{"pageNumber":"1866","pageRowStart":"46625","pageSize":"25","recordCount":184982,"records":[{"id":70044592,"text":"wdr2010 - 2010 - Water-resources data for the United States: water year 2010","interactions":[],"lastModifiedDate":"2016-08-12T15:58:46","indexId":"wdr2010","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2010","title":"Water-resources data for the United States: water year 2010","docAbstract":"<p>Water resources data are published annually for use by engineers, scientists, managers, educators, and the general public. These archival products supplement direct access to current and historical water data provided by NWISWeb. Beginning with Water Year 2006, annual water data reports are available as individual electronic Site Data Sheets for the entire Nation for retrieval, download, and localized printing on demand. National distribution includes tabular and map interfaces for search, query, display and download of data. From 1962 until 2005, reports were published by State as paper documents, although most reports since the mid-1990s are also available in electronic form through this web page. Reports prior to 1962 were published in occasional USGS Water-Supply Papers and other reports.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wdr2010","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2010, Water-resources data for the United States: water year 2010: U.S. Geological Survey Water Data Report 2010, HTML Document, https://doi.org/10.3133/wdr2010.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":269341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wdr2010.jpg"},{"id":269339,"type":{"id":15,"text":"Index Page"},"url":"https://wdr.water.usgs.gov/wy2010/search.jsp","text":"Water-resources data for the United States Water Year 2010"},{"id":269340,"type":{"id":7,"text":"Companion Files"},"url":"https://wdr.water.usgs.gov/","text":"Annual Water Data Reports"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142f18ce4b073a963ff6625","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":535454,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044777,"text":"70044777 - 2010 - Industrial sand and gravel","interactions":[],"lastModifiedDate":"2013-04-28T20:27:42","indexId":"70044777","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Industrial sand and gravel","docAbstract":"Domestic production of industrial sand and gravel in 2009 was about 27 Mt (30 million st), declining by 10 percent compared with 2008. Certain end uses of industrial sand and gravel, such as foundry and glassmaking sand, may have declined by a factor greater than 10 percent in 2009. U.S. apparent consumption was 24.7 Mt (27.2 million st) in 2009, down by 10 percent from the previous year, and imports declined to 83 kt (91,000 st).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Dolley, T., 2010, Industrial sand and gravel: Mining Engineering, v. 62, no. 6, p. 56-56.","productDescription":"1 p.","startPage":"56","endPage":"56","ipdsId":"IP-020417","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517e44eae4b0eff6bc0031c5","contributors":{"authors":[{"text":"Dolley, T.P.","contributorId":24171,"corporation":false,"usgs":true,"family":"Dolley","given":"T.P.","affiliations":[],"preferred":false,"id":476301,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044826,"text":"70044826 - 2010 - Strontium","interactions":[],"lastModifiedDate":"2013-05-06T13:26:51","indexId":"70044826","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Strontium","docAbstract":"In 2009, U.S. apparent consumption of strontium (contained in celestite and manufactured strontium compounds) increased to 16 kt (17,600 st) from 10.6 kt (11,700 st) in 2008, an increase of 52 percent. This increase was attributed primarily to an increase in imported celestite. Gross weight of imports totaled 25.3 kt (27,900 st), of which 91 percent came from Mexico. Imports in 2009 were 18 percent more than in 2008. Exports of strontium compounds in 2009 decreased 15 percent to 9.3 kt (10,250 st) from 10.9 kt (12,000 st) in 2008. In 2009, the U.S. Customs value of imported strontium carbonate was 65 cents/kg (29 cents/lb); for strontium nitrate, the unit value was $ 1/kg (45 cents/lb). The unit value of imported celestite, all of which was from Mexico, was about $47/t ($43/st).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Angulo, M., 2010, Strontium: Mining Engineering, v. 62, no. 6, p. 77-78.","productDescription":"2 p.","startPage":"77","endPage":"78","ipdsId":"IP-020133","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5188d4e6e4b023d2d75b9a95","contributors":{"authors":[{"text":"Angulo, M.A.","contributorId":68628,"corporation":false,"usgs":true,"family":"Angulo","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":476383,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044794,"text":"70044794 - 2010 - Fire clay","interactions":[],"lastModifiedDate":"2013-04-16T13:07:29","indexId":"70044794","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Fire clay","docAbstract":"Statistics on fire clay consumption, production, prices, and trade in 2009 are presented. Information on the outlook for the fire clay sector is provided.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","publisherLocation":"Englewood, CO","usgsCitation":"Virta, R., 2010, Fire clay: Mining Engineering, v. 62, no. 6, p. 47-48.","productDescription":"2 p.","startPage":"47","endPage":"48","ipdsId":"IP-020256","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e72eae4b00154e4368bf6","contributors":{"authors":[{"text":"Virta, R.L.","contributorId":39357,"corporation":false,"usgs":true,"family":"Virta","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":476325,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043486,"text":"70043486 - 2010 - Longitudinal structure in temperate stream fish communities: evaluating conceptual models with temporal data","interactions":[],"lastModifiedDate":"2013-03-26T14:31:33","indexId":"70043486","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Longitudinal structure in temperate stream fish communities: evaluating conceptual models with temporal data","docAbstract":"Five conceptual models of longitudinal fish community organization in streams were examined: (1) niche diversity model (NDM), (2) stream continuum model (SCM), (3) immigrant accessibility model (IAM), (4) environmental stability model (ESM), and (5) adventitious stream model (ASM). We used differences among models in their predictions about temporal species turnover, along with five spatiotemporal fish community data sets, to evaluate model applicability. Models were similar in predicting a positive species richness–stream size relationship and longitudinal species nestedness, but differed in predicting either similar temporal species turnover throughout the stream continuum (NDM, SCM), higher turnover upstream (IAM, ESM), or higher turnover downstream (ASM). We calculated measures of spatial and temporal variation from spatiotemporal fish data in five wadeable streams in central and eastern North America spanning 34–68 years (French Creek [New York], Piasa Creek [Illinois], Spruce Run [Virginia], Little Stony Creek [Virginia], and Sinking Creek [Virginia]). All streams exhibited substantial species turnover (i.e., at least 27% turnover in stream-scale species pools), in contrast to the predictions of the SCM. Furthermore, community change was greater in downstream than upstream reaches in four of five streams. This result is most consistent with the ASM and suggests that downstream communities are strongly influenced by migrants to and from species pools outside the focal stream. In Sinking Creek, which is isolated from external species pools, temporal species turnover (via increased richness) was higher upstream than downstream, which is a pattern most consistent with the IAM or ESM. These results corroborate the hypothesis that temperate stream habitats and fish communities are temporally dynamic and that fish migration and environmental disturbances play fundamental roles in stream fish community organization.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Community ecology of stream fishes : concepts, approaches, and techniques; American Fisheries Symposium 73","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","usgsCitation":"Roberts, J.H., and Hitt, N.P., 2010, Longitudinal structure in temperate stream fish communities: evaluating conceptual models with temporal data, <i>in</i> Community ecology of stream fishes : concepts, approaches, and techniques; American Fisheries Symposium 73, 19 p.","productDescription":"19 p.","ipdsId":"IP-024159","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":270191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152c398e4b01197b08e9cb5","contributors":{"authors":[{"text":"Roberts, James H.","contributorId":83811,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":473692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473691,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003630,"text":"70003630 - 2010 - Use of geochemical, isotopic, and age tracer data to develop models of groundwater flow for the purpose of water management, northern High Plains aquifer, USA","interactions":[],"lastModifiedDate":"2021-04-26T17:11:30.015372","indexId":"70003630","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Use of geochemical, isotopic, and age tracer data to develop models of groundwater flow for the purpose of water management, northern High Plains aquifer, USA","docAbstract":"<p><span>A prolonged drought in the High Plains of Nebraska prompted the use of groundwater for cooling at the largest coal-fired power plant in the State. Prior to the drought, groundwater was used primarily for irrigation and the power plant relied exclusively on surface water stored in a nearby reservoir for cooling. Seepage from the reservoir system during the past ∼75</span><span>&nbsp;</span><span>a has resulted in the buildup of a large mound of water in the underlying unconfined aquifer. A well field was installed during the drought for the purpose of tapping the groundwater mound as a supplemental source of water for cooling. Concentrations of dissolved Cl</span><sup>−</sup><span>&nbsp;and&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>SO</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>4</mn></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn><mo is=&quot;true&quot;>-</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">SO<sub>4</sub><sup>2-</sup></span></span></span><span>&nbsp;indicate 65–100% of shallow groundwater and 0–100% of deep groundwater (saturated thickness ∼115</span><span>&nbsp;</span><span>m) in the immediate vicinity of the reservoir was from seepage out of the reservoir system. Hydrogen and O isotopic data indicate most surface-water seepage occurred in the late spring and early summer when reservoir stage was at its highest level. Tritium/</span><sup>3</sup><span>He apparent groundwater ages imply horizontal flow velocities from the reservoir were on the order of 60–600</span><span>&nbsp;</span><span>m/a. These diverse data provided information regarding the spatial distribution, timing, and rate of seepage from the reservoir that could not have been obtained from the available geologic, hydraulic head, and conductivity data. In particular, mixing fractions of surface water and regional groundwater in the aquifer could not have been determined using hydraulic information. Mixing fractions were of special interest in this study because of the management objective to maximize the capture of surface-water seepage in the cooling water wells. Groundwater-flow models developed as well-field management tools were calibrated using inverse modeling techniques and observations of groundwater age, surface-water flow, reservoir stage, and groundwater levels. The age data only accounted for 6 of the 2574 field observations used to calibrate the groundwater-flow models, yet they were among the most influential for refining estimates of hydraulic conductivity, recharge, and seepage from the reservoir. Results from this study demonstrate the benefits of using geochemical, isotopic, and age tracer data to develop conceptual and numerical models of groundwater flow for the purpose of water management.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2010.04.001","usgsCitation":"McMahon, P.B., Carney, C.P., Poeter, E.P., and Peterson, S.M., 2010, Use of geochemical, isotopic, and age tracer data to develop models of groundwater flow for the purpose of water management, northern High Plains aquifer, USA: PNAS, v. 25, no. 6, p. 910-922, https://doi.org/10.1016/j.apgeochem.2010.04.001.","productDescription":"13 p.","startPage":"910","endPage":"922","ipdsId":"IP-016647","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":273443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Platte River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.38870239257812,\n              40.93634011692373\n            ],\n            [\n              -100.98907470703124,\n              40.93634011692373\n            ],\n            [\n              -100.98907470703124,\n              41.26438836965208\n            ],\n            [\n              -101.38870239257812,\n              41.26438836965208\n            ],\n            [\n              -101.38870239257812,\n              40.93634011692373\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e3e4b01368e589e3cd","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carney, C. P.","contributorId":100084,"corporation":false,"usgs":false,"family":"Carney","given":"C.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":814707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poeter, E. P.","contributorId":63851,"corporation":false,"usgs":false,"family":"Poeter","given":"E.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":814708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Steven M. 0000-0002-9130-1284 speterson@usgs.gov","orcid":"https://orcid.org/0000-0002-9130-1284","contributorId":847,"corporation":false,"usgs":true,"family":"Peterson","given":"Steven","email":"speterson@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814709,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045102,"text":"70045102 - 2010 - Inference of lithologic distributions in an alluvial aquifer using airborne transient electromagnetic surveys","interactions":[],"lastModifiedDate":"2018-04-02T15:21:41","indexId":"70045102","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Inference of lithologic distributions in an alluvial aquifer using airborne transient electromagnetic surveys","docAbstract":"An airborne transient electromagnetic (TEM) survey was completed in the Upper San Pedro Basin in southeastern Arizona to map resistivity distributions within the alluvial aquifer. This investigation evaluated the utility of 1D vertical resistivity models of the TEM data to infer lithologic distributions in an alluvial aquifer. Comparisons of the resistivity values and layers in the 1D resistivity models of airborne TEM data to 1D resistivity models of ground TEM data, borehole resistivity logs, and lithologic descriptions in drill logs indicated that the airborne TEM identified thick conductive fine-grained sediments that result in semiconfined groundwater conditions. One-dimensional models of ground-based TEM surveys and subsurface lithology at three sites were used to determine starting models and constraints to invert airborne TEM data using a constrained Marquardt-styleunderparameterized method. A maximum structural resolution of six layers underlain by a half-space was determined from the resistivity structure of the 1D models of the ground TEM data. The 1D resistivity models of the airborne TEM data compared well with the control data to depths of approximately 100 m in areas of thick conductive silt and clay and to depths of 200 m in areas of resistive sand and gravel. Comparison of a 3D interpolation of the 1D resistivity models to drill logs indicated resistive (mean of 65 ohm-m ) coarse-grained sediments along basin margins and conductive (mean of 8 ohm-m ) fine-grained sediments at the basin center. Extents of hydrologically significant thick silt and clay were well mapped by the 1D resistivity models of airborne TEM data. Areas of uncertain lithology remain below conductive fine-grained sediments where the 1D resistivity structure is not resolved: in areas where multiple lithologies have similar resistivity values and in areas of high salinity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3464325","usgsCitation":"Dickinson, J.E., Pool, D.R., Groom, R., and Davis, L., 2010, Inference of lithologic distributions in an alluvial aquifer using airborne transient electromagnetic surveys: Geophysics, v. 75, no. 4, p. WA149-WA161, https://doi.org/10.1190/1.3464325.","productDescription":"13 p.","startPage":"WA149","endPage":"WA161","ipdsId":"IP-014910","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":273425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273424,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3464325"}],"country":"United States","state":"Arizona","otherGeospatial":"San Pedro Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.05,37.0 ], [ -109.05,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","volume":"75","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e4e4b01368e589e3d5","contributors":{"authors":[{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pool, D. R.","contributorId":75581,"corporation":false,"usgs":true,"family":"Pool","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groom, R.W.","contributorId":59634,"corporation":false,"usgs":true,"family":"Groom","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":476799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, L.J.","contributorId":99454,"corporation":false,"usgs":true,"family":"Davis","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":476801,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043619,"text":"70043619 - 2010 - Effect of clay content and mineralogy on frictional sliding behavior of simulated gouges: binary and ternary mixtures of quartz, illite, and montmorillonite","interactions":[],"lastModifiedDate":"2013-05-09T10:31:44","indexId":"70043619","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Effect of clay content and mineralogy on frictional sliding behavior of simulated gouges: binary and ternary mixtures of quartz, illite, and montmorillonite","docAbstract":"We investigated the frictional sliding behavior of simulated quartz-clay gouges under stress conditions relevant to seismogenic depths. Conventional triaxial compression tests were conducted at 40 MPa effective normal stress on saturated saw cut samples containing binary and ternary mixtures of quartz, montmorillonite, and illite. In all cases, frictional strengths of mixtures fall between the end-members of pure quartz (strongest) and clay (weakest). The overall trend was a decrease in strength with increasing clay content. In the illite/quartz mixture the trend was nearly linear, while in the montmorillonite mixtures a sigmoidal trend with three strength regimes was noted. Microstructural observations were performed on the deformed samples to characterize the geometric attributes of shear localization within the gouge layers. Two micromechanical models were used to analyze the critical clay fractions for the two-regime transitions on the basis of clay porosity and packing of the quartz grains. The transition from regime 1 (high strength) to 2 (intermediate strength) is associated with the shift from a stress-supporting framework of quartz grains to a clay matrix embedded with disperse quartz grains, manifested by the development of P-foliation and reduction in Riedel shear angle. The transition from regime 2 (intermediate strength) to 3 (low strength) is attributed to the development of shear localization in the clay matrix, occurring only when the neighboring layers of quartz grains are separated by a critical clay thickness. Our mixture data relating strength degradation to clay content agree well with strengths of natural shear zone materials obtained from scientific deep drilling projects.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2009JB006383","usgsCitation":"Tembe, S., Lockner, D.A., and Wong, T., 2010, Effect of clay content and mineralogy on frictional sliding behavior of simulated gouges: binary and ternary mixtures of quartz, illite, and montmorillonite: Journal of Geophysical Research B: Solid Earth, v. 115, no. B3, B03416, https://doi.org/10.1029/2009JB006383.","productDescription":"B03416","ipdsId":"IP-008421","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":475477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009jb006383","text":"Publisher Index Page"},{"id":272127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272126,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009JB006383"}],"volume":"115","issue":"B3","noUsgsAuthors":false,"publicationDate":"2010-03-24","publicationStatus":"PW","scienceBaseUri":"518cc563e4b05ebc8f7cc111","contributors":{"authors":[{"text":"Tembe, Sheryl","contributorId":87436,"corporation":false,"usgs":true,"family":"Tembe","given":"Sheryl","email":"","affiliations":[],"preferred":false,"id":473991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":473989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wong, Teng-Fong","contributorId":83005,"corporation":false,"usgs":true,"family":"Wong","given":"Teng-Fong","affiliations":[],"preferred":false,"id":473990,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046093,"text":"70046093 - 2010 - Current challenges using models to forecast seawater intrusion: lessons from the Eastern Shore of Virginia, USA","interactions":[],"lastModifiedDate":"2018-10-11T17:47:42","indexId":"70046093","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Current challenges using models to forecast seawater intrusion: lessons from the Eastern Shore of Virginia, USA","docAbstract":"A three-dimensional model of the aquifer system of the Eastern Shore of Virginia, USA was calibrated to reproduce historical water levels and forecast the potential for saltwater intrusion. Future scenarios were simulated with two pumping schemes to predict potential areas of saltwater intrusion. Simulations suggest that only a few wells would be threatened with detectable salinity increases before 2050. The objective was to examine whether salinity increases can be accurately forecast for individual wells with such a model, and to address what the challenges are in making such model forecasts given current (2009) simulation capabilities. The analysis suggests that even with current computer capabilities, accurate simulations of concentrations within a regional-scale (many km) transition zone are computationally prohibitive. The relative paucity of data that is typical for such regions relative to what is needed for accurate transport simulations suggests that even with an infinitely powerful computer, accurate forecasting for a single well would still be elusive. Useful approaches may include local-grid refinement near wells and geophysical surveys, but it is important to keep expectations for simulated forecasts at wells in line with chloride concentration and other data that can be obtained at that local scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10040-009-0513-4","usgsCitation":"Sanford, W.E., and Pope, J.P., 2010, Current challenges using models to forecast seawater intrusion: lessons from the Eastern Shore of Virginia, USA: Hydrogeology Journal, v. 18, no. 1, p. 73-93, https://doi.org/10.1007/s10040-009-0513-4.","productDescription":"21 p.","startPage":"73","endPage":"93","ipdsId":"IP-011118","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":272784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294165,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-009-0513-4"}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.6754,36.5408 ], [ -83.6754,39.466 ], [ -75.2422,39.466 ], [ -75.2422,36.5408 ], [ -83.6754,36.5408 ] ] ] } } ] }","volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-08-25","publicationStatus":"PW","scienceBaseUri":"51a08be0e4b0e42455806566","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":478893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Jason P. 0000-0003-3199-993X jpope@usgs.gov","orcid":"https://orcid.org/0000-0003-3199-993X","contributorId":2044,"corporation":false,"usgs":true,"family":"Pope","given":"Jason","email":"jpope@usgs.gov","middleInitial":"P.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042327,"text":"70042327 - 2010 - Policies and practices of beach monitoring in the Great Lakes, USA: a critical review","interactions":[],"lastModifiedDate":"2013-03-05T20:52:48","indexId":"70042327","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2259,"text":"Journal of Environmental Monitoring","active":true,"publicationSubtype":{"id":10}},"title":"Policies and practices of beach monitoring in the Great Lakes, USA: a critical review","docAbstract":"Beaches throughout the Great Lakes are monitored for fecal indicator bacteria (typically Escherichia coli) in order to protect the public from potential sewage contamination. Currently, there is no universal standard for sample collection and analysis or results interpretation. Monitoring policies are developed by individual beach management jurisdictions, and applications are highly variable across and within lakes, states, and provinces. Extensive research has demonstrated that sampling decisions for time, depth, number of replicates, frequency of sampling, and laboratory analysis all influence the results outcome, as well as calculations of the mean and interpretation of the results in policy decisions. Additional shortcomings to current monitoring approaches include appropriateness and reliability of currently used indicator bacteria and the overall goal of these monitoring programs. Current research is attempting to circumvent these complex issues by developing new tools and methods for beach monitoring. In this review, we highlight the variety of sampling routines used across the Great Lakes and the extensive body of research that challenges comparisons among beaches. We also assess the future of Great Lakes monitoring and the advantages and disadvantages of establishing standards that are evenly applied across all beaches.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Monitoring","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"RSC Publishing","publisherLocation":"London, U.K.","doi":"10.1039/B917590C","usgsCitation":"Nevers, M.B., and Whitman, R.L., 2010, Policies and practices of beach monitoring in the Great Lakes, USA: a critical review: Journal of Environmental Monitoring, v. 12, p. 581-590, https://doi.org/10.1039/B917590C.","productDescription":"10 p.","startPage":"581","endPage":"590","ipdsId":"IP-012026","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268808,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1039/B917590C"}],"country":"United States","otherGeospatial":"Great Lakes","volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5137220fe4b02ab8869c0021","contributors":{"authors":[{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":471284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471283,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042336,"text":"70042336 - 2010 - A short-term look at potential changes in Lake Michigan slimy sculpin diets","interactions":[],"lastModifiedDate":"2013-04-06T19:51:06","indexId":"70042336","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A short-term look at potential changes in Lake Michigan slimy sculpin diets","docAbstract":"Diporeia hoyi and Mysis relicta are the most important prey items of slimy sculpins (Cottus cognatus) in the Great Lakes. Slimy sculpins were collected from dreissenid-infested bottoms off seven Lake Michigan ports at depths of 27–73 m in fall 2003 to study their lake-wide diets. Relatively large dreissenid biomass occurred at depths of 37- and 46-m. Quagga mussels (Dreissena bugnesis) composed at least 50% of dreissenid biomass at Manistique, Saugatuck, and Sturgeon Bay. Mysis accounted for 82% of the sculpin diet by dry weight at eastern Lake Michigan while Diporeia composed 54–69% of the diet at western Lake Michigan and dominated the diets of slimy sculpins at all sites deeper than 46 m. In northern Lake Michigan, this diet study in new sites showed that slimy sculpin consumed more prey with low energy contents, especially chironomids, than Mysis and Diporeia in shallow sites (depth <55 m). We recommend diet studies on sedentary benthic fishes to be conducted along perimeters of the Great Lakes to observe changes in their diets that may be impacted by changing benthic macroinvertebrate communities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Ann Arbor, MI","doi":"10.1016/j.jglr.2010.01.007","usgsCitation":"French, J.R., Stickel, R., Stockdale, B.A., and Black, M.G., 2010, A short-term look at potential changes in Lake Michigan slimy sculpin diets: Journal of Great Lakes Research, v. 36, no. 2, p. 376-379, https://doi.org/10.1016/j.jglr.2010.01.007.","productDescription":"4 p.","startPage":"376","endPage":"379","ipdsId":"IP-010817","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":270609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270608,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2010.01.007"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.0,41.6 ], [ -88.0,46.1 ], [ -84.8,46.1 ], [ -84.8,41.6 ], [ -88.0,41.6 ] ] ] } } ] }","volume":"36","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51614bd7e4b022d43fdfaa21","contributors":{"authors":[{"text":"French, John R. P. III","contributorId":107635,"corporation":false,"usgs":true,"family":"French","given":"John","suffix":"III","email":"","middleInitial":"R. P.","affiliations":[],"preferred":false,"id":471327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stickel, Richard G.","contributorId":50801,"corporation":false,"usgs":true,"family":"Stickel","given":"Richard G.","affiliations":[],"preferred":false,"id":471325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdale, Beth A.","contributorId":57335,"corporation":false,"usgs":true,"family":"Stockdale","given":"Beth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, M. Glen gblack@usgs.gov","contributorId":2394,"corporation":false,"usgs":true,"family":"Black","given":"M.","email":"gblack@usgs.gov","middleInitial":"Glen","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471324,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042334,"text":"70042334 - 2010 - Dreissenid mussels are not a \"dead end\" in Great Lakes food webs","interactions":[],"lastModifiedDate":"2013-05-02T14:57:27","indexId":"70042334","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Dreissenid mussels are not a \"dead end\" in Great Lakes food webs","docAbstract":"Dreissenid mussels have been regarded as a “dead end” in Great Lakes food webs because the degree of predation on dreissenid mussels, on a lakewide basis, is believed to be low. Waterfowl predation on dreissenid mussels in the Great Lakes has primarily been confined to bays, and therefore its effects on the dreissenid mussel population have been localized rather than operating on a lakewide level. Based on results from a previous study, annual consumption of dreissenid mussels by the round goby (Neogobius melanostomus) population in central Lake Erie averaged only 6 kilotonnes (kt; 1 kt = one thousand metric tons) during 1995–2002. In contrast, our coupling of lake whitefish (Coregonus clupeaformis) population models with a lake whitefish bioenergetics model revealed that lake whitefish populations in Lakes Michigan and Huron consumed 109 and 820 kt, respectively, of dreissenid mussels each year. Our results indicated that lake whitefish can be an important predator on dreissenid mussels in the Great Lakes, and that dreissenid mussels do not represent a “dead end” in Great Lakes food webs. The Lake Michigan dreissenid mussel population has been estimated to be growing more than three times faster than the Lake Huron dreissenid mussel population during the 2000s. One plausible explanation for the higher population growth rate in Lake Michigan would be the substantially higher predation rate by lake whitefish on dreissenid mussels in Lake Huron.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2009.09.001","usgsCitation":"Madenijan, C.P., Pothoven, S.A., Schneeberger, P.J., Ebener, M.P., Mohr, L.C., Nalepa, T., and Bence, J., 2010, Dreissenid mussels are not a \"dead end\" in Great Lakes food webs: Journal of Great Lakes Research, v. 36, no. SP1, p. 73-77, https://doi.org/10.1016/j.jglr.2009.09.001.","productDescription":"5 p.","startPage":"73","endPage":"77","ipdsId":"IP-006302","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":271772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271771,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2009.09.001"}],"otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.8,41.18 ], [ -75.8,49.1 ], [ -92.11,49.1 ], [ -92.11,41.18 ], [ -75.8,41.18 ] ] ] } } ] }","volume":"36","issue":"SP1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51838ae7e4b0a21483941a99","contributors":{"authors":[{"text":"Madenijan, Charles P.","contributorId":101169,"corporation":false,"usgs":true,"family":"Madenijan","given":"Charles","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneeberger, Philip J.","contributorId":43313,"corporation":false,"usgs":true,"family":"Schneeberger","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebener, Mark P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":471302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mohr, Lloyd C.","contributorId":77493,"corporation":false,"usgs":false,"family":"Mohr","given":"Lloyd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":471305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nalepa, Thomas F.","contributorId":28212,"corporation":false,"usgs":true,"family":"Nalepa","given":"Thomas F.","affiliations":[],"preferred":false,"id":471303,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":471307,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70042407,"text":"70042407 - 2010 - The effect of error in theoretical Earth tide on calibration of borehole strainmeters","interactions":[],"lastModifiedDate":"2013-03-06T17:15:30","indexId":"70042407","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The effect of error in theoretical Earth tide on calibration of borehole strainmeters","docAbstract":"Since the installation of borehole strainmeters into the ground locally distorts the strain in the rock, these strainmeters require calibration from a known source which typically is the Earth tide. Consequently, the accuracy of the observed strain changes from borehole strainmeters depends upon the calibration derived from modeling the Earth tide. Previous work from the mid-1970s, which is replicated here, demonstrate that the theoretical tide can differ by 30% from the tide observed at surface-mounted, long-baseline strainmeters. In spite of possible inaccurate tidal models, many of the 74 borehole strainmeters installed since 2005 can be “calibrated”. However, inaccurate tidal models affect the amplitude and phase of observed transient strain changes which needs to be considered along with the precision of the data from the inherent drift of these borehole instruments. In particular, the error from inaccurate tidal model dominates the error budget in the observation of impulsive, sub-daily, strain-transients.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2010GL044454","usgsCitation":"Langbein, J.O., 2010, The effect of error in theoretical Earth tide on calibration of borehole strainmeters: Geophysical Research Letters, v. 37, no. 21, L21303, https://doi.org/10.1029/2010GL044454.","productDescription":"L21303","ipdsId":"IP-021866","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":475664,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl044454","text":"Publisher Index Page"},{"id":268834,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL044454"},{"id":268835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"21","noUsgsAuthors":false,"publicationDate":"2010-11-03","publicationStatus":"PW","scienceBaseUri":"5138738de4b02c509e50c4ed","contributors":{"authors":[{"text":"Langbein, John O.","contributorId":72438,"corporation":false,"usgs":true,"family":"Langbein","given":"John","middleInitial":"O.","affiliations":[],"preferred":false,"id":471476,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042326,"text":"70042326 - 2010 - Summer stream water temperature models for Great Lakes streams: New York","interactions":[],"lastModifiedDate":"2022-09-02T14:52:18.036633","indexId":"70042326","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Summer stream water temperature models for Great Lakes streams: New York","docAbstract":"Temperature is one of the most important environmental influences on aquatic organisms. It is a primary driver of physiological rates and many abiotic processes. However, despite extensive research and measurements, synoptic estimates of water temperature are not available for most regions, limiting our ability to make systemwide and large-scale assessments of aquatic resources or estimates of aquatic species abundance and biodiversity. We used subwatershed averaging of point temperature measurements and associated multiscale landscape habitat conditions from over 3,300 lotic sites throughout New York State to develop and train artificial neural network models. Separate models predicting water temperature (in cold, cool, and warm temperature classes) within small catchment–stream order groups were developed for four modeling units, which together encompassed the entire state. Water temperature predictions were then made for each stream segment in the state. All models explained more than 90% of data variation. Elevation, riparian forest cover, landscape slope, and growing degree-days were among the most important model predictors of water temperature classes. Geological influences varied among regions. Predicted temperature distributions within stream networks displayed patterns of generally increasing temperature downstream but were patchy due to the averaging of water temperatures within stream size-classes of small drainages. Models predicted coldwater streams to be most numerous and warmwater streams to be generally associated with the largest rivers and relatively flat agricultural areas and urban areas. Model predictions provide a complete, georeferenced map of summer daytime mean stream temperature potential throughout New York State that can be used for planning and assessment at spatial scales from the stream segment class to the entire state.","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MA","doi":"10.1577/T09-153.1","usgsCitation":"McKenna, J., Butryn, R.S., and McDonald, R.P., 2010, Summer stream water temperature models for Great Lakes streams: New York: Transactions of the American Fisheries Society, v. 139, no. 5, p. 1399-1414, https://doi.org/10.1577/T09-153.1.","productDescription":"16 p.","startPage":"1399","endPage":"1414","ipdsId":"IP-015655","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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York\",\"nation\":\"USA  \"}}]}","volume":"139","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"51372214e4b02ab8869c003a","contributors":{"authors":[{"text":"McKenna, James E.","contributorId":9217,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","affiliations":[],"preferred":false,"id":471280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butryn, Ryan S.","contributorId":87042,"corporation":false,"usgs":true,"family":"Butryn","given":"Ryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":471282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Richard P.","contributorId":73895,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471281,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043150,"text":"70043150 - 2010 - Large-scale coastal change in the Columbia River littoral cell: an overview","interactions":[],"lastModifiedDate":"2013-06-21T10:10:12","indexId":"70043150","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale coastal change in the Columbia River littoral cell: an overview","docAbstract":"This overview introduces large-scale coastal change in the Columbia River littoral cell (CRLC). Covering 165 km of the southwest Washington and northwest Oregon coasts, the littoral cell is made up of wide low-sloping dissipative beaches, broad coastal dunes and barrier plains, three large estuaries, and is bounded by rocky headlands. The beaches and inner shelf are composed of fine-grained sand from the Columbia River and are exposed to a high-energy winter wave climate. Throughout the Holocene, the CRLC has undergone large fluctuations in shoreline change trends, responding to a variety of coastal change drivers, including changing rates of sea-level rise, infrequent, yet catastrophic, co-seismic subsidence events, a large regional sediment supply, inter-annual climatic fluctuations (El Niño cycles), seasonally varying wave climate, and numerous anthropogenic influences. Human influences on the CRLC include construction of over 200 dams in the Columbia River drainage basin, dredging of navigation channels removing sand to upland sites and offshore deep-water sites, and construction of large inlet jetties at the entrances to the Columbia River and Grays Harbor. The construction of these massive entrance jetties at the end of the 19th century has been the dominant driver of coastal change through most of the littoral cell over the last hundred years. Presently, some beaches in the littoral cell are eroding in response to nearshore sediment deficits resulting from a) ebb-jets of the confined entrances pushing the previously large, shallow ebb-tidal deltas offshore into deeper water, and b) waves dispersing the nearshore delta flanks initially onshore and then alongshore away from the jetties. This overview describes 1) the motivation for developing a system-wide understanding of sediment dynamics in the littoral cell at multiple time and space scales, 2) the formation and approach of the Southwest Washington Coastal Erosion Study, and 3) an introduction to the papers in this special issue.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2010.02.007","usgsCitation":"Gelfenbaum, G., and Kaminsky, G.M., 2010, Large-scale coastal change in the Columbia River littoral cell: an overview: Marine Geology, v. 273, no. 1-4, p. 1-10, https://doi.org/10.1016/j.margeo.2010.02.007.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-010234","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274052,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2010.02.007"}],"country":"United States","state":"Washington;Oregon","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,41.99 ], [ -124.79,49.0 ], [ -116.46,49.0 ], [ -116.46,41.99 ], [ -124.79,41.99 ] ] ] } } ] }","volume":"273","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c59e34e4b0c89b8f120e42","contributors":{"authors":[{"text":"Gelfenbaum, Guy","contributorId":79844,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","affiliations":[],"preferred":false,"id":473044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaminsky, George M.","contributorId":83150,"corporation":false,"usgs":true,"family":"Kaminsky","given":"George","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":473045,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044487,"text":"70044487 - 2010 - Geologic characteristics and movement of the Meadow Creek landslide, part of the Coal Hill landslide complex, western Kane County, Utah","interactions":[],"lastModifiedDate":"2013-05-30T09:43:04","indexId":"70044487","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3672,"text":"Utah Geological Association Publication 39: Geology of South-Central Utah","active":true,"publicationSubtype":{"id":10}},"title":"Geologic characteristics and movement of the Meadow Creek landslide, part of the Coal Hill landslide complex, western Kane County, Utah","docAbstract":"The Meadow Creek landslide, part of the Coal Hill landslide complex in western Kane County, Utah, is about 1.7 miles (2.7 km) wide and 1.3 miles (2.1 km) long and contains six smaller historical slides.  The upper part of the Meadow Creek landslide is gently sloping and consists of displaced and back-rotated blocks of Cretaceous Dakota and Cedar Mountain Formations that form northeast- to locally east-trending ridges that are separated by sediment-filled half-grabens.  The lower part of the landslide is gently to moderately sloping, locally incised, and consists of heterogeneous debris that overrides the Jurassic Carmel Formation near Meadow Creek.  Monitoring using a survey-grade Global Positioning System (GPS) instrument detected movement of the southern part of the Meadow Creek landslide between October 2005 and October 2008, including movement of two of the historical slides-landslides 1 and 2.  The most movement during the measurement period occurred within the limits of persistently moving landslide 1 and ranged from about 24 to 64 inches (61-163 cm).  Movement of the abutting southern part of the Meadow Creek landslide ranged from approximately 6 to 10 inches (15-25 cm).  State Route 9 crosses over approximately a mile (1.6 km) of the southern part of the Meadow Creek landslide, including landslide 1.  The highway and its predecessor (State Route 15) have been periodically displaced and damaged by persistent movement of landslide 1.  Most of the landslide characteristics, particularly its size, probable depth, and the inferred weak strength and low permeability of clay-rich gouge derived from the Dakota and Cedar Mountain Formations, are adverse to and pose significant challenges to landslide stabilization.  Secondary hazards include piping-induced sinkholes along scarps and ground cracks, and debris flows and rock falls from the main-scarp escarpment.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Utah Geological Association Publication 39: Geology of South-Central Utah","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Utah Geological Association","usgsCitation":"Ashland, F., and McDonald, G.N., 2010, Geologic characteristics and movement of the Meadow Creek landslide, part of the Coal Hill landslide complex, western Kane County, Utah: Utah Geological Association Publication 39: Geology of South-Central Utah, p. 38-60.","productDescription":"23 p.","startPage":"38","endPage":"60","ipdsId":"IP-022555","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":273004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273003,"type":{"id":11,"text":"Document"},"url":"https://landslides.usgs.gov/docs/ashland/UGA39-Ashland&McDonald2010.pdf"}],"country":"United States","state":"Utah","county":"Kane County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.9059,37.0 ], [ -112.9059,37.545 ], [ -110.6406,37.545 ], [ -110.6406,37.0 ], [ -112.9059,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a874e3e4b082d85d5ed88f","contributors":{"editors":[{"text":"Carney, Stephanie M.","contributorId":112925,"corporation":false,"usgs":true,"family":"Carney","given":"Stephanie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":509261,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Tabet, David E.","contributorId":114104,"corporation":false,"usgs":true,"family":"Tabet","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":509262,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Johnson, Cari L.","contributorId":75040,"corporation":false,"usgs":true,"family":"Johnson","given":"Cari","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":509260,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Ashland, Francis X.","contributorId":70677,"corporation":false,"usgs":true,"family":"Ashland","given":"Francis X.","affiliations":[],"preferred":false,"id":475711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, Greg N.","contributorId":43658,"corporation":false,"usgs":true,"family":"McDonald","given":"Greg","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":475710,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044935,"text":"70044935 - 2010 - Earth mineral resource of the month: asbestos","interactions":[],"lastModifiedDate":"2013-05-08T20:01:08","indexId":"70044935","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Earth mineral resource of the month: asbestos","docAbstract":"The article discusses the characteristics and feature of asbestos. According to the author, asbestos is a generic name for six needle-shaped minerals that possess high tensile strengths, flexibility, and resistance to chemical and thermal degradation. These minerals are actinolite, amosite, anthophyllite, chrysolite, crocilodite and tremolite. Asbestos is used for strengthening concrete pipe, plastic components, and gypsum plasters.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Virta, R.L., 2010, Earth mineral resource of the month: asbestos: Earth, v. 55, no. 2, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","ipdsId":"IP-017589","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73e4e4b0037667dbc7f8","contributors":{"authors":[{"text":"Virta, Robert L. rvirta@usgs.gov","contributorId":395,"corporation":false,"usgs":true,"family":"Virta","given":"Robert","email":"rvirta@usgs.gov","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":476486,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044852,"text":"70044852 - 2010 - Bauxite and alumina","interactions":[],"lastModifiedDate":"2013-04-16T11:49:38","indexId":"70044852","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Bauxite and alumina","docAbstract":"The article reports on the global market performance of bauxite and alumina in 2009 and presents an outlook for their 2010 performance. There were only several U.S. states that could produce bauxite and bauxitic clays including Georgia, Arkansas, and Alabama. The prices for imported refractory-grade calcined bauxite ranged between 426 U.S. dollars and 554 dollars per ton.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","publisherLocation":"Englewood, CO","usgsCitation":"Bray, E., 2010, Bauxite and alumina: Mining Engineering, v. 62, no. 6, p. 40-41.","productDescription":"2 p.","startPage":"40","endPage":"41","ipdsId":"IP-028723","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516d2165e4b0411d430a89d8","contributors":{"authors":[{"text":"Bray, E.L.","contributorId":95830,"corporation":false,"usgs":true,"family":"Bray","given":"E.L.","email":"","affiliations":[],"preferred":false,"id":476407,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044819,"text":"70044819 - 2010 - Mineral resource of the month: salt","interactions":[],"lastModifiedDate":"2013-05-08T20:19:16","indexId":"70044819","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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: salt","docAbstract":"The article presents information on various types of salt. Rock salt is either found from underground halite deposits or near the surface. Other types of salt include solar salt, salt brine, and vacuum pan salt. The different uses of salt are also given including its use as a flavor enhancer, as a road deicing agent, and to manufacture sodium hydroxide.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Kostick, D.S., 2010, Mineral resource of the month: salt: Earth, v. 55, no. 4, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","ipdsId":"IP-019136","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f2e4b0037667dbc89e","contributors":{"authors":[{"text":"Kostick, Dennis S.","contributorId":49919,"corporation":false,"usgs":true,"family":"Kostick","given":"Dennis","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476373,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045921,"text":"70045921 - 2010 - Mineral resource of the month: silicon","interactions":[],"lastModifiedDate":"2013-05-08T20:15:39","indexId":"70045921","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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: silicon","docAbstract":"The article offers information about silicon, a metalloid element which is considered the second-most abundant element in the Earth crust.","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, 2010, Mineral resource of the month: silicon: Earth, v. 55, no. 10, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f2e4b0037667dbc8a2","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":535511,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044801,"text":"70044801 - 2010 - Mineral resource of the month: iron ore","interactions":[],"lastModifiedDate":"2013-05-08T20:22:02","indexId":"70044801","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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: iron ore","docAbstract":"The article provides information on iron ore, including its use in steelmaking.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Jorgenson, J., 2010, Mineral resource of the month: iron ore: Earth, v. 55, no. 1, p. 29-29.","productDescription":"1 p.","startPage":"29","endPage":"29","ipdsId":"IP-017293","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73ede4b0037667dbc869","contributors":{"authors":[{"text":"Jorgenson, John","contributorId":89223,"corporation":false,"usgs":true,"family":"Jorgenson","given":"John","affiliations":[],"preferred":false,"id":476343,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045910,"text":"70045910 - 2010 - Mineral resource of the month: perlite","interactions":[],"lastModifiedDate":"2013-05-08T17:43:37","indexId":"70045910","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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: perlite","docAbstract":"The article talks about perlite, which is a mineral used as an aggregate for lightweight construction products, filler for paints and horticultural soil blends. Perlite comes from viscous lava, mined and processed to produce lightweight material that competes with pumice, exfoliated vermiculite and expanded clay and shale. It is mined in about 35 countries that include Greece, Japan and the U.S. Other uses include insulation, concrete and plaster aggregate, and stonewashing.","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, 2010, Mineral resource of the month: perlite: Earth, v. 55, no. 8, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f0e4b0037667dbc887","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":535505,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042790,"text":"70042790 - 2010 - Importance of benthic production to fish populations in Lake Mead prior to the establishment of quagga mussels","interactions":[],"lastModifiedDate":"2013-06-06T08:33:50","indexId":"70042790","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Importance of benthic production to fish populations in Lake Mead prior to the establishment of quagga mussels","docAbstract":"Limnologists recently have developed an interest in quantifying benthic resource contributions to higher-level consumers. Much of this research focuses on natural lakes with very little research in reservoirs. In this study, we provide a contemporary snapshot of the food web structure of Lake Mead to evaluate the contribution of benthic resources to fish consumers. In addition, we document the available food to fishes on soft sediments and changes to the invertebrate community over 2 time periods. Benthic invertebrate food availability for fishes is greater in Las Vegas Bay than Overton Arm. Las Vegas Bay is dominated by oligochaetes, whose biomass increased with depth, while Overton Arm is dominated by chironomids, whose biomass did not change with depth. Diet and isotopic measurements indicate the fish community largely relies on benthic resources regardless of basin (Las Vegas Bay >80%; Overton Arm >92%); however, the threadfin shad likely contribute more to largemouth and striped bass production in Overton Arm versus Las Vegas Bay. A 2-time period analysis, pre and post quagga mussel establishment and during lake level declines, suggests there is no change in the density of benthic invertebrates in Boulder Basin, but there were greater abundances of select taxa in this basin by season and depth than in other basins. Given the potential of alterations as a result of the expansion of quagga mussel and the reliance of the fishery on benthic resources, future investigation of basin specific, benthic processes is recommended.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Lake and Reservoir Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/07438141.2010.541328","usgsCitation":"Umek, J., Chandra, S., Rosen, M., Wittmann, M., Sullivan, J., and Orsak, E., 2010, Importance of benthic production to fish populations in Lake Mead prior to the establishment of quagga mussels: Lake and Reservoir Management, v. 26, no. 4, p. 293-305, https://doi.org/10.1080/07438141.2010.541328.","productDescription":"13 p.","startPage":"293","endPage":"305","ipdsId":"IP-015326","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":475467,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/07438141.2010.541328","text":"Publisher Index Page"},{"id":273349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266325,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/07438141.2010.541328"}],"country":"United States","state":"Nevada","otherGeospatial":"Lake Mead","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.9,35.99 ], [ -114.9,36.52 ], [ -113.78,36.52 ], [ -113.78,35.99 ], [ -114.9,35.99 ] ] ] } } ] }","volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b1bbd3e4b022a6a540f9dd","contributors":{"authors":[{"text":"Umek, John","contributorId":23423,"corporation":false,"usgs":true,"family":"Umek","given":"John","email":"","affiliations":[],"preferred":false,"id":472271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandra, Sudeep","contributorId":33195,"corporation":false,"usgs":false,"family":"Chandra","given":"Sudeep","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":472272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael","contributorId":87441,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","affiliations":[],"preferred":false,"id":472274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wittmann, Marion","contributorId":87443,"corporation":false,"usgs":true,"family":"Wittmann","given":"Marion","affiliations":[],"preferred":false,"id":472275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Joe","contributorId":83427,"corporation":false,"usgs":true,"family":"Sullivan","given":"Joe","email":"","affiliations":[],"preferred":false,"id":472273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orsak, Erik","contributorId":92763,"corporation":false,"usgs":true,"family":"Orsak","given":"Erik","affiliations":[],"preferred":false,"id":472276,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70041976,"text":"70041976 - 2010 - Diet of lake trout and burbot in northern Lake Michigan during spring: Evidence of ecological interaction","interactions":[],"lastModifiedDate":"2012-12-27T10:51:37","indexId":"70041976","displayToPublicDate":"2012-12-23T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Diet of lake trout and burbot in northern Lake Michigan during spring: Evidence of ecological interaction","docAbstract":"We used analyses of burbot (<i>Lota lota</i>) and lake trout (<i>Salvelinus namaycush</i>) diets taken during spring gill-net surveys in northern Lake Michigan in 2006-2008 to investigate the potential for competition and predator-prey interactions between these two species. We also compared our results to historical data from 1932. During 2006-2008, lake trout diet consisted mainly of alewives (<i>Alosa pseudoharengus</i>) and rainbow smelt (<i>Osmerus mordax</i>), whereas burbot utilized a much wider prey base including round goby (<i>Neogobius melanostomus</i>), rainbow smelt, alewives, and sculpins. Using the Schoener's diet overlap index, we found a higher potential for interspecific competition in 1932 than in 2006-2008, though diet overlap was not significant in either time period. No evidence of cannibalism by lake trout or lake trout predation on burbot was found in either time period. In 2006-2008, however, lake trout composed 5.4% (by weight) of burbot diet. To determine whether this predation could be having an impact on lake trout rehabilitation efforts in northern Lake Michigan, we developed a bioenergetic-based consumption estimate for burbot on Boulder Reef (a representative reef within the Northern Refuge) and found that burbot alone can consume a considerable proportion of the yearling lake trout stocked annually, depending on burbot density. Overall, we conclude that predation, rather than competition, is the more important ecological interaction between burbot and lake trout, and burbot predation may be contributing to the failed lake trout rehabilitation efforts in Lake Michigan.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jglr.2010.02.007","usgsCitation":"Jacobs, G.R., Madenjian, C.P., Bunnell, D., and Holuszko, J.D., 2010, Diet of lake trout and burbot in northern Lake Michigan during spring: Evidence of ecological interaction: Journal of Great Lakes Research, v. 36, no. 2, p. 312-317, https://doi.org/10.1016/j.jglr.2010.02.007.","productDescription":"6 p.","startPage":"312","endPage":"317","numberOfPages":"6","ipdsId":"IP-014520","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":264809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264810,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2010.02.007"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.776,45.516 ], [ -85.776,45.877 ], [ -85.393,45.877 ], [ -85.393,45.516 ], [ -85.776,45.516 ] ] ] } } ] }","volume":"36","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cff1e4b0a4aa5bb0aec3","contributors":{"authors":[{"text":"Jacobs, Gregory R.","contributorId":68189,"corporation":false,"usgs":true,"family":"Jacobs","given":"Gregory","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":470523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":470521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunnell, David B.","contributorId":14360,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","affiliations":[],"preferred":false,"id":470522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holuszko, Jeffrey D.","contributorId":104429,"corporation":false,"usgs":true,"family":"Holuszko","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":470524,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041792,"text":"70041792 - 2010 - Introduction to special section on phenomenology, underlying processes, and hazard implications of aseismic slip and nonvolcanic tremor","interactions":[],"lastModifiedDate":"2019-07-17T16:30:24","indexId":"70041792","displayToPublicDate":"2012-12-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to special section on phenomenology, underlying processes, and hazard implications of aseismic slip and nonvolcanic tremor","docAbstract":"This paper introduces the special section on the \"phenomenology, underlying processes, and hazard implications of aseismic slip and nonvolcanic tremor\" by highlighting key results of the studies published in it. Many of the results indicate that seismic and aseismic manifestations of slow slip reflect transient shear displacements on the plate interface, with the outstanding exception of northern Cascadia where tremor sources have been located on and above the plate interface (differing models of the plate interface there also need to be reconciled). Slow slip phenomena appear to result from propagating deformation that may develop with persistent gaps and segment boundaries. Results add to evidence that when tectonic deformation is relaxed via slow slip, most relaxation occurs aseismically but with seismic signals providing higher-resolution proxies for the aseismic slip. Instead of two distinct slip modes as suggested previously, lines between \"fast\" and \"slow\" slip more appropriately may be described as blurry zones. Results reported also show that slow slip sources do not coincide with a specific temperature or metamorphic reaction. Their associations with zones of high conductivity and low shear to compressional wave velocity ratios corroborate source models involving pore fluid pressure buildup and release. These models and spatial anticorrelations between earthquake and tremor activity also corroborate a linkage between slow slip and frictional properties transitional between steady state and stick-slip. Finally, this special section highlights the benefits of global and multidisciplinary studies, which demonstrate that slow phenomena are not confined to beneath the locked zone but exist in many settings.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010JB008052","usgsCitation":"Gomberg, J., 2010, Introduction to special section on phenomenology, underlying processes, and hazard implications of aseismic slip and nonvolcanic tremor: Journal of Geophysical Research, v. 115, 6 p.; B00A00, https://doi.org/10.1029/2010JB008052.","productDescription":"6 p.; B00A00","numberOfPages":"6","ipdsId":"IP-025538","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":475479,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jb008052","text":"Publisher Index Page"},{"id":264107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264105,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JB008052"}],"country":"United States","volume":"115","noUsgsAuthors":false,"publicationDate":"2010-12-18","publicationStatus":"PW","scienceBaseUri":"50d20c51e4b08b071e771b86","contributors":{"authors":[{"text":"Gomberg, Joan","contributorId":77919,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","affiliations":[],"preferred":false,"id":470218,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}