For years, hydrologists have defined potentiometric surfaces using measured hydraulic-head values in water wells from aquifers. Down-dip, the oil and gas industry is also interested in the formation pressures of many of the same geologic formations for the purpose of hydrocarbon recovery. In oil and gas exploration, drillstem tests (DSTs) provide the formation pressure for a given depth interval in a well. These DST measurements can be used to calculate hydraulic-head values in deep hydrocarbon-bearing formations in areas where water wells do not exist. Unlike hydraulic-head measurements in water wells, which have a low number of problematic data points (outliers), only a small subset of the DST data measure true formation pressures.
\nUsing 3D imaging capabilities to view and clean the data, we have developed a process to estimate potentiometric surfaces from erratic DST data sets of hydrocarbon-bearing formations in the midcontinent of the U.S. The analysis indicates that the potentiometric surface is more readily defined through human interpretation of the chaotic DST data sets rather than through the application of filtering and geostatistical analysis. The data are viewed as a series of narrow, 400-mile-long swaths and a 2D viewer is used to select a subset of hydraulic-head values that represent the potentiometric surface. The user-selected subsets for each swath are then combined into one data set for each formation. These data are then joined with the hydraulic-head values from water wells to define the 3D potentiometric surfaces. The final product is an interactive, 3D digital display containing: (1) the subsurface structure of the formation, (2) the cluster of DST-derived hydraulic head values, (3) the user-selected subset of hydraulic-head values that define the potentiometric surface, (4) the hydraulic-head measurements from the corresponding shallow aquifer, (5) the resulting potentiometric surface encompassing both oil and gas and water wells, and (6) the land surface elevation of the region. Examples from the midcontinent of the United States, specifically Kansas, Oklahoma, and parts of adjacent states illustrate the process.
","largerWorkTitle":"125th Anniversary Annual Meeting & Expo: The Geological Society of America","conferenceTitle":"125th Anniversary Annual Meeting & Expo: The Geological Society of America","conferenceDate":"2013-10-27T00:00:00","conferenceLocation":"Denver, CO","language":"English","publisher":"The Geological Society of America 2013 Annual Meeting","publisherLocation":"New York, NY","usgsCitation":"Gianoutsos, N.J., and Nelson, P.H., 2013, Creating potentiometric surfaces from combined water well and oil well data in the midcontinent of the United States, 14 p.","productDescription":"14 p.","numberOfPages":"14","ipdsId":"IP-053110","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":289368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281598,"type":{"id":15,"text":"Index Page"},"url":"https://gsa.confex.com/gsa/2013AM/webprogram/Paper226579.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b0dde4b0388651d916a8","contributors":{"authors":[{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489425,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048693,"text":"ofr20131156 - 2013 - Characterization of cyanophyte biomass in a Bureau of Reclamation reservoir","interactions":[],"lastModifiedDate":"2013-11-14T16:17:18","indexId":"ofr20131156","displayToPublicDate":"2013-10-30T09:07:00","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":"2013-1156","title":"Characterization of cyanophyte biomass in a Bureau of Reclamation reservoir","docAbstract":"The purpose of this study was to characterize the cyanophyte Aphanizomenon flos-aquae (AFA) from Upper Klamath Lake, Oregon, (UKL) and, based on this description, explore uses for AFA, which would have commercial value. AFA collected from UKL in 2010 from eight sites during a period of approximately 2 weeks were similar in composition spatially and temporally. 31P nuclear magnetic resonance analysis of the samples indicated that the AFA samples contained a broad range of phosphorus-containing compounds. The largest variation in organic phosphorus compounds was found in a sample collected from Howard Bay compared with samples collected the sites at Pelican Marina, North Buck Island, Eagle Ridge, Eagle Ridge South, Shoalwater Bay, and Agency Lake South. 31P Nuclear Magnetic Resonance data indicated that the average ratio of inorganic phosphorus (orthophosphate) to organic phosphorus in the AFA samples was approximately 60:40 in extraction solutions of either water or a more rigorous solution of sodium hydroxide plus ethylenediaminetetraacetic acid. This indicates that when AFA cells senesce, die and lyse, cell contents added to the water column contain a broad spectrum of phosphorus-containing compounds approximately 50 percent of which are organic phosphorus compounds. The organic phosphorus content of AFA is directly and significantly related to the total carbon content of AFA. Total concentrations of the elements Al, Ca, Fe, Mg, Ti and Zn were similar in all samples with the exception of elevated iron in the July 27, 2010, sample from Pelican Marina. Iron concentration in the July 27, 2010, Pelican Marina sample was elevated; the concentration of iron in the August 9, 2010, sample from Pelican Marina was indistinguishable from iron in the other AFA samples that were collected. The carbon to nitrogen ratio in all AFA samples that were analyzed was 5.4 plus or minus 0.04 as compared with the Redfield ratio of carbon to nitrogen ratio of 6.6, which could be attributed to the large concentrations of nitrogen (protein) in AFA or to optimal growth rate. In UKL there is a concern that microcystin, the toxin produced by microcystis, might be present in what appears to be predominantly AFA in the lake water. Experiments preformed as part of this study identified a process that reduces the toxicity of microcystin when it is present in water slurry containing AFA. The process combines (1) the inhibition of the α, ß-unsaturated carbonyl in microcystin with (2) the breakdown of proteins in AFA using the protease activity of plant enzymes. Protease enzymes can break peptide bonds in microcystin, which results in destruction of the cyclic structure of the microcystin polypeptide. Laboratory conditions used in this study resulted in the inactivation of approximately 60 percent of the activity of microcystin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131156","collaboration":"Prepared in cooperation with the U.S. Bureau of Reclamation","usgsCitation":"Simon, N.S., Ali, A.A., Samperton, K.M., Korson, C.S., Fischer, K., and Hughes, M.L., 2013, Characterization of cyanophyte biomass in a Bureau of Reclamation reservoir: U.S. Geological Survey Open-File Report 2013-1156, ix, 59 p., https://doi.org/10.3133/ofr20131156.","productDescription":"ix, 59 p.","numberOfPages":"68","onlineOnly":"Y","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":278577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131156.gif"},{"id":278575,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1156/"},{"id":278576,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1156/of2013-1156.pdf"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.106,42.233 ], [ -122.106,42.599 ], [ -121.802,42.599 ], [ -121.802,42.233 ], [ -122.106,42.233 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52721c52e4b0ce70249c6262","contributors":{"authors":[{"text":"Simon, Nancy S. 0000-0003-2706-7611 nssimon@usgs.gov","orcid":"https://orcid.org/0000-0003-2706-7611","contributorId":838,"corporation":false,"usgs":true,"family":"Simon","given":"Nancy","email":"nssimon@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":485442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ali, Ahmad Abdul","contributorId":25853,"corporation":false,"usgs":true,"family":"Ali","given":"Ahmad","email":"","middleInitial":"Abdul","affiliations":[],"preferred":false,"id":485444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Samperton, Kyle Michael","contributorId":11926,"corporation":false,"usgs":true,"family":"Samperton","given":"Kyle","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":485443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Korson, Charles S.","contributorId":85494,"corporation":false,"usgs":true,"family":"Korson","given":"Charles","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":485447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fischer, Kris","contributorId":54101,"corporation":false,"usgs":true,"family":"Fischer","given":"Kris","email":"","affiliations":[],"preferred":false,"id":485446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hughes, Michael L.","contributorId":43265,"corporation":false,"usgs":true,"family":"Hughes","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485445,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70144456,"text":"70144456 - 2013 - Improving regression-model-based streamwater constituent load estimates derived from serially correlated data","interactions":[],"lastModifiedDate":"2015-03-30T14:05:44","indexId":"70144456","displayToPublicDate":"2013-10-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Improving regression-model-based streamwater constituent load estimates derived from serially correlated data","docAbstract":"A regression-model based approach is a commonly used, efficient method for estimating streamwater constituent load when there is a relationship between streamwater constituent concentration and continuous variables such as streamwater discharge, season and time. A subsetting experiment using a 30-year dataset of daily suspended sediment observations from the Mississippi River at Thebes, Illinois, was performed to determine optimal sampling frequency, model calibration period length, and regression model methodology, as well as to determine the effect of serial correlation of model residuals on load estimate precision. Two regression-based methods were used to estimate streamwater loads, the Adjusted Maximum Likelihood Estimator (AMLE), and the composite method, a hybrid load estimation approach. While both methods accurately and precisely estimated loads at the model’s calibration period time scale, precisions were progressively worse at shorter reporting periods, from annually to monthly. Serial correlation in model residuals resulted in observed AMLE precision to be significantly worse than the model calculated standard errors of prediction. The composite method effectively improved upon AMLE loads for shorter reporting periods, but required a sampling interval of at least 15-days or shorter, when the serial correlations in the observed load residuals were greater than 0.15. AMLE precision was better at shorter sampling intervals and when using the shortest model calibration periods, such that the regression models better fit the temporal changes in the concentration–discharge relationship. The models with the largest errors typically had poor high flow sampling coverage resulting in unrepresentative models. Increasing sampling frequency and/or targeted high flow sampling are more efficient approaches to ensure sufficient sampling and to avoid poorly performing models, than increasing calibration period length.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.09.001","usgsCitation":"Aulenbach, B.T., 2013, Improving regression-model-based streamwater constituent load estimates derived from serially correlated data: Journal of Hydrology, v. 503, p. 55-66, https://doi.org/10.1016/j.jhydrol.2013.09.001.","productDescription":"12 p.","startPage":"55","endPage":"66","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1980-10-01","temporalEnd":"2010-09-30","ipdsId":"IP-050633","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":299141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","city":"Thebes","otherGeospatial":"Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.46922302246094,\n 37.18609994167537\n ],\n [\n -89.46922302246094,\n 37.229303292139896\n ],\n [\n -89.44785118103027,\n 37.229303292139896\n ],\n [\n -89.44785118103027,\n 37.18609994167537\n ],\n [\n -89.46922302246094,\n 37.18609994167537\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"503","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551a75f8e4b03238427835b0","contributors":{"authors":[{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543628,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048683,"text":"70048683 - 2013 - Gastric evacuation rate, index of fullness, and daily ration of Lake Michigan slimy sculpin (Cottus cognatus) and deepwater sculpin (Myoxocephalus thompsonii)","interactions":[],"lastModifiedDate":"2013-10-30T08:24:53","indexId":"70048683","displayToPublicDate":"2013-10-29T13:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Gastric evacuation rate, index of fullness, and daily ration of Lake Michigan slimy sculpin (Cottus cognatus) and deepwater sculpin (Myoxocephalus thompsonii)","docAbstract":"Accurate estimates of fish consumption are required to understand trophic interactions and facilitate ecosystem-based fishery management. Despite their importance within the food-web, no method currently exists to estimate daily consumption for Great Lakes slimy (Cottus cognatus) and deepwater sculpin (Myoxocephalus thompsonii). We conducted experiments to estimate gastric evacuation (GEVAC) and collected field data from Lake Michigan to estimate index of fullness [(g prey/g fish weight)100%) to determine daily ration for water temperatures ranging 2–5 °C, coinciding with the winter and early spring season. Exponential GEVAC rates equaled 0.0115/h for slimy sculpin and 0.0147/h for deepwater sculpin, and did not vary between 2.7 °C and 5.1 °C for either species or between prey types (Mysis relicta and fish eggs) for slimy sculpin. Index of fullness varied with fish size, and averaged 1.93% and 1.85% for slimy and deepwater sculpins, respectively. Maximum index of fullness was generally higher (except for the smallest sizes) for both species in 2009–2010 than in 1976 despite reductions in a primary prey, Diporeia spp. Predictive daily ration equations were derived as a function of fish dry weight. Estimates of daily consumption ranged from 0.2 to 0.8% of their body weight, which was within the low range of estimates from other species at comparably low water temperatures. These results provide a tool to estimate the consumptive demand of sculpins which will improve our understanding of benthic offshore food webs and aid in management and restoration of these native species in the Great Lakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.03.007","usgsCitation":"Mychek-Londer, J., and Bunnell, D., 2013, Gastric evacuation rate, index of fullness, and daily ration of Lake Michigan slimy sculpin (Cottus cognatus) and deepwater sculpin (Myoxocephalus thompsonii): Journal of Great Lakes Research, v. 39, no. 2, p. 327-335, https://doi.org/10.1016/j.jglr.2013.03.007.","productDescription":"p. 9","startPage":"327","endPage":"335","additionalOnlineFiles":"N","ipdsId":"IP-044732","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278540,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.03.007"}],"otherGeospatial":"Lake Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.0489,41.6199 ], [ -88.0489,46.1022 ], [ -84.756,46.1022 ], [ -84.756,41.6199 ], [ -88.0489,41.6199 ] ] ] } } ] }","volume":"39","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cafbe4b0f7a10664c77c","contributors":{"authors":[{"text":"Mychek-Londer, Justin G.","contributorId":64138,"corporation":false,"usgs":true,"family":"Mychek-Londer","given":"Justin G.","affiliations":[],"preferred":false,"id":485421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":485420,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048673,"text":"ofr20131260 - 2013 - Emergency assessment of post-fire debris-flow hazards for the 2013 Rim Fire, Stanislaus National Forest and Yosemite National Park, California","interactions":[],"lastModifiedDate":"2013-11-14T18:02:06","indexId":"ofr20131260","displayToPublicDate":"2013-10-29T10:56:00","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":"2013-1260","title":"Emergency assessment of post-fire debris-flow hazards for the 2013 Rim Fire, Stanislaus National Forest and Yosemite National Park, California","docAbstract":"Wildfire can significantly alter the hydrologic response of a watershed to the extent that even modest rainstorms can produce dangerous flash floods and debris flows. In this report, empirical models are used to predict the probability and magnitude of debris-flow occurrence in response to a 10-year rainstorm for the 2013 Rim fire in Yosemite National Park and the Stanislaus National Forest, California. Overall, the models predict a relatively high probability (60–80 percent) of debris flow for 28 of the 1,238 drainage basins in the burn area in response to a 10-year recurrence interval design storm. Predictions of debris-flow volume suggest that debris flows may entrain a significant volume of material, with 901 of the 1,238 basins identified as having potential debris-flow volumes greater than 10,000 cubic meters. These results of the relative combined hazard analysis suggest there is a moderate likelihood of significant debris-flow hazard within and downstream of the burn area for nearby populations, infrastructure, wildlife, and water resources. Given these findings, we recommend that residents, emergency managers, and public works departments pay close attention to weather forecasts and National-Weather-Service-issued Debris Flow and Flash Flood Outlooks, Watches and Warnings and that residents adhere to any evacuation orders.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131260","usgsCitation":"Staley, D.M., 2013, Emergency assessment of post-fire debris-flow hazards for the 2013 Rim Fire, Stanislaus National Forest and Yosemite National Park, California: U.S. Geological Survey Open-File Report 2013-1260, Report: iv, 11 p.; 3 Plates: 54.67 x 43.39 inches or smaller, https://doi.org/10.3133/ofr20131260.","productDescription":"Report: iv, 11 p.; 3 Plates: 54.67 x 43.39 inches or smaller","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":278521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131260.gif"},{"id":278517,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1260/pdf/of2013-1260.pdf"},{"id":278518,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1260/pdf/of2013-1260_Plate1.pdf"},{"id":278519,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1260/pdf/of2013-1260_Plate2.pdf"},{"id":278520,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1260/pdf/of2013-1260_Plate3.pdf"},{"id":278516,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1260/"}],"projection":"Universal Transverse Mercator","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Stanislaus National Forest;Yosemite National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.319948,37.550566 ], [ -120.319948,38.250044 ], [ -119.629869,38.250044 ], [ -119.629869,37.550566 ], [ -120.319948,37.550566 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cafbe4b0f7a10664c770","contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":485383,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048670,"text":"sir20135169 - 2013 - Nitrate in the Mississippi River and its tributaries, 1980-2010: an update","interactions":[],"lastModifiedDate":"2013-11-14T18:05:50","indexId":"sir20135169","displayToPublicDate":"2013-10-29T09:54:00","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":"2013-5169","title":"Nitrate in the Mississippi River and its tributaries, 1980-2010: an update","docAbstract":"Nitrate concentration and flux were estimated from 1980 through 2010 at eight sites in the Mississippi River Basin as part of the National Water-Quality Assessment (NAWQA) Program of the U.S. Geological Survey (USGS). These estimates extend the results from a previous investigation that provided nitrate estimates from 1980 through 2008 at the same sites. From 1980 through 2010, annual flow-normalized (FN) nitrate concentration and flux in the Iowa and Illinois Rivers decreased by 11 to 15 percent. These two rivers had the highest FN nitrate concentration in 1980 (5.3 milligrams per liter [mg/L] and 3.9 mg/L, respectively) of any of the study sites. Nitrate increased in the Missouri River (79 and 45 percent increase in FN concentration and flux, respectively), and at the four sites on the Mississippi River (17 to 70 percent increase in FN concentration and 8 to 55 percent increase in FN flux) from 1980 through 2010. Nitrate in the Ohio River was generally stable during this time. Historically, nitrate was high and changed little in the Iowa and Illinois Rivers; however, nitrate concentrations began to decrease around 2000, and this decrease continued through 2010. Also during this time, near-flat nitrate trends in lower sections of the Mississippi River began increasing, likely reflecting the acceleration of already increasing nitrate trends in the upper Mississippi and Missouri Rivers, in addition to increases in inputs from other tributaries in the lower part of the Mississippi River Basin. Spring trends (April through June) generally parallel annual trends at all sites from 1980 through 2010, except in the Iowa River where decreasing nitrate during the spring was not observed. In general, most sites had increases in nitrate concentration at low streamflows, which suggests increases in legacy nitrate from groundwater or point source contributions. In aggregate, the decreases in nitrate concentrations from the Iowa and Illinois Rivers, which largely occurred during high flows, appear to be overshadowed by increasing nitrate concentrations across much of the Mississippi River Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135169","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Murphy, J.C., Hirsch, R.M., and Sprague, L.A., 2013, Nitrate in the Mississippi River and its tributaries, 1980-2010: an update: U.S. Geological Survey Scientific Investigations Report 2013-5169, vi, 31 p., https://doi.org/10.3133/sir20135169.","productDescription":"vi, 31 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1980-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":278509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135169.jpg"},{"id":278507,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5169/"},{"id":278508,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5169/pdf/sir20135169.pdf"}],"country":"United States","otherGeospatial":"Gulf Of Mexico;Illinois River;Iowa River;Mississippi River Basin;Missouri River;Ohio River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.21,28.65 ], [ -114.21,49.98 ], [ -76.6,49.98 ], [ -76.6,28.65 ], [ -114.21,28.65 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5270cafee4b0f7a10664c79d","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":485365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":485364,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048650,"text":"sir20135151 - 2013 - Groundwater contributions of flow, nitrate, and dissolved organic carbon to the lower San Joaquin River, California, 2006-08","interactions":[],"lastModifiedDate":"2013-11-14T14:50:52","indexId":"sir20135151","displayToPublicDate":"2013-10-29T08:58:00","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":"2013-5151","title":"Groundwater contributions of flow, nitrate, and dissolved organic carbon to the lower San Joaquin River, California, 2006-08","docAbstract":"The influence of groundwater on surface-water quality in the San Joaquin River, California, was examined for a 59-mile reach from the confluence with Salt Slough to Vernalis. The primary objective of this study was to quantify the rate of groundwater discharged to the lower San Joaquin River and the contribution of nitrate and dissolved organic carbon concentrations to the river. Multiple lines of evidence from four independent approaches were used to characterize groundwater contributions of nitrogen and dissolved organic carbon. Monitoring wells (in-stream and bank wells), streambed synoptic surveys (stream water and shallow groundwater), longitudinal profile surveys by boat (continuous water-quality parameters in the stream), and modeling (MODFLOW and VS2DH) provided a combination of temporal, spatial, quantitative, and qualitative evidence of groundwater contributions to the river and the associated quality. Monitoring wells in nested clusters in the streambed (in-stream wells) and on both banks (bank wells) along the river were monitored monthly from September 2006 to January 2009. Nitrate concentrations in the bank wells ranged from less than detection—that is, less than 0.01 milligrams per liter (mg/L) as nitrogen (N)—to approximately 13 mg/L as N. Nitrate was not detected at 17 of 26 monitoring wells during the study period. Dissolved organic carbon concentrations among monitoring wells were highly variable, but they generally ranged from 1 to 4 mg/L. In a previous study, 14 bank wells were sampled once in 1988 following their original installation. With few exceptions, specific conductivity and nitrate concentrations measured in this study were virtually identical to those measured 20 years ago. Streambed synoptic measurements were made by using a temporarily installed drive-point piezometer at 113 distinct transects across the stream during 4 sampling events. Nitrate concentrations exceeded the detection limit of 0.01 mg/L as N in 5 percent of groundwater samples collected from the in-stream wells as part of the synoptic surveys. Only 7 of the 113 cross-sectional transects had nitrate concentrations greater than 1 mg/L as N. In contrast, surface waters in the San Joaquin River tended to have nitrate concentrations in the 1–3 mg/L as N range. A zone of lower oxygen (less than 2 mg/L) in the streambed could limit nitrate contributions from regional groundwater flow because nitrate can be converted to nitrogen gas within this zone. Appreciable concentrations of ammonium (average concentration was 1.92 mg/L as N, and 95th percentile was 10.34 mg/L as N) in the shallow groundwater, believed to originate from anoxic mineralization of streambed sediments, could contribute nitrogen to the overlying stream as nitrate following in-stream nitrification, however. Dissolved organic carbon concentrations were highly variable in the shallow groundwater below the river (1 to 6 ft below streambed) and generally ranged between 1 and 5 mg/L, but had maximum concentrations in the 15–25 mg/L range. The longitudinal profile surveys were not particularly useful in identifying groundwater discharge areas. However, the longitudinal approach described in this report was useful as a baseline survey of measured water-quality parameters and for identifying tributary inflows that affect surface-water concentrations of nitrate. Results of the calibrated MODFLOW model indicated that the simulated groundwater discharge rate was approximately 1.0 cubic foot per second per mile (cfs/mi), and the predominant horizontal groundwater flow direction between the deep bank wells was westward beneath the river. The modeled (VS2DH) flux values (river gain versus river loss) were calculated for the irrigation and non-irrigation season, and these fluxes were an order of magnitude less than those from MODFLOW. During the irrigation season, the average river gain was 0.11 cfs/mi, and the average river loss was −0.05 cfs/mi. During the non-irrigation season, the average river gain was 0.10 cfs/mi, and the average river loss was -0.08 cfs/mi. Information on groundwater interactions and water quality collected for this study was used to estimate loads of nitrate and dissolved organic carbon from the groundwater to the San Joaquin River. Estimated loads of dissolved inorganic nitrogen and dissolved organic carbon were calculated by using concentrations measured during four streambed synoptic surveys and the estimated groundwater discharge rate to the San Joaquin River from MODFLOW of 1 cfs/mi. The estimated groundwater loads to the San Joaquin River for dissolved inorganic nitrogen and dissolved organic carbon were 300 and 350 kilograms per day, respectively. These loads represent 9 and 7 percent, respectively, of the estimated instantaneous surface-water loads for dissolved inorganic nitrogen and dissolved organic carbon at the most downstream site, Vernalis, measured during the four streambed synoptic surveys.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135151","collaboration":"Prepared in cooperation with the University of California at Davis and CALFED Drinking Water Quality Program","usgsCitation":"Zamora, C., Dahlgren, R., Kratzer, C.R., Downing, B.D., Russell, A.D., Dileanis, P.D., Bergamaschi, B., and Phillips, S.P., 2013, Groundwater contributions of flow, nitrate, and dissolved organic carbon to the lower San Joaquin River, California, 2006-08: U.S. Geological Survey Scientific Investigations Report 2013-5151, Report: xii, 105 p.; Appendix 4: CSV file; Appendix 5: CSV file; Appendix 6: CSV file; Appendix 7: CSV file; Appendix 8: CSV file, https://doi.org/10.3133/sir20135151.","productDescription":"Report: xii, 105 p.; Appendix 4: CSV file; Appendix 5: CSV file; Appendix 6: CSV file; Appendix 7: CSV file; Appendix 8: CSV file","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":278467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135151.jpg"},{"id":278460,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5151/"},{"id":278461,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5151/pdf/sir2013-5151.pdf"},{"id":278462,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5151/data/sir2013-5151_App5.csv"},{"id":278463,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5151/data/sir2013-5151_App4.csv"},{"id":278464,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5151/data/sir2013-5151_App8.csv"},{"id":278466,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5151/data/sir2013-5151_App7.csv"},{"id":278465,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5151/data/sir2013-5151_App6.csv"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.3303,36.8071 ], [ -121.3303,38.0048 ], [ -119.2264,38.0048 ], [ -119.2264,36.8071 ], [ -121.3303,36.8071 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f21de4b0bc0bec0a01be","contributors":{"authors":[{"text":"Zamora, Celia 0000-0003-1456-4360 czamora@usgs.gov","orcid":"https://orcid.org/0000-0003-1456-4360","contributorId":1514,"corporation":false,"usgs":true,"family":"Zamora","given":"Celia","email":"czamora@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dahlgren, Randy A.","contributorId":48630,"corporation":false,"usgs":true,"family":"Dahlgren","given":"Randy A.","affiliations":[],"preferred":false,"id":485297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kratzer, Charles R.","contributorId":30619,"corporation":false,"usgs":true,"family":"Kratzer","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":485296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russell, Ann D.","contributorId":105637,"corporation":false,"usgs":true,"family":"Russell","given":"Ann","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":485300,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dileanis, Peter D. dileanis@usgs.gov","contributorId":71541,"corporation":false,"usgs":true,"family":"Dileanis","given":"Peter","email":"dileanis@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":73241,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","affiliations":[],"preferred":false,"id":485299,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Phillips, Steven P. 0000-0002-5107-868X sphillip@usgs.gov","orcid":"https://orcid.org/0000-0002-5107-868X","contributorId":1506,"corporation":false,"usgs":true,"family":"Phillips","given":"Steven","email":"sphillip@usgs.gov","middleInitial":"P.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485294,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70047490,"text":"70047490 - 2013 - Monitoring change in Great Salt Lake","interactions":[],"lastModifiedDate":"2017-01-17T10:19:25","indexId":"70047490","displayToPublicDate":"2013-10-29T08:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring change in Great Salt Lake","docAbstract":"Despite the ecological and economic importance of Great Salt Lake, only limited water quality monitoring has occurred historically. To change this, new monitoring stations and networks—gauges of lake level height and rate of inflow, moored buoys, and multiple lake-bottom sensors—will provide important information that can be used to make informed decisions regarding future management of the Great Salt Lake ecosystem.","largerWorkTitle":"Eos, Transactions American Geophysical Union","language":"English","publisher":"Wiley","doi":"10.1002/2013EO330001","usgsCitation":"Naftz, D.L., Angeroth, C.E., Freeman, M.L., Rowland, R.C., and Carling, G., 2013, Monitoring change in Great Salt Lake: Eos, Transactions, American Geophysical Union, v. 94, no. 33, p. 289-296, https://doi.org/10.1002/2013EO330001.","productDescription":"8 p.","startPage":"289","endPage":"296","ipdsId":"IP-045172","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":278511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Salt Lake City","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.1012,40.669 ], [ -113.1012,41.705 ], [ -111.9302,41.705 ], [ -111.9302,40.669 ], [ -113.1012,40.669 ] ] ] } } ] }","volume":"94","issue":"33","noUsgsAuthors":false,"publicationDate":"2013-08-13","publicationStatus":"PW","scienceBaseUri":"5270cafde4b0f7a10664c791","contributors":{"authors":[{"text":"Naftz, David L. 0000-0003-1130-6892 dlnaftz@usgs.gov","orcid":"https://orcid.org/0000-0003-1130-6892","contributorId":1041,"corporation":false,"usgs":true,"family":"Naftz","given":"David","email":"dlnaftz@usgs.gov","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angeroth, Cory E. 0000-0002-2915-6418 angeroth@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-6418","contributorId":2105,"corporation":false,"usgs":true,"family":"Angeroth","given":"Cory","email":"angeroth@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Michael L. mfreeman@usgs.gov","contributorId":1042,"corporation":false,"usgs":true,"family":"Freeman","given":"Michael","email":"mfreeman@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":482178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowland, Ryan C. rrowland@usgs.gov","contributorId":3606,"corporation":false,"usgs":true,"family":"Rowland","given":"Ryan","email":"rrowland@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":482180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carling, Gregory 0000-0001-5820-125X","orcid":"https://orcid.org/0000-0001-5820-125X","contributorId":69459,"corporation":false,"usgs":false,"family":"Carling","given":"Gregory","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":482181,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70045521,"text":"70045521 - 2013 - Migration and wintering areas of American Bitterns (Botaurus lentiginosus) that summer in central North America as determined by satellite and radio telemetry, 1998-2003","interactions":[],"lastModifiedDate":"2013-10-29T09:07:12","indexId":"70045521","displayToPublicDate":"2013-10-28T21:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Migration and wintering areas of American Bitterns (Botaurus lentiginosus) that summer in central North America as determined by satellite and radio telemetry, 1998-2003","docAbstract":"Twenty adult male American Bitterns (Botaurus lentiginosus) were marked on summer range in central North America with satellite tracking Platform Transmitter Terminals (PTTs) to document migration routes and wintering range. Nineteen complete fall migration routes were documented for 17 individuals. Of the successful migrations, 63% (n = 12) went to southern Florida, 32% (n = 6) to southern Louisiana, and 5% (n = 1) to the Gulf coast of Texas. Spring migrations for nine birds were documented, and 78% (n = 7) showed fidelity to breeding range. Two complete migrations for two individuals were documented, and they demonstrated fidelity to winter range. The longest, fastest movement documented was 2,300 km in less than 74 hr. Extensive, post-breeding dispersal was not observed in the adult male American Bitterns in this study. Six male American Bitterns were marked with PTTs on winter range in Florida and Texas. Spring migration for these birds was documented to Nebraska, North Dakota, Saskatchewan, Manitoba and Ontario. Sixty-seven American Bitterns were marked with Very High Frequency radio transmitters on summer ranges, and 16% (n = 11) were located on wintering grounds used by the satellite-tracked birds, further documenting the importance of the Everglades and the Louisiana coast as winter habitat for American Bitterns that breed in Central North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.036.0307","usgsCitation":"Huschle, G., Toepfer, J.E., and Douglas, D.C., 2013, Migration and wintering areas of American Bitterns (Botaurus lentiginosus) that summer in central North America as determined by satellite and radio telemetry, 1998-2003: Waterbirds, v. 36, no. 3, p. 300-309, https://doi.org/10.1675/063.036.0307.","productDescription":"10 p.","startPage":"300","endPage":"309","ipdsId":"IP-044127","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":278486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278485,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.036.0307"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.35,25.17 ], [ -102.35,49.07 ], [ -79.06,49.07 ], [ -79.06,25.17 ], [ -102.35,25.17 ] ] ] } } ] }","volume":"36","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526f7970e4b0493c992e995d","contributors":{"authors":[{"text":"Huschle, Guy","contributorId":75846,"corporation":false,"usgs":true,"family":"Huschle","given":"Guy","email":"","affiliations":[],"preferred":false,"id":477727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Toepfer, John E.","contributorId":37635,"corporation":false,"usgs":true,"family":"Toepfer","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":477726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477725,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048621,"text":"70048621 - 2013 - The effects of elevated water temperature on native juvenile mussels: implications for climate change","interactions":[],"lastModifiedDate":"2013-12-04T08:35:35","indexId":"70048621","displayToPublicDate":"2013-10-25T13:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"The effects of elevated water temperature on native juvenile mussels: implications for climate change","docAbstract":"Native freshwater mussels are a diverse but imperiled fauna and may be especially sensitive to increasing water temperatures because many species already may be living near their upper thermal limits. We tested the hypothesis that elevated water temperatures (20, 25, 30, and 35°C) adversely affected the survival and physiology of 2-mo-old juvenile mussels (Lampsilis abrupta, Lampsilis siliquoidea, and Megalonaias nervosa) in 28-d laboratory experiments. The 28-d LT50s (lethal temperature affecting 50% of the population) ranged from 25.3 to 30.3°C across species, and were lowest for L. abrupta and L. siliquoidea. Heart rate of L. siliquoidea was not affected by temperature, but heart rate declined at higher temperatures in L. abrupta and M. nervosa. However, for both of these species, heart rate also declined steadily during the experiment and a strong temperature × time interaction was detected. Juvenile growth was low for all species in all treatments and did not respond directly to temperature, but growth of some species responded to a temperature × time interaction. Responses to thermal stress differed among species, but potential laboratory artifacts may limit applicability of these results to real-world situations. Environmentally relevant estimates of upper thermal tolerances in native mussels are urgently needed to assess the extent of assemblage changes that can be expected in response to global climate change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Freshwater Science","doi":"10.1899/12-132.1","usgsCitation":"Ganser, A.M., Newton, T., and Haro, R.J., 2013, The effects of elevated water temperature on native juvenile mussels: implications for climate change: Freshwater Science, v. 32, no. 4, p. 1168-1177, https://doi.org/10.1899/12-132.1.","productDescription":"10 p.","startPage":"1168","endPage":"1177","ipdsId":"IP-040280","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":278451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278450,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/12-132.1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383 ], [ -66.95,49.383 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"32","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526b8532e4b058918d0a99c9","contributors":{"authors":[{"text":"Ganser, Alissa M.","contributorId":21855,"corporation":false,"usgs":true,"family":"Ganser","given":"Alissa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newton, Teresa J. 0000-0001-9351-5852","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":78696,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":485216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haro, Roger J.","contributorId":12813,"corporation":false,"usgs":true,"family":"Haro","given":"Roger","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485214,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048637,"text":"70048637 - 2013 - Genetic structure, diversity and subspecies status of Gull-billed Terns (Gelochelidon nilotica) from the United States","interactions":[],"lastModifiedDate":"2013-10-25T13:02:08","indexId":"70048637","displayToPublicDate":"2013-10-25T12:52:55","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure, diversity and subspecies status of Gull-billed Terns (Gelochelidon nilotica) from the United States","docAbstract":"Gull-billed Terns (Gelochelidon nilotica) are among the most widespread, yet scarce, Charadriiformes in the world. Two subspecies are recognized in the United States: G. n. aranea breeds along the U.S. Atlantic and Gulf coasts and G. n. vanrossemi breeds in the Salton Sea and San Diego Bay of California. Conservation concerns exist for the species due to its low abundance in the United States and apparent declines in some parts of its North American range. We used nuclear microsatellite markers and mitochondrial DNA sequences to assess genetic diversity and differentiation patterns among Gull-billed Tern populations from Virginia, Texas, and California. We also tested for evidence of population bottlenecks, and evaluated the support our data provide for the North American subspecies. Genetic diversity was highest in Texas and underscored the importance of habitat in that large population. Significant population differentiation existed, but could not be consistently identified using various analytical approaches and suggested that the magnitude of differentiation was low. No evidence for bottlenecks was identified. Our data could not distinguish individuals from different subspecies and therefore do not support the current intraspecific taxonomy. Tenable explanations for many findings are related to the low site tenacity demonstrated by the species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"BioOne","doi":"10.1675/063.036.0308","usgsCitation":"Miller, M.P., Mullins, T., and Haig, S.M., 2013, Genetic structure, diversity and subspecies status of Gull-billed Terns (Gelochelidon nilotica) from the United States: Waterbirds, v. 36, no. 3, p. 310-318, https://doi.org/10.1675/063.036.0308.","productDescription":"9 p.","startPage":"310","endPage":"318","ipdsId":"IP-044929","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":278449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278442,"type":{"id":15,"text":"Index Page"},"url":"https://www.bioone.org/doi/full/10.1675/063.036.0308"},{"id":278441,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.036.0308"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383 ], [ -66.95,49.383 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"36","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526b84d1e4b058918d0a9872","contributors":{"authors":[{"text":"Miller, Mark P. 0000-0003-1045-1772 mpmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1045-1772","contributorId":1967,"corporation":false,"usgs":true,"family":"Miller","given":"Mark","email":"mpmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":485236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mullins, Thomas D.","contributorId":12819,"corporation":false,"usgs":true,"family":"Mullins","given":"Thomas D.","affiliations":[],"preferred":false,"id":485237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":485235,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048616,"text":"ofr20131233 - 2013 - Seepage investigations of the Rio Grande from below Leasburg Dam, Leasburg, New Mexico, to above American Dam, El Paso, Texas, 2006-13","interactions":[],"lastModifiedDate":"2013-11-14T17:57:11","indexId":"ofr20131233","displayToPublicDate":"2013-10-25T10:39:00","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":"2013-1233","title":"Seepage investigations of the Rio Grande from below Leasburg Dam, Leasburg, New Mexico, to above American Dam, El Paso, Texas, 2006-13","docAbstract":"Seepage investigations were conducted annually by the U.S. Geological Survey from 1988 to 1998 and from 2004 to 2013 along a 64-mile reach of the Rio Grande from below Leasburg Dam, Leasburg, New Mexico, to above American Dam, El Paso, Texas, as part of the Mesilla Basin monitoring program. Results of studies conducted from 2006 to 2013 are presented in this report. Seepage investigations were conducted over a period of 1–2 days in February of each year, during low-flow conditions in the non-irrigation season. During the seepage investigations, discharge was measured at as many as 24 sites along the Rio Grande and as many as 20 inflow sites within the study reach.
\nNet seepage gain or loss was computed for each subreach by subtracting the discharge measured at the upstream location from the discharge measured at the closest downstream location along the river and then subtracting any inflow to the river within the subreach. An estimated gain or loss was determined to be significant when it exceeded the cumulative measurement uncertainty associated with the net seepage computation. Study reaches during 2006 to 2013 ranged from 20.2 to 64 miles in length, and seepage losses ranged from 8.2 ± 3.1 to 47.9 ± 8.2 cubic feet per second.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131233","usgsCitation":"Crilley, D., Matherne, A., Thomas, N., and Falk, S., 2013, Seepage investigations of the Rio Grande from below Leasburg Dam, Leasburg, New Mexico, to above American Dam, El Paso, Texas, 2006-13: U.S. Geological Survey Open-File Report 2013-1233, Report: viii, 34 p.; Tables 1-10 and Appendix 1, https://doi.org/10.3133/ofr20131233.","productDescription":"Report: viii, 34 p.; Tables 1-10 and Appendix 1","numberOfPages":"45","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2013-12-31","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":278422,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1233/downloads/of2013-1233_Tables1-10_App1.xlsx"},{"id":278420,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1233/"},{"id":278423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131233.gif"},{"id":278421,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1233/pdf/of2013-1233.pdf"}],"projection":"Universal Transverse Mercator","datum":"North American Datum of 1983","country":"United States","state":"New Mexico;Texas","city":"El Paso;Leasburg","otherGeospatial":"Rio Grande","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.9986,31.7492 ], [ -106.9986,32.6 ], [ -106.463,32.6 ], [ -106.463,31.7492 ], [ -106.9986,31.7492 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526b8531e4b058918d0a99c3","contributors":{"authors":[{"text":"Crilley, D.M. 0000-0003-0432-5948","orcid":"https://orcid.org/0000-0003-0432-5948","contributorId":19874,"corporation":false,"usgs":true,"family":"Crilley","given":"D.M.","affiliations":[],"preferred":false,"id":485204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matherne, A.M.","contributorId":69467,"corporation":false,"usgs":true,"family":"Matherne","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":485205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Nicole nithomas@usgs.gov","contributorId":5649,"corporation":false,"usgs":true,"family":"Thomas","given":"Nicole","email":"nithomas@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falk, S.E.","contributorId":81404,"corporation":false,"usgs":true,"family":"Falk","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":485206,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048599,"text":"ofr20131162 - 2013 - Qualilty, isotopes, and radiochemistry of water sampled from the Upper Moenkopi Village water-supply wells, Coconino County, Arizona","interactions":[],"lastModifiedDate":"2025-05-15T13:48:08.819677","indexId":"ofr20131162","displayToPublicDate":"2013-10-25T08:32:00","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":"2013-1162","title":"Qualilty, isotopes, and radiochemistry of water sampled from the Upper Moenkopi Village water-supply wells, Coconino County, Arizona","docAbstract":"The Hopi Tribe Water Resources Program has granted contracts for studies to evaluate water supply conditions for the Moenkopi villages in Coconino County, Arizona. The Moenkopi villages include Upper Moenkopi Village and the village of Lower Moencopi, both on the Hopi Indian Reservation south of the Navajo community of Tuba City. These investigations have determined that water supplies are limited and vulnerable to several potential sources of contamination, including the Tuba City Landfill and a former uranium processing facility known as the Rare Metals Mill. Studies are ongoing to determine if uranium and other metals in groundwater beneath the landfill are greater than regional groundwater concentrations.\n\nThe source of water supply for the Upper Moenkopi Village is three public-supply wells. The wells are referred to as MSW-1, MSW-2, and MSW-3 and all three wells obtain water from the regionally extensive N aquifer. The N aquifer is the principal aquifer in this region of northern Arizona and consists of thick beds of sandstone between less permeable layers of siltstone and mudstone. The relatively fine-grained character of the N aquifer inhibits rapid movement of water and large yields to wells. In recent years, water levels have declined in the three public-supply wells, causing concern that the current water supply will not be able to accommodate peak demand and allow for residential and economic growth.\n\nAnalyses of major ions, nutrients, selected trace metals, stable and radioactive isotopes, and radiochemistry were performed on the groundwater samples from the three public-supply wells to describe general water-quality conditions and groundwater ages in and immediately surrounding the Upper Moenkopi Village area. None of the water samples collected from the public-supply wells exceeded the U.S. Environmental Protection Agency primary drinking water standards.\n\nThe ratios of the major dissolved ions from the samples collected from MSW-1 and MSW-2 indicate water with a major ion composition of calcium and sulfate. There is no significant vertical distribution of ion concentrations in the samples collected from the upper and lower portion of the water column within the two wells. The samples collected at MSW-3 are higher in sodium and lower in calcium than the samples collected from MSW-1 and MSW-2, and contain a similar sulfate-ion percentage. There is a vertical distribution of ion concentrations in the samples collected from the upper and lower portion of the water column in MSW-3.\n\nGroundwater samples from the three water-supply wells analyzed for oxygen-18 and deuterium stable isotopes plot on a local water line that is approximately parallel to the global meteoric water line. Tritium concentrations in samples from MSW-1 and MSW-3 were equal to or less than laboratory detection limits and were interpreted to contain no modern (post-1952) water. Tritium concentration in a sample from the top of the water column at MSW-2 was 0.41 tritium units, indicating that the composition is primarily pre-bomb (pre-1952) water, but may contain a small fraction of post-bomb modern water.\n\nThe calculated carbon-14 ages of groundwater in MSW-1 and MSW-2, both completed about 140 feet into the Navajo Sandstone, are about 3,000 years before present. The calculated carbon-14 age of groundwater in MSW-3, completed about 240 feet into the Kayenta Formation-Navajo Sandstone transition zone is about 5,000 years before present in the upper portion of the water column and about 8,500 years before present in the lower portion of the water column. The gross alpha radioactivity of samples collected from the three water-supply wells ranged from 5.1 to 9.8 picocuries per liter-less than the U.S. Environmental Protection Agency primary drinking water standard of 15 picocuries per liter. The gross beta radioactivity of samples collected from the wells ranged from 0.9 to 2.8 picocuries per liter and are not considered elevated relative to the U.S. Environmental Protection Agency primary drinking water standard.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131162","collaboration":"Prepared in cooperation with the Hopi Tribe","usgsCitation":"Carruth, R., Beisner, K., and Smith, G., 2013, Qualilty, isotopes, and radiochemistry of water sampled from the Upper Moenkopi Village water-supply wells, Coconino County, Arizona: U.S. Geological Survey Open-File Report 2013-1162, iv, 18 p., https://doi.org/10.3133/ofr20131162.","productDescription":"iv, 18 p.","numberOfPages":"22","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":278397,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131162.jpg"},{"id":278396,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1162/"},{"id":278395,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1162/pdf/ofr2013-1162.pdf"}],"country":"United States","state":"Arizona","county":"Coconino County","otherGeospatial":"Moenkopi Village","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.5,\n 37\n ],\n [\n -111.5,\n 35.0833\n ],\n [\n -109.5,\n 35.0833\n ],\n [\n -109.5,\n 37\n ],\n [\n -111.5,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526b8531e4b058918d0a99bd","contributors":{"authors":[{"text":"Carruth, Rob 0000-0001-7008-2927 rlcarr@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-2927","contributorId":1162,"corporation":false,"usgs":true,"family":"Carruth","given":"Rob","email":"rlcarr@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beisner, Kimberly","contributorId":85284,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","affiliations":[],"preferred":false,"id":485185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Greg 0000-0001-8170-9924","orcid":"https://orcid.org/0000-0001-8170-9924","contributorId":15210,"corporation":false,"usgs":true,"family":"Smith","given":"Greg","email":"","affiliations":[],"preferred":false,"id":485184,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048591,"text":"ofr20131259 - 2013 - Postwildfire debris-flow hazard assessment of the area burned by the 2013 West Fork Fire Complex, southwestern Colorado","interactions":[],"lastModifiedDate":"2013-11-14T18:01:35","indexId":"ofr20131259","displayToPublicDate":"2013-10-25T08:03:00","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":"2013-1259","title":"Postwildfire debris-flow hazard assessment of the area burned by the 2013 West Fork Fire Complex, southwestern Colorado","docAbstract":"This report presents a preliminary emergency assessment of the debris-flow hazards from drainage basins burned by the 2013 West Fork Fire Complex near South Fork in southwestern Colorado. Empirical models derived from statistical evaluation of data collected from recently burned basins throughout the intermountain western United States were used to estimate the probability of debris-flow occurrence, potential volume of debris flows, and the combined debris-flow hazard ranking along the drainage network within and just downstream from the burned area, and to estimate the same for 54 drainage basins of interest within the perimeter of the burned area. Input data for the debris-flow models included topographic variables, soil characteristics, burn severity, and rainfall totals and intensities for a (1) 2-year-recurrence, 1-hour-duration rainfall, referred to as a 2-year storm; (2) 10-year-recurrence, 1-hour-duration rainfall, referred to as a 10-year storm; and (3) 25-year-recurrence, 1-hour-duration rainfall, referred to as a 25-year storm.\n \nEstimated debris-flow probabilities at the pour points of the 54 drainage basins of interest ranged from less than 1 to 65 percent in response to the 2-year storm; from 1 to 77 percent in response to the 10-year storm; and from 1 to 83 percent in response to the 25-year storm. Twelve of the 54 drainage basins of interest have a 30-percent probability or greater of producing a debris flow in response to the 25-year storm. Estimated debris-flow volumes for all rainfalls modeled range from a low of 2,400 cubic meters to a high of greater than 100,000 cubic meters. Estimated debris-flow volumes increase with basin size and distance along the drainage network, but some smaller drainages also were predicted to produce substantial debris flows. One of the 54 drainage basins of interest had the highest combined hazard ranking, while 9 other basins had the second highest combined hazard ranking. Of these 10 basins with the 2 highest combined hazard rankings, 7 basins had predicted debris-flow volumes exceeding 100,000 cubic meters, while 3 had predicted probabilities of debris flows exceeding 60 percent. The 10 basins with high combined hazard ranking include 3 tributaries in the headwaters of Trout Creek, four tributaries to the West Fork San Juan River, Hope Creek draining toward a county road on the eastern edge of the burn, Lake Fork draining to U.S. Highway 160, and Leopard Creek on the northern edge of the burn. The probabilities and volumes for the modeled storms indicate a potential for debris-flow impacts on structures, reservoirs, roads, bridges, and culverts located within and immediately downstream from the burned area. U.S. Highway 160, on the eastern edge of the burn area, also is susceptible to impacts from debris flows.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131259","collaboration":"Prepared in cooperation with Hinsdale County, Colorado","usgsCitation":"Verdin, K.L., Dupree, J.A., and Stevens, M.R., 2013, Postwildfire debris-flow hazard assessment of the area burned by the 2013 West Fork Fire Complex, southwestern Colorado: U.S. Geological Survey Open-File Report 2013-1259, Report: iv, 30 p.; 3 Plates: 34 x 22.31 inches or smaller, https://doi.org/10.3133/ofr20131259.","productDescription":"Report: iv, 30 p.; 3 Plates: 34 x 22.31 inches or smaller","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-050942","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":278394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131259.gif"},{"id":278398,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1259/pdf/of2013-1259.pdf"},{"id":278399,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1259/pdf/of2013-1259_plate1.pdf"},{"id":278400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1259/pdf/of2013-1259_plate2.pdf"},{"id":278401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1259/pdf/of2013-1259_plate3.pdf"},{"id":278392,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1259/"}],"country":"United States","state":"Colorado","otherGeospatial":"West Fork Complex","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.1052,37.1977 ], [ -107.1052,38.1408 ], [ -106.1574,38.1408 ], [ -106.1574,37.1977 ], [ -107.1052,37.1977 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526b852fe4b058918d0a99b7","contributors":{"authors":[{"text":"Verdin, Kristine L. 0000-0002-6114-4660 kverdin@usgs.gov","orcid":"https://orcid.org/0000-0002-6114-4660","contributorId":3070,"corporation":false,"usgs":true,"family":"Verdin","given":"Kristine","email":"kverdin@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dupree, Jean A. dupree@usgs.gov","contributorId":2563,"corporation":false,"usgs":true,"family":"Dupree","given":"Jean","email":"dupree@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":485152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stevens, Michael R. 0000-0002-9476-6335 mrsteven@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6335","contributorId":769,"corporation":false,"usgs":true,"family":"Stevens","given":"Michael","email":"mrsteven@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485151,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048549,"text":"70048549 - 2013 - Phreatophytes under stress: transpiration and stomatal conductance of saltcedar (Tamarix spp.) in a high-salinity environment","interactions":[],"lastModifiedDate":"2013-10-24T11:01:02","indexId":"70048549","displayToPublicDate":"2013-10-24T10:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"Phreatophytes under stress: transpiration and stomatal conductance of saltcedar (Tamarix spp.) in a high-salinity environment","docAbstract":"Background and aims: We sought to understand the environmental constraints on an arid-zone riparian phreatophtye, saltcedar (Tamarix ramosissima and related species and hybrids), growing over a brackish aquifer along the Colorado River in the western U.S. Depth to groundwater, meteorological factors, salinity and soil hydraulic properties were compared at stress and non-stressed sites that differed in salinity of the aquifer, soil properties and water use characteristics, to identify the factors depressing water use at the stress site.\nMethods: Saltcedar leaf-level transpiration (EL), LAI, and stomatal conductance (GS) were measured over a growing season (June–September) with Granier and stem heat balance sensors and were compared to those for saltcedar at the non-stress site determined in a previous study. Transpiration on a ground-area basis (EG) was calculated as EL × LAI. Environmental factors were regressed against hourly and daily EL and GS at each site to determine the main factors controlling water use at each site.\nResults: At the stress site, mean EG over the summer was only 30 % of potential evapotranspiration (ETo). GS and EG peaked between 8 and 9 am then decreased over the daylight hours. Daytime GS was negatively correlated with vapor pressure deficit (VPD) (P < 0.05). By contrast, EG at the non-stress site tracked the daily radiation curve, was positively correlated with VPD and was nearly equal to ETo on a daily basis. Depth to groundwater increased over the growing season at both sites and resulted in decreasing EG but could not explain the difference between sites. Both sites had high soil moisture levels throughout the vadose zone with high calculated unsaturated conductivity. However, salinity in the aquifer and vadose zone was three times higher at the stress site than at the non-stress site and could explain differences in plant EG and GS.\nConclusions: Salts accumulated in the vadose zone at both sites so usable water was confined to the saturated capillary fringe above the aquifer. Existence of a saline aquifer imposes several types of constraints on phreatophyte EG, which need to be considered in models of plant water uptake. The heterogeneous nature of saltcedar EG over river terraces introduces potential errors into estimates of ET by wide-area methods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Plant and Soil","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11104-013-1803-0","usgsCitation":"Glenn, E.P., Nagler, P.L., Morino, K., and Hultine, K., 2013, Phreatophytes under stress: transpiration and stomatal conductance of saltcedar (Tamarix spp.) in a high-salinity environment: Plant and Soil, v. 371, no. 1-2, p. 655-672, https://doi.org/10.1007/s11104-013-1803-0.","productDescription":"23 p.","startPage":"655","endPage":"672","numberOfPages":"23","ipdsId":"IP-045751","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":278374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278372,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11104-013-1803-0"}],"country":"United States","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,32.49 ], [ -114.82,40.43 ], [ -105.82,40.43 ], [ -105.82,32.49 ], [ -114.82,32.49 ] ] ] } } ] }","volume":"371","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2013-06-19","publicationStatus":"PW","scienceBaseUri":"526a3364e4b0c0d229f9bddd","contributors":{"authors":[{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":485040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":485039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morino, Kiyomi","contributorId":78210,"corporation":false,"usgs":true,"family":"Morino","given":"Kiyomi","email":"","affiliations":[],"preferred":false,"id":485041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hultine, Kevin","contributorId":105634,"corporation":false,"usgs":true,"family":"Hultine","given":"Kevin","affiliations":[],"preferred":false,"id":485042,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048571,"text":"ofr20131258 - 2013 - Transient calibration of a groundwater-flow model of Chimacum Creek Basin and vicinity, Jefferson County, Washington: a supplement to Scientific Investigations Report 2013-5160","interactions":[],"lastModifiedDate":"2013-11-14T18:01:01","indexId":"ofr20131258","displayToPublicDate":"2013-10-24T09:16:00","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":"2013-1258","title":"Transient calibration of a groundwater-flow model of Chimacum Creek Basin and vicinity, Jefferson County, Washington: a supplement to Scientific Investigations Report 2013-5160","docAbstract":"A steady-state groundwater-flow model described in Scientific Investigations Report 2013-5160, ”Numerical Simulation of the Groundwater-Flow System in Chimacum Creek Basin and Vicinity, Jefferson County, Washington” was developed to evaluate potential future impacts of growth and of water-management strategies on water resources in the Chimacum Creek Basin. This supplement to that report describes the unsuccessful attempt to perform a calibration to transient conditions on the model. The modeled area is about 64 square miles on the Olympic Peninsula in northeastern Jefferson County, Washington. The geologic setting for the model area is that of unconsolidated deposits of glacial and interglacial origin typical of the Puget Sound Lowlands. The hydrogeologic units representing aquifers are Upper Aquifer (UA, roughly corresponding to recessional outwash) and Lower Aquifer (LA, roughly corresponding to advance outwash). Recharge from precipitation is the dominant source of water to the aquifer system; discharge is primarily to marine waters below sea level and to Chimacum Creek and its tributaries.\n\nThe model is comprised of a grid of 245 columns and 313 rows; cells are a uniform 200 feet per side. There are six model layers, each representing one hydrogeologic unit: (1) Upper Confining unit (UC); (2) Upper Aquifer unit (UA); (3) Middle Confining unit (MC); (4) Lower Aquifer unit (LA); (5) Lower Confining unit (LC); and (6) Bedrock unit (OE). The transient simulation period (October 1994–September 2009) was divided into 180 monthly stress periods to represent temporal variations in recharge, discharge, and storage.\n\nAn attempt to calibrate the model to transient conditions was unsuccessful due to instabilities stemming from oscillations in groundwater discharge to and recharge from streamflow in Chimacum Creek. The model as calibrated to transient conditions has mean residuals and standard errors of 0.06 ft ±0.45 feet for groundwater levels and 0.48 ± 0.06 cubic feet per second for flows. Although the expected seasonal trends were observed in model results, the typical observed annual variation of groundwater levels of about 2 feet was not. Streamflow at the most downstream observation point was about three times larger than simulated streamflow. Because the transient version of the model proved inherently unstable, it was not used to simulate forecast conditions for alternate hydrologic or anthropogenic changes. Adaptation of alternate stream simulation packages, such as RIV, or newer versions of MODFLOW, such as MODFLOW-NWT, could possibly assist with achieving calibration to transient conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131258","collaboration":"Prepared in cooperation with Jefferson County and the Washington State Department of Ecology","usgsCitation":"Jones, J.L., and Johnson, K.H., 2013, Transient calibration of a groundwater-flow model of Chimacum Creek Basin and vicinity, Jefferson County, Washington: a supplement to Scientific Investigations Report 2013-5160: U.S. Geological Survey Open-File Report 2013-1258, vi, 44 p., https://doi.org/10.3133/ofr20131258.","productDescription":"vi, 44 p.","numberOfPages":"50","onlineOnly":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":278350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131258.PNG"},{"id":278348,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1258/pdf/ofr2013-1258.pdf"},{"id":278349,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1258/"}],"country":"United States","state":"Washington","county":"Jefferson County","otherGeospatial":"Chimacum Creek Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.846987,47.927651 ], [ -122.846987,48.0685 ], [ -122.677922,48.0685 ], [ -122.677922,47.927651 ], [ -122.846987,47.927651 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526a3365e4b0c0d229f9bde6","contributors":{"authors":[{"text":"Jones, Joseph L. jljones@usgs.gov","contributorId":3492,"corporation":false,"usgs":true,"family":"Jones","given":"Joseph","email":"jljones@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Kenneth H. johnson@usgs.gov","contributorId":3103,"corporation":false,"usgs":true,"family":"Johnson","given":"Kenneth","email":"johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485110,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048570,"text":"sir20135170 - 2013 - Revised shallow and deep water-level and storage-volume changes in the Equus Beds Aquifer near Wichita, Kansas, predevelopment to 1993","interactions":[],"lastModifiedDate":"2013-11-14T18:06:19","indexId":"sir20135170","displayToPublicDate":"2013-10-24T09:00:00","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":"2013-5170","title":"Revised shallow and deep water-level and storage-volume changes in the Equus Beds Aquifer near Wichita, Kansas, predevelopment to 1993","docAbstract":"Beginning in the 1940s, the Wichita well field was developed in the Equus Beds aquifer in southwestern Harvey County and northwestern Sedgwick County to supply water to the city of Wichita. The decline of water levels in the aquifer was noted soon after the development of the Wichita well field began. Development of irrigation wells began in the 1960s. City and agricultural withdrawals led to substantial water-level declines. Water-level declines enhanced movement of brines from past oil and gas activities near Burrton, Kansas and enhanced movement of natural saline water from the Arkansas River into the well field area. Large chloride concentrations may limit use or require the treatment of water from the well field for irrigation or public supply. In 1993, the city of Wichita adopted the Integrated Local Water Supply Program (ILWSP) to ensure an adequate water supply for the city through 2050 and as part of its effort to effectively manage the part of the Equus Beds aquifer it uses. ILWSP uses several strategies to do this including the Equus Beds Aquifer Storage and Recovery (ASR) project. The purpose of the ASR project is to store water in the aquifer for later recovery and to help protect the aquifer from encroachment of a known oilfield brine plume near Burrton and saline water from the Arkansas River.\n\nAs part of Wichita’s ASR permits, Wichita is prohibited from artificially recharging water into the aquifer in a Basin Storage area (BSA) grid cell if water levels in that cell are above the January 1940 water levels or are less than 10 feet below land surface. The map previously used for this purpose did not provide an accurate representation of the shallow water table. The revised predevelopment water-level altitude map of the shallow part of the aquifer is presented in this report.\n\nThe city of Wichita’s ASR permits specify that the January 1993 water-level altitudes will be used as a lower baseline for regulating the withdrawal of artificial rechage credits from the Equus Beds aquifer by the city of Wichita. The 1993 water levels correspond to the lowest recorded levels and largest storage declines since 1940. Revised and new water-level maps of shallow and deep layers were developed to better represent the general condition of the aquifer. Only static water levels were used to better represent the general condition of the aquifer and comply with Wichita’s ASR permits. To ensure adequate data density, the January 1993 period was expanded to October 1992 through February 1993. Static 1993 water levels from the deep aquifer layer of the Equus Beds aquifer possibly could be used as the lower baseline for regulatory purposes.\n\nPreviously, maps of water-level changes used to estimate the storage-volume changes included a combination of static (unaffected by pumping or nearby pumping) and stressed (affected by pumping or nearby pumping) water levels from wells. Some of these wells were open to the shallow aquifer layer and some were open to the deep aquifer layer of the Equus Beds aquifer. In this report, only static water levels in the shallow aquifer layer were used to determine storage-volume changes.\n\nThe effects on average water-level and storage-volume change from the use of mixed, stressed water levels and a specific yield of 0.20 were compared to the use of static water levels in the shallow aquifer and a specific yield of 0.15. This comparison indicates that the change in specific yield causes storage-volume changes to decrease about 25 percent, whereas the use of static water levels in the shallow aquifer layer causes an increase of less than 4 percent. Use of a specific yield of 0.15 will result in substantial decreases in the amount of storage-volume change compared to those reported previously that were calculated using a specific yield of 0.20. Based on these revised water-level maps and computations, the overall decline and change in storage from predevelopment to 1993 represented a loss in storage of about 6 percent (-202,000 acre-feet) of the overall storage volume within the newly defined study area.","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135170","usgsCitation":"Hansen, C.V., Lanning-Rush, J., and Ziegler, A., 2013, Revised shallow and deep water-level and storage-volume changes in the Equus Beds Aquifer near Wichita, Kansas, predevelopment to 1993: U.S. Geological Survey Scientific Investigations Report 2013-5170, v.; 18 p., https://doi.org/10.3133/sir20135170.","productDescription":"v.; 18 p.","numberOfPages":"23","onlineOnly":"Y","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":278347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135170.gif"},{"id":278346,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5170/"},{"id":278345,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5170/pdf/sir2013_5170.pdf"}],"country":"United States","state":"Kansas","city":"Wichita","otherGeospatial":"Equus Beds Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.68355,37.73379 ], [ -97.68355,38.181032 ], [ -97.396098,38.181032 ], [ -97.396098,37.73379 ], [ -97.68355,37.73379 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"526a3365e4b0c0d229f9bde0","contributors":{"authors":[{"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":485108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lanning-Rush, Jennifer L. jlanning@usgs.gov","contributorId":5809,"corporation":false,"usgs":true,"family":"Lanning-Rush","given":"Jennifer L.","email":"jlanning@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":485109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":485107,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048522,"text":"70048522 - 2013 - Maturation characteristics and life history strategies of the Pacific Lamprey, Entosphenus tridentatus","interactions":[],"lastModifiedDate":"2013-10-30T11:21:12","indexId":"70048522","displayToPublicDate":"2013-10-22T15:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Maturation characteristics and life history strategies of the Pacific Lamprey, Entosphenus tridentatus","docAbstract":"Lampreys (Petromyzontiformes) have persisted over millennia and now suffer a recent decline in abundance. Complex life histories may have factored in their persistence; anthropogenic perturbations in their demise. The complexity of life histories of lampreys is not understood, particularly for the anadromous Pacific lamprey, Entosphenus tridentatus Gairdner, 1836. Our goals were to describe the maturation timing and associated characteristics of adult Pacific lamprey, and to test the null hypothesis that different life histories do not exist. Females exhibited early vitellogenesis – early maturation stages; males exhibited spermatogonia – spermatozoa. Cluster analyses revealed an “immature” group and a “maturing–mature” group for each sex. We found statistically significant differences between these groups in the relationships between (i) body mass and total length in males; (ii) Fulton’s condition factor and liver lipids in males; (iii) the gonadosomatic index (GSI) and liver lipids in females; (iv) GSI and total length in females; (v) mean oocyte diameter and liver lipids; and (vi) mean oocyte diameter and GSI. We found no significant difference between the groups in the relationship of muscle lipids and body mass. Our analyses support rejection of the hypothesis of a single life history. We found evidence for an “ocean-maturing” life history that would likely spawn within several weeks of entering fresh water, in addition to the formerly recognized life history of spending 1 year in fresh water prior to spawning—the “stream-maturing” life history. Late maturity, semelparity, and high fecundity suggest that Pacific lamprey capitalize on infrequent opportunities for reproduction in highly variable environments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Zoology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/cjz-2013-0114","usgsCitation":"Clemens, B., van de Wetering, S., Sower, S.A., and Schreck, C.B., 2013, Maturation characteristics and life history strategies of the Pacific Lamprey, Entosphenus tridentatus: Canadian Journal of Zoology, v. 91, no. 11, p. 775-788, https://doi.org/10.1139/cjz-2013-0114.","productDescription":"14 p.","startPage":"775","endPage":"788","ipdsId":"IP-051202","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":278339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278337,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjz-2013-0114"}],"volume":"91","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52679069e4b0c24c90856d93","contributors":{"authors":[{"text":"Clemens, Benjamin J.","contributorId":22209,"corporation":false,"usgs":true,"family":"Clemens","given":"Benjamin J.","affiliations":[],"preferred":false,"id":484949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van de Wetering, Stan","contributorId":60116,"corporation":false,"usgs":false,"family":"van de Wetering","given":"Stan","affiliations":[{"id":34142,"text":"Confederated Tribes of Siletz Indians","active":true,"usgs":false}],"preferred":false,"id":484951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sower, Stacia A.","contributorId":25109,"corporation":false,"usgs":true,"family":"Sower","given":"Stacia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":484948,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048546,"text":"70048546 - 2013 - Estimating riparian and agricultural evapotranspiration by reference crop evapotranspiration and MODIS Enhanced Vegetation Index","interactions":[],"lastModifiedDate":"2025-12-11T21:30:40.075464","indexId":"70048546","displayToPublicDate":"2013-10-22T14:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Estimating riparian and agricultural evapotranspiration by reference crop evapotranspiration and MODIS Enhanced Vegetation Index","docAbstract":"Dryland river basins frequently support both irrigated agriculture and riparian vegetation and remote sensing methods are needed to monitor water use by both crops and natural vegetation in irrigation districts. We developed an algorithm for estimating actual evapotranspiration (ETa) based on the Enhanced Vegetation Index (EVI) from the Moderate Resolution Imaging Spectrometer (MODIS) sensor on the EOS-1 Terra satellite and locally-derived measurements of reference crop ET (ETo). The algorithm was calibrated with five years of ETa data from three eddy covariance flux towers set in riparian plant associations on the upper San Pedro River, Arizona, supplemented with ETa data for alfalfa and cotton from the literature. The algorithm was based on an equation of the form ETa = ETo [a(1 − e−bEVI) − c], where the term (1 − e−bEVI) is derived from the Beer-Lambert Law to express light absorption by a canopy, with EVI replacing leaf area index as an estimate of the density of light-absorbing units. The resulting algorithm capably predicted ETa across riparian plants and crops (r2 = 0.73). It was then tested against water balance data for five irrigation districts and flux tower data for two riparian zones for which season-long or multi-year ETa data were available. Predictions were within 10% of measured results in each case, with a non-significant (P = 0.89) difference between mean measured and modeled ETa of 5.4% over all validation sites. Validation and calibration data sets were combined to present a final predictive equation for application across crops and riparian plant associations for monitoring individual irrigation districts or for conducting global water use assessments of mixed agricultural and riparian biomes.","language":"English","publisher":"MDPI","doi":"10.3390/rs5083849","usgsCitation":"Nagler, P.L., Glenn, E.P., Nguyen, U., Scott, R., and Doody, T., 2013, Estimating riparian and agricultural evapotranspiration by reference crop evapotranspiration and MODIS Enhanced Vegetation Index: Remote Sensing, v. 5, no. 8, p. 3849-3871, https://doi.org/10.3390/rs5083849.","productDescription":"23 p.","startPage":"3849","endPage":"3871","ipdsId":"IP-045908","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473476,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs5083849","text":"Publisher Index Page"},{"id":278313,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-08-05","publicationStatus":"PW","scienceBaseUri":"52679064e4b0c24c90856d7b","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":485028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":485030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nguyen, Uyen","contributorId":71863,"corporation":false,"usgs":false,"family":"Nguyen","given":"Uyen","email":"","affiliations":[{"id":13060,"text":"Department of Soil, Water and Environmental Science, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":485032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Russell","contributorId":11931,"corporation":false,"usgs":true,"family":"Scott","given":"Russell","affiliations":[],"preferred":false,"id":485029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doody, Tania","contributorId":23836,"corporation":false,"usgs":true,"family":"Doody","given":"Tania","email":"","affiliations":[],"preferred":false,"id":485031,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048556,"text":"fs20133094 - 2013 - Irrigation trends in Kansas, 1991-2011","interactions":[],"lastModifiedDate":"2013-11-14T17:40:28","indexId":"fs20133094","displayToPublicDate":"2013-10-22T12:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3094","title":"Irrigation trends in Kansas, 1991-2011","docAbstract":"This fact sheet examines trends in total reported irrigation water use and acres irrigated as well as irrigation water use by crop type and system type in Kansas for the years 1991 through 2011. During the 21-year period, total reported irrigation water diversions varied substantially from year to year as affected primarily by climatic fluctuations. Total reported acres irrigated remained comparatively constant during this time, although acreages of irrigated corn increased and center pivots with drop nozzles became the dominant system type used for irrigation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133094","usgsCitation":"Kenny, J., and Juracek, K.E., 2013, Irrigation trends in Kansas, 1991-2011: U.S. Geological Survey Fact Sheet 2013-3094, 4 p., https://doi.org/10.3133/fs20133094.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1991-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":278320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133094.gif"},{"id":278318,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3094/"},{"id":278319,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3094/pdf/fs13-3094.pdf"}],"country":"United States","state":"Kansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.0518,36.9931 ], [ -102.0518,40.0031 ], [ -94.5882,40.0031 ], [ -94.5882,36.9931 ], [ -102.0518,36.9931 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52679068e4b0c24c90856d8d","contributors":{"authors":[{"text":"Kenny, Joan F.","contributorId":69132,"corporation":false,"usgs":true,"family":"Kenny","given":"Joan F.","affiliations":[],"preferred":false,"id":485070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":485069,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048553,"text":"ofr20131221 - 2013 - Chuckwalla Valley multiple-well monitoring site, Chuckwalla Valley, Riverside County","interactions":[],"lastModifiedDate":"2013-11-14T17:54:58","indexId":"ofr20131221","displayToPublicDate":"2013-10-22T08:52:00","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":"2013-1221","title":"Chuckwalla Valley multiple-well monitoring site, Chuckwalla Valley, Riverside County","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Bureau of Land Management, is evaluating the geohydrology and water availability of the Chuckwalla Valley, California. As part of this evaluation, the USGS installed the Chuckwalla Valley multiple-well monitoring site (CWV1) in the southeastern portion of the Chuckwalla Basin. Data collected at this site provide information about the geology, hydrology, geophysics, and geochemistry of the local aquifer system, thus enhancing the understanding of the geohydrologic framework of the Chuckwalla Valley. This report presents construction information for the CWV1 multiple-well monitoring site and initial geohydrologic data collected from the site.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131221","collaboration":"Prepared in cooperation with U.S. Bureau of Land Management, California Desert District","usgsCitation":"Everett, R., 2013, Chuckwalla Valley multiple-well monitoring site, Chuckwalla Valley, Riverside County: U.S. Geological Survey Open-File Report 2013-1221, 6 p., https://doi.org/10.3133/ofr20131221.","productDescription":"6 p.","numberOfPages":"6","additionalOnlineFiles":"N","ipdsId":"IP-041881","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":278310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131221.jpg"},{"id":278308,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1221/"},{"id":278309,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1221/pdf/ofr2013-1221.pdf"}],"projection":"Albers","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Chuckwalla Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.9982,33.1941 ], [ -115.9982,34.0801 ], [ -114.4349,34.0801 ], [ -114.4349,33.1941 ], [ -115.9982,33.1941 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52679052e4b0c24c90856d72","contributors":{"authors":[{"text":"Everett, Rhett R. 0000-0001-7983-6270 reverett@usgs.gov","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":843,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett R.","email":"reverett@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485062,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048544,"text":"70048544 - 2013 - Deriving Chesapeake Bay Water Quality Standards","interactions":[],"lastModifiedDate":"2013-10-21T14:46:18","indexId":"70048544","displayToPublicDate":"2013-10-21T14:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Deriving Chesapeake Bay Water Quality Standards","docAbstract":"Achieving and maintaining the water quality conditions necessary to protect the aquatic living resources of the Chesapeake Bay and its tidal tributaries has required a foundation of quantifiable water quality criteria. Quantitative criteria serve as a critical basis for assessing the attainment of designated uses and measuring progress toward meeting water quality goals of the Chesapeake Bay Program partnership. In 1987, the Chesapeake Bay Program partnership committed to defining the water quality conditions necessary to protect aquatic living resources. Under section 303(c) of the Clean Water Act, States and authorized tribes have the primary responsibility for adopting water quality standards into law or regulation. The Chesapeake Bay Program partnership worked with U.S. Environmental Protection Agency to develop and publish a guidance framework of ambient water quality criteria with designated uses and assessment procedures for dissolved oxygen, water clarity, and chlorophyll a for Chesapeake Bay and its tidal tributaries in 2003. This article reviews the derivation of the water quality criteria, criteria assessment protocols, designated use boundaries, and their refinements published in six addendum documents since 2003 and successfully adopted into each jurisdiction's water quality standards used in developing the Chesapeake Bay Total Maximum Daily Load.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Journal of the American Water Resources Association","doi":"10.1111/jawr.12108","usgsCitation":"Tango, P.J., and Batiuk, R.A., 2013, Deriving Chesapeake Bay Water Quality Standards: Journal of the American Water Resources Association, v. 49, no. 5, p. 1007-1024, https://doi.org/10.1111/jawr.12108.","productDescription":"18 p.","startPage":"1007","endPage":"1024","ipdsId":"IP-046138","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":278304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278300,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12108"},{"id":278301,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/jawr.12108/abstract"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.3175,36.9078 ], [ -77.3175,39.6076 ], [ -74.7591,39.6076 ], [ -74.7591,36.9078 ], [ -77.3175,36.9078 ] ] ] } } ] }","volume":"49","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-04","publicationStatus":"PW","scienceBaseUri":"52663ee4e4b0992695a7f43a","contributors":{"authors":[{"text":"Tango, Peter J. pjtango@usgs.gov","contributorId":4088,"corporation":false,"usgs":true,"family":"Tango","given":"Peter","email":"pjtango@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batiuk, Richard A.","contributorId":8368,"corporation":false,"usgs":true,"family":"Batiuk","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485027,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048526,"text":"70048526 - 2013 - Evaluation of Pleistocene groundwater flow through fractured tuffs using a U-series disequilibrium approach, Pahute Mesa, Nevada, USA","interactions":[],"lastModifiedDate":"2013-10-30T10:53:03","indexId":"70048526","displayToPublicDate":"2013-10-21T13:44:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of Pleistocene groundwater flow through fractured tuffs using a U-series disequilibrium approach, Pahute Mesa, Nevada, USA","docAbstract":"Groundwater flow through fractured felsic tuffs and lavas at the Nevada National Security Site represents the most likely mechanism for transport of radionuclides away from underground nuclear tests at Pahute Mesa. To help evaluate fracture flow and matrix–water exchange, we have determined U-series isotopic compositions on more than 40 drill core samples from 5 boreholes that represent discrete fracture surfaces, breccia zones, and interiors of unfractured core. The U-series approach relies on the disruption of radioactive secular equilibrium between isotopes in the uranium-series decay chain due to preferential mobilization of 234U relative to 238U, and U relative to Th. Samples from discrete fractures were obtained by milling fracture surfaces containing thin secondary mineral coatings of clays, silica, Fe–Mn oxyhydroxides, and zeolite. Intact core interiors and breccia fragments were sampled in bulk. In addition, profiles of rock matrix extending 15 to 44 mm away from several fractures that show evidence of recent flow were analyzed to investigate the extent of fracture/matrix water exchange. Samples of rock matrix have 234U/238U and 230Th/238U activity ratios (AR) closest to radioactive secular equilibrium indicating only small amounts of groundwater penetrated unfractured matrix. Greater U mobility was observed in welded-tuff matrix with elevated porosity and in zeolitized bedded tuff. Samples of brecciated core were also in secular equilibrium implying a lack of long-range hydraulic connectivity in these cases. Samples of discrete fracture surfaces typically, but not always, were in radioactive disequilibrium. Many fractures had isotopic compositions plotting near the 230Th-234U 1:1 line indicating a steady-state balance between U input and removal along with radioactive decay. Numerical simulations of U-series isotope evolution indicate that 0.5 to 1 million years are required to reach steady-state compositions. Once attained, disequilibrium 234U/238U and 230Th/238U AR values can be maintained indefinitely as long as hydrological and geochemical processes remain stable. Therefore, many Pahute Mesa fractures represent stable hydrologic pathways over million-year timescales. A smaller number of samples have non-steady-state compositions indicating transient conditions in the last several hundred thousand years. In these cases, U mobility is dominated by overall gains rather than losses of U.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2013.08.043","usgsCitation":"Paces, J.B., Nichols, P.J., Neymark, L.A., and Rajaram, H., 2013, Evaluation of Pleistocene groundwater flow through fractured tuffs using a U-series disequilibrium approach, Pahute Mesa, Nevada, USA: Chemical Geology, v. 358, p. 101-118, https://doi.org/10.1016/j.chemgeo.2013.08.043.","productDescription":"18 p.","startPage":"101","endPage":"118","ipdsId":"IP-042487","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":278303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278299,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2013.08.043"}],"country":"United States","state":"Nevada","otherGeospatial":"Pahute Mesa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.245064,36.834569 ], [ -117.245064,38.186926 ], [ -115.957947,38.186926 ], [ -115.957947,36.834569 ], [ -117.245064,36.834569 ] ] ] } } ] }","volume":"358","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52663ee6e4b0992695a7f440","contributors":{"authors":[{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":484964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, Paul J.","contributorId":87057,"corporation":false,"usgs":true,"family":"Nichols","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neymark, Leonid A. lneymark@usgs.gov","contributorId":532,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid","email":"lneymark@usgs.gov","middleInitial":"A.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":484963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rajaram, Harihar","contributorId":61328,"corporation":false,"usgs":true,"family":"Rajaram","given":"Harihar","affiliations":[],"preferred":false,"id":484965,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048543,"text":"70048543 - 2013 - Recreational water quality response to a filtering barrier at a Great Lakes beach","interactions":[],"lastModifiedDate":"2013-10-21T13:27:56","indexId":"70048543","displayToPublicDate":"2013-10-21T13:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Recreational water quality response to a filtering barrier at a Great Lakes beach","docAbstract":"Recent research has sought to determine the off- or onshore origin of fecal indicator bacteria (FIB) in order to improve local recreational water quality. In an effort to reduce offshore contamination, a filtering barrier (FB) was installed at Calumet Beach, Lake Michigan, Chicago, IL. A horseshoe-shaped curtain (146 m long, 0.18 mm apparent opening size, 1.5–1.6 m deepest point) was designed to exclude FIB containing or promoting debris and thus reduce the number of swimming advisories during the examination period of July through September 2012. Mean water Escherichia coli concentrations were significantly lower at southern transects (S; outside FB) than at transects within the FB (WN) and at northern transects (N; outside FB) (1.45 log (MPN)/100 ml vs. 1.74 and 1.72, respectively, p < 0.05, n = 234). Turbidity was significantly higher at the WN transects (p < 0.001, n = 233), but it tended to increase throughout the sampling season within and outside the FB. E. coli in adjacent foreshore sand was significantly lower at the WN transects. A combination of factors might explain higher E. coli and turbidity within the FB including increased sediment resuspension, trapped algae, shallowing within the FB, and large lake hydrodynamic processes. This remediation approach may find better use in a different hydrodynamic setting, but the results of this experiment provide insight on sources of contamination and nearshore dynamics that may direct future beach management strategies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2013.08.040","usgsCitation":"Przybyla-Kelly, K., Nevers, M., Breitenbach, C., and Whitman, R.L., 2013, Recreational water quality response to a filtering barrier at a Great Lakes beach: Journal of Environmental Management, v. 129, p. 635-641, https://doi.org/10.1016/j.jenvman.2013.08.040.","productDescription":"7 p.","startPage":"635","endPage":"641","ipdsId":"IP-049152","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278295,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jenvman.2013.08.040"}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"Calumet Beach;Lake Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.529029,41.712252 ], [ -87.529029,41.715995 ], [ -87.526324,41.715995 ], [ -87.526324,41.712252 ], [ -87.529029,41.712252 ] ] ] } } ] }","volume":"129","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52663ee7e4b0992695a7f446","contributors":{"authors":[{"text":"Przybyla-Kelly, Kasia","contributorId":79004,"corporation":false,"usgs":true,"family":"Przybyla-Kelly","given":"Kasia","affiliations":[],"preferred":false,"id":485025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nevers, Meredith 0000-0001-6963-6734 mnevers@usgs.gov","orcid":"https://orcid.org/0000-0001-6963-6734","contributorId":2013,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"mnevers@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breitenbach, Cathy","contributorId":55731,"corporation":false,"usgs":true,"family":"Breitenbach","given":"Cathy","affiliations":[],"preferred":false,"id":485024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":485022,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}