displayToPublicDate":"2015-02-09T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3098","title":"Climate change: evaluating your local and regional water resources","docAbstract":"<p>The BCM is a fine-scale hydrologic model that uses detailed maps of soils, geology, topography, and transient monthly or daily maps of potential evapotranspiration, air temperature, and precipitation to generate maps of recharge, runoff, snow pack, actual evapotranspiration, and climatic water deficit. With these comprehensive environmental inputs and experienced scientific analysis, the BCM provides resource managers with important hydrologic and ecologic understanding of a landscape or basin at hillslope to regional scales. The model is calibrated using historical climate and streamflow data over the range of geologic materials specific to an area. Once calibrated, the model is used to translate climate-change data into hydrologic responses for a defined landscape, to provide managers an understanding of potential ecological risks and threats to water supplies and managed hydrologic systems. Although limited to estimates of unimpaired hydrologic conditions, estimates of impaired conditions, such as agricultural demand, diversions, or reservoir outflows can be incorporated into the calibration of the model to expand its utility. Additionally, the model can be linked to other models, such as groundwater-flow models (that is, MODFLOW) or the integrated hydrologic model (MF-FMP), to provide information about subsurface hydrologic processes. The model can be applied at a relatively small scale, but also can be applied to large-scale national and international river basins.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143098","usgsCitation":"Flint, L.E., Flint, A.L., and Thorne, J.H., 2015, Climate change: evaluating your local and regional water resources: U.S. Geological Survey Fact Sheet 2014-3098, 6 p., https://doi.org/10.3133/fs20143098.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-045835","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":297878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143098.JPG"},{"id":297877,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3098/pdf/fs2014-3098.pdf","text":"Report","size":"4.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297875,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3098/"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5ee4b08de9379b301c","contributors":{"authors":[{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":540208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, James H.","contributorId":139144,"corporation":false,"usgs":false,"family":"Thorne","given":"James","email":"","middleInitial":"H.","affiliations":[{"id":12659,"text":"U C Davis","active":true,"usgs":false}],"preferred":false,"id":540210,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70143183,"text":"ds69JJ - 2015 - Map of assessed continuous (unconventional) oil resources in the United States, 2014","interactions":[],"lastModifiedDate":"2015-05-01T11:05:45","indexId":"ds69JJ","displayToPublicDate":"2015-02-09T09:00:00","publicationYear":"2015","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":"69","chapter":"JJ","title":"Map of assessed continuous (unconventional) oil resources in the United States, 2014","docAbstract":"<p><span>The U.S. Geological Survey (USGS) conducts quantitative assessments of potential oil and gas resources of the onshore United States and associated coastal State waters. Since 2000, the USGS has completed assessments of continuous (unconventional) resources in the United States based on geologic studies and analysis of well-production data and has compiled digital maps of the assessment units classified into four categories: shale gas, tight gas, coalbed gas, and shale oil or tight oil (continuous oil). This is the fourth digital map product in a series of USGS unconventional oil and gas resource maps; its focus being shale-oil or tight-oil (continuous-oil) assessments. The map plate included in this report can be printed in hardcopy form or downloaded in a Geographic Information System (GIS) data package, which includes an ArcGIS ArcMap document (.mxd), geodatabase (.gdb), and a published map file (.pmf). Supporting geologic studies of total petroleum systems and assessment units, as well as studies of the methodology used in the assessment of continuous-oil resources in the United States, are listed with hyperlinks in table 1. 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H. lbiewick@usgs.gov","contributorId":1086,"corporation":false,"usgs":true,"family":"Biewick","given":"Laura","email":"lbiewick@usgs.gov","middleInitial":"R. H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":542499,"contributorType":{"id":3,"text":"Compilers"},"rank":1}],"authors":[{"text":"U.S. Geological Survey National Assessment of Oil and Gas Resources Team","contributorId":128233,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey National Assessment of Oil and Gas Resources Team","id":542498,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70126012,"text":"ds879 - 2015 - Water- and air-quality and surficial bed-sediment monitoring of the Sweetwater Reservoir watershed, San Diego County, California, 2003-09","interactions":[],"lastModifiedDate":"2015-02-20T14:37:22","indexId":"ds879","displayToPublicDate":"2015-02-06T15:15:00","publicationYear":"2015","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":"879","title":"Water- and air-quality and surficial bed-sediment monitoring of the Sweetwater Reservoir watershed, San Diego County, California, 2003-09","docAbstract":"<p>In 1998, the U.S. Geological Survey, in cooperation with the Sweetwater Authority, began a study to assess the overall health of the Sweetwater watershed in San Diego County, California. This study was designed to provide a data set that could be used to evaluate potential effects from the construction and operation of State Route 125 within the broader context of the water quality and air quality in the watershed. The study included regular sampling of water, air, and surficial bed sediment at Sweetwater Reservoir (SWR) for chemical constituents, including volatile organic compounds (VOCs), base-neutral and acid- extractable organic compounds (BNAs) that include polycyclic aromatic hydrocarbons (PAHs), pesticides, and metals. Additionally, water samples were collected for anthropogenic organic indicator compounds in and around SWR. Background water samples were collected at Loveland Reservoir for VOCs, BNAs, pesticides, and metals. Surficial bed-sediment samples were collected for PAHs, organochlorine pesticides, and metals at Sweetwater and Loveland Reservoirs.</p>\n<p>To monitor changes in contaminant concentration in water and air at SWR during the construction and operation of State Route 125, this study was divided into three phases. Phase One sampling (September 1998 to September 2004) was designed to establish baseline conditions for target compounds in terms of detection frequency and concentration in air and water. Phase Two (October 2004 to September 2007) continued sampling at selected monitoring sites during construction of State Route 125 to assess any effect from the construction process and the use of heavy equipment to build the roadway. Phase Three (October 2007 to August 2009) continued sampling for 2 years after the opening of State Route 125 to assess the potential changes in water quality related to vehicle emissions from the roadway alignment. Surficial bed-sediment samples were collected three times during the study&mdash;at the beginning of the study, at the start of Phase Two, and at the end of the study.</p>\n<p>This report describes the study design and the sampling and analytical methods and presents data from water, air, and surficial bed-sediment samples collected from the sixth to eleventh years of the study (October 2003&ndash;August 2009), spanning the last year of Phase one and all of Phases Two and Three. Data collected during the first 5 years of sampling have been previously published.</p>\n<p>Three types of quality-control samples were used in this study&mdash;matrix spikes, blanks, and replicates. Matrix-spike data are considered to be adequate if the recovery concentration is within 30 percent of the matrix concentration. Replicate data are considered to be adequate if the replicate sample concentration is within 30 percent of the environmental sample concentration. Additionally, surrogate compounds were added to most samples to monitor sample-specific performance of the analytical method.</p>\n<p>Most VOC matrix-spike recovery data associated with water samples are within acceptable criteria, but three VOCs had recoveries below the acceptable criteria; these compounds may not have been detected in water samples if they were present at low concentrations. Data for blanks associated with water samples for VOCs and metals showed no detections above their laboratory reporting levels. Most replicate data are within acceptable criteria. Quality-control data for VOC air samples resulted in flagging several reported concentrations for acetone, benzene, ethenylbenzene, and naphthalene because they may be biased high. Acetone, benzene, and toluene were detected at low concentrations in almost every VOC air blank. Some PAH and pesticide concentrations in air samples were designated as estimated because of method performance limitations. PAHs in surficial bed sediment had 83 percent of surrogates below the acceptable criteria. No matrix-spike data for metals in surficial bed sediment were outside the acceptable criteria; only beryllium had a replicate comparison outside the acceptable criteria.</p>\n<p>Sampling results show concentrations of the gasoline oxygenate methyl&nbsp;<i>tert</i>-butyl ether in water and air samples declined after it was phased out by the State of California in January 2004. The largest concentrations of gasoline hydrocarbons benzene and toluene in water were detected at or near the surface of the SWR. Isophorone and phenol were the two most frequently detected BNA compounds in water. Diuron, prometon, and simazine were the most frequently detected pesticide compounds in water. Concentrations of benzene and toluene in air samples were highest during the cooler months and had a consistent seasonal pattern over time. Ten PAH compounds were detected frequently in air samples. Twelve pesticide compounds were also detected in air samples. Surficial bed-sediment samples were analyzed for 53 PAHs; 22 of the compounds had one or more detections. Surficial bed-sediment samples were analyzed for 22 organic compounds; only 6 compounds had one or more detections. Surficial bed-sediment samples were analyzed for 37 metals.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds879","collaboration":"Prepared in cooperation with the Sweetwater Authority","usgsCitation":"Mendez, G.O., Majewski, M.S., Foreman, W., and Morita, A.Y., 2015, Water- and air-quality and surficial bed-sediment monitoring of the Sweetwater Reservoir watershed, San Diego County, California, 2003-09: U.S. Geological Survey Data Series 879, Report: xi, 226 p.; 5 Tables, https://doi.org/10.3133/ds879.","productDescription":"Report: xi, 226 p.; 5 Tables","numberOfPages":"242","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2003-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-002295","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":297815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds879.jpg"},{"id":297808,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0879/"},{"id":297809,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0879/pdf/ds879.pdf","size":"6.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297810,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0879/downloads/ds879_table4b_voc.xls","text":"Table 4B","size":"174 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":297811,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0879/downloads/ds879_table5b_bna.xls","text":"Table 5B","size":"82 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":297812,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0879/downloads/ds879_table10b_avoc.xls","text":"Table 10B","size":"240 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":297813,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0879/downloads/ds879_table11b_pah.xls","text":"Table 11B","size":"313 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":297814,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0879/downloads/ds879_table13_airtm.xls","text":"Table 13","size":"124 kB","linkFileType":{"id":3,"text":"xlsx"}}],"scale":"100000","projection":"Universal Transverse Mercator projection","country":"United States","state":"California","county":"San Diego County","otherGeospatial":"Sweetwater Reservoir watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.1142578125,\n              32.58963484306727\n            ],\n            [\n              -117.1142578125,\n              32.99945000822839\n            ],\n            [\n              -116.46606445312499,\n              32.99945000822839\n            ],\n            [\n              -116.46606445312499,\n              32.58963484306727\n            ],\n            [\n              -117.1142578125,\n              32.58963484306727\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2acde4b08de9379b3214","contributors":{"authors":[{"text":"Mendez, Gregory O. 0000-0002-9955-3726 gomendez@usgs.gov","orcid":"https://orcid.org/0000-0002-9955-3726","contributorId":1489,"corporation":false,"usgs":true,"family":"Mendez","given":"Gregory","email":"gomendez@usgs.gov","middleInitial":"O.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Majewski, Michael S. majewski@usgs.gov","contributorId":440,"corporation":false,"usgs":true,"family":"Majewski","given":"Michael","email":"majewski@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":540014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morita, Andrew Y. 0000-0002-8120-996X amorita@usgs.gov","orcid":"https://orcid.org/0000-0002-8120-996X","contributorId":1487,"corporation":false,"usgs":true,"family":"Morita","given":"Andrew","email":"amorita@usgs.gov","middleInitial":"Y.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540015,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70134473,"text":"sir20145220 - 2015 - Estimation of unaltered daily mean streamflow at ungaged streams of New York, excluding Long Island, water years 1961-2010","interactions":[],"lastModifiedDate":"2015-02-06T12:59:44","indexId":"sir20145220","displayToPublicDate":"2015-02-06T13:45:00","publicationYear":"2015","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":"2014-5220","title":"Estimation of unaltered daily mean streamflow at ungaged streams of New York, excluding Long Island, water years 1961-2010","docAbstract":"<p>The lakes, rivers, and streams of New York State provide an essential water resource for the State. The information provided by time series hydrologic data is essential to understanding ways to promote healthy instream ecology and to strengthen the scientific basis for sound water management decision making in New York. The U.S. Geological Survey, in cooperation with The Nature Conservancy and the New York State Energy Research and Development Authority, has developed the New York Streamflow Estimation Tool to estimate a daily mean hydrograph for the period from October 1, 1960, to September 30, 2010, at ungaged locations across the State. The New York Streamflow Estimation Tool produces a complete estimated daily mean time series from which daily flow statistics can be estimated. In addition, the New York Streamflow Estimation Tool provides a means for quantitative flow assessments at ungaged locations that can be used to address the objectives of the Clean Water Act&mdash;to restore and maintain the chemical, physical, and biological integrity of the Nation&rsquo;s waters.</p>\n<p>The New York Streamflow Estimation Tool uses data from the U.S. Geological Survey streamflow network for selected streamgages in New York (excluding Long Island) and surrounding States with shared hydrologic boundaries, and physical and climate basin characteristics to estimate the natural unaltered streamflow at ungaged stream locations. The unaltered streamflow is representative of flows that are minimally altered by regulation, diversion, or mining, and other anthropogenic activities. With the streamflow network data, flow-duration exceedance probability equations were developed to estimate unaltered streamflow exceedance probabilities at an ungaged location using a methodology that equates streamflow as a percentile from a flow-duration curve for a particular day at a hydrologically similar reference streamgage with streamflow as a percentile from the flow-duration curve for the same day at an ungaged location. The reference streamgage is selected using map correlation, a geostatistical method in which variogram models are developed that correlate streamflow at one streamgage with streamflows at all other locations in the study area. Regression equations used to predict 17 flow-duration exceedance probabilities were developed to estimate the flow-duration curves at ungaged locations for New York using geographic information system-derived basin characteristics.</p>\n<p>A graphical user interface, with an integrated spreadsheet summary report, has been developed to estimate and display the daily mean streamflows and statistics and to evaluate different water management or water withdrawal scenarios with the estimated monthly data. This package of regression equations, U.S. Geological Survey streamgage data, and spreadsheet application produces an interactive tool to estimate an unaltered daily streamflow hydrograph and streamflow statistics at ungaged sites in New York. Among other uses, the New York Streamflow Estimation Tool can assist water managers with permitting water withdrawals, implementing habitat protection, estimating contaminant loads, or determining the potential affect from chemical spills.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145220","collaboration":"Prepared in cooperation with The Nature Conservancy and the New York State Energy Research and Development Authority","usgsCitation":"Gazoorian, C.L., 2015, Estimation of unaltered daily mean streamflow at ungaged streams of New York, excluding Long Island, water years 1961-2010: U.S. Geological Survey Scientific Investigations Report 2014-5220, Report: viii, 29 p.; Readme; 5 Appendixes; NYSET application, https://doi.org/10.3133/sir20145220.","productDescription":"Report: viii, 29 p.; Readme; 5 Appendixes; NYSET application","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1960-10-01","temporalEnd":"2010-09-30","ipdsId":"IP-055442","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":297799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145220.jpg"},{"id":297792,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5220/"},{"id":297793,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5220/pdf/sir2014-5220.pdf"},{"id":297794,"rank":3,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2014/5220/attachments/sir2014-5220_readme.pdf","text":"Readme Appendix 1-5","size":"58 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":297795,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5220/attachments/sir2014-5220_app1-4.pdf","text":"Appendix 1-4 PDF","size":"308 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":297796,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5220/attachments/sir2014-5220_app1-4.xlsx","text":"Appendix 1-4 XLS","size":"75 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":297797,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5220/attachments/SIR2014-5220_app5.pdf","text":"Appendix 5","size":"696 kB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"User’s Guide for the New York Streamflow Estimation Tool (NYSET) version 1.0"},{"id":297798,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://ny.water.usgs.gov/projects/nyset/","text":"NYSET application","linkFileType":{"id":5,"text":"html"}}],"scale":"200000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"New York","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.771728515625,\n              42.27730877423709\n            ],\n            [\n              -79.7607421875,\n              42.00032514831621\n            ],\n            [\n              -75.35522460937499,\n              42.00032514831621\n            ],\n            [\n              -75.003662109375,\n              41.46742831254425\n            ],\n            [\n              -73.773193359375,\n              40.863679665481676\n            ],\n            [\n              -73.487548828125,\n              41.054501963290505\n            ],\n            [\n              -73.2568359375,\n              42.779275360241904\n            ],\n            [\n              -73.223876953125,\n              45.01141864227728\n            ],\n            [\n              -75.003662109375,\n              45.034714778688624\n            ],\n            [\n              -76.5966796875,\n              44.166444664458595\n            ],\n            [\n              -76.201171875,\n              43.58834891179792\n            ],\n            [\n              -79.068603515625,\n              43.29320031385282\n            ],\n            [\n              -79.771728515625,\n              42.27730877423709\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a74e4b08de9379b3070","contributors":{"authors":[{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525962,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70138830,"text":"ofr20151012 - 2015 - Simulations of a hypothetical temperature control structure at Detroit Dam on the North Santiam River, northwestern Oregon","interactions":[],"lastModifiedDate":"2015-02-06T13:46:26","indexId":"ofr20151012","displayToPublicDate":"2015-02-06T13:30:00","publicationYear":"2015","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":"2015-1012","title":"Simulations of a hypothetical temperature control structure at Detroit Dam on the North Santiam River, northwestern Oregon","docAbstract":"<p>Water temperature models of Detroit Lake, Big Cliff Lake, and the North Santiam River in northwestern Oregon were used to assess the potential for a hypothetical structure with variable intake elevations and an internal connection to power turbines at Detroit Dam (scenario&nbsp;<i>SlidingWeir</i>) to release more natural, pre-dam temperatures year round. This hypothetical structure improved outflow temperature control from Detroit Dam while meeting minimum dry-season release rates and lake levels specified by the rule curve specified for Detroit Lake.</p>\n<p>A water temperature target based on long-term, without-dams temperature estimates was developed and used to guide the Detroit Lake model to blend releases from the user-defined outlets at Detroit Dam. Simulations that included warm surface water releases during the spring and summer, and cool, deep hypolimnetic water releases later during autumn typically met the temperature target. Immediately downstream of Detroit Dam, these simulations resulted in temperatures within the range of the without-dams temperature estimates for most of the year until about November. The minimum release rates of flow imposed at Detroit Dam during late summer and early autumn exceeded unregulated, without-dams flow estimates. This higher flow led to temperatures near the low end of the without-dams temperature range 46.3 river miles downstream at Greens Bridge from July to September; the high flows released from Detroit Dam were less susceptible to downstream warming than the low unregulated flows. Simulations that blended warm and cool water from different outlets at Detroit Dam resulted in less daily temperature variation compared to the without-dams scenarios as far downstream as Greens Bridge.</p>\n<p>Estimated egg-emergence days for endangered Upper Willamette River Chinook salmon (<i>Oncorhynchus tshawytscha</i>) and Upper Willamette River winter steelhead (<i>Oncorhynchus mykiss</i>) were assessed for all scenarios. Estimated spring Chinook fry emergence under&nbsp;<i>SlidingWeir</i>&nbsp;scenarios was 9 days later immediately downstream of Big Cliff Dam, and 4 days later at Greens Bridge compared with existing structural scenarios at Detroit Dam. Despite the inclusion of a hypothetical sliding weir at Detroit Dam, temperatures exceeded without-dams temperatures during November and December. These late-autumn exceedances likely represent the residual thermal effect of Detroit Lake operated to meet minimum dry-season release rates (supporting instream habitat and irrigation requirements) and lake levels specified by the current (2014) operating rules (supporting recreation and flood mitigation).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151012","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Buccola, N.L., Stonewall, A.J., and Rounds, S.A., 2015, Simulations of a hypothetical temperature control structure at Detroit Dam on the North Santiam River, northwestern Oregon: U.S. Geological Survey Open-File Report 2015-1012, vi, 30 p., https://doi.org/10.3133/ofr20151012.","productDescription":"vi, 30 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057390","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":297807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151012.JPG"},{"id":297805,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1012/"},{"id":297806,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1012/pdf/ofr2015-1012.pdf","text":"Report","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"Universal Transverse Mercator projection, Zone 10","datum":"North American Datum of 1927","country":"United States","state":"Oregon","otherGeospatial":"Big Cliff Lake, Detroit Lake, North Santiam River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.20068359374999,\n              44.469071224701096\n            ],\n            [\n              -123.20068359374999,\n              44.912304304581525\n            ],\n            [\n              -121.77246093750001,\n              44.912304304581525\n            ],\n            [\n              -121.77246093750001,\n              44.469071224701096\n            ],\n            [\n              -123.20068359374999,\n              44.469071224701096\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ab4e4b08de9379b3194","contributors":{"authors":[{"text":"Buccola, Norman L. nbuccola@usgs.gov","contributorId":139094,"corporation":false,"usgs":true,"family":"Buccola","given":"Norman","email":"nbuccola@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":539999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stonewall, Adam J. 0000-0002-3277-8736 stonewal@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-8736","contributorId":138801,"corporation":false,"usgs":true,"family":"Stonewall","given":"Adam","email":"stonewal@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540001,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70140094,"text":"70140094 - 2015 - Mineral commodity summaries 2015","interactions":[],"lastModifiedDate":"2015-02-09T14:21:20","indexId":"70140094","displayToPublicDate":"2015-02-06T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"seriesTitle":{"id":323,"text":"Mineral Commodity Summaries","code":"MCS","active":true,"publicationSubtype":{"id":5}},"title":"Mineral commodity summaries 2015","docAbstract":"<p>Each chapter of the 2015 edition of the U.S. Geological Survey (USGS) Mineral Commodity Summaries (MCS) includes information on events, trends, and issues for each mineral commodity as well as discussions and tabular presentations on domestic industry structure, Government programs, tariffs, 5-year salient statistics, and world production and resources. The MCS is the earliest comprehensive source of 2014 mineral production data for the world. More than 90 individual minerals and materials are covered by two-page synopses.</p>\n<p>For mineral commodities for which there is a Government stockpile, detailed information concerning the stockpile status is included in the two-page synopsis.</p>\n<p>Abbreviations and units of measure, and definitions of selected terms used in the report, are in Appendix A and Appendix B, respectively. \"Appendix C&mdash;Reserves and Resources&rdquo; includes &ldquo;Part A&mdash;Resource/Reserve Classification for Minerals&rdquo; and &ldquo;Part B&mdash;Sources of Reserves Data.\" A directory of USGS minerals information country specialists and their responsibilities is Appendix D.</p>\n<p>The USGS continually strives to improve the value of its publications to users. Constructive comments and suggestions by readers of the MCS 2015 are welcomed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70140094","productDescription":"Report: 196 p.; 1 Appendix","numberOfPages":"199","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063093","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":297786,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/70140094.gif"},{"id":297784,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/2015/mcs2015.pdf","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297785,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/2015/mcsapp2015.pdf","linkFileType":{"id":1,"text":"pdf"}}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a97e4b08de9379b3124","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":539782,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70140180,"text":"ofr20151027 - 2015 - Improved algorithms in the CE-QUAL-W2 water-quality model for blending dam releases to meet downstream water-temperature targets","interactions":[],"lastModifiedDate":"2015-02-06T12:51:55","indexId":"ofr20151027","displayToPublicDate":"2015-02-06T12:45:00","publicationYear":"2015","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":"2015-1027","title":"Improved algorithms in the CE-QUAL-W2 water-quality model for blending dam releases to meet downstream water-temperature targets","docAbstract":"<p><span>Water-quality models allow water resource professionals to examine conditions under an almost unlimited variety of potential future scenarios. The two-dimensional (longitudinal, vertical) water-quality model CE-QUAL-W2, version 3.7, was enhanced and augmented with new features to help dam operators and managers explore and optimize potential solutions for temperature management downstream of thermally stratified reservoirs. Such temperature management often is accomplished by blending releases from multiple dam outlets that access water of different temperatures at different depths. The modified blending algorithm in version 3.7 of CE-QUAL-W2 allows the user to specify a time-series of target release temperatures, designate from 2 to 10 floating or fixed-elevation outlets for blending, impose minimum and maximum head and flow constraints for any blended outlet, and set priority designations for each outlet that allow the model to choose which outlets to use and how to balance releases among them. The modified model was tested with a variety of examples and against a previously calibrated model of Detroit Lake on the North Santiam River in northwestern Oregon, and the results compared well. These updates to the blending algorithms will allow more complicated dam-operation scenarios to be evaluated somewhat automatically with the model, with decreased need for multiple model runs or preprocessing of model inputs to fully characterize the operational constraints.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151027","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Rounds, S.A., and Buccola, N., 2015, Improved algorithms in the CE-QUAL-W2 water-quality model for blending dam releases to meet downstream water-temperature targets: U.S. Geological Survey Open-File Report 2015-1027, Report: vi, 36 p.; Examples; Model Source, https://doi.org/10.3133/ofr20151027.","productDescription":"Report: vi, 36 p.; Examples; Model Source","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-057372","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":297791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151027.JPG"},{"id":297788,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1027/pdf/ofr2015-1027.pdf","text":"Report","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297787,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1027/"},{"id":297789,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1027/downloads/ofr2015-1027_code_changes_examples.zip","text":"Examples","size":"17.2 MB","description":"Examples"},{"id":297790,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1027/downloads/ofr2015-1027_code_changes_model_source.zip","text":"Model Source","size":"2.7 MB","description":"Model Source"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a88e4b08de9379b30da","contributors":{"authors":[{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buccola, Norman L. nbuccola@usgs.gov","contributorId":138859,"corporation":false,"usgs":true,"family":"Buccola","given":"Norman L.","email":"nbuccola@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":539981,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70137743,"text":"sir20155004 - 2015 - Climate change and prairie pothole wetlands: mitigating water-level and hydroperiod effects through upland management","interactions":[],"lastModifiedDate":"2018-01-05T10:15:53","indexId":"sir20155004","displayToPublicDate":"2015-02-06T11:15:00","publicationYear":"2015","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":"2015-5004","title":"Climate change and prairie pothole wetlands: mitigating water-level and hydroperiod effects through upland management","docAbstract":"<p><span>Prairie pothole wetlands offer crucial habitat for North America&rsquo;s waterfowl populations. The wetlands also support an abundance of other species and provide ecological services valued by society. The hydrology of prairie pothole wetlands is dependent on atmospheric interactions. Therefore, changes to the region&rsquo;s climate can have profound effects on wetland hydrology. The relevant literature related to climate change and upland management effects on prairie pothole wetland water levels and hydroperiods was reviewed. Climate change is widely expected to affect water levels and hydroperiods of prairie pothole wetlands, as well as the biota and ecological services that the wetlands support. In general, hydrologic model projections that incorporate future climate change scenarios forecast lower water levels in prairie pothole wetlands and longer periods spent in a dry condition, despite potential increases in precipitation. However, the extreme natural variability in climate and hydrology of prairie pothole wetlands necessitates caution when interpreting model results. Recent changes in weather patterns throughout much of the Prairie Pothole Region have been in increased precipitation that results in increased water inputs to wetlands above losses associated with warmer temperatures. However, observed precipitation increases are within the range of natural climate variability and therefore, may not persist. Identifying management techniques with the potential to affect water inputs to prairie pothole wetlands would provide increased options for managers when dealing with the uncertainties associated with a changing climate. Several grassland management techniques (for example, grazing and burning) have the potential to affect water levels and hydroperiods of prairie pothole by affecting infiltration, evapotranspiration, and snow deposition.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155004","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and North Dakota State University","usgsCitation":"Renton, D., Mushet, D.M., and DeKeyser, E., 2015, Climate change and prairie pothole wetlands: mitigating water-level and hydroperiod effects through upland management: U.S. Geological Survey Scientific Investigations Report 2015-5004, 32 p., https://doi.org/10.3133/sir20155004.","productDescription":"32 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059680","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":297781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155004.jpg"},{"id":297779,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5004/"},{"id":297780,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5004/pdf/sir2015-5004.pdf","text":"Report","size":"3.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"Canada, United States","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.9169921875,\n              54.03358633521085\n            ],\n            [\n              -114.82910156249999,\n              48.1367666796927\n            ],\n            [\n              -102.4365234375,\n              46.619261036171515\n            ],\n            [\n              -98.8330078125,\n              43.32517767999296\n            ],\n            [\n              -95.00976562499999,\n              41.541477666790286\n            ],\n            [\n              -91.8896484375,\n              41.50857729743935\n            ],\n            [\n              -92.021484375,\n              45.644768217751924\n            ],\n            [\n              -96.3720703125,\n              50.65294336725709\n            ],\n            [\n              -101.77734374999999,\n              52.802761415419674\n            ],\n            [\n              -114.9169921875,\n              54.03358633521085\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5ee4b08de9379b301a","contributors":{"authors":[{"text":"Renton, David A. drenton@usgs.gov","contributorId":138600,"corporation":false,"usgs":true,"family":"Renton","given":"David A.","email":"drenton@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":539966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":539965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeKeyser, Edward S.","contributorId":138601,"corporation":false,"usgs":false,"family":"DeKeyser","given":"Edward S.","affiliations":[{"id":12459,"text":"NDSU","active":true,"usgs":false}],"preferred":false,"id":539967,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70140268,"text":"70140268 - 2015 - Long-term plant responses to climate are moderated by biophysical attributes in a North American desert","interactions":[],"lastModifiedDate":"2017-11-27T08:44:57","indexId":"70140268","displayToPublicDate":"2015-02-06T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Long-term plant responses to climate are moderated by biophysical attributes in a North American desert","docAbstract":"<ol>\n<li><strong></strong>Recent elevated temperatures and prolonged droughts in many already water-limited regions throughout the world, including the southwestern U.S., are likely to intensify according to future climate-model projections. This warming and drying can negatively affect perennial vegetation and lead to the degradation of ecosystem properties.</li>\n<li><strong></strong>To better understand these detrimental effects, we formulate a conceptual model of dryland ecosystem vulnerability to climate change that integrates hypotheses on how plant species will respond to increases in temperature and drought, including how plant responses to climate are modified by landscape, soil, and plant attributes that are integral to water availability and use. We test the model through a synthesis of fifty years of repeat measurements of perennial plant species cover in large permanent plots across the Mojave Desert, one of the most water-limited ecosystems in North America.</li>\n<li><strong></strong>Plant species ranged in their sensitivity to precipitation in different seasons, capacity to increase in cover with high precipitation, and resistance to decrease in cover with low precipitation.</li>\n<li><strong></strong>Our model successfully explains how plant responses to climate are modified by biophysical attributes in the Mojave Desert. For example, deep-rooted plants were not as vulnerable to drought on soils that allowed for deep water percolation, whereas shallow-rooted plants were better buffered from drought on soils that promoted water retention near the surface.</li>\n<li><strong></strong>Synthesis. Our results emphasize the importance of understanding climate-vegetation relationships in the context of biophysical attributes that influence water availability and provide an important forecast of climate-change effects, including plant mortality and land degradation in dryland regions throughout the world.</li>\n</ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2745.12381","usgsCitation":"Munson, S.M., Webb, R., Housman, D.C., Veblen, K.E., Nussear, K.E., Beever, E.A., Hartney, K.B., Miriti, M.N., Phillips, S.L., Fulton, R.E., and Tallent, N.G., 2015, Long-term plant responses to climate are moderated by biophysical attributes in a North American desert: Journal of Ecology, v. 103, no. 3, p. 657-668, https://doi.org/10.1111/1365-2745.12381.","productDescription":"12 p.","startPage":"657","endPage":"668","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058048","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":297775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.05932617187499,\n              36.41244153535644\n            ],\n            [\n              -113.411865234375,\n              37.45741810262938\n            ],\n            [\n              -113.2470703125,\n              34.052659421375964\n            ],\n            [\n              -116.20239257812499,\n              33.46810795527896\n            ],\n            [\n              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C.","contributorId":60752,"corporation":false,"usgs":false,"family":"Housman","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":539888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veblen, Kari E.","contributorId":76872,"corporation":false,"usgs":false,"family":"Veblen","given":"Kari","email":"","middleInitial":"E.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":539889,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":539890,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beever, Erik A. ebeever@usgs.gov","contributorId":131032,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":539891,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hartney, Kristine B.","contributorId":139053,"corporation":false,"usgs":false,"family":"Hartney","given":"Kristine","email":"","middleInitial":"B.","affiliations":[{"id":12635,"text":"California Polytechnic State University, College of Science, Pomona, CA","active":true,"usgs":false}],"preferred":false,"id":539892,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miriti, Maria N.","contributorId":139054,"corporation":false,"usgs":false,"family":"Miriti","given":"Maria","email":"","middleInitial":"N.","affiliations":[{"id":12636,"text":"Ohio State University, Department of Evolution, Ecology, & Organismal Biology, Columbus, OH, 43210","active":true,"usgs":false}],"preferred":false,"id":539893,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Phillips, Susan L. 0000-0002-5891-8485 sue_phillips@usgs.gov","orcid":"https://orcid.org/0000-0002-5891-8485","contributorId":717,"corporation":false,"usgs":true,"family":"Phillips","given":"Susan","email":"sue_phillips@usgs.gov","middleInitial":"L.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":539894,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fulton, Robert E.","contributorId":139055,"corporation":false,"usgs":false,"family":"Fulton","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":12637,"text":"California State University, Desert Studies Center, Baker, CA","active":true,"usgs":false}],"preferred":false,"id":539895,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tallent, Nita G.","contributorId":139056,"corporation":false,"usgs":false,"family":"Tallent","given":"Nita","email":"","middleInitial":"G.","affiliations":[{"id":12638,"text":"National Park Service, Mojave Desert Inventory & Monitoring Network, Boulder City, NV, 89005","active":true,"usgs":false}],"preferred":false,"id":539896,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70137267,"text":"sir20145237 - 2015 - Simulation of the regional groundwater-flow system of the Menominee Indian Reservation, Wisconsin","interactions":[],"lastModifiedDate":"2015-02-06T09:37:21","indexId":"sir20145237","displayToPublicDate":"2015-02-06T10:30:00","publicationYear":"2015","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":"2014-5237","title":"Simulation of the regional groundwater-flow system of the Menominee Indian Reservation, Wisconsin","docAbstract":"<p>A regional, two-dimensional, steady-state groundwater-flow model was developed to simulate the groundwater-flow system and groundwater/surface-water interactions within the Menominee Indian Reservation. The model was developed by the U.S. Geological Survey (USGS), in cooperation with the Menominee Indian Tribe of Wisconsin, to contribute to the fundamental understanding of the region&rsquo;s hydrogeology. The objectives of the regional model were to improve understanding of the groundwater-flow system, including groundwater/surface-water interactions, and to develop a tool suitable for evaluating the effects of potential regional water-management programs. The computer code GFLOW was used because of the ease with which the model can simulate groundwater/surface-water interactions, provide a framework for simulating regional groundwater-flow systems, and be refined in a stepwise fashion to incorporate new data and simulate groundwater-flow patterns at multiple scales. Simulations made with the regional model reproduce groundwater levels and stream base flows representative of recent conditions (1970&ndash;2013) and illustrate groundwater-flow patterns with maps of (1) the simulated water table and groundwater-flow directions, (2) probabilistic areas contributing recharge to high-capacity pumped wells, and (3) estimation of the extent of infiltrated wastewater from treatment lagoons.</p>\n<p>The groundwater-flow model described in this report simulates the major hydrogeologic features of the modeled area, including surficial unconsolidated aquifers, groundwater/surface-water interactions, and groundwater withdrawals from existing high-capacity production wells. Areas contributing recharge to pumped high-capacity wells on the Menominee Indian Reservation were delineated by tracking simulated water particles from the water table to wells in combination with Monte Carlo techniques, and maps of the probability of capture for each well nest were produced. Groundwater-agebased areas contributing recharge to wells were simulated by using the calibrated set of parameters and porosity values adjusted to account for bias in simulated saturated thickness. Simulations were performed for current (2013) pumping rates. The simulations show a range in sensitivity of the simulated areas contributing recharge to wells given the parameters evaluated through the Monte Carlo analysis. The areas contributing recharge to supply wells for the villages of Zoar and Neopit are long and narrow, with a sharp gradation from high to low probability of capture. The areas contributing recharge to supply wells for Middle Village and the village of Keshena exhibit a sharp gradation from high to low probability over a relatively small area between the well and a local groundwater mound. The highest probability areas contributing recharge to the supply wells for the Villages of Onekewat and Redwing are in the immediate vicinity of the wells. These wells also have an extensive area with low probability for capturing water that is likely due to a locally low hydraulic gradient and the large degree of uncertainty associated with the lakebed resistance parameters that control interaction between groundwater and local lakes. Additional field investigations and associated local model refinements would facilitate further reductions in uncertainty associated with simulated areas contributing recharge to the wells.</p>\n<p>The likely extent of the Neopit wastewater plume was simulated by using the groundwater-flow model and Monte Carlo techniques to evaluate the sensitivity of predictive simulations to a range of model parameter values. Wastewater infiltrated from the currently operating lagoons flows predominantly south toward Tourtillotte Creek. Some of the infiltrated wastewater is simulated as having a low probability of flowing beneath Tourtillotte Creek to the nearby West Branch Wolf River. Results for the probable extent of the wastewater plume are considered to be qualitative because the method only considers advective flow and does not account for processes affecting contaminant transport in porous media. Therefore, results for the probable extent of the wastewater plume are sensitive to the number of particles used to represent flow from the lagoon and the resolution of a synthetic grid used for the analysis. Nonetheless, it is expected that the qualitative results may be of use for identifying potential downgradient areas of concern that can then be evaluated using the quantitative &ldquo;area contributing recharge to wells&rdquo; method or traditional contaminant-transport simulations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145237","collaboration":"In cooperation with the Menominee Indian Tribe of Wisconsin","usgsCitation":"Juckem, P.F., and Dunning, C., 2015, Simulation of the regional groundwater-flow system of the Menominee Indian Reservation, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2014-5237, Report: vi, 40 p.; 1 Appendix, https://doi.org/10.3133/sir20145237.","productDescription":"Report: vi, 40 p.; 1 Appendix","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051827","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":297772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145237.jpg"},{"id":297770,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5237/pdf/sir2014-5237.pdf","size":"11.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297771,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5237/appendix/sir2014-5237_appendix1.xlsx","text":"Appendix 1","size":"43 kB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"Data from auger surveys near the Villages of Neopit, Zoar, and Keshena."},{"id":297768,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5237/"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Menominee Indian Reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.98376464843749,\n              45.11133093583214\n            ],\n            [\n              -88.98239135742188,\n              44.94633342311665\n            ],\n            [\n              -88.73794555664062,\n              44.94438944516438\n            ],\n            [\n              -88.7310791015625,\n              44.85100108620397\n            ],\n            [\n              -88.47152709960938,\n              44.8490538825394\n            ],\n            [\n              -88.472900390625,\n              45.11326925230233\n            ],\n            [\n              -88.98376464843749,\n              45.11133093583214\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ab4e4b08de9379b3192","contributors":{"authors":[{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","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":539963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunning, Charles P. cdunning@usgs.gov","contributorId":892,"corporation":false,"usgs":true,"family":"Dunning","given":"Charles P.","email":"cdunning@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":539964,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70139975,"text":"fs20143089 - 2015 - Water resources of La Salle Parish, Louisiana","interactions":[],"lastModifiedDate":"2015-02-05T14:15:15","indexId":"fs20143089","displayToPublicDate":"2015-02-05T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3089","title":"Water resources of La Salle Parish, Louisiana","docAbstract":"<p><span>Information concerning the availability, use, and quality of water in La Salle Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey&rsquo;s National Water Information System (</span><i>http://waterdata.usgs.gov/nwis</i><span>) are the primary sources of the information presented here.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143089","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L.B., 2015, Water resources of La Salle Parish, Louisiana: U.S. Geological Survey Fact Sheet 2014-3089, 6 p., https://doi.org/10.3133/fs20143089.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056216","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":297765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143089.jpg"},{"id":297764,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3089/pdf/fs2014-3089.pdf","text":"Report","size":"1.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297693,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3089/"}],"country":"United States","state":"Louisiana","otherGeospatial":"La Salle Parish","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.384033203125,\n              31.33252503230784\n            ],\n            [\n              -92.384033203125,\n              31.924192605327708\n            ],\n            [\n              -91.9940185546875,\n              31.924192605327708\n            ],\n            [\n              -91.9940185546875,\n              31.33252503230784\n            ],\n            [\n              -92.384033203125,\n              31.33252503230784\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2acde4b08de9379b3211","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Lawrence B. lprakken@usgs.gov","contributorId":2319,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence","email":"lprakken@usgs.gov","middleInitial":"B.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":539753,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70157345,"text":"70157345 - 2015 - Fire modulates climate change response of simulated aspen distribution across topoclimatic gradients in a semi-arid montane landscape","interactions":[],"lastModifiedDate":"2017-11-20T15:40:32","indexId":"70157345","displayToPublicDate":"2015-02-05T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fire modulates climate change response of simulated aspen distribution across topoclimatic gradients in a semi-arid montane landscape","docAbstract":"<p>Content Changing aspen distribution in response to climate change and fire is a major focus of biodiversity conservation, yet little is known about the potential response of aspen to these two driving forces along topoclimatic gradients. Objective This study is set to evaluate how aspen distribution might shift in response to different climate-fire scenarios in a semi-arid montane landscape, and quantify the influence of fire regime along topoclimatic gradients. Methods We used a novel integration of a forest landscape succession and disturbance model (LANDIS-II) with a fine-scale climatic water deficit approach to simulate dynamics of aspen and associated conifer and shrub species over the next 150 years under various climate-fire scenarios. Results Simulations suggest that many aspen stands could persist without fire for centuries under current climate conditions. However, a simulated 2&ndash;5 &deg;C increase in temperature caused a substantial reduction of aspen coverage at lower elevations and a modest increase at upper elevations, leading to an overall reduction of aspen range at the landscape level. Increasing fire activity may favor aspen increase at its upper elevation limits adjacent to coniferous forest, but may also favor reduction of aspen at lower elevation limits adjacent to xeric shrubland. Conclusions Our study highlights the importance of incorporating fine-scale terrain effects on climatic water deficit and ecohydrology when modeling species distribution response to climate change. This modeling study suggests that climate mitigation and adaptation strategies that use fire would benefit from consideration of spatial context at landscape scales.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-015-0160-1","usgsCitation":"Yang, J., Weisberg, P.J., Shinneman, D.J., Dilts, T.E., Earnst, S.L., and Scheller, R., 2015, Fire modulates climate change response of simulated aspen distribution across topoclimatic gradients in a semi-arid montane landscape: Landscape Ecology, v. 30, no. 6, p. 1055-1073, https://doi.org/10.1007/s10980-015-0160-1.","productDescription":"24 p.","startPage":"1055","endPage":"1073","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054573","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":308332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308306,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s10980-015-0160-1"}],"volume":"30","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-05","publicationStatus":"PW","scienceBaseUri":"56012a4ce4b03bc34f5443ff","contributors":{"authors":[{"text":"Yang, Jian","contributorId":147806,"corporation":false,"usgs":false,"family":"Yang","given":"Jian","email":"","affiliations":[{"id":16940,"text":"Institute of Applied Ecology, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":572764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weisberg, Peter J.","contributorId":33631,"corporation":false,"usgs":true,"family":"Weisberg","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":572765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":572763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dilts, Thomas E.","contributorId":36833,"corporation":false,"usgs":true,"family":"Dilts","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":572766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Earnst, Susan L. susan_earnst@usgs.gov","contributorId":4446,"corporation":false,"usgs":true,"family":"Earnst","given":"Susan","email":"susan_earnst@usgs.gov","middleInitial":"L.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":572767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scheller, Robert M","contributorId":147807,"corporation":false,"usgs":false,"family":"Scheller","given":"Robert M","affiliations":[{"id":16941,"text":"Environmental Science and Management Department, Portland State University","active":true,"usgs":false}],"preferred":false,"id":572768,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70140168,"text":"70140168 - 2015 - Mercury concentrations and distribution in soil, water, mine waste leachates, and air in and around mercury mines in the Big Bend region, Texas, USA","interactions":[],"lastModifiedDate":"2018-09-04T15:32:43","indexId":"70140168","displayToPublicDate":"2015-02-04T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1538,"text":"Environmental Geochemistry and Health","active":true,"publicationSubtype":{"id":10}},"title":"Mercury concentrations and distribution in soil, water, mine waste leachates, and air in and around mercury mines in the Big Bend region, Texas, USA","docAbstract":"<p><span>Samples of soil, water, mine waste leachates, soil gas, and air were collected from areas mined for mercury (Hg) and baseline sites in the Big Bend area, Texas, to evaluate potential Hg contamination in the region. Soil samples collected within 300&nbsp;m of an inactive Hg mine contained elevated Hg concentrations (3.8&ndash;11&nbsp;&micro;g/g), which were considerably higher than Hg in soil collected from baseline sites (0.03&ndash;0.05&nbsp;&micro;g/g) distal (as much as 24&nbsp;km) from mines. Only three soil samples collected within 300&nbsp;m of the mine exceeded the probable effect concentration for Hg of 1.06&nbsp;&micro;g/g, above which harmful effects are likely to be observed in sediment-dwelling organisms. Concentrations of Hg in mine water runoff (7.9&ndash;14&nbsp;ng/L) were generally higher than those found in springs and wells (0.05&ndash;3.1&nbsp;ng/L), baseline streams (1.1&ndash;9.7&nbsp;ng/L), and sources of drinking water (0.63&ndash;9.1&nbsp;ng/L) collected in the Big Bend region. Concentrations of Hg in all water samples collected in this study were considerably below the 2,000&nbsp;ng/L drinking water Hg guideline and the 770&nbsp;ng/L guideline recommended by the U.S. Environmental Protection Agency (USEPA) to protect aquatic wildlife from chronic effects of Hg. Concentrations of Hg in water leachates obtained from leaching of mine wastes varied widely from &lt;0.001 to 760&nbsp;&micro;g of Hg in leachate/g of sample leached, but only one leachate exceeded the USEPA Hg industrial soil screening level of 31&nbsp;&micro;g/g. Concentrations of Hg in soil gas collected at mined sites (690&ndash;82,000&nbsp;ng/m</span><sup>3</sup><span>) were highly elevated compared to soil gas collected from baseline sites (1.2&ndash;77&nbsp;ng/m</span><sup>3</sup><span>). However, air collected from mined areas at a height of 2&nbsp;m above the ground surface contained concentrations of Hg (4.9&ndash;64&nbsp;ng/m</span><sup>3</sup><span>) that were considerably lower than Hg in soil gas from the mined areas. Although concentrations of Hg emitted from mine-contaminated soils and mine wastes were elevated, persistent wind in southwest Texas disperses Hg in the air within a few meters of the ground surface.</span></p>","language":"English","publisher":"Springer Netherlands","doi":"10.1007/s10653-014-9628-1","usgsCitation":"Gray, J.E., Theodorakos, P.M., Fey, D.L., and Krabbenhoft, D.P., 2015, Mercury concentrations and distribution in soil, water, mine waste leachates, and air in and around mercury mines in the Big Bend region, Texas, USA: Environmental Geochemistry and Health, v. 37, no. 1, p. 35-48, https://doi.org/10.1007/s10653-014-9628-1.","productDescription":"14 p.","startPage":"35","endPage":"48","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055323","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472288,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10653-014-9628-1","text":"Publisher Index Page"},{"id":297743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Big Bend region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.78372192382812,\n              28.96609636803482\n            ],\n            [\n              -103.78372192382812,\n              29.627190028270117\n            ],\n            [\n              -102.78396606445312,\n              29.627190028270117\n            ],\n            [\n              -102.78396606445312,\n              28.96609636803482\n            ],\n            [\n              -103.78372192382812,\n              28.96609636803482\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-29","publicationStatus":"PW","scienceBaseUri":"54dd2a96e4b08de9379b311a","contributors":{"authors":[{"text":"Gray, John E. jgray@usgs.gov","contributorId":1275,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jgray@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":539852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Theodorakos, Peter M. ptheodor@usgs.gov","contributorId":1566,"corporation":false,"usgs":true,"family":"Theodorakos","given":"Peter","email":"ptheodor@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":539853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":539855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":539854,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70138588,"text":"ofr20151008 - 2015 - Social Values for Ecosystem Services, version 3.0 (SolVES 3.0): documentation and user manual","interactions":[],"lastModifiedDate":"2015-02-04T14:31:17","indexId":"ofr20151008","displayToPublicDate":"2015-02-04T14:30:00","publicationYear":"2015","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":"2015-1008","title":"Social Values for Ecosystem Services, version 3.0 (SolVES 3.0): documentation and user manual","docAbstract":"<p><span>The geographic information system (GIS) tool,&nbsp;</span><i>S</i><span>ocial<span>&nbsp;</span></span><i>V</i><span>alues for<span>&nbsp;</span></span><i>E</i><span>cosystem<span>&nbsp;</span></span><i>S</i><span>ervices (SolVES), was developed to incorporate quantified and spatially explicit measures of social values into ecosystem service assessments. SolVES 3.0 continues to extend the functionality of SolVES, which was designed to assess, map, and quantify the social values of ecosystem services. Social values&mdash;the perceived, nonmarket values the public ascribes to ecosystem services, particularly cultural services, such as aesthetics and recreation&mdash;can be evaluated for various stakeholder groups. These groups are distinguishable by their attitudes and preferences regarding public uses, such as motorized recreation and logging. As with previous versions, SolVES 3.0 derives a quantitative 10-point, social-values metric&mdash;the value index&mdash;from a combination of spatial and nonspatial responses to public value and preference surveys. The tool also calculates metrics characterizing the underlying environment, such as average distance to water and dominant landcover. SolVES 3.0 is integrated with Maxent maximum entropy modeling software to generate more complete social-value maps and offer robust statistical models describing the relationship between the value index and explanatory environmental variables. A model&rsquo;s goodness of fit to a primary study area and its potential performance in transferring social values to similar areas using value-transfer methodology can be evaluated. SolVES 3.0 provides an improved public-domain tool for decision makers and researchers to evaluate the social values of ecosystem services and to facilitate discussions among diverse stakeholders regarding the tradeoffs among ecosystem services in a variety of physical and social contexts ranging from forest and rangeland to coastal and marine.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151008","usgsCitation":"Sherrouse, B.C., and Semmens, D.J., 2015, Social Values for Ecosystem Services, version 3.0 (SolVES 3.0): documentation and user manual: U.S. Geological Survey Open-File Report 2015-1008, Report: vi, 65 p.; SolVES 3.0, https://doi.org/10.3133/ofr20151008.","productDescription":"Report: vi, 65 p.; SolVES 3.0","startPage":"65","numberOfPages":"71","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059598","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":297741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151008.jpg"},{"id":297738,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1008/"},{"id":297739,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1008/pdf/ofr2015-1008.pdf","text":"Report","size":"5.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297740,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1008/downloads/SolVES_V3.zip","text":"SolVES 3.0","size":"54.2 MB","description":"SolVES 3.0"}],"publicComments":"Land Change Science Program","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ab4e4b08de9379b3198","contributors":{"authors":[{"text":"Sherrouse, Benson C. 0000-0002-5102-5895 bcsherrouse@usgs.gov","orcid":"https://orcid.org/0000-0002-5102-5895","contributorId":2445,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"bcsherrouse@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":539842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":539843,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70140152,"text":"ofr20141258 - 2015 - Lake Michigan Diversion Accounting land cover change estimation by use of the National Land Cover Dataset and raingage network partitioning analysis","interactions":[],"lastModifiedDate":"2015-02-04T10:58:40","indexId":"ofr20141258","displayToPublicDate":"2015-02-04T10:45:00","publicationYear":"2015","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":"2014-1258","title":"Lake Michigan Diversion Accounting land cover change estimation by use of the National Land Cover Dataset and raingage network partitioning analysis","docAbstract":"<p>The U.S. Army Corps of Engineers (USACE), Chicago District, is responsible for monitoring and computation of the quantity of Lake Michigan water diverted by the State of Illinois. As part of this effort, the USACE uses the Hydrological Simulation Program&ndash;FORTRAN (HSPF) with measured meteorological data inputs to estimate runoff from the Lake Michigan diversion special contributing areas (SCAs), the North Branch Chicago River above Niles and the Little Calumet River above South Holland gaged basins, and the Lower Des Plaines and the Calumet ungaged that historically drained to Lake Michigan. These simulated runoffs are used for estimating the total runoff component from the diverted Lake Michigan watershed, which is accountable to the total diversion by the State of Illinois. The runoff is simulated from three interpreted land cover types in the HSPF models: impervious, grass, and forest. The three land cover data types currently in use were derived from aerial photographs acquired in the early 1990s.</p>\n<p>This study used the National Land Cover Dataset (NLCD) and developed an automated process for determining the area of the three land cover types, thereby allowing faster updating of future models, and for evaluating land cover changes by use of historical NLCD datasets. The study also carried out a raingage partitioning analysis so that the segmentation of land cover and rainfall in each modeled unit is directly applicable to the HSPF modeling. Historical and existing impervious, grass, and forest land acreages partitioned by percentages covered by two sets of raingages for the Lake Michigan diversion SCAs, gaged basins, and ungaged basins are presented.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141258","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Chicago District","usgsCitation":"Sharpe, J.B., and Soong, D.T., 2015, Lake Michigan Diversion Accounting land cover change estimation by use of the National Land Cover Dataset and raingage network partitioning analysis: U.S. Geological Survey Open-File Report 2014-1258, Report: iv, 12 p.; Downloads Directory, https://doi.org/10.3133/ofr20141258.","productDescription":"Report: iv, 12 p.; Downloads Directory","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-060110","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":297727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141258.jpg"},{"id":297724,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1258/"},{"id":297725,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1258/pdf/ofr2014-1258.pdf","text":"Report","size":"2.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297726,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1258/downloads/ofr2014-1258_tables5-20.xlsx","text":"Downloads Directory","description":"Downloads Directory","linkHelpText":"Contains: Excel spreadsheets of tables 5 through 20."}],"projection":"Albers Equal-Area Conic Projection","country":"United States","state":"Illinois","otherGeospatial":"Calumet River, Lake Michigan, Little Calumet River, Lower Des Plaines River, North Branch Chicago River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.989501953125,\n              41.3500103516271\n            ],\n            [\n              -87.989501953125,\n              42.370720143531955\n            ],\n            [\n              -87.286376953125,\n              42.370720143531955\n            ],\n            [\n              -87.286376953125,\n              41.3500103516271\n            ],\n            [\n              -87.989501953125,\n              41.3500103516271\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a8de4b08de9379b30ee","contributors":{"authors":[{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soong, David T. dsoong@usgs.gov","contributorId":2230,"corporation":false,"usgs":true,"family":"Soong","given":"David","email":"dsoong@usgs.gov","middleInitial":"T.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":539830,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193113,"text":"70193113 - 2015 - Exxon Valdez Oil Spill Restoration Project final report: Monitoring for evaluation of recovery and restoration of injured nearshore resources","interactions":[],"lastModifiedDate":"2017-12-21T10:24:09","indexId":"70193113","displayToPublicDate":"2015-02-04T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"displayTitle":"<i>Exxon Valdez</i> Oil Spill Restoration Project final report: Monitoring for evaluation of recovery and restoration of injured nearshore resources","title":"Exxon Valdez Oil Spill Restoration Project final report: Monitoring for evaluation of recovery and restoration of injured nearshore resources","docAbstract":"<p><span>In 2012, we completed three consecutive years of full field sampling in WPWS for EVOS Restoration Project 10100750. Nearshore monitoring was conducted in collaboration with the NPS SWAN I&amp;M program and, beginning in 2012, as part of the EVOSTC GWA program.&nbsp;Data collection was done in accordance with standard operating procedures set forth to monitor marine water chemistry and quality, marine intertidal invertebrates, kelps and seagrasses, marine birds, black oystercatchers, and sea otters. Summer sampling in 2012 represented the fourth year of sampling in WPWS (an initial year of sampling was done in WPWS in 2007; EVOS Restoration Project 070750). Based on our monitoring of nearshore species in WPWS, and comparisons of data from WPWS and other areas within the Gulf of Alaska, we have no evidence of continued injury to biological resources at the spatial scales we are monitoring. A key finding is that recovery of the sea otter population is no longer constrained by exposure to lingering oil; this is consistent with related EVOSTC studies on harlequin ducks (Restoration Project 12120114-Q). We anticipate continued annual nearshore monitoring in WPWS and at KATM and KEFJ under GWA, with data summaries and analyses including all three areas to provide a larger spatial and temporal context to the understanding of processes and patterns in nearshore ecosystems of the GOA which were impacted by the EVOS of 1989.</span></p>","language":"English","publisher":"Exxon Valdez Oil Spill Trustee Council","usgsCitation":"Ballachey, B.E., Bodkin, J.L., Kloecker, K.A., Dean, T., and Colletti, H.A., 2015, Exxon Valdez Oil Spill Restoration Project final report: Monitoring for evaluation of recovery and restoration of injured nearshore resources, 15 p.","productDescription":"15 p.","ipdsId":"IP-056353","costCenters":[{"id":116,"text":"Alaska Science Center Biology 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60febde4b06e28e9c2533b","contributors":{"authors":[{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kloecker, Kimberly A. 0000-0002-2461-968X kkloecker@usgs.gov","orcid":"https://orcid.org/0000-0002-2461-968X","contributorId":3442,"corporation":false,"usgs":true,"family":"Kloecker","given":"Kimberly","email":"kkloecker@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dean, Tom","contributorId":199046,"corporation":false,"usgs":false,"family":"Dean","given":"Tom","email":"","affiliations":[],"preferred":false,"id":718021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colletti, Heather A","contributorId":199047,"corporation":false,"usgs":false,"family":"Colletti","given":"Heather","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":718022,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70137562,"text":"sir20145242 - 2015 - Low-flow characteristics for selected streams in Indiana","interactions":[],"lastModifiedDate":"2015-02-03T10:35:00","indexId":"sir20145242","displayToPublicDate":"2015-02-03T11:00:00","publicationYear":"2015","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":"2014-5242","title":"Low-flow characteristics for selected streams in Indiana","docAbstract":"<p>The management and availability of Indiana&rsquo;s water resources increase in importance every year. Specifically, information on low-flow characteristics of streams is essential to State water-management agencies. These agencies need low-flow information when working with issues related to irrigation, municipal and industrial water supplies, fish and wildlife protection, and the dilution of waste. Industrial, municipal, and other facilities must obtain National Pollutant Discharge Elimination System (NPDES) permits if their discharges go directly to surface waters. The Indiana Department of Environmental Management (IDEM) requires low-flow statistics in order to administer the NPDES permit program. Low-flow-frequency characteristics were computed for 272 continuous-record stations. The information includes low-flow-frequency analysis, flow-duration analysis, and harmonic mean for the continuous-record stations. For those stations affected by some form of regulation, low-flow frequency curves are based on the longest period of homogeneous record under current conditions. Low-flow-frequency values and harmonic mean flow (if sufficient data were available) were estimated for the 166 partial-record stations. Partial-record stations are ungaged sites where streamflow measurements were made at base flow.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145242","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management","usgsCitation":"Fowler, K.K., and Wilson, J.T., 2015, Low-flow characteristics for selected streams in Indiana: U.S. Geological Survey Scientific Investigations Report 2014-5242, Report: iv, 353 p.; 2 Tables, https://doi.org/10.3133/sir20145242.","productDescription":"Report: iv, 353 p.; 2 Tables","numberOfPages":"361","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051143","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":297704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145242.jpg"},{"id":297699,"type":{"id":15,"text":"Index 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