{"pageNumber":"784","pageRowStart":"19575","pageSize":"25","recordCount":68924,"records":[{"id":98513,"text":"sir20105087 - 2010 - Groundwater-quality monitoring program in Chester County, Pennsylvania, 1980-2008","interactions":[],"lastModifiedDate":"2017-06-12T13:50:40","indexId":"sir20105087","displayToPublicDate":"2010-07-15T00:00:00","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":"2010-5087","title":"Groundwater-quality monitoring program in Chester County, Pennsylvania, 1980-2008","docAbstract":"The U.S. Geological Survey in cooperation with the Chester County Water Resources Authority and the Chester County Health Department began a groundwater-quality monitoring program in 1980 in Chester County, Pa., where a large percentage of the population relies on wells for drinking-water supply. This report documents the program and serves as a reference for data collected through the program from 1980 through 2008.\r\n\r\nThe initial focus of the program was to collect data on groundwater quality near suspected localized sources of contamination, such as uncontrolled landfills and suspected industrial wastes, to determine if contaminants were present that might pose a health risk to those using the groundwater. Subsequently, the program was expanded to address the effects of widely distributed contaminant sources associated with agricultural and residential land uses on groundwater quality and to document naturally occurring constituents, such as radium, radon, and arsenic, that are potential hazards in drinking water. Since 2000, base-flow stream samples have been collected in addition to well-water and spring samples in a few small drainage areas to investigate the relation between groundwater quality measured in well samples and streams. The program has primarily consisted of spatial assessment with limited temporal data collected on groundwater quality. Most data were collected through the monitoring program for reconnaissance purposes to identify and locate groundwater-quality problems and generally were not intended for rigorous statistical analyses that might determine land-use or geochemical factors affecting groundwater quality in space or through time.\r\n\r\nResults of the program found several contaminants associated with various land uses and human activities in groundwater in Chester County. Volatile organic compounds (such as trichloroethylene) were measured in groundwater near suspected localized contaminant sources in concentrations that exceeded drinking-water standards. Groundwater in some agricultural areas had concentrations of nitrate and some pesticides that exceeded drinking-water standards. Elevated concentrations of chloride were measured near salt storage areas and highways. Formaldehyde was detected in groundwater near cemeteries. In residential areas with on-site wastewater disposal, effects on groundwater quality included elevated nitrate concentrations and low concentrations of volatile organic compounds and wastewater compounds, such as antibiotics and detergents. Base-flow samples indicated that groundwater discharge to streams carried contaminants such as nitrate, pesticides, wastewater compounds, and other contaminants.\r\n\r\nRadionuclides, including radium-226, radium-228, radium-224, and radon-222, and gross alpha-particle activity were measured in groundwater at levels above established and proposed drinking-water standards in some geologic units, particularly in quartzite and quartzite schists. Arsenic concentrations above drinking-water standards were measured in a few samples and were most likely to occur in groundwater in the shales and sandstones in the northern part of the county. Other potential natural hazards, such as lead from aquifer materials or leached from plumbing because of pH, were present in concentrations above drinking-water standards infrequently (less than 10 percent of samples).\r\n\r\nLimited temporal sampling suggested that chloride concentrations in groundwater increased in the county since the program began in 1980 through 2008, reflecting increasing population and urbanization in that period.\r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105087","collaboration":"Prepared in cooperation with the Chester County Water Resources Authority and the Chester County Health Department","usgsCitation":"Senior, L.A., and Sloto, R.A., 2010, Groundwater-quality monitoring program in Chester County, Pennsylvania, 1980-2008: U.S. Geological Survey Scientific Investigations Report 2010-5087, viii, 43 p.; Appendices, https://doi.org/10.3133/sir20105087.","productDescription":"viii, 43 p.; Appendices","additionalOnlineFiles":"N","temporalStart":"1980-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":125842,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5087.jpg"},{"id":13903,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5087/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.16666666666667,39.666666666666664 ], [ -76.16666666666667,40.25 ], [ -75.33333333333333,40.25 ], [ -75.33333333333333,39.666666666666664 ], [ -76.16666666666667,39.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a90e4b07f02db655ea1","contributors":{"authors":[{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sloto, Ronald A. rasloto@usgs.gov","contributorId":424,"corporation":false,"usgs":true,"family":"Sloto","given":"Ronald","email":"rasloto@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305595,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98515,"text":"sir20105135 - 2010 - Proceedings of the Colorado River Basin Science and Resource Management Symposium, November 18-20, 2008, Scottsdale, Arizona","interactions":[],"lastModifiedDate":"2012-02-02T00:14:35","indexId":"sir20105135","displayToPublicDate":"2010-07-15T00:00:00","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":"2010-5135","title":"Proceedings of the Colorado River Basin Science and Resource Management Symposium, November 18-20, 2008, Scottsdale, Arizona","docAbstract":"Since the 1980s, four major science and restoration programs have been developed for the Colorado River Basin to address primarily the conservation of native fish and other wildlife pursuant to the Endangered Species Act (ESA): (1) Recovery Implementation Program for Endangered Fish Species in the Upper Colorado River Basin (commonly called the Upper Colorado River Endangered Fish Recovery Program) (1988); (2) San Juan River Basin Recovery Implementation Program (1992); (3) Glen Canyon Dam Adaptive Management Program (1997); and (4) Lower Colorado River Multi-Species Conservation Program (2005).\r\n\r\nToday, these four programs, the efforts of which span the length of the Colorado River, have an increasingly important influence on water management and resource conservation in the basin. The four efforts involve scores of State, Federal, and local agencies; Native American Tribes; and diverse stakeholder representatives. The programs have many commonalities, including similar and overlapping goals and objectives; comparable resources and threats to those resources; and common monitoring, research, and restoration strategies. In spite of their commonalities, until recently there had been no formal opportunity for information exchange among the programs. To address this situation, the U.S. Geological Survey (USGS) worked in coordination with the four programs and numerous Federal and State agencies to organize the first Colorado River Basin Science and Resource Management Symposium, which took place in Scottsdale, AZ, in November 2008. The symposium's primary purpose was to promote an exchange of information on research and management activities related to the restoration and conservation of the Colorado River and its major tributaries. \r\n\r\nA total of 283 managers, scientists, and stakeholders attended the 3-day symposium, which included 87 presentations and 27 posters. The symposium featured plenary talks by experts on a variety of topics, including overviews of the four restoration programs, water-management actions aimed at restoring native fish habitat, climate change, assessments of the status of native and nonnative fish populations, and Native American perspectives. Intermixed with plenary talks were four concurrent technical sessions that addressed the following important topics: (1) effects of dam and reservoir operations on downstream physical and biological resources; (2) native fish propagation and genetic management and associated challenges in co-managing native and nonnative fish in the Colorado River; (3) monitoring program design, case studies, and links to management; and (4) riparian system restoration, monitoring, and exotic species control efforts.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105135","collaboration":"Grand Canyon Monitoring and Research Center","usgsCitation":"Melis, T., Hamill, J.F., Bennett, G., Coggins, Grams, P.E., Kennedy, T., Kubly, D.M., and Ralston, B., 2010, Proceedings of the Colorado River Basin Science and Resource Management Symposium, November 18-20, 2008, Scottsdale, Arizona: U.S. Geological Survey Scientific Investigations Report 2010-5135, vi, 372 p., https://doi.org/10.3133/sir20105135.","productDescription":"vi, 372 p.","additionalOnlineFiles":"Y","temporalStart":"2008-11-18","temporalEnd":"2008-11-20","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":125844,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5135.jpg"},{"id":13906,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5135/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64ab28","contributors":{"authors":[{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":305599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamill, John F.","contributorId":43061,"corporation":false,"usgs":true,"family":"Hamill","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":305603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Glenn E. gbennett@usgs.gov","contributorId":4153,"corporation":false,"usgs":true,"family":"Bennett","given":"Glenn E.","email":"gbennett@usgs.gov","affiliations":[],"preferred":true,"id":305601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coggins, Jr.","contributorId":54306,"corporation":false,"usgs":true,"family":"Coggins","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":305605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":305600,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kennedy, Theodore A. 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":50227,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":305604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kubly, Dennis M.","contributorId":35029,"corporation":false,"usgs":true,"family":"Kubly","given":"Dennis","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":305602,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ralston, Barbara E.","contributorId":89848,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara E.","affiliations":[],"preferred":false,"id":305606,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70154946,"text":"70154946 - 2010 - Assessment and management of ecological integrity: Chapter 12","interactions":[],"lastModifiedDate":"2017-05-31T16:30:21","indexId":"70154946","displayToPublicDate":"2010-07-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Assessment and management of ecological integrity: Chapter 12","docAbstract":"<p>Assessing and understanding the impacts of human activities on aquatic ecosystems has long been a focus of ecologists, water resources managers, and fisheries scientists. While traditional fisheries management focused on single-species approaches to enhance fish stocks, there is a growing emphasis on management approaches at community and ecosystem levels. Of course, as fisheries managers shift their attention from narrow (e.g., populations) to broad organizational scales (e.g., communities or ecosystems), ecological processes and management objectives become more complex. At the community level, fisheries managers may strive for a fish assemblage that is complex, persistent, and resilient to disturbance. Aquatic ecosystem level objectives may focus on management for habitat quality and ecological processes, such as nutrient dynamics, productivity, or trophic interactions, but a long-term goal of ecosystem management may be to maintain ecological integrity. However, human users and social, economic, and political demands of fisheries management often result in a reduction of ecological integrity in managed systems, and this conflict presents a principal challenge for the modern fisheries manager. </p><p>The concepts of biotic integrity and ecological integrity are being applied in fisheries science, natural resource management, and environmental legislation, but explicit definitions of these terms are elusive. Biotic integrity of an ecosystem may be defined as the capability of supporting and maintaining an integrated, adaptive community of organisms having a species composition, diversity, and functional organization comparable to that of a natural habitat of the region (Karr and Dudley 1981). Following that, ecological integrity is the summation of chemical, physical, and biological integrity. Thus, the concept of ecological integrity extends beyond fish and represents a holistic approach for ecosystem management that is especially applicable to aquatic systems. The more general term, ecological condition, refers to the state of the physical, chemical, and biological characteristics of the environment and the processes and interactions that connect them. While the concept of ecological integrity may appear unambiguous, its assessment and practice are much less clear. </p><p>Ecological integrity made its debut in the USA with the Clean Water Act (CWA) of 1972 (Federal Water Pollution Control Act, as amended through Public Law 107–303, November 27, 2002), which states only one objective, “to restore and maintain the chemical, physical, and biological integrity of the Nation’s waters.” This legislation compelled resource managers to focus on chemical pollution from point effluent sources, such as industrial and municipal outflows, as well as give attention to diffuse, chronic, and watershed effects on ecological integrity. Further, the CWA allowed pursuit of restoration programs in degraded water bodies and catalyzed the science and practice of restoration ecology. </p><p>The term ecosystem health is often raised in discussions of ecological integrity. Perhaps it is natural to anthropomorphize our concern for personal health to ecosystems, so it becomes a useful metaphor for understanding the concept of ecological integrity. However, whether or not an ecosystem should be considered an entity, such as a superorganism, is a debate without end that began with early ecologists and continues today (Clements 1916; Suter 1993; Simon 1999a). Regardless, the ecosystem is indeed a natural unit with a level of organization and properties beyond the collection of those species that occupy it and presents the most appropriate spatial and organizational scale in which to assess and study ecological integrity. Streams and rivers serve as integrators of chemical, physical, and biological conditions across the landscape, and while the theory and practice associated with ecological integrity of aquatic systems is easily applied to flowing waters and is emphasized in this chapter, they are broadly applicable among all aquatic systems.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Inland fisheries management in North America","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","usgsCitation":"Kwak, T.J., and Freeman, M., 2010, Assessment and management of ecological integrity: Chapter 12, chap. <i>of</i> Inland fisheries management in North America, p. 353-394.","productDescription":"42 p.","startPage":"353","endPage":"394","ipdsId":"IP-015959","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":340930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183bbe4b0e541a03c1a94","contributors":{"authors":[{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":694469,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043436,"text":"70043436 - 2010 - Utilization of AMD sludges from the anthracite region of Pennsylvania for removal of phosphorus from wastewater","interactions":[],"lastModifiedDate":"2021-02-01T12:55:45.650678","indexId":"70043436","displayToPublicDate":"2010-07-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2526,"text":"Journal of the American Society of Mining and Reclamation","active":true,"publicationSubtype":{"id":10}},"title":"Utilization of AMD sludges from the anthracite region of Pennsylvania for removal of phosphorus from wastewater","docAbstract":"Excess phosphorus (P)  inputs  from human sewage, animal feeding  operations, and nonpoint source discharges to the environment have resulted in  the eutrophication of sensitive receiving bodies of water such as the Great Lakes  and Chesapeake Bay.  Phosphorus loads in wastewater discharged from such  sources can be decreased by conventional treatment with iron and aluminum salts but these chemical reagents are expensive or impractical for many applications.  \nAcid mine drainage (AMD) sludges are an inexpensive source of iron and aluminum hydrous oxides that could offer an attractive alternative to chemical \nreagent dosing for the removal of P from local wastewater.  Previous investigations have focused on AMD sludges generated in the bituminous coal region of western Pennsylvania, and  confirmed that some of  those sludges are good sorbents for P over a wide range of operating conditions.  In this study, we \nsampled sludges produced by AMD treatment at six  different  sites in the anthracite region of Pennsylvania for potential  use as P sequestration sorbents.  \nSludge samples were dried, characterized, and then tested for P removal from water.  In addition, the concentrations of acid-extractable metals and  other impurities were investigated.  Test results revealed that sludges from four of the sites showed good P sorption and were unlikely to add contaminants to treated \nwater.  These results  indicate that AMD sludges could be beneficially used to sequester P from the environment, while at the same time decreasing the expense \nof sludge disposal.","language":"English","publisher":"American Society of Mining and Reclamation","doi":"10.21000/jasmr10011085","usgsCitation":"Sibrell, P., Cravotta, C., Lehman, W., and Reichert, W., 2010, Utilization of AMD sludges from the anthracite region of Pennsylvania for removal of phosphorus from wastewater: Journal of the American Society of Mining and Reclamation, p. 1085-1100, https://doi.org/10.21000/jasmr10011085.","productDescription":"16 p.","startPage":"1085","endPage":"1100","ipdsId":"IP-018568","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":489051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21000/jasmr10011085","text":"Publisher Index Page"},{"id":382833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Schuylkill","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.70,40.49 ], [ -76.70,40.95 ], [ -75.75,40.95 ], [ -75.75,40.49 ], [ -76.70,40.49 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2010-06-30","publicationStatus":"PW","scienceBaseUri":"51955851e4b0a933d82c4cd3","contributors":{"authors":[{"text":"Sibrell, P.L.","contributorId":13343,"corporation":false,"usgs":true,"family":"Sibrell","given":"P.L.","affiliations":[],"preferred":false,"id":473573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, C.A. III","contributorId":18405,"corporation":false,"usgs":true,"family":"Cravotta","given":"C.A.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":473574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lehman, W.G.","contributorId":59326,"corporation":false,"usgs":true,"family":"Lehman","given":"W.G.","email":"","affiliations":[],"preferred":false,"id":473575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reichert, W.","contributorId":85486,"corporation":false,"usgs":true,"family":"Reichert","given":"W.","email":"","affiliations":[],"preferred":false,"id":473576,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189128,"text":"70189128 - 2010 - A minimally invasive method for extraction of sturgeon oocytes","interactions":[],"lastModifiedDate":"2017-06-30T14:13:15","indexId":"70189128","displayToPublicDate":"2010-07-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"A minimally invasive method for extraction of sturgeon oocytes","docAbstract":"<p><span>Fishery biologists, hatchery personnel, and caviar fishers routinely extract oocytes from sturgeon (Acipenseridae) to determine the stage of maturation by checking egg quality. Typically, oocytes are removed either by inserting a catheter into the oviduct or by making an incision in the body cavity. Both methods can be time-consuming and stressful to the fish. We describe a device to collect mature oocytes from sturgeons quickly and effectively with minimal stress on the fish. The device is made by creating a needle from stainless steel tubing and connecting it to a syringe with polyvinyl chloride tubing. The device is filled with saline solution or water, the needle is inserted into the abdominal wall, and eggs are extracted from the fish. Using this device, an oocyte sample can be collected in less than 30 s. Such sampling leaves a minute wound that heals quickly and does not require suturing. The extractor device can easily be used in the field or hatchery, reduces fish handling time, and minimizes stress.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1577/A09-006.1","usgsCitation":"Candrl, J., Papoulias, D.M., and Tillitt, D.E., 2010, A minimally invasive method for extraction of sturgeon oocytes: North American Journal of Aquaculture, v. 72, no. 2, p. 184-187, https://doi.org/10.1577/A09-006.1.","productDescription":"4 p.","startPage":"184","endPage":"187","ipdsId":"IP-008647","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":343235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-04-01","publicationStatus":"PW","scienceBaseUri":"5957635ae4b0d1f9f051b6bf","contributors":{"authors":[{"text":"Candrl, James S. 0000-0002-1464-2931 jcandrl@usgs.gov","orcid":"https://orcid.org/0000-0002-1464-2931","contributorId":2764,"corporation":false,"usgs":true,"family":"Candrl","given":"James S.","email":"jcandrl@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":703092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":703093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":703094,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189744,"text":"70189744 - 2010 - The Block composite submarine landslide, southern New England slope, U.S.A.: A morphological analysis","interactions":[],"lastModifiedDate":"2017-07-24T09:41:12","indexId":"70189744","displayToPublicDate":"2010-07-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"displayTitle":"The Block composite submarine landslide, southern New England slope, U.S.A.: A morphological analysis","title":"The Block composite submarine landslide, southern New England slope, U.S.A.: A morphological analysis","docAbstract":"<p><span>Recent multibeam surveys along the continental slope and rise off southeast New England has enabled a detailed morphological analysis of the Block composite landslide. This landslide consists of at least three large debris lobes resting on a gradient less than 0.5 °. The slide took place on gradients of between 1 ° and 5 ° in Quaternary sediments likely deposited at the time of low sea level and high sedimentation rates associated with glaciations. The slide debris lobes are very close to each other and cover an area of about 1.125 km</span><sup>2</sup><span><span>&nbsp;</span>of the sea floor. With an average thickness of 50 m, the total volume of the deposit is estimated at 36 km</span><sup>3</sup><span>. In some cases, the departure zone appears to be near the crest of the continental slope, at a water depth between 500 and 2,000 m with debris spreading over about 20 km at a depth ranging from 2,500 to 2,600 m. From preliminary analysis, at least one lobe of the Block Composite slide (lobe 2) would require further study to evaluate its tsunamigenic potential.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Submarine mass movements and their consequences","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Netherlands","doi":"10.1007/978-90-481-3071-9_22","usgsCitation":"Locat, J., ten Brink, U., and Chaytor, J., 2010, The Block composite submarine landslide, southern New England slope, U.S.A.: A morphological analysis, chap. <i>of</i> Submarine mass movements and their consequences, v. 28, p. 267-277, https://doi.org/10.1007/978-90-481-3071-9_22.","productDescription":"11 p.","startPage":"267","endPage":"277","ipdsId":"IP-014602","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":344233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Southern New England continental margin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.861328125,\n              37.45741810262938\n            ],\n            [\n              -67.467041015625,\n              37.45741810262938\n            ],\n            [\n              -67.467041015625,\n              40.70562793820589\n            ],\n            [\n              -72.861328125,\n              40.70562793820589\n            ],\n            [\n              -72.861328125,\n              37.45741810262938\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59770755e4b0ec1a48889fcc","contributors":{"authors":[{"text":"Locat, Jacques","contributorId":195011,"corporation":false,"usgs":false,"family":"Locat","given":"Jacques","email":"","affiliations":[],"preferred":false,"id":706069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":706067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaytor, Jason D.","contributorId":195010,"corporation":false,"usgs":false,"family":"Chaytor","given":"Jason D.","affiliations":[],"preferred":false,"id":706068,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":98509,"text":"sir20105126 - 2010 - Hydrogeologic framework of the middle San Pedro watershed, southeastern Arizona","interactions":[],"lastModifiedDate":"2018-04-02T15:21:50","indexId":"sir20105126","displayToPublicDate":"2010-07-13T00:00:00","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":"2010-5126","title":"Hydrogeologic framework of the middle San Pedro watershed, southeastern Arizona","docAbstract":"Water managers in rural Arizona are under increasing pressure to provide sustainable supplies of water despite rapid population growth and demands for environmental protection. This report describes the results of a study of the hydrogeologic framework of the middle San Pedro watershed. The components of this report include: (1) a description of the geologic setting and depositional history of basin fill sediments that form the primary aquifer system, (2) updated bedrock altitudes underlying basin fill sediments calculated using a subsurface density model of gravity data, (3) delineation of hydrogeologic units in the basin fill using lithologic descriptions in driller's logs and models of airborne electrical resistivity data, (4) a digital three-dimensional (3D) hydrogeologic framework model (HFM) that represents spatial extents and thicknesses of the hydrogeologic units (HGUs), and (5) description of the hydrologic properties of the HGUs. The lithologic interpretations based on geophysical data and unit thickness and extent of the HGUs included in the HFM define potential configurations of hydraulic zones and parameters that can be incorporated in groundwater-flow models. \r\n\r\nThe hydrogeologic framework comprises permeable and impermeable stratigraphic units: (1) bedrock, (2) sedimentary rocks predating basin-and-range deformation, (3) lower basin fill, (4) upper basin fill, and (5) stream alluvium. The bedrock unit includes Proterozoic to Cretaceous crystalline rocks, sedimentary rocks, and limestone that are relatively impermeable and poor aquifers, except for saturated portions of limestone. The pre-basin-and-range sediments underlie the lower basin fill but are relatively impermeable owing to cementation. However, they may be an important water-bearing unit where fractured. Alluvium of the lower basin fill, the main water-bearing unit, was deposited in the structural trough between the uplifted ridges of bedrock and (or) pre-basin-and-range sediments. Alluvium of the upper basin fill may be more permeable than the lower basin fill, but it is generally unsaturated in the study area. \r\n\r\nThe lower basin fill stratigraphic unit was delineated into three HGUs on the basis of lithologic descriptions in driller?s logs and one-dimensional (1D) electrical models of airborne transient electromagnetic (TEM) surveys. The interbedded lower basin fill (ILBF) HGU represents an upper sequence having resistivity values between 5 and 40 ohm-m identified as interbedded sand, gravel, and clay in driller?s logs. Below this upper sequence, fine-grained lower basin fill (FLBF) HGU represents a thick silt and clay sequence having resistivity values between 5 and 20 ohm-m. Within the coarse-grained lower basin fill (CLBF) HGU, which underlies the silt and clay of the FLBF, the resistivity values on logs and 1D models increase to several hundred ohm-m and are highly variable within sand and gravel layers. These sequences match distinct resistivity and lithologic layers identified by geophysical logs in the adjacent Sierra Vista subwatershed, suggesting that these sequences are laterally continuous within both the Benson and Sierra Vista subwatersheds in the Upper San Pedro Basin. \r\n\r\nA subsurface density model based on gravity data was constructed to identify the top of bedrock and structures that may affect regional groundwater flow. The subsurface density model contains six layers having uniform density values, which are assigned on the basis of geophysical logs. The density values for the layers range between 1.65 g/cm3 for unsaturated sediments near the land surface and 2.67 g/cm3 for bedrock. Major features include three subbasins within the study area, the Huachuca City subbasin, the Tombstone subbasin, and the Benson subbasin, which have no expression in surface topography or lithology. Bedrock altitudes from the subsurface density model defined top altitudes of the bedrock HGU. \r\n\r\nThe HFM includes the following HGUs in ascending stratigr","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105126","collaboration":"Prepared in Cooperation with the Arizona Department of Water Resources","usgsCitation":"Dickinson, J.E., Kennedy, J.R., Pool, D.R., Cordova, J., Parker, J.T., Macy, J.P., and Thomas, B., 2010, Hydrogeologic framework of the middle San Pedro watershed, southeastern Arizona: U.S. Geological Survey Scientific Investigations Report 2010-5126, viii, 36 p. , https://doi.org/10.3133/sir20105126.","productDescription":"viii, 36 p. ","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":125933,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5126.jpg"},{"id":13899,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5126/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 31.5,-110.83333333333333 ], [ 31.5,32.833333333333336 ], [ -109.16666666666667,32.833333333333336 ], [ -109.16666666666667,-110.83333333333333 ], [ 31.5,-110.83333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db627a32","contributors":{"authors":[{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pool, D. R.","contributorId":75581,"corporation":false,"usgs":true,"family":"Pool","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":305581,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cordova, Jeffrey T. jcordova@usgs.gov","contributorId":1845,"corporation":false,"usgs":true,"family":"Cordova","given":"Jeffrey T.","email":"jcordova@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":false,"id":305578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parker, John T.","contributorId":97886,"corporation":false,"usgs":true,"family":"Parker","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":305582,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Macy, J. P.","contributorId":41913,"corporation":false,"usgs":true,"family":"Macy","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":305580,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thomas, Blakemore","contributorId":99660,"corporation":false,"usgs":true,"family":"Thomas","given":"Blakemore","affiliations":[],"preferred":false,"id":305583,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044350,"text":"70044350 - 2010 - The PRISM3D paleoenvironmental reconstruction","interactions":[],"lastModifiedDate":"2013-04-25T09:39:53","indexId":"70044350","displayToPublicDate":"2010-07-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"The PRISM3D paleoenvironmental reconstruction","docAbstract":"The Pliocene Research, Interpretation and Synoptic Mapping (PRISM) paleoenvironmental reconstruction is an internally consistent and comprehensive global synthesis of a past interval of relatively warm and stable climate. It is regularly used in model studies that aim to better understand Pliocene climate, to improve model performance in future climate scenarios, and to distinguish model-dependent climate effects. The PRISM reconstruction is constantly evolving in order to incorporate additional geographic sites and environmental parameters, and is continuously refined by independent research findings. The new PRISM three dimensional (3D) reconstruction differs from previous PRISM reconstructions in that it includes a subsurface ocean temperature reconstruction, integrates geochemical sea surface temperature proxies to supplement the faunal-based temperature estimates, and uses numerical models for the first time to augment fossil data. Here we describe the components of PRISM3D and describe new findings specific to the new reconstruction. Highlights of the new PRISM3D reconstruction include removal of Hudson Bay and the Great Lakes and creation of open waterways in locations where the current bedrock elevation is less than 25m above modern sea level, due to the removal of the West Antarctic Ice Sheet and the reduction of the East Antarctic Ice Sheet. The mid-Piacenzian oceans were characterized by a reduced east-west temperature gradient in the equatorial Pacific, but PRISM3D data do not imply permanent El Niño conditions. The reduced equator-to-pole temperature gradient that characterized previous PRISM reconstructions is supported by significant displacement of vegetation belts toward the poles, is extended into the Arctic Ocean, and is confirmed by multiple proxies in PRISM3D. Arctic warmth coupled with increased dryness suggests the formation of warm and salty paleo North Atlantic Deep Water (NADW) and a more vigorous thermohaline circulation system that may have provided the enhanced ocean heat transport necessary to move warm surface water to the Arctic. New deep ocean temperature data also suggests greater warmth and further southward penetration of paleo NADW.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Stratigraphy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Micropaleontology Press","usgsCitation":"Dowsett, H., Robinson, M., Haywood, A., Salzmann, U., Hill, D., Sohl, L., Chandler, M., Williams, M., Foley, K., and Stoll, D., 2010, The PRISM3D paleoenvironmental reconstruction: Stratigraphy, v. 7, no. 2-3, p. 123-139.","productDescription":"17 p.","startPage":"123","endPage":"139","numberOfPages":"17","ipdsId":"IP-022960","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":271452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517a506de4b072c16ef14b48","contributors":{"authors":[{"text":"Dowsett, H.","contributorId":44303,"corporation":false,"usgs":true,"family":"Dowsett","given":"H.","email":"","affiliations":[],"preferred":false,"id":475341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, M.","contributorId":50272,"corporation":false,"usgs":true,"family":"Robinson","given":"M.","affiliations":[],"preferred":false,"id":475343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haywood, A.M.","contributorId":101050,"corporation":false,"usgs":true,"family":"Haywood","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":475348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salzmann, U.","contributorId":95711,"corporation":false,"usgs":true,"family":"Salzmann","given":"U.","email":"","affiliations":[],"preferred":false,"id":475347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hill, Daniel","contributorId":67790,"corporation":false,"usgs":true,"family":"Hill","given":"Daniel","affiliations":[],"preferred":false,"id":475346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sohl, L.E.","contributorId":45917,"corporation":false,"usgs":true,"family":"Sohl","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":475342,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chandler, M.","contributorId":28884,"corporation":false,"usgs":true,"family":"Chandler","given":"M.","email":"","affiliations":[],"preferred":false,"id":475340,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Mark","contributorId":15098,"corporation":false,"usgs":true,"family":"Williams","given":"Mark","affiliations":[],"preferred":false,"id":475339,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Foley, K.","contributorId":55315,"corporation":false,"usgs":true,"family":"Foley","given":"K.","email":"","affiliations":[],"preferred":false,"id":475344,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stoll, D.K.","contributorId":66088,"corporation":false,"usgs":true,"family":"Stoll","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":475345,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":98504,"text":"fs20103051 - 2010 - Use of semipermeable membrane devices (SPMDs) in petroleum polluted waters","interactions":[],"lastModifiedDate":"2019-08-02T10:16:13","indexId":"fs20103051","displayToPublicDate":"2010-07-09T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3051","title":"Use of semipermeable membrane devices (SPMDs) in petroleum polluted waters","docAbstract":"Passive samplers, in particular semipermeable membrane devices (SPMDs), can be used in monitoring petroleum spills. This document is intended to provide a brief discussion of issues surrounding the use and capabilities of the SPMD.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20103051","usgsCitation":"Alvarez, D.A., 2010, Use of semipermeable membrane devices (SPMDs) in petroleum polluted waters: U.S. Geological Survey Fact Sheet 2010-3051, 2 p., https://doi.org/10.3133/fs20103051.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":118479,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3051.jpg"},{"id":13893,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3051/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a18e4b07f02db60516c","contributors":{"authors":[{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":305567,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98505,"text":"sir20105105 - 2010 - Simulated groundwater flow in the Ogallala and Arikaree aquifers, Rosebud Indian Reservation area, South Dakota – Revisions with data through water year 2008 and simulations of potential future scenarios","interactions":[],"lastModifiedDate":"2021-12-14T19:52:30.499727","indexId":"sir20105105","displayToPublicDate":"2010-07-09T00:00:00","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":"2010-5105","title":"Simulated groundwater flow in the Ogallala and Arikaree aquifers, Rosebud Indian Reservation area, South Dakota – Revisions with data through water year 2008 and simulations of potential future scenarios","docAbstract":"<p>The Ogallala and Arikaree aquifers are important water resources in the Rosebud Indian Reservation area and are used extensively for irrigation, municipal, and domestic water supplies. Drought or increased withdrawals from the Ogallala and Arikaree aquifers in the Rosebud Indian Reservation area have the potential to affect water levels in these aquifers. This report documents revisions and recalibration of a previously published three-dimensional, numerical groundwater-flow model for this area. Data for a 30-year period (water years 1979 through 2008) were used in steady-state and transient numerical simulations of groundwater flow. In the revised model, revisions include (1) extension of the transient calibration period by 10 years, (2) the use of inverse modeling for steady-state calibration, (3) model calibration to base flow for an additional four surface-water drainage basins, (4) improved estimation of transient aquifer recharge, (5) improved delineation of vegetation types, and (6) reduced cell size near large capacity water-supply wells. In addition, potential future scenarios were simulated to assess the potential effects of drought and increased groundwater withdrawals.</p><p>The model comprised two layers: the upper layer represented the Ogallala aquifer and the lower layer represented the Arikaree aquifer. The model’s grid had 168 rows and 202 columns, most of which were 1,640 feet (500 meters) wide, with narrower rows and columns near large water-supply wells. Recharge to the Ogallala and Arikaree aquifers occurs from precipitation on the outcrop areas. The average recharge rates used for the steady-state simulation were 2.91 and 1.45 inches per year for the Ogallala aquifer and Arikaree aquifer, respectively, for a total rate of 255.4 cubic feet per second (ft<sup>3</sup>/s). Discharge from the aquifers occurs through evapotranspiration, discharge to streams as base flow and spring flow, and well withdrawals. Discharge rates for the steady-state simulation were 171.3 ft<sup>3</sup>/s for evapotranspiration, 74.4 ft<sup>3</sup>/s for net outflow to streams and springs, and 11.6 ft<sup>3</sup>/s for well withdrawals. Estimated horizontal hydraulic conductivity used for the numerical model ranged from 0.2 to 84.4 feet per day (ft/d) in the Ogallala aquifer and from 0.1 to 4.3 ft/d in the Arikaree aquifer. A uniform vertical hydraulic conductivity value of 4.2x10<sup>-4</sup> ft/d was estimated for the Ogallala aquifer. Vertical hydraulic conductivity was estimated for five zones in the Arikaree aquifer and ranged from 8.8x10<sup>-5</sup> to 3.7 ft/d. Average rates of recharge, maximum evapotranspiration, and well withdrawals were included in the steady-state simulation, whereas the time-varying rates were included in the transient simulation.</p><p>Inverse modeling techniques were used for steady-state model calibration. These methods were designed to estimate parameter values that are, statistically, the most likely set of values to result in the smallest differences between simulated and observed hydraulic heads and base-flow discharges. For the steady-state simulation, the root mean square error for simulated hydraulic heads for all 383 wells was 27.3 feet. Simulated hydraulic heads were within ±50 feet of observed values for 93 percent of the wells. The potentiometric surfaces of the two aquifers calculated by the steady-state simulation established initial conditions for the transient simulation. For the transient simulation, the difference between the simulated and observed means for hydrographs was within ±40 feet for 98 percent of 44 observation wells.</p><p>A sensitivity analysis was used to examine the response of the calibrated steady-state model to changes in model parameters including horizontal and vertical hydraulic conductivity, evapotranspiration, recharge, and riverbed conductance. The model was most sensitive to recharge and maximum evapotranspiration and least sensitive to riverbed and spring conductances.</p><p>To simulate a potential future drought scenario, a synthetic recharge record was created, the mean of which was equal to 64 percent of the average estimated recharge rate for the 30-year calibration period. This synthetic recharge record was used to simulate the last 20 years of the calibration period under drought conditions. Compared with results of the calibrated model, decreases in hydraulic-head values for the drought scenario at the end of the simulation period were as much as 39 feet for the Ogallala aquifer. To simulate the effects of potential increases in pumping, well withdrawal rates were increased by 50 percent from those estimated for the 30-year calibration period for the last 20 years of the calibration period. Compared with results of the calibrated model, decreases in hydraulic-head values for the scenario of increased pumping at the end of the simulation period were as much as 13 feet for the Ogallala aquifer.</p><p>This numerical model is suitable as a tool to help understand the flow system, to help confirm that previous estimates of aquifer properties were reasonable, and to estimate aquifer properties in areas without data. The model also is useful to help assess the effects of drought and increases in pumping by simulations of these scenarios, the results of which are not precise but may be considered when making water management decisions.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105105","collaboration":"Prepared in cooperation with the Rosebud Sioux Tribe","usgsCitation":"Long, A.J., and Putnam, L.D., 2010, Simulated groundwater flow in the Ogallala and Arikaree aquifers, Rosebud Indian Reservation area, South Dakota – Revisions with data through water year 2008 and simulations of potential future scenarios: U.S. Geological Survey Scientific Investigations Report 2010-5105, viii, 54 p., https://doi.org/10.3133/sir20105105.","productDescription":"viii, 54 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-10-01","temporalEnd":"2008-09-30","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":118481,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5105.jpg"},{"id":392872,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93504.htm"},{"id":13894,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5105/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","projection":"Universal Transverse Mercator","country":"United States","state":"South Dakota","otherGeospatial":"Arikaree aquifer, Ogallala aquifer, Rosebud Indian Reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.2881,\n              42.96\n            ],\n            [\n              -100.1711,\n              42.96\n            ],\n            [\n              -100.1711,\n              43.6456\n            ],\n            [\n              -101.2881,\n              43.6456\n            ],\n            [\n              -101.2881,\n              42.96\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e568","contributors":{"authors":[{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putnam, Larry D. ldputnam@usgs.gov","contributorId":990,"corporation":false,"usgs":true,"family":"Putnam","given":"Larry","email":"ldputnam@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":305569,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98501,"text":"ofr20101120 - 2010 - Thermal Imaging of the Waccasassa Bay Preserve: Image Acquisition and Processing","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ofr20101120","displayToPublicDate":"2010-07-09T00:00:00","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":"2010-1120","title":"Thermal Imaging of the Waccasassa Bay Preserve: Image Acquisition and Processing","docAbstract":"Thermal infrared (TIR) imagery was acquired along coastal Levy County, Florida, in March 2009 with the goal of identifying groundwater-discharge locations in Waccasassa Bay Preserve State Park (WBPSP). Groundwater discharge is thermally distinct in winter when Floridan aquifer temperature, 71-72 degrees F, contrasts with the surrounding cold surface waters. Calibrated imagery was analyzed to assess temperature anomalies and related thermal traces. The influence of warm Gulf water and image artifacts on small features was successfully constrained by image evaluation in three separate zones: Creeks, Bay, and Gulf. Four levels of significant water-temperature anomalies were identified, and 488 sites of interest were mapped. Among the sites identified, at least 80 were determined to be associated with image artifacts and human activity, such as excavation pits and the Florida Barge Canal. Sites of interest were evaluated for geographic concentration and isolation. High site densities, indicating interconnectivity and prevailing flow, were located at Corrigan Reef, No. 4 Channel, Winzy Creek, Cow Creek, Withlacoochee River, and at excavation sites. In other areas, low to moderate site density indicates the presence of independent vents and unique flow paths. A directional distribution assessment of natural seep features produced a northwest trend closely matching the strike direction of regional faults. Naturally occurring seeps were located in karst ponds and tidal creeks, and several submerged sites were detected in Waccasassa River and Bay, representing the first documentation of submarine vents in the Waccasassa region. Drought conditions throughout the region placed constraints on positive feature identification. Low discharge or displacement by landward movement of saltwater may have reduced or reversed flow during this season. Approximately two-thirds of seep locations in the overlap between 2009 and 2005 TIR night imagery were positively re-identified in 2009. These results indicate a 33 percent chance of feature omission in the 2009 imagery. This assessment of seep location and distribution contributes to an understanding of the underlying geology, the role of fault and fracture patterns, and the presence of both interconnected and constrained flow paths in the region. The maps and evaluations will enhance Park management efforts, interpretation of Park resources, and increase understanding of the combined effects of land and water use on the coastal lowlands, estuarine habitats, and natural resources of WBPSP. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101120","collaboration":"Prepared in cooperation with Waccasassa Bay Preserve State Park and Florida Springs Initiative","usgsCitation":"Raabe, E.A., and Bialkowska-Jelinska, E., 2010, Thermal Imaging of the Waccasassa Bay Preserve: Image Acquisition and Processing: U.S. Geological Survey Open-File Report 2010-1120, vii, 91 p., https://doi.org/10.3133/ofr20101120.","productDescription":"vii, 91 p.","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":118485,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1120.jpg"},{"id":13889,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1120/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.33333333333333,29 ], [ -83.33333333333333,29.466666666666665 ], [ -82.5,29.466666666666665 ], [ -82.5,29 ], [ -83.33333333333333,29 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a57e4b07f02db62e915","contributors":{"authors":[{"text":"Raabe, Ellen A. eraabe@usgs.gov","contributorId":2125,"corporation":false,"usgs":true,"family":"Raabe","given":"Ellen","email":"eraabe@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bialkowska-Jelinska, Elzbieta","contributorId":35408,"corporation":false,"usgs":true,"family":"Bialkowska-Jelinska","given":"Elzbieta","email":"","affiliations":[],"preferred":false,"id":305544,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98498,"text":"ofr20101135 - 2010 - Initial Results from a Study of Climatic Changes and the Effect on Wild Sheep Habitat in Selected Study Areas of Alaska","interactions":[],"lastModifiedDate":"2012-02-10T00:10:06","indexId":"ofr20101135","displayToPublicDate":"2010-07-08T00:00:00","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":"2010-1135","title":"Initial Results from a Study of Climatic Changes and the Effect on Wild Sheep Habitat in Selected Study Areas of Alaska","docAbstract":"Climate change theorists have projected striking changes in local weather on earth due to increases in temperature. These predicted changes may cause melting glaciers and ice caps, rising sea levels, increasing desertification and other environmental changes which seem likely to affect presumed indicator species as harbingers of more significant changes. Wild sheep, even though they are one of the more successful mammalian taxa since Pleistocene times, exhibit a suite of adaptations to glacier driven environments which may be presumed to render them sensitive to environmental changes. The authors began investigation with these assumptions by comparing changes, as determined by satellite imagery, in glacier extent in our study areas in Denali National Park, Alaska, during the last 30 years. Our findings showed the extent of glacial retreat in Alaska during this time period was approximately 40-50 percent as measured by ablation zone and retreat of terminal moraines. During the first half of this 30-year period, Dall sheep (Ovis dalli dalli) populations were stable at historically recorded highs. In the early to mid-1990s, Dall sheep populations in Alaska declined from an historical estimated high of 75,000 sheep to the presently estimated 40-50,000. The declines seemed to be weather related, on the basis of the presumption that lamb survival rates are primarily weather-mediated in Alaska. Changes in local weather appear, at this point, to be correlated with oscillation in the Pacific Current in the Northern Pacific ocean. Of course, changes in local weather affect forage abundance and quality seasonally. In investigating a possible linkage of weather to seasonal forage abundance and quality, we also investigated changes in snow and ice extent and distribution, as well as increased water runoff associated with permafrost and depleted glaciers. Databases were assembled from a wide variety of remotely sensed satellite data, ground-based observations, and historical data bases relating to Dall sheep habitats in selected study areas. Alaska's sheep habitats are typified by long, narrow bands of mountainous uplifts generally arrayed west-to-east, and perpendicular to prevailing south-to-north weather-front movements. Classic Dall sheep habitat occurs on snow-shadowed slopes within these narrow mountainous habitats. On the basis of these data, we offer an explanatory hypothesis relating Dall sheep welfare to weather and climate-influenced nutrition and a monitoring scheme, which should produce data sufficient to test the robustness of this hypothesis. If correlated with population changes, the methods used in our comparative observations may provide long-term monitoring tools for wildlife managers and be applicable in other widely-dispersed wild sheep habitats. If no significant correlations emerge from our modeling exercises, the notion that wild sheep are a sufficiently sensitive species to be seen as an indicator species will have to be reexamined. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101135","usgsCitation":"Pfeifer, E., Ruhlman, J., Middleton, B., Dye, D., and Acosta, A., 2010, Initial Results from a Study of Climatic Changes and the Effect on Wild Sheep Habitat in Selected Study Areas of Alaska: U.S. Geological Survey Open-File Report 2010-1135, iv, 39 p.; Appendices, https://doi.org/10.3133/ofr20101135.","productDescription":"iv, 39 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":125930,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1135.jpg"},{"id":13886,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1135/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.33333333333334,63.166666666666664 ], [ -150.33333333333334,63.666666666666664 ], [ -149,63.666666666666664 ], [ -149,63.166666666666664 ], [ -150.33333333333334,63.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e886","contributors":{"authors":[{"text":"Pfeifer, Edwin epfeifer@usgs.gov","contributorId":569,"corporation":false,"usgs":true,"family":"Pfeifer","given":"Edwin","email":"epfeifer@usgs.gov","affiliations":[],"preferred":true,"id":305534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruhlman, Jana","contributorId":93013,"corporation":false,"usgs":true,"family":"Ruhlman","given":"Jana","email":"","affiliations":[],"preferred":false,"id":305538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Middleton, Barry","contributorId":38119,"corporation":false,"usgs":true,"family":"Middleton","given":"Barry","affiliations":[],"preferred":false,"id":305535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dye, Dennis","contributorId":54159,"corporation":false,"usgs":true,"family":"Dye","given":"Dennis","affiliations":[],"preferred":false,"id":305536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Acosta, Alex aacosta@usgs.gov","contributorId":73557,"corporation":false,"usgs":true,"family":"Acosta","given":"Alex","email":"aacosta@usgs.gov","affiliations":[],"preferred":false,"id":305537,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98497,"text":"sir20105092 - 2010 - A Geochemical Mass-Balance Method for Base-Flow Separation, Upper Hillsborough River Watershed, West-Central Florida, 2003-2005 and 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"sir20105092","displayToPublicDate":"2010-07-07T00:00:00","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":"2010-5092","title":"A Geochemical Mass-Balance Method for Base-Flow Separation, Upper Hillsborough River Watershed, West-Central Florida, 2003-2005 and 2009","docAbstract":"Geochemical mass-balance (GMB) and conductivity mass-balance (CMB) methods for hydrograph separation were used to determine the contribution of base flow to total stormflow at two sites in the upper Hillsborough River watershed in west-central Florida from 2003-2005 and at one site in 2009. The chemical and isotopic composition of streamflow and precipitation was measured during selected local and frontal low- and high-intensity storm events and compared to the geochemical and isotopic composition of groundwater. Input for the GMB method included cation, anion, and stable isotope concentrations of surface water and groundwater, whereas input for the CMB method included continuous or point-sample measurement of specific conductance. \r\n\r\nThe surface water is a calcium-bicarbonate type water, which closely resembles groundwater geochemically, indicating that much of the surface water in the upper Hillsborough River basin is derived from local groundwater discharge. This discharge into the Hillsborough River at State Road 39 and at Hillsborough River State Park becomes diluted by precipitation and runoff during the wet season, but retains the calcium-bicarbonate characteristics of Upper Floridan aquifer water. \r\n\r\nField conditions limited the application of the GMB method to low-intensity storms but the CMB method was applied to both low-intensity and high-intensity storms. The average contribution of base flow to total discharge for all storms ranged from 31 to 100 percent, whereas the contribution of base flow to total discharge during peak discharge periods ranged from less than 10 percent to 100 percent. \r\n\r\nAlthough calcium, magnesium, and silica were consistent markers of Upper Floridan aquifer chemistry, their use in calculating base flow by the GMB method was limited because the frequency of point data collected in this study was not sufficient to capture the complete hydrograph from pre-event base-flow to post-event base-flow concentrations. In this study, pre-event water represented somewhat diluted groundwater. \r\n\r\nStreamflow conductivity integrates the concentrations of the major ions, and the logistics of acquiring specific conductance at frequent time intervals are less complicated than data collection, sample processing, shipment, and analysis of water samples in a laboratory. The acquisition of continuous specific conductance data reduces uncertainty associated with less-frequently collected geochemical point data. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105092","collaboration":"Prepared in cooperation with\r\nSouthwest Florida Water Management District","usgsCitation":"Kish, G.R., Stringer, C., Stewart, M., Rains, M., and Torres, A.E., 2010, A Geochemical Mass-Balance Method for Base-Flow Separation, Upper Hillsborough River Watershed, West-Central Florida, 2003-2005 and 2009: U.S. Geological Survey Scientific Investigations Report 2010-5092, viii, 33 p. , https://doi.org/10.3133/sir20105092.","productDescription":"viii, 33 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2003-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125557,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5092.jpg"},{"id":13885,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5092/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal-Area Conic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.75,27.833333333333332 ], [ -82.75,28.5 ], [ -81.83333333333333,28.5 ], [ -81.83333333333333,27.833333333333332 ], [ -82.75,27.833333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4956e4b0b290850ef127","contributors":{"authors":[{"text":"Kish, G. R.","contributorId":65118,"corporation":false,"usgs":true,"family":"Kish","given":"G.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":305530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stringer, C.E.","contributorId":73311,"corporation":false,"usgs":true,"family":"Stringer","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":305531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, M.T.","contributorId":6487,"corporation":false,"usgs":true,"family":"Stewart","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":305529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rains, M.C.","contributorId":78046,"corporation":false,"usgs":true,"family":"Rains","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":305532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torres, A. E.","contributorId":94350,"corporation":false,"usgs":true,"family":"Torres","given":"A.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":305533,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236422,"text":"70236422 - 2010 - Implications of estuarine transport for water quality","interactions":[],"lastModifiedDate":"2022-09-06T17:17:10.985179","indexId":"70236422","displayToPublicDate":"2010-07-06T12:08:22","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Implications of estuarine transport for water quality","docAbstract":"<p>In this chapter, some implications of estuarine transport for water quality are discussed. This is not an exhaustive review of all physical processes potentially important to water quality in estuaries. Rather, the focus is on (1) some fundamental relationships, concepts, and helpful idealizations (e.g., evolution equations for reactive scalars, transport time scales, scaling and non-dimensional numbers), (2) some common and often dominant physical processes in terms of their influence on estuarine water quality (e.g., stratification and turbulent mixing), and (3) some less prevalently discussed but probably widely important issues regarding high-frequency (i.e., intradaily) processes and their influence on water quality.</p><p>Here, “water quality” refers to the full range of suspended constituents (or “scalars”, i.e., non-vector quantities) in an estuarine water column. These constituents may be dissolved or particulate, mineral, chemical, or biological, or they may represent physical properties of the water (e.g., temperature). The spatial distribution of a water quality constituent is influenced by the hydrodynamic environment in which it is suspended, but it may be additionally subject to motility, positive buoyancy, or negative buoyancy (e.g., some phytoplankton or zooplankton). Water quality scalars may be conservative (i.e., non-reactive, such as salt) or non-conservative (i.e., reactive and thereby potentially changing in concentration or form during transit; e.g., nitrogen, phosphorus, or phytoplankton). Hydrodynamic and transport processes are important not only because they “move stuff around” but also because, in the case of reactive scalars, those processes may expose the scalars to a range of environments, each of which may be associated with distinct rates of scalar transformation.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Contemporary issues in estuarine physics","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9780511676567.011","usgsCitation":"Lucas, L., 2010, Implications of estuarine transport for water quality, chap. 10 <i>of</i> Contemporary issues in estuarine physics, p. 273-307, https://doi.org/10.1017/CBO9780511676567.011.","productDescription":"35 p.","startPage":"273","endPage":"307","costCenters":[],"links":[{"id":406245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Valle-Levinson, Arnoldo","contributorId":243337,"corporation":false,"usgs":false,"family":"Valle-Levinson","given":"Arnoldo","email":"","affiliations":[{"id":48691,"text":"Civil and Coastal Engineering Department, ESSIE, University of Florida 365 Weil Hall, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":850949,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Lucas, Lisa 0000-0001-7797-5517 llucas@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-5517","contributorId":2181,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"llucas@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":850948,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98491,"text":"sir20105081 - 2010 - Submarine groundwater discharge and fate along the coast of Kaloko-Honokohau National Historical Park, Island of Hawai`i: Part 3, spatial and temporal patterns in nearshore waters and coastal groundwater plumes, December 2003-April 2006","interactions":[],"lastModifiedDate":"2022-09-28T21:30:23.529114","indexId":"sir20105081","displayToPublicDate":"2010-07-03T00:00:00","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":"2010-5081","title":"Submarine groundwater discharge and fate along the coast of Kaloko-Honokohau National Historical Park, Island of Hawai`i: Part 3, spatial and temporal patterns in nearshore waters and coastal groundwater plumes, December 2003-April 2006","docAbstract":"<p>During seven surveys between December 2003 and April 2006, 1,045 depth profiles of surface water temperature and salinity were collected to examine variability in water column properties and the influence of submarine groundwater discharge (SGD) on the nearshore waters and coral reef complex of Kaloko-Honokōhau National Historical Park, Island of Hawai‘i. This effort was made to characterize the variability in nearshore water properties with seasonality and hydrodynamic forcing (tides, winds, and waves) and to determine the spatial and vertical extent of influence of SGD plumes on the Park’s marine biological resources. The results of this study reveal that nearshore waters of the Park were persistently influenced by plumes of submarine groundwater discharge that are generally colder, less saline, and more concentrated in nutrients than the surrounding seawater. These plumes extended between 100 and 1,000 m offshore to depths ranging between 1 and 5 m and often contained several million to hundreds of millions of gallons of brackish water. In essence, the Park’s nearshore, like much of the arid west coast of Hawai‘i, is estuarine. Although the groundwater plumes were persistent over the years studied, their spatial extent and volume varied tidally, seasonally, and annually. In one season, April 2004, an inverse relation of decreasing salinity with increasing temperature was found in the upper 5 m of the water column, unlike the other seasons, when surface water temperature and salinity were positively correlated.</p><p>These data provide the first comprehensive record of nearshore water column properties within the Park boundaries and a baseline for detecting and assessing future conditions. Various resort, industrial, and municipal developments, either planned or under construction around the Park, will require significant groundwater supplies and will likely alter groundwater quantity and quality. The flux and quality of groundwater through the National Park are critical to the rare anchialine (brackish) pool ecosystems and various ecosystem functions of the nearshore waters and coral reefs. Changes in groundwater discharge are expected to have significant impacts to the area’s coastal ecosystems, including decreased freshwater outflow to the brackish anchialine pools and coral reefs and increased nutrient and contaminant concentrations. In conjunction with two complementary studies of this series (Parts 1 and 2), these data provide insight into the patterns of influence and fate of SGD in the Park’s coastal waters. This information is important for determining water-resource management strategies that balance the needs of the ecosystem with those of human livelihood. This report describes the data, presents the general findings, and gives representative examples of seasonal and tidal variability in water column properties and SGD-fed plumes across the Park’s nearshore waters.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105081","usgsCitation":"Grossman, E., Logan, J., Presto, M., and Storlazzi, C., 2010, Submarine groundwater discharge and fate along the coast of Kaloko-Honokohau National Historical Park, Island of Hawai`i: Part 3, spatial and temporal patterns in nearshore waters and coastal groundwater plumes, December 2003-April 2006: U.S. Geological Survey Scientific Investigations Report 2010-5081, vii, 76 p., https://doi.org/10.3133/sir20105081.","productDescription":"vii, 76 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":125852,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5081.jpg"},{"id":407560,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93390.htm","linkFileType":{"id":5,"text":"html"}},{"id":13877,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5081/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaloko-Honokohau National Historical Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.05117797851562,\n              19.666998154072363\n            ],\n            [\n              -156.01444244384766,\n              19.666998154072363\n            ],\n            [\n              -156.01444244384766,\n              19.70578884134168\n            ],\n            [\n              -156.05117797851562,\n              19.70578884134168\n            ],\n            [\n              -156.05117797851562,\n              19.666998154072363\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699bf2","contributors":{"authors":[{"text":"Grossman, Eric E.","contributorId":40677,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","affiliations":[],"preferred":false,"id":305505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Joshua B.","contributorId":34470,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua B.","affiliations":[],"preferred":false,"id":305504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Presto, M. Katherine","contributorId":30192,"corporation":false,"usgs":true,"family":"Presto","given":"M. Katherine","affiliations":[],"preferred":false,"id":305503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":305506,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98495,"text":"ofr20101109 - 2010 - Neosho madtom and other ictalurid populations in relation to hydrologic characteristics of an impounded Midwestern warmwater stream: Update","interactions":[],"lastModifiedDate":"2022-08-23T21:24:19.961962","indexId":"ofr20101109","displayToPublicDate":"2010-07-03T00:00:00","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":"2010-1109","title":"Neosho madtom and other ictalurid populations in relation to hydrologic characteristics of an impounded Midwestern warmwater stream: Update","docAbstract":"<p><span>The Neosho madtom, </span><i>Noturus placidus</i><span>, is a small (less than 75 millimeters in total length) ictalurid that is native to the main stems of the Neosho and Cottonwood Rivers in Kansas and Oklahoma and the Spring River in Kansas and Missouri. The Neosho madtom was federally listed as threatened by the U.S. Fish and Wildlife Service in May 1990. The U.S. Fish and Wildlife Service has been monitoring Neosho madtoms since 1991, and questioned whether or not Neosho madtom densities were affected by other catfish species, reservoirs, and hydrologic characteristics. Using the first 8 years of U.S. Fish and Wildlife Service monitoring data, Wildhaber and others (2000) analyzed whether or not Neosho madtom densities were related to these environmental characteristics. The goal of this report is to update these results with data from 1999 to 2008. The trends of Neosho madtom densities in respect to John Redmond Reservoir and other catfish species remains consistent with the previous report. In both the Neosho and Spring Rivers, Neosho madtoms had a significant positive association with all catfish species. Of those species tested, only in the population of Neosho madtoms were significantly different in density above verses below the John Redmond Reservoir after accounting for the yearly variation. The average density of Neosho madtoms at the streamgage immediately below the reservoir had the second lowest density compared to the other streamgages. The positive associations with Neosho madtoms that remained consistent from the previous report included the 1-, 3-, and 7-day minima discharges and the annual minimum discharge from the previous water year (water year prior to when the fish were sampled) and the 1-, 3-, 7-, and 30-day minima discharges from the current water year (same water year fish were sampled).</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101109","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Bryan, J.L., Wildhaber, M.L., Leeds, W.B., and Dey, R., 2010, Neosho madtom and other ictalurid populations in relation to hydrologic characteristics of an impounded Midwestern warmwater stream: Update: U.S. Geological Survey Open-File Report 2010-1109, v, 20 p., https://doi.org/10.3133/ofr20101109.","productDescription":"v, 20 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":125853,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1109.jpg"},{"id":341600,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1109/pdf/OFR2010-1109.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":13881,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1109/","linkFileType":{"id":5,"text":"html"}},{"id":405504,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93391.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Kansas, Missouri, Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.8333,\n              36.5\n            ],\n            [\n              -94,\n              36.5\n            ],\n            [\n              -94,\n              38.6667\n            ],\n            [\n              -96.8333,\n              38.6667\n            ],\n            [\n              -96.8333,\n              36.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db697952","contributors":{"authors":[{"text":"Bryan, Janice L.","contributorId":58589,"corporation":false,"usgs":true,"family":"Bryan","given":"Janice","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":305525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":305523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leeds, William B.","contributorId":45563,"corporation":false,"usgs":true,"family":"Leeds","given":"William","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":305524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dey, Rima","contributorId":81210,"corporation":false,"usgs":true,"family":"Dey","given":"Rima","email":"","affiliations":[],"preferred":false,"id":305526,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98494,"text":"sir20105120 - 2010 - Bromide, Chloride, and Sulfate Concentrations and Loads at U.S. Geological Survey Streamflow-Gaging Stations 07331600 Red River at Denison Dam, 07335500 Red River at Arthur City, and 07336820 Red River near DeKalb, Texas, 2007-09","interactions":[],"lastModifiedDate":"2019-12-30T14:24:32","indexId":"sir20105120","displayToPublicDate":"2010-07-03T00:00:00","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":"2010-5120","title":"Bromide, Chloride, and Sulfate Concentrations and Loads at U.S. Geological Survey Streamflow-Gaging Stations 07331600 Red River at Denison Dam, 07335500 Red River at Arthur City, and 07336820 Red River near DeKalb, Texas, 2007-09","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the City of Dallas Water Utilities Division, did a study to characterize bromide, chloride, and sulfate concentrations and loads at three U.S. Geological Survey streamflow-gaging stations on the reach of the Red River from Denison Dam, which impounds Lake Texoma, to the U.S. Highway 259 bridge near DeKalb, Texas. Bromide, chloride, and sulfate concentrations and loads were computed for streamflow-gaging stations on the study reach of the Red River. Continuous streamflow and specific conductance data and discrete samples for bromide, chloride, sulfate, and specific conductance were collected at three main-stem streamflow-gaging stations on the Red River: 07331600 Red River at Denison Dam near Denison, Texas (Denison Dam gage), 07335500 Red River at Arthur City, Texas (Arthur City gage), and 07336820 Red River near DeKalb, Texas (DeKalb gage). At each of these streamflow-gaging stations, discrete water-quality data were collected during January 2007-February 2009; continuous water-quality data were collected during March 2007-February 2009. Two periods of high flow resulted from floods during the study; floods during June-July 2007 resulted in elevated flow during June-September 2007 and smaller floods during March-April 2008 resulted in elevated flow during March-April 2008. Bromide, chloride, and sulfate concentrations in samples collected at the three gages decreased downstream. Median bromide concentrations ranged from 0.32 milligram per liter at the Denison Dam gage to 0.19 milligram per liter at the DeKalb gage. Median chloride concentrations ranged from 176 milligrams per liter at the Denison Dam gage to 108 milligrams per liter at the DeKalb gage, less than the 300-milligrams per liter secondary maximum contaminant level established by the Texas Commission on Environmental Quality. Median sulfate concentrations ranged from 213 milligrams per liter at the Denison Dam gage to 117 milligrams per liter at the DeKalb gage, also less than the 300-milligrams per liter secondary maximum contaminant level. Kruskal-Wallis analyses indicated statistically significant differences among bromide, chloride, and sulfate concentrations at the three gages. Regression equations to estimate bromide, chloride, and sulfate loads were developed for each of the three gages. The largest loads were estimated for a period of relatively large streamflow, June-September 2007, when about 50 percent of the load for the study period occurred at each gage. Adjusted R-squared values were largest for regression equations for the DeKalb gage, ranging from .957 for sulfate to .976 for chloride. Adjusted R-squared values for all regression equations developed to estimate loads of bromide, chloride, and sulfate at the three gages were .899 or larger.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sir20105120","collaboration":"In cooperation with the City of Dallas Water Utilities Division","usgsCitation":"Baldys, S., Churchill, C.J., Mobley, C.A., and Coffman, D.K., 2010, Bromide, Chloride, and Sulfate Concentrations and Loads at U.S. Geological Survey Streamflow-Gaging Stations 07331600 Red River at Denison Dam, 07335500 Red River at Arthur City, and 07336820 Red River near DeKalb, Texas, 2007-09: U.S. Geological Survey Scientific Investigations Report 2010-5120, vi, 30 p., https://doi.org/10.3133/sir20105120.","productDescription":"vi, 30 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science 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camobley@usgs.gov","orcid":"https://orcid.org/0000-0002-1599-4760","contributorId":4098,"corporation":false,"usgs":true,"family":"Mobley","given":"Craig","email":"camobley@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":305520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coffman, David K.","contributorId":27969,"corporation":false,"usgs":true,"family":"Coffman","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":305521,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98490,"text":"fs20103025 - 2010 - U.S. Geological Survey Streamgage Operation and Maintenance Cost Evaluation...from the National Streamflow Information Program","interactions":[],"lastModifiedDate":"2012-02-02T00:14:43","indexId":"fs20103025","displayToPublicDate":"2010-07-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3025","title":"U.S. Geological Survey Streamgage Operation and Maintenance Cost Evaluation...from the National Streamflow Information Program","docAbstract":"To help meet the goal of providing earth-science information to the Nation, the U.S. Geological Survey (USGS) operates and maintains the largest streamgage network in the world, with over 7,600 active streamgages in 2010. This network is operated in cooperation with over 850 Federal, tribal, State, and local funding partners. The streamflow information provided by the USGS is used for the protection of life and property; for the assessment, allocation, and management of water resources; for the design of roads, bridges, dams, and water works; for the delineation of flood plains; for the assessment and evaluation of habitat; for understanding the effects of land-use, water-use, and climate changes; for evaluation of water quality; and for recreational safety and enjoyment.\r\n\r\nUSGS streamgages are managed and operated to rigorous national standards, allowing analyses of data from streamgages in different areas and spanning long time periods, some with more than 100 years of data. About 90 percent of USGS streamgages provide streamflow information real-time on the web. Physical measurements of streamflow are made at streamgages multiple times a year, depending on flow conditions, to ensure the highest level of accuracy possible. In addition, multiple reviews and quality assurance checks are performed before the data is finalized.\r\n\r\nIn 2006, the USGS reviewed all activities, operations, equipment, support, and costs associated with operating and maintaining a streamgage program (Norris and others, 2008). A summary of the percentages of costs associated with activities required to operate a streamgage on an annual basis are presented in figure 1. This information represents what it costs to fund a 'typical' USGS streamgage and how those funds are utilized. It should be noted that some USGS streamgages have higher percentages for some categories than do others depending on location and conditions. Forty-one percent of the funding for the typical USGS streamgage is for labor costs of the USGS staff responsible for the measurement of the streamflow in the field and the time in the office to quality assure and finalize the data. It is reasonable that funding for the entire national streamgage network would closely follow the percentages shown in figure 1 as to how the funds are invested in the network. However, actual costs are specific to a particular streamgage and can vary substantially depending on location and operational issues.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103025","usgsCitation":"Norris, J.M., 2010, U.S. Geological Survey Streamgage Operation and Maintenance Cost Evaluation...from the National Streamflow Information Program: U.S. Geological Survey Fact Sheet 2010-3025, 2 p., https://doi.org/10.3133/fs20103025.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":444,"text":"National Streamflow Information Program","active":false,"usgs":true}],"links":[{"id":125850,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3025.jpg"},{"id":13876,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3025/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e4e4b07f02db5e60eb","contributors":{"authors":[{"text":"Norris, J. Michael 0000-0002-7480-0161 mnorris@usgs.gov","orcid":"https://orcid.org/0000-0002-7480-0161","contributorId":1625,"corporation":false,"usgs":true,"family":"Norris","given":"J.","email":"mnorris@usgs.gov","middleInitial":"Michael","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305502,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98496,"text":"ofr20101096 - 2010 - Floods of May and June 2008 in Iowa","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"ofr20101096","displayToPublicDate":"2010-07-03T00:00:00","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":"2010-1096","title":"Floods of May and June 2008 in Iowa","docAbstract":"An unusually wet winter and spring of 2007 to 2008 resulted in extremely wet antecedent conditions throughout most of Iowa. Rainfall of 5 to 15 inches was observed in eastern Iowa during May 2008, and an additional 5 to 15 inches of rain was observed throughout most of Iowa in June. Because of the severity of the May and June 2008 flooding, the U.S. Geological Survey, in cooperation with other Federal, State, and local agencies, has summarized the meteorological and hydrological conditions leading to the flooding, compiled flood-peak stages and discharges, and estimated revised flood probabilities for 62 selected streamgages.\r\n\r\nRecord peak discharges or flood probabilities of 1 percent or smaller (100-year flooding or greater) occurred at more than 60 streamgage locations, particularly in eastern Iowa. Cedar Rapids, Decorah, Des Moines, Iowa City, Mason City, and Waterloo were among the larger urban areas affected by this flooding. High water and flooding in small, headwater streams in north-central and eastern Iowa, particularly in June, combined and accumulated in large, mainstem rivers and resulted in flooding of historic proportions in the Cedar and Iowa Rivers. Previous flood-peak discharges at many locations were exceeded by substantial amounts, in some cases nearly doubling the previous record peak discharge at locations where more than 100 years of streamflow record are available.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101096","collaboration":"Prepared in cooperation with various Federal, State, and local agencies","usgsCitation":"Buchmiller, R.C., and Eash, D.A., 2010, Floods of May and June 2008 in Iowa: U.S. Geological Survey Open-File Report 2010-1096, iv, 10 p., https://doi.org/10.3133/ofr20101096.","productDescription":"iv, 10 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-05-01","temporalEnd":"2008-06-30","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":125854,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1096.jpg"},{"id":13884,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1096/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.63333333333334,40.38333333333333 ], [ -96.63333333333334,43.5 ], [ -90.13333333333334,43.5 ], [ -90.13333333333334,40.38333333333333 ], [ -96.63333333333334,40.38333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d9e4b07f02db5dfa0f","contributors":{"authors":[{"text":"Buchmiller, Robert C.","contributorId":72372,"corporation":false,"usgs":true,"family":"Buchmiller","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":305528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eash, David A. 0000-0002-2749-8959 daeash@usgs.gov","orcid":"https://orcid.org/0000-0002-2749-8959","contributorId":1887,"corporation":false,"usgs":true,"family":"Eash","given":"David","email":"daeash@usgs.gov","middleInitial":"A.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305527,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98488,"text":"sir20105102 - 2010 - Simulation of Groundwater Mounding Beneath Hypothetical Stormwater Infiltration Basins","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105102","displayToPublicDate":"2010-07-02T00:00:00","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":"2010-5102","title":"Simulation of Groundwater Mounding Beneath Hypothetical Stormwater Infiltration Basins","docAbstract":"Groundwater mounding occurs beneath stormwater management structures designed to infiltrate stormwater runoff. Concentrating recharge in a small area can cause groundwater mounding that affects the basements of nearby homes and other structures. Methods for quantitatively predicting the height and extent of groundwater mounding beneath and near stormwater\r\n\r\nFinite-difference groundwater-flow simulations of infiltration from hypothetical stormwater infiltration structures (which are typically constructed as basins or dry wells) were done for 10-acre and 1-acre developments. Aquifer and stormwater-runoff characteristics in the model were changed to determine which factors are most likely to have the greatest effect on simulating the maximum height and maximum extent of groundwater mounding. Aquifer characteristics that were changed include soil permeability, aquifer thickness, and specific yield. Stormwater-runoff variables that were changed include magnitude of design storm, percentage of impervious area, infiltration-structure depth (maximum depth of standing water), and infiltration-basin shape. Values used for all variables are representative of typical physical conditions and stormwater management designs in New Jersey but do not include all possible values. Results are considered to be a representative, but not all-inclusive, subset of likely results.\r\n\r\nMaximum heights of simulated groundwater mounds beneath stormwater infiltration structures are the most sensitive to (show the greatest change with changes to) soil permeability. The maximum height of the groundwater mound is higher when values of soil permeability, aquifer thickness, or specific yield are decreased or when basin depth is increased or the basin shape is square (and values of other variables are held constant). Changing soil permeability, aquifer thickness, specific yield, infiltration-structure depth, or infiltration-structure shape does not change the volume of water infiltrated, it changes the shape or height of the groundwater mound resulting from the infiltration. An aquifer with a greater soil permeability or aquifer thickness has an increased ability to transmit water away from the source of infiltration than aquifers with lower soil permeability; therefore, the maximum height of the groundwater mound will be lower, and the areal extent of mounding will be larger.\r\n\r\nThe maximum height of groundwater mounding is higher when values of design storm magnitude or percentage of impervious cover (from which runoff is captured) are increased (and other variables are held constant) because the total volume of water to be infiltrated is larger. The larger the volume of infiltrated water the higher the head required to move that water away from the source of recharge if the physical characteristics of the aquifer are unchanged. The areal extent of groundwater mounding increases when soil permeability, aquifer thickness, design-storm magnitude, or percentage of impervious cover are increased (and values of other variables are held constant).\r\n\r\nFor 10-acre sites, the maximum heights of the simulated groundwater mound range from 0.1 to 18.5 feet (ft). The median of the maximum-height distribution from 576 simulations is 1.8 ft. The maximum areal extent (measured from the edge of the infiltration basins) of groundwater mounding of 0.25-ft ranges from 0 to 300 ft with a median of 51 ft for 576 simulations. Stormwater infiltration at a 1-acre development was simulated, incorporating the assumption that the hypothetical infiltration structure would be a pre-cast concrete dry well having side openings and an open bottom. The maximum heights of the simulated groundwater-mounds range from 0.01 to 14.0 ft. The median of the maximum-height distribution from 432 simulations is 1.0 ft. The maximum areal extent of groundwater mounding of 0.25-ft ranges from 0 to 100 ft with a median of 10 ft for 432 simulations.\r\n\r\nSimulated height and extent of groundwater mounding associ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105102","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Carleton, G.B., 2010, Simulation of Groundwater Mounding Beneath Hypothetical Stormwater Infiltration Basins: U.S. Geological Survey Scientific Investigations Report 2010-5102, vii, 64 p.; 1 Appendix (xls), https://doi.org/10.3133/sir20105102.","productDescription":"vii, 64 p.; 1 Appendix (xls)","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":125556,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5102.jpg"},{"id":13874,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5102/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48d1e4b07f02db54762a","contributors":{"authors":[{"text":"Carleton, Glen B. 0000-0002-7666-4407 carleton@usgs.gov","orcid":"https://orcid.org/0000-0002-7666-4407","contributorId":3795,"corporation":false,"usgs":true,"family":"Carleton","given":"Glen","email":"carleton@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":305498,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70199500,"text":"70199500 - 2010 - Responses of benthic macroinvertebrates to environmental changes associated with urbanization in nine metropolitan areas","interactions":[],"lastModifiedDate":"2021-01-13T16:16:40.71817","indexId":"70199500","displayToPublicDate":"2010-07-01T15:02:32","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Responses of benthic macroinvertebrates to environmental changes associated with urbanization in nine metropolitan areas","docAbstract":"<p><span>Responses of benthic macroinvertebrates along gradients of urban intensity were investigated in nine metropolitan areas across the United States. Invertebrate assemblages in metropolitan areas where forests or shrublands were being converted to urban land were strongly related to urban intensity. In metropolitan areas where agriculture and grazing lands were being converted to urban land, invertebrate assemblages showed much weaker or nonsignificant relations with urban intensity because sites with low urban intensity were already degraded by agriculture. Ordination scores, the number of EPT taxa, and the mean pollution‐tolerance value of organisms at a site were the best indicators of changes in assemblage condition. Diversity indices, functional groups, behavior, and dominance metrics were not good indicators of urbanization. Richness metrics were better indicators of urban effects than were abundance metrics, and qualitative samples collected from multiple habitats gave similar results to those of single habitat quantitative samples (riffles or woody snags) in all metropolitan areas. Changes in urban intensity were strongly correlated with a set of landscape variables that was consistent across all metropolitan areas. In contrast, the instream environmental variables that were strongly correlated with urbanization and invertebrate responses varied among metropolitan areas. The natural environmental setting determined the biological, chemical, and physical instream conditions upon which urbanization acts and dictated the differences in responses to urbanization among metropolitan areas. Threshold analysis showed little evidence for an initial period of resistance to urbanization. Instead, assemblages were degraded at very low levels of urbanization, and response rates were either similar across the gradient or higher at low levels of urbanization. Levels of impervious cover that have been suggested as protective of streams (5–10%) were associated with significant assemblage degradation and were not protective.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/08-1311.1","usgsCitation":"Cuffney, T.F., Brightbill, R.A., May, J., and Waite, I.R., 2010, Responses of benthic macroinvertebrates to environmental changes associated with urbanization in nine metropolitan areas: Ecological Applications, v. 20, no. 5, p. 1384-1401, https://doi.org/10.1890/08-1311.1.","productDescription":"18 p.","startPage":"1384","endPage":"1401","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":357502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Colorado, Georgia, Massachusetts, North Carolina, Oregon, Texas, Utah, Wisconsin","city":"Atlanta, Birmingham, 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0000-0003-4683-9656 rabright@usgs.gov","orcid":"https://orcid.org/0000-0003-4683-9656","contributorId":618,"corporation":false,"usgs":true,"family":"Brightbill","given":"Robin","email":"rabright@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":184174,"corporation":false,"usgs":true,"family":"May","given":"Jason T.","email":"jasonmay@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":745603,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048508,"text":"70048508 - 2010 - Occurrence of herbicides and pharmaceutical and personal care products in surface water and groundwater around Liberty Bay, Puget Sound, Washington","interactions":[],"lastModifiedDate":"2014-08-20T08:49:11","indexId":"70048508","displayToPublicDate":"2010-07-01T13:43:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of herbicides and pharmaceutical and personal care products in surface water and groundwater around Liberty Bay, Puget Sound, Washington","docAbstract":"Organic contaminants, such as pharmaceuticals and personal care products (PPCPs), pose a risk to water quality and the health of ecosystems. This study was designed to determine if a coastal community lacking point sources, such as waste water treatment plant effluent, could release PPCPs, herbicides, and plasticizers at detectable levels to their surface water and groundwater. Research was conducted in Liberty Bay, an embayment within Puget Sound, where 70% of the population (∼10,000) uses septic systems. Sampling included collection of groundwater and surface water with grab samples and the use of polar organic chemical integrative samplers (POCIS). We analyzed for a broad spectrum of 25 commonly used compounds, including PPCPs, herbicides, and a flame retardant. Twelve contaminants were detected at least once; only N,N-diethyl-meta-toluamide, caffeine, and mecoprop, a herbicide not attributed to septic systems, were detected in more than one grab sample. The use of POCIS was essential because contaminants were present at very low levels (nanograms), which is common for PPCPs in general, but particularly so in such a small community. The use of POCIS allowed the detection of five compounds that were not present in grab samples. Data suggest that the community is contaminating local water with PPCPs; this effect is likely to increase as the population and product usage increase. The results presented here are a first step toward assessing the transport of herbicides and PPCPs into this coastal system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2009.0189","usgsCitation":"Dougherty, J.A., Swarzenski, P.W., Dinicola, R., and Reinhard, M., 2010, Occurrence of herbicides and pharmaceutical and personal care products in surface water and groundwater around Liberty Bay, Puget Sound, Washington: Journal of Environmental Quality, v. 39, no. 4, p. 1173-1180, https://doi.org/10.2134/jeq2009.0189.","productDescription":"8 p.","startPage":"1173","endPage":"1180","numberOfPages":"8","ipdsId":"IP-021878","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":488158,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2009.0189","text":"Publisher Index Page"},{"id":278273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278272,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2009.0189"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.66,47.68 ], [ -122.66,47.76 ], [ -122.56,47.76 ], [ -122.56,47.68 ], [ -122.66,47.68 ] ] ] } } ] }","volume":"39","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52625867e4b079a99629a10c","contributors":{"authors":[{"text":"Dougherty, Jennifer A.","contributorId":6114,"corporation":false,"usgs":true,"family":"Dougherty","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinicola, Richard S. 0000-0003-4222-294X dinicola@usgs.gov","orcid":"https://orcid.org/0000-0003-4222-294X","contributorId":352,"corporation":false,"usgs":true,"family":"Dinicola","given":"Richard S.","email":"dinicola@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reinhard, Martin","contributorId":87060,"corporation":false,"usgs":true,"family":"Reinhard","given":"Martin","affiliations":[],"preferred":false,"id":484883,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70200010,"text":"70200010 - 2010 - Pharmaceutical formulation facilities as sources of opioids and other pharmaceuticals to wastewater treatment plant effluents","interactions":[],"lastModifiedDate":"2021-05-27T18:02:23.725934","indexId":"70200010","displayToPublicDate":"2010-07-01T12:46:09","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Pharmaceutical formulation facilities as sources of opioids and other pharmaceuticals to wastewater treatment plant effluents","docAbstract":"<p>Facilities involved in the manufacture of pharmaceutical products are an under-investigated source of pharmaceuticals to the environment. Between 2004 and 2009, 35 to 38 effluent samples were collected from each of three wastewater treatment plants (WWTPs) in New York and analyzed for seven pharmaceuticals including opioids and muscle relaxants. Two WWTPs (NY2 and NY3) receive substantial flows (&gt;20% of plant flow) from pharmaceutical formulation facilities (PFF) and one (NY1) receives no PFF flow. Samples of effluents from 23 WWTPs across the United States were analyzed once for these pharmaceuticals as part of a national survey. Maximum pharmaceutical effluent concentrations for the national survey and NY1 effluent samples were generally &lt;1 microg/L. Four pharmaceuticals (methadone, oxycodone, butalbital, and metaxalone) in samples of NY3 effluent had median concentrations ranging from 3.4 to &gt;400 microg/L. Maximum concentrations of oxycodone (1700 microg/L) and metaxalone (3800 microg/L) in samples from NY3 effluent exceeded 1000 microg/L. Three pharmaceuticals (butalbital, carisoprodol, and oxycodone) in samples of NY2 effluent had median concentrations ranging from 2 to 11 microg/L. These findings suggest that current manufacturing practices at these PFFs can result in pharmaceuticals concentrations from 10 to 1000 times higher than those typically found in WWTP effluents.<br></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es100356f","usgsCitation":"Phillips, P.J., Smith, S.G., Kolpin, D.W., Stinson, B.W., Zaugg, S.D., Buxton, H.T., Furlong, E.T., and Esposito, K., 2010, Pharmaceutical formulation facilities as sources of opioids and other pharmaceuticals to wastewater treatment plant effluents: Environmental Science & Technology, v. 44, no. 13, p. 4910-4916, https://doi.org/10.1021/es100356f.","productDescription":"7 p.","startPage":"4910","endPage":"4916","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475695,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2893609","text":"Publisher Index Page"},{"id":358248,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"13","noUsgsAuthors":false,"publicationDate":"2010-06-04","publicationStatus":"PW","scienceBaseUri":"5c10c6b6e4b034bf6a7f4673","contributors":{"authors":[{"text":"Phillips, Patrick J. 0000-0001-5915-2015 pjphilli@usgs.gov","orcid":"https://orcid.org/0000-0001-5915-2015","contributorId":172757,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick","email":"pjphilli@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Steven G. sgsmith@usgs.gov","contributorId":1560,"corporation":false,"usgs":true,"family":"Smith","given":"Steven","email":"sgsmith@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":747735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stinson, Brooke W.","contributorId":208570,"corporation":false,"usgs":false,"family":"Stinson","given":"Brooke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":747737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zaugg, Steven D. sdzaugg@usgs.gov","contributorId":768,"corporation":false,"usgs":true,"family":"Zaugg","given":"Steven","email":"sdzaugg@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":747738,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buxton, Herbert T. hbuxton@usgs.gov","contributorId":1911,"corporation":false,"usgs":true,"family":"Buxton","given":"Herbert","email":"hbuxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":747739,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":747740,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Esposito, Kathleen","contributorId":21835,"corporation":false,"usgs":true,"family":"Esposito","given":"Kathleen","email":"","affiliations":[],"preferred":false,"id":747741,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70056500,"text":"70056500 - 2010 - Effects of climate change on saltwater intrusion at Hilton Head Island, SC. U.S.A.","interactions":[],"lastModifiedDate":"2014-05-28T12:48:43","indexId":"70056500","displayToPublicDate":"2010-07-01T12:41:17","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effects of climate change on saltwater intrusion at Hilton Head Island, SC. U.S.A.","docAbstract":"Sea‐level rise and changes in precipitation patterns may contribute to the occurrence and affect the rate of saltwater contamination in the Hilton Head Island, South Carolina area. To address the effects of climate change on saltwater intrusion, a threedimensional, finite‐element, variable‐density, solute‐transport model was developed to simulate different rates of sea‐level rise and variation in onshore freshwater recharge. Model simulation showed that the greatest effect on the existing saltwater plume occurred from reducing recharge, suggesting recharge may be a more important consideration in saltwater intrusion management than estimated rates of sea‐level rise. Saltwater intrusion management would benefit from improved constraints on recharge rates by using model‐independent, local precipitation and evapotranspiration data, and improving estimates of confining unit hydraulic properties.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 21st Salt Water Intrusion Meeting, Azores, Portugal, 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","usgsCitation":"Payne, D.F., 2010, Effects of climate change on saltwater intrusion at Hilton Head Island, SC. U.S.A., <i>in</i> Proceedings of the 21st Salt Water Intrusion Meeting, Azores, Portugal, 2010, p. 293-296.","productDescription":"4 p.","startPage":"293","endPage":"296","numberOfPages":"4","ipdsId":"IP-021028","costCenters":[{"id":286,"text":"Florida Water Science Center-Ft. Lauderdale","active":false,"usgs":true}],"links":[{"id":287673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279230,"type":{"id":15,"text":"Index Page"},"url":"https://www.swim-site.nl/pdf/swim21.html"}],"country":"United States","state":"South Carolina","otherGeospatial":"Hilton Head Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.947831,32.034511 ], [ -80.947831,32.370965 ], [ -80.599917,32.370965 ], [ -80.599917,32.034511 ], [ -80.947831,32.034511 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53870567e4b0aa26cd7b539e","contributors":{"authors":[{"text":"Payne, Dorothy F.","contributorId":88825,"corporation":false,"usgs":true,"family":"Payne","given":"Dorothy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":486572,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70200006,"text":"70200006 - 2010 - Antibiotic fate and transport in three effluent-dominated Ozark streams","interactions":[],"lastModifiedDate":"2018-10-10T11:11:12","indexId":"70200006","displayToPublicDate":"2010-07-01T11:10:31","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Antibiotic fate and transport in three effluent-dominated Ozark streams","docAbstract":"<p><span>Antibiotic&nbsp;transport downstream from a&nbsp;wastewater treatment plant&nbsp;effluent&nbsp;discharge was evaluated along stream reaches on Mud Creek, Spring Creek, and Decatur Branch in northwestern Arkansas, USA. Water and streambed samples were collected during August and September 2006 and analyzed for multiple antibiotics representing five classes (beta-lactams, macrolides,&nbsp;quinolones,&nbsp;sulfonamides, and tetracyclines). Antibiotics within the classes macrolides, quinolones, and sulfonamides were detected in the water column at all three stream reaches. Several of these same antibiotics, as well as antibiotics from the class tetracycline, were measured in streambed material at quantities significantly greater than those observed in the water column. Pseudo-partitioning coefficients ranged from 4 to &gt;8000</span><span>&nbsp;</span><span>L</span><span>&nbsp;</span><span>kg</span><sup>−1</sup><span>. Most of the antibiotics studied were significantly retained in the reaches at Mud Creek and Spring Creek and traveled kilometer-scale distances (</span><i>S</i><sub>net</sub><span>, 3.3–20.2</span><span>&nbsp;</span><span>km) with low uptake velocities (</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>v</mi><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>f-net</mtext></mrow></msub></mrow></math>\"><span class=\"MJX_Assistive_MathML\">vf-net</span></span></span><span>, 2.9–16.1</span><span>&nbsp;</span><span>×</span><span>&nbsp;</span><span>10</span><sup>−6</sup><span>&nbsp;</span><span>m</span><span>&nbsp;</span><span>s</span><sup>−1</sup><span>) and rates (</span><i>U</i><sub>net</sub><span>&nbsp;0.01–37.9</span><span>&nbsp;</span><span>×</span><span>&nbsp;</span><span>10</span><sup>−6</sup><span>&nbsp;</span><span>μg</span><span>&nbsp;</span><span>m</span><sup>−2</sup><span>&nbsp;</span><span>s</span><sup>−1</sup><span>). Some antibiotics increased in concentration downstream from the effluent discharge at Decatur Branch, suggesting possible release from within the fluvial&nbsp;channel&nbsp;or additional sources along the stream reach. In general, antibiotics traveled kilometer-scale distances before significant dilution occurred through in-stream processes (e.g.,&nbsp;advection, dispersion,&nbsp;sorption, uptake and/or degradation) within the fluvial channel of these effluent-dominated streams.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2010.04.009","usgsCitation":"Massey, L.B., Haggard, B.E., Galloway, J.M., Loftin, K.A., Meyer, M.T., and Green, W.R., 2010, Antibiotic fate and transport in three effluent-dominated Ozark streams: Ecological Engineering, v. 36, no. 7, p. 930-938, https://doi.org/10.1016/j.ecoleng.2010.04.009.","productDescription":"9 p.","startPage":"930","endPage":"938","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":358243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Mud Creek, Spring Creek, Decatur Branch","volume":"36","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10c6b6e4b034bf6a7f4676","contributors":{"authors":[{"text":"Massey, Leslie B.","contributorId":208565,"corporation":false,"usgs":false,"family":"Massey","given":"Leslie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":747719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haggard, Brian E.","contributorId":20299,"corporation":false,"usgs":true,"family":"Haggard","given":"Brian","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":747720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":747722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":747723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Green, W. Reed","contributorId":87886,"corporation":false,"usgs":true,"family":"Green","given":"W.","email":"","middleInitial":"Reed","affiliations":[],"preferred":false,"id":747724,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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