{"pageNumber":"795","pageRowStart":"19850","pageSize":"25","recordCount":68924,"records":[{"id":98193,"text":"sir20095199 - 2010 - Development and Application of Regression Models for Estimating Nutrient Concentrations in Streams of the Conterminous United States, 1992-2001","interactions":[],"lastModifiedDate":"2012-03-02T17:16:07","indexId":"sir20095199","displayToPublicDate":"2010-02-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5199","title":"Development and Application of Regression Models for Estimating Nutrient Concentrations in Streams of the Conterminous United States, 1992-2001","docAbstract":"Data collected for the U.S. Geological Survey National Water-Quality Assessment program from 1992-2001 were used to investigate the relations between nutrient concentrations and nutrient sources, hydrology, and basin characteristics. Regression models were developed to estimate annual flow-weighted concentrations of total nitrogen and total phosphorus using explanatory variables derived from currently available national ancillary data. Different total-nitrogen regression models were used for agricultural (25 percent or more of basin area classified as agricultural land use) and nonagricultural basins. Atmospheric, fertilizer, and manure inputs of nitrogen, percent sand in soil, subsurface drainage, overland flow, mean annual precipitation, and percent undeveloped area were significant variables in the agricultural basin total nitrogen model. Significant explanatory variables in the nonagricultural total nitrogen model were total nonpoint-source nitrogen input (sum of nitrogen from manure, fertilizer, and atmospheric deposition), population density, mean annual runoff, and percent base flow.\r\n\r\nThe concentrations of nutrients derived from regression (CONDOR) models were applied to drainage basins associated with the U.S. Environmental Protection Agency (USEPA) River Reach File (RF1) to predict flow-weighted mean annual total nitrogen concentrations for the conterminous United States. The majority of stream miles in the Nation have predicted concentrations less than 5 milligrams per liter. Concentrations greater than 5 milligrams per liter were predicted for a broad area extending from Ohio to eastern Nebraska, areas spatially associated with greater application of fertilizer and manure. Probabilities that mean annual total-nitrogen concentrations exceed the USEPA regional nutrient criteria were determined by incorporating model prediction uncertainty. In all nutrient regions where criteria have been established, there is at least a 50 percent probability of exceeding the criteria in more than half of the stream miles.\r\n\r\nDividing calibration sites into agricultural and nonagricultural groups did not improve the explanatory capability for total phosphorus models. The group of explanatory variables that yielded the lowest model error for mean annual total phosphorus concentrations includes phosphorus input from manure, population density, amounts of range land and forest land, percent sand in soil, and percent base flow. However, the large unexplained variability and associated model error precluded the use of the total phosphorus model for nationwide extrapolations.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095199","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Spahr, N.E., Mueller, D.K., Wolock, D.M., Hitt, K.J., and Gronberg, J.M., 2010, Development and Application of Regression Models for Estimating Nutrient Concentrations in Streams of the Conterminous United States, 1992-2001: U.S. Geological Survey Scientific Investigations Report 2009-5199, viii, 22 p. , https://doi.org/10.3133/sir20095199.","productDescription":"viii, 22 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1992-01-01","temporalEnd":"2001-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":125887,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5199.jpg"},{"id":13437,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5199/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4880e4b07f02db515e39","contributors":{"authors":[{"text":"Spahr, Norman E. nspahr@usgs.gov","contributorId":1977,"corporation":false,"usgs":true,"family":"Spahr","given":"Norman","email":"nspahr@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":304631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, David K. mueller@usgs.gov","contributorId":1585,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"mueller@usgs.gov","middleInitial":"K.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":304630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":304629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hitt, Kerie J.","contributorId":54565,"corporation":false,"usgs":true,"family":"Hitt","given":"Kerie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":304633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gronberg, JoAnn M. 0000-0003-4822-7434 jmgronbe@usgs.gov","orcid":"https://orcid.org/0000-0003-4822-7434","contributorId":3548,"corporation":false,"usgs":true,"family":"Gronberg","given":"JoAnn","email":"jmgronbe@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304632,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98194,"text":"tm6B6 - 2010 - One-Dimensional Transport with Equilibrium Chemistry (OTEQ) - A reactive transport model for streams and rivers","interactions":[],"lastModifiedDate":"2019-10-09T14:13:39","indexId":"tm6B6","displayToPublicDate":"2010-02-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-B6","title":"One-Dimensional Transport with Equilibrium Chemistry (OTEQ) - A reactive transport model for streams and rivers","docAbstract":"OTEQ is a mathematical simulation model used to characterize the fate and transport of waterborne solutes in streams and rivers. The model is formed by coupling a solute transport model with a chemical equilibrium submodel. The solute transport model is based on OTIS, a model that considers the physical processes of advection, dispersion, lateral inflow, and transient storage. The equilibrium submodel is based on MINTEQ, a model that considers the speciation and complexation of aqueous species, acid-base reactions, precipitation/dissolution, and sorption.\r\n\r\nWithin OTEQ, reactions in the water column may result in the formation of solid phases (precipitates and sorbed species) that are subject to downstream transport and settling processes. Solid phases on the streambed may also interact with the water column through dissolution and sorption/desorption reactions. Consideration of both mobile (waterborne) and immobile (streambed) solid phases requires a unique set of governing differential equations and solution techniques that are developed herein. The partial differential equations describing physical transport and the algebraic equations describing chemical equilibria are coupled using the sequential iteration approach. The model's ability to simulate pH, precipitation/dissolution, and pH-dependent sorption provides a means of evaluating the complex interactions between instream chemistry and hydrologic transport at the field scale.\r\n\r\nThis report details the development and application of OTEQ. Sections of the report describe model theory, input/output specifications, model applications, and installation instructions. OTEQ may be obtained over the Internet at http://water.usgs.gov/software/OTEQ.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6B6","usgsCitation":"Runkel, R.L., 2010, One-Dimensional Transport with Equilibrium Chemistry (OTEQ) - A reactive transport model for streams and rivers: U.S. Geological Survey Techniques and Methods 6-B6, vii, 101 p. , https://doi.org/10.3133/tm6B6.","productDescription":"vii, 101 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":125888,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_6_b6.jpg"},{"id":13438,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/06b06/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db6969c6","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304634,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98190,"text":"ofr20101010 - 2010 - The Quaternary Silver Creek Fault Beneath the Santa Clara Valley, California","interactions":[],"lastModifiedDate":"2018-05-02T10:15:27","indexId":"ofr20101010","displayToPublicDate":"2010-02-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1010","title":"The Quaternary Silver Creek Fault Beneath the Santa Clara Valley, California","docAbstract":"The northwest-trending Silver Creek Fault is a 40-km-long strike-slip fault in the eastern Santa Clara Valley, California, that has exhibited different behaviors within a changing San Andreas Fault system over the past 10-15 Ma. Quaternary alluvium several hundred meters thick that buries the northern half of the Silver Creek Fault, and that has been sampled by drilling and imaged in a detailed seismic reflection profile, provides a record of the Quaternary history of the fault. We assemble evidence from areal geology, stratigraphy, paleomagnetics, ground-water hydrology, potential-field geophysics, and reflection and earthquake seismology to determine the long history of the fault in order to evaluate its current behavior. \r\n\r\nThe fault formed in the Miocene more than 100 km to the southeast, as the southwestern fault in a 5-km-wide right step to the Hayward Fault, within which the 40-km-long Evergreen pull-apart basin formed. Later, this basin was obliquely cut by the newly recognized Mt. Misery Fault to form a more direct connection to the Hayward Fault, although continued growth of the basin was sufficient to accommodate at least some late Pliocene alluvium. Large offset along the San Andreas-Calaveras-Mt Misery-Hayward Faults carried the basin northwestward almost to its present position when, about 2 Ma, the fault system was reorganized. This led to near abandonment of the faults bounding the pull-apart basin in favor of right slip extending the Calaveras Fault farther north before stepping west to the Hayward Fault, as it does today. Despite these changes, the Silver Creek Fault experienced a further 200 m of dip slip in the early Quaternary, from which we infer an associated 1.6 km or so of right slip, based on the ratio of the 40-km length of the strike-slip fault to a 5-km depth of the Evergreen Basin. This dip slip ends at a mid-Quaternary unconformity, above which the upper 300 m of alluvial cover exhibits a structural sag at the fault that we interpret as a negative flower structure. This structure implies some continuing strike slip on the Silver Creek Fault in the late Quaternary as well, with a transtensional component but no dip slip. \r\n\r\nOur only basis for estimating the rate of this later Quaternary strike slip on the Silver Creek Fault is to assume continuation of the inferred early Quaternary rate of less than 2 mm/yr. Faulting evident in a detailed seismic reflection profile across the Silver Creek Fault extends up to the limit of data at a depth of 50 m and age of about 140 ka, and the course of Coyote Creek suggests Holocene capture in a structural depression along the fault. No surface trace is evident on the alluvial plain, however, and convincing evidence of Holocene offset is lacking. Few instrumentally recorded earthquakes are located near the fault, and those that are near its southern end represent cross-fault shortening, not strike slip. The fault might have been responsible, however, for two poorly located moderate earthquakes that occurred in the area in 1903. Its southeastern end does mark an abrupt change in the pattern of abundant instrumentally recorded earthquakes along the Calaveras Fault-in both its strike and in the depth distribution of hypocenters-that could indicate continuing influence by the Silver Creek Fault. In the absence of convincing evidence to the contrary, and as a conservative estimate, we presume that the Silver Creek Fault has continued its strike-slip movement through the Holocene, but at a very slow rate. Such a slow rate would, at most, yield very infrequent damaging earthquakes. If the 1903 earthquakes did, in fact, occur on the Silver Creek Fault, they would have greatly reduced the short-term future potential for large earthquakes on the fault. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101010","usgsCitation":"Wentworth, C.M., Williams, R., Jachens, R.C., Graymer, R.W., and Stephenson, W.J., 2010, The Quaternary Silver Creek Fault Beneath the Santa Clara Valley, California: U.S. Geological Survey Open-File Report 2010-1010, ii, 50 p. , https://doi.org/10.3133/ofr20101010.","productDescription":"ii, 50 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":198432,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13434,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1010/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.41666666666667,37 ], [ -122.41666666666667,37.75 ], [ -121.41666666666667,37.75 ], [ -121.41666666666667,37 ], [ -122.41666666666667,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67ad30","contributors":{"authors":[{"text":"Wentworth, Carl M. 0000-0003-2569-569X cwent@usgs.gov","orcid":"https://orcid.org/0000-0003-2569-569X","contributorId":1178,"corporation":false,"usgs":true,"family":"Wentworth","given":"Carl","email":"cwent@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":304619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Robert A. rawilliams@usgs.gov","contributorId":1357,"corporation":false,"usgs":true,"family":"Williams","given":"Robert A.","email":"rawilliams@usgs.gov","affiliations":[{"id":301,"text":"Geologic Hazards Team","active":false,"usgs":true}],"preferred":false,"id":304621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jachens, Robert C. jachens@usgs.gov","contributorId":1180,"corporation":false,"usgs":true,"family":"Jachens","given":"Robert","email":"jachens@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":304620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graymer, Russell W. 0000-0003-4910-5682 rgraymer@usgs.gov","orcid":"https://orcid.org/0000-0003-4910-5682","contributorId":1052,"corporation":false,"usgs":true,"family":"Graymer","given":"Russell","email":"rgraymer@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":304618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":304617,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98191,"text":"ds474 - 2010 - Groundwater-quality data in the Colorado River study unit, 2007: Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2022-07-20T12:11:49.113236","indexId":"ds474","displayToPublicDate":"2010-02-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"474","title":"Groundwater-quality data in the Colorado River study unit, 2007: Results from the California GAMA Program","docAbstract":"<p>Groundwater quality in the 188-square-mile Colorado River Study unit (COLOR) was investigated October through December 2007 as part of the Priority Basin Project of the California State Water Resources Control Board (SWRCB) Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basin Project was developed in response to the Groundwater Quality Monitoring Act of 2001, and the U.S. Geological Survey (USGS) is the technical project lead.</p><p>The Colorado River study was designed to provide a spatially unbiased assessment of the quality of raw groundwater used for public water supplies within COLOR, and to facilitate statistically consistent comparisons of groundwater quality throughout California. Samples were collected from 28 wells in three study areas in San Bernardino, Riverside, and Imperial Counties. Twenty wells were selected using a spatially distributed, randomized grid-based method to provide statistical representation of the Study unit; these wells are termed ‘grid wells’. Eight additional wells were selected to evaluate specific water-quality issues in the study area; these wells are termed ‘understanding wells.’</p><p>The groundwater samples were analyzed for organic constituents (volatile organic compounds [VOC], gasoline oxygenates and degradates, pesticides and pesticide degradates, pharmaceutical compounds), constituents of special interest (perchlorate, 1,4-dioxane, and 1,2,3-trichlorpropane [1,2,3-TCP]), naturally occurring inorganic constituents (nutrients, major and minor ions, and trace elements), and radioactive constituents. Concentrations of naturally occurring isotopes (tritium, carbon-14, and stable isotopes of hydrogen and oxygen in water), and dissolved noble gases also were measured to help identify the sources and ages of the sampled groundwater. In total, approximately 220 constituents and water-quality indicators were investigated.</p><p>Quality-control samples (blanks, replicates, and matrix spikes) were collected at approximately 30 percent of the wells, and the results were used to evaluate the quality of the data obtained from the groundwater samples. Field blanks rarely contained detectable concentrations of any constituent, suggesting that contamination was not a significant source of bias in the data. Differences between replicate samples were within acceptable ranges and matrix-spike recoveries were within acceptable ranges for most compounds.</p><p>This study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, raw groundwater typically is treated, disinfected, or blended with other waters to maintain acceptable water quality. Regulatory thresholds apply to water that is served to the consumer, not to raw groundwater. However, to provide some context for the results, concentrations of constituents measured in the raw groundwater were compared to regulatory and nonregulatory health-based thresholds established by the U.S. Environmental Protection Agency (USEPA) and the California Department of Public Health (CDPH) and to thresholds established for aesthetic concerns by CDPH. Comparisons between data collected for this study and drinking-water thresholds are for illustrative purposes only and do not indicate compliance or noncompliance with those thresholds.</p><p>The concentrations of most constituents detected in groundwater samples were below drinking-water thresholds. Volatile organic compounds (VOC) were detected in approximately 35 percent of grid well samples; all concentrations were below health-based thresholds. Pesticides and pesticide degradates were detected in about 20 percent of all samples; detections were below health-based thresholds. No concentrations of constituents of special interest or nutrients were detected above health-based thresholds. Most of the major and minor ion constituents sampled do not have health-based thresholds; the exception is chloride. Concentrations of chloride, sulfate, and total dissolved solids detected in some of the well samples were above the nonenforceable thresholds for aesthetic concerns. Concentrations of fluoride were detected in 5 samples (from 4 grid wells and 1 understanding well) above the maximum contaminant level for California (MCL-CA). Concentrations of most of the trace elements in samples from the COLOR study were below health-based thresholds; exceptions included arsenic above the MCL-US, boron above the notification level for California (NL-CA), iron and manganese above the secondary maximum contaminant level for California (SMCL-CA), and molybdenum and strontium above the lifetime health advisory level (HAL-US) threshold. Most detections of radioactive constituents were below health-based thresholds; exceptions were alpha, uranium, and radon radioactivity. Alpha radioactivity with 72 hour count detections occurred in four grid wells and one understanding well, and 30-day count detections in two grid wells above the MCL-US. Uranium was detected twice in grid wells above the MCL-US threshold. Also, radon-222 was detected at concentrations above the proposed MCL-US in 19 samples (14&nbsp;grid and 5 understanding wells). No radon-222 was detected above the proposed MCL-US upper threshold.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds474","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Goldrath, D., Wright, M.T., and Belitz, K., 2010, Groundwater-quality data in the Colorado River study unit, 2007: Results from the California GAMA Program: U.S. Geological Survey Data Series 474, x, 66 p., https://doi.org/10.3133/ds474.","productDescription":"x, 66 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-10-01","temporalEnd":"2007-12-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":199350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13435,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/474/","linkFileType":{"id":5,"text":"html"}},{"id":404080,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91388.htm","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal Area Conic Projection","country":"United States","state":"California","otherGeospatial":"Colorado River study unit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.9167,\n              32.7203\n            ],\n            [\n              -114.4167,\n              32.7203\n            ],\n            [\n              -114.4167,\n              35.0667\n            ],\n            [\n              -114.9167,\n              35.0667\n            ],\n            [\n              -114.9167,\n              32.7203\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db65897b","contributors":{"authors":[{"text":"Goldrath, Dara A.","contributorId":59896,"corporation":false,"usgs":true,"family":"Goldrath","given":"Dara A.","affiliations":[],"preferred":false,"id":304624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Michael T. 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":1508,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":false,"id":304623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@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":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304622,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98195,"text":"ofr20091265 - 2010 - Application of the Systems Impact Assessment Model (SIAM) to fishery resource issues in the Klamath River, California","interactions":[],"lastModifiedDate":"2022-01-19T15:21:57.600466","indexId":"ofr20091265","displayToPublicDate":"2010-02-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1265","title":"Application of the Systems Impact Assessment Model (SIAM) to fishery resource issues in the Klamath River, California","docAbstract":"<p>At the request of two offices of the U.S. Fish and Wildlife Service (FWS) located in Yreka and Arcata, Calif., we applied the Systems Impact Assessment Model (SIAM) to analyze a variety of water management concerns associated with the Federal Energy Regulatory Commission (FERC) relicensing of the Klamath hydropower projects or with ongoing management of anadromous fish stocks in the mainstem Klamath River, Oregon and California. Requested SIAM analyses include predicted effects of reservoir withdrawal elevations, use of full active storage in Copco and Iron Gate Reservoirs to augment spring flows, and predicted spawning and juvenile outmigration timing of fall Chinook salmon. In an effort to further refine the analysis of spring flow effects on predicted fall Chinook production, additional SIAM analyses were performed for predicted response to spring flow release variability from Iron Gate Dam, high and low pulse flow releases, the predicted effects of operational constraints for both Upper Klamath Lake water surface elevations, and projected flow releases specified in the Klamath Project 2006 Operations Plan (April 10, 2006).</p><p>Results of SIAM simulations to determine flow and water temperature relationships indicate that up to 4 degrees C of thermal variability can be attributed to flow variations, but the effect is seasonal. Much more of thermal variability can be attributed to air temperature variations, up to 6 degrees C. Reservoirs affect the annual thermal signature by delaying spring warming by about 3 weeks and fall cooling by about 2 weeks. Multi-level release outlets on Iron Gate Dam would have limited utility; however, if releases are small (700 cfs) and a near-surface and bottom-level outlet could be blended, then water temperature may be reduced by 2-4 degrees C for a 4-week period during September. Using the full active storage in Copco and Iron Gate Reservoir, although feasible, had undesirable ramifications such as earlier spring warming, loss of hydropower production, and inability to re-fill the reservoirs without causing shortages elsewhere in the system. Altering spawning and outmigration timing may be important management objectives for the salmon fishery, but difficult to implement. SIAM predicted benefits that might occur if water temperature was cooler in fall and spring emergence was advanced; however, model simulations were based on purely arbitrary thermal reductions. Spring flow variability did indicate that juvenile fall Chinook rearing habitat was the major biological 'bottleneck' for year class success. Rearing habitat is maximal in a range between 4,500 and 5,500 cfs below Iron Gate Dam. These flow levels are not typically provided by Klamath River system operations, except in very wet years. The incremental spring flow analysis provided insight into when and how long a pulse flow should occur to provide predicted fall Chinook salmon production increases. In general, March 15th - April 30th of any year was the period for pulse flows and 4000 cfs was the target flow release that provided near-optimal juvenile rearing habitat. Again, competition for water resources in the Klamath River Basin may make implementation of pulsed flows difficult.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091265","usgsCitation":"Campbell, S.G., Bartholow, J.M., and Heasley, J., 2010, Application of the Systems Impact Assessment Model (SIAM) to fishery resource issues in the Klamath River, California: U.S. Geological Survey Open-File Report 2009-1265, vi, 74 p., https://doi.org/10.3133/ofr20091265.","productDescription":"vi, 74 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":199403,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13439,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1265/","linkFileType":{"id":5,"text":"html"}},{"id":394518,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1265/pdf/OF09-1265.pdf","text":"Report","size":"1,036 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.12353515624999,\n              41.60312076451184\n            ],\n            [\n              -123.1512451171875,\n              39.740986355883564\n            ],\n            [\n              -122.44262695312501,\n              39.71986348549764\n            ],\n            [\n              -121.98669433593749,\n              39.80009595634838\n            ],\n            [\n              -121.86584472656251,\n              40.826280356677124\n            ],\n            [\n              -120.003662109375,\n              41.32732632036622\n            ],\n            [\n              -120.05859375,\n              42.00032514831621\n            ],\n            [\n              -120.1080322265625,\n              42.71069600569497\n            ],\n            [\n              -120.4046630859375,\n              43.723474896114794\n            ],\n            [\n              -121.6351318359375,\n              43.731414013769\n            ],\n            [\n              -121.8109130859375,\n              43.72744458647464\n            ],\n            [\n              -122.1844482421875,\n              43.48082639482503\n            ],\n            [\n              -122.18994140624999,\n              42.984558134256076\n            ],\n            [\n              -122.34374999999999,\n              42.39912215986002\n            ],\n            [\n              -123.04687499999999,\n              42.01665183556825\n            ],\n            [\n              -123.387451171875,\n              42.00848901572399\n            ],\n            [\n              -124.12353515624999,\n              41.60312076451184\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a6bf","contributors":{"authors":[{"text":"Campbell, Sharon G.","contributorId":23173,"corporation":false,"usgs":true,"family":"Campbell","given":"Sharon","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":304635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartholow, John M.","contributorId":77598,"corporation":false,"usgs":true,"family":"Bartholow","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heasley, John","contributorId":57004,"corporation":false,"usgs":true,"family":"Heasley","given":"John","email":"","affiliations":[],"preferred":false,"id":304636,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98181,"text":"ofr20091273 - 2010 - Investigation of submarine groundwater discharge along the tidal reach of the Caloosahatchee River, southwest Florida","interactions":[],"lastModifiedDate":"2023-12-07T14:32:15.739899","indexId":"ofr20091273","displayToPublicDate":"2010-02-10T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1273","title":"Investigation of submarine groundwater discharge along the tidal reach of the Caloosahatchee River, southwest Florida","docAbstract":"<p>The tidal reach of the Caloosahatchee River is an estuarine habitat that supports a diverse assemblage of biota including aquatic vegetation, shellfish, and finfish. The system has been highly modified by anthropogenic activity over the last 150 years (South Florida Water Management District (SFWMD), 2009). For example, the river was channelized and connected to Lake Okeechobee in 1881 (via canal C-43). Subsequently, three control structures (spillway and locks) were installed for flood protection (S-77 and S-78 in the 1930s) and for saltwater-intrusion prevention (S-79, W.P. Franklin Lock and Dam in 1966). The emplacement of these structures and their impact to natural water flow have been blamed for water-quality problems downstream within the estuary (Flaig and Capece, 1998; SFWMD, 2009). Doering and Chamberlain (1999) found that the operation of these control structures caused large and often rapid variations in salinity during various times of the year. Variable salinities could have deleterious impacts on the health of organisms in the Caloosahatchee River estuary.</p><p>Flow restriction along the Caloosahatchee has also been linked to surface-water eutrophication problems (Doering and Chamberlain, 1999; SFWMD, 2009) and bottom-sediment contamination (Fernandez and others, 1999). Sources of nutrients (nitrogen and phosphorous) that cause eutrophication are primarily from residential sources and agriculture, though wastewater-treatment-plant discharges can also play a major role (SFWMD, 2009). The pathway for many of these nutrients is by land runoff and direct discharge from stormwater drains. An often overlooked source of nutrients and other chemical constituents is from submarine groundwater discharge (SGD). SGD can be either a diffuse or point source (for example, submarine springs) of nutrients and other chemical constituents to coastal waters (Valiela and others, 1990; Swarzenski and others, 2001; 2006; 2007; 2008). SGD can be composed of either fresh or marine water or various mixed ratios of fresh and marine water (Martin and others, 2007). In coastal areas where water-table elevations (hydraulic gradients) are steep, such as in Hood Canal, Washington (Swarzenski and others, 2007; Simonds and others, 2008), groundwater entering the coastal marine waters can be fresh (~1-4 parts per thousand, ppt). SGD in coastal locations that have low relief (low hydraulic gradients) such as the study area or other locations in Florida are typically driven by tidal pumping (Reich and others, 2002; 2008; Swarzenski and others, 2008), and water advecting into surface water is composed of recirculated marine water mixed with either fresh or brackish groundwaters.</p><p>The importance of SGD in the delivery of nutrients and trace elements to coastal environments has been shown to be both beneficial and deleterious to ecosystem health (Valiela and others, 1990). The logical step in studying SGD is to map areas where SGD occurs. Methods such as continuous surface-water radon-222 (<sup>222</sup>Rn) mapping and electrical resistivity (continuous resistivity profiles, CRP) have been developed and used to identify potential SGD sites (Dulaiova and others, 2005; Swarzenski and others 2004; 2006; 2007; 2008; Reich and others, 2008). CRP data record subsurface, bulk-resistivity measurements to depths up to 25 meters (m). The bulk resistivity can be representative of changes in porewater salinity or in lithology (Reich and others, 2008; Swarzenski and others, 2008). Radon-222 (half-life = 3.28 days) is a natural tracer of groundwater, because sediments and rocks, containing uranium-bearing materials such as limestone and phosphatic material, continually produce<span>&nbsp;</span><sup>222</sup>Rn. Rn-222 (also referred to simply as radon) is an ideal tracer, because there is a constant source. Since radon is a gas,<span>&nbsp;</span><sup>222</sup>Rn does not build up in the surface water but rather evades directly to the atmosphere (Burnett and Dulaiova, 2003; Burnett and others, 2003; Dulaiova and Burnett, 2006).</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091273","usgsCitation":"Reich, C.D., 2010, Investigation of submarine groundwater discharge along the tidal reach of the Caloosahatchee River, southwest Florida: U.S. Geological Survey Open-File Report 2009-1273, Report: v, 20 p.; Appendix, https://doi.org/10.3133/ofr20091273.","productDescription":"Report: v, 20 p.; Appendix","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":423292,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91390.htm","linkFileType":{"id":5,"text":"html"}},{"id":199286,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13425,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1273/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Caloosahatchee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.6903,\n              26.7333\n            ],\n            [\n              -82,\n              26.7333\n            ],\n            [\n              -82,\n              26.5\n            ],\n            [\n              -81.6903,\n              26.5\n            ],\n            [\n              -81.6903,\n              26.7333\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4883e4b07f02db5180e8","contributors":{"authors":[{"text":"Reich, Christopher D. 0000-0002-2534-1456 creich@usgs.gov","orcid":"https://orcid.org/0000-0002-2534-1456","contributorId":900,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"creich@usgs.gov","middleInitial":"D.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304577,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98182,"text":"sir20105016 - 2010 - Development of an Environmental Flow Framework for the McKenzie River Basin, Oregon","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"sir20105016","displayToPublicDate":"2010-02-10T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5016","title":"Development of an Environmental Flow Framework for the McKenzie River Basin, Oregon","docAbstract":"The McKenzie River is a tributary to the Willamette River in northwestern Oregon. The McKenzie River is approximately 90 miles in length and has a drainage area of approximately 1,300 square miles. Two major flood control dams, a hydropower dam complex, and two hydropower canals significantly alter streamflows in the river. The structures reduce the magnitude and frequency of large and small floods while increasing the annual 7-day minimum streamflows. Stream temperatures also have been altered by the dams and other anthropogenic factors, such as the removal of riparian vegetation and channel simplification. Flow releases from one of the flood control dams are cooler in the summer and warmer in the fall in comparison to unregulated flow conditions before the dam was constructed. In 2006, the Oregon Department of Environmental Quality listed a total of 112.4, 6.3, and 55.7 miles of the McKenzie River basin mainstem and tributary stream reaches as thermally impaired for salmonid rearing, salmonid spawning, and bull trout, respectively.\r\n\r\nThe analyses in this report, along with previous studies, indicate that dams have altered downstream channel morphology and ecologic communities. In addition to reducing the magnitude and frequency of floods, dams have diminished sediment transport by trapping bed material. Other anthropogenic factors, such as bank stabilization, highway construction, and reductions of in-channel wood, also have contributed to the loss of riparian habitat. A comparison of aerial photography taken in 1939 and 2005 showed substantial decreases in secondary channels, gravel bars, and channel sinuosity, particularly along the lower alluvial reaches of the McKenzie River. In addition, bed armoring and incision may contribute to habitat degradation, although further study is needed to determine the extent of these processes. Peak streamflow reduction has led to vegetation colonization and stabilization of formerly active bar surfaces. The large flood control dams on Blue River and South Fork McKenzie River likely have had the greatest effect on downstream habitats because these sediment and flood-rich tributaries historically contributed a disproportionate volume of bed material, wood, and peak flows in comparison with the spring-fed tributaries of the upper McKenzie River basin.\r\n\r\nThe ecological effects of the dams were examined by focusing on nine exemplar aquatic and terrestrial species, including spring Chinook salmon, bull trout, Oregon chub, Pacific and western brook lamprey, red-legged frog, western pond turtle, alder, and cottonwood. The changes caused by the dams to streamflow hydrograph affect all these and other species in complex ways, although a few commonalities are apparent. A loss of channel complexity in the McKenzie River basin, which is associated with the reduction in flood events and widespread channel stabilization, is the primary factor related to the observed population declines for all nine exemplar species. The dams also have caused direct ecological effects by blocking access to habitat, changing the amount and timing of available critical habitat, and changing water temperature during important seasons for different life stages.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105016","collaboration":"Prepared in cooperation with the Eugene Water & Electric Board and The Nature Conservancy","usgsCitation":"Risley, J., Wallick, J., Waite, I., and Stonewall, A., 2010, Development of an Environmental Flow Framework for the McKenzie River Basin, Oregon: U.S. Geological Survey Scientific Investigations Report 2010-5016, Report: x, 94 p.; Appendices  , https://doi.org/10.3133/sir20105016.","productDescription":"Report: x, 94 p.; Appendices  ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":199222,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13426,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5016/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","projection":"Universal Transverse Mercator Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.33333333333333,43.75 ], [ -123.33333333333333,44.75 ], [ -121.73333333333333,44.75 ], [ -121.73333333333333,43.75 ], [ -123.33333333333333,43.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65e25d","contributors":{"authors":[{"text":"Risley, John","contributorId":38128,"corporation":false,"usgs":true,"family":"Risley","given":"John","affiliations":[],"preferred":false,"id":304581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallick, J. Rose 0000-0002-9392-272X rosewall@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-272X","contributorId":3583,"corporation":false,"usgs":true,"family":"Wallick","given":"J. Rose","email":"rosewall@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, Ian","contributorId":31868,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","affiliations":[],"preferred":false,"id":304580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stonewall, Adam J. 0000-0002-3277-8736 stonewal@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-8736","contributorId":2699,"corporation":false,"usgs":true,"family":"Stonewall","given":"Adam J.","email":"stonewal@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":304578,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98184,"text":"ofr20101022 - 2010 - Riparian vegetation response to the March 2008 short-duration, High-Flow Experiment— Implications of timing and frequency of flood disturbance on nonnative plant establishment along the Colorado River below Glen Canyon Dam","interactions":[],"lastModifiedDate":"2022-06-03T21:38:19.19713","indexId":"ofr20101022","displayToPublicDate":"2010-02-10T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1022","title":"Riparian vegetation response to the March 2008 short-duration, High-Flow Experiment— Implications of timing and frequency of flood disturbance on nonnative plant establishment along the Colorado River below Glen Canyon Dam","docAbstract":"Riparian plant communities exhibit various levels of diversity and richness. These communities are affected by flooding and are vulnerable to colonization by nonnative species. Since 1996, a series of three high-flow experiments (HFE), or water releases designed to mimic natural seasonal flooding, have been conducted at Glen Canyon Dam, Ariz., primarily to determine the effectiveness of using high flows to conserve sediment, a limited resource. These experiments also provide opportunities to examine the susceptibility of riparian plant communities to nonnative species invasions. The third and most recent HFE was conducted from March 5 to 9, 2008, and scientists with the U.S. Geological Survey's Grand Canyon Monitoring and Research Center examined the effects of high flows on riparian vegetation as part of the overall experiment. Total plant species richness, nonnative species richness, percent plant cover, percent organic matter, and total carbon measured from sediment samples were compared for Grand Canyon riparian vegetation zones immediately following the HFE and 6 months later. These comparisons were used to determine if susceptibility to nonnative species establishment varied among riparian vegetation zones and if the timing of the HFE affected nonnative plant establishment success. The 2008 HFE primarily buried vegetation rather than scouring it. Percent nonnative cover did not differ among riparian vegetation zones; however, in the river corridor affected by Glen Canyon Dam operations, nonnative species richness showed significant variation. For example, species richness was significantly greater immediately after and 6 months following the HFE in the hydrologic zone farthest away from the shoreline, the area that represents the oldest riparian zone within the post-dam riparian area. In areas closer to the river channel, tamarisk (Tamarix ramosissima X chinensis) seedling establishment occurred (<2 percent cover) in 2008 but not to the extent reported in either 2000, a year when experimental summer flows coincided with tamarisk seed production, or in 1986, a year following several years of sustained flooding. The results from the 2008 HFE suggest that riparian vegetation zones subject to intermittent disturbance and near the river under normal dam operations are more susceptible to nonnative species introductions following a disturbance. This study also finds that the timing of an HFE affects the types of species that can become established. For example, HFEs conducted in March are associated with reduced tamarisk seedling establishment compared to disturbances later in the season. Additionally, early season, short-duration flooding that results in vegetation burial may favor clonal species. Along the Colorado River many of these clonal species are native; these species include arrowweed (Pluchea sericea), coyote willow (Salix exigua), and rivercane (Phragmites australis).","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101022","collaboration":"Grand Canyon Monitoring and Research Center","usgsCitation":"Ralston, B., 2010, Riparian vegetation response to the March 2008 short-duration, High-Flow Experiment— Implications of timing and frequency of flood disturbance on nonnative plant establishment along the Colorado River below Glen Canyon Dam: U.S. Geological Survey Open-File Report 2010-1022, iv, 30 p., https://doi.org/10.3133/ofr20101022.","productDescription":"iv, 30 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-03-05","temporalEnd":"2008-03-09","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":132354,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":401728,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91383.htm"},{"id":13428,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1022/","linkFileType":{"id":5,"text":"html"}}],"scale":"1400000","projection":"Stateplane, Arizona Central Zone, NAD 1983","country":"United States","state":"Arizona, Nevada","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.82910156249999,\n              35.35321610123823\n            ],\n            [\n              -110.687255859375,\n              35.35321610123823\n            ],\n            [\n              -110.687255859375,\n              37.36142550190517\n            ],\n            [\n              -114.82910156249999,\n              37.36142550190517\n            ],\n            [\n              -114.82910156249999,\n              35.35321610123823\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a13e4b07f02db602213","contributors":{"authors":[{"text":"Ralston, Barbara E.","contributorId":89848,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara E.","affiliations":[],"preferred":false,"id":304584,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98185,"text":"sir20105015 - 2010 - Sandbar response in Marble and Grand Canyons, Arizona, following the 2008 high-flow experiment on the Colorado River","interactions":[],"lastModifiedDate":"2023-09-18T19:52:45.49168","indexId":"sir20105015","displayToPublicDate":"2010-02-10T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5015","title":"Sandbar response in Marble and Grand Canyons, Arizona, following the 2008 high-flow experiment on the Colorado River","docAbstract":"<p><span>A 60-hour release of water at 1,203 cubic meters per second (m</span><sup>3</sup><span>/s) from Glen Canyon Dam in March 2008 provided an opportunity to analyze channel-margin response at discharge levels above the normal, diurnally fluctuating releases for hydropower plant operations. We compare measurements at sandbars and associated campsites along the mainstem Colorado River, downstream from Glen Canyon Dam, at 57 locations in Marble and Grand Canyons. Sandbar and main-channel response to the 2008 high-flow experiment (2008 HFE) was documented by measuring bar and bed topography at the study sites before and after the controlled flood and twice more in the following 6 months to examine the persistence of flood-formed deposits. The 2008 HFE caused widespread deposition at elevations above the stage equivalent to a flow rate of 227 m</span><sup>3</sup><span>/s and caused an increase in the area and volume of the high-elevation parts of sandbars, thereby increasing the size of campsite areas. In this study, we differentiate between four response styles, depending on how sediment was distributed throughout each study site. Then, we present the longitudinal pattern relevant to the different response styles and place the site responses in context with two previous high-release experiments conducted in 1996 and 2004. We find that (1) nearly every measured sandbar aggraded above the 227-m</span><sup>3</sup><span>/s water-surface elevation, resulting in sandbars as large or larger than occurred following previous high flows; (2) reaches closest to Glen Canyon Dam were characterized by a greater percentage of sites that incurred net erosion, although the total sand volume in all sediment-flux monitoring reaches was greater following the 2008 HFE than following previous high flows; and (3) longitudinal differences in topographic response in eddies and in the channel suggest a greater and more evenly distributed sediment supply than existed during previous controlled floods from Glen Canyon Dam.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105015","collaboration":"Prepared in cooperation with Northern Arizona University and Utah State University","usgsCitation":"Hazel, J., Grams, P.E., Schmidt, J.C., and Kaplinski, M., 2010, Sandbar response in Marble and Grand Canyons, Arizona, following the 2008 high-flow experiment on the Colorado River: U.S. Geological Survey Scientific Investigations Report 2010-5015, vi, 52 p., https://doi.org/10.3133/sir20105015.","productDescription":"vi, 52 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-03-01","temporalEnd":"2008-03-31","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":420916,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91384.htm","linkFileType":{"id":5,"text":"html"}},{"id":13429,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5015/","linkFileType":{"id":5,"text":"html"}},{"id":133342,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado, River, Grand Canyon, Marble Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114,\n              37\n            ],\n            [\n              -114,\n              35.55\n            ],\n            [\n              -111.4569,\n              35.55\n            ],\n            [\n              -111.4569,\n              37\n            ],\n            [\n              -114,\n              37\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdd65","contributors":{"authors":[{"text":"Hazel, Joseph E. Jr.","contributorId":91819,"corporation":false,"usgs":true,"family":"Hazel","given":"Joseph E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":304588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":304585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":304586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaplinski, Matt","contributorId":65817,"corporation":false,"usgs":true,"family":"Kaplinski","given":"Matt","affiliations":[],"preferred":false,"id":304587,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98186,"text":"fs20103009 - 2010 - 2008 High-Flow Experiment at Glen Canyon Dam Benefits Colorado River Resources in Grand Canyon National Park","interactions":[],"lastModifiedDate":"2018-03-21T15:46:02","indexId":"fs20103009","displayToPublicDate":"2010-02-10T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3009","title":"2008 High-Flow Experiment at Glen Canyon Dam Benefits Colorado River Resources in Grand Canyon National Park","docAbstract":"On March 5, 2008, the Department of the Interior began a 60-hour high-flow experiment at Glen Canyon Dam, Arizona, to determine if water releases designed to mimic natural seasonal flooding could be used to improve downstream resources in Glen Canyon National Recreation Area and Grand Canyon National Park. U.S. Geological Survey (USGS) scientists and their cooperators undertook a wide range of physical and biological resource monitoring and research activities before, during, and after the release. Scientists sought to determine whether or not high flows could be used to rebuild Grand Canyon sandbars, create nearshore habitat for the endangered humpback chub, and benefit other resources such as archaeological sites, rainbow trout, aquatic food availability, and riverside vegetation. This fact sheet summarizes research completed by January 2010. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103009","collaboration":"Grand Canyon Monitoring and Research Center","usgsCitation":"Melis, T., Topping, D.J., Grams, P.E., Rubin, D.M., Wright, S., Draut, A.E., Hazel, J., Ralston, B., Kennedy, T., Rosi-Marshall, E., Korman, J., Hilwig, K.D., and Schmit, L.M., 2010, 2008 High-Flow Experiment at Glen Canyon Dam Benefits Colorado River Resources in Grand Canyon National Park: U.S. Geological Survey Fact Sheet 2010-3009, 4 p., https://doi.org/10.3133/fs20103009.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-03-05","temporalEnd":"2010-01-31","costCenters":[{"id":347,"text":"Information Services","active":false,"usgs":true}],"links":[{"id":125883,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3009.bmp"},{"id":13430,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3009/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4922e4b0b290850eee99","contributors":{"authors":[{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":304590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":304594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":304591,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":304592,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304589,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":304601,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hazel, Joseph E. Jr.","contributorId":91819,"corporation":false,"usgs":true,"family":"Hazel","given":"Joseph E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":304600,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ralston, Barbara E.","contributorId":89848,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara E.","affiliations":[],"preferred":false,"id":304599,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kennedy, Theodore A. 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":50227,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":304598,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rosi-Marshall, Emma","contributorId":32266,"corporation":false,"usgs":true,"family":"Rosi-Marshall","given":"Emma","affiliations":[],"preferred":false,"id":304596,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Korman, Josh","contributorId":29922,"corporation":false,"usgs":true,"family":"Korman","given":"Josh","affiliations":[],"preferred":false,"id":304595,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hilwig, Kara D.","contributorId":20865,"corporation":false,"usgs":true,"family":"Hilwig","given":"Kara","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":304593,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schmit, Lara M.","contributorId":36253,"corporation":false,"usgs":true,"family":"Schmit","given":"Lara","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304597,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":98179,"text":"sir20095217 - 2010 - Antibiotic, pharmaceutical, and wastewater-compound data for Michigan, 1998-2005","interactions":[],"lastModifiedDate":"2019-08-13T09:46:11","indexId":"sir20095217","displayToPublicDate":"2010-02-09T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5217","title":"Antibiotic, pharmaceutical, and wastewater-compound data for Michigan, 1998-2005","docAbstract":"Beginning in the late 1990's, the U.S. Geological Survey began to develop analytical methods to detect, at concentrations less than 1 microgram per liter (ug/L), emerging water contaminants such as pharmaceuticals, personal-care chemicals, and a variety of other chemicals associated with various human and animal sources. During 1998-2005, the U.S. Geological Survey analyzed the following Michigan water samples: 41 samples for antibiotic compounds, 28 samples for pharmaceutical compounds, 46 unfiltered samples for wastewater compounds (dissolved and suspended compounds), and 113 filtered samples for wastewater compounds (dissolved constituents only). The purpose of this report is to summarize the status of emerging contaminants in Michigan waters based on data from several different project-specific sample-collection efforts in Michigan during an 8-year period. During the course of the 8-year sampling effort, antibiotics were determined at 20 surface-water sites and 2 groundwater sites, pharmaceuticals were determined at 11 surface-water sites, wastewater compounds in unfiltered water were determined at 31 surface-water sites, and wastewater compounds in filtered water were determined at 40 surface-water and 4 groundwater sites. Some sites were visited only once, but others were visited multiple times. A variety of quality-assurance samples also were collected. This report describes the analytical methods used, describes the variations in analytical methods and reporting levels during the 8-year period, and summarizes all data using current (2009) reporting criteria. Very few chemicals were detected at concentrations greater than current laboratory reporting levels, which currently vary from a low of 0.005 ug/L for some antibiotics to 5 ug/L for some wastewater compounds. Nevertheless, 10 of 51 chemicals in the antibiotics analysis, 9 of 14 chemicals in the pharmaceuticals analysis, 34 of 67 chemicals in the unfiltered-wastewater analysis, and 56 of 62 chemicals in the filtered-wastewater analysis were detected. Antibiotics were detected at 7 of 20 tested surface-water sites, but none were detected in 2 groundwater samples. Pharmaceuticals were detected at 7 of 11 surface-water sites. Wastewater compounds were detected at 25 of 31 sites for which unfiltered water samples were analyzed and at least once at all 40 surface-water sites and all 4 groundwater sites for which filtered water samples were analyzed. \r\n\r\n\r\nOverall, the chemicals detected most frequently in Michigan waters were similar to those reported frequently in other studies nationwide. Patterns of chemical detections were site specific and appear to be related to local sources, overall land use, and hydrologic conditions at the time of sampling. Field-blank results provide important information for the design of future sampling programs in Michigan and demonstrate the need for careful field-study design. Field-replicate results indicated substantial confidence regarding the presence or absence of the many chemicals tested. Overall, data reported herein indicate that a wide array of antibiotic, pharmaceutical, and organic wastewater compounds occur in Michigan waters. Patterns of occurrence, with respect to hydrologic, land use, and source variables, generally appear to be similar for Michigan as for other sampled waters across the United States. The data reported herein can serve as a basis for future studies in Michigan.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095217","collaboration":"Prepared in cooperation with the Michigan Department of Environmental Quality","usgsCitation":"Haack, S., 2010, Antibiotic, pharmaceutical, and wastewater-compound data for Michigan, 1998-2005: U.S. Geological Survey Scientific Investigations Report 2009-5217, v, 36 p., https://doi.org/10.3133/sir20095217.","productDescription":"v, 36 p.","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1998-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":125882,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5217.jpg"},{"id":13424,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5217/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.25,42.25 ], [ -87.25,45.416666666666664 ], [ -82.41666666666667,45.416666666666664 ], [ -82.41666666666667,42.25 ], [ -87.25,42.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b1d2","contributors":{"authors":[{"text":"Haack, Sheridan Kidd","contributorId":81860,"corporation":false,"usgs":true,"family":"Haack","given":"Sheridan Kidd","affiliations":[],"preferred":false,"id":304569,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98173,"text":"sir20095220 - 2010 - Review of Trace-Element Field-Blank Data Collected for the California Groundwater Ambient Monitoring and Assessment (GAMA) Program, May 2004-January 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20095220","displayToPublicDate":"2010-02-06T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5220","title":"Review of Trace-Element Field-Blank Data Collected for the California Groundwater Ambient Monitoring and Assessment (GAMA) Program, May 2004-January 2008","docAbstract":"Trace-element quality-control samples (for example, source-solution blanks, field blanks, and field replicates) were collected as part of a statewide investigation of groundwater quality in California, known as the Priority Basins Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basins Project is being conducted by the U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board (SWRCB) to assess and monitor the quality of groundwater resources used for drinking-water supply and to improve public knowledge of groundwater quality in California.\r\n\r\nTrace-element field blanks were collected to evaluate potential bias in the corresponding environmental data. Bias in the environmental data could result from contamination in the field during sample collection, from the groundwater coming into contact with contaminants on equipment surfaces or from other sources, or from processing, shipping, or analyzing the samples. Bias affects the interpretation of environmental data, particularly if any constituents are present solely as a result of extrinsic contamination that would have otherwise been absent from the groundwater that was sampled. Field blanks were collected, analyzed, and reviewed to identify and quantify extrinsic contamination bias. Data derived from source-solution blanks and laboratory quality-control samples also were considered in evaluating potential contamination bias. \r\n\r\nEighty-six field-blank samples collected from May 2004 to January 2008 were analyzed for the concentrations of 25 trace elements. Results from these field blanks were used to interpret the data for the 816 samples of untreated groundwater collected over the same period. Constituents analyzed were aluminum (Al), antimony (Sb), arsenic (As), barium (Ba), beryllium (Be), boron (B), cadmium (Cd), chromium (Cr), cobalt (Co), copper (Cu), iron (Fe), lead (Pb), lithium (Li), manganese (Mn), mercury (Hg), molybdenum (Mo), nickel (Ni), selenium (Se), silver (Ag), strontium (Sr), thallium (Tl), tungsten (W), uranium (U), vanadium (V), and zinc (Zn). The detection frequency and the 90th percentile concentration at greater than 90 percent confidence were determined from the field-blank data for each trace element, and these results were compared to each constituent's long-term method detection level (LT-MDL) to determine whether a study reporting level (SRL) was necessary to ensure that no more than 10 percent of the detections in groundwater samples could be attributed solely to contamination bias. \r\n\r\nOnly two of the trace elements analyzed, Li and Se, had zero detections in the 86 field blanks. Ten other trace elements (Sb, As, Be, B, Cd, Co, Mo, Ag, Tl, and U) were detected in fewer than 5 percent of the field blanks. The field-blank results for these constituents did not necessitate establishing SRLs. Of the 13 constituents that were detected in more than 5 percent of the field blanks, six (Al, Ba, Cr, Mn, Hg, and V) had field-blank results that indicated a need for SRLs that were at or below the highest laboratory reporting levels (LRL) used during the sampling period; these SRLs were needed for concentrations between the LT-MDLs and LRLs. The other seven constituents with detection frequencies above 5 percent (Cu, Fe, Pb, Ni, Sr, W, and Zn) had field-blank results that necessitated SRLs greater than the highest LRLs used during the study period. SRLs for these seven constituents, each set at the 90th percentile of their concentrations in the field blanks, were at least an order of magnitude below the regulatory thresholds established for drinking water for health or aesthetic purposes; therefore, reporting values below the SRLs as less than or equal to (=) the measured value would not prevent the identification of values greater than the drinking-water thresholds. The SRLs and drinking-water thresholds, respectively, for these 7 trace elements are Cu (1.7 ?g/L and 1,300 ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095220","collaboration":"In cooperation with the California State Water Resources Control Board\r\n","usgsCitation":"Olsen, L., Fram, M.S., and Belitz, K., 2010, Review of Trace-Element Field-Blank Data Collected for the California Groundwater Ambient Monitoring and Assessment (GAMA) Program, May 2004-January 2008: U.S. Geological Survey Scientific Investigations Report 2009-5220, vii, 47 p. , https://doi.org/10.3133/sir20095220.","productDescription":"vii, 47 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2004-05-01","temporalEnd":"2008-01-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":125881,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5220.jpg"},{"id":13417,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5220/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal Area Conic Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.25,34.25 ], [ -125.25,42.333333333333336 ], [ -113.41666666666667,42.333333333333336 ], [ -113.41666666666667,34.25 ], [ -125.25,34.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db60413d","contributors":{"authors":[{"text":"Olsen, Lisa D. ldolsen@usgs.gov","contributorId":2707,"corporation":false,"usgs":true,"family":"Olsen","given":"Lisa D.","email":"ldolsen@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":304548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":304546,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98174,"text":"ofr20101028 - 2010 - Abundance, Timing of Migration, and Egg-to-Smolt Survival of Juvenile Chum Salmon, Kwethluk River, Alaska, 2007 and 2008 ","interactions":[],"lastModifiedDate":"2012-03-02T17:16:04","indexId":"ofr20101028","displayToPublicDate":"2010-02-06T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1028","title":"Abundance, Timing of Migration, and Egg-to-Smolt Survival of Juvenile Chum Salmon, Kwethluk River, Alaska, 2007 and 2008 ","docAbstract":"To better understand and partition mortality among life stages of chum salmon (Oncorhynchus keta), we used inclined-plane traps to monitor the migration of juveniles in the Kwethluk River, Alaska in 2007 and 2008. The migration of juvenile chum salmon peaked in mid-May and catch rates were greatest when water levels were rising. Movement of chum salmon was diurnal with highest catch rates occurring during the hours of low light (that is, 22:00 to 10:00). Trap efficiency ranged from 0.37 to 4.04 percent (overall efficiency = 1.94 percent). Total abundance of juvenile chum salmon was estimated to be 2.0 million fish in 2007 and 2.9 million fish in 2008. On the basis of the estimate of chum salmon females passing the Kwethluk River weir and age-specific fecundity, we estimated the potential egg deposition (PED) upstream of the weir and trapping site. Egg-to-smolt survival, calculated by dividing the estimate of juvenile chum salmon emigrating past the weir site by the estimate of PED, was 4.6 percent in 2007 and 5.2 percent in 2008. In addition to chum salmon, Chinook salmon O. tshawytscha), coho salmon (O. kisutch), sockeye salmon (O. nerka), and pink salmon (O. gorbuscha), as well as ten other fish species, were captured in the traps. As with chum salmon, catch of these species increased during periods of increasing discharge and peaked during hours of low light. This study successfully determined the characteristics of juvenile salmon migrations and estimated egg-to-smolt survival for chum salmon. This is the first estimate of survival for any juvenile salmon in the Arctic-Yukon-Kuskokwim region of Alaska and demonstrates an approach that can help to partition mortality between freshwater and marine life stages, information critical to understanding the dynamics of salmon in this region.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101028","collaboration":"Prepared in cooperation with the Yukon Delta National Wildlife Refuge","usgsCitation":"Burril, S., Zimmerman, C.E., Finn, J.E., Water Resources Division, U.S. Geological Survey, Gillikin, D., and U.S. Fish and Wildlife Service, 2010, Abundance, Timing of Migration, and Egg-to-Smolt Survival of Juvenile Chum Salmon, Kwethluk River, Alaska, 2007 and 2008 : U.S. Geological Survey Open-File Report 2010-1028, iv, 28 p. , https://doi.org/10.3133/ofr20101028.","productDescription":"iv, 28 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":129748,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13418,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1028/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b13e4b07f02db6a37c0","contributors":{"authors":[{"text":"Burril, Sean E.","contributorId":56183,"corporation":false,"usgs":true,"family":"Burril","given":"Sean E.","affiliations":[],"preferred":false,"id":304552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":304549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, James E.","contributorId":11157,"corporation":false,"usgs":true,"family":"Finn","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":304550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gillikin, Daniel","contributorId":15966,"corporation":false,"usgs":true,"family":"Gillikin","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":304551,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"U.S. Fish and Wildlife Service","contributorId":128143,"corporation":true,"usgs":false,"organization":"U.S. Fish and Wildlife Service","id":535022,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98163,"text":"sim3108 - 2010 - Geologic Map of the House Rock Valley Area, Coconino County, Northern Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"sim3108","displayToPublicDate":"2010-02-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3108","title":"Geologic Map of the House Rock Valley Area, Coconino County, Northern Arizona","docAbstract":"This geologic map is a cooperative effort of the U.S. Geological Survey (USGS), the Bureau of Land Management, the National Park Service, and the U.S. Forest Service to provide a geologic database for resource management officials and visitor information services. This map was produced in response to information needs related to a proposed withdrawal of three segregated land areas near Grand Canyon National Park, Arizona, from new hard rock mining activity. House Rock Valley was designated as the east parcel of the segregated lands near the Grand Canyon. This map was needed to provide connectivity for the geologic framework of the Grand Canyon segregated land areas. \r\n\r\nThis geologic map of the House Rock Valley area encompasses approximately 280 mi2 (85.4 km2) within Coconino County, northern Arizona, and is bounded by longitude 111 degrees 37'30' to 112 degrees 05' W. and latitude 36 degrees 30' to 36 degrees 50' N. The map area is in the eastern part of the Arizona Strip, which lies within the southern Colorado Plateaus geologic province (herein Colorado Plateau). The Arizona Strip is the part of Arizona lying north of the Colorado River. The map is bound on the east by the Colorado River in Marble Canyon within Grand Canyon National Park and Glen Canyon National Recreation Area, on the south and west by the Kaibab National Forest and Grand Canyon National Game Preserve, and on the north by the Vermilion Cliffs Natural Area, the Paria Canyon Vermilion Cliffs Wilderness Area, and the Vermilion Cliffs National Monument. House Rock State Buffalo Ranch also bounds the southern edge of the map area. \r\n\r\nThe Bureau of Land Management Arizona Field Office in St. George, Utah, manages public lands of the Vermilion Cliffs Natural Area, Paria Canyon - Vermilion Cliffs Wilderness and Vermilion Cliffs National Monument. The North Kaibab Ranger District in Fredonia, Arizona, manages U.S. Forest Service land along the west edge of the map area and House Rock State Buffalo Ranch. Other lands include about 13 sections of Arizona State land, about ? of a section of private land along House Rock Wash, and about 1? sections of private land at Cliff Dwellers Lodge, Vermilion Cliffs Lodge, and Marble Canyon, Arizona. \r\n\r\nLandmark features within the map area include the Vermilion Cliffs, Paria Plateau, Marble Canyon, and House Rock Valley. Surface drainage in House Rock Valley is to the east toward the Colorado River in Marble Canyon. Large tributaries of Marble Canyon from north to south include Badger Canyon, Soap Creek, Rider Canyon, North Canyon, Bedrock Canyon, and South Canyon. Elevations range from about 2,875 ft (876 m) at the Colorado River in the southeast corner of the map to approximately 7,355 ft (2,224 m) on the east rim of Paria Plateau along the north-central edge of the map area. \r\n\r\nThree small settlements are in the map area along U.S. Highway 89A, Cliff Dwellers Lodge, Vermilion Cliffs Lodge, and Marble Canyon, Arizona. The community of Jacob Lake is about 9 mi (14.5 km) west of House Rock Valley on the Kaibab Plateau. Lees Ferry is 5 mi (8 km) north of Marble Canyon and marks the confluence of the Paria and Colorado Rivers and the beginning of Marble Canyon. U.S. Highway 89A provides access to the northern part of the map area. Dirt roads lead south into House Rock Valley from U.S. Highway 89A and are collectively maintained by the Bureau of Land Management, the U.S. National Forest Service, and the Grand Canyon Trust. \r\n\r\nHouse Rock Valley is one of the few remaining areas where uniform geologic mapping is needed for connectivity to the regional Grand Canyon geologic framework. This information is useful to Federal and State resource managers who direct environmental and land management programs that encompass such issues as range management, biological studies, flood control, water, and mineral-resource investigations. The geologic information will support future and ongoing geologic investigations and scientific studies ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3108","collaboration":"Prepared in cooperation with the Bureau of Land Management, the National Park Service, and the U.S. Forest Service","usgsCitation":"Billingsley, G.H., and Priest, S.S., 2010, Geologic Map of the House Rock Valley Area, Coconino County, Northern Arizona: U.S. Geological Survey Scientific Investigations Map 3108, 1 map; 1 pamphlet (23 p.); 4 data files, https://doi.org/10.3133/sim3108.","productDescription":"1 map; 1 pamphlet (23 p.); 4 data files","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":670,"text":"Western Region Geology and Geophysics Field Science Center-Flagstaff","active":false,"usgs":true}],"links":[{"id":194306,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13407,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3108/","linkFileType":{"id":5,"text":"html"}}],"scale":"50000","projection":"Universal Transverse Mercator projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.08333333333333,36.5 ], [ -112.08333333333333,36.833333333333336 ], [ -111.61749999999999,36.833333333333336 ], [ -111.61749999999999,36.5 ], [ -112.08333333333333,36.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a84bb","contributors":{"authors":[{"text":"Billingsley, George H.","contributorId":20711,"corporation":false,"usgs":true,"family":"Billingsley","given":"George","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":304506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Priest, Susan S. spriest@usgs.gov","contributorId":30204,"corporation":false,"usgs":true,"family":"Priest","given":"Susan","email":"spriest@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":304507,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98168,"text":"fs20093096 - 2010 - Health effects of energy resources","interactions":[],"lastModifiedDate":"2018-07-31T10:04:39","indexId":"fs20093096","displayToPublicDate":"2010-02-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-3096","title":"Health effects of energy resources","docAbstract":"Energy resources (coal, oil, and natural gas) are among the cornerstones of modern industrial society. The exploitation of these resources, however, is not without costs. Energy materials may contain harmful chemical substances that, if mobilized into air, water, or soil, can adversely impact human health and environmental quality. In order to address the issue of human exposure to toxic substances derived from energy resources, the U.S. Geological Survey (USGS) Energy Resources Program developed a project entitled 'Impacts of Energy Resources on Human Health and Environmental Quality.' The project is intended to provide policymakers and the public with the scientific information needed to weigh the human health and environmental consequences of meeting our energy needs. This fact sheet discusses several areas where the USGS Energy Resources Program is making scientific advances in this endeavor.\r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093096","usgsCitation":"Orem, W., Tatu, C., Pavlovic, N., Bunnell, J., Kolker, A., Engle, M., and Stout, B., 2010, Health effects of energy resources: U.S. Geological Survey Fact Sheet 2009-3096, 5 p., https://doi.org/10.3133/fs20093096.","productDescription":"5 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125878,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3096.bmp"},{"id":13411,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3096/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a62e4b07f02db636244","contributors":{"authors":[{"text":"Orem, William 0000-0003-4990-0539","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":105293,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"","affiliations":[],"preferred":false,"id":304528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tatu, Calin","contributorId":39081,"corporation":false,"usgs":true,"family":"Tatu","given":"Calin","email":"","affiliations":[],"preferred":false,"id":304526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pavlovic, Nikola","contributorId":105399,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Nikola","email":"","affiliations":[],"preferred":false,"id":304529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunnell, Joseph","contributorId":35412,"corporation":false,"usgs":true,"family":"Bunnell","given":"Joseph","affiliations":[],"preferred":false,"id":304525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolker, Allan 0000-0002-5768-4533 akolker@usgs.gov","orcid":"https://orcid.org/0000-0002-5768-4533","contributorId":643,"corporation":false,"usgs":true,"family":"Kolker","given":"Allan","email":"akolker@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Engle, Mark 0000-0001-5258-7374","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":9364,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","affiliations":[],"preferred":false,"id":304524,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stout, Ben","contributorId":57171,"corporation":false,"usgs":true,"family":"Stout","given":"Ben","email":"","affiliations":[],"preferred":false,"id":304527,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":98167,"text":"ofr20091260 - 2010 - Bank erosion, mass wasting, water clarity, bathymetry and a sediment budget along the dam-regulated Lower Roanoke River, North Carolina","interactions":[],"lastModifiedDate":"2019-08-28T09:34:46","indexId":"ofr20091260","displayToPublicDate":"2010-02-03T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1260","displayTitle":"Bank Erosion, Mass Wasting, Water Clarity, Bathymetry and a Sediment Budget Along the Dam-Regulated Lower Roanoke River, North Carolina","title":"Bank erosion, mass wasting, water clarity, bathymetry and a sediment budget along the dam-regulated Lower Roanoke River, North Carolina","docAbstract":"Dam construction and its impact on downstream fluvial processes may substantially alter ambient bank stability, floodplain inundation patterns, and channel morphology. Most of the world's largest rivers have been dammed, which has prompted management efforts to mitigate dam effects. Three high dams (completed between 1953 and 1963) occur along the Piedmont portion of the Roanoke River, North Carolina; just downstream, the lower part of the river flows across largely unconsolidated Coastal Plain deposits. To document bank erosion rates along the lower Roanoke River, more than 700 bank erosion pins were installed along 124 bank transects. Additionally, discrete measurements of channel bathymetry, water clarity, and presence or absence of mass wasting were documented along the entire 153-kilometer-long study reach. Amounts of bank erosion in combination with prior estimates of floodplain deposition were used to develop a bank erosion and floodplain deposition sediment budget for the lower river. Present bank erosion rates are relatively high [mean 42 milimeters per year (mm/yr)] and are greatest along the middle reaches (mean 60 mm/yr) and on lower parts of the bank on all reaches. Erosion rates were likely higher along upstream reaches than present erosion rates such that erosion rate maxima have migrated downstream. Mass wasting and water clarity also peak along the middle reaches.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091260","usgsCitation":"Schenk, E.R., Hupp, C.R., Richter, J.M., and Kroes, D.E., 2010, Bank erosion, mass wasting, water clarity, bathymetry and a sediment budget along the dam-regulated Lower Roanoke River, North Carolina: U.S. Geological Survey Open-File Report 2009-1260, 112 p., https://doi.org/10.3133/ofr20091260.","productDescription":"112 p.","numberOfPages":"112","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":194305,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13412,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1260/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","otherGeospatial":"Roanoke River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.646639,36.009613 ], [ -77.646639,36.328348 ], [ -76.992222,36.328348 ], [ -76.992222,36.009613 ], [ -77.646639,36.009613 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64ab44","contributors":{"authors":[{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":304519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":304520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richter, Jean M.","contributorId":53053,"corporation":false,"usgs":true,"family":"Richter","given":"Jean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kroes, Daniel E.","contributorId":32260,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":304521,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003862,"text":"70003862 - 2010 - Tracking tracer breakthrough in the hyporheic zone using time‐lapse DC resistivity, Crabby Creek, Pennsylvania","interactions":[],"lastModifiedDate":"2022-11-14T14:55:26.320792","indexId":"70003862","displayToPublicDate":"2010-02-02T01:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Tracking tracer breakthrough in the hyporheic zone using time‐lapse DC resistivity, Crabby Creek, Pennsylvania","docAbstract":"<p><span>Characterization of the hyporheic zone is of critical importance for understanding stream ecology, contaminant transport, and groundwater‐surface water interaction. A salt water tracer test was used to probe the hyporheic zone of a recently re‐engineered portion of Crabby Creek, a stream located near Philadelphia, PA. The tracer solution was tracked through a 13.5 meter segment of the stream using both a network of 25 wells sampled every 5&ndash;15 minutes and time‐lapse electrical resistivity tomographs collected every 11 minutes for six hours, with additional tomographs collected every 100 minutes for an additional 16 hours. The comparison of tracer monitoring methods is of keen interest because tracer tests are one of the few techniques available for characterizing this dynamic zone, and logistically it is far easier to collect resistivity tomographs than to install and monitor a dense network of wells. Our results show that resistivity monitoring captured the essential shape of the breakthrough curve and may indicate portions of the stream where the tracer lingered in the hyporheic zone. Time‐lapse resistivity measurements, however, represent time averages over the period required to collect a tomographic data set, and spatial averages over a volume larger than captured by a well sample. Smoothing by the resistivity data inversion algorithm further blurs the resulting tomograph; consequently resistivity monitoring underestimates the degree of fine‐scale heterogeneity in the hyporheic zone.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 23rd Annual Symposium on the Application of Gephysics to Engrineering and Envrionmental Problems (SAGEEP)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"23rd Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","conferenceDate":"April 11-15 2010","conferenceLocation":"Keystone, CO","language":"English","publisher":"Environmental and Engineering Geophysical Society","doi":"10.4133/1.3445534","usgsCitation":"Nyquist, J.E., Toran, L., Fang, A.C., Ryan, R.J., and Rosenberry, D.O., 2010, Tracking tracer breakthrough in the hyporheic zone using time‐lapse DC resistivity, Crabby Creek, Pennsylvania, <i>in</i> Proceedings of the 23rd Annual Symposium on the Application of Gephysics to Engrineering and Envrionmental Problems (SAGEEP), Keystone, CO, April 11-15 2010, p. 923-929, https://doi.org/10.4133/1.3445534.","productDescription":"7 p.","startPage":"923","endPage":"929","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019046","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":320536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Crabby Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.46998015988356,\n              40.06145251219067\n            ],\n            [\n              -75.47209195139096,\n              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Laura","contributorId":81622,"corporation":false,"usgs":false,"family":"Toran","given":"Laura","email":"","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":512729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fang, Allison C.","contributorId":120871,"corporation":false,"usgs":true,"family":"Fang","given":"Allison","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":512732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ryan, Robert J.","contributorId":116705,"corporation":false,"usgs":true,"family":"Ryan","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":512731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":512728,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70155090,"text":"70155090 - 2010 - Hydraulic modeling of mussel habitat at a bridge-replacement site, Allegheny River, Pennsylvania, USA","interactions":[],"lastModifiedDate":"2015-07-29T11:45:17","indexId":"70155090","displayToPublicDate":"2010-02-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Hydraulic modeling of mussel habitat at a bridge-replacement site, Allegheny River, Pennsylvania, USA","docAbstract":"<p id=\"\">The Allegheny River in Pennsylvania supports a large and diverse freshwater-mussel community, including two federally listed endangered species,&nbsp;<i>Pleurobema clava</i>(Clubshell) and&nbsp;<i>Epioblasma torulosa rangiana</i>&nbsp;(Northern Riffleshell). It is recognized that river hydraulics and morphology play important roles in mussel distribution. To assess the hydraulic influences of bridge replacement on mussel habitat, metrics such as depth, velocity, and their derivatives (shear stress, Froude number) were collected or computed.</p>\n<p id=\"\">The objectives of the project were to evaluate mussel and hydraulic data at a reference site and to compare those findings to a bridge-replacement site. The findings were used to support a statistical analysis, which establishes correlations between mussel count and hydraulics, and a numerical model to forecast habitat based on the statistics.</p>\n<p id=\"\">ArcGIS was selected to manage the data and generate a grid to compute area statistics for 3319, 4.9-m&nbsp;&times;&nbsp;4.9-m cells (cell) for total mussel count, depth, velocity, shear stress, and Froude number. The Wilcoxon Rank Sum test indicated no statistical significance between the total mussel count and the hydraulic variables; however, trellis graphs were used to account for the spatial variability in the data set. For the flow conditions measured, the total mussel count per cell is greatest at sections where (1) velocities range from 0.061 to 0.21&nbsp;m/s, (2) shear stresses range from 0.48 to 3.8&nbsp;dyne/cm<sup>2</sup>, and (3) Froude numbers range from 0.006 to 0.04.</p>\n<p id=\"\">Based on the statistical targets established, the hydraulic model results suggest that an additional 2428&nbsp;m<sup>2</sup>&nbsp;or a 30-percent increase in suitable mussel habitat could be generated at the replacement-bridge site when compared to the baseline condition associated with the existing bridge at that same location. The study did not address the influences of substrate, acid mine drainage, sediment loads from tributaries, and surface-water/ground-water exchange on mussel habitat. Future studies could include methods for quantifying (1) channel&ndash;substrate composition and distribution using tools such as hydroacoustic echosounders specifically designed and calibrated to identify bed composition and mussel populations, (2) surface-water and ground-water interactions, and (3) a high-streamflow event.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2009.10.019","usgsCitation":"Fulton, J.W., Wagner, C., Rogers, M.E., and Zimmerman, G.F., 2010, Hydraulic modeling of mussel habitat at a bridge-replacement site, Allegheny River, Pennsylvania, USA: Ecological Modelling, v. 221, no. 3, p. 540-554, https://doi.org/10.1016/j.ecolmodel.2009.10.019.","productDescription":"15 p.","startPage":"540","endPage":"554","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-004383","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":306228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","city":"East Brady, Foxburg","otherGeospatial":"Allegheny River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.68847274780273,\n              41.125530139647516\n            ],\n            [\n              -79.68847274780273,\n              41.14628070081167\n            ],\n            [\n              -79.67465400695801,\n              41.14628070081167\n            ],\n            [\n              -79.67465400695801,\n              41.125530139647516\n            ],\n            [\n              -79.68847274780273,\n              41.125530139647516\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.61852073669434,\n              40.98705774892777\n            ],\n            [\n              -79.61852073669434,\n              40.993180115976074\n            ],\n            [\n              -79.61195468902588,\n              40.993180115976074\n            ],\n            [\n              -79.61195468902588,\n              40.98705774892777\n            ],\n            [\n              -79.61852073669434,\n              40.98705774892777\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"221","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b98fbee4b08f6647be5179","contributors":{"authors":[{"text":"Fulton, John W. 0000-0002-5335-0720 jwfulton@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":2298,"corporation":false,"usgs":true,"family":"Fulton","given":"John","email":"jwfulton@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":false,"id":564790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, Megan E. mrogers@usgs.gov","contributorId":2300,"corporation":false,"usgs":true,"family":"Rogers","given":"Megan","email":"mrogers@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":564792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Gregory F.","contributorId":145619,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Gregory","email":"","middleInitial":"F.","affiliations":[{"id":16176,"text":"EnviroScience, Inc.","active":true,"usgs":false}],"preferred":false,"id":564793,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98159,"text":"fs20103002 - 2010 - Assessing the vulnerability of public-supply wells to contamination: Glacial aquifer system in Woodbury, Connecticut","interactions":[],"lastModifiedDate":"2021-11-04T18:14:32.80229","indexId":"fs20103002","displayToPublicDate":"2010-01-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3002","title":"Assessing the vulnerability of public-supply wells to contamination: Glacial aquifer system in Woodbury, Connecticut","docAbstract":"This fact sheet highlights findings from the vulnerability study of a public-supply well in Woodbury, Connecticut. The well typically produces water at the rate of 72 gallons per minute from the glacial aquifer system in the Pomperaug River Basin. Water samples were collected at the public-supply well and at monitoring wells installed in or near the simulated zone of contribution to the supply well. Samples of untreated water from the public-supply wellhead contained several types of undesirable constituents, including 11 volatile organic compounds (VOCs), nitrate, pesticides, uranium, and radon. Most of these constituents were detected at concentrations below drinking-water standards, where such standards exist. Only concentrations of the VOC trichlorethylene exceeded the Maximum Contaminant Level (MCL) of 5 micrograms per liter (ug/L) established by U.S. Environmental Protection Agency for drinking water. Radon concentrations exceeded a proposed-but not finalized-MCL of 300 picocuries per liter (pCi/L). \n\nOverall, the study findings point to four main factors that affect the movement and fate of contaminants and the vulnerability of the public-supply well in Woodbury: (1) groundwater age (how long ago water entered, or recharged, the aquifer); (2) the percentage of recharge received through urban areas; (3) the percentage of recharge received through dry wells and their proximity to the public-supply well; and (4) natural geochemical processes occurring within the aquifer system; that is, processes that affect the amounts and distribution of chemical substances in aquifer sediments and groundwater.\n\nA computer-model simulation of groundwater flow to the public-supply well was used to estimate the age of water particles entering the well along the length of the well screen. About 90 percent of the simulated flow to the well consists of water that entered the aquifer 9 or fewer years ago. Such young water is vulnerable to contaminants resulting from human activities, as indicated by the solvents, fuel components, road salt, and septic-system leachate that were detected in the glacial aquifer system during the current study. Age-dating combined with chemical modeling suggests that less than 2 percent of water produced by the public-supply well is water from the deep bedrock that is \"old\" (water that recharged, or entered, the aquifer before 1952). Such a small percentage of old groundwater entering the public-supply well offers little potential for dilution of young waters containing contaminants from human activities. \n\nShallow groundwater that originated as recharge through urban areas generally had higher median concentrations and more detections of volatile organic compounds (VOCs) than did groundwater from the deep glacial deposits or fractured bedrock that originated mainly as recharge through agricultural and undeveloped land. Shallow groundwater was also found to be affected by road salt and septic-system leachate. A chemical mixing model indicates that up to 15 percent of nitrate in water from the supply well is likely from septic-system leachate.\n\nThe Connecticut Department of Public Health has identified several potential sources of contamination in the commercial area of Woodbury (several light industrial or commercial properties where hazardous materials and petroleum products are used and stored). To reduce stormwater runoff in the commercial area, water from the parking lots and pavement is channeled into dry wells-drains that shunt water directly into the aquifer system, bypassing the soil and unsaturated zones. A computer-model simulation of groundwater flow indicates that approximately 16 percent of the water produced by the public-supply well is derived from runoff captured by these drains. Traveltime for water from the dry wells to the public-supply well ranges from about 1.5 to less than 4 years. Dry wells have the potential to enhance contaminant movement to the supply well, suggesting that stormwater-control methods cannot be considered separately from groundwater quality—they are linked. \n\nWater-quality protection in this setting depends on the entire community. If residents and businesses take steps to reduce input of manmade contaminants to groundwater, a positive effect on quality of the supply-well water might begin to be seen in less than 10 years, owing to the short residence time of water in the aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20103002","usgsCitation":"Jagucki, M.L., Brown, C., Starn, J.J., and Eberts, S., 2010, Assessing the vulnerability of public-supply wells to contamination: Glacial aquifer system in Woodbury, Connecticut: U.S. Geological Survey Fact Sheet 2010-3002, 6 p., https://doi.org/10.3133/fs20103002.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":125804,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3002.jpg"},{"id":13402,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3002/","linkFileType":{"id":5,"text":"html"}},{"id":391387,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91356.htm"}],"country":"United States","state":"Connecticut","city":"Woodbury","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.25202941894531,\n              41.49314949080981\n            ],\n            [\n              -73.13529968261719,\n              41.49314949080981\n            ],\n            [\n              -73.13529968261719,\n              41.57127917558171\n            ],\n            [\n              -73.25202941894531,\n              41.57127917558171\n            ],\n            [\n              -73.25202941894531,\n              41.49314949080981\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672a82","contributors":{"authors":[{"text":"Jagucki, Martha L. 0000-0003-3798-8393 mjagucki@usgs.gov","orcid":"https://orcid.org/0000-0003-3798-8393","contributorId":1794,"corporation":false,"usgs":true,"family":"Jagucki","given":"Martha","email":"mjagucki@usgs.gov","middleInitial":"L.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Craig J.","contributorId":104450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[],"preferred":false,"id":304492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":304491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":304490,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98150,"text":"pp1771 - 2010 - Groundwater flow systems at the Nevada Test Site, Nevada: A synthesis of potentiometric contours, hydrostratigraphy, and geologic structures","interactions":[],"lastModifiedDate":"2023-04-11T20:32:33.540345","indexId":"pp1771","displayToPublicDate":"2010-01-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1771","title":"Groundwater flow systems at the Nevada Test Site, Nevada: A synthesis of potentiometric contours, hydrostratigraphy, and geologic structures","docAbstract":"<p>Contaminants introduced into the subsurface of the Nevada Test Site by underground nuclear testing are of concern to the U.S. Department of Energy and regulators responsible for protecting human health and safety. The potential for contaminant movement away from the underground test areas and into the accessible environment is greatest by groundwater transport. The primary hydrologic control on this transport is evaluated and examined through a series of contour maps developed to represent the hydraulic-head distribution within each of the major aquifers underlying the area. Aquifers were identified and their extents delineated by merging and analyzing multiple hydrostratigraphic framework models developed by other investigators from existing geologic information. A map of the hydraulic-head distribution in each major aquifer was developed from a detailed evaluation and assessment of available water-level measurements. Multiple spreadsheets that accompany this report provide pertinent water-level and geologic data by well or drill hole.</p><p>Aquifers are mapped and discussed in general terms as being one of two types: alluvial–volcanic, or carbonate. Both aquifer types are subdivided and mapped as independent regional and local aquifers, based on the continuity of their component rock. Groundwater-flow directions, approximated from potentiometric contours that were developed from the hydraulic-head distribution, are indicated on the maps and discussed for each of the regional aquifers and for selected local aquifers. Hydraulic heads vary across the study area and are interpreted to range in altitude from greater than 5,000 feet in a regional alluvial–volcanic aquifer beneath a recharge area in the northern part of the study area to less than 2,300 feet in regional alluvial–volcanic and carbonate aquifers in the southwestern part of the study area. Flow directions throughout the study area are dominantly south-southwest with some local deviations. Vertical hydraulic gradients between aquifer types are downward throughout most of the study area; however, flow from the alluvial–volcanic aquifer into the underlying carbonate aquifer, where both aquifers are present, is believed to be minor because of an intervening confining unit. Limited exchange of water between aquifer types occurs by diffuse flow through the confining unit, by focused flow along fault planes, or by direct flow where the confining unit is locally absent.</p><p>Interflow between regional aquifers is evaluated and mapped to define major flow paths. These flow paths delineate tributary flow systems, which converge to form intermediate and regional flow systems. The implications of these flow systems in controlling transport of radionuclides away from the underground test areas at the Nevada Test Site are briefly discussed. Additionally, uncertainties in the delineation of aquifers, the development of potentiometric contours, and the identification of flow systems are identified and evaluated.</p><p>Eleven tributary flow systems and three larger flow systems are mapped in the Nevada Test Site area. Flow systems within the alluvial–volcanic aquifer dominate the western half of the study area, whereas flow systems within the carbonate aquifer are most prevalent in the southeastern half of the study area. Most of the flow in the regional alluvial–volcanic aquifer that moves through the underground testing area on Pahute Mesa is discharged to the land surface at springs and seeps in Oasis Valley. Flow in the regional carbonate aquifer is internally compartmentalized by major geologic structures, primarily thrust faults, which constrain flow into separate corridors. Contaminants that reach the regional carbonate aquifer from testing areas in Yucca and Frenchman Flats flow toward downgradient discharge areas through the Alkali Flat–Furnace Creek Ranch or Ash Meadows flow systems and their tributaries.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1771","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration, Nevada Site Office, Office of Environmental Management under Interagency Agreement, DE-A152-07NA28100U.","usgsCitation":"Fenelon, J.M., Sweetkind, D., and Laczniak, R.J., 2010, Groundwater flow systems at the Nevada Test Site, Nevada: A synthesis of potentiometric contours, hydrostratigraphy, and geologic structures: U.S. Geological Survey Professional Paper 1771, Report: vi, 54 p.;  3 Appendices; 6 Plates: 36.00 x 48.00 inches, https://doi.org/10.3133/pp1771.","productDescription":"Report: vi, 54 p.;  3 Appendices; 6 Plates: 36.00 x 48.00 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":125810,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1771.jpg"},{"id":13393,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1771/","linkFileType":{"id":5,"text":"html"}},{"id":415600,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91048.htm","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator Projection","country":"United States","state":"Nevada","otherGeospatial":"Nevada Test Site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.7861,\n              36.5733\n            ],\n            [\n              -116.7861,\n              37.3853\n            ],\n            [\n              -115.8333,\n              37.3853\n            ],\n            [\n              -115.8333,\n              36.5733\n            ],\n            [\n              -116.7861,\n              36.5733\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a95e4b07f02db65a09d","contributors":{"authors":[{"text":"Fenelon, Joseph M. 0000-0003-4449-245X jfenelon@usgs.gov","orcid":"https://orcid.org/0000-0003-4449-245X","contributorId":2355,"corporation":false,"usgs":true,"family":"Fenelon","given":"Joseph","email":"jfenelon@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":304458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laczniak, Randell J.","contributorId":90687,"corporation":false,"usgs":true,"family":"Laczniak","given":"Randell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":304459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98149,"text":"fs20103005 - 2010 - An overview of historical channel adjustment and selected hydraulic values in the Lower Sabine and Lower Brazos River Basins, Texas and Louisiana","interactions":[],"lastModifiedDate":"2016-08-12T16:00:42","indexId":"fs20103005","displayToPublicDate":"2010-01-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3005","title":"An overview of historical channel adjustment and selected hydraulic values in the Lower Sabine and Lower Brazos River Basins, Texas and Louisiana","docAbstract":"<p>The Sabine and Brazos are alluvial rivers; alluvial rivers are dynamic systems that adjust their geometry in response to changes in streamflow (discharge) and sediment load. In fluvial geomorphology, the term 'channel adjustment' refers to river channel changes in three geometric dimensions: (1) channel slope (profile); (2) the outline or shape, such as meandering or braided, projected on a horizontal plane (planform); and (3) cross-sectional form (shape). The primary objective of the study was to investigate how the channel morphology of these rivers has changed in response to reservoirs and other anthropogenic disturbances that have altered streamflow and sediment load. The results of this study are expected to aid ecological assessments in the lower Sabine River and lower Brazos River Basins for the Texas Instream Flow Program. Starting in the 1920s, several dams have been constructed on the Sabine and Brazos Rivers and their tributaries, and numerous bridges have been built and sometimes replaced multiple times, which have changed the natural flow regime and reduced or altered sediment loads downstream. Changes in channel geometry over time can reduce channel conveyance and thus streamflow, which can have adverse ecological effects. Channel attributes including cross-section form, channel slope, and planform change were evaluated to learn how each river's morphology changed over many years in response to natural and anthropogenic disturbances. Climate has large influence on the hydrologic regimes of the lower Sabine and lower Brazos River Basins. Equally important as climate in controlling the hydrologic regime of the two river systems are numerous reservoirs that regulate downstream flow releases. The hydrologic regimes of the two rivers and their tributaries reflect the combined influences of climate, flow regulation, and drainage area. Historical and contemporary cross-sectional channel geometries at 15 streamflow-gaging stations in the lower Sabine and lower Brazos River Basins were evaluated. An in-depth discussion of results from streamflow-gaging station 08028500 Sabine River near Bon Weir, Tex., is featured here as an example of the analyses that were done at each station.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20103005","collaboration":"Prepared in cooperation with the Texas Water Development Board","usgsCitation":"Heitmuller, F.T., Greene, L.E., and John D. Gordon, J.D., 2010, An overview of historical channel adjustment and selected hydraulic values in the Lower Sabine and Lower Brazos River Basins, Texas and Louisiana: U.S. Geological Survey Fact Sheet 2010-3005, 4 p., https://doi.org/10.3133/fs20103005.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":125803,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3005.jpg"},{"id":326469,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2010/3005/pdf/fs2010-3005.pdf"},{"id":13392,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3005/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db68604b","contributors":{"authors":[{"text":"Heitmuller, Franklin T.","contributorId":67476,"corporation":false,"usgs":true,"family":"Heitmuller","given":"Franklin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":304455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greene, Lauren E.","contributorId":22868,"corporation":false,"usgs":true,"family":"Greene","given":"Lauren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":304454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"John D. Gordon, John D.","contributorId":89625,"corporation":false,"usgs":true,"family":"John D. Gordon","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":304456,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98153,"text":"sim3101 - 2010 - Landsat Thematic Mapper Image Mosaic of Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"sim3101","displayToPublicDate":"2010-01-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3101","title":"Landsat Thematic Mapper Image Mosaic of Colorado","docAbstract":"The U.S. Geological Survey (USGS) Rocky Mountain Geographic Science Center (RMGSC) produced a seamless, cloud-minimized remotely-sensed image spanning the State of Colorado. Multiple orthorectified Landsat 5 Thematic Mapper (TM) scenes collected during 2006-2008 were spectrally normalized via reflectance transformation and linear regression based upon pseudo-invariant features (PIFS) following the removal of clouds. Individual Landsat scenes were then mosaicked to form a six-band image composite spanning the visible to shortwave infrared spectrum. This image mosaic, presented here, will also be used to create a conifer health classification for Colorado in Scientific Investigations Map 3103. \r\n\r\nAn archive of past and current Landsat imagery exists and is available to the scientific community (http://glovis.usgs.gov/), but significant pre-processing was required to produce a statewide mosaic from this information. Much of the data contained perennial cloud cover that complicated analysis and classification efforts. Existing Landsat mosaic products, typically three band image composites, did not include the full suite of multispectral information necessary to produce this assessment, and were derived using data collected in 2001 or earlier.\r\n\r\nA six-band image mosaic covering Colorado was produced. This mosaic includes blue (band 1), green (band 2), red (band 3), near infrared (band 4), and shortwave infrared information (bands 5 and 7). The image composite shown here displays three of the Landsat bands (7, 4, and 2), which are sensitive to the shortwave infrared, near infrared, and green ranges of the electromagnetic spectrum. Vegetation appears green in this image, while water looks black, and unforested areas appear pink. \r\n\r\nThe lines that may be visible in the on-screen version of the PDF are an artifact of the export methods used to create this file. The file should be viewed at 150 percent zoom or greater for optimum viewing.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3101","isbn":"978 1 4113 2635 4","usgsCitation":"Cole, C.J., Noble, S.M., Blauer, S.L., Friesen, B.A., and Bauer, M., 2010, Landsat Thematic Mapper Image Mosaic of Colorado: U.S. Geological Survey Scientific Investigations Map 3101, 1 map (46 x 36 inches); downloads directory, https://doi.org/10.3133/sim3101.","productDescription":"1 map (46 x 36 inches); downloads directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":125811,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3101.jpg"},{"id":13396,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3101/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","projection":"Albers Conical Equal Area Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,37 ], [ -109,41 ], [ -102,41 ], [ -102,37 ], [ -109,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6abbd6","contributors":{"authors":[{"text":"Cole, Christopher J. cjcole@usgs.gov","contributorId":2163,"corporation":false,"usgs":true,"family":"Cole","given":"Christopher","email":"cjcole@usgs.gov","middleInitial":"J.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":304466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noble, Suzanne M. smnoble@usgs.gov","contributorId":3400,"corporation":false,"usgs":true,"family":"Noble","given":"Suzanne","email":"smnoble@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":304468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blauer, Steven L.","contributorId":23644,"corporation":false,"usgs":true,"family":"Blauer","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":304469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friesen, Beverly A. bafriesen@usgs.gov","contributorId":3216,"corporation":false,"usgs":true,"family":"Friesen","given":"Beverly","email":"bafriesen@usgs.gov","middleInitial":"A.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":304467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauer, Mark A. mabauer@usgs.gov","contributorId":1409,"corporation":false,"usgs":true,"family":"Bauer","given":"Mark A.","email":"mabauer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":304465,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98131,"text":"ofr20091296 - 2010 - Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-2022: Part 1: Framework of Water-Quality Issues and Potential Approaches","interactions":[],"lastModifiedDate":"2012-03-02T17:16:07","indexId":"ofr20091296","displayToPublicDate":"2010-01-23T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1296","title":"Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-2022: Part 1: Framework of Water-Quality Issues and Potential Approaches","docAbstract":"In 1991, the U.S. Congress established the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program to develop long-term, nationally consistent information on the quality of the Nation's streams and groundwater.  Congress recognized the critical need for this information to support scientifically sound management, regulatory, and policy decisions concerning the increasingly stressed water resources of the Nation. \r\n\r\nThe long-term goals of NAWQA are to: (1) assess the status of water-quality conditions in the United States, (2) evaluate long-term trends in water-quality conditions, and (3) link status and trends with an understanding of the natural and human factors that affect water quality. These goals are national in scale, include both surface water and groundwater, and include consideration of water quality in relation to both human uses and aquatic ecosystems.\r\n\r\nSince 1991, NAWQA assessments and findings have fostered and supported major improvements in the availability and use of unbiased scientific information for decisionmaking, resource management, and planning at all levels of government.  These improvements have enabled agencies and stakeholders to cost-effectively address a wide range of water-quality issues related to natural and human influences on the quality of water and potential effects on aquatic ecosystems and human health (http://water.usgs.gov/nawqa/xrel.pdf). \r\n\r\nNAWQA, like all USGS programs, provides policy relevant information that serves as a scientific basis for decisionmaking related to resource management, protection, and restoration. The information is freely available to all levels of government, nongovernmental organizations, industry, academia, and the public, and is readily accessible on the NAWQA Web site and other diverse formats to serve the needs of the water-resource community at different technical levels. Water-quality conditions in streams and groundwater are described in more than 1,700 publications (available online at http://water.usgs.gov/nawqa/bib/), and are documented by more than 14 million data records representing about 7,600 stream sites, 8,100 wells, and 2,000 water-quality and ecological constituents that are available from the NAWQA data warehouse (http://infotrek.er.usgs.gov/traverse/f?p=NAWQA:HOME:0). The Program promotes collaboration and liaison with government officials, resource managers, industry representatives, and other stakeholders to increase the utility and relevance of NAWQA science to decisionmakers. As part of this effort, NAWQA supports integration of data from other organizations into NAWQA assessments, where appropriate and cost-effective, so that more comprehensive findings are available across geographic and temporal scales.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091296","collaboration":"Prepared in cooperation with the National Water-Quality Assessment Program","usgsCitation":"Rowe, G.L., Belitz, K., Essaid, H.I., Gilliom, R.J., Hamilton, P.A., Hoos, A.B., Lynch, D.D., Munn, M.D., and Wolock, D.W., 2010, Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-2022: Part 1: Framework of Water-Quality Issues and Potential Approaches: U.S. Geological Survey Open-File Report 2009-1296, v, 54 p., https://doi.org/10.3133/ofr20091296.","productDescription":"v, 54 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-01-01","temporalEnd":"2022-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125824,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1296.jpg"},{"id":13373,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1296/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa9e4b07f02db667ec7","contributors":{"authors":[{"text":"Rowe, Gary L. glrowe@usgs.gov","contributorId":1779,"corporation":false,"usgs":true,"family":"Rowe","given":"Gary","email":"glrowe@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":304276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":304272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":304278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":304273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamilton, Pixie A. pahamilt@usgs.gov","contributorId":1068,"corporation":false,"usgs":true,"family":"Hamilton","given":"Pixie","email":"pahamilt@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":304275,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoos, Anne B. abhoos@usgs.gov","contributorId":2236,"corporation":false,"usgs":true,"family":"Hoos","given":"Anne","email":"abhoos@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":304277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lynch, Dennis D. ddlynch@usgs.gov","contributorId":4326,"corporation":false,"usgs":true,"family":"Lynch","given":"Dennis","email":"ddlynch@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":304279,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Munn, Mark D. 0000-0002-7154-7252 mdmunn@usgs.gov","orcid":"https://orcid.org/0000-0002-7154-7252","contributorId":976,"corporation":false,"usgs":true,"family":"Munn","given":"Mark","email":"mdmunn@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304274,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wolock, David W.","contributorId":64357,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":304280,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70073507,"text":"70073507 - 2010 - Glacier microseismicity","interactions":[],"lastModifiedDate":"2018-07-07T18:01:54","indexId":"70073507","displayToPublicDate":"2010-01-22T12:54:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Glacier microseismicity","docAbstract":"We present a framework for interpreting small glacier seismic events based on data collected near the center of Bering Glacier, Alaska, in spring 2007. We find extremely high microseismicity rates (as many as tens of events per minute) occurring largely within a few kilometers of the receivers. A high-frequency class of seismicity is distinguished by dominant frequencies of 20–35 Hz and impulsive arrivals. A low-frequency class has dominant frequencies of 6–15 Hz, emergent onsets, and longer, more monotonic codas. A bimodal distribution of 160,000 seismic events over two months demonstrates that the classes represent two distinct populations. This is further supported by the presence of hybrid waveforms that contain elements of both event types. The high-low-hybrid paradigm is well established in volcano seismology and is demonstrated by a comparison to earthquakes from Augustine Volcano. We build on these parallels to suggest that fluid-induced resonance is likely responsible for the low-frequency glacier events and that the hybrid glacier events may be caused by the rush of water into newly opening pathways.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/G30606.1","usgsCitation":"West, M., Larsen, C., Truffer, M., O’Neel, S., and LeBlanc, L., 2010, Glacier microseismicity: Geology, v. 38, no. 4, p. 319-322, https://doi.org/10.1130/G30606.1.","productDescription":"4 p.","startPage":"319","endPage":"322","ipdsId":"IP-017166","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":281376,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G30606.1"},{"id":281378,"type":{"id":11,"text":"Document"},"url":"https://geology.geoscienceworld.org/content/38/4/319"},{"id":281379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bering Glacier","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.015555555555555555,0.0016666666666666668 ], [ -0.015555555555555555,0.0016666666666666668 ], [ -0.015555555555555555,0.0016666666666666668 ], [ -0.015555555555555555,0.0016666666666666668 ], [ -0.015555555555555555,0.0016666666666666668 ] ] ] } } ] }","volume":"38","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5ef0e4b0b290850fbff5","contributors":{"authors":[{"text":"West, Michael E.","contributorId":91830,"corporation":false,"usgs":true,"family":"West","given":"Michael E.","affiliations":[],"preferred":false,"id":488859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, Christopher F.","contributorId":107178,"corporation":false,"usgs":true,"family":"Larsen","given":"Christopher F.","affiliations":[],"preferred":false,"id":488860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Truffer, Martin","contributorId":48065,"corporation":false,"usgs":true,"family":"Truffer","given":"Martin","email":"","affiliations":[],"preferred":false,"id":488856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":488858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeBlanc, Laura","contributorId":49700,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Laura","email":"","affiliations":[],"preferred":false,"id":488857,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98129,"text":"sir20095227 - 2010 - The Massachusetts Sustainable-Yield Estimator: A decision-support tool to assess water availability at ungaged stream locations in Massachusetts","interactions":[],"lastModifiedDate":"2024-10-30T20:52:11.685734","indexId":"sir20095227","displayToPublicDate":"2010-01-19T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5227","title":"The Massachusetts Sustainable-Yield Estimator: A decision-support tool to assess water availability at ungaged stream locations in Massachusetts","docAbstract":"Federal, State and local water-resource managers require a variety of data and modeling tools to better understand water resources. The U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, has developed a statewide, interactive decision-support tool to meet this need. The decision-support tool, referred to as the Massachusetts Sustainable-Yield Estimator (MA SYE) provides screening-level estimates of the sustainable yield of a basin, defined as the difference between the unregulated streamflow and some user-specified quantity of water that must remain in the stream to support such functions as recreational activities or aquatic habitat. The MA SYE tool was designed, in part, because the quantity of surface water available in a basin is a time-varying quantity subject to competing demands for water.\r\n\r\nTo compute sustainable yield, the MA SYE tool estimates a daily time series of unregulated, daily mean streamflow for a 44-year period of record spanning October 1, 1960, through September 30, 2004. Selected streamflow quantiles from an unregulated, daily flow-duration curve are estimated by solving six regression equations that are a function of physical and climate basin characteristics at an ungaged site on a stream of interest. Streamflow is then interpolated between the estimated quantiles to obtain a continuous daily flow-duration curve. A time series of unregulated daily streamflow subsequently is created by transferring the timing of the daily streamflow at a reference streamgage to the ungaged site by equating exceedence probabilities of contemporaneous flow at the two locations. One of 66 reference streamgages is selected by kriging, a geostatistical method, which is used to map the spatial relation among correlations between the time series of the logarithm of daily streamflows at each reference streamgage and the ungaged site. Estimated unregulated, daily mean streamflows show good agreement with observed unregulated, daily mean streamflow at 18 streamgages located across southern New England. Nash-Sutcliffe efficiency goodness-of-fit values are between 0.69 and 0.98, and percent root-mean-square-error values are between 19 and 283 percent.\r\n\r\nThe MA SYE tool provides an estimate of streamflow adjusted for current (2000-04) water withdrawals and discharges using a spatially referenced database of permitted groundwater and surface-water withdrawal and discharge volumes. For a user-selected basin, the database is queried to obtain the locations of water withdrawal or discharge volumes within the basin. Groundwater and surface-water withdrawals and discharges are subtracted and added, respectively, from the unregulated, daily streamflow at an ungaged site to obtain a streamflow time series that includes the effects of these withdrawals and discharges. Users also have the option of applying an analytical solution to the time-varying, groundwater withdrawal and discharge volumes that take into account the effects of the aquifer properties on the timing and magnitude of streamflow alteration.\r\n\r\nFor the MA SYE tool, it is assumed that groundwater and surface-water divides are coincident. For areas of southeastern Massachusetts and Cape Cod where this assumption is known to be violated, groundwater-flow models are used to estimate average monthly streamflows at fixed locations. There are several limitations to the quality and quantity of the spatially referenced database of groundwater and surface-water withdrawals and discharges. The adjusted streamflow values do not account for the effects on streamflow of climate change, septic-system discharge, impervious area, non-public water-supply withdrawals less than 100,000 gallons per day, and impounded surface-water bodies.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095227","isbn":"9781411326644","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Archfield, S.A., Vogel, R.M., Steeves, P.A., Brandt, S.L., Weiskel, P.K., and Garabedian, S.P., 2010, The Massachusetts Sustainable-Yield Estimator: A decision-support tool to assess water availability at ungaged stream locations in Massachusetts: U.S. Geological Survey Scientific Investigations Report 2009-5227, Report: viii, 43 p.; Appendix: 4 Plates: 50.00 x 36.00 inches or smaller; Estimator Tool, https://doi.org/10.3133/sir20095227.","productDescription":"Report: viii, 43 p.; Appendix: 4 Plates: 50.00 x 36.00 inches 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