{"pageNumber":"1859","pageRowStart":"46450","pageSize":"25","recordCount":184982,"records":[{"id":70033931,"text":"70033931 - 2011 - Ultramafic-derived arsenic in a fractured bedrock aquifer","interactions":[],"lastModifiedDate":"2012-03-12T17:21:32","indexId":"70033931","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Ultramafic-derived arsenic in a fractured bedrock aquifer","docAbstract":"In the fractured bedrock aquifer of northern Vermont, USA, As concentrations in groundwater range from <1 to 327??g/L (<13-4360nm/L) and these elevated occurrences have a general spatial association with ultramafic rock bodies. The ultramafic rocks in this region are comprised mainly of serpentinites and talc-magnesite rocks with average As concentration of 93ppm and a range from 1 to 1105ppm. By comparison, the other main lithologies in the study area are depleted in As relative to the ultramafics: the average As concentration in metabasaltic rocks is 4.1ppm with a range of <1-69ppm, and mean As concentration in meta-sedimentary phyllites and schists is 22ppm with a range of <1-190ppm. In the ultramafic rocks, As is correlated with Sb and light rare earth elements, indicating that As was introduced to the ultramafic rocks during metasomatism by fluids derived from the subducting slab. Evidence from sequential chemical extraction, X-ray diffraction (XRD) and stoichiometric analysis indicates that the majority of the As is located in antigorite and magnesite (MgCO3) with lesser amounts in magnetite (Fe3O4). Hydrochemistry of monitoring wells drilled into fractured ultramafic rock in a groundwater recharge area with no anthropogenic As source reveals above background As (2-9??g/L) and an Mg-HCO3 hydrochemical signature that reflects dissolution of antigorite and magnesite, confirming that As in groundwater can be derived from ultramafic rock dissolution. Arsenic mobility in groundwater affected by ultramafic rock dissolution may be enhanced by alkaline pH values and relatively high HCO3- concentrations. ?? 2011 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apgeochem.2011.01.004","issn":"08832927","usgsCitation":"Ryan, P., Kim, J., Wall, A., Moen, J., Corenthal, L., Chow, D., Sullivan, C., and Bright, K., 2011, Ultramafic-derived arsenic in a fractured bedrock aquifer: Applied Geochemistry, v. 26, no. 4, p. 444-457, https://doi.org/10.1016/j.apgeochem.2011.01.004.","startPage":"444","endPage":"457","numberOfPages":"14","costCenters":[],"links":[{"id":214328,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.01.004"},{"id":242045,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbc02e4b08c986b32898c","contributors":{"authors":[{"text":"Ryan, P.C.","contributorId":10240,"corporation":false,"usgs":true,"family":"Ryan","given":"P.C.","email":"","affiliations":[],"preferred":false,"id":443238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, J.","contributorId":9813,"corporation":false,"usgs":true,"family":"Kim","given":"J.","email":"","affiliations":[],"preferred":false,"id":443237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wall, A.J.","contributorId":8686,"corporation":false,"usgs":true,"family":"Wall","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":443236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moen, J.C.","contributorId":53181,"corporation":false,"usgs":true,"family":"Moen","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":443240,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corenthal, L.G.","contributorId":61658,"corporation":false,"usgs":true,"family":"Corenthal","given":"L.G.","email":"","affiliations":[],"preferred":false,"id":443242,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chow, D.R.","contributorId":62847,"corporation":false,"usgs":true,"family":"Chow","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":443243,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sullivan, C.M.","contributorId":26530,"corporation":false,"usgs":true,"family":"Sullivan","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":443239,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bright, K.S.","contributorId":55222,"corporation":false,"usgs":true,"family":"Bright","given":"K.S.","email":"","affiliations":[],"preferred":false,"id":443241,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70034634,"text":"70034634 - 2011 - Toxicity of methylmercury injected into eggs when dissolved in water versus corn oil","interactions":[],"lastModifiedDate":"2020-01-11T11:39:45","indexId":"70034634","displayToPublicDate":"2011-01-01T00:00:00","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":"Toxicity of methylmercury injected into eggs when dissolved in water versus corn oil","docAbstract":"

In a previous study, the embryotoxicity of methylmercury dissolved in corn oil was compared among 26 species of birds. Corn oil is not soluble in the water‐based matrix that constitutes the albumen of an egg. To determine whether the use of corn oil limited the usefulness of this earlier study, a comparison was made of the embryotoxicity of methylmercury dissolved in corn oil versus water. Mallard (Anas platyrhynchos) and chicken (Gallus gallus) eggs were injected with methylmercury chloride dissolved in corn oil or water to achieve concentrations of 0, 0.2, 0.4, 0.8, and 1.6 µg/g mercury in the egg on a wet weight basis. Hatching success at each dose of mercury was compared between the two solvents. For mallards, 16.4% of the eggs injected with 1.6 µg/g mercury dissolved in water hatched, which was statistically lower than the 37.6% hatch rate of eggs injected with 1.6 µg/g mercury dissolved in corn oil, but no differences in hatching success were observed between corn oil and water at any of the other doses. With chicken eggs, no significant differences occurred in percentage hatch of eggs between corn oil and water at any of the mercury doses. Methylmercury dissolved in corn oil seems to have a toxicity to avian embryos similar to that of does methylmercury dissolved in water. Consequently, the results from the earlier study that described the toxicity of methylmercury dissolved in corn oil to avian embryos were probably not compromised by the use of corn oil as a solvent.

","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.601","issn":"07307268","usgsCitation":"Heinz, G.H., Hoffman, D.J., Klimstra, J.D., Stebbins, K.R., and Kondrad, S.L., 2011, Toxicity of methylmercury injected into eggs when dissolved in water versus corn oil: Environmental Toxicology and Chemistry, v. 30, no. 9, p. 2103-2106, https://doi.org/10.1002/etc.601.","productDescription":"4 p.","startPage":"2103","endPage":"2106","numberOfPages":"4","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":243544,"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":"505bb605e4b08c986b3269fb","contributors":{"authors":[{"text":"Heinz, Gary H.","contributorId":85698,"corporation":false,"usgs":true,"family":"Heinz","given":"Gary","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":446783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, Daivd J.","contributorId":28693,"corporation":false,"usgs":true,"family":"Hoffman","given":"Daivd","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":446779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klimstra, Jon D.","contributorId":6985,"corporation":false,"usgs":false,"family":"Klimstra","given":"Jon","email":"","middleInitial":"D.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":446782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stebbins, Katherine R.","contributorId":94012,"corporation":false,"usgs":true,"family":"Stebbins","given":"Katherine","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":446780,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kondrad, Shannon L.","contributorId":34646,"corporation":false,"usgs":true,"family":"Kondrad","given":"Shannon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":446781,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034529,"text":"70034529 - 2011 - Late Pleistocene glaciation of the Mt Giluwe volcano, Papua New Guinea","interactions":[],"lastModifiedDate":"2021-04-16T21:23:06.218555","indexId":"70034529","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Late Pleistocene glaciation of the Mt Giluwe volcano, Papua New Guinea","docAbstract":"

The Mt Giluwe shield volcano was the largest area glaciated in Papua New Guinea during the Pleistocene. Despite minimal cooling of the sea surface during the last glacial maximum, glaciers reached elevations as low as 3200 m. To investigate changes in the extent of ice through time we have re-mapped evidence for glaciation on the southwest flank of Mt Giluwe. We find that an ice cap has formed on the flanks of the mountain on at least three, and probably four, separate occasions. To constrain the ages of these glaciations we present 39 new cosmogenic 36Cl exposure ages complemented by new radiocarbon dates. Direct dating of the moraines identifies that the maximum extent of glaciation on the mountain was not during the last glacial maximum as previously thought. In conjunction with existing potassium/argon and radiocarbon dating, we recognise four distinct glacial periods between 293–306 ka (Gogon Glaciation), 136–158 ka (Mengane Glaciation), centred at 62 ka (Komia Glaciation) and from >20.3–11.5 ka (Tongo Glaciation). The temperature difference relative to the present during the Tongo Glaciation is likely to be of the order of at least 5 °C which is a minimum difference for the previous glaciations. During the Tongo Glaciation, ice was briefly at its maximum for less than 1000 years, but stayed near maximum levels for nearly 4000 years, until about 15.4 ka. Over the next 4000 years there was more rapid retreat with ice free conditions by the early Holocene.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2011.05.022","issn":"02773791","usgsCitation":"Barrows, T., Hope, G., Prentice, M., Fifield, L., and Tims, S., 2011, Late Pleistocene glaciation of the Mt Giluwe volcano, Papua New Guinea: Quaternary Science Reviews, v. 30, no. 19-20, p. 2676-2689, https://doi.org/10.1016/j.quascirev.2011.05.022.","productDescription":"14 p.","startPage":"2676","endPage":"2689","costCenters":[],"links":[{"id":243371,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215559,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quascirev.2011.05.022"}],"volume":"30","issue":"19-20","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4513e4b0c8380cd67000","contributors":{"authors":[{"text":"Barrows, T.T.","contributorId":53620,"corporation":false,"usgs":true,"family":"Barrows","given":"T.T.","email":"","affiliations":[],"preferred":false,"id":446234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hope, G.S.","contributorId":97730,"corporation":false,"usgs":true,"family":"Hope","given":"G.S.","email":"","affiliations":[],"preferred":false,"id":446236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prentice, M.L.","contributorId":81227,"corporation":false,"usgs":true,"family":"Prentice","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":446235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fifield, L.K.","contributorId":47575,"corporation":false,"usgs":true,"family":"Fifield","given":"L.K.","email":"","affiliations":[],"preferred":false,"id":446233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tims, S.G.","contributorId":107958,"corporation":false,"usgs":true,"family":"Tims","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":446237,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70033778,"text":"70033778 - 2011 - Soil and periphyton indicators of anthropogenic water-quality changes in a rainfall-driven wetland","interactions":[],"lastModifiedDate":"2023-11-29T00:55:32.097845","indexId":"70033778","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Soil and periphyton indicators of anthropogenic water-quality changes in a rainfall-driven wetland","docAbstract":"

Surface soils and periphyton communities were sampled across an oligotrophic, soft-water wetland to document changes associated with pulsed inputs of nutrient- and mineral-rich canal drainage waters. A gradient of canal-water influence was indicated by the surface-water specific conductance, which ranged between 743 and 963 μS cm−1 in the canals to as low as 60 μS cm−1 in the rainfall-driven wetland interior. Changes in soil chemistry and periphyton taxonomic composition across this gradient were described using piecewise regressions models. The greatest increase in soil phosphorus (P) concentration occurred at sites closest to the canal while soil mineral (sulfur, calcium) concentrations increased most rapidly at the lower end of the gradient. Multiple periphyton shifts occurred at the lower end of the gradient and included; (1) a decline in desmids and non-desmid filamentous chlorophytes, and their replacement by a diatom-dominated community; (2) the loss of soft-water diatom indicator species and their replacement by hard-water species. Increased dominance by cyanobacteria and eutrophic diatom indicators occurred closer to the canals. Soil and periphyton changes indicated four zones of increasing canal influence across the wetland: (1) a zone of increasing mineral concentrations where soft-water taxa remained dominant; (2) a transition towards hard-water, oligotrophic diatoms as mineral concentrations increased further; (3) a zone of dominance by these hard-water species; (4) a zone of rapidly increasing P concentrations and dominance by eutrophic taxa. In contrast to conclusions drawn from routine water-chemistry monitoring, measures of chemical and biological change presented here indicate that most of this rainfall-driven peatland receives some influence from canal discharges. These changes are multifaceted and induced by shifts in multiple chemical constituents.

","language":"English","publisher":"Springer","doi":"10.1007/s11273-010-9196-9","issn":"09234861","usgsCitation":"McCormick, P., 2011, Soil and periphyton indicators of anthropogenic water-quality changes in a rainfall-driven wetland: Wetlands Ecology and Management, v. 19, no. 1, p. 19-34, https://doi.org/10.1007/s11273-010-9196-9.","productDescription":"16 p.","startPage":"19","endPage":"34","numberOfPages":"16","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":242133,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.75883475987408,\n 26.94068494675595\n ],\n [\n -80.75883475987408,\n 25.983535729330498\n ],\n [\n -80.09680254327925,\n 25.983535729330498\n ],\n [\n -80.09680254327925,\n 26.94068494675595\n ],\n [\n -80.75883475987408,\n 26.94068494675595\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-07-31","publicationStatus":"PW","scienceBaseUri":"505b91eae4b08c986b319b9c","contributors":{"authors":[{"text":"McCormick, P.V.","contributorId":93272,"corporation":false,"usgs":true,"family":"McCormick","given":"P.V.","email":"","affiliations":[],"preferred":false,"id":442406,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70034103,"text":"70034103 - 2011 - Recovery and reprocessing of legacy geophysical data from the archives of the State Company of Geology and Mining (GEOSURV) of Iraq and Iraq Petroleum Company (IPC)","interactions":[],"lastModifiedDate":"2025-05-14T18:54:35.141578","indexId":"70034103","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3317,"text":"SEG Technical Program Expanded Abstracts","active":true,"publicationSubtype":{"id":10}},"title":"Recovery and reprocessing of legacy geophysical data from the archives of the State Company of Geology and Mining (GEOSURV) of Iraq and Iraq Petroleum Company (IPC)","docAbstract":"

Aeromagnetic data belonging to the State Company of Geology and Mining of Iraq (GEOSURV) have been recovered from magnetic tapes and early paper maps. In 1974 a national airborne survey was flown by the French firm Compagnie General de Geophysique (CGG). Following the survey the magnetic data were stored on magnetic tapes within an air conditioned archive run by GEOSURV. In 1990, the power supply to the archive was cut resulting in the present‐day poor condition of the tapes. Frontier Processing Company and the U.S. Geological Survey (USGS) have been able to recover over 99 percent of the original digital data from the CGG tapes. Preliminary reprocessing of the data yielded a total magnetic field anomaly map that reveals fine structures not evident in available published maps. Successful restoration of these comprehensive, high quality digital datasets obviates the need to resurvey the entire country, thereby saving considerable time and money. These data were delivered to GEOSURV in a standard format for further analysis and interpretation. A parallel effort by GETECH concentrated on recovering the legacy gravity data from the original field data sheets archived by IPC (Iraq Petroleum Company). These data have been compiled with more recent GEOSURV sponsored surveys thus allowing for the first time a comprehensive digital and unified national gravity database to be constructed with full principal facts. Figure 1 shows the final aeromagnetic and gravity data coverage of Iraq. The only part of Iraq lacking gravity and aeromagnetic data coverage is the mountainous areas of the Kurdish region of northeastern Iraq. Joint interpretation of the magnetic and gravity data will help guide future geophysical investigations by GEOSURV, whose ultimate aim is to discover economical mineral and energy resources.

","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3628209","usgsCitation":"Smith, D.V., Drenth, B.J., Fairhead, J., Lei, K., Dark, J., and Al-Bassam, K., 2011, Recovery and reprocessing of legacy geophysical data from the archives of the State Company of Geology and Mining (GEOSURV) of Iraq and Iraq Petroleum Company (IPC): SEG Technical Program Expanded Abstracts, v. 30, no. 1, p. 856-860, https://doi.org/10.1190/1.3628209.","startPage":"856","endPage":"860","numberOfPages":"5","costCenters":[],"links":[{"id":244802,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iran, Iraq","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 61.87499999999999,\n 25.363882272740256\n ],\n [\n 63.19335937499999,\n 27.21555620902969\n ],\n [\n 61.3037109375,\n 30.56226095049944\n ],\n [\n 61.2158203125,\n 36.421282443649496\n ],\n [\n 56.42578125,\n 38.37611542403604\n ],\n [\n 53.5693359375,\n 37.405073750176925\n ],\n [\n 50.6689453125,\n 36.914764288955936\n ],\n [\n 48.69140625,\n 38.85682013474361\n ],\n [\n 48.1201171875,\n 39.50404070558415\n ],\n [\n 44.6923828125,\n 39.740986355883564\n ],\n [\n 44.47265625,\n 37.61423141542417\n ],\n [\n 44.82421875,\n 36.63316209558658\n ],\n [\n 42.7587890625,\n 37.3002752813443\n ],\n [\n 41.220703125,\n 36.31512514748051\n ],\n [\n 41.220703125,\n 34.59704151614417\n ],\n [\n 38.97949218749999,\n 33.43144133557529\n ],\n [\n 39.287109375,\n 32.32427558887655\n ],\n [\n 44.8681640625,\n 29.19053283229458\n ],\n [\n 46.7578125,\n 29.11377539511439\n ],\n [\n 47.6806640625,\n 30.14512718337613\n ],\n [\n 48.251953125,\n 29.99300228455108\n ],\n [\n 49.1748046875,\n 30.183121842195515\n ],\n [\n 51.416015625,\n 28.497660832963472\n ],\n [\n 53.12988281249999,\n 27.137368359795584\n ],\n [\n 55.458984375,\n 26.391869671769022\n ],\n [\n 56.25,\n 27.176469131898898\n ],\n [\n 57.65624999999999,\n 25.878994400196202\n ],\n [\n 59.94140624999999,\n 25.12539261151203\n ],\n [\n 61.87499999999999,\n 25.363882272740256\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"50e4a322e4b0e8fec6cdb773","contributors":{"authors":[{"text":"Smith, David V. 0000-0003-0426-4401 dvsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0426-4401","contributorId":1306,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dvsmith@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":444104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":444106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fairhead, J.D.","contributorId":102714,"corporation":false,"usgs":true,"family":"Fairhead","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":444108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lei, K.","contributorId":19810,"corporation":false,"usgs":true,"family":"Lei","given":"K.","email":"","affiliations":[],"preferred":false,"id":444103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dark, J.A.","contributorId":43599,"corporation":false,"usgs":true,"family":"Dark","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":444105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Al-Bassam, K.","contributorId":65694,"corporation":false,"usgs":true,"family":"Al-Bassam","given":"K.","email":"","affiliations":[],"preferred":false,"id":444107,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70033827,"text":"70033827 - 2011 - Survival of European mouflon (Artiodactyla: Bovidae) in Hawai'i based on tooth cementum lines","interactions":[],"lastModifiedDate":"2012-03-12T17:21:32","indexId":"70033827","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2990,"text":"Pacific Science","active":true,"publicationSubtype":{"id":10}},"title":"Survival of European mouflon (Artiodactyla: Bovidae) in Hawai'i based on tooth cementum lines","docAbstract":"Reliable techniques for estimating age of ungulates are necessary to determine population parameters such as age structure and survival. Techniques that rely on dentition, horn, and facial patterns have limited utility for European mouflon sheep (Ovis gmelini musimon), but tooth cementum lines may offer a useful alternative. Cementum lines may not be reliable outside temperate regions, however, because lack of seasonality in diet may affect annulus formation. We evaluated the utility of tooth cementum lines for estimating age of mouflon in Hawai'i in comparison to dentition. Cementum lines were present in mouflon from Mauna Loa, island of Hawai'i, but were less distinct than in North American sheep. The two age-estimation methods provided similar estimates for individuals aged ???3 yr by dentition (the maximum age estimable by dentition), with exact matches in 51% (18/35) of individuals, and an average difference of 0.8 yr (range 04). Estimates of age from cementum lines were higher than those from dentition in 40% (14/35) and lower in 9% (3/35) of individuals. Discrepancies in age estimates between techniques and between paired tooth samples estimated by cementum lines were related to certainty categories assigned by the clarity of cementum lines, reinforcing the importance of collecting a sufficient number of samples to compensate for samples of lower quality, which in our experience, comprised approximately 22% of teeth. Cementum lines appear to provide relatively accurate age estimates for mouflon in Hawai'i, allow estimating age beyond 3 yr, and they offer more precise estimates than tooth eruption patterns. After constructing an age distribution, we estimated annual survival with a log-linear model to be 0.596 (95% CI 0.5540.642) for this heavily controlled population. ?? 2011 by University of Hawai'i Press.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pacific Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2984/65.1.059","issn":"00308870","usgsCitation":"Hess, S., Stephens, R., Thompson, T., Danner, R., and Kawakami, B., 2011, Survival of European mouflon (Artiodactyla: Bovidae) in Hawai'i based on tooth cementum lines: Pacific Science, v. 65, no. 1, p. 59-67, https://doi.org/10.2984/65.1.059.","startPage":"59","endPage":"67","numberOfPages":"9","costCenters":[],"links":[{"id":475083,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10125/23210","text":"External Repository"},{"id":214237,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2984/65.1.059"},{"id":241937,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba2c2e4b08c986b31f935","contributors":{"authors":[{"text":"Hess, S.C. 0000-0001-6403-9922","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":86081,"corporation":false,"usgs":true,"family":"Hess","given":"S.C.","affiliations":[],"preferred":false,"id":442723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephens, R.M.","contributorId":103482,"corporation":false,"usgs":true,"family":"Stephens","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":442724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, T.L.","contributorId":104296,"corporation":false,"usgs":true,"family":"Thompson","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":442725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danner, R.M.","contributorId":27671,"corporation":false,"usgs":true,"family":"Danner","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":442722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kawakami, B. Jr.","contributorId":19385,"corporation":false,"usgs":true,"family":"Kawakami","given":"B.","suffix":"Jr.","affiliations":[],"preferred":false,"id":442721,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70033836,"text":"70033836 - 2011 - Stopover habitats of spring migrating surf scoters in southeast Alaska","interactions":[],"lastModifiedDate":"2018-08-21T15:39:17","indexId":"70033836","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Stopover habitats of spring migrating surf scoters in southeast Alaska","docAbstract":"

Habitat conditions and nutrient reserve levels during spring migration have been suggested as important factors affecting population declines in waterfowl, emphasizing the need to identify key sites used during spring and understand habitat features and resource availability at stopover sites. We used satellite telemetry to identify stopover sites used by surf scoters migrating through southeast Alaska during spring. We then contrasted habitat features of these sites to those of random sites to determine habitat attributes corresponding to use by migrating scoters. We identified 14 stopover sites based on use by satellite tagged surf scoters from several wintering sites. We identified Lynn Canal as a particularly important stopover site for surf scoters originating throughout the Pacific winter range; approximately half of tagged coastally migrating surf scoters used this site, many for extended periods. Stopover sites were farther from the mainland coast and closer to herring spawn sites than random sites, whereas physical shoreline habitat attributes were generally poor predictors of site use. The geography and resource availability within southeast Alaska provides unique and potentially critical stopover habitat for spring migrating surf scoters. Our work identifies specific sites and habitat resources that deserve conservation and management consideration. Aggregations of birds are vulnerable to human activity impacts such as contaminant spills and resource management decisions. This information is of value to agencies and organizations responsible for emergency response planning, herring fisheries management, and bird and ecosystem conservation.

","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.5","issn":"0022541X","usgsCitation":"Lok, E.K., Esler, D., Takekawa, J.Y., De La Cruz, S., Sean, B.W., Nysewander, D., Evenson, J., and Ward, D.H., 2011, Stopover habitats of spring migrating surf scoters in southeast Alaska: Journal of Wildlife Management, v. 75, no. 1, p. 92-100, https://doi.org/10.1002/jwmg.5.","productDescription":"9 p.","startPage":"92","endPage":"100","numberOfPages":"9","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":242103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214380,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.5"}],"volume":"75","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-31","publicationStatus":"PW","scienceBaseUri":"505b9865e4b08c986b31bff5","contributors":{"authors":[{"text":"Lok, Erica K.","contributorId":47183,"corporation":false,"usgs":false,"family":"Lok","given":"Erica","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":442772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":true,"id":442770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":442774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"De La Cruz, S.W.","contributorId":82544,"corporation":false,"usgs":true,"family":"De La Cruz","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":442775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sean, Boyd W.","contributorId":19791,"corporation":false,"usgs":true,"family":"Sean","given":"Boyd","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":442771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nysewander, D.R.","contributorId":90946,"corporation":false,"usgs":true,"family":"Nysewander","given":"D.R.","affiliations":[],"preferred":false,"id":442776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evenson, J.R.","contributorId":105927,"corporation":false,"usgs":true,"family":"Evenson","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":442777,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":442773,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70034532,"text":"70034532 - 2011 - Storage as a Metric of Catchment Comparison","interactions":[],"lastModifiedDate":"2021-04-16T21:09:39.262456","indexId":"70034532","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Storage as a Metric of Catchment Comparison","docAbstract":"

The volume of water stored within a catchment, and its partitioning among groundwater, soil moisture, snowpack, vegetation, and surface water are the variables that ultimately characterize the state of the hydrologic system. Accordingly, storage may provide useful metrics for catchment comparison. Unfortunately, measuring and predicting the amount of water present in a catchment is seldom done; tracking the dynamics of these stores is even rarer. Storage moderates fluxes and exerts critical controls on a wide range of hydrologic and biologic functions of a catchment. While understanding runoff generation and other processes by which catchments release water will always be central to hydrologic science, it is equally essential to understand how catchments retain water. We have initiated a catchment comparison exercise to begin assessing the value of viewing catchments from the storage perspective. The exercise is based on existing data from five watersheds, no common experimental design, and no integrated modelling efforts. Rather, storage was estimated independently for each site. This briefing presents some initial results of the exercise, poses questions about the definitions and importance of storage and the storage perspective, and suggests future directions for ongoing activities.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8113","issn":"08856087","usgsCitation":"McNamara, J.P., Tetzlaff, D., Bishop, K., Soulsby, C., Seyfried, M., Peters, N., Aulenbach, B., and Hooper, R., 2011, Storage as a Metric of Catchment Comparison: Hydrological Processes, v. 25, no. 21, p. 3364-3371, https://doi.org/10.1002/hyp.8113.","productDescription":"8 p.","startPage":"3364","endPage":"3371","costCenters":[],"links":[{"id":243438,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215622,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8113"}],"volume":"25","issue":"21","noUsgsAuthors":false,"publicationDate":"2011-05-10","publicationStatus":"PW","scienceBaseUri":"505b986de4b08c986b31c01f","contributors":{"authors":[{"text":"McNamara, J. P.","contributorId":105551,"corporation":false,"usgs":false,"family":"McNamara","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":446251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tetzlaff, D.","contributorId":106622,"corporation":false,"usgs":true,"family":"Tetzlaff","given":"D.","email":"","affiliations":[],"preferred":false,"id":446252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, K.","contributorId":43191,"corporation":false,"usgs":true,"family":"Bishop","given":"K.","email":"","affiliations":[],"preferred":false,"id":446248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soulsby, C.","contributorId":40713,"corporation":false,"usgs":true,"family":"Soulsby","given":"C.","affiliations":[],"preferred":false,"id":446247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seyfried, M.","contributorId":51119,"corporation":false,"usgs":true,"family":"Seyfried","given":"M.","email":"","affiliations":[],"preferred":false,"id":446249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peters, N.E.","contributorId":33332,"corporation":false,"usgs":true,"family":"Peters","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":446245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aulenbach, Brent T.","contributorId":62766,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent T.","affiliations":[],"preferred":false,"id":446250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hooper, R.","contributorId":40036,"corporation":false,"usgs":true,"family":"Hooper","given":"R.","affiliations":[],"preferred":false,"id":446246,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70033936,"text":"70033936 - 2011 - Estimating surface faulting impacts from the shakeout scenario earthquake","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033936","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Estimating surface faulting impacts from the shakeout scenario earthquake","docAbstract":"An earthquake scenario, based on a kinematic rupture model, has been prepared for a Mw 7.8 earthquake on the southern San Andreas Fault. The rupture distribution, in the context of other historic large earthquakes, is judged reasonable for the purposes of this scenario. This model is used as the basis for generating a surface rupture map and for assessing potential direct impacts on lifelines and other infrastructure. Modeling the surface rupture involves identifying fault traces on which to place the rupture, assigning slip values to the fault traces, and characterizing the specific displacements that would occur to each lifeline impacted by the rupture. Different approaches were required to address variable slip distribution in response to a variety of fault patterns. Our results, involving judgment and experience, represent one plausible outcome and are not predictive because of the variable nature of surface rupture. ?? 2011, Earthquake Engineering Research Institute.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1193/1.3583676","issn":"87552930","usgsCitation":"Treiman, J., and Pontib, D., 2011, Estimating surface faulting impacts from the shakeout scenario earthquake: Earthquake Spectra, v. 27, no. 2, p. 315-330, https://doi.org/10.1193/1.3583676.","startPage":"315","endPage":"330","numberOfPages":"16","costCenters":[],"links":[{"id":214418,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.3583676"},{"id":242142,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-05-01","publicationStatus":"PW","scienceBaseUri":"505a0b4be4b0c8380cd52674","contributors":{"authors":[{"text":"Treiman, J.A.","contributorId":19735,"corporation":false,"usgs":true,"family":"Treiman","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":443286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pontib, D.J.","contributorId":6273,"corporation":false,"usgs":true,"family":"Pontib","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":443285,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034631,"text":"70034631 - 2011 - Programed oil generation of the Zubair Formation, Southern Iraq oil fields: Results from Petromod software modeling and geochemical analysis","interactions":[],"lastModifiedDate":"2026-01-27T18:58:44.114033","indexId":"70034631","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":875,"text":"Arabian Journal of Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Programed oil generation of the Zubair Formation, Southern Iraq oil fields: Results from Petromod software modeling and geochemical analysis","docAbstract":"

1D petroleum system modeling was performed on wells in each of four oil fields in South Iraq, Zubair (well Zb-47), Nahr Umr (well NR-9), West Qurna (well WQ-15 and 23), and Majnoon (well Mj-8). In each of these fields, deposition of the Zubair Formation was followed by continuous burial, reaching maximum temperatures of 100°C (equivalent to 0.70%Ro) at depths of 3,344–3,750 m of well Zb-47 and 3,081.5–3,420 m of well WQ-15, 120°C (equivalent to 0.78%Ro) at depths of 3,353–3,645 m of well NR-9, and 3,391–3,691.5 m of well Mj-8. Generation of petroleum in the Zubair Formation began in the late Tertiary, 10 million years ago. At present day, modeled transformation ratios (TR) indicate that 65% TR of its generation potential has been reached in well Zb-47, 75% TR in well NR-9 and 55-85% TR in West Qurna oil field (wells WQ-15 and WQ-23) and up to 95% TR in well Mj-8, In contrast, younger source rocks are immature to early mature (<20% TR), whereas older source rocks are mature to overmature (100% TR). Comparison of these basin modeling results, in Basrah region, are performed with Kifle oil field in Hilla region of western Euphrates River whereas the Zubair Formation is immature within temperature range of 65–70°C (0.50%Ro equivalent) with up to 12% (TR = 12%) hydrocarbon generation efficiency and hence poor generation could be assessed in this last location. The Zubair Formation was deposited in a deltaic environment and consists of interbedded shales and porous and permeable sandstones. In Basrah region, the shales have total organic carbon of 0.5–7.0 wt%, Tmax 430–470°C and hydrogen indices of up to 466 with S2 = 0.4–9.4 of kerogen type II & III and petroleum potential of 0.4–9.98 of good hydrocarbon generation, which is consistent with 55–95% hydrocarbon efficiency. These generated hydrocarbons had charged (in part) the Cretaceous and Tertiary reservoirs, especially the Zubair Formation itself, in the traps formed by Alpine collision that closed the Tethys Ocean between Arabian and Euracian Plates and developed folds in Mesopotamian Basin 15–10 million years ago. These traps are mainly stratigraphic facies of sandstones with the shale that formed during the deposition of the Zubair Formation in transgression and regression phases within the main structural folds of the Zubair, Nahr Umr, West Qurna and Majnoon Oil fields. Oil biomarkers of the Zubair Formation Reservoirs are showing source affinity with mixed oil from the Upper Jurassic and Lower Cretaceous strata, including Zubair Formation organic matters, based on presentation of GC and GC-MS results on diagrams of global petroleum systems.

","language":"English, Arabic","publisher":"Springer","doi":"10.1007/s12517-010-0160-z","usgsCitation":"Al-Ameri, T.K., Pitman, J.K., Naser, M., Zumberge, J., and Al-Haydari, H.A., 2011, Programed oil generation of the Zubair Formation, Southern Iraq oil fields: Results from Petromod software modeling and geochemical analysis: Arabian Journal of Geosciences, v. 4, no. 7-8, p. 1239-1259, https://doi.org/10.1007/s12517-010-0160-z.","productDescription":"21 p.","startPage":"1239","endPage":"1259","costCenters":[],"links":[{"id":243512,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"7-8","noUsgsAuthors":false,"publicationDate":"2010-06-09","publicationStatus":"PW","scienceBaseUri":"505a8e4de4b0c8380cd7f0f9","contributors":{"authors":[{"text":"Al-Ameri, T. K.","contributorId":25008,"corporation":false,"usgs":true,"family":"Al-Ameri","given":"T.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":446765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":446767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naser, M.E.","contributorId":7521,"corporation":false,"usgs":true,"family":"Naser","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":446764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zumberge, J.","contributorId":45114,"corporation":false,"usgs":true,"family":"Zumberge","given":"J.","affiliations":[],"preferred":false,"id":446766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Al-Haydari, H. A.","contributorId":55662,"corporation":false,"usgs":true,"family":"Al-Haydari","given":"H.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":446768,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034110,"text":"70034110 - 2011 - Managing and learning with multiple models: Objectives and optimization algorithms","interactions":[],"lastModifiedDate":"2012-03-12T17:21:50","indexId":"70034110","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Managing and learning with multiple models: Objectives and optimization algorithms","docAbstract":"The quality of environmental decisions should be gauged according to managers' objectives. Management objectives generally seek to maximize quantifiable measures of system benefit, for instance population growth rate. Reaching these goals often requires a certain degree of learning about the system. Learning can occur by using management action in combination with a monitoring system. Furthermore, actions can be chosen strategically to obtain specific kinds of information. Formal decision making tools can choose actions to favor such learning in two ways: implicitly via the optimization algorithm that is used when there is a management objective (for instance, when using adaptive management), or explicitly by quantifying knowledge and using it as the fundamental project objective, an approach new to conservation.This paper outlines three conservation project objectives - a pure management objective, a pure learning objective, and an objective that is a weighted mixture of these two. We use eight optimization algorithms to choose actions that meet project objectives and illustrate them in a simulated conservation project. The algorithms provide a taxonomy of decision making tools in conservation management when there is uncertainty surrounding competing models of system function. The algorithms build upon each other such that their differences are highlighted and practitioners may see where their decision making tools can be improved. ?? 2010 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.biocon.2010.07.031","issn":"00063207","usgsCitation":"Probert, W., Hauser, C., McDonald-Madden, E., Runge, M., Baxter, P., and Possingham, H., 2011, Managing and learning with multiple models: Objectives and optimization algorithms: Biological Conservation, v. 144, no. 4, p. 1237-1245, https://doi.org/10.1016/j.biocon.2010.07.031.","startPage":"1237","endPage":"1245","numberOfPages":"9","costCenters":[],"links":[{"id":216513,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2010.07.031"},{"id":244390,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"144","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4c89e4b0c8380cd69d0c","contributors":{"authors":[{"text":"Probert, William J. M.","contributorId":44759,"corporation":false,"usgs":false,"family":"Probert","given":"William J. M.","affiliations":[],"preferred":false,"id":444138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hauser, C.E.","contributorId":82430,"corporation":false,"usgs":true,"family":"Hauser","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":444141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald-Madden, E.","contributorId":40043,"corporation":false,"usgs":true,"family":"McDonald-Madden","given":"E.","affiliations":[],"preferred":false,"id":444137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runge, M.C. 0000-0002-8081-536X","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":49312,"corporation":false,"usgs":true,"family":"Runge","given":"M.C.","affiliations":[],"preferred":false,"id":444139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baxter, P.W.J.","contributorId":90566,"corporation":false,"usgs":true,"family":"Baxter","given":"P.W.J.","email":"","affiliations":[],"preferred":false,"id":444142,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Possingham, H.P.","contributorId":67839,"corporation":false,"usgs":true,"family":"Possingham","given":"H.P.","affiliations":[],"preferred":false,"id":444140,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034461,"text":"70034461 - 2011 - Looking beyond fertilizer: Assessing the contribution of nitrogen from hydrologic inputs and organic matter to plant growth in the cranberry agroecosystem","interactions":[],"lastModifiedDate":"2021-04-20T15:44:36.170781","indexId":"70034461","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2915,"text":"Nutrient Cycling in Agroecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Looking beyond fertilizer: Assessing the contribution of nitrogen from hydrologic inputs and organic matter to plant growth in the cranberry agroecosystem","docAbstract":"

Even though nitrogen (N) is a key nutrient for successful cranberry production, N cycling in cranberry agroecosystems is not completely understood. Prior research has focused mainly on timing and uptake of ammonium fertilizer, but the objective of our study was to evaluate the potential for additional N contributions from hydrologic inputs (flooding, irrigation, groundwater, and precipitation) and organic matter (OM). Plant biomass, soil, surface and groundwater samples were collected from five cranberry beds (cranberry production fields) on four different farms, representing both upland and lowland systems. Estimated average annual plant uptake (63.3 ± 22.5 kg N ha−1 year−1) exceeded total average annual fertilizer inputs (39.5 ± 11.6 kg N ha−1 year−1). Irrigation, precipitation, and floodwater N summed to an average 23 ± 0.7 kg N ha−1 year−1, which was about 60% of fertilizer N. Leaf and stem litterfall added 5.2 ± 1.2 and 24.1 ± 3.0 kg N ha−1 year−1 respectively. The estimated net N mineralization rate from the buried bag technique was 5 ± 0.2 kg N ha−1 year−1, which was nearly 15% of fertilizer N. Dissolved organic nitrogen represented a significant portion of the total N pool in both surface water and soil samples. Mixed-ion exchange resin core incubations indicated that 80% of total inorganic N from fertilizer, irrigation, precipitation, and mineralization was nitrate, and approximately 70% of recovered inorganic N from groundwater was nitrate. There was a weak but significant negative relationship between extractable soil ammonium concentrations and ericoid mycorrhizal colonization (ERM) rates (r = −0.22, P < 0.045). Growers may benefit from balancing the N inputs from hydrologic sources and OM relative to fertilizer N in order to maximize the benefits of ERM fungi in actively mediating N cycling in cranberry agroecosystems.

","language":"English","publisher":"Springer Link","doi":"10.1007/s10705-011-9442-4","issn":"13851314","usgsCitation":"Stackpoole, S., Kosola, K., Workmaster, B., Guldan, N., Browne, B., and Jackson, R.D., 2011, Looking beyond fertilizer: Assessing the contribution of nitrogen from hydrologic inputs and organic matter to plant growth in the cranberry agroecosystem: Nutrient Cycling in Agroecosystems, v. 91, no. 1, p. 41-54, https://doi.org/10.1007/s10705-011-9442-4.","productDescription":"14 p.","startPage":"41","endPage":"54","costCenters":[],"links":[{"id":244410,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216533,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10705-011-9442-4"}],"volume":"91","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-07-05","publicationStatus":"PW","scienceBaseUri":"505a49c8e4b0c8380cd688b1","contributors":{"authors":[{"text":"Stackpoole, S.M.","contributorId":98004,"corporation":false,"usgs":true,"family":"Stackpoole","given":"S.M.","affiliations":[],"preferred":false,"id":445928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kosola, K.R.","contributorId":21008,"corporation":false,"usgs":true,"family":"Kosola","given":"K.R.","email":"","affiliations":[],"preferred":false,"id":445923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Workmaster, B.A.A.","contributorId":57294,"corporation":false,"usgs":true,"family":"Workmaster","given":"B.A.A.","email":"","affiliations":[],"preferred":false,"id":445926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guldan, N.M.","contributorId":38809,"corporation":false,"usgs":true,"family":"Guldan","given":"N.M.","email":"","affiliations":[],"preferred":false,"id":445925,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Browne, B.A.","contributorId":85006,"corporation":false,"usgs":true,"family":"Browne","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":445927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, R. D.","contributorId":30758,"corporation":false,"usgs":false,"family":"Jackson","given":"R.","email":"","middleInitial":"D.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":445924,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034021,"text":"70034021 - 2011 - A model for seasonal changes in GPS positions and seismic wave speeds due to thermoelastic and hydrologic variations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034021","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"A model for seasonal changes in GPS positions and seismic wave speeds due to thermoelastic and hydrologic variations","docAbstract":"It is known that GPS time series contain a seasonal variation that is not due to tectonic motions, and it has recently been shown that crustal seismic velocities may also vary seasonally. In order to explain these changes, a number of hypotheses have been given, among which thermoelastic and hydrology-induced stresses and strains are leading candidates. Unfortunately, though, since a general framework does not exist for understanding such seasonal variations, it is currently not possible to quickly evaluate the plausibility of these hypotheses. To fill this gap in the literature, I generalize a two-dimensional thermoelastic strain model to provide an analytic solution for the displacements and wave speed changes due to either thermoelastic stresses or hydrologic loading, which consists of poroelastic stresses and purely elastic stresses. The thermoelastic model assumes a periodic surface temperature, and the hydrologic models similarly assume a periodic near-surface water load. Since all three models are two-dimensional and periodic, they are expected to only approximate any realistic scenario; but the models nonetheless provide a quantitative framework for estimating the effects of thermoelastic and hydrologic variations. Quantitative comparison between the models and observations is further complicated by the large uncertainty in some of the relevant parameters. Despite this uncertainty, though, I find that maximum realistic thermoelastic effects are unlikely to explain a large fraction of the observed annual variation in a typical GPS displacement time series or of the observed annual variations in seismic wave speeds in southern California. Hydrologic loading, on the other hand, may be able to explain a larger fraction of both the annual variations in displacements and seismic wave speeds. Neither model is likely to explain all of the seismic wave speed variations inferred from observations. However, more definitive conclusions cannot be made until the model parameters are better constrained. Copyright ?? 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010JB008156","issn":"01480227","usgsCitation":"Tsai, V., 2011, A model for seasonal changes in GPS positions and seismic wave speeds due to thermoelastic and hydrologic variations: Journal of Geophysical Research B: Solid Earth, v. 116, no. 4, https://doi.org/10.1029/2010JB008156.","costCenters":[],"links":[{"id":475434,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jb008156","text":"Publisher Index Page"},{"id":216684,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JB008156"},{"id":244569,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-19","publicationStatus":"PW","scienceBaseUri":"5059e46be4b0c8380cd4665b","contributors":{"authors":[{"text":"Tsai, V.C.","contributorId":41661,"corporation":false,"usgs":true,"family":"Tsai","given":"V.C.","email":"","affiliations":[],"preferred":false,"id":443684,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70034111,"text":"70034111 - 2011 - Lagrangian mass-flow investigations of inorganic contaminants in wastewater-impacted streams","interactions":[],"lastModifiedDate":"2020-01-14T10:10:14","indexId":"70034111","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Lagrangian mass-flow investigations of inorganic contaminants in wastewater-impacted streams","docAbstract":"

Understanding the potential effects of increased reliance on wastewater treatment plant (WWTP) effluents to meet municipal, agricultural, and environmental flow requires an understanding of the complex chemical loading characteristics of the WWTPs and the assimilative capacity of receiving waters. Stream ecosystem effects are linked to proportions of WWTP effluent under low-flow conditions as well as the nature of the effluent chemical mixtures. This study quantifies the loading of 58 inorganic constituents (nutrients to rare earth elements) from WWTP discharges relative to upstream landscape-based sources. Stream assimilation capacity was evaluated by Lagrangian sampling, using flow velocities determined from tracer experiments to track the same parcel of water as it moved downstream. Boulder Creek, Colorado and Fourmile Creek, Iowa, representing two different geologic and hydrologic landscapes, were sampled under low-flow conditions in the summer and spring. One-half of the constituents had greater loads from the WWTP effluents than the upstream drainages, and once introduced into the streams, dilution was the predominant assimilation mechanism. Only ammonium and bismuth had significant decreases in mass load downstream from the WWTPs during all samplings. The link between hydrology and water chemistry inherent in Lagrangian sampling allows quantitative assessment of chemical fate across different landscapes. 

","language":"English","publisher":"American Chemical Society","doi":"10.1021/es104138y","issn":"0013936X","usgsCitation":"Barber, L.B., Antweiler, R.C., Flynn, J., Keefe, S., Kolpin, D., Roth, D., Schnoebelen, D., Taylor, H.E., and Verplanck, P., 2011, Lagrangian mass-flow investigations of inorganic contaminants in wastewater-impacted streams: Environmental Science & Technology, v. 45, no. 7, p. 2575-2583, https://doi.org/10.1021/es104138y.","productDescription":"9 p.","startPage":"2575","endPage":"2583","numberOfPages":"9","ipdsId":"IP-014941","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":244421,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-03-07","publicationStatus":"PW","scienceBaseUri":"505a4134e4b0c8380cd653a5","contributors":{"authors":[{"text":"Barber, L. B.","contributorId":64602,"corporation":false,"usgs":true,"family":"Barber","given":"L.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":444147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":444146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, J.L.","contributorId":39889,"corporation":false,"usgs":true,"family":"Flynn","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":444145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keefe, S.H.","contributorId":18965,"corporation":false,"usgs":true,"family":"Keefe","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":444143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolpin, D.W.","contributorId":87565,"corporation":false,"usgs":true,"family":"Kolpin","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":444148,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roth, D.A.","contributorId":100864,"corporation":false,"usgs":true,"family":"Roth","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":444150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schnoebelen, D.J.","contributorId":98352,"corporation":false,"usgs":true,"family":"Schnoebelen","given":"D.J.","affiliations":[],"preferred":false,"id":444149,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":444144,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Verplanck, P. L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":106565,"corporation":false,"usgs":true,"family":"Verplanck","given":"P. L.","affiliations":[],"preferred":false,"id":444151,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70033990,"text":"70033990 - 2011 - Formation dynamics of subsurface hydrocarbon intrusions following the Deepwater Horizon blowout","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70033990","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Formation dynamics of subsurface hydrocarbon intrusions following the Deepwater Horizon blowout","docAbstract":"Hydrocarbons released following the Deepwater Horizon (DH) blowout were found in deep, subsurface horizontal intrusions, yet there has been little discussion about how these intrusions formed. We have combined measured (or estimated) observations from the DH release with empirical relationships developed from previous lab experiments to identify the mechanisms responsible for intrusion formation and to characterize the DH plume. Results indicate that the intrusions originate from a stratification-dominated multiphase plume characterized by multiple subsurface intrusions containing dissolved gas and oil along with small droplets of liquid oil. Unlike earlier lab measurements, where the potential density in ambient water decreased linearly with elevation, at the DH site it varied quadratically. We have modified our method for estimating intrusion elevation under these conditions and the resulting estimates agree with observations that the majority of the hydrocarbons were found between 800 and 1200 m. Copyright ?? 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011GL047174","issn":"00948276","usgsCitation":"Socolofsky, S., Adams, E., and Sherwood, C.R., 2011, Formation dynamics of subsurface hydrocarbon intrusions following the Deepwater Horizon blowout: Geophysical Research Letters, v. 38, no. 9, https://doi.org/10.1029/2011GL047174.","costCenters":[],"links":[{"id":475440,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl047174","text":"Publisher Index Page"},{"id":216682,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL047174"},{"id":244567,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-05-12","publicationStatus":"PW","scienceBaseUri":"505a134be4b0c8380cd545cd","contributors":{"authors":[{"text":"Socolofsky, S.A.","contributorId":59272,"corporation":false,"usgs":true,"family":"Socolofsky","given":"S.A.","affiliations":[],"preferred":false,"id":443540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, E.E.","contributorId":98903,"corporation":false,"usgs":true,"family":"Adams","given":"E.E.","email":"","affiliations":[],"preferred":false,"id":443541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherwood, C. R.","contributorId":48235,"corporation":false,"usgs":true,"family":"Sherwood","given":"C.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":443539,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034113,"text":"70034113 - 2011 - U.S. Department of Energy's regional carbon sequestration partnership initiative: Update on validation and development phases","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034113","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"U.S. Department of Energy's regional carbon sequestration partnership initiative: Update on validation and development phases","docAbstract":"The U.S. Department of Energy (DOE) is the lead federal agency for the development and deployment of carbon sequestration technologies. The Regional Carbon Sequestration Partnerships (RCSPs) are the mechanism DOE utilizes to prove the technology and to develop human capital, stakeholder networks, information for regulatory policy, best practices documents and training to work toward the commercialization of carbon capture and storage (CCS). The RCSPs are tasked with determining the most suitable technologies, regulations, and infrastructure for carbon capture, transport, and storage in their respective geographic areas of responsibility. The seven partnerships include more than 400 state agencies, universities, national laboratories, private companies, and environmental organizations, spanning 43 states and four Canadian provinces. The Regional Partnerships Initiative is being implemented in three phases: Characterization, Validation, and Development. The initial Characterization Phase began in 2003 and was completed in 2005 and focused on characterization of CO2 storage potential within each region. It was followed by the Validation Phase, which began in 2005 and is nearing completion in 2011. The focus of the Validation Phase has been on small-scale field tests throughout the seven partnerships in various formation types such as saline, oil-bearing, and coal seams. The Validation Phase has characterized suitable CO2 storage reservoirs and identified the need for comprehensive legal and regulatory frameworks to enable commercial-scale CCS deployment. Finally, the Development Phase will consist of a series of large-scale, one-million-ton, injection tests throughout the United States and Canada. The objective of these large-scale tests is to identify the regulatory path or challenges in permitting CCS projects, to demonstrate the technology can inject CO2 safely, and to verify its permanence in geologic formations in preparation for the commercialization of geologic sequestration. ?? 2010 Elsevier Ltd. All rights reserved. ?? 2011 Published by Elsevier Ltd.","largerWorkTitle":"Energy Procedia","conferenceTitle":"10th International Conference on Greenhouse Gas Control Technologies","conferenceDate":"19 September 2010 through 23 September 2010","conferenceLocation":"Amsterdam","language":"English","doi":"10.1016/j.egypro.2011.02.271","issn":"18766102","usgsCitation":"Rodosta, T., Litynski, J., Plasynski, S., Spangler, L., Finley, R., Steadman, E., Ball, D., Gerald, H., McPherson, B., Burton, E., and Vikara, D., 2011, U.S. Department of Energy's regional carbon sequestration partnership initiative: Update on validation and development phases, in Energy Procedia, v. 4, Amsterdam, 19 September 2010 through 23 September 2010, p. 3457-3464, https://doi.org/10.1016/j.egypro.2011.02.271.","startPage":"3457","endPage":"3464","numberOfPages":"8","costCenters":[],"links":[{"id":475181,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.271","text":"Publisher Index Page"},{"id":244453,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216575,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.egypro.2011.02.271"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bba3de4b08c986b328067","contributors":{"authors":[{"text":"Rodosta, T.","contributorId":53186,"corporation":false,"usgs":true,"family":"Rodosta","given":"T.","email":"","affiliations":[],"preferred":false,"id":444157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litynski, J.","contributorId":86198,"corporation":false,"usgs":true,"family":"Litynski","given":"J.","affiliations":[],"preferred":false,"id":444161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plasynski, S.","contributorId":70622,"corporation":false,"usgs":true,"family":"Plasynski","given":"S.","affiliations":[],"preferred":false,"id":444159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spangler, L.","contributorId":42062,"corporation":false,"usgs":true,"family":"Spangler","given":"L.","email":"","affiliations":[],"preferred":false,"id":444156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finley, R.","contributorId":87779,"corporation":false,"usgs":true,"family":"Finley","given":"R.","affiliations":[],"preferred":false,"id":444163,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steadman, E.","contributorId":29667,"corporation":false,"usgs":true,"family":"Steadman","given":"E.","email":"","affiliations":[],"preferred":false,"id":444155,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ball, D.","contributorId":69392,"corporation":false,"usgs":true,"family":"Ball","given":"D.","email":"","affiliations":[],"preferred":false,"id":444158,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gerald, H.","contributorId":20184,"corporation":false,"usgs":true,"family":"Gerald","given":"H.","email":"","affiliations":[],"preferred":false,"id":444154,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McPherson, B.","contributorId":86593,"corporation":false,"usgs":true,"family":"McPherson","given":"B.","affiliations":[],"preferred":false,"id":444162,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Burton, E.","contributorId":93305,"corporation":false,"usgs":true,"family":"Burton","given":"E.","email":"","affiliations":[],"preferred":false,"id":444164,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vikara, D.","contributorId":80513,"corporation":false,"usgs":true,"family":"Vikara","given":"D.","email":"","affiliations":[],"preferred":false,"id":444160,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70034035,"text":"70034035 - 2011 - Effects of simultaneous climate change and geomorphic evolution on thermal characteristics of a shallow Alaskan lake","interactions":[],"lastModifiedDate":"2017-08-31T16:05:52","indexId":"70034035","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Effects of simultaneous climate change and geomorphic evolution on thermal characteristics of a shallow Alaskan lake","docAbstract":"

We used a hydrodynamics model to assess the consequences of climate warming and contemporary geomorphic evolution for thermal conditions in a large, shallow Alaskan lake. We evaluated the effects of both known climate and landscape change, including rapid outlet erosion and migration of the principal inlet stream, over the past 50 yr as well as future scenarios of geomorphic restoration. Compared to effects of air temperature during the past 50 yr, lake thermal properties showed little sensitivity to substantial (~60%) loss of lake volume, as the lake maximum depth declined from 6 m to 4 m driven by outlet erosion. The direction and magnitude of future lake thermal responses will be driven largely by the extent of inlet stream migration when it occurs simultaneously with outlet erosion. Maintaining connectivity with inlet streams had substantial effects on buffering lake thermal responses to warming climate. Failing to account for changing rates and types of geomorphic processes under continuing climate change may misidentify the primary drivers of lake thermal responses and reduce our ability to understand the consequences for aquatic organisms.

","language":"English","publisher":"ASLO","doi":"10.4319/lo.2011.56.1.0193","issn":"00243590","usgsCitation":"Griffiths, J.R., Schindler, D.E., Balistrieri, L.S., and Ruggerone, G.T., 2011, Effects of simultaneous climate change and geomorphic evolution on thermal characteristics of a shallow Alaskan lake: Limnology and Oceanography, v. 56, no. 1, p. 193-205, https://doi.org/10.4319/lo.2011.56.1.0193.","productDescription":"13 p.","startPage":"193","endPage":"205","numberOfPages":"13","ipdsId":"IP-023693","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":475159,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4319/lo.2011.56.1.0193","text":"Publisher Index Page"},{"id":244763,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216865,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4319/lo.2011.56.1.0193"}],"country":"United States","state":"Alaska","volume":"56","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-24","publicationStatus":"PW","scienceBaseUri":"505a07cee4b0c8380cd51844","contributors":{"authors":[{"text":"Griffiths, Jennifer R.","contributorId":149337,"corporation":false,"usgs":false,"family":"Griffiths","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[{"id":13190,"text":"School of Aquatic and Fishery Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":443760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schindler, Daniel E.","contributorId":83485,"corporation":false,"usgs":true,"family":"Schindler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":443758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":443759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruggerone, Gregory T.","contributorId":48068,"corporation":false,"usgs":true,"family":"Ruggerone","given":"Gregory","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":443761,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034620,"text":"70034620 - 2011 - Cover sequences at the northern margin of the Antongil Craton, NE Madagascar","interactions":[],"lastModifiedDate":"2013-04-02T09:52:48","indexId":"70034620","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"Cover sequences at the northern margin of the Antongil Craton, NE Madagascar","docAbstract":"The island of Madagascar is a collage of Precambrian, generally high-grade metamorphic basement domains, that are locally overlain by unmetamorphosed sedimentary rocks and poorly understood low-grade metasediments. In the Antalaha area of NE Madagascar, two distinct cover sequences rest on high-grade metamorphic and igneous basement rocks of the Archaean Antongil craton and the Neoproterozoic Bemarivo belt. The older of these two cover sequences, the Andrarona Group, consists of low-grade metasedimentary rocks. The younger sequence, the newly defined Ampohafana Formation, consists of unmetamorphosed sedimentary rocks.\n\nThe Andrarona Group rests on Neoarchaean granites and monzogranites of the Antongil craton and consists of a basal metagreywacke, thick quartzites and an upper sequence of sericite-chlorite meta-mudstones, meta-sandstones and a volcaniclastic meta-sandstone. The depositional age of the volcaniclastic meta-sandstone is constrained in age by U–Pb laser-ablation ICP-MS analyses of euhedral zircons to 1875 ± 8 Ma (2σ). Detrital zircons of Archaean and Palaeoproterozoic age represent an input from the Antongil craton and a newly defined Palaeoproterozoic igneous unit, the Masindray tonalite, which underlies the Andrarona Group, and yielded a U–Pb zircon age of 2355 ± 11 Ma (2σ), thus constraining the maximum age of deposition of the basal part of the Andrarona Group. The Andrarona Group shows a low-grade metamorphic overprint in the area near Antalaha; illite crystallinity values scatter around 0.17°Δ2Θ CuKα, which is within the epizone.\n\nThe Ampohafana Formation consists of undeformed, polymict conglomerate, cross-bedded sandstone, and red mudstone. An illite crystallinity value of >0.25°Δ2Θ CuKα obtained from the rocks is typical of the diagenetic zone. Occurrences of rhyodacite pebbles in the Ampohafana Formation and the intrusion of a basaltic dyke suggest a deposition in a WSW-ENE-trending graben system during the opening of the Indian Ocean in the Upper Cretaceous, that was characterized by extensive rhyolitic to basaltic magmatism along Madagascar's eastern coast.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Precambrian Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.precamres.2011.07.018","issn":"03019268","usgsCitation":"Bauer, W., Walsh, G., De Waele, B., Thomas, R., Horstwood, M.S., Bracciali, L., Schofield, D.I., Wollenberg, U., Lidke, D., Rasaona, I., and Rabarimanana, M., 2011, Cover sequences at the northern margin of the Antongil Craton, NE Madagascar: Precambrian Research, v. 189, no. 3-4, p. 292-312, https://doi.org/10.1016/j.precamres.2011.07.018.","productDescription":"21 p.","startPage":"292","endPage":"312","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":243848,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216009,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.precamres.2011.07.018"}],"country":"Madagascar","otherGeospatial":"Antongil Craton","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 43.2,-25.6 ], [ 43.2,-12.0 ], [ 50.5,-12.0 ], [ 50.5,-25.6 ], [ 43.2,-25.6 ] ] ] } } ] }","volume":"189","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fc91e4b0c8380cd4e314","contributors":{"authors":[{"text":"Bauer, W.","contributorId":35424,"corporation":false,"usgs":false,"family":"Bauer","given":"W.","email":"","affiliations":[],"preferred":false,"id":446714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, G. J. 0000-0003-4264-8836","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":47409,"corporation":false,"usgs":true,"family":"Walsh","given":"G. J.","affiliations":[],"preferred":false,"id":446716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Waele, B.","contributorId":42004,"corporation":false,"usgs":false,"family":"De Waele","given":"B.","email":"","affiliations":[],"preferred":false,"id":446715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Ronald J.","contributorId":25371,"corporation":false,"usgs":false,"family":"Thomas","given":"Ronald J.","affiliations":[],"preferred":false,"id":446713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horstwood, M. S. A.","contributorId":68971,"corporation":false,"usgs":false,"family":"Horstwood","given":"M.","email":"","middleInitial":"S. A.","affiliations":[],"preferred":false,"id":446717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bracciali, L.","contributorId":68984,"corporation":false,"usgs":true,"family":"Bracciali","given":"L.","email":"","affiliations":[],"preferred":false,"id":446718,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schofield, D. I.","contributorId":101094,"corporation":false,"usgs":false,"family":"Schofield","given":"D.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":446721,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wollenberg, U.","contributorId":16243,"corporation":false,"usgs":true,"family":"Wollenberg","given":"U.","email":"","affiliations":[],"preferred":false,"id":446712,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lidke, D. J.","contributorId":10857,"corporation":false,"usgs":true,"family":"Lidke","given":"D. J.","affiliations":[],"preferred":false,"id":446711,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rasaona, I.T.","contributorId":94522,"corporation":false,"usgs":true,"family":"Rasaona","given":"I.T.","email":"","affiliations":[],"preferred":false,"id":446720,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rabarimanana, M.H.","contributorId":70617,"corporation":false,"usgs":true,"family":"Rabarimanana","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":446719,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70036498,"text":"70036498 - 2011 - Oil and gas resource potential north of the Arctic Circle","interactions":[],"lastModifiedDate":"2021-01-07T19:01:03.678533","indexId":"70036498","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1784,"text":"Geological Society Memoir","active":true,"publicationSubtype":{"id":10}},"chapter":"9","title":"Oil and gas resource potential north of the Arctic Circle","docAbstract":"

The US Geological Survey recently assessed the potential for undiscovered conventional petroleum in the Arctic. Using a new map compilation of sedimentary elements, the area north of the Arctic Circle was subdivided into 70 assessment units, 48 of which were quantitatively assessed. The Circum-Arctic Resource Appraisal (CARA) was a geologically based, probabilistic study that relied mainly on burial history analysis and analogue modelling to estimate sizes and numbers of undiscovered oil and gas accumulations. The results of the CARA suggest the Arctic is gas-prone with an estimated 770–2990 trillion cubic feet of undiscovered conventional natural gas, most of which is in Russian territory. On an energy-equivalent basis, the quantity of natural gas is more than three times the quantity of oil and the largest undiscovered gas field is expected to be about 10 times the size of the largest undiscovered oil field. In addition to gas, the gas accumulations may contain an estimated 39 billion barrels of liquids. The South Kara Sea is the most prospective gas assessment unit, but giant gas fields containing more than 6 trillion cubic feet of recoverable gas are possible at a 50% chance in 10 assessment units. Sixty per cent of the estimated undiscovered oil resource is in just six assessment units, of which the Alaska Platform, with 31% of the resource, is the most prospective. Overall, the Arctic is estimated to contain between 44 and 157 billion barrels of recoverable oil. Billion barrel oil fields are possible at a 50% chance in seven assessment units. Undiscovered oil resources could be significant to the Arctic nations, but are probably not sufficient to shift the world oil balance away from the Middle East.

","language":"English","publisher":"The Geological Society","doi":"10.1144/M35.9","issn":"04354052","usgsCitation":"Gautier, D.L., Bird, K.J., Charpentier, R., Grantz, A., Houseknecht, D.W., Klett, T.R., Moore, T.E., Pitman, J.K., Schenk, C.J., Schuenemeyer, J., Sorensen, K., Tennyson, M.E., Valin, Z.C., and Wandrey, C.J., 2011, Oil and gas resource potential north of the Arctic Circle: Geological Society Memoir, v. 35, p. 151-161, https://doi.org/10.1144/M35.9.","productDescription":"11 p.","startPage":"151","endPage":"161","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":246554,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218534,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/M35.9"}],"volume":"35","noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"5059f472e4b0c8380cd4bd37","contributors":{"authors":[{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":456434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bird, Kenneth J. kbird@usgs.gov","contributorId":1015,"corporation":false,"usgs":true,"family":"Bird","given":"Kenneth","email":"kbird@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":456432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charpentier, Ronald charpentier@usgs.gov","contributorId":150415,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald","email":"charpentier@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":456430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grantz, Arthur agrantz@usgs.gov","contributorId":2585,"corporation":false,"usgs":true,"family":"Grantz","given":"Arthur","email":"agrantz@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":456433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":456431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":150416,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy","email":"tklett@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":456438,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":456439,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":456440,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schenk, Christopher J. 0000-0002-0248-7305","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":72344,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":456435,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schuenemeyer, J.H.","contributorId":106094,"corporation":false,"usgs":true,"family":"Schuenemeyer","given":"J.H.","affiliations":[],"preferred":false,"id":456442,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sorensen, K.","contributorId":78676,"corporation":false,"usgs":true,"family":"Sorensen","given":"K.","email":"","affiliations":[],"preferred":false,"id":456437,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":176582,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn","email":"tennyson@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":456429,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Valin, Zenon C. 0000-0001-6199-6700 zenon@usgs.gov","orcid":"https://orcid.org/0000-0001-6199-6700","contributorId":3742,"corporation":false,"usgs":true,"family":"Valin","given":"Zenon","email":"zenon@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":456436,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wandrey, Craig J. cwandrey@usgs.gov","contributorId":1590,"corporation":false,"usgs":true,"family":"Wandrey","given":"Craig","email":"cwandrey@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":456441,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70034456,"text":"70034456 - 2011 - Mineral transformations associated with goethite reduction by Methanosarcina barkeri","interactions":[],"lastModifiedDate":"2021-04-20T15:48:31.677876","indexId":"70034456","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Mineral transformations associated with goethite reduction by Methanosarcina barkeri","docAbstract":"

To investigate the interaction between methanogens and iron-containing minerals in anoxic environments, we conducted batch culture experiments with Methanosarcina barkeri in a phosphate-buffered basal medium (PBBM) to bioreduce structural Fe(III) in goethite with hydrogen as the sole substrate. Fe(II) and methane concentrations were monitored over the course of the bioreduction experiments with wet chemistry and gas chromatography, respectively. Subsequent mineralogical changes were characterized with X-ray diffraction (XRD) and scanning electron microscopy (SEM). In the presence of an electron shuttle anthraquinone-2,6-disulfonate (AQDS), 30% Fe(III) in goethite (weight basis) was reduced to Fe(II). In contrast, only 2% Fe(III) (weight basis) was bioreduced in the absence of AQDS. Most of the bioproduced Fe(II) was incorporated into secondary minerals including dufrénite and vivianite. Our data implied a dufrénite–vivianite transformation mechanism where a metastable dufrénite transformed to a more stable vivianite over extended time in anaerobic conditions. Methanogenesis was greatly inhibited by bioreduction of goethite Fe(III). These results have important implications for the methane flux associated with Fe(III) bioreduction and ferrous iron mineral precipitation in anaerobic soils and sediments.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.06.013","issn":"00092541","usgsCitation":"Liu, D., Wang, H., Dong, H., Qiu, X., Dong, X., and Cravotta, C., 2011, Mineral transformations associated with goethite reduction by Methanosarcina barkeri: Chemical Geology, v. 288, no. 1-2, p. 53-60, https://doi.org/10.1016/j.chemgeo.2011.06.013.","productDescription":"8 p.","startPage":"53","endPage":"60","costCenters":[],"links":[{"id":244857,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216955,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.06.013"}],"volume":"288","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5a61e4b0c8380cd6ee4f","contributors":{"authors":[{"text":"Liu, D.","contributorId":97333,"corporation":false,"usgs":true,"family":"Liu","given":"D.","affiliations":[],"preferred":false,"id":445884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Hongfang","contributorId":92635,"corporation":false,"usgs":true,"family":"Wang","given":"Hongfang","email":"","affiliations":[],"preferred":false,"id":445882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dong, H.","contributorId":94086,"corporation":false,"usgs":true,"family":"Dong","given":"H.","email":"","affiliations":[],"preferred":false,"id":445883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qiu, X.","contributorId":73422,"corporation":false,"usgs":true,"family":"Qiu","given":"X.","email":"","affiliations":[],"preferred":false,"id":445881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dong, X.","contributorId":9534,"corporation":false,"usgs":true,"family":"Dong","given":"X.","email":"","affiliations":[],"preferred":false,"id":445879,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cravotta, C.A.","contributorId":58904,"corporation":false,"usgs":true,"family":"Cravotta","given":"C.A.","affiliations":[],"preferred":false,"id":445880,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034411,"text":"70034411 - 2011 - Digital hydrologic networks supporting applications related to spatially referenced regression modeling","interactions":[],"lastModifiedDate":"2021-04-22T11:51:43.894857","indexId":"70034411","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Digital hydrologic networks supporting applications related to spatially referenced regression modeling","docAbstract":"

Digital hydrologic networks depicting surface‐water pathways and their associated drainage catchments provide a key component to hydrologic analysis and modeling. Collectively, they form common spatial units that can be used to frame the descriptions of aquatic and watershed processes. In addition, they provide the ability to simulate and route the movement of water and associated constituents throughout the landscape. Digital hydrologic networks have evolved from derivatives of mapping products to detailed, interconnected, spatially referenced networks of water pathways, drainage areas, and stream and watershed characteristics. These properties are important because they enhance the ability to spatially evaluate factors that affect the sources and transport of water‐quality constituents at various scales. SPAtially Referenced Regressions On Watershed attributes (SPARROW), a process‐based/statistical model, relies on a digital hydrologic network in order to establish relations between quantities of monitored contaminant flux, contaminant sources, and the associated physical characteristics affecting contaminant transport. Digital hydrologic networks modified from the River Reach File (RF1) and National Hydrography Dataset (NHD) geospatial datasets provided frameworks for SPARROW in six regions of the conterminous United States. In addition, characteristics of the modified RF1 were used to update estimates of mean‐annual streamflow. This produced more current flow estimates for use in SPARROW modeling.

","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00578.x","issn":"1093474X","usgsCitation":"Brakebill, J., Wolock, D., and Terziotti, S., 2011, Digital hydrologic networks supporting applications related to spatially referenced regression modeling: Journal of the American Water Resources Association, v. 47, no. 5, p. 916-932, https://doi.org/10.1111/j.1752-1688.2011.00578.x.","productDescription":"17 p.","startPage":"916","endPage":"932","costCenters":[],"links":[{"id":475217,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00578.x","text":"External Repository"},{"id":244564,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505a0120e4b0c8380cd4fadf","contributors":{"authors":[{"text":"Brakebill, J. W.","contributorId":48206,"corporation":false,"usgs":true,"family":"Brakebill","given":"J. W.","affiliations":[],"preferred":false,"id":445655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, D.M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":36601,"corporation":false,"usgs":true,"family":"Wolock","given":"D.M.","affiliations":[],"preferred":false,"id":445654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, S.E.","contributorId":6287,"corporation":false,"usgs":true,"family":"Terziotti","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":445653,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034556,"text":"70034556 - 2011 - A Regional Modeling Framework of Phosphorus Sources and Transport in Streams of the Southeastern United States","interactions":[],"lastModifiedDate":"2021-04-16T19:43:17.608421","indexId":"70034556","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"A Regional Modeling Framework of Phosphorus Sources and Transport in Streams of the Southeastern United States","docAbstract":"

We applied the SPARROW model to estimate phosphorus transport from catchments to stream reaches and subsequent delivery to major receiving water bodies in the Southeastern United States (U.S.). We show that six source variables and five land‐to‐water transport variables are significant (p < 0.05) in explaining 67% of the variability in long‐term log‐transformed mean annual phosphorus yields. Three land‐to‐water variables are a subset of landscape characteristics that have been used as transport factors in phosphorus indices developed by state agencies and are identified through experimental research as influencing land‐to‐water phosphorus transport at field and plot scales. Two land‐to‐water variables – soil organic matter and soil pH – are associated with phosphorus sorption, a significant finding given that most state‐developed phosphorus indices do not explicitly contain variables for sorption processes. Our findings for Southeastern U.S. streams emphasize the importance of accounting for phosphorus present in the soil profile to predict attainable instream water quality. Regional estimates of phosphorus associated with soil‐parent rock were highly significant in explaining instream phosphorus yield variability. Model predictions associate 31% of phosphorus delivered to receiving water bodies to geology and the highest total phosphorus yields in the Southeast were catchments with already high background levels that have been impacted by human activity.

","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2010.00517.x","issn":"1093474X","usgsCitation":"Garcia, A., Hoos, A., and Terziotti, S., 2011, A Regional Modeling Framework of Phosphorus Sources and Transport in Streams of the Southeastern United States: Journal of the American Water Resources Association, v. 47, no. 5, p. 991-1010, https://doi.org/10.1111/j.1752-1688.2010.00517.x.","productDescription":"20 p.","startPage":"991","endPage":"1010","costCenters":[],"links":[{"id":475227,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2010.00517.x","text":"External Repository"},{"id":243814,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215975,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2010.00517.x"}],"country":"United States","state":"Florida, Georgia, South Carolina, North Carolina, Virginia, Tennessee, Kentucky, Mississippi, Alabama, Georgia","otherGeospatial":"Southeastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.353515625,\n 26.96124577052697\n ],\n [\n -80.419921875,\n 27.780771643348196\n ],\n [\n -81.474609375,\n 30.50548389892728\n ],\n [\n -80.96923828125,\n 32.008075959291055\n ],\n [\n -79.3212890625,\n 33.17434155100208\n ],\n [\n -77.58544921874999,\n 34.14363482031264\n ],\n [\n -75.3662109375,\n 35.79999392988527\n ],\n [\n -75.498046875,\n 36.686041276581925\n ],\n [\n -82.8369140625,\n 36.98500309285596\n ],\n [\n -86.5283203125,\n 35.96022296929667\n ],\n [\n -88.22021484375,\n 36.94989178681327\n ],\n [\n -89.27490234375,\n 36.56260003738545\n ],\n [\n -87.9345703125,\n 35.24561909420681\n ],\n [\n -89.31884765624999,\n 34.03445260967645\n ],\n [\n -89.62646484375,\n 31.74685416292141\n ],\n [\n -89.62646484375,\n 30.088107753367257\n ],\n [\n -86.68212890625,\n 30.315987718557867\n ],\n [\n -85.40771484375,\n 30.050076521698735\n ],\n [\n -85.2978515625,\n 29.554345125748267\n ],\n [\n -84.287109375,\n 29.973970240516614\n ],\n [\n -83.03466796874999,\n 29.11377539511439\n ],\n [\n -82.7490234375,\n 28.76765910569123\n ],\n [\n -82.96875,\n 27.780771643348196\n ],\n [\n -82.353515625,\n 26.96124577052697\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-03-10","publicationStatus":"PW","scienceBaseUri":"5059e2ffe4b0c8380cd45d88","contributors":{"authors":[{"text":"Garcia, A.M.","contributorId":31585,"corporation":false,"usgs":true,"family":"Garcia","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":446388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoos, A.B.","contributorId":23572,"corporation":false,"usgs":true,"family":"Hoos","given":"A.B.","affiliations":[],"preferred":false,"id":446387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, S.","contributorId":102710,"corporation":false,"usgs":true,"family":"Terziotti","given":"S.","email":"","affiliations":[],"preferred":false,"id":446389,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034455,"text":"70034455 - 2011 - Expansion rate and geometry of floating vegetation mats on the margins of thermokarst lakes, northern Seward Peninsula, Alaska, USA","interactions":[],"lastModifiedDate":"2021-04-20T16:04:25.430649","indexId":"70034455","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Expansion rate and geometry of floating vegetation mats on the margins of thermokarst lakes, northern Seward Peninsula, Alaska, USA","docAbstract":"

Investigations on the northern Seward Peninsula in Alaska identified zones of recent (<50 years) permafrost collapse that led to the formation of floating vegetation mats along thermokarst lake margins. The occurrence of floating vegetation mat features indicates rapid degradation of near‐surface permafrost and lake expansion. This paper reports on the recent expansion of these collapse features and their geometry is determined using geophysical and remote sensing measurements. The vegetation mats were observed to have an average thickness of 0.57 m and petrophysical modeling indicated that gas content of 1.5–5% enabled floatation above the lake surface. Furthermore, geophysical investigation provides evidence that the mats form by thaw and subsidence of the underlying permafrost rather than terrestrialization. The temperature of the water below a vegetation mat was observed to remain above freezing late in the winter. Analysis of satellite and aerial imagery indicates that these features have expanded at maximum rates of 1–2 m yr‐1 over a 56 year period. Including the spatial coverage of floating ‘thermokarst mats’ increases estimates of lake area by as much as 4% in some lakes.

","language":"English","publisher":"Wiley","doi":"10.1002/esp.2210","issn":"01979337","usgsCitation":"Parsekian, A., Jones, B.M., Jones, M., Grosse, G., Walter, A.K., and Slater, L., 2011, Expansion rate and geometry of floating vegetation mats on the margins of thermokarst lakes, northern Seward Peninsula, Alaska, USA: Earth Surface Processes and Landforms, v. 36, no. 14, p. 1889-1897, https://doi.org/10.1002/esp.2210.","productDescription":"9 p.","startPage":"1889","endPage":"1897","costCenters":[],"links":[{"id":244826,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216924,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/esp.2210"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -169.013671875,\n 64.09140752262307\n ],\n [\n -158.79638671875,\n 64.09140752262307\n ],\n [\n -158.79638671875,\n 67.20403234340081\n ],\n [\n -169.013671875,\n 67.20403234340081\n ],\n [\n -169.013671875,\n 64.09140752262307\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"14","noUsgsAuthors":false,"publicationDate":"2011-08-16","publicationStatus":"PW","scienceBaseUri":"505a0db7e4b0c8380cd5316b","contributors":{"authors":[{"text":"Parsekian, A.D.","contributorId":60048,"corporation":false,"usgs":true,"family":"Parsekian","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":445876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":445874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, M.","contributorId":32297,"corporation":false,"usgs":true,"family":"Jones","given":"M.","affiliations":[],"preferred":false,"id":445873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":445877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walter, Anthony K.M.","contributorId":49633,"corporation":false,"usgs":true,"family":"Walter","given":"Anthony","email":"","middleInitial":"K.M.","affiliations":[],"preferred":false,"id":445875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slater, L.","contributorId":99267,"corporation":false,"usgs":true,"family":"Slater","given":"L.","email":"","affiliations":[],"preferred":false,"id":445878,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70033939,"text":"70033939 - 2011 - Development of a depth-integrated sample arm to reduce solids stratification bias in stormwater sampling","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033939","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3711,"text":"Water Environment Research","active":true,"publicationSubtype":{"id":10}},"title":"Development of a depth-integrated sample arm to reduce solids stratification bias in stormwater sampling","docAbstract":"A new depth-integrated sample arm (DISA) was developed to improve the representation of solids in stormwater, both organic and inorganic, by collecting a water quality sample from multiple points in the water column. Data from this study demonstrate the idea of vertical stratification of solids in storm sewer runoff. Concentrations of suspended sediment in runoff were statistically greater using a fixed rather than multipoint collection system. Median suspended sediment concentrations measured at the fixed location (near the pipe invert) were approximately double those collected using the DISA. In general, concentrations and size distributions of suspended sediment decreased with increasing vertical distance from the storm sewer invert. Coarser particles tended to dominate the distribution of solids near the storm sewer invert as discharge increased. In contrast to concentration and particle size, organic material, to some extent, was distributed homogenously throughout the water column, likely the result of its low specific density, which allows for thorough mixing in less turbulent water. ?? 2010 Publishing Technology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Environment Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2175/106143010X12851009156006","issn":"10614303","usgsCitation":"Selbig, W., and Bannerman, R., 2011, Development of a depth-integrated sample arm to reduce solids stratification bias in stormwater sampling: Water Environment Research, v. 83, no. 4, p. 347-357, https://doi.org/10.2175/106143010X12851009156006.","startPage":"347","endPage":"357","numberOfPages":"11","costCenters":[],"links":[{"id":214448,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2175/106143010X12851009156006"},{"id":242176,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0038e4b0c8380cd4f64a","contributors":{"authors":[{"text":"Selbig, W.R.","contributorId":102106,"corporation":false,"usgs":true,"family":"Selbig","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":443295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bannerman, R.T.","contributorId":92304,"corporation":false,"usgs":false,"family":"Bannerman","given":"R.T.","email":"","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":443294,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034454,"text":"70034454 - 2011 - Nearshore Tsunami Inundation Model Validation: Toward Sediment Transport Applications","interactions":[],"lastModifiedDate":"2013-03-04T14:26:55","indexId":"70034454","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore Tsunami Inundation Model Validation: Toward Sediment Transport Applications","docAbstract":"Model predictions from a numerical model, Delft3D, based on the nonlinear shallow water equations are compared with analytical results and laboratory observations from seven tsunami-like benchmark experiments, and with field observations from the 26 December 2004 Indian Ocean tsunami. The model accurately predicts the magnitude and timing of the measured water levels and flow velocities, as well as the magnitude of the maximum inundation distance and run-up, for both breaking and non-breaking waves. The shock-capturing numerical scheme employed describes well the total decrease in wave height due to breaking, but does not reproduce the observed shoaling near the break point. The maximum water levels observed onshore near Kuala Meurisi, Sumatra, following the 26 December 2004 tsunami are well predicted given the uncertainty in the model setup. The good agreement between the model predictions and the analytical results and observations demonstrates that the numerical solution and wetting and drying methods employed are appropriate for modeling tsunami inundation for breaking and non-breaking long waves. Extension of the model to include sediment transport may be appropriate for long, non-breaking tsunami waves. Using available sediment transport formulations, the sediment deposit thickness at Kuala Meurisi is predicted generally within a factor of 2.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pure and Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00024-011-0291-5","issn":"00334553","usgsCitation":"Apotsos, A., Buckley, M., Gelfenbaum, G., Jaffe, B., and Vatvani, D., 2011, Nearshore Tsunami Inundation Model Validation: Toward Sediment Transport Applications: Pure and Applied Geophysics, v. 168, no. 11, p. 2097-2119, https://doi.org/10.1007/s00024-011-0291-5.","productDescription":"23 p.","startPage":"2097","endPage":"2119","numberOfPages":"23","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":216923,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00024-011-0291-5"},{"id":244825,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"168","issue":"11","noUsgsAuthors":false,"publicationDate":"2011-03-04","publicationStatus":"PW","scienceBaseUri":"505a640fe4b0c8380cd72861","contributors":{"authors":[{"text":"Apotsos, Alex","contributorId":60997,"corporation":false,"usgs":true,"family":"Apotsos","given":"Alex","email":"","affiliations":[],"preferred":false,"id":445870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buckley, Mark","contributorId":6695,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","affiliations":[],"preferred":false,"id":445868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gelfenbaum, Guy","contributorId":79844,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","affiliations":[],"preferred":false,"id":445871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaffe, Bruce","contributorId":9219,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","affiliations":[],"preferred":false,"id":445869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vatvani, Deepak","contributorId":105561,"corporation":false,"usgs":true,"family":"Vatvani","given":"Deepak","email":"","affiliations":[],"preferred":false,"id":445872,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}