{"pageNumber":"746","pageRowStart":"18625","pageSize":"25","recordCount":68924,"records":[{"id":70034282,"text":"70034282 - 2011 - Tracking nonpoint source nitrogen pollution in human-impacted watersheds","interactions":[],"lastModifiedDate":"2020-01-28T10:16:45","indexId":"70034282","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Tracking nonpoint source nitrogen pollution in human-impacted watersheds","docAbstract":"<p><span>Nonpoint source nitrogen (N) pollution is a leading contributor to U.S. water quality impairments. We combined watershed N mass balances and stable isotopes to investigate fate and transport of nonpoint N in forest, agricultural, and urbanized watersheds at the Baltimore Long-Term Ecological Research site. Annual N retention was 55%, 68%, and 82% for agricultural, suburban, and forest watersheds, respectively. Analysis of &delta;</span><sup><span>15</span></sup><span>N-NO</span><sub><span>3</span></sub><sup><span>&ndash;</span></sup><span>, and &delta;</span><sup><span>18</span></sup><span>O-NO</span><sub><span>3</span></sub><sup><span>&ndash;</span></sup><span>&nbsp;indicated wastewater was an important nitrate source in urbanized streams during baseflow. Negative correlations between &delta;</span><sup><span>15</span></sup><span>N-NO</span><sub><span>3</span></sub><sup><span>&ndash;</span></sup><span>&nbsp;and &delta;</span><sup><span>18</span></sup><span>O-NO</span><sub><span>3</span></sub><sup><span>&ndash;</span></sup><span>&nbsp;in urban watersheds indicated mixing between atmospheric deposition and wastewater, and N source contributions changed with storm magnitude (atmospheric sources contributed &sim;50% at peak storm N loads). Positive correlations between &delta;</span><sup><span>15</span></sup><span>N-NO</span><sub><span>3</span></sub><sup><span>&ndash;</span></sup><span><sup>&nbsp;</sup>and &delta;</span><sup><span>18</span></sup><span>O-NO</span><sub><span>3</span></sub><sup><span>&ndash;</span></sup><span>&nbsp;in watersheds suggested denitrification was removing septic system and agriculturally derived N, but N from belowground leaking sewers was less susceptible to denitrification. N transformations were also observed in a storm drain (no natural drainage network) potentially due to organic carbon inputs. Overall, nonpoint sources such as atmospheric deposition, wastewater, and fertilizer showed different susceptibility to watershed N export. There were large changes in nitrate sources as a function of runoff, and anticipating source changes in response to climate and storms will be critical for managing nonpoint N pollution.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es200779e","issn":"0013936X","usgsCitation":"Kaushal, S.S., Groffman, P., Band, L., Elliott, E.M., Shields, C.A., and Kendall, C., 2011, Tracking nonpoint source nitrogen pollution in human-impacted watersheds: Environmental Science & Technology, v. 45, no. 19, p. 8225-8232, https://doi.org/10.1021/es200779e.","productDescription":"8 p.","startPage":"8225","endPage":"8232","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":244523,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"19","noUsgsAuthors":false,"publicationDate":"2011-09-02","publicationStatus":"PW","scienceBaseUri":"505bb6a2e4b08c986b326dbc","contributors":{"authors":[{"text":"Kaushal, Sujay S.","contributorId":174385,"corporation":false,"usgs":false,"family":"Kaushal","given":"Sujay","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":445066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groffman, Peter M","contributorId":168873,"corporation":false,"usgs":false,"family":"Groffman","given":"Peter M","affiliations":[{"id":25372,"text":"Senior Research Scientist, Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":445063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Band, Lawrence","contributorId":174085,"corporation":false,"usgs":false,"family":"Band","given":"Lawrence","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":445067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Emily M.","contributorId":174386,"corporation":false,"usgs":false,"family":"Elliott","given":"Emily","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":445068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shields, Catherine A.","contributorId":174387,"corporation":false,"usgs":false,"family":"Shields","given":"Catherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":445064,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034297,"text":"70034297 - 2011 - Beach characteristics mitigate effects of onshore wind on horseshoe crab spawning: Implications for matching with shorebird migration in Delaware Bay","interactions":[],"lastModifiedDate":"2021-04-23T12:40:28.752911","indexId":"70034297","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Beach characteristics mitigate effects of onshore wind on horseshoe crab spawning: Implications for matching with shorebird migration in Delaware Bay","docAbstract":"<p><span>Disruption of food availability by unfavorable physical processes at energetically demanding times can limit recruitment of migratory species as predicted by the match–mismatch hypothesis. Identification and protection of disruption‐resistant habitat could contribute to system resilience. For example, horseshoe crab&nbsp;</span><i>Limulus polyphemus</i><span>&nbsp;spawning and shorebird stopover must match temporally in Delaware Bay for eggs to be available to shorebirds. Onshore winds that generate waves can create a mismatch by delaying horseshoe crab spawning. We examined effects of beach characteristics and onshore winds on spawning activity at five beaches when water temperatures were otherwise consistent with early spawning activity. Onshore winds resulted in reduced spawning activity during the shorebird stopover, when spawning typically peaks in late May. During the period with high onshore wind, egg density was highest on the foreshore exposed to the lowest wave heights. Onshore wind was low in early June, and spawning and egg densities were high at all sites, but shorebirds had departed. Beaches that can serve as a refuge from wind and waves can be identified by physical characteristics and orientation to prevailing winds and should receive special conservation status, especially in light of predicted increases in climate change‐induced storm frequency. These results point to a potential conservation strategy that includes coastal management for adapting to climate change‐induced mismatch of migrations.</span></p>","language":"English","publisher":"The Zoological Society of London","doi":"10.1111/j.1469-1795.2011.00481.x","issn":"13679430","usgsCitation":"Smith, D., Jackson, N., Nordstrom, K., and Weber, R., 2011, Beach characteristics mitigate effects of onshore wind on horseshoe crab spawning: Implications for matching with shorebird migration in Delaware Bay: Animal Conservation, v. 14, no. 5, p. 575-584, https://doi.org/10.1111/j.1469-1795.2011.00481.x.","productDescription":"10 p.","startPage":"575","endPage":"584","costCenters":[],"links":[{"id":244781,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.60379028320312,\n              38.8504034216919\n            ],\n            [\n              -74.74960327148438,\n              38.8504034216919\n            ],\n            [\n              -74.74960327148438,\n              39.44785903194701\n            ],\n            [\n              -75.60379028320312,\n              39.44785903194701\n            ],\n            [\n              -75.60379028320312,\n              38.8504034216919\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-07-19","publicationStatus":"PW","scienceBaseUri":"5059f02fe4b0c8380cd4a626","contributors":{"authors":[{"text":"Smith, D. R. 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":44108,"corporation":false,"usgs":true,"family":"Smith","given":"D. R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":445136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, N.L.","contributorId":104189,"corporation":false,"usgs":true,"family":"Jackson","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":445137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nordstrom, K.F.","contributorId":17733,"corporation":false,"usgs":true,"family":"Nordstrom","given":"K.F.","email":"","affiliations":[],"preferred":false,"id":445134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weber, R.G.","contributorId":38686,"corporation":false,"usgs":true,"family":"Weber","given":"R.G.","affiliations":[],"preferred":false,"id":445135,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034435,"text":"70034435 - 2011 - Overpressure generation by load transfer following shale framework weakening due to smectite diagenesis","interactions":[],"lastModifiedDate":"2021-04-20T19:24:29.86206","indexId":"70034435","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1765,"text":"Geofluids","active":true,"publicationSubtype":{"id":10}},"title":"Overpressure generation by load transfer following shale framework weakening due to smectite diagenesis","docAbstract":"<p><span>Basin model studies which have addressed the importance of smectite conversion to illite as a source of overpressure in the Gulf of Mexico have principally relied on a single‐shale compaction model and treated the smectite reaction as only a fluid‐source term. Recent fluid pressure interpretation and shale petrology studies indicate that conversion of bound water to mobile water, dissolution of load‐bearing grains, and increased preferred orientation change the compaction properties of the shale. This results in substantial changes in effective stress and fluid pressure. The resulting fluid pressure can be 1500–3000 psi higher than pressures interpreted from models based on shallow compaction trends. Shale diagenesis changes the mineralogy, volume, and orientation of the load‐bearing grains in the shale as well as the volume of bound water. This process creates a weaker (more compactable) grain framework. When these changes occur without fluid export from the shale, some of the stress is transferred from the grains onto the fluid. Observed relationships between shale density and calculated effective stress in Gulf of Mexico shelf wells confirm these changes in shale properties with depth. Further, the density–effective stress changes cannot be explained by fluid‐expansion or fluid‐source processes or by prediagenesis compaction, but are consistent with a dynamic diagenetic modification of the shale mineralogy, texture, and compaction properties during burial. These findings support the incorporation of diagenetic modification of compaction properties as part of the fluid pressure interpretation process.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1468-8123.2011.00350.x","issn":"14688115","usgsCitation":"Lahann, R., and Swarbrick, R., 2011, Overpressure generation by load transfer following shale framework weakening due to smectite diagenesis: Geofluids, v. 11, no. 4, p. 362-375, https://doi.org/10.1111/j.1468-8123.2011.00350.x.","productDescription":"14 p.","startPage":"362","endPage":"375","costCenters":[],"links":[{"id":244472,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216592,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1468-8123.2011.00350.x"}],"volume":"11","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-09-28","publicationStatus":"PW","scienceBaseUri":"505a71dee4b0c8380cd767e8","contributors":{"authors":[{"text":"Lahann, R.W.","contributorId":85797,"corporation":false,"usgs":true,"family":"Lahann","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":445770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarbrick, R.E.","contributorId":77770,"corporation":false,"usgs":true,"family":"Swarbrick","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":445769,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032419,"text":"70032419 - 2011 - Simulating the potential effects of climate change in two Colorado basins and at two Colorado ski areas","interactions":[],"lastModifiedDate":"2020-01-28T15:31:02","indexId":"70032419","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Simulating the potential effects of climate change in two Colorado basins and at two Colorado ski areas","docAbstract":"<p>The mountainous areas of Colorado are used for tourism and recreation, and they provide water storage and supply for municipalities, industries, and agriculture. Recent studies suggest that water supply and tourist industries such as skiing are at risk from climate change. In this study, a distributed-parameter watershed model, the Precipitation-Runoff Modeling System (PRMS), is used to identify the potential effects of future climate on hydrologic conditions for two Colorado basins, the East River at Almont and the Yampa River at Steamboat Springs, and at the subbasin scale for two ski areas within those basins.</p><p>Climate-change input files for PRMS were generated by modifying daily PRMS precipitation and temperature inputs with mean monthly climate-change fields of precipitation and temperature derived from five general circulation model (GCM) simulations using one current and three future carbon emission scenarios. All GCM simulations of mean daily minimum and maximum air temperature for the East and Yampa River basins indicate a relatively steady increase of up to several degrees Celsius from baseline conditions by 2094. GCM simulations of precipitation in the two basins indicate little change or trend in precipitation, but there is a large range associated with these projections. PRMS projections of basin mean daily streamflow vary by scenario but indicate a central tendency toward slight decreases, with a large range associated with these projections.</p><p>Decreases in water content or changes in the spatial extent of snowpack in the East and Yampa River basins are important because of potential adverse effects on water supply and recreational activities. PRMS projections of each future scenario indicate a central tendency for decreases in basin mean snow-covered area and snowpack water equivalent, with the range in the projected decreases increasing with time. However, when examined on a monthly basis, the projected decreases are most dramatic during fall and spring. Presumably, ski area locations are picked because of a tendency to receive snow and keep snowpack relative to the surrounding area. This effect of ski area location within the basin was examined by comparing projections of March snow-covered area and snowpack water equivalent for the entire basin with more local projections for the portion of the basin that represents the ski area in the PRMS models. These projections indicate a steady decrease in March snow-covered area for the basins but only small changes in March snow-covered area at both ski areas for the three future scenarios until around 2050. After 2050, larger decreases are possible, but there is a large range in the projections of future scenarios. The rates of decrease for snowpack water equivalent and precipitation that falls as snow are similar at the basin and subbasin scale in both basins. Results from this modeling effort show that there is a wide range of possible outcomes for future snowpack conditions in Colorado. The results also highlight the differences between projections for entire basins and projections for local areas or subbasins within those basins.</p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/2011EI373.1","usgsCitation":"Battaglin, W., Hay, L.E., and Markstrom, S., 2011, Simulating the potential effects of climate change in two Colorado basins and at two Colorado ski areas: Earth Interactions, v. 15, no. 22, p. 1-23, https://doi.org/10.1175/2011EI373.1.","productDescription":"23 p.","startPage":"1","endPage":"23","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475226,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2011ei373.1","text":"Publisher Index 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,{"id":70034584,"text":"70034584 - 2011 - Projected evolution of California's San Francisco bay-delta-river system in a century of climate change","interactions":[],"lastModifiedDate":"2020-01-11T12:15:17","indexId":"70034584","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Projected evolution of California's San Francisco bay-delta-river system in a century of climate change","docAbstract":"Background: Accumulating evidence shows that the planet is warming as a response to human emissions of greenhouse gases. Strategies of adaptation to climate change will require quantitative projections of how altered regional patterns of temperature, precipitation and sea level could cascade to provoke local impacts such as modified water supplies, increasing risks of coastal flooding, and growing challenges to sustainability of native species. Methodology/Principal Findings: We linked a series of models to investigate responses of California's San Francisco Estuary-Watershed (SFEW) system to two contrasting scenarios of climate change. Model outputs for scenarios of fast and moderate warming are presented as 2010-2099 projections of nine indicators of changing climate, hydrology and habitat quality. Trends of these indicators measure rates of: increasing air and water temperatures, salinity and sea level; decreasing precipitation, runoff, snowmelt contribution to runoff, and suspended sediment concentrations; and increasing frequency of extreme environmental conditions such as water temperatures and sea level beyond the ranges of historical observations. Conclusions/Significance: Most of these environmental indicators change substantially over the 21st century, and many would present challenges to natural and managed systems. Adaptations to these changes will require flexible planning to cope with growing risks to humans and the challenges of meeting demands for fresh water and sustaining native biota. Programs of ecosystem rehabilitation and biodiversity conservation in coastal landscapes will be most likely to meet their objectives if they are designed from considerations that include: (1) an integrated perspective that river-estuary systems are influenced by effects of climate change operating on both watersheds and oceans; (2) varying sensitivity among environmental indicators to the uncertainty of future climates; (3) inevitability of biological community changes as responses to cumulative effects of climate change and other drivers of habitat transformations; and (4) anticipation and adaptation to the growing probability of ecosystem regime shifts.","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0024465","issn":"19326203","usgsCitation":"Cloern, J.E., Knowles, N., Brown, L.R., Cayan, D.R., Dettinger, M., Morgan, T., Schoellhamer, D., Stacey, M., Van der Wegen, M., Wagner, R., and Jassby, A.D., 2011, Projected evolution of California's San Francisco bay-delta-river system in a century of climate change: PLoS ONE, v. 6, no. 9, e24465, 13 p., https://doi.org/10.1371/journal.pone.0024465.","productDescription":"e24465, 13 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":487226,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0024465","text":"Publisher Index Page"},{"id":243755,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.09631347656249,\n              37.391981943533544\n            ],\n            [\n              -121.87683105468749,\n              37.391981943533544\n            ],\n            [\n              -121.87683105468749,\n              38.302869955150044\n            ],\n            [\n              -123.09631347656249,\n              38.302869955150044\n            ],\n            [\n              -123.09631347656249,\n              37.391981943533544\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-21","publicationStatus":"PW","scienceBaseUri":"505a8ef7e4b0c8380cd7f4c9","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":446508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knowles, Noah 0000-0001-5652-1049 nknowles@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":1380,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","email":"nknowles@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":446509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":446510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":446506,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":146383,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","email":"mddettin@usgs.gov","affiliations":[],"preferred":false,"id":446513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morgan, Tara L. 0000-0001-5632-5232","orcid":"https://orcid.org/0000-0001-5632-5232","contributorId":29124,"corporation":false,"usgs":true,"family":"Morgan","given":"Tara L.","affiliations":[],"preferred":false,"id":446507,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":446512,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stacey, Mark T.","contributorId":13367,"corporation":false,"usgs":true,"family":"Stacey","given":"Mark T.","affiliations":[],"preferred":false,"id":446511,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Van der Wegen, Mick","contributorId":191095,"corporation":false,"usgs":false,"family":"Van der Wegen","given":"Mick","email":"","affiliations":[],"preferred":false,"id":446514,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wagner, R.W.","contributorId":48784,"corporation":false,"usgs":true,"family":"Wagner","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":446505,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jassby, Alan D.","contributorId":66403,"corporation":false,"usgs":true,"family":"Jassby","given":"Alan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":446504,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70034300,"text":"70034300 - 2011 - Multilevel empirical bayes modeling for improved estimation of toxicant formulations to suppress parasitic sea lamprey in the upper Great Lakes","interactions":[],"lastModifiedDate":"2021-04-23T12:39:46.581965","indexId":"70034300","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Multilevel empirical bayes modeling for improved estimation of toxicant formulations to suppress parasitic sea lamprey in the upper Great Lakes","docAbstract":"<p><span>Estimation of extreme quantal‐response statistics, such as the concentration required to kill 99.9% of test subjects (LC99.9), remains a challenge in the presence of multiple covariates and complex study designs. Accurate and precise estimates of the LC99.9 for mixtures of toxicants are critical to ongoing control of a parasitic invasive species, the sea lamprey, in the Laurentian Great Lakes of North America. The toxicity of those chemicals is affected by local and temporal variations in water chemistry, which must be incorporated into the modeling. We develop multilevel empirical Bayes models for data from multiple laboratory studies. Our approach yields more accurate and precise estimation of the LC99.9 compared to alternative models considered. This study demonstrates that properly incorporating hierarchical structure in laboratory data yields better estimates of LC99.9 stream treatment values that are critical to larvae control in the field. In addition, out‐of‐sample prediction of the results of in situ tests reveals the presence of a latent seasonal effect not manifest in the laboratory studies, suggesting avenues for future study and illustrating the importance of dual consideration of both experimental and observational data.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1541-0420.2011.01566.x","issn":"0006341X","usgsCitation":"Hatfield, L., Gutreuter, S., Boogaard, M., and Carlin, B., 2011, Multilevel empirical bayes modeling for improved estimation of toxicant formulations to suppress parasitic sea lamprey in the upper Great Lakes: Biometrics, v. 67, no. 3, p. 1153-1162, https://doi.org/10.1111/j.1541-0420.2011.01566.x.","productDescription":"10 p.","startPage":"1153","endPage":"1162","costCenters":[],"links":[{"id":475356,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc3111860","text":"External Repository"},{"id":244814,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-01","publicationStatus":"PW","scienceBaseUri":"505a6028e4b0c8380cd7131c","contributors":{"authors":[{"text":"Hatfield, L.A.","contributorId":51579,"corporation":false,"usgs":true,"family":"Hatfield","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":445142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gutreuter, S.","contributorId":79829,"corporation":false,"usgs":true,"family":"Gutreuter","given":"S.","email":"","affiliations":[],"preferred":false,"id":445144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boogaard, M.A.","contributorId":92994,"corporation":false,"usgs":true,"family":"Boogaard","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":445145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlin, B.P.","contributorId":74227,"corporation":false,"usgs":true,"family":"Carlin","given":"B.P.","email":"","affiliations":[],"preferred":false,"id":445143,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034674,"text":"70034674 - 2011 - Organic sedimentary deposits in Titan's dry lakebeds: Probable evaporite","interactions":[],"lastModifiedDate":"2021-04-14T11:45:50.24159","indexId":"70034674","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Organic sedimentary deposits in Titan's dry lakebeds: Probable evaporite","docAbstract":"<p><span>We report the discovery of organic sedimentary deposits at the bottom of dry lakebeds near Titan’s north pole in observations from the&nbsp;</span><i>Cassini</i><span>&nbsp;Visual and Infrared Mapping&nbsp;<a title=\"Learn more about Spectrometer from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/spectrometer\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/spectrometer\">Spectrometer</a>&nbsp;(VIMS). We show evidence that the deposits are evaporitic, making Titan just the third known planetary body with evaporitic processes after Earth and Mars, and is the first that uses a solvent other than water.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2011.08.022","issn":"00191035","usgsCitation":"Barnes, J.W., Bow, J., Schwartz, J., Brown, R.H., Soderblom, J., Hayes, A., Vixie, G., Le Mouelic, S., Rodriguez, S., Sotin, C., Jaumann, R., Stephan, K., Soderblom, L., Clark, R.N., Buratti, B.J., Baines, K.H., and Nicholson, P.D., 2011, Organic sedimentary deposits in Titan's dry lakebeds: Probable evaporite: Icarus, v. 216, no. 1, p. 136-140, https://doi.org/10.1016/j.icarus.2011.08.022.","productDescription":"5 p.","startPage":"136","endPage":"140","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":243665,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"216","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6fdae4b0c8380cd75ce2","contributors":{"authors":[{"text":"Barnes, J. W.","contributorId":14554,"corporation":false,"usgs":false,"family":"Barnes","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":446979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bow, J.","contributorId":94882,"corporation":false,"usgs":true,"family":"Bow","given":"J.","email":"","affiliations":[],"preferred":false,"id":446992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, J.","contributorId":37530,"corporation":false,"usgs":true,"family":"Schwartz","given":"J.","email":"","affiliations":[],"preferred":false,"id":446983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, R. H.","contributorId":19931,"corporation":false,"usgs":false,"family":"Brown","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":446980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soderblom, J.M.","contributorId":31097,"corporation":false,"usgs":true,"family":"Soderblom","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":446981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayes, A. G.","contributorId":31098,"corporation":false,"usgs":false,"family":"Hayes","given":"A. G.","affiliations":[],"preferred":false,"id":446982,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vixie, G.","contributorId":91325,"corporation":false,"usgs":true,"family":"Vixie","given":"G.","email":"","affiliations":[],"preferred":false,"id":446990,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Le Mouélic, Stéphane","contributorId":92786,"corporation":false,"usgs":false,"family":"Le Mouélic","given":"Stéphane","affiliations":[],"preferred":false,"id":446991,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rodriguez, S.","contributorId":54329,"corporation":false,"usgs":false,"family":"Rodriguez","given":"S.","email":"","affiliations":[],"preferred":false,"id":446986,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sotin, Christophe","contributorId":53924,"corporation":false,"usgs":false,"family":"Sotin","given":"Christophe","email":"","affiliations":[],"preferred":false,"id":446985,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jaumann, R.","contributorId":81232,"corporation":false,"usgs":false,"family":"Jaumann","given":"R.","email":"","affiliations":[],"preferred":false,"id":446989,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stephan, K.","contributorId":8976,"corporation":false,"usgs":true,"family":"Stephan","given":"K.","email":"","affiliations":[],"preferred":false,"id":446978,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Soderblom, L.A. 0000-0002-0917-853X","orcid":"https://orcid.org/0000-0002-0917-853X","contributorId":6139,"corporation":false,"usgs":true,"family":"Soderblom","given":"L.A.","affiliations":[],"preferred":false,"id":446976,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":446977,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":446988,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Baines, K. H.","contributorId":37868,"corporation":false,"usgs":false,"family":"Baines","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":446984,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Nicholson, P. D.","contributorId":54330,"corporation":false,"usgs":false,"family":"Nicholson","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":446987,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70035990,"text":"70035990 - 2011 - Formation pressure testing at the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Operational summary, history matching, and interpretations","interactions":[],"lastModifiedDate":"2021-02-04T17:19:42.215385","indexId":"70035990","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":"Formation pressure testing at the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Operational summary, history matching, and interpretations","docAbstract":"<p id=\"abspara0010\">In February 2007, the U.S. Department of Energy, BP Exploration (Alaska), and the U.S. Geological Survey, collected open-hole pressure-response data, as well as gas and water sample collection, in a gas hydrate reservoir (the BPXA-DOE-USGS Mount Elbert Gas Hydrate Stratigraphic Test Well) using Schlumberger's Modular Dynamics Formation Tester (MDT) wireline tool. Four such MDT tests, ranging from six to twelve hours duration, and including a series of flow, sampling, and shut-in periods of various durations, were conducted. Locations for the testing were selected based on NMR and other log data to assure sufficient isolation from reservoir boundaries and zones of excess free water. Test stages in which pressure was reduced sufficiently to mobilize free water in the formation (yet not cause gas hydrate dissociation) produced readily interpretable pressure build-up profiles. Build-ups following larger drawdowns consistently showed gas-hydrate dissociation and gas release (as confirmed by optical fluid analyzer data), as well as progressive dampening of reservoir pressure build-up during sequential tests at a given MDT test station.</p><p id=\"abspara0015\">History matches of one multi-stage, 12-h test (the C2 test) were accomplished using five different reservoir simulators: CMG-STARS, HydrateResSim, MH21-HYDRES, STOMP-HYD, and TOUGH&nbsp;+&nbsp;HYDRATE. Simulations utilized detailed information collected across the reservoir either obtained or determined from geophysical well logs, including thickness (11.3&nbsp;m, 37 ft.), porosity (35%), hydrate saturation (65%), both mobile and immobile water saturations, intrinsic permeability (1000&nbsp;mD), pore water salinity (5&nbsp;ppt), and formation temperature (3.3–3.9&nbsp;°C). This paper will present the approach and preliminary results of the history-matching efforts, including estimates of initial formation permeability and analyses of the various unique features exhibited by the MDT results.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2010.02.012","issn":"02648172","usgsCitation":"Anderson, B., Hancock, S., Wilson, S., Enger, C., Collett, T.S., Boswell, R., and Hunter, R., 2011, Formation pressure testing at the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Operational summary, history matching, and interpretations: Marine and Petroleum Geology, v. 28, no. 2, p. 478-492, https://doi.org/10.1016/j.marpetgeo.2010.02.012.","productDescription":"15 p.","startPage":"478","endPage":"492","costCenters":[],"links":[{"id":244348,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216477,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2010.02.012"}],"country":"United States","state":"Alaska","otherGeospatial":"The North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -167.080078125,\n              67.20403234340081\n            ],\n            [\n              -140.888671875,\n              67.20403234340081\n            ],\n            [\n              -140.888671875,\n              71.63599288330609\n            ],\n            [\n              -167.080078125,\n              71.63599288330609\n            ],\n            [\n              -167.080078125,\n              67.20403234340081\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a135ae4b0c8380cd54621","contributors":{"authors":[{"text":"Anderson, B.","contributorId":34705,"corporation":false,"usgs":true,"family":"Anderson","given":"B.","affiliations":[],"preferred":false,"id":453503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hancock, S.","contributorId":71742,"corporation":false,"usgs":false,"family":"Hancock","given":"S.","email":"","affiliations":[],"preferred":false,"id":453507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, S.","contributorId":98935,"corporation":false,"usgs":true,"family":"Wilson","given":"S.","affiliations":[],"preferred":false,"id":453509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Enger, C.","contributorId":83762,"corporation":false,"usgs":true,"family":"Enger","given":"C.","email":"","affiliations":[],"preferred":false,"id":453508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"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}],"preferred":true,"id":453506,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boswell, R.","contributorId":35121,"corporation":false,"usgs":true,"family":"Boswell","given":"R.","affiliations":[],"preferred":false,"id":453504,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunter, R.","contributorId":36778,"corporation":false,"usgs":true,"family":"Hunter","given":"R.","affiliations":[],"preferred":false,"id":453505,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70035752,"text":"70035752 - 2011 - Field observations onsSelectivet tidal-stream transport for postlarval and juvenile pink shrimp in florida bay","interactions":[],"lastModifiedDate":"2021-02-10T21:11:49.976243","indexId":"70035752","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2235,"text":"Journal of Crustacean Biology","active":true,"publicationSubtype":{"id":10}},"title":"Field observations onsSelectivet tidal-stream transport for postlarval and juvenile pink shrimp in florida bay","docAbstract":"<p><span>Postlarvae and juveniles of pink shrimp were collected in the summers of 2005 and 2006 at three stations in northwestern Florida Bay, the main nursery ground of this species in South Florida. Collections were made at one- or two-hour intervals during three full moon nights and two new moon nights at depth intervals in the water column. Results of the five collections were consistent with the assumption that postlarvae use a flood-tide transport (FTT) to advance into the estuary by ascending in the water column during the dark-flood tide and resting near the bottom during the ebb tide. Evidence of a FTT were higher numbers of postlarvae per hour collected during the flood tide vs. ebb tide and the large number of postlarvae collected with highest velocity flood tide currents. ANOVA indicated significant differences in the number of postlarvae collected between tidal stages and moon phases, but not among depths. Postlarvae were more abundant during new moon than full moon. We also found different patterns of postlarval distribution between the new and full moon. During the new moon, a large peak of postlarvae occurred coincident with highest current speeds, whereas, with one exception, during the full moon postlarvae were more abundant in the second half of the flood period near the slack tide. In contrast, juveniles exhibited a behavior and migratory pattern opposite to that of postlarvae. ANOVA indicated significant differences between the number of juveniles captured between tidal stages and among depths, but not between moon phases. Juveniles were found almost exclusively near the surface on the ebb tide. Significantly larger juveniles were captured on the dark-ebb rather than on the dark-flood tide during both moon phases, suggesting that older juveniles were leaving the Bay on the ebb tide.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1651/10-3291.1","issn":"02780372","usgsCitation":"Criales, M.M., Robblee, M.B., Browder, J.A., Cardenas, H., and Jackson, T.L., 2011, Field observations onsSelectivet tidal-stream transport for postlarval and juvenile pink shrimp in florida bay: Journal of Crustacean Biology, v. 31, no. 1, p. 26-33, https://doi.org/10.1651/10-3291.1.","productDescription":"8 p.","startPage":"26","endPage":"33","costCenters":[],"links":[{"id":475162,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1651/10-3291.1","text":"Publisher Index Page"},{"id":243918,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216076,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1651/10-3291.1"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.068115234375,\n              24.98107885823501\n            ],\n            [\n              -80.57373046875,\n              24.98107885823501\n            ],\n            [\n              -80.57373046875,\n              25.120419105501256\n            ],\n            [\n              -81.068115234375,\n              25.120419105501256\n            ],\n            [\n              -81.068115234375,\n              24.98107885823501\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0fcce4b0c8380cd53a10","contributors":{"authors":[{"text":"Criales, Maria M.","contributorId":69330,"corporation":false,"usgs":false,"family":"Criales","given":"Maria","email":"","middleInitial":"M.","affiliations":[{"id":12565,"text":"Rosenstiel School of Atomospheric Science, University of Miami","active":true,"usgs":false}],"preferred":false,"id":452193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robblee, Michael B. mike_robblee@usgs.gov","contributorId":3865,"corporation":false,"usgs":true,"family":"Robblee","given":"Michael","email":"mike_robblee@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":452192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Browder, Joan A.","contributorId":7439,"corporation":false,"usgs":true,"family":"Browder","given":"Joan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":452190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cardenas, H.","contributorId":11411,"corporation":false,"usgs":true,"family":"Cardenas","given":"H.","email":"","affiliations":[],"preferred":false,"id":452191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Thomas L.","contributorId":93667,"corporation":false,"usgs":true,"family":"Jackson","given":"Thomas","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":452194,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034361,"text":"70034361 - 2011 - Loss of volatile hydrocarbons from an LNAPL oil source","interactions":[],"lastModifiedDate":"2020-01-14T15:31:19","indexId":"70034361","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Loss of volatile hydrocarbons from an LNAPL oil source","docAbstract":"The light nonaqueous phase liquid (LNAPL) oil pool in an aquifer that resulted from a pipeline spill near Bemidji, Minnesota, was analyzed for volatile hydrocarbons (VHCs) to determine if the composition of the oil remains constant over time. Oil samples were obtained from wells at five locations in the oil pool in an anaerobic part of the glacial outwash aquifer. Samples covering a 21-year period were analyzed for 25 VHCs. Compared to the composition of oil from the pipeline source, VHCs identified in oil from wells sampled in 2008 were 13 to 64% depleted. The magnitude of loss for the VHCs analyzed was toluene ≫ o-xylene, benzene, C<sub>6</sub> and C<sub>10–12</sub>n-alkanes > C<sub>7</sub>–C<sub>9</sub>n-alkanes > m-xylene, cyclohexane, and 1- and 2-methylnaphthalene > 1,2,4-trimethylbenzene and ethylbenzene. Other VHCs including p-xylene, 1,3,5- and 1,2,3-trimethylbenzenes, the tetramethylbenzenes, methyl- and ethyl-cyclohexane, and naphthalene were not depleted during the time of the study. Water–oil and air–water batch equilibration simulations indicate that volatilization and biodegradation is most important for the C<sub>6</sub>–C<sub>9</sub>n-alkanes and cyclohexanes; dissolution and biodegradation is important for most of the other hydrocarbons. Depletion of the hydrocarbons in the oil pool is controlled by: the lack of oxygen and nutrients, differing rates of recharge, and the spatial distribution of oil in the aquifer. The mass loss of these VHCs in the 5 wells is between 1.6 and 7.4% in 29 years or an average annual loss of 0.06–0.26%/year. The present study shows that the composition of LNAPL changes over time and that these changes are spatially variable. This highlights the importance of characterizing the temporal and spatial variabilities of the source term in solute-transport models.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2011.06.006","issn":"01697722","usgsCitation":"Baedecker, M.J., Eganhouse, R., Bekins, B.A., and Delin, G.N., 2011, Loss of volatile hydrocarbons from an LNAPL oil source: Journal of Contaminant Hydrology, v. 126, no. 3-4, p. 140-152, https://doi.org/10.1016/j.jconhyd.2011.06.006.","productDescription":"13 p.","startPage":"140","endPage":"152","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":244785,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Bemidji","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.0373,47.3762 ], [ -95.0373,47.6177 ], [ -94.6844,47.6177 ], [ -94.6844,47.3762 ], [ -95.0373,47.3762 ] ] ] } } ] }","volume":"126","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a49dee4b0c8380cd68956","contributors":{"authors":[{"text":"Baedecker, Mary Jo 0000-0002-4865-1043 mjbaedec@usgs.gov","orcid":"https://orcid.org/0000-0002-4865-1043","contributorId":197793,"corporation":false,"usgs":true,"family":"Baedecker","given":"Mary","email":"mjbaedec@usgs.gov","middleInitial":"Jo","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":779430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eganhouse, Robert P. eganhous@usgs.gov","contributorId":2031,"corporation":false,"usgs":true,"family":"Eganhouse","given":"Robert P.","email":"eganhous@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":779431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":779432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delin, Geoffrey N. 0000-0001-7991-6158 delin@usgs.gov","orcid":"https://orcid.org/0000-0001-7991-6158","contributorId":2610,"corporation":false,"usgs":true,"family":"Delin","given":"Geoffrey","email":"delin@usgs.gov","middleInitial":"N.","affiliations":[{"id":5063,"text":"Central Water Science Field Team","active":true,"usgs":true}],"preferred":true,"id":779433,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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. <sup>230</sup>Th/U ages of 33 surface samples range from 1.3 to 423 thousand years (ka) and the back-calculated <sup>234</sup>U/<sup>238</sup>U 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 <sup>230</sup>Th/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 <sup>238</sup>U daughter isotopes, in contrast with the surface calcrete, where open-system behavior is not evident. Data for 21 subsurface calcrete samples yielded calculable <sup>234</sup>U/<sup>238</sup>U 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 <sup>234</sup>U/<sup>238</sup>U and <sup>230</sup>Th/<sup>238</sup>U ARs reach steady-state values ~ 2 Ma after calcrete formation. Potential effects of open-system behavior on <sup>230</sup>Th/U ages and initial <sup>234</sup>U/<sup>238</sup>U ARs for younger surface calcrete were estimated using data for old subsurface calcrete samples with the <sup>234</sup>U 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":70035430,"text":"70035430 - 2011 - <i>Mysis diluviana</i> population and cohort dynamics in Lake Ontario before and after the establishment of <i>Dreissena</i> spp., <i>Cercopagis pengoi</i>, and <i>Bythotrephes longimanus</i>","interactions":[],"lastModifiedDate":"2012-12-31T15:27:23","indexId":"70035430","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"<i>Mysis diluviana</i> population and cohort dynamics in Lake Ontario before and after the establishment of <i>Dreissena</i> spp., <i>Cercopagis pengoi</i>, and <i>Bythotrephes longimanus</i>","docAbstract":"We investigated population responses of <i>Mysis</i> to ecosystem changes induced by invasion of dreissenids and predatory cladocerans, <i>Cercopagis</i> and <i>Bythotrephes</i>. Lake productivity declined as dreissenids invaded the offshore region. Whole-lake mysid biomass was compared before (early 1990s) and after (2002–2007) the invasion period; it declined 40%–45%. Abundance of young mysids and presence of a summer cohort increased with summer, epilmnetic, nighttime zooplankton biomass (i.e., food biomass index). <i>Cercopagis</i> + <i>Bythotrephes</i> biomass was negatively correlated with this index, implicating them in the mysid decline. Eggs per gravid female increased with autumn, total-water-column zooplankton biomass, reflecting the greater use of hypolimnetic waters by adults. Reproductive success was below replacement during the period 2002–2005. First-year mysid growth rate was maintained while population abundance declined, suggesting selection for individuals that feed effectively at low food concentrations. Mortality rates in the first and second years were dependent on cohort density, indicating that competition for food limited abundance in the first 2 years. Fish predation indices (smelt and alewife combined) were correlated positively with mortality rates and negatively with abundance in the third year. Thus, mysids cannot support as many fish in invaded compared with non-invaded lakes. They may also not be a stable food resource; unusual cohort losses occurred in some years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","publisherLocation":"Ottawa, Ontario","doi":"10.1139/f2011-028","issn":"0706652X","usgsCitation":"Johannsson, O.E., Bowen, K.L., Holeck, K.T., and Walsh, M.G., 2011, <i>Mysis diluviana</i> population and cohort dynamics in Lake Ontario before and after the establishment of <i>Dreissena</i> spp., <i>Cercopagis pengoi</i>, and <i>Bythotrephes longimanus</i>: Canadian Journal of Fisheries and Aquatic Sciences, v. 68, no. 5, p. 795-811, https://doi.org/10.1139/f2011-028.","productDescription":"17 p.","startPage":"795","endPage":"811","onlineOnly":"Y","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":215408,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/f2011-028"},{"id":243211,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada;United States","otherGeospatial":"Lake Ontario","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.0,43.17 ], [ -80.0,44.36 ], [ -76.0,44.36 ], [ -76.0,43.17 ], [ -80.0,43.17 ] ] ] } } ] }","volume":"68","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a60f1e4b0c8380cd71770","contributors":{"authors":[{"text":"Johannsson, Ora E.","contributorId":25527,"corporation":false,"usgs":true,"family":"Johannsson","given":"Ora","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":450623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowen, Kelly L.","contributorId":38382,"corporation":false,"usgs":false,"family":"Bowen","given":"Kelly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":450624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holeck, Kristen T.","contributorId":105549,"corporation":false,"usgs":false,"family":"Holeck","given":"Kristen","email":"","middleInitial":"T.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":450626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Maureen G.","contributorId":92506,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":450625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034373,"text":"70034373 - 2011 - Implementation and modification of a three-dimensional radiation stress formulation for surf zone and rip-current applications","interactions":[],"lastModifiedDate":"2021-04-21T19:47:50.843561","indexId":"70034373","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Implementation and modification of a three-dimensional radiation stress formulation for surf zone and rip-current applications","docAbstract":"<p><span>Regional Ocean Modeling System (ROMS v 3.0), a three-dimensional numerical ocean model, was previously enhanced for shallow water applications by including wave-induced radiation stress forcing provided through coupling to wave propagation models (SWAN, REF/DIF). This enhancement made it suitable for surf zone applications as demonstrated using examples of obliquely incident waves on a planar beach and rip current formation in longshore bar trough morphology (Haas and Warner, 2009). In this contribution, we present an update to the coupled model which implements a wave roller model and also a modified method of the radiation stress term based on Mellor (2008, 2011a,b,in press) that includes a vertical distribution which better simulates non-conservative (i.e., wave breaking) processes and appears to be more appropriate for sigma coordinates in very shallow waters where wave breaking conditions dominate. The improvements of the modified model are shown through simulations of several cases that include: (a) obliquely incident spectral waves on a planar beach; (b) obliquely incident spectral waves on a natural barred beach (DUCK'94 experiment); (c) alongshore variable offshore wave forcing on a planar beach; (d) alongshore varying bathymetry with constant offshore wave forcing; and (e) nearshore barred morphology with rip-channels. Quantitative and qualitative comparisons to previous analytical, numerical, laboratory studies and field measurements show that the modified model replicates surf zone recirculation patterns (onshore drift at the surface and undertow at the bottom) more accurately than previous formulations based on radiation stress (Haas and Warner, 2009). The results of the model and test cases are further explored for identifying the forces operating in rip current development and the potential implication for sediment transport and rip channel development. Also, model analysis showed that rip current strength is higher when waves approach at angles of 5° to 10° in comparison to normally incident waves.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2011.06.009","issn":"03783839","usgsCitation":"Kumar, N., Voulgaris, G., and Warner, J., 2011, Implementation and modification of a three-dimensional radiation stress formulation for surf zone and rip-current applications: Coastal Engineering, v. 58, no. 12, p. 1097-1117, https://doi.org/10.1016/j.coastaleng.2011.06.009.","productDescription":"21 p.","startPage":"1097","endPage":"1117","numberOfPages":"21","ipdsId":"IP-022281","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":244469,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216589,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coastaleng.2011.06.009"}],"volume":"58","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a390be4b0c8380cd617a0","contributors":{"authors":[{"text":"Kumar, N.","contributorId":55227,"corporation":false,"usgs":true,"family":"Kumar","given":"N.","affiliations":[],"preferred":false,"id":445477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voulgaris, G.","contributorId":73701,"corporation":false,"usgs":true,"family":"Voulgaris","given":"G.","affiliations":[],"preferred":false,"id":445478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":445476,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034679,"text":"70034679 - 2011 - Semi-quantitative evaluation of fecal contamination potential by human and ruminant sources using multiple lines of evidence","interactions":[],"lastModifiedDate":"2021-04-13T20:23:18.698557","indexId":"70034679","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Semi-quantitative evaluation of fecal contamination potential by human and ruminant sources using multiple lines of evidence","docAbstract":"<p><span>Protocols for microbial source tracking of fecal contamination generally are able to identify when a source of contamination is present, but thus far have been unable to evaluate what portion of fecal-indicator bacteria (FIB) came from various sources. A mathematical approach to estimate relative amounts of FIB, such as&nbsp;</span><i>Escherichia coli</i><span>, from various sources based on the concentration and distribution of microbial source tracking markers in feces was developed. The approach was tested using dilute fecal suspensions, then applied as part of an analytical suite to a contaminated headwater stream in the Rocky Mountains (Upper Fountain Creek, Colorado). In one single-source fecal suspension, a source that was not present could not be excluded because of incomplete marker specificity; however, human and ruminant sources were detected whenever they were present. In the mixed-feces suspension (pet and human), the minority contributor (human) was detected at a concentration low enough to preclude human contamination as the dominant source of&nbsp;</span><i>E. coli</i><span>&nbsp;to the sample. Without the semi-quantitative approach described, simple detects of human-associated marker in stream samples would have provided inaccurate evidence that human contamination was a major source of&nbsp;</span><i>E. coli</i><span>&nbsp;to the stream. In samples from Upper Fountain Creek the pattern of&nbsp;</span><i>E. coli</i><span>, general and host-associated microbial source tracking markers, nutrients, and wastewater-associated chemical detections—augmented with local observations and land-use patterns—indicated that, contrary to expectations, birds rather than humans or ruminants were the predominant source of fecal contamination to Upper Fountain Creek. This new approach to&nbsp;</span><i>E. coli</i><span>&nbsp;allocation, validated by a controlled study and tested by application in a relatively simple setting, represents a widely applicable step forward in the field of microbial source tracking of fecal contamination.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2011.03.037","issn":"00431354","usgsCitation":"Stoeckel, D.M., Stelzer, E.A., Stogner, and Mau, D.P., 2011, Semi-quantitative evaluation of fecal contamination potential by human and ruminant sources using multiple lines of evidence: Water Research, v. 45, no. 10, p. 3225-3244, https://doi.org/10.1016/j.watres.2011.03.037.","productDescription":"20 p.","startPage":"3225","endPage":"3244","costCenters":[],"links":[{"id":243731,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215896,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2011.03.037"}],"volume":"45","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8d07e4b08c986b318231","contributors":{"authors":[{"text":"Stoeckel, D. M.","contributorId":84855,"corporation":false,"usgs":true,"family":"Stoeckel","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":447012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":447011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stogner 0000-0002-3185-1452 rstogner@usgs.gov","orcid":"https://orcid.org/0000-0002-3185-1452","contributorId":938,"corporation":false,"usgs":true,"family":"Stogner","email":"rstogner@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":447013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mau, David P. dpmau@usgs.gov","contributorId":457,"corporation":false,"usgs":true,"family":"Mau","given":"David","email":"dpmau@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":447010,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034381,"text":"70034381 - 2011 - Gas hydrate saturation from acoustic impedance and resistivity logs in the Shenhu area, south China Sea","interactions":[],"lastModifiedDate":"2021-04-22T12:01:04.212188","indexId":"70034381","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":"Gas hydrate saturation from acoustic impedance and resistivity logs in the Shenhu area, south China Sea","docAbstract":"<p><span>During the China’s first gas hydrate drilling expedition -1 (GMGS-1), gas hydrate was discovered in layers ranging from 10 to 25&nbsp;m above the base of gas hydrate stability zone in the Shenhu area, South China Sea. Water chemistry, electrical resistivity logs, and acoustic impedance were used to estimate gas hydrate saturations. Gas hydrate saturations estimated from the chloride concentrations range from 0 to 43% of the pore space. The higher gas hydrate saturations were present in the depth from 152 to 177&nbsp;m at site SH7 and from 190 to 225&nbsp;m at site SH2, respectively. Gas hydrate saturations estimated from the resistivity using Archie equation have similar trends to those from chloride concentrations. To examine the variability of gas hydrate saturations away from the wells, acoustic impedances calculated from the 3 D seismic data using constrained sparse inversion method were used. Well logs acquired at site SH7 were incorporated into the inversion by establishing a relation between the water-filled porosity, calculated using gas hydrate saturations estimated from the resistivity logs, and the acoustic impedance, calculated from density and velocity logs. Gas hydrate saturations estimated from acoustic impedance of seismic data are ∼10–23% of the pore space and are comparable to those estimated from the well logs. The uncertainties in estimated gas hydrate saturations from seismic acoustic impedances were mainly from uncertainties associated with inverted acoustic impedance, the empirical relation between the water-filled porosities and acoustic impedances, and assumed background resistivity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2011.07.002","issn":"02648172","usgsCitation":"Wang, X., Wu, S., Lee, M., Guo, Y., Yang, S., and Liang, J., 2011, Gas hydrate saturation from acoustic impedance and resistivity logs in the Shenhu area, south China Sea: Marine and Petroleum Geology, v. 28, no. 9, p. 1625-1633, https://doi.org/10.1016/j.marpetgeo.2011.07.002.","productDescription":"9 p.","startPage":"1625","endPage":"1633","costCenters":[],"links":[{"id":244593,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"South China Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              111.62109375,\n              15.728813770533966\n            ],\n            [\n              119.46533203125,\n              15.728813770533966\n            ],\n            [\n              119.46533203125,\n              20.981956742832327\n            ],\n            [\n              111.62109375,\n              20.981956742832327\n            ],\n            [\n              111.62109375,\n              15.728813770533966\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a14d0e4b0c8380cd54b9b","contributors":{"authors":[{"text":"Wang, X.","contributorId":22076,"corporation":false,"usgs":true,"family":"Wang","given":"X.","email":"","affiliations":[],"preferred":false,"id":445519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, S.","contributorId":84128,"corporation":false,"usgs":true,"family":"Wu","given":"S.","email":"","affiliations":[],"preferred":false,"id":445522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, M.","contributorId":32484,"corporation":false,"usgs":true,"family":"Lee","given":"M.","affiliations":[],"preferred":false,"id":445520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guo, Y.","contributorId":11852,"corporation":false,"usgs":true,"family":"Guo","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, S.","contributorId":13588,"corporation":false,"usgs":true,"family":"Yang","given":"S.","email":"","affiliations":[],"preferred":false,"id":445518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liang, J.","contributorId":80069,"corporation":false,"usgs":true,"family":"Liang","given":"J.","email":"","affiliations":[],"preferred":false,"id":445521,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036984,"text":"70036984 - 2011 - Thermal erosion of a permafrost coastline: Improving process-based models using time-lapse photography","interactions":[],"lastModifiedDate":"2012-03-12T17:21:59","indexId":"70036984","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Thermal erosion of a permafrost coastline: Improving process-based models using time-lapse photography","docAbstract":"Coastal erosion rates locally exceeding 30 m y-1 have been documented along Alaska's Beaufort Sea coastline, and a number of studies suggest that these erosion rates have accelerated as a result of climate change. However, a lack of direct observational evidence has limited our progress in quantifying the specific processes that connect climate change to coastal erosion rates in the Arctic. In particular, while longer ice-free periods are likely to lead to both warmer surface waters and longer fetch, the relative roles of thermal and mechanical (wave) erosion in driving coastal retreat have not been comprehensively quantified. We focus on a permafrost coastline in the northern National Petroleum Reserve-Alaska (NPR-A), where coastal erosion rates have averaged 10-15 m y-1 over two years of direct monitoring. We take advantage of these extraordinary rates of coastal erosion to observe and quantify coastal erosion directly via time-lapse photography in combination with meteorological observations. Our observations indicate that the erosion of these bluffs is largely thermally driven, but that surface winds play a crucial role in exposing the frozen bluffs to the radiatively warmed seawater that drives melting of interstitial ice. To first order, erosion in this setting can be modeled using formulations developed to describe iceberg deterioration in the open ocean. These simple models provide a conceptual framework for evaluating how climate-induced changes in thermal and wave energy might influence future erosion rates in this setting.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Arctic, Antarctic, and Alpine Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1657/1938-4246-43.3.474","issn":"15230430","usgsCitation":"Wobus, C., Anderson, R., Overeem, I., Matell, N., Clow, G., and Urban, F., 2011, Thermal erosion of a permafrost coastline: Improving process-based models using time-lapse photography: Arctic, Antarctic, and Alpine Research, v. 43, no. 3, p. 474-484, https://doi.org/10.1657/1938-4246-43.3.474.","startPage":"474","endPage":"484","numberOfPages":"11","costCenters":[],"links":[{"id":475285,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1657/1938-4246-43.3.474","text":"External Repository"},{"id":245808,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217836,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1657/1938-4246-43.3.474"}],"volume":"43","issue":"3","noUsgsAuthors":false,"publicationDate":"2018-01-17","publicationStatus":"PW","scienceBaseUri":"505bb21ee4b08c986b3255ea","contributors":{"authors":[{"text":"Wobus, C.","contributorId":65305,"corporation":false,"usgs":true,"family":"Wobus","given":"C.","email":"","affiliations":[],"preferred":false,"id":458848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, R.","contributorId":104191,"corporation":false,"usgs":false,"family":"Anderson","given":"R.","affiliations":[],"preferred":false,"id":458852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overeem, I.","contributorId":92087,"corporation":false,"usgs":true,"family":"Overeem","given":"I.","affiliations":[],"preferred":false,"id":458850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matell, N.","contributorId":89751,"corporation":false,"usgs":true,"family":"Matell","given":"N.","email":"","affiliations":[],"preferred":false,"id":458849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clow, G.","contributorId":92088,"corporation":false,"usgs":true,"family":"Clow","given":"G.","email":"","affiliations":[],"preferred":false,"id":458851,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Urban, F. 0000-0002-1329-1703","orcid":"https://orcid.org/0000-0002-1329-1703","contributorId":9501,"corporation":false,"usgs":true,"family":"Urban","given":"F.","affiliations":[],"preferred":false,"id":458847,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035844,"text":"70035844 - 2011 - Strong climate and tectonic control on plagioclase weathering in granitic terrain","interactions":[],"lastModifiedDate":"2021-02-09T18:07:02.693697","indexId":"70035844","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Strong climate and tectonic control on plagioclase weathering in granitic terrain","docAbstract":"<p><span>Investigations to understand linkages among climate, erosion and weathering are central to quantifying landscape evolution. We approach these linkages through synthesis of&nbsp;regolith&nbsp;data for granitic terrain compiled with respect to climate,&nbsp;geochemistry, and&nbsp;denudation&nbsp;rates for low sloping upland profiles. Focusing on Na as a proxy for&nbsp;plagioclase&nbsp;weathering, we quantified regolith Na depletion, Na mass loss, and the relative partitioning of denudation to physical and chemical contributions. The depth and magnitude of regolith Na depletion increased continuously with increasing water availability, except for locations with mean annual temperature &lt;</span><span>&nbsp;</span><span>5</span><span>&nbsp;</span><span>°C that exhibited little Na depletion, and locations with physical erosion rates &lt;</span><span>&nbsp;</span><span>20</span><span>&nbsp;</span><span>g</span><span>&nbsp;</span><span>m</span><sup>−&nbsp;2</sup><span>&nbsp;</span><span>yr</span><sup>−&nbsp;1</sup><span>&nbsp;that exhibited deep and complete regolith Na depletion. Surface Na depletion also tended to decrease with increasing physical erosion. Depth-integrated Na mass loss and regolith depth were both three orders of magnitude greater in the fully depleted, low erosion rate sites relative to other locations. These locations exhibited strong erosion-limitation of Na chemical weathering rates based on correlation of Na chemical weathering rate to total Na denudation. Sodium weathering rates in cool locations with positive annual water balance were strongly correlated to total Na denudation and precipitation, and exhibited an average apparent activation energy (</span><i>Ea</i><span>) of 69</span><span>&nbsp;</span><span>kJ</span><span>&nbsp;</span><span>mol</span><sup>−&nbsp;1</sup><span>&nbsp;Na. The remaining water-limited locations exhibited kinetic limitation of Na weathering rates with an&nbsp;</span><i>Ea</i><span>&nbsp;of 136</span><span>&nbsp;</span><span>kJ</span><span>&nbsp;</span><span>mol</span><sup>−&nbsp;1</sup><span>&nbsp;Na, roughly equivalent to the sum of laboratory measures of&nbsp;</span><i>Ea</i><span>&nbsp;and dissolution reaction enthalpy for&nbsp;albite. Water availability is suggested as the dominant factor limiting rate kinetics in the water-limited systems. Together, these data demonstrate marked transitions and&nbsp;nonlinearity&nbsp;in how climate and tectonics correlate to plagioclase chemical weathering and Na mass loss.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2010.11.037","issn":"0012821X","usgsCitation":"Rasmussen, C., Brantley, S., Richter, D., Blum, A.E., Dixon, J., and White, A.F., 2011, Strong climate and tectonic control on plagioclase weathering in granitic terrain: Earth and Planetary Science Letters, v. 301, no. 3-4, p. 521-530, https://doi.org/10.1016/j.epsl.2010.11.037.","productDescription":"10 p.","startPage":"521","endPage":"530","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":243895,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216054,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2010.11.037"}],"volume":"301","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9b82e4b08c986b31cf25","contributors":{"authors":[{"text":"Rasmussen, C.","contributorId":66392,"corporation":false,"usgs":true,"family":"Rasmussen","given":"C.","email":"","affiliations":[],"preferred":false,"id":452709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brantley, S.","contributorId":28451,"corporation":false,"usgs":true,"family":"Brantley","given":"S.","affiliations":[],"preferred":false,"id":452705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richter, D.D.B.","contributorId":50752,"corporation":false,"usgs":true,"family":"Richter","given":"D.D.B.","email":"","affiliations":[],"preferred":false,"id":452707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blum, Alex E. aeblum@usgs.gov","contributorId":2845,"corporation":false,"usgs":true,"family":"Blum","given":"Alex","email":"aeblum@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":452708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dixon, J.","contributorId":98132,"corporation":false,"usgs":true,"family":"Dixon","given":"J.","affiliations":[],"preferred":false,"id":452710,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Arthur F. afwhite@usgs.gov","contributorId":3718,"corporation":false,"usgs":true,"family":"White","given":"Arthur","email":"afwhite@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":452706,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035840,"text":"70035840 - 2011 - Improving national-scale invasion maps: Tamarisk in the western United States","interactions":[],"lastModifiedDate":"2021-02-09T19:16:51.017242","indexId":"70035840","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Improving national-scale invasion maps: Tamarisk in the western United States","docAbstract":"<p id=\"ID0EF\" class=\"first\">New invasions, better field data, and novel spatial-modeling techniques often drive the need to revisit previous maps and models of invasive species. Such is the case with the at least 10 species of<span>&nbsp;</span><i>Tamarix</i>, which are invading riparian systems in the western United States and expanding their range throughout North America. In 2006, we developed a National Tamarisk Map by using a compilation of presence and absence locations with remotely sensed data and statistical modeling techniques. Since the publication of that work, our database of<span>&nbsp;</span><i>Tamarix</i><span>&nbsp;</span>distributions has grown significantly.</p><p id=\"ID0EL\">Using the updated database of species occurrence, new predictor variables, and the maximum entropy (Maxent) model, we have revised our potential<span>&nbsp;</span><i>Tamarix</i><span>&nbsp;</span>distribution map for the western United States. Distance-to-water was the strongest predictor in the model (58.1%), while mean temperature of the warmest quarter was the second best predictor (18.4%). Model validation, averaged from 25 model iterations, indicated that our analysis had strong predictive performance (AUC = 0.93) and that the extent of<span>&nbsp;</span><i>Tamarix</i><span>&nbsp;</span>distributions is much greater than previously thought. The southwestern United States had the greatest suitable habitat, and this result differed from the 2006 model. Our work highlights the utility of iterative modeling for invasive species habitat modeling as new information becomes available.</p>","language":"English","publisher":"BioOne","doi":"10.3398/064.071.0204","issn":"15270904","usgsCitation":"Jarnevich, C.S., Evangelista, P., Stohlgren, T.J., and Morisette, J.T., 2011, Improving national-scale invasion maps: Tamarisk in the western United States: Western North American Naturalist, v. 71, no. 2, p. 164-175, https://doi.org/10.3398/064.071.0204.","productDescription":"12 p.","startPage":"164","endPage":"175","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487310,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol71/iss2/4","text":"External Repository"},{"id":244338,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216467,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3398/064.071.0204"}],"country":"United States","otherGeospatial":"Western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.22265625000001,\n              38.13455657705411\n            ],\n            [\n              -119.35546875000001,\n              33.7243396617476\n            ],\n            [\n              -116.54296874999999,\n              32.69486597787505\n            ],\n            [\n              -110.0390625,\n              31.80289258670676\n            ],\n            [\n              -105.64453124999999,\n              31.50362930577303\n            ],\n            [\n              -103.18359375,\n              29.22889003019423\n            ],\n            [\n              -100.1953125,\n              30.29701788337205\n            ],\n            [\n              -99.140625,\n              40.44694705960048\n            ],\n            [\n              -100.37109375,\n              49.15296965617042\n            ],\n            [\n              -122.87109375,\n              49.15296965617042\n            ],\n            [\n              -125.68359374999999,\n              48.10743118848039\n            ],\n            [\n              -123.92578125,\n              45.460130637921004\n            ],\n            [\n              -125.33203125,\n              42.032974332441405\n            ],\n            [\n              -123.22265625000001,\n              38.13455657705411\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"71","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3977e4b0c8380cd61922","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":452687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evangelista, P.","contributorId":21903,"corporation":false,"usgs":true,"family":"Evangelista","given":"P.","email":"","affiliations":[],"preferred":false,"id":452686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":452685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":452688,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035837,"text":"70035837 - 2011 - Monitoring the dynamics of an invasive emergent macrophyte community using operational remote sensing data","interactions":[],"lastModifiedDate":"2017-04-06T12:22:24","indexId":"70035837","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring the dynamics of an invasive emergent macrophyte community using operational remote sensing data","docAbstract":"<p><i class=\"EmphasisTypeItalic \">Potamogeton crispus</i><span> L. (curly pondweed) is a cosmopolitan aquatic macrophyte considered invasive in North America and elsewhere. Its range is expanding and, on individual water bodies, its coverage can be dynamic both within and among years. In this study, we evaluate the use of free and low-cost satellite remote sensing data to monitor a problematic emergent macrophyte community dominated by </span><i class=\"EmphasisTypeItalic \">P. crispus</i><span>. Between 2000 and 2006, we acquired eight satellite images of 24,000-ha Lake Sharpe, South Dakota (USA). During one of the dates for which satellite imagery was acquired, we sampled the lake for </span><i class=\"EmphasisTypeItalic \">P. crispus</i><span> and other emergent macrophytes using GPS and photography for documentation. We used cluster analysis to assist in classification of the satellite imagery and independently validated results using the field data. Resulting estimates of emergent macrophyte coverage ranged from less than 20&nbsp;ha in 2002 to 245&nbsp;ha in 2004. Accuracy assessment indicated 82% of image pixels were correctly classified, with errors being primarily due to failure to identify emergent macrophytes. These results emphasize the dynamic nature of </span><i class=\"EmphasisTypeItalic \">P. crispus</i><span>-dominated macrophyte communities and show how they can be effectively monitored over large areas using low-cost remote sensing imagery. While results may vary in other systems depending on water quality and local flora, such an approach could be applied elsewhere and for a variety of macrophyte communities.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-010-0537-8","issn":"00188158","usgsCitation":"Albright, T.P., and Ode, D., 2011, Monitoring the dynamics of an invasive emergent macrophyte community using operational remote sensing data: Hydrobiologia, v. 661, no. 1, p. 469-474, https://doi.org/10.1007/s10750-010-0537-8.","productDescription":"6 p.","startPage":"469","endPage":"474","numberOfPages":"6","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244277,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216408,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-010-0537-8"}],"volume":"661","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-11-16","publicationStatus":"PW","scienceBaseUri":"505a5deae4b0c8380cd706a1","contributors":{"authors":[{"text":"Albright, Thomas P.","contributorId":78114,"corporation":false,"usgs":true,"family":"Albright","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":452671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ode, D.J.","contributorId":100643,"corporation":false,"usgs":true,"family":"Ode","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":452672,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036284,"text":"70036284 - 2011 - Status and distribution of the Kittlitz's murrelet Brachyramphus brevirostris in Kenai Fjords, Alaska","interactions":[],"lastModifiedDate":"2018-04-04T11:21:01","indexId":"70036284","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"title":"Status and distribution of the Kittlitz's murrelet Brachyramphus brevirostris in Kenai Fjords, Alaska","docAbstract":"The Kittlitz's Murrelet Brachyramphus brevirostris is a candidate species for listing under the US Endangered Species Act because of its apparent declines within core population areas of coastal Alaska. During the summers of 2006-2008, we conducted surveys in marine waters adjacent to Kenai Fjords National Park, Alaska, to estimate the current population size of Kittlitz's and Marbled murrelets B. marmoratus and examine seasonal variability in distribution within coastal fjords. We also evaluated historical data to estimate trend. Based on an average of point estimates, we find the recent population (95% CI) of Kittlitz's Murrelet to be 716 (353-1080) individuals, that of Marbled Murrelet to be 6690 (5427-7953) individuals, and all Brachyramphus murrelets combined to number 8186 (6978-9393) birds. Within-season density estimates showed Kittlitz's Murrelets generally increased between June and July, but dispersed rapidly by August, while Marbled Murrelets generally increased throughout the summer. Trends in Kittlitz's and Marbled murrelet populations were difficult to assess with confidence. Methods for counting or sampling murrelets varied in early decades of study, while in later years there is uncertainty due to highly variable counts among years, which may be due in part to timing of surveys relative to the spring bloom in coastal waters of the Gulf of Alaska.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"10183337","usgsCitation":"Arimitsu, M.L., Piatt, J.F., Romano, M.D., and van Pelt, T.I., 2011, Status and distribution of the Kittlitz's murrelet Brachyramphus brevirostris in Kenai Fjords, Alaska: Marine Ornithology: Journal of Seabird Research and Conservation, v. 39, no. 1, p. 13-22.","startPage":"13","endPage":"22","numberOfPages":"10","costCenters":[],"links":[{"id":246248,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9781e4b08c986b31bae1","contributors":{"authors":[{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":455261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":455263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romano, Marc D.","contributorId":73528,"corporation":false,"usgs":true,"family":"Romano","given":"Marc","email":"","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":455262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Pelt, Thomas I.","contributorId":13392,"corporation":false,"usgs":true,"family":"van Pelt","given":"Thomas","email":"","middleInitial":"I.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":455260,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036702,"text":"70036702 - 2011 - Efficacy of monitoring and empirical predictive modeling at improving public health protection at Chicago beaches","interactions":[],"lastModifiedDate":"2012-12-30T20:38:21","indexId":"70036702","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of monitoring and empirical predictive modeling at improving public health protection at Chicago beaches","docAbstract":"Efforts to improve public health protection in recreational swimming waters have focused on obtaining real-time estimates of water quality. Current monitoring techniques rely on the time-intensive culturing of fecal indicator bacteria (FIB) from water samples, but rapidly changing FIB concentrations result in management errors that lead to the public being exposed to high FIB concentrations (type II error) or beaches being closed despite acceptable water quality (type I error). Empirical predictive models may provide a rapid solution, but their effectiveness at improving health protection has not been adequately assessed. We sought to determine if emerging monitoring approaches could effectively reduce risk of illness exposure by minimizing management errors. We examined four monitoring approaches (inactive, current protocol, a single predictive model for all beaches, and individual models for each beach) with increasing refinement at 14 Chicago beaches using historical monitoring and hydrometeorological data and compared management outcomes using different standards for decision-making. Predictability (R<sup>2</sup>) of FIB concentration improved with model refinement at all beaches but one. Predictive models did not always reduce the number of management errors and therefore the overall illness burden. Use of a Chicago-specific single-sample standard-rather than the default 235 <i>E. coli</i> CFU/100 ml widely used-together with predictive modeling resulted in the greatest number of open beach days without any increase in public health risk. These results emphasize that emerging monitoring approaches such as empirical models are not equally applicable at all beaches, and combining monitoring approaches may expand beach access.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.watres.2010.12.010","issn":"00431354","usgsCitation":"Nevers, M.B., and Whitman, R.L., 2011, Efficacy of monitoring and empirical predictive modeling at improving public health protection at Chicago beaches: Water Research, v. 45, no. 4, p. 1659-1668, https://doi.org/10.1016/j.watres.2010.12.010.","productDescription":"10 p.","startPage":"1659","endPage":"1668","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":217564,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2010.12.010"},{"id":245517,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0861e4b0c8380cd51ac9","contributors":{"authors":[{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":457433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":457432,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036668,"text":"70036668 - 2011 - Rating curve estimation of nutrient loads in Iowa rivers","interactions":[],"lastModifiedDate":"2020-12-29T17:00:30.039285","indexId":"70036668","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":"Rating curve estimation of nutrient loads in Iowa rivers","docAbstract":"<p><span>Accurate estimation of nutrient loads in rivers and streams is critical for many applications including determination of sources of nutrient loads in watersheds, evaluating long-term trends in loads, and estimating loading to downstream waterbodies. Since in many cases nutrient concentrations are measured on a weekly or monthly frequency, there is a need to estimate concentration and loads during periods when no data is available. The objectives of this study were to: (i) document the performance of a multiple regression model to predict loads of nitrate and total phosphorus (TP) in Iowa rivers and streams; (ii) determine whether there is any systematic bias in the load prediction estimates for nitrate and TP; and (iii) evaluate&nbsp;streamflow&nbsp;and concentration factors that could affect the load prediction efficiency. A commonly cited rating curve regression is utilized to estimate riverine nitrate and TP loads for rivers in Iowa with watershed areas ranging from 17.4 to over 34,600</span><span>&nbsp;</span><span>km</span><sup>2</sup><span>. Forty-nine nitrate and 44 TP datasets each comprising 5–22</span><span>&nbsp;</span><span>years of approximately weekly to monthly concentrations were examined. Three nitrate data sets had sample collection frequencies averaging about three samples per week. The accuracy and precision of annual and long term riverine load prediction was assessed by direct comparison of rating curve load predictions with observed daily loads. Significant positive bias of annual and long term nitrate loads was detected. Long term rating curve nitrate load predictions exceeded observed loads by 25% or more at 33% of the 49 measurement sites. No bias was found for TP load prediction although 15% of the 44 cases either underestimated or overestimate observed long-term loads by more than 25%. The rating curve was found to poorly characterize nitrate and phosphorus variation in some rivers.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2010.11.006","issn":"00221694","usgsCitation":"Stenback, G., Crumpton, W., Schilling, K.E., and Helmers, M., 2011, Rating curve estimation of nutrient loads in Iowa rivers: Journal of Hydrology, v. 396, no. 1-2, p. 158-169, https://doi.org/10.1016/j.jhydrol.2010.11.006.","productDescription":"12 p.","startPage":"158","endPage":"169","costCenters":[],"links":[{"id":245483,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217530,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2010.11.006"}],"country":"United States","state":"Iowa","otherGeospatial":"Iowa River 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E.","contributorId":61982,"corporation":false,"usgs":true,"family":"Schilling","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":457245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helmers, M.J.","contributorId":89380,"corporation":false,"usgs":true,"family":"Helmers","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":457246,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037017,"text":"70037017 - 2011 - The secret to successful solute-transport modeling","interactions":[],"lastModifiedDate":"2020-01-14T10:33:01","indexId":"70037017","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"The secret to successful solute-transport modeling","docAbstract":"Modeling subsurface solute transport is difficult—more so than modeling heads and flows. The classical governing equation does not always adequately represent what we see at the field scale. In such cases, commonly used numerical models are solving the wrong equation. Also, the transport equation is hyperbolic where advection is dominant, and parabolic where hydrodynamic dispersion is dominant. No single numerical method works well for all conditions, and for any given complex field problem, where seepage velocity is highly variable, no one method will be optimal everywhere. Although we normally expect a numerically accurate solution to the governing groundwater-flow equation, errors in concentrations from numerical dispersion and/or oscillations may be large in some cases. The accuracy and efficiency of the numerical solution to the solute-transport equation are more sensitive to the numerical method chosen than for typical groundwater-flow problems. However, numerical errors can be kept within acceptable limits if sufficient computational effort is expended. But impractically long\nsimulation times may promote a tendency to ignore or accept numerical errors. One approach to effective solutetransport modeling is to keep the model relatively simple and use it to test and improve conceptual understanding of the system and the problem at hand. It should not be expected that all concentrations observed in the field can be reproduced. Given a knowledgeable analyst, a reasonable description of a hydrogeologic framework, and the\navailability of solute-concentration data, the secret to successful solute-transport modeling may simply be to lower expectations.","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2010.00764.x","issn":"0017467X","usgsCitation":"Konikow, L.F., 2011, The secret to successful solute-transport modeling: Ground Water, v. 49, no. 2, p. 144-159, https://doi.org/10.1111/j.1745-6584.2010.00764.x.","productDescription":"16 p.","startPage":"144","endPage":"159","numberOfPages":"16","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":245365,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-10-29","publicationStatus":"PW","scienceBaseUri":"505ba8e3e4b08c986b321f00","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":458985,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70036697,"text":"70036697 - 2011 - Magmatic-vapor expansion and the formation of high-sulfidation gold deposits: Structural controls on hydrothermal alteration and ore mineralization","interactions":[],"lastModifiedDate":"2017-11-20T13:26:04","indexId":"70036697","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Magmatic-vapor expansion and the formation of high-sulfidation gold deposits: Structural controls on hydrothermal alteration and ore mineralization","docAbstract":"<p id=\"sp0065\">High-sulfidation copper–gold lode deposits such as Chinkuashih, Taiwan, Lepanto, Philippines, and Goldfield, Nevada, formed within 1500&nbsp;m of the paleosurface in volcanic terranes. All underwent an early stage of extensive advanced argillic silica–alunite alteration followed by an abrupt change to spatially much more restricted stages of fracture-controlled sulfide–sulfosalt mineral assemblages and gold–silver mineralization. The alteration as well as ore mineralization stages of these deposits were controlled by the dynamics and history of syn-hydrothermal faulting.</p><p id=\"sp0070\">At the Sulfate Stage, aggressive advanced argillic alteration and silicification were consequent on the<span>&nbsp;</span><i>in situ</i><span>&nbsp;</span>formation of acidic condensate from magmatic vapor as it expanded through secondary fracture networks alongside active faults. The reduction of permeability at this stage due to alteration decreased fluid flow to the surface, and progressively developed a barrier between magmatic-vapor expansion constrained by the active faults and peripheral hydrothermal activity dominated by hot-water flow. In conjunction with the increased rock strength resulting from alteration, subsequent fault-slip inversion in response to an increase in compressional stress generated new, highly permeable fractures localized by the embrittled, altered rock. The new fractures focused magmatic-vapor expansion with much lower heat loss so that condensation occurred. Sulfide Stage sulfosalt, sulfide, and gold–silver deposition then resulted from destabilization of vapor phase metal species due to vapor decompression through the new fracture array. The switch from sulfate to sulfide assemblages is, therefore, a logical consequence of changes in structural permeability due to the coupling of alteration and fracture dynamics rather than to changes in the chemistry of the fluid phase at its magmatic source.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2010.11.004","issn":"01691368","usgsCitation":"Berger, B.R., and Henley, R.W., 2011, Magmatic-vapor expansion and the formation of high-sulfidation gold deposits: Structural controls on hydrothermal alteration and ore mineralization: Ore Geology Reviews, v. 39, no. 1-2, p. 75-90, https://doi.org/10.1016/j.oregeorev.2010.11.004.","productDescription":"16 p.","startPage":"75","endPage":"90","numberOfPages":"16","ipdsId":"IP-018409","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":475301,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2010.11.004","text":"Publisher Index Page"},{"id":245428,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217477,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.oregeorev.2010.11.004"}],"volume":"39","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4b52e4b0c8380cd69466","contributors":{"authors":[{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":457416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henley, Richard W.","contributorId":107193,"corporation":false,"usgs":true,"family":"Henley","given":"Richard","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":457415,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035272,"text":"70035272 - 2011 - Near-field hazard assessment of March 11, 2011 Japan Tsunami sources inferred from different methods","interactions":[],"lastModifiedDate":"2021-03-08T12:35:24.696834","indexId":"70035272","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Near-field hazard assessment of March 11, 2011 Japan Tsunami sources inferred from different methods","docAbstract":"<p><span>Tsunami source is the origin of the subsequent transoceanic water waves, and thus the most critical component in modern tsunami forecast methodology. Although impractical to be quantified directly, a tsunami source can be estimated by different methods based on a variety of measurements provided by deep-ocean tsunameters, seismometers, GPS, and other advanced instruments, some in real time, some in post real-time. Here we assess these different sources of the devastating March 11, 2011 Japan tsunami by model-data comparison for generation, propagation and inundation in the near field of Japan. This study provides a comparative study to further understand the advantages and shortcomings of different methods that may be potentially used in real-time warning and forecast of tsunami hazards, especially in the near field. The model study also highlights the critical role of deep-ocean tsunami measurements for high-quality tsunami forecast, and its combination with land GPS measurements may lead to better understanding of both the earthquake mechanisms and tsunami generation process.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"OCEANS'11 - MTS/IEEE Kona, Program Book","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"MTS/IEEE Kona Conference, OCEANS'11","conferenceDate":"September 19-22, 2011","conferenceLocation":"Kona, HI","language":"English","publisher":"IEEE","doi":"10.23919/OCEANS.2011.6107294","isbn":"9781457714276","usgsCitation":"Wei, Y., Titov, V., Newman, A., Hayes, G., Tang, L., and Chamberlin, C., 2011, Near-field hazard assessment of March 11, 2011 Japan Tsunami sources inferred from different methods, <i>in</i> OCEANS'11 - MTS/IEEE Kona, Program Book, Kona, HI, September 19-22, 2011, 9 p., https://doi.org/10.23919/OCEANS.2011.6107294.","productDescription":"9 p.","costCenters":[],"links":[{"id":243070,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[134.63843,34.14923],[134.76638,33.80633],[134.20342,33.20118],[133.79295,33.52199],[133.28027,33.28957],[133.01486,32.70457],[132.36311,32.98938],[132.37118,33.46364],[132.92437,34.0603],[133.49297,33.94462],[133.90411,34.36493],[134.63843,34.14923]]],[[[140.97639,37.14207],[140.59977,36.34398],[140.77407,35.84288],[140.25328,35.13811],[138.97553,34.6676],[137.2176,34.60629],[135.79298,33.46481],[135.12098,33.84907],[135.07943,34.59654],[133.34032,34.37594],[132.15677,33.90493],[130.98614,33.88576],[132.00004,33.14999],[131.33279,31.45035],[130.68632,31.02958],[130.20242,31.41824],[130.44768,32.31947],[129.81469,32.61031],[129.40846,33.29606],[130.35394,33.60415],[130.87845,34.23274],[131.88423,34.74971],[132.61767,35.43339],[134.6083,35.73162],[135.67754,35.52713],[136.72383,37.30498],[137.39061,36.82739],[138.8576,37.82748],[139.4264,38.21596],[140.05479,39.43881],[139.88338,40.56331],[140.30578,41.19501],[141.36897,41.37856],[141.91426,39.99162],[141.8846,39.18086],[140.95949,38.174],[140.97639,37.14207]]],[[[143.91016,44.1741],[144.61343,43.96088],[145.32083,44.38473],[145.54314,43.26209],[144.05966,42.98836],[143.18385,41.99521],[141.61149,42.67879],[141.06729,41.58459],[139.95511,41.56956],[139.81754,42.56376],[140.31209,43.33327],[141.38055,43.38882],[141.67195,44.77213],[141.96764,45.55148],[143.14287,44.51036],[143.91016,44.1741]]]]},\"properties\":{\"name\":\"Japan\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a63dee4b0c8380cd72749","contributors":{"authors":[{"text":"Wei, Y.","contributorId":9502,"corporation":false,"usgs":true,"family":"Wei","given":"Y.","email":"","affiliations":[],"preferred":false,"id":449971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Titov, V.V.","contributorId":48752,"corporation":false,"usgs":true,"family":"Titov","given":"V.V.","email":"","affiliations":[],"preferred":false,"id":449973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newman, A.","contributorId":32791,"corporation":false,"usgs":true,"family":"Newman","given":"A.","affiliations":[],"preferred":false,"id":449972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, G.","contributorId":81349,"corporation":false,"usgs":true,"family":"Hayes","given":"G.","affiliations":[],"preferred":false,"id":449975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Liujuan","contributorId":34045,"corporation":false,"usgs":true,"family":"Tang","given":"Liujuan","email":"","affiliations":[],"preferred":false,"id":449976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chamberlin, C.","contributorId":76197,"corporation":false,"usgs":true,"family":"Chamberlin","given":"C.","email":"","affiliations":[],"preferred":false,"id":449974,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}