The statistical watershed model SPARROW (SPAtially Referenced Regression On Watershed attributes) was used to estimate the sources and transport of total phosphorus (TP) in surface waters of the United States. We calibrated the model using stream measurements of TP from 336 watersheds of mixed land use and spatial data on topography, soils, stream hydrography, and land use (agriculture, forest, shrub/grass, urban). The model explained 87% of the spatial variability in log transformed stream TP flux (kg yr-1). Predictions of stream yield (kg ha-1 yr-1) were typically within 45% of the observed values at the monitoring sites. The model identified appreciable effects of soils, streams, and reservoirs on TP transport, The estimated aquatic rates of phosphorus removal declined with increasing stream size and rates of water flushing in reservoirs (i.e. areal hydraulic loads). A phosphorus budget for the 2.9 million km2 Mississippi River Basin provides a detailed accounting of TP delivery to streams, the removal of TP in surface waters, and the stream export of TP from major interior watersheds for sources associated with each land-use type.
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B.","contributorId":108103,"corporation":false,"usgs":true,"family":"Alexander","given":"R.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":412784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, R. A.","contributorId":60584,"corporation":false,"usgs":true,"family":"Smith","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":412783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarz, G. E. 0000-0002-9239-4566","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":14852,"corporation":false,"usgs":true,"family":"Schwarz","given":"G. E.","affiliations":[],"preferred":false,"id":412782,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70027210,"text":"70027210 - 2004 - Lack of spatial genetic structure among nesting and wintering King Eiders","interactions":[],"lastModifiedDate":"2018-07-18T10:03:05","indexId":"70027210","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Lack of spatial genetic structure among nesting and wintering King Eiders","docAbstract":"The King Eider (Somateria spectabilis) has been delineated into two broadly distributed breeding populations in North America (the western and eastern Arctic) on the basis of banding data and their use of widely separated Pacific and Atlantic wintering areas. Little is known about the level of gene flow between these two populations. Also unknown is whether behavioral patterns common among migratory waterfowl, such as site fidelity to wintering areas and pair formation at these sites, have existed for sufficient time to create a population structure defined by philopatry to wintering rather than to nesting locations. We used six nuclear microsatellite DNA loci and cytochrome b mitochondrial DNA sequence data to estimate the extent of spatial genetic differentiation among nesting and wintering areas of King Eiders across North America and adjacent regions. Estimates of interpopulation variance in microsatellite allele and mtDNA haplotype frequency were both low and nonsignificant based on samples from three wintering and four nesting areas. Results from nested clade analysis, mismatch distributions, and coalescent-based analyses suggest historical population growth and gene flow that collectively may have homogenized gene frequencies. The presence of several unique mtDNA haplotypes among birds wintering near Greenland suggests that gene flow may now be more limited between the western and eastern Arctic, which is consistent with banding data.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/7357","issn":"00105422","usgsCitation":"Pearce, J.M., Talbot, S.L., Pierson, B.J., Petersen, M.R., Scribner, K.T., Dickson, D.L., and Mosbech, A., 2004, Lack of spatial genetic structure among nesting and wintering King Eiders: Condor, v. 106, no. 2, p. 229-240, https://doi.org/10.1650/7357.","productDescription":"12 p.","startPage":"229","endPage":"240","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":235301,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a412de4b0c8380cd65371","contributors":{"authors":[{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":412763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":412760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierson, Barbara J. 0000-0001-8233-874X bpierson@usgs.gov","orcid":"https://orcid.org/0000-0001-8233-874X","contributorId":194939,"corporation":false,"usgs":true,"family":"Pierson","given":"Barbara","email":"bpierson@usgs.gov","middleInitial":"J.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":412758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, Margaret R. 0000-0001-6082-3189 mrpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-6082-3189","contributorId":167729,"corporation":false,"usgs":true,"family":"Petersen","given":"Margaret","email":"mrpetersen@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":412761,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scribner, Kim T.","contributorId":95434,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim","email":"","middleInitial":"T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":412762,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dickson, D. Lynne.","contributorId":26121,"corporation":false,"usgs":false,"family":"Dickson","given":"D.","email":"","middleInitial":"Lynne.","affiliations":[],"preferred":false,"id":412759,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mosbech, Anders","contributorId":105501,"corporation":false,"usgs":false,"family":"Mosbech","given":"Anders","email":"","affiliations":[],"preferred":false,"id":412764,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70027206,"text":"70027206 - 2004 - Historical trends in occurrence and atmospheric inputs of halogenated volatile organic compounds in untreated ground water used as a source of drinking water","interactions":[],"lastModifiedDate":"2018-11-14T10:34:22","indexId":"70027206","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Historical trends in occurrence and atmospheric inputs of halogenated volatile organic compounds in untreated ground water used as a source of drinking water","docAbstract":"Analyses of samples of untreated ground water from 413 community-, non-community- (such as restaurants), and domestic-supply wells throughout the US were used to determine the frequency of detection of halogenated volatile organic compounds (VOCs) in drinking-water sources. The VOC data were compiled from archived chromatograms of samples analyzed originally for chlorofluorocarbons (CFCs) by purge-and-trap gas chromatography with an electron-capture detector (GC-ECD). Concentrations of the VOCs could not be ascertained because standards were not routinely analyzed for VOCs other than trichloromonofluoromethane (CFC-11), dichlorodifluoromethane (CFC-12) and 1,1,2-trichloro-1,2,2-trifluoroethane (CFC-113). Nevertheless, the peak areas associated with the elution times of other VOCs on the chromatograms can be classified qualitatively to assess concentrations at a detection limit on the order of parts per quadrillion. Three or more VOCs were detected in 100% (percent) of the chromatograms, and 77.2% of the samples contained 10 or more VOCs. The maximum number of VOCs detected in any sample was 24. Modeled ground-water residence times, determined from concentrations of CFC-12, were used to assess historical trends in the cumulative occurrence of all VOCs detected in this analysis, as well as the occurrence of individual VOCs, such as CFC-11, carbon tetrachloride (CCl4), chloroform and tetrachloroethene (PCE). The detection frequency for all of the VOCs detected has remained relatively constant from approximately 1940 to 2000; however, the magnitude of the peak areas on the chromatograms for the VOCs in the water samples has increased from 1940 to 2000. For CFC-11, CCl4, chloroform and PCE, small peaks decrease from 1940 to 2000, and large peaks increase from 1940 to 2000. The increase in peak areas on the chromatograms from analyses of more recently recharged water is consistent with reported increases in atmospheric concentrations of the VOCs. Approximately 44% and 6.7% of the CCl4 and PCE detections, respectively, in pre-1940 water, and 68% and 62% of the CCl4 and PCE detections, respectively, in water recharged in 2000 exceed solubility equilibrium with average atmospheric concentrations. These exceedences can be attributed to local atmospheric enrichment or direct contaminant input to ground-water flow systems. The detection of VOCs at concentrations indicative of atmospheric sources in 100% of the samples indicates that untreated drinking water from ground-water sources in the US recharged within the past 60 years has been affected by anthropogenic activity. Additional inputs from a variety of sources such as spills, underground injections and leaking landfills or storage tanks increasingly are providing additional sources of contamination to ground water used as drinking-water sources.
The adsorption of uranyl on standard Georgia kaolinites (KGa-1 and KGa-1B) was studied as a function of pH (3–10), total U (1 and 10 μmol/l), and mass loading of clay (4 and 40 g/l). The uptake of uranyl in air-equilibrated systems increased with pH and reached a maximum in the near-neutral pH range. At higher pH values, the sorption decreased due to the presence of aqueous uranyl carbonate complexes. One kaolinite sample was examined after the uranyl uptake experiments by transmission electron microscopy (TEM), using energy dispersive X-ray spectroscopy (EDS) to determine the U content. It was found that uraniumwas preferentially adsorbed by Ti-rich impurity phases (predominantly anatase), which are present in the kaolinite samples. Uranyl sorption on the Georgia kaolinites was simulated with U sorption reactions on both titanol and aluminol sites, using a simple non-electrostatic surface complexation model (SCM). The relative amounts of U-binding >TiOH and >AlOH sites were estimated from the TEM/EDS results. A ternary uranyl carbonate complex on the titanol site improved the fit to the experimental data in the higher pH range. The final model contained only three optimised log K values, and was able to simulate adsorption data across a wide range of experimental conditions. The >TiOH (anatase) sites appear to play an important role in retaining U at low uranyl concentrations. As kaolinite often contains trace TiO2, its presence may need to be taken into account when modelling the results of sorption experiments with radionuclides or trace metals on kaolinite.
One of the limitations of deformation measurements made with interferometric synthetic aperture radar (InSAR) is that an interferogram only measures one component of the surface deformation — in the satellite's line of sight. We investigate strategies for mapping surface deformation in three dimensions by using multiple interferograms, with different imaging geometries. Geometries for both current and future missions are evaluated, and their abilities to resolve the displacement vector are compared. The north component is always the most difficult to determine using data from near-polar orbiting satellites. However, a satellite with an inclination of about 60°/120° would enable all three components to be well resolved. We attempt to resolve the 3D displacements for the 23 October 2002 Nenana Mountain (Alaska) Earthquake. The north component's error is much larger than the signal, but proxies for eastward and vertical motion can be determined if the north component is assumed negligible. Inversions of hypothetical coseismic interferograms demonstrate that earthquake model parameters can be well recovered from two interferograms, acquired on ascending and descending tracks.
","language":"English","publisher":"Wiley","doi":"10.1029/2003GL018827","issn":"00948276","usgsCitation":"Wright, T.J., Parsons, B.E., and Lu, Z., 2004, Toward mapping surface deformation in three dimensions using InSAR: Geophysical Research Letters, v. 31, no. 1, L01607: 5 p., https://doi.org/10.1029/2003GL018827.","productDescription":"L01607: 5 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":235195,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2004-01-14","publicationStatus":"PW","scienceBaseUri":"505bb5b9e4b08c986b326867","contributors":{"authors":[{"text":"Wright, Tim J.","contributorId":84959,"corporation":false,"usgs":true,"family":"Wright","given":"Tim","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":412613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parsons, Barry E.","contributorId":36344,"corporation":false,"usgs":true,"family":"Parsons","given":"Barry","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":412612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":412614,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70026787,"text":"70026787 - 2004 - The effects of habitat resolution on models of avian diversity and distributions: A comparison of two land-cover classifications","interactions":[],"lastModifiedDate":"2018-07-31T12:26:05","indexId":"70026787","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The effects of habitat resolution on models of avian diversity and distributions: A comparison of two land-cover classifications","docAbstract":"Quantifying patterns is a key element of landscape analysis. One aspect of this quantification of particular importance to landscape ecologists is the classification of continuous variables to produce categorical variables such as land-cover type or elevation stratum. Although landscape ecologists are fully aware of the importance of spatial resolution in ecological investigations, the potential importance of the resolution of classifications has received little attention. Here we demonstrate the effects of using two different land-cover classifications to predict avian species richness and the occurrences of six individual species across the conterminous United States. We compared models built with a data set based on 14 coarsely resolved land-cover variables to models built with a data set based on 160 finely resolved land-cover variables. In general, comparable models built with the two data sets fit the data to similar degrees, but often produced strikingly different predictions in various parts of the country. By comparing the predictions made by pairs of models, we determined in which regions of the US predictions were most sensitive to differences in land-cover classification. In general, these sensitive areas were different for four of the individual species and for predictions of species richness, indicating that alternate classifications will have different effects in the analyses of different ecological phenomena and that these effects will likely vary geographically. Our results lead us to emphasize the importance of the resolution to which continuous variables are classified in the design of ecological studies.","language":"English","publisher":"Springer","doi":"10.1023/B:LAND.0000036151.28327.01","issn":"09212973","usgsCitation":"Lawler, J.J., O’Connor, R.J., Hunsaker, C.T., Jones, K.B., Loveland, T., and White, D., 2004, The effects of habitat resolution on models of avian diversity and distributions: A comparison of two land-cover classifications: Landscape Ecology, v. 19, no. 5, p. 517-532, https://doi.org/10.1023/B:LAND.0000036151.28327.01.","productDescription":"16 p.","startPage":"517","endPage":"532","numberOfPages":"16","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":235309,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bab80e4b08c986b322eb3","contributors":{"authors":[{"text":"Lawler, Joshua J.","contributorId":73327,"corporation":false,"usgs":false,"family":"Lawler","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":411065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connor, Raymond. J.","contributorId":206571,"corporation":false,"usgs":false,"family":"O’Connor","given":"Raymond.","email":"","middleInitial":"J.","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":411066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunsaker, Carolyn T.","contributorId":177336,"corporation":false,"usgs":false,"family":"Hunsaker","given":"Carolyn","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":411069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, K. Bruce","contributorId":66105,"corporation":false,"usgs":true,"family":"Jones","given":"K.","email":"","middleInitial":"Bruce","affiliations":[],"preferred":false,"id":411068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loveland, Thomas R. 0000-0003-3114-6646","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":106125,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":411070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Denis","contributorId":206572,"corporation":false,"usgs":false,"family":"White","given":"Denis","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":411067,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70027270,"text":"70027270 - 2004 - Ecological correlates of fish movement in a network of Virginia streams","interactions":[],"lastModifiedDate":"2012-03-12T17:20:26","indexId":"70027270","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","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":"Ecological correlates of fish movement in a network of Virginia streams","docAbstract":"Identifying factors that influence fish movement is a key step in predicting how populations respond to environmental change. Using mark-recapture (four species) and trap capture (eight species) data, we examined relationships between three attributes of movement and 15 ecological variables. The probability of emigrating from a reach was positively related to intermittency (one species) and body size (one species) and negatively related to distance from the mainstem creek (two species) and habitat complexity (one species). The number of fish moving upstream through traps was positively related to increases in flow (five species), day length (three species), and water temperature (two species); the number moving through downstream traps was positively associated with increases in flow (three species). Distance moved was greater for fish moving through unsuitable reaches (one species). Floods have a pervasive effect on fish movement, and human activities that affect flows will have widespread implications. The importance of other factors varies interspecifically, which may translate into variation in persistence and colonization rates. For example, species that exhibit reach fidelity in complex habitats may increase movement if habitats are homogenized. These species may suffer population declines because of the cost of increased movement and may ultimately be replaced by ecological generalists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1139/F04-096","issn":"0706652X","usgsCitation":"Albanese, B., Angermeier, P., and Dorai-Raj, S., 2004, Ecological correlates of fish movement in a network of Virginia streams: Canadian Journal of Fisheries and Aquatic Sciences, v. 61, no. 6, p. 857-869, https://doi.org/10.1139/F04-096.","startPage":"857","endPage":"869","numberOfPages":"13","costCenters":[],"links":[{"id":209329,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/F04-096"},{"id":235636,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a054de4b0c8380cd50d44","contributors":{"authors":[{"text":"Albanese, B.","contributorId":47136,"corporation":false,"usgs":true,"family":"Albanese","given":"B.","email":"","affiliations":[],"preferred":false,"id":412975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angermeier, P. L. 0000-0003-2864-170X","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":6410,"corporation":false,"usgs":true,"family":"Angermeier","given":"P. L.","affiliations":[],"preferred":false,"id":412973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorai-Raj, S.","contributorId":21328,"corporation":false,"usgs":true,"family":"Dorai-Raj","given":"S.","email":"","affiliations":[],"preferred":false,"id":412974,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70027501,"text":"70027501 - 2004 - EXAFS study of mercury(II) sorption to Fe- and Al-(hydr)oxides: I. Effects of pH","interactions":[],"lastModifiedDate":"2012-03-12T17:20:48","indexId":"70027501","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2222,"text":"Journal of Colloid and Interface Science","active":true,"publicationSubtype":{"id":10}},"title":"EXAFS study of mercury(II) sorption to Fe- and Al-(hydr)oxides: I. Effects of pH","docAbstract":"The study of mercury sorption products in model systems using appropriate in situ molecular-scale probes can provide detailed information on the modes of sorption at mineral/water interfaces. Such studies are essential for assessing the influence of sorption processes on the transport of Hg in contaminated natural systems. Macroscopic uptake of Hg(II) on goethite (??-FeOOH), ??-alumina (??-Al2O3), and bayerite (??-Al(OH)3) as a function of pH has been combined with Hg L III-edge EXAFS spectroscopy, FTIR spectroscopy, and bond valence analysis of possible sorption products to provide this type of information. Macroscopic uptake measurements show that Hg(II) sorbs strongly to fine-grained powders of synthetic goethite (Hg sorption density ??=0.39-0.42 ??mol/m2) and bayerite (??=0.39-0.44 ??mol/m2), while sorbing more weakly to ??-alumina (??=0.04-0.13 ??mol/m 2). EXAFS spectroscopy on the sorption samples shows that the dominant mode of Hg sorption on these phases is as monodentate and bidentate inner-sphere complexes. The mode of Hg(II) sorption to goethite was similar over the pH range 4.3-7.4, as were those of Hg(II) sorption to bayerite over the pH range 5.1-7.9. Conversion of the ??-Al2O3 sorbent to a bayerite-like phase in addition to the apparent reduction of Hg(II) to Hg(I), possibly by photoreduction during EXAFS data collection, resulted in enhanced Hg uptake from pH 5.2-7.8 and changes in the modes of sorption that correlate with the formation of the bayerite-like phase. Bond valence calculations are consistent with the sorption modes proposed from EXAFS analysis. EXAFS analysis of Hg(II) sorption products on a natural Fe oxyhydroxide precipitate and Al/Si-bearing flocculent material showed sorption products and modes of surface attachment similar to those for the model substrates, indicating that the model substrates are useful surrogates for the natural sediments. ?? 2003 Elsevier Inc. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Colloid and Interface Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/S0021-9797(03)00330-8","issn":"00219797","usgsCitation":"Kim, C., Rytuba, J.J., and Brown, G.E., 2004, EXAFS study of mercury(II) sorption to Fe- and Al-(hydr)oxides: I. Effects of pH: Journal of Colloid and Interface Science, v. 271, no. 1, p. 1-15, https://doi.org/10.1016/S0021-9797(03)00330-8.","startPage":"1","endPage":"15","numberOfPages":"15","costCenters":[],"links":[{"id":210928,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0021-9797(03)00330-8"},{"id":238016,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"271","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a046be4b0c8380cd50992","contributors":{"authors":[{"text":"Kim, C.S.","contributorId":54365,"corporation":false,"usgs":true,"family":"Kim","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":413917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rytuba, J. J.","contributorId":83082,"corporation":false,"usgs":true,"family":"Rytuba","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":413918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Gordon E. Jr.","contributorId":10166,"corporation":false,"usgs":true,"family":"Brown","given":"Gordon","suffix":"Jr.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":413916,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70026791,"text":"70026791 - 2004 - Tectonic histories between Alba Patera and Syria Planum, Mars","interactions":[],"lastModifiedDate":"2012-03-12T17:20:28","indexId":"70026791","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Tectonic histories between Alba Patera and Syria Planum, Mars","docAbstract":"Syria Planum and Alba Patera are two of the most prominent features of magmatic-driven activity identified for the Tharsis region and perhaps for all of Mars. In this study, we have performed a Geographic Information System-based comparative investigation of their tectonic histories using published geologic map information and Mars Orbiter Laser Altimetry (MOLA) data. Our primary objective is to assess their evolutional histories by focusing on their extent of deformation in space and time through stratigraphic, paleotectonic, topographic, and geomorphologic analyses. Though there are similarities among the two prominent features, there are several distinct differences, including timing deformational extent, and tectonic intensity of formation. Whereas Alba Patera displays a major pulse of activity during the Late Hesperian/Early Amazonian, Syria Planum is a long-lived center that displays a more uniform distribution of simple graben densities ranging from the Noachian to the Amazonian, many of which occur at greater distances away from the primary center of activity. The histories of the two features presented here are representative of the complex, long-lived evolutional history of Tharsis. ?? 2004 Elsevier Inc. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.icarus.2004.04.018","issn":"00191035","usgsCitation":"Anderson, R.C., Dohm, J.M., Haldemann, A.F., Hare, T., and Baker, V., 2004, Tectonic histories between Alba Patera and Syria Planum, Mars: Icarus, v. 171, no. 1, p. 31-38, https://doi.org/10.1016/j.icarus.2004.04.018.","startPage":"31","endPage":"38","numberOfPages":"8","costCenters":[],"links":[{"id":235387,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":209158,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2004.04.018"}],"volume":"171","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba463e4b08c986b3202dc","contributors":{"authors":[{"text":"Anderson, R. C.","contributorId":9755,"corporation":false,"usgs":true,"family":"Anderson","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":411085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dohm, J. M.","contributorId":102150,"corporation":false,"usgs":true,"family":"Dohm","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":411089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haldemann, A. F. C.","contributorId":33437,"corporation":false,"usgs":false,"family":"Haldemann","given":"A.","email":"","middleInitial":"F. C.","affiliations":[],"preferred":false,"id":411086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hare, T.M. 0000-0001-8842-389X","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":43828,"corporation":false,"usgs":true,"family":"Hare","given":"T.M.","affiliations":[],"preferred":false,"id":411087,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baker, V.R.","contributorId":47079,"corporation":false,"usgs":true,"family":"Baker","given":"V.R.","email":"","affiliations":[],"preferred":false,"id":411088,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70027276,"text":"70027276 - 2004 - Non-double-couple microearthquakes at Long Valley caldera, California, provide evidence for hydraulic fracturing","interactions":[],"lastModifiedDate":"2019-05-17T10:43:55","indexId":"70027276","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Non-double-couple microearthquakes at Long Valley caldera, California, provide evidence for hydraulic fracturing","docAbstract":"Most of 26 small (0.4≲M≲3.1) microearthquakes at Long Valley caldera in mid-1997, analyzed using data from a dense temporary network of 69 digital three-component seismometers, have significantly non-double-couple focal mechanisms, inconsistent with simple shear faulting. We determined their mechanisms by inverting P- and S-wave polarities and amplitude ratios using linear-programming methods, and tracing rays through a three-dimensional Earth model derived using tomography. More than 80% of the mechanisms have positive (volume increase) isotropic components and most have compensated linear-vector dipole components with outward-directed major dipoles. The simplest interpretation of these mechanisms is combined shear and extensional faulting with a volume-compensating process, such as rapid flow of water, steam, or CO2 into opening tensile cracks. Source orientations of earthquakes in the south moat suggest extensional faulting on ESE-striking subvertical planes, an orientation consistent with planes defined by earthquake hypocenters. The focal mechanisms show that clearly defined hypocentral planes in different locations result from different source processes. One such plane in the eastern south moat is consistent with extensional faulting, while one near Casa Diablo Hot Springs reflects en echelon right-lateral shear faulting. Source orientations at Mammoth Mountain vary systematically with location, indicating that the volcano influences the local stress field. Events in a ‘spasmodic burst’ at Mammoth Mountain have practically identical mechanisms that indicate nearly pure compensated tensile failure and high fluid mobility. Five earthquakes had mechanisms involving small volume decreases, but these may not be significant. No mechanisms have volumetric moment fractions larger than that of a force dipole, but the reason for this fact is unknown.
","language":"English","doi":"10.1016/S0377-0273(03)00420-7","issn":"03770273","usgsCitation":"Foulger, G., Julian, B., Hill, D., Pitt, A., Malin, P., and Shalev, E., 2004, Non-double-couple microearthquakes at Long Valley caldera, California, provide evidence for hydraulic fracturing: Journal of Volcanology and Geothermal Research, v. 132, no. 1, p. 45-71, https://doi.org/10.1016/S0377-0273(03)00420-7.","productDescription":"27 p.","startPage":"45","endPage":"71","numberOfPages":"27","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":235171,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":209009,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0377-0273(03)00420-7"}],"country":"United States","state":"California","otherGeospatial":"Long Valley caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.96545410156251,\n 37.62075814551956\n ],\n [\n -118.60427856445311,\n 37.62075814551956\n ],\n [\n -118.60427856445311,\n 37.79350762410675\n ],\n [\n -118.96545410156251,\n 37.79350762410675\n ],\n [\n -118.96545410156251,\n 37.62075814551956\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"132","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6740e4b0c8380cd73245","contributors":{"authors":[{"text":"Foulger, G.R.","contributorId":14439,"corporation":false,"usgs":false,"family":"Foulger","given":"G.R.","email":"","affiliations":[],"preferred":false,"id":412995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Julian, B.R.","contributorId":101272,"corporation":false,"usgs":true,"family":"Julian","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":412999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, D.P.","contributorId":27432,"corporation":false,"usgs":true,"family":"Hill","given":"D.P.","email":"","affiliations":[],"preferred":false,"id":412996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitt, A.D.","contributorId":41440,"corporation":false,"usgs":true,"family":"Pitt","given":"A.D.","affiliations":[],"preferred":false,"id":412997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Malin, P.E.","contributorId":108104,"corporation":false,"usgs":true,"family":"Malin","given":"P.E.","email":"","affiliations":[],"preferred":false,"id":413000,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shalev, E.","contributorId":95659,"corporation":false,"usgs":true,"family":"Shalev","given":"E.","email":"","affiliations":[],"preferred":false,"id":412998,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":1015190,"text":"1015190 - 2004 - Nest survival estimation: A review of alternatives to the Mayfield estimator","interactions":[],"lastModifiedDate":"2021-03-25T19:37:34.904223","indexId":"1015190","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Nest survival estimation: A review of alternatives to the Mayfield estimator","docAbstract":"Reliable estimates of nest survival are essential for assessing strategies for avian conservation. We review the history of modifications and alternatives for estimating nest survival, with a focus on four techniques: apparent nest success, the Mayfield estimator, the Stanley method, and program MARK. The widely used Mayfield method avoids the known positive bias inherent in apparent nest success by estimating daily survival rates using the number of exposure days, eliminating the need to monitor nests from initiation. Concerns that some of Mayfield's assumptions were restrictive stimulated the development of new techniques. Stanley's method allows for calculation of stage-specific daily survival rates when transition and failure dates are unknown, and eliminates Mayfield's assumption that failure occurred midway through the nest-check interval. Program MARK obviates Mayfield's assumption of constant daily survival within nesting stages and evaluates variation in nest survival as a function of biologically relevant factors. These innovative methods facilitate the evaluation of nest survival using an information-theoretic approach. We illustrate use of these methods with Lark Bunting (Calamospiza melanocorys) nest data from the Pawnee National Grassland, Colorado. Nest survival estimates calculated using Mayfield, Stanley, and MARK methods were similar, but apparent nest success estimates ranged 1– 24% greater than the other estimates. MARK analysis revealed that survival of Lark Bunting nests differed between site–year groups, declined with both nest age and time in season, but did not vary with weather parameters. We encourage researchers to use these approaches to gain reliable and meaningful nest survival estimates.
","language":"English","publisher":"American Ornitological Society","doi":"10.1093/condor/106.3.472","usgsCitation":"Jehle, G., Yackel Adams, A., Savidge, J.A., and Skagen, S., 2004, Nest survival estimation: A review of alternatives to the Mayfield estimator: The Condor, v. 106, no. 3, p. 472-484, https://doi.org/10.1093/condor/106.3.472.","productDescription":"13 p.","startPage":"472","endPage":"484","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":478055,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/condor/106.3.472","text":"Publisher Index Page"},{"id":134270,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae92d","contributors":{"authors":[{"text":"Jehle, G.","contributorId":27414,"corporation":false,"usgs":false,"family":"Jehle","given":"G.","email":"","affiliations":[],"preferred":false,"id":322477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackel Adams, A. A. 0000-0002-7044-8447","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":16792,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"A. A.","affiliations":[],"preferred":false,"id":322476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savidge, J. A.","contributorId":36078,"corporation":false,"usgs":false,"family":"Savidge","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":322479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skagen, S. K. 0000-0002-6744-1244","orcid":"https://orcid.org/0000-0002-6744-1244","contributorId":31348,"corporation":false,"usgs":true,"family":"Skagen","given":"S. K.","affiliations":[],"preferred":false,"id":322478,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70027801,"text":"70027801 - 2004 - A Complex Systems Model Approach to Quantified Mineral Resource Appraisal","interactions":[],"lastModifiedDate":"2012-03-12T17:20:50","indexId":"70027801","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A Complex Systems Model Approach to Quantified Mineral Resource Appraisal","docAbstract":"For federal and state land management agencies, mineral resource appraisal has evolved from value-based to outcome-based procedures wherein the consequences of resource development are compared with those of other management options. Complex systems modeling is proposed as a general framework in which to build models that can evaluate outcomes. Three frequently used methods of mineral resource appraisal (subjective probabilistic estimates, weights of evidence modeling, and fuzzy logic modeling) are discussed to obtain insight into methods of incorporating complexity into mineral resource appraisal models. Fuzzy logic and weights of evidence are most easily utilized in complex systems models. A fundamental product of new appraisals is the production of reusable, accessible databases and methodologies so that appraisals can easily be repeated with new or refined data. The data are representations of complex systems and must be so regarded if all of their information content is to be utilized. The proposed generalized model framework is applicable to mineral assessment and other geoscience problems. We begin with a (fuzzy) cognitive map using (+1,0,-1) values for the links and evaluate the map for various scenarios to obtain a ranking of the importance of various links. Fieldwork and modeling studies identify important links and help identify unanticipated links. Next, the links are given membership functions in accordance with the data. Finally, processes are associated with the links; ideally, the controlling physical and chemical events and equations are found for each link. After calibration and testing, this complex systems model is used for predictions under various scenarios.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00267-003-2835-7","issn":"0364152X","usgsCitation":"Gettings, M.E., Bultman, M., and Fisher, F., 2004, A Complex Systems Model Approach to Quantified Mineral Resource Appraisal: Environmental Management, v. 33, no. 1, p. 87-98, https://doi.org/10.1007/s00267-003-2835-7.","startPage":"87","endPage":"98","numberOfPages":"12","costCenters":[],"links":[{"id":238177,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211031,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-003-2835-7"}],"volume":"33","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e2d3e4b0c8380cd45c88","contributors":{"authors":[{"text":"Gettings, M. E.","contributorId":25148,"corporation":false,"usgs":true,"family":"Gettings","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":415282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bultman, M.W.","contributorId":107306,"corporation":false,"usgs":true,"family":"Bultman","given":"M.W.","affiliations":[],"preferred":false,"id":415284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, F. S.","contributorId":36149,"corporation":false,"usgs":true,"family":"Fisher","given":"F. S.","affiliations":[],"preferred":false,"id":415283,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70026827,"text":"70026827 - 2004 - Autumn migration and wintering areas of Peregrine Falcons Falco peregrinus nesting on the Kola Peninsula, northern Russia","interactions":[],"lastModifiedDate":"2017-11-21T19:05:23","indexId":"70026827","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Autumn migration and wintering areas of Peregrine Falcons Falco peregrinus nesting on the Kola Peninsula, northern Russia","title":"Autumn migration and wintering areas of Peregrine Falcons Falco peregrinus nesting on the Kola Peninsula, northern Russia","docAbstract":"Four female Peregrine Falcons Falco peregrinus breeding on the Kola Peninsula, Russia, were fitted with satellite-received transmitters in 1994. Their breeding home ranges averaged 1175 (sd = ±714) km2, and overlapped considerably. All left their breeding grounds in September and migrated generally south-west along the Baltic Sea. The mean travel rate for three falcons was 190 km/day. Two Falcons wintered on the coasts of France and in southern Spain, which were, respectively, 2909 and 4262 km from their breeding sites. Data on migration routes suggested that Falcons took a near-direct route to the wintering areas. No prolonged stopovers were apparent. The 90% minimum convex polygon winter range of a bird that migrated to Spain encompassed 213 km2 (n = 54). The area of the 50% minimum convex polygon was 21.5 km2 (n = 29). Data from this study agree with others from North America that show that Falcons breeding in a single area do not necessarily follow the same migratory path southward and do not necessarily use the same wintering grounds.
","language":"English","publisher":"Wiley","doi":"10.1046/j.1474-919X.2004.00253.x","usgsCitation":"Ganusevich, S., Maechtle, T., Seegar, W., Yates, M., McGrady, M., Fuller, M., Schueck, L., Dayton, J., and Henny, C.J., 2004, Autumn migration and wintering areas of Peregrine Falcons Falco peregrinus nesting on the Kola Peninsula, northern Russia: Ibis, v. 146, no. 2, p. 291-297, https://doi.org/10.1046/j.1474-919X.2004.00253.x.","productDescription":"7 p.","startPage":"291","endPage":"297","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":235352,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russa","otherGeospatial":"Kola Peninsula","volume":"146","issue":"2","noUsgsAuthors":false,"publicationDate":"2004-02-02","publicationStatus":"PW","scienceBaseUri":"5059eefde4b0c8380cd4a0b3","contributors":{"authors":[{"text":"Ganusevich, S.A.","contributorId":52539,"corporation":false,"usgs":true,"family":"Ganusevich","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":411249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maechtle, T.L.","contributorId":62185,"corporation":false,"usgs":true,"family":"Maechtle","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":411250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seegar, W.S.","contributorId":11301,"corporation":false,"usgs":true,"family":"Seegar","given":"W.S.","email":"","affiliations":[],"preferred":false,"id":411244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yates, M.A.","contributorId":79593,"corporation":false,"usgs":true,"family":"Yates","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":411252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGrady, M.J.","contributorId":23735,"corporation":false,"usgs":true,"family":"McGrady","given":"M.J.","affiliations":[],"preferred":false,"id":411246,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuller, M.","contributorId":30798,"corporation":false,"usgs":true,"family":"Fuller","given":"M.","affiliations":[],"preferred":false,"id":411247,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schueck, L.","contributorId":67269,"corporation":false,"usgs":true,"family":"Schueck","given":"L.","email":"","affiliations":[],"preferred":false,"id":411251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dayton, J.","contributorId":46744,"corporation":false,"usgs":true,"family":"Dayton","given":"J.","email":"","affiliations":[],"preferred":false,"id":411248,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Henny, Charles J.","contributorId":12578,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":411245,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70174257,"text":"70174257 - 2004 - Specific conductance and water temperature data for San Francisco Bay, California, for Water Year 2003","interactions":[],"lastModifiedDate":"2016-07-26T16:28:50","indexId":"70174257","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3914,"text":"Interagency Ecological Program Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Specific conductance and water temperature data for San Francisco Bay, California, for Water Year 2003","docAbstract":"This article presents time-series graphs of specific-conductance and water-temperature data collected in San Francisco Bay during water year 2003 (October 1, 2002, through September 30, 2003). Specific-conductance and water-temperature data were recorded at 15-minute intervals at the following US Geological Survey (USGS) locations (Figure 1): • Suisun Bay at Benicia Bridge, near Benicia, CA. (BEN) (site # 11455780) • Carquinez Strait at Carquinez Bridge, near Crockett, CA. (CARQ) (site # 11455820) • Napa River at Mare Island Causeway, near Vallejo, CA. (NAP) (site # 11458370) • San Pablo Strait at Point San Pablo, CA. (PSP) (site # 11181360) • San Pablo Bay at Petaluma River Channel Marker 9, CA. (SPB) (site # 380519122262901) • San Francisco Bay at Presidio Military Reservation, CA. (PRES) (site # 11162690) • San Francisco Bay at San Mateo Bridge, near Foster City, CA. (SMB) (site # 11162765) Suspended-sediment-concentration data also were collected at most of these sites during water year 2003. Specific-conductance and water-temperature data from PSP, PRES, and SMB were recorded by the CA Department of Water Resources (DWR) before 1988, by the USGS National Research Program from 1988 to 1989, and by the USGS-DWR cooperative program since 1990. BEN, CARQ, NAP, and SPB were established in 1998 by USGS. The monitoring station at PRES was discontinued on November 12, 2002, due to shoaling at the site.
","language":"English","publisher":"Interagency","usgsCitation":"Buchanan, P., 2004, Specific conductance and water temperature data for San Francisco Bay, California, for Water Year 2003: Interagency Ecological Program Newsletter, v. 17, no. 3, p. 11-14.","productDescription":"4 p.","startPage":"11","endPage":"14","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":324775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324774,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.water.ca.gov/iep/newsletters/2004/IEPNewsletter_summer_2004.pdf"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.41241455078125,\n 38.15723682167875\n ],\n [\n -122.50167846679686,\n 38.120512892298976\n ],\n [\n -122.508544921875,\n 38.04917251752295\n ],\n [\n -122.4810791015625,\n 37.98100996893789\n ],\n [\n -122.50717163085938,\n 37.95286091815649\n ],\n [\n -122.51678466796874,\n 37.923617790524716\n ],\n [\n -122.50167846679686,\n 37.859675659210005\n ],\n [\n -122.46322631835938,\n 37.78156937014928\n ],\n [\n -122.40554809570311,\n 37.79784832917947\n ],\n [\n -122.39044189453124,\n 37.76202988573211\n ],\n [\n -122.3876953125,\n 37.71750400999666\n ],\n [\n -122.39318847656249,\n 37.66099365286694\n ],\n [\n -122.36709594726562,\n 37.590295170521955\n ],\n [\n -122.26547241210936,\n 37.55111016010861\n ],\n [\n -122.16796875,\n 37.48684571271661\n ],\n [\n -122.09930419921876,\n 37.425797766419976\n ],\n [\n -122.02239990234375,\n 37.41816326969145\n ],\n [\n -121.93450927734375,\n 37.42688834526727\n ],\n [\n -121.91253662109376,\n 37.45632796865522\n ],\n [\n -122.0416259765625,\n 37.51626173528878\n ],\n [\n -122.13912963867188,\n 37.609879943747146\n ],\n [\n -122.20504760742186,\n 37.73053874574077\n ],\n [\n -122.30392456054688,\n 37.860759886765194\n ],\n [\n -122.31628417968749,\n 37.91603433975963\n ],\n [\n -122.39456176757811,\n 37.94311450175187\n ],\n [\n -122.34924316406251,\n 37.990751356571195\n ],\n [\n -122.21466064453125,\n 38.05782354290831\n ],\n [\n -122.24212646484375,\n 38.09241741843045\n ],\n [\n -122.39044189453124,\n 38.155077102180655\n ],\n [\n -122.41241455078125,\n 38.15723682167875\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"577e2bb2e4b0ef4d2f445a4b","contributors":{"authors":[{"text":"Buchanan, P.A. 0000-0002-4796-4734","orcid":"https://orcid.org/0000-0002-4796-4734","contributorId":48997,"corporation":false,"usgs":true,"family":"Buchanan","given":"P.A.","affiliations":[],"preferred":false,"id":641638,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70026834,"text":"70026834 - 2004 - Upper crustal structure from the Santa Monica Mountains to the Sierra Nevada, Southern California: Tomographic results from the Los Angeles Regional Seismic Experiment, Phase II (LARSE II)","interactions":[],"lastModifiedDate":"2012-03-12T17:20:28","indexId":"70026834","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Upper crustal structure from the Santa Monica Mountains to the Sierra Nevada, Southern California: Tomographic results from the Los Angeles Regional Seismic Experiment, Phase II (LARSE II)","docAbstract":"In 1999, the U.S. Geological Survey and the Southern California Earthquake Center (SCEC) collected refraction and low-fold reflection data along a 150-km-long corridor extending from the Santa Monica Mountains northward to the Sierra Nevada. This profile was part of the second phase of the Los Angeles Region Seismic Experiment (LARSE II). Chief imaging targets included sedimentary basins beneath the San Fernando and Santa Clarita Valleys and the deep structure of major faults along the transect, including causative faults for the 1971 M 6.7 San Fernando and 1994 M 6.7 Northridge earthquakes, the San Gabriel Fault, and the San Andreas Fault. Tomographic modeling of first arrivals using the methods of Hole (1992) and Lutter et al. (1999) produces velocity models that are similar to each other and are well resolved to depths of 5-7.5 km. These models, together with oil-test well data and independent forward modeling of LARSE II refraction data, suggest that regions of relatively low velocity and high velocity gradient in the San Fernando Valley and the northern Santa Clarita Valley (north of the San Gabriel Fault) correspond to Cenozoic sedimentary basin fill and reach maximum depths along the profile of ???4.3 km and >3 km , respectively. The Antelope Valley, within the western Mojave Desert, is also underlain by low-velocity, high-gradient sedimentary fill to an interpreted maximum depth of ???2.4 km. Below depths of ???2 km, velocities of basement rocks in the Santa Monica Mountains and the central Transverse Ranges vary between 5.5 and 6.0 km/sec, but in the Mojave Desert, basement rocks vary in velocity between 5.25 and 6.25 km/sec. The San Andreas Fault separates differing velocity structures of the central Transverse Ranges and Mojave Desert. A weak low-velocity zone is centered approximately on the north-dipping aftershock zone of the 1971 San Fernando earthquake and possibly along the deep projection of the San Gabriel Fault. Modeling of gravity data, using densities inferred from the velocity model, indicates that different velocity-density relationships hold for both sedimentary and basement rocks as one crosses the San Andreas Fault. The LARSE II velocity model can now be used to improve the SCEC Community Velocity Model, which is used to calculate seismic amplitudes for large scenario earthquakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120030058","issn":"00371106","usgsCitation":"Lutter, W.J., Fuis, G., Ryberg, T., Okaya, D.A., Clayton, R., Davis, P., Prodehl, C., Murphy, J., Langenheim, V., Benthien, M., Godfrey, N.J., Christensen, N., Thygesen, K., Thurber, C., Simila, G., and Keller, G.R., 2004, Upper crustal structure from the Santa Monica Mountains to the Sierra Nevada, Southern California: Tomographic results from the Los Angeles Regional Seismic Experiment, Phase II (LARSE II): Bulletin of the Seismological Society of America, v. 94, no. 2, p. 619-632, https://doi.org/10.1785/0120030058.","startPage":"619","endPage":"632","numberOfPages":"14","costCenters":[],"links":[{"id":478165,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20121001-131459133","text":"External Repository"},{"id":209235,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120030058"},{"id":235501,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbd53e4b08c986b328f7f","contributors":{"authors":[{"text":"Lutter, W. J.","contributorId":90361,"corporation":false,"usgs":true,"family":"Lutter","given":"W.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":411291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuis, G. S.","contributorId":83131,"corporation":false,"usgs":true,"family":"Fuis","given":"G. S.","affiliations":[],"preferred":false,"id":411288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryberg, T.","contributorId":91643,"corporation":false,"usgs":true,"family":"Ryberg","given":"T.","email":"","affiliations":[],"preferred":false,"id":411292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Okaya, D. A.","contributorId":64280,"corporation":false,"usgs":true,"family":"Okaya","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":411287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clayton, R.W.","contributorId":63413,"corporation":false,"usgs":true,"family":"Clayton","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":411286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, P.M.","contributorId":15229,"corporation":false,"usgs":true,"family":"Davis","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":411279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prodehl, C.","contributorId":100376,"corporation":false,"usgs":true,"family":"Prodehl","given":"C.","affiliations":[],"preferred":false,"id":411293,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murphy, J.M.","contributorId":84760,"corporation":false,"usgs":true,"family":"Murphy","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":411289,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Langenheim, V.E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":54956,"corporation":false,"usgs":true,"family":"Langenheim","given":"V.E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":411284,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Benthien, M.L.","contributorId":20780,"corporation":false,"usgs":true,"family":"Benthien","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":411281,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Godfrey, N. 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We evaluate two mechanisms affecting recruitment: diet and the potential for competition, and storage of lipid energy reserves and the relationship to overwinter survival. The fish in our study were characteristic of white bass in the northern portion of their range, feeding predominantly on zooplankton. Only the largest age-0 white bass ate fish as a significant portion of their diet. Over the summer sampling period, we found decreasing ration sizes, expressed as a percentage of maximum ration, as the summer progressed with a concomitant decrease in the relative amount of lipid storage. In laboratory experiments, age-0 white bass held at 5°C and given food ad libitum did feed, but at rates that were insufficient to maintain body weight. Loss in weight was accompanied with a loss in lipids at a rate of 2.8 mg of lipids per gram of body weight per day. Based on our data, we concluded that age-0 white bass in Lake Erie were food-limited. Food limitation resulted in reduced growth rates, presumably related to competition with other planktivorous fishes. Reduced growth results in increased mortality and, ultimately, low recruitment through increased risk of predation by larger piscivorous fishes, reduced ability for white bass to switch to more energetically profitable piscivory and the increased likelihood of higher overwinter mortality because of reduced lipid stores.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1320-5331.2004.00239.x","usgsCitation":"Eckmayer, W., and Margraf, F., 2004, The influence of diet, consumption and lipid use on recruitment of white bass: Lakes and Reservoirs: Research and Management, v. 9, no. 2, p. 133-141, https://doi.org/10.1111/j.1320-5331.2004.00239.x.","productDescription":"9 p.","startPage":"133","endPage":"141","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":235333,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, New York, Ohio, Pennsylvania","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.507080078125,\n 41.64007838467894\n ],\n [\n -83.33129882812499,\n 41.6154423246811\n ],\n [\n -83.12255859375,\n 41.53325414281322\n ],\n [\n -82.99072265625,\n 41.393294288784865\n ],\n [\n -82.474365234375,\n 41.352072144512924\n ],\n [\n -82.144775390625,\n 41.409775832009565\n ],\n [\n -81.474609375,\n 41.52502957323801\n ],\n [\n -81.0791015625,\n 41.705728515237524\n ],\n [\n -80.650634765625,\n 41.84501267270689\n ],\n [\n -80.013427734375,\n 42.06560675405716\n ],\n [\n -79.2333984375,\n 42.48019996901214\n ],\n [\n -78.73901367187499,\n 42.85985981506277\n ],\n [\n -79.771728515625,\n 42.90816007196054\n ],\n [\n -80.18920898437499,\n 42.80346172417078\n ],\n [\n -80.540771484375,\n 42.65012181368022\n ],\n [\n -80.9033203125,\n 42.67435857693381\n ],\n [\n -81.265869140625,\n 42.68243539838623\n ],\n [\n -82.265625,\n 42.23665188032057\n ],\n [\n -82.73803710937499,\n 42.049292638686836\n ],\n [\n -83.33129882812499,\n 42.05745022024682\n ],\n [\n -83.507080078125,\n 41.64007838467894\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2004-08-11","publicationStatus":"PW","scienceBaseUri":"505bad1ce4b08c986b3239a1","contributors":{"authors":[{"text":"Eckmayer, W.J.","contributorId":103042,"corporation":false,"usgs":true,"family":"Eckmayer","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":412372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Margraf, F.J.","contributorId":47738,"corporation":false,"usgs":true,"family":"Margraf","given":"F.J.","email":"","affiliations":[],"preferred":false,"id":412371,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70027108,"text":"70027108 - 2004 - Effects of dissolved carbonate on arsenate adsorption and surface speciation at the hematite-water interface","interactions":[],"lastModifiedDate":"2018-11-14T10:57:48","indexId":"70027108","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Effects of dissolved carbonate on arsenate adsorption and surface speciation at the hematite-water interface","docAbstract":"Effects of dissolved carbonate on arsenate [As(V)] reactivity and surface speciation at the hematite−water interface were studied as a function of pH and two different partial pressures of carbon dioxide gas [PCO2 = 10-3.5 atm and ∼0; CO2-free argon (Ar)] using adsorption kinetics, pseudo-equilibrium adsorption/titration experiments, extended X-ray absorption fine structure spectroscopic (EXAFS) analyses, and surface complexation modeling. Different adsorbed carbonate concentrations, due to the two different atmospheric systems, resulted in an enhanced and/or suppressed extent of As(V) adsorption. As(V) adsorption kinetics [4 g L-1, [As(V)]0 = 1.5 mM and I = 0.01 M NaCl] showed carbonate-enhanced As(V) uptake in the air-equilibrated systems at pH 4 and 6 and at pH 8 after 3 h of reaction. Suppressed As(V) adsorption was observed in the air-equilibrated system in the early stages of the reaction at pH 8. In the pseudo-equilibrium adsorption experiments [1 g L-1, [As(V)]0 = 0.5 mM and I = 0.01 M NaCl], in which each pH value was held constant by a pH-stat apparatus, effects of dissolved carbonate on As(V) uptake were almost negligible at equilibrium, but titrant (0.1 M HCl) consumption was greater in the air-equilibrated systems (PCO2 = 10-3.5 atm) than in the CO2-free argon system at pH 4−7.75. The EXAFS analyses indicated that As(V) tetrahedral molecules were coordinated on iron octahedral via bidentate mononuclear (≈2.8 Å) and bidentate binuclear (≈3.3 Å) bonding at pH 4.5−8 and loading levels of 0.46−3.10 μM m-2. Using the results of the pseudo-equilibrium adsorption data and the XAS analyses, the pH-dependent As(V) adsorption under the PCO2 = 10-3.5 atm and the CO2-free argon system was modeled using surface complexation modeling, and the results are consistent with the formation of nonprotonated bidentate surface species at the hematite surfaces. The results also suggest that the acid titrant consumption was strongly affected by changes to electrical double-layer potentials caused by the adsorption of carbonate in the air-equilibrated system. Overall results suggest that the effects of dissolved carbonate on As(V) adsorption were influenced by the reaction conditions [e.g., available surface sites, initial As(V) concentrations, and reaction times]. Quantifying the effects of adsorbed carbonate may be important in predicting As(V) transport processes in groundwater, where iron oxide-coated aquifer materials are exposed to seasonally fluctuating partial pressures of CO2(g).
The recently developed expected moments algorithm (EMA) [Cohn et al., 1997] does as well as maximum likelihood estimations at estimating log‐Pearson type 3 (LP3) flood quantiles using systematic and historical flood information. Needed extensions include use of a regional skewness estimator and its precision to be consistent with Bulletin 17B. Another issue addressed by Bulletin 17B is the treatment of low outliers. A Monte Carlo study compares the performance of Bulletin 17B using the entire sample with and without regional skew with estimators that use regional skew and censor low outliers, including an extended EMA estimator, the conditional probability adjustment (CPA) from Bulletin 17B, and an estimator that uses probability plot regression (PPR) to compute substitute values for low outliers. Estimators that neglect regional skew information do much worse than estimators that use an informative regional skewness estimator. For LP3 data the low outlier rejection procedure generally results in no loss of overall accuracy, and the differences between the MSEs of the estimators that used an informative regional skew are generally modest in the skewness range of real interest. Samples contaminated to model actual flood data demonstrate that estimators which give special treatment to low outliers significantly outperform estimators that make no such adjustment.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2003WR002697","usgsCitation":"Griffis, V., Stedinger, J.R., and Cohn, T., 2004, Log Pearson type 3 quantile estimators with regional skew information and low outlier adjustments: Water Resources Research, v. 40, no. 7, Article W07503; 17 p., https://doi.org/10.1029/2003WR002697.","productDescription":"Article W07503; 17 p.","costCenters":[],"links":[{"id":235402,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"7","noUsgsAuthors":false,"publicationDate":"2004-07-15","publicationStatus":"PW","scienceBaseUri":"505a493fe4b0c8380cd68466","contributors":{"authors":[{"text":"Griffis, V.W.","contributorId":29616,"corporation":false,"usgs":true,"family":"Griffis","given":"V.W.","email":"","affiliations":[],"preferred":false,"id":412010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stedinger, Jery R.","contributorId":76198,"corporation":false,"usgs":true,"family":"Stedinger","given":"Jery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":412012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohn, T.A.","contributorId":84789,"corporation":false,"usgs":true,"family":"Cohn","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":412011,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70026877,"text":"70026877 - 2004 - An evaluation of the individual components and accuracies associated with the determination of impervious area","interactions":[],"lastModifiedDate":"2021-08-26T15:46:13.462751","indexId":"70026877","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of the individual components and accuracies associated with the determination of impervious area","docAbstract":"The percentage of impervious surface area in a watershed has been widely recognized as a key indicator of terrestrial and aquatic ecosystem condition. Although the use of the impervious indicator is widespread, there is currently no consistent or mutually accepted method of computing impervious area and the approach of various commonly used techniques varies widely. Further, we do not have reliable information on the components of impervious surfaces, which would be critical in any future planning attempts to remediate problems associated with impervious surface coverage. In cooperation with the USGS Geographic Analysis and Monitoring Program (GAM) and The National Map, and the EPA Landscape Ecology Program, this collaborative research project utilized very high resolution imagery and GIS techniques to map and quantify the individual components of total impervious area in six urban/suburban watersheds in different parts of the United States. These data were served as ground reference, or \"truth,\" for the evaluation for four techniques used to compute impervious area. The results show some important aspects about the component make-up of impervious cover and the variability of methods commonly used to compile this critical emerging indicator of ecosystem condition.
","language":"English","publisher":"Taylor & Francis Online","doi":"10.2747/1548-1603.41.2.165","usgsCitation":"Slonecker, E., and Tilley, J., 2004, An evaluation of the individual components and accuracies associated with the determination of impervious area: GIScience and Remote Sensing, v. 41, no. 2, p. 165-184, https://doi.org/10.2747/1548-1603.41.2.165.","productDescription":"20 p.","startPage":"165","endPage":"184","costCenters":[{"id":247,"text":"Eastern Region Geography","active":false,"usgs":true}],"links":[{"id":489930,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2747/1548-1603.41.2.165","text":"Publisher Index Page"},{"id":235576,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n 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