{"pageNumber":"779","pageRowStart":"19450","pageSize":"25","recordCount":40764,"records":[{"id":70034340,"text":"70034340 - 2011 - Native and exotic plants of fragments of sagebrush steppe produced by geomorphic processes versus land use","interactions":[],"lastModifiedDate":"2021-04-23T12:26:41.741319","indexId":"70034340","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Native and exotic plants of fragments of sagebrush steppe produced by geomorphic processes versus land use","docAbstract":"<p><span>Habitat fragmentation and invasion by exotic species are regarded as major threats to the biodiversity of many ecosystems. We surveyed the plant communities of two types of remnant sagebrush-steppe fragments from nearby areas on the Snake River Plain of southeastern Idaho, USA. One type resulted from land use (conversion to dryland agriculture; hereafter AG Islands) and the other from geomorphic processes (Holocene volcanism; hereafter kipukas). We assessed two predictions for the variation in native plant species richness of these fragments, using structural equation models (SEM). First, we predicted that the species richness of native plants would follow the MacArthur–Wilson (M–W) hypothesis of island biogeography, as often is expected for the communities of habitat fragments. Second, we predicted a negative relationship between native and exotic plants, as would be expected if exotic plants are decreasing the diversity of native plants. Finally, we assessed whether exotic species were more strongly associated with the fragments embedded in the agricultural landscape, as would be expected if agriculture had facilitated the introduction and naturalization of non-native species, and whether the communities of the two types of fragments were distinct. Species richness of native plants was not strongly correlated with M–W characteristics for either the AG Islands or the **kipukas. The AG Islands had more species and higher cover of exotics than the kipukas, and exotic plants were good predictors of native plant species richness. Our results support the hypothesis that proximity to agriculture can increase the diversity and abundance of exotic plants in native habitat. In combination with other information, the results also suggest that agriculture and exotic species have caused loss of native diversity and reorganization of the sagebrush-steppe plant community.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11258-011-9930-2","issn":"13850237","usgsCitation":"Huntly, N., Bangert, R., and Hanser, S., 2011, Native and exotic plants of fragments of sagebrush steppe produced by geomorphic processes versus land use: Plant Ecology, v. 212, no. 9, p. 1549-1561, https://doi.org/10.1007/s11258-011-9930-2.","productDescription":"13 p.","startPage":"1549","endPage":"1561","costCenters":[],"links":[{"id":244496,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Snake River Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.02636718749999,\n              44.512176171071054\n            ],\n            [\n              -117.0703125,\n              43.46886761482925\n            ],\n            [\n              -116.54296874999999,\n              42.98857645832184\n            ],\n            [\n              -115.224609375,\n              42.52069952914966\n            ],\n            [\n              -113.6865234375,\n              42.47209690919285\n            ],\n            [\n              -112.236328125,\n              42.79540065303723\n            ],\n            [\n              -111.22558593749999,\n              43.30919109985686\n            ],\n            [\n              -110.9619140625,\n              44.29240108529005\n            ],\n            [\n              -112.763671875,\n              44.32384807250689\n            ],\n            [\n              -113.5986328125,\n              43.8186748554532\n            ],\n            [\n              -114.67529296874999,\n              43.18114705939968\n            ],\n            [\n              -115.8837890625,\n              43.70759350405294\n            ],\n            [\n              -117.02636718749999,\n              44.512176171071054\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"212","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-05-12","publicationStatus":"PW","scienceBaseUri":"505a62bee4b0c8380cd720aa","contributors":{"authors":[{"text":"Huntly, N.","contributorId":39611,"corporation":false,"usgs":true,"family":"Huntly","given":"N.","affiliations":[],"preferred":false,"id":445319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bangert, R.","contributorId":7938,"corporation":false,"usgs":true,"family":"Bangert","given":"R.","email":"","affiliations":[],"preferred":false,"id":445317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanser, S.E.","contributorId":13823,"corporation":false,"usgs":true,"family":"Hanser","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":445318,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032514,"text":"70032514 - 2011 - Pseudospectral modeling and dispersion analysis of Rayleigh waves in viscoelastic media","interactions":[],"lastModifiedDate":"2012-03-12T17:21:21","indexId":"70032514","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3418,"text":"Soil Dynamics and Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Pseudospectral modeling and dispersion analysis of Rayleigh waves in viscoelastic media","docAbstract":"Multichannel Analysis of Surface Waves (MASW) is one of the most widely used techniques in environmental and engineering geophysics to determine shear-wave velocities and dynamic properties, which is based on the elastic layered system theory. Wave propagation in the Earth, however, has been recognized as viscoelastic and the propagation of Rayleigh waves presents substantial differences in viscoelastic media as compared with elastic media. Therefore, it is necessary to carry out numerical simulation and dispersion analysis of Rayleigh waves in viscoelastic media to better understand Rayleigh-wave behaviors in the real world. We apply a pseudospectral method to the calculation of the spatial derivatives using a Chebyshev difference operator in the vertical direction and a Fourier difference operator in the horizontal direction based on the velocity-stress elastodynamic equations and relations of linear viscoelastic solids. This approach stretches the spatial discrete grid to have a minimum grid size near the free surface so that high accuracy and resolution are achieved at the free surface, which allows an effective incorporation of the free surface boundary conditions since the Chebyshev method is nonperiodic. We first use an elastic homogeneous half-space model to demonstrate the accuracy of the pseudospectral method comparing with the analytical solution, and verify the correctness of the numerical modeling results for a viscoelastic half-space comparing the phase velocities of Rayleigh wave between the theoretical values and the dispersive image generated by high-resolution linear Radon transform. We then simulate three types of two-layer models to analyze dispersive-energy characteristics for near-surface applications. Results demonstrate that the phase velocity of Rayleigh waves in viscoelastic media is relatively higher than in elastic media and the fundamental mode increases by 10-16% when the frequency is above 10. Hz due to the velocity dispersion of P and S waves. ?? 2011 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Soil Dynamics and Earthquake Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.soildyn.2011.05.004","issn":"02677261","usgsCitation":"Zhang, K., Luo, Y., Xia, J., and Chen, C., 2011, Pseudospectral modeling and dispersion analysis of Rayleigh waves in viscoelastic media: Soil Dynamics and Earthquake Engineering, v. 31, no. 10, p. 1332-1337, https://doi.org/10.1016/j.soildyn.2011.05.004.","startPage":"1332","endPage":"1337","numberOfPages":"6","costCenters":[],"links":[{"id":213723,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.soildyn.2011.05.004"},{"id":241378,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8fc5e4b0c8380cd7f961","contributors":{"authors":[{"text":"Zhang, K.","contributorId":71724,"corporation":false,"usgs":true,"family":"Zhang","given":"K.","email":"","affiliations":[],"preferred":false,"id":436574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luo, Y.","contributorId":28417,"corporation":false,"usgs":true,"family":"Luo","given":"Y.","email":"","affiliations":[],"preferred":false,"id":436572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xia, J.","contributorId":63513,"corporation":false,"usgs":true,"family":"Xia","given":"J.","email":"","affiliations":[],"preferred":false,"id":436573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, C.","contributorId":98490,"corporation":false,"usgs":true,"family":"Chen","given":"C.","email":"","affiliations":[],"preferred":false,"id":436575,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034349,"text":"70034349 - 2011 - The role of model dynamics in ensemble Kalman filter performance for chaotic systems","interactions":[],"lastModifiedDate":"2021-04-22T12:22:03.942129","indexId":"70034349","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3527,"text":"Tellus, Series A: Dynamic Meteorology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"The role of model dynamics in ensemble Kalman filter performance for chaotic systems","docAbstract":"<p><span>The ensemble Kalman filter (EnKF) is susceptible to losing track of observations, or ‘diverging’, when applied to large chaotic systems such as atmospheric and ocean models. Past studies have demonstrated the adverse impact of sampling error during the filter’s update step. We examine how system dynamics affect EnKF performance, and whether the absence of certain dynamic features in the ensemble may lead to divergence. The EnKF is applied to a simple chaotic model, and ensembles are checked against singular vectors of the tangent linear model, corresponding to short-term growth and Lyapunov vectors, corresponding to long-term growth. Results show that the ensemble strongly aligns itself with the subspace spanned by unstable Lyapunov vectors. Furthermore, the filter avoids divergence only if the full linearized long-term unstable subspace is spanned. However, short-term dynamics also become important as nonlinearity in the system increases. Non-linear movement prevents errors in the long-term stable subspace from decaying indefinitely. If these errors then undergo linear intermittent growth, a small ensemble may fail to properly represent all important modes, causing filter divergence. A combination of long and short-term growth dynamics are thus critical to EnKF performance. These findings can help in developing practical robust filters based on model dynamics.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1111/j.1600-0870.2011.00539.x","issn":"02806495","usgsCitation":"Ng, G., McLaughlin, D., Entekhabi, D., and Ahanin, A., 2011, The role of model dynamics in ensemble Kalman filter performance for chaotic systems: Tellus, Series A: Dynamic Meteorology and Oceanography, v. 63, no. 5, p. 958-977, https://doi.org/10.1111/j.1600-0870.2011.00539.x.","productDescription":"20 p.","startPage":"958","endPage":"977","costCenters":[],"links":[{"id":475225,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1600-0870.2011.00539.x","text":"Publisher Index Page"},{"id":244623,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-01-01","publicationStatus":"PW","scienceBaseUri":"505baf85e4b08c986b32486b","contributors":{"authors":[{"text":"Ng, G.-H.C.","contributorId":45929,"corporation":false,"usgs":true,"family":"Ng","given":"G.-H.C.","affiliations":[],"preferred":false,"id":445354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLaughlin, D.","contributorId":60883,"corporation":false,"usgs":true,"family":"McLaughlin","given":"D.","email":"","affiliations":[],"preferred":false,"id":445355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Entekhabi, D.","contributorId":64062,"corporation":false,"usgs":true,"family":"Entekhabi","given":"D.","email":"","affiliations":[],"preferred":false,"id":445356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ahanin, A.","contributorId":106344,"corporation":false,"usgs":true,"family":"Ahanin","given":"A.","email":"","affiliations":[],"preferred":false,"id":445357,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034351,"text":"70034351 - 2011 - Simulation of branched serial first-order decay of atrazine and metabolites in adapted and nonadapted soils","interactions":[],"lastModifiedDate":"2021-05-27T14:37:52.160923","indexId":"70034351","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Simulation of branched serial first-order decay of atrazine and metabolites in adapted and nonadapted soils","docAbstract":"<p><span>In the present study a branched serial first‐order decay (BSFOD) model is presented and used to derive transformation rates describing the decay of a common herbicide, atrazine, and its metabolites observed in unsaturated soils adapted to previous atrazine applications and in soils with no history of atrazine applications. Calibration of BSFOD models for soils throughout the country can reduce the uncertainty, relative to that of traditional models, in predicting the fate and transport of pesticides and their metabolites and thus support improved agricultural management schemes for reducing threats to the environment. Results from application of the BSFOD model to better understand the degradation of atrazine supports two previously reported conclusions: atrazine (6‐chloro‐</span><i>N</i><span>‐ethyl‐</span><i>N</i><span>′‐(1‐methylethyl)‐1,3,5‐triazine‐2,4‐diamine) and its primary metabolites are less persistent in adapted soils than in nonadapted soils; and hydroxyatrazine was the dominant primary metabolite in most of the soils tested. In addition, a method to simulate BSFOD in a one‐dimensional solute‐transport unsaturated zone model is also presented.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.597","usgsCitation":"Webb, R.M., Sandstrom, M.W., Krutz, L., and Shaner, D., 2011, Simulation of branched serial first-order decay of atrazine and metabolites in adapted and nonadapted soils: Environmental Toxicology and Chemistry, v. 30, no. 9, p. 1973-1981, https://doi.org/10.1002/etc.597.","productDescription":"9 p.","startPage":"1973","endPage":"1981","numberOfPages":"9","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":244656,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-01","publicationStatus":"PW","scienceBaseUri":"505b9014e4b08c986b3192e5","contributors":{"authors":[{"text":"Webb, R. M.","contributorId":97065,"corporation":false,"usgs":true,"family":"Webb","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":445368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":445366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krutz, L.J.","contributorId":22605,"corporation":false,"usgs":true,"family":"Krutz","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":445365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaner, D. L.","contributorId":70215,"corporation":false,"usgs":true,"family":"Shaner","given":"D. L.","affiliations":[],"preferred":false,"id":445367,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032298,"text":"70032298 - 2011 - Interactions between natural-occurring landscape conditions and land use influencing the abundance of riverine smallmouth bass, micropterus dolomieu","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032298","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":"Interactions between natural-occurring landscape conditions and land use influencing the abundance of riverine smallmouth bass, micropterus dolomieu","docAbstract":"This study examined how interactions between natural landscape features and land use influenced the abundance of smallmouth bass, Micropterus dolomieu, in Missouri, USA, streams. Stream segments were placed into one of four groups based on natural-occurring watershed characteristics (soil texture and soil permeability) predicted to relate to smallmouth bass abundance. Within each group, stream segments were assigned forest (n = 3), pasture (n = 3), or urban (n = 3) designations based on the percentages of land use within each watershed. Analyses of variance indicated smallmouth bass densities differed between land use and natural conditions. Decision tree models indicated abundance was highest in forested stream segments and lowest in urban stream segments, regardless of group designation. Land use explained the most variation in decision tree models, but in-channel features of temperature, flow, and sediment also contributed significantly. These results are unique and indicate the importance of natural-occurring watershed conditions in defining the potential of populations and how finer-scale filters interact with land use to further alter population potential. Smallmouth bass has differing vulnerabilities to land-use attributes, and the better the natural watershed conditions are for population success, the more resilient these populations will be when land conversion occurs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1139/f2011-110","issn":"0706652X","usgsCitation":"Brewer, S., and Rabeni, C., 2011, Interactions between natural-occurring landscape conditions and land use influencing the abundance of riverine smallmouth bass, micropterus dolomieu: Canadian Journal of Fisheries and Aquatic Sciences, v. 68, no. 11, p. 1922-1933, https://doi.org/10.1139/f2011-110.","startPage":"1922","endPage":"1933","numberOfPages":"12","costCenters":[],"links":[{"id":214982,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/f2011-110"},{"id":242744,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3cc4e4b0c8380cd63011","contributors":{"authors":[{"text":"Brewer, S.K.","contributorId":34284,"corporation":false,"usgs":true,"family":"Brewer","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":435497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rabeni, C.F.","contributorId":67823,"corporation":false,"usgs":true,"family":"Rabeni","given":"C.F.","affiliations":[],"preferred":false,"id":435498,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032299,"text":"70032299 - 2011 - Assessing the detail needed to capture rainfall-runoff dynamics with physics-based hydrologic response simulation","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032299","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the detail needed to capture rainfall-runoff dynamics with physics-based hydrologic response simulation","docAbstract":"Concept development simulation with distributed, physics-based models provides a quantitative approach for investigating runoff generation processes across environmental conditions. Disparities within data sets employed to design and parameterize boundary value problems used in heuristic simulation inevitably introduce various levels of bias. The objective was to evaluate the impact of boundary value problem complexity on process representation for different runoff generation mechanisms. The comprehensive physics-based hydrologic response model InHM has been employed to generate base case simulations for four well-characterized catchments. The C3 and CB catchments are located within steep, forested environments dominated by subsurface stormflow; the TW and R5 catchments are located in gently sloping rangeland environments dominated by Dunne and Horton overland flows. Observational details are well captured within all four of the base case simulations, but the characterization of soil depth, permeability, rainfall intensity, and evapotranspiration differs for each. These differences are investigated through the conversion of each base case into a reduced case scenario, all sharing the same level of complexity. Evaluation of how individual boundary value problem characteristics impact simulated runoff generation processes is facilitated by quantitative analysis of integrated and distributed responses at high spatial and temporal resolution. Generally, the base case reduction causes moderate changes in discharge and runoff patterns, with the dominant process remaining unchanged. Moderate differences between the base and reduced cases highlight the importance of detailed field observations for parameterizing and evaluating physics-based models. Overall, similarities between the base and reduced cases indicate that the simpler boundary value problems may be useful for concept development simulation to investigate fundamental controls on the spectrum of runoff generation mechanisms. Copyright 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010WR009906","issn":"00431397","usgsCitation":"Mirus, B., Ebel, B., Heppner, C., and Loague, K., 2011, Assessing the detail needed to capture rainfall-runoff dynamics with physics-based hydrologic response simulation: Water Resources Research, v. 47, no. 6, https://doi.org/10.1029/2010WR009906.","costCenters":[],"links":[{"id":475213,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr009906","text":"Publisher Index Page"},{"id":215013,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010WR009906"},{"id":242778,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-06-11","publicationStatus":"PW","scienceBaseUri":"5059ede8e4b0c8380cd49ac0","contributors":{"authors":[{"text":"Mirus, B.B.","contributorId":68128,"corporation":false,"usgs":true,"family":"Mirus","given":"B.B.","affiliations":[],"preferred":false,"id":435500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, B.A.","contributorId":87772,"corporation":false,"usgs":true,"family":"Ebel","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":435502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heppner, C.S.","contributorId":37147,"corporation":false,"usgs":true,"family":"Heppner","given":"C.S.","affiliations":[],"preferred":false,"id":435499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loague, K.","contributorId":77307,"corporation":false,"usgs":true,"family":"Loague","given":"K.","affiliations":[],"preferred":false,"id":435501,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034360,"text":"70034360 - 2011 - Analysis of dispersion and attenuation of surface waves in poroelastic media in the exploration-seismic frequency band","interactions":[],"lastModifiedDate":"2021-04-22T12:21:15.950809","indexId":"70034360","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of dispersion and attenuation of surface waves in poroelastic media in the exploration-seismic frequency band","docAbstract":"<p class=\"chapter-para\">We analyse dispersion and attenuation of surface waves at free surfaces of possible vacuum/poroelastic media: permeable-‘open pore’, impermeable-‘closed pore’ and partially permeable boundaries, which have not been previously reported in detail by researchers, under different surface-permeable, viscous-damping, elastic and fluid-flowing conditions. Our discussion is focused on their characteristics in the exploration-seismic frequency band (a few through 200 Hz) for near-surface applications. We find two surface-wave modes exist,<span>&nbsp;</span><i>R</i>1 waves for all conditions, and<span>&nbsp;</span><i>R</i>2 waves for closed-pore and partially permeable conditions. For<span>&nbsp;</span><i>R</i>1 waves, velocities disperse most under partially permeable conditions and least under the open-pore condition. High-coupling damping coefficients move the main dispersion frequency range to high frequencies. There is an<span>&nbsp;</span><i>f</i><sup>1</sup><span>&nbsp;</span>frequency dependence as a constant-<i>Q</i><span>&nbsp;</span>model for attenuation at high frequencies.<span>&nbsp;</span><i>R</i>1 waves for the open pore are most sensitive to elastic modulus variation, but least sensitive to tortuosities variation.<span>&nbsp;</span><i>R</i>1 waves for partially permeable surface radiate as non-physical waves (Im(<i>k</i>) &lt; 0) at low frequencies. For<span>&nbsp;</span><i>R</i>2 waves, velocities are slightly lower than the bulk slow<span>&nbsp;</span><i>P</i>2 waves. At low frequencies, both velocity and attenuation are diffusive of<span>&nbsp;</span><i>f</i><sup>1/2</sup><span>&nbsp;</span>frequency dependence, as<span>&nbsp;</span><i>P</i>2 waves. It is found that for partially permeable surfaces, the attenuation displays -<i>f</i><sup>1</sup><span>&nbsp;</span>frequency dependence as frequency increasing. High surface permeability, low-coupling damping coefficients, low Poisson′s ratios, and low tortuosities increase the slope of the -<i>f</i><sup>1</sup><span>&nbsp;</span>dependence. When the attenuation coefficients reach 0,<span>&nbsp;</span><i>R</i>2 waves for partially permeable surface begin to radiate as non-physical waves.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1111/j.1365-246X.2011.05168.x","issn":"0956540X","usgsCitation":"Zhang, Y., Xu, Y., and Xia, J., 2011, Analysis of dispersion and attenuation of surface waves in poroelastic media in the exploration-seismic frequency band: Geophysical Journal International, v. 187, no. 2, p. 871-888, https://doi.org/10.1111/j.1365-246X.2011.05168.x.","productDescription":"18 p.","startPage":"871","endPage":"888","numberOfPages":"18","costCenters":[],"links":[{"id":475223,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2011.05168.x","text":"Publisher Index Page"},{"id":244751,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"187","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-09-05","publicationStatus":"PW","scienceBaseUri":"5059eb10e4b0c8380cd48bb4","contributors":{"authors":[{"text":"Zhang, Y.","contributorId":59969,"corporation":false,"usgs":true,"family":"Zhang","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, Y.","contributorId":47816,"corporation":false,"usgs":true,"family":"Xu","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xia, J.","contributorId":63513,"corporation":false,"usgs":true,"family":"Xia","given":"J.","email":"","affiliations":[],"preferred":false,"id":445404,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions 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":70034362,"text":"70034362 - 2011 - Geochemistry of environmentally sensitive trace elements in Permian coals from the Huainan coalfield, Anhui, China","interactions":[],"lastModifiedDate":"2021-04-21T20:37:54.805955","indexId":"70034362","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry of environmentally sensitive trace elements in Permian coals from the Huainan coalfield, Anhui, China","docAbstract":"<p><span>To study the geochemical characteristics of 11 environmentally sensitive trace elements in the coals of the&nbsp;Permian Period&nbsp;from the Huainan coalfield, Anhui province, China,&nbsp;borehole&nbsp;samples of 336 coals, two partings, and four roof and floor&nbsp;mudstones&nbsp;were collected from mineable&nbsp;coal seams. Major elements and selected trace elements were determined by&nbsp;inductively coupled plasma&nbsp;optical emission&nbsp;spectrometry&nbsp;(ICP-OES),&nbsp;inductively coupled plasma mass spectrometry&nbsp;(ICP-MS), and hydride generation atomic absorption spectrometry (HAAS). The&nbsp;depositional environment, abundances, distribution, and modes of occurrence of trace elements were investigated. Results show that clay and&nbsp;carbonate minerals&nbsp;are the principal&nbsp;</span>inorganic constituents<span>&nbsp;in the coals. A lower deltaic plain, where fluvial channel systems developed successively, was the likely depositional environment of the&nbsp;Permian&nbsp;coals in the Huainan coalfield. All major elements have wider variation ranges than those of Chinese coals except for Mg and Fe. The contents of Cr, Co, Ni, and Se are higher than their averages for Chinese coals and world coals. Vertical variations of trace elements in different formations are not significant except for B and Ba. Certain roof and partings are distinctly higher in trace elements than underlying coal bench samples. The modes of occurrence of trace elements vary in different coal seams as a result of different coal-forming environments. Vanadium, Cr, and Th are associated with&nbsp;aluminosilicate&nbsp;minerals, Ba with carbonate minerals, and Cu, Zn, As, Se, and Pb mainly with&nbsp;sulfide&nbsp;minerals.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2011.08.002","issn":"01665162","usgsCitation":"Chen, J., Liu, G., Jiang, M., Chou, C.L., Li, H., Wu, B., Zheng, L., and Jiang, D., 2011, Geochemistry of environmentally sensitive trace elements in Permian coals from the Huainan coalfield, Anhui, China: International Journal of Coal Geology, v. 88, no. 1, p. 41-54, https://doi.org/10.1016/j.coal.2011.08.002.","productDescription":"14 p.","startPage":"41","endPage":"54","numberOfPages":"14","costCenters":[],"links":[{"id":244786,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216888,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2011.08.002"}],"country":"China","otherGeospatial":"Huainan coalfield","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              114.873046875,\n              32.35212281198644\n            ],\n            [\n              115.42236328124999,\n              31.62532121329918\n            ],\n            [\n              118.267822265625,\n              31.793555207271424\n            ],\n            [\n              119.15771484375,\n              33.47727218776036\n            ],\n            [\n              118.23486328125,\n              34.551811369170494\n            ],\n            [\n              116.90551757812499,\n              34.94899072578227\n            ],\n            [\n              115.49926757812499,\n              34.6060845921693\n            ],\n            [\n              114.42260742187499,\n              33.706062655101206\n            ],\n            [\n              114.620361328125,\n              32.35212281198644\n            ],\n            [\n              114.873046875,\n              32.35212281198644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a16f3e4b0c8380cd5531a","contributors":{"authors":[{"text":"Chen, J.","contributorId":104634,"corporation":false,"usgs":true,"family":"Chen","given":"J.","email":"","affiliations":[],"preferred":false,"id":445416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Gaisheng","contributorId":15158,"corporation":false,"usgs":true,"family":"Liu","given":"Gaisheng","email":"","affiliations":[],"preferred":false,"id":445409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jiang, M.","contributorId":103062,"corporation":false,"usgs":true,"family":"Jiang","given":"M.","email":"","affiliations":[],"preferred":false,"id":445415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chou, C. L.","contributorId":32655,"corporation":false,"usgs":false,"family":"Chou","given":"C.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":445411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, H.","contributorId":44338,"corporation":false,"usgs":true,"family":"Li","given":"H.","email":"","affiliations":[],"preferred":false,"id":445412,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, B.","contributorId":23362,"corporation":false,"usgs":true,"family":"Wu","given":"B.","email":"","affiliations":[],"preferred":false,"id":445410,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zheng, Lingyun","contributorId":68495,"corporation":false,"usgs":true,"family":"Zheng","given":"Lingyun","email":"","affiliations":[],"preferred":false,"id":445414,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jiang, D.","contributorId":58869,"corporation":false,"usgs":true,"family":"Jiang","given":"D.","email":"","affiliations":[],"preferred":false,"id":445413,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70034366,"text":"70034366 - 2011 - Mortality of Siberian polecats and black-footed ferrets released onto prairie dog colonies","interactions":[],"lastModifiedDate":"2021-04-21T20:09:47.111367","indexId":"70034366","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Mortality of Siberian polecats and black-footed ferrets released onto prairie dog colonies","docAbstract":"<p><span>Black-footed ferrets (</span><i>Mustela nigripes</i><span>) likely were extirpated from the wild in 1985–1986, and their repatriation depends on captive breeding and reintroduction. Postrelease survival of animals can be affected by behavioral changes induced by captivity. We released neutered Siberian polecats (</span><i>M. eversmanii</i><span>), close relatives of ferrets, in 1989–1990 on black-tailed prairie dog (</span><i>Cynomys ludovicianus</i><span>) colonies in Colorado and Wyoming initially to test rearing and reintroduction techniques. Captive-born polecats were reared in cages or cages plus outdoor pens, released from elevated cages or into burrows, and supplementally fed or not fed. We also translocated wild-born polecats from China in 1990 and released captive-born, cage-reared black-footed ferrets in 1991, the 1st such reintroduction of black-footed ferrets. We documented mortality for 55 of 92 radiotagged animals in these studies, mostly due to predation (46 cases). Coyotes (</span><i>Canis latrans</i><span>) killed 31 ferrets and polecats. Supplementally fed polecats survived longer than nonprovisioned polecats. With a model based on deaths per distance moved, survival was highest for wild-born polecats, followed by pen-experienced, then cage-reared groups. Indexes of abundance (from spotlight surveys) for several predators were correlated with mortality rates of polecats and ferrets due to those predators. Released black-footed ferrets had lower survival rates than their ancestral population in Wyoming, and lower survival than wild-born and translocated polecats, emphasizing the influence of captivity. Captive-born polecats lost body mass more rapidly postrelease than did captive-born ferrets. Differences in hunting efficiency and prey selection provide further evidence that these polecats and ferrets are not ecological equivalents in the strict sense.</span></p>","language":"English","publisher":"American Society of Mammalogists","doi":"10.1644/10-MAMM-S-115.1","issn":"00222372","usgsCitation":"Biggins, E., Miller, B., Hanebury, L.R., and Powell, R.A., 2011, Mortality of Siberian polecats and black-footed ferrets released onto prairie dog colonies: Journal of Mammalogy, v. 92, no. 4, p. 721-731, https://doi.org/10.1644/10-MAMM-S-115.1.","productDescription":"11 p.","startPage":"721","endPage":"731","costCenters":[],"links":[{"id":487180,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/10-mamm-s-115.1","text":"Publisher Index Page"},{"id":244852,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216950,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/10-MAMM-S-115.1"}],"volume":"92","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-08-16","publicationStatus":"PW","scienceBaseUri":"505a5e75e4b0c8380cd70a62","contributors":{"authors":[{"text":"Biggins, E.","contributorId":88303,"corporation":false,"usgs":true,"family":"Biggins","given":"E.","email":"","affiliations":[],"preferred":false,"id":445433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, B.J.","contributorId":17173,"corporation":false,"usgs":true,"family":"Miller","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":445430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanebury, Louis R.","contributorId":47544,"corporation":false,"usgs":true,"family":"Hanebury","given":"Louis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":445432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, R. A.","contributorId":41789,"corporation":false,"usgs":true,"family":"Powell","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445431,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032349,"text":"70032349 - 2011 - Monitoring and inversion on land subsidence over mining area with InSAR technique","interactions":[],"lastModifiedDate":"2012-03-12T17:21:26","indexId":"70032349","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Monitoring and inversion on land subsidence over mining area with InSAR technique","docAbstract":"The Wulanmulun town, located in Inner Mongolia, is one of the main mining areas of Shendong Company such as Shangwan coal mine and Bulianta coal mine, which has been suffering serious mine collapse with the underground mine withdrawal. We use ALOS/PALSAR data to extract land deformation under these regions, in which Small Baseline Subsets (SBAS) method was applied. Then we compared InSAR results with the underground mining activities, and found high correlations between them. Lastly we applied Distributed Dislocation (Okada) model to invert the mine collapse mechanism. ?? 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).","largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","conferenceTitle":"International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications","conferenceDate":"26 May 2011 through 29 May 2011","conferenceLocation":"Nanjing","language":"English","doi":"10.1117/12.912345","issn":"0277786X","isbn":"9780819489333","usgsCitation":"Wang, Y., Zhang, Q., Zhao, C., Lu, Z., and Ding, X., 2011, Monitoring and inversion on land subsidence over mining area with InSAR technique, <i>in</i> Proceedings of SPIE - The International Society for Optical Engineering, v. 8286, Nanjing, 26 May 2011 through 29 May 2011, https://doi.org/10.1117/12.912345.","costCenters":[],"links":[{"id":214734,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/12.912345"},{"id":242484,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8286","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5d88e4b0c8380cd70430","contributors":{"authors":[{"text":"Wang, Y.","contributorId":64213,"corporation":false,"usgs":true,"family":"Wang","given":"Y.","affiliations":[],"preferred":false,"id":435722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Q.","contributorId":84163,"corporation":false,"usgs":true,"family":"Zhang","given":"Q.","email":"","affiliations":[],"preferred":false,"id":435723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhao, C.","contributorId":14655,"corporation":false,"usgs":true,"family":"Zhao","given":"C.","email":"","affiliations":[],"preferred":false,"id":435720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":435724,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ding, X.","contributorId":49990,"corporation":false,"usgs":true,"family":"Ding","given":"X.","email":"","affiliations":[],"preferred":false,"id":435721,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032587,"text":"70032587 - 2011 - Late Pleistocene dune activity in the central Great Plains, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70032587","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Late Pleistocene dune activity in the central Great Plains, USA","docAbstract":"Stabilized dunes of the central Great Plains, especially the megabarchans and large barchanoid ridges of the Nebraska Sand Hills, provide dramatic evidence of late Quaternary environmental change. Episodic Holocene dune activity in this region is now well-documented, but Late Pleistocene dune mobility has remained poorly documented, despite early interpretations of the Sand Hills dunes as Pleistocene relicts. New optically stimulated luminescence (OSL) ages from drill cores and outcrops provide evidence of Late Pleistocene dune activity at sites distributed across the central Great Plains. In addition, Late Pleistocene eolian sands deposited at 20-25 ka are interbedded with loess south of the Sand Hills. Several of the large dunes sampled in the Sand Hills clearly contain a substantial core of Late Pleistocene sand; thus, they had developed by the Late Pleistocene and were fully mobile at that time, although substantial sand deposition and extensive longitudinal dune construction occurred during the Holocene. Many of the Late Pleistocene OSL ages fall between 17 and 14 ka, but it is likely that these ages represent only the later part of a longer period of dune construction and migration. At several sites, significant Late Pleistocene or Holocene large-dune migration also probably occurred after the time represented by the Pleistocene OSL ages. Sedimentary structures in Late Pleistocene eolian sand and the forms of large dunes potentially constructed in the Late Pleistocene both indicate sand transport dominated by northerly to westerly winds, consistent with Late Pleistocene loess transport directions. Numerical modeling of the climate of the Last Glacial Maximum has often yielded mean monthly surface winds southwest of the Laurentide Ice Sheet that are consistent with this geologic evidence, despite strengthened anticyclonic circulation over the ice sheet. Mobility of large dunes during the Late Pleistocene on the central Great Plains may have been the result of cold, short growing seasons with relatively low precipitation and low atmospheric CO2 that increased plant moisture stress, limiting the ability of vegetation to stabilize active dune sand. The apparent coexistence of large mobile dunes with boreal forest taxa suggests a Late Pleistocene environment with few modern analogs. ?? 2011 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Science Reviews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.quascirev.2011.10.005","issn":"02773791","usgsCitation":"Mason, J., Swinehart, J.B., Hanson, P., Loope, D., Goble, R., Miao, X., and Schmeisser, R., 2011, Late Pleistocene dune activity in the central Great Plains, USA: Quaternary Science Reviews, v. 30, no. 27-28, p. 3858-3870, https://doi.org/10.1016/j.quascirev.2011.10.005.","startPage":"3858","endPage":"3870","numberOfPages":"13","costCenters":[],"links":[{"id":213760,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quascirev.2011.10.005"},{"id":241417,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"27-28","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4510e4b0c8380cd66fe1","contributors":{"authors":[{"text":"Mason, J.A.","contributorId":31507,"corporation":false,"usgs":true,"family":"Mason","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":436951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swinehart, J. B.","contributorId":25244,"corporation":false,"usgs":true,"family":"Swinehart","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":436950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, P.R.","contributorId":45434,"corporation":false,"usgs":true,"family":"Hanson","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":436952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loope, D.B.","contributorId":63628,"corporation":false,"usgs":true,"family":"Loope","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":436954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goble, R.J.","contributorId":21265,"corporation":false,"usgs":true,"family":"Goble","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":436949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miao, X.","contributorId":60753,"corporation":false,"usgs":true,"family":"Miao","given":"X.","email":"","affiliations":[],"preferred":false,"id":436953,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmeisser, R.L.","contributorId":7919,"corporation":false,"usgs":true,"family":"Schmeisser","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":436948,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"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":70034376,"text":"70034376 - 2011 - Comparison of two methods used to model shape parameters of Pareto distributions","interactions":[],"lastModifiedDate":"2021-04-22T12:04:15.361576","indexId":"70034376","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2701,"text":"Mathematical Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of two methods used to model shape parameters of Pareto distributions","docAbstract":"<p><span>Two methods are compared for estimating the shape parameters of Pareto field-size (or pool-size) distributions for petroleum resource assessment. Both methods assume mature exploration in which most of the larger fields have been discovered. Both methods use the sizes of larger discovered fields to estimate the numbers and sizes of smaller fields: (1)&nbsp;the tail-truncated method uses a plot of field size versus size rank, and (2)&nbsp;the log–geometric method uses data binned in field-size classes and the ratios of adjacent bin counts. Simulation experiments were conducted using discovered oil and gas pool-size distributions from four petroleum systems in Alberta, Canada and using Pareto distributions generated by Monte Carlo simulation. The estimates of the shape parameters of the Pareto distributions, calculated by both the tail-truncated and log–geometric methods, generally stabilize where discovered pool numbers are greater than 100. However, with fewer than 100 discoveries, these estimates can vary greatly with each new discovery. The estimated shape parameters of the tail-truncated method are more stable and larger than those of the log–geometric method where the number of discovered pools is more than 100. Both methods, however, tend to underestimate the shape parameter. Monte Carlo simulation was also used to create sequences of discovered pool sizes by sampling from a Pareto distribution with a discovery process model using a defined exploration efficiency (in order to show how biased the sampling was in favor of larger fields being discovered first). A&nbsp;higher (more biased) exploration efficiency gives better estimates of the Pareto shape parameters.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11004-011-9361-6","issn":"18748961","usgsCitation":"Liu, C., Charpentier, R., and Su, J., 2011, Comparison of two methods used to model shape parameters of Pareto distributions: Mathematical Geosciences, v. 43, no. 7, p. 847-859, https://doi.org/10.1007/s11004-011-9361-6.","productDescription":"13 p.","startPage":"847","endPage":"859","costCenters":[],"links":[{"id":244528,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-09-17","publicationStatus":"PW","scienceBaseUri":"5059f848e4b0c8380cd4cfc0","contributors":{"authors":[{"text":"Liu, C.","contributorId":67755,"corporation":false,"usgs":true,"family":"Liu","given":"C.","affiliations":[],"preferred":false,"id":445493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Charpentier, Ronald R.","contributorId":33674,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","affiliations":[],"preferred":false,"id":445491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Su, J.","contributorId":39187,"corporation":false,"usgs":true,"family":"Su","given":"J.","email":"","affiliations":[],"preferred":false,"id":445492,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034382,"text":"70034382 - 2011 - Controls on large landslide distribution and implications for the geomorphic evolution of the southern interior Columbia River basin","interactions":[],"lastModifiedDate":"2021-04-22T12:00:12.727323","indexId":"70034382","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Controls on large landslide distribution and implications for the geomorphic evolution of the southern interior Columbia River basin","docAbstract":"<p><span>Large landslides (&gt;0.1 km</span><sup>2</sup><span>) are important agents of geomorphic change. While most common in rugged mountain ranges, large landslides can also be widespread in relatively low-relief (several 100 m) terrain, where their distribution has been relatively little studied. A fuller understanding of the role of large landslides in landscape evolution requires addressing this gap, since the distribution of large landslides may affect broad regions through interactions with channel processes, and since the dominant controls on landslide distribution might be expected to vary with tectonic setting. We documented &gt;400 landslides between 0.1 and ∼40 km</span><sup>2</sup><span>&nbsp;across ∼140,000 km</span><sup>2</sup><span>&nbsp;of eastern Oregon, in the semiarid, southern interior Columbia River basin. The mapped landslides cluster in a NW-SE–trending band that is 50–100 km wide. Landslides predominantly occur where even modest local relief (∼100 m) exists near key contacts between weak sedimentary or volcaniclastic rock and coherent cap rock. Fault density exerts no control on landslide distribution, while ∼10% of mapped landslides cluster within 3–10 km of mapped fold axes. Landslide occurrence is curtailed to the NE by thick packages of coherent basalt and to the SW by limited local relief. Our results suggest that future mass movements will localize in areas stratigraphically preconditioned for landsliding by a geologic history of fluviolacustrine and volcaniclastic sedimentation and episodic capping by coherent lava flows. In such areas, episodic landsliding may persist for hundreds of thousands of years or more, producing valley wall slopes of ∼7°–13° and impacting local channels with an evolving array of mass movement styles.</span></p>","language":"English","publisher":"Geological Society of America.","doi":"10.1130/B30061.1","issn":"00167606","usgsCitation":"Safran, E., Anderson, S., Mills-Novoa, M., House, P., and Ely, L., 2011, Controls on large landslide distribution and implications for the geomorphic evolution of the southern interior Columbia River basin: Geological Society of America Bulletin, v. 123, no. 9-10, p. 1851-1862, https://doi.org/10.1130/B30061.1.","productDescription":"12 p.","startPage":"1851","endPage":"1862","costCenters":[],"links":[{"id":244625,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon, Washington","otherGeospatial":"Southern interior Columbia River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.00488281250001,\n              41.983994270935625\n            ],\n            [\n              -115.15869140624999,\n              42.52069952914966\n            ],\n            [\n              -116.52099609375,\n              43.40504748787035\n            ],\n            [\n              -117.44384765625,\n              44.69989765840318\n            ],\n            [\n              -120.08056640625,\n              45.583289756006316\n            ],\n            [\n              -121.75048828124999,\n              44.88701247981298\n            ],\n            [\n              -121.92626953124999,\n              43.929549935614595\n            ],\n            [\n              -121.728515625,\n              41.983994270935625\n            ],\n            [\n              -115.00488281250001,\n              41.983994270935625\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2011-01-21","publicationStatus":"PW","scienceBaseUri":"5059fbd0e4b0c8380cd4df9b","contributors":{"authors":[{"text":"Safran, E.B.","contributorId":76970,"corporation":false,"usgs":true,"family":"Safran","given":"E.B.","email":"","affiliations":[],"preferred":false,"id":445526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, S.W.","contributorId":25628,"corporation":false,"usgs":true,"family":"Anderson","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":445523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mills-Novoa, M.","contributorId":33143,"corporation":false,"usgs":true,"family":"Mills-Novoa","given":"M.","email":"","affiliations":[],"preferred":false,"id":445525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"House, P.K.","contributorId":25755,"corporation":false,"usgs":true,"family":"House","given":"P.K.","email":"","affiliations":[],"preferred":false,"id":445524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ely, L.","contributorId":105944,"corporation":false,"usgs":true,"family":"Ely","given":"L.","affiliations":[],"preferred":false,"id":445527,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034385,"text":"70034385 - 2011 - An equation of state for hypersaline water in Great Salt Lake, Utah, USA","interactions":[],"lastModifiedDate":"2021-04-22T11:59:28.876478","indexId":"70034385","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"An equation of state for hypersaline water in Great Salt Lake, Utah, USA","docAbstract":"<p><span>Great Salt Lake (GSL) is one of the largest and most saline lakes in the world. In order to accurately model limnological processes in GSL, hydrodynamic calculations require the precise estimation of water density (</span><i>ρ</i><span>) under a variety of environmental conditions. An equation of state was developed with water samples collected from GSL to estimate density as a function of salinity and water temperature. The&nbsp;</span><i>ρ</i><span>&nbsp;of water samples from the south arm of GSL was measured as a function of temperature ranging from 278 to 323 degrees Kelvin (</span><sup>o</sup><span>K) and conductivity salinities ranging from 23 to 182&nbsp;g L</span><sup>−1</sup><span>&nbsp;using an Anton Paar density meter. These results have been used to develop the following equation of state for GSL (σ&nbsp;=&nbsp;±&nbsp;0.32&nbsp;kg&nbsp;m</span><sup>−3</sup><span>):</span></p><p><span><span id=\"MathJax-Span-3\" class=\"mi\">ρ</span><span id=\"MathJax-Span-4\" class=\"mo\">−</span><span id=\"MathJax-Span-5\" class=\"msubsup\"><span id=\"MathJax-Span-6\" class=\"mi\">ρ<sup>0</sup></span></span><span id=\"MathJax-Span-10\" class=\"mo\">=</span><span id=\"MathJax-Span-11\" class=\"texatom\"><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mn\">184</span></span></span><span id=\"MathJax-Span-14\" class=\"mn\">.0</span><span id=\"MathJax-Span-15\" class=\"mn\">10</span><span id=\"MathJax-Span-16\" class=\"mn\">6</span><span id=\"MathJax-Span-17\" class=\"mn\">2</span><span id=\"MathJax-Span-18\" class=\"texatom\"><span id=\"MathJax-Span-19\" class=\"mrow\"></span></span><span id=\"MathJax-Span-20\" class=\"mo\">+</span><span id=\"MathJax-Span-21\" class=\"texatom\"><span id=\"MathJax-Span-22\" class=\"mrow\"><span id=\"MathJax-Span-23\" class=\"mn\">1</span></span></span><span id=\"MathJax-Span-24\" class=\"mn\">.0</span><span id=\"MathJax-Span-25\" class=\"mn\">4</span><span id=\"MathJax-Span-26\" class=\"mn\">70</span><span id=\"MathJax-Span-27\" class=\"mn\">8</span><span id=\"MathJax-Span-28\" class=\"mo\">∗</span><span id=\"MathJax-Span-29\" class=\"texatom\"><span id=\"MathJax-Span-30\" class=\"mrow\"><span id=\"MathJax-Span-31\" class=\"mtext\">S</span></span></span><span id=\"MathJax-Span-32\" class=\"mo\">−</span><span id=\"MathJax-Span-33\" class=\"mn\">1.</span><span id=\"MathJax-Span-34\" class=\"mn\">2</span><span id=\"MathJax-Span-35\" class=\"mn\">10</span><span id=\"MathJax-Span-36\" class=\"mn\">6</span><span id=\"MathJax-Span-37\" class=\"mn\">1</span><span id=\"MathJax-Span-38\" class=\"mo\">∗</span><span id=\"MathJax-Span-39\" class=\"texatom\"><span id=\"MathJax-Span-40\" class=\"mrow\"><span id=\"MathJax-Span-41\" class=\"mtext\">T&nbsp;</span></span></span><span id=\"MathJax-Span-42\" class=\"mo\">+</span><span id=\"MathJax-Span-43\" class=\"texatom\"><span id=\"MathJax-Span-44\" class=\"mrow\"><span id=\"MathJax-Span-45\" class=\"mn\">3</span></span></span><span id=\"MathJax-Span-46\" class=\"mo\">.</span><span id=\"MathJax-Span-47\" class=\"mn\">1</span><span id=\"MathJax-Span-48\" class=\"mn\">4</span><span id=\"MathJax-Span-49\" class=\"mn\">7</span><span id=\"MathJax-Span-50\" class=\"mn\">2</span><span id=\"MathJax-Span-51\" class=\"mn\">1</span><span id=\"MathJax-Span-52\" class=\"texatom\"><span id=\"MathJax-Span-53\" class=\"mrow\"><span id=\"MathJax-Span-54\" class=\"mtext\">E</span></span></span><span id=\"MathJax-Span-55\" class=\"mo\">−</span><span id=\"MathJax-Span-56\" class=\"mn\">4</span><span id=\"MathJax-Span-57\" class=\"mo\">∗</span><span id=\"MathJax-Span-58\" class=\"msubsup\"><span id=\"MathJax-Span-59\" class=\"texatom\"><span id=\"MathJax-Span-60\" class=\"mrow\"><span id=\"MathJax-Span-61\" class=\"mtext\">S<sup>2</sup></span></span></span></span><span id=\"MathJax-Span-65\" class=\"mo\">+</span><span id=\"MathJax-Span-66\" class=\"mspace\"></span><span id=\"MathJax-Span-67\" class=\"mn\">0.00</span><span id=\"MathJax-Span-68\" class=\"mn\">1</span><span id=\"MathJax-Span-69\" class=\"mn\">9</span><span id=\"MathJax-Span-70\" class=\"mn\">9</span><span id=\"MathJax-Span-71\" class=\"msubsup\"><span id=\"MathJax-Span-72\" class=\"texatom\"><span id=\"MathJax-Span-73\" class=\"mrow\"><span id=\"MathJax-Span-74\" class=\"mtext\">T<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><sup>2</sup></span></span></span></span></span><span id=\"MathJax-Span-78\" class=\"mo\">−</span><span id=\"MathJax-Span-79\" class=\"mn\">0.00</span><span id=\"MathJax-Span-80\" class=\"mn\">1</span><span id=\"MathJax-Span-81\" class=\"mn\">1</span><span id=\"MathJax-Span-82\" class=\"mn\">2</span><span id=\"MathJax-Span-83\" class=\"mo\">∗</span><span id=\"MathJax-Span-84\" class=\"texatom\"><span id=\"MathJax-Span-85\" class=\"mrow\"><span id=\"MathJax-Span-86\" class=\"mtext\">S</span></span></span><span id=\"MathJax-Span-87\" class=\"mo\">∗</span><span id=\"MathJax-Span-88\" class=\"texatom\"><span id=\"MathJax-Span-89\" class=\"mrow\"><span id=\"MathJax-Span-90\" class=\"mtext\">T</span></span></span><span id=\"MathJax-Span-91\" class=\"mo\">,</span></span></p><p><span><span class=\"mo\">where&nbsp;<i>ρ</i>&nbsp;<sup>0</sup>&nbsp;is the density of pure water in kg&nbsp;m<sup>−3</sup>, S is conductivity salinity g L<sup>−1</sup>, and T is water temperature in degrees Kelvin.</span></span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10498-011-9138-z","issn":"13806165","usgsCitation":"Naftz, D.L., Millero, F., Jones, B., and Green, W.R., 2011, An equation of state for hypersaline water in Great Salt Lake, Utah, USA: Aquatic Geochemistry, v. 17, no. 6, p. 809-820, https://doi.org/10.1007/s10498-011-9138-z.","productDescription":"12 p.","startPage":"809","endPage":"820","costCenters":[],"links":[{"id":438835,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96MNH8J","text":"USGS data release","linkHelpText":"Density and salinity data to validate an equation of state for hypersaline water in Great Salt Lake, Utah, 2021&amp;amp;amp;amp;ndash;2022"},{"id":244659,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.9010009765625,\n              40.68063802521456\n            ],\n            [\n              -111.7529296875,\n              40.68063802521456\n            ],\n            [\n              -111.7529296875,\n              41.335575973123916\n            ],\n            [\n              -112.9010009765625,\n              41.335575973123916\n            ],\n            [\n              -112.9010009765625,\n              40.68063802521456\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-06-11","publicationStatus":"PW","scienceBaseUri":"5059e9d3e4b0c8380cd484aa","contributors":{"authors":[{"text":"Naftz, D. L.","contributorId":40624,"corporation":false,"usgs":true,"family":"Naftz","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":445538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Millero, F.J.","contributorId":106345,"corporation":false,"usgs":true,"family":"Millero","given":"F.J.","affiliations":[],"preferred":false,"id":445541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, B.F.","contributorId":52156,"corporation":false,"usgs":true,"family":"Jones","given":"B.F.","email":"","affiliations":[],"preferred":false,"id":445539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, W. R.","contributorId":68354,"corporation":false,"usgs":true,"family":"Green","given":"W.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":445540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034389,"text":"70034389 - 2011 - Short-term survival and effects of transmitter implantation into western grebes using a modified surgical procedure","interactions":[],"lastModifiedDate":"2014-05-13T11:44:10","indexId":"70034389","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2514,"text":"Journal of Zoo and Wildlife Medicine","active":true,"publicationSubtype":{"id":10}},"title":"Short-term survival and effects of transmitter implantation into western grebes using a modified surgical procedure","docAbstract":"Two pilot trials and one study in a closely related grebe species suggest that Western grebes (<i>Aechmophorus occidentalis</i>) will not tolerate intracoelomic transmitter implantation with percutaneous antennae and often die within days of surgery. Wild Western grebes (n = 21) were captured to evaluate a modified surgical technique. Seven birds were surgically implanted with intracoelomic transmitters with percutaneous antennae by using the modified technique (transmitter group), 7 received the same surgery without transmitter implantation (celiotomy group), and 7 served as controls (only undergoing anesthesia). Modifications included laterally offsetting the body wall incision from the skin incision, application of absorbable cyanoacrylate tissue glue to the subcutaneous space between the body wall and skin incisions, application of a waterproof sealant to the skin incision after suture closure, and application of a piece of porcine small intestine submucosa to the antenna egress. Survival did not differ among the 3 groups with 7 of 7 control, 6 of 7 celiotomy, and 6 of 7 transmitter birds surviving the 9-day study. Experimental birds were euthanized at the end of the study, and postmortem findings indicated normal healing. Significant differences in plasma chemistry or immune function were not detected among the 3 groups, and only minor differences were detected in red blood cell indices and plasma proteins. After surgery, the birds in the transmitter group spent more time preening tail feathers than those in the control and celiotomy groups. These results demonstrate that, in a captive situation, celiotomy and intracoelomic transmitter implantation caused minimal detectable homeostatic disturbance in this species and that Western grebes can survive implantation of intracoelomic transmitters with percutaneous antennae. It remains to be determined what potential this modified surgical procedure has to improve postoperative survival of Western grebes that are intracelomically implanted with transmitters with percutaneous antennae and released into the wild.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Zoo and Wildlife Medicine","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association of Zoo Veterinarians","doi":"10.1638/2010-0233.1","issn":"10427260","usgsCitation":"Gaydos, J.K., Massey, J.G., Mulcahy, D.M., Gaskins, L.A., Nysewander, D., Evenson, J., Siegel, P.B., and Ziccardi, M.H., 2011, Short-term survival and effects of transmitter implantation into western grebes using a modified surgical procedure: Journal of Zoo and Wildlife Medicine, v. 42, no. 3, p. 414-425, https://doi.org/10.1638/2010-0233.1.","productDescription":"12 p.","startPage":"414","endPage":"425","numberOfPages":"12","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":244724,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216829,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1638/2010-0233.1"}],"volume":"42","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8ec7e4b08c986b318b3c","contributors":{"authors":[{"text":"Gaydos, Joseph K.","contributorId":28456,"corporation":false,"usgs":true,"family":"Gaydos","given":"Joseph","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":445560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massey, J. Gregory","contributorId":101054,"corporation":false,"usgs":true,"family":"Massey","given":"J.","email":"","middleInitial":"Gregory","affiliations":[],"preferred":false,"id":445563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mulcahy, Daniel M. dmulcahy@usgs.gov","contributorId":3102,"corporation":false,"usgs":true,"family":"Mulcahy","given":"Daniel","email":"dmulcahy@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":445556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaskins, Lori A.","contributorId":6288,"corporation":false,"usgs":true,"family":"Gaskins","given":"Lori","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nysewander, David","contributorId":57298,"corporation":false,"usgs":true,"family":"Nysewander","given":"David","affiliations":[],"preferred":false,"id":445562,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evenson, Joseph","contributorId":19809,"corporation":false,"usgs":true,"family":"Evenson","given":"Joseph","affiliations":[],"preferred":false,"id":445559,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Siegel, Paul B.","contributorId":44763,"corporation":false,"usgs":true,"family":"Siegel","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":445561,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ziccardi, Michael H.","contributorId":16677,"corporation":false,"usgs":true,"family":"Ziccardi","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":445558,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70035087,"text":"70035087 - 2011 - Prototyping an online wetland ecosystem services model using open model sharing standards","interactions":[],"lastModifiedDate":"2017-04-06T12:30:28","indexId":"70035087","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Prototyping an online wetland ecosystem services model using open model sharing standards","docAbstract":"<p><span>Great interest currently exists for developing ecosystem models to forecast how ecosystem services may change under alternative land use and climate futures. Ecosystem services are diverse and include supporting services or functions (e.g., primary production, nutrient cycling), provisioning services (e.g., wildlife, groundwater), regulating services (e.g., water purification, floodwater retention), and even cultural services (e.g., ecotourism, cultural heritage). Hence, the knowledge base necessary to quantify ecosystem services is broad and derived from many diverse scientific disciplines. Building the required interdisciplinary models is especially challenging as modelers from different locations and times may develop the disciplinary models needed for ecosystem simulations, and these models must be identified and made accessible to the interdisciplinary simulation. Additional difficulties include inconsistent data structures, formats, and metadata required by geospatial models as well as limitations on computing, storage, and connectivity. Traditional standalone and closed network systems cannot fully support sharing and integrating interdisciplinary geospatial models from variant sources. To address this need, we developed an approach to openly share and access geospatial computational models using distributed Geographic Information System (GIS) techniques and open geospatial standards. We included a means to share computational models compliant with Open Geospatial Consortium (OGC) Web Processing Services (WPS) standard to ensure modelers have an efficient and simplified means to publish new models. To demonstrate our approach, we developed five disciplinary models that can be integrated and shared to simulate a few of the ecosystem services (e.g., water storage, waterfowl breeding) that are provided by wetlands in the Prairie Pothole Region (PPR) of North America.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2010.10.008","issn":"13648152","usgsCitation":"Feng, M., Liu, S., Euliss, N., Young, C., and Mushet, D., 2011, Prototyping an online wetland ecosystem services model using open model sharing standards: Environmental Modelling and Software, v. 26, no. 4, p. 458-468, https://doi.org/10.1016/j.envsoft.2010.10.008.","productDescription":"11 p.","startPage":"458","endPage":"468","numberOfPages":"11","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243287,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215479,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2010.10.008"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8f98e4b0c8380cd7f860","contributors":{"authors":[{"text":"Feng, M.","contributorId":18195,"corporation":false,"usgs":true,"family":"Feng","given":"M.","affiliations":[],"preferred":false,"id":449229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":449233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euliss, N.H.","contributorId":27836,"corporation":false,"usgs":true,"family":"Euliss","given":"N.H.","affiliations":[],"preferred":false,"id":449230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Caitlin","contributorId":30181,"corporation":false,"usgs":false,"family":"Young","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":449231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, D.M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":59377,"corporation":false,"usgs":true,"family":"Mushet","given":"D.M.","affiliations":[],"preferred":false,"id":449232,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034393,"text":"70034393 - 2011 - A multispecies framework for landscape conservation planning","interactions":[],"lastModifiedDate":"2021-04-22T11:55:34.984718","indexId":"70034393","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"A multispecies framework for landscape conservation planning","docAbstract":"<p>&nbsp;Rapidly changing landscapes have spurred the need for quantitative methods for conservation assessment and planning that encompass large spatial extents. We devised and tested a multispecies framework for conservation planning to complement single‐species assessments and ecosystem‐level approaches. Our framework consisted of 4 elements: sampling to effectively estimate population parameters, measuring how human activity affects landscapes at multiple scales, analyzing the relation between landscape characteristics and individual species occurrences, and evaluating and comparing the responses of multiple species to landscape modification. We applied the approach to a community of terrestrial birds across 25,000 km<sup>2</sup>&nbsp;with a range of intensities of human development. Human modification of land cover, road density, and other elements of the landscape, measured at multiple spatial extents, had large effects on occupancy of the 67 species studied. Forest composition within 1 km of points had a strong effect on occupancy of many species and a range of negative, intermediate, and positive associations. Road density within 1 km of points, percent evergreen forest within 300 m, and distance from patch edge were also strongly associated with occupancy for many species. We used the occupancy results to group species into 11 guilds that shared patterns of association with landscape characteristics. Our multispecies approach to conservation planning allowed us to quantify the trade‐offs of different scenarios of land‐cover change in terms of species occupancy.</p>","language":"English","publisher":"The Society for Conservation Biology","doi":"10.1111/j.1523-1739.2011.01723.x","issn":"08888892","usgsCitation":"Schwenk, W., and Donovan, T., 2011, A multispecies framework for landscape conservation planning: Conservation Biology, v. 25, no. 5, p. 1010-1021, https://doi.org/10.1111/j.1523-1739.2011.01723.x.","productDescription":"12 p.","startPage":"1010","endPage":"1021","costCenters":[],"links":[{"id":244787,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"5059e2eee4b0c8380cd45d33","contributors":{"authors":[{"text":"Schwenk, W.S.","contributorId":19405,"corporation":false,"usgs":true,"family":"Schwenk","given":"W.S.","email":"","affiliations":[],"preferred":false,"id":445576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, T.M.","contributorId":91602,"corporation":false,"usgs":true,"family":"Donovan","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":445577,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034394,"text":"70034394 - 2011 - The dark side of the hyporheic zone: Depth profiles of nitrogen and its processing in stream sediments","interactions":[],"lastModifiedDate":"2021-04-21T18:04:23.169276","indexId":"70034394","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"The dark side of the hyporheic zone: Depth profiles of nitrogen and its processing in stream sediments","docAbstract":"<p>1. Although it is well known that sediments can be hot spots for nitrogen transformation in streams, many previous studies have confined measurements of denitrification and nitrate retention to shallow sediments (&lt;5 cm deep). We determined the extent of nitrate processing in deeper sediments of a sand plains stream (Emmons Creek) by measuring denitrification in core sections to a depth of 25 cm and by assessing vertical nitrate profiles, with peepers and piezometers, to a depth of 70 cm.</p><p>2. Denitrification rates of sediment slurries based on acetylene block were higher in shallower core sections. However, core sections deeper than 5 cm accounted for 68% of the mean depth‐integrated denitrification rate.</p><p>3. Vertical hydraulic gradient and vertical profiles of pore water chloride concentration suggested that deep ground water upwelled through shallow sediments before discharging to the stream channel. The results of a two‐source mixing model based on chloride concentrations suggested that the hyporheic zone was very shallow (&lt;5 cm) in Emmons Creek.</p><p>4. Vertical profiles showed that nitrate concentration in shallow ground water was about 10–60% of the nitrate concentration of deep ground water. The mean nitrate concentrations of deep and shallow ground water were 2.17 and 0.73 mg NO<sub>3</sub>‐N L<sup>−1</sup>, respectively.</p><p>5. Deep ground water tended to be oxic (6.9 mg O<sub>2</sub> L<sup>−1</sup>) but approached anoxia (0.8 mg O<sub>2</sub> L<sup>−1</sup>) after passing through shallow, organic carbon‐rich sediments, which suggests that the decline in the nitrate concentrations of upwelling ground water was because of denitrification.</p><p>6. Collectively, our results suggest that there is substantial nitrate removal occurring in deep sediments, below the hyporheic zone, in Emmons Creek. Our findings suggest that not accounting for nitrate removal in deep sediments could lead to underestimates of nitrogen processing in streams and catchments.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2427.2011.02632.x","issn":"00465070","usgsCitation":"Stelzer, R., Bartsch, L., Richardson, W.B., and Strauss, E., 2011, The dark side of the hyporheic zone: Depth profiles of nitrogen and its processing in stream sediments: Freshwater Biology, v. 56, no. 10, p. 2021-2033, https://doi.org/10.1111/j.1365-2427.2011.02632.x.","productDescription":"13 p.","startPage":"2021","endPage":"2033","costCenters":[],"links":[{"id":244788,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216890,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2011.02632.x"}],"volume":"56","issue":"10","noUsgsAuthors":false,"publicationDate":"2011-06-20","publicationStatus":"PW","scienceBaseUri":"505baa7ee4b08c986b322861","contributors":{"authors":[{"text":"Stelzer, R.S.","contributorId":63193,"corporation":false,"usgs":true,"family":"Stelzer","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":445581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, L.A.","contributorId":7675,"corporation":false,"usgs":true,"family":"Bartsch","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":445578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, W. B.","contributorId":16363,"corporation":false,"usgs":true,"family":"Richardson","given":"W.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":445579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strauss, E.A.","contributorId":26010,"corporation":false,"usgs":true,"family":"Strauss","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":445580,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034401,"text":"70034401 - 2011 - Fluoride geochemistry of thermal waters in Yellowstone National Park: I. Aqueous fluoride speciation","interactions":[],"lastModifiedDate":"2020-01-28T16:41:22","indexId":"70034401","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Fluoride geochemistry of thermal waters in Yellowstone National Park: I. Aqueous fluoride speciation","docAbstract":"<p><span>Thermal water samples from Yellowstone National Park (YNP) have a wide range of pH (1–10), temperature, and high concentrations of fluoride (up to 50</span><span>&nbsp;</span><span>mg/l). High fluoride concentrations are found in waters with field pH higher than 6 (except those in Crater Hills) and temperatures higher than 50</span><span>&nbsp;</span><span>°C based on data from more than 750 water samples covering most thermal areas in YNP from 1975 to 2008. In this study, more than 140 water samples from YNP collected in 2006–2009 were analyzed for free-fluoride activity by ion-selective electrode (ISE) method as an independent check on the reliability of fluoride speciation calculations. The free to total fluoride concentration ratio ranged from &lt;1% at low pH values to &gt;99% at high pH. The wide range in fluoride activity can be explained by strong complexing with H</span><sup>+</sup><span><span>&nbsp;</span>and Al</span><sup>3+</sup><span><span>&nbsp;</span>under acidic conditions and lack of complexing under basic conditions. Differences between the free-fluoride activities calculated with the WATEQ4F code and those measured by ISE were within 0.3–30% for more than 90% of samples at or above 10</span><sup>−6</sup><span><span>&nbsp;</span>molar, providing corroboration for chemical speciation models for a wide range of pH and chemistry of YNP thermal waters. Calculated speciation results show that free fluoride, F</span><sup>−</sup><span>, and major complexes (</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>HF</mtext></mrow><mrow is=&quot;true&quot;><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><mtext is=&quot;true&quot;>aq</mtext><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>0</mn></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">HF(aq)0</span></span><span>, AlF</span><sup>2+</sup><span>,<span>&nbsp;</span></span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>AlF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>+</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">AlF2+</span></span><span>and<span>&nbsp;</span></span><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>AlF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>3</mn></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>0</mn></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">AlF30</span></span><span>) account for more than 95% of total fluoride. Occasionally, some complex species like<span>&nbsp;</span></span><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>AlF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>4</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>-</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">AlF4-</span></span><span>, FeF</span><sup>2+</sup><span>,<span>&nbsp;</span></span><span id=\"MathJax-Element-5-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>FeF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>+</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">FeF2+</span></span><span>, MgF</span><sup>+</sup><span><span>&nbsp;</span>and<span>&nbsp;</span></span><span id=\"MathJax-Element-6-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>BF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow></msub><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><mtext is=&quot;true&quot;>OH</mtext><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>-</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">BF2(OH)2-</span></span><span><span>&nbsp;</span>may comprise 1–10% when the concentrations of the appropriate components are high. According to the simulation results by PHREEQC and calculated results, the ratio of main fluoride species to total fluoride varies as a function of pH and the concentrations and ratios of F and Al.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2011.05.028","issn":"00167037","usgsCitation":"Deng, Y., Nordstrom, D.K., and McCleskey, R.B., 2011, Fluoride geochemistry of thermal waters in Yellowstone National Park: I. Aqueous fluoride speciation: Geochimica et Cosmochimica Acta, v. 75, no. 16, p. 4476-4489, https://doi.org/10.1016/j.gca.2011.05.028.","productDescription":"14 p.","startPage":"4476","endPage":"4489","ipdsId":"IP-023276","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":244406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.05255126953125,\n              44.1151978766043\n            ],\n            [\n              -110.12695312499999,\n              44.1151978766043\n            ],\n            [\n              -110.12695312499999,\n              44.990055522906864\n            ],\n            [\n              -111.05255126953125,\n              44.990055522906864\n            ],\n            [\n              -111.05255126953125,\n              44.1151978766043\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"16","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1288e4b0c8380cd54343","contributors":{"authors":[{"text":"Deng, Y.","contributorId":57686,"corporation":false,"usgs":true,"family":"Deng","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":445605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":445604,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034404,"text":"70034404 - 2011 - Sparrow modeling to understand water-quality conditions in major regions of the United States: A featured collection introduction","interactions":[],"lastModifiedDate":"2021-04-22T11:54:40.784255","indexId":"70034404","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Sparrow modeling to understand water-quality conditions in major regions of the United States: A featured collection introduction","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Water Resources Association.","doi":"10.1111/j.1752-1688.2011.00585.x","issn":"1093474X","usgsCitation":"Preston, S.D., Alexander, R.B., and Wolock, D., 2011, Sparrow modeling to understand water-quality conditions in major regions of the United States: A featured collection introduction: Journal of the American Water Resources Association, v. 47, no. 5, p. 887-890, https://doi.org/10.1111/j.1752-1688.2011.00585.x.","productDescription":"4 p.","startPage":"887","endPage":"890","costCenters":[],"links":[{"id":475222,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00585.x","text":"Publisher Index Page"},{"id":244440,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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States\"}}]}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505b9410e4b08c986b31a844","contributors":{"authors":[{"text":"Preston, S. D.","contributorId":105770,"corporation":false,"usgs":true,"family":"Preston","given":"S.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":445612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, R. B.","contributorId":108103,"corporation":false,"usgs":true,"family":"Alexander","given":"R.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":445613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolock, D.M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":36601,"corporation":false,"usgs":true,"family":"Wolock","given":"D.M.","affiliations":[],"preferred":false,"id":445611,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034405,"text":"70034405 - 2011 - Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR","interactions":[],"lastModifiedDate":"2021-04-21T16:38:21.588417","indexId":"70034405","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR","docAbstract":"<p><span>Airborne light detection and ranging (LiDAR) data were used to map water level (WL) and hydraulic gradients (δH/δx) in the Mackenzie Delta. The LiDAR WL data were validated against eight independent hydrometric gauge measurements and demonstrated mean offsets from − 0·22 to + 0·04 m (σ&lt; 0·11). LiDAR‐based WL gradients could be estimated with confidence over channel lengths exceeding 5–10 km where the WL change exceeded local noise levels in the LiDAR data. For the entire Delta, the LiDAR sample coverage indicated a rate of change in longitudinal gradient (δ</span><sup>2</sup><span>H/δx) of 5·5 × 10</span><sup>−10</sup><span>&nbsp;m m</span><sup>−2</sup><span>; therefore offering a potential means to estimate average flood stage hydraulic gradient for areas of the Delta not sampled or monitored. In the Outer Delta, within‐channel and terrain gradient measurements all returned a consistent estimate of − 1 × 10</span><sup>−5</sup><span>&nbsp;m m</span><sup>−1</sup><span>, suggesting that this is a typical hydraulic gradient for the downstream end of the Delta. For short reaches (&lt;10 km) of the Peel and Middle Channels in the middle of the Delta, significant and consistent hydraulic gradient estimates of − 5 × 10</span><sup>−5</sup><span>&nbsp;m m</span><sup>−1</sup><span>&nbsp;were observed. Evidence that hydraulic gradients can vary over short distances, however, was observed in the Peel Channel immediately upstream of Aklavik. A positive elevation anomaly (bulge) of &gt; 0·1 m was observed at a channel constriction entering a meander bend, suggesting a localized modification of the channel hydraulics. Furthermore, water levels in the anabranch channels of the Peel River were almost 1 m higher than in Middle Channel of the Mackenzie River. This suggests: (i) the channels are elevated and have shallower bank heights in this part of the delta, leading to increased cross‐delta and along‐channel hydraulic gradients; and/or (ii) a proportion of the Peel River flow is lost to Middle Channel due to drainage across the delta through anastamosing channels. This study has demonstrated that airborne LiDAR data contain valuable information describing Arctic river delta water surface and hydraulic attributes that would be challenging to acquire by other means.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8167","issn":"08856087","usgsCitation":"Hopkinson, C., Crasto, N., Marsh, P., Forbes, D., and Lesack, L., 2011, Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR: Hydrological Processes, v. 25, no. 19, p. 2995-3011, https://doi.org/10.1002/hyp.8167.","productDescription":"17 p.","startPage":"2995","endPage":"3011","costCenters":[],"links":[{"id":244441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216563,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8167"}],"country":"Canada","otherGeospatial":"Mackenzie Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -136.669921875,\n              67.09310451852075\n            ],\n            [\n              -130.60546875,\n              67.09310451852075\n            ],\n            [\n              -130.60546875,\n              69.90011762668541\n            ],\n            [\n              -136.669921875,\n              69.90011762668541\n            ],\n            [\n              -136.669921875,\n              67.09310451852075\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"19","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"505a3e71e4b0c8380cd63dac","contributors":{"authors":[{"text":"Hopkinson, C.","contributorId":67749,"corporation":false,"usgs":true,"family":"Hopkinson","given":"C.","email":"","affiliations":[],"preferred":false,"id":445616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crasto, N.","contributorId":21369,"corporation":false,"usgs":true,"family":"Crasto","given":"N.","email":"","affiliations":[],"preferred":false,"id":445614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsh, P.","contributorId":99279,"corporation":false,"usgs":true,"family":"Marsh","given":"P.","affiliations":[],"preferred":false,"id":445618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forbes, D.","contributorId":57681,"corporation":false,"usgs":true,"family":"Forbes","given":"D.","email":"","affiliations":[],"preferred":false,"id":445615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lesack, L.","contributorId":84177,"corporation":false,"usgs":true,"family":"Lesack","given":"L.","email":"","affiliations":[],"preferred":false,"id":445617,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034406,"text":"70034406 - 2011 - Hillslope chemical weathering across  Paraná, Brazil: a data mining-GIS hybrid approach","interactions":[],"lastModifiedDate":"2015-03-12T13:29:38","indexId":"70034406","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Hillslope chemical weathering across  Paraná, Brazil: a data mining-GIS hybrid approach","docAbstract":"<p><span>Self-organizing map (SOM) and geographic information system (GIS) models were used to investigate the nonlinear relationships associated with geochemical weathering processes at local (~100&nbsp;km</span><sup>2</sup><span>) and regional (~50,000&nbsp;km</span><sup>2</sup><span>) scales. The data set consisted of 1) 22 B-horizon soil variables: P, C, pH, Al, total acidity, Ca, Mg, K, total cation exchange capacity, sum of exchangeable bases, base saturation, Cu, Zn, Fe, B, S, Mn, gammaspectrometry (total count, potassium, thorium, and uranium) and magnetic susceptibility measures; and 2) six topographic variables: elevation, slope, aspect, hydrological accumulated flux, horizontal curvature and vertical curvature. It is characterized at 304 locations from a quasi-regular grid spaced about 24&nbsp;km across the state of Paran&aacute;. This data base was split into two subsets: one for analysis and modeling (274 samples) and the other for validation (30 samples) purposes. The self-organizing map and clustering methods were used to identify and classify the relations among solid-phase chemical element concentrations and GIS derived topographic models. The correlation between elevation and k-means clusters related the relative position inside hydrologic macro basins, which was interpreted as an expression of the weathering process reaching a steady-state condition at the regional scale. Locally, the chemical element concentrations were related to the vertical curvature representing concave&ndash;convex hillslope features, where concave hillslopes with convergent flux tends to be a reducing environment and convex hillslopes with divergent flux, oxidizing environments. Stochastic cross validation demonstrated that the SOM produced unbiased classifications and quantified the relative amount of uncertainty in predictions. This work strengthens the hypothesis that, at B-horizon steady-state conditions, the terrain morphometry were linked with the soil geochemical weathering in a two-way dependent process: the topographic relief was a factor on environmental geochemistry while chemical weathering was for terrain feature delineation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2011.05.006","issn":"0169555X","usgsCitation":"Iwashita, F., Friedel, M.J., Filho, C., and Fraser, S.J., 2011, Hillslope chemical weathering across  Paraná, Brazil: a data mining-GIS hybrid approach: Geomorphology, v. 132, no. 3-4, p. 167-175, https://doi.org/10.1016/j.geomorph.2011.05.006.","productDescription":"9 p.","startPage":"167","endPage":"175","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244470,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216590,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2011.05.006"}],"country":"Brazil","state":"Parana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -54.58007812499999,\n              -26.391869671769022\n            ],\n            [\n              -54.58007812499999,\n              -22.45164881912619\n            ],\n            [\n              -47.9443359375,\n              -22.45164881912619\n            ],\n            [\n              -47.9443359375,\n              -26.391869671769022\n            ],\n            [\n              -54.58007812499999,\n              -26.391869671769022\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a314ee4b0c8380cd5ddf4","contributors":{"authors":[{"text":"Iwashita, Fabio","contributorId":72287,"corporation":false,"usgs":true,"family":"Iwashita","given":"Fabio","email":"","affiliations":[],"preferred":false,"id":445622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":445621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Filho, Carlos Roberto de Souza","contributorId":83361,"corporation":false,"usgs":true,"family":"Filho","given":"Carlos Roberto de Souza","affiliations":[],"preferred":false,"id":445619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraser, Stephen J.","contributorId":87769,"corporation":false,"usgs":true,"family":"Fraser","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":445620,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034410,"text":"70034410 - 2011 - Nutrient loadings to streams of the Continental United States from municipal and industrial effluent","interactions":[],"lastModifiedDate":"2021-04-22T11:52:32.418992","indexId":"70034410","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Nutrient loadings to streams of the Continental United States from municipal and industrial effluent","docAbstract":"<p><span>Data from the United States Environmental Protection Agency Permit Compliance System national database were used to calculate annual total nitrogen (TN) and total phosphorus (TP) loads to surface waters from municipal and industrial facilities in six major regions of the United States for 1992, 1997, and 2002. Concentration and effluent flow data were examined for approximately 118,250 facilities in 45 states and the District of Columbia. Inconsistent and incomplete discharge locations, effluent flows, and effluent nutrient concentrations limited the use of these data for calculating nutrient loads. More concentrations were reported for major facilities, those discharging more than 1 million gallons per day, than for minor facilities, and more concentrations were reported for TP than for TN. Analytical methods to check and improve the quality of the Permit Compliance System data were used. Annual loads were calculated using “typical pollutant concentrations” to supplement missing concentrations based on the type and size of facilities. Annual nutrient loads for over 26,600 facilities were calculated for at least one of the three years. Sewage systems represented 74% of all TN loads and 58% of all TP loads. This work represents an initial set of data to develop a comprehensive and consistent national database of point‐source nutrient loads. These loads can be used to inform a wide range of water‐quality management, watershed modeling, and research efforts at multiple scales.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00576.x","issn":"1093474X","usgsCitation":"Maupin, M., and Ivahnenko, T., 2011, Nutrient loadings to streams of the Continental United States from municipal and industrial effluent: Journal of the American Water Resources Association, v. 47, no. 5, p. 950-964, https://doi.org/10.1111/j.1752-1688.2011.00576.x.","productDescription":"15 p.","startPage":"950","endPage":"964","costCenters":[],"links":[{"id":475220,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3307619","text":"External Repository"},{"id":244563,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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