An acoustic Doppler current profiler interfaced with a differentially corrected global positioning system was used to map bathymetry and multi-dimensional velocities on the Matanuska River near Circle View Estates, Alaska. Data were collected along four spur dikes and a bend in the river during a period of active bank erosion. These data were collected as part of a larger investigation into channel processes being conducted to aid land managers with development of a long-term management plan for land near the river. The banks and streambed are composed of readily erodible material and the braided channels frequently scour and migrate. Lateral channel migration has resulted in the periodic loss of properties and structures along the river for decades.
For most of the survey, discharge of the Matanuska River was less than the 25th percentile of long-term streamflow. Despite this relatively low flow, measured water velocities were as high as 15 feet per second. The survey required a unique deployment of the acoustic Doppler current profiler in a tethered boat that was towed by a small inflatable raft. Data were collected along cross sections and longitudinal profiles. The bathymetric and velocity data document river conditions before the installation of an additional spur dike in 2006 and during a period of bank erosion. Data were collected along 1,700 feet of river in front of the spur dikes and along 1,500 feet of an eroding bank.
Data collected at the nose of spur dikes 2, 3, and 4 were selected to quantify the flow hydraulics at the locations subject to the highest velocities. The measured velocities and flow depths were greatest at the nose of the downstream-most spur dike. The maximum point velocity at the spur dike nose was 13.3 feet per second and the maximum depth-averaged velocity was 11.6 feet per second. The maximum measured depth was 12.0 feet at the nose of spur dike 4 and velocities greater than 10 feet per second were measured to a depth of 10 feet.
Data collected along an eroding bank provided details of the spatial distribution and variability in magnitude of velocities and flow depths while erosion was taking place. Erosion was concentrated in an area just downstream of the apex of a river bend. Measured velocities and flow depths were greater in the apex of the bend than in the area of maximum bank erosion. The maximum measured velocity was 12.9 feet per second at the apex and 11.2 feet per second in front of the eroding bank. The maximum measured depth was 10.2 feet at the apex and 5.2 feet in front of the eroding bank.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081359","collaboration":"Prepared in cooperation with the Matanuska-Susitna Borough","usgsCitation":"Conaway, J.S., 2008, Bathymetric and hydraulic survey of the Matanuska River near Circle View Estates, Alaska: U.S. Geological Survey Open-File Report 2008-1359, Report: iv, 21 p.; 2 Appendixes, https://doi.org/10.3133/ofr20081359.","productDescription":"Report: iv, 21 p.; 2 Appendixes","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":195283,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12121,"rank":99,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1359/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150,60.75 ], [ -150,62.5 ], [ -147,62.5 ], [ -147,60.75 ], [ -150,60.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6fe4b07f02db640aaa","contributors":{"authors":[{"text":"Conaway, Jeffrey S. 0000-0002-3036-592X jconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":2026,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeffrey","email":"jconaway@usgs.gov","middleInitial":"S.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":301127,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97119,"text":"ofr20081186 - 2008 - Watershed Regressions for Pesticides (WARP) for Predicting Annual Maximum and Annual Maximum Moving-Average Concentrations of Atrazine in Streams","interactions":[],"lastModifiedDate":"2012-03-08T17:16:31","indexId":"ofr20081186","displayToPublicDate":"2008-12-04T00:00:00","publicationYear":"2008","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":"2008-1186","title":"Watershed Regressions for Pesticides (WARP) for Predicting Annual Maximum and Annual Maximum Moving-Average Concentrations of Atrazine in Streams","docAbstract":"Regression models were developed for predicting annual maximum and selected annual maximum moving-average concentrations of atrazine in streams using the Watershed Regressions for Pesticides (WARP) methodology developed by the National Water-Quality Assessment Program (NAWQA) of the U.S. Geological Survey (USGS). The current effort builds on the original WARP models, which were based on the annual mean and selected percentiles of the annual frequency distribution of atrazine concentrations. Estimates of annual maximum and annual maximum moving-average concentrations for selected durations are needed to characterize the levels of atrazine and other pesticides for comparison to specific water-quality benchmarks for evaluation of potential concerns regarding human health or aquatic life.\r\n\r\nSeparate regression models were derived for the annual maximum and annual maximum 21-day, 60-day, and 90-day moving-average concentrations. Development of the regression models used the same explanatory variables, transformations, model development data, model validation data, and regression methods as those used in the original development of WARP. The models accounted for 72 to 75 percent of the variability in the concentration statistics among the 112 sampling sites used for model development. Predicted concentration statistics from the four models were within a factor of 10 of the observed concentration statistics for most of the model development and validation sites.\r\n\r\nOverall, performance of the models for the development and validation sites supports the application of the WARP models for predicting annual maximum and selected annual maximum moving-average atrazine concentration in streams and provides a framework to interpret the predictions in terms of uncertainty. For streams with inadequate direct measurements of atrazine concentrations, the WARP model predictions for the annual maximum and the annual maximum moving-average atrazine concentrations can be used to characterize the probable levels of atrazine for comparison to specific water-quality benchmarks. Sites with a high probability of exceeding a benchmark for human health or aquatic life can be prioritized for monitoring.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081186","usgsCitation":"Stone, W.W., Gilliom, R.J., and Crawford, C.G., 2008, Watershed Regressions for Pesticides (WARP) for Predicting Annual Maximum and Annual Maximum Moving-Average Concentrations of Atrazine in Streams: U.S. Geological Survey Open-File Report 2008-1186, viii, 19 p., https://doi.org/10.3133/ofr20081186.","productDescription":"viii, 19 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":195945,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12101,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1186/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad7e4b07f02db68460e","contributors":{"authors":[{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":301086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crawford, Charles G. 0000-0003-1653-7841 cgcrawfo@usgs.gov","orcid":"https://orcid.org/0000-0003-1653-7841","contributorId":1064,"corporation":false,"usgs":true,"family":"Crawford","given":"Charles","email":"cgcrawfo@usgs.gov","middleInitial":"G.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301087,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97115,"text":"sir20085109 - 2008 - Comparison of pumped and diffusion sampling methods to monitor concentrations of perchlorate and explosive compounds in ground water, Camp Edwards, Cape Cod, Massachusetts, 2004-05","interactions":[],"lastModifiedDate":"2019-08-20T12:56:44","indexId":"sir20085109","displayToPublicDate":"2008-12-04T00:00:00","publicationYear":"2008","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":"2008-5109","title":"Comparison of pumped and diffusion sampling methods to monitor concentrations of perchlorate and explosive compounds in ground water, Camp Edwards, Cape Cod, Massachusetts, 2004-05","docAbstract":"Laboratory and field tests were conducted at Camp Edwards on the Massachusetts Military Reservation on Cape Cod to examine the utility of passive diffusion sampling for long-term monitoring of concentrations of perchlorate and explosive compounds in ground water. The diffusion samplers were constructed of 1-inch-diameter rigid, porous polyethylene tubing. The results of laboratory tests in which diffusion samplers were submerged in containers filled with ground water containing perchlorate, RDX (hexahydro-1,3,5-trinitro-1,3,5-triazine), and HMX (octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine) indicate that concentrations inside the diffusion samplers equilibrated with concentrations in the containers within the 19-day-long test period. Field tests of the diffusion samplers were conducted in 15 wells constructed of 2- or 2.5-inch-diameter polyvinyl chloride pipe with 10-foot-long slotted screens. Concentrations of perchlorate, RDX, and HMX in the diffusion samplers placed in the wells for 42 to 52 days were compared to concentrations in samples collected by low-flow pumped sampling from 53 days before to 109 days after retrieval of the diffusion samples. The results of the field tests indicate generally good agreement between the pumped and diffusion samples for concentrations of perchlorate, RDX, and HMX. The concentration differences indicate no systematic bias related to contaminant type or concentration levels.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085109","isbn":"9781411322646","collaboration":"Prepared in cooperation with the U.S. Army Environmental Command","usgsCitation":"LeBlanc, D.R., and Vroblesky, D.A., 2008, Comparison of pumped and diffusion sampling methods to monitor concentrations of perchlorate and explosive compounds in ground water, Camp Edwards, Cape Cod, Massachusetts, 2004-05: U.S. Geological Survey Scientific Investigations Report 2008-5109, vi, 17 p., https://doi.org/10.3133/sir20085109.","productDescription":"vi, 17 p.","temporalStart":"2004-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":195919,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12097,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5109/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.58333333333333,41.666666666666664 ], [ -70.58333333333333,41.75 ], [ -70.5,41.75 ], [ -70.5,41.666666666666664 ], [ -70.58333333333333,41.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db68685a","contributors":{"authors":[{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vroblesky, Don A. vroblesk@usgs.gov","contributorId":413,"corporation":false,"usgs":true,"family":"Vroblesky","given":"Don","email":"vroblesk@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":301077,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97118,"text":"ds69S - 2008 - Geologic assessment of undiscovered, technically recoverable coalbed-gas resources in Cretaceous and Tertiary rocks, North Slope, and adjacent state waters, Alaska","interactions":[],"lastModifiedDate":"2022-06-08T19:17:48.278954","indexId":"ds69S","displayToPublicDate":"2008-12-04T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69","chapter":"S","title":"Geologic assessment of undiscovered, technically recoverable coalbed-gas resources in Cretaceous and Tertiary rocks, North Slope, and adjacent state waters, Alaska","docAbstract":"The purpose of the U.S. Geological Survey's (USGS) National Oil and Gas Assessment is to develop geology-based hypotheses regarding the potential for additions to oil and gas reserves in priority areas of the United States, focusing on the distribution, quantity, and availability of oil and natural gas resources. The USGS has completed an assessment of the undiscovered, technically recoverable coalbed-gas resources in Cretaceous and Tertiary rocks underlying the North Slope and adjacent State waters of Alaska (USGS Northern Alaska Province 5001). The province is a priority Energy Policy and Conservation Act (EPCA) province for the National Assessment because of its potential for oil and gas resources.\r\n\r\nThe assessment of this province is based on geologic principles and uses the total petroleum system concept. The geologic elements of a total petroleum system include hydrocarbon source rocks (source rock maturation, hydrocarbon generation and migration), reservoir rocks (stratigraphy, sedimentology, petrophysical properties), and hydrocarbon traps (trap formation and timing). In the Northern Alaska Province, the USGS used this geologic framework to define one composite coalbed gas total petroleum system and three coalbed gas assessment units within the petroleum system, and quantitatively estimated the undiscovered coalbed-gas resources within each assessment unit.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National assessment of oil and gas projects (Data Series 69)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds69S","usgsCitation":"Roberts, S., 2008, Geologic assessment of undiscovered, technically recoverable coalbed-gas resources in Cretaceous and Tertiary rocks, North Slope, and adjacent state waters, Alaska: U.S. Geological Survey Data Series 69, HTML Document, CD-ROM, https://doi.org/10.3133/ds69S.","productDescription":"HTML Document, CD-ROM","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195577,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12100,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-s/","linkFileType":{"id":5,"text":"html"}},{"id":401940,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98212.htm"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -165.234375,\n 68.00757101804004\n ],\n [\n -142.734375,\n 68.00757101804004\n ],\n [\n -142.734375,\n 71.18775391813158\n ],\n [\n -165.234375,\n 71.18775391813158\n ],\n [\n -165.234375,\n 68.00757101804004\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1fe4b07f02db6ab678","contributors":{"authors":[{"text":"Roberts, Stephen B.","contributorId":84468,"corporation":false,"usgs":true,"family":"Roberts","given":"Stephen B.","affiliations":[],"preferred":false,"id":301085,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97116,"text":"sir20085098 - 2008 - Digital surfaces and thicknesses of selected hydrogeologic units within the Mississippi Embayment Regional Aquifer Study (MERAS)","interactions":[],"lastModifiedDate":"2025-07-17T13:12:17.055626","indexId":"sir20085098","displayToPublicDate":"2008-12-04T00:00:00","publicationYear":"2008","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":"2008-5098","displayTitle":"Digital Surfaces and Thicknesses of Selected Hydrogeologic Units within the Mississippi Embayment Regional Aquifer Study (MERAS)","title":"Digital surfaces and thicknesses of selected hydrogeologic units within the Mississippi Embayment Regional Aquifer Study (MERAS)","docAbstract":"Digital surfaces of selected Tertiary and younger age hydrogeologic units within the Mississippi embayment aquifer system were created using more than 2,600 geophysical logs for an area that covers approximately 70,000 square miles and encompasses parts of eight states. The digital surfaces were developed to define and display the hydrogeologic framework for the Mississippi Embayment Regional Aquifer Study (MERAS). The digital surfaces also provide a foundation of the selected hydrogeologic units for development of a steady-state and transient regional ground-water flow model of the Mississippi embayment aquifer system from the top of the Midway confining unit upwards to land surface. The ground-water flow model is under development as part of the U.S. Geological Survey Ground-Water Resources Program.\r\n\r\nUsing a Geographic Information System, nine digital surfaces of the tops of selected hydrogeologic units were created using the Australian National University Digital Elevation Model method as an interpolation scheme. Thickness maps also were constructed using the Geographic Information System by calculating the difference between the altitude of the interpreted base of an overlying unit and the altitude of the interpreted top of an underlying unit. In general, the highest hydrogeologic unit altitudes are located along the eastern edge of the study area in the outcrop, and the lowest altitudes, in general, are located along the southern edge of the study area along the axis of the embayment. The Mississippi River Valley alluvial aquifer and the lower Claiborne aquifer are the thinnest aquifers of importance in the study area; the thickest aquifer of importance is the middle Claiborne aquifer.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085098","usgsCitation":"Hart, R.M., Clark, B.R., and Bolyard, S., 2008, Digital surfaces and thicknesses of selected hydrogeologic units within the Mississippi Embayment Regional Aquifer Study (MERAS) (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5098, Report: iv, 34 p.; Downloads Directory; Data Release, https://doi.org/10.3133/sir20085098.","productDescription":"Report: iv, 34 p.; Downloads Directory; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":327,"text":"Groundwater Resources Program","active":false,"usgs":true}],"links":[{"id":195080,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":492368,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1VRSZLE","text":"USGS data release","description":"USGS data release","linkHelpText":"Digital surfaces and extents of selected hydrogeologic units within the Mississippi embayment aquifer system"},{"id":12098,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5098/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Mississippi Embayment Regional Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.5,30 ], [ -94.5,38 ], [ -86,38 ], [ -86,30 ], [ -94.5,30 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b45fb","contributors":{"authors":[{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":301079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bolyard, Susan E.","contributorId":47321,"corporation":false,"usgs":true,"family":"Bolyard","given":"Susan E.","affiliations":[],"preferred":false,"id":301081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97114,"text":"sim3051 - 2008 - Bathymetric contour maps for lakes surveyed in Iowa in 2006","interactions":[],"lastModifiedDate":"2024-01-09T20:21:59.715411","indexId":"sim3051","displayToPublicDate":"2008-12-02T00:00:00","publicationYear":"2008","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":"3051","title":"Bathymetric contour maps for lakes surveyed in Iowa in 2006","docAbstract":"The U.S. Geological Survey, in cooperation with the Iowa Department of Natural Resources, conducted bathymetric surveys on two lakes in Iowa during 2006 (Little Storm Lake and Silver Lake). The surveys were conducted to provide the Iowa Department of Natural Resources with information for the development of total maximum daily load limits, particularly for estimating sediment load and deposition rates. The bathymetric surveys can provide a baseline for future work on sediment loads and deposition rates for these lakes. Both of the lakes surveyed in 2006 are natural lakes.\r\n\r\nFor Silver Lake, bathymetric data were collected using boat-mounted, differential global positioning system, echo depth-sounding equipment, and computer software. For Little Storm Lake, because of its shallow nature, bathymetric data were collected using manual depth measurements. Data were processed with commercial hydrographic software and exported into a geographic information system for mapping and calculating area and volume. Lake volumes were estimated to be 7,547,000 cubic feet (173 acre-feet) at Little Storm Lake and 126,724,000 cubic feet (2,910 acre-feet) at Silver Lake. 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Four common hydrologic conditions in stream channels are graphically depicted with the expected underlying streambed thermal responses, and techniques are discussed for installing and monitoring temperature and stage equipment for a range of hydrological environments. These techniques are divided into direct-measurement techniques in streams and streambeds, groundwater techniques relying on traditional observation wells, and remote sensing and other large-scale advanced temperature-acquisition techniques. A review of relevant literature suggests researchers often graphically visualize temperature data to enhance conceptual models of heat and water flow in the near-stream environment and to determine site-specific approaches of data analysis. Common visualizations of stream and streambed temperature patterns include thermographs, temperature envelopes, and one-, two-, and three-dimensional temperature contour plots. Heat and water transport governing equations are presented for the case of transport in streambeds, followed by methods of streambed data analysis, including simple heat-pulse arrival time and heat-loss procedures, analytical and time series solutions, and heat and water transport simulation models. A series of applications of these methods are presented for a variety of stream settings ranging from arid to continental climates. Progressive successes to quantify both streambed fluxes and the spatial extent of streambeds indicate heat-tracing tools help define the streambed as a spatially distinct field (analogous to soil science), rather than simply the lower boundary in stream research or an amorphous zone beneath the stream channel.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2008WR006996","usgsCitation":"Constantz, J., 2008, Heat as a tracer to determine streambed water exchanges: Water Resources Research, v. 46, no. 4, W00D10, 20 p., https://doi.org/10.1029/2008WR006996.","productDescription":"W00D10, 20 p.","costCenters":[],"links":[{"id":476579,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008wr006996","text":"Publisher Index Page"},{"id":241481,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-12-02","publicationStatus":"PW","scienceBaseUri":"505a2fe5e4b0c8380cd5d1ab","contributors":{"authors":[{"text":"Constantz, Jim","contributorId":66338,"corporation":false,"usgs":true,"family":"Constantz","given":"Jim","affiliations":[],"preferred":false,"id":436625,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70200859,"text":"70200859 - 2008 - Surface processes recorded by rocks and soils on Meridiani Planum, Mars: Microscopic Imager observations during Opportunity's first three extended missions","interactions":[],"lastModifiedDate":"2018-12-05T11:43:43","indexId":"70200859","displayToPublicDate":"2008-12-01T12:44:45","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Surface processes recorded by rocks and soils on Meridiani Planum, Mars: Microscopic Imager observations during Opportunity's first three extended missions","docAbstract":"The Microscopic Imager (MI) on the Mars Exploration Rover Opportunity has returned images of Mars with higher resolution than any previous camera system, allowing detailed petrographic and sedimentological studies of the rocks and soils at the Meridiani Planum landing site. Designed to simulate a geologist's hand lens, the MI is mounted on Opportunity's instrument arm and can resolve objects 0.1 mm across or larger. This paper provides an overview of MI operations, data calibration, and analysis of MI data returned during the first 900 sols (Mars days) of the Opportunity landed mission. Analyses of Opportunity MI data have helped to resolve major questions about the origin of observed textures and features. These studies support eolian sediment transport, rather than impact surge processes, as the dominant depositional mechanism for Burns formation strata. MI stereo observations of a rock outcrop near the rim of Erebus Crater support the previous interpretation of similar sedimentary structures in Eagle Crater as being formed by surficial flow of liquid water. Well‐sorted spherules dominate ripple surfaces on the Meridiani plains, and the size of spherules between ripples decreases by about 1 mm from north to south along Opportunity's traverse between Endurance and Erebus craters.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2008JE003100","usgsCitation":"Herkenhoff, K.E., Grotzinger, J., Knoll, A.H., McLennan, S.M., Weitz, C.M., Yingst, A., Anderson, R., Archinal, B.A., Arvidson, R.E., Barrett, J.M., Becker, K.J., Bell, J., Budney, C., Chapman, M.G., Cook, D., Ehlmann, B.L., Franklin, B., Gaddis, L.R., Galuszka, D.M., Garcia, P.A., Geissler, P.E., Hare, T.M., Howington-Kraus, E., Johnson, J.R., Keszthelyi, L., Kirk, R.L., Lanagan, P., Lee, E., Leff, C., Maki, J.N., Mullins, K.F., Parker, T.J., Redding, B.L., Rosiek, M.R., Sims, M.H., Soderblom, L.A., Spanovich, N., Springer, R., Squyres, S.W., Stolper, D.A., Sucharski, R.M., Sucharski, T.L., Sullivan, R., and Torson, J.M., 2008, Surface processes recorded by rocks and soils on Meridiani Planum, Mars: Microscopic Imager observations during Opportunity's first three extended missions: Journal of Geophysical Research E: Planets, v. 113, no. 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mrosiek@usgs.gov","contributorId":824,"corporation":false,"usgs":true,"family":"Rosiek","given":"Mark","email":"mrosiek@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":750938,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Sims, Michael H.","contributorId":210519,"corporation":false,"usgs":false,"family":"Sims","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":750939,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Soderblom, Laurence A. 0000-0002-0917-853X lsoderblom@usgs.gov","orcid":"https://orcid.org/0000-0002-0917-853X","contributorId":2721,"corporation":false,"usgs":true,"family":"Soderblom","given":"Laurence","email":"lsoderblom@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":750940,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Spanovich, Nicole","contributorId":210520,"corporation":false,"usgs":false,"family":"Spanovich","given":"Nicole","email":"","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":750941,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Springer, Richard","contributorId":210521,"corporation":false,"usgs":false,"family":"Springer","given":"Richard","email":"","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":750942,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Squyres, Steven 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tsucharski@usgs.gov","contributorId":4586,"corporation":false,"usgs":true,"family":"Sucharski","given":"Tracie","email":"tsucharski@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":750946,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Sullivan, Robert","contributorId":70102,"corporation":false,"usgs":true,"family":"Sullivan","given":"Robert","affiliations":[],"preferred":false,"id":750947,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Torson, James M.","contributorId":210522,"corporation":false,"usgs":false,"family":"Torson","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":750948,"contributorType":{"id":1,"text":"Authors"},"rank":44}]}} ,{"id":70148181,"text":"70148181 - 2008 - Effects of landscape gradients on wetland vegetation communities: information for large-scale restoration","interactions":[],"lastModifiedDate":"2015-05-26T10:42:18","indexId":"70148181","displayToPublicDate":"2008-12-01T11:45:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Effects of landscape gradients on wetland vegetation communities: information for large-scale restoration","docAbstract":"Projects of the scope of the restoration of the Florida Everglades require substantial information regarding ecological mechanisms, and these are often poorly understood. We provide critical base knowledge for Everglades restoration by characterizing the existing vegetation communities of an Everglades remnant, describing how present and historic hydrology affect wetland vegetation community composition, and documenting change from communities described in previous studies. Vegetation biomass samples were collected along transects across Water Conservation Area 3A South (3AS). Ten community types were present between November 2002 and 2005. Separate analyses for key a priori groups (slough, wet prairie, and sawgrass) provided detailed conclusions about effects of historic hydrology on the vegetation of 3AS. Communities were affected by hydrologic variables LIP to four years previous to the sample. We identified wet prairie/slough species such as Eleocharis spp. and Nymphaea odorata as short-term sentinel species of community change. Sawgrass and N. odorata should be monitored for long-term change. Comparisons to preceding studies indicated that many of the communities of previous times, when conditions were drier, no longer exist in our study area and have been replaced by deeper water community types.
","language":"English","publisher":"Society of Wetland Scientists","publisherLocation":"McClean, VA","doi":"10.1672/08-96.1","collaboration":"U.S. Corps of Engineers, USGS Florida Cooperative Fish & Wildlife Unit","usgsCitation":"Zweig, C.L., and Kitchens, W.M., 2008, Effects of landscape gradients on wetland vegetation communities: information for large-scale restoration: Wetlands, v. 28, no. 4, p. 1086-1096, https://doi.org/10.1672/08-96.1.","productDescription":"11 p.","startPage":"1086","endPage":"1096","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010322","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55659941e4b0d9246a9eb61f","contributors":{"authors":[{"text":"Zweig, Christa L.","contributorId":99767,"corporation":false,"usgs":true,"family":"Zweig","given":"Christa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":547599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kitchens, Wiley M. kitchensw@usgs.gov","contributorId":2851,"corporation":false,"usgs":true,"family":"Kitchens","given":"Wiley","email":"kitchensw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":547541,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70236410,"text":"70236410 - 2008 - High-resolution seismic images and seismic velocities of the San Andreas fault zone at Burro Flats, Southern California","interactions":[],"lastModifiedDate":"2022-09-06T15:39:31.774931","indexId":"70236410","displayToPublicDate":"2008-12-01T10:29:36","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution seismic images and seismic velocities of the San Andreas fault zone at Burro Flats, Southern California","docAbstract":"To better understand the structure of the San Andreas fault (SAF) at Burro Flats in southern California, we acquired a three-dimensional combined set of seismic reflection and refraction profiles centered on the main active trace at Burro Flats. In this article, we discuss the variation in shallow-depth velocities along each seismic profile, with special emphasis on the 1500 m/sec P-wave velocity contour, which can be an indicator of shallow-depth water-saturated unconsolidated sediments. Along the four seismic profiles, minimum depths of the groundwater table, as inferred from 1500 m/sec velocity contour, range from 10 to about 20 m. The largest variations in depth to the top of the groundwater table occur in areas near mapped faults, suggesting that the groundwater flow in Burro Flats is strongly affected by the locations of fault traces. We also used the seismic data to develop seismic reflection images that show multiple strands of the SAF in the upper 60 m. Reflectors above the 10 m depth probably correspond to Holocene alluvial deposits; reflectors below the 15 m depth probably arise from velocity or density variations within the Precambrian gneiss complex, likely due to weathering. Apparent vertical offsets of reflectors are observed along profiles (lines 1 and 2) that are normal to the SAF, indicating minor apparent vertical offsets on the SAF at shallow depths. Along line 2, the apparently vertically offset reflectors correlate with zones of relatively low P-wave velocity. Along the central part of lines 1 and 2, the faults form a flower structure, which is typical of strike-slip faults such as the SAF.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120060252","usgsCitation":"Tsai, C.C., Catchings, R.D., Goldman, M.R., Rymer, M.J., Schnurle, P., and Chen, H.W., 2008, High-resolution seismic images and seismic velocities of the San Andreas fault zone at Burro Flats, Southern California: Bulletin of the Seismological Society of America, v. 98, no. 6, p. 2948-2961, https://doi.org/10.1785/0120060252.","productDescription":"14 p.","startPage":"2948","endPage":"2961","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":406234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Andreas fault zone at Burro Flats","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.25,\n 33.75\n ],\n [\n -116.255,\n 33.75\n ],\n [\n -116.255,\n 34.25\n ],\n [\n -117.25,\n 34.25\n ],\n [\n -117.25,\n 33.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"98","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tsai, C. C.","contributorId":296227,"corporation":false,"usgs":false,"family":"Tsai","given":"C.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":850916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":850917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldman, Mark R. 0000-0002-0802-829X goldman@usgs.gov","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":1521,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","email":"goldman@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":850918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rymer, Michael J. mrymer@usgs.gov","contributorId":1522,"corporation":false,"usgs":true,"family":"Rymer","given":"Michael","email":"mrymer@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":850924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schnurle, P.","contributorId":296228,"corporation":false,"usgs":false,"family":"Schnurle","given":"P.","email":"","affiliations":[],"preferred":false,"id":850925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, H. W.","contributorId":296229,"corporation":false,"usgs":false,"family":"Chen","given":"H.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":850926,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70209631,"text":"70209631 - 2008 - Stratigraphic models for deep-water sedimentary systems","interactions":[],"lastModifiedDate":"2020-04-16T16:38:51.742153","indexId":"70209631","displayToPublicDate":"2008-12-01T09:53:14","publicationYear":"2008","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Stratigraphic models for deep-water sedimentary systems","docAbstract":"Stratigraphic models predict sedimentary architecture. Prediction requires understanding systems across a sufficient range of scales. To be predictive a model must address the interaction of multiple process-response relationships. For deep-water systems these processes include (1) subaqueous flow initiation and transformation, (2) linkages between channel, levee and lobe processes, and (3) shelf-to-basin profile evolution. Thickness, lithology and the geomorphic hierarchy of sedimentary bodies are responses that can be used to define phases in deep-water episodes recording both external (allogenic) and internal (autogenic) controls.
Shelf-to-basin studies of the Middle Permian Brushy Canyon Formation demonstrate that the more complete basinal record correlates to an incomplete shelf record; this incongruity impacts recognition of allogenic forcing. Preserving the signature of external controls, internal changes in local gradient and topography also impact the deep-water record requiring complete basin analysis. Independent but nested autogenic and allogenic stratigraphic models address these challenges and predict patterns of deep-water sedimentation.
Tectonics and climate modulate sediment supply and sea level, which are considered the principal allogenic controls on deep-water sedimentation as described by the phases of the AIGR (Adjustment-Initiation-Growth-Retreat) model. The complete AIGR cycle commences with the Adjustment (A) phase, which defines the initial profile gradient and topography. The Initiation (I), Growth (G), and Retreat (R) phases describe variations in sedimentary response.
Autogenic controls on deep-water sedimentation include (1) lateral offset and compensational stacking of lobes, (2) channel migration, switching and avulsion, and (3) longitudinal translation of the channel-lobe transition zone. The BCFS (Build-Cut-Fill-Spill) model describes autogenic controls on local gradient and confinement based on a hierarchy of channel-fill, channel-flank, and lobe sedimentary bodies, which vary in proportion and arrangement in each phase.
The sedimentation phases of the AIGR and BCFS models describe the systematic increase and decrease in sedimentation energy recorded in hierarchical stratigraphy. When linked to gradient, the models form the axes of a sedimentary system energy matrix (SSEM) for sedimentary architecture. The BCFS model for submarine channels is embedded within the AIGR basin model and, together they facilitate the correlation of a hierarchy of internally and externally generated stratigraphic cycles.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Answering the challenges of production from deep-water reservoirs: Analogues and case histories to aid a new generatio","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"SEPM Society for Sedimentary Geology","doi":"10.5724/gcs.08.28.0077","usgsCitation":"Gardner, M.H., Borer, J.M., Romans, B.W., Baptista, N., Kling, E.K., Hanggoro, D., Melick, J.J., Wagerle, R.M., Dechesne, M., Carr, M.M., Amerman, R., and Atan, S., 2008, Stratigraphic models for deep-water sedimentary systems, chap. of Answering the challenges of production from deep-water reservoirs: Analogues and case histories to aid a new generatio, p. 77-175, https://doi.org/10.5724/gcs.08.28.0077.","productDescription":"99 p.","startPage":"77","endPage":"175","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":374059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gardner, Michael H.","contributorId":224186,"corporation":false,"usgs":false,"family":"Gardner","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":787279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borer, James M.","contributorId":224187,"corporation":false,"usgs":false,"family":"Borer","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":787280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romans, Brian W.","contributorId":40426,"corporation":false,"usgs":true,"family":"Romans","given":"Brian","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":787281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baptista, Noelia","contributorId":224188,"corporation":false,"usgs":false,"family":"Baptista","given":"Noelia","email":"","affiliations":[],"preferred":false,"id":787282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kling, Erik K.","contributorId":224189,"corporation":false,"usgs":false,"family":"Kling","given":"Erik","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":787283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanggoro, Diah","contributorId":224190,"corporation":false,"usgs":false,"family":"Hanggoro","given":"Diah","email":"","affiliations":[],"preferred":false,"id":787284,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Melick, Jesse J.","contributorId":224191,"corporation":false,"usgs":false,"family":"Melick","given":"Jesse","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":787285,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagerle, Roger M.","contributorId":224192,"corporation":false,"usgs":false,"family":"Wagerle","given":"Roger","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":787286,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dechesne, Marieke 0000-0002-4468-7495 mdechesne@usgs.gov","orcid":"https://orcid.org/0000-0002-4468-7495","contributorId":5036,"corporation":false,"usgs":true,"family":"Dechesne","given":"Marieke","email":"mdechesne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":787287,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Carr, Mary M.","contributorId":224193,"corporation":false,"usgs":false,"family":"Carr","given":"Mary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":787288,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Amerman, Robert","contributorId":224195,"corporation":false,"usgs":false,"family":"Amerman","given":"Robert","email":"","affiliations":[],"preferred":false,"id":787289,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Atan, Safian","contributorId":224194,"corporation":false,"usgs":false,"family":"Atan","given":"Safian","email":"","affiliations":[],"preferred":false,"id":787290,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70179559,"text":"70179559 - 2008 - Breeding phenology and reproductive success of the Brandt's Cormorant at three nearshore colonies in central California, 1997-2001","interactions":[],"lastModifiedDate":"2017-01-04T13:38:45","indexId":"70179559","displayToPublicDate":"2008-12-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Breeding phenology and reproductive success of the Brandt's Cormorant at three nearshore colonies in central California, 1997-2001","docAbstract":"Brandt's Cormorant (Phalacrocorax penicillatus) breeding effort, phenology and success were studied in 1997-2001 at three colonies spanning approximately 200 km of the central California coast: Point Reyes (PR); Devil's Slide Rock and Mainland (DS); and Castle-Hurricane Colony Complex (CH). Breeding effort was reduced at all three colonies in the 1998 El Niño event. Mean clutch initiation dates differed significantly among colonies, with cormorants at the southernmost colony (CH) laying earliest, and those at the northernmost colony (PR) laying latest. Productivity at individual colonies varied greatly among years (range 0.7-2.5 fledglings per pair). Overall colony means were lowest (1.6 fledglings/pair) during the 1998 El Niño event and highest (2.5 fledglings/pair) in the 1999 La Niña event. Productivity at CH (1.7 fledglings/pair) was significantly lower than at PR (2.2 fledglings/pair), and interannual variation was greatest at CH. Late-nesting birds laid fewer eggs, hatched fewer chicks, and fledged fewer chicks per pair than early-nesters. The rapid rate of growth at some nearshore colonies in central California suggests immigration from elsewhere, most likely the large offshore colony at the South Farallon Islands. Variation in timing of breeding and reproductive success among colonies demonstrates a value in maintaining multiple study locations when assessing Brandt's Cormorant population parameters in the California Current System.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/1524-4695-31.4.505","usgsCitation":"Jones, N.M., McChesney, G., Parker, M.W., Yee, J.L., Carter, H., and Golightly, R.T., 2008, Breeding phenology and reproductive success of the Brandt's Cormorant at three nearshore colonies in central California, 1997-2001: Waterbirds, v. 31, no. 4, p. 505-519, https://doi.org/10.1675/1524-4695-31.4.505.","productDescription":"15 p.","startPage":"505","endPage":"519","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":332887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-12-01","publicationStatus":"PW","scienceBaseUri":"586e182ce4b0f5ce109fcb09","contributors":{"authors":[{"text":"Jones, Nathan M.","contributorId":177996,"corporation":false,"usgs":false,"family":"Jones","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":657732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McChesney, Gerard","contributorId":171755,"corporation":false,"usgs":false,"family":"McChesney","given":"Gerard","affiliations":[{"id":26942,"text":"Humboldt State University; U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":657733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Michael W.","contributorId":24297,"corporation":false,"usgs":true,"family":"Parker","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":657734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":657735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carter, Harry R.","contributorId":79546,"corporation":false,"usgs":true,"family":"Carter","given":"Harry R.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":657736,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Golightly, Richard T.","contributorId":56783,"corporation":false,"usgs":false,"family":"Golightly","given":"Richard","email":"","middleInitial":"T.","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":657737,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70156104,"text":"70156104 - 2008 - Coast salish and U.S. Geological Survey: Tribal journey water quality project","interactions":[],"lastModifiedDate":"2016-09-09T14:51:56","indexId":"70156104","displayToPublicDate":"2008-12-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Coast salish and U.S. Geological Survey: Tribal journey water quality project","docAbstract":"The ancestral waters of the Coast Salish People, the Salish Sea, comprise a large inland sea contained within both United States (Puget Sound) and Canadian (Georgia Strait) territory. The Salish Sea is home to more than 220 species of fish, 29 species of marine mammals, more than 40 species of commercial and recreationally harvested invertebrates, and numerous resident and migratory bird species (Washington Sea Grant Program, 2000). Unfortunately, at least 60 of these marine based species are listed as threatened, endangered or of concern (Fraser and others, 2006), many of which sustained Coast Salish for millennia and are of essential cultural importance.\nThe cumulative impacts of human activities and climate change are deteriorating coastal ecosystems and accelerating the loss of ecologically and culturally important marine resources. Watershed modifications, coastal development and industrial activities are altering river and tidal flow, sediment transport, and nutrient delivery all across the region, leading to the break down of ecosystem functions and decreasing biodiversity, thus changing the face of the Salish Sea. A cooperative trans-boundary partnership between the U.S. Environmental Protection Agency (USEPA) and the Government of Canada has identified Salish Sea indicators of health. Several of these indicators have been noted as having degrading quality including urbanization and forest change, river, stream, and lake quality, marine species at risk, toxics in harbor seals, and marine water quality conditions (USEPA, 2008). The functioning of the Salish Sea ecosystem is increasingly threatened by ever more frequent observations and expanding zones of anoxia. The complexities of monitoring, protecting, and restoring such a large and diverse geographical area are exacerbated by a political border.\nThe Coast Salish Peoples and U.S. Geological Survey (USGS) have commenced on a partnership to examine water quality throughout the Georgia Straits and Puget Sound, blending tradition and science, in response to this deterioration of coastal environments and loss of essential habitats and marine resources of cultural and ecological importance throughout the ancestral waters of the Salish Sea. This report describes the Coast Salish Tribal Journey Water Quality Project, its inception, the results of the 2008 Tribal Journey project, lessons learned, and recommendations for future directions.","language":"English","publisher":"U.S Geological Survey ","usgsCitation":"Akin, S.K., Grossman, E., Lekanof, D., and O’Hara, C.J., 2008, Coast salish and U.S. Geological Survey: Tribal journey water quality project, 58 p. .","productDescription":"58 p. ","startPage":"1","endPage":"57","ipdsId":"IP-012862","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":328460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":306591,"type":{"id":15,"text":"Index Page"},"url":"https://walrus.wr.usgs.gov/reports/reprints/TJWQP.pdf"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.255126953125,\n 49.97242235423708\n ],\n [\n -124.68383789062499,\n 49.396675075193976\n ],\n [\n -124.07958984375001,\n 49.23194729854554\n ],\n [\n -123.760986328125,\n 48.96579381461063\n ],\n [\n -123.34350585937499,\n 48.531157010976706\n ],\n [\n -122.40966796874999,\n 48.3416461723746\n ],\n [\n -122.464599609375,\n 48.545705491847464\n ],\n [\n -125.20019531249999,\n 50.05713877598692\n ],\n [\n -125.255126953125,\n 49.97242235423708\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.4423828125,\n 48.085418575511994\n ],\n [\n -123.0908203125,\n 48.085418575511994\n ],\n [\n -122.59643554687499,\n 47.96050238891509\n ],\n [\n -122.80517578125,\n 47.746711194756\n ],\n [\n -123.101806640625,\n 47.49493650511712\n ],\n [\n -123.07983398437499,\n 47.31648293428332\n ],\n [\n -122.92602539062501,\n 47.06263847995432\n ],\n [\n -122.44262695312501,\n 47.26432008025478\n ],\n [\n -122.4755859375,\n 47.91634204016118\n ],\n [\n -122.73925781250001,\n 48.1367666796927\n ],\n [\n -123.255615234375,\n 48.188063481211415\n ],\n [\n -123.475341796875,\n 48.180738507303836\n ],\n [\n -123.4423828125,\n 48.085418575511994\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.167724609375,\n 49.33944093715546\n ],\n [\n -122.06909179687501,\n 49.224772722794825\n ],\n [\n -121.387939453125,\n 49.48240137826932\n ],\n [\n -121.35498046875,\n 49.296471602658094\n ],\n [\n -122.574462890625,\n 49.081062364320736\n ],\n [\n -123.167724609375,\n 49.25346477497736\n ],\n [\n -123.167724609375,\n 49.33944093715546\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd31e4b0571647d19a40","contributors":{"authors":[{"text":"Akin, Sarah K.","contributorId":55132,"corporation":false,"usgs":true,"family":"Akin","given":"Sarah","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":567876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":140908,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","email":"egrossman@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":567873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lekanof, Debra","contributorId":146438,"corporation":false,"usgs":false,"family":"Lekanof","given":"Debra","email":"","affiliations":[{"id":16690,"text":"Swinomish Indian Tribal Community","active":true,"usgs":false}],"preferred":false,"id":567875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Hara, Charles J.","contributorId":11228,"corporation":false,"usgs":true,"family":"O’Hara","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":567874,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156754,"text":"70156754 - 2008 - The Importance of Uncertainty and Sensitivity Analysis in Process-based Models of Carbon and Nitrogen Cycling in Terrestrial Ecosystems with Particular Emphasis on Forest Ecosystems — Selected Papers from a Workshop Organized by the International Society for Ecological Modelling (ISEM) at the Third Biennal Meeting of the International Environmental Modelling and Software Society (IEMSS) in Burlington, Vermont, USA, August 9-13, 2006","interactions":[],"lastModifiedDate":"2015-08-27T12:40:04","indexId":"70156754","displayToPublicDate":"2008-12-01T00:00:00","publicationYear":"2008","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":"The Importance of Uncertainty and Sensitivity Analysis in Process-based Models of Carbon and Nitrogen Cycling in Terrestrial Ecosystems with Particular Emphasis on Forest Ecosystems — Selected Papers from a Workshop Organized by the International Society for Ecological Modelling (ISEM) at the Third Biennal Meeting of the International Environmental Modelling and Software Society (IEMSS) in Burlington, Vermont, USA, August 9-13, 2006","docAbstract":"Many process-based models of carbon (C) and nitrogen (N) cycles have been developed for terrestrial ecosystems, including forest ecosystems. They address many basic issues of ecosystems structure and functioning, such as the role of internal feedback in ecosystem dynamics. The critical factor in these phenomena is scale, as these processes operate at scales from the minute (e.g. particulate pollution impacts on trees and other organisms) to the global (e.g. climate change). Research efforts remain important to improve the capability of such models to better represent the dynamics of terrestrial ecosystems, including the C, nutrient, (e.g. N) and water cycles. Existing models are sufficiently well advanced to help decision makers develop sustainable management policies and planning of terrestrial ecosystems, as they make realistic predictions when used appropriately. However, decision makers must be aware of their limitations by having the opportunity to evaluate the uncertainty associated with process-based models (Smith and Heath, 2001 and Allen et al., 2004). The variation in scale of issues currently being addressed by modelling efforts makes the evaluation of uncertainty a daunting task.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2008.07.010","usgsCitation":"Larocque, G.R., Bhatti, J.S., Liu, J., Ascough, J.C., and Gordon, A.M., 2008, The Importance of Uncertainty and Sensitivity Analysis in Process-based Models of Carbon and Nitrogen Cycling in Terrestrial Ecosystems with Particular Emphasis on Forest Ecosystems — Selected Papers from a Workshop Organized by the International Society for Ecological Modelling (ISEM) at the Third Biennal Meeting of the International Environmental Modelling and Software Society (IEMSS) in Burlington, Vermont, USA, August 9-13, 2006: Ecological Modelling, v. 219, no. 3-4, p. 261-263, https://doi.org/10.1016/j.ecolmodel.2008.07.010.","productDescription":"3 p.","startPage":"261","endPage":"263","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"219","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e034c3e4b0f42e3d040e4c","contributors":{"authors":[{"text":"Larocque, Guy R.","contributorId":68139,"corporation":false,"usgs":true,"family":"Larocque","given":"Guy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":570371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bhatti, Jagtar S.","contributorId":12720,"corporation":false,"usgs":true,"family":"Bhatti","given":"Jagtar","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":570372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":570373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ascough, James C. II","contributorId":68678,"corporation":false,"usgs":true,"family":"Ascough","given":"James","suffix":"II","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":570374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gordon, Andrew M.","contributorId":9093,"corporation":false,"usgs":true,"family":"Gordon","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":570375,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042390,"text":"70042390 - 2008 - Rapid response of a hydrologic system to volcanic activity: Masaya volcano, Nicaragua","interactions":[],"lastModifiedDate":"2019-03-28T10:43:01","indexId":"70042390","displayToPublicDate":"2008-12-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Rapid response of a hydrologic system to volcanic activity: Masaya volcano, Nicaragua","docAbstract":"Hydrologic systems change in response to volcanic activity, and in turn may be sensitive indicators of volcanic activity. Here we investigate the coupled nature of magmatic and hydrologic systems using continuous multichannel time series of soil temperature collected on the flanks of Masaya volcano, Nicaragua, one of the most active volcanoes in Central America. The soil temperatures were measured in a low-temperature fumarole field located 3.5 km down the flanks of the volcano. Analysis of these time series reveals that they respond extremely rapidly, on a time scale of minutes, to changes in volcanic activity also manifested at the summit vent. These rapid temperature changes are caused by increased flow of water vapor through flank fumaroles during volcanism. The soil temperature response, ~5 °C, is repetitive and complex, with as many as 13 pulses during a single volcanic episode. Analysis of the frequency spectrum of these temperature time series shows that these anomalies are characterized by broad frequency content during volcanic activity. They are thus easily distinguished from seasonal trends, diurnal variations, or individual rainfall events, which triggered rapid transient increases in temperature during 5% of events. We suggest that the mechanism responsible for the distinctive temperature signals is rapid change in pore pressure in response to magmatism, a response that can be enhanced by meteoric water infiltration. Monitoring of distal fumaroles can therefore provide insight into coupled volcanic-hydrologic-meteorologic systems, and has potential as an inexpensive monitoring tool.","language":"English","publisher":"The Geological Society of America","doi":"10.1130/G25210A.1","usgsCitation":"Pearson, S., Connor, C., and Sanford, W., 2008, Rapid response of a hydrologic system to volcanic activity: Masaya volcano, Nicaragua: Geology, v. 36, no. 12, p. 951-954, https://doi.org/10.1130/G25210A.1.","productDescription":"4 p.","startPage":"951","endPage":"954","numberOfPages":"4","ipdsId":"IP-004325","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":273440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273438,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G25210A.1"}],"country":"Nicaragua","otherGeospatial":"Masaya Volcano","volume":"36","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e6e4b01368e589e3ee","contributors":{"authors":[{"text":"Pearson, S.C.P.","contributorId":58535,"corporation":false,"usgs":true,"family":"Pearson","given":"S.C.P.","email":"","affiliations":[],"preferred":false,"id":471452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, C.B.","contributorId":41653,"corporation":false,"usgs":true,"family":"Connor","given":"C.B.","email":"","affiliations":[],"preferred":false,"id":471451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanford, W. E. 0000-0002-6624-0280","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":102112,"corporation":false,"usgs":true,"family":"Sanford","given":"W. E.","affiliations":[],"preferred":false,"id":471453,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97104,"text":"sir20085177 - 2008 - Degree of contamination and sources of polychlorinated biphenyls in Meandering Road Creek and Woods Inlet of Lake Worth, Fort Worth, Texas, 2004 and 2006-07","interactions":[],"lastModifiedDate":"2024-01-11T21:14:35.735554","indexId":"sir20085177","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"2008-5177","title":"Degree of contamination and sources of polychlorinated biphenyls in Meandering Road Creek and Woods Inlet of Lake Worth, Fort Worth, Texas, 2004 and 2006-07","docAbstract":"Lake Worth is a reservoir on the West Fork Trinity River on the western edge of Fort Worth, Texas. Air Force Plant 4 (AFP4) is on the eastern shore of Woods Inlet, an arm of Lake Worth that extends south from the main body of the lake. Two previous reports documented elevated polychlorinated biphenyl (PCB) concentrations in surficial sediment in Woods Inlet relative to those in surficial sediment in other parts of Lake Worth. This report presents the results of another USGS study, done in cooperation with the U.S. Air Force, to indicate the degree of PCB contamination of Meandering Road Creek and Woods Inlet and to identify possible sources of PCBs in Meandering Road Creek and Woods Inlet on the basis of suspended, streambed, and lake-bottom sediment samples collected there in 2004 and 2006–07. About 40 to 80 percent of total PCB concentrations (depending on how total PCB concentration is computed) in suspended sediment exceed the threshold effect concentration, a concentration below which adverse effects to benthic biota rarely occur. About 20 percent of total PCB concentrations (computed as sum of three Aroclors) in suspended sediment exceed the probable effect concentration, a concentration above which adverse effects to benthic biota are expected to occur frequently. About 20 to 30 percent of total PCB concentrations in streambed sediment exceed the threshold effect concentration; and about 6 to 20 percent of total PCB concentrations in lake-bottom (Woods Inlet) sediment exceed the threshold effect concentration. No streambed or lake-bottom sediment concentrations exceed the probable effect concentration. The sources of PCBs to Meandering Road Creek and Woods Inlet were investigated by comparing the relative distributions of PCB congeners of suspended sediment to those of streambed and lake-bottom sediment. The sources of PCBs were identified using graphical analysis of normalized concentrations (congener ratios) of 11 congeners. For graphical analysis, the sampling sites were divided into three groups with each group associated with one of the three outfalls sampled: SSO, OF4, and OF5. The variations of normalized PCB congener concentrations from Woods Inlet, from outfalls along Meandering Road Creek, and from streambed sediment sampling sites along Meandering Road Creek generally form similar patterns within sample groups, which is indicative of a common source of PCBs to each group. Overall, the variations in congener ratios indicate that PCBs in surficial lake-bottom sediment of Woods Inlet probably entered Woods Inlet primarily from Meandering Road Creek, and that runoff from AFP4 is a prominent source of PCBs in Meandering Road Creek. Sixteen of the 20 box core sites in Woods Inlet had lower PCB concentrations in the 2006 cores compared to those in the 2003 cores.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085177","collaboration":"Prepared in cooperation with the U.S. Air Force","usgsCitation":"Braun, C.L., Wilson, J.T., and Van Metre, P., 2008, Degree of contamination and sources of polychlorinated biphenyls in Meandering Road Creek and Woods Inlet of Lake Worth, Fort Worth, Texas, 2004 and 2006-07 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5177, iv, 65 p., https://doi.org/10.3133/sir20085177.","productDescription":"iv, 65 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":424350,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_85381.htm","linkFileType":{"id":5,"text":"html"}},{"id":327657,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2008/5177/pdf/sir2008-5177.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":124861,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5177.jpg"},{"id":12085,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5177/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","city":"Fort Worth","otherGeospatial":"Lake Worth, Meandering Road Creek, Woods Inlet","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.46666666666667,32.75 ], [ -97.46666666666667,32.8 ], [ -97.4,32.8 ], [ -97.4,32.75 ], [ -97.46666666666667,32.75 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672379","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Jennifer T. 0000-0003-4481-6354 jenwilso@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-6354","contributorId":1782,"corporation":false,"usgs":true,"family":"Wilson","given":"Jennifer","email":"jenwilso@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Metre, Peter C.","contributorId":34104,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","affiliations":[],"preferred":false,"id":301048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97109,"text":"ofr20081354 - 2008 - Technical Review of Water-Resources Investigations of the Tule Desert, Lincoln County, Southern Nevada","interactions":[],"lastModifiedDate":"2012-02-10T00:11:55","indexId":"ofr20081354","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"2008-1354","title":"Technical Review of Water-Resources Investigations of the Tule Desert, Lincoln County, Southern Nevada","docAbstract":"The Nevada State Engineer in Ruling No. 5181 required Lincoln County and Vidler Water Company, Inc., to provide results from additional water-resources studies of Tule Desert in southern Nevada to support water-rights application 64692. As outlined by the ruling, the additional studies were to include the determination of the amount of ground water available from the Tule Desert basin, ground-water recharge to the Tule Desert, and the direction of ground-water flow. Results of these additional studies were published in five reports prepared for Lincoln County and Vidler Water Company, Inc. The National Park Service formally requested that the U.S. Geological Survey provide technical reviews of these five reports.\r\n\r\nThe Nevada State Engineer in Ruling No. 5181 required Lincoln County and Vidler Water Company, Inc., to provide results from additional water-resources studies of Tule Desert in southern Nevada to support water-rights application 64692. As outlined by the ruling, the additional studies were to include the determination of the amount of ground water available from the Tule Desert basin, ground-water recharge to the Tule Desert, and the direction of ground-water flow. Results of these additional studies were published in five reports prepared for Lincoln County and Vidler Water Company, Inc. The National Park Service formally requested that the U.S. Geological Survey provide technical reviews of these five reports.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081354","collaboration":"Prepared in cooperation with the Nevada Department of Conservation and Natural Resources and \r\nNational Park Service","usgsCitation":"Berger, D.L., Halford, K.J., Belcher, W., and Lico, M.S., 2008, Technical Review of Water-Resources Investigations of the Tule Desert, Lincoln County, Southern Nevada: U.S. Geological Survey Open-File Report 2008-1354, v, 19 p., https://doi.org/10.3133/ofr20081354.","productDescription":"v, 19 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":196465,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12091,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1354/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115,36.5 ], [ -115,37.75 ], [ -113.75,37.75 ], [ -113.75,36.5 ], [ -115,36.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db6864a3","contributors":{"authors":[{"text":"Berger, David L. dlberger@usgs.gov","contributorId":1861,"corporation":false,"usgs":true,"family":"Berger","given":"David","email":"dlberger@usgs.gov","middleInitial":"L.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":301067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belcher, Wayne R.","contributorId":79446,"corporation":false,"usgs":true,"family":"Belcher","given":"Wayne R.","affiliations":[],"preferred":false,"id":301069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lico, Michael S.","contributorId":75897,"corporation":false,"usgs":true,"family":"Lico","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":301068,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97096,"text":"ds358 - 2008 - Surface-Water Exchange through Culverts beneath State Road 9336 within Everglades National Park, 2004-05","interactions":[],"lastModifiedDate":"2012-02-10T00:11:50","indexId":"ds358","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"358","title":"Surface-Water Exchange through Culverts beneath State Road 9336 within Everglades National Park, 2004-05","docAbstract":"The U.S. Geological Survey collected hydrologic data between June 2004 and December 2005 to investigate the temporal and spatial nature of flow exchanges through culverts beneath State Road 9336 within Everglades National Park. Continuous data collected during the study measured flow velocity, water level, salinity, conductivity, and water-temperature in or near seven culverts between Pa-hay-okee Overlook access road and Nine Mile Pond. The two culverts east of Pa-hay-okee Overlook access road flowed into Taylor Slough Basin from 87 to 96 percent of the study period, whereas flows through five culverts between Pa-hay-okee Overlook access road and Nine Mile Pond flowed into Shark River Slough Basin from 70 to 99 percent of the study period. Synoptic flow discharges measured at all culverts during three intensive field efforts revealed a net discharge into Taylor Slough Basin from Shark River Slough Basin through culverts between Royal Palm Road and Pa-hay-okee Overlook access road, and into Shark River Slough Basin from Taylor Slough Basin through culverts between Pa-hay-okee Overlook access road and Nine Mile Pond. Data collected during the study and presented in this report provided additional knowledge of the magnitude, direction, and nature of flow exchanges through the road culverts.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds358","collaboration":"Prepared as part of the USGS Greater Everglades Priority Ecosystem Sciences and the National Research Programs; Prepared in cooperation with the South Florida Water Management District and the Everglades National Park","usgsCitation":"Schaffranek, R.W., Stewart, M.A., and Nowacki, D.J., 2008, Surface-Water Exchange through Culverts beneath State Road 9336 within Everglades National Park, 2004-05: U.S. Geological Survey Data Series 358, Report: vi, 21 p.; Appendix Files, https://doi.org/10.3133/ds358.","productDescription":"Report: vi, 21 p.; Appendix Files","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2004-06-01","temporalEnd":"2005-12-31","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":194986,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12077,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/358/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,25.083333333333332 ], [ -81,25.583333333333332 ], [ -80.5,25.583333333333332 ], [ -80.5,25.083333333333332 ], [ -81,25.083333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae6e4b07f02db68b426","contributors":{"authors":[{"text":"Schaffranek, Raymond W.","contributorId":86314,"corporation":false,"usgs":true,"family":"Schaffranek","given":"Raymond","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":301036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, Marc A. 0000-0003-1140-6316 mastewar@usgs.gov","orcid":"https://orcid.org/0000-0003-1140-6316","contributorId":2277,"corporation":false,"usgs":true,"family":"Stewart","given":"Marc","email":"mastewar@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":301034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nowacki, Daniel J. 0000-0002-7015-3710 dnowacki@usgs.gov","orcid":"https://orcid.org/0000-0002-7015-3710","contributorId":69257,"corporation":false,"usgs":true,"family":"Nowacki","given":"Daniel","email":"dnowacki@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":false,"id":301035,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97108,"text":"ofr20081341 - 2008 - Comparison of two cell lysis procedures for recovery of microcystins in water samples from silver lake in Dover, Delaware, with microcystin producing cyanobacterial accumulations","interactions":[],"lastModifiedDate":"2019-09-18T16:07:12","indexId":"ofr20081341","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"2008-1341","title":"Comparison of two cell lysis procedures for recovery of microcystins in water samples from silver lake in Dover, Delaware, with microcystin producing cyanobacterial accumulations","docAbstract":"A collaboration was developed between Abraxis, LLC, the State of Delaware Department of Natural Resources and Environmental Control Division of Water Resources Environmental Laboratory, the University of Delaware, and the United States Geological Survey to investigate the efficacy of the QuikLyse procedure developed by Abraxis, LLC as an alternative cell-lysis technique suitable for use with an existing liquid chromatography/tandem mass spectrometry research method developed at the United States Geological Survey Organic Geochemistry Research Laboratory to analyze cyanotoxins. A comparison of three sequential freeze/thaw cycles versus QuikLyse, a proprietary chemical lysis procedure was conducted on four water samples collected from Silver Lake in Dover, Delaware. Results from the Abraxis Microcystins-DM enzyme-linked immunosorbent assay and liquid chromatography/tandem mass spectrometry were tabulated as a function of the cell lysis technique. Stastical comparison of percent relative standard deviations showed no significant difference (alpha = 0.05) between both cell-lysis techniques when measured by enzyme-linked immunosorbent assay or liquid chromatography/tandem mass spectrometry for three of the four samples.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081341","collaboration":"Prepared in collaboration with Abraxis, LLC, Delaware Department of Natural Resources and Environmental Control Division of Water Resources Environmental Laboratory, and the University of Delaware","usgsCitation":"Loftin, K.A., Meyer, M.T., Rubio, F., Kamp, L., Humphries, E., and Whereat, E., 2008, Comparison of two cell lysis procedures for recovery of microcystins in water samples from silver lake in Dover, Delaware, with microcystin producing cyanobacterial accumulations (Version 1.0): U.S. Geological Survey Open-File Report 2008-1341, vi, 10 p., https://doi.org/10.3133/ofr20081341.","productDescription":"vi, 10 p.","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":195275,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":367520,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2008/1341/pdf/of2008_1341.pdf"},{"id":12089,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1341/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Delaware","county":"Kent County","city":"Dover","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.71914672851562,\n 39.01491572891582\n ],\n [\n -75.34286499023438,\n 39.01491572891582\n ],\n [\n -75.34286499023438,\n 39.2832938689385\n ],\n [\n -75.71914672851562,\n 39.2832938689385\n ],\n [\n -75.71914672851562,\n 39.01491572891582\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae3ef","contributors":{"authors":[{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":301061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":301060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubio, Fernando","contributorId":92371,"corporation":false,"usgs":true,"family":"Rubio","given":"Fernando","affiliations":[],"preferred":false,"id":301064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kamp, Lisa","contributorId":23647,"corporation":false,"usgs":true,"family":"Kamp","given":"Lisa","affiliations":[],"preferred":false,"id":301062,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Humphries, Edythe","contributorId":88836,"corporation":false,"usgs":true,"family":"Humphries","given":"Edythe","email":"","affiliations":[],"preferred":false,"id":301063,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whereat, Ed","contributorId":102969,"corporation":false,"usgs":true,"family":"Whereat","given":"Ed","email":"","affiliations":[],"preferred":false,"id":301065,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":97105,"text":"ofr20081331 - 2008 - The U.S. Geological Survey Modular Ground-Water Model - PCGN: A Preconditioned Conjugate Gradient Solver with Improved Nonlinear Control","interactions":[],"lastModifiedDate":"2012-02-02T00:14:28","indexId":"ofr20081331","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"2008-1331","title":"The U.S. Geological Survey Modular Ground-Water Model - PCGN: A Preconditioned Conjugate Gradient Solver with Improved Nonlinear Control","docAbstract":"The preconditioned conjugate gradient with improved nonlinear control (PCGN) package provides addi-tional means by which the solution of nonlinear ground-water flow problems can be controlled as compared to existing solver packages for MODFLOW. Picard iteration is used to solve nonlinear ground-water flow equations by iteratively solving a linear approximation of the nonlinear equations. The linear solution is provided by means of the preconditioned conjugate gradient algorithm where preconditioning is provided by the modi-fied incomplete Cholesky algorithm. The incomplete Cholesky scheme incorporates two levels of fill, 0 and 1, in which the pivots can be modified so that the row sums of the preconditioning matrix and the original matrix are approximately equal. A relaxation factor is used to implement the modified pivots, which determines the degree of modification allowed. The effects of fill level and degree of pivot modification are briefly explored by means of a synthetic, heterogeneous finite-difference matrix; results are reported in the final section of this report. The preconditioned conjugate gradient method is coupled with Picard iteration so as to efficiently solve the nonlinear equations associated with many ground-water flow problems. The description of this coupling of the linear solver with Picard iteration is a primary concern of this document.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081331","usgsCitation":"Naff, R.L., and Banta, E., 2008, The U.S. Geological Survey Modular Ground-Water Model - PCGN: A Preconditioned Conjugate Gradient Solver with Improved Nonlinear Control (Version 1.0): U.S. Geological Survey Open-File Report 2008-1331, vi, 35 p., https://doi.org/10.3133/ofr20081331.","productDescription":"vi, 35 p.","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":195071,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12086,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1331/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abce4b07f02db67321b","contributors":{"authors":[{"text":"Naff, Richard L.","contributorId":79867,"corporation":false,"usgs":true,"family":"Naff","given":"Richard","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":301050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banta, Edward R.","contributorId":49820,"corporation":false,"usgs":true,"family":"Banta","given":"Edward R.","affiliations":[],"preferred":false,"id":301049,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97107,"text":"ofr20081326 - 2008 - EAARL topography-Colonial National Historical Park","interactions":[],"lastModifiedDate":"2023-12-07T17:17:52.361806","indexId":"ofr20081326","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"2008-1326","title":"EAARL topography-Colonial National Historical Park","docAbstract":"These Lidar-derived topography maps were produced as a collaborative effort between the U.S. Geological Survey (USGS) Coastal and Marine Geology Program, Florida Integrated Science Center (FISC) St. Petersburg, the National Park Service (NPS) Inventory and Monitoring Program, Northeast Coastal and Barrier Network, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility. One objective of this research is to create techniques to survey coral reefs, barrier islands, and various nearshore coastal environments for the purposes of geomorphic change studies, habitat mapping, ecological monitoring, change detection, and event assessment. As part of this project, data from an innovative instrument under development at the NASA Wallops Flight Facility, the NASA Experimental Airborne Advanced Research Lidar (EAARL) are being used. This sensor has the potential to make significant contributions in this realm for measuring subaerial and submarine topography wthin cross-environment surveys. High spectral resolution, water-column correction, and low costs were found to be key factors in providing accurate and affordable imagery to coastal resource managers.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081326","usgsCitation":"Brock, J., Wright, C.W., Nayegandhi, A., Stevens, S., and Travers, L.J., 2008, EAARL topography-Colonial National Historical Park: U.S. Geological Survey Open-File Report 2008-1326, HTML Document; DVD-ROM, https://doi.org/10.3133/ofr20081326.","productDescription":"HTML Document; DVD-ROM","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":12088,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1326/","linkFileType":{"id":5,"text":"html"}},{"id":195088,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"English","state":"Virginia","otherGeospatial":"Colonial National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.58878330453562,\n 37.24480367084047\n ],\n [\n -76.58878330453562,\n 37.12472798288427\n ],\n [\n -76.44053594987184,\n 37.12472798288427\n ],\n [\n -76.44053594987184,\n 37.24480367084047\n ],\n [\n -76.58878330453562,\n 37.24480367084047\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a56e4b07f02db62d556","contributors":{"authors":[{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":301055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":301058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":301057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":301059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Travers, Laurinda J. ltravers@usgs.gov","contributorId":3002,"corporation":false,"usgs":true,"family":"Travers","given":"Laurinda","email":"ltravers@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":301056,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":97103,"text":"ds382 - 2008 - Radionuclide Data and Calculations and Loss-On-Ignition, X-Ray Fluorescence, and ICP-AES Data from Cores in Catchments of the Animas River, Colorado","interactions":[],"lastModifiedDate":"2012-02-02T00:15:05","indexId":"ds382","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"382","title":"Radionuclide Data and Calculations and Loss-On-Ignition, X-Ray Fluorescence, and ICP-AES Data from Cores in Catchments of the Animas River, Colorado","docAbstract":"The U.S. Departments of Agriculture and Interior Abandoned Mine Lands (AML) Initiative is focused on the evaluation of the effect of past mining practices on the water quality and the riparian and aquatic habitats of impacted stream reaches downstream from historical mining districts located primarily on Federal lands. This problem is manifest in the eleven western states (west of longitude 102 degrees) where the majority of hardrock mines that had past production are located on Federal lands. In areas of temperate climate and moderate to heavy precipitation, the effects of rapid chemical and physical weathering of sulfides exposed on mine-waste dumps and acidic drainage from mines have resulted in elevated metal concentrations in the stream water and stream-bed sediment. The result of these mineral weathering processes has an unquantified impact on the quality of the water and the aquatic and riparian habitats that may limit their recreational resource value. One of the confounding factors in these studies is the determination of the component of metals derived from hydrothermally altered but unmined portions of these drainage basins. \r\n\r\nSeveral watersheds have been studied to evaluate the effects of acid mine drainage and acid rock drainage on the near-surface environment. The Animas River watershed in southwestern Colorado contains a large number of past-producing metal mines that have affected the watershed. Beginning in October 1996, the U.S. Geological Survey (USGS) began a collaborative study of these effects under the USGS-AML Initiative. In this report, we present the radionuclide and geochemical analytical results of sediment coring during 1997-1999 from two cores from oxbow lakes 0.5 mi. upstream from the 32nd Street Bridge near Durango, Colo., and from three cores from beaver ponds within the Mineral Creek drainage basin near Silverton, Colo.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds382","usgsCitation":"Church, S.E., Rice, C.A., and Marot, M.E., 2008, Radionuclide Data and Calculations and Loss-On-Ignition, X-Ray Fluorescence, and ICP-AES Data from Cores in Catchments of the Animas River, Colorado (Version 1.0): U.S. Geological Survey Data Series 382, Report: iv, 20 p.; Tables, https://doi.org/10.3133/ds382.","productDescription":"Report: iv, 20 p.; Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":169,"text":"Central Mineral Resources Team","active":false,"usgs":true}],"links":[{"id":198371,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12084,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/382/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649af7","contributors":{"authors":[{"text":"Church, Stan E. schurch@usgs.gov","contributorId":803,"corporation":false,"usgs":true,"family":"Church","given":"Stan","email":"schurch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":301043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Cyndi A.","contributorId":31080,"corporation":false,"usgs":true,"family":"Rice","given":"Cyndi","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":301045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marot, Marci E. 0000-0003-0504-315X mmarot@usgs.gov","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":2078,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"mmarot@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":301044,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97111,"text":"sir20085179 - 2008 - Precipitation, Ground-water Hydrology, and Recharge Along the Eastern Slopes of the Sandia Mountains, Bernalillo County, New Mexico","interactions":[],"lastModifiedDate":"2012-03-08T17:16:31","indexId":"sir20085179","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"2008-5179","title":"Precipitation, Ground-water Hydrology, and Recharge Along the Eastern Slopes of the Sandia Mountains, Bernalillo County, New Mexico","docAbstract":"The spatial and temporal distribution of recharge to carbonate and clastic aquifers along the eastern slopes of the Sandia Mountains was investigated by using precipitation, water-level, dissolved chloride, and specific-conductance data. The U.S. Geological Survey (USGS), in cooperation with the Bernalillo County Public Works Division, conducted a study to assess ground-water conditions and provide technical data that could be used as a basis for management and future planning of eastern Bernalillo County water resources. The intent of the investigation was to improve the current understanding of subsurface mechanisms controlling recharge dynamics in a geologically complex aquifer system. In the Sandia Mountains, precipitation events are generally limited to snowfalls in winter months and monsoon rainfall in late summer. Monthly meteorological data from weather stations in the study area indicate that monsoon rainfall during July and August constitutes close to one-third of annual precipitation totals. Following precipitation and snowmelt events, daily ground-water level data show low-amplitude, long-duration peaks in hydrographs of wells north and west of the Tijeras Fault. Hydrographs of monthly and biannual water-level data from across the study area show seasonal variation and water-level fluctuations in excess of 30 ft during a period of below-average precipitation. Water level observations in 67 percent of wells showing drought-induced water-level declines rebounded to at or near predrought conditions within 6 months of return to normal climate conditions. Cross-correlation of annual hydrologic data shows aquifer response to periods of monsoon recharge to persist from 1 to 6 months following events. The lag time between precipitation input and response of water levels or solute concentrations was largest near the Tijeras and Gutierrez Faults. These results indicate regional faults hydrologically isolate the Tijeras Graben from groundwater recharge originating at high elevations along the eastern slopes of the Sandia Mountains. Recharge rates calculated by using the chloride-mass-balance method for five springs located at the base of the Sandia Mountains ranged from 1 to 23 percent of annual precipitation.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085179","collaboration":"Prepared in cooperation with the Bernalillo County Public Works Division","usgsCitation":"McCoy, K.J., and Blanchard, P.J., 2008, Precipitation, Ground-water Hydrology, and Recharge Along the Eastern Slopes of the Sandia Mountains, Bernalillo County, New Mexico (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5179, vi, 34 p., https://doi.org/10.3133/sir20085179.","productDescription":"vi, 34 p.","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":198258,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12093,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5179/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.5,34.833333333333336 ], [ -106.5,35.25 ], [ -106.08333333333333,35.25 ], [ -106.08333333333333,34.833333333333336 ], [ -106.5,34.833333333333336 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db68076f","contributors":{"authors":[{"text":"McCoy, Kurt J. 0000-0002-9756-8238 kjmccoy@usgs.gov","orcid":"https://orcid.org/0000-0002-9756-8238","contributorId":1391,"corporation":false,"usgs":true,"family":"McCoy","given":"Kurt","email":"kjmccoy@usgs.gov","middleInitial":"J.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":301071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blanchard, Paul J.","contributorId":24388,"corporation":false,"usgs":true,"family":"Blanchard","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":301072,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97112,"text":"sir20085196 - 2008 - Comparison of the modified Biot-Gassmann theory and the Kuster-Toksöz theory in predicting elastic velocities of sediments","interactions":[],"lastModifiedDate":"2018-08-28T15:54:39","indexId":"sir20085196","displayToPublicDate":"2008-11-27T00:00:00","publicationYear":"2008","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":"2008-5196","title":"Comparison of the modified Biot-Gassmann theory and the Kuster-Toksöz theory in predicting elastic velocities of sediments","docAbstract":"Elastic velocities of water-saturated sandstones depend primarily on porosity, effective pressure, and the degree of consolidation. If the dry-frame moduli are known, from either measurements or theoretical calculations, the effect of pore water on velocities can be modeled using the Gassmann theory. Kuster and Toksoz developed a theory based on wave-scattering theory for a variety of inclusion shapes, which provides a means for calculating dry- or wet-frame moduli. In the Kuster-Toksoz theory, elastic wave velocities through different sediments can be predicted by using different aspect ratios of the sediment's pore space. Elastic velocities increase as the pore aspect ratio increases (larger pore aspect ratio describes a more spherical pore). On the basis of the velocity ratio, which is assumed to be a function of (1-0)n, and the Biot-Gassmann theory, Lee developed a semi-empirical equation for predicting elastic velocities, which is referred to as the modified Biot-Gassmann theory of Lee. In this formulation, the exponent n, which depends on the effective pressure and the degree of consolidation, controls elastic velocities; as n increases, elastic velocities decrease. Computationally, the role of exponent n in the modified Biot-Gassmann theory by Lee is similar to the role of pore aspect ratios in the Kuster-Toksoz theory. For consolidated sediments, either theory predicts accurate velocities. However, for unconsolidated sediments, the modified Biot-Gassmann theory by Lee performs better than the Kuster-Toksoz theory, particularly in predicting S-wave velocities.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085196","usgsCitation":"Lee, M.W., 2008, Comparison of the modified Biot-Gassmann theory and the Kuster-Toksöz theory in predicting elastic velocities of sediments (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5196, iv, 14 p., https://doi.org/10.3133/sir20085196.","productDescription":"iv, 14 p.","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":125655,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5196.jpg"},{"id":356873,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2008/5196/pdf/SIR08-5196_508.pdf","text":"Report","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":12094,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2008/5196/","text":"Index Page","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae656","contributors":{"authors":[{"text":"Lee, Myung W. mlee@usgs.gov","contributorId":779,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"mlee@usgs.gov","middleInitial":"W.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":301073,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}