{"pageNumber":"703","pageRowStart":"17550","pageSize":"25","recordCount":46883,"records":[{"id":70035952,"text":"70035952 - 2011 - Monitoring a boreal wildfire using multi-temporal Radarsat-1 intensity and coherence images","interactions":[],"lastModifiedDate":"2017-04-06T13:35:01","indexId":"70035952","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1799,"text":"Geomatics, Natural Hazards and Risk","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring a boreal wildfire using multi-temporal Radarsat-1 intensity and coherence images","docAbstract":"

Twenty-five C-band Radarsat-1 synthetic aperture radar (SAR) images acquired from the summer of 2002 to the summer of 2005 are used to map a 2003 boreal wildfire (B346) in the Yukon Flats National Wildlife Refuge, Alaska under conditions of near-persistent cloud cover. Our analysis is primarily based on the 15 SAR scenes acquired during arctic growing seasons. The Radarsat-1 intensity data are used to map the onset and progression of the fire, and interferometric coherence images are used to qualify burn severity and monitor post-fire recovery. We base our analysis of the fire on three test sites, two from within the fire and one unburned site. The B346 fire increased backscattered intensity values for the two burn study sites by approximately 5–6 dB and substantially reduced coherence from background levels of approximately 0.8 in unburned background forested areas to approximately 0.2 in the burned area. Using ancillary vegetation information from the National Land Cover Database (NLCD) and information on burn severity from Normalized Burn Ratio (NBR) data, we conclude that burn site 2 was more severely burned than burn site 1 and that C-band interferometric coherence data are useful for mapping landscape changes due to fire. Differences in burn severity and topography are determined to be the likely reasons for the observed differences in post-fire intensity and coherence trends between burn sites.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19475705.2010.532971","issn":"19475705","usgsCitation":"Rykhus, R.P., and Lu, Z., 2011, Monitoring a boreal wildfire using multi-temporal Radarsat-1 intensity and coherence images: Geomatics, Natural Hazards and Risk, v. 2, no. 1, p. 15-32, https://doi.org/10.1080/19475705.2010.532971.","productDescription":"18 p.","startPage":"15","endPage":"32","numberOfPages":"18","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244157,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216294,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/19475705.2010.532971"}],"volume":"2","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-03-14","publicationStatus":"PW","scienceBaseUri":"505a5d7fe4b0c8380cd703e3","contributors":{"authors":[{"text":"Rykhus, Russell P.","contributorId":27337,"corporation":false,"usgs":true,"family":"Rykhus","given":"Russell","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":453282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":453283,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034275,"text":"70034275 - 2011 - Rainfall intensity-duration thresholds for postfire debris-flow emergency-response planning","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034275","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Rainfall intensity-duration thresholds for postfire debris-flow emergency-response planning","docAbstract":"Following wildfires, emergency-response and public-safety agencies can be faced with evacuation and resource-deployment decisions well in advance of coming winter storms and during storms themselves. Information critical to these decisions is provided for recently burned areas in the San Gabriel Mountains of southern California. A compilation of information on the hydrologic response to winter storms from recently burned areas in southern California steeplands is used to develop a system for classifying magnitudes of hydrologic response. The four-class system describes combinations of reported volumes of individual debris flows, consequences of debris flows and floods in an urban setting, and spatial extents of the hydrologic response. The range of rainfall conditions associated with different magnitude classes is defined by integrating local rainfall data with the response magnitude information. Magnitude I events can be expected when within-storm rainfall accumulations (A) of given durations (D) fall above the threshold A = 0.4D0.5 and below A = 0.5D0.6 for durations greater than 1 h. Magnitude II events will be generated in response to rainfall accumulations and durations between A = 0.4D0.5 and A = 0.9D0.5 for durations less than 1 h, and between A = 0.5D0.6 and A = 0.9D0.5 or durations greater than 1 h. Magnitude III events can be expected in response to rainfall conditions above the threshold A = 0.9D0.5. Rainfall threshold-magnitude relations are linked with potential emergency-response actions as an emergency-response decision chart, which leads a user through steps to determine potential event magnitudes and identify possible evacuation and resource-deployment levels. Use of this information in planning and response decision-making process could result in increased safety for both the public and emergency responders. ?? 2011 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Hazards","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s11069-011-9747-2","issn":"0921030X","usgsCitation":"Cannon, S., Boldt, E., Laber, J., Kean, J., and Staley, D., 2011, Rainfall intensity-duration thresholds for postfire debris-flow emergency-response planning: Natural Hazards, v. 59, no. 1, p. 209-236, https://doi.org/10.1007/s11069-011-9747-2.","startPage":"209","endPage":"236","numberOfPages":"28","costCenters":[],"links":[{"id":216554,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11069-011-9747-2"},{"id":244432,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-03-05","publicationStatus":"PW","scienceBaseUri":"505a945fe4b0c8380cd81387","contributors":{"authors":[{"text":"Cannon, S.H.","contributorId":38154,"corporation":false,"usgs":true,"family":"Cannon","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":445035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boldt, E.M.","contributorId":33552,"corporation":false,"usgs":true,"family":"Boldt","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":445034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laber, J.L.","contributorId":83350,"corporation":false,"usgs":true,"family":"Laber","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":445037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, J. W. 0000-0003-3089-0369","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":71679,"corporation":false,"usgs":true,"family":"Kean","given":"J. W.","affiliations":[],"preferred":false,"id":445036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staley, D.M.","contributorId":17851,"corporation":false,"usgs":true,"family":"Staley","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":445033,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034510,"text":"70034510 - 2011 - Short-term sandbar variability based on video imagery: Comparison between Time-Average and Time-Variance techniques","interactions":[],"lastModifiedDate":"2021-04-19T17:29:29.863775","indexId":"70034510","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Short-term sandbar variability based on video imagery: Comparison between Time-Average and Time-Variance techniques","docAbstract":"

Time–exposure intensity (averaged) images are commonly used to locate the nearshore sandbar position (xb), based on the cross-shore locations of maximum pixel intensity (xi) of the bright bands in the images. It is not known, however, how the breaking patterns seen in Variance images (i.e. those created through standard deviation of pixel intensity over time) are related to the sandbar locations. We investigated the suitability of both Time–exposure and Variance images for sandbar detection within a multiple bar system on the southern coast of Brazil, and verified the relation between wave breaking patterns, observed as bands of high intensity in these images and cross-shore profiles of modeled wave energy dissipation (xD). Not only is Time–exposure maximum pixel intensity location (xi-Ti) well related to xb, but also to the maximum pixel intensity location of Variance images (xi-Va), although the latter was typically located 15 m offshore of the former. In addition, xi-Va was observed to be better associated with xD even though xi-Ti is commonly assumed as maximum wave energy dissipation. Significant wave height (Hs) and water level (η) were observed to affect the two types of images in a similar way, with an increase in both Hs and η resulting in xi shifting offshore. This η-induced xi variability has an opposite behavior to what is described in the literature, and is likely an indirect effect of higher waves breaking farther offshore during periods of storm surges. Multiple regression models performed on xi, Hs and η allowed the reduction of the residual errors between xb and xi, yielding accurate estimates with most residuals less than 10 m. Additionally, it was found that the sandbar position was best estimated using xi-Ti (xi-Va) when xb was located shoreward (seaward) of its mean position, for both the first and the second bar. Although it is unknown whether this is an indirect hydrodynamic effect or is indeed related to the morphology, we found that this behavior can be explored to optimize sandbar estimation using video imagery, even in the absence of hydrodynamic data.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2011.09.015","issn":"00253227","usgsCitation":"Guedes, R., Calliari, L., Holland, K.T., Plant, N., Pereira, P., and Alves, F., 2011, Short-term sandbar variability based on video imagery: Comparison between Time-Average and Time-Variance techniques: Marine Geology, v. 289, no. 1-4, p. 122-134, https://doi.org/10.1016/j.margeo.2011.09.015.","productDescription":"13 p.","startPage":"122","endPage":"134","costCenters":[],"links":[{"id":243624,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215798,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2011.09.015"}],"volume":"289","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8ec6e4b08c986b318b36","contributors":{"authors":[{"text":"Guedes, R.M.C.","contributorId":87775,"corporation":false,"usgs":true,"family":"Guedes","given":"R.M.C.","email":"","affiliations":[],"preferred":false,"id":446145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calliari, L.J.","contributorId":80509,"corporation":false,"usgs":true,"family":"Calliari","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":446144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holland, K. T.","contributorId":61013,"corporation":false,"usgs":true,"family":"Holland","given":"K.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":446142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plant, N.G.","contributorId":94023,"corporation":false,"usgs":true,"family":"Plant","given":"N.G.","email":"","affiliations":[],"preferred":false,"id":446146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pereira, P.S.","contributorId":74981,"corporation":false,"usgs":true,"family":"Pereira","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":446143,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alves, F.N.A.","contributorId":59649,"corporation":false,"usgs":true,"family":"Alves","given":"F.N.A.","email":"","affiliations":[],"preferred":false,"id":446141,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034315,"text":"70034315 - 2011 - USGS remote sensing coordination for the 2010 Haiti earthquake","interactions":[],"lastModifiedDate":"2017-04-06T12:29:10","indexId":"70034315","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"USGS remote sensing coordination for the 2010 Haiti earthquake","docAbstract":"

In response to the devastating 12 January 2010, earthquake in Haiti, the US Geological Survey (USGS) provided essential coordinating services for remote sensing activities. Communication was rapidly established between the widely distributed response teams and data providers to define imaging requirements and sensor tasking opportunities. Data acquired from a variety of sources were received and archived by the USGS, and these products were subsequently distributed using the Hazards Data Distribution System (HDDS) and other mechanisms. Within six weeks after the earthquake, over 600,000 files representing 54 terabytes of data were provided to the response community. The USGS directly supported a wide variety of groups in their use of these data to characterize post-earthquake conditions and to make comparisons with pre-event imagery. The rapid and continuing response achieved was enabled by existing imaging and ground systems, and skilled personnel adept in all aspects of satellite data acquisition, processing, distribution and analysis. The information derived from image interpretation assisted senior planners and on-site teams to direct assistance where it was most needed.

","language":"English","publisher":"Ingenta","doi":"10.14358/PERS.77.9.899","issn":"00991112","usgsCitation":"Duda, K., and Jones, B., 2011, USGS remote sensing coordination for the 2010 Haiti earthquake: Photogrammetric Engineering and Remote Sensing, v. 77, no. 9, p. 899-908, https://doi.org/10.14358/PERS.77.9.899.","productDescription":"10 p.","startPage":"899","endPage":"908","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475348,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.77.9.899","text":"Publisher Index Page"},{"id":244525,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbbd7e4b08c986b32887a","contributors":{"authors":[{"text":"Duda, Kenneth A. duda@usgs.gov","contributorId":2915,"corporation":false,"usgs":true,"family":"Duda","given":"Kenneth A.","email":"duda@usgs.gov","affiliations":[],"preferred":false,"id":445209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Brenda 0000-0003-4941-5349 bkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-5349","contributorId":2994,"corporation":false,"usgs":true,"family":"Jones","given":"Brenda","email":"bkjones@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":445208,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034932,"text":"70034932 - 2011 - Enhancement of long period components of recorded and synthetic ground motions using InSAR","interactions":[],"lastModifiedDate":"2021-03-08T19:45:19.604672","indexId":"70034932","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3418,"text":"Soil Dynamics and Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Enhancement of long period components of recorded and synthetic ground motions using InSAR","docAbstract":"

Tall buildings and flexible structures require a better characterization of long period ground motion spectra than the one provided by current seismic building codes. Motivated by that, a methodology is proposed and tested to improve recorded and synthetic ground motions which are consistent with the observed co-seismic displacement field obtained from interferometric synthetic aperture radar (InSAR) analysis of image data for the Tocopilla 2007 earthquake (Mw=7.7) in Northern Chile. A methodology is proposed to correct the observed motions such that, after double integration, they are coherent with the local value of the residual displacement. Synthetic records are generated by using a stochastic finite-fault model coupled with a long period pulse to capture the long period fling effect.

It is observed that the proposed co-seismic correction yields records with more accurate long-period spectral components as compared with regular correction schemes such as acausal filtering. These signals provide an estimate for the velocity and displacement spectra, which are essential for tall-building design. Furthermore, hints are provided as to the shape of long-period spectra for seismic zones prone to large co-seismic displacements such as the Nazca-South American zone.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.soildyn.2011.01.005","issn":"02677261","usgsCitation":"Abell, J., Carlos de la Llera, J., and Wicks, C.W., 2011, Enhancement of long period components of recorded and synthetic ground motions using InSAR: Soil Dynamics and Earthquake Engineering, v. 31, no. 5-6, p. 817-829, https://doi.org/10.1016/j.soildyn.2011.01.005.","productDescription":"13 p.","startPage":"817","endPage":"829","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489010,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3298447","text":"External Repository"},{"id":243776,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215939,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.soildyn.2011.01.005"}],"country":"Chile","otherGeospatial":"Tocopilla","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.224365234375,\n -24.226928664976363\n ],\n [\n -68.631591796875,\n -24.226928664976363\n ],\n [\n -68.631591796875,\n -20.910134481692673\n ],\n [\n -71.224365234375,\n -20.910134481692673\n ],\n [\n -71.224365234375,\n -24.226928664976363\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"5-6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0973e4b0c8380cd51f0a","contributors":{"authors":[{"text":"Abell, J.A.","contributorId":30068,"corporation":false,"usgs":true,"family":"Abell","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":448384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlos de la Llera, J.","contributorId":94521,"corporation":false,"usgs":true,"family":"Carlos de la Llera","given":"J.","email":"","affiliations":[],"preferred":false,"id":448385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wicks, Charles W. Jr. 0000-0002-0809-1328 cwicks@usgs.gov","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":127701,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","suffix":"Jr.","email":"cwicks@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":448383,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034680,"text":"70034680 - 2011 - Occupancy and abundance of wintering birds in a dynamic agricultural landscape","interactions":[],"lastModifiedDate":"2021-04-13T20:08:40.437726","indexId":"70034680","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":"Occupancy and abundance of wintering birds in a dynamic agricultural landscape","docAbstract":"

Effective monitoring programs are designed to track changes in the distribution, occurrence, and abundance of species. We developed an extension of Royle and Kéry's (2007) single species model to estimate simultaneously temporal changes in probabilities of detection, occupancy, colonization, extinction, and species turnover using data on calling anuran amphibians, collected from 2002 to 2006 in the Lower Mississippi Alluvial Valley of Louisiana, USA. During our 5‐year study, estimates of occurrence probabilities declined for all 12 species detected. These declines occurred primarily in conjunction with variation in estimates of local extinction probabilities (cajun chorus frog [Pseudacris fouquettei], spring peeper [P. crucifer], northern cricket frog [Acris crepitans], Cope's gray treefrog [Hyla chrysoscelis], green treefrog [H. cinerea], squirrel treefrog [H. squirella], southern leopard frog [Lithobates sphenocephalus], bronze frog [L. clamitans], American bullfrog [L. catesbeianus], and Fowler's toad [Anaxyrus fowleri]). For 2 species (eastern narrow‐mouthed toad [Gastrophryne carolinensis] and Gulf Coast toad [Incilius nebulifer]), declines in occupancy appeared to be a consequence of both increased local extinction and decreased colonization events. The eastern narrow‐mouthed toad experienced a 2.5‐fold increase in estimates of occupancy in 2004, possibly because of the high amount of rainfall received during that year, along with a decrease in extinction and increase in colonization of new sites between 2003 and 2004. Our model can be incorporated into monitoring programs to estimate simultaneously the occupancy dynamics for multiple species that show similar responses to ecological conditions. It will likely be an important asset for those monitoring programs that employ the same methods to sample assemblages of ecologically similar species, including those that are rare. By combining information from multiple species to decrease the variance on estimates of individual species, our results are advantageous compared to single‐species models. This feature enables managers and researchers to use an entire community, rather than just one species, as an ecological indicator in monitoring programs.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.98","issn":"0022541X","usgsCitation":"Miller, M., Pearlstine, E., Dorazio, R., and Mazzotti, F., 2011, Occupancy and abundance of wintering birds in a dynamic agricultural landscape: Journal of Wildlife Management, v. 75, no. 4, p. 751-761, https://doi.org/10.1002/jwmg.98.","productDescription":"11 p.","startPage":"751","endPage":"761","costCenters":[],"links":[{"id":243760,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215924,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.97"}],"volume":"75","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"505a6b17e4b0c8380cd744f2","contributors":{"authors":[{"text":"Miller, M.W.","contributorId":57012,"corporation":false,"usgs":true,"family":"Miller","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":447017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearlstine, E.V.","contributorId":15857,"corporation":false,"usgs":true,"family":"Pearlstine","given":"E.V.","email":"","affiliations":[],"preferred":false,"id":447015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":172151,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":447016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazzotti, F.J.","contributorId":10136,"corporation":false,"usgs":true,"family":"Mazzotti","given":"F.J.","email":"","affiliations":[],"preferred":false,"id":447014,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034271,"text":"70034271 - 2011 - Peat Formation Processes Through the Millennia in Tidal Marshes of the Sacramento-San Joaquin Delta, California, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034271","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Peat Formation Processes Through the Millennia in Tidal Marshes of the Sacramento-San Joaquin Delta, California, USA","docAbstract":"The purpose of this study was to determine peat formation processes throughout the millennia in four tidal marshes in the Sacramento-San Joaquin Delta. Peat cores collected at each site were analyzed for bulk density, loss on ignition, and percent organic carbon. Core data and spline fit age-depth models were used to estimate inorganic sedimentation, organic accumulation, and carbon sequestration rates in the marshes. Bulk density and percent organic matter content of peat fluctuated through time at all sites, suggesting that peat formation processes are dynamic and responsive to watershed conditions. The balance between inorganic sedimentation and organic accumulation at the sites also varied through time, indicating that marshes may rely more strongly on either inorganic or organic matter for peat formation at particular times in their existence. Mean carbon sequestration rates found in this study (0. 38-0. 79 Mg C ha-1 year-1) were similar to other long-term estimates for temperate peatlands. ?? 2011 Coastal and Estuarine Research Federation (outside the USA).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s12237-011-9393-7","issn":"15592723","usgsCitation":"Drexler, J., 2011, Peat Formation Processes Through the Millennia in Tidal Marshes of the Sacramento-San Joaquin Delta, California, USA: Estuaries and Coasts, v. 34, no. 5, p. 900-911, https://doi.org/10.1007/s12237-011-9393-7.","startPage":"900","endPage":"911","numberOfPages":"12","costCenters":[],"links":[{"id":244877,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216972,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-011-9393-7"}],"volume":"34","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-03-24","publicationStatus":"PW","scienceBaseUri":"505a761ae4b0c8380cd77f0c","contributors":{"authors":[{"text":"Drexler, J.Z. 0000-0002-0127-3866","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":54766,"corporation":false,"usgs":true,"family":"Drexler","given":"J.Z.","affiliations":[],"preferred":false,"id":445018,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70034678,"text":"70034678 - 2011 - Potential effects of alpha-recoil on uranium-series dating of calcrete","interactions":[],"lastModifiedDate":"2013-07-26T12:53:12","indexId":"70034678","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":"Potential effects of alpha-recoil on uranium-series dating of calcrete","docAbstract":"Evaluation of paleosol ages in the vicinity of Yucca Mountain, Nevada, at the time the site of a proposed high-level nuclear waste repository, is important for fault-displacement hazard assessment. Uranium-series isotope data were obtained for surface and subsurface calcrete samples from trenches and boreholes in Midway Valley, Nevada, adjacent to Yucca Mountain. 230Th/U ages of 33 surface samples range from 1.3 to 423 thousand years (ka) and the back-calculated 234U/238U initial activity ratios (AR) are relatively constant with a mean value of 1.54 ± 0.15 (1σ), which is consistent with the closed-system behavior. Subsurface calcrete samples are too old to be dated by the 230Th/U method. U-Pb data for post-pedogenic botryoidal opal from a subsurface calcrete sample show that these subsurface calcrete samples are older than ~ 1.65 million years (Ma), old enough to have attained secular equilibrium had their U-Th systems remained closed. However, subsurface calcrete samples show U-series disequilibrium indicating open-system behavior of 238U daughter isotopes, in contrast with the surface calcrete, where open-system behavior is not evident. Data for 21 subsurface calcrete samples yielded calculable 234U/238U model ages ranging from 130 to 1875 ka (assuming an initial AR of 1.54 ± 0.15, the mean value calculated for the surface calcrete samples). A simple model describing continuous α-recoil loss predicts that the 234U/238U and 230Th/238U ARs reach steady-state values ~ 2 Ma after calcrete formation. Potential effects of open-system behavior on 230Th/U ages and initial 234U/238U ARs for younger surface calcrete were estimated using data for old subsurface calcrete samples with the 234U loss and assuming that the total time of water-rock interaction is the only difference between these soils. The difference between the conventional closed-system and open-system ages may exceed errors of the calculated conventional ages for samples older than ~ 250 ka, but is negligible for younger soils.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.01.013","issn":"00092541","usgsCitation":"Neymark, L., 2011, Potential effects of alpha-recoil on uranium-series dating of calcrete: Chemical Geology, v. 282, no. 3-4, p. 98-112, https://doi.org/10.1016/j.chemgeo.2011.01.013.","productDescription":"15 p.","startPage":"98","endPage":"112","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":215895,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.01.013"},{"id":243730,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"282","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7ec9e4b0c8380cd7a74d","contributors":{"authors":[{"text":"Neymark, L.A. 0000-0003-4190-0278","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":56673,"corporation":false,"usgs":true,"family":"Neymark","given":"L.A.","affiliations":[],"preferred":false,"id":447009,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70034994,"text":"70034994 - 2011 - Transient changes in shallow groundwater chemistry during the MSU ZERT CO2 injection experiment","interactions":[],"lastModifiedDate":"2021-03-08T17:38:55.752959","indexId":"70034994","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Transient changes in shallow groundwater chemistry during the MSU ZERT CO2 injection experiment","docAbstract":"

Food-grade CO2 was injected into a shallow aquifer through a perforated pipe placed horizontally 1–2 m below the water table at the Montana State University Zero Emission Research and Technology (MSU-ZERT) field site at Bozeman, Montana. The possible impact of elevated CO2 levels on groundwater quality was investigated by analyzing 80 water samples taken before, during, and following CO2 injection. Field determinations and laboratory analyses showed rapid and systematic changes in pH, alkalinity, and conductance, as well as increases in the aqueous concentrations of trace element species. The geochemical data were first evaluated using principal component analysis (PCA) in order to identify correlations between aqueous species. The PCA findings were then used in formulating a geochemical model to simulate the processes likely to be responsible for the observed increases in the concentrations of dissolved constituents. Modeling was conducted taking into account aqueous and surface complexation, cation exchange, and mineral precipitation and dissolution. Reasonable matches between measured data and model results suggest that: (1) CO2 dissolution in the groundwater causes calcite to dissolve. (2) Observed increases in the concentration of dissolved trace metals result likely from Ca+2-driven ion exchange with clays (smectites) and sorption/desorption reactions likely involving Fe (hydr)oxides. (3) Bicarbonate from CO2 dissolution appears to compete for sorption with anionic species such as HAsO4−2, potentially increasing dissolved As levels in groundwater.

","largerWorkTitle":"Energy Procedia","conferenceTitle":"10th International Conference on Greenhouse Gas Control Technologies","conferenceDate":"September 19-23, 2010","conferenceLocation":"Amsterdam","language":"English","publisher":"Elsevier","doi":"10.1016/j.egypro.2011.02.241","issn":"18766102","usgsCitation":"Apps, J.A., Zheng, L., Spycher, N., Birkholzer, J., Kharaka, Y.K., Thordsen, J., Kakouros, E., and Trautz, R., 2011, Transient changes in shallow groundwater chemistry during the MSU ZERT CO2 injection experiment, in Energy Procedia, v. 4, Amsterdam, September 19-23, 2010, p. 3231-3238, https://doi.org/10.1016/j.egypro.2011.02.241.","productDescription":"8 p.","startPage":"3231","endPage":"3238","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":475072,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.egypro.2011.02.241","text":"Publisher Index Page"},{"id":243343,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215532,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.egypro.2011.02.241"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb6f9e4b08c986b326f98","contributors":{"authors":[{"text":"Apps, J. A.","contributorId":60386,"corporation":false,"usgs":false,"family":"Apps","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":448749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zheng, Lingyun","contributorId":68495,"corporation":false,"usgs":true,"family":"Zheng","given":"Lingyun","email":"","affiliations":[],"preferred":false,"id":448751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spycher, N.","contributorId":54424,"corporation":false,"usgs":true,"family":"Spycher","given":"N.","email":"","affiliations":[],"preferred":false,"id":448748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birkholzer, J.T.","contributorId":18596,"corporation":false,"usgs":true,"family":"Birkholzer","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":448746,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":448750,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thordsen, James J. jthordsn@usgs.gov","contributorId":3329,"corporation":false,"usgs":true,"family":"Thordsen","given":"James J.","email":"jthordsn@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":448753,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":448747,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Trautz, R.","contributorId":95290,"corporation":false,"usgs":true,"family":"Trautz","given":"R.","affiliations":[],"preferred":false,"id":448752,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70034098,"text":"70034098 - 2011 - Hierarchical modeling of an invasive spread: The eurasian collared-dove streptopelia decaocto in the United States","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034098","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical modeling of an invasive spread: The eurasian collared-dove streptopelia decaocto in the United States","docAbstract":"Invasive species are regularly claimed as the second threat to biodiversity. To apply a relevant response to the potential consequences associated with invasions (e.g., emphasize management efforts to prevent new colonization or to eradicate the species in places where it has already settled), it is essential to understand invasion mechanisms and dynamics. Quantifying and understanding what influences rates of spatial spread is a key research area for invasion theory. In this paper, we develop a model to account for occupancy dynamics of an invasive species. Our model extends existing models to accommodate several elements of invasive processes; we chose the framework of hierarchical modeling to assess site occupancy status during an invasion. First, we explicitly accounted for spatial structure and how distance among sites and position relative to one another affect the invasion spread. In particular, we accounted for the possibility of directional propagation and provided a way of estimating the direction of this possible spread. Second, we considered the influence of local density on site occupancy. Third, we decided to split the colonization process into two subprocesses, initial colonization and recolonization, which may be ground-breaking because these subprocesses may exhibit different relationships with environmental variations (such as density variation) or colonization history (e.g., initial colonization might facilitate further colonization events). Finally, our model incorporates imperfection in detection, which might be a source of substantial bias in estimating population parameters. We focused on the case of the Eurasian Collared-Dove (Streptopelia decaocto) and its invasion of the United States since its introduction in the early 1980s, using data from the North American BBS (Breeding Bird Survey). The Eurasian Collared-Dove is one of the most successful invasive species, at least among terrestrial vertebrates. Our model provided estimation of the spread direction consistent with empirical observations. Site persistence probability exhibits a quadratic response to density. We also succeeded at detecting differences in the relationship between density and initial colonization vs. recolonization probabilities. We provide a map of sites that may be colonized in the future as an example of possible practical application of our work. ?? 2011 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/09-1877.1","issn":"10510761","usgsCitation":"Bled, F., Royle, J., and Cam, E., 2011, Hierarchical modeling of an invasive spread: The eurasian collared-dove streptopelia decaocto in the United States: Ecological Applications, v. 21, no. 1, p. 290-302, https://doi.org/10.1890/09-1877.1.","startPage":"290","endPage":"302","numberOfPages":"13","costCenters":[],"links":[{"id":216840,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/09-1877.1"},{"id":244736,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a309ce4b0c8380cd5d7bc","contributors":{"authors":[{"text":"Bled, F.","contributorId":41676,"corporation":false,"usgs":true,"family":"Bled","given":"F.","affiliations":[],"preferred":false,"id":444067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":96221,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[],"preferred":false,"id":444068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cam, E.","contributorId":12952,"corporation":false,"usgs":true,"family":"Cam","given":"E.","affiliations":[],"preferred":false,"id":444066,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034084,"text":"70034084 - 2011 - Implementing telemetry on new species in remote areas: Recommendations from a large-scale satellite tracking study of African waterfowl","interactions":[],"lastModifiedDate":"2017-08-26T16:27:13","indexId":"70034084","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2970,"text":"Ostrich","active":true,"publicationSubtype":{"id":10}},"title":"Implementing telemetry on new species in remote areas: Recommendations from a large-scale satellite tracking study of African waterfowl","docAbstract":"We provide recommendations for implementing telemetry studies on waterfowl on the basis of our experience in a tracking study conducted in three countries of sub-Saharan Africa. The aim of the study was to document movements by duck species identified as priority candidates for the potential spread of avian influenza. Our study design included both captive and field test components on four wild duck species (Garganey, Comb Duck, White-faced Duck and Fulvous Duck). We used our location data to evaluate marking success and determine when signal loss occurred. The captive study of eight ducks marked with non-working transmitters in a zoo in Montpellier, France, prior to fieldwork showed no evidence of adverse effects, and the harness design appeared to work well. The field study in Malawi, Nigeria and Mali started in 2007 on 2 February, 6 February and 14 February, and ended on 22 November 2007 (288 d), 20 January 2010 (1 079 d), and 3 November 2008 (628 d), respectively. The field study indicated that 38 of 47 (81%) of the platform transmitter terminals (PTTs) kept transmitting after initial deployment, and the transmitters provided 15 576 locations. Signal loss during the field study was attributed to three main causes: PTT loss, PTT failure and mortality (natural, human-caused and PTT-related). The PTT signal quality varied by geographic region, and interference caused signal loss in the Mediterranean Sea region. We recommend careful attention at the beginning of the study to determine the optimum timing of transmitter deployment and the number of transmitters to be deployed per species. These sample sizes should be calculated by taking into account region-specific causes of signal loss to ensure research objectives are met. These recommendations should be useful for researchers undertaking a satellite tracking program, especially when working in remote areas of Africa where logistics are difficult or with poorly-known species. ?? NISC (Pty) Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ostrich","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2989/00306525.2011.556786","issn":"00306525","usgsCitation":"Cappelle, J., Iverson, S.A., Takekawa, J.Y., Newman, S.H., Dodman, T., and Gaidet, N., 2011, Implementing telemetry on new species in remote areas: Recommendations from a large-scale satellite tracking study of African waterfowl: Ostrich, v. 82, no. 1, p. 17-26, https://doi.org/10.2989/00306525.2011.556786.","startPage":"17","endPage":"26","numberOfPages":"10","costCenters":[],"links":[{"id":244511,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216630,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2989/00306525.2011.556786"}],"volume":"82","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-03-16","publicationStatus":"PW","scienceBaseUri":"505a3914e4b0c8380cd617c4","contributors":{"authors":[{"text":"Cappelle, J.","contributorId":56774,"corporation":false,"usgs":true,"family":"Cappelle","given":"J.","email":"","affiliations":[],"preferred":false,"id":443997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, S. A.","contributorId":22556,"corporation":false,"usgs":true,"family":"Iverson","given":"S.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":443996,"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":444000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, S. H.","contributorId":21888,"corporation":false,"usgs":false,"family":"Newman","given":"S.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":443995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dodman, T.","contributorId":59543,"corporation":false,"usgs":true,"family":"Dodman","given":"T.","affiliations":[],"preferred":false,"id":443998,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaidet, N.","contributorId":60359,"corporation":false,"usgs":true,"family":"Gaidet","given":"N.","affiliations":[],"preferred":false,"id":443999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70035753,"text":"70035753 - 2011 - Volcanic plume height measured by seismic waves based on a mechanical model","interactions":[],"lastModifiedDate":"2013-03-14T11:06:38","indexId":"70035753","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":"Volcanic plume height measured by seismic waves based on a mechanical model","docAbstract":"In August 2008 an unmonitored, largely unstudied Aleutian volcano, Kasatochi, erupted catastrophically. Here we use seismic data to infer the height of large eruptive columns such as those of Kasatochi based on a combination of existing fluid and solid mechanical models. In so doing, we propose a connection between a common, observable, short-period seismic wave amplitude to the physics of an eruptive column. To construct a combined model, we estimate the mass ejection rate of material from the vent on the basis of the plume height, assuming that the height is controlled by thermal buoyancy for a continuous plume. Using the estimated mass ejection rate, we then derive the equivalent vertical force on the Earth through a momentum balance. Finally, we calculate the far-field surface waves resulting from the vertical force. The model performs well for recent eruptions of Kasatochi and Augustine volcanoes if v, the velocity of material exiting the vent, is 120-230 m s-1. The consistency between the seismically inferred and measured plume heights indicates that in these cases the far-field ~1 s seismic energy radiated by fluctuating flow in the volcanic jet during the eruption is a useful indicator of overall mass ejection rates. Thus, use of the model holds promise for characterizing eruptions and evaluating ash hazards to aircraft in real time on the basis of far-field short-period seismic data. This study emphasizes the need for better measurements of eruptive plume heights and a more detailed understanding of the full spectrum of seismic energy radiated coeruptively.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010JB007620","isbn":"01480227","usgsCitation":"Prejean, S.G., and Brodsky, E.E., 2011, Volcanic plume height measured by seismic waves based on a mechanical model: Journal of Geophysical Research B: Solid Earth, v. 116, no. B1, https://doi.org/10.1029/2010JB007620.","productDescription":"13 p.","startPage":"B01306","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"links":[{"id":475203,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jb007620","text":"Publisher Index Page"},{"id":216077,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JB007620"},{"id":243919,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"B1","noUsgsAuthors":false,"publicationDate":"2011-01-26","publicationStatus":"PW","scienceBaseUri":"505bc2fee4b08c986b32aec8","contributors":{"authors":[{"text":"Prejean, Stephanie G. sprejean@usgs.gov","contributorId":2602,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","email":"sprejean@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":452195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brodsky, Emily E.","contributorId":29660,"corporation":false,"usgs":true,"family":"Brodsky","given":"Emily","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":452196,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036764,"text":"70036764 - 2011 - Goldschmidt crater and the Moon's north polar region: Results from the Moon Mineralogy Mapper (M3)","interactions":[],"lastModifiedDate":"2017-06-30T09:52:16","indexId":"70036764","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Goldschmidt crater and the Moon's north polar region: Results from the Moon Mineralogy Mapper (M3)","title":"Goldschmidt crater and the Moon's north polar region: Results from the Moon Mineralogy Mapper (M3)","docAbstract":"

Soils within the impact crater Goldschmidt have been identified as spectrally distinct from the local highland material. High spatial and spectral resolution data from the Moon Mineralogy Mapper (M3) on the Chandrayaan-1 orbiter are used to examine the character of Goldschmidt crater in detail. Spectral parameters applied to a north polar mosaic of M3 data are used to discern large-scale compositional trends at the northern high latitudes, and spectra from three widely separated regions are compared to spectra from Goldschmidt. The results highlight the compositional diversity of the lunar nearside, in particular, where feldspathic soils with a low-Ca pyroxene component are pervasive, but exclusively feldspathic regions and small areas of basaltic composition are also observed. Additionally, we find that the relative strengths of the diagnostic OH/H2O absorption feature near 3000 nm are correlated with the mineralogy of the host material. On both global and local scales, the strongest hydrous absorptions occur on the more feldspathic surfaces. Thus, M3 data suggest that while the feldspathic soils within Goldschmidt crater are enhanced in OH/H2O compared to the relatively mafic nearside polar highlands, their hydration signatures are similar to those observed in the feldspathic highlands on the farside.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010JE003702","issn":"01480227","usgsCitation":"Cheek, L., Pieters, C., Boardman, J., Clark, R.N., Combe, J.#., Head, J., Isaacson, P., McCord, T.B., Moriarty, D., Nettles, J., Petro, N., Sunshine, J., and Taylor, L., 2011, Goldschmidt crater and the Moon's north polar region: Results from the Moon Mineralogy Mapper (M3): Journal of Geophysical Research E: Planets, v. 116, no. 2, https://doi.org/10.1029/2010JE003702.","ipdsId":"IP-024464","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":475407,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003702","text":"Publisher Index Page"},{"id":217510,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JE003702"},{"id":245461,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-04","publicationStatus":"PW","scienceBaseUri":"505a29a7e4b0c8380cd5ab0e","contributors":{"authors":[{"text":"Cheek, L.C.","contributorId":45934,"corporation":false,"usgs":true,"family":"Cheek","given":"L.C.","email":"","affiliations":[],"preferred":false,"id":457712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pieters, C.M.","contributorId":48733,"corporation":false,"usgs":true,"family":"Pieters","given":"C.M.","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":457713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boardman, J.W.","contributorId":106301,"corporation":false,"usgs":true,"family":"Boardman","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":457719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":457707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Combe, J. #NAME?","contributorId":37982,"corporation":false,"usgs":false,"family":"Combe","given":"J.","email":"","middleInitial":"#NAME?","affiliations":[],"preferred":false,"id":457711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Head, J.W.","contributorId":67982,"corporation":false,"usgs":true,"family":"Head","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":457715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Isaacson, P.J.","contributorId":63236,"corporation":false,"usgs":true,"family":"Isaacson","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":457714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCord, T. B.","contributorId":69695,"corporation":false,"usgs":false,"family":"McCord","given":"T.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":457716,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moriarty, D.","contributorId":82953,"corporation":false,"usgs":true,"family":"Moriarty","given":"D.","email":"","affiliations":[],"preferred":false,"id":457718,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nettles, J.W.","contributorId":26165,"corporation":false,"usgs":true,"family":"Nettles","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":457710,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Petro, N.E.","contributorId":18999,"corporation":false,"usgs":true,"family":"Petro","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":457709,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sunshine, J.M.","contributorId":74591,"corporation":false,"usgs":true,"family":"Sunshine","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":457717,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Taylor, L.A.","contributorId":14160,"corporation":false,"usgs":true,"family":"Taylor","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":457708,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70034114,"text":"70034114 - 2011 - Age, genesis, and paleoclimatic interpretation of the Sangamon/Loveland complex in the Lower Mississippi Valley, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034114","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Age, genesis, and paleoclimatic interpretation of the Sangamon/Loveland complex in the Lower Mississippi Valley, USA","docAbstract":"For more than a century, the Sangamon paleosol (the Sangamon) has been an integral part of geologic and pedologic investigations in the central United States, including the Upper Mississippi and Lower Missouri River Valleys. Compositional, pedologic, micromorphologic, stratigraphic, and age data indicate that the prominent reddish paleosol developed in silt-rich deposits of the Lower Mississippi Valley, from southernmost Illinois to northwestern Mississippi, represents multiple periods of soil formation, and is wholly or in part time equivalent to the Sangamon of the central United States. Thermoluminescence data, for localities where the Sangamon developed in loess, indicate that the primary period of loess deposition was from 190 to 130 ka (oxygen isotope stage, OIS6), that loess deposition continued intermittently from 130 to 74 ka (OIS5), and that deposition was wholly or in part coeval with Loveland loess deposition in the central United States. Beryllium-10, chemical, and pedologic data indicate that in the Lower Mississippi Valley: (1) the Sangamon represents a minimum time period of 60-80 k.y.; (2) there were at least two periods of soil formation, ca. 130-90 ka and 74-58 ka (OIS4); and (3) rates of weathering and pedogenesis equaled or exceeded the net loess-accumulation rate until at least 46 ka (OIS3) and resulted in development of a paleosol in the overlying basal Roxana Silt. Along a N-S transect from southern Illinois to western Mississippi, Sangamon macroscopic characteristics as well asthe micro-morphology, chemistry, and mineralogy, suggest a regional paleoclimate during periods of soil formation that: (1) was warm to hot, with a wider range in temperature, precipitation, and evapotranspiration than present; (2) had seasonal to decadal or longer periods of drought; and (3) had down-valley (southward) trends of increasing temperature and precipitation and decreasing seasonality and variation in annualto decadal precipitation. ?? 2011 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society of America Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/B30208.1","issn":"00167606","usgsCitation":"Markewich, H.W., Wysocki, D., Pavich, M., and Rutledge, E., 2011, Age, genesis, and paleoclimatic interpretation of the Sangamon/Loveland complex in the Lower Mississippi Valley, USA: Geological Society of America Bulletin, v. 123, no. 1-2, p. 21-39, https://doi.org/10.1130/B30208.1.","startPage":"21","endPage":"39","numberOfPages":"19","costCenters":[],"links":[{"id":216603,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B30208.1"},{"id":244483,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2010-10-08","publicationStatus":"PW","scienceBaseUri":"5059e8f5e4b0c8380cd47fec","contributors":{"authors":[{"text":"Markewich, H. W.","contributorId":31426,"corporation":false,"usgs":true,"family":"Markewich","given":"H.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":444166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wysocki, D.A.","contributorId":11678,"corporation":false,"usgs":true,"family":"Wysocki","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":444165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pavich, M.J.","contributorId":70788,"corporation":false,"usgs":true,"family":"Pavich","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":444168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rutledge, E.M.","contributorId":47819,"corporation":false,"usgs":true,"family":"Rutledge","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":444167,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034164,"text":"70034164 - 2011 - Abundance, stock origin, and length of marked and unmarked juvenile Chinook salmon in the surface waters of greater Puget Sound","interactions":[],"lastModifiedDate":"2020-09-11T15:28:29.780202","indexId":"70034164","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Abundance, stock origin, and length of marked and unmarked juvenile Chinook salmon in the surface waters of greater Puget Sound","docAbstract":"

This study focuses on the use by juvenile Chinook salmon Oncorhynchus tshawytscha of the rarely studied neritic environment (surface waters overlaying the sublittoral zone) in greater Puget Sound. Juvenile Chinook salmon inhabit the sound from their late estuarine residence and early marine transition to their first year at sea. We measured the density, origin, and size of marked (known hatchery) and unmarked (majority naturally spawned) juveniles by means of monthly surface trawls at six river mouth estuaries in Puget Sound and the areas in between. Juvenile Chinook salmon were present in all months sampled (April–November). Unmarked fish in the northern portion of the study area showed broader seasonal distributions of density than did either marked fish in all areas or unmarked fish in the central and southern portions of the sound. Despite these temporal differences, the densities of marked fish appeared to drive most of the total density estimates across space and time. Genetic analysis and coded wire tag data provided us with documented individuals from at least 16 source populations and indicated that movement patterns and apparent residence time were, in part, a function of natal location and time passed since the release of these fish from hatcheries. Unmarked fish tended to be smaller than marked fish and had broader length frequency distributions. The lengths of unmarked fish were negatively related to the density of both marked and unmarked Chinook salmon, but those of marked fish were not. These results indicate more extensive use of estuarine environments by wild than by hatchery juvenile Chinook salmon as well as differential use (e.g., rearing and migration) of various geographic regions of greater Puget Sound by juvenile Chinook salmon in general. In addition, the results for hatchery‐generated timing, density, and length differences have implications for the biological interactions between hatchery and wild fish throughout Puget Sound.

","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2010.550253","usgsCitation":"Rice, C.A., Greene, C., Moran, P., Teel, D., Kuligowski, D., Reisenbichler, R.R., Beamer, E., Karr, J., and Fresh, K., 2011, Abundance, stock origin, and length of marked and unmarked juvenile Chinook salmon in the surface waters of greater Puget Sound: Transactions of the American Fisheries Society, v. 140, no. 1, p. 170-189, https://doi.org/10.1080/00028487.2010.550253.","startPage":"170","endPage":"189","numberOfPages":"20","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":244772,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378341,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://afspubs.onlinelibrary.wiley.com/doi/10.1080/00028487.2010.550253"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.17321777343749,\n 46.99524110694593\n ],\n [\n -122.1514892578125,\n 46.99524110694593\n ],\n [\n -122.1514892578125,\n 48.93693495409401\n ],\n [\n -123.17321777343749,\n 48.93693495409401\n ],\n [\n -123.17321777343749,\n 46.99524110694593\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"140","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-03-07","publicationStatus":"PW","scienceBaseUri":"5059e660e4b0c8380cd47399","contributors":{"authors":[{"text":"Rice, C. A.","contributorId":106116,"corporation":false,"usgs":true,"family":"Rice","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":444390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greene, C.M.","contributorId":50012,"corporation":false,"usgs":true,"family":"Greene","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":444383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, P.","contributorId":34746,"corporation":false,"usgs":true,"family":"Moran","given":"P.","email":"","affiliations":[],"preferred":false,"id":444382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Teel, D.J.","contributorId":71800,"corporation":false,"usgs":true,"family":"Teel","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":444385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuligowski, D.R.","contributorId":82950,"corporation":false,"usgs":true,"family":"Kuligowski","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":444388,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reisenbichler, Reginald R.","contributorId":20623,"corporation":false,"usgs":true,"family":"Reisenbichler","given":"Reginald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":444387,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beamer, E.M.","contributorId":55241,"corporation":false,"usgs":true,"family":"Beamer","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":444384,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karr, J.R.","contributorId":74091,"corporation":false,"usgs":true,"family":"Karr","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":444386,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fresh, K.L.","contributorId":105916,"corporation":false,"usgs":true,"family":"Fresh","given":"K.L.","affiliations":[],"preferred":false,"id":444389,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70035868,"text":"70035868 - 2011 - Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Overview of scientific and technical program","interactions":[],"lastModifiedDate":"2021-02-08T21:35:59.592744","indexId":"70035868","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Overview of scientific and technical program","docAbstract":"

The Mount Elbert Gas Hydrate Stratigraphic Test Well was drilled within the Alaska North Slope (ANS) Milne Point Unit (MPU) from February 3 to 19, 2007. The well was conducted as part of a Cooperative Research Agreement (CRA) project co-sponsored since 2001 by BP Exploration (Alaska), Inc. (BPXA) and the U.S. Department of Energy (DOE) in collaboration with the U.S. Geological Survey (USGS) to help determine whether ANS gas hydrate can become a technically and commercially viable gas resource. Early in the effort, regional reservoir characterization and reservoir simulation modeling studies indicated that up to 0.34 trillion cubic meters (tcm; 12 trillion cubic feet, tcf) gas may be technically recoverable from 0.92 tcm (33 tcf) gas-in-place within the Eileen gas hydrate accumulation near industry infrastructure within ANS MPU, Prudhoe Bay Unit (PBU), and Kuparuk River Unit (KRU) areas. To further constrain these estimates and to enable the selection of a test site for further data acquisition, the USGS reprocessed and interpreted MPU 3D seismic data provided by BPXA to delineate 14 prospects containing significant highly-saturated gas hydrate-bearing sand reservoirs. The “Mount Elbert” site was selected to drill a stratigraphic test well to acquire a full suite of wireline log, core, and formation pressure test data. Drilling results and data interpretation confirmed pre-drill predictions and thus increased confidence in both the prospect interpretation methods and in the wider ANS gas hydrate resource estimates. The interpreted data from the Mount Elbert well provide insight into and reduce uncertainty of key gas hydrate-bearing reservoir properties, enable further refinement and validation of the numerical simulation of the production potential of both MPU and broader ANS gas hydrate resources, and help determine viability of potential field sites for future extended term production testing. Drilling and data acquisition operations demonstrated that gas hydrate scientific research programs can be safely, effectively, and efficiently conducted within ANS infrastructure. The program success resulted in a technical team recommendation to project management to drill and complete a long-term production test within the area of existing ANS infrastructure. If approved by stakeholders, this long-term test would build on prior arctic research efforts to better constrain the potential gas rates and volumes that could be produced from gas hydrate-bearing sand reservoirs.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2010.02.015","issn":"02648172","usgsCitation":"Hunter, R., Collett, T.S., Boswell, R., Anderson, B., Digert, S., Pospisil, G., Baker, R., and Weeks, M., 2011, Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Overview of scientific and technical program: Marine and Petroleum Geology, v. 28, no. 2, p. 295-310, https://doi.org/10.1016/j.marpetgeo.2010.02.015.","productDescription":"16 p.","startPage":"295","endPage":"310","costCenters":[],"links":[{"id":244248,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216384,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2010.02.015"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -167.6953125,\n 67.47492238478702\n ],\n [\n -140.888671875,\n 67.47492238478702\n ],\n [\n -140.888671875,\n 71.52490903732816\n ],\n [\n -167.6953125,\n 71.52490903732816\n ],\n [\n -167.6953125,\n 67.47492238478702\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5e91e4b0c8380cd70b20","contributors":{"authors":[{"text":"Hunter, R.B.","contributorId":29538,"corporation":false,"usgs":true,"family":"Hunter","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":452821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":452827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boswell, R.","contributorId":35121,"corporation":false,"usgs":true,"family":"Boswell","given":"R.","affiliations":[],"preferred":false,"id":452822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, B.J.","contributorId":70914,"corporation":false,"usgs":true,"family":"Anderson","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":452825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Digert, S.A.","contributorId":60047,"corporation":false,"usgs":true,"family":"Digert","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":452823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pospisil, G.","contributorId":77767,"corporation":false,"usgs":true,"family":"Pospisil","given":"G.","email":"","affiliations":[],"preferred":false,"id":452826,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baker, R.","contributorId":11542,"corporation":false,"usgs":true,"family":"Baker","given":"R.","affiliations":[],"preferred":false,"id":452820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weeks, M.","contributorId":62432,"corporation":false,"usgs":true,"family":"Weeks","given":"M.","email":"","affiliations":[],"preferred":false,"id":452824,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70034168,"text":"70034168 - 2011 - Users as essential contributors to spatial cyberinfrastructures","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034168","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Users as essential contributors to spatial cyberinfrastructures","docAbstract":"Current accounts of spatial cyberinfrastructure development tend to overemphasize technologies to the neglect of critical social and cultural issues on which adoption depends. Spatial cyberinfrastructures will have a higher chance of success if users of many types, including nonprofessionals, are made central to the development process. Recent studies in the history of infrastructures reveal key turning points and issues that should be considered in the development of spatial cyberinfrastructure projects. These studies highlight the importance of adopting qualitative research methods to learn how users work with data and digital tools, and how user communities form. The author's empirical research on data sharing networks in the Pacific Northwest salmon crisis at the turn of the 21st century demonstrates that ordinary citizens can contribute critical local knowledge to global databases and should be considered in the design and construction of spatial cyberinfrastructures.","largerWorkTitle":"Proceedings of the National Academy of Sciences of the United States of America","language":"English","doi":"10.1073/pnas.0907677108","issn":"00278424","usgsCitation":"Poore, B., 2011, Users as essential contributors to spatial cyberinfrastructures, in Proceedings of the National Academy of Sciences of the United States of America, v. 108, no. 14, p. 5510-5515, https://doi.org/10.1073/pnas.0907677108.","startPage":"5510","endPage":"5515","numberOfPages":"6","costCenters":[],"links":[{"id":475353,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.0907677108","text":"External Repository"},{"id":216938,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.0907677108"},{"id":244840,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"14","noUsgsAuthors":false,"publicationDate":"2011-03-28","publicationStatus":"PW","scienceBaseUri":"505bbffae4b08c986b329e73","contributors":{"authors":[{"text":"Poore, B.S.","contributorId":102249,"corporation":false,"usgs":true,"family":"Poore","given":"B.S.","email":"","affiliations":[],"preferred":false,"id":444402,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70034169,"text":"70034169 - 2011 - Spatiotemporal evolution of dike opening and décollement slip at Kīlauea Volcano, Hawai'i","interactions":[],"lastModifiedDate":"2020-10-03T16:24:14.025474","indexId":"70034169","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":"Spatiotemporal evolution of dike opening and décollement slip at Kīlauea Volcano, Hawai'i","docAbstract":"Rapid changes in ground tilt and GPS positions on Kīlauea Volcano, Hawai'i, are interpreted as resulting from a shallow, two-segment dike intrusion into the east rift zone that began at 1217 UTC (0217 HST) on 17 June 2007 and lasted almost 3 days. As a result of the intrusion, a very small volume of basalt (about 1500 m3) erupted on 19 June. Northward tilt at a coastal tiltmeter, subsidence of south flank GPS sites, southeastward displacements at southwestern flank GPS sites, and a swarm of flank earthquakes suggest that a slow slip event occurred on the décollement beneath Kīlauea's south flank concurrent with the rift intrusion. We use 4 min GPS positions that include estimates of time-dependent tropospheric gradients and ground tilt data to study the spatial and temporal relationships between the two inferred shallow, steeply dipping dike segments extending from the surface to about 2 km depth and décollement slip at 8 km depth. We invert for the temporal evolution of distributed dike opening and décollement slip in independent inversions at each time step using a nonnegative least squares algorithm. On the basis of these inversions, the intrusion occurred in two stages that correspond spatially and temporally with concentrated rift zone seismicity. The dike opening began on the western of the two segments before jumping to the eastern segment, where the majority of opening accumulated. Dike opening preceded the start of décollement slip at an 84% confidence level; the latter is indicated by the onset of northward tilt of a coastal tiltmeter. Displacements at southwest flank GPS sites began about 18 h later and are interpreted as resulting from slow slip on the southwestern flank. Additional constraints on the evolution of the intrusion and décollement slip come from inversion of an Envisat interferogram that spans the intrusion until 0822 UTC on 18 June 2007, combined with GPS and tilt data. This inversion shows that up to 0822 UTC on 18 June, décollement slip is only required in a limited region offshore of Ka'ena Point. A similar inversion of the complete event, which includes GPS and tilt data up to 21 June and a second Envisat interferogram spanning the complete intrusion until 21 June, shows décollement slip spread westward across the south flank. This may suggest westward migration of the décollement slip as the event progressed.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JB007762","usgsCitation":"Montgomery-Brown, E., Sinnett, D.K., Larson, K., Poland, M., Segall, P., and Mikijus, A., 2011, Spatiotemporal evolution of dike opening and décollement slip at Kīlauea Volcano, Hawai'i: Journal of Geophysical Research B: Solid Earth, v. 116, no. 3, B03401, 14 p., https://doi.org/10.1029/2010JB007762.","productDescription":"B03401, 14 p.","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"links":[{"id":475163,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jb007762","text":"Publisher Index Page"},{"id":244841,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.798371,19.056854 ], [ -155.798371,19.550464 ], [ -155.016307,19.550464 ], [ -155.016307,19.056854 ], [ -155.798371,19.056854 ] ] ] } } ] }","volume":"116","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-23","publicationStatus":"PW","scienceBaseUri":"505b94cee4b08c986b31ac5c","contributors":{"authors":[{"text":"Montgomery-Brown, E. K.","contributorId":81722,"corporation":false,"usgs":false,"family":"Montgomery-Brown","given":"E. K.","affiliations":[],"preferred":false,"id":444406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sinnett, D. K.","contributorId":16680,"corporation":false,"usgs":false,"family":"Sinnett","given":"D.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":444403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, K.M.","contributorId":84949,"corporation":false,"usgs":true,"family":"Larson","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":444407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Michael P. 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":105847,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","affiliations":[],"preferred":false,"id":444408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Segall, P.","contributorId":44231,"corporation":false,"usgs":false,"family":"Segall","given":"P.","affiliations":[],"preferred":false,"id":444404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mikijus, Asta 0000-0002-2286-1886","orcid":"https://orcid.org/0000-0002-2286-1886","contributorId":80431,"corporation":false,"usgs":true,"family":"Mikijus","given":"Asta","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":444405,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70035870,"text":"70035870 - 2011 - Prostate cancer outcome and tissue levels of metal ions","interactions":[],"lastModifiedDate":"2017-06-29T14:07:06","indexId":"70035870","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3197,"text":"Prostate","active":true,"publicationSubtype":{"id":10}},"title":"Prostate cancer outcome and tissue levels of metal ions","docAbstract":"

BACKGROUND

There are several studies examining prostate cancer and exposure to cadmium, iron, selenium, and zinc. Less data are available on the possible influence of these metal ions on prostate cancer outcome. This study measured levels of these ions in prostatectomy samples in order to examine possible associations between metal concentrations and disease outcome.

METHODS

We obtained formalin fixed paraffin embedded tissue blocks of prostatectomy samples of 40 patients with PSA recurrence, matched 1:1 (for year of surgery, race, age, Gleason grading, and pathology TNM classification) with tissue blocks from 40 patients without recurrence (n = 80). Case–control pairs were compared for the levels of metals in areas adjacent to tumors. Inductively coupled plasma-mass spectrometry (ICP-MS) was used for quantification of Cd, Fe, Zn, and Se.

RESULTS

Patients with biochemical (PSA) recurrence of disease had 12% lower median iron (95 µg/g vs. 111 µg/g; P = 0.04) and 21% lower zinc (279 µg/g vs. 346 µg/g; P = 0.04) concentrations in the normal-appearing tissue immediately adjacent to cancer areas. Differences in cadmium (0.489 µg/g vs. 0.439 µg/g; 4% higher) and selenium (1.68 µg/g vs. 1.58 µg/g; 5% higher) levels were not statistically significant in recurrence cases, when compared to non-recurrences (P = 0.40 and 0.21, respectively).

CONCLUSIONS

There is an association between low zinc and low iron prostate tissue levels and biochemical recurrence in prostate cancer. Whether these novel findings are a cause or effect of more aggressive tumors, or whether low zinc and iron prostatic levels raise implications for therapy, remains to be investigated. 

","language":"English","publisher":"Wiley ","doi":"10.1002/pros.21339","issn":"02704137","usgsCitation":"Sarafanov, A., Todorov, T., Centeno, J., MacIas, V., Gao, W., Liang, W., Beam, C., Gray, M.A., and Kajdacsy-Balla, A., 2011, Prostate cancer outcome and tissue levels of metal ions: Prostate, v. 71, no. 11, p. 1231-1238, https://doi.org/10.1002/pros.21339.","productDescription":"8 p.","startPage":"1231","endPage":"1238","ipdsId":"IP-024814","costCenters":[],"links":[{"id":244279,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216410,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/pros.21339"}],"volume":"71","issue":"11","noUsgsAuthors":false,"publicationDate":"2011-01-26","publicationStatus":"PW","scienceBaseUri":"505a8f5ee4b0c8380cd7f705","contributors":{"authors":[{"text":"Sarafanov, A.G.","contributorId":85418,"corporation":false,"usgs":true,"family":"Sarafanov","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":452839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todorov, T.I.","contributorId":10995,"corporation":false,"usgs":true,"family":"Todorov","given":"T.I.","email":"","affiliations":[],"preferred":false,"id":452832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Centeno, J.A.","contributorId":73806,"corporation":false,"usgs":true,"family":"Centeno","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":452837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacIas, V.","contributorId":107114,"corporation":false,"usgs":true,"family":"MacIas","given":"V.","email":"","affiliations":[],"preferred":false,"id":452840,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gao, W.","contributorId":42031,"corporation":false,"usgs":true,"family":"Gao","given":"W.","email":"","affiliations":[],"preferred":false,"id":452834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liang, W.-M.","contributorId":54430,"corporation":false,"usgs":true,"family":"Liang","given":"W.-M.","email":"","affiliations":[],"preferred":false,"id":452835,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beam, C.","contributorId":66092,"corporation":false,"usgs":true,"family":"Beam","given":"C.","email":"","affiliations":[],"preferred":false,"id":452836,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gray, Marion A.","contributorId":193926,"corporation":false,"usgs":false,"family":"Gray","given":"Marion","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":702625,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kajdacsy-Balla, A.","contributorId":81319,"corporation":false,"usgs":true,"family":"Kajdacsy-Balla","given":"A.","email":"","affiliations":[],"preferred":false,"id":452838,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70034170,"text":"70034170 - 2011 - High-frequency filtering of strong-motion records","interactions":[],"lastModifiedDate":"2013-03-05T11:35:55","indexId":"70034170","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1101,"text":"Bulletin of Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"High-frequency filtering of strong-motion records","docAbstract":"The influence of noise in strong-motion records is most problematic at low and high frequencies where the signal to noise ratio is commonly low compared to that in the mid-spectrum. The impact of low-frequency noise (<1 Hz) on strong-motion intensity parameters such as ground velocities, displacements and response spectral ordinates can be dramatic and consequentially it has become standard practice to low-cut (high-pass) filter strong-motion data with corner frequencies often chosen based on the shape of Fourier amplitude spectra and the signal-to-noise ratio. It has been shown that response spectral ordinates should not be used beyond some fraction of the corner period (reciprocal of the corner frequency) of the low-cut filter. This article examines the effect of high-frequency noise (>5 Hz) on computed pseudo-absolute response spectral accelerations (PSAs). In contrast to the case of low-frequency noise our analysis shows that filtering to remove high-frequency noise is only necessary in certain situations and that PSAs can often be used up to 100 Hz even if much lower high-cut corner frequencies are required to remove the noise. This apparent contradiction can be explained by the fact that PSAs are often controlled by ground accelerations associated with much lower frequencies than the natural frequency of the oscillator because path and site attenuation (often modelled by Q and κ, respectively) have removed the highest frequencies. We demonstrate that if high-cut filters are to be used, then their corner frequencies should be selected on an individual basis, as has been done in a few recent studies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Earthquake Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10518-010-9208-4","issn":"1570761X","usgsCitation":"Douglas, J., and Boore, D., 2011, High-frequency filtering of strong-motion records: Bulletin of Earthquake Engineering, v. 9, no. 2, p. 395-409, https://doi.org/10.1007/s10518-010-9208-4.","productDescription":"15 p.","startPage":"395","endPage":"409","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487174,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://brgm.hal.science/hal-00567837","text":"External Repository"},{"id":216968,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10518-010-9208-4"},{"id":244871,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-09-16","publicationStatus":"PW","scienceBaseUri":"505a30e9e4b0c8380cd5da66","contributors":{"authors":[{"text":"Douglas, J.","contributorId":27811,"corporation":false,"usgs":true,"family":"Douglas","given":"J.","email":"","affiliations":[],"preferred":false,"id":444409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boore, D.M. 0000-0002-8605-9673","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":64226,"corporation":false,"usgs":true,"family":"Boore","given":"D.M.","affiliations":[],"preferred":false,"id":444410,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035900,"text":"70035900 - 2011 - Islands at bay: Rising seas, eroding islands, and waterbird habitat loss in Chesapeake Bay (USA)","interactions":[],"lastModifiedDate":"2021-02-08T19:27:34.681652","indexId":"70035900","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2219,"text":"Journal of Coastal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Islands at bay: Rising seas, eroding islands, and waterbird habitat loss in Chesapeake Bay (USA)","docAbstract":"

Like many resources in the Chesapeake Bay region of the U.S., many waterbird nesting populations have suffered over the past three to four decades. In this study, historic information for the entire Bay and recent results from the Tangier Sound region were evaluated to illustrate patterns of island erosion and habitat loss for 19 breeding species of waterbirds. Aerial imagery and field data collected in the nesting season were the primary sources of data. From 1993/1994 to 2007/2008, a group of 15 islands in Tangier Sound, Virginia were reduced by 21% in area, as most of their small dunes and associated vegetation and forest cover were lost to increased washovers. Concurrently, nesting American black ducks (Anas rubripes) declined by 66% , wading birds (herons-egrets) by 51%, gulls by 72%, common terns (Sterna hirundo) by 96% and black skimmers (Rynchops niger) by about 70% in this complex. The declines noted at the larger Bay-wide scale suggest that this study area maybe symptomatic of a systemic limitation of nesting habitat for these species. The island losses noted in the Chesapeake have also been noted in other Atlantic U.S. coastal states. Stabilization and/or restoration of at least some of the rapidly eroding islands at key coastal areas are critical to help sustain waterbird communities.

","language":"English","publisher":"Springer Link","doi":"10.1007/s11852-010-0119-y","issn":"14000350","usgsCitation":"Erwin, R., Brinker, D., Watts, B., Costanzo, G., and Morton, D., 2011, Islands at bay: Rising seas, eroding islands, and waterbird habitat loss in Chesapeake Bay (USA): Journal of Coastal Conservation, v. 15, no. 1, p. 51-60, https://doi.org/10.1007/s11852-010-0119-y.","productDescription":"10 p.","startPage":"51","endPage":"60","costCenters":[],"links":[{"id":244280,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216411,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11852-010-0119-y"}],"country":"United States","state":"Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.96633911132812,\n 37.70120736474139\n ],\n [\n -75.60653686523438,\n 37.70120736474139\n ],\n [\n -75.60653686523438,\n 37.98317483351337\n ],\n [\n -75.96633911132812,\n 37.98317483351337\n ],\n [\n -75.96633911132812,\n 37.70120736474139\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-09-01","publicationStatus":"PW","scienceBaseUri":"505a3f39e4b0c8380cd6436d","contributors":{"authors":[{"text":"Erwin, R. Michael 0000-0003-2108-9502","orcid":"https://orcid.org/0000-0003-2108-9502","contributorId":196583,"corporation":false,"usgs":false,"family":"Erwin","given":"R. Michael","affiliations":[],"preferred":false,"id":453013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinker, D.F.","contributorId":10523,"corporation":false,"usgs":true,"family":"Brinker","given":"D.F.","email":"","affiliations":[],"preferred":false,"id":453009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watts, B.D.","contributorId":54703,"corporation":false,"usgs":true,"family":"Watts","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":453012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Costanzo, G.R.","contributorId":17960,"corporation":false,"usgs":true,"family":"Costanzo","given":"G.R.","email":"","affiliations":[],"preferred":false,"id":453010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morton, D.D.","contributorId":18298,"corporation":false,"usgs":true,"family":"Morton","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":453011,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035899,"text":"70035899 - 2011 - Estimation of suspended-sediment concentration from total suspended solids and turbidity data for Kentucky, 1978-1995","interactions":[],"lastModifiedDate":"2021-02-08T19:41:13.40459","indexId":"70035899","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":"Estimation of suspended-sediment concentration from total suspended solids and turbidity data for Kentucky, 1978-1995","docAbstract":"

Suspended sediment is a constituent of water quality that is monitored because of concerns about accelerated erosion, nonpoint contamination of water resources, and degradation of aquatic environments. In order to quantify the relationship among different sediment parameters for Kentucky streams, long‐term records were obtained from the National Water Information System of the U.S. Geological Survey. Suspended‐sediment concentration (SSC), the parameter traditionally measured and reported by the U.S. Geological Survey, was statistically compared to turbidity and total suspended solids (TSS), two parameters that are considered surrogate data. A linear regression of log‐transformed observations was used to estimate SSC from TSS; 72% of TSS observations were less than coincident SSC observations; however, the estimated SSC values were almost as likely to be overestimated as underestimated. The SSC‐turbidity relationship also used log‐transformed observations, but required a nonlinear, breakpoint regression that separated turbidity observations ≤6 nephelometric turbidity units. The slope for these low turbidity values was not significantly different than zero, indicating that low turbidity observations provide no real information about SSC; in the case of the Kentucky sediment record, this accounts for 30% of the turbidity observations.

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\"}}]}","volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-04-11","publicationStatus":"PW","scienceBaseUri":"505a0bb2e4b0c8380cd5282b","contributors":{"authors":[{"text":"Williamson, Tanja N. tnwillia@usgs.gov","contributorId":452,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja N.","email":"tnwillia@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":453008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, Charles G. 0000-0003-1653-7841 cgcrawfo@usgs.gov","orcid":"https://orcid.org/0000-0003-1653-7841","contributorId":1064,"corporation":false,"usgs":true,"family":"Crawford","given":"Charles","email":"cgcrawfo@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":453007,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036785,"text":"70036785 - 2011 - Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands","interactions":[],"lastModifiedDate":"2018-02-21T10:49:44","indexId":"70036785","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands","docAbstract":"Recent flood events in the Prairie Pothole Region of North America have stimulated interest in modeling water storage capacities of wetlands and their surrounding catchments to facilitate flood mitigation efforts. Accurate estimates of basin storage capacities have been hampered by a lack of high-resolution elevation data. In this paper, we developed a 0.5 m bare-earth model from Light Detection And Ranging (LiDAR) data and, in combination with National Wetlands Inventory data, delineated wetland catchments and their spilling points within a 196 km2 study area. We then calculated the maximum water storage capacity of individual basins and modeled the connectivity among these basins. When compared to field survey results, catchment and spilling point delineations from the LiDAR bare-earth model captured subtle landscape features very well. Of the 11 modeled spilling points, 10 matched field survey spilling points. The comparison between observed and modeled maximum water storage had an R2 of 0.87 with mean absolute error of 5564 m3. Since maximum water storage capacity of basins does not translate into floodwater regulation capability, we further developed a Basin Floodwater Regulation Index. Based upon this index, the absolute and relative water that could be held by wetlands over a landscape could be modeled. This conceptual model of floodwater downstream contribution was demonstrated with water level data from 17 May 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jhydrol.2011.05.040","issn":"00221694","usgsCitation":"Huang, S., Young, C., Feng, M., Heidemann, H.K., Cushing, M., Mushet, D., and Liu, S., 2011, Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands: Journal of Hydrology, v. 405, no. 3-4, p. 417-426, https://doi.org/10.1016/j.jhydrol.2011.05.040.","productDescription":"10 p.","startPage":"417","endPage":"426","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245856,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217883,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2011.05.040"}],"country":"United States;Canada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,40.38 ], [ -120.0,60.0 ], [ -90.14,60.0 ], [ -90.14,40.38 ], [ -120.0,40.38 ] ] ] } } ] }","volume":"405","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fe90e4b0c8380cd4edca","contributors":{"authors":[{"text":"Huang, S.","contributorId":18168,"corporation":false,"usgs":true,"family":"Huang","given":"S.","affiliations":[],"preferred":false,"id":457836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Caitlin","contributorId":30181,"corporation":false,"usgs":false,"family":"Young","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":457838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feng, M.","contributorId":18195,"corporation":false,"usgs":true,"family":"Feng","given":"M.","affiliations":[],"preferred":false,"id":457837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heidemann, Hans Karl 0000-0003-4306-359X kheidemann@usgs.gov","orcid":"https://orcid.org/0000-0003-4306-359X","contributorId":3755,"corporation":false,"usgs":true,"family":"Heidemann","given":"Hans","email":"kheidemann@usgs.gov","middleInitial":"Karl","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":457842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cushing, Matthew 0000-0001-5209-6006","orcid":"https://orcid.org/0000-0001-5209-6006","contributorId":66101,"corporation":false,"usgs":true,"family":"Cushing","given":"Matthew","affiliations":[],"preferred":false,"id":457840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mushet, D.M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":59377,"corporation":false,"usgs":true,"family":"Mushet","given":"D.M.","affiliations":[],"preferred":false,"id":457839,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":457841,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70035647,"text":"70035647 - 2011 - Study relationship between inorganic and organic coal analysis with gross calorific value by multiple regression and ANFIS","interactions":[],"lastModifiedDate":"2021-02-17T21:17:55.08143","indexId":"70035647","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2034,"text":"International Journal of Coal Preparation and Utilization","active":true,"publicationSubtype":{"id":10}},"title":"Study relationship between inorganic and organic coal analysis with gross calorific value by multiple regression and ANFIS","docAbstract":"

The relationship between maceral content plus mineral matter and gross calorific value (GCV) for a wide range of West Virginia coal samples (from 6518 to 15330 BTU/lb; 15.16 to 35.66 MJ/kg) has been investigated by multivariable regression and adaptive neuro-fuzzy inference system (ANFIS). The stepwise least square mathematical method comparison between liptinite, vitrinite, plus mineral matter as input data sets with measured GCV reported a nonlinear correlation coefficient (R 2) of 0.83. Using the same data set the correlation between the predicted GCV from the ANFIS model and the actual GCV reported a R 2 value of 0.96. It was determined that the GCV-based prediction methods, as used in this article, can provide a reasonable estimation of GCV.

","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/19392699.2010.527876","issn":"19392699","usgsCitation":"Chelgani, S., Hart, B., Grady, W., and Hower, J., 2011, Study relationship between inorganic and organic coal analysis with gross calorific value by multiple regression and ANFIS: International Journal of Coal Preparation and Utilization, v. 31, no. 1, p. 9-19, https://doi.org/10.1080/19392699.2010.527876.","productDescription":"11 p.","startPage":"9","endPage":"19","costCenters":[],"links":[{"id":244236,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216372,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/19392699.2010.527876"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9ce2e4b08c986b31d500","contributors":{"authors":[{"text":"Chelgani, S.C.","contributorId":54035,"corporation":false,"usgs":true,"family":"Chelgani","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":451617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, B.","contributorId":18201,"corporation":false,"usgs":true,"family":"Hart","given":"B.","email":"","affiliations":[],"preferred":false,"id":451616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grady, W.C.","contributorId":104223,"corporation":false,"usgs":true,"family":"Grady","given":"W.C.","email":"","affiliations":[],"preferred":false,"id":451619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hower, J.C.","contributorId":100541,"corporation":false,"usgs":true,"family":"Hower","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":451618,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034201,"text":"70034201 - 2011 - Geochemical and isotopic study of soils and waters from an Italian contaminated site: Agro Aversano (Campania)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034201","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical and isotopic study of soils and waters from an Italian contaminated site: Agro Aversano (Campania)","docAbstract":"Lead isotope applications have been widely used in recent years in environmental studies conducted on different kinds of sampled media. In the present paper, Pb isotope ratios have been used to determine the sources of metal pollution in soils and waters in the Agro Aversano area. During three different sampling phases, a total of 113 surface soils (5-20. cm), 20 samples from 2 soil profiles (0-1. m), 11 stream waters and 4 groundwaters were collected. Major element concentrations in sampled media have been analyzed by the ICP-MS technique. Surface soils (20 samples), all soil profiles and all waters have been also analyzed for Pb isotope compositions by thermal ionization (TIMS). The geochemical data were assessed using statistic methods and cartographically elaborated in order to have a clear picture of the level of disturbance of the area. Pb isotopic data were studied to discriminate between anthropogenic and geologic sources. Our results show that As (5.6-25.6. mg/kg), Cu (9-677. mg/kg), Pb (22-193. mg/kg), Tl (0.53-3.62. mg/kg), V (26-142. mg/kg) and Zn (34-215. mg//kg) contents in analyzed soils, exceed the intervention limits fixed by the Italian Environmental Law for residential areas in some of the sampled sites, while intervention limit for industrial areas is exceeded only for Cu concentrations. Lead isotopic data, show that there is a high similarity between the ratios measured in the leached soil samples and those deriving from anthropic activities. This similarity with anthropogenic Pb is also evident in the ratios measured in both groundwater and stream water samples. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geochemical Exploration","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.gexplo.2010.09.013","issn":"03756742","usgsCitation":"Bove, M., Ayuso, R., de Vivo, B., Lima, A., and Albanese, S., 2011, Geochemical and isotopic study of soils and waters from an Italian contaminated site: Agro Aversano (Campania): Journal of Geochemical Exploration, v. 109, no. 1-3, p. 38-50, https://doi.org/10.1016/j.gexplo.2010.09.013.","startPage":"38","endPage":"50","numberOfPages":"13","costCenters":[],"links":[{"id":244809,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216908,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gexplo.2010.09.013"}],"volume":"109","issue":"1-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a15d8e4b0c8380cd54f74","contributors":{"authors":[{"text":"Bove, M.A.","contributorId":49211,"corporation":false,"usgs":true,"family":"Bove","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":444574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayuso, R. A. 0000-0002-8496-9534","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":27079,"corporation":false,"usgs":true,"family":"Ayuso","given":"R. A.","affiliations":[],"preferred":false,"id":444572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Vivo, B.","contributorId":50549,"corporation":false,"usgs":false,"family":"de Vivo","given":"B.","affiliations":[],"preferred":false,"id":444575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lima, A.","contributorId":74884,"corporation":false,"usgs":true,"family":"Lima","given":"A.","affiliations":[],"preferred":false,"id":444576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Albanese, S.","contributorId":35972,"corporation":false,"usgs":true,"family":"Albanese","given":"S.","affiliations":[],"preferred":false,"id":444573,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}