Suspended particulate, colloid, and aqueous phases were separated and analyzed to determine spatial variation of specific organic compound transport associated with each phase in a dynamic river system. Sixteen sites along the Mississippi River and its major tributaries were sampled at low-flow conditions to maximize the possibility of equilibrium. Across the solubility range studied, the proportion transported by each phase depended on the compound solubility, with more water-soluble compounds (dacthal, trifluralin) transported predominantly in the aqueous phase and less-water soluble compounds (polychlorinated biphenyls, chlordane-related compounds) transported predominantly in the particulate and colloid phases.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Archives of Environmental Contamination and Toxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00244-005-0056-1","issn":"00904341","usgsCitation":"Rostad, C.E., and Daniel, S., 2007, Distribution of selected halogenated organic compounds among suspended particulate, colloid, and aqueous phases in the Mississippi River and major tributaries: Archives of Environmental Contamination and Toxicology, v. 53, no. 2, p. 151-158, https://doi.org/10.1007/s00244-005-0056-1.","productDescription":"8 p.","startPage":"151","endPage":"158","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238810,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211511,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-005-0056-1"}],"country":"United States","volume":"53","issue":"2","noUsgsAuthors":false,"publicationDate":"2007-06-11","publicationStatus":"PW","scienceBaseUri":"505a02fde4b0c8380cd502b9","contributors":{"authors":[{"text":"Rostad, Colleen E. cerostad@usgs.gov","contributorId":833,"corporation":false,"usgs":true,"family":"Rostad","given":"Colleen","email":"cerostad@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":429742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daniel, S.R.","contributorId":28379,"corporation":false,"usgs":true,"family":"Daniel","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":429741,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70031037,"text":"70031037 - 2007 - Nitrate in aquifers beneath agricultural systems","interactions":[],"lastModifiedDate":"2012-03-12T17:21:16","indexId":"70031037","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Nitrate in aquifers beneath agricultural systems","docAbstract":"Research from several regions of the world provides spatially anecdotal evidence to hypothesize which hydrologic and agricultural factors contribute to groundwater vulnerability to nitrate contamination. Analysis of nationally consistent measurements from the U.S. Geological Survey's NAWQA program confirms these hypotheses for a substantial range of agricultural systems. Shallow unconfined aquifers are most susceptible to nitrate contamination associated with agricultural systems. Alluvial and other unconsolidated aquifers are the most vulnerable and also shallow carbonate aquifers that provide a substantial but smaller contamination risk. Where any of these aquifers are overlain by permeable soils the risk of contamination is larger. Irrigated systems can compound this vulnerability by increasing leaching facilitated by additional recharge and additional nutrient applications. The system of corn, soybean, and hogs produced significantly larger concentrations of groundwater nitrate than all other agricultural systems because this system imports the largest amount of N-fertilizer per unit production area. Mean nitrate under dairy, poultry, horticulture, and cattle and grains systems were similar. If trends in the relation between increased fertilizer use and groundwater nitrate in the United States are repeated in other regions of the world, Asia may experience increasing problems because of recent increases in fertilizer use. Groundwater monitoring in Western and Eastern Europe as well as Russia over the next decade may provide data to determine if the trend in increased nitrate contamination can be reversed. If the concentrated livestock trend in the United States is global, it may be accompanied by increasing nitrogen contamination in groundwater. Concentrated livestock provide both point sources in the confinement area and intense non-point sources as fields close to facilities are used for manure disposal. Regions where irrigated cropland is expanding, such as in Asia, may experience the greatest impact of this practice on groundwater nitrate. ?? USDA 2007.","largerWorkTitle":"Water Science and Technology","language":"English","doi":"10.2166/wst.2007.436","issn":"02731223","isbn":"1843395975; 9781843395973","usgsCitation":"Burkart, M.R., and Stoner, J., 2007, Nitrate in aquifers beneath agricultural systems, in Water Science and Technology, v. 56, no. 1, p. 59-69, https://doi.org/10.2166/wst.2007.436.","startPage":"59","endPage":"69","numberOfPages":"11","costCenters":[],"links":[{"id":211452,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2166/wst.2007.436"},{"id":238743,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a66a3e4b0c8380cd72ec2","contributors":{"editors":[{"text":"Tanik A.Ozturk I.Yazgan M.S.Heath R.","contributorId":128447,"corporation":true,"usgs":false,"organization":"Tanik A.Ozturk I.Yazgan M.S.Heath R.","id":536656,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Burkart, M. R.","contributorId":42190,"corporation":false,"usgs":true,"family":"Burkart","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":429716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoner, J.D.","contributorId":58261,"corporation":false,"usgs":true,"family":"Stoner","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":429717,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70032771,"text":"70032771 - 2007 - Remote sensing and GIS technology in the Global Land Ice Measurements from Space (GLIMS) Project","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70032771","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing and GIS technology in the Global Land Ice Measurements from Space (GLIMS) Project","docAbstract":"Global Land Ice Measurements from Space (GLIMS) is an international consortium established to acquire satellite images of the world's glaciers, analyze them for glacier extent and changes, and to assess these change data in terms of forcings. The consortium is organized into a system of Regional Centers, each of which is responsible for glaciers in their region of expertise. Specialized needs for mapping glaciers in a distributed analysis environment require considerable work developing software tools: terrain classification emphasizing snow, ice, water, and admixtures of ice with rock debris; change detection and analysis; visualization of images and derived data; interpretation and archival of derived data; and analysis to ensure consistency of results from different Regional Centers. A global glacier database has been designed and implemented at the National Snow and Ice Data Center (Boulder, CO); parameters have been expanded from those of the World Glacier Inventory (WGI), and the database has been structured to be compatible with (and to incorporate) WGI data. The project as a whole was originated, and has been coordinated by, the US Geological Survey (Flagstaff, AZ), which has also led the development of an interactive tool for automated analysis and manual editing of glacier images and derived data (GLIMSView). This article addresses remote sensing and Geographic Information Science techniques developed within the framework of GLIMS in order to fulfill the goals of this distributed project. Sample applications illustrating the developed techniques are also shown. ?? 2006 Elsevier Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Computers and Geosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.cageo.2006.05.015","issn":"00983004","usgsCitation":"Raup, B., Kaab, A., Kargel, J., Bishop, M., Hamilton, G., Lee, E., Paul, F., Rau, F., Soltesz, D., Khalsa, S., Beedle, M., and Helm, C., 2007, Remote sensing and GIS technology in the Global Land Ice Measurements from Space (GLIMS) Project: Computers & Geosciences, v. 33, no. 1, p. 104-125, https://doi.org/10.1016/j.cageo.2006.05.015.","startPage":"104","endPage":"125","numberOfPages":"22","costCenters":[],"links":[{"id":213956,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cageo.2006.05.015"},{"id":241633,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa6f2e4b0c8380cd8512f","contributors":{"authors":[{"text":"Raup, B.","contributorId":31589,"corporation":false,"usgs":true,"family":"Raup","given":"B.","email":"","affiliations":[],"preferred":false,"id":437837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaab, Andreas","contributorId":53175,"corporation":false,"usgs":false,"family":"Kaab","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":437839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kargel, J.S.","contributorId":88096,"corporation":false,"usgs":true,"family":"Kargel","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":437843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bishop, M.P.","contributorId":80091,"corporation":false,"usgs":true,"family":"Bishop","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":437842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamilton, G.","contributorId":108236,"corporation":false,"usgs":true,"family":"Hamilton","given":"G.","email":"","affiliations":[],"preferred":false,"id":437846,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, E.","contributorId":47716,"corporation":false,"usgs":true,"family":"Lee","given":"E.","affiliations":[],"preferred":false,"id":437838,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Paul, F.","contributorId":67740,"corporation":false,"usgs":true,"family":"Paul","given":"F.","email":"","affiliations":[],"preferred":false,"id":437840,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rau, F.","contributorId":26527,"corporation":false,"usgs":true,"family":"Rau","given":"F.","email":"","affiliations":[],"preferred":false,"id":437836,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Soltesz, D.","contributorId":99787,"corporation":false,"usgs":true,"family":"Soltesz","given":"D.","email":"","affiliations":[],"preferred":false,"id":437845,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Khalsa, S.J.S.","contributorId":90119,"corporation":false,"usgs":true,"family":"Khalsa","given":"S.J.S.","affiliations":[],"preferred":false,"id":437844,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Beedle, M.","contributorId":77750,"corporation":false,"usgs":true,"family":"Beedle","given":"M.","email":"","affiliations":[],"preferred":false,"id":437841,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Helm, C.","contributorId":7921,"corporation":false,"usgs":true,"family":"Helm","given":"C.","email":"","affiliations":[],"preferred":false,"id":437835,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70031016,"text":"70031016 - 2007 - Identifying sources of nitrogen to Hanalei Bay, Kauai, utilizing the nitrogen isotope signature of macroalgae","interactions":[],"lastModifiedDate":"2023-07-31T12:20:02.840178","indexId":"70031016","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Identifying sources of nitrogen to Hanalei Bay, Kauai, utilizing the nitrogen isotope signature of macroalgae","docAbstract":"Sewage effluent, storm runoff, discharge from polluted rivers, and inputs of groundwater have all been suggested as potential sources of land derived nutrients into Hanalei Bay, Kauai. We determined the nitrogen isotopic signatures (δ15N) of different nitrate sources to Hanalei Bay along with the isotopic signature recorded by 11 species of macroalgal collected in the Bay. The macroalgae integrate the isotopic signatures of the nitrate sources over time, thus these data along with the nitrate to dissolved inorganic phosphate molar ratios (N:P) of the macroalgae were used to determine the major nitrate source to the bay ecosystem and which of the macro-nutrients is limiting algae growth, respectively. Relatively low δ15N values (average −0.5‰) were observed in all algae collected throughout the Bay; implicating fertilizer, rather than domestic sewage, as an important external source of nitrogen to the coastal water around Hanalei. The N:P ratio in the algae compared to the ratio in the Bay waters imply that the Hanalei Bay coastal ecosystem is nitrogen limited and thus, increased nitrogen input may potentially impact this coastal ecosystem and specifically the coral reefs in the Bay. Identifying the major source of nutrient loading to the Bay is important for risk assessment and potential remediation plans.
The 650 km3 rhyolitic Bishop Tuff (eastern California, USA), which is stratigraphically zoned with respect to temperatures of mineral equilibration, reflects a corresponding thermal gradient in the source magma chamber. Consistent with previous work, application of the new TitaniQ (Ti-in-quartz) thermometer to quartz phenocryst rims documents an ∼100 °C temperature increase with chamber depth at the time of eruption. Application of TitaniQ to quartz phenocryst cores, however, reveals lower temperatures and an earlier gradient that was less steep, with temperature increasing with depth by only ∼30 °C. In many late-erupted crystals, sharp boundaries that separate low-temperature cores from high-temperature rims cut internal cathodoluminescent growth zoning, indicating partial phenocryst dissolution prior to crystallization of the high-temperature rims. Rimward jumps in Ti concentration across these boundaries are too abrupt (e.g., 40 ppm across a distance of <10 µm) to have survived magmatic temperatures for more than ∼100 yr. We interpret these observations to indicate heating-induced partial dissolution of quartz, followed by growth of high-temperature rims (made possible by lowering of water activity due to addition of CO2) within 100 yr of the climactic 760 ka eruption. Hot mafic melts injected into deeper parts of the magma system were the likely source of heat and CO2, raising the possibility that eruption and caldera collapse owe their origin to a recharge event.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G23316A.1","issn":"00917613","usgsCitation":"Wark, D., Hildreth, W., Spear, F., Cherniak, D., and Watson, E., 2007, Pre-eruption recharge of the Bishop magma system: Geology, v. 35, no. 3, p. 235-238, https://doi.org/10.1130/G23316A.1.","productDescription":"4 p.","startPage":"235","endPage":"238","numberOfPages":"4","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":241464,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Bishop Tuff","volume":"35","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a80dae4b0c8380cd7b22e","contributors":{"authors":[{"text":"Wark, D.A.","contributorId":87379,"corporation":false,"usgs":true,"family":"Wark","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":437951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hildreth, W. 0000-0002-7925-4251","orcid":"https://orcid.org/0000-0002-7925-4251","contributorId":100487,"corporation":false,"usgs":true,"family":"Hildreth","given":"W.","affiliations":[],"preferred":false,"id":437953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spear, F.S.","contributorId":49189,"corporation":false,"usgs":true,"family":"Spear","given":"F.S.","email":"","affiliations":[],"preferred":false,"id":437950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherniak, D.J.","contributorId":27276,"corporation":false,"usgs":true,"family":"Cherniak","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":437949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watson, E.B.","contributorId":91308,"corporation":false,"usgs":true,"family":"Watson","given":"E.B.","email":"","affiliations":[],"preferred":false,"id":437952,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70030992,"text":"70030992 - 2007 - Collaborative environmental planning in river management: An application of multicriteria decision analysis in the White River Watershed in Vermont","interactions":[],"lastModifiedDate":"2023-07-27T11:24:11.447381","indexId":"70030992","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Collaborative environmental planning in river management: An application of multicriteria decision analysis in the White River Watershed in Vermont","docAbstract":"Multicriteria decision analysis (MCDA) provides a well-established family of decision tools to aid stakeholder groups in arriving at collective decisions. MCDA can also function as a framework for the social learning process, serving as an educational aid in decision problems characterized by a high level of public participation. In this paper, the framework and results of a structured decision process using the outranking MCDA methodology preference ranking organization method of enrichment evaluation (PROMETHEE) are presented. PROMETHEE is used to frame multi-stakeholder discussions of river management alternatives for the Upper White River of Central Vermont, in the northeastern United States. Stakeholders met over 10 months to create a shared vision of an ideal river and its services to communities, develop a list of criteria by which to evaluate river management alternatives, and elicit preferences to rank and compare individual and group preferences. The MCDA procedure helped to frame a group process that made stakeholder preferences explicit and substantive discussions about long-term river management possible.
The success of engineered remediation is predicated on correct emplacement of either amendments (e.g., vegetable-oil emulsion, lactate, molasses, etc.) or permeable reactive barriers (e.g., vegetable oil, zero-valent iron, etc.) to enhance microbial or geochemical breakdown of contaminants and treat contaminants. Currently, site managers have limited tools to provide information about the distribution of injected materials; the existence of gaps or holes in barriers; and breakdown or transformation of injected materials over time.
","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.2769561","issn":"1070485X","usgsCitation":"Lane, J.W., Day-Lewis, F.D., and Joesten, P.K., 2007, Monitoring engineered remediation with borehole radar: The Leading Edge, v. 26, no. 8, p. 1032-1035, https://doi.org/10.1190/1.2769561.","productDescription":"4 p.","startPage":"1032","endPage":"1035","numberOfPages":"4","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238969,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5da3e4b0c8380cd704d4","contributors":{"authors":[{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":429503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":429501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joesten, Peter K. pjoesten@usgs.gov","contributorId":1929,"corporation":false,"usgs":true,"family":"Joesten","given":"Peter","email":"pjoesten@usgs.gov","middleInitial":"K.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":429502,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70030983,"text":"70030983 - 2007 - Application of a source apportionment model in consideration of volatile organic compounds in an urban stream","interactions":[],"lastModifiedDate":"2012-03-12T17:21:04","indexId":"70030983","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Application of a source apportionment model in consideration of volatile organic compounds in an urban stream","docAbstract":"Position-dependent concentrations of trichloroethylene and methyl-tert-butyl ether are considered for a 2.81-km section of the Aberjona River in Massachusetts, USA. This river flows through Woburn and Winchester (Massachusetts, USA), an area that is highly urbanized, has a long history of industrial activities dating to the early 1800s, and has gained national attention because of contamination from chlorinated solvent compounds in Woburn wells G and H. The river study section is in Winchester and begins approximately five stream kilometers downstream from the Woburn wells superfund site. Approximately 300 toxic release sites are documented in the watershed upstream from the terminus of the study section. The inflow to the river study section is considered one source of contamination. Other sources are the atmosphere, a tributary flow, and groundwater flows entering the river; the latter are categorized according to stream zone (1, 2, 3, etc.). Loss processes considered include outflows to groundwater and water-to-atmosphere transfer of volatile compounds. For both trichloroethylene and methyl-rerf-butyl ether, degradation is neglected over the timescale of interest. Source apportionment fractions with assigned values ??inflow, ??1, ??2, ??3, etc. are tracked by a source apportionment model. The strengths of the groundwater and tributary sources serve as fitting parameters when minimizing a reduced least squares statistic between water concentrations measured during a synoptic study in July 2001 versus predictions from the model. The model fits provide strong evidence of substantial unknown groundwater sources of trichloroethylene and methyl-tert-butyl ether amounting to tens of grams per day of trichloroethylene and methyl-tert-butyl ether in the river along the study section. Modeling in a source apportionment manner can be useful to water quality managers allocating limited resources for remediation and source control. ?? 2007 SETAC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1897/06-557R.1","issn":"07307268","usgsCitation":"Asher, W., Luo, W., Campo, K., Bender, D., Robinson, K.W., Zogorski, J., and Pankow, J.F., 2007, Application of a source apportionment model in consideration of volatile organic compounds in an urban stream: Environmental Toxicology and Chemistry, v. 26, no. 8, p. 1606-1613, https://doi.org/10.1897/06-557R.1.","startPage":"1606","endPage":"1613","numberOfPages":"8","costCenters":[],"links":[{"id":211641,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1897/06-557R.1"},{"id":238968,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"8","noUsgsAuthors":false,"publicationDate":"2007-08-01","publicationStatus":"PW","scienceBaseUri":"5059ec93e4b0c8380cd4935d","contributors":{"authors":[{"text":"Asher, W.E.","contributorId":99339,"corporation":false,"usgs":true,"family":"Asher","given":"W.E.","email":"","affiliations":[],"preferred":false,"id":429498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luo, W.","contributorId":71331,"corporation":false,"usgs":true,"family":"Luo","given":"W.","email":"","affiliations":[],"preferred":false,"id":429497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campo, K.W.","contributorId":102270,"corporation":false,"usgs":true,"family":"Campo","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":429499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bender, D.A.","contributorId":49537,"corporation":false,"usgs":true,"family":"Bender","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":429496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, K. W.","contributorId":27488,"corporation":false,"usgs":true,"family":"Robinson","given":"K.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":429495,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zogorski, J.S.","contributorId":108201,"corporation":false,"usgs":true,"family":"Zogorski","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":429500,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pankow, J. F.","contributorId":20917,"corporation":false,"usgs":true,"family":"Pankow","given":"J.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":429494,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70030961,"text":"70030961 - 2007 - Reactivation of a cryptobiotic stream ecosystem in the McMurdo Dry Valleys, Antarctica: A long-term geomorphological experiment","interactions":[],"lastModifiedDate":"2012-03-12T17:21:16","indexId":"70030961","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Reactivation of a cryptobiotic stream ecosystem in the McMurdo Dry Valleys, Antarctica: A long-term geomorphological experiment","docAbstract":"The McMurdo Dry Valleys of Antarctica contain many glacial meltwater streams that flow for 6 to 12??weeks during the austral summer and link the glaciers to the lakes on the valley floors. Dry valley streams gain solutes longitudinally through weathering reactions and microbial processes occurring in the hyporheic zone. Some streams have thriving cyanobacterial mats. In streams with regular summer flow, the mats are freeze-dried through the winter and begin photosynthesizing with the onset of flow. To evaluate the longer term persistence of cyanobacterial mats, we diverted flow to an abandoned channel, which had not received substantial flow for approximately two decades. Monitoring of specific conductance showed that for the first 3??years after the diversion, the solute concentrations were greater in the reactivated channel than in most other dry valley streams. We observed that cyanobacterial mats became abundant in the reactivated channel within a week, indicating that the mats had been preserved in a cryptobiotic state in the channel. Over the next several years, these mats had high rates of productivity and nitrogen fixation compared to mats from other streams. Experiments in which mats from the reactivated channel and another stream were incubated in water from both of the streams indicated that the greater solute concentrations in the reactivated channel stimulated net primary productivity of mats from both streams. These stream-scale experimental results indicate that the cryptobiotic preservation of cyanobacterial mats in abandoned channels in the dry valleys allows for rapid response of these stream ecosystems to climatic and geomorphological change, similar to other arid zone stream ecosystems. ?? 2006 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.geomorph.2006.07.025","issn":"0169555X","usgsCitation":"McKnight, D.M., Tate, C.M., Andrews, E., Niyogi, D., Cozzetto, K., Welch, K., Lyons, W., and Capone, D., 2007, Reactivation of a cryptobiotic stream ecosystem in the McMurdo Dry Valleys, Antarctica: A long-term geomorphological experiment: Geomorphology, v. 89, no. 1-2 SPEC. ISS., p. 186-204, https://doi.org/10.1016/j.geomorph.2006.07.025.","startPage":"186","endPage":"204","numberOfPages":"19","costCenters":[],"links":[{"id":211332,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2006.07.025"},{"id":238603,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"1-2 SPEC. ISS.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9582e4b0c8380cd81a6b","contributors":{"authors":[{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":429406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tate, C. M.","contributorId":97147,"corporation":false,"usgs":true,"family":"Tate","given":"C.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":429409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, E.D.","contributorId":13922,"corporation":false,"usgs":true,"family":"Andrews","given":"E.D.","email":"","affiliations":[],"preferred":false,"id":429404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niyogi, D.K.","contributorId":103816,"corporation":false,"usgs":true,"family":"Niyogi","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":429410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cozzetto, K.","contributorId":92868,"corporation":false,"usgs":true,"family":"Cozzetto","given":"K.","email":"","affiliations":[],"preferred":false,"id":429408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welch, K.","contributorId":20541,"corporation":false,"usgs":true,"family":"Welch","given":"K.","email":"","affiliations":[],"preferred":false,"id":429405,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lyons, W.B.","contributorId":71319,"corporation":false,"usgs":true,"family":"Lyons","given":"W.B.","email":"","affiliations":[],"preferred":false,"id":429407,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Capone, D.G.","contributorId":105876,"corporation":false,"usgs":true,"family":"Capone","given":"D.G.","email":"","affiliations":[],"preferred":false,"id":429411,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70030946,"text":"70030946 - 2007 - River enhancement in the Upper Mississippi River basin: Approaches based on river uses, alterations, and management agencies","interactions":[],"lastModifiedDate":"2012-03-12T17:21:19","indexId":"70030946","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"River enhancement in the Upper Mississippi River basin: Approaches based on river uses, alterations, and management agencies","docAbstract":"The Upper Mississippi River is characterized by a series of locks and dams, shallow impoundments, and thousands of river channelization structures that facilitate commercial navigation between Minneapolis, Minnesota, and Cairo, Illinois. Agriculture and urban development over the past 200 years have degraded water quality and increased the rate of sediment and nutrient delivery to surface waters. River enhancement has become an important management tool employed to address causes and effects of surface water degradation and river modification in the Upper Mississippi River Basin. We report information on individual river enhancement projects and contrast project densities, goals, activities, monitoring, and cost between commercially non-navigated and navigated rivers (Non-navigated and Navigated Rivers, respectively). The total number of river enhancement projects collected during this effort was 62,108. Cost of all projects reporting spending between 1972 and 2006 was about US$1.6 billion. Water quality management was the most cited project goal within the basin. Other important goals in Navigated Rivers included in-stream habitat improvement and flow modification. Most projects collected for Non-navigated Rivers and their watersheds originated from the U.S. Department of Agriculture (USDA). The U.S. Army Corps of Engineers and the USDA were important sources for projects in Navigated Rivers. Collaborative efforts between agencies that implement projects in Non-navigated and Navigated Rivers may be needed to more effectively address river impairment. However, the current state of data sources tracking river enhancement projects deters efficient and broad-scale integration. ?? Journal compilation ?? 2007 Society for Ecological Restoration International.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Restoration Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1526-100X.2007.00249.x","issn":"10612971","usgsCitation":"O’Donnell, T.K., and Galat, D., 2007, River enhancement in the Upper Mississippi River basin: Approaches based on river uses, alterations, and management agencies: Restoration Ecology, v. 15, no. 3, p. 538-549, https://doi.org/10.1111/j.1526-100X.2007.00249.x.","startPage":"538","endPage":"549","numberOfPages":"12","costCenters":[],"links":[{"id":211589,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1526-100X.2007.00249.x"},{"id":238901,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2007-07-26","publicationStatus":"PW","scienceBaseUri":"505aadace4b0c8380cd86f52","contributors":{"authors":[{"text":"O’Donnell, T. K.","contributorId":27258,"corporation":false,"usgs":true,"family":"O’Donnell","given":"T.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":429334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galat, D.L.","contributorId":54546,"corporation":false,"usgs":true,"family":"Galat","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":429335,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70030848,"text":"70030848 - 2007 - Evaluation of an experimental LiDAR for surveying a shallow, braided, sand-bedded river","interactions":[],"lastModifiedDate":"2012-03-12T17:21:03","indexId":"70030848","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of an experimental LiDAR for surveying a shallow, braided, sand-bedded river","docAbstract":"Reaches of a shallow (<1.0m), braided, sand-bedded river were surveyed in 2002 and 2005 with the National Aeronautics and Space Administration's Experimental Advanced Airborne Research LiDAR (EAARL) and concurrently with conventional survey-grade, real-time kinematic, global positioning system technology. The laser pulses transmitted by the EAARL instrument and the return backscatter waveforms from exposed sand and submerged sand targets in the river were completely digitized and stored for postflight processing. The vertical mapping accuracy of the EAARL was evaluated by comparing the ellipsoidal heights computed from ranging measurements made using an EAARL terrestrial algorithm to nearby (<0.5m apart) ground-truth ellipsoidal heights. After correcting for apparent systematic bias in the surveys, the root mean square error of these heights with the terrestrial algorithm in the 2002 survey was 0.11m for the 26 measurements taken on exposed sand and 0.18m for the 59 measurements taken on submerged sand. In the 2005 survey, the root mean square error was 0.18m for 92 measurements taken on exposed sand and 0.24m for 434 measurements on submerged sand. In submerged areas the waveforms were complicated by reflections from the surface, water column entrained turbidity, and potentially the riverbed. When applied to these waveforms, especially in depths greater than 0.4m, the terrestrial algorithm calculated the range above the riverbed. A bathymetric algorithm has been developed to approximate the position of the riverbed in these convolved waveforms and preliminary results are encouraging. ?? 2007 ASCE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydraulic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)0733-9429(2007)133:7(838)","issn":"07339429","usgsCitation":"Kinzel, P., Wright, C.W., Nelson, J.M., and Burman, A., 2007, Evaluation of an experimental LiDAR for surveying a shallow, braided, sand-bedded river: Journal of Hydraulic Engineering, v. 133, no. 7, p. 838-842, https://doi.org/10.1061/(ASCE)0733-9429(2007)133:7(838).","startPage":"838","endPage":"842","numberOfPages":"5","costCenters":[],"links":[{"id":211634,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)0733-9429(2007)133:7(838)"},{"id":238960,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"133","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c45e4b0c8380cd52ae2","contributors":{"authors":[{"text":"Kinzel, P.J.","contributorId":27834,"corporation":false,"usgs":true,"family":"Kinzel","given":"P.J.","affiliations":[],"preferred":false,"id":428923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, C. W. wwright@usgs.gov","contributorId":49758,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":428924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, J. M.","contributorId":68687,"corporation":false,"usgs":true,"family":"Nelson","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":428925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burman, A.R.","contributorId":92050,"corporation":false,"usgs":true,"family":"Burman","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":428926,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70030847,"text":"70030847 - 2007 - First evidence of egg deposition by walleye (Sander vitreus) in the Detroit River","interactions":[],"lastModifiedDate":"2016-04-29T09:44:53","indexId":"70030847","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"First evidence of egg deposition by walleye (Sander vitreus) in the Detroit River","docAbstract":"The importance of fish spawning habitat in channels connecting the Great Lakes to fishery productivity in those lakes is poorly understood and has not been adequately documented. The Detroit River is a reputed spawning and nursery area for many fish, including walleye (Sander vitreus) that migrate between adjacent Lakes Erie and St. Clair. During April–May 2004, near the head of the Detroit River, we collected 136 fish eggs from the bottom of the river on egg mats. We incubated the eggs at the Great Lakes Science Center until they hatched. All eleven larvae that hatched from the eggs were identified as walleye. These eggs and larvae are the first credible scientific evidence that walleye spawn in the Detroit River. Their origin might be a stock of river-spawning walleye. Such a stock of walleye could potentially add resilience to production by walleye stocks that spawn and are harvested in adjacent waters.
","language":"English","publisher":"International Association for Great Lakes Research","doi":"10.3394/0380-1330(2007)33[512:FEOEDB]2.0.CO;2","issn":"03801330","usgsCitation":"Manny, B., Kennedy, G., Allen, J., and French, J.R., 2007, First evidence of egg deposition by walleye (Sander vitreus) in the Detroit River: Journal of Great Lakes Research, v. 33, no. 2, p. 512-516, https://doi.org/10.3394/0380-1330(2007)33[512:FEOEDB]2.0.CO;2.","productDescription":"5 p.","startPage":"512","endPage":"516","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":238959,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1054e4b0c8380cd53c19","contributors":{"authors":[{"text":"Manny, B.A. 0000-0002-4074-9329","orcid":"https://orcid.org/0000-0002-4074-9329","contributorId":6000,"corporation":false,"usgs":true,"family":"Manny","given":"B.A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":428919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, G.W. 0000-0003-1686-6960","orcid":"https://orcid.org/0000-0003-1686-6960","contributorId":86291,"corporation":false,"usgs":true,"family":"Kennedy","given":"G.W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":428922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, J.D.","contributorId":57656,"corporation":false,"usgs":true,"family":"Allen","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":428921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"French, J. R. P. III","contributorId":47574,"corporation":false,"usgs":true,"family":"French","given":"J.","suffix":"III","email":"","middleInitial":"R. P.","affiliations":[],"preferred":false,"id":428920,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70030845,"text":"70030845 - 2007 - Population status of North American green sturgeon, Acipenser medirostris","interactions":[],"lastModifiedDate":"2016-05-23T16:17:14","indexId":"70030845","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Population status of North American green sturgeon, Acipenser medirostris","docAbstract":"North American green sturgeon, Acipenser medirostris, was petitioned for listing under the Endangered Species Act (ESA). The two questions that need to be answered when considering an ESA listing are; (1) Is the entity a species under the ESA and if so (2) is the \"species\" in danger of extinction or likely to become an endangered species in the foreseeable future throughout all or a significant portion of its range? Green sturgeon genetic analyses showed strong differentiation between northern and southern populations, and therefore, the species was divided into Northern and Southern Distinct Population Segments (DPSs). The Northern DPS includes populations in the Rogue, Klamath-Trinity, and Eel rivers, while the Southern DPS only includes a single population in the Sacramento River. The principal risk factors for green sturgeon include loss of spawning habitat, harvest, and entrainment. The Northern DPS is not considered to be in danger of extinction or likely to become an endangered species in the foreseeable future. The loss of spawning habitat is not large enough to threaten this DPS, although the Eel River has been severely impacted by sedimentation due to poor land use practices and floods. The two main spawning populations in the Rogue and Klamath-Trinity rivers occupy separate basins reducing the potential for loss of the DPS through catastrophic events. Harvest has been substantially reduced and green sturgeon in this DPS do not face substantial entrainment loss. However there are significant concerns due to lack of information, flow and temperature issues, and habitat degradation. The Southern DPS is considered likely to become an endangered species in the foreseeable future. Green sturgeon in this DPS are concentrated into one spawning area outside of their natural habitat in the Sacramento River, making them vulnerable to catastrophic extinction. Green sturgeon spawning areas have been lost from the area above Shasta Dam on the Sacramento River and Oroville Dam on the Feather River. Entrainment of individuals into water diversion projects is an additional source of risk, and the large decline in numbers of green sturgeon entrained since 1986 causes additional concern. ?? 2006 Springer Science+Business Media B.V.
","language":"English","publisher":"Springer Netherlands","doi":"10.1007/s10641-006-9062-z","issn":"03781909","usgsCitation":"Adams, P., Grimes, C., Hightower, J., Lindley, S., Moser, M., and Parsley, M., 2007, Population status of North American green sturgeon, Acipenser medirostris: Environmental Biology of Fishes, v. 79, no. 3-4, p. 339-356, https://doi.org/10.1007/s10641-006-9062-z.","productDescription":"18 p.","startPage":"339","endPage":"356","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":211610,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-006-9062-z"},{"id":238927,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"3-4","noUsgsAuthors":false,"publicationDate":"2006-07-08","publicationStatus":"PW","scienceBaseUri":"505a7d95e4b0c8380cd7a031","contributors":{"authors":[{"text":"Adams, P.B.","contributorId":22576,"corporation":false,"usgs":true,"family":"Adams","given":"P.B.","email":"","affiliations":[],"preferred":false,"id":428913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grimes, C.","contributorId":55205,"corporation":false,"usgs":true,"family":"Grimes","given":"C.","email":"","affiliations":[],"preferred":false,"id":428914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hightower, J.E.","contributorId":16605,"corporation":false,"usgs":true,"family":"Hightower","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":428912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindley, S.T.","contributorId":58458,"corporation":false,"usgs":true,"family":"Lindley","given":"S.T.","email":"","affiliations":[],"preferred":false,"id":428915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moser, M.L.","contributorId":92006,"corporation":false,"usgs":true,"family":"Moser","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":428917,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parsley, M.J.","contributorId":59542,"corporation":false,"usgs":true,"family":"Parsley","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":428916,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70032803,"text":"70032803 - 2007 - Measurements of spectral optical properties and their relation to biogeochemical variables and processes in Crater Lake, Crater Lake National Park, OR","interactions":[],"lastModifiedDate":"2017-11-15T13:21:11","indexId":"70032803","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Measurements of spectral optical properties and their relation to biogeochemical variables and processes in Crater Lake, Crater Lake National Park, OR","docAbstract":"Spectral inherent optical properties (IOPs) have been measured at Crater Lake, OR, an extremely clear sub-alpine lake. Indeed Pure water IOPs are major contributors to the total IOPs, and thus to the color of the lake. Variations in the spatial distribution of IOPs were observed in June and September 2001, and reflect biogeochemical processes in the lake. Absorption by colored dissolved organic material increases with depth and between June and September in the upper 300 m. This pattern is consistent with a net release of dissolved organic materials from primary and secondary production through the summer and its photo-oxidation near the surface. Waters fed by a tributary near the lake's rim exhibited low levels of absorption by dissolved organic materials. Scattering is mostly dominated by organic particulate material, though inorganic material is found to enter the lake from the rim following a rain storm. Several similarities to oceanic oligotrophic regions are observed: (a) The Beam attenuation correlates well with particulate organic material (POM) and the relationship is similar to that observed in the open ocean. (b) The specific absorption of colored dissolved organic material has a value similar to that of open ocean humic material. (c) The distribution of chlorophyll with depth does not follow the distribution of particulate organic material due to photo-acclimation resulting in a subsurface pigment maximum located about 50 m below the POM maximum. ?? 2007 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10750-006-2609-3","issn":"00188158","usgsCitation":"Boss, E., Collier, R., Larson, G., Fennel, K., and Pegau, W., 2007, Measurements of spectral optical properties and their relation to biogeochemical variables and processes in Crater Lake, Crater Lake National Park, OR: Hydrobiologia, v. 574, no. 1, p. 149-159, https://doi.org/10.1007/s10750-006-2609-3.","startPage":"149","endPage":"159","numberOfPages":"11","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":241569,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213899,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-006-2609-3"}],"volume":"574","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5335e4b0c8380cd6c943","contributors":{"authors":[{"text":"Boss, E.S.","contributorId":61250,"corporation":false,"usgs":true,"family":"Boss","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":437981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collier, R.","contributorId":36370,"corporation":false,"usgs":true,"family":"Collier","given":"R.","email":"","affiliations":[],"preferred":false,"id":437979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, G.","contributorId":41585,"corporation":false,"usgs":true,"family":"Larson","given":"G.","email":"","affiliations":[],"preferred":false,"id":437980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fennel, K.","contributorId":89361,"corporation":false,"usgs":true,"family":"Fennel","given":"K.","affiliations":[],"preferred":false,"id":437983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pegau, W.S.","contributorId":82137,"corporation":false,"usgs":true,"family":"Pegau","given":"W.S.","email":"","affiliations":[],"preferred":false,"id":437982,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70030843,"text":"70030843 - 2007 - A simple model for calculating tsunami flow speed from tsunami deposits","interactions":[],"lastModifiedDate":"2023-07-27T12:14:16.160085","indexId":"70030843","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3368,"text":"Sedimentary Geology","active":true,"publicationSubtype":{"id":10}},"title":"A simple model for calculating tsunami flow speed from tsunami deposits","docAbstract":"This paper presents a simple model for tsunami sedimentation that can be applied to calculate tsunami flow speed from the thickness and grain size of a tsunami deposit (the inverse problem). For sandy tsunami deposits where grain size and thickness vary gradually in the direction of transport, tsunami sediment transport is modeled as a steady, spatially uniform process. The amount of sediment in suspension is assumed to be in equilibrium with the steady portion of the long period, slowing varying uprush portion of the tsunami. Spatial flow deceleration is assumed to be small and not to contribute significantly to the tsunami deposit. Tsunami deposits are formed from sediment settling from the water column when flow speeds on land go to zero everywhere at the time of maximum tsunami inundation. There is little erosion of the deposit by return flow because it is a slow flow and is concentrated in topographic lows. Variations in grain size of the deposit are found to have more effect on calculated tsunami flow speed than deposit thickness. The model is tested using field data collected at Arop, Papua New Guinea soon after the 1998 tsunami. Speed estimates of 14 m/s at 200 m inland from the shoreline compare favorably with those from a 1-D inundation model and from application of Bernoulli's principle to water levels on buildings left standing after the tsunami. As evidence that the model is applicable to some sandy tsunami deposits, the model reproduces the observed normal grading and vertical variation in sorting and skewness of a deposit formed by the 1998 tsunami.
[1] Starting early in 2005, the positions of GPS stations in the San Gabriel valley region of southern California showed statistically significant departures from their previous behavior. Station LONG moved up by about 47 mm, and nearby stations moved away from LONG by about 10 mm. These changes began during an extremely rainy season in southern California and coincided with a 16-m increase in water level at a nearby well in Baldwin Park and a regional uplift detected by interferometric synthetic aperture radar. No equivalent signals were seen in GPS station position time series elsewhere in southern California. Our preferred explanation, supported by the timing and by a hydrologic simulation, is deformation due to recharging of aquifers after near-record rainfall in 2004–2005. We cannot rule out an aseismic slip event, but we consider such an event unlikely because it requires slip on multiple faults and predicts other signals that are not observed.
Commonly measured water quality parameters were compared to heat as tracers of stream water exchange with ground water. Temperature, specific conductance, and chloride were sampled at various frequencies in the stream and adjacent wells over a 2-year period. Strong seasonal variations in stream water were observed for temperature and specific conductance. In observation wells where the temperature response correlated to stream water, chloride and specific conductance values were similar to stream water values as well, indicating significant stream water exchange with ground water. At sites where ground water temperature fluctuations were negligible, chloride and/or specific conductance values did not correlate to stream water values, indicating that ground water was not significantly influenced by exchange with stream water. Best-fit simulation modeling was performed at two sites to derive temperature-based estimates of hydraulic conductivities of the alluvial sediments between the stream and wells. These estimates were used in solute transport simulations for a comparison of measured and simulated values for chloride and specific conductance. Simulation results showed that hydraulic conductivities vary seasonally and annually. This variability was a result of seasonal changes in temperature-dependent hydraulic conductivity and scouring or clogging of the streambed. Specific conductance fits were good, while chloride data were difficult to fit due to the infrequent (quarterly) stream water chloride measurements during the study period. Combined analyses of temperature, chloride, and specific conductance led to improved quantification of the spatial and temporal variability of stream water exchange with shallow ground water in an alluvial system.
A suite of naturally occurring radionuclides in the U/Th decay series (222Rn, 223,224,226,228Ra) were studied during wet and dry conditions in Tampa Bay, Florida, to evaluate their utility as groundwater discharge tracers, both within the bay proper and within the Alafia River/estuary — a prominent free-flowing river that empties into the bay. In Tampa Bay, almost 30% of the combined riverine inputs still remain ungauged. Consequently, groundwater/surface water (hyporheic) exchange in the discharging coastal rivers, as well as submarine groundwater discharge (SGD) within the bay, are still unresolved components of this system's water and material budgets.
\nBased on known inputs and sinks, there exists an excess of 226Ra in the water column of Tampa Bay, which can be evaluated in terms of a submarine groundwater contribution to the bay proper. Submarine groundwater discharge rates calculated using a mass balance of excess 226Ra ranged from 2.2 to 14.5 L m− 2 day− 1, depending on whether the estuarine residence time was calculated using 224Ra/xs228Ra isotope ratios, or whether a long term, averaged model-derived estuarine residence time was used. When extrapolated to the total shoreline length of the bay, such SGD rates ranged from 1.6 to 10.3 m3 m− 1 day− 1. Activities of 222Rn were also elevated in surface water and shallow groundwater of the bay, as well as in the Alafia River estuary, where upstream activities as high as 250 dpm L− 1 indicate enhanced groundwater/surface water exchange, facilitated by an active spring vent. From average nutrient concentrations of 39 shallow, brackish, groundwater samples, rates of nutrient loading into Tampa Bay by SGD rates were estimated, and these ranged from 0.2 to 1.4 × 105 mol day− 1 (PO43−), 0.9–6.2 × 105 mol day− 1 (SiO4−), 0.7–5.0 × 105 mol day− 1 (dissolved organic nitrogen, DON), and 0.2–1.4 × 106 mol day− 1 (total dissolved nitrogen, TDN). Such nutrient loading estimates, when compared to average river discharge estimates (e.g., TDN = 6.9 × 105 mol day− 1), suggest that SGD-derived nutrient fluxes to Tampa Bay are indeed important components to the overall nutrient economy of these coastal waters.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2006.08.001","issn":"03044203","usgsCitation":"Swarzenski, P., Reich, C., Kroeger, K., and Baskaran, M., 2007, Ra and Rn isotopes as natural tracers of submarine groundwater discharge in Tampa Bay, Florida: Marine Chemistry, v. 104, no. 1-2, p. 69-84, https://doi.org/10.1016/j.marchem.2006.08.001.","productDescription":"16 p.","startPage":"69","endPage":"84","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":240772,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.03466796874999,\n 27.595934774495056\n ],\n [\n -82.320556640625,\n 27.595934774495056\n ],\n [\n -82.320556640625,\n 28.168875180063345\n ],\n [\n -83.03466796874999,\n 28.168875180063345\n ],\n [\n -83.03466796874999,\n 27.595934774495056\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"104","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9373e4b0c8380cd80e1c","contributors":{"authors":[{"text":"Swarzenski, P.W. 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":29487,"corporation":false,"usgs":true,"family":"Swarzenski","given":"P.W.","affiliations":[],"preferred":false,"id":438678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, C.","contributorId":41787,"corporation":false,"usgs":true,"family":"Reich","given":"C.","email":"","affiliations":[],"preferred":false,"id":438679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroeger, K.D.","contributorId":26060,"corporation":false,"usgs":true,"family":"Kroeger","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":438677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baskaran, M.","contributorId":96627,"corporation":false,"usgs":true,"family":"Baskaran","given":"M.","affiliations":[],"preferred":false,"id":438680,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70032954,"text":"70032954 - 2007 - Submarine groundwater discharge to Tampa Bay: Nutrient fluxes and biogeochemistry of the coastal aquifer","interactions":[],"lastModifiedDate":"2017-10-04T13:25:02","indexId":"70032954","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Submarine groundwater discharge to Tampa Bay: Nutrient fluxes and biogeochemistry of the coastal aquifer","docAbstract":"To separately quantify the roles of fresh and saline submarine groundwater discharge (SGD), relative to that of rivers, in transporting nutrients to Tampa Bay, Florida, we used three approaches (Darcy's Law calculations, a watershed water budget, and a 222Rn mass-balance) to estimate rate of SGD from the Pinellas peninsula. Groundwater samples were collected in 69 locations in the coastal aquifer to examine biogeochemical conditions, nutrient concentrations and stoichiometry, and salinity structure. Salinity structure was also examined using stationary electrical resistivity measurements. The coastal aquifer along the Pinellas peninsula was chemically reducing in all locations sampled, and that condition influences nitrogen (N) form and mobility of N and PO43−. Concentrations of NH4+, PO43− and ratio of dissolved inorganic N (DIN) to PO43− were all related to measured oxidation/reduction potential (pε) of the groundwater. Ratio of DIN: PO43− was below Redfield ratio in both fresh and saline groundwater. Nitrogen occurred almost exclusively in reduced forms, NH4+ and dissolved organic nitrogen (DON), suggesting that anthropogenic N is exported from the watershed in those forms. In comparison to other SGD studies, rate of PO43− flux in the seepage zone (μM m− 2 d− 1) in Tampa Bay was higher than previous estimates, likely due to 1) high watershed population density, 2) chemically reducing conditions, and 3) high ion concentrations in fresh groundwater. Estimates of freshwater groundwater flux indicate that the ratio of groundwater discharge to stream flow is ∼ 20 to 50%, and that the magnitudes of both the total dissolved nitrogen and PO43− loads due to fresh SGD are ∼ 40 to 100% of loads carried by streams. Estimates of SGD based on radon inventories in near-shore waters were 2 to 5 times greater than the estimates of freshwater groundwater discharge, suggesting that brackish and saline SGD is also an important process in Tampa Bay and results in flux of regenerated N and P from sediment to surface water.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2006.10.012","issn":"03044203","usgsCitation":"Kroeger, K.D., Swarzenski, P.W., Greenwood, J., and Reich, C., 2007, Submarine groundwater discharge to Tampa Bay: Nutrient fluxes and biogeochemistry of the coastal aquifer: Marine Chemistry, v. 104, no. 1-2, p. 85-97, https://doi.org/10.1016/j.marchem.2006.10.012.","productDescription":"13 p.","startPage":"85","endPage":"97","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":476989,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/1598","text":"External Repository"},{"id":240807,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.07449340820312,\n 27.281484559967133\n ],\n [\n -82.02941894531249,\n 27.281484559967133\n ],\n [\n -82.02941894531249,\n 28.32493342862181\n ],\n [\n -83.07449340820312,\n 28.32493342862181\n ],\n [\n -83.07449340820312,\n 27.281484559967133\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"104","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9d28e4b08c986b31d68d","contributors":{"authors":[{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":438686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":438685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greenwood, Jason","contributorId":49610,"corporation":false,"usgs":true,"family":"Greenwood","given":"Jason","email":"","affiliations":[],"preferred":false,"id":438688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reich, Christopher","contributorId":12942,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":438687,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70030326,"text":"70030326 - 2007 - Remaining uncertainties in the use of Rn-222 as a quantitative tracer of submarine groundwater discharge","interactions":[],"lastModifiedDate":"2012-03-12T17:21:02","indexId":"70030326","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Remaining uncertainties in the use of Rn-222 as a quantitative tracer of submarine groundwater discharge","docAbstract":"Research performed in many locations over the past decade has shown that radon is an effective tracer for quantifying submarine groundwater discharge (SGD). The technique works because both fresh and saline groundwaters acquire radon from the subterranean environment and display activities that are typically orders of magnitude greater than those found in coastal seawaters. However, some uncertainties and unanswered problems remain. We focus here on three components of the mass balance, each of which has some unresolved issues: (1) End-member radon - what to do if groundwater Rn measurements are highly variable? (2) Atmospheric evasion -do the standard gas exchange equations work under high-energy coastal mixing scenarios? And (3) \"mixing\" losses - are there other significant radon losses (e.g. recharge of coastal waters into the aquifer) besides those attributed to mixing with lower-activity waters offshore? We address these issues using data sets collected from several different types of coastal environment. Copyright ?? 2007 IAHS Press.","largerWorkTitle":"IAHS-AISH Publication","conferenceTitle":"International Symposium: A New Focus on Groundwater - Seawater Interactions - 24th General Assembly of the In","conferenceDate":"2 July 2007 through 13 July 2007","conferenceLocation":"Perugia","language":"English","issn":"01447","isbn":"9781901502046","usgsCitation":"Burnett, W.C., Santos, I., Weinstein, Y., Swarzenski, P., and Herut, B., 2007, Remaining uncertainties in the use of Rn-222 as a quantitative tracer of submarine groundwater discharge, in IAHS-AISH Publication, no. 312, Perugia, 2 July 2007 through 13 July 2007, p. 109-118.","startPage":"109","endPage":"118","numberOfPages":"10","costCenters":[],"links":[{"id":239441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"312","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa6c2e4b0c8380cd85033","contributors":{"authors":[{"text":"Burnett, W. C.","contributorId":39779,"corporation":false,"usgs":false,"family":"Burnett","given":"W.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":426705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Santos, I.R.","contributorId":94499,"corporation":false,"usgs":true,"family":"Santos","given":"I.R.","email":"","affiliations":[],"preferred":false,"id":426706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weinstein, Y.","contributorId":100186,"corporation":false,"usgs":true,"family":"Weinstein","given":"Y.","email":"","affiliations":[],"preferred":false,"id":426707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swarzenski, P.W. 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":29487,"corporation":false,"usgs":true,"family":"Swarzenski","given":"P.W.","affiliations":[],"preferred":false,"id":426704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herut, B.","contributorId":101444,"corporation":false,"usgs":true,"family":"Herut","given":"B.","affiliations":[],"preferred":false,"id":426708,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70032955,"text":"70032955 - 2007 - Seasonal variations on the residence times and partitioning of short-lived radionuclides (234Th, 7Be and 210Pb) and depositional fluxes of 7Be and 210Pb in Tampa Bay, Florida","interactions":[],"lastModifiedDate":"2014-08-20T14:42:43","indexId":"70032955","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal variations on the residence times and partitioning of short-lived radionuclides (234Th, 7Be and 210Pb) and depositional fluxes of 7Be and 210Pb in Tampa Bay, Florida","docAbstract":"Historically, Tampa Bay has been impacted heavily by a wide range of anthropogenic perturbations that may include, agricultural-, shipping-, phosphate mining/distribution-related activities, as well as a burgeoning coastal population. Due to the presence of U-rich underlying sediments, elevated activities of U- and Th-series daughter products may be naturally released into this system. This region is also known for summer thunderstorms and corresponding increases in precipitation and surface water runoff. Only limited work has been conducted on the partitioning of particle-reactive radionuclides (such as 7Be, 210Pb, and 234Th) in such a dynamic coastal system. We investigated both the removal residence time and partitioning of these radionuclides between filter-retained particulate matter (≥ 0.5 μm) and the filtrate (< 0.5 μm) phase during late spring (June 2003) and mid summer (August 2003) in the water column of Tampa Bay.
\nOur results indicate that the partitioning of 7Be, 210Pb, and 234Th between filtrate and filter-retained phase is controlled foremost by enhanced bottom resuspension events during summer thunderstorms. As a consequence, no significant relationship exists between the distribution coefficients (Kd values) of these isotopes and the concentration of suspended particulate matter (SPM). Relatively faster recycling rates of atmospheric water vapor derived from the ocean results in lower atmospheric depositional fluxes of 210Pb to the study site than predicted. The relationship between 7Be and 210Pb in bulk (wet + dry) deposition is compared to their respective water column activities. The residence times of particulate and dissolved 234Th, 7Be and 210Pb, as well the distribution coefficients of these radionuclides, are then compared to values reported in other coastal systems.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2006.06.012","issn":"03044203","usgsCitation":"Baskaran, M., and Swarzenski, P., 2007, Seasonal variations on the residence times and partitioning of short-lived radionuclides (234Th, 7Be and 210Pb) and depositional fluxes of 7Be and 210Pb in Tampa Bay, Florida: Marine Chemistry, v. 104, no. 1-2, p. 27-42, https://doi.org/10.1016/j.marchem.2006.06.012.","productDescription":"16 p.","startPage":"27","endPage":"42","numberOfPages":"16","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":213205,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marchem.2006.06.012"},{"id":240808,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.7,27.6 ], [ -82.7,28.0 ], [ -82.4,28.0 ], [ -82.4,27.6 ], [ -82.7,27.6 ] ] ] } } ] }","volume":"104","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b88f5e4b08c986b316c64","contributors":{"authors":[{"text":"Baskaran, M.","contributorId":96627,"corporation":false,"usgs":true,"family":"Baskaran","given":"M.","affiliations":[],"preferred":false,"id":438690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, P.W. 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":29487,"corporation":false,"usgs":true,"family":"Swarzenski","given":"P.W.","affiliations":[],"preferred":false,"id":438689,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}