{"pageNumber":"19","pageRowStart":"450","pageSize":"25","recordCount":2263,"records":[{"id":70191252,"text":"70191252 - 2012 - Strata-bound Fe-Co-Cu-Au-Bi-Y-REE deposits of the Idaho Cobalt Belt: Multistage hydrothermal mineralization in a magmatic-related iron oxide copper-gold system","interactions":[],"lastModifiedDate":"2017-10-02T16:37:55","indexId":"70191252","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Strata-bound Fe-Co-Cu-Au-Bi-Y-REE deposits of the Idaho Cobalt Belt: Multistage hydrothermal mineralization in a magmatic-related iron oxide copper-gold system","docAbstract":"<p id=\"p-1\">Mineralogical and geochemical studies of strata-bound Fe-Co-Cu-Au-Bi-Y-rare-earth element (REE) deposits of the Idaho cobalt belt in east-central Idaho provide evidence of multistage epigenetic mineralization by magmatic-hydrothermal processes in an iron oxide copper-gold (IOCG) system. Deposits of the Idaho cobalt belt comprise three types: (1) strata-bound sulfide lenses in the Blackbird district, which are cobaltite and, less commonly, chalcopyrite rich with locally abundant gold, native bismuth, bismuthinite, xenotime, allanite, monazite, and the Be-rich silicate gadolinite-(Y), with sparse uraninite, stannite, and Bi tellurides, in a gangue of quartz, chlorite, biotite, muscovite, garnet, tourmaline, chloritoid, and/or siderite, with locally abundant fluorapatite or magnetite; (2) discordant tourmalinized breccias in the Blackbird district that in places have concentrations of cobaltite, chalcopyrite, gold, and xenotime; and (3) strata-bound magnetite-rich lenses in the Iron Creek area, which contain cobaltiferous pyrite and locally sparse chalcopyrite or xenotime. Most sulfide-rich deposits in the Blackbird district are enclosed by strata-bound lenses composed mainly of Cl-rich Fe biotite; some deposits have quartz-rich envelopes.</p><p id=\"p-2\">Whole-rock analyses of 48 Co- and/or Cu-rich samples show high concentrations of Au (up to 26.8 ppm), Bi (up to 9.16 wt %), Y (up to 0.83 wt %), ∑REEs (up to 2.56 wt %), Ni (up to 6,780 ppm), and Be (up to 1,180 ppm), with locally elevated U (up to 124 ppm) and Sn (up to 133 ppm); Zn and Pb contents are uniformly low (≤821 and ≤61 ppm, respectively). Varimax factor analysis of bulk compositions of these samples reveals geochemically distinct element groupings that reflect statistical associations of monazite, allanite, and xenotime; biotite and gold; detrital minerals; chalcopyrite and sparse stannite; quartz; and cobaltite with sparse selenides and tellurides. Significantly, Cu is statistically separate from Co and As, consistent with the general lack of abundant chalcopyrite in cobaltite-rich samples.</p><p id=\"p-3\">Paragenetic relations determined by scanning electron microscopy indicate that the earliest Y-REE-Be mineralization preceded deposition of Co, Cu, Au, and Bi. Allanite, xenotime, and gadolinite-(Y) commonly occur as intergrowths with and inclusions in cobaltite; the opposite texture is rare. Monazite, in contrast, forms a poikiloblastic matrix to cobaltite and thin rims on allanite and xenotime, reflecting a later metamorphic paragenesis. Allanite and xenotime also show evidence of late dissolution and reprecipitation, forming discordant rims on older anhedral allanite and xenotime and separate euhedral crystals of each mineral. Textural data suggest extensive deformation of the deposits by folding and shearing, and by pervasive recrystallization, all during Cretaceous metamorphism. Sensitive high resolution ion microprobe U-Pb geochronology by<span>&nbsp;</span><span id=\"xref-ref-4-1\" class=\"xref-bibr\">Aleinikoff et al. (2012)</span><span>&nbsp;</span>supports these paragenetic interpretations, documenting contemporaneous Mesoproterozoic growth of early xenotime and crystallization of megacrystic A-type granite on the northern border of the district. These ages are used together with mineralogical and geochemical data from the present study to support an epigenetic, IOCG model for Fe-Co-Cu-Au-Bi-Y-REE deposits of the Idaho cobalt belt. A sulfide facies variant of IOCG deposits is proposed for the Blackbird district, in which reducing hydrothermal conditions favored deposition of sulfide minerals over iron oxides. This new model includes Mesoproterozoic vein mineralization and related Fe-Cl metasomatism that formed the biotite-rich lenses, a predominantly felsic magmatic source for metals in the deposits, given their local abundance of Y, REEs, and Be, and a major sedimentary component in the hydrothermal fluids based on independent sulfur isotope and boron isotope data for sulfides and ore-related tourmaline, respectively.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.107.6.1089","usgsCitation":"Slack, J.F., 2012, Strata-bound Fe-Co-Cu-Au-Bi-Y-REE deposits of the Idaho Cobalt Belt: Multistage hydrothermal mineralization in a magmatic-related iron oxide copper-gold system: Economic Geology, v. 107, no. 6, p. 1089-1113, https://doi.org/10.2113/econgeo.107.6.1089.","productDescription":"25 p.","startPage":"1089","endPage":"1113","ipdsId":"IP-030528","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":346338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-09-20","publicationStatus":"PW","scienceBaseUri":"59d3502ce4b05fe04cc34d84","contributors":{"authors":[{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":711688,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70032224,"text":"70032224 - 2012 - Distribution and geochemistry of selected trace elements in the Sacramento River near Keswick Reservoir","interactions":[],"lastModifiedDate":"2020-12-03T22:46:11.980694","indexId":"70032224","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and geochemistry of selected trace elements in the Sacramento River near Keswick Reservoir","docAbstract":"<p id=\"sp0005\">The effect of heavy metals from the Iron Mountain Mines (IMM) Superfund site on the upper Sacramento River is examined using data from water and bed sediment samples collected during 1996–97. Relative to surrounding waters, aluminum, cadmium, cobalt, copper, iron, lead, manganese, thallium, zinc and the rare-earth elements (REE) were all present in high concentrations in effluent from Spring Creek Reservoir (SCR), which enters into the Sacramento River in the Spring Creek Arm of Keswick Reservoir. SCR was constructed in part to regulate the flow of acidic, metal-rich waters draining the IMM Superfund site. Although virtually all of these metals exist in SCR in the dissolved form, upon entering Keswick Reservoir they at least partially converted via precipitation and/or adsorption to the particulate phase. In spite of this, few of the metals settled out; instead the vast majority was transported colloidally down the Sacramento River at least to Bend Bridge, 67&nbsp;km from Keswick Dam.</p><p id=\"sp0010\">The geochemical influence of IMM on the upper Sacramento River was variable, chiefly dependent on the flow of Spring Creek. Although the average flow of the Sacramento River at Keswick Dam is 250&nbsp;m<sup>3</sup>/s (cubic meters per second), even flows as low as 0.3&nbsp;m<sup>3</sup>/s from Spring Creek were sufficient to account for more than 15% of the metals loading at Bend Bridge, and these proportions increased with increasing Spring Creek flow.</p><p id=\"sp0015\">The dissolved proportion of the total bioavailable load was dependent on the element but steadily decreased for all metals, from near 100% in Spring Creek to values (for some elements) of less than 1% at Bend Bridge; failure to account for the suspended sediment load in assessments of the effect of metals transport in the Sacramento River can result in estimates which are low by as much as a factor of 100.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.12.025","issn":"00092541","usgsCitation":"Antweiler, R.C., Taylor, H.E., and Alpers, C.N., 2012, Distribution and geochemistry of selected trace elements in the Sacramento River near Keswick Reservoir: Chemical Geology, v. 298-299, p. 70-78, https://doi.org/10.1016/j.chemgeo.2011.12.025.","productDescription":"9 p.","startPage":"70","endPage":"78","numberOfPages":"9","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":242543,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214792,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.12.025"}],"country":"United States","state":"California","otherGeospatial":"Sacramento River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.20068359374999,\n              40.317231732315236\n            ],\n            [\n              -121.72302246093749,\n              40.317231732315236\n            ],\n            [\n              -121.72302246093749,\n              41.47566020027821\n            ],\n            [\n              -123.20068359374999,\n              41.47566020027821\n            ],\n            [\n              -123.20068359374999,\n              40.317231732315236\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"298-299","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a028de4b0c8380cd500ce","contributors":{"authors":[{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":435115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Howard E. hetaylor@usgs.gov","contributorId":1551,"corporation":false,"usgs":true,"family":"Taylor","given":"Howard","email":"hetaylor@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":435114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":435116,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035458,"text":"70035458 - 2012 - Geochemical constraints on adakites of different origins and copper mineralization","interactions":[],"lastModifiedDate":"2020-11-13T20:05:13.127307","indexId":"70035458","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2309,"text":"Journal of Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical constraints on adakites of different origins and copper mineralization","docAbstract":"<p><span>The petrogenesis of adakites holds important clues to the formation of the continental crust and copper ± gold porphyry mineralization. However, it remains highly debated as to whether adakites form by slab melting, by partial melting of the lower continental crust, or by fractional crystallization of normal arc magmas. Here, we show that to form adakitic signature, partial melting of a subducting oceanic slab would require high pressure at depths of &gt;50 km, whereas partial melting of the lower continental crust would require the presence of plagioclase and thus shallower depths and additional water. These two types of adakites can be discriminated using geochemical indexes. Compiled data show that adakites from circum-Pacific regions, which have close affinity to subduction of young hot oceanic plate, can be clearly discriminated from adakites from the Dabie Mountains and the Tibetan Plateau, which have been attributed to partial melting of continental crust, in Sr/Y-versus-La/Yb diagram. Given that oceanic crust has copper concentrations about two times higher than those in the continental crust, whereas the high oxygen fugacity in the subduction environment promotes the release of copper during partial melting, slab melting provides the most efficient mechanism to concentrate copper and gold; slab melts would be more than two times greater in copper (and also gold) concentrations than lower continental crust melts and normal arc magmas. Thus, identification of slab melt adakites is important for predicting exploration targets for copper- and gold-porphyry ore deposits. This explains the close association of ridge subduction with large porphyry copper deposits because ridge subduction is the most favorable place for slab melting.</span></p>","language":"English","publisher":"The University of Chicago Press Books","doi":"10.1086/662736","issn":"00221376","usgsCitation":"Sun, W., Ling, M., Chung, S., Ding, X., Yang, X., Liang, H., Fan, W., Goldfarb, R., and Yin, Q., 2012, Geochemical constraints on adakites of different origins and copper mineralization: Journal of Geology, v. 120, no. 1, p. 105-120, https://doi.org/10.1086/662736.","productDescription":"16 p.","startPage":"105","endPage":"120","costCenters":[],"links":[{"id":243369,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215557,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/662736"}],"country":"China","otherGeospatial":"Dabie Mountains and the Tibetan Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              101.513671875,\n              22.43134015636061\n            ],\n            [\n              108.720703125,\n              25.958044673317843\n            ],\n            [\n              107.57812499999999,\n              30.600093873550072\n            ],\n            [\n              102.65625,\n              31.50362930577303\n            ],\n            [\n              99.49218749999999,\n              29.152161283318915\n            ],\n            [\n              99.580078125,\n              25.64152637306577\n            ],\n            [\n              101.513671875,\n              22.43134015636061\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              107.57812499999999,\n              40.713955826286046\n            ],\n            [\n              104.765625,\n              35.746512259918504\n            ],\n            [\n              106.171875,\n              33.137551192346145\n            ],\n            [\n              112.1484375,\n              32.24997445586331\n            ],\n            [\n              114.9609375,\n              35.746512259918504\n            ],\n            [\n              114.9609375,\n              40.17887331434696\n            ],\n            [\n              112.8515625,\n              42.8115217450979\n            ],\n            [\n              107.57812499999999,\n              40.713955826286046\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"120","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a15f5e4b0c8380cd54fd6","contributors":{"authors":[{"text":"Sun, W.-D.","contributorId":14658,"corporation":false,"usgs":true,"family":"Sun","given":"W.-D.","email":"","affiliations":[],"preferred":false,"id":450761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ling, M.-X.","contributorId":69382,"corporation":false,"usgs":true,"family":"Ling","given":"M.-X.","email":"","affiliations":[],"preferred":false,"id":450766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chung, S.-L.","contributorId":27697,"corporation":false,"usgs":true,"family":"Chung","given":"S.-L.","email":"","affiliations":[],"preferred":false,"id":450762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ding, X.","contributorId":49990,"corporation":false,"usgs":true,"family":"Ding","given":"X.","email":"","affiliations":[],"preferred":false,"id":450764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, X.-Y.","contributorId":9489,"corporation":false,"usgs":true,"family":"Yang","given":"X.-Y.","email":"","affiliations":[],"preferred":false,"id":450760,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liang, H.-Y.","contributorId":88576,"corporation":false,"usgs":true,"family":"Liang","given":"H.-Y.","email":"","affiliations":[],"preferred":false,"id":450767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fan, W.-M.","contributorId":100217,"corporation":false,"usgs":true,"family":"Fan","given":"W.-M.","email":"","affiliations":[],"preferred":false,"id":450768,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goldfarb, R.","contributorId":43113,"corporation":false,"usgs":true,"family":"Goldfarb","given":"R.","email":"","affiliations":[],"preferred":false,"id":450763,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yin, Q.-Z.","contributorId":64056,"corporation":false,"usgs":true,"family":"Yin","given":"Q.-Z.","email":"","affiliations":[],"preferred":false,"id":450765,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70189578,"text":"70189578 - 2012 - Copper(II) binding by dissolved organic matter: Importance of the copper-to-dissolved organic matter ratio and implications for the Biotic Ligand Model","interactions":[],"lastModifiedDate":"2017-07-17T16:51:31","indexId":"70189578","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Copper(II) binding by dissolved organic matter: Importance of the copper-to-dissolved organic matter ratio and implications for the Biotic Ligand Model","docAbstract":"<p><span>The ratio of copper to dissolved organic matter (DOM) is known to affect the strength of copper binding by DOM, but previous methods to determine the Cu</span><sup>2+</sup><span>–DOM binding strength have generally not measured binding constants over the same Cu:DOM ratios. In this study, we used a competitive ligand exchange–solid-phase extraction (CLE-SPE) method to determine conditional stability constants for Cu</span><sup>2+</sup><span>–DOM binding at pH 6.6 and 0.01 M ionic strength over a range of Cu:DOM ratios that bridge the detection windows of copper-ion-selective electrode and voltammetry measurements. As the Cu:DOM ratio increased from 0.0005 to 0.1 mg of Cu/mg of DOM, the measured conditional binding constant (</span><sup>c</sup><i>K</i><sub>CuDOM</sub><span>) decreased from 10</span><sup>11.5</sup><span><span>&nbsp;</span>to 10</span><sup>5.6</sup><span><span>&nbsp;</span>M</span><sup>–1</sup><span>. A comparison of the binding constants measured by CLE-SPE with those measured by copper-ion-selective electrode and voltammetry demonstrates that the Cu:DOM ratio is an important factor controlling Cu</span><sup>2+</sup><span>–DOM binding strength even for DOM isolates of different types and different sources and for whole water samples. The results were modeled with Visual MINTEQ and compared to results from the biotic ligand model (BLM). The BLM was found to over-estimate Cu</span><sup>2+</sup><span><span>&nbsp;</span>at low total copper concentrations and under-estimate Cu</span><sup>2+</sup><span><span>&nbsp;</span>at high total copper concentrations.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/es301015p","usgsCitation":"Craven, A.M., Aiken, G.R., and Ryan, J.N., 2012, Copper(II) binding by dissolved organic matter: Importance of the copper-to-dissolved organic matter ratio and implications for the Biotic Ligand Model: Environmental Science & Technology, v. 46, no. 18, p. 9948-9955, https://doi.org/10.1021/es301015p.","productDescription":"8 p.","startPage":"9948","endPage":"9955","ipdsId":"IP-036934","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"18","noUsgsAuthors":false,"publicationDate":"2012-08-30","publicationStatus":"PW","scienceBaseUri":"596dcca6e4b0d1f9f062757f","contributors":{"authors":[{"text":"Craven, Alison M.","contributorId":194767,"corporation":false,"usgs":false,"family":"Craven","given":"Alison","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":705290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":705292,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044129,"text":"70044129 - 2012 - Cambrian-lower Middle Ordovician passive carbonate margin, southern Appalachians","interactions":[],"lastModifiedDate":"2020-09-11T18:38:31.792537","indexId":"70044129","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":606,"text":"AAPG Memoir","active":true,"publicationSubtype":{"id":10}},"chapter":"14","title":"Cambrian-lower Middle Ordovician passive carbonate margin, southern Appalachians","docAbstract":"<p><span>The southern Appalachian part of the Cambrian&ndash;Ordovician passive margin succession of the great American carbonate bank extends from the Lower Cambrian to the lower Middle Ordovician, is as much as 3.5 km (2.2 mi) thick, and has long-term subsidence rates exceeding 5 cm (2 in.)/k.y. Subsiding depocenters separated by arches controlled sediment thickness. The succession consists of five supersequences, each of which contains several third-order sequences, and numerous meter-scale parasequences. Siliciclastic-prone supersequence 1 (Lower Cambrian Chilhowee Group fluvial rift clastics grading up into shelf siliciclastics) underlies the passive margin carbonates. Supersequence 2 consists of the Lower Cambrian Shady Dolomite&ndash;Rome-Waynesboro Formations. This is a shallowing-upward ramp succession of thinly bedded to nodular lime mudstones up into carbonate mud-mound facies, overlain by lowstand quartzose carbonates, and then a rimmed shelf succession capped by highly cyclic regressive carbonates and red beds (Rome-Waynesboro Formations). Foreslope facies include megabreccias, grainstone, and thin-bedded carbonate turbidites and deep-water rhythmites. Supersequence 3 rests on a major unconformity and consists of a Middle Cambrian differentiated rimmed shelf carbonate with highly cyclic facies (Elbrook Formation) extending in from the rim and passing via an oolitic ramp into a large structurally controlled intrashelf basin (Conasauga Shale). Filling of the intrashelf basin caused widespread deposition of thin quartz sandstones at the base of supersequence 4, overlain by widespread cyclic carbonates (Upper Cambrian lower Knox Group Copper Ridge Dolomite in the south; Conococheague Formation in the north). Supersequence 5 (Lower Ordovician upper Knox in the south; Lower to Middle Ordovician Beekmantown Group in the north) has a basal quartz sandstone-prone unit, overlain by cyclic ramp carbonates, that grade downdip into thrombolite grainstone and then storm-deposited deep-ramp carbonates. Passive margin deposition was terminated by arc-continent collision when the shelf was uplifted over a peripheral bulge while global sea levels were falling, resulting in the major 0- to 10-m.y. Knox&ndash;Beekmantown unconformity. The supersequences and sequences appear to relate to regionally traceable eustatic sea level cycles on which were superimposed high-frequency Milankovitch sea level cycles that formed the parasequences under global greenhouse conditions.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The great American carbonate bank: The geology and economic resources of the Cambrian-Ordovician Sauk megasequence of Laurentia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"AAPG","publisherLocation":"Tulsa, OK","doi":"10.1306/13331499M980271","usgsCitation":"Read, J.F., and Repetski, J.E., 2012, Cambrian-lower Middle Ordovician passive carbonate margin, southern Appalachians, chap. 14 <i>of</i> The great American carbonate bank: The geology and economic resources of the Cambrian-Ordovician Sauk megasequence of Laurentia: AAPG Memoir, v. 98, p. 357-382, https://doi.org/10.1306/13331499M980271.","productDescription":"26 p.","startPage":"357","endPage":"382","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043201","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":270967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378344,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/specpubs/memoir98/CHAPTER14/CHAPTER14.HTM"}],"country":"United States","otherGeospatial":"southern Appalachian Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.25537109375,\n              39.70718665682654\n            ],\n            [\n              -80.958251953125,\n              39.90973623453719\n            ],\n            [\n              -85.49560546875,\n              36.28856319836237\n            ],\n            [\n              -87.62695312499999,\n              33.715201644740844\n            ],\n            [\n              -85.26489257812499,\n              32.54681317351514\n            ],\n            [\n              -81.595458984375,\n              35.263561862152095\n            ],\n            [\n              -78.233642578125,\n              38.11727165830543\n            ],\n            [\n              -77.080078125,\n              39.73253798438173\n            ],\n            [\n              -79.25537109375,\n              39.70718665682654\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e64d8e4b00154e4368b57","contributors":{"authors":[{"text":"Read, J. Fred","contributorId":50068,"corporation":false,"usgs":false,"family":"Read","given":"J.","email":"","middleInitial":"Fred","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":474845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","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":474844,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044875,"text":"70044875 - 2012 - Mineral resource of the month: manganese","interactions":[],"lastModifiedDate":"2013-05-08T16:49:54","indexId":"70044875","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: manganese","docAbstract":"Manganese is a silver-colored metal resembling iron and often found in conjunction with iron. The earliest-known human use of manganese compounds was in the Stone Age, when early humans used manganese dioxide as pigments in cave paintings. In ancient Rome and Egypt, people started using it to color or remove the color from glass - a practice that continued to modern times. Today, manganese is predominantly used in metallurgical applications as an alloying addition, particularly in steel and cast iron production. Steel and cast iron together provide the largest market for manganese (historically 85 to 90 percent), but it is also alloyed with nonferrous metals such as aluminum and copper. Its importance to steel cannot be overstated, as almost all types of steel contain manganese and could not exist without it.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geosciences Institute","publisherLocation":"Alexandria, VA","usgsCitation":"Corathers, L.A., 2012, Mineral resource of the month: manganese: Earth, v. 57, no. 5, p. 23-23.","productDescription":"1 p.","startPage":"23","endPage":"23","additionalOnlineFiles":"N","ipdsId":"IP-036063","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270508,"type":{"id":11,"text":"Document"},"url":"https://www.agiweb.org/store/library/imprint.php?id=2012_05"}],"volume":"57","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515bfdf2e4b075500ee5ca63","contributors":{"authors":[{"text":"Corathers, Lisa A. lcorathers@usgs.gov","contributorId":3213,"corporation":false,"usgs":true,"family":"Corathers","given":"Lisa","email":"lcorathers@usgs.gov","middleInitial":"A.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":476426,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70032429,"text":"70032429 - 2012 - Isotopically modified nanoparticles for enhanced detection in bioaccumulation studies","interactions":[],"lastModifiedDate":"2020-12-02T12:54:27.761732","indexId":"70032429","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Isotopically modified nanoparticles for enhanced detection in bioaccumulation studies","docAbstract":"<p><span>This work presents results on synthesis of isotopically enriched (99%&nbsp;</span><sup>65</sup><span>Cu) copper oxide nanoparticles and its application in ecotoxicological studies.&nbsp;</span><sup>65</sup><span>CuO nanoparticles were synthesized as spheres (7 nm) and rods (7 × 40 nm). Significant differences were observed between the reactivity and dissolution of spherical and rod shaped nanoparticles. The extreme sensitivity of the stable isotope tracing technique developed in this study allowed determining Cu uptake at exposure concentrations equivalent to background Cu concentrations in freshwater systems (0.2–30 μg/L). Without a tracer, detection of newly accumulated Cu was impossible, even at exposure concentrations surpassing some of the most contaminated water systems (&gt;1 mg/L).</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es2039757","issn":"0013936X","usgsCitation":"Misra, S., Dybowska, A., Berhanu, D., Croteau, M.N., Luoma, S.N., Boccaccini, A., and Valsami-Jones, E., 2012, Isotopically modified nanoparticles for enhanced detection in bioaccumulation studies: Environmental Science & Technology, v. 46, no. 2, p. 1216-1222, https://doi.org/10.1021/es2039757.","productDescription":"7 p.","startPage":"1216","endPage":"1222","costCenters":[],"links":[{"id":241644,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-12-22","publicationStatus":"PW","scienceBaseUri":"505a3fc2e4b0c8380cd647c7","contributors":{"authors":[{"text":"Misra, S.K.","contributorId":47989,"corporation":false,"usgs":true,"family":"Misra","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":436140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dybowska, A.","contributorId":47171,"corporation":false,"usgs":true,"family":"Dybowska","given":"A.","email":"","affiliations":[],"preferred":false,"id":436139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berhanu, D.","contributorId":86177,"corporation":false,"usgs":true,"family":"Berhanu","given":"D.","email":"","affiliations":[],"preferred":false,"id":436142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":436138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":436143,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boccaccini, A.R.","contributorId":59637,"corporation":false,"usgs":true,"family":"Boccaccini","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":436141,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Valsami-Jones, E.","contributorId":103088,"corporation":false,"usgs":true,"family":"Valsami-Jones","given":"E.","affiliations":[],"preferred":false,"id":436144,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044967,"text":"70044967 - 2012 - Ore genesis constraints on the Idaho Cobalt Belt from fluid inclusion gas, noble gas isotope, and ion ratio analyses","interactions":[],"lastModifiedDate":"2020-01-10T15:05:07","indexId":"70044967","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Ore genesis constraints on the Idaho Cobalt Belt from fluid inclusion gas, noble gas isotope, and ion ratio analyses","docAbstract":"<p>The Idaho cobalt belt is a 60-km-long alignment of deposits composed of cobaltite, Co pyrite, chalcopyrite, and gold with anomalous Nb, Y, Be, and rare-earth elements (REEs) in a quartz-biotite-tourmaline gangue hosted in Mesoproterozoic metasedimentary rocks of the Lemhi Group. It is the largest cobalt resource in the United States with historic production from the Blackbird Mine. All of the deposits were deformed and metamorphosed to upper greenschist-lower amphibolite grade in the Cretaceous. They occur near a 1377 Ma anorogenic bimodal plutonic complex. The enhanced solubility of Fe, Co, Cu, and Au as chloride complexes together with gangue biotite rich in Fe and Cl and gangue quartz containing hypersaline inclusions allows that hot saline fluids were involved. The isotopes of B in gangue tourmaline are suggestive of a marine source, whereas those of Pb in ore suggest a U ± Th-enriched source.</p><p>The ore and gangue minerals in this belt may have trapped components in fluid inclusions that are distinct from those in post-ore minerals and metamorphic minerals. Such components can potentially be identified and distinguished by their relative abundances in contrasting samples. Therefore, we obtained samples of Co and Cu sulfides, gangue quartz, biotite, and tourmaline and post-ore quartz veins as well as Cretaceous metamorphic garnet and determined the gas, noble gas isotope, and ion ratios of fluid inclusion extracts by mass spectrometry and ion chromatography.</p><p>The most abundant gases present in extracts from each sample type are biased toward the gas-rich population of inclusions trapped during maximum burial and metamorphism. All have CO<sub>2</sub>/CH<sub>4</sub><span>&nbsp;</span>and N<sub>2</sub>/Ar ratios of evolved crustal fluids, and many yield a range of H<sub>2</sub>-CH<sub>4</sub>-CO<sub>2</sub>-H<sub>2</sub>S equilibration temperatures consistent with the metamorphic grade. Cretaceous garnet and post-ore minerals have high R<sub>H</sub><span>&nbsp;</span>and R<sub>S</sub><span>&nbsp;</span>values suggestive of reduced sulfidic conditions. Most extracts have anomalous<span>&nbsp;</span><sup>4</sup>He produced by decay of U and Th and<span>&nbsp;</span><sup>38</sup>Ar produced by nucleogenic production from<span>&nbsp;</span><sup>41</sup>K. In contrast, some ore and gangue minerals yield significant SO<sub>2</sub><span>&nbsp;</span>and have low R<sub>H</sub><span>&nbsp;</span>and R<sub>S</sub><span>&nbsp;</span>values of a more oxidized fluid. Three extracts from gangue quartz have high helium R/R<sub>A</sub><span>&nbsp;</span>values indicative of a mantle source and neon isotope compositions that require nucleogenic production of<span>&nbsp;</span><sup>22</sup>Ne in fluorite from U ± Th decay. Two extracts from gangue quartz have estimated<span>&nbsp;</span><sup>40</sup>K/<sup>40</sup>Ar that permit a Precambrian age.</p><p>Extracts from gangue quartz in three different ore zones are biased toward the hypersaline population of inclusions and have a tight range of ion ratios (Na, K, NH<sub>4</sub>, Cl, Br, F) suggestive of a single fluid. Their Na, Cl, Br ratios suggest this fluid was a mixture of magmatic and basinal brine. Na-K-Ca temperatures (279°–347°C) are similar to homogenization temperatures of hypersaline inclusions. The high K/Na of the brine may be due to albitization of K silicate minerals in country rocks. Influx of K-rich brines is consistent with the K metasomatism necessary to form gangue biotite with high Cl. An extract from a post-ore quartz vein is distinct and has Na, Cl, Br ratios that resemble metamorphic fluids in Cretaceous silver veins of the Coeur d’Alene district in the Belt Basin.</p><p>The results show that in some samples, for certain components, it is possible to “see through” the Cretaceous metamorphic overprint. Of great import for genetic models, the volatiles trapped in gangue quartz have<span>&nbsp;</span><sup>3</sup>He derived from a mantle source and<span>&nbsp;</span><sup>22</sup>Ne derived from fluorite, both of which may be attributed to nearby ~1377 Ma basalt-rhyolite magmatism. The brine trapped in gangue quartz is a mixture of magmatic fluid and evaporated seawater. The former requires a granitic intrusion that is present in the bimodal intrusive complex, and the latter equatorial paleolatitudes that existed in the Mesoproterozoic. The results permit genetic models involving heat and fluids from the neighboring bimodal plutonic complex and convection of basinal brine in the Lemhi Group. While the inferred fluid sources in the Idaho cobalt belt are similar in many respects to those in iron oxide copper-gold deposits, the fluids were more reduced such that iron was fixed in biotite and tourmaline instead of iron oxides.</p>","language":"English","publisher":"Society of Economic Geologists","publisherLocation":"Littleton, CO","doi":"10.2113/econgeo.107.6.1189","usgsCitation":"Hofstra, A.H., and Landis, G.P., 2012, Ore genesis constraints on the Idaho Cobalt Belt from fluid inclusion gas, noble gas isotope, and ion ratio analyses: Economic Geology, v. 107, no. 6, p. 1189-1205, https://doi.org/10.2113/econgeo.107.6.1189.","productDescription":"17 p.","startPage":"1189","endPage":"1205","numberOfPages":"17","additionalOnlineFiles":"N","ipdsId":"IP-033500","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":270441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.508438,44.9784 ], [ -114.508438,45.124413 ], [ -114.077911,45.124413 ], [ -114.077911,44.9784 ], [ -114.508438,44.9784 ] ] ] } } ] }","volume":"107","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-09-20","publicationStatus":"PW","scienceBaseUri":"515bfdf7e4b075500ee5ca7f","contributors":{"authors":[{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landis, Gary P.","contributorId":72405,"corporation":false,"usgs":true,"family":"Landis","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":476534,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005585,"text":"ofr20111258 - 2011 - Notes on interpretation of geophysical data over areas of mineralization in Afghanistan","interactions":[],"lastModifiedDate":"2020-01-15T09:44:52","indexId":"ofr20111258","displayToPublicDate":"2020-01-15T10:50:00","publicationYear":"2011","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":"2011-1258","displayTitle":"Notes on Interpretation of Geophysical Data Over Areas of Mineralization in Afghanistan","title":"Notes on interpretation of geophysical data over areas of mineralization in Afghanistan","docAbstract":"<p>Afghanistan has the potential to contain substantial metallic mineral resources. Although valuable mineral deposits have been identified, much of the country’s potential remains unknown. Geophysical surveys, particularly those conducted from airborne platforms, are a well-accepted and cost-effective method for obtaining information on the geological setting of a given area. This report summarizes interpretive findings from various geophysical surveys over selected mineral targets in Afghanistan, highlighting what existing data tell us. These interpretations are mainly qualitative in nature, because of the low resolution of available geophysical data.</p><p>Geophysical data and simple interpretations are included for these six areas and deposit types: (1) Aynak: Sedimentary-hosted copper; (2) Zarkashan: Porphyry copper; (3) Kundalan: Porphyry copper; (4) Dusar Shaida: Volcanic-hosted massive sulphide; (5) Khanneshin: Carbonatite-hosted rare earth element; and (6) Chagai Hills: Porphyry copper.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111258","usgsCitation":"Drenth, B.J., 2011, Notes on interpretation of geophysical data over areas of mineralization in Afghanistan: U.S. Geological Survey Open-File Report 2011–1258, 13 p.","productDescription":"iv, 13 p.","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":371064,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1258/ofr20111258.pdf","text":"Report","size":"9.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2011-1258"},{"id":371063,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2011/1258/coverthb4.jpg"}],"country":"Afghanistan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60,29 ], [ 60,38 ], [ 75,38 ], [ 75,29 ], [ 60,29 ] ] ] } } ] }","contact":"<p><a href=\"https://www.usgs.gov/centers/gggsc\" data-mce-href=\"https://www.usgs.gov/centers/gggsc\">Crustal Geophysics and Geochemistry Science Center</a><br>Box 25046, Mail Stop 964<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Introduction</li><li>Aynak</li><li>Zarkashan</li><li>Kundalan</li><li>Dusar-Shaida</li><li>Khanneshin</li><li>Chagai Hills</li><li>Conclusions</li><li>References Cited</li></ul>","publishedDate":"2011-09-29","noUsgsAuthors":false,"publicationDate":"2011-09-29","publicationStatus":"PW","scienceBaseUri":"4f4e4afde4b07f02db696b70","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":352874,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70004245,"text":"70004245 - 2011 - Stable isotopes of transition and post-transition metals as tracers in environmental studies","interactions":[],"lastModifiedDate":"2015-10-28T11:12:46","indexId":"70004245","displayToPublicDate":"2015-05-11T09:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":13,"text":"Handbook"},"chapter":"10","title":"Stable isotopes of transition and post-transition metals as tracers in environmental studies","docAbstract":"<p>The transition and post-transition metals, which include the elements in Groups 3&ndash;12 of the Periodic Table, have a broad range of geological and biological roles as well as industrial applications and thus are widespread in the environment. Interdisciplinary research over the past decade has resulted in a broad understanding of the isotope systematics of this important group of elements and revealed largely unexpected variability in isotope composition for natural materials. Significant kinetic and equilibrium isotope fractionation has been observed for redox sensitive metals such as iron, chromium, copper, molybdenum and mercury, and for metals that are not redox sensitive in nature such as cadmium and zinc. In the environmental sciences, the isotopes are increasingly being used to understand important issues such as tracing of metal contaminant sources and fates, unraveling metal redox cycles, deciphering metal nutrient pathways and cycles, and developing isotope biosignatures that can indicate the role of biological activity in ancient and modern planetary systems.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of Environmental Isotope Geochemistry","largerWorkSubtype":{"id":13,"text":"Handbook"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-642-10637-8_10","usgsCitation":"Bullen, T.D., 2011, Stable isotopes of transition and post-transition metals as tracers in environmental studies, v. I, 27 p., https://doi.org/10.1007/978-3-642-10637-8_10.","productDescription":"27 p.","startPage":"177","endPage":"203","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027317","costCenters":[],"links":[{"id":310715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"I","publicComments":"Series: Advances in Isotope Geochemistry","noUsgsAuthors":false,"publicationDate":"2011-06-30","publicationStatus":"PW","scienceBaseUri":"5631f204e4b0c1dd0339e4fc","contributors":{"editors":[{"text":"Baskaran, Mark","contributorId":87867,"corporation":false,"usgs":false,"family":"Baskaran","given":"Mark","email":"","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":578529,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Bullen, Tomas D.","contributorId":64792,"corporation":false,"usgs":true,"family":"Bullen","given":"Tomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":578528,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045909,"text":"70045909 - 2011 - Mineral resource of the month: copper","interactions":[],"lastModifiedDate":"2013-05-08T17:40:11","indexId":"70045909","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: copper","docAbstract":"The article provides information on copper and its various uses. It was the first metal used by humans and is considered as one of the materials that played an important role in the development of civilization. It is a major industrial metal because of its low cost, availability, electrical conductivity, high ductility and thermal conductivity. Copper has long been used in the circuitry of electronics and the distribution of electricity and is now being used in silicon-based computer chips, solar and wind power generation, and coinage.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2011, Mineral resource of the month: copper: Earth, v. 56, no. 2, p. 28-29.","productDescription":"2 p.","startPage":"28","endPage":"29","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73e9e4b0037667dbc82a","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535504,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045915,"text":"70045915 - 2011 - Mineral resource of the month: molybdenum","interactions":[],"lastModifiedDate":"2013-05-08T19:46:33","indexId":"70045915","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: molybdenum","docAbstract":"The article offers information about the mineral molybdenum. Sources includes byproduct or coproduct copper-molybdenum deposits in the Western Cordillera of North and South America. Among the uses of molybdenum are stainless steel applications, as an alloy material for manufacturing vessels and as lubricants, pigments or chemicals. Also noted is the role played by molybdenum in renewable energy technology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Polyak, D.E., 2011, Mineral resource of the month: molybdenum: Earth, v. 56, no. 1, p. 25-25.","productDescription":"1 p.","startPage":"25","endPage":"25","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f0e4b0037667dbc883","contributors":{"authors":[{"text":"Polyak, Desire E.","contributorId":55715,"corporation":false,"usgs":true,"family":"Polyak","given":"Desire","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":478531,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038509,"text":"70038509 - 2011 - Behavioral, clinical, and pathological characterization of acid metalliferous water toxicity in mallards","interactions":[],"lastModifiedDate":"2020-01-15T06:12:24","indexId":"70038509","displayToPublicDate":"2012-06-04T12:13:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral, clinical, and pathological characterization of acid metalliferous water toxicity in mallards","docAbstract":"From September to November 2000, United States Fish and Wildlife Service biologists investigated incidents involving 221 bird deaths at 3 mine sites located in New Mexico and Arizona. These bird deaths primarily involved passerine and waterfowl species and were assumed to be linked to consumption of acid metalliferous water (AMW). Because all of the carcasses were found in or near pregnant leach solution ponds, tailings ponds, and associated lakes or storm water retention basins, an acute-toxicity study was undertaken using a synthetic AMW (SAMW) formulation based on the contaminant profile of a representative pond believed to be responsible for avian mortalities. An acute oral-toxicity trial was performed with a mixed-sex group of mallards (<i>Anas platyrhynchos</i>). After a 24-h pretreatment food and water fast, gorge drinking was evident in both SAMW treatment and control groups, with water consumption rates greatest during the initial drinking periods. Seven of nine treated mallards were killed in extremis within 12 h after the initiation of dose. Total lethal doses of SAMW ranged from 69.8 to 270.1 mL/kg (mean &plusmn; SE 127.9 &plusmn; 27.1). Lethal doses of SAMW were consumed in as few as 20 to 40 min after first exposure. Clinical signs of SAMW toxicity included increased serum uric acid, aspartate aminotransferase, creatine kinase, potassium, and P levels. PCV values of SAMW-treated birds were also increased compared with control mallards. Histopathological lesions were observed in the esophagus, proventriculus, ventriculus, and duodenum of SAMW-treated mallards, with the most distinctive being erosion and ulceration of the kaolin of the ventriculus, ventricular hemorrhage and/or congestion, and duodenal hemorrhage. Clinical, pathological, and tissue-residue results from this study are consistent with literature documenting acute metal toxicosis, especially copper (Cu), in avian species and provide useful diagnostic profiles for AMW toxicity or mortality events. Blood and kidney Cu concentrations were 23- and 6-fold greater, respectively, in SAMW mortalities compared with controls, whereas Cu concentrations in liver were not nearly as increased, suggesting that blood and kidney concentrations may be more useful than liver concentrations for diagnosing Cu toxicosis in wild birds. Based on these findings and other reports of AMW toxicity events in wild birds, we conclude that AMW bodies pose a significant hazard to wildlife that come in contact with them.","language":"English","publisher":"Springer","doi":"10.1007/s00244-011-9657-z","usgsCitation":"Isanhart, J., Wu, H., Pandher, K., MacRae, R.K., Cox, S., and Hooper, M.J., 2011, Behavioral, clinical, and pathological characterization of acid metalliferous water toxicity in mallards: Archives of Environmental Contamination and Toxicology, v. 61, no. 4, p. 653-667, https://doi.org/10.1007/s00244-011-9657-z.","productDescription":"15 p.","startPage":"653","endPage":"667","numberOfPages":"15","temporalStart":"2000-09-01","temporalEnd":"2000-11-30","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":257522,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, 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K.","contributorId":48018,"corporation":false,"usgs":true,"family":"MacRae","given":"Russell","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":464470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cox, Stephen B.","contributorId":101505,"corporation":false,"usgs":true,"family":"Cox","given":"Stephen B.","affiliations":[],"preferred":false,"id":464472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hooper, Michael J. 0000-0002-4161-8961 mhooper@usgs.gov","orcid":"https://orcid.org/0000-0002-4161-8961","contributorId":3251,"corporation":false,"usgs":true,"family":"Hooper","given":"Michael","email":"mhooper@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":464467,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70005087,"text":"70005087 - 2011 - Influence of dissolved organic carbon on toxicity of copper to a unionid mussel (<i>Villosa iris</i>) and a cladoceran (<i>Ceriodaphnia dubia</i>) in acute and chronic water exposures","interactions":[],"lastModifiedDate":"2020-01-21T16:14:21","indexId":"70005087","displayToPublicDate":"2012-05-21T10:50:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Influence of dissolved organic carbon on toxicity of copper to a unionid mussel (<i>Villosa iris</i>) and a cladoceran (<i>Ceriodaphnia dubia</i>) in acute and chronic water exposures","docAbstract":"Acute and chronic toxicity of copper (Cu) to a unionid mussel (<i>Villosa iris</i>) and a cladoceran (<i>Ceriodaphnia dubia</i>) were determined in water exposures at four concentrations of dissolved organic carbon (DOC; nominally 0.5, 2.5, 5, and 10 mg/L as carbon [C]). Test waters with DOC concentrations of 2.5 to 10 mg C/L were prepared by mixing a concentrate of natural organic matter (Suwannee River, GA, USA) in diluted well water (hardness 100 mg/L as CaCO<sub>3</sub>, pH 8.3, DOC 0.5 mg C/L). Acute median effect concentrations (EC50s) for dissolved Cu increased approximately fivefold (15&ndash;72 &mu;g Cu/L) for mussel survival in 4-d exposures and increased about 11-fold (25&ndash;267 &mu;g Cu/L) for cladoceran survival in 2-d exposures across DOC concentrations from 0.5 to 10 mg C/L. Similarly, chronic 20% effect concentrations (EC20s) for the mussel in 28-d exposures increased about fivefold (13&ndash;61 &mu;g Cu/L for survival; 8.8&ndash;38 &mu;g Cu/L for biomass), and the EC20s for the cladoceran in 7-d exposures increased approximately 17-fold (13&ndash;215 &mu;g Cu/L) for survival or approximately fourfold (12&ndash;42 &mu;g Cu/L) for reproduction across DOC concentrations from 0.5 to 10 mg C/L. The acute and chronic values for the mussel were less than or approximately equal to the values for the cladoceran. Predictions from the biotic ligand model (BLM) used to derive the U.S. Environmental Protection Agency's ambient water quality criteria (AWQC) for Cu explained more than 90% of the variation in the acute and chronic endpoints for the two species, with the exception of the EC20 for cladoceran reproduction (only 46% of variation explained). The BLM-normalized acute EC50s and chronic EC20s for the mussel and BLM-normalized chronic EC20s for the cladoceran in waters with DOC concentrations of 2.5 to 10 mg C/L were equal to or less than the final acute value and final chronic value in the BLM-based AWQC for Cu, respectively, indicating that the Cu AWQC might not adequately protect the mussel from acute and chronic exposure, and the cladoceran from chronic exposure.","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.596","usgsCitation":"Wang, N., Mebane, C.A., Kunz, J.L., Ingersoll, C.G., Brumbaugh, W.G., Santore, R.C., Gorsuch, J.W., and Arnold, W.R., 2011, Influence of dissolved organic carbon on toxicity of copper to a unionid mussel (<i>Villosa iris</i>) and a cladoceran (<i>Ceriodaphnia dubia</i>) in acute and chronic water exposures: Environmental Toxicology and Chemistry, v. 30, no. 9, p. 2115-2125, https://doi.org/10.1002/etc.596.","productDescription":"11 p.","startPage":"2115","endPage":"2125","numberOfPages":"11","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":257021,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-01","publicationStatus":"PW","scienceBaseUri":"505a3b28e4b0c8380cd62295","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":351976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":351977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":351975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":351974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Santore, Robert C.","contributorId":53206,"corporation":false,"usgs":true,"family":"Santore","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":351978,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gorsuch, Joseph W.","contributorId":76975,"corporation":false,"usgs":true,"family":"Gorsuch","given":"Joseph","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":351979,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arnold, W. Ray","contributorId":102721,"corporation":false,"usgs":true,"family":"Arnold","given":"W.","email":"","middleInitial":"Ray","affiliations":[],"preferred":false,"id":351980,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70037735,"text":"sir20115084 - 2011 - Cobalt mineral exploration and supply from 1995 through 2013","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20115084","displayToPublicDate":"2012-03-12T00:00:00","publicationYear":"2011","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":"2011-5084","title":"Cobalt mineral exploration and supply from 1995 through 2013","docAbstract":"The global mining industry has invested a large amount of capital in mineral exploration and development over the past 15 years in an effort to ensure that sufficient resources are available to meet future increases in demand for minerals. Exploration data have been used to identify specific sites where this investment has led to a significant contribution in global mineral supply of cobalt or where a significant increase in cobalt production capacity is anticipated in the next 5 years. This report provides an overview of the cobalt industry, factors affecting mineral supply, and circumstances surrounding the development, or lack thereof, of key mineral properties with the potential to affect mineral supply. Of the 48 sites with an effective production capacity of at least 1,000 metric tons per year of cobalt considered for this study, 3 producing sites underwent significant expansion during the study period, 10 exploration sites commenced production from 1995 through 2008, and 16 sites were expected to begin production by 2013 if planned development schedules are met.\r\n\r\nCobalt supply is influenced by economic, environmental, political, and technological factors affecting exploration for and production of copper, nickel, and other metals as well as factors affecting the cobalt industry. Cobalt-rich nickel laterite deposits were discovered and developed in Australia and the South Pacific and improvements in laterite processing technology took place during the 1990s and early in the first decade of the 21st century when mining of copper-cobalt deposits in Congo (Kinshasa) was restricted because of regional conflict and lack of investment in that country's mining sector. There was also increased exploration for and greater importance placed on cobalt as a byproduct of nickel mining in Australia and Canada. The emergence of China as a major refined cobalt producer and consumer since 2007 has changed the pattern of demand for cobalt, particularly from Africa and Australasia. Chinese companies are increasingly becoming involved in copper and cobalt exploration and mining in Congo (Kinshasa) and Zambia as well as nickel, copper, and other mining in Australia and the South Pacific. Between 2009 and 2013, mines with a cumulative capacity of more than 100,000 metric tons per year of cobalt were proposed to come into production if all sites came into production as scheduled. This additional capacity corresponds to 175 percent of the 2008 global refinery production level. About 45 percent of this cobalt would be from primary nickel deposits, about 32 percent from primary copper deposits, and about 21 percent from primary cobalt deposits. By 2013, about 40 percent of new capacity was expected to come from the African Copperbelt; 38 percent, from Australia and the South Pacific countries of Philippines, Indonesia, New Caledonia, and Papua New Guinea; 11 percent, from other African countries; 5 percent, from North America; and 6 percent, from other areas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115084","usgsCitation":"Wilburn, D.R., 2011, Cobalt mineral exploration and supply from 1995 through 2013: U.S. Geological Survey Scientific Investigations Report 2011-5084, iii, 16 p., https://doi.org/10.3133/sir20115084.","productDescription":"iii, 16 p.","onlineOnly":"Y","temporalStart":"1995-01-01","temporalEnd":"2013-12-31","costCenters":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":246621,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5084/","linkFileType":{"id":5,"text":"html"}},{"id":246626,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5084.gif"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f797e4b0c8380cd4cbcc","contributors":{"authors":[{"text":"Wilburn, David R. 0000-0002-5371-7617 wilburn@usgs.gov","orcid":"https://orcid.org/0000-0002-5371-7617","contributorId":1755,"corporation":false,"usgs":true,"family":"Wilburn","given":"David","email":"wilburn@usgs.gov","middleInitial":"R.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":462539,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70007118,"text":"tm5B8 - 2011 - Colorimetric determination of nitrate plus nitrite in water by enzymatic reduction, automated discrete analyzer methods","interactions":[],"lastModifiedDate":"2012-02-02T00:15:58","indexId":"tm5B8","displayToPublicDate":"2012-01-12T00:00:00","publicationYear":"2011","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-B8","title":"Colorimetric determination of nitrate plus nitrite in water by enzymatic reduction, automated discrete analyzer methods","docAbstract":"This report documents work at the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) to validate enzymatic reduction, colorimetric determinative methods for nitrate + nitrite in filtered water by automated discrete analysis. In these standard- and low-level methods (USGS I-2547-11 and I-2548-11), nitrate is reduced to nitrite with nontoxic, soluble nitrate reductase rather than toxic, granular, copperized cadmium used in the longstanding USGS automated continuous-flow analyzer methods I-2545-90 (NWQL laboratory code 1975) and I-2546-91 (NWQL laboratory code 1979). Colorimetric reagents used to determine resulting nitrite in aforementioned enzymatic- and cadmium-reduction methods are identical. The enzyme used in these discrete analyzer methods, designated AtNaR2 by its manufacturer, is produced by recombinant expression of the nitrate reductase gene from wall cress (Arabidopsis thaliana) in the yeast Pichia pastoris. Unlike other commercially available nitrate reductases we evaluated, AtNaR2 maintains high activity at 37&deg;C and is not inhibited by high-phenolic-content humic acids at reaction temperatures in the range of 20&deg;C to 37&deg;C. These previously unrecognized AtNaR2 characteristics are essential for successful performance of discrete analyzer nitrate + nitrite assays (henceforth, DA-AtNaR2) described here.\nMethod detection levels (or limits; MDL) estimated for standard- and low-level DA-AtNaR2 nitrate + nitrite methods were 0.02 milligrams nitrogen per liter (mg-N/L) and 0.002 mg-N/L, respectively, which are comparable to 2010 NWQL long-term MDLs of the continuous-flow analyzer, cadmium-reduction methods (henceforth, CFA-CdR) they replace. Typically, reagent-water blanks for standard- and low-level DAAtNaR2 nitrate + nitrite methods are one half MDL or less. Nitrate + nitrite concentration differences for between-day replicates were 3 percent or less at or above 5 times the MDL and were as great as 35 percent near the MDL. Typically, nitrate spike recoveries from reagent water, surface water, groundwater, and high-phenolic-content, humic-acid-amended reagent water were 100&plusmn;20 percent.\nIn addition to operational details and performance benchmarks for these new DA-AtNaR2 nitrate + nitrite assays, this report also provides results of interference studies for common inorganic and organic matrix constituents at 1, 10, and 100 times their median concentrations in surface-water and groundwater samples submitted annually to the NWQL for nitrate + nitrite analyses. Paired t-test and Wilcoxon signed-rank statistical analyses of results determined by CFA-CdR methods and DA-AtNaR2 methods indicate that nitrate concentration differences between population means or sign ranks were either statistically equivalent to zero at the 95 percent confidence level (p &ge; 0.05) or analytically equivalent to zero-that is, when p &lt; 0.05, concentration differences between population means or medians were less than MDLs.","largerWorkType":{"id":4,"text":"Book"},"largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm5B8","collaboration":"Prepared by the U.S. Geological Survey Office of Water Quality, National Water Quality Laboratory","usgsCitation":"Patton, C.J., and Kryskalla, J.R., 2011, Colorimetric determination of nitrate plus nitrite in water by enzymatic reduction, automated discrete analyzer methods: U.S. Geological Survey Techniques and Methods 5-B8, Book 5, Chapter 8; Report: xii, 34 p., https://doi.org/10.3133/tm5B8.","productDescription":"Book 5, Chapter 8; Report: xii, 34 p.","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":116431,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_5_B8.png"},{"id":112459,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/05b08/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f7c8e4b0c8380cd4ccd7","contributors":{"authors":[{"text":"Patton, Charles J. cjpatton@usgs.gov","contributorId":809,"corporation":false,"usgs":true,"family":"Patton","given":"Charles","email":"cjpatton@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":355861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kryskalla, Jennifer R.","contributorId":91563,"corporation":false,"usgs":true,"family":"Kryskalla","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":355862,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006270,"text":"ofr20111043 - 2011 - Assessment of soil-gas, seep, and soil contamination at the North Range Road Landfill, Fort Gordon, Georgia, 2008-2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"ofr20111043","displayToPublicDate":"2011-12-16T00:00:00","publicationYear":"2011","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":"2011-1043","title":"Assessment of soil-gas, seep, and soil contamination at the North Range Road Landfill, Fort Gordon, Georgia, 2008-2009","docAbstract":"Soil gas, seeps, and soil were assessed for contaminants at the North Range Road Landfill at Fort Gordon, Georgia, from October 2008 to September 2009. The assessment included delineating organic contaminants present in soil-gas samples beneath the area estimated to be the landfill and in water samples collected from three seeps at the base of the landfill. Inorganic contaminants were determined in three seep samples and in soil samples. This assessment was conducted to provide environmental contamination data to Fort Gordon pursuant to requirements for the Resource Conservation and Recovery Act Part B Hazardous Waste Permit process.\nAll soil-gas samples collected contained total petroleum hydrocarbons above the method detection level. The highest total petroleum hydrocarbon mass detected was nearly 50 micrograms (&mu;g) in a soil-gas sample from one of the three seeps. The highest BTEX mass detected was 0.83 &mu;g in a soil-gas sample collected near the same seep. Some soil-gas samples had perchloroethylene (known as PCE) mass greater than the method detection level of 0.01 microgram. The highest PCE mass detected was 0.73 &mu;g, and PCE mass was detected in soil gas in areas upgradient of the seeps and indicates that the seep contamination may be related to previous waste-disposal activities upgradient of the seeps\nNo organic or semivolatile compounds in the seep samples were detected above their respective maximum contaminant levels established in the U.S. Environmental Protection Agency National Primary Drinking Water Standards. PCE was detected in water from all three seeps at concentrations between 0.85 and 0.95 microgram per liter. Trimethylsilanol was detected in water collected from all three seeps and may be related to the degradation of silicone-based materials commonly disposed of in landfills.\nInorganic concentrations in water samples from one seep did not exceed any maximum contaminant levels in the National Secondary Drinking Water Standards. In water from one seep, however, iron was detected at 865 micrograms per liter, which exceeds the maximum contaminant level for iron in the Secondary Drinking Water Standard, and in water from the other seep, iron and manganese were detected at 492,000 and 10,700 micrograms per liter, repectively, both of which exceed the respective maximum contaminant levels for the Secondary Drinking Water Standard. Water from one of the seeps had concentrations of cadmium, copper, and zinc that exceed Georgia standards for in-stream water quality, and concentrations of arsenic and lead that exceed their respective maximum contaminant levels for the Primary Drinking Water Standards.\nInorganic concentrations in all four soil samples did not exceed regional screening levels established by the U.S. Environmental Protection Agency. Barium concentrations, however, were two to three times higher than the background concentrations reported in similar Coastal Plain sediments of South Carolina.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111043","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Landmeyer, J., Falls, W.F., Ratliff, W.H., and Wellborn, J.B., 2011, Assessment of soil-gas, seep, and soil contamination at the North Range Road Landfill, Fort Gordon, Georgia, 2008-2009: U.S. Geological Survey Open-File Report 2011-1043, vi, 21 p., https://doi.org/10.3133/ofr20111043.","productDescription":"vi, 21 p.","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":112049,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1043/","linkFileType":{"id":5,"text":"html"}},{"id":116852,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1043.jpg"}],"state":"Georgia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.36666666666666,32.233333333333334 ], [ -82.36666666666666,32.5 ], [ -82.06666666666666,32.5 ], [ -82.06666666666666,32.233333333333334 ], [ -82.36666666666666,32.233333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee59e4b0c8380cd49cf8","contributors":{"authors":[{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":354191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falls, W. Fred 0000-0003-2928-9795 wffalls@usgs.gov","orcid":"https://orcid.org/0000-0003-2928-9795","contributorId":2562,"corporation":false,"usgs":true,"family":"Falls","given":"W.","email":"wffalls@usgs.gov","middleInitial":"Fred","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":354190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ratliff, W. Hagan","contributorId":60347,"corporation":false,"usgs":true,"family":"Ratliff","given":"W.","email":"","middleInitial":"Hagan","affiliations":[],"preferred":false,"id":354193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wellborn, John B.","contributorId":24822,"corporation":false,"usgs":true,"family":"Wellborn","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":354192,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70004568,"text":"70004568 - 2011 - Structural controls and evolution of gold-, silver-, and REE-bearing copper-cobalt ore deposits, Blackbird district, east-central Idaho: Epigenetic origins","interactions":[],"lastModifiedDate":"2018-01-31T10:13:08","indexId":"70004568","displayToPublicDate":"2011-12-08T10:23:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Structural controls and evolution of gold-, silver-, and REE-bearing copper-cobalt ore deposits, Blackbird district, east-central Idaho: Epigenetic origins","docAbstract":"<p>The Cu-Co &plusmn; Au (&plusmn; Ag &plusmn; Ni &plusmn; REE) ore deposits of the Blackbird district, east-central Idaho, have previously been classified as Besshi-type VMS, sedex, and IOCG deposits within an intact stratigraphic section. New studies indicate that, across the district, mineralization was introduced into the country rocks as a series of structurally controlled vein and alteration systems. Quartz-rich and biotite-rich veins (and alteration zones) and minor albite and siderite veinlets maintain consistent order and sulfide mineral associations across the district. Both early and late quartz veins contain chalcopyrite and pyrite, whereas intermediate-stage tourmaline-biotite veins host the cobaltite. Barren early and late albite and late carbonate (generally siderite) form veins or are included in the quartz veins. REE minerals, principally monazite, allanite, and xenotime, are associated with both tourmaline-biotite and late quartz veins. The veins are in mineralized intervals along axial planar cleavage, intrafolial foliation, and shears.</p>\n<p>Mineralized intervals are hosted by a variety of metasedimentary rocks, including three phyllitic units of Mesoproterozoic age and two schistose units. All of these units are S-tectonites in the footwall of a regional thrust fault. Specifically, the district lies within an oblique thrust ramp containing a series of structural horses (three domains) in a duplex system. The deposits span the three domains and are hosted by metamorphic rocks that range from lower amphibolite facies in the structurally upper domain to lower-middle greenschist facies in the lower domain (an inverted metamorphic sequence). Early quartz and biotite veins were introduced during progressive folding and prolonged peak metamorphic conditions and they underwent late-tectonic retrograde recrystallization and metamorphic mineral growth, to the same extent as the country rocks in each domain. Where little subsequent deformation occurred, early veins are discordant to bedding but, where folding was polyphase and fabrics are penetrative, mineralized zones are concordant with metamorphic compositional layering. Late quartz veins in the zones are associated with retrograde minerals and textures and are only locally deformed. <sup>40</sup>Ar/<sup>39</sup>Ar dating of unoriented muscovite from the selvage of a late quartz vein yields a Late Cretaceous age of about 83 Ma, the time of retrograde metamorphism associated with introduction of late quartz veins.</p>\n<p>Textural data at all scales indicate that the host sites for veins and the tectonic evolution of both host rocks and mineral deposits were kinematically linked to Late Cretaceous regional thrust faulting. Heat, fluids, and conduits for generation and circulation of fluids were part of the regional crustal thickening. The faulting also juxtaposed metaevaporite layers in the Mesoproterozoic Yellowjacket Formation over Blackbird district host rocks. We conclude that this facilitated chemical exchange between juxtaposed units resulting in leaching of critical elements (Cl, K, B, Na) from metaevaporites to produce brines, scavenging of metals (Co, Cu, etc) from rocks in the region, and, finally, concentrating metals in the lower-plate ramp structures. Although the ultimate source of the metals remains undetermined, the present Cu-Co &plusmn; Au (&plusmn; Ag &plusmn; Ni &plusmn; REE) Blackbird ore deposits formed during Late Cretaceous compressional deformation</p>.","language":"English","publisher":"Society of Economic Geologists","publisherLocation":"Littleton, CO","doi":"10.2113/econgeo.106.4.585","usgsCitation":"Lund, K., Tysdal, R.G., Evans, K.V., Kunk, M.J., and Pillers, R.M., 2011, Structural controls and evolution of gold-, silver-, and REE-bearing copper-cobalt ore deposits, Blackbird district, east-central Idaho: Epigenetic origins: Economic Geology, v. 106, no. 4, p. 585-618, https://doi.org/10.2113/econgeo.106.4.585.","productDescription":"34 p.","startPage":"585","endPage":"618","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":204205,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","volume":"106","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"505b9bd9e4b08c986b31d114","contributors":{"authors":[{"text":"Lund, K.","contributorId":49500,"corporation":false,"usgs":true,"family":"Lund","given":"K.","affiliations":[],"preferred":false,"id":350734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tysdal, Russell G.","contributorId":1700,"corporation":false,"usgs":true,"family":"Tysdal","given":"Russell","email":"","middleInitial":"G.","affiliations":[],"preferred":true,"id":350733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, Karl V. kvevans@usgs.gov","contributorId":194,"corporation":false,"usgs":true,"family":"Evans","given":"Karl","email":"kvevans@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":350736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kunk, Michael J. 0000-0003-4424-7825 mkunk@usgs.gov","orcid":"https://orcid.org/0000-0003-4424-7825","contributorId":200968,"corporation":false,"usgs":true,"family":"Kunk","given":"Michael","email":"mkunk@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":350737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pillers, Renee M. 0000-0003-4929-1569 rpillers@usgs.gov","orcid":"https://orcid.org/0000-0003-4929-1569","contributorId":2501,"corporation":false,"usgs":true,"family":"Pillers","given":"Renee","email":"rpillers@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":350735,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70006193,"text":"sir20115185 - 2011 - Water quality of the Chokosna, Gilahina, Lakina Rivers, and Long Lake watershed along McCarthy Road, Wrangell-St. Elias National Park and Preserve, Alaska, 2007-08","interactions":[],"lastModifiedDate":"2018-07-07T18:16:27","indexId":"sir20115185","displayToPublicDate":"2011-12-04T08:45:00","publicationYear":"2011","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":"2011-5185","title":"Water quality of the Chokosna, Gilahina, Lakina Rivers, and Long Lake watershed along McCarthy Road, Wrangell-St. Elias National Park and Preserve, Alaska, 2007-08","docAbstract":"The Chokosna, Gilahina, and Lakina River basins, and the Long Lake watershed are located along McCarthy Road in Wrangell&ndash;St. Elias National Park and Preserve. The rivers and lake support a large run of sockeye (red) salmon that is important to the commercial and recreational fisheries in the larger Copper River. To gain a better understanding of the water quality conditions of these watersheds, these basins were studied as part of a cooperative study with the National Park Service during the open water periods in 2007 and 2008.  Water type of the rivers and Long Lake is calcium bicarbonate with the exception of that in the Chokosna River, which is calcium bicarbonate sulfate water. Alkalinity concentrations ranged from 63 to 222 milligrams per liter, indicating a high buffering capacity in these waters. Analyses of streambed sediments indicated that concentrations of the trace elements arsenic, chromium, and nickel exceed levels that might be toxic to fish and other aquatic organisms. However, these concentrations reflect local geology rather than anthropogenic sources in this nearly pristine area.  Benthic macroinvertebrate qualitative multi-habitat and richest targeted habitat samples collected from six stream sites along McCarthy Road indicated a total of 125 taxa. Insects made up the largest percentage of macroinvertebrates, totaling 83 percent of the families found. Dipterans (flies and midges) accounted for 43 percent of all macroinvertebrates found. Analysis of the macroinvertebrate data by non-metric multidimensional scaling indicated differences between (1) sites at Long Lake and other stream sites along McCarthy Road, likely due to different basin characteristics, (2) the 2007 and 2008 data, probably from the higher rainfall in 2008, and (3) macroinvertebrate data collected in south-central Alaska, which represents a different climate zone. The richness, abundance, and community composition of periphytic algae taxa was variable between sampling sites. Taxa richness and diversity were highest at the Long Lake outflow site, suggesting that the lake may have contributed planktonic taxa to the periphytic community and (or) created physical and chemical conditions at the outlet that were favorable to a variety of taxa.  Long Lake is fed by groundwater and by clear water (non glacial) streams, resulting in relatively high Secchi-disc readings ranging from 17.5 to 23 feet. Depth profiles of water temperature in the lake show a strong stratification during the summer from the surface to about 13 feet, with temperatures ranging from 16 to 5 &deg;C. Depth profiles of dissolved oxygen in the lake show a strong stratification between 26 and 33 feet, below which the concentrations of dissolved oxygen decrease from 10 to 2 milligrams per liter. Because the Long Lake outlet stream supports a large run of sockeye salmon and water temperature is an important factor during its life cycle, a logistic model was used to simulate 1998&ndash;2006 water temperatures at this site. Analysis of simulation results for 1998&ndash;2008 indicated no significant trends in water temperature. 2007 water temperatures were the highest during the 10-year period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115185","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Brabets, T.P., Ourso, R.T., Miller, M.P., and Brasher, A.M., 2011, Water quality of the Chokosna, Gilahina, Lakina Rivers, and Long Lake watershed along McCarthy Road, Wrangell-St. Elias National Park and Preserve, Alaska, 2007-08: U.S. Geological Survey Scientific Investigations Report 2011-5185, viii, 56 p., https://doi.org/10.3133/sir20115185.","productDescription":"viii, 56 p.","numberOfPages":"68","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":111028,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5185/","linkFileType":{"id":5,"text":"html"}},{"id":116750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5185.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chokosna River;Gilahina River;Lakina River;Long Lake Watershed;Wrangell-st.Elias National Park And Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -146.83333333333334,59.166666666666664 ], [ -146.83333333333334,62.833333333333336 ], [ -137.83333333333334,62.833333333333336 ], [ -137.83333333333334,59.166666666666664 ], [ -146.83333333333334,59.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc8e2e4b08c986b32cb6e","contributors":{"authors":[{"text":"Brabets, Timothy P. tbrabets@usgs.gov","contributorId":2087,"corporation":false,"usgs":true,"family":"Brabets","given":"Timothy","email":"tbrabets@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":354047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ourso, Robert T. 0000-0002-5952-8681 rtourso@usgs.gov","orcid":"https://orcid.org/0000-0002-5952-8681","contributorId":203207,"corporation":false,"usgs":true,"family":"Ourso","given":"Robert","email":"rtourso@usgs.gov","middleInitial":"T.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":354049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":354048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brasher, Anne M. D. abrasher@usgs.gov","contributorId":1715,"corporation":false,"usgs":true,"family":"Brasher","given":"Anne","email":"abrasher@usgs.gov","middleInitial":"M. D.","affiliations":[],"preferred":true,"id":354046,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005949,"text":"sir20105160 - 2011 - Highway-runoff quality, and treatment efficiencies of a hydrodynamic-settling device and a stormwater-filtration device in Milwaukee, Wisconsin","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20105160","displayToPublicDate":"2011-11-16T00:00:00","publicationYear":"2011","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":"2010-5160","title":"Highway-runoff quality, and treatment efficiencies of a hydrodynamic-settling device and a stormwater-filtration device in Milwaukee, Wisconsin","docAbstract":"The treatment efficiencies of two prefabricated stormwater-treatment devices were tested at a freeway site in a high-density urban part of Milwaukee, Wisconsin. One treatment device is categorized as a hydrodynamic-settling device (HSD), which removes pollutants by sedimentation and flotation. The other treatment device is categorized as a stormwater-filtration device (SFD), which removes pollutants by filtration and sedimentation. During runoff events, flow measurements were recorded and water-quality samples were collected at the inlet and outlet of each device. Efficiency-ratio and summation-of-load (SOL) calculations were used to estimate the treatment efficiency of each device. Event-mean concentrations and loads that were decreased by passing through the HSD include total suspended solids (TSS), suspended sediment (SS), total phosphorus (TP), total copper (TCu), and total zinc (TZn). The efficiency ratios for these constituents were 42, 57, 17, 33, and 23 percent, respectively. The SOL removal rates for these constituents were 25, 49, 10, 27, and 16 percent, respectively. Event-mean concentrations and loads that increased by passing through the HSD include chloride (Cl), total dissolved solids (TDS), and dissolved zinc (DZn). The efficiency ratios for these constituents were -347, -177, and 20 percent, respectively. Four constituents&mdash;dissolved phosphorus (DP), chemical oxygen demand (COD), total polycyclic aromatic hydrocarbon (PAH), and dissolved copper (DCu)&mdash;are not included in the list of computed efficiency ratio and SOL because the variability between sampled inlet and outlet pairs were not significantly different. Event-mean concentrations and loads that decreased by passing through the SFD include TSS, SS, TP, DCu, TCu, DZn, TZn, and COD. The efficiency ratios for these constituents were 59, 90, 40, 21, 66, 23, 66, and 18, respectively. The SOLs for these constituents were 50, 89, 37, 19, 60, 20, 65, and 21, respectively. Two constituents&mdash;DP and PAH&mdash;are not included in the lists of computed efficiency ratio and SOL because the variability between sampled inlet and outlet pairs were not significantly different. Similar to the HSD, the average efficiency ratios and SOLs for TDS and Cl were negative. Flow rates, high concentrations of SS, and particle-size distributions (PSD) can affect the treatment efficacies of the two devices. Flow rates equal to or greater than the design flow rate of the HSD had minimal or negative removal efficiencies for TSS and SS loads. Similar TSS removal efficiencies were observed at the SFD, but SS was consistently removed throughout the flow regime. Removal efficiencies were high for both devices when concentrations of SS and TSS approached 200 mg/L. A small number of runoff events were analyzed for PSD; the average sand content at the HSD was 33 percent and at the SFD was 71 percent. The 71-percent sand content may reflect the 90-percent removal efficiency of SS at the SFD. Particles retained at the bottom of both devices were largely sand-size or greater.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105160","collaboration":"Prepared in cooperation with the Wisconsin Department of Transportation and the Wisconsin Department of Natural Resources","usgsCitation":"Horwatich, J.A., Bannerman, R.T., and Pearson, R., 2011, Highway-runoff quality, and treatment efficiencies of a hydrodynamic-settling device and a stormwater-filtration device in Milwaukee, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2010-5160, vii, 40 p.; Appendices, https://doi.org/10.3133/sir20105160.","productDescription":"vii, 40 p.; Appendices","startPage":"i","endPage":"76","numberOfPages":"83","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":116427,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5160.jpg"},{"id":110850,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5160/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wisconsin","county":"Milwaukee County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.5,41 ], [ -88.5,43.5 ], [ -87,43.5 ], [ -87,41 ], [ -88.5,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db688763","contributors":{"authors":[{"text":"Horwatich, Judy A. 0000-0003-0582-0836 jahorwat@usgs.gov","orcid":"https://orcid.org/0000-0003-0582-0836","contributorId":1388,"corporation":false,"usgs":true,"family":"Horwatich","given":"Judy","email":"jahorwat@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearson, Robert","contributorId":50409,"corporation":false,"usgs":true,"family":"Pearson","given":"Robert","affiliations":[],"preferred":false,"id":353521,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005886,"text":"ofr20111267 - 2011 - Assessment of Hyporheic Zone, Flood-Plain, Soil-Gas, Soil, and Surface-Water Contamination at the McCoys Creek Chemical Training Area, Fort Gordon, Georgia, 2009-2010","interactions":[],"lastModifiedDate":"2016-12-08T14:53:31","indexId":"ofr20111267","displayToPublicDate":"2011-11-07T00:00:00","publicationYear":"2011","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":"2011-1267","title":"Assessment of Hyporheic Zone, Flood-Plain, Soil-Gas, Soil, and Surface-Water Contamination at the McCoys Creek Chemical Training Area, Fort Gordon, Georgia, 2009-2010","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon, Georgia, assessed the hyporheic zone, flood plain, soil gas, soil, and surface water for contaminants at the McCoys Creek Chemical Training Area (MCTA) at Fort Gordon, from October 2009 to September 2010. The assessment included the detection of organic contaminants in the hyporheic zone, flood plain, soil gas, and surface water. In addition, the organic contaminant assessment included the analysis of organic compounds classified as explosives and chemical agents in selected areas. Inorganic contaminants were assessed in soil and surface-water samples. The assessment was conducted to provide environmental contamination data to the U.S. Army at Fort Gordon pursuant to requirements of the Resource Conservation and Recovery Act Part B Hazardous Waste Permit process. Ten passive samplers were deployed in the hyporheic zone and flood plain, and total petroleum hydrocarbons (TPH) and octane were detected above the method detection level in every sampler. Other organic compounds detected above the method detection level in the hyporheic zone and flood-plain samplers were trichloroethylene, and cis- and trans- 1, 2-dichloroethylene. One trip blank detected TPH below the method detection level but above the nondetection level. The concentrations of TPH in the samplers were many times greater than the concentrations detected in the blank; therefore, all other TPH concentrations detected are considered to represent environmental conditions. Seventy-one soil-gas samplers were deployed in a grid pattern across the MCTA. Three trip blanks and three method blanks were used and not deployed, and TPH was detected above the method detection level in two trip blanks and one method blank. Detection of TPH was observed at all 71 samplers, but because TPH was detected in the trip and method blanks, TPH was censored and, therefore, only 7 of the 71 samplers were reported as detecting TPH. In addition, benzene, toluene, ethylbenzene, and total xylene were detected above the method detection level in 22 samplers. Other compounds detected above the method detection level included naphthalene, octane, undecane, tridecane, 1,2,4-trimethylbenzene, trichloroethylene, perchloroethylene, chloroform, and 1,4-dichlorobenzene. Subsequent to the soil-gas survey, five locations with elevated contaminant mass were selected and a passive sampler was deployed at those locations to detect the presence of organic compounds classified as explosives or chemical agents. No explosives or chemical agents were detected above the method detection level, but some compounds were detected below the method detection level but above the nondetection level. Dimethyl disulfide, benzothiazole, chloroacetophenones, and para-chlorophenyl methyl sulfide were all detected below the method detection level but above the nondetection level. The compounds 2,4-dinitrotoluene, and para-chlorophenyl methyl sulfone were detected in samplers but also were detected in trip blanks and are not considered as present in the MCTA. The same five locations that were selected for sampling of explosives and chemical agents were selected for soil sampling. Metal concentrations in composite soil samples collected at five locations from land surface to a depth of 6 inches did not exceed the U.S. Environmental Protection Agency Regional Screening Levels for Industrial Soil. Concentrations in some compounds were higher than the South Carolina Department of Health and Environmental Control background levels for nearby South Carolina, including aluminum, arsenic, barium, beryllium, chromium, copper, iron, lead, manganese, nickel, and potassium. A surface-water sample was collected from McCoys Creek and analyzed for volatile organic compounds, semivolatile organic compounds, and inorganic compounds (metals). No volatile organic compounds and (or) semivolatile organic compounds were detected at levels above the maximum contaminant level of the U.S. Environmental Protection Agency (USEPA) National Primary Drinking Water Standard, and no inorganic compounds exceeded the maximum contaminant level of the USEPA National Primary Drinking Water Standard or the Georgia In-Stream Water-Quality Standard. Iron was the only inorganic compound detected in the surface-water sample (578 micrograms per liter) that exceeded the USEPA National Secondary Drinking Water Standard of 300 micrograms per liter.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111267","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Guimaraes, W.B., Falls, W.F., Caldwell, A.W., Ratliff, W.H., Wellborn, J.B., and Landmeyer, J., 2011, Assessment of Hyporheic Zone, Flood-Plain, Soil-Gas, Soil, and Surface-Water Contamination at the McCoys Creek Chemical Training Area, Fort Gordon, Georgia, 2009-2010: U.S. Geological Survey Open-File Report 2011-1267, v, 14 p.; Tables, https://doi.org/10.3133/ofr20111267.","productDescription":"v, 14 p.; Tables","temporalStart":"2009-10-01","temporalEnd":"2010-09-30","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116534,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1267.jpg"},{"id":94687,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1267/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","city":"Augusta","otherGeospatial":"Coastal Plain Physiographic Province, Fort Gordon, Mccoys Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.42355346679688,\n              33.247301699949205\n            ],\n            [\n              -82.42355346679688,\n              33.54940663754663\n            ],\n            [\n              -82.01774597167969,\n              33.54940663754663\n            ],\n            [\n              -82.01774597167969,\n              33.247301699949205\n            ],\n            [\n              -82.42355346679688,\n              33.247301699949205\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672931","contributors":{"authors":[{"text":"Guimaraes, Wladmir B. wbguimar@usgs.gov","contributorId":3818,"corporation":false,"usgs":true,"family":"Guimaraes","given":"Wladmir","email":"wbguimar@usgs.gov","middleInitial":"B.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falls, W. Fred 0000-0003-2928-9795 wffalls@usgs.gov","orcid":"https://orcid.org/0000-0003-2928-9795","contributorId":107754,"corporation":false,"usgs":true,"family":"Falls","given":"W.","email":"wffalls@usgs.gov","middleInitial":"Fred","affiliations":[],"preferred":false,"id":353442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":3228,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral","email":"acaldwel@usgs.gov","middleInitial":"W.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ratliff, W. Hagan","contributorId":60347,"corporation":false,"usgs":true,"family":"Ratliff","given":"W.","email":"","middleInitial":"Hagan","affiliations":[],"preferred":false,"id":353441,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wellborn, John B.","contributorId":24822,"corporation":false,"usgs":true,"family":"Wellborn","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":353440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353438,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044886,"text":"70044886 - 2011 - Mineral resource of the month: tin","interactions":[],"lastModifiedDate":"2013-05-08T17:37:57","indexId":"70044886","displayToPublicDate":"2011-11-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: tin","docAbstract":"Tin was one of the earliest-known metals. Because of its hardening effect on copper, tin was used in bronze implements as early as 3500 B.C. Bronze, a copper-tin alloy that can be sharpened and is hard enough to retain a cutting edge, was used during the Bronze Age in construction tools as well as weapons for hunting and war. The geographical separation between tin-producing and tin-consuming nations greatly influenced the patterns of early trade routes. Historians think that as early as 1500 B.C., Phoenicians traveled by sea to the Cornwall district of England to obtain tin. The pure metal was not used unalloyed until about 600 B.C.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geosciences Institute","publisherLocation":"Reston, VA","usgsCitation":"Carlin, J.F., 2011, Mineral resource of the month: tin: Earth, v. 56, no. 11, p. 21-21.","productDescription":"1 p.","startPage":"21","endPage":"21","additionalOnlineFiles":"N","ipdsId":"IP-032230","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270022,"type":{"id":11,"text":"Document"},"url":"https://www.agiweb.org/store/library/imprint.php?id=2011_11"}],"volume":"56","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5151720be4b087909f0bbef0","contributors":{"authors":[{"text":"Carlin, James F. Jr. jcarlin@usgs.gov","contributorId":2685,"corporation":false,"usgs":true,"family":"Carlin","given":"James","suffix":"Jr.","email":"jcarlin@usgs.gov","middleInitial":"F.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":476433,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005843,"text":"sir20105090c - 2011 - Porphyry copper assessment of British Columbia and Yukon Territory, Canada: Chapter C in <i>Global mineral resource assessment</i>","interactions":[{"subject":{"id":70005843,"text":"sir20105090c - 2011 - Porphyry copper assessment of British Columbia and Yukon Territory, Canada: Chapter C in <i>Global mineral resource assessment</i>","indexId":"sir20105090c","publicationYear":"2011","noYear":false,"chapter":"C","title":"Porphyry copper assessment of British Columbia and Yukon Territory, Canada: Chapter C in <i>Global mineral resource assessment</i>"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2015-06-19T10:52:47","indexId":"sir20105090c","displayToPublicDate":"2011-10-28T00:00:00","publicationYear":"2011","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":"2010-5090","chapter":"C","title":"Porphyry copper assessment of British Columbia and Yukon Territory, Canada: Chapter C in <i>Global mineral resource assessment</i>","docAbstract":"<p>The U.S. Geological Survey does regional, national, and global assessments of resources (mineral, energy, water, biologic) to provide science in support of land management and decision making. Mineral resource assessments provide a synthesis of available information about where mineral deposits are known and suspected to be in the Earth&rsquo;s crust, which commodities may be present, and estimates of amounts of resources that may be present in undiscovered deposits.</p>\n<p>Canada is an important source of copper, consistently ranking as one of the top 10 world producers during the past decade (2000&ndash;2010). The preponderance of this production has been from porphyry-copper-type deposits in the western Canadian Cordillera. A probabilistic mineral resource assessment of undiscovered resources associated with porphyry copper deposits in western Canada was completed as part of a global mineral resource assessment. The purpose of the assessment was to (1) compile a database of known deposits and significant prospects, (2) delineate permissive areas (tracts) for undiscovered porphyry copper deposits that may be present in the upper kilometer (minimally) of the Earth&rsquo;s crust, and (3) provide probabilistic estimates of amounts of copper (Cu), molybdenum (Mo), gold (Au), and silver (Ag) that could be contained in undiscovered porphyry copper deposits in the tracts. The study was done by the U.S. Geological Survey (USGS) in collaboration with geologists from the British Columbia Geological Survey, Yukon Geological Survey, and industry consultants.</p>\n<p>The database of known deposits and significant prospects includes an inventory of mineral resources in 89 known porphyry copper (and 2 related copper-bearing polymetallic vein) ore zones, representing 50 porphyry copper deposits, and lists key characteristics of 280 additional porphyry copper and related copper-bearing prospects, as indicated by currently available exploration results, which also are summarized. Resource and exploration and development activity are updated with information current through April 2010.</p>\n<p>The delineation of permissive tracts and probabilistic estimation of resources in undiscovered deposits were done using the USGS three-part mineral resource assessment approach. Permissive tracts are defined in accordance with descriptive models for porphyry copper deposits to include igneous rocks and known deposits and prospects within magmatic arcs related to convergent plate-margin boundary zones. Frequency distributions of total tonnages and average grades of thoroughly explored deposits were used as models for undiscovered deposits and include a new grade and tonnage model for calc-alkaline porphyry Cu&plusmn;Mo&plusmn;Au deposits in western Canada.</p>\n<p>Five permissive tracts for the occurrence of porphyry copper deposits were delineated: 2 island-arc tracts, 1 tract of transitional, mixed island-arc and continental arc affinities, and 2 continental arc tracts. In permissive tract 003pCu2001, calc-alkaline igneous rocks of Middle Triassic to Late Jurassic age in accreted island-arc terranes of the Intermontane belt are assessed for calc-alkaline porphyry Cu&plusmn;Mo&plusmn;Au deposits. The area of this tract is 175,250 km<sup>2</sup>. In 12 known deposits, the total reported tonnage of ore is 8,100 million metric tons (Mt) containing 24.6 Mt copper. An estimated 6.9 undiscovered deposits contain a calculated mean of 8.9 Mt copper and a median of 6.9 Mt copper. The spatial density for the 18.9 known plus estimated undiscovered deposits in this tract is approximately 11 deposits per 100,000 km<sup>2</sup>.</p>\n<p>In permissive tract 003pCu2002, alkaline igneous rocks of Middle Triassic to Late Jurassic age within the Intermontane accreted island-arc terranes are assessed for alkaline porphyry Cu-Au deposits. The area of this tract is 109,290 km<sup>2</sup>. In 12 known deposits the total reported tonnage of ore is 6,440 Mt, containing 20.9 Mt copper. An estimated 7 undiscovered deposits contain a calculated mean of 22 Mt copper and a median of 13 Mt copper. The spatial density for the 19 known plus estimated undiscovered deposits in this tract is approximately 17 deposits per 100,000 km<sup>2</sup>.</p>\n<p>In permissive tract 003pCu2003, calc-alkaline igneous rocks of Late Triassic to Early Cretaceous age within the accreted Insular terranes of mixed island-arc and continental arc affinities are assessed for calc-alkaline porphyry Cu&plusmn;Mo&plusmn;Au deposits. The area of this tract is 58,360 km<sup>2</sup>. The total tonnage of ore reported in the 2 known deposits is 1,160 Mt containing 3.17 Mt copper. An estimated 2.3 undiscovered deposits contain a calculated mean of 3 Mt copper and a median of 1.9 Mt copper. The spatial density for the 4.3 known plus estimated undiscovered deposits in this tract is approximately 7 deposits per 100,000 km<sup>2</sup>.</p>\n<p>In permissive tract 003pCu2004, calc-alkaline igneous rocks in continental magmatic arcs of Jurassic to Eocene age are assessed for porphyry Cu&plusmn;Mo&plusmn;Au deposits. The area of this tract is 639,500 km<sup>2</sup>. The total tonnage of ore reported for the 23 known deposits is 6,520 Mt containing 17.9 Mt copper. An estimated 9.6 undiscovered deposits contain a calculated mean of 13 Mt copper and a median of 11 Mt copper. The spatial density for the 32.6 known deposits plus the estimated undiscovered deposits in this tract is approximately 5 deposits per 100,000 km<sup>2</sup>.</p>\n<p>In permissive tract 003pCu2005, calc-alkaline igneous rocks in continental magmatic arcs of Oligocene to Pliocene age are assessed for porphyry Cu&plusmn;Mo&plusmn;Au deposits. The area of this tract is 32,840 km<sup>2</sup>. The total tonnage of ore reported for the 1 known deposit is 44.8 Mt containing 0.224 Mt copper. An estimated 1.4 undiscovered deposits contain a calculated mean of 1.8 Mt copper and a median of 0.72 Mt copper. The spatial density for the 2.4 known plus estimated undiscovered deposits in this permissive tract is approximately 7 deposits per 100,000 km<sup>2</sup>.</p>\n<p>Western Canada has been thoroughly explored for porphyry copper deposits. The total estimated copper contained in known deposits is about 66.8 Mt (based on 2010 data), as compared to a 49 Mt mean of estimated copper in undiscovered deposits and a 34 Mt median of estimated copper in undiscovered deposits. The copper contained in known porphyry copper deposits represents about 58 percent of the total of known and undiscovered porphyry copper deposits (based on mean values). About 86 percent of the increase in estimated copper resources between 1993 and 2009 resulted from the discovery of extensions to known deposits. Nevertheless, exploration for undiscovered deposits continues, especially in and around significant prospects and in parts of permissive tracts that are mostly hidden beneath younger volcanic, sedimentary, or vegetated surficial cover.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment (Scientific Investigations Report 2010-5090)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090c","collaboration":"Prepared in cooperation with the British Columbia Geological Survey, Yukon Geological Survey, and XDM Geological Consultants, Inc.","usgsCitation":"Mihalasky, M.J., Bookstrom, A.A., Frost, T.P., and Ludington, S., 2011, Porphyry copper assessment of British Columbia and Yukon Territory, Canada: Chapter C in <i>Global mineral resource assessment</i> (Version 1.0: Originally posted October 2011; Version 1.1: February 2013): U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: x, 128 p.; Appendix F Table; Appendix H GIS Data, https://doi.org/10.3133/sir20105090c.","productDescription":"Report: x, 128 p.; Appendix F Table; Appendix H GIS Data","numberOfPages":"142","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":204177,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5090_C.gif"},{"id":301355,"rank":103,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2010/5090/c/sir2010-5090c_appendix_h.zip","text":"Appendix H GIS data","size":"12.8 MB","linkFileType":{"id":6,"text":"zip"},"description":"Appendix H","linkHelpText":"Geographic Information System (GIS) Files Representing the Porphyry Copper Mineral Resource Assessment Permissive Tracts, Deposits and Significant Prospects, and Accompanying Metadata, Porphyry Copper Assessment, British Columbia and Yukon Territory, Canada"},{"id":301353,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/c/sir2010-5090c_text.pdf","text":"Report","size":"13.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":94466,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5090/c/","linkFileType":{"id":5,"text":"html"}},{"id":301354,"rank":102,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2010/5090/c/appendix_f","text":"Appendix F table","description":"Appendix F","linkHelpText":"Table of Attributes of Porphyry Copper Deposits and Prospects, British Columbia and Yukon Territory, Canada (given in several file formats)"}],"country":"Canada","state":"British Columbia, Yukon Territory","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": 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A. 0000-0003-1336-3364 abookstrom@usgs.gov","orcid":"https://orcid.org/0000-0003-1336-3364","contributorId":1542,"corporation":false,"usgs":true,"family":"Bookstrom","given":"Arthur","email":"abookstrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":353363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frost, Thomas P. 0000-0001-8348-8432 tfrost@usgs.gov","orcid":"https://orcid.org/0000-0001-8348-8432","contributorId":203,"corporation":false,"usgs":true,"family":"Frost","given":"Thomas","email":"tfrost@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":353362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ludington, Steve","contributorId":106848,"corporation":false,"usgs":true,"family":"Ludington","given":"Steve","affiliations":[],"preferred":false,"id":353365,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005781,"text":"ofr20111271 - 2011 - Organic contaminants, trace and major elements, and nutrients in water and sediment sampled in response to the Deepwater Horizon oil spill","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ofr20111271","displayToPublicDate":"2011-10-19T00:00:00","publicationYear":"2011","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":"2011-1271","title":"Organic contaminants, trace and major elements, and nutrients in water and sediment sampled in response to the Deepwater Horizon oil spill","docAbstract":"Beach water and sediment samples were collected along the Gulf of Mexico coast to assess differences in contaminant concentrations before and after landfall of Macondo-1 well oil released into the Gulf of Mexico from the sinking of the British Petroleum Corporation's Deepwater Horizon drilling platform. Samples were collected at 70 coastal sites on the Gulf of Mexico between May 7 and July 7, 2010, to document baseline, \"pre-landfall\" conditions. A subset of these sites was resampled during October 4 to 14, 2010, after oil had made landfall on the Gulf of Mexico coast (\"post-landfall\") to determine if actionable concentrations of oil were present along shorelines.\nFew organic contaminants were detected in water; their detection frequencies were generally low and similar in pre-landfall and post-landfall samples. Only one organic contaminant, toluene, had significantly higher concentrations in post-landfall than pre-landfall water samples. No samples exceeded any human-health benchmarks, and only one sample exceeded an aquatic-life benchmark-the toxic-unit benchmark for polycyclic aromatic hydrocarbons (PAH) mixtures was exceeded in one post-landfall water sample from Louisiana. No exceedance was observed in the corresponding pre-landfall water sample at this site.\nIn sediment, several PAHs were detected at over 20 percent of sites. Concentrations of 3 parent PAHs and 17 alkylated PAH groups were significantly higher in post-landfall samples than pre-landfall samples. One pre-landfall sample from Texas exceeded the sediment toxic-unit benchmark for PAH mixtures; this site was not sampled during the post-landfall period, so no comparison between sampling periods could be made. Twenty-seven percent of sediment samples exceeded empirical sediment-quality benchmarks (upper screening values) for PAHs, indicating these samples are in the probable-effect range. A higher percentage of post-landfall samples exceeded upper screening-value benchmarks (37 percent) than did pre-landfall samples (22 percent), but there was no significant difference in the proportion of samples exceeding one or more benchmarks between paired pre-landfall and post-landfall samples. Seven sites had the largest concentration differences between post-landfall and pre-landfall samples for fifteen alkylated PAHs. Five of these seven sites (1 site in Louisiana, 1 in Mississippi, and 3 in Alabama) were identified on the basis of diagnostic geochemical biomarkers as containing Macondo-1 oil in post-landfall sediments and tarballs, as described in a companion report by Rosenbauer and others (2010).\nFor trace and major elements in water, analytical reporting levels for several elements were highly variable; after censoring to a common reporting threshold, concentrations were significantly different between pre-landfall and post-landfall samples for a few elements, all of which are elements in seawater. No human-health benchmarks were exceeded, although these were available for only two elements. Aquatic-life benchmarks for trace elements were exceeded in almost 50 percent of water samples. Post-landfall samples exceeded one or more acute benchmarks in 21 percent, and chronic benchmarks in 93 percent of samples, compared to 1 percent (acute) and 39 percent (chronic) for pre-landfall samples. The elements responsible for the most exceedances in post-landfall samples were boron (48 samples), copper (22), and manganese (12). Nickel and vanadium, which U.S. Environmental Protection Agency specifically identified as relevant to the oil spill, were responsible for exceedances in only one of the fifty-two post-landfall samples with exceedances. These results represent the minimum number of exceedances for several trace elements because a substantial number of samples could not be compared with benchmarks because the element was determined during only one sampling period (boron and vanadium) or the reporting level for the sample was higher than the applicable benchmark value (for example, cobalt, copper, lead, and nickel). The high and variable reporting levels for trace elements in water also precluded the statistical comparison between sampling periods of the proportion of samples exceeding benchmarks.\nFor trace elements in whole (unsieved) sediment, 47 percent of samples exceeded empirical upper screening-value benchmarks, indicating these samples are in the probable-effect range. However, there was no significant difference in the proportion of samples exceeding one or more benchmarks between paired pre-landfall post-landfall samples. Benchmark exceedance frequencies could be conservatively high, because they are based on measurements of total trace-element concentrations, including the sediment matrix. In fine sediment (the less than 63-micrometer sediment fraction), one or more trace or major elements were anthropogenically enriched relative to national baseline values for U.S. streams for almost all sediment samples (123 of 124). Sixteen percent of sediment samples exceeded upper screening-value benchmarks for, and were enriched in, one or more of the element(s) barium (in 14 samples), vanadium (5), aluminum (3), manganese (3), arsenic (2), chromium (2), and cobalt (1). These samples, collected from Louisiana and Texas, were evenly divided between the pre-landfall (9 samples) and post-landfall (10 samples) periods.\nConsidering all the information evaluated in this report, there were significant differences between pre-landfall and post-landfall samples for PAH concentrations in sediment. Pre-landfall and post-landfall samples did not differ significantly in concentrations or benchmark exceedances for most organics in water or trace elements in sediment. For trace elements in water, aquatic-life benchmarks were exceeded in almost 50 percent of samples, but the high and variable analytical reporting levels precluded statistical comparison of benchmark exceedances between sampling periods. Concentrations of several PAH compounds in sediment were significantly higher in post-landfall samples than pre-landfall samples, and five of seven sites with the largest differences in PAH concentrations also had diagnostic geochemical evidence of Deepwater Horizon Macondo-1 oil from Rosenbauer and others (2010).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111271","usgsCitation":"Nowell, L.H., Ludtke, A.S., Mueller, D.K., and Scott, J.C., 2011, Organic contaminants, trace and major elements, and nutrients in water and sediment sampled in response to the Deepwater Horizon oil spill: U.S. Geological Survey Open-File Report 2011-1271, viii, 126 p.; Appendices; Table 17; Table 20; Table 22; Table 25; Table 26; Table A-1; Table A-2; Table A-3; Table A-4; Table A-5; Table A-6; Part A-7; Figure B-1; Figure B-2; Figure B-3; Figure B-4; Figure B-5; Table C-1; Table C-2; Table C-3; Table C-4, https://doi.org/10.3133/ofr20111271.","productDescription":"viii, 126 p.; Appendices; Table 17; Table 20; Table 22; Table 25; Table 26; Table A-1; Table A-2; Table A-3; Table A-4; Table A-5; Table A-6; Part A-7; Figure B-1; Figure B-2; Figure B-3; Figure B-4; Figure B-5; Table C-1; Table C-2; Table C-3; Table C-4","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":116500,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1271.png"},{"id":94422,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1271/","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Deepwater Horizon Oil Spill","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae6e4b07f02db68baf3","contributors":{"authors":[{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ludtke, Amy S. asludtke@usgs.gov","contributorId":4735,"corporation":false,"usgs":true,"family":"Ludtke","given":"Amy","email":"asludtke@usgs.gov","middleInitial":"S.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":353198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, David K. mueller@usgs.gov","contributorId":1585,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"mueller@usgs.gov","middleInitial":"K.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":353197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Jonathon C. jcscott@usgs.gov","contributorId":5449,"corporation":false,"usgs":true,"family":"Scott","given":"Jonathon","email":"jcscott@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":353199,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005773,"text":"pp1784C - 2011 - Streamflow and streambed scour in 2010 at bridge 339, Copper River, Alaska","interactions":[{"subject":{"id":70005773,"text":"pp1784C - 2011 - Streamflow and streambed scour in 2010 at bridge 339, Copper River, Alaska","indexId":"pp1784C","publicationYear":"2011","noYear":false,"chapter":"C","title":"Streamflow and streambed scour in 2010 at bridge 339, Copper River, Alaska"},"predicate":"IS_PART_OF","object":{"id":70200800,"text":"pp1784 - 2011 - Studies by the U.S. Geological Survey in Alaska, 2010","indexId":"pp1784","publicationYear":"2011","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2010"},"id":1}],"isPartOf":{"id":70200800,"text":"pp1784 - 2011 - Studies by the U.S. Geological Survey in Alaska, 2010","indexId":"pp1784","publicationYear":"2011","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2010"},"lastModifiedDate":"2018-11-01T15:22:11","indexId":"pp1784C","displayToPublicDate":"2011-10-18T00:00:00","publicationYear":"2011","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":"1784","chapter":"C","title":"Streamflow and streambed scour in 2010 at bridge 339, Copper River, Alaska","docAbstract":"The Copper River Highway traverses a dynamic and complex network of braided and readily erodible channels that constitute the Copper River Delta, Alaska, by way of 11 bridges. Over the past decade, several of these bridges and the highway have sustained serious damage from both high and low flows and channel instability. This investigation studying the impact of channel migration on the highway incorporates data from scour monitoring, lidar surveys, bathymetry, hydrology, and time-lapse photography.\nThe distribution of the Copper River's discharge through the bridges was relatively stable until sometime between 1969-70 and 1982-85. The majority of the total Copper River discharge in 1969-70 passed through three bridges on the western side of the delta, but by 1982-1985, 25 to 62 percent of the flow passed through bridge 342 on the eastern side of the Copper River Delta. In 2004, only 8 percent of the flow passed through the western bridges, while 90 percent of the discharge flowed through two bridges on the eastern side of the delta. Migration of the river across the delta and redistribution of discharge has resulted in streambed scour at some bridges, overtopping of the road during high flows, prolonged highway closures, and formation of new channels through forests. Scour monitoring at the eastern bridges has recorded as much as 44 feet of fill at one pier and 33 feet of scour at another. In 2009, flow distribution began to shift from the larger bridge 342 to bridge 339. In 2010, flow in excess of four times the design discharge scoured the streambed at bridge 339 to a level such that constant on-site monitoring was required to evaluate the potential need for bridge closure. In 2010, instantaneous flow through bridge 339 was never less than 30 percent and was as high as 49 percent of the total Copper River discharge. The percentage of flow through bridge 339 decreased when the overall Copper River discharge increased. The increased discharge through bridge 339 is attributed to a shift in the approach channel 3,500 feet upstream. Bridge channel alignment and analysis of flow distribution as of October 2010 indicate these hydrologic hazards will persist in 2011.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1784C","collaboration":"Studies by the U.S. Geological Survey in Alaska, 2010","usgsCitation":"Conaway, J.S., and Brabets, T.P., 2011, Streamflow and streambed scour in 2010 at bridge 339, Copper River, Alaska: U.S. Geological Survey Professional Paper 1784, iv, 10 p.; Figures; Tables, https://doi.org/10.3133/pp1784C.","productDescription":"iv, 10 p.; Figures; Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":116497,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1784_C.gif"},{"id":94419,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1784/c/","linkFileType":{"id":5,"text":"html"}}],"state":"Alaska","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4ee4","contributors":{"authors":[{"text":"Conaway, Jeffrey S. 0000-0002-3036-592X jconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":2026,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeffrey","email":"jconaway@usgs.gov","middleInitial":"S.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":353188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brabets, Timothy P. tbrabets@usgs.gov","contributorId":2087,"corporation":false,"usgs":true,"family":"Brabets","given":"Timothy","email":"tbrabets@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":353187,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}