{"pageNumber":"624","pageRowStart":"15575","pageSize":"25","recordCount":69037,"records":[{"id":70045682,"text":"70045682 - 2013 - Detecting drawdowns masked by environmental stresses with water-level models","interactions":[],"lastModifiedDate":"2015-10-26T13:48:22","indexId":"70045682","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Detecting drawdowns masked by environmental stresses with water-level models","docAbstract":"<p>Detecting and quantifying small drawdown at observation wells distant from the pumping well greatly expands the characterized aquifer volume. However, this detection is often obscured by water level fluctuations such as barometric and tidal effects. A reliable analytical approach for distinguishing drawdown from nonpumping water-level fluctuations is presented and tested here. Drawdown is distinguished by analytically simulating all pumping and nonpumping water-level stresses simultaneously during the period of record. Pumping signals are generated with Theis models, where the pumping schedule is translated into water-level change with the Theis solution. This approach closely matched drawdowns simulated with a complex three-dimensional, hypothetical model and reasonably estimated drawdowns from an aquifer test conducted in a complex hydrogeologic system. Pumping-induced changes generated with a numerical model and analytical Theis model agreed (RMS as low as 0.007 m) in cases where pumping signals traveled more than 1 km across confining units and fault structures. Maximum drawdowns of about 0.05 m were analytically estimated from field investigations where environmental fluctuations approached 0.2&thinsp;m during the analysis period.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gwat.12042","usgsCitation":"Garcia, C., Halford, K.J., and Fenelon, J., 2013, Detecting drawdowns masked by environmental stresses with water-level models: Ground Water, v. 51, no. 3, p. 322-332, https://doi.org/10.1111/gwat.12042.","productDescription":"11 p.","startPage":"322","endPage":"332","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033308","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":473844,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12042","text":"Publisher Index Page"},{"id":271727,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271726,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12042"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-07","publicationStatus":"PW","scienceBaseUri":"51837ce4e4b0a21483941a41","contributors":{"authors":[{"text":"Garcia, C.A.","contributorId":90128,"corporation":false,"usgs":true,"family":"Garcia","given":"C.A.","affiliations":[],"preferred":false,"id":478044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halford, K. J. 0000-0002-7322-1846","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":61077,"corporation":false,"usgs":true,"family":"Halford","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":478043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fenelon, J.M.","contributorId":100430,"corporation":false,"usgs":true,"family":"Fenelon","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":478045,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045761,"text":"ds763 - 2013 - High-water marks from flooding in Lake Champlain from April through June 2011 and Tropical Storm Irene in August 2011 in Vermont","interactions":[],"lastModifiedDate":"2026-05-19T16:27:29.796668","indexId":"ds763","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"763","title":"High-water marks from flooding in Lake Champlain from April through June 2011 and Tropical Storm Irene in August 2011 in Vermont","docAbstract":"The U.S. Geological Survey, in cooperation with the Federal Emergency Management Agency, identified high-water marks after two floods in Vermont during 2011. Following a snowy winter, new monthly precipitation records were set in Burlington, Vermont, in April and May 2011, causing extensive flooding from April through June. The spring 2011 flooding resulted in a new record for stage (103.27 feet, referenced to the National Geodetic Vertical Datum of 1929) at the Lake Champlain at Burlington, Vt., gaging station (04294500). During August 28 and 29, 2011, tropical storm Irene delivered rainfall totals of 3 to more than 7 inches throughout Vermont, which resulted in extensive flooding and new streamflow records at nine streamgaging stations. Four presidential declarations of disaster were made following the 2011 flood events in Vermont.\n\nThirty-nine high-water marks were identified and flagged to mark the highest levels of Lake Champlain from the May 2011 flooding, and 1,138 high-water marks were identified and flagged along Vermont rivers after flooding from tropical storm Irene in August 2011. Seventy-four percent of the high-water marks that were flagged were later found and surveyed to the North American Vertical Datum of 1988.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds763","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Medalie, L., and Olson, S., 2013, High-water marks from flooding in Lake Champlain from April through June 2011 and Tropical Storm Irene in August 2011 in Vermont: U.S. Geological Survey Data Series 763, iv, 11 p.; Appendix Readme File; 3 Appendixes, https://doi.org/10.3133/ds763.","productDescription":"iv, 11 p.; Appendix Readme File; 3 Appendixes","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":504534,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98462.htm","linkFileType":{"id":5,"text":"html"}},{"id":271777,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/763/pdf/ds763.pdf"},{"id":271779,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/763/appendixes_final/ds763_appendix1_Dewberry.pdf"},{"id":271782,"rank":7,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds763.gif"},{"id":271778,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/763/appendixes_final/README.txt"},{"id":271776,"rank":5,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/763/"},{"id":271780,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/763/appendixes_final/ds763_appendix2.xls"},{"id":271781,"rank":1,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/763/appendixes_final/ds763_appendix3.kmz"}],"country":"United States","state":"Vermont","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.4305,42.7268 ], [ -73.4305,45.0167 ], [ -71.465,45.0167 ], [ -71.465,42.7268 ], [ -73.4305,42.7268 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51837ce7e4b0a21483941a51","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olson, S.A.","contributorId":58681,"corporation":false,"usgs":true,"family":"Olson","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":478309,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045747,"text":"sir20135026 - 2013 - Hydrogeology and water quality of the Dublin and Midville aquifer systems at Waynesboro, Burke County, Georgia, 2011","interactions":[],"lastModifiedDate":"2017-01-17T20:37:46","indexId":"sir20135026","displayToPublicDate":"2013-05-02T00:00:00","publicationYear":"2013","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":"2013-5026","title":"Hydrogeology and water quality of the Dublin and Midville aquifer systems at Waynesboro, Burke County, Georgia, 2011","docAbstract":"The hydrogeology and water quality of the Dublin and Midville aquifer systems were characterized in the City of Waynesboro area in Burke County, Georgia, based on geophysical and drillers’ logs, flowmeter surveys, a 24-houraquifer test, and the collection and chemical analysis of water samples in a newly constructed well. At the test site, the Dublin aquifer system consists of interlayered sands and clays between depths of 396 and 691 feet, and the Midville aquifer system consists of a sandy clay layer overlying a sand and gravel layer between depths of 728 and 936 feet. The new well was constructed with three screened intervals in the Dublin aquifer system and four screened intervals in the Midville aquifer system. Wellbore-flowmeter testing at a pumping rate of 1,000 gallons per minute indicated that 52.2 percent of the total flow was from the shallower Dublin aquifer system with the remaining 47.8 percent from the deeper Midville aquifer system. The lower part of the lower Midville aquifer (900 to 930 feet deep), contributed only 0.1 percent of the total flow.\n\nHydraulic properties of the two aquifer systems were estimated using data from two wellbore-flowmeter surveys and a 24-hour aquifer test. Estimated values of transmissivity for the Dublin and Midville aquifer systems were 2,000 and 1,000 feet squared per day, respectively. The upper and lower Dublin aquifers have a combined thickness of about 150 feet and the horizontal hydraulic conductivity of the Dublin aquifer system averages 10 feet per day. The upper Midville aquifer, lower Midville confining unit, and lower Midville aquifer have a combined thickness of about 210 feet, and the horizontal hydraulic conductivity of the Midville aquifer system averages 6 feet per day. Storage coefficient of the Dublin aquifer system, computed using the Theis method on water-level data from one observation well, was estimated to be 0.0003. With a thickness of about 150 feet, the specific storage of the Dublin aquifer system averages about 2×10-6 per foot.\n\nWater quality of the Dublin and Midville aquifer systems was characterized during the aquifer test on the basis of water samples collected from composite well flow originating from five depths in the completed production well during the aquifer test. Samples were analyzed for total dissolved solids, specific conductance, pH, alkalinity, and major ions. Water-quality results from composite samples, known flow contribution from individual screens, and a mixing equation were used to calculate water-quality values for sample intervals between sample depths or below the bottom sample depth. With the exception of iron and manganese, constituent concentrations of water from each of the sampled intervals and total flow from the well were within U.S. Environmental Protection Agency primary and secondary drinking-water standards. Water from the bottommost sample interval in the lower part of the lower Midville aquifer (900 to 930 feet) contained manganese and iron concentrations of 59.1 and 1,160 micrograms per liter, respectively, which exceeded secondary drinking-water standards. Because this interval contributed only 0.1 percent of the total flow to the well, water quality of this interval had little effect on the composite well water quality. Two other sample intervals from the Midville aquifer system and the total flow from both aquifer systems contained iron concentrations that slightly exceeded the secondary drinking-water standard of 300 micrograms per liter.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135026","collaboration":"Prepared in cooperation with the City of Waynesboro, Georgia","usgsCitation":"Gonthier, G., 2013, Hydrogeology and water quality of the Dublin and Midville aquifer systems at Waynesboro, Burke County, Georgia, 2011: U.S. Geological Survey Scientific Investigations Report 2013-5026, vii, 39 p., https://doi.org/10.3133/sir20135026.","productDescription":"vii, 39 p.","numberOfPages":"51","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":271738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135026.gif"},{"id":271736,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5026/"},{"id":271737,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5026/pdf/sir2013-5026.pdf"}],"country":"United States","state":"Georgia","county":"Burke County","city":"Waynesboro","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.037295,33.072069 ], [ -82.037295,33.117787 ], [ -81.991343,33.117787 ], [ -81.991343,33.072069 ], [ -82.037295,33.072069 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51837ce7e4b0a21483941a55","contributors":{"authors":[{"text":"Gonthier, Gerard  0000-0003-4078-8579 gonthier@usgs.gov","orcid":"https://orcid.org/0000-0003-4078-8579","contributorId":3141,"corporation":false,"usgs":true,"family":"Gonthier","given":"Gerard ","email":"gonthier@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478240,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048817,"text":"70048817 - 2013 - Great Lakes rivermouths: a primer for managers","interactions":[],"lastModifiedDate":"2014-06-20T14:08:32","indexId":"70048817","displayToPublicDate":"2013-05-01T12:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Great Lakes rivermouths: a primer for managers","docAbstract":"<p>Between the North American Great Lakes and their tributaries are the places where the confluence of river and lake waters creates a distinct ecosystem: the rivermouth ecosystem. Human development has often centered around these rivermouths, in part, because they provide a rich array of ecosystem services. Not surprisingly, centuries of intense human activity have led to substantial pressures on, and alterations to, these ecosystems, often diminishing or degrading their ecological functions and associated ecological services. Many Great Lakes rivermouths are the focus of intense restoration efforts. For example, 36 of the active Great Lakes Areas of Concern (AOCs) are rivermouths or areas that include one or more rivermouths.</p>\n<br/>\n<p>Historically, research of rivermouth ecosystems has been piecemeal, focused on the Great Lakes proper or on the upper reaches of tributaries, with little direct study of the rivermouth itself. Researchers have been divided among disciplines, agencies and institutions; and they often work independently and use disparate venues to communicate their work. Management has also been fragmented with a focus on smaller, localized, sub-habitat units and socio-political or economic elements, rather than system-level consideration.</p>\n<br/>\n<p>This Primer presents the case for a more holistic approach to rivermouth science and management that can enable restoration of ecosystem services with multiple benefits to humans and the Great Lakes ecosystem. A conceptual model is presented with supporting text that describes the structures and processes common to all rivermouths, substantiating the case for treating these ecosystems as an identifiable class.<sup>1</sup> Ecological services provided by rivermouths and changes in how humans value those services over time are illustrated through case studies of two Great Lakes rivermouths—the St. Louis River and the Maumee River. Specific ecosystem services are identified in italics throughout this Primer and follow definitions described by the Millennium Ecosystem Assessment (Table1). Collectively, this primer synthesizes existing information in a new way that aims to support management of rivermouths as distinct and important ecosystems. The development and management decisions made around rivermouths today will shape the future of these ecosystems, and the human communities within them, well into the future.</p>\n<br/>\n<p><sup>1</sup> The information presented in this paper was derived from discussions and draft documents of the Great Lakes Rivermouth Collaboratory. The Great Lakes Rivermouth Collaboratory was established by the U.S. Geological Survey's Great Lakes Science Center (USGS-GLSC) in collaboration with the Great Lakes Commission to engage the Great Lakes scientific community in sharing and documenting knowledge about freshwater rivermouth ecosystems. For more information, see http://www.glc.org/habitat/Rivermouth-Collaboratory.html.</p>","language":"English","publisher":"Great Lakes Commission","usgsCitation":"Pebbles, V., Larson, J., and Seelbach, P., 2013, Great Lakes rivermouths: a primer for managers, 19 p.","productDescription":"19 p.","numberOfPages":"19","ipdsId":"IP-045290","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":279180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada;United States","otherGeospatial":"Great Lakes","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96afe4b0c629af44ddb6","contributors":{"editors":[{"text":"Pebbles, Victoria vpebbles@usgs.gov","contributorId":5633,"corporation":false,"usgs":true,"family":"Pebbles","given":"Victoria","email":"vpebbles@usgs.gov","affiliations":[],"preferred":true,"id":509625,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Larson, James","contributorId":50440,"corporation":false,"usgs":true,"family":"Larson","given":"James","affiliations":[],"preferred":false,"id":509627,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Seelbach, Paul","contributorId":8756,"corporation":false,"usgs":true,"family":"Seelbach","given":"Paul","affiliations":[],"preferred":false,"id":509626,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Pebbles, Victoria vpebbles@usgs.gov","contributorId":5633,"corporation":false,"usgs":true,"family":"Pebbles","given":"Victoria","email":"vpebbles@usgs.gov","affiliations":[],"preferred":true,"id":485701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, James","contributorId":50440,"corporation":false,"usgs":true,"family":"Larson","given":"James","affiliations":[],"preferred":false,"id":485703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seelbach, Paul","contributorId":8756,"corporation":false,"usgs":true,"family":"Seelbach","given":"Paul","affiliations":[],"preferred":false,"id":485702,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047207,"text":"70047207 - 2013 - Martian fluvial conglomerates at Gale Crater","interactions":[],"lastModifiedDate":"2018-11-14T10:49:28","indexId":"70047207","displayToPublicDate":"2013-05-01T12:01:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Martian fluvial conglomerates at Gale Crater","docAbstract":"Observations by the Mars Science Laboratory Mast Camera (Mastcam) in Gale crater reveal isolated outcrops of cemented pebbles (2 to 40 millimeters in diameter) and sand grains with textures typical of fluvial sedimentary conglomerates. Rounded pebbles in the conglomerates indicate substantial fluvial abrasion. ChemCam emission spectra at one outcrop show a predominantly feldspathic composition, consistent with minimal aqueous alteration of sediments. Sediment was mobilized in ancient water flows that likely exceeded the threshold conditions (depth 0.03 to 0.9 meter, average velocity 0.20 to 0.75 meter per second) required to transport the pebbles. Climate conditions at the time sediment was transported must have differed substantially from the cold, hyper-arid modern environment to permit aqueous flows across several kilometers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Science","doi":"10.1126/science.1237317","usgsCitation":"Williams, R.M., Grotzinger, J., Dietrich, W.E., Gupta, S., Sumner, D., Wiens, R.C., Mangold, N., Malin, M.C., Edgett, K., Maurice, S., Forni, O., Gasnault, O., Ollila, A., Newsom, H.E., Dromart, G., Palucis, M., Yingst, R., Anderson, R.B., Herkenhoff, K.E., Le Mouélic, S., Goetz, W., Madsen, M., Koefoed, A., Jensen, J., Bridges, J., Schwenzer, S., Lewis, K., Stack, K., Rubin, D., Kah, L., Bell, J., Farmer, J., Sullivan, R., Van Beek, T., Blaney, D., Pariser, O., and Deen, R., 2013, Martian fluvial conglomerates at Gale Crater: Science, v. 340, no. 6136, p. 1068-1072, https://doi.org/10.1126/science.1237317.","productDescription":"5 p.","startPage":"1068","endPage":"1072","numberOfPages":"5","ipdsId":"IP-044465","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":488136,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/129756","text":"External Repository"},{"id":275399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275398,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.1237317"}],"otherGeospatial":"Mars","volume":"340","issue":"6136","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f25421e4b0279fe2e1c009","contributors":{"authors":[{"text":"Williams, Rebecca M.E.","contributorId":34020,"corporation":false,"usgs":true,"family":"Williams","given":"Rebecca","email":"","middleInitial":"M.E.","affiliations":[],"preferred":false,"id":481368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grotzinger, J.P.","contributorId":76053,"corporation":false,"usgs":true,"family":"Grotzinger","given":"J.P.","affiliations":[],"preferred":false,"id":481382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietrich, W. E.","contributorId":47538,"corporation":false,"usgs":false,"family":"Dietrich","given":"W.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gupta, S.","contributorId":18652,"corporation":false,"usgs":true,"family":"Gupta","given":"S.","affiliations":[],"preferred":false,"id":481362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sumner, D.Y.","contributorId":84143,"corporation":false,"usgs":true,"family":"Sumner","given":"D.Y.","email":"","affiliations":[],"preferred":false,"id":481385,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiens, R. C.","contributorId":101893,"corporation":false,"usgs":false,"family":"Wiens","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":481392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mangold, N.","contributorId":101164,"corporation":false,"usgs":true,"family":"Mangold","given":"N.","email":"","affiliations":[],"preferred":false,"id":481388,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Malin, M. C.","contributorId":68830,"corporation":false,"usgs":false,"family":"Malin","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":481380,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edgett, K.S.","contributorId":66028,"corporation":false,"usgs":true,"family":"Edgett","given":"K.S.","email":"","affiliations":[],"preferred":false,"id":481377,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maurice, S.","contributorId":18144,"corporation":false,"usgs":true,"family":"Maurice","given":"S.","email":"","affiliations":[],"preferred":false,"id":481361,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Forni, O.","contributorId":102354,"corporation":false,"usgs":true,"family":"Forni","given":"O.","email":"","affiliations":[],"preferred":false,"id":481393,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gasnault, O.","contributorId":31277,"corporation":false,"usgs":true,"family":"Gasnault","given":"O.","affiliations":[],"preferred":false,"id":481367,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ollila, A.","contributorId":30119,"corporation":false,"usgs":true,"family":"Ollila","given":"A.","email":"","affiliations":[],"preferred":false,"id":481366,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Newsom, Horton E.","contributorId":67689,"corporation":false,"usgs":false,"family":"Newsom","given":"Horton","email":"","middleInitial":"E.","affiliations":[{"id":13339,"text":"University of New Mexico, Albuquerque","active":true,"usgs":false}],"preferred":false,"id":481378,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Dromart, G.","contributorId":7153,"corporation":false,"usgs":true,"family":"Dromart","given":"G.","affiliations":[],"preferred":false,"id":481359,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Palucis, M.C.","contributorId":105991,"corporation":false,"usgs":true,"family":"Palucis","given":"M.C.","affiliations":[],"preferred":false,"id":481395,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Yingst, R.A.","contributorId":101370,"corporation":false,"usgs":false,"family":"Yingst","given":"R.A.","email":"","affiliations":[{"id":24732,"text":"Planetary Science Institute, Tucson","active":true,"usgs":false}],"preferred":false,"id":481389,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":481365,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":481375,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Le Mouélic, S.","contributorId":77819,"corporation":false,"usgs":true,"family":"Le Mouélic","given":"S.","affiliations":[],"preferred":false,"id":481383,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Goetz, W.","contributorId":104258,"corporation":false,"usgs":true,"family":"Goetz","given":"W.","affiliations":[],"preferred":false,"id":481394,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Madsen, 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S.P.","contributorId":68201,"corporation":false,"usgs":true,"family":"Schwenzer","given":"S.P.","email":"","affiliations":[],"preferred":false,"id":481379,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Lewis, K.W.","contributorId":101784,"corporation":false,"usgs":true,"family":"Lewis","given":"K.W.","affiliations":[],"preferred":false,"id":481391,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Stack, K.M.","contributorId":20628,"corporation":false,"usgs":true,"family":"Stack","given":"K.M.","affiliations":[],"preferred":false,"id":481363,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Rubin, D.","contributorId":73095,"corporation":false,"usgs":true,"family":"Rubin","given":"D.","affiliations":[],"preferred":false,"id":481381,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Kah, L.C.","contributorId":101543,"corporation":false,"usgs":true,"family":"Kah","given":"L.C.","email":"","affiliations":[],"preferred":false,"id":481390,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Bell, J.F. III","contributorId":97612,"corporation":false,"usgs":true,"family":"Bell","given":"J.F.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":481387,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Farmer, J.D.","contributorId":79671,"corporation":false,"usgs":true,"family":"Farmer","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":481384,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Sullivan, R.","contributorId":63134,"corporation":false,"usgs":true,"family":"Sullivan","given":"R.","affiliations":[],"preferred":false,"id":481376,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Van Beek, T.","contributorId":17896,"corporation":false,"usgs":true,"family":"Van Beek","given":"T.","email":"","affiliations":[],"preferred":false,"id":481360,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Blaney, D.L.","contributorId":43477,"corporation":false,"usgs":true,"family":"Blaney","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":481370,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Pariser, O.","contributorId":34803,"corporation":false,"usgs":true,"family":"Pariser","given":"O.","email":"","affiliations":[],"preferred":false,"id":481369,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Deen, R.G.","contributorId":46373,"corporation":false,"usgs":true,"family":"Deen","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":481371,"contributorType":{"id":1,"text":"Authors"},"rank":37}]}}
,{"id":70056365,"text":"70056365 - 2013 - Assessing factors affecting the thermal properties of a passive thermal refuge using three-dimensional hydrodynamic flow and transport modeling","interactions":[],"lastModifiedDate":"2013-11-21T09:56:10","indexId":"70056365","displayToPublicDate":"2013-05-01T09:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2505,"text":"Journal of Waterway, Port, Coastal, Ocean Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Assessing factors affecting the thermal properties of a passive thermal refuge using three-dimensional hydrodynamic flow and transport modeling","docAbstract":"Everglades restoration activities may cause changes to temperature and salinity stratification at the Port of the Islands (POI) marina, which could affect its suitability as a cold weather refuge for manatees. To better understand how the Picayune Strand Restoration Project (PSRP) may alter this important resource in Collier County in southwestern Florida, the USGS has developed a three-dimensional hydrodynamic model for the marina and canal system at POI. Empirical data suggest that manatees aggregate at the site during winter because of thermal inversions that provide warmer water near the bottom that appears to only occur in the presence of salinity stratification. To study these phenomena, the environmental fluid dynamics code simulator was used to represent temperature and salinity transport within POI. Boundary inputs were generated using a larger two-dimensional model constructed with the flow and transport in a linked overland-aquifer density-dependent system simulator. Model results for a representative winter period match observed trends in salinity and temperature fluctuations and produce temperature inversions similar to observed values. Modified boundary conditions, representing proposed PSRP alterations, were also tested to examine the possible effect on the salinity stratification and temperature inversion within POI. Results show that during some periods, salinity stratification is reduced resulting in a subsequent reduction in temperature inversion compared with the existing conditions simulation. This may have an effect on POI’s suitability as a passive thermal refuge for manatees and other temperature-sensitive species. Additional testing was completed to determine the important physical relationships affecting POI’s suitability as a refuge.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Waterway, Port, Coastal, Ocean Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)WW.1943-5460.0000165","usgsCitation":"Decker, J.D., Swain, E.D., Stith, B., and Langtimm, C.A., 2013, Assessing factors affecting the thermal properties of a passive thermal refuge using three-dimensional hydrodynamic flow and transport modeling: Journal of Waterway, Port, Coastal, Ocean Engineering, v. 139, no. 3, p. 209-220, https://doi.org/10.1061/(ASCE)WW.1943-5460.0000165.","productDescription":"12 p.","startPage":"209","endPage":"220","numberOfPages":"12","ipdsId":"IP-016534","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":279310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279309,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)WW.1943-5460.0000165"}],"country":"United States","state":"Florida","otherGeospatial":"Faka Union Canal;Port Of The Islands Marina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.234287,25.627031 ], [ -81.234287,26.139366 ], [ -80.658594,26.139366 ], [ -80.658594,25.627031 ], [ -81.234287,25.627031 ] ] ] } } ] }","volume":"139","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528f53efe4b0660d392bed8f","contributors":{"authors":[{"text":"Decker, Jeremy D. 0000-0002-0700-515X jdecker@usgs.gov","orcid":"https://orcid.org/0000-0002-0700-515X","contributorId":514,"corporation":false,"usgs":true,"family":"Decker","given":"Jeremy","email":"jdecker@usgs.gov","middleInitial":"D.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":486541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stith, Bradley bstith@usgs.gov","contributorId":3596,"corporation":false,"usgs":true,"family":"Stith","given":"Bradley","email":"bstith@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langtimm, Catherine A. 0000-0001-8499-5743 clangtimm@usgs.gov","orcid":"https://orcid.org/0000-0001-8499-5743","contributorId":3045,"corporation":false,"usgs":true,"family":"Langtimm","given":"Catherine","email":"clangtimm@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":486543,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048003,"text":"70048003 - 2013 - Hydrogen isotope investigation of amphibole and glass in dacite magmas erupted in 1980-1986 and 2005 at Mount St. Helens, Washington","interactions":[],"lastModifiedDate":"2013-09-06T08:50:54","indexId":"70048003","displayToPublicDate":"2013-05-01T08:26:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogen isotope investigation of amphibole and glass in dacite magmas erupted in 1980-1986 and 2005 at Mount St. Helens, Washington","docAbstract":"In active, shallow, sub-volcanic magma conduits the extent of the dehydrogenation–oxidation reaction in amphibole phenocrysts is controlled by energetic processes that cause crystal lattice damage or conditions that increase hydrogen diffusivity in magmatic phases. Amphibole phenocrysts separated from dacitic volcanic rocks erupted from 1980 to 1986 and in 2005 at Mount St. Helens (MSH) were analyzed for δD, water content and Fe<sup>3</sup>+/Fe<sup>2</sup>+, and fragments of glassy groundmass were analyzed for δD and water content. Changes in amphibole δD values through time are evaluated within the context of carefully observed volcanic eruption behavior and published petrological and geochemical investigations. Driving forces for amphibole dehydrogenation include increase in magma oxygen fugacity, decrease in amphibole hydrogen fugacity, or both. The phenocryst amphibole (δD value c. –57‰ and 2 wt % H<sub>2</sub>O) in the white fallout pumice of the May 18, 1980 plinian eruptive phase is probably little modified during rapid magma ascent up an ∼7 km conduit. Younger volcanic rocks incorporate some shallowly degassed dacitic magma from earlier pulses, based on amphibole phenocryst populations that exhibit varying degrees of dehydrogenation. Pyroclastic rocks from explosive eruptions in June–October 1980 have elevated abundances of mottled amphibole phenocrysts (peaking in some pyroclastic rocks erupted on July 22, 1980), and extensive amphibole dehydrogenation is linked to crystal damage from vesiculation and pyroclastic fountain collapse that increased effective hydrogen diffusion in amphibole. Multiple amphibole δD populations in many 1980 pyroclastic rocks combined with their groundmass characteristics (e.g. mixed pumice textures) support models of shallow mixing prior to, or during, eruption as new, volatile-rich magma pulses blended with more oxidized, degassed magma. Amphibole dehydrogenation is quenched at the top surface of MSH dacite lava lobes, but the diversity in the δD<sub>amph</sub> populations in original fresh lava flow surfaces may occur from blending magma domains with different ascent histories in the sub-volcanic environment immediately before eruption. Multi-stage open-system magma degassing operated in each parcel of magma rising toward the surface, whereas the magma below ∼7 km was a relatively closed system, at least to the October 1986 eruption based on the large population of minimally dehydrogenated, rim-free amphibole in the lavas. Magma degassing and possibly H isotope exchange with low-δD fluids around the roof zone may have accompanied the ∼1·5 km upward migration of the 1980 magma body. The low-δDamph (c. –188 to –122‰) oxy-amphibole phenocrysts in lava spines extruded in May 2005 reflect dehydrogenation as ascending viscous magma degassed and crystallized, and fractures that admitted oxygen into the hot solidified lava spine interior facilitated additional iron oxidation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Petrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egt005","usgsCitation":"Underwood, S., Feeley, T., and Clynne, M., 2013, Hydrogen isotope investigation of amphibole and glass in dacite magmas erupted in 1980-1986 and 2005 at Mount St. Helens, Washington: Journal of Petrology, 24 p., https://doi.org/10.1093/petrology/egt005.","productDescription":"24 p.","ipdsId":"IP-026724","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":277328,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/petrology/egt005"},{"id":277351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.2501,45.5578 ], [ -122.2501,46.3892 ], [ -121.5148,46.3892 ], [ -121.5148,45.5578 ], [ -122.2501,45.5578 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2013-02-28","publicationStatus":"PW","scienceBaseUri":"522af966e4b08fd0132e79ad","contributors":{"authors":[{"text":"Underwood, S.J.","contributorId":101734,"corporation":false,"usgs":true,"family":"Underwood","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":483557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feeley, T.C.","contributorId":17793,"corporation":false,"usgs":true,"family":"Feeley","given":"T.C.","email":"","affiliations":[],"preferred":false,"id":483555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clynne, M.A.","contributorId":90722,"corporation":false,"usgs":true,"family":"Clynne","given":"M.A.","affiliations":[],"preferred":false,"id":483556,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045895,"text":"70045895 - 2013 - Mineral resource of the month: diatomite","interactions":[],"lastModifiedDate":"2013-05-08T16:36:11","indexId":"70045895","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: diatomite","docAbstract":"The article discusses the properties and applications of the mineral diatomite. According to the author, diatomite is a soft, friable and very fine-grained siliceous sedimentary rock made of the remains of fossilized diatoms. The author adds that its properties make diatomite very useful as a filtration medium and as a component in cement.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Mineral resource of the month: diatomite: Earth, v. 58, no. 4, p. 57-57.","productDescription":"1 p.","startPage":"57","endPage":"57","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73eae4b0037667dbc836","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535496,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045736,"text":"sir20135045 - 2013 - Investigations of groundwater system and simulation of regional groundwater flow for North Penn Area 7 Superfund site, Montgomery County, Pennsylvania","interactions":[],"lastModifiedDate":"2015-05-01T08:11:34","indexId":"sir20135045","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","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":"2013-5045","title":"Investigations of groundwater system and simulation of regional groundwater flow for North Penn Area 7 Superfund site, Montgomery County, Pennsylvania","docAbstract":"<p>Groundwater in the vicinity of several industrial facilities in Upper Gwynedd Township and vicinity, Montgomery County, in southeast Pennsylvania has been shown to be contaminated with volatile organic compounds (VOCs), the most common of which is the solvent trichloroethylene (TCE). The 2-square-mile area was placed on the National Priorities List as the North Penn Area 7 Superfund site by the U.S. Environmental Protection Agency (USEPA) in 1989. The U.S. Geological Survey (USGS) conducted geophysical logging, aquifer testing, and water-level monitoring, and measured streamflows in and near North Penn Area 7 from fall 2000 through fall 2006 in a technical assistance study for the USEPA to develop an understanding of the hydrogeologic framework in the area as part of the USEPA Remedial Investigation. In addition, the USGS developed a groundwater-flow computer model based on the hydrogeologic framework to simulate regional groundwater flow and to estimate directions of groundwater flow and pathways of groundwater contaminants. The study area is underlain by Triassic- and Jurassic-age sandstones and shales of the Lockatong Formation and Brunswick Group in the Mesozoic Newark Basin. Regionally, these rocks strike northeast and dip to the northwest. The sequence of rocks form a fractured-sedimentary-rock aquifer that acts as a set of confined to partially confined layers of differing permeabilities. Depth to competent bedrock typically is less than 20 ft below land surface. The aquifer layers are recharged locally by precipitation and discharge locally to streams. The general configuration of the potentiometric surface in the aquifer is similar to topography, except in areas affected by pumping. The headwaters of Wissahickon Creek are nearby, and the stream flows southwest, parallel to strike, to bisect North Penn Area 7. Groundwater is pumped in the vicinity of North Penn Area 7 for industrial use, public supply, and residential supply. Results of field investigations by USGS at the site and results from other studies support, and are consistent with, a conceptual model of a layered leaky aquifer where the dip of the beds has a strong control on hydraulic connections in the groundwater system. Connections within and (or) parallel to bedding tend to be greater than across bedding. Transmissivities of aquifer intervals isolated by packers ranged over three orders of magnitude [from about 2.8 to 2,290 square feet per day (ft<sup>2</sup>/d) or 0.26 to 213 square meters per day (m<sup>2</sup>/d)], did not appear to differ much by mapped geologic unit, but showed some relation to depth being relatively smaller in the shallowest and deepest intervals (0 to 50 ft and more than 250 ft below land surface, respectively) compared to the intermediate depth intervals (50 to 250 ft below land surface) tested. Transmissivities estimated from multiple-observation well aquifer tests ranged from about 700 to 2,300 ft<sup>2</sup>/d (65 to 214 m<sup>2</sup>/d). Results of chemical analyses of water from isolated intervals or monitoring wells open to short sections of the aquifer show vertical differences in concentrations; chloride and silica concentrations generally were greater in shallow intervals than in deeper intervals. Chloride concentrations greater than 100 milligrams per liter (mg/L), combined with distinctive chloride/bromide ratios, indicate a different source of chloride in the western part of North Penn Area 7 than elsewhere in the site. Groundwater flow at a regional scale under steady-state conditions was simulated by use of a numerical model (MODFLOW-2000) for North Penn Area 7 with different layers representing saprolite/highly weathered rock near the surface and unweathered competent bedrock. The sedimentary formations that underlie the study area were modeled using dipping model layers for intermediate and deep zones of unweathered, fractured rock. Horizontal cell model size was 100 meters (m) by 100 meters (328 ft by 328 ft), and model layer thickness ranged from 6 m (19.7 ft) representing shallow weathered rock and saprolite up to 200 m (656 ft) representing deeper dipping bedrock. The model did not include detailed structure to account for local-scale differences in hydraulic properties, with the result that local-scale groundwater flow may not be well simulated. Additional detailed multi-well aquifer tests would be needed to establish the extent of interconnection between intervals at the local scale to address remediation of contamination at each source area. This regional groundwater-flow model was calibrated against measured groundwater levels (1996, 2000, and 2005) and base flow estimated from selected streamflow measurements by use of nonlinear-regression parameter-estimation algorithms to determine hydraulic conductivity and anisotropy of hydraulic conductivity, streambed hydraulic conductivity, and recharge during calibration periods. Results of the simulation using the calibrated regional model indicate that the aquifer appears to be anisotropic where hydraulic conductivity is greatest parallel to the orientation of bedding of the formations underlying the area and least in the cross-bed direction. The maximum hydraulic conductivity is aligned with the average regional strike of the formations, which is &ldquo;subhorizontal&rdquo; in the model because the altitudes of the beds and model cells vary in the strike, as well as dip, direction. Estimated subhorizontal hydraulic conductivities (in strike direction parallel to dipping beds) range from 0.001 to 1.67 meters per day (0.0032 to 5.5 feet per day). The ratio of minimum (dip direction) to maximum (strike direction) subhorizontal hydraulic conductivity ranges from 1/3.1 to 1/8.6, and the ratio of vertical to horizontal hydraulic conductivity ranges from 1/1 to 1/478. However, limited available field data precluded rigorous calibration of vertical anisotropy in the model. Estimated recharge rates corresponding to calibration periods in 1996, 2000, and 2005 are 150, 109, and 124 millimeters per year (5.9, 4.3, and 4.9 inches per year), respectively. The calibrated groundwater-flow model was used to simulate groundwater flow under steady-state conditions during periods of relatively high withdrawals (pumpage) (1990) and relatively low withdrawals (2000 and 2005). Groundwater-flow paths originating from recharge areas near known areas of soil contamination (sources) were simulated. Pumped industrial and production wells captured more groundwater from several of these sources during 1990 than after 1990 when pumping declined or ceased and greater amounts of contaminated groundwater moved away from North Penn Area 7 Superfund site to surrounding areas. Uncertainty in simulated groundwater-flow paths from contaminant sources and contributing areas, resulting from uncertainty in estimated hydraulic properties of the model, was illustrated through Monte Carlo simulations. The effect of uncertainty in the vertical anisotropy was not included in the Monte Carlo simulations. Contributing areas indicating the general configuration of groundwater flow towards production well MG-202 (L-22) in the study area also were simulated for the different time periods; as simulated, the flow paths do not pass through any identified contaminant source in North Penn Area 7. However, contributing areas to wells, such as MG-202, located near many pumped wells are particularly complex and, in some cases, include areas that contribute flow to streams that subsequently recharge the aquifer through stream loss. In these cases, water-quality constituents, including contaminants that are present in surface water may be drawn into the aquifer to nearby pumped wells. Results of a simulated shutdown of well MG-202 under steady-state 2005 conditions showed that the area contributing recharge for nearby production well MG-76 (L-17), when MG-202 is not pumping, shifts downstream and is similar to the area contributing recharge for MG-202 when both wells are pumping. Concentrations of constituents in groundwater samples collected in fall 2005 or spring 2006 were compared to simulated groundwater-flow paths for the year 2005 to provide a qualitative assessment of model results. The observed spatial distribution of selected constituents, including TCE, CFC-11, and CFC-113 in groundwater in 2005 and the chloride/bromide mass ratios in 2006, generally were consistent with the model results of the simulated 2005 groundwater-flow paths at North Penn Area 7, indicating the presence of several separate sources of contaminants within North Penn Area 7.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135045","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Senior, L.A., and Goode, D., 2013, Investigations of groundwater system and simulation of regional groundwater flow for North Penn Area 7 Superfund site, Montgomery County, Pennsylvania (Version 1: Originally posted April 30, 2013; Version 1.1: April 30, 2015): U.S. Geological Survey Scientific Investigations Report 2013-5045, xii, 95 p., https://doi.org/10.3133/sir20135045.","productDescription":"xii, 95 p.","numberOfPages":"112","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1990-01-01","temporalEnd":"2006-07-01","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":300001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135045.jpg"},{"id":271689,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5045/"},{"id":271690,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5045/support/sir2013-5045.pdf","text":"Report","size":"14.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"scale":"24000","projection":"Universal Transverse Mercator, Zone 18","datum":"North American Datum of 1927","country":"United States","state":"Pennsylvania","county":"Montgomery","city":"Upper Gwynedd","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.33050537109375,\n              40.17939793281656\n            ],\n            [\n              -75.33050537109375,\n              40.23079086353824\n            ],\n            [\n              -75.23162841796875,\n              40.23079086353824\n            ],\n            [\n              -75.23162841796875,\n              40.17939793281656\n            ],\n            [\n              -75.33050537109375,\n              40.17939793281656\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1: Originally posted April 30, 2013; Version 1.1: April 30, 2015","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5543522ee4b0a658d79414af","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":478213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478214,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045741,"text":"sir20135024 - 2013 - Estimated rates of groundwater recharge to the Chicot, Evangeline and Jasper aquifers by using environmental tracers in Montgomery and adjacent counties, Texas, 2008 and 2011","interactions":[],"lastModifiedDate":"2016-08-05T14:04:03","indexId":"sir20135024","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","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":"2013-5024","title":"Estimated rates of groundwater recharge to the Chicot, Evangeline and Jasper aquifers by using environmental tracers in Montgomery and adjacent counties, Texas, 2008 and 2011","docAbstract":"<p>Montgomery County is in the northern part of the Houston, Texas, metropolitan area, the fourth most populous metropolitan area in the United States. As populations have increased since the 1980s, groundwater has become an important resource for public-water supply and industry in the rapidly growing area of Montgomery County. Groundwater availability from the Gulf Coast aquifer system is a primary concern for water managers and community planners in Montgomery County and requires a better understanding of the rate of recharge to the system. The Gulf Coast aquifer system in Montgomery County consists of the Chicot, Evangeline, and Jasper aquifers, the Burkeville confining unit, and underlying Catahoula confining system. The individual sand and clay sequences of the aquifers composing the Gulf Coast aquifer system are not laterally or vertically continuous on a regional scale; however, on a local scale, individual sand and clay lenses can extend over several miles. The U.S. Geological Survey, in cooperation with the Lone Star Groundwater Conservation District, collected groundwater-quality samples from selected wells within or near Montgomery County in 2008 and analyzed these samples for concentrations of chlorofluorocarbons (CFCs), sulfur hexafluoride (SF<sub>6</sub>), tritium (3H), helium-3/tritium (<sup>3</sup>He/<sup>3</sup>H), helium-4 (<sup>4</sup>He), and dissolved gases (DG) that include argon, carbon dioxide, methane, nitrogen and oxygen. Groundwater ages, or apparent age, representing residence times since time of recharge, were determined by using the assumption of a piston-flow transport model. Most of the environmental tracer data indicated the groundwater was recharged prior to the 1950s, limiting the usefulness of CFCs, SF<sub>6</sub>, and <sup>3</sup>H concentrations as tracers. In many cases, no tracer was usable at a well for the purpose of estimating an apparent age. Wells not usable for estimating an apparent age were resampled in 2011 and analyzed for concentrations of major ions and carbon-14 (<sup>14</sup>C). At six of these wells, additional <sup>4</sup>He and DG samples were collected and analyzed.</p>\n<p>Recharge rates estimated from environmental tracer data are dependent upon several hydrogeologic variables and have inherent uncertainties. By using the recharge estimates derived from samples collected from 14 wells completed in the Chicot aquifer for which apparent groundwater ages could be determined, recharge to the Chicot aquifer ranged from 0.2 to 7.2 inches (in.) per year (yr). Based on data from one well, estimated recharge to the unconfined zone of the Evangeline aquifer (outcrop) was 0.1 in./yr. Based on data collected from eight wells, estimated rates of recharge to the confined zone of the Evangeline aquifer ranged from less than 0.1 to 2.8 in./yr. Based on data from one well, estimated recharge to the unconfined zone of the Jasper aquifer (outcrop) was 0.5 in./yr. Based on data collected from nine wells, estimated rates of recharge to the confined zone of the Jasper aquifer ranged from less than 0.1 to 0.1 in./yr. The complexity of the hydrogeology in the area, uncertainty in the conceptual model, and numerical assumptions required in the determination of the recharge rates all pose limitations and need to be considered when evaluating these data on a countywide or regional scale. The estimated recharge rates calculated for this study are specific to each well location and should not be extrapolated or inferred as a countywide average. Local variations in the hydrogeology and surficial conditions can affect the recharge rate at a local scale.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135024","collaboration":"Prepared in cooperation with the Lone Star Groundwater Conservation District","usgsCitation":"Oden, T., and Truini, M., 2013, Estimated rates of groundwater recharge to the Chicot, Evangeline and Jasper aquifers by using environmental tracers in Montgomery and adjacent counties, Texas, 2008 and 2011: U.S. Geological Survey Scientific Investigations Report 2013-5024, Document: viii, 50 p.; Appendixes 1-5, https://doi.org/10.3133/sir20135024.","productDescription":"Document: viii, 50 p.; Appendixes 1-5","numberOfPages":"61","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042849","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":271699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135024.gif"},{"id":271693,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5024/SIR2013-5024.pdf"},{"id":271694,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5024/Appendixes/Appendix%202.xlsx","text":"Appendix 2"},{"id":271695,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5024/Appendixes/Appendix%201.xlsx","text":"Appendix 1"},{"id":271692,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5024/"},{"id":271696,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5024/Appendixes/Appendix%203.pdf","text":"Appendix 3"},{"id":271697,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5024/Appendixes/Appendix%204.xlsx","text":"Appendix 4"},{"id":271698,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5024/Appendixes/Appendix%205.xlsx","text":"Appendix 5"}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.6,25.8 ], [ -106.6,36.5 ], [ -93.5,36.5 ], [ -93.5,25.8 ], [ -106.6,25.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51822b53e4b04bbc6ead26f6","contributors":{"authors":[{"text":"Oden, Timothy D. toden@usgs.gov","contributorId":1284,"corporation":false,"usgs":true,"family":"Oden","given":"Timothy D.","email":"toden@usgs.gov","affiliations":[],"preferred":true,"id":478225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Truini, Margot mtruini@usgs.gov","contributorId":599,"corporation":false,"usgs":true,"family":"Truini","given":"Margot","email":"mtruini@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042887,"text":"70042887 - 2013 - Short-term variability of <sup>7</sup>Be atmospheric deposition and watershed response in a Pacific coastal stream, Monterey Bay, California, USA","interactions":[],"lastModifiedDate":"2013-05-10T10:30:22","indexId":"70042887","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2263,"text":"Journal of Environmental Radioactivity","active":true,"publicationSubtype":{"id":10}},"title":"Short-term variability of <sup>7</sup>Be atmospheric deposition and watershed response in a Pacific coastal stream, Monterey Bay, California, USA","docAbstract":"Beryllium-7 is a powerful and commonly used tracer for environmental processes such as watershed sediment provenance, soil erosion, fluvial and nearshore sediment cycling, and atmospheric fallout. However, few studies have quantified temporal or spatial variability of <sup>7</sup>Be accumulation from atmospheric fallout, and parameters that would better define the uses and limitations of this geochemical tracer. We investigated the abundance and variability of <sup>7</sup>Be in atmospheric deposition in both rain events and dry periods, and in stream surface-water samples collected over a ten-month interval at sites near northern Monterey Bay (37°N, 122°W) on the central California coast, a region characterized by a rainy winters, dry summers, and small mountainous streams with flashy hydrology. The range of <sup>7</sup>Be activity in rainwater samples from the main sampling site was 1.3–4.4 Bq L<sup>−1</sup>, with a mean (±standard deviation) of 2.2 ± 0.9 Bq L<sup>−1</sup>, and a volume-weighted average of 2.0 Bq L<sup>−1</sup>. The range of wet atmospheric deposition was 18–188 Bq m<sup>−2</sup> per rain event, with a mean of 72 ± 53 Bq m<sup>−2</sup>. Dry deposition fluxes of <sup>7</sup>Be ranged from less than 0.01 up to 0.45 Bq m<sup>−2</sup> d<sup>−1</sup>, with an estimated dry season deposition of 7 Bq m<sup>−2</sup> month<sup>−1</sup>. Annualized <sup>7</sup>Be atmospheric deposition was approximately 1900 Bq m<sup>−2</sup> yr<sup>−1</sup>, with most deposition via rainwater (>95%) and little via dry deposition. Overall, these activities and deposition fluxes are similar to values found in other coastal locations with comparable latitude and Mediterranean-type climate. Particulate <sup>7</sup>Be values in the surface water of the San Lorenzo River in Santa Cruz, California, ranged from <0.01 Bq g<sup>−1</sup> to 0.6 Bq g<sup>−1</sup>, with a median activity of 0.26 Bq g<sup>−1</sup>. A large storm event in January 2010 characterized by prolonged flooding resulted in the entrainment of <sup>7</sup>Be-depleted sediment, presumably from substantial erosion in the watershed. There were too few particulate <sup>7</sup>Be data over the storm to accurately model a <sup>7</sup>Be load, but the results suggest enhanced watershed export of <sup>7</sup>Be from small, mountainous river systems compared to other watershed types.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Radioactivity","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvrad.2013.02.004","usgsCitation":"Conaway, C., Storlazzi, C., Draut, A.E., and Swarzenski, P.W., 2013, Short-term variability of <sup>7</sup>Be atmospheric deposition and watershed response in a Pacific coastal stream, Monterey Bay, California, USA: Journal of Environmental Radioactivity, v. 120, p. 94-103, https://doi.org/10.1016/j.jenvrad.2013.02.004.","startPage":"94","endPage":"103","numberOfPages":"10","ipdsId":"IP-041747","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":272171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272170,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jenvrad.2013.02.004"}],"country":"United States","state":"California","otherGeospatial":"Monterey Bay;San Lorenzo River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.3,36.9 ], [ -122.3,37.3 ], [ -122.9,37.3 ], [ -122.9,36.9 ], [ -122.3,36.9 ] ] ] } } ] }","volume":"120","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518e16e1e4b05ebc8f7cc2ff","contributors":{"authors":[{"text":"Conaway, Christopher H.","contributorId":52620,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[],"preferred":false,"id":472506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":472507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":472508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":472505,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70154966,"text":"70154966 - 2013 - Seasonal comparison of aquatic macroinvertebrate assemblages in a flooded coastal freshwater marsh","interactions":[],"lastModifiedDate":"2015-07-22T10:49:58","indexId":"70154966","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2949,"text":"Open Journal Of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal comparison of aquatic macroinvertebrate assemblages in a flooded coastal freshwater marsh","docAbstract":"<p><span>Marsh flooding and drying may be important factors affecting aquatic macroinvertebrate density and distribution in coastal freshwater marshes. Limited availability of water as a result of drying in emergent marsh may decrease density, taxonomic diversity, and taxa richness. The principal objectives of this study are to characterize the seasonal aquatic macroinvertebrate assemblage in a freshwater emergent marsh and compare aquatic macroinvertebrate species composition, density, and taxonomic diversity to that of freshwater marsh ponds. We hypothesize that 1) freshwater emergent marsh has lower seasonal density and taxonomic diversity compared to that of freshwater marsh ponds; and 2) freshwater emergent marsh has lower taxa richness than freshwater marsh ponds. Seasonal aquatic macroinvertebrate density in freshwater emergent marsh ranged from 0 organisms/m</span><sup><span>2</span></sup><span>&nbsp;(summer 2009) to 91.1 &plusmn; 20.53 organisms/m</span><sup><span>2</span></sup><span>&nbsp;(mean &plusmn; SE; spring 2009). Density in spring was higher than in all other seasons. Taxonomic diversity did not differ and there were no unique species in the freshwater emergent marsh. Our data only partially support our first hypothesis as aquatic macroinvertebrate density and taxonomic diversity between freshwater emergent marsh and ponds did not differ in spring, fall, and winter but ponds supported higher macroinvertebrate densities than freshwater emergent marsh during summer. However, our data did not support our second hypothesis as taxa richness between freshwater emergent marsh and ponds did not statistically differ.</span></p>","language":"English","publisher":"Scientific Research","doi":"10.4236/oje.2013.32011","usgsCitation":"Kang, S., and King, S.L., 2013, Seasonal comparison of aquatic macroinvertebrate assemblages in a flooded coastal freshwater marsh: Open Journal Of Ecology, v. 3, no. 2, p. 94-101, https://doi.org/10.4236/oje.2013.32011.","productDescription":"8 p.","startPage":"94","endPage":"101","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042386","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473856,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/oje.2013.32011","text":"Publisher Index Page"},{"id":305886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"White Lakes Wetlands Conservation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.63397216796875,\n              29.766761583985765\n            ],\n            [\n              -92.63397216796875,\n              29.99300228455108\n            ],\n            [\n              -92.36480712890625,\n              29.99300228455108\n            ],\n            [\n              -92.36480712890625,\n              29.766761583985765\n            ],\n            [\n              -92.63397216796875,\n              29.766761583985765\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0beaee4b09a3b01b530a2","contributors":{"authors":[{"text":"Kang, Sung-Ryong","contributorId":140927,"corporation":false,"usgs":false,"family":"Kang","given":"Sung-Ryong","email":"","affiliations":[],"preferred":false,"id":565296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564417,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70180385,"text":"70180385 - 2013 - Chromophoric dissolved organic matter export from U.S. rivers","interactions":[],"lastModifiedDate":"2017-01-30T09:50:20","indexId":"70180385","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Chromophoric dissolved organic matter export from U.S. rivers","docAbstract":"<p><span>Chromophoric dissolved organic matter (CDOM) fluxes and yields from 15 major U.S. rivers draining an assortment of terrestrial biomes are presented. A robust relationship between CDOM and dissolved organic carbon (DOC) loads is established (e.g., </span><i>a</i><sub>350</sub><span> versus DOC; r</span><sup>2</sup><span> = 0.96, p &lt; 0.001). Calculated CDOM yields are also correlated to watershed percent wetland (e.g. </span><i>a</i><sub>350</sub><span>; r</span><sup>2</sup><span> = 0.81, p &lt; 0.001) providing a method for the estimation of CDOM export from ungauged watersheds. A large variation in CDOM yields was found across the rivers. The two rivers in the north-eastern U.S. (Androscoggin and Penobscot), the Edisto draining into the South Atlantic Bight, and some rivers draining into the Gulf of Mexico (Atchafalaya and Mobile) exhibit the highest CDOM yields, linked to extensive wetlands in these watersheds. If the Edisto CDOM yield is representative of other rivers draining into the South Atlantic Bight, this would result in a CDOM load equivalent to that of the Mississippi from a region of approximately 10% of the Mississippi watershed, indicating the importance of certain regions with respect to the role of terrigenous CDOM in ocean color budgets.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/grl.50357","usgsCitation":"Spencer, R., Aiken, G.R., Dornblaser, M.M., Butler, K.D., Holmes, R.M., Fiske, G., Mann, P.J., and Stubbins, A., 2013, Chromophoric dissolved organic matter export from U.S. rivers: Geophysical Research Letters, v. 40, no. 8, p. 1575-1579, https://doi.org/10.1002/grl.50357.","productDescription":"5 p.","startPage":"1575","endPage":"1579","ipdsId":"IP-036933","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":334285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-27","publicationStatus":"PW","scienceBaseUri":"58905ef1e4b072a7ac0cad3b","contributors":{"authors":[{"text":"Spencer, Robert G. M.","contributorId":139731,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G. M.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":661529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":661531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, Kenna D. kebutler@usgs.gov","contributorId":3283,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":661532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holmes, R. Max","contributorId":7957,"corporation":false,"usgs":true,"family":"Holmes","given":"R.","email":"","middleInitial":"Max","affiliations":[],"preferred":false,"id":661533,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fiske, Greg","contributorId":178906,"corporation":false,"usgs":false,"family":"Fiske","given":"Greg","email":"","affiliations":[],"preferred":false,"id":661534,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mann, Paul J.","contributorId":178897,"corporation":false,"usgs":false,"family":"Mann","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":661535,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stubbins, Aron","contributorId":80949,"corporation":false,"usgs":true,"family":"Stubbins","given":"Aron","affiliations":[],"preferred":false,"id":661536,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187305,"text":"70187305 - 2013 - Assessing the potential of reservoir outflow management to reduce sedimentation using continuous turbidity monitoring and reservoir modelling","interactions":[],"lastModifiedDate":"2017-04-27T14:31:57","indexId":"70187305","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the potential of reservoir outflow management to reduce sedimentation using continuous turbidity monitoring and reservoir modelling","docAbstract":"<p><span>In-stream sensors are increasingly deployed as part of ambient water quality-monitoring networks. Temporally dense data from these networks can be used to better understand the transport of constituents through streams, lakes or reservoirs. Data from existing, continuously recording in-stream flow and water quality monitoring stations were coupled with the two-dimensional hydrodynamic CE-QUAL-W2 model to assess the potential of altered reservoir outflow management to reduce sediment trapping in John Redmond Reservoir, located in east-central Kansas. Monitoring stations upstream and downstream from the reservoir were used to estimate 5.6 million metric tons of sediment transported to John Redmond Reservoir from 2007 through 2010, 88% of which was trapped within the reservoir. The two-dimensional model was used to estimate the residence time of 55 equal-volume releases from the reservoir; sediment trapping for these releases varied from 48% to 97%. Smaller trapping efficiencies were observed when the reservoir was maintained near the normal operating capacity (relative to higher flood pool levels) and when average residence times were relatively short. An idealized, alternative outflow management scenario was constructed, which minimized reservoir elevations and the length of time water was in the reservoir, while continuing to meet downstream flood control end points identified in the reservoir water control manual. The alternative scenario is projected to reduce sediment trapping in the reservoir by approximately 3%, preventing approximately 45 000 metric tons of sediment from being deposited within the reservoir annually. This article presents an approach to quantify the potential of reservoir management using existing in-stream data; actual management decisions need to consider the effects on other reservoir benefits, such as downstream flood control and aquatic life. </span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.9284","usgsCitation":"Lee, C.J., and Foster, G.M., 2013, Assessing the potential of reservoir outflow management to reduce sedimentation using continuous turbidity monitoring and reservoir modelling: Hydrological Processes, v. 27, no. 10, p. 1426-1439, https://doi.org/10.1002/hyp.9284.","productDescription":"14 p.","startPage":"1426","endPage":"1439","ipdsId":"IP-026625","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":340523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-04-23","publicationStatus":"PW","scienceBaseUri":"59030329e4b0e862d230f753","contributors":{"authors":[{"text":"Lee, Casey J. 0000-0002-5753-2038 cjlee@usgs.gov","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":2627,"corporation":false,"usgs":true,"family":"Lee","given":"Casey","email":"cjlee@usgs.gov","middleInitial":"J.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":693240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, Guy M. 0000-0002-9581-057X gfoster@usgs.gov","orcid":"https://orcid.org/0000-0002-9581-057X","contributorId":149145,"corporation":false,"usgs":true,"family":"Foster","given":"Guy","email":"gfoster@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":693241,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189218,"text":"70189218 - 2013 - Colloid transport in saturated porous media: Elimination of attachment efficiency in a new colloid transport model","interactions":[],"lastModifiedDate":"2018-04-02T16:50:16","indexId":"70189218","displayToPublicDate":"2013-05-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Colloid transport in saturated porous media: Elimination of attachment efficiency in a new colloid transport model","docAbstract":"<p><span>A colloid transport model is introduced that is conceptually simple yet captures the essential features of colloid transport and retention in saturated porous media when colloid retention is dominated by the secondary minimum because an electrostatic barrier inhibits substantial deposition in the primary minimum. This model is based on conventional colloid filtration theory (CFT) but eliminates the empirical concept of attachment efficiency. The colloid deposition rate is computed directly from CFT by assuming all predicted interceptions of colloids by collectors result in at least temporary deposition in the secondary minimum. Also, a new paradigm for colloid re-entrainment based on colloid population heterogeneity is introduced. To accomplish this, the initial colloid population is divided into two fractions. One fraction, by virtue of physiochemical characteristics (e.g., size and charge), will always be re-entrained after capture in a secondary minimum. The remaining fraction of colloids, again as a result of physiochemical characteristics, will be retained “irreversibly” when captured by a secondary minimum. Assuming the dispersion coefficient can be estimated from tracer behavior, this model has only two fitting parameters: (1) the fraction of the initial colloid population that will be retained “irreversibly” upon interception by a secondary minimum, and (2) the rate at which reversibly retained colloids leave the secondary minimum. These two parameters were correlated to the depth of the Derjaguin-Landau-Verwey-Overbeek (DLVO) secondary energy minimum and pore-water velocity, two physical forces that influence colloid transport. Given this correlation, the model serves as a heuristic tool for exploring the influence of physical parameters such as surface potential and fluid velocity on colloid transport.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/wrcr.20195","usgsCitation":"Landkamer, L.L., Harvey, R.W., Scheibe, T.D., and Ryan, J.N., 2013, Colloid transport in saturated porous media: Elimination of attachment efficiency in a new colloid transport model: Water Resources Research, v. 49, no. 5, p. 2952-2965, https://doi.org/10.1002/wrcr.20195.","productDescription":"14 p.","startPage":"2952","endPage":"2965","ipdsId":"IP-014563","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":473855,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20195","text":"Publisher Index Page"},{"id":343392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-30","publicationStatus":"PW","scienceBaseUri":"595f4c43e4b0d1f9f057e368","contributors":{"authors":[{"text":"Landkamer, Lee L.","contributorId":65679,"corporation":false,"usgs":true,"family":"Landkamer","given":"Lee","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":703562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scheibe, Timothy D.","contributorId":194243,"corporation":false,"usgs":false,"family":"Scheibe","given":"Timothy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":703563,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":703561,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70189221,"text":"70189221 - 2013 - Community-based water-quality monitoring in the Yukon River Basin and the Kuskokwim Watershed","interactions":[],"lastModifiedDate":"2017-07-07T09:44:47","indexId":"70189221","displayToPublicDate":"2013-04-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5452,"text":"Witness the Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Community-based water-quality monitoring in the Yukon River Basin and the Kuskokwim Watershed","docAbstract":"The unique partnership between the USGS and the YRITWC provides mutual benefits by fostering outreach efforts that have been essential for community empowerment and by generating scientific data for prohibitively large and remote regions that would be challenging for USGS scientists to sample as robustly alone. 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,{"id":70045704,"text":"ofr20131052 - 2013 - Total nutrient and sediment loads, trends, yields, and nontidal water-quality indicators for selected nontidal stations, Chesapeake Bay Watershed, 1985–2011","interactions":[],"lastModifiedDate":"2021-07-06T23:03:48.555439","indexId":"ofr20131052","displayToPublicDate":"2013-04-30T00:00:00","publicationYear":"2013","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":"2013-1052","title":"Total nutrient and sediment loads, trends, yields, and nontidal water-quality indicators for selected nontidal stations, Chesapeake Bay Watershed, 1985–2011","docAbstract":"The U.S. Geological Survey, in cooperation with Chesapeake Bay Program (CBP) partners, routinely reports long-term concentration trends and monthly and annual constituent loads for stream water-quality monitoring stations across the Chesapeake Bay watershed. 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Douglas 0000-0001-6330-478X dlmoyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6330-478X","contributorId":2670,"corporation":false,"usgs":true,"family":"Moyer","given":"Douglas","email":"dlmoyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyer, Kenneth kenhyer@usgs.gov","contributorId":2701,"corporation":false,"usgs":true,"family":"Hyer","given":"Kenneth","email":"kenhyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chanat, Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478117,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045697,"text":"sir20135042 - 2013 - Simulation of groundwater flow, effects of artificial recharge, and storage volume changes in the Equus Beds aquifer near the city of Wichita, Kansas well field, 1935–2008","interactions":[],"lastModifiedDate":"2013-04-30T10:39:05","indexId":"sir20135042","displayToPublicDate":"2013-04-30T00:00:00","publicationYear":"2013","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":"2013-5042","title":"Simulation of groundwater flow, effects of artificial recharge, and storage volume changes in the Equus Beds aquifer near the city of Wichita, Kansas well field, 1935–2008","docAbstract":"The Equus Beds aquifer is a primary water-supply source for Wichita, Kansas and the surrounding area because of shallow depth to water, large saturated thickness, and generally good water quality. Substantial water-level declines in the Equus Beds aquifer have resulted from pumping groundwater for agricultural and municipal needs, as well as periodic drought conditions. In March 2006, the city of Wichita began construction of the Equus Beds Aquifer Storage and Recovery project to store and later recover groundwater, and to form a hydraulic barrier to the known chloride-brine plume near Burrton, Kansas. In October 2009, the U.S. Geological Survey, in cooperation with the city of Wichita, began a study to determine groundwater flow in the area of the Wichita well field, and chloride transport from the Arkansas River and Burrton oilfield to the Wichita well field.  Groundwater flow was simulated for the Equus Beds aquifer using the three-dimensional finite-difference groundwater-flow model MODFLOW-2000. The model simulates steady-state and transient conditions. The groundwater-flow model was calibrated by adjusting model input data and model geometry until model results matched field observations within an acceptable level of accuracy. The root mean square (RMS) error for water-level observations for the steady-state calibration simulation is 9.82 feet. The ratio of the RMS error to the total head loss in the model area is 0.049 and the mean error for water-level observations is 3.86 feet. The difference between flow into the model and flow out of the model across all model boundaries is -0.08 percent of total flow for the steady-state calibration. The RMS error for water-level observations for the transient calibration simulation is 2.48 feet, the ratio of the RMS error to the total head loss in the model area is 0.0124, and the mean error for water-level observations is 0.03 feet. The RMS error calculated for observed and simulated base flow gains or losses for the Arkansas River for the transient simulation is 7,916,564 cubic feet per day (91.6 cubic feet per second) and the RMS error divided by (/) the total range in streamflow (7,916,564/37,461,669 cubic feet per day) is 22 percent. The RMS error calculated for observed and simulated streamflow gains or losses for the Little Arkansas River for the transient simulation is 5,610,089 cubic feet per day(64.9 cubic feet per second) and the RMS error divided by the total range in streamflow (5,612,918/41,791,091 cubic feet per day) is 13 percent. The mean error between observed and simulated base flow gains or losses was 29,999 cubic feet per day (0.34 cubic feet per second) for the Arkansas River and -1,369,250 cubic feet per day (-15.8 cubic feet per second) for the Little Arkansas River. Cumulative streamflow gain and loss observations are similar to the cumulative simulated equivalents. Average percent mass balance difference for individual stress periods ranged from -0.46 to 0.51 percent. The cumulative mass balance for the transient calibration was 0.01 percent.  Composite scaled sensitivities indicate the simulations are most sensitive to parameters with a large areal distribution. For the steady-state calibration, these parameters include recharge, hydraulic conductivity, and vertical conductance. For the transient simulation, these parameters include evapotranspiration, recharge, and hydraulic conductivity.  The ability of the calibrated model to account for the additional groundwater recharged to the Equus Beds aquifer as part of the Aquifer Storage and Recovery project was assessed by using the U.S. Geological Survey subregional water budget program ZONEBUDGET and comparing those results to metered recharge for 2007 and 2008 and previous estimates of artificial recharge. The change in storage between simulations is the volume of water that estimates the recharge credit for the aquifer storage and recovery system.  The estimated increase in storage of 1,607 acre-ft in the basin storage area compared to metered recharge of 1,796 acre-ft indicates some loss of metered recharge. Increased storage outside of the basin storage area of 183 acre-ft accounts for all but 6 acre-ft or 0.33 percent of the total. Previously estimated recharge credits for 2007 and 2008 are 1,018 and 600 acre-ft, respectively, and a total estimated recharge credit of 1,618 acre-ft. Storage changes calculated for this study are 4.42 percent less for 2007 and 5.67 percent more for 2008 than previous estimates. Total storage change for 2007 and 2008 is 0.68 percent less than previous estimates. The small difference between the increase in storage from artificial recharge estimated with the groundwater-flow model and metered recharge indicates the groundwater model correctly accounts for the additional water recharged to the Equus Beds aquifer as part of the Aquifer Storage and Recovery project. Small percent differences between inflows and outflows for all stress periods and all index cells in the basin storage area, improved calibration compared to the previous model, and a reasonable match between simulated and measured long-term base flow indicates the groundwater model accurately simulates groundwater flow in the study area.  The change in groundwater level through recent years compared to the August 1940 groundwater level map has been documented and used to assess the change of storage volume of the Equus Beds aquifer in and near the Wichita well field for three different areas. Two methods were used to estimate changes in storage from simulation results using simulated change in groundwater levels in layer 1 between stress periods, and using ZONEBUDGET to calculate the change in storage in the same way the effects of artificial recharge were estimated within the basin storage area. The three methods indicate similar trends although the magnitude of storage changes differ.  Information about the change in storage in response to hydrologic stresses is important for managing groundwater resources in the study area. The comparison between the three methods indicates similar storage change trends are estimated and each could be used to determine relative increases or decreases in storage. Use of groundwater level changes that do not include storage changes that occur in confined or semi-confined parts of the aquifer will slightly underestimate storage changes; however, use of specific yield and groundwater level changes to estimate storage change in confined or semi-confined parts of the aquifer will overestimate storage changes. Using only changes in shallow groundwater levels would provide more accurate storage change estimates for the measured groundwater levels method.  The value used for specific yield is also an important consideration when estimating storage. For the Equus Beds aquifer the reported specific yield ranges between 0.08 and 0.35 and the storage coefficient (for confined conditions) ranges between 0.0004 and 0.16. Considering the importance of the value of specific yield and storage coefficient to estimates of storage change over time, and the wide range and substantial overlap for the reported values for specific yield and storage coefficient in the study area, further information on the distribution of specific yield and storage coefficient within the Equus Beds aquifer in the study area would greatly enhance the accuracy of estimated storage changes using both simulated groundwater level, simulated groundwater budget, or measured groundwater level methods.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135042","collaboration":"Prepared in cooperation with the city of Wichita, Kansas, as part of the Equus Beds Groundwater Recharge Project","usgsCitation":"Kelly, B.P., Pickett, L.L., Hansen, C.V., and Ziegler, A., 2013, Simulation of groundwater flow, effects of artificial recharge, and storage volume changes in the Equus Beds aquifer near the city of Wichita, Kansas well field, 1935–2008: U.S. Geological Survey Scientific Investigations Report 2013-5042, Report: viii, 92 p.; Downloads Directory, https://doi.org/10.3133/sir20135042.","productDescription":"Report: viii, 92 p.; Downloads Directory","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042806","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":271633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/SIR20135042.gif"},{"id":271632,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5042/downloads/"},{"id":271630,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5042/"},{"id":271631,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5042/sir2013-5042.pdf"}],"country":"United States","state":"Kansas","city":"Wichita","otherGeospatial":"Equus Beds Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.3,37.6 ], [ -98.3,38.05 ], [ -97.16,38.05 ], [ -97.16,37.6 ], [ -98.3,37.6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5180d9dce4b0df838b924d35","contributors":{"authors":[{"text":"Kelly, Brian P. 0000-0001-6378-2837 bkelly@usgs.gov","orcid":"https://orcid.org/0000-0001-6378-2837","contributorId":897,"corporation":false,"usgs":true,"family":"Kelly","given":"Brian","email":"bkelly@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pickett, Linda L.","contributorId":108377,"corporation":false,"usgs":true,"family":"Pickett","given":"Linda","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":478070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Cristi V. chansen@usgs.gov","contributorId":435,"corporation":false,"usgs":true,"family":"Hansen","given":"Cristi","email":"chansen@usgs.gov","middleInitial":"V.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":478068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":478067,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045710,"text":"ofr20131051 - 2013 - Water temperature and baseflow discharge of streams throughout the range of Rio Grande cutthroat trout in Colorado and New Mexico—2010 and 2011","interactions":[],"lastModifiedDate":"2013-04-30T12:29:30","indexId":"ofr20131051","displayToPublicDate":"2013-04-30T00:00:00","publicationYear":"2013","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":"2013-1051","title":"Water temperature and baseflow discharge of streams throughout the range of Rio Grande cutthroat trout in Colorado and New Mexico—2010 and 2011","docAbstract":"This study characterized the thermal regime in a number of Colorado and New Mexico streams that contain populations of Rio Grande cutthroat trout (Oncorhynchus clarkii virginalis) and had no previous record of continual temperature records. When compared to Colorado’s water temperature criteria (Cold Tier 1), a portion of these populations appeared to be at risk from elevated stream temperatures, as indicated by exceedance of both acute (17–22 percent) and chronic (2–9 percent) water quality metrics. Summer water temperature profiles recorded at sites within current Rio Grande cutthroat trout habitat indicated that although the majority of currently occupied conservation streams have temperatures that fall well below these biologically based acute and chronic thermal thresholds, several sites may be at or approaching water temperatures considered stressful to cutthroat trout. Further, water temperatures should be considered in decisions regarding the current and future thermal suitability of potential Rio Grande cutthroat trout restoration sites. Additionally, baseflow discharge sampling indicated that a majority of the sampled stream segments containing Rio Grande cutthroat trout have flows less than 1.0 cubic feet per second (cfs) in both 2010 (74 percent) and 2011 (77 percent). The relative drought sensitivity of these low baseflow streams containing Rio Grande cutthroat trout could be further evaluated to assess their probable sustainability under possible future drought conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131051","usgsCitation":"Zeigler, M., Todd, A., and Caldwell, C.A., 2013, Water temperature and baseflow discharge of streams throughout the range of Rio Grande cutthroat trout in Colorado and New Mexico—2010 and 2011: U.S. Geological Survey Open-File Report 2013-1051, Report: vi, 19 p.; Appendix A: Monitoring Site Data for Rio Grande Cutthroat Trout Populations Part 1 and Part 2 PDFs, https://doi.org/10.3133/ofr20131051.","productDescription":"Report: vi, 19 p.; Appendix A: Monitoring Site Data for Rio Grande Cutthroat Trout Populations Part 1 and Part 2 PDFs","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"links":[{"id":271663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131051.gif"},{"id":271661,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1051/Appendix%20A_1.pdf"},{"id":271659,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1051/"},{"id":271662,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1051/Appendix%20A_2.pdf"},{"id":271660,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1051/ofr2013-1051.pdf"}],"country":"United States","state":"Colorado;New Mexico;Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5180d9dde4b0df838b924d3d","contributors":{"authors":[{"text":"Zeigler, Matthew P.","contributorId":44401,"corporation":false,"usgs":true,"family":"Zeigler","given":"Matthew P.","affiliations":[],"preferred":false,"id":478154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd, Andrew S.","contributorId":33162,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew S.","affiliations":[],"preferred":false,"id":478153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":478152,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045674,"text":"sir20125290 - 2013 - Estimates of future inundation of salt marshes in response to sea-level rise in and around Acadia National Park, Maine","interactions":[],"lastModifiedDate":"2013-04-29T13:35:29","indexId":"sir20125290","displayToPublicDate":"2013-04-29T00:00:00","publicationYear":"2013","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":"2012-5290","title":"Estimates of future inundation of salt marshes in response to sea-level rise in and around Acadia National Park, Maine","docAbstract":"Salt marshes are ecosystems that provide many important ecological functions in the Gulf of Maine. The U.S. Geological Survey investigated salt marshes in and around Acadia National Park from Penobscot Bay to the Schoodic Peninsula to map the potential for landward migration of marshes using a static inundation model of a sea-level rise scenario of 60 centimeters (cm; 2 feet). The resulting inundation contours can be used by resource managers to proactively adapt to sea-level rise by identifying and targeting low-lying coastal areas adjacent to salt marshes for conservation or further investigation, and to identify risks to infrastructure in the coastal zone. For this study, the mapping of static inundation was based on digital elevation models derived from light detection and ranging (LiDAR) topographic data collected in October 2010. Land-surveyed control points were used to evaluate the accuracy of the LiDAR data in the study area, yielding a root mean square error of 11.3 cm. An independent accuracy assessment of the LiDAR data specific to salt-marsh land surfaces indicated a root mean square error of 13.3 cm and 95-percent confidence interval of  &plusmn; 26.0 cm. LiDAR-derived digital elevation models and digital color aerial photography, taken during low tide conditions in 2008, with a pixel resolution of 0.5 meters, were used to identify the highest elevation of the land surface at each salt marsh in the study area. Inundation contours for 60-cm of sea-level rise were delineated above the highest marsh elevation for each marsh. Confidence interval contours (95-percent,&plusmn;  26.0 cm) were delineated above and below the 60-cm inundation contours, and artificial structures, such as roads and bridges, that may present barriers to salt-marsh migration were mapped. This study delineated 114 salt marshes totaling 340 hectares (ha), ranging in size from 0.11 ha (marshes less than 0.2 ha were mapped only if they were on Acadia National Park property) to 52 ha, with a median size of 1.0 ha. Inundation contours were mapped at 110 salt marshes. Approximately 350 ha of low-lying upland areas adjacent to these marshes will be inundated with 60 cm of sea-level rise. Many of these areas are currently freshwater wetlands. There are potential barriers to marsh migration at 27 of the 114 marshes. Although only 23 percent of the salt marshes in the study are on ANP property, about half of the upland areas that will be inundated are within ANP; most of the predicted inundated uplands (approximately 170 ha) include freshwater wetlands in the Northeast Creek and Bass Harbor Marsh areas. Most of the salt marshes analyzed do not have a significant amount of upland area available for migration. Seventy-five percent of the salt marshes have 20 meters or less of adjacent upland that would be inundated along most of their edges. All inundation contours, salt marsh locations, potential barriers, and survey data are stored in geospatial files for use in a geographic information system and are a part of this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125290","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Nielsen, M.G., and Dudley, R.W., 2013, Estimates of future inundation of salt marshes in response to sea-level rise in and around Acadia National Park, Maine: U.S. Geological Survey Scientific Investigations Report 2012-5290, Report: viii, 20 p.; Appendix 1: Geospatial Data, https://doi.org/10.3133/sir20125290.","productDescription":"Report: viii, 20 p.; Appendix 1: Geospatial Data","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":271615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125290.gif"},{"id":271612,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5290/"},{"id":271613,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5290/pdf/sir2012-5290_nielsen_508.pdf"},{"id":271614,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5290/appendix.html"}],"scale":"24000","projection":"Universe Transverse Mercator, zone 19N","datum":"North American Datum of 1983","country":"United States","state":"Maine","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -68.6598,44.0059 ], [ -68.6598,44.4314 ], [ -68.0373,44.4314 ], [ -68.0373,44.0059 ], [ -68.6598,44.0059 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517f884fe4b0e41721f7a320","contributors":{"authors":[{"text":"Nielsen, Martha G. 0000-0003-3038-9400 mnielsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3038-9400","contributorId":4169,"corporation":false,"usgs":true,"family":"Nielsen","given":"Martha","email":"mnielsen@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478023,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045617,"text":"ofr20131066 - 2013 - Water temperatures in select nearshore environments of the Colorado River in Grand Canyon, Arizona, during the Low Steady Summer Flow experiment of 2000","interactions":[],"lastModifiedDate":"2013-04-26T12:19:33","indexId":"ofr20131066","displayToPublicDate":"2013-04-26T00:00:00","publicationYear":"2013","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":"2013-1066","title":"Water temperatures in select nearshore environments of the Colorado River in Grand Canyon, Arizona, during the Low Steady Summer Flow experiment of 2000","docAbstract":"Water releases from Glen Canyon Dam, Arizona, are the primary determinant of streamflow, sediment transport, water quality, and aquatic and riparian habitat availability in the Colorado River downstream of the dam in Grand Canyon. The presence and operation of the dam have transformed the seasonally warm Colorado River into a consistently cold river because of hypolimnetic, or deep-water, releases from the penstock withdrawal structures on the dam. These releases have substantially altered the thermal regime of the downstream riverine environment. This, in turn, has affected the biota of the river corridor, particularly native and nonnative fish communities and the aquatic food web.  In the spring and summer of 2000, a Low Steady Summer Flow experiment was conducted by the U.S. Geological Survey and the Bureau of Reclamation to evaluate the effects of the experimental flow on physical and biological resources of the Colorado River ecosystem downstream from Glen Canyon Dam to Lake Mead on the Arizona-Nevada border. This report describes the water temperatures collected during the experimental flow from 14 nearshore sites in the river corridor in Grand Canyon to assess the effects of steady releases on the thermal dynamics of nearshore environments. These nearshore areas are characterized by low-velocity flows with some degree of isolation from the higher velocity flows in the main channel and are hypothesized to be important rearing environments for young native fish.  Water-temperature measurements were made at 14 sites, ranging from backwater to open-channel environments. Warming during daylight hours, relative to main-channel temperatures, was measured at all sites in relation to the amount of isolation from the main-channel current. Boat traffic, amount of direct solar radiation, and degree of isolation from the main-channel current appear to be the primary factors affecting the differential warming of the nearshore environment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131066","usgsCitation":"Vernieu, W., and Anderson, C.R., 2013, Water temperatures in select nearshore environments of the Colorado River in Grand Canyon, Arizona, during the Low Steady Summer Flow experiment of 2000: U.S. Geological Survey Open-File Report 2013-1066, Report: vi, 44 p.; Data folder, https://doi.org/10.3133/ofr20131066.","productDescription":"Report: vi, 44 p.; Data folder","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":271510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131066.gif"},{"id":271509,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2013/1066/csv"},{"id":271507,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1066/"},{"id":271508,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1066/of2013-1066_text.pdf"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,35 ], [ -114,37.25 ], [ -111,37.25 ], [ -111,35 ], [ -114,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517b93d8e4b09d6a5f9a2eaa","contributors":{"authors":[{"text":"Vernieu, William S.","contributorId":49068,"corporation":false,"usgs":true,"family":"Vernieu","given":"William S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":477963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Craig R.","contributorId":42857,"corporation":false,"usgs":true,"family":"Anderson","given":"Craig","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":477962,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045614,"text":"sir20135022 - 2013 - Salmonids, stream temperatures, and solar loading--modeling the shade provided to the Klamath River by vegetation and geomorphology","interactions":[],"lastModifiedDate":"2013-04-26T09:14:32","indexId":"sir20135022","displayToPublicDate":"2013-04-26T00:00:00","publicationYear":"2013","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":"2013-5022","title":"Salmonids, stream temperatures, and solar loading--modeling the shade provided to the Klamath River by vegetation and geomorphology","docAbstract":"The U.S. Geological Survey is studying approaches to characterize the thermal regulation of water and the dynamics of cold water refugia. High temperatures have physiological impacts on anadromous fish species. Factors affecting the presence, variability, and quality of thermal refugia are known, such as riverine and watershed processes, hyporheic flows, deep pools and bathymetric factors, thermal stratification of reservoirs, and other broader climatic considerations. This research develops a conceptual model and methodological techniques to quantify the change in solar insolation load to the Klamath River caused by riparian and floodplain vegetation, the morphology of the river, and the orientation and topographic characteristics of its watersheds. Using multiple scales of input data from digital elevation models and airborne light detection and ranging (LiDAR) derivatives, different analysis methods yielded three different model results. These models are correlated with thermal infrared imagery for ground-truth information at the focal confluence with the Scott River. Results from nonparametric correlation tests, geostatistical cross-covariograms, and cross-correlograms indicate that statistical relationships between the insolation models and the thermal infrared imagery exist and are significant. Furthermore, the use of geostatistics provides insights to the spatial structure of the relationships that would not be apparent otherwise. To incorporate a more complete representation of the temperature dynamics in the river system, other variables including the factors mentioned above, and their influence on solar loading, are discussed. With similar datasets, these methods could be applied to any river in the United States—especially those listed as temperature impaired under Section 303(d) of the Clean Water Act—or international riverine systems. Considering the importance of thermal refugia for aquatic species, these methods can help investigate opportunities for riparian restoration, identify problematic reaches unlikely to provide good habitat, and simulate changes to solar loading estimates from alternative landscape configurations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135022","usgsCitation":"Forney, W.M., Soulard, C.E., and Chickadel, C.C., 2013, Salmonids, stream temperatures, and solar loading--modeling the shade provided to the Klamath River by vegetation and geomorphology: U.S. Geological Survey Scientific Investigations Report 2013-5022, iv, 26 p., https://doi.org/10.3133/sir20135022.","productDescription":"iv, 26 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":271506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135022.gif"},{"id":271504,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5022/"},{"id":271505,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5022/sir2013-5022.pdf"}],"country":"United States","state":"California","otherGeospatial":"Klamath River;Scott River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.85,41.36 ], [ -122.85,41.37 ], [ -122.82,41.37 ], [ -122.82,41.36 ], [ -122.85,41.36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517b93d7e4b09d6a5f9a2ea6","contributors":{"authors":[{"text":"Forney, William M.","contributorId":43490,"corporation":false,"usgs":true,"family":"Forney","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":477957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":477956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chickadel, C. Christopher","contributorId":106337,"corporation":false,"usgs":true,"family":"Chickadel","given":"C.","email":"","middleInitial":"Christopher","affiliations":[],"preferred":false,"id":477958,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045601,"text":"70045601 - 2013 - Influence of temperature on viral hemorrhagic septicemia (Genogroup IVa) in Pacific herring, <i>Clupea pallasii</i> Valenciennes","interactions":[],"lastModifiedDate":"2016-05-04T15:40:21","indexId":"70045601","displayToPublicDate":"2013-04-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2277,"text":"Journal of Experimental Marine Biology and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of temperature on viral hemorrhagic septicemia (Genogroup IVa) in Pacific herring, <i>Clupea pallasii</i> Valenciennes","docAbstract":"<p>An inverse relationship between water temperature and susceptibility of Pacific herring (<i>Clupea pallasii</i>) to viral hemorrhagic septicemia, genogroup IVa (VHS) was indicated by controlled exposure studies where cumulative mortalities, viral shedding rates, and viral persistence in survivors were greatest at the coolest exposure temperatures. Among groups of specific pathogen-free (SPF) Pacific herring maintained at 8, 11, and 15&nbsp;&deg;C, cumulative mortalities after waterborne exposure to viral hemorrhagic septicemia virus (VHSV) were 78%, 40%, and 13%, respectively. The prevalence of survivors with VHSV-positive tissues 25&nbsp;d post-exposure was 64%, 16%, and 0% (at 8, 11 and 15&nbsp;&deg;C, respectively) with viral prevalence typically higher in brain tissues than in kidney/spleen tissue pools at each temperature. Similarly, geometric mean viral titers in brain tissues and kidney/spleen tissue pools decreased at higher temperatures, and kidney/spleen titers were generally 10-fold lower than those in brain tissues at each temperature. This inverse relationship between temperature and VHS severity was likely mediated by an enhanced immune response at the warmer temperatures, where a robust type I interferon response was indicated by rapid and significant upregulation of the herring Mx gene. The effect of relatively small temperature differences on the susceptibility of a natural host to VHS provides insights into conditions that preface periodic VHSV epizootics in wild populations throughout the NE Pacific.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jembe.2013.03.006","usgsCitation":"Hershberger, P., Purcell, M.K., Hart, L., Gregg, J., Thompson, R., Garver, K., and Winton, J., 2013, Influence of temperature on viral hemorrhagic septicemia (Genogroup IVa) in Pacific herring, <i>Clupea pallasii</i> Valenciennes: Journal of Experimental Marine Biology and Ecology, v. 444, p. 81-86, https://doi.org/10.1016/j.jembe.2013.03.006.","productDescription":"6 p.","startPage":"81","endPage":"86","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042244","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":271488,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"444","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517a425ce4b072c16ef14ae3","contributors":{"authors":[{"text":"Hershberger, P.K. 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":58818,"corporation":false,"usgs":true,"family":"Hershberger","given":"P.K.","affiliations":[],"preferred":false,"id":477937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Purcell, M. K.","contributorId":78464,"corporation":false,"usgs":true,"family":"Purcell","given":"M.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":477939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, L.M.","contributorId":44008,"corporation":false,"usgs":true,"family":"Hart","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":477936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gregg, J.L.","contributorId":78521,"corporation":false,"usgs":true,"family":"Gregg","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":477940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, R.L.","contributorId":77445,"corporation":false,"usgs":true,"family":"Thompson","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":477938,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garver, K.A.","contributorId":42766,"corporation":false,"usgs":true,"family":"Garver","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":477935,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winton, J. R. 0000-0002-3505-5509","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":82441,"corporation":false,"usgs":true,"family":"Winton","given":"J. R.","affiliations":[],"preferred":false,"id":477941,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70118247,"text":"70118247 - 2013 - Simulating boreal forest carbon dynamics after stand-replacing fire disturbance: insights from a global process-based vegetation model","interactions":[],"lastModifiedDate":"2014-07-28T09:29:07","indexId":"70118247","displayToPublicDate":"2013-04-24T09:24:36","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Simulating boreal forest carbon dynamics after stand-replacing fire disturbance: insights from a global process-based vegetation model","docAbstract":"Stand-replacing fires are the dominant fire type in North American boreal forests. They leave a historical legacy of a mosaic landscape of different aged forest cohorts. This forest age dynamics must be included in vegetation models to accurately quantify the role of fire in the historical and current regional forest carbon balance. The present study adapted the global process-based vegetation model ORCHIDEE to simulate the CO<sub>2</sub> emissions from boreal forest fire and the subsequent recovery after a stand-replacing fire; the model represents postfire new cohort establishment, forest stand structure and the self-thinning process. Simulation results are evaluated against observations of three clusters of postfire forest chronosequences in Canada and Alaska. The variables evaluated include: fire carbon emissions, CO<sub>2</sub> fluxes (gross primary production, total ecosystem respiration and net ecosystem exchange), leaf area index, and biometric measurements (aboveground biomass carbon, forest floor carbon, woody debris carbon, stand individual density, stand basal area, and mean diameter at breast height). When forced by local climate and the atmospheric CO<sub>2</sub> history at each chronosequence site, the model simulations generally match the observed CO<sub>2</sub> fluxes and carbon stock data well, with model-measurement mean square root of deviation comparable with the measurement accuracy (for CO<sub>2</sub> flux ~100 g C m<sup>−2</sup> yr<sup>−1</sup>, for biomass carbon ~1000 g C m<sup>−2</sup> and for soil carbon ~2000 g C m<sup>−2</sup>). We find that the current postfire forest carbon sink at the evaluation sites, as observed by chronosequence methods, is mainly due to a combination of historical CO<sub>2</sub> increase and forest succession. Climate change and variability during this period offsets some of these expected carbon gains. The negative impacts of climate were a likely consequence of increasing water stress caused by significant temperature increases that were not matched by concurrent increases in precipitation. Our simulation results demonstrate that a global vegetation model such as ORCHIDEE is able to capture the essential ecosystem processes in fire-disturbed boreal forests and produces satisfactory results in terms of both carbon fluxes and carbon-stock evolution after fire. This makes the model suitable for regional simulations in boreal regions where fire regimes play a key role in the ecosystem carbon balance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","publisherLocation":"Göttingen, Germany","doi":"10.5194/bg-10-8233-2013","usgsCitation":"Yue, C., Ciais, P., Luyssaert, S., Cadule, P., Harden, J., Randerson, J., Bellassen, V., Wang, T., Piao, S., Poulter, B., and Viovy, N., 2013, Simulating boreal forest carbon dynamics after stand-replacing fire disturbance: insights from a global process-based vegetation model: Biogeosciences, v. 10, no. 12, p. 8233-8252, https://doi.org/10.5194/bg-10-8233-2013.","productDescription":"20 p.","startPage":"8233","endPage":"8252","numberOfPages":"20","costCenters":[],"links":[{"id":473862,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-10-8233-2013","text":"Publisher Index Page"},{"id":291091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291090,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/bg-10-8233-2013"}],"volume":"10","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-12-13","publicationStatus":"PW","scienceBaseUri":"57f7f301e4b0bc0bec0a0710","contributors":{"authors":[{"text":"Yue, C.","contributorId":49283,"corporation":false,"usgs":true,"family":"Yue","given":"C.","email":"","affiliations":[],"preferred":false,"id":496561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ciais, P.","contributorId":39604,"corporation":false,"usgs":true,"family":"Ciais","given":"P.","affiliations":[],"preferred":false,"id":496559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luyssaert, S.","contributorId":94230,"corporation":false,"usgs":true,"family":"Luyssaert","given":"S.","email":"","affiliations":[],"preferred":false,"id":496567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cadule, P.","contributorId":85521,"corporation":false,"usgs":true,"family":"Cadule","given":"P.","email":"","affiliations":[],"preferred":false,"id":496566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harden, J.","contributorId":43918,"corporation":false,"usgs":true,"family":"Harden","given":"J.","email":"","affiliations":[],"preferred":false,"id":496560,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Randerson, J.","contributorId":94458,"corporation":false,"usgs":true,"family":"Randerson","given":"J.","affiliations":[],"preferred":false,"id":496568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bellassen, V.","contributorId":72721,"corporation":false,"usgs":true,"family":"Bellassen","given":"V.","email":"","affiliations":[],"preferred":false,"id":496564,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, T.","contributorId":53707,"corporation":false,"usgs":true,"family":"Wang","given":"T.","affiliations":[],"preferred":false,"id":496563,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Piao, S.L.","contributorId":28911,"corporation":false,"usgs":true,"family":"Piao","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":496558,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Poulter, B.","contributorId":49718,"corporation":false,"usgs":true,"family":"Poulter","given":"B.","email":"","affiliations":[],"preferred":false,"id":496562,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Viovy, N.","contributorId":81421,"corporation":false,"usgs":true,"family":"Viovy","given":"N.","email":"","affiliations":[],"preferred":false,"id":496565,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70045589,"text":"70045589 - 2013 - Emergence of MD type infectious hematopoietic necrosis virus in Washington State coastal steelhead trout","interactions":[],"lastModifiedDate":"2016-05-04T14:39:45","indexId":"70045589","displayToPublicDate":"2013-04-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Emergence of MD type infectious hematopoietic necrosis virus in Washington State coastal steelhead trout","docAbstract":"<p class=\"abstract_block\">Infectious hematopoietic necrosis virus (IHNV) occurs in North America as 3 major phylogenetic groups designated U, M, and L. In coastal Washington State, IHNV has historically consisted of U genogroup viruses found predominantly in sockeye salmon <i>Oncorhynchus nerka</i>. M genogroup IHNV, which has host-specific virulence for rainbow and steelhead trout <i>O. mykiss</i>, was detected only once in coastal Washington prior to 2007, in an epidemic among juvenile steelhead trout in 1997. Beginning in 2007 and continuing through 2011, there were 8 IHNV epidemics in juvenile steelhead trout, involving 7 different fish culture facilities in 4 separate watersheds. During the same time period, IHNV was also detected in asymptomatic adult steelhead trout from 6 coastal watersheds. Genetic typing of 283 recent virus isolates from coastal Washington revealed that the great majority were in the M genogroup of IHNV and that there were 2 distinct waves of viral emergence between the years 2007 and 2011. IHNV type mG110M was dominant in coastal steelhead trout during 2007 to 2009, and type mG139M was dominant between 2010 and 2011. Phylogenetic analysis of viral isolates indicated that all coastal M genogroup viruses detected in 1997 and 2007 to 2011 were part of the MD subgroup and that several novel genetic variants related to the dominant types arose in the coastal sites. Comparison of spatial and temporal incidence of coastal MD viruses with that of the rest of the Pacific Northwest indicated that the likely source of the emergent viruses was Columbia River Basin steelhead trout.&nbsp;</p>","language":"English","publisher":"Inter-Research Science Center","doi":"10.3354/dao02596","usgsCitation":"Breyta, R., Jones, A., Stewart, B., Brunson, R., Thomas, J., Kerwin, J., Bertolini, J., Mumford, S., Patterson, C., and Kurath, G., 2013, Emergence of MD type infectious hematopoietic necrosis virus in Washington State coastal steelhead trout: Diseases of Aquatic Organisms, v. 104, no. 3, p. 179-195, https://doi.org/10.3354/dao02596.","productDescription":"17 p.","startPage":"179","endPage":"195","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036460","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473863,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index 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