A frequency-domain electromagnetic (FDEM) survey can be used to select locations for the more quantitative and labor-intensive electrical resistivity surveys. The FDEM survey rapidly characterized the groundwater-flow directions and configured the saline plumes caused by evaporation from several groundwater-dominated lakes in the Nebraska Sand Hills, USA. The FDEM instrument was mounted on a fiberglass cart and towed by an all-terrain vehicle, covering about 25 km/day. Around the saline lakes, areas with high electrical conductivity are consistent with the regional and local groundwater flow directions. The efficacy of this geophysical approach is attributed to: the high contrast in electrical conductivity between various groundwater zones; the shallow location of the saline zones; minimal cultural interference; and relative homogeneity of the aquifer materials.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-010-0617-x","usgsCitation":"Ong, J.B., Lane, J.W., Zlotnik, V.A., Halihan, T., and White, E.A., 2010, Combined use of frequency-domain electromagnetic and electrical resistivity surveys to delineate near-lake groundwater flow in the semi-arid Nebraska Sand Hills, USA: Hydrogeology Journal, v. 18, no. 6, p. 1539-1545, https://doi.org/10.1007/s10040-010-0617-x.","productDescription":"7 p.","startPage":"1539","endPage":"1545","ipdsId":"IP-015945","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":349124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Nebraska Sand Hills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.8333,\n 41.6667\n ],\n [\n -102.3333,\n 41.6667\n ],\n [\n -102.3333,\n 42\n ],\n [\n -102.8333,\n 42\n ],\n [\n -102.8333,\n 41.6667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2010-06-09","publicationStatus":"PW","scienceBaseUri":"5a610aabe4b06e28e9c256c6","contributors":{"authors":[{"text":"Ong, John B. jbong@usgs.gov","contributorId":5190,"corporation":false,"usgs":true,"family":"Ong","given":"John","email":"jbong@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":720298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":720297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zlotnik, Vitaly A.","contributorId":19985,"corporation":false,"usgs":true,"family":"Zlotnik","given":"Vitaly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halihan, Todd","contributorId":68856,"corporation":false,"usgs":true,"family":"Halihan","given":"Todd","affiliations":[],"preferred":false,"id":720299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":720296,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70044001,"text":"70044001 - 2010 - Snake River Fall Chinook Salmon life history investigations annual report, 2009","interactions":[],"lastModifiedDate":"2018-07-18T09:58:31","indexId":"70044001","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Snake River Fall Chinook Salmon life history investigations annual report, 2009","docAbstract":"In 2009, we used radio and acoustic telemetry to evaluate the migratory behavior, survival, mortality, and delay of subyearling fall Chinook salmon in the Clearwater River and Lower Granite Reservoir. We released a total of 1,000 tagged hatchery subyearlings at Cherry Lane on the Clearwater River in mid August and we monitored them as they passed downstream through various river and reservoir reaches. Survival through the free-flowing river was high (>0.85) for both radio- and acoustic-tagged fish, but dropped substantially as fish delayed in the Transition Zone and Confluence areas. Estimates of the joint probability of migration and survival through the Transition Zone and Confluence reaches combined were similar for both radio- and acoustic-tagged fish, and ranged from about 0.30 to 0.35. Estimates of the joint probability of delaying and surviving in the combined Transition Zone and Confluence peaked at the beginning of the study, ranging from 0.323 (SE =NA; radio-telemetry data) to 0.466 (SE =0.024; acoustic-telemetry data), and then steadily declined throughout the remainder of the study. By the end of October, no live tagged juvenile salmon were detected in either the Transition Zone or the Confluence. As estimates of the probability of delay decreased throughout the study, estimates of the probability of mortality increased, as evidenced by the survival estimate of 0.650 (SE =0.025) at the end of October (acoustic-telemetry data). Few fish were detected at Lower Granite Dam during our study and even fewer fish passed the dam before PIT-tag monitoring ended at the end of October. Five acoustic-tagged fish passed Lower Granite Dam in October and 12 passed the dam in November based on detections in the dam tailrace; however, too few detections were available to calculate the joint probabilities of migrating and surviving or delaying and surviving. Estimates of the joint probability of migrating and surviving through the reservoir was less than 0.2 based on acoustic-tagged fish. Migration rates of tagged fish were highest in the free-flowing river (median range = 36 to 43 km/d) but were generally less than 6 km/d in the reservoir reaches. In particular, median migration rates of radio-tagged fish through the Transition Zone and Confluence were 3.4 and 5.2 km/d, respectively. Median migration rate for acoustic-tagged fish though the Transition Zone and Confluence combined was 1 km/d.
We radio tagged 84 smallmouth bass and six channel catfish in the Confluence reach and later detected 48 bass and 1 catfish during mobile tracking. Predators were primarily located along shorelines in the Confluence, but a couple of smallmouth bass did swim into the Clearwater River. Most radio-tagged subyearlings that we determined to be dead were also located in shoreline areas suggesting that predation could account for some of the mortality we observed.
Our total dissolved gas (TDG) monitoring in the lower Clearwater River showed a cyclic pattern of low (~102%) TDG in the morning and higher (~110%) TDG in the late afternoon. Using a compensation depth of 1 m, we found that 15.4% (3.9 ha) of the lower 13 km of the Clearwater River would not provide fish with an opportunity for depth compensation in a low flow year. Water temperatures in the Clearwater River showed diel variations of about 2°C, and generally ranged from 10-12°C during summer flow augmentation. The Clearwater River generally showed little thermal variation while our tagged fish were at large, whereas the Snake River at the downstream boundary of the Confluence was thermally heterogeneous until mid-September. In the unimpounded Clearwater River, simulated water velocities ranged from about 1.3 to 1.5 m/s before flow augmentation ended, and were about 0.6 m/s thereafter. By comparison, velocities at the Clearwater River mouth were about 0.3 m/s during flow augmentation, and about 0.1 m/s thereafter.
From October 2008 to February 2009 and from July 2009 to March 2010 we used monthly mobile hydroacoustic surveys to estimate the number of juvenile Chinook salmon in Little Goose and Lower Granite reservoirs, the first two reservoirs encountered on the lower Snake River by downstream migrants. Concurrent lampara seining was used to verify acoustic targets, calculate condition factors, and to examine spatial and temporal density patterns. Our data indicated that holdovers are larger in warmer water temperature years and smaller in colder water temperature years. Lampara catch data indicated that holdovers were seasonally the most abundant and in the best condition in November and December, whereas the hydroacoustic data showed population peaks in October in Lower Granite Reservoir and in January in Little Goose Reservoir. Maximum population estimates in Lower Granite Reservoir were 6,929 in October 2008 and 7,218 in October 2009. In Little Goose Reservoir, maximum population estimates were 9,645 in January 2009 and 10,419 in January 2010. By February, abundances and relative condition factors decreased as most holdovers had probably moved past Lower Granite and Little Goose dams. Spatial differences were primarily longitudinal with greater holdover abundances in the lower reaches of both reservoirs.
","publisher":"Bonneville Power Administration Report","usgsCitation":"Tiffan, K.F., Connor, W., Buchanan, R.A., and Bellgraph, B.J., 2010, Snake River Fall Chinook Salmon life history investigations annual report, 2009, 121 p.","productDescription":"121 p.","ipdsId":"IP-024989","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":355741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355726,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pisces.bpa.gov/release/documents/documentviewer.aspx?doc=P118192"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98b70ce4b0702d0e844d58","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":740226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, William P.","contributorId":115438,"corporation":false,"usgs":true,"family":"Connor","given":"William P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID 83544","active":true,"usgs":false}],"preferred":false,"id":517068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bellgraph, Brian J.","contributorId":115176,"corporation":false,"usgs":true,"family":"Bellgraph","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":517067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buchanan, Rebecca A.","contributorId":117624,"corporation":false,"usgs":true,"family":"Buchanan","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":517070,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156576,"text":"70156576 - 2010 - Controls on the global distribution of orogenic gold and their significance in relation to India","interactions":[],"lastModifiedDate":"2021-11-09T16:43:29.455961","indexId":"70156576","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Controls on the global distribution of orogenic gold and their significance in relation to India","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Gold metallogeny: India and beyond","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Narosa Publishing House","publisherLocation":"New Delhi","usgsCitation":"Deb, M., Goldfarb, R.J., Groves, D.I., and Taylor, R.D., 2010, Controls on the global distribution of orogenic gold and their significance in relation to India, chap. of Gold metallogeny: India and beyond, p. 48-57.","productDescription":"9 p.","startPage":"48","endPage":"57","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017758","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science 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Mihir Mihir","contributorId":117444,"corporation":false,"usgs":true,"family":"Deb","given":"Mihir","suffix":"Mihir","email":"","affiliations":[],"preferred":false,"id":569557,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Goldfarb, Richard J. goldfarb@usgs.gov","contributorId":1205,"corporation":false,"usgs":true,"family":"Goldfarb","given":"Richard","email":"goldfarb@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":569558,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Deb, Mihir Mihir","contributorId":117444,"corporation":false,"usgs":true,"family":"Deb","given":"Mihir","suffix":"Mihir","email":"","affiliations":[],"preferred":false,"id":569553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldfarb, Richard J. goldfarb@usgs.gov","contributorId":1205,"corporation":false,"usgs":true,"family":"Goldfarb","given":"Richard","email":"goldfarb@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":569554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groves, David I.","contributorId":34194,"corporation":false,"usgs":false,"family":"Groves","given":"David","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":569555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, R. D.","contributorId":56385,"corporation":false,"usgs":true,"family":"Taylor","given":"R.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":569556,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98651,"text":"ofr20091121 - 2010 - Decision analysis framing study: In-valley drainage management strategies for the western San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2022-12-15T20:23:20.959113","indexId":"ofr20091121","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1121","title":"Decision analysis framing study: In-valley drainage management strategies for the western San Joaquin Valley, California","docAbstract":"Constraints on drainage management in the western San Joaquin Valley and implications of proposed approaches to management were recently evaluated by the U.S. Geological Survey (USGS). The USGS found that a significant amount of data for relevant technical issues was available and that a structured, analytical decision support tool could help optimize combinations of specific in-valley drainage management strategies, address uncertainties, and document underlying data analysis for future use. To follow-up on USGS's technical analysis and to help define a scientific basis for decisionmaking in implementing in-valley drainage management strategies, this report describes the first step (that is, a framing study) in a Decision Analysis process. In general, a Decision Analysis process includes four steps: (1) problem framing to establish the scope of the decision problem(s) and a set of fundamental objectives to evaluate potential solutions, (2) generation of strategies to address identified decision problem(s), (3) identification of uncertainties and their relationships, and (4) construction of a decision support model. Participation in such a systematic approach can help to promote consensus and to build a record of qualified supporting data for planning and implementation.\r\n\r\nIn December 2008, a Decision Analysis framing study was initiated with a series of meetings designed to obtain preliminary input from key stakeholder groups on the scope of decisions relevant to drainage management that were of interest to them, and on the fundamental objectives each group considered relevant to those decisions. Two key findings of this framing study are: (1) participating stakeholders have many drainage management objectives in common; and (2) understanding the links between drainage management and water management is necessary both for sound science-based decisionmaking and for resolving stakeholder differences about the value of proposed drainage management solutions.\r\n\r\nCiting ongoing legal processes associated with drainage management in the western San Joaquin Valley, the U.S. Bureau of Reclamation (USBR) withdrew from the Decision Analysis process early in the proceedings. Without the involvement of the USBR, the USGS discontinued further development of this study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091121","usgsCitation":"Presser, T.S., Jenni, K., Nieman, T., and Coleman, J., 2010, Decision analysis framing study: In-valley drainage management strategies for the western San Joaquin Valley, California: U.S. Geological Survey Open-File Report 2009-1121, iii, 12 p., https://doi.org/10.3133/ofr20091121.","productDescription":"iii, 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":14054,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1121/","linkFileType":{"id":5,"text":"html"}},{"id":410568,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93936.htm","linkFileType":{"id":5,"text":"html"}},{"id":115915,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1121.jpg"}],"country":"United States","state":"California","county":"San Joaquin Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.5656,\n 35.0631\n ],\n [\n -121.5656,\n 37.75\n ],\n [\n -118.9717,\n 37.75\n ],\n [\n -118.9717,\n 35.0631\n ],\n [\n -121.5656,\n 35.0631\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672758","contributors":{"authors":[{"text":"Presser, Theresa S. 0000-0001-5643-0147 tpresser@usgs.gov","orcid":"https://orcid.org/0000-0001-5643-0147","contributorId":2467,"corporation":false,"usgs":true,"family":"Presser","given":"Theresa","email":"tpresser@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":306010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenni, Karen E.","contributorId":21256,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen E.","affiliations":[],"preferred":false,"id":306011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nieman, Timothy","contributorId":91965,"corporation":false,"usgs":true,"family":"Nieman","given":"Timothy","affiliations":[],"preferred":false,"id":306013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coleman, James","contributorId":63123,"corporation":false,"usgs":true,"family":"Coleman","given":"James","affiliations":[],"preferred":false,"id":306012,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98649,"text":"cir1361 - 2010 - Effects of low-impact-development (LID) practices on streamflow, runoff quantity, and runoff quality in the Ipswich River Basin, Massachusetts: A summary of field and modeling studies","interactions":[],"lastModifiedDate":"2022-09-15T19:14:39.9405","indexId":"cir1361","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1361","title":"Effects of low-impact-development (LID) practices on streamflow, runoff quantity, and runoff quality in the Ipswich River Basin, Massachusetts: A summary of field and modeling studies","docAbstract":"Low-impact-development (LID) approaches are intended to create, retain, or restore natural hydrologic and water-quality conditions that may be affected by human alterations. Wide-scale implementation of LID techniques may offer the possibility of improving conditions in river basins, such as the Ipswich River Basin in Massachusetts, that have run dry during the summer because of groundwater withdrawals and drought. From 2005 to 2008, the U.S. Geological Survey, in a cooperative funding agreement with the Massachusetts Department of Conservation and Recreation, monitored small-scale installations of LID enhancements designed to diminish the effects of storm runoff on the quantity and quality of surface water and groundwater. Funding for the studies also was contributed by the U.S. Environmental Protection Agency’s Targeted Watersheds Grant Program through a financial assistance agreement with Massachusetts Department of Conservation and Recreation. The monitoring studies examined the effects of
In addition to these small-scale installations, the U.S. Geological Survey’s Ipswich River Basin model was used to simulate the basin-wide effects on streamflow of several changes: broad-scale implementation of LID techniques, reduced water-supply withdrawals, and water-conservation measures. Water-supply and conservation scenarios for application in model simulations were developed with the assistance of two technical advisory committees that included representatives of State agencies responsible for water resources, the U.S. Environmental Protection Agency, the U.S. Geological Survey, water suppliers, and non-governmental organizations.
From June 2005 to June 2007, groundwater quality was monitored at the Silver Lake town beach parking lot in Wilmington, Massachusetts, prior to and following the replacement of the conventional, impervious-asphalt surface with a porous surface consisting primarily of porous asphalt and porous pavers designed to enhance rainfall infiltration into the groundwater and to minimize runoff to Silver Lake. Concentrations of phosphorus, nitrogen, cadmium, chromium, copper, lead, nickel, zinc, and total petroleum hydrocarbons in groundwater were monitored. Enhancing infiltration of precipitation did not result in discernible increases in concentrations of these potential groundwater contaminants. Concentrations of dissolved oxygen increased slightly in groundwater profiles following the removal of the impervious asphalt parking-lot surface.
In Wilmington, Massachusetts, in a 3-acre neighborhood, stormwater runoff volume and quality were monitored to determine the ability of selected LID enhancements (rain gardens and porous paving stones) to reduce flows and loads of the selected constituents to Silver Lake. Water-quality samples were analyzed for nutrients, metals, total petroleum hydrocarbons, and total-coliform and E. coli bacteria. A decrease in runoff quantity was observed for storms of 0.25 inch or less of precipitation. Water-quality-monitoring results were inconclusive; there were no statistically significant differences in concentrations or loads when the pre- and post-installation-period samples were compared.
In a third field study, the characteristics of runoff from a vegetated \"green\" roof and a conventional, rubber-membrane roof were compared. The two primary factors affecting the green roof’s water-storage capacity were the amount of precipitation and antecedent dry period. Although concentrations of many of the chemicals in roof runoff were higher from the green roof than from the conventional roof, the ability of the green roof to retain water generally resulted in decreased differences between the total amounts (loads) of the chemicals that ran off the roofs.
Land-use and water-management changes associated with LID implementation were investigated at multiple spatial scales, using the U.S. Geological Survey’s Ipswich River Basin model, to evaluate the effects of
The new baseline simulation indicated that reduced water-supply withdrawals for the towns of Reading and Wilmington led to substantially higher medium and low flows in most of the reaches upstream from the South Middleton streamgage in the upper Ipswich River basin.
Overall, simulations pointed to the importance of spatial scale in determining the effects of land-use change and LID practices on streamflow. Potential land-use changes at buildout had modest effects on streamflow in most subbasins (percent differences of less than 20 percent) because relatively little land in the basin was available for development. Results of the simulations conducted to evaluate widespread effective-impervious-area reductions upstream from the South Middleton streamgage indicated that the percentages of urban land use and associated effective impervious area were too small for even a 50-percent reduction of effective impervious area to appreciably affect streamflow in most subbasins. In contrast, the results of the hypothetical local-scale simulations indicated that for smaller streams, with high percentages of urban land use and associated effective impervious area, land-use change, development patterns, and LID practices may have substantial effects on streamflow. Modeling studies concurred with the results of fieldwork in the assessment that LID enhancements would likely have the greatest effect on decreasing stormwater runoff when broadly applied to highly impervious urban areas.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/cir1361","collaboration":"Prepared in cooperation with the\r\nMassachusetts Department of Conservation and Recreation and the U.S. Environmental Protection Agency","usgsCitation":"Zimmerman, M.J., Waldron, M.C., Barbaro, J.R., and Sorenson, J.R., 2010, Effects of low-impact-development (LID) practices on streamflow, runoff quantity, and runoff quality in the Ipswich River Basin, Massachusetts: A summary of field and modeling studies: U.S. Geological Survey Circular 1361, 40 p., https://doi.org/10.3133/cir1361.","productDescription":"40 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":115918,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1361.jpg"},{"id":406782,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93937.htm","linkFileType":{"id":5,"text":"html"}},{"id":14052,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1361/","linkFileType":{"id":5,"text":"html"}}],"scale":"25000","projection":"Lambert Conformal Conic Projection","country":"United States","state":"Massachusetts","otherGeospatial":"Ipswich River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.2,\n 42.5\n ],\n [\n -70.775,\n 42.5\n ],\n [\n -70.775,\n 42.6989\n ],\n [\n -71.2,\n 42.6989\n ],\n [\n -71.2,\n 42.5\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611c63","contributors":{"authors":[{"text":"Zimmerman, Marc J. mzimmerm@usgs.gov","contributorId":3245,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Marc","email":"mzimmerm@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waldron, Marcus C. mwaldron@usgs.gov","contributorId":1867,"corporation":false,"usgs":true,"family":"Waldron","given":"Marcus","email":"mwaldron@usgs.gov","middleInitial":"C.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142 jrbarbar@usgs.gov","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":1626,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"jrbarbar@usgs.gov","middleInitial":"R.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sorenson, Jason R. 0000-0001-5553-8594 jsorenso@usgs.gov","orcid":"https://orcid.org/0000-0001-5553-8594","contributorId":3468,"corporation":false,"usgs":true,"family":"Sorenson","given":"Jason","email":"jsorenso@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306006,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156088,"text":"70156088 - 2010 - Bald eagle predation on common loon egg","interactions":[],"lastModifiedDate":"2016-08-03T17:57:10","indexId":"70156088","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Bald eagle predation on common loon egg","docAbstract":"The Common Loon (Gavia immer) must defend against many potential egg predators during incubation, including corvids, Herring Gulls (Larus argentatus), raccoons (Procyon lotor), striped skunk (Mephitis mephitis), fisher (Martes pennanti), and mink (Neovison vison) (McIntyre 1988, Evers 2004, McCann et al. 2005). Bald Eagles (Haliaeetus leucocephalus) have been documented as predators of both adult Common Loons and their chicks (Vliestra and Paruk 1997, Paruk et al. 1999, Erlandson et al. 2007, Piper et al. 2008). In Wisconsin, where nesting Bald Eagles are abundant (>1200 nesting pairs, >1 young/pair/year), field biologists observed four instances of eagle predation of eggs in loon nests during the period 2002–2004 (M. Meyer pers. comm.). In addition, four cases of eagle predation of incubating adult loons were inferred from evidence found at the loon nest (dozens of plucked adult loon feathers, no carcass remains) and/or loon leg, neck, and skull bones beneath two active eagle nests, including leg bones containing the bands of the nearby (<25 m) incubating adult loon. However, although loon egg predation has been associated with Bald Eagles, predation events have yet to be described in peer-reviewed literature. Here we describe a photographic observation of predation on a Common Loon egg by an immature Bald Eagle as captured by a nest surveillance video camera on Lake Umbagog, a large lake (32 km2) at Umbagog National Wildlife Refuge (UNWR) in Maine.
","language":"English","publisher":"Raptor Research Foundation","doi":"10.3356/JRR-09-72.1","usgsCitation":"DeStefano, S., McCarthy, K.P., and Laskowski, T., 2010, Bald eagle predation on common loon egg: Journal of Raptor Research, v. 44, no. 3, p. 249-251, https://doi.org/10.3356/JRR-09-72.1.","productDescription":"2 p.","startPage":"249","endPage":"251","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010180","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":306831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Lake Umbagog","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.09630584716797,\n 44.70062975596728\n ],\n [\n -71.09630584716797,\n 44.78354083744795\n ],\n [\n -71.01408004760742,\n 44.78354083744795\n ],\n [\n -71.01408004760742,\n 44.70062975596728\n ],\n [\n -71.09630584716797,\n 44.70062975596728\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d4572de4b0518e354694ab","contributors":{"authors":[{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":2874,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":567841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarthy, Kyle P.","contributorId":146574,"corporation":false,"usgs":false,"family":"McCarthy","given":"Kyle","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":568336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laskowski, Tom","contributorId":146575,"corporation":false,"usgs":false,"family":"Laskowski","given":"Tom","email":"","affiliations":[],"preferred":false,"id":568337,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156079,"text":"70156079 - 2010 - King eider use an income strategy for egg production: a case study for incorporating individual dietary variation into nutrient allocation research","interactions":[],"lastModifiedDate":"2015-08-19T12:02:43","indexId":"70156079","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"King eider use an income strategy for egg production: a case study for incorporating individual dietary variation into nutrient allocation research","docAbstract":"The use of stored nutrients for reproduction represents an important component of life-history variation. Recent studies from several species have used stable isotopes to estimate the reliance on stored body reserves in reproduction. Such approaches rely on population-level dietary endpoints to characterize stored reserves (“capital”) and current diet (“income”). Individual variation in diet choice has so far not been incorporated in such approaches, but is crucial for assessing variation in nutrient allocation strategies. We investigated nutrient allocation to egg production in a large-bodied sea duck in northern Alaska, the king eider (Somateria spectabilis). We first used Bayesian isotopic mixing models to quantify at the population level the amount of endogenous carbon and nitrogen invested into egg proteins based on carbon and nitrogen isotope ratios. We then defined the isotopic signature of the current diet of every nesting female based on isotope ratios of eggshell membranes, because diets varied isotopically among individual king eiders on breeding grounds. We used these individual-based dietary isotope signals to characterize nutrient allocation for each female in the study population. At the population level, the Bayesian and the individual-based approaches yielded identical results, and showed that king eiders used an income strategy for the synthesis of egg proteins. The majority of the carbon and nitrogen in albumen (C: 86 ± 18%, N: 99 ± 1%) and the nitrogen in lipid-free yolk (90 ± 15%) were derived from food consumed on breeding grounds. Carbon in lipid-free yolk derived evenly from endogenous sources and current diet (exogenous C: 54 ± 24%), but source contribution was highly variable among individual females. These results suggest that even large-bodied birds traditionally viewed as capital breeders use exogenous nutrients for reproduction. We recommend that investigations of nutrient allocation should incorporate individual variation into mixing models to reveal intraspecific variation in reproductive strategies.
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M.","contributorId":66173,"corporation":false,"usgs":true,"family":"O’Brien","given":"Diane","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":568604,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179341,"text":"70179341 - 2010 - Snake River fall Chinook salmon life history investigations, annual report 2008","interactions":[],"lastModifiedDate":"2017-02-16T10:36:06","indexId":"70179341","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Snake River fall Chinook salmon life history investigations, annual report 2008","docAbstract":"In 2009, we used radio and acoustic telemetry to evaluate the migratory behavior, survival, mortality, and delay of subyearling fall Chinook salmon in the Clearwater River and Lower Granite Reservoir. We released a total of 1,000 tagged hatchery subyearlings at Cherry Lane on the Clearwater River in mid August and we monitored them as they passed downstream through various river and reservoir reaches. Survival through the free-flowing river was high (>0.85) for both radio- and acoustic-tagged fish, but dropped substantially as fish delayed in the Transition Zone and Confluence areas. Estimates of the joint probability of migration and survival through the Transition Zone and Confluence reaches combined were similar for both radio- and acoustic-tagged fish, and ranged from about 0.30 to 0.35. Estimates of the joint probability of delaying and surviving in the combined Transition Zone and Confluence peaked at the beginning of the study, ranging from 0.323 ( SE =NA; radio-telemetry data) to 0.466 ( SE =0.024; acoustic-telemetry data), and then steadily declined throughout the remainder of the study. By the end of October, no live tagged juvenile salmon were detected in either the Transition Zone or the Confluence. As estimates of the probability of delay decreased throughout the study, estimates of the probability of mortality increased, as evidenced by the survival estimate of 0.650 ( SE =0.025) at the end of October (acoustic-telemetry data). Few fish were detected at Lower Granite Dam during our study and even fewer fish passed the dam before PIT-tag monitoring ended at the end of October. Five acoustic-tagged fish passed Lower Granite Dam in October and 12 passed the dam in November based on detections in the dam tailrace; however, too few detections were available to calculate the joint probabilities of migrating and surviving or delaying and surviving. Estimates of the joint probability of migrating and surviving through the reservoir was less than 0.2 based on acoustic-tagged fish. Migration rates of tagged fish were highest in the free-flowing river (median range = 36 to 43 km/d) but were generally less than 6 km/d in the reservoir reaches. In particular, median migration rates of radio-tagged fish through the Transition Zone and Confluence were 3.4 and 5.2 km/d, respectively. Median migration rate for acoustic-tagged fish though the Transition Zone and Confluence combined was 1 km/d.
","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Tiffan, K.F., Connor, W.P., Bellgraph, B., and Buchanan, R.A., 2010, Snake River fall Chinook salmon life history investigations, annual report 2008, v., 116 p. .","productDescription":"v., 116 p. ","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Washington","otherGeospatial":"Clearwater River, Lower Granite Reservoirs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.17742919921875,\n 46.44069599413034\n ],\n [\n -117.04010009765625,\n 46.44069599413034\n ],\n [\n -116.90689086914064,\n 46.445427497233844\n ],\n [\n -116.75308227539062,\n 46.50122820195782\n ],\n [\n -116.70089721679686,\n 46.50878999443673\n ],\n [\n -116.71188354492188,\n 46.48042784896914\n ],\n [\n -116.90551757812499,\n 46.417032314661775\n ],\n [\n -117.00714111328125,\n 46.41229834595414\n ],\n [\n -117.01263427734374,\n 46.35261512930026\n ],\n [\n -116.92062377929686,\n 46.24730022570339\n ],\n [\n -116.90139770507811,\n 46.1560536971598\n ],\n [\n -116.90277099609374,\n 46.08370938230368\n ],\n [\n -116.90277099609374,\n 46.03034226096046\n ],\n [\n -116.971435546875,\n 46.026528350100904\n ],\n [\n -117.03186035156251,\n 46.07323062540835\n ],\n [\n -117.01675415039064,\n 46.1997949019545\n ],\n [\n -117.07443237304686,\n 46.30899569419859\n ],\n [\n -117.07443237304686,\n 46.403776166694634\n ],\n [\n -117.20626831054688,\n 46.408510875107204\n ],\n [\n -117.22961425781249,\n 46.419872498633765\n ],\n [\n -117.20214843749999,\n 46.45394316729876\n ],\n [\n -117.17742919921875,\n 46.44069599413034\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58662f13e4b0cd2dabe7c4b5","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, William P.","contributorId":107589,"corporation":false,"usgs":false,"family":"Connor","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID 83544","active":true,"usgs":false}],"preferred":false,"id":656854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bellgraph, Brian J.","contributorId":138844,"corporation":false,"usgs":false,"family":"Bellgraph","given":"Brian J.","affiliations":[{"id":6727,"text":"Pacific Northwest National Laboratory, Richland, WA","active":true,"usgs":false}],"preferred":false,"id":656855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buchanan, Rebecca A.","contributorId":117624,"corporation":false,"usgs":true,"family":"Buchanan","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":656856,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70038433,"text":"70038433 - 2010 - White-nose syndrome fungus (Geomyces destructans) in bats, Europe","interactions":[],"lastModifiedDate":"2021-01-15T13:23:06.735911","indexId":"70038433","displayToPublicDate":"2010-08-31T13:55:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1493,"text":"Emerging Infectious Diseases","active":true,"publicationSubtype":{"id":10}},"title":"White-nose syndrome fungus (Geomyces destructans) in bats, Europe","docAbstract":"White-nose syndrome is an emerging disease in North America that has caused substantial declines in hibernating bats. A recently identified fungus (Geomyces destructans) causes skin lesions that are characteristic of this disease. Typical signs of this infection were not observed in bats in North America before white-nose syndrome was detected. However, unconfirmed reports from Europe indicated white fungal growth on hibernating bats without associated deaths. To investigate these differences, hibernating bats were sampled in Germany, Switzerland, and Hungary to determine whether G. destructans is present in Europe. Microscopic observations, fungal culture, and genetic analyses of 43 samples from 23 bats indicated that 21 bats of 5 species in 3 countries were colonized by G. destructans. We hypothesize that G. destructans is present throughout Europe and that bats in Europe may be more immunologically or behaviorally resistant to G. destructans than their congeners in North America because they potentially coevolved with the fungus.
","language":"English","publisher":"Centers for Disease Control and Prevention","doi":"10.3201/eid1608.100002","usgsCitation":"Wibbelt, G., Kurth, A., Hellmann, D., Weishaar, M., Barlow, A., Veith, M., Pruger, J., Gorfol, T., Grosche, T., Bontadina, F., Zophel, U., Seidl, H., Cryan, P., and Blehert, D., 2010, White-nose syndrome fungus (Geomyces destructans) in bats, Europe: Emerging Infectious Diseases, v. 16, no. 8, p. 1237-1242, https://doi.org/10.3201/eid1608.100002.","productDescription":"6 p.","startPage":"1237","endPage":"1242","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":475676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid1608.100002","text":"Publisher Index Page"},{"id":382192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Germany, Hungary, Switzerland","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":\"13\",\"properties\":{\"name\":\"Germany\"},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[9.92191,54.9831],[9.93958,54.59664],[10.95011,54.36361],[10.93947,54.00869],[11.95625,54.19649],[12.51844,54.47037],[13.64747,54.07551],[14.11969,53.75703],[14.35332,53.24817],[14.07452,52.98126],[14.4376,52.62485],[14.68503,52.08995],[14.6071,51.74519],[15.017,51.10667],[14.57072,51.00234],[14.30701,51.11727],[14.05623,50.92692],[13.33813,50.73323],[12.96684,50.48408],[12.24011,50.26634],[12.41519,49.96912],[12.52102,49.54742],[13.03133,49.30707],[13.59595,48.87717],[13.24336,48.41611],[12.8841,48.28915],[13.02585,47.63758],[12.93263,47.46765],[12.62076,47.67239],[12.14136,47.70308],[11.42641,47.52377],[10.5445,47.5664],[10.40208,47.30249],[9.89607,47.5802],[9.59423,47.52506],[8.52261,47.83083],[8.3173,47.61358],[7.46676,47.62058],[7.59368,48.33302],[8.09928,49.01778],[6.65823,49.20196],[6.18632,49.4638],[6.24275,49.90223],[6.04307,50.12805],[6.15666,50.80372],[5.98866,51.85162],[6.5894,51.85203],[6.84287,52.22844],[7.09205,53.14404],[6.90514,53.48216],[7.10042,53.69393],[7.93624,53.7483],[8.12171,53.52779],[8.80073,54.02079],[8.57212,54.39565],[8.52623,54.96274],[9.28205,54.83087],[9.92191,54.9831],[9.92191,54.9831]]]}},{\"type\":\"Feature\",\"id\":\"96\",\"properties\":{\"name\":\"Hungary\"},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[16.2023,46.85239],[16.53427,47.49617],[16.34058,47.7129],[16.90375,47.71487],[16.97967,48.1235],[17.48847,47.86747],[17.85713,47.75843],[18.69651,47.88095],[18.77702,48.08177],[19.17436,48.11138],[19.66136,48.26661],[19.76947,48.20269],[20.23905,48.32757],[20.47356,48.56285],[20.80129,48.62385],[21.87224,48.31997],[22.08561,48.42226],[22.64082,48.15024],[22.71053,47.88219],[22.09977,47.67244],[21.62651,46.99424],[21.02195,46.31609],[20.22019,46.12747],[19.59604,46.17173],[18.82984,45.90888],[18.45606,45.75948],[17.63007,45.95177],[16.88252,46.38063],[16.56481,46.50375],[16.3705,46.84133],[16.2023,46.85239],[16.2023,46.85239]]]}},{\"type\":\"Feature\",\"id\":\"163\",\"properties\":{\"name\":\"Switzerland\"},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[9.59423,47.52506],[9.63293,47.3476],[9.47997,47.10281],[9.93245,46.92073],[10.4427,46.89355],[10.36338,46.48357],[9.92284,46.3149],[9.18288,46.44021],[8.96631,46.03693],[8.48995,46.00515],[8.31663,46.16364],[7.75599,45.82449],[7.27385,45.77695],[6.84359,45.99115],[6.5001,46.42967],[6.02261,46.27299],[6.03739,46.72578],[6.76871,47.28771],[6.73657,47.5418],[7.1922,47.44977],[7.46676,47.62058],[8.3173,47.61358],[8.52261,47.83083],[9.59423,47.52506],[9.59423,47.52506]]]}}]}","volume":"16","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd079e4b08c986b32ee96","contributors":{"authors":[{"text":"Wibbelt, G.","contributorId":46356,"corporation":false,"usgs":true,"family":"Wibbelt","given":"G.","affiliations":[],"preferred":false,"id":464115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kurth, A.","contributorId":82172,"corporation":false,"usgs":true,"family":"Kurth","given":"A.","email":"","affiliations":[],"preferred":false,"id":464122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hellmann, D.","contributorId":88999,"corporation":false,"usgs":true,"family":"Hellmann","given":"D.","email":"","affiliations":[],"preferred":false,"id":464126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weishaar, M.","contributorId":12742,"corporation":false,"usgs":true,"family":"Weishaar","given":"M.","email":"","affiliations":[],"preferred":false,"id":464113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barlow, 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P.M.","contributorId":82635,"corporation":false,"usgs":true,"family":"Cryan","given":"P.M.","affiliations":[],"preferred":false,"id":464123,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Blehert, D.S. 0000-0002-1065-9760","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":51982,"corporation":false,"usgs":true,"family":"Blehert","given":"D.S.","affiliations":[],"preferred":false,"id":464117,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":98647,"text":"pp1772 - 2010 - Groundwater-quality data and regional trends in the Virginia Coastal Plain, 1906-2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"pp1772","displayToPublicDate":"2010-08-31T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1772","title":"Groundwater-quality data and regional trends in the Virginia Coastal Plain, 1906-2007","docAbstract":"A newly developed regional perspective of the hydrogeology of the Virginia Coastal Plain incorporates updated information on groundwater quality in the area. Local-scale groundwater-quality information is provided by a comprehensive dataset compiled from multiple Federal and State agency databases. Groundwater-sample chemical-constituent values and related data are presented in tables, summaries, location maps, and discussions of data quality and limitations.\r\n\r\nSpatial trends in groundwater quality and related processes at the regional scale are determined from interpretive analyses of the sample data. Major ions that dominate the chemical composition of groundwater in the deep Piney Point, Aquia, and Potomac aquifers evolve eastward and with depth from (1) 'hard' water, dominated by calcium and magnesium cations and bicarbonate and carbonate anions, to (2) 'soft' water, dominated by sodium and potassium cations and bicarbonate and carbonate anions, and lastly to (3) 'salty' water, dominated by sodium and potassium cations and chloride anions. Chemical weathering of subsurface sediments is followed by ion exchange by clay and glauconite, and subsequently by mixing with seawater along the saltwater-transition zone. The chemical composition of groundwater in the shallower surficial and Yorktown-Eastover aquifers, and in basement bedrock along the Fall Zone, is more variable as a result of short flow paths between closely located recharge and discharge areas and possibly some solutes originating from human sources.\r\n\r\nThe saltwater-transition zone is generally broad and landward-dipping, based on groundwater chloride concentrations that increase eastward and with depth. The configuration is convoluted across the Chesapeake Bay impact crater, however, where it is warped and mounded along zones having vertically inverted chloride concentrations that decrease with depth. Fresh groundwater has flushed seawater from subsurface sediments preferentially around the impact crater as a result of broad contrasts between sediment permeabilities. Paths of differential flushing are also focused along the inverted zones, which follow stratigraphic and structural trends southeastward into North Carolina and northeastward beneath the chloride mound across the outer impact crater. Brine within the inner impact crater has probably remained unflushed. Regional movement of the saltwater-transition zone takes place over geologic time scales. Localized movement has been induced by groundwater withdrawal, mostly along shallow parts of the saltwater-transition zone. Short-term episodic withdrawals result in repeated cycles of upconing and downconing of saltwater, which are superimposed on longer-term lateral saltwater intrusion. Effective monitoring for saltwater intrusion needs to address multiple and complexly distributed areas of potential intrusion that vary over time.\r\n\r\nA broad belt of large groundwater fluoride concentrations underlies the city of Suffolk, and thins and tapers northward. Fluoride in groundwater probably originates by desorbtion from phosphatic sedimentary material. The high fluoride belt possibly was formed by initial adsorbtion of fluoride onto sediment oxyhydroxides, followed by desorbtion along the leading edge of the advancing saltwater-transition zone.\r\n\r\nLarge groundwater iron and manganese concentrations are most common to the west along the Fall Zone, across part of the saltwater-transition zone and eastward, and within shallow groundwater far to the east. Iron and manganese initially produced by mineral dissolution along the Fall Zone are adsorbed eastward and with depth by clay and glauconite, and subsequently desorbed along the leading edge of the advancing saltwater-transition zone. Iron and manganese in shallow groundwater far to the east are produced by reaction of sediment organic matter with oxyhydroxides.\r\n\r\nLarge groundwater nitrate and ammonium concentrations are mostly limited to shallow depths. Most nitrate a","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/pp1772","collaboration":"Prepared in cooperation with the Virginia Department of Environmental Quality and the Hampton Roads Planning District Commission","usgsCitation":"McFarland, R.E., 2010, Groundwater-quality data and regional trends in the Virginia Coastal Plain, 1906-2007: U.S. Geological Survey Professional Paper 1772, vi, 86 p.; 14 Sheets - Plate 1: 30 x 30 inches, Plate 2: 42 x 30 inches, Plate 3: 20 x 30 inches, Plate 4: 28 x 30 inches, Plate 5: 28 x 30 inches, Plate 6: 28 x 30 inches, Plate 7: 28 x 30 inches, Plate 8: 28 x 30 inches, Plate 9: 28 x 30 inches, Plate 10: 28 x 30 inches, Plate 11: 28 x 30 inches, Plate 12: 28 x 30 inches, Plate 13: 28 x 30 inches, Plate 14: 28 x 30 inches, https://doi.org/10.3133/pp1772.","productDescription":"vi, 86 p.; 14 Sheets - Plate 1: 30 x 30 inches, Plate 2: 42 x 30 inches, Plate 3: 20 x 30 inches, Plate 4: 28 x 30 inches, Plate 5: 28 x 30 inches, Plate 6: 28 x 30 inches, Plate 7: 28 x 30 inches, Plate 8: 28 x 30 inches, Plate 9: 28 x 30 inches, Plate 10: 28 x 30 inches, Plate 11: 28 x 30 inches, Plate 12: 28 x 30 inches, Plate 13: 28 x 30 inches, Plate 14: 28 x 30 inches","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1906-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":115914,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1772.jpg"},{"id":14050,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1772/","linkFileType":{"id":5,"text":"html"}}],"scale":"500000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.5,36.5 ], [ -77.5,38.5 ], [ -75.16666666666667,38.5 ], [ -75.16666666666667,36.5 ], [ -77.5,36.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a93e4b07f02db6587f0","contributors":{"authors":[{"text":"McFarland, Randolph E.","contributorId":93879,"corporation":false,"usgs":true,"family":"McFarland","given":"Randolph","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":305999,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98646,"text":"sir20105128 - 2010 - Effects of urbanization, construction activity, management practices, and impoundments on suspended-sediment transport in Johnson County, northeast Kansas, February 2006 through November 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105128","displayToPublicDate":"2010-08-31T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5128","title":"Effects of urbanization, construction activity, management practices, and impoundments on suspended-sediment transport in Johnson County, northeast Kansas, February 2006 through November 2008","docAbstract":"The U.S. Geological Survey, in cooperation with the Johnson County, Kansas, Stormwater Management Program, investigated the effects of urbanization, construction activity, management practices, and impoundments on suspended-sediment transport in Johnson County from February 2006 through November 2008. Streamgages and continuous turbidity sensors were operated at 15 sites within the urbanizing 57-square-mile Mill Creek Basin, and 4 sites downstream from the other largest basins (49 to 66 square miles) in Johnson County.\r\n\r\nThe largest sediment yields in Johnson County were observed downstream from basins with increased construction activity. Sediment yields attributed to the largest (68 acre) active construction site in the study area were 9,300 tons per square mile in 2007 and 12,200 tons per square mile in 2008; 5 to 55 times larger than yields observed at other sampling sites. However, given erodible soils and steep slopes at this site, sediment yields were relatively small compared to the range in historic values from construction sites without erosion and sediment controls in the United States (2,300 to 140,000 tons per square mile). Downstream from this construction site, a sediment forebay and wetland were constructed in series upstream from Shawnee Mission Lake, a 120-acre reservoir within Shawnee Mission Park. Although the original intent of the sediment forebay and constructed wetland were unrelated to upstream construction, they were nonetheless evaluated in 2008 to characterize sediment removal before stream entry into the lake. The sediment forebay was estimated to reduce 33 percent of sediment transported to the lake, whereas the wetland did not appear to decrease downstream sediment transport. Comparisons of time-series data and relations between turbidity and sediment concentration indicate that larger silt-sized particles were deposited within the sediment forebay, whereas smaller silt and clay-sized sediments were transported through the wetland and into the lake. Data collected at sites up and downstream from the constructed wetland indicated that hydraulic retention alone did not substantially reduce sediment loading to Shawnee Mission Lake.\r\n\r\nMean-daily turbidity values at sampling sites downstream from basins with increased construction activity were compared to U.S. Environmental Protection Agency turbidity criteria designed to reduce discharge of pollutants from construction sites. The U.S. Environmental Protection Agency numeric turbidity criteria specifies that effluent from construction sites greater than 20 acres not exceed a mean-daily turbidity value of 280 nephelometric turbidity units beginning in 2011; this criteria will apply to sites greater than 10 acres beginning in 2014. Although numeric criteria would not have been applicable to data from sampling sites in Johnson County because they were not directly downstream from construction sites and because individual states still have to determine additional details as to how this criteria will be enforced, comparisons were made to characterize the potential of construction site effluent in Johnson County to exceed U.S. Environmental Protection Agency Criteria, even under extensive erosion and sediment controls. Numeric criteria were exceeded at sampling sites downstream from basins with increased construction activity for multiple days during the study period, potentially indicating the need for additional erosion and sediment controls and (or) treatment to bring discharges from construction sites into compliance with future numeric turbidity criteria.\r\n\r\nAmong sampling sites in the Mill Creek Basin, sediment yields from the urbanizing Clear Creek Basin were approximately 2 to 3 times those from older, more stable urban or rural basins. Sediments eroded from construction sites adjacent to or surrounding streams appear to be more readily transported downstream, whereas sediments eroded from construction sites in headwater areas are more likely to ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105128","collaboration":"Prepared in cooperation with the Johnson County Stormwater Management Program","usgsCitation":"Lee, C., and Ziegler, A., 2010, Effects of urbanization, construction activity, management practices, and impoundments on suspended-sediment transport in Johnson County, northeast Kansas, February 2006 through November 2008: U.S. Geological Survey Scientific Investigations Report 2010-5128, vii, 54 p., https://doi.org/10.3133/sir20105128.","productDescription":"vii, 54 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2006-02-01","temporalEnd":"2008-11-30","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":115912,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5128.jpg"},{"id":14049,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5128/","linkFileType":{"id":5,"text":"html"}}],"scale":"2000000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.08333333333333,38.733333333333334 ], [ -95.08333333333333,39.083333333333336 ], [ -94.58333333333333,39.083333333333336 ], [ -94.58333333333333,38.733333333333334 ], [ -95.08333333333333,38.733333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60fd72","contributors":{"authors":[{"text":"Lee, Casey J. 0000-0002-5753-2038","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":31062,"corporation":false,"usgs":true,"family":"Lee","given":"Casey J.","affiliations":[],"preferred":false,"id":305998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":305997,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98645,"text":"pp1779 - 2010 - Analogues to features and processes of a high-level radioactive waste repository proposed for Yucca Mountain, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:15:43","indexId":"pp1779","displayToPublicDate":"2010-08-31T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1779","title":"Analogues to features and processes of a high-level radioactive waste repository proposed for Yucca Mountain, Nevada","docAbstract":"Natural analogues are defined for this report as naturally occurring or anthropogenic systems in which processes similar to those expected to occur in a nuclear waste repository are thought to have taken place over time periods of decades to millennia and on spatial scales as much as tens of kilometers. Analogues provide an important temporal and spatial dimension that cannot be tested by laboratory or field-scale experiments. Analogues provide one of the multiple lines of evidence intended to increase confidence in the safe geologic disposal of high-level radioactive waste. Although the work in this report was completed specifically for Yucca Mountain, Nevada, as the proposed geologic repository for high-level radioactive waste under the U.S. Nuclear Waste Policy Act, the applicability of the science, analyses, and interpretations is not limited to a specific site. Natural and anthropogenic analogues have provided and can continue to provide value in understanding features and processes of importance across a wide variety of topics in addressing the challenges of geologic isolation of radioactive waste and also as a contribution to scientific investigations unrelated to waste disposal.\r\n\r\nIsolation of radioactive waste at a mined geologic repository would be through a combination of natural features and engineered barriers. In this report we examine analogues to many of the various components of the Yucca Mountain system, including the preservation of materials in unsaturated environments, flow of water through unsaturated volcanic tuff, seepage into repository drifts, repository drift stability, stability and alteration of waste forms and components of the engineered barrier system, and transport of radionuclides through unsaturated and saturated rock zones. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/pp1779","collaboration":"Prepared in cooperation with the U.S. Department of Energy under Interagency Agreement DE-AI28-07RW12405","usgsCitation":"Simmons, A.M., Stuckless, J.S., and with a Foreword by Abraham Van Luik, U.D., 2010, Analogues to features and processes of a high-level radioactive waste repository proposed for Yucca Mountain, Nevada: U.S. Geological Survey Professional Paper 1779, xiii, 194 p., https://doi.org/10.3133/pp1779.","productDescription":"xiii, 194 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":687,"text":"Yucca Mountain Project Branch","active":false,"usgs":true}],"links":[{"id":14046,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1779/","linkFileType":{"id":5,"text":"html"}},{"id":115913,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1779.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db68381b","contributors":{"authors":[{"text":"Simmons, Ardyth M.","contributorId":94412,"corporation":false,"usgs":true,"family":"Simmons","given":"Ardyth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":305996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stuckless, John S. 0000-0002-7536-0444 jstuckless@usgs.gov","orcid":"https://orcid.org/0000-0002-7536-0444","contributorId":4974,"corporation":false,"usgs":true,"family":"Stuckless","given":"John","email":"jstuckless@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":305994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"with a Foreword by Abraham Van Luik, U.S. Department of Energy","contributorId":81605,"corporation":false,"usgs":true,"family":"with a Foreword by Abraham Van Luik","given":"U.S.","email":"","middleInitial":"Department of Energy","affiliations":[],"preferred":false,"id":305995,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98648,"text":"sir20105074 - 2010 - Water quality and ecological condition of urban streams in Independence, Missouri, June 2005 through December 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105074","displayToPublicDate":"2010-08-31T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5074","title":"Water quality and ecological condition of urban streams in Independence, Missouri, June 2005 through December 2008","docAbstract":"To identify the sources of selected constituents in urban streams and better understand processes affecting water quality and their effects on the ecological condition of urban streams and the Little Blue River in Independence, Missouri the U.S. Geological Survey in cooperation with the City of Independence Water Pollution Control Department initiated a study in June 2005 to characterize water quality and evaluate the ecological condition of streams within Independence. Base-flow and stormflow samples collected from five sites within Independence, from June 2005 to December 2008, were used to characterize the physical, chemical, and biologic effects of storm runoff on the water quality in Independence streams and the Little Blue River. The streams draining Independence-Rock Creek, Sugar Creek, Mill Creek, Fire Prairie Creek, and the Little Blue River-drain to the north and the Missouri River. Two small predominantly urban streams, Crackerneck Creek [12.9-square kilometer (km2) basin] and Spring Branch Creek (25.4-km2 basin), were monitored that enter into the Little Blue River between upstream and downstream monitoring sites. The Little Blue River above the upstream site is regulated by several reservoirs, but streamflow is largely uncontrolled. The Little Blue River Basin encompasses 585 km2 with about 168 km2 or 29 percent of the basin lying within the city limits of Independence. Water-quality samples also were collected for Rock Creek (24.1-km2 basin) that drains the western part of Independence.\r\n\r\nData collection included streamflow, physical properties, dissolved oxygen, chloride, metals, nutrients, common organic micro-constituents, and fecal indicator bacteria. Benthic macroinvertebrate community surveys and habitat assessments were conducted to establish a baseline for evaluating the ecological condition and health of streams within Independence. Additional dry-weather screenings during base flow of all streams draining Independence were conducted to identify point-source discharges and other sources of potential contamination. Regression models were used to estimate continuous and annual flow-weighted concentrations, loadings, and yields for chloride, total nitrogen, total phosphorus, suspended sediment, and Escherichia coli bacteria densities.\r\n\r\nBase-flow and stormflow water-quality samples were collected at five sites within Independence. Base-flow samples for Rock Creek and two tributary streams to the Little Blue River exceeded recommended U.S. Environmental Protection Agency standards for the protection of aquatic life for total nitrogen and total phosphorus in about 90 percent of samples, whereas samples collected at two Little Blue River sites exceeded both the total nitrogen and total phosphorus standards less often, about 30 percent of the time. Dry-weather screening identified a relatively small number (14.0 percent of all analyses) of potential point-source discharges for total chlorine, phenols, and anionic surfactants.\r\n\r\nStormflow had larger median measured concentrations of total common organic micro-constituents than base flow. The four categories of common organic micro-constituents with the most total detections in stormflow were pesticides (100 percent), polyaromatic hydrocarbons and combustion by-products (99 percent), plastics (93 percent), and stimulants (91 percent). Most detections of common organic micro-constituents were less than 2 micrograms per liter. Median instantaneous Escherichia coli densities for stormflow samples showed a 21 percent increase measured at the downstream site on the Little Blue River from the sampled upstream site. Using microbial source-tracking methods, less than 30 percent of Escherichia coli bacteria in samples were identified as having human sources.\r\n\r\nBase-flow and stormflow data were used to develop regression equations with streamflow and continuous water-quality data to estimate daily concentrations, loads, and yields of various water-quality contaminants.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105074","collaboration":"Prepared in cooperation with the City of Independence, Missouri, Water Pollution Control Department","usgsCitation":"Christensen, D., Harris, T.E., and Niesen, S.L., 2010, Water quality and ecological condition of urban streams in Independence, Missouri, June 2005 through December 2008: U.S. Geological Survey Scientific Investigations Report 2010-5074, xi, 115 p., https://doi.org/10.3133/sir20105074.","productDescription":"xi, 115 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2005-06-01","temporalEnd":"2008-12-31","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":126373,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5074.jpg"},{"id":14051,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5074/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.6,38.75 ], [ -94.6,39.166666666666664 ], [ -94.16666666666667,39.166666666666664 ], [ -94.16666666666667,38.75 ], [ -94.6,38.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c4ef","contributors":{"authors":[{"text":"Christensen, D.","contributorId":82423,"corporation":false,"usgs":true,"family":"Christensen","given":"D.","email":"","affiliations":[],"preferred":false,"id":306002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Thomas E. tharris@usgs.gov","contributorId":3882,"corporation":false,"usgs":true,"family":"Harris","given":"Thomas","email":"tharris@usgs.gov","middleInitial":"E.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niesen, Shelley L. ssevern@usgs.gov","contributorId":4583,"corporation":false,"usgs":true,"family":"Niesen","given":"Shelley","email":"ssevern@usgs.gov","middleInitial":"L.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306001,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98630,"text":"ofr20101111 - 2010 - High-resolution seismic-reflection data offshore of Dana Point, southern California borderland","interactions":[],"lastModifiedDate":"2012-02-02T00:15:43","indexId":"ofr20101111","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1111","title":"High-resolution seismic-reflection data offshore of Dana Point, southern California borderland","docAbstract":"The U.S. Geological Survey collected high-resolution shallow seismic-reflection profiles in September 2006 in the offshore area between Dana Point and San Mateo Point in southern Orange and northern San Diego Counties, California. Reflection profiles were located to image folds and reverse faults associated with the San Mateo fault zone and high-angle strike-slip faults near the shelf break (the Newport-Inglewood fault zone) and at the base of the slope. Interpretations of these data were used to update the USGS Quaternary fault database and in shaking hazard models for the State of California developed by the Working Group for California Earthquake Probabilities. This cruise was funded by the U.S. Geological Survey Coastal and Marine Catastrophic Hazards project. \r\n\r\nSeismic-reflection data were acquired aboard the R/V Sea Explorer, which is operated by the Ocean Institute at Dana Point. A SIG ELC820 minisparker seismic source and a SIG single-channel streamer were used. More than 420 km of seismic-reflection data were collected. \r\n\r\nThis report includes maps of the seismic-survey sections, linked to Google Earth? software, and digital data files showing images of each transect in SEG-Y, JPEG, and TIFF formats. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101111","usgsCitation":"Sliter, R.W., Ryan, H., and Triezenberg, P., 2010, High-resolution seismic-reflection data offshore of Dana Point, southern California borderland: U.S. Geological Survey Open-File Report 2010-1111, HTML Document, https://doi.org/10.3133/ofr20101111.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":199656,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14031,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1111/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f5e0","contributors":{"authors":[{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryan, Holly F.","contributorId":67616,"corporation":false,"usgs":true,"family":"Ryan","given":"Holly F.","affiliations":[],"preferred":false,"id":305967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Triezenberg, Peter J.","contributorId":32625,"corporation":false,"usgs":true,"family":"Triezenberg","given":"Peter J.","affiliations":[],"preferred":false,"id":305966,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98632,"text":"dds69BB - 2010 - Oil shale resources of the Uinta Basin, Utah and Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"dds69BB","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69","chapter":"BB","title":"Oil shale resources of the Uinta Basin, Utah and Colorado","docAbstract":"The U.S. Geological Survey (USGS) recently completed a comprehensive assessment of in-place oil in oil shales of the Eocene Green River Formation of the Uinta Basin of eastern Utah and western Colorado. The oil shale interval was subdivided into eighteen roughly time-stratigraphic intervals, and each interval\r\nwas assessed for variations in gallons per ton, barrels per acre, and total barrels in each township. The Radial Basis Function extrapolation method was used to generate isopach and isoresource maps, and to calculate resources. The total inplace resource for the Uinta Basin is estimated at 1.32 trillion barrels. This is only slightly lower than the estimated 1.53 trillion barrels for the adjacent Piceance Basin, Colorado, to the east, which is thought to be the richest oil shale deposit in the world. However, the area underlain by oil shale in the Uinta Basin is much larger than that of the Piceance Basin, and the average gallons per ton and barrels per acre values for each of the assessed oil shale zones are significantly lower in the depocenter in the Uinta Basin when compared to the Piceance Basin. These relations indicate that the oil shale resources in the Uinta Basin are of lower grade and are more dispersed than the oil shale resources of the Piceance Basin.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/dds69BB","collaboration":"National Assessment of Oil and Gas Project","usgsCitation":"U.S. Geological Survey Oil Shale Assessment Team, 2010, Oil shale resources of the Uinta Basin, Utah and Colorado: U.S. Geological Survey Data Series 69, CD-ROM: ReadMeFile; 7 Chapters; Spatial Data , https://doi.org/10.3133/dds69BB.","productDescription":"CD-ROM: ReadMeFile; 7 Chapters; Spatial Data ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":199735,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14033,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-bb/ ","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112,38 ], [ -112,41 ], [ -106,41 ], [ -106,38 ], [ -112,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbf0c","contributors":{"authors":[{"text":"U.S. Geological Survey Oil Shale Assessment Team","contributorId":128035,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Oil Shale Assessment Team","id":535038,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98629,"text":"ofr20101140 - 2010 - Biostratigraphy of the San Joaquin Formation in borrow-source area B-17, Kettleman Hills landfill, North Dome, Kettleman Hills, Kings County, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"ofr20101140","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1140","title":"Biostratigraphy of the San Joaquin Formation in borrow-source area B-17, Kettleman Hills landfill, North Dome, Kettleman Hills, Kings County, California","docAbstract":"The stratigraphic occurrences and interpreted biostratigraphy of invertebrate fossil taxa in the upper San Joaquin Formation and lower-most Tulare Formation encountered at the Chemical Waste Management Kettleman Hills waste disposal facility on the North Dome of the Kettleman Hills, Kings County, California are documented. Significant new findings include (1) a detailed biostratigraphy of the upper San Joaquin Formation; (2) the first fossil occurrence of Modiolus neglectus; (3) distinguishing Ostrea sequens from Myrakeena veatchii (Ostrea vespertina of authors) in the Central Valley of California; (4) differentiating two taxa previously attributed to Pteropurpura festivus; (5) finding a stratigraphic succession between Caesia coalingensis (lower in the section) and Catilon iniquus (higher in the section); and (6) recognizing Pliocene-age fossils from around Santa Barbara. In addition, the presence of the bivalves Anodonta and Gonidea in the San Joaquin Formation, both restricted to fresh water and common in the Tulare Formation, confirm periods of fresh water or very close fresh-water environments during deposition of the San Joaquin Formation. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101140","usgsCitation":"Powell, C.L., Fisk, L.H., Maloney, D.F., and Haasl, D.M., 2010, Biostratigraphy of the San Joaquin Formation in borrow-source area B-17, Kettleman Hills landfill, North Dome, Kettleman Hills, Kings County, California: U.S. Geological Survey Open-File Report 2010-1140, iii, 29 p.; Figure 2 PDF, https://doi.org/10.3133/ofr20101140.","productDescription":"iii, 29 p.; Figure 2 PDF","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":115989,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1140.jpg"},{"id":14030,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1140/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.1,35.9 ], [ -120.1,36 ], [ -120,36 ], [ -120,35.9 ], [ -120.1,35.9 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a30e4b07f02db616903","contributors":{"authors":[{"text":"Powell, Charles L. II 0000-0002-1913-555X cpowell@usgs.gov","orcid":"https://orcid.org/0000-0002-1913-555X","contributorId":3243,"corporation":false,"usgs":true,"family":"Powell","given":"Charles","suffix":"II","email":"cpowell@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":305961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisk, Lanny H.","contributorId":90013,"corporation":false,"usgs":true,"family":"Fisk","given":"Lanny","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":305963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maloney, David F.","contributorId":92391,"corporation":false,"usgs":true,"family":"Maloney","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":305964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haasl, David M.","contributorId":37448,"corporation":false,"usgs":true,"family":"Haasl","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":305962,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98631,"text":"sir20105113 - 2010 - Fluorine, fluorite, and fluorspar in central Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"sir20105113","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5113","title":"Fluorine, fluorite, and fluorspar in central Colorado","docAbstract":"Fluorine (F) is a widespread element that was deposited in a variety of rocks, minerals, and geologic environments in central Colorado. It occurs as a trace element, as a major component of the mineral fluorite (CaFs), and as a major economic source of fluorine in fluorspar deposits, which are massive concentrations of fluorite. This study has compiled available geochemical analyses of rocks, both unmineralized and mineralized, to determine the distribution of fluorine in specific age-lithologic categories, ranging from 1.8-giga-annum (Ga) metamorphic rocks to modern soils, throughout central Colorado. It also draws upon field studies of fluorine-rich mineral deposits, including fluorspar deposits, to decipher the nearly two-billion-year-long geologic history of fluorine in the study area, with implications for mineral-resource evaluations and exploration. The resulting compilation provides an important inventory of the naturally occurring levels and sources of fluorine that ultimately weather, erode, and become part of surface waters that are used for domestic water supplies in densely populated areas along the Colorado Front Range.\r\n\r\nMost commonly, fluorine is a trace element in virtually all rocks in the region. In the 3,798 unmineralized rocks that were analyzed for fluorine in the study area, the average fluorine content was 1,550 parts per million (ppm). The median was 640 ppm, nearly identical to the average crustal abundance of 650 ppm, and some high-fluorine rocks in the Pikes Peak area skewed the average to a value much greater than the median. Most unmineralized age-lithologic rock suites, including Proterozoic metamorphic rocks, 1.7- and 1.4-Ga granitic batholiths, Cambrian igneous rocks, Phanerozoic sedimentary rocks, and Laramide and Tertiary igneous rocks, had median fluorine values of 400 to 740 ppm fluorine. In all suites, however, a small number of analyzed samples contained more than 1 percent (10,000 ppm) fluorine. The 1.1-Ga plutonic rocks related to the Pikes Peak batholith had a mean fluorine content of 1,700 ppm, and primary magmatic fluorite and fluorite-bearing pegmatites are common throughout that igneous mass.\r\n\r\nFluorine was deposited in many types of economic mineral deposits in central Colorado, and it currently is a significant trace element in some thermal springs. In the fluorspar deposits, fluorine contents were as high as 37 percent. Some fluorine-rich porphyry systems, such as Jamestown, had fluorine values that ranged from 200 ppm to nearly 37 percent fluorine, and veins in other deposits contained hydrothermal fluorite, although it was not ubiquitous. For the 495 samples from non-fluorspar mining districts (and excluding Jamestown), however, the median fluorine content was 990 ppm. This is above the crustal average but still relatively modest compared to the fluorspar deposits, and it indicates that the majority of the mineralizing systems in central Colorado did not deposit large amounts of fluorine. Nevertheless, the fluorine- and fluorite-rich mineral deposits could be used as guides for the evaluation and discovery of related but concealed porphyry and epithermal base- and precious-metal deposits.\r\n\r\nThe Cenozoic geologic history of central Colorado included multiple periods during which fluorine-bearing rocks and mineral deposits were exposed, weathered, and eroded. This protracted history has released fluorine into soils and regoliths, and modern rainfall and snowmelt interact with these substrates to add fluorine to the hydrosphere. This study did not evaluate the fluorine contents of water or make any predictions about what areas might be major sources for dissolved fluorine. However, the abundant data that are available on fluorine in surface water and ground water can be coupled with the results of this study to provide additional insight into natural sources of fluorine in domestic drinking water.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105113","usgsCitation":"Wallace, A.R., 2010, Fluorine, fluorite, and fluorspar in central Colorado: U.S. Geological Survey Scientific Investigations Report 2010-5113, CD-ROM: v, 61 p.; Appendix (XLS) , https://doi.org/10.3133/sir20105113.","productDescription":"CD-ROM: v, 61 p.; Appendix (XLS) ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":115991,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5113.jpg"},{"id":14032,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5113/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108,37 ], [ -108,41 ], [ -104,41 ], [ -104,37 ], [ -108,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de640","contributors":{"authors":[{"text":"Wallace, Alan R.","contributorId":6024,"corporation":false,"usgs":true,"family":"Wallace","given":"Alan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":305968,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70179317,"text":"70179317 - 2010 - Adaptation and survival of plants in high stress habitats via fungal endophyte conferred stress tolerance","interactions":[],"lastModifiedDate":"2018-01-19T16:11:00","indexId":"70179317","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Adaptation and survival of plants in high stress habitats via fungal endophyte conferred stress tolerance","docAbstract":"From the Arctic to the Antarctic, plants thrive in diverse habitats that impose different levels of adaptive pressures depending on the type and degree of biotic and abiotic stresses inherent to each habitat (Stevens, 1989). At any particular location, the abundance and distribution of individual plant species vary tremendously and is theorized to be based on the ability to tolerate a wide range of edaphic conditions and habitat-specific stresses (Pianka, 1966). The ability of individual plant species to thrive in diverse habitats is commonly referred to as phenotypic plasticity and is thought to involve adaptations based on changes in the plant genome (Givnish, 2002; Pan et al., 2006; Robe and Griffiths, 2000; Schurr et al., 2006). Habitats that impose high levels of abiotic stress are typically colonized with fewer plant species compared to habitats imposing low levels of stress. Moreover, high stress habitats have decreased levels of plant abundance compared to low stress habitats even though these habitats may occur in close proximity to one another (Perelman et al., 2007). This is particularly interesting because all plants are known to perceive, transmit signals, and respond to abiotic stresses such as drought, heat, and salinity (Bartels and Sunkar, 2005; Bohnert et al., 1995). Although there has been extensive research performed to determine the genetic, molecular, and physiological bases of how plants respond to and tolerate stress, the nature of plant adaptation to high stress habitats remains unresolved (Leone et al., 2003; Maggio et al., 2003; Tuberosa et al., 2003). However, recent evidence indicates that a ubiquitous aspect of plant biology (fungal symbiosis) is involved in the adaptation and survival of at least some plants in high stress habitats (Rodriguez et al., 2008).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symbioses and Stress","language":"English","publisher":"Springer Netherlands","doi":"10.1007/978-90-481-9449-0_23","usgsCitation":"Rodriguez, R.J., Woodward, C., and Redman, R.S., 2010, Adaptation and survival of plants in high stress habitats via fungal endophyte conferred stress tolerance, chap. of Symbioses and Stress, p. 461-476, https://doi.org/10.1007/978-90-481-9449-0_23.","productDescription":"16 p. ","startPage":"461","endPage":"476","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2010-08-28","publicationStatus":"PW","scienceBaseUri":"5864dd50e4b0cd2dabe7c1d1","contributors":{"authors":[{"text":"Rodriguez, Rusty J.","contributorId":62497,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Rusty","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":656738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodward, Claire","contributorId":152045,"corporation":false,"usgs":false,"family":"Woodward","given":"Claire","affiliations":[],"preferred":false,"id":656739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Redman, Regina S. 0000-0001-5108-7570","orcid":"https://orcid.org/0000-0001-5108-7570","contributorId":75829,"corporation":false,"usgs":true,"family":"Redman","given":"Regina","email":"","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":656740,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98641,"text":"sim3118 - 2010 - Sedimentation Survey of Lago de Cidra, Puerto Rico, August 2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sim3118","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3118","title":"Sedimentation Survey of Lago de Cidra, Puerto Rico, August 2007","docAbstract":"Lago de Cidra is a reservoir located on the confluence of Rio de Bayamon, Rio Sabana, and Quebrada Prieta, in the municipality of Cidra in east-central Puerto Rico, about 3.0 kilometers northeast of the town of Cidra. The dam is owned and operated by the Puerto Rico Aqueduct and Sewer Authority (PRASA), and was constructed in 1946 as a 6.54-million-cubic-meter supplemental water supply for the San Juan metropolitan area.\r\nThe reservoir impounds the waters of Rio de Bayamon, Rio Sabana and Quebrada Prieta. The reservoir has a drainage area of 21.4 square kilometers. The dam is a concrete gravity and earthfill structure with a length of approximately 165 meters and a structural height of 24 meters. The spillway portion of the dam is an ungated ogee crest about 40 meters long with a crest elevation of 403.00 meters above mean sea level. Additional information and operational procedures are listed in Soler-Lopez (1999). During August 14-15, 2007, the U.S. Geological Survey (USGS), Caribbean Water Science Center (CWSC), in cooperation with the PRASA, conducted a bathymetric survey of Lago de Cidra to update the reservoir storage capacity and actualize the reservoir sedimentation rate by comparing the 2007 data with the previous 1997 bathymetric survey data. The purpose of this report is to describe and document the USGS sedimentation survey conducted at Lago de Cidra during August 2007, including the methods used to update the reservoir storage capacity, sedimentation rates, and areas of substantial sediment accumulation since 1997. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3118","usgsCitation":"Soler-Lopez, L.R., 2010, Sedimentation Survey of Lago de Cidra, Puerto Rico, August 2007: U.S. Geological Survey Scientific Investigations Map 3118, 1 Plate, https://doi.org/10.3133/sim3118.","productDescription":"1 Plate","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-08-14","temporalEnd":"2007-08-15","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":115998,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3118.jpg"},{"id":14042,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3118/","linkFileType":{"id":5,"text":"html"}}],"projection":"Lambert Conic Conformal","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -66.15,18.1675 ], [ -66.15,18.2 ], [ -66.11749999999999,18.2 ], [ -66.11749999999999,18.1675 ], [ -66.15,18.1675 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbcca","contributors":{"authors":[{"text":"Soler-Lopez, Luis R.","contributorId":27501,"corporation":false,"usgs":true,"family":"Soler-Lopez","given":"Luis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":305986,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98642,"text":"sir20105046 - 2010 - Relations between groundwater levels and anthropogenic and meteorological stressors at selected sites in east-central Florida, 1995-2007","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"sir20105046","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5046","title":"Relations between groundwater levels and anthropogenic and meteorological stressors at selected sites in east-central Florida, 1995-2007","docAbstract":"Multivariate linear regression analyses were used to define the relations of water levels in the Upper Floridan aquifer (UFA) and surficial aquifer system (SAS) to anthropogenic and meteorological stressors between 1995 and 2007 at two monitoring well sites (Charlotte Street and Lake Oliver) in east-central Florida. Anthropogenic stressors of interest included municipal and agricultural groundwater withdrawals, and application of reclaimed-water to rapid-infiltration basins (source of aquifer recharge). Meteorological stressors included precipitation and potential evapotranspiration. Overall, anthropogenic and meteorological stressors accounted for about 40 to 89 percent of the variance in UFA and SAS groundwater levels and water-level changes. While mean monthly water levels were better correlated with monthly stressor values, changes in UFA and SAS water levels were better correlated with changes in stressor values. Water levels and water-level changes were influenced by system persistence as the moving-averaged values of both stressor types, which accounted for the influence of the previous month(s) conditions, consistently yielded higher adjusted coefficients of determination (R2 adj) values than did single monthly values. \r\n\r\nWhile monthly water-level changes tend to be influenced equally with both stressors across the hydrologically averaged 13-year period, changes were more influenced by one stressor or the other seasonally and during extended wet and dry periods. Seasonally, UFA water-level changes tended to be more influenced by anthropogenic stressors than by meteorological stressors, while changes in SAS water levels tended to be more influenced by meteorological stressors. During extended dry periods (12 months or greater), changes in UFA water levels at Charlotte Street were more affected by anthropogenic stressors than by meteorological stressors, while changes in SAS levels were more affected by meteorological stressors. At Lake Oliver, changes in both UFA and SAS water levels were better correlated with meteorological stressors for all but the wet period between April 1995 and April 1996. Interestingly, changes in both UFA and SAS water levels at Charlotte Street were also better correlated with anthropogenic stressors during a similar wet period between April 1995 and June 1996 when substantive reductions in groundwater withdrawals resulted in appreciable recovery of both UFA and SAS water levels.\r\n\r\nThe regional effects of anthropogenic stressors had limited influence on water-level changes at Charlotte Street and virtually no influence on changes at Lake Oliver. When regressed against the 2.2 Mgal/d (million gallons per day) of municipal withdrawals located within 2 miles of the Charlotte Street site, water-level changes were influenced solely by precipitation and potential evapotranspiration. At a radius of 2.5 miles, however, where cumulative withdrawals totaled about 9.5 Mgal/d, water-level changes were equally influenced by both anthropogenic and meteorological stressors. Withdrawals located at distances of greater than 3 miles from this site had no appreciable effect on relations between water-level changes and these stressors. At Lake Oliver, changes in UFA water levels were equally influenced by both stressors regardless of distance, while changes in SAS levels were more influenced by meteorological stressors at all distances.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105046","collaboration":"Prepared in cooperation with the St. Johns River Water Management District","usgsCitation":"Murray, L.C., 2010, Relations between groundwater levels and anthropogenic and meteorological stressors at selected sites in east-central Florida, 1995-2007: U.S. Geological Survey Scientific Investigations Report 2010-5046, vii, 31 p. , https://doi.org/10.3133/sir20105046.","productDescription":"vii, 31 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1995-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":14043,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5046/","linkFileType":{"id":5,"text":"html"}},{"id":115999,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5046.jpg"}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.16666666666667,27.5 ], [ -82.16666666666667,29 ], [ -80.83333333333333,29 ], [ -80.83333333333333,27.5 ], [ -82.16666666666667,27.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db6119aa","contributors":{"authors":[{"text":"Murray, Louis C. Jr.","contributorId":19980,"corporation":false,"usgs":true,"family":"Murray","given":"Louis","suffix":"Jr.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":305987,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98644,"text":"sir20105123 - 2010 - Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, Idaho National Laboratory and vicinity, Idaho","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105123","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5123","title":"Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, Idaho National Laboratory and vicinity, Idaho","docAbstract":"Three-dimensional steady-state and transient models of groundwater flow and advective transport in the eastern Snake River Plain aquifer were developed by the U.S. Geological Survey in cooperation with the U.S. Department of Energy. The steady-state and transient flow models cover an area of 1,940 square miles that includes most of the 890 square miles of the Idaho National Laboratory (INL). A 50-year history of waste disposal at the INL has resulted in measurable concentrations of waste contaminants in the eastern Snake River Plain aquifer. Model results can be used in numerical simulations to evaluate the movement of contaminants in the aquifer.\r\n\r\nSaturated flow in the eastern Snake River Plain aquifer was simulated using the MODFLOW-2000 groundwater flow model. Steady-state flow was simulated to represent conditions in 1980 with average streamflow infiltration from 1966-80 for the Big Lost River, the major variable inflow to the system. The transient flow model simulates groundwater flow between 1980 and 1995, a period that included a 5-year wet cycle (1982-86) followed by an 8-year dry cycle (1987-94). Specified flows into or out of the active model grid define the conditions on all boundaries except the southwest (outflow) boundary, which is simulated with head-dependent flow. In the transient flow model, streamflow infiltration was the major stress, and was variable in time and location. The models were calibrated by adjusting aquifer hydraulic properties to match simulated and observed heads or head differences using the parameter-estimation program incorporated in MODFLOW-2000. Various summary, regression, and inferential statistics, in addition to comparisons of model properties and simulated head to measured properties and head, were used to evaluate the model calibration. \r\n\r\nModel parameters estimated for the steady-state calibration included hydraulic conductivity for seven of nine hydrogeologic zones and a global value of vertical anisotropy. Parameters estimated for the transient calibration included specific yield for five of the seven hydrogeologic zones. The zones represent five rock units and parts of four rock units with abundant interbedded sediment. All estimates of hydraulic conductivity were nearly within 2 orders of magnitude of the maximum expected value in a range that exceeds 6 orders of magnitude. The estimate of vertical anisotropy was larger than the maximum expected value. All estimates of specific yield and their confidence intervals were within the ranges of values expected for aquifers, the range of values for porosity of basalt, and other estimates of specific yield for basalt. \r\n\r\nThe steady-state model reasonably simulated the observed water-table altitude, orientation, and gradients. Simulation of transient flow conditions accurately reproduced observed changes in the flow system resulting from episodic infiltration from the Big Lost River and facilitated understanding and visualization of the relative importance of historical differences in infiltration in time and space. As described in a conceptual model, the numerical model simulations demonstrate flow that is (1) dominantly horizontal through interflow zones in basalt and vertical anisotropy resulting from contrasts in hydraulic conductivity of various types of basalt and the interbedded sediments, (2) temporally variable due to streamflow infiltration from the Big Lost River, and (3) moving downward downgradient of the INL.\r\n\r\nThe numerical models were reparameterized, recalibrated, and analyzed to evaluate alternative conceptualizations or implementations of the conceptual model. The analysis of the reparameterized models revealed that little improvement in the model could come from alternative descriptions of sediment content, simulated aquifer thickness, streamflow infiltration, and vertical head distribution on the downgradient boundary. Of the alternative estimates of flow to or from the aquifer, only a 20 percent decrease in ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105123","collaboration":"Prepared in cooperation with the U.S. Department of Energy DOE/ID-22209","usgsCitation":"Ackerman, D.J., Rousseau, J.P., Rattray, G.W., and Fisher, J.C., 2010, Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, Idaho National Laboratory and vicinity, Idaho: U.S. Geological Survey Scientific Investigations Report 2010-5123, xii, 220 p. , https://doi.org/10.3133/sir20105123.","productDescription":"xii, 220 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":116000,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5123.jpg"},{"id":14045,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5123/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal-Area Conic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,43 ], [ -114,44.333333333333336 ], [ -112,44.333333333333336 ], [ -112,43 ], [ -114,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b46c9","contributors":{"authors":[{"text":"Ackerman, Daniel J.","contributorId":9286,"corporation":false,"usgs":true,"family":"Ackerman","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":305992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rousseau, Joseph P.","contributorId":22030,"corporation":false,"usgs":true,"family":"Rousseau","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":305993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Jason C. 0000-0001-9032-8912 jfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-9032-8912","contributorId":2523,"corporation":false,"usgs":true,"family":"Fisher","given":"Jason","email":"jfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305991,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98634,"text":"ds509 - 2010 - Central Colorado Assessment Project (CCAP)-Geochemical data for rock, sediment, soil, and concentrate sample media","interactions":[],"lastModifiedDate":"2022-09-01T20:49:44.427273","indexId":"ds509","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"509","title":"Central Colorado Assessment Project (CCAP)-Geochemical data for rock, sediment, soil, and concentrate sample media","docAbstract":"This database was initiated, designed, and populated to collect and integrate geochemical data from central Colorado in order to facilitate geologic mapping, petrologic studies, mineral resource assessment, definition of geochemical baseline values and statistics, environmental impact assessment, and medical geology. The Microsoft Access database serves as a geochemical data warehouse in support of the Central Colorado Assessment Project (CCAP) and contains data tables describing historical and new quantitative and qualitative geochemical analyses determined by 70 analytical laboratory and field methods for 47,478 rock, sediment, soil, and heavy-mineral concentrate samples. Most samples were collected by U.S. Geological Survey (USGS) personnel and analyzed either in the analytical laboratories of the USGS or by contract with commercial analytical laboratories. These data represent analyses of samples collected as part of various USGS programs and projects. In addition, geochemical data from 7,470 sediment and soil samples collected and analyzed under the Atomic Energy Commission National Uranium Resource Evaluation (NURE) Hydrogeochemical and Stream Sediment Reconnaissance (HSSR) program (henceforth called NURE) have been included in this database. In addition to data from 2,377 samples collected and analyzed under CCAP, this dataset includes archived geochemical data originally entered into the in-house Rock Analysis Storage System (RASS) database (used by the USGS from the mid-1960s through the late 1980s) and the in-house PLUTO database (used by the USGS from the mid-1970s through the mid-1990s). All of these data are maintained in the Oracle-based National Geochemical Database (NGDB). Retrievals from the NGDB and from the NURE database were used to generate most of this dataset. In addition, USGS data that have been excluded previously from the NGDB because the data predate earliest USGS geochemical databases, or were once excluded for programmatic reasons, have been included in the CCAP Geochemical Database and are planned to be added to the NGDB.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds509","usgsCitation":"Granitto, M., DeWitt, E.H., and Klein, T.L., 2010, Central Colorado Assessment Project (CCAP)-Geochemical data for rock, sediment, soil, and concentrate sample media: U.S. Geological Survey Data Series 509, iii, 29 p., https://doi.org/10.3133/ds509.","productDescription":"iii, 29 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":115992,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_509.jpg"},{"id":406097,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93927.htm","linkFileType":{"id":5,"text":"html"}},{"id":14035,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/509/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.6,\n 37\n ],\n [\n -104.8964,\n 37\n ],\n [\n -104.8964,\n 41\n ],\n [\n -106.6,\n 41\n ],\n [\n -106.6,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e571a","contributors":{"authors":[{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":305971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeWitt, Ed H.","contributorId":16543,"corporation":false,"usgs":true,"family":"DeWitt","given":"Ed","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":305973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klein, Terry L. tklein@usgs.gov","contributorId":1244,"corporation":false,"usgs":true,"family":"Klein","given":"Terry","email":"tklein@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305972,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}