{"pageNumber":"617","pageRowStart":"15400","pageSize":"25","recordCount":46883,"records":[{"id":70040764,"text":"pp1793 - 2012 - Synthesis of petrographic, geochemical, and isotopic data for the Boulder batholith, southwest Montana","interactions":[],"lastModifiedDate":"2012-11-16T08:47:02","indexId":"pp1793","displayToPublicDate":"2012-11-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1793","title":"Synthesis of petrographic, geochemical, and isotopic data for the Boulder batholith, southwest Montana","docAbstract":"The Late Cretaceous Boulder batholith in southwest Montana consists of the Butte Granite and a group of associated smaller intrusions emplaced into Mesoproterozoic to Mesozoic sedimentary rocks and into the Late Cretaceous Elkhorn Mountains Volcanics. The Boulder batholith is dominated by the voluminous Butte Granite, which is surrounded by as many as a dozen individually named, peripheral intrusions. These granodiorite, monzogranite, and minor syenogranite intrusions contain varying abundances of plagioclase, alkali feldspar, quartz, biotite, hornblende, rare clinopyroxene, and opaque oxide minerals. Mafic, intermediate, and felsic subsets of the Boulder batholith intrusions are defined principally on the basis of color index. Most Boulder batholith plutons have inequigranular to seriate textures although several are porphyritic and some are granophyric (and locally miarolitic). Most of these plutons are medium grained but several of the more felsic and granophyric intrusions are fine grained. Petrographic characteristics, especially relative abundances of constituent minerals, are distinctive and foster reasonably unambiguous identification of individual intrusions. Seventeen samples from plutons of the Boulder batholith were dated by SHRIMP (<u>S</u>ensitive <u>H</u>igh <u>R</u>esolution <u>I</u>on <u>M</u>icroprobe) zircon U-Pb geochronology. Three samples of the Butte Granite show that this large pluton may be composite, having formed during two episodes of magmatism at about 76.7 &plusmn; 0.5 Ma (2 samples) and 74.7 &plusmn; 0.6 million years ago (Ma) (1 sample). However, petrographic and chemical data are inconsistent with the Butte Granite consisting of separate, compositionally distinct intrusions. Accordingly, solidification of magma represented by the Butte Granite appears to have spanned about 2 million year (m.y.). The remaining Boulder batholith plutons were emplaced during a 6-10 m.y. span (81.7 &plusmn; 1.4 Ma to 73.7 &plusmn; 0.6 Ma). The compositional characteristics of these plutons are similar to those of moderately differentiated subduction-related magmas. The plutons form relatively coherent, distinct but broadly overlapping major oxide composition clusters or linear arrays on geochemical variation diagrams. Rock compositions are subalkaline, magnesian, calc-alkalic to calcic, and metaluminous to weakly peraluminous. The Butte Granite intrusion is homogeneous with respect to major oxide abundances. Each of the plutons is also characterized by distinct trace element abundances although absolute trace element abundance variations are relatively minor. Limited Sr and Nd isotope data for whole-rock samples of the Boulder batholith are more radiogenic than those for plutonic rocks of western Idaho, eastern Oregon, the Salmon River suture, and most of the Big Belt Mountains. Initial strontium (Sr<sub>i</sub>) values are low and epsilon neodymium (&epsilon;<sub>Nd</sub>) values are comparable relative to those of other southwest Montana basement and Mesozoic intrusive rocks. Importantly, although the Boulder batholith hosts significant mineral deposits, including the world-class Butte Cu-Ag deposit, ore metal abundances in the Butte Granite, as well as in its peripheral plutons, are not elevated but are comparable to global average abundances in igneous rocks.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1793","usgsCitation":"du Bray, E.A., Aleinikoff, J.N., and Lund, K., 2012, Synthesis of petrographic, geochemical, and isotopic data for the Boulder batholith, southwest Montana: U.S. Geological Survey Professional Paper 1793, Report: iv, 39 p.; Appendix 1, https://doi.org/10.3133/pp1793.","productDescription":"Report: iv, 39 p.; Appendix 1","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":263207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1793.gif"},{"id":263204,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1793/"},{"id":263205,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1793/PP1793.pdf"},{"id":263206,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1793/Appendix_1.xls"}],"scale":"200000","projection":"Universal Transverse Mercator projection, Zone 12","datum":"North American Datum of 1927","country":"United States","state":"Montana","otherGeospatial":"Boulder Batholith","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.75,45.75 ], [ -112.75,46.75 ], [ -111.5,46.75 ], [ -111.5,45.75 ], [ -112.75,45.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a76087e4b0e93eb366ee52","contributors":{"authors":[{"text":"du Bray, Edward A. 0000-0002-4383-8394 edubray@usgs.gov","orcid":"https://orcid.org/0000-0002-4383-8394","contributorId":755,"corporation":false,"usgs":true,"family":"du Bray","given":"Edward","email":"edubray@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":468974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":468976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, Karen 0000-0002-4249-3582 klund@usgs.gov","orcid":"https://orcid.org/0000-0002-4249-3582","contributorId":1235,"corporation":false,"usgs":true,"family":"Lund","given":"Karen","email":"klund@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":468975,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040795,"text":"sir20125056 - 2012 - Preliminary assessment of sources of nitrogen in groundwater at a biosolids-application area near Deer Trail","interactions":[],"lastModifiedDate":"2012-11-16T16:21:09","indexId":"sir20125056","displayToPublicDate":"2012-11-16T00:00:00","publicationYear":"2012","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":"2012-5056","title":"Preliminary assessment of sources of nitrogen in groundwater at a biosolids-application area near Deer Trail","docAbstract":"Concentrations of dissolved nitrite plus nitrate increased fairly steadily in samples from four shallow groundwater monitoring wells after biosolids applications to nonirrigated farmland began in 1993. The U.S. Geological Survey began a preliminary assessment of sources of nitrogen in shallow groundwater at part of the biosolids-application area near Deer Trail, Colorado, in 2005 in cooperation with the Metro Wastewater Reclamation District. Possible nitrogen sources in the area include biosolids, animal manure, inorganic fertilizer, atmospheric deposition, and geologic materials (bedrock and soil). Biosolids from the Metro Wastewater Reclamation District plant in Denver and biosolids, cow manure, geologic materials (bedrock and soil), and groundwater from the study area were sampled to measure nitrogen content and nitrogen isotopic compositions of nitrate or total nitrogen. Biosolids also were leached, and the leachates were analyzed for nitrogen content and other concentrations. Geologic materials from the study area also were sampled to determine mineralogy. Estimates of nitrogen contributed from inorganic fertilizer and atmospheric deposition were calculated from other published reports.\n\nThe nitrogen information from the study indicates that each of the sources contain sufficient nitrogen to potentially affect groundwater nitrate concentrations. Natural processes can transform the nitrogen in any of the sources to nitrate in the groundwater. Load calculations indicate that animal manure, inorganic fertilizer, or atmospheric deposition could have contributed the largest nitrogen load to the study area in the 13 years before biosolids applications began, but biosolids likely contributed the largest nitrogen load to the study area in the 13 years after biosolids applications began.\n\nVarious approaches provided insights into sources of nitrate in the groundwater samples from 2005. The isotopic data indicate that, of the source materials considered, biosolids and (or) animal manure were the most likely sources of nitrate in the wells at the time of sampling (2005), and that inorganic fertilizer, atmospheric deposition, and geologic materials were not substantial sources of nitrate in the wells in 2005. The large total nitrogen content of the biosolids and animal-manure samples and biosolids leachates also indicates that the biosolids and animal manure had potential to leach nitrogen and produce large dissolved nitrate concentrations in groundwater. The available data, however, could not be used to distinguish between biosolids or manure as the dominant source of nitrate in the groundwater because the nitrogen isotopic composition of the two materials is similar. Major-ion data also could not be used to distinguish between biosolids or manure as the dominant source of nitrate in the groundwater because the major-ion composition (as well as the isotopic composition) of the two materials is similar. Without additional data, chloride/bromide mass ratios do not necessarily support or refute the hypothesis that biosolids and (or) animal manure were the primary sources of nitrate in water from the study-area wells in 2005. Concentrations of water-extractable nitrate in the soil indicate that biosolids could be an important source of nitrate in the groundwater recharge. Nitrogen inventories in the soil beneath biosolids-application areas and the nitrogen-input estimates for the study area both support the comparisons of isotopic composition, which indicate that some type of human waste (such as biosolids) and (or) animal manure was the source of nitrate in groundwater sampled from the wells in 2005. The nitrogen-load estimates considered with the nitrogen isotopic data and the soil-nitrogen inventories indicate that biosolids applications likely are a major source of nitrogen to the shallow groundwater at these monitoring wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125056","usgsCitation":"Yager, T., and McMahon, P.B., 2012, Preliminary assessment of sources of nitrogen in groundwater at a biosolids-application area near Deer Trail: U.S. Geological Survey Scientific Investigations Report 2012-5056, iv, 30 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125056.","productDescription":"iv, 30 p.; col. ill.; maps (col.)","startPage":"i","endPage":"30","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":263248,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5056/"},{"id":263249,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5056/sir2012-5056.pdf"},{"id":263250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5056.gif"}],"country":"United States","state":"Colorado","city":"Deer Trail","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.054766,39.595041 ], [ -104.054766,39.627831 ], [ -104.033176,39.627831 ], [ -104.033176,39.595041 ], [ -104.054766,39.595041 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a7607ee4b0e93eb366ee4a","contributors":{"authors":[{"text":"Yager, Tracy J.B.","contributorId":10861,"corporation":false,"usgs":true,"family":"Yager","given":"Tracy J.B.","affiliations":[],"preferred":false,"id":469042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040765,"text":"ofr20121232 - 2012 - Early Tertiary exhumation of the flank of a forearc basin, southwest Talkeetna Mountains, Alaska","interactions":[],"lastModifiedDate":"2017-06-07T16:40:40","indexId":"ofr20121232","displayToPublicDate":"2012-11-16T00:00:00","publicationYear":"2012","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":"2012-1232","title":"Early Tertiary exhumation of the flank of a forearc basin, southwest Talkeetna Mountains, Alaska","docAbstract":"New geochronologic and thermochronologic data from rocks near Hatcher Pass, southwest Talkeetna Mountains, Alaska, record earliest Paleocene erosional and structural exhumation on the flank of the active Cook Inlet forearc basin. Cretaceous plutons shed sediments to the south, forming the Paleocene Arkose Ridge Formation. A Paleocene(?)-Eocene detachment fault juxtaposed ~60 Ma metamorphic rocks with the base of the Arkose Ridge Formation. U-Pb (analyzed by Sensitive High Resolution Ion Micro Probe Reverse Geometry (SHRIMP-RG)) zircon ages of the Cretaceous plutons, more diverse than previously documented, are 90.3&plusmn;0.3 (previously considered a Jurassic unit), 79.1&plusmn;1.0, 76.1&plusmn;0.9, 75.8&plusmn;0.7, 72.5&plusmn;0.4, 71.9&plusmn;0.3, 70.5&plusmn;0.2, and 67.3&plusmn;0.2 Ma. The cooling of these plutons occurred between 72 and 66 Ma (zircon fission track (FT) closure ~225&deg;C). <sup>40</sup>Ar/<sup>39</sup>Ar analyses of hornblende, white mica, and biotite fall into this range (Harlan and others, 2003). New apatite FT data collected on a west-to-east transect reveal sequential exhumation of fault blocks at 62.8&plusmn;2.9, 54&plusmn;2.5, 52.6&plusmn;2.8, and 44.4&plusmn;2.2 Ma. Plutonic clasts accumulated in the Paleocene Arkose Ridge Formation to the south. Detrital zircon (DZ) ages from the formation reflect this provenance: a new sample yielded one grain at 61 Ma, a dominant peak at 76 Ma, and minor peaks at 70, 80, 88, and 92 Ma. The oldest zircon is 181 Ma. Our apatite FT ages range from 35.1 to 50.9 Ma. Greenschist facies rocks now sit structurally between the plutonic rocks and the Arkose Ridge Formation. They are separated from plutonic rocks by the vertical Hatcher Pass fault and from the sedimentary rocks by a detachment fault. Ar cooling ages (Harlan and others, 2003) and new zircon FT ages for these rocks are concordant at 61-57 Ma, synchronous with deposition of the Arkose Ridge Formation. A cooling age of ~46 Ma came from one apatite FT sample. The metamorphic protolith (previously considered Jurassic) was deposited at or after 75 Ma based on new DZ data. The probability curve has a major peak from 76 to 102 Ma, minor peaks at 186, 197, 213, 303, 346, and 1,828, and two discordant grains at ~2,700 Ma. This is similar to DZ populations in the Valdez Group. The short period of time between deposition, metamorphism, and exhumation are consistent with metamorphism in a subduction-zone setting. Ductile and brittle structures in the metamorphic rocks are consistent with exhumation in a transtensional setting.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121232","usgsCitation":"Bleick, H.A., Till, A.B., Bradley, D., O’Sullivan, P., Wooden, J.L., Bradley, D.B., Taylor, T.A., Friedman, S.B., and Hults, C.P., 2012, Early Tertiary exhumation of the flank of a forearc basin, southwest Talkeetna Mountains, Alaska: U.S. Geological Survey Open-File Report 2012-1232, 1 Sheet: 72.2 x 37 inches, https://doi.org/10.3133/ofr20121232.","productDescription":"1 Sheet: 72.2 x 37 inches","numberOfPages":"1","onlineOnly":"Y","costCenters":[{"id":619,"text":"Volcano Science Center-Menlo Park","active":false,"usgs":true}],"links":[{"id":263212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1232.gif"},{"id":263210,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1232/"},{"id":263211,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1232/of2012-1232.pdf"}],"country":"United States","state":"Alaska","otherGeospatial":"Talkeetna Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -149.00,61.67 ], [ -149.00,61.93 ], [ -149.58,61.93 ], [ -149.58,61.67 ], [ -149.00,61.67 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a76075e4b0e93eb366ee43","contributors":{"authors":[{"text":"Bleick, Heather A. hbleick@usgs.gov","contributorId":2484,"corporation":false,"usgs":true,"family":"Bleick","given":"Heather","email":"hbleick@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":468979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Till, Alison B. atill@usgs.gov","contributorId":2482,"corporation":false,"usgs":true,"family":"Till","given":"Alison","email":"atill@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":468978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Dwight 0000-0001-9116-5289 bradleyorchard2@gmail.com","orcid":"https://orcid.org/0000-0001-9116-5289","contributorId":2358,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","email":"bradleyorchard2@gmail.com","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":468977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Sullivan, Paul","contributorId":107576,"corporation":false,"usgs":true,"family":"O’Sullivan","given":"Paul","affiliations":[],"preferred":false,"id":468985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wooden, Joe L.","contributorId":22210,"corporation":false,"usgs":true,"family":"Wooden","given":"Joe","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":468980,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradley, Dan B.","contributorId":44429,"corporation":false,"usgs":true,"family":"Bradley","given":"Dan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":468981,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taylor, Theresa A.","contributorId":51440,"corporation":false,"usgs":true,"family":"Taylor","given":"Theresa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468982,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Friedman, Sam B.","contributorId":90987,"corporation":false,"usgs":true,"family":"Friedman","given":"Sam","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":468984,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hults, Chad P. chults@usgs.gov","contributorId":1930,"corporation":false,"usgs":true,"family":"Hults","given":"Chad","email":"chults@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":468983,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70040797,"text":"sir20125214 - 2012 - Water-quality assessment and macroinvertebrate data for the Upper Yampa River watershed, Colorado, 1975 through 2009","interactions":[],"lastModifiedDate":"2012-11-16T18:35:23","indexId":"sir20125214","displayToPublicDate":"2012-11-16T00:00:00","publicationYear":"2012","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":"2012-5214","title":"Water-quality assessment and macroinvertebrate data for the Upper Yampa River watershed, Colorado, 1975 through 2009","docAbstract":"A study was initiated in 2009 by the U.S. Geological Survey (USGS), in cooperation with Routt County, the Colorado Water Conservation Board, and the City of Steamboat Springs, to compile and analyze historic water-quality data and assess water-quality conditions in the Upper Yampa River watershed (UYRW) in northwestern Colorado. Water-quality data for samples collected by federal, state, and local agencies for various periods from 1975 through 2009 were compiled and assessed for streams, lakes, reservoirs, and groundwater in the UYRW, including the Elkhead Creek subwatershed and the Yampa River watershed that is upstream from Elkhead Creek. For selected physical-property and chemical-constituent data for samples collected from surface-water sites and groundwater wells in the UYRW, this report: (1) characterizes available data through statistical summaries, (2) analyzes the spatial and temporal distribution of water-quality conditions, (3) identifies temporal trends in water quality, where possible, (4) provides comparisons to federal and state water-quality standards and recommendations, and (5) identifies factors affecting the quality of water. In addition, the availability and characteristics of macroinvertebrate data collected in the UYRW are described.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125214","collaboration":"Prepared in cooperation with Routt County, the Colorado Water Conservation Board, and the City of Steamboat Springs","usgsCitation":"Bauch, N.J., Moore, J.L., Schaffrath, K.R., and Dupree, J.A., 2012, Water-quality assessment and macroinvertebrate data for the Upper Yampa River watershed, Colorado, 1975 through 2009: U.S. Geological Survey Scientific Investigations Report 2012-5214, vii, 129 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125214.","productDescription":"vii, 129 p.; col. ill.; maps (col.)","startPage":"i","endPage":"129","numberOfPages":"140","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1975-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":263253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5214.gif"},{"id":263251,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5214/"},{"id":263252,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5214/sir2012-5214.pdf"}],"scale":"100000","projection":"Universal Transverse Mercator","datum":"NAD 1983","country":"United States","state":"Colorado","otherGeospatial":"Yampa River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.5,39.8 ], [ -107.5,0.0011111111111111111 ], [ -106.5,0.0011111111111111111 ], [ -106.5,39.8 ], [ -107.5,39.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a7608be4b0e93eb366ee56","contributors":{"authors":[{"text":"Bauch, Nancy J. 0000-0002-0302-2892 njbauch@usgs.gov","orcid":"https://orcid.org/0000-0002-0302-2892","contributorId":1297,"corporation":false,"usgs":true,"family":"Bauch","given":"Nancy","email":"njbauch@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":469043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Jennifer L.","contributorId":68447,"corporation":false,"usgs":true,"family":"Moore","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":469045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dupree, Jean A. dupree@usgs.gov","contributorId":2563,"corporation":false,"usgs":true,"family":"Dupree","given":"Jean","email":"dupree@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":469044,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040741,"text":"ofr20121224 - 2012 - Phase 1 freshwater mussel survey and comparison to historical surveys at the Pond Eddy bridge, Delaware River, New York and Pennsylvania","interactions":[],"lastModifiedDate":"2017-07-24T13:00:49","indexId":"ofr20121224","displayToPublicDate":"2012-11-16T00:00:00","publicationYear":"2012","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":"2012-1224","title":"Phase 1 freshwater mussel survey and comparison to historical surveys at the Pond Eddy bridge, Delaware River, New York and Pennsylvania","docAbstract":"A qualitative freshwater mussel survey was conducted in a section of the main stem Delaware River near the Pond Eddy Bridge site, New York and Pennsylvania, during summer 2011 to assess population levels of state and Federal threatened and endangered species. Historical data that were collected at this site were compared to data from the 2011 survey to assess changes in mussel community composition and differences in survey methodology. A total of 4,080 mussels of three species - <i>Elliptio complanata, Anodonta implicata, and Strophitus undulatus</i> - were sampled at the Pond Eddy Bridge site in 2011. No mussel species (<i>Alasmidonta heterodon</i> or <i>Alasmidonta varicosa</i>) that are on Federal or state lists of threatened or endangered species or their shells were collected in this survey. These results are comparable to historical surveys at the site, with some differences in estimated catch per unit effort (CPUE) and species detection, depending upon survey methodology. The CPUE of the three species and species richness and diversity were evaluated. The percentages of species composition for <i>A. implicata</i>, <i>E. complanata</i>, and <i>S. undulatus</i> were 0.02, 0.97, and 0.002, respectively, in 2011.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121224","collaboration":"Prepared in cooperation with the Pennsylvania Department of Transportation","usgsCitation":"Galbraith, H.S., 2012, Phase 1 freshwater mussel survey and comparison to historical surveys at the Pond Eddy bridge, Delaware River, New York and Pennsylvania: U.S. Geological Survey Open-File Report 2012-1224, vi, 17 p., https://doi.org/10.3133/ofr20121224.","productDescription":"vi, 17 p.","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":263170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1224.png"},{"id":263209,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1224/support/of2012-1224.pdf"},{"id":263208,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1224/"}],"country":"United States","state":"New York;Pennsylvania","otherGeospatial":"Delaware River;Pond Eddy Bridge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.0,41.25 ], [ -75.0,41.75 ], [ -74.25,41.75 ], [ -74.25,41.25 ], [ -75.0,41.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a61d3ae4b0d446a665c9ef","contributors":{"authors":[{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":468942,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156811,"text":"70156811 - 2012 - Expanding biological data standards development processes for US IOOS: visual line transect observing community for mammal, bird, and turtle data","interactions":[],"lastModifiedDate":"2021-10-21T14:42:37.32003","indexId":"70156811","displayToPublicDate":"2012-11-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Expanding biological data standards development processes for US IOOS: visual line transect observing community for mammal, bird, and turtle data","docAbstract":"<p><span>The US Integrated Ocean Observing System (IOOS) has recently adopted standards for biological core variables in collaboration with the US Geological Survey/Ocean Biogeographic Information System (USGS/OBIS-USA) and other federal and non-federal partners. In this Community White Paper (CWP) we provide a process to bring into IOOS a rich new source of biological observing data, visual line transect surveys, and to establish quality data standards for visual line transect observations, an important source of at-sea bird, turtle and marine mammal observation data. The processes developed through this exercise will be useful for other similar biogeographic observing efforts, such as passive acoustic point and line transect observations, tagged animal data, and mark-recapture (photo-identification) methods. Furthermore, we suggest that the processes developed through this exercise will serve as a catalyst for broadening involvement by the larger marine biological data community within the goals and processes of IOOS.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"US Integrated Ocean Observing System Summit Community White Papers","conferenceTitle":"US Integrated Ocean Observing System Summit","conferenceDate":"November 13-16, 2012","conferenceLocation":"Herndon, Virginia","language":"English","publisher":"IOOS","usgsCitation":"Fornwall, M., Gisiner, R., Simmons, S., Moustahfid, H., Canonico, G., Halpin, P., Goldstein, P., Fitch, R., Weise, M., Cyr, N., Palka, D., Price, J., and Collins, D., 2012, Expanding biological data standards development processes for US IOOS: visual line transect observing community for mammal, bird, and turtle data, <i>in</i> US Integrated Ocean Observing System Summit Community White Papers, Herndon, Virginia, November 13-16, 2012, 5 p.","productDescription":"5 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039146","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":307684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e18631e4b05561fa206ab0","contributors":{"authors":[{"text":"Fornwall, M.","contributorId":19343,"corporation":false,"usgs":true,"family":"Fornwall","given":"M.","email":"","affiliations":[],"preferred":false,"id":570621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gisiner, R.","contributorId":147170,"corporation":false,"usgs":false,"family":"Gisiner","given":"R.","email":"","affiliations":[],"preferred":false,"id":570622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simmons, S. 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,{"id":70048542,"text":"70048542 - 2012 - Using hydrogeologic data to evaluate geothermal potential in the eastern Great Basin","interactions":[],"lastModifiedDate":"2017-09-20T13:33:11","indexId":"70048542","displayToPublicDate":"2012-11-15T15:27:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1827,"text":"Geothermal Resources Council Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Using hydrogeologic data to evaluate geothermal potential in the eastern Great Basin","docAbstract":"In support of a larger study to evaluate geothermal resource development of high-permeability stratigraphic units in sedimentary basins, this paper integrates groundwater and thermal data to evaluate heat and fluid flow within the eastern Great Basin. Previously published information from a hydrogeologic framework, a potentiometric-surface map, and groundwater budgets was compared to a surficial heat-flow map. Comparisons between regional groundwater flow patterns and surficial heat flow indicate a strong spatial relation between regional groundwater movement and surficial heat distribution. Combining aquifer geometry and heat-flow maps, a selected group of subareas within the eastern Great Basin are identified that have high surficial heat flow and are underlain by a sequence of thick basin-fill deposits and permeable carbonate aquifers. These regions may have potential for future geothermal resources development.","conferenceTitle":"Geothermal Resources Council 2012 Annual Meeting","conferenceDate":"September 30 - October 3, 2012","conferenceLocation":"Reno, NV","language":"English","publisher":"Geothermal Resources Council","publisherLocation":"Davis, CA","issn":"01935933","isbn":"0934412979","usgsCitation":"Masbruch, M.D., Heilweil, V.M., and Brooks, L.E., 2012, Using hydrogeologic data to evaluate geothermal potential in the eastern Great Basin: Geothermal Resources Council Transactions, v. 36, p. 47-52.","productDescription":"6 p.","startPage":"47","endPage":"52","ipdsId":"IP-038338","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":279120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279119,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1030209"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum 1983","country":"United States","state":"Nevada, Utah","otherGeospatial":"Great Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.43,34.49 ], [ -118.43,43.0 ], [ -109.82,43.0 ], [ -109.82,34.49 ], [ -118.43,34.49 ] ] ] } } ] }","volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5287509ee4b03b89f6f155e7","contributors":{"authors":[{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Lynette E. 0000-0002-9074-0939 lebrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-9074-0939","contributorId":2718,"corporation":false,"usgs":true,"family":"Brooks","given":"Lynette","email":"lebrooks@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040740,"text":"sim2997 - 2012 - Geologic map of the Great Smoky Mountains National Park region, Tennessee and North Carolina","interactions":[{"subject":{"id":53718,"text":"ofr03381 - 2004 - Surficial Geologic Map of the Great Smoky Mountains National Park Region, Tennessee and North Carolina","indexId":"ofr03381","publicationYear":"2004","noYear":false,"title":"Surficial Geologic Map of the Great Smoky Mountains National Park Region, Tennessee and North Carolina"},"predicate":"SUPERSEDED_BY","object":{"id":70040740,"text":"sim2997 - 2012 - Geologic map of the Great Smoky Mountains National Park region, Tennessee and North Carolina","indexId":"sim2997","publicationYear":"2012","noYear":false,"title":"Geologic map of the Great Smoky Mountains National Park region, Tennessee and North Carolina"},"id":1},{"subject":{"id":70547,"text":"ofr20041410 - 2005 - Generalized geologic map of bedrock lithologies and surficial deposits in the Great Smoky Mountains National Park region, Tennessee and North Carolina","indexId":"ofr20041410","publicationYear":"2005","noYear":false,"title":"Generalized geologic map of bedrock lithologies and surficial deposits in the Great Smoky Mountains National Park region, Tennessee and North Carolina"},"predicate":"SUPERSEDED_BY","object":{"id":70040740,"text":"sim2997 - 2012 - Geologic map of the Great Smoky Mountains National Park region, Tennessee and North Carolina","indexId":"sim2997","publicationYear":"2012","noYear":false,"title":"Geologic map of the Great Smoky Mountains National Park region, Tennessee and North Carolina"},"id":2},{"subject":{"id":72382,"text":"ofr20051225 - 2005 - Geologic map of the Great Smoky Mountains National Park region, Tennessee and North Carolina","indexId":"ofr20051225","publicationYear":"2005","noYear":false,"title":"Geologic map of the Great Smoky Mountains National Park region, Tennessee and North Carolina"},"predicate":"SUPERSEDED_BY","object":{"id":70040740,"text":"sim2997 - 2012 - Geologic map of the Great Smoky Mountains National Park region, Tennessee and North Carolina","indexId":"sim2997","publicationYear":"2012","noYear":false,"title":"Geologic map of the Great Smoky Mountains National Park region, Tennessee and North Carolina"},"id":3}],"lastModifiedDate":"2022-04-15T20:38:48.020647","indexId":"sim2997","displayToPublicDate":"2012-11-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2997","title":"Geologic map of the Great Smoky Mountains National Park region, Tennessee and North Carolina","docAbstract":"<p>The geology of the Great Smoky Mountains National Park region of Tennessee and North Carolina was studied from 1993 to 2003 as part of a cooperative investigation by the U.S. Geological Survey with the National Park Service (NPS). 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Art","contributorId":44982,"corporation":false,"usgs":true,"family":"Schultz","given":"Art","email":"","affiliations":[],"preferred":false,"id":468940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":468938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":468939,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040726,"text":"ds725 - 2012 - Micrometeorological, evapotranspiration, and soil-moisture data at the Amargosa Desert Research site in Nye County near Beatty, Nevada, 2006-11","interactions":[],"lastModifiedDate":"2026-05-13T13:30:43.81734","indexId":"ds725","displayToPublicDate":"2012-11-14T00:00:00","publicationYear":"2012","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":"725","title":"Micrometeorological, evapotranspiration, and soil-moisture data at the Amargosa Desert Research site in Nye County near Beatty, Nevada, 2006-11","docAbstract":"This report describes micrometeorological, evapotranspiration, and soil-moisture data collected since 2006 at the Amargosa Desert Research Site adjacent to a low-level radio-active waste and hazardous chemical waste facility near Beatty, Nevada. Micrometeorological data include precipitation, solar radiation, net radiation, air temperature, relative humidity, saturated and ambient vapor pressure, wind speed and direction, barometric pressure, near-surface soil temperature, soil-heat flux, and soil-water content. Evapotranspiration (ET) data include latent-heat flux, sensible-heat flux, net radiation, soil-heat flux, soil temperature, air temperature, vapor pressure, and other principal energy-budget data. Soil-moisture data include periodic measurements of volumetric water-content at experimental sites that represent vegetated native soil, devegetated native soil, and simulated waste disposal trenches - maximum measurement depths range from 5.25 to 29.25 meters. All data are compiled in electronic spreadsheets that are included with this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds725","usgsCitation":"Arthur, J.M., Johnson, M.J., Mayers, C.J., and Andraski, B.J., 2012, Micrometeorological, evapotranspiration, and soil-moisture data at the Amargosa Desert Research site in Nye County near Beatty, Nevada, 2006–11: U.S. Geological Survey Data Series 725, 12 p.","productDescription":"Report: iv, 12 p.; Appendixes: A-G","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":354739,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixd.xlsx","text":"Appendix D","size":"170 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 725 Appendix D"},{"id":354738,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixc.xlsx","text":"Appendix C","size":"8.9 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 725 Appendix C"},{"id":504281,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_97720.htm","linkFileType":{"id":5,"text":"html"}},{"id":354737,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixb.xlsx","text":"Appendix B","size":"395 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 725 Appendix B"},{"id":354733,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/725/coverthb.jpg"},{"id":354742,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixg.xlsx","text":"Appendix G","size":"142 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 725 Appendix G"},{"id":354734,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/725/pdf/ds725.pdf","text":"Report","size":"566 KB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 725"},{"id":354735,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/725/appendixUpdates.txt","text":"Appendix updates","description":"DS 725 Appendix Updates"},{"id":354740,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixe.xlsx","text":"Appendix E","size":"27.6 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 725 Appendix E"},{"id":354741,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixf.xlsx","text":"Appendix F","size":"79 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 725 Appendix F"},{"id":354736,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/725/data/ds725_appendixa.xlsx","text":"Appendix A","size":"17 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 725 Appendix A"}],"country":"United States","state":"Nevada","county":"Nye County","city":"Beatty","otherGeospatial":"Amargosa Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.0,36.5 ], [ -117.0,37.0 ], [ -116.5,37.0 ], [ -116.5,36.5 ], [ -117.0,36.5 ] ] ] } } ] }","edition":"Version 1.0: November 2012; Version 1.1: March 2015; Version 1.2: June 2018","contact":"<p><a href=\"mailto:dc_nv@usgs.gov\" data-mce-href=\"mailto:dc_nv@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/nv-water\" target=\"blank\" data-mce-href=\"https://www.usgs.gov/centers/nv-water\">Nevada Water Science Center</a><br> U.S. Geological Survey<br> 2730 N. Deer Run Rd.<br> Carson City, Nevada 89701</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Site Description<br></li><li>Methods and Instrumentation<br></li><li>Micrometeorological Data<br></li><li>Evapotranspiration Data<br></li><li>Soil-Moisture Data<br></li><li>References Cited<br></li><li>Appendixes A–G<br></li></ul>","publishedDate":"2012-11-13","revisedDate":"2018-06-05","noUsgsAuthors":false,"publicationDate":"2012-11-13","publicationStatus":"PW","scienceBaseUri":"50a4bd7ce4b0fd76c78323c4","contributors":{"authors":[{"text":"Arthur, Jonathan M.","contributorId":85844,"corporation":false,"usgs":true,"family":"Arthur","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Michael J. johnsonm@usgs.gov","contributorId":2282,"corporation":false,"usgs":true,"family":"Johnson","given":"Michael","email":"johnsonm@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":468883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayers, C. Justin cjmayers@usgs.gov","contributorId":94745,"corporation":false,"usgs":true,"family":"Mayers","given":"C.","email":"cjmayers@usgs.gov","middleInitial":"Justin","affiliations":[],"preferred":false,"id":468885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":468882,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040735,"text":"fs20123118 - 2012 - Science to support the understanding of Ohio's water resources","interactions":[],"lastModifiedDate":"2012-11-14T16:18:55","indexId":"fs20123118","displayToPublicDate":"2012-11-14T00:00:00","publicationYear":"2012","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":"2012-3118","title":"Science to support the understanding of Ohio's water resources","docAbstract":"Ohio’s water resources support a complex web of human activities and nature—clean and abundant water is needed for drinking, recreation, farming, and industry, as well as for fish and wildlife needs. The distribution of rainfall can cause floods and droughts, which affects streamflow, groundwater, water availability, water quality, recreation, and aquatic habitats. Ohio is bordered by the Ohio River and Lake Erie and has over 44,000 miles of streams and more than 60,000 lakes and ponds (State of Ohio, 1994). Nearly all the rural population obtain drinking water from groundwater sources.\n\nThe U.S. Geological Survey (USGS) works in cooperation with local, State, and other Federal agencies, as well as universities, to furnish decisionmakers, policymakers, USGS scientists, and the general public with reliable scientific information and tools to assist them in management, stewardship, and use of Ohio’s natural resources. The diversity of scientific expertise among USGS personnel enables them to carry out large- and small-scale multidisciplinary studies. The USGS is unique among government organizations because it has neither regulatory nor developmental authority—its sole product is reliable, impartial, credible, relevant, and timely scientific information, equally accessible and available to everyone. The USGS Ohio Water Science Center provides reliable hydrologic and water-related ecological information to aid in the understanding of use and management of the Nation’s water resources, in general, and Ohio’s water resources, in particular. This fact sheet provides an overview of current (2012) or recently completed USGS studies and data activities pertaining to water resources in Ohio. More information regarding projects of the USGS Ohio Water Science Center is available at http://oh.water.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123118","usgsCitation":"Shaffer, K., Kula, S., Bambach, P., and Runkle, D., 2012, Science to support the understanding of Ohio's water resources: U.S. Geological Survey Fact Sheet 2012-3118, 6 p.; maps (col.), https://doi.org/10.3133/fs20123118.","productDescription":"6 p.; maps (col.)","startPage":"1","endPage":"6","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":263164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3118.jpg"},{"id":263162,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3118/"},{"id":263163,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3118/pdf/fs2012-3118_web.pdf"}],"country":"United States","state":"Ohio","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.8203,38.4034 ], [ -84.8203,41.9773 ], [ -84.5182,41.9773 ], [ -84.5182,38.4034 ], [ -84.8203,38.4034 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a4bd85e4b0fd76c78323ce","contributors":{"authors":[{"text":"Shaffer, Kimberly kshaffer@usgs.gov","contributorId":1589,"corporation":false,"usgs":true,"family":"Shaffer","given":"Kimberly","email":"kshaffer@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kula, Stephanie","contributorId":11893,"corporation":false,"usgs":true,"family":"Kula","given":"Stephanie","affiliations":[],"preferred":false,"id":468926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bambach, Phil","contributorId":24642,"corporation":false,"usgs":true,"family":"Bambach","given":"Phil","email":"","affiliations":[],"preferred":false,"id":468927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runkle, Donna","contributorId":51317,"corporation":false,"usgs":true,"family":"Runkle","given":"Donna","affiliations":[],"preferred":false,"id":468928,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040706,"text":"sir20125183 - 2012 - Conceptual and numerical models of the glacial aquifer system north of Aberdeen, South Dakota","interactions":[],"lastModifiedDate":"2017-10-14T11:24:59","indexId":"sir20125183","displayToPublicDate":"2012-11-13T00:00:00","publicationYear":"2012","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":"2012-5183","title":"Conceptual and numerical models of the glacial aquifer system north of Aberdeen, South Dakota","docAbstract":"This U.S. Geological Survey report documents a conceptual and numerical model of the glacial aquifer system north of Aberdeen, South Dakota, that can be used to evaluate and manage the city of Aberdeen's water resources. The glacial aquifer system in the model area includes the Elm, Middle James, and Deep James aquifers, with intervening confining units composed of glacial till. The Elm aquifer ranged in thickness from less than 1 to about 95 feet (ft), with an average thickness of about 24 ft; the Middle James aquifer ranged in thickness from less than 1 to 91 ft, with an average thickness of 13 ft; and the Deep James aquifer ranged in thickness from less than 1 to 165 ft, with an average thickness of 23 ft. The confining units between the aquifers consisted of glacial till and ranged in thickness from 0 to 280 ft. The general direction of groundwater flow in the Elm aquifer in the model area was from northwest to southeast following the topography. Groundwater flow in the Middle James aquifer was to the southeast. Sparse data indicated a fairly flat potentiometric surface for the Deep James aquifer. Horizontal hydraulic conductivity for the Elm aquifer determined from aquifer tests ranged from 97 to 418 feet per day (ft/d), and a confined storage coefficient was determined to be 2.4x10<sup>-5</sup>. Estimates of the vertical hydraulic conductivity of the sediments separating the Elm River from the Elm aquifer, determined from the analysis of temperature gradients, ranged from 0.14 to 2.48 ft/d. Average annual precipitation in the model area was 19.6 inches per year (in/yr), and agriculture was the primary land use. Recharge to the Elm aquifer was by infiltration of precipitation through overlying outwash, lake sediments, and glacial till. The annual recharge for the model area, calculated by using a soil-water-balance method for water year (WY) 1975-2009, ranged from 0.028 inch in WY 1980 to 4.52 inches in WY 1986, with a mean of 1.56 inches. The annual potential evapotranspiration, calculated in soil-water-balance analysis, ranged from 21.8 inches in WY 1983 to 27.0 inches in WY 1985, with a mean of 24.6 inches. Water use from the glacial aquifer system primarily was from the Elm aquifer for irrigation, municipal, and suburban water supplies, and the annual rate ranged from 1.0 to 2.4 cubic feet per second (ft<sup>3</sup>/s). The MODFLOW-2005 numerical model represented the Elm aquifer, the Middle James aquifer, and the Deep James aquifer with model layers 1-3 respectively separated by confining layers 1-2 respectively. Groundwater flow was simulated with 75 stress periods beginning October 1, 1974, and ending September 30, 2009. Model grid spacing was 200 by 200 ft and boundaries were represented by specified-head boundaries and no-flow boundaries. The model used parameter estimation that focused on minimizing the difference between 954 observed and simulated hydraulic heads for 135 wells. Calibrated mean horizontal hydraulic conductivity values for model layers 1-3 were 94, 41, and 30 ft/d respectively. Vertical hydraulic conductivity values for confining layers 1 and 2 were 0.0002 and 0.0003 ft/d, respectively. Calibrated specific yield for model layer 1was 0.1 and specific storage ranged from 0.0003 to 0.0005 per foot. Calibrated mean recharge rates ranged from 2.5 in/yr where glacial till thickness was less than 10 ft to 0.8 in/yr where glacial till thickness was greater than 30 ft. Calibrated mean annual evapotranspiration rate was 8.8 in/yr. Simulated net streamflow gain from model layer 1 was 3.1 ft<sup>3</sup>/s.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125183","collaboration":"Prepared in cooperation with the city of Aberdeen","usgsCitation":"Marini, K.A., Hoogestraat, G., Aurand, K.R., and Putnam, L.D., 2012, Conceptual and numerical models of the glacial aquifer system north of Aberdeen, South Dakota: U.S. Geological Survey Scientific Investigations Report 2012-5183, x, 98 p., https://doi.org/10.3133/sir20125183.","productDescription":"x, 98 p.","numberOfPages":"112","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":263092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5183.gif"},{"id":263090,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5183/"},{"id":263091,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5183/sir2012-5183.pdf"}],"scale":"100000","projection":"Universal Transverse Mercator projection, Zone 14 North","country":"United States","state":"South Dakota","city":"Aberdeen","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.67,45.583 ], [ -98.67,45.25 ], [ -98.17,45.25 ], [ -98.17,45.583 ], [ -98.67,45.583 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a3b9c0e4b0855e233c0702","contributors":{"authors":[{"text":"Marini, Katrina A.","contributorId":90181,"corporation":false,"usgs":true,"family":"Marini","given":"Katrina","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoogestraat, Galen K.","contributorId":22442,"corporation":false,"usgs":true,"family":"Hoogestraat","given":"Galen K.","affiliations":[],"preferred":false,"id":468840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aurand, Katherine R. kaurand@usgs.gov","contributorId":2713,"corporation":false,"usgs":true,"family":"Aurand","given":"Katherine","email":"kaurand@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":468839,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Putnam, Larry D. ldputnam@usgs.gov","contributorId":990,"corporation":false,"usgs":true,"family":"Putnam","given":"Larry","email":"ldputnam@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":468838,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040686,"text":"70040686 - 2012 - Evaluating the predictive abilities of community occupancy models using AUC while accounting for imperfect detection","interactions":[],"lastModifiedDate":"2012-11-13T12:22:11","indexId":"70040686","displayToPublicDate":"2012-11-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the predictive abilities of community occupancy models using AUC while accounting for imperfect detection","docAbstract":"The ability to accurately predict patterns of species' occurrences is fundamental to the successful management of animal communities.  To determine optimal management strategies, it is essential to understand species-habitat relationships and how species habitat use is related to natural or human-induced environmental changes.  Using five years of monitoring data in the Chesapeake and Ohio Canal National Historical Park, Maryland, USA, we developed four multi-species hierarchical models for estimating amphibian wetland use that account for imperfect detection during sampling. The models were designed to determine which factors (wetland habitat characteristics, annual trend effects, spring/summer precipitation, and previous wetland occupancy) were most important for predicting future habitat use. We used the models to make predictions of species occurrences in sampled and unsampled wetlands and evaluated model projections using additional data.  Using a Bayesian approach, we calculated a posterior distribution of receiver operating characteristic area under the curve (ROC AUC) values, which allowed us to explicitly quantify the uncertainty in the quality of our predictions and to account for false negatives in the evaluation dataset.  We found that wetland hydroperiod (the length of time that a wetland holds water) as well as the occurrence state in the prior year were generally the most important factors in determining occupancy.  The model with only habitat covariates predicted species occurrences well; however, knowledge of wetland use in the previous year significantly improved predictive ability at the community level and for two of 12 species/species complexes.  Our results demonstrate the utility of multi-species models for understanding which factors affect species habitat use of an entire community (of species) and provide an improved methodology using AUC that is helpful for quantifying the uncertainty in model predictions while explicitly accounting for detection biases.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/11-1936.1","usgsCitation":"Zipkin, E., Grant, E., and Fagan, W., 2012, Evaluating the predictive abilities of community occupancy models using AUC while accounting for imperfect detection: Ecological Applications, v. 22, no. 7, p. 1962-1972, https://doi.org/10.1890/11-1936.1.","productDescription":"11 p.","startPage":"1962","endPage":"1972","numberOfPages":"11","ipdsId":"IP-033849","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":263097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263096,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1936.1"}],"volume":"22","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a3b9c8e4b0855e233c070a","contributors":{"authors":[{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":468789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Evan H. Campbell","contributorId":14686,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","affiliations":[],"preferred":false,"id":468788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagan, William F.","contributorId":108239,"corporation":false,"usgs":true,"family":"Fagan","given":"William F.","affiliations":[],"preferred":false,"id":468790,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040687,"text":"70040687 - 2012 - Joint estimation of habitat dynamics and species interactions: Disturbance reduces co-occurrence of non-native predators with an endangered toad","interactions":[],"lastModifiedDate":"2016-09-26T14:37:41","indexId":"70040687","displayToPublicDate":"2012-11-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Joint estimation of habitat dynamics and species interactions: Disturbance reduces co-occurrence of non-native predators with an endangered toad","docAbstract":"<p><strong>1.</strong> Ecologists have long been interested in the processes that determine patterns of species occurrence and co-occurrence. Potential short-comings of many existing empirical approaches that address these questions include a reliance on patterns of occurrence at a single time point, failure to account properly for imperfect detection and treating the environment as a static variable.</p><p><strong>2.</strong> We fit detection and non-detection data collected from repeat visits using a dynamic site occupancy model that simultaneously accounts for the temporal dynamics of a focal prey species, its predators and its habitat. Our objective was to determine how disturbance and species interactions affect the co-occurrence probabilities of an endangered toad and recently introduced non-native predators in stream breeding habitats. For this, we determined statistical support for alternative processes that could affect co-occurrence frequency in the system.</p><p><strong>3.</strong> We collected occurrence data at stream segments in two watersheds where streams were largely ephemeral and one watershed dominated by perennial streams. Co-occurrence probabilities of toads with non-native predators were related to disturbance frequency, with low co-occurrence in the ephemeral watershed and high co-occurrence in the perennial watershed. This occurred because once predators were established at a site, they were rarely lost from the site except in cases when the site dried out. Once dry sites became suitable again, toads colonized them much more rapidly than predators, creating a period of predator-free space.</p><p><strong>4.</strong> We attribute the dynamics to a storage effect, where toads persisting outside the stream environment during periods of drought rapidly colonized sites when they become suitable again. Our results support that even in highly connected stream networks, temporal disturbance can structure frequencies with which breeding amphibians encounter non-native predators.</p><p><strong>5.</strong> Dynamic multi-state occupancy models are a powerful tool for rigorously examining hypotheses about inter-species and species–habitat interactions. In contrast to previous methods that infer dynamic processes based on static patterns in occupancy, the approach we took allows the dynamic processes that determine species–species and species–habitat interactions to be directly estimated.</p>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1365-2656.2012.02001.x","usgsCitation":"Miller, D., Brehme, C.S., Hines, J., Nichols, J., and Fisher, R.N., 2012, Joint estimation of habitat dynamics and species interactions: Disturbance reduces co-occurrence of non-native predators with an endangered toad: Journal of Animal Ecology, v. 81, no. 6, p. 1288-1297, https://doi.org/10.1111/j.1365-2656.2012.02001.x.","productDescription":"10 p.","startPage":"1288","endPage":"1297","numberOfPages":"10","ipdsId":"IP-029983","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474270,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2656.2012.02001.x","text":"Publisher Index Page"},{"id":263103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263102,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2656.2012.02001.x"}],"volume":"81","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-06-15","publicationStatus":"PW","scienceBaseUri":"50a3b9d8e4b0855e233c0716","contributors":{"authors":[{"text":"Miller, David A.W.","contributorId":19423,"corporation":false,"usgs":true,"family":"Miller","given":"David A.W.","affiliations":[],"preferred":false,"id":468795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":468793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":468794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":468791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":468792,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040704,"text":"tm5B9 - 2012 - Determination of steroid hormones and related compounds in filtered and unfiltered water by solid-phase extraction, derivatization, and gas chromatography with tandem mass spectrometry","interactions":[],"lastModifiedDate":"2018-08-15T14:56:07","indexId":"tm5B9","displayToPublicDate":"2012-11-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"5-B9","title":"Determination of steroid hormones and related compounds in filtered and unfiltered water by solid-phase extraction, derivatization, and gas chromatography with tandem mass spectrometry","docAbstract":"A new analytical method has been developed and implemented at the U.S. Geological Survey National Water Quality Laboratory that determines a suite of 20 steroid hormones and related compounds in filtered water (using laboratory schedule 2434) and in unfiltered water (using laboratory schedule 4434). This report documents the procedures and initial performance data for the method and provides guidance on application of the method and considerations of data quality in relation to data interpretation. The analytical method determines 6 natural and 3 synthetic estrogen compounds, 6 natural androgens, 1 natural and 1 synthetic progestin compound, and 2 sterols: cholesterol and 3--coprostanol. These two sterols have limited biological activity but typically are abundant in wastewater effluents and serve as useful tracers. Bisphenol A, an industrial chemical used primarily to produce polycarbonate plastic and epoxy resins and that has been shown to have estrogenic activity, also is determined by the method.\n\nA technique referred to as isotope-dilution quantification is used to improve quantitative accuracy by accounting for sample-specific procedural losses in the determined analyte concentration. Briefly, deuterium- or carbon-13-labeled isotope-dilution standards (IDSs), all of which are direct or chemically similar isotopic analogs of the method analytes, are added to all environmental and quality-control and quality-assurance samples before extraction. Method analytes and IDS compounds are isolated from filtered or unfiltered water by solid-phase extraction onto an octadecylsilyl disk, overlain with a graded glass-fiber filter to facilitate extraction of unfiltered sample matrices. The disks are eluted with methanol, and the extract is evaporated to dryness, reconstituted in solvent, passed through a Florisil solid-phase extraction column to remove polar organic interferences, and again evaporated to dryness in a reaction vial. The method compounds are reacted with activated -methyl--trimethylsilyl trifluoroacetamide at 65 degrees Celsius for 1 hour to form trimethylsilyl or trimethylsilyl-enol ether derivatives that are more amenable to gas chromatographic separation than the underivatized compounds. Analysis is carried out by gas chromatography with tandem mass spectrometry using calibration standards that are derivatized concurrently with the sample extracts.\n\nAnalyte concentrations are quantified relative to specific IDS compounds in the sample, which directly compensate for procedural losses (incomplete recovery) in the determined and reported analyte concentrations. Thus, reported analyte concentrations (or analyte recoveries for spiked samples) are corrected based on recovery of the corresponding IDS compound during the quantification process. Recovery for each IDS compound is reported for each sample and represents an absolute recovery in a manner comparable to surrogate recoveries for other organic methods used by the National Water Quality Laboratory. Thus, IDS recoveries provide a useful tool for evaluating sample-specific analytical performance from an absolute mass recovery standpoint. IDS absolute recovery will differ and typically be lower than the corresponding analyte’s method recovery in spiked samples. However, additional correction of reported analyte concentrations is unnecessary and inappropriate because the analyte concentration (or recovery) already is compensated for by the isotope-dilution quantification procedure.\n\nMethod analytes were spiked at 10 and 100 nanograms per liter (ng/L) for most analytes (10 times greater spike levels were used for bisphenol A and 100 times greater spike levels were used for 3--coprostanol and cholesterol) into the following validation-sample matrices: reagent water, wastewater-affected surface water, a secondary-treated wastewater effluent, and a primary (no biological treatment) wastewater effluent. Overall method recovery for all analytes in these matrices averaged 100 percent, with overall relative standard deviation of 28 percent. Mean recoveries of the 20 individual analytes for spiked reagent-water samples prepared along with field samples and analyzed in 2009–2010 ranged from 84–104 percent, with relative standard deviations of 6–36 percent. Concentrations for two analytes, equilin and progesterone, are reported as estimated because these analytes had excessive bias or variability, or both. Additional database coding is applied to other reported analyte data as needed, based on sample-specific IDS recovery performance.\n\nDetection levels were derived statistically by fortifying reagent water at six different levels (0.1 to 4 ng/L) and range from about 0.4 to 4 ng/L for 16 analytes. Interim reporting levels applied to analytes in this report range from 0.8 to 8 ng/L. Bisphenol A and the sterols (cholesterol and 3-beta-coprostanol) were consistently detected in laboratory and field blanks. The minimum reporting levels were set at 100 ng/L for bisphenol A and at 200 ng/L for the two sterols to prevent any bias associated with the presence of these compounds in the blanks. A minimum reporting level of 2 ng/L was set for 11-ketotestosterone to minimize false positive risk from an interfering siloxane compound emanating as chromatographic-column bleed, from vial septum material, or from other sources at no more than 1 ng/L.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm5B9","collaboration":"Book 5, Chapter B9 of U.S. Geological Survey Techniques and Methods","usgsCitation":"Foreman, W., Gray, J.L., ReVello, R., Lindley, C.E., Losche, S.A., and Barber, L.B., 2012, Determination of steroid hormones and related compounds in filtered and unfiltered water by solid-phase extraction, derivatization, and gas chromatography with tandem mass spectrometry: U.S. Geological Survey Techniques and Methods 5-B9, x, 118 p.; ill., https://doi.org/10.3133/tm5B9.","productDescription":"x, 118 p.; ill.","startPage":"i","endPage":"118","numberOfPages":"131","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":263112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_5_B9.gif"},{"id":263089,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/5b9/TM5-B9.pdf"},{"id":263088,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/5b9/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a3b9c4e4b0855e233c0706","contributors":{"authors":[{"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":468831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":468830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"ReVello, Rhiannon C. rcrevell@usgs.gov","contributorId":4128,"corporation":false,"usgs":true,"family":"ReVello","given":"Rhiannon C.","email":"rcrevell@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468833,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindley, Chris E. clindley@usgs.gov","contributorId":2337,"corporation":false,"usgs":true,"family":"Lindley","given":"Chris","email":"clindley@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":468832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Losche, Scott A. salosche@usgs.gov","contributorId":4694,"corporation":false,"usgs":true,"family":"Losche","given":"Scott","email":"salosche@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":468834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":468829,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70040691,"text":"sir20125240 - 2012 - Concentrations, loads, and yields of select constituents from major tributaries of the Mississippi and Missouri Rivers in Iowa, water years 2004-2008","interactions":[],"lastModifiedDate":"2012-11-09T09:11:28","indexId":"sir20125240","displayToPublicDate":"2012-11-09T00:00:00","publicationYear":"2012","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":"2012-5240","title":"Concentrations, loads, and yields of select constituents from major tributaries of the Mississippi and Missouri Rivers in Iowa, water years 2004-2008","docAbstract":"Excess nutrients, suspended-sediment loads, and the presence of pesticides in Iowa rivers can have deleterious effects on water quality in State streams, downstream major rivers, and the Gulf of Mexico. Fertilizer and pesticides are used to support crop growth on Iowa's highly productive agricultural landscape and for household and commercial lawns and gardens. Water quality was characterized near the mouths of 10 major Iowa tributaries to the Mississippi and Missouri Rivers from March 2004 through September 2008. Stream loads were calculated for select ions, nutrients, and sediment using approximately monthly samples, and samples from storm and snowmelt events. Water-quality samples collected using standard streamflow-integrated protocols were analyzed for major ions, nutrients, carbon, pesticides, and suspended sediment. Statistical data summaries of sample data used parametric and nonparametric techniques to address potential bias related to censored data and multiple levels of censoring of data below analytical detection limits. Constituent stream loads were computed using standard pre-defined models in S-LOADEST that include streamflow and time terms plus additional terms for streamflow variability and streamflow anomalies. Streamflow variability terms describe the difference in streamflow from recent average conditions, whereas streamflow anomaly terms account for deviations from average conditions from long- to short-term sequentially. Streamflow variability or anomaly terms were included in 44 of 80 site/constituent individual models, demonstrating the usefulness of these terms in increasing accuracy of the load estimates. Constituent concentrations in Iowa streams exhibit streamflow, seasonal, and spatial patterns related to the landform and climate gradients across the studied basins. The streamflow-concentration relation indicated dilution for ions such as chloride and sulfate. Other constituent concentrations, such as dissolved organic carbon and suspended sediment, increased with streamflow. Nitrogen concentrations (total nitrogen and nitrate plus nitrite) increased with low and moderate streamflows, but decreased with high streamflows. Seasonal patterns observed in constituent concentrations were affected by streamflow, algae blooms, and pesticide application. The various landform regions produced different water-quality responses across the study basins; for example, total phosphorus, suspended sediment, and turbidity were greatest from the steep, loess-dominated southwestern Iowa basins. Nutrient concentrations, though not regulated for drinking water at the study sites, were high compared to drinking-water limits and criteria for protection of aquatic life proposed for other Midwestern states (Iowa criteria for aquatic life have not been proposed). Nitrate plus nitrite concentrations exceeded the drinking-water limit [10 milligrams per liter (mg/L)] in 11 percent of all samples at the 10 sites, and exceeded Minnesota's proposed aquatic life criteria (4.9 mg/L) in 68 percent of samples. The Wisconsin standard for total phosphorus (0.1 mg/L) was exceeded in 92 percent of samples. Ammonia standards, current during sample collection and at publication of this report, for protection of aquatic life were met for all samples, but draft criteria proposed in 2009 to protect more sensitive species like mussels, were exceeded at three sites. Loads and yields also differed among sites and years. The Big Sioux, Little Sioux, and Des Moines Rivers produced the greatest sulfate yields. Mississippi River tributaries had greater chloride yields than Missouri River tributaries. The Big Sioux River also had the lowest silica yields and total nitrogen and nitrate yields, whereas nitrogen yields were greater in the northeastern rivers. The Boyer and Nishnabotna River total phosphorus yields were the greatest in the study. The Boyer River orthophosphate yields were greatest except in 2008, when the Maquoketa River produced the greatest yield. Rivers in southwestern Iowa's Western Loess Hills and Steeply Rolling Loess Prairie ecoregions had the greatest suspended-sediment yields, whereas the smallest yields were in the Big Sioux and Wapsipinicon Rivers. In the 10 Iowa rivers studied, combined annual total nitrogen stream transport ranged from 3.68 to 9.95 tons per square mile per year, and total phosphorus transport ranged from 0.138 to 0.570 tons per square mile per year. Six-month loads relative to fertilizer use ranged from 8 to 56 percent for nitrogen, and 1.0 to 11.1 percent for phosphorus. The smallest loads relative to fertilizer use for both nitrogen and phosphorus occurred in July-December of dry years, and the largest nitrogen and phosphorus loads relative to use were in wet years from January-June.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125240","collaboration":"In cooperation with the Iowa Department of Natural Resources","usgsCitation":"Garrett, J.D., 2012, Concentrations, loads, and yields of select constituents from major tributaries of the Mississippi and Missouri Rivers in Iowa, water years 2004-2008: U.S. Geological Survey Scientific Investigations Report 2012-5240, vi, 61 p., https://doi.org/10.3133/sir20125240.","productDescription":"vi, 61 p.","numberOfPages":"72","onlineOnly":"Y","ipdsId":"IP-016631","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":263043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5240.gif"},{"id":263042,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5240/sir2012-5240.pdf"},{"id":263039,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5240/"}],"projection":"Albers Equal-area Conic projection","country":"United States","state":"Iowa;Minnesota;South Dakota","otherGeospatial":"Mississippi River;Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.0,40.0 ], [ -97.0,46.0 ], [ -85.0,46.0 ], [ -85.0,40.0 ], [ -97.0,40.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509e25f3e4b0cbd9af3af701","contributors":{"authors":[{"text":"Garrett, Jessica D. 0000-0002-4466-3709 jgarrett@usgs.gov","orcid":"https://orcid.org/0000-0002-4466-3709","contributorId":4229,"corporation":false,"usgs":true,"family":"Garrett","given":"Jessica","email":"jgarrett@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468799,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040699,"text":"ds727 - 2012 - Digital recovery of 19th century surveys in Tampa Bay, Florida: Topographic charts and Public Land Surveys","interactions":[],"lastModifiedDate":"2017-05-30T11:19:37","indexId":"ds727","displayToPublicDate":"2012-11-09T00:00:00","publicationYear":"2012","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":"727","title":"Digital recovery of 19th century surveys in Tampa Bay, Florida: Topographic charts and Public Land Surveys","docAbstract":"Recovery of historic data to a digital setting adresses the need for data integration through time, bridging technical gaps and differences. The goal of this study was to evaluate a marsh-to-mangrove conversion spanning 125 years and the implications for present coastal-resource management (Yates and others, 2011; Raabe and others, 2012). The U.S. Geological Survey in St. Petersburg, Fla., georectified and digitized 1870s T-sheets at four Tampa Bay locations that still supported coastal wetlands in 2000 (table 1). Nineteenth century Public Land Surveys of Township and Range lines were also digitized for each site, as a secondary data source to verify historic landscape features (table 2).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds727","collaboration":"For CD-ROM ordering information see: <a href=\"http://pubs.usgs.gov/ds/727/\" target=\"_blank\">DS 727</a>.","usgsCitation":"Raabe, E.A., Roy, L.C., McIvor, C.C., and Gleim, A.D., 2012, Digital recovery of 19th century surveys in Tampa Bay, Florida: Topographic charts and Public Land Surveys: U.S. Geological Survey Data Series 727, HTML Document; Methods; Data; Metadata; CD-ROM, https://doi.org/10.3133/ds727.","productDescription":"HTML Document; Methods; Data; Metadata; CD-ROM","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":263082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_727.jpg"},{"id":263079,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/727/html/methods.html","text":"Methods","linkFileType":{"id":5,"text":"html"}},{"id":263080,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/727/html/metadata.html","linkFileType":{"id":5,"text":"html"}},{"id":263081,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/727/html/data.html","text":"Data","linkFileType":{"id":5,"text":"html"}},{"id":263078,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/727/index.htm"}],"country":"United States","state":"Florida","city":"Tampa Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.7556,27.5209 ], [ -82.7556,27.8382 ], [ -82.4495,27.8382 ], [ -82.4495,27.5209 ], [ -82.7556,27.5209 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509e25fce4b0cbd9af3af709","contributors":{"authors":[{"text":"Raabe, Ellen A. eraabe@usgs.gov","contributorId":2125,"corporation":false,"usgs":true,"family":"Raabe","given":"Ellen","email":"eraabe@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":468817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Laura C.","contributorId":54454,"corporation":false,"usgs":true,"family":"Roy","given":"Laura","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":468819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McIvor, Carole C.","contributorId":73254,"corporation":false,"usgs":true,"family":"McIvor","given":"Carole","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":468820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gleim, Andrew D.","contributorId":47255,"corporation":false,"usgs":true,"family":"Gleim","given":"Andrew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":468818,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040698,"text":"sir20125187 - 2012 - Simulated effects of alternative withdrawal strategies on groundwater flow in the unconfined Kirkwood-Cohansey aquifer system, the Rio Grande water-bearing zone, and the Atlantic City 800-foot sand in the Great Egg Harbor and Mullica River Basins, New Jersey","interactions":[],"lastModifiedDate":"2019-02-21T10:44:00","indexId":"sir20125187","displayToPublicDate":"2012-11-09T00:00:00","publicationYear":"2012","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":"2012-5187","title":"Simulated effects of alternative withdrawal strategies on groundwater flow in the unconfined Kirkwood-Cohansey aquifer system, the Rio Grande water-bearing zone, and the Atlantic City 800-foot sand in the Great Egg Harbor and Mullica River Basins, New Jersey","docAbstract":"Groundwater is essential for water supply and plays a critical role in maintaining the environmental health of freshwater and estuarine ecosystems in the Atlantic Coastal basins of New Jersey. The unconfined Kirkwood-Cohansey aquifer system and the confined Atlantic City 800-foot sand are major sources of groundwater in the area, and each faces different water-supply concerns. The U.S. Geological Survey (USGS), in cooperation with the New Jersey Department of Environmental Protection (NJDEP), conducted a study to simulate the effects of withdrawals in the Kirkwood-Cohansey aquifer system, the Atlantic City 800-foot sand, and the Rio Grande water-bearing zone and to evaluate potential scenarios. The study area encompasses Atlantic County and parts of Burlington, Camden, Gloucester, Ocean, Cape May, and Cumberland Counties. The major hydrogeologic units affecting water supply in the study area are the surficial Kirkwood-Cohansey aquifer system, a thick diatomaceous clay confining unit in the upper part of Kirkwood Formation; the Rio Grande water-bearing zone; and the Atlantic City 800-foot sand of the Kirkwood Formation. Hydrogeologic data from 18 aquifer tests and specific capacity data from 230 wells were analyzed to provide horizontal hydraulic conductivity of the aquifers. Groundwater withdrawals are greatest from the Kirkwood-Cohansey aquifer system, and 65 percent of the water is used for public supply. Groundwater withdrawals from the Atlantic City 800-foot sand are about half those from the Kirkwood-Cohansey aquifer system. Ninety-five percent of the withdrawals from the Atlantic City 800-foot sand is used for public supply. Data from six streamgaging stations and 51 low-flow partial record sites were used to estimate base flow in the area. Base flow ranges from 60 to 92 percent of streamflow. A groundwater flow model of the Kirkwood-Cohansey aquifer system, the Rio Grande water-bearing zone, and the Atlantic City 800-foot sand was developed and calibrated using water-level data from 148 wells and base-flow data from 22 gaging or low-flow partial record stations. The Kirkwood-Cohansey aquifer system within the Great Egg Harbor River and the Mullica River Basins was simulated on a monthly basis from 1998 through 2006. An existing regional model of the New Jersey Coastal Plain was revised to provide boundary conditions for the Great Egg Harbor and Mullica River Basin model (referred to as the Great Egg-Mullica model). In the Great Egg-Mullica model, monthly groundwater recharge rates used in the model ranged from 10-15 inches per year in 2001 to 20-25 inches per year in 2005. The mean-absolute error for 10 of the 14 long-term hydrographs used in model calibration was less than 5 ft. Groundwater flow budgets for the Great Egg-Mullica model calibration periods, May 2005 and September 2006, and for the entire model calibration period 1998 to 2006, showed that nearly 70 percent of the water entering the Atlantic City 800-foot sand came from the horizontal connection with the Kirkwood-Cohansey aquifer system in updip areas. The groundwater flow model was used to simulate scenarios under three possible conditions: average 1998 to 2006 withdrawals (Average scenario), full-allocation withdrawals (Full Allocation scenario), and projected 2050-demand withdrawals (2050 Demand scenario). Withdrawals in the Full Allocation scenario are nearly twice the withdrawals from the Average scenario, primarily because of the potential for large agricultural withdrawals if all allocations are used. Withdrawals for the 2050 Demand scenario are about 50 percent greater than those for the Average scenario, primarily due to expected increases in withdrawals for public supply. Monthly base-flow depletion criteria were determined using the Low-Flow Margin method, currently under consideration by NJDEP, to estimate available water on an annual basis at the Hydrologic Unit Code 11 (HUC11) level and to determine whether a water-supply deficit exists. Simulations of various groundwater-withdrawal scenarios were made using the calibrated model, and results were compared with baseline conditions (no withdrawals) to determine where and when base-flow deficits may be occurring and may be expected to occur in the future. Scenarios were simulated to assess base-flow depletion that could occur from different groundwater-withdrawal situations. In the Average scenario, deficits occurred in 7 of the 14 subbasins. In the Full Allocation scenario, deficits occurred in 11 of the subbasins. In the 2050 Demand scenario, deficits occurred in 9 of the 14 subbasins. The largest deficits occurred in the Absecon Creek subbasin because the base-flow depletion criteria for this subbasin is small due to the surface-water diversions that are already occurring there and because existing groundwater withdrawals in the subbasin have resulted in base-flow depletion under current (1998-2006) conditions. Three adjusted scenarios, variations of the Average, Full Allocation, and 2050 Demand scenarios, were simulated; for the adjusted scenarios, the withdrawals were modified in stages with the intent to successively eliminate or minimize the base-flow deficits. Modifications included shifting withdrawals to a deeper part of the Kirkwood-Cohansey aquifer system, implementing seasonal conjunctive use of shallow and deep aquifers, and specifying reductions in withdrawals within a HUC11 subbasin in deficit. The adjusted scenarios are intended to show the relative effectiveness of each of the three approaches in reducing the deficits. Most of the deficits under the Average, Full Allocation, and 2050 Demand scenarios were eliminated by reductions in withdrawals or allocations. Shifting withdrawals to a deeper part of the Kirkwood-Cohansey aquifer system or seasonal conjunctive use did not eliminate deficits for any subbasin. Reductions in withdrawals accounted for more than 95 percent of the total reduction of deficits in all but one subbasin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125187","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Pope, D.A., Carleton, G.B., Buxton, D.E., Walker, R.L., Shourds, J.L., and Reilly, P.A., 2012, Simulated effects of alternative withdrawal strategies on groundwater flow in the unconfined Kirkwood-Cohansey aquifer system, the Rio Grande water-bearing zone, and the Atlantic City 800-foot sand in the Great Egg Harbor and Mullica River Basins, New Jersey: U.S. Geological Survey Scientific Investigations Report 2012-5187, Report: x, 139 p.; Appendixes: 2-3, https://doi.org/10.3133/sir20125187.","productDescription":"Report: x, 139 p.; Appendixes: 2-3","numberOfPages":"153","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":263087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5187.png"},{"id":263086,"rank":0,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5187/support/sir2012-5187-appendix3.xls","text":"Appendix 3","linkFileType":{"id":3,"text":"xlsx"}},{"id":263083,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5187/","text":"Index Page","linkFileType":{"id":5,"text":"html"}},{"id":263084,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5187/support/sir2012-5187.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":263085,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5187/support/sir2012-5187-appendix2.xls","text":"Appendix 2","linkFileType":{"id":3,"text":"xlsx"}},{"id":361403,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70G3J3J","text":"MODFLOW-2000 model used to evaluate alternative withdrawal strategies on groundwater flow in the unconfined Kirkwood-Cohansey aquifer system, the Rio Grande water-bearing zone, and the Atlantic City 800-foot sand in the Great Egg Harbor and Mullica River Basins, New Jersey"}],"scale":"24000","country":"United States","state":"New Jersey","otherGeospatial":"Great Egg Harbor;Mullica River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.5,39.0 ], [ -75.5,40.25 ], [ -73.75,40.25 ], [ -73.75,39.0 ], [ -75.5,39.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509e2607e4b0cbd9af3af711","contributors":{"authors":[{"text":"Pope, Daryll A. dpope@usgs.gov","contributorId":3796,"corporation":false,"usgs":true,"family":"Pope","given":"Daryll","email":"dpope@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":468813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carleton, Glen B. 0000-0002-7666-4407 carleton@usgs.gov","orcid":"https://orcid.org/0000-0002-7666-4407","contributorId":3795,"corporation":false,"usgs":true,"family":"Carleton","given":"Glen","email":"carleton@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":468812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buxton, Debra E. dbuxton@usgs.gov","contributorId":4777,"corporation":false,"usgs":true,"family":"Buxton","given":"Debra","email":"dbuxton@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":468814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Richard L.","contributorId":38961,"corporation":false,"usgs":true,"family":"Walker","given":"Richard","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":468816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shourds, Jennifer L. 0000-0002-7631-9734 jshourds@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-9734","contributorId":5821,"corporation":false,"usgs":true,"family":"Shourds","given":"Jennifer","email":"jshourds@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468811,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70040697,"text":"sir20125178 - 2012 - Bankfull-channel geometry and discharge curves for the Rocky Mountains Hydrologic Region in Wyoming","interactions":[],"lastModifiedDate":"2012-11-09T14:45:25","indexId":"sir20125178","displayToPublicDate":"2012-11-09T00:00:00","publicationYear":"2012","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":"2012-5178","title":"Bankfull-channel geometry and discharge curves for the Rocky Mountains Hydrologic Region in Wyoming","docAbstract":"Regional curves relate bankfull-channel geometry and bankfull discharge to drainage area in regions with similar runoff characteristics and are used to estimate the bankfull discharge and bankfull-channel geometry when the drainage area of a stream is known. One-variable, ordinary least-squares regressions relating bankfull discharge, cross-sectional area, bankfull width, and bankfull mean depth to drainage area were developed from data collected at 35 streamgages in or near Wyoming. Watersheds draining to these streamgages are within the Rocky Mountains Hydrologic Region of Wyoming and neighboring states.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125178","collaboration":"Prepared in cooperation with the Wyoming Department of Environmental Quality, Wyoming Game and Fish Department, and the U.S. Department of Agriculture Forest Service, Region 2","usgsCitation":"Foster, K., 2012, Bankfull-channel geometry and discharge curves for the Rocky Mountains Hydrologic Region in Wyoming: U.S. Geological Survey Scientific Investigations Report 2012-5178, iv, 20 p., https://doi.org/10.3133/sir20125178.","productDescription":"iv, 20 p.","numberOfPages":"27","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":263072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5178.gif"},{"id":263070,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5178/"},{"id":263071,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5178/sir2012-5178.pdf"}],"scale":"2000000","projection":"Albers Equal-area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Colorado;Montana;Wyoming","otherGeospatial":"Rocky Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.0,40.0 ], [ -112.0,45.5 ], [ -104.0,45.5 ], [ -104.0,40.0 ], [ -112.0,40.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509e25e7e4b0cbd9af3af6fd","contributors":{"authors":[{"text":"Foster, Katharine","contributorId":38664,"corporation":false,"usgs":true,"family":"Foster","given":"Katharine","email":"","affiliations":[],"preferred":false,"id":468810,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040696,"text":"ofr20121175 - 2012 - Southwest Washington littoral drift restoration—Beach and nearshore morphological monitoring","interactions":[],"lastModifiedDate":"2012-11-09T12:34:21","indexId":"ofr20121175","displayToPublicDate":"2012-11-09T00:00:00","publicationYear":"2012","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":"2012-1175","title":"Southwest Washington littoral drift restoration—Beach and nearshore morphological monitoring","docAbstract":"A morphological monitoring program has documented the placement and initial dispersal of beach nourishment material (280,000 m3) placed between the Mouth of the Columbia River (MCR) North Jetty and North Head, at the southern end of the Long Beach Peninsula in southwestern Washington State. A total of 21 topographic surveys and 8 nearshore bathymetric surveys were performed between July 11, 2010, and November 4, 2011. During placement, southerly alongshore transport resulted in movement of nourishment material to the south towards the MCR North Jetty. Moderate wave conditions (significant wave height around 4 m) following the completion of the nourishment resulted in cross-shore sediment transport, with most of the nourishment material transported into the nearshore bars. The nourishment acted as a buffer to the more severe erosion, including dune overtopping and retreat, that was observed at the northern end of the study area throughout the winter. One year after placement of the nourishment, onshore transport and beach recovery were most pronounced within the permit area and to the south toward the MCR North Jetty. This suggests that there is some long-term benefit of the nourishment for reducing erosion rates locally, although the enhanced recovery also could be due to natural gradients in alongshore transport causing net movement of the sediment from north to south. Measurements made during the morphological monitoring program documented the seasonal movement and decay of nearshore sand bars. Low-energy conditions in late summer resulted in onshore bar migration early in the monitoring program. Moderate wave conditions in the autumn resulted in offshore movement of the middle bar and continued onshore migration of the outer bar. High-energy wave conditions early in the winter resulted in strong cross-shore transport and creation of a 3-bar system along portions of the coast. More southerly wave events occurred later in the winter and early spring and coincided with the complete loss of the outer bar and net loss of sediment from the study area. These data suggest that bar decay may be an important mechanism for exporting sediment from Benson Beach north to the Long Beach Peninsula. The measurements presented in this report represent one component of a broader monitoring program designed to track the movement of nourishment material on the beach and shoreface at this location, including continuous video monitoring (Argus), <i>in situu</i> measurements of hydrodynamics, and a physical tracer experiment. Field data from the monitoring program will be used to test numerical models of hydrodynamics and sediment transport and to improve the capability of numerical models to support regional sediment management.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121175","collaboration":"Prepared in cooperation with the Washington State Department of Ecology, Oregon State University, and the Portland District Army Corps of Engineers","usgsCitation":"Stevens, A., Gelfenbaum, G., Ruggiero, P., and Kaminsky, G.M., 2012, Southwest Washington littoral drift restoration—Beach and nearshore morphological monitoring: U.S. Geological Survey Open-File Report 2012-1175, Report: vi, 67 p.; Metadata txt, Data zip, https://doi.org/10.3133/ofr20121175.","productDescription":"Report: vi, 67 p.; Metadata txt, Data zip","numberOfPages":"73","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":263077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1175.gif"},{"id":263074,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1175/of2012-1175.pdf"},{"id":263075,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1175/swldr_data.zip"},{"id":263076,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2012/1175/sww_pwc_metadata.txt"},{"id":263073,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1175/"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.0,45.0 ], [ -125.0,49.0 ], [ -122.0,49.0 ], [ -122.0,45.0 ], [ -125.0,45.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509e260ee4b0cbd9af3af715","contributors":{"authors":[{"text":"Stevens, Andrew W.","contributorId":89093,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew W.","affiliations":[],"preferred":false,"id":468809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gelfenbaum, Guy","contributorId":79844,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","affiliations":[],"preferred":false,"id":468807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":468806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaminsky, George M.","contributorId":83150,"corporation":false,"usgs":true,"family":"Kaminsky","given":"George","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468808,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040694,"text":"sim3228 - 2012 - Flood-inundation maps for the Leaf River at Hattiesburg, Mississippi","interactions":[],"lastModifiedDate":"2012-11-09T11:57:32","indexId":"sim3228","displayToPublicDate":"2012-11-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3228","title":"Flood-inundation maps for the Leaf River at Hattiesburg, Mississippi","docAbstract":"Digital flood-inundation maps for a 1.7-mile reach of the Leaf River were developed by the U.S. Geological Survey (USGS) in cooperation with the City of Hattiesburg, City of Petal, Forrest County, Mississippi Emergency Management Agency, Mississippi Department of Homeland Security, and the Emergency Management District. The Leaf River study reach extends from just upstream of the U.S. Highway 11 crossing to just downstream of East Hardy/South Main Street and separates the cities of Hattiesburg and Petal, Mississippi. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at <a href=\"http://water.usgs.gov/osw/flood_inundation/\" target=\"_blank\">http://water.usgs.gov/osw/flood_inundation/</a>, depict estimates of the areal extent of flooding corresponding to selected water-surface elevations (stages) at the USGS streamgage at Leaf River at Hattiesburg, Mississippi (02473000). Current conditions at the USGS streamgage may be obtained through the National Water Information System Web site at <a href=\"http://waterdata.usgs.gov/ms/nwis/uv/?site_no=02473000&PARAmeter_cd=00065,00060\" target=\"_blank\">http://waterdata.usgs.gov/ms/nwis/uv/?site_no=02473000&PARAmeter_cd=00065,00060</a>. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood-warning system (<a href=\"http://water.weather.gov/ahps/\" target=\"_blank\">http://water.weather.gov/ahps/</a>). The NWS forecasts flood hydrographs at many places that are often collocated at USGS streamgages. The forecasted peak-stage information, available on the AHPS Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relations at the Leaf River at Hattiesburg, Mississippi, streamgage and documented high-water marks from recent and historical floods. The hydraulic model was then used to determine 13 water-surface profiles for flood stages at 1.0-foot intervals referenced to the streamgage datum and ranging from bankfull to approximately the highest recorded water-surface elevation at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model [derived from Light Detection and Ranging (LiDAR) data having a 0.6-foot vertical accuracy and 9.84-foot horizontal resolution] in order to delineate the area flooded at each 1-foot increment of stream stage. The availability of these maps, when combined with real-time stage information from USGS streamgages and forecasted stream stage from the NWS, provides emergency management personnel and residents with critical information during flood-response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3228","collaboration":"Prepared in cooperation with the City of Hattiesburg, City of Petal, Forrest County, Mississippi Emergency Management Agency, Mississippi Department of Homeland Security, and the Emergency Management District","usgsCitation":"Storm, J.B., 2012, Flood-inundation maps for the Leaf River at Hattiesburg, Mississippi: U.S. Geological Survey Scientific Investigations Map 3228, Pamphlet: vi, 8 p.; 13 Sheets: 17 x 22 inches; Downloads directory, https://doi.org/10.3133/sim3228.","productDescription":"Pamphlet: vi, 8 p.; 13 Sheets: 17 x 22 inches; Downloads directory","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":263066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3228.jpg"},{"id":263052,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3228/download/"},{"id":263053,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet1.pdf"},{"id":263054,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet2.pdf"},{"id":263055,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet3.pdf"},{"id":263056,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet4.pdf"},{"id":263057,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet6.pdf"},{"id":263050,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3228/"},{"id":263051,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3228/pdf/sim_3228.pdf"},{"id":263058,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet5.pdf"},{"id":263059,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet7.pdf"},{"id":263060,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet8.pdf"},{"id":263061,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet9.pdf"},{"id":263062,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet10.pdf"},{"id":263063,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet11.pdf"},{"id":263064,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet12.pdf"},{"id":263065,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3228/sheets/sim_3228_sheet13.pdf"}],"projection":"Transverse Mercator projection","datum":"North American Datum of 1983 and North American Vergical Datum of 1988","country":"United States","state":"Mississippi","county":"Forrest County","otherGeospatial":"Leaf River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.32,31.3 ], [ -89.32,31.37 ], [ -89.25,31.37 ], [ -89.25,31.3 ], [ -89.32,31.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509e2601e4b0cbd9af3af70d","contributors":{"authors":[{"text":"Storm, John B. 0000-0002-5657-536X jbstorm@usgs.gov","orcid":"https://orcid.org/0000-0002-5657-536X","contributorId":3684,"corporation":false,"usgs":true,"family":"Storm","given":"John","email":"jbstorm@usgs.gov","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468801,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040693,"text":"ofr20121171 - 2012 - Digital Mapping Techniques '10-Workshop Proceedings, Sacramento, California, May 16-19, 2010","interactions":[],"lastModifiedDate":"2012-11-09T11:30:31","indexId":"ofr20121171","displayToPublicDate":"2012-11-09T00:00:00","publicationYear":"2012","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":"2012-1171","title":"Digital Mapping Techniques '10-Workshop Proceedings, Sacramento, California, May 16-19, 2010","docAbstract":"The Digital Mapping Techniques '10 (DMT'10) workshop was attended by 110 technical experts from 40 agencies, universities, and private companies, including representatives from 19 State geological surveys (see Appendix A). This workshop, hosted by the California Geological Survey, May 16-19, 2010, in Sacramento, California, was similar in nature to the previous 13 meetings (see Appendix B). The meeting was coordinated by the U.S. Geological Survey's (USGS) National Geologic Map Database project. As in the previous meetings, the objective was to foster informal discussion and exchange of technical information. It is with great pleasure that I note that the objective was again successfully met, as attendees continued to share and exchange knowledge and information, and renew friendships and collegial work begun at past DMT workshops. At this meeting, oral and poster presentations and special discussion sessions emphasized (1) methods for creating and publishing map products (\"publishing\" includes Web-based release); (2) field data capture software and techniques, including the use of LiDAR; (3) digital cartographic techniques; (4) migration of digital maps into ArcGIS Geodatabase format; (5) analytical GIS techniques; and (6) continued development of the National Geologic Map Database.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121171","usgsCitation":"Soller, D.R., 2012, Digital Mapping Techniques '10-Workshop Proceedings, Sacramento, California, May 16-19, 2010: U.S. Geological Survey Open-File Report 2012-1171, iv, 170 p., https://doi.org/10.3133/ofr20121171.","productDescription":"iv, 170 p.","numberOfPages":"178","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":100,"text":"AASG National Geologic Map Database Project","active":false,"usgs":true}],"links":[{"id":263049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1171.jpg"},{"id":263047,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1171/"},{"id":263048,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1171/pdf/usgs_of2012-1171.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509e25f8e4b0cbd9af3af705","contributors":{"editors":[{"text":"Soller, David R. 0000-0001-6177-8332 drsoller@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-8332","contributorId":2700,"corporation":false,"usgs":true,"family":"Soller","given":"David","email":"drsoller@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":509104,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Soller, David R. 0000-0001-6177-8332 drsoller@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-8332","contributorId":2700,"corporation":false,"usgs":true,"family":"Soller","given":"David","email":"drsoller@usgs.gov","middleInitial":"R.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":468800,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040798,"text":"70040798 - 2012 - Mapping the potential distribution of the invasive Red Shiner, Cyprinella lutrensis (Teleostei: Cyprinidae) across waterways of the conterminous United States","interactions":[],"lastModifiedDate":"2012-11-19T12:00:46","indexId":"70040798","displayToPublicDate":"2012-11-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Mapping the potential distribution of the invasive Red Shiner, Cyprinella lutrensis (Teleostei: Cyprinidae) across waterways of the conterminous United States","docAbstract":"Predicting the future spread of non-native aquatic species continues to be a high priority for natural resource managers striving to maintain biodiversity and ecosystem function. Modeling the potential distributions of alien aquatic species through spatially explicit mapping is an increasingly important tool for risk assessment and prediction. Habitat modeling also facilitates the identification of key environmental variables influencing species distributions. We modeled the potential distribution of an aggressive invasive minnow, the red shiner (Cyprinella lutrensis), in waterways of the conterminous United States using maximum entropy (Maxent). We used inventory records from the USGS Nonindigenous Aquatic Species Database, native records for C. lutrensis from museum collections, and a geographic information system of 20 raster climatic and environmental variables to produce a map of potential red shiner habitat. Summer climatic variables were the most important environmental predictors of C. lutrensis distribution, which was consistent with the high temperature tolerance of this species. Results from this study provide insights into the locations and environmental conditions in the US that are susceptible to red shiner invasion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquatic Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"REABIC","publisherLocation":"Helsinki, Finland","doi":"10.3391/ai.2012.7.3.009","usgsCitation":"Poulos, H.M., Chernoff, B., Fuller, P., and Butman, D., 2012, Mapping the potential distribution of the invasive Red Shiner, Cyprinella lutrensis (Teleostei: Cyprinidae) across waterways of the conterminous United States: Aquatic Invasions, v. 7, no. 3, p. 377-385, https://doi.org/10.3391/ai.2012.7.3.009.","productDescription":"9 p.","startPage":"377","endPage":"385","ipdsId":"IP-035517","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474273,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/ai.2012.7.3.009","text":"Publisher Index Page"},{"id":263264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263263,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3391/ai.2012.7.3.009"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,5.555555555555556E-4 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -67,0.0011111111111111111 ], [ -67,5.555555555555556E-4 ], [ -0.01611111111111111,5.555555555555556E-4 ] ] ] } } ] }","volume":"7","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50abfc1ce4b0afbc75eb985e","contributors":{"authors":[{"text":"Poulos, Helen M.","contributorId":75271,"corporation":false,"usgs":true,"family":"Poulos","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chernoff, Barry","contributorId":25701,"corporation":false,"usgs":true,"family":"Chernoff","given":"Barry","email":"","affiliations":[],"preferred":false,"id":469047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Pam L. 0000-0002-9389-9144","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":91226,"corporation":false,"usgs":true,"family":"Fuller","given":"Pam L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":469050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butman, David","contributorId":51011,"corporation":false,"usgs":true,"family":"Butman","given":"David","affiliations":[],"preferred":false,"id":469048,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040672,"text":"ofr20121182 - 2012 - Predicting sea-level rise vulnerability of terrestrial habitat and wildlife of the Northwestern Hawaiian Islands","interactions":[],"lastModifiedDate":"2018-04-24T14:23:16","indexId":"ofr20121182","displayToPublicDate":"2012-11-08T00:00:00","publicationYear":"2012","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":"2012-1182","title":"Predicting sea-level rise vulnerability of terrestrial habitat and wildlife of the Northwestern Hawaiian Islands","docAbstract":"If current climate change trends continue, rising sea levels may inundate low-lying islands across the globe, placing island biodiversity at risk. Recent models predict a rise of approximately one meter (1 m) in global sea level by 2100, with larger increases possible in areas of the Pacific Ocean. Pacific Islands are unique ecosystems home to many endangered endemic plant and animal species. The Northwestern Hawaiian Islands (NWHI), which extend 1,930 kilometers (km) beyond the main Hawaiian Islands, are a World Heritage Site and part of the Papahanaumokuakea Marine National Monument. These NWHI support the largest tropical seabird rookery in the world, providing breeding habitat for 21 species of seabirds, 4 endemic land bird species and essential foraging, breeding, or haul-out habitat for other resident and migratory wildlife. In recent years, concern has grown about the increasing vulnerability of the NWHI and their wildlife populations to changing climatic patterns, particularly the uncertainty associated with potential impacts from global sea-level rise (SLR) and storms. In response to the need by managers to adapt future resource protection strategies to climate change variability and dynamic island ecosystems, we have synthesized and down scaled analyses for this important region. This report describes a 2-year study of a remote northwestern Pacific atoll ecosystem and identifies wildlife and habitat vulnerable to rising sea levels and changing climate conditions. A lack of high-resolution topographic data for low-lying islands of the NWHI had previously precluded an extensive quantitative model of the potential impacts of SLR on wildlife habitat. The first chapter (chapter 1) describes the vegetation and topography of 20 islands of Papahanaumokuakea Marine National Monument, the distribution and status of wildlife populations, and the predicted impacts for a range of SLR scenarios. Furthermore, this chapter explores the potential effects of SLR on wildlife breeding habitats for each island. The subsequent chapter (chapter 2) details a study of the Laysan Island ecosystem, describing a quantitative model that incorporates SLR, storm wave, and rising groundwater inundation. Wildlife, storm, and oceanographic data allowed for an assessment of the phenological and spatial vulnerability of Laysan Island's breeding bird species to SLR and storms. Using remote sensing and geospatial techniques, we estimated topography, classified vegetation, modeled SLR, and evaluated a range of climate change scenarios. On the basis of high-resolution airborne data collected during 2010-11 (root-mean-squared error = 0.05-0.18 m), we estimated the maximum elevation of 20 individual islands extending from Kure Atoll to French Frigate Shoals (range: 1.8-39.7 m) and computed the mean elevation (1.7 m, standard deviation 1.1 m) across all low-lying islands. We also analyzed general climate models to describe rainfall and temperature scenarios expected to influence adaptation of some plants and animals for this region. Outcomes for the NWHI predicted an increase in temperature of 1.8-2.6 degrees Celsius (&deg;C) and an annual decrease in precipitation of 24.7-76.3 millimeters (mm) across the NWHI by 2100. Our models of passive SLR (excluding wave-driven effects, erosion, and accretion) showed that approximately 4 percent of the total land area in the NWHI will be lost with scenarios of +1.0 m of SLR and 26 percent will be lost with +2.0 m of SLR. Some atolls are especially vulnerable to SLR. For example, at Pearl and Hermes Atoll our analysis indicated substantial habitat losses with 43 percent of the land area inundated at +1.0 m SLR and 92 percent inundated at +2.0 m SLR. Across the NWHI, seven islands will be completely submerged with +2.0 m SLR. The limited global ranges of some tropical nesting birds make them particularly vulnerable to climate change impacts in the NWHI. Climate change scenarios and potential SLR impacts presented here emphasize the need for early climate change adaptation and mitigation planning, especially for species with limited breeding distributions and/or ranges restricted primarily to the low-lying NWHI: <i>Cyperus pennatiformis</i> var. <i>bryanii</i>, Black-footed Albatross (<i>Phoebastria nigripes</i>), Laysan Albatross (<i>P. immutabilis</i>), Bonin Petrel (<i>Pterodroma hypoleuca</i>), Gray-backed Tern (<i>Onychoprion lunatus</i>), Laysan Teal (<i>Anas laysanensis</i>), Laysan Finch (<i>Telespiza cantans</i>), and Hawaiian monk seal (<i>Monachus schauinslandi</i>). Furthermore, SLR scenarios that include the effects of wave dynamics and groundwater rise may indicate amplified vulnerability to climate change driven habitat loss on low-lying islands. In chapter 2, we incorporated the combined effects of SLR, dynamic wave-driven inundation, and rising groundwater in a quantitative study specifically for the Laysan Island ecosystem. This is the first hydrodynamic model to simulate the combined impacts of SLR and wave-driven inundation in the NWHI. We developed a high-resolution digital elevation model (mean vertical accuracy of 0.32 m) for the island. Then using recent satellite imagery, geospatial models, and historical oceanographic, storm, and biological data we estimated potential inundation extent, habitat loss, and wildlife population impacts for a range of potential SLR scenarios (0.00, +0.50, +1.00, +1.50, and +2.00 m) that may occur over the next century. Additionally, we estimated the carrying capacity of Laysan Island for five species based on the available population monitoring data and described how potential losses in nesting habitat could influence population dynamics for Black-footed Albatross, Laysan Albatross, Red-footed Booby (Sula sula), Laysan Teal, and Laysan Finch. For some other seabird populations (Masked Booby, <i>S. dactylatra</i>; Brown Booby, <i>S. leucogaster</i>; Great Frigatebird, <i>Fregata minor</i>; and Sooty Tern, <i>Onychoprion fuscata</i>), we used recent colony distribution data, land cover maps, and nesting behavior to estimate potential losses of nesting habitat from SLR and wave-driven inundation. We observed far greater potential impacts of SLR to wildlife with the dynamic wave-driven modeling approach than with the passive modeling approach. Depending on SLR scenario and coastal orientation, during storms under a +2.00 m SLR scenario, the wave-driven inundation model predicted three times more inundation than the passive model (17.2 percent of total terrestrial area versus 4.6 percent, respectively). Large-wave events generally added 1 m of water height to passive inundation surfaces, therefore our dynamic models (during storm events) forecasted comparable inundation extents earlier than passive models. Although wave-driven water levels were highest in the northwest quadrant of Laysan Island, the greatest extent of inundation occurred in the southeast where coastal dunes less than 3 m above mean sea level provide little protection from wave-driven inundation. When wave-driven inundation was included in the SLR model for Laysan Island greater nesting habitat loss and potential impacts on wildlife population dynamics were predicted. The consequences of habitat loss due to SLR may be worse for species with colonies in the wave-exposed coastal zones (for example, Black-footed Albatross) and for populations already near the island's carrying capacity (for example, Laysan Teal). Species whose peak incubation and chick-rearing periods coincide with seasonally high wave heights also will be increasingly vulnerable, especially those species nesting on the ground in areas vulnerable to inundation, such as Gray-backed Tern and Black-footed Albatross. Other species that have space for population growth, or are not restricted to a narrow range of habitat types on Laysan (for instance, Sooty Terns), may be less sensitive to habitat loss from SLR over the next century. Our assessments of inundation risk, habitat loss, and wildlife species vulnerability synthesize current knowledge about individual islands and contribute to a broader understanding of the impacts of inundation from SLR and storm-induced waves. Yet, most NWHI and their bird populations lack monitoring data to evaluate adaptations to and impacts of climate change. Exceptions include some data sets from long-term monitoring of wildlife populations, tides, or weather at French Frigate Shoals, Laysan Island, and Midway Atoll. These data sets are potentially valuable baselines, which could be informative for adaptive learning (integrating management and science) to predict, adapt, and mitigate the effects of climate change on NWHI wildlife in the future. This study provides the first quantitative vulnerability assessment for all of the low-lying NWHI, and results identify biological communities, locales, and resident endangered species of Papahanaumokuakea Marine National Monument expected to be at risk from SLR. This report is also intended as a reference for managers and conservation planners, a tool to identify and potentially reduce uncertainty, and a starting place for developing climate change monitoring priorities and future scientific studies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121182","collaboration":"Chapter 1: Climate change vulnerability assessment of the low-lying northwestern Hawaiian Islands; Chapter 2: Sea-level rise and wave-driven inundation models for Laysan Island","usgsCitation":"Reynolds, M.H., Berkowitz, P., Courtot, K., and Krause, C.M., 2012, Predicting sea-level rise vulnerability of terrestrial habitat and wildlife of the Northwestern Hawaiian Islands: U.S. Geological Survey Open-File Report 2012-1182, ix, 139 p., https://doi.org/10.3133/ofr20121182.","productDescription":"ix, 139 p.","numberOfPages":"153","onlineOnly":"Y","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":438807,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P5WHVH","text":"USGS data release","linkHelpText":"Northwestern Hawaiian Islands Sea-level Rise Scenarios and Models 2010-2015"},{"id":263022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1182.gif"},{"id":263021,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1182/of2012-1182.pdf"},{"id":263020,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1182/"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,10.0 ], [ -180.0,33.0 ], [ -150.0,33.0 ], [ -150.0,10.0 ], [ -180.0,10.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509cf2bce4b0e374086f468b","contributors":{"editors":[{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":509100,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Berkowitz, Paul pberkowitz@usgs.gov","contributorId":4642,"corporation":false,"usgs":true,"family":"Berkowitz","given":"Paul","email":"pberkowitz@usgs.gov","affiliations":[],"preferred":true,"id":509101,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Courtot, Karen N.","contributorId":26909,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen N.","affiliations":[],"preferred":false,"id":509102,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Krause, Crystal M.","contributorId":101919,"corporation":false,"usgs":true,"family":"Krause","given":"Crystal","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":509103,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":468766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berkowitz, Paul pberkowitz@usgs.gov","contributorId":4642,"corporation":false,"usgs":true,"family":"Berkowitz","given":"Paul","email":"pberkowitz@usgs.gov","affiliations":[],"preferred":true,"id":468767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Courtot, Karen N.","contributorId":26909,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen N.","affiliations":[],"preferred":false,"id":468768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krause, Crystal M.","contributorId":101919,"corporation":false,"usgs":true,"family":"Krause","given":"Crystal","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468769,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040674,"text":"ofr20121228 - 2012 - Digital geologic map of the Redding 1° x 2° quadrangle, Shasta, Tehama, Humboldt, and Trinity Counties, California","interactions":[{"subject":{"id":47317,"text":"ofr87257 - 1987 - Geologic map of the Redding 1 x 2 degree quadrangle, Shasta, Tehama, Humboldt, and Trinity Counties, California","indexId":"ofr87257","publicationYear":"1987","noYear":false,"title":"Geologic map of the Redding 1 x 2 degree quadrangle, Shasta, Tehama, Humboldt, and Trinity Counties, California"},"predicate":"SUPERSEDED_BY","object":{"id":70040674,"text":"ofr20121228 - 2012 - Digital geologic map of the Redding 1° x 2° quadrangle, Shasta, Tehama, Humboldt, and Trinity Counties, California","indexId":"ofr20121228","publicationYear":"2012","noYear":false,"title":"Digital geologic map of the Redding 1° x 2° quadrangle, Shasta, Tehama, Humboldt, and Trinity Counties, California"},"id":1}],"lastModifiedDate":"2022-04-15T20:50:57.861912","indexId":"ofr20121228","displayToPublicDate":"2012-11-08T00:00:00","publicationYear":"2012","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":"2012-1228","title":"Digital geologic map of the Redding 1° x 2° quadrangle, Shasta, Tehama, Humboldt, and Trinity Counties, California","docAbstract":"<p>The Redding 1° x 2° quadrangle in northwestern California transects the Franciscan Complex and southern Klamath Mountains province as well as parts of the Great Valley Complex, northern Great Valley, and southernmost Cascades volcanic province. The tectonostratigraphic terranes of the Klamath province represent slices of oceanic crust, island arcs, and overlying sediment that range largely from Paleozoic to Jurassic in age. The Eastern Klamath terrane forms the nucleus to which the other terranes were added westward, primarily during Jurassic time, and that package was probably accreted to North America during earliest Cretaceous time. The younger Franciscan Complex consists of a sequence of westward younging tectonostratigraphic terranes of late Jurassic to Miocene age that were accreted to North America from mid-Cretaceous through Miocene time, with the easternmost being the most strongly metamorphosed. The marine Great Valley sequence, of late Jurassic and Cretaceous age, was deposited unconformably across the southernmost Klamath rocks, but in turn was underthrust at its western margin by Eastern belt Franciscan rocks. Pliocene and Quaternary volcanic rocks and sediment of the Cascades province extend into the southeastern part of the quadrangle, abutting the northernmost part of the great central valley of California. This map and database represent a digital rendition of Open-File Report 87-257, 1987, by L.A. Fraticelli, J.P. Albers, W.P. Irwin, and M.C. 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,{"id":70040678,"text":"ofr20121229 - 2012 - Tohoku-Oki Earthquake Tsunami Runup and Inundation Data for Sites Around the Island of Hawai&#699;i","interactions":[],"lastModifiedDate":"2019-05-30T13:56:13","indexId":"ofr20121229","displayToPublicDate":"2012-11-08T00:00:00","publicationYear":"2012","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":"2012-1229","title":"Tohoku-Oki Earthquake Tsunami Runup and Inundation Data for Sites Around the Island of Hawai&#699;i","docAbstract":"At 0546 U.t.c. March 11, 2011, a M<sub>w</sub> 9.0 (\"great\") earthquake occurred near the northeast coast of Honshu Island, Japan, generating a large tsunami that devastated the east coast of Japan and impacted many far-flung coastal sites around the Pacific Basin. After the earthquake, the Pacific Tsunami Warning Center issued a tsunami alert for the State of Hawaii, followed by a tsunami-warning notice from the local State Civil Defense on March 10, 2011 (Japan is 19 hours ahead of Hawaii). After the waves passed the islands, U.S. Geological Survey (USGS) scientists from the Hawaiian Volcano Observatory (HVO) measured inundation (maximum inland distance of flooding), runup (elevation at maximum extent of inundation) and took photographs in coastal areas around the Island of Hawai&#699;i. Although the damage in West Hawai&#699;i is well documented, HVO's mapping revealed that East Hawai&#699;i coastlines were also impacted by the tsunami. The intent of this report is to provide runup and inundation data for sites around the Island of Hawai&#699;i.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121229","usgsCitation":"Trusdell, F., Chadderton, A., Hinchliffe, G., Hara, A., Patenge, B., and Weber, T., 2012, Tohoku-Oki Earthquake Tsunami Runup and Inundation Data for Sites Around the Island of Hawai&#699;i: U.S. Geological Survey Open-File Report 2012-1229, Report: iv, 36 p.; Table 1 spreadsheet, https://doi.org/10.3133/ofr20121229.","productDescription":"Report: iv, 36 p.; Table 1 spreadsheet","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":263026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1229.gif"},{"id":263024,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1229/"},{"id":263025,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1229/of2012-1229_table1.xlsx"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.062000,18.910800 ], [ -156.062000,20.268600 ], [ -154.806500,20.268600 ], [ -154.806500,18.910800 ], [ -156.062000,18.910800 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"509cf2fbe4b0e374086f46b5","contributors":{"authors":[{"text":"Trusdell, Frank A. 0000-0002-0681-0528 trusdell@usgs.gov","orcid":"https://orcid.org/0000-0002-0681-0528","contributorId":754,"corporation":false,"usgs":true,"family":"Trusdell","given":"Frank A.","email":"trusdell@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":468776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chadderton, Amy","contributorId":51161,"corporation":false,"usgs":true,"family":"Chadderton","given":"Amy","email":"","affiliations":[],"preferred":false,"id":468777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinchliffe, Graham","contributorId":94928,"corporation":false,"usgs":true,"family":"Hinchliffe","given":"Graham","email":"","affiliations":[],"preferred":false,"id":468780,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hara, Andrew","contributorId":106384,"corporation":false,"usgs":true,"family":"Hara","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":468781,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patenge, Brent","contributorId":73074,"corporation":false,"usgs":true,"family":"Patenge","given":"Brent","email":"","affiliations":[],"preferred":false,"id":468778,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weber, Tom","contributorId":76605,"corporation":false,"usgs":true,"family":"Weber","given":"Tom","email":"","affiliations":[],"preferred":false,"id":468779,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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