{"pageNumber":"1531","pageRowStart":"38250","pageSize":"25","recordCount":184606,"records":[{"id":70044460,"text":"ds688 - 2013 - Groundwater-quality data in the Cascade Range and Modoc Plateau study unit, 2010-Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2013-03-07T08:44:55","indexId":"ds688","displayToPublicDate":"2013-03-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"688","title":"Groundwater-quality data in the Cascade Range and Modoc Plateau study unit, 2010-Results from the California GAMA Program","docAbstract":"Groundwater quality in the 39,000-square-kilometer Cascade Range and Modoc Plateau (CAMP) study unit was investigated by the U.S. Geological Survey (USGS) from July through October 2010, as part of the California State Water Resources Control Board (SWRCB) Groundwater Ambient Monitoring and Assessment (GAMA) Program’s Priority Basin Project (PBP). The GAMA PBP was developed in response to the California Groundwater Quality Monitoring Act of 2001 and is being conducted in collaboration with the SWRCB and Lawrence Livermore National Laboratory (LLNL). The CAMP study unit is the thirty-second study unit to be sampled as part of the GAMA PBP. The GAMA CAMP study was designed to provide a spatially unbiased assessment of untreated-groundwater quality in the primary aquifer system and to facilitate statistically consistent comparisons of untreated-groundwater quality throughout California. The primary aquifer system is defined as that part of the aquifer corresponding to the open or screened intervals of wells listed in the California Department of Public Health (CDPH) database for the CAMP study unit. The quality of groundwater in shallow or deep water-bearing zones may differ from the quality of groundwater in the primary aquifer system; shallow groundwater may be more vulnerable to surficial contamination. In the CAMP study unit, groundwater samples were collected from 90 wells and springs in 6 study areas (Sacramento Valley Eastside, Honey Lake Valley, Cascade Range and Modoc Plateau Low Use Basins, Shasta Valley and Mount Shasta Volcanic Area, Quaternary Volcanic Areas, and Tertiary Volcanic Areas) in Butte, Lassen, Modoc, Plumas, Shasta, Siskiyou, and Tehama Counties. Wells and springs were selected by using a spatially distributed, randomized grid-based method to provide statistical representation of the study unit (grid wells). Groundwater samples were analyzed for field water-quality indicators, organic constituents, perchlorate, inorganic constituents, radioactive constituents, and microbial indicators. Naturally occurring isotopes and dissolved noble gases also were measured to provide a dataset that will be used to help interpret the sources and ages of the sampled groundwater in subsequent reports. In total, 221 constituents were investigated for this study. Three types of quality-control samples (blanks, replicates, and matrix spikes) were collected at approximately 10 percent of the wells in the CAMP study unit, and the results for these samples were used to evaluate the quality of the data for the groundwater samples. Blanks rarely contained detectable concentrations of any constituent, suggesting that contamination from sample collection procedures was not a significant source of bias in the data for the groundwater samples. Replicate samples generally were within the limits of acceptable analytical reproducibility. Matrix-spike recoveries were within the acceptable range (70 to 130 percent) for approximately 90 percent of the compounds. This study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, untreated groundwater typically is treated, disinfected, and (or) blended with other waters to maintain water quality. Regulatory benchmarks apply to water that is served to the consumer, not to untreated groundwater. However, to provide some context for the results, concentrations of constituents measured in the untreated groundwater were compared with regulatory and non-regulatory health-based benchmarks established by the U.S. Environmental Protection Agency (USEPA) and CDPH, and to non-regulatory benchmarks established for aesthetic concerns by CDPH. Comparisons between data collected for this study and benchmarks for drinking water are for illustrative purposes only and are not indicative of compliance or non-compliance with those benchmarks. All organic constituents and most inorganic constituents that were detected in groundwater samples from the 90 grid wells in the CAMP study unit were detected at concentrations less than drinking-water benchmarks. Of the 148 organic constituents analyzed, 27 were detected in groundwater samples; concentrations of all detected constituents were less than regulatory and nonregulatory health-based benchmarks, and all were less than 1/10 of benchmark levels. One or more organic constituents were detected in 52 percent of the grid wells in the CAMP study unit: VOCs were detected in 30 percent, and pesticides and pesticide degradates were detected in 31 percent. Trace elements, major ions, nutrients, and radioactive constituents were sampled for at 90 grid wells in the CAMP study unit, and most detected concentrations were less than health-based benchmarks. Exceptions include three detections of arsenic greater than the USEPA maximum contaminant level (MCL-US) of 10 micrograms per liter (µg/L), two detections of boron greater than the CDPH notification level (NL-CA) of 1,000 µg/L, two detections of molybdenum greater than the USEPA lifetime health advisory level (HAL-US) of 40 µg/L, two detections of vanadium greater than the CDPH notification level (NL-CA) of 50 µg/L, one detection of nitrate, as nitrogen, greater than the MCL-US of 10 milligrams per liter (mg/L), two detections of uranium greater than the MCL-US of 30 µg/L and the MCL-CA of 20 picocuries per liter (pCi/L), one detection of radon-222 greater than the proposed MCL-US of 4,000 pCi/L, and two detections of gross alpha particle activity greater than the MCL-US of 15 pCi/L. Results for inorganic constituents with non-regulatory benchmarks set for aesthetic concerns showed that iron concentrations greater than the CDPH secondary maximum contaminant level (SMCL-CA) of 300 µg/L were detected in four grid wells. Manganese concentrations greater than the SMCL-CA of 50 µg/L were detected in nine grid wells. Chloride and TDS were detected at concentrations greater than the upper SMCL-CA benchmarks of 500 mg/L and 1,000 mg/L, respectively, in one grid well. Microbial indicators (total coliform and Escherichia coli [E. coli]) were detected in 11 percent of the 83 grid wells sampled for these analyses in the CAMP study unit. The presence of total coliform was detected in nine grid wells, and the presence of E. coli was detected in one of these same grid wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds688","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Shelton, J.L., Fram, M.S., and Belitz, K., 2013, Groundwater-quality data in the Cascade Range and Modoc Plateau study unit, 2010-Results from the California GAMA Program: U.S. Geological Survey Data Series 688, x, 126 p., https://doi.org/10.3133/ds688.","productDescription":"x, 126 p.","numberOfPages":"138","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":268879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds688.jpg"},{"id":268877,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/688/"},{"id":268878,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/688/pdf/ds688.pdf"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum of 1983","country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,8.333333333333334E-4 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01611111111111111,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5139b6eee4b09608cc166b0b","contributors":{"authors":[{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":475660,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044461,"text":"b1995CC - 2013 - Characterization of the Hosgri Fault Zone and adjacent structures in the offshore Santa Maria Basin, south-central California","interactions":[{"subject":{"id":70044461,"text":"b1995CC - 2013 - Characterization of the Hosgri Fault Zone and adjacent structures in the offshore Santa Maria Basin, south-central California","indexId":"b1995CC","publicationYear":"2013","noYear":false,"chapter":"CC","title":"Characterization of the Hosgri Fault Zone and adjacent structures in the offshore Santa Maria Basin, south-central California"},"predicate":"IS_PART_OF","object":{"id":33200,"text":"b1995 - 1991 - Evolution of sedimentary basins/onshore oil and gas investigations: Santa Maria Province","indexId":"b1995","publicationYear":"1991","noYear":false,"title":"Evolution of sedimentary basins/onshore oil and gas investigations: Santa Maria Province"},"id":1}],"isPartOf":{"id":33200,"text":"b1995 - 1991 - Evolution of sedimentary basins/onshore oil and gas investigations: Santa Maria Province","indexId":"b1995","publicationYear":"1991","noYear":false,"title":"Evolution of sedimentary basins/onshore oil and gas investigations: Santa Maria Province"},"lastModifiedDate":"2021-08-30T18:41:17.50507","indexId":"b1995CC","displayToPublicDate":"2013-03-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":306,"text":"Bulletin","code":"B","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1995","chapter":"CC","title":"Characterization of the Hosgri Fault Zone and adjacent structures in the offshore Santa Maria Basin, south-central California","docAbstract":"The Hosgri Fault Zone trends subparallel to the south-central California coast for 110 km from north of Point Estero to south of Purisima Point and forms the eastern margin of the present offshore Santa Maria Basin. Knowledge of the attributes of the Hosgri Fault Zone is important for petroleum development, seismic engineering, and environmental planning in the region. Because it lies offshore along its entire reach, our characterizations of the Hosgri Fault Zone and adjacent structures are primarily based on the analysis of over 10,000 km of common-depth-point marine seismic reflection data collected from a 5,000-km2 area of the central and eastern parts of the offshore Santa Maria Basin. We describe and illustrate the along-strike and downdip geometry of the Hosgri Fault Zone over its entire length and provide examples of interpreted seismic reflection records and a map of the structural trends of the fault zone and adjacent structures in the eastern offshore Santa Maria Basin. The seismic data are integrated with offshore well and seafloor geologic data to describe the age and seismic appearance of offshore geologic units and marker horizons. We develop a basin-wide seismic velocity model for depth conversions and map three major unconformities along the eastern offshore Santa Maria Basin. Accompanying plates include maps that are also presented as figures in the report. Appendix A provides microfossil data from selected wells and appendix B includes uninterpreted copies of the annotated seismic record sections illustrated in the chapter. Features of the Hosgri Fault Zone documented in this investigation are suggestive of both lateral and reverse slip. Characteristics indicative of lateral slip include (1) the linear to curvilinear character of the mapped trace of the fault zone, (2) changes in structural trend along and across the fault zone that diminish in magnitude toward the ends of the fault zone, (3) localized compressional and extensional structures characteristic of constraining and releasing bends and stepovers, (4) changes in the sense and magnitude of vertical separation along strike within the fault zone, and (5) changes in downdip geometry between the major traces and segments of the fault zone. Characteristics indicative of reverse slip include (1) reverse fault geometries that occur across major strands of the fault zone and (2) fault-bend folds and localized thrust faults that occur along the northern and southern reaches of the fault. Analyses of high-resolution, subbottom profiler and side-scan sonar records indicate localized Holocene activity along most of the extent of the fault zone. Collectively, these features are the basis of our characterization of the Hosgri Fault Zone as an active, 110-km-long, convergent right-oblique slip (transpressional) fault with identified northern and southern terminations. This interpretation is consistent with recently published analyses of onshore geologic data, regional tectonic kinematic models, and instrumental seismicity.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Evolution of sedimentary basins/onshore oil and gas investigations: Santa Maria Province","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/b1995CC","usgsCitation":"Willingham, C.R., Rietman, J.D., Heck, R.G., and Lettis, W.R., 2013, Characterization of the Hosgri Fault Zone and adjacent structures in the offshore Santa Maria Basin, south-central California: U.S. Geological Survey Bulletin 1995, Report: ix, 106 p.; 7 Plates: 32 x 40 inches or smaller, https://doi.org/10.3133/b1995CC.","productDescription":"Report: ix, 106 p.; 7 Plates: 32 x 40 inches or smaller","numberOfPages":"116","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":379,"text":"Menlo Park Science Center","active":false,"usgs":true}],"links":[{"id":268893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/b1995CC.jpg"},{"id":268892,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate7.pdf"},{"id":268891,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate6.pdf"},{"id":268889,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate5.pdf"},{"id":268888,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate4.pdf"},{"id":268887,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate3.pdf"},{"id":268884,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/bul/1995/cc/"},{"id":268886,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate2.pdf"},{"id":268883,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc.pdf"},{"id":268885,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate1.pdf"}],"country":"United States","state":"California","otherGeospatial":"Hosgri Fault Zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.10205078125,\n              34.252676117101515\n            ],\n            [\n              -119.70703125,\n              34.252676117101515\n            ],\n            [\n              -119.70703125,\n              36.70365959719456\n            ],\n            [\n              -122.10205078125,\n              36.70365959719456\n            ],\n            [\n              -122.10205078125,\n              34.252676117101515\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5139b6ece4b09608cc166b03","contributors":{"authors":[{"text":"Willingham, C. Richard","contributorId":92940,"corporation":false,"usgs":true,"family":"Willingham","given":"C.","email":"","middleInitial":"Richard","affiliations":[],"preferred":false,"id":475665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rietman, Jan D.","contributorId":59437,"corporation":false,"usgs":true,"family":"Rietman","given":"Jan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":475663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heck, Ronald G.","contributorId":106395,"corporation":false,"usgs":true,"family":"Heck","given":"Ronald","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":475666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lettis, William R.","contributorId":85970,"corporation":false,"usgs":true,"family":"Lettis","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":475664,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044469,"text":"fs20123148 - 2013 - Assessment of undiscovered conventional oil and gas resources of the Western Canada Sedimentary Basin, Canada, 2012","interactions":[],"lastModifiedDate":"2018-01-08T13:18:50","indexId":"fs20123148","displayToPublicDate":"2013-03-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3148","title":"Assessment of undiscovered conventional oil and gas resources of the Western Canada Sedimentary Basin, Canada, 2012","docAbstract":"The U.S. Geological Survey recently completed a geoscience-based assessment of undiscovered oil and gas resources of provinces within the Western Canada Sedimentary Basin. The Western Canada Sedimentary Basin primarily comprises the (1) Alberta Basin Province of Alberta, eastern British Columbia, and the southwestern Northwest Territories; (2) the Williston Basin Province of Saskatchewan, southeastern Alberta, and southern Manitoba; and (3) the Rocky Mountain Deformed Belt Province of western Alberta and eastern British Columbia. This report is part of the U.S. Geological Survey World Petroleum Resources Project assessment of priority geologic provinces of the world. The assessment was based on geoscience elements that define a total petroleum system (TPS) and associated assessment unit(s). These elements include petroleum source rocks (geochemical properties and petroleum generation, migration, and accumulation), reservoir description (reservoir presence, type, and quality), and petroleum traps (trap and seal types, and timing of trap and seal formation relative to petroleum migration). Using this framework, the Elk Point-Woodbend Composite TPS, Exshaw-Fernie-Mannville Composite TPS, and Middle through Upper Cretaceous Composite TPS were defined, and four conventional assessment units within the total petroleum systems were quantitatively assessed for undiscovered resources in the Western Canada Sedimentary Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123148","usgsCitation":"Higley, D.K., 2013, Assessment of undiscovered conventional oil and gas resources of the Western Canada Sedimentary Basin, Canada, 2012: U.S. Geological Survey Fact Sheet 2012-3148, 4 p., https://doi.org/10.3133/fs20123148.","productDescription":"4 p.","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-041753","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":268898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20123148.gif"},{"id":268896,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3148/FS12-3148-508.pdf"},{"id":268897,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3148/"}],"country":"Canada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -131.0,47.0 ], [ -131.0,62.0 ], [ -88.0,62.0 ], [ -88.0,47.0 ], [ -131.0,47.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5139b6ebe4b09608cc166aff","contributors":{"authors":[{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475671,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044470,"text":"fs20133007 - 2013 - Advanced and applied remote sensing of environmental conditions","interactions":[],"lastModifiedDate":"2013-03-07T15:33:36","indexId":"fs20133007","displayToPublicDate":"2013-03-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3007","title":"Advanced and applied remote sensing of environmental conditions","docAbstract":"\"Remote sensing” is a general term for monitoring techniques that collect information without being in physical contact with the object of study. Overhead imagery from aircraft and satellite sensors provides the most common form of remotely sensed data and records the interaction of electromagnetic energy (usually visible light) with matter, such as the Earth’s surface.\n\nRemotely sensed data are fundamental to geographic science. The U.S. Geological Survey’s (USGS) Eastern Geographic Science Center (EGSC) is currently conducting and promoting the research and development of several different aspects of remote sensing science in both the laboratory and from overhead instruments. Spectroscopy is the science of recording interactions of energy and matter and is the bench science for all remote sensing. Visible and infrared analysis in the laboratory with special instruments called spectrometers enables the transfer of this research from the laboratory to multispectral (5–15 broad bands) and hyperspectral (50–300 narrow contiguous bands) analyses from aircraft and satellite sensors. In addition, mid-wave (3–5 micrometers, µm) and long-wave (8–14 µm) infrared data analysis, such as attenuated total reflectance (ATR) spectral analysis, are also conducted. ATR is a special form of vibrational infrared spectroscopy that has many applications in chemistry and biology but has recently been shown to be especially diagnostic for vegetation analysis.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133007","usgsCitation":"Slonecker, E.T., Fisher, G.B., Marr, D.A., Milheim, L., and Roig-Silva, C., 2013, Advanced and applied remote sensing of environmental conditions: U.S. Geological Survey Fact Sheet 2013-3007, 2 p., https://doi.org/10.3133/fs20133007.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":268901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133007.gif"},{"id":268899,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3007/"},{"id":268900,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3007/pdf/fs2013-3007.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5139b6e2e4b09608cc166af7","contributors":{"authors":[{"text":"Slonecker, E. Terrence 0000-0002-5793-0503","orcid":"https://orcid.org/0000-0002-5793-0503","contributorId":67175,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.","email":"","middleInitial":"Terrence","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":false,"id":475674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Gary B. gfisher@usgs.gov","contributorId":3034,"corporation":false,"usgs":true,"family":"Fisher","given":"Gary","email":"gfisher@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":475672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marr, David A.","contributorId":28874,"corporation":false,"usgs":true,"family":"Marr","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":475673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milheim, Lesley E.","contributorId":100951,"corporation":false,"usgs":true,"family":"Milheim","given":"Lesley E.","affiliations":[],"preferred":false,"id":475675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roig-Silva, Coral M.","contributorId":108370,"corporation":false,"usgs":true,"family":"Roig-Silva","given":"Coral M.","affiliations":[],"preferred":false,"id":475676,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044462,"text":"sir20135032 - 2013 - Evaluation of the groundwater-flow model for the Ohio River alluvial aquifer near Carrollton, Kentucky, updated to conditions in September 2010","interactions":[],"lastModifiedDate":"2013-03-07T09:07:36","indexId":"sir20135032","displayToPublicDate":"2013-03-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5032","title":"Evaluation of the groundwater-flow model for the Ohio River alluvial aquifer near Carrollton, Kentucky, updated to conditions in September 2010","docAbstract":"The Ohio River alluvial aquifer near Carrollton, Ky., is an important water resource for the cities of Carrollton and Ghent, as well as for several industries in the area. The groundwater of the aquifer is the primary source of drinking water in the region and a highly valued natural resource that attracts various water-dependent industries because of its quantity and quality. This report evaluates the performance of a numerical model of the groundwater-flow system in the Ohio River alluvial aquifer near Carrollton, Ky., published by the U.S. Geological Survey in 1999. The original model simulated conditions in November 1995 and was updated to simulate groundwater conditions estimated for September 2010. \nThe files from the calibrated steady-state model of November 1995 conditions were imported into MODFLOW-2005 to update the model to conditions in September 2010. The model input files modified as part of this update were the well and recharge files. The design of the updated model and other input files are the same as the original model. The ability of the updated model to match hydrologic conditions for September 2010 was evaluated by comparing water levels measured in wells to those computed by the model. Water-level measurements were available for 48 wells in September 2010. Overall, the updated model underestimated the water levels at 36 of the 48 measured wells. The average difference between measured water levels and model-computed water levels was 3.4 feet and the maximum difference was 10.9 feet. The root-mean-square error of the simulation was 4.45 for all 48 measured water levels. \nThe updated steady-state model could be improved by introducing more accurate and site-specific estimates of selected field parameters, refined model geometry, and additional numerical methods. Collection of field data to better estimate hydraulic parameters, together with continued review of available data and information from area well operators, could provide the model with revised estimates of conductance values for the riverbed and valley wall, hydraulic conductivities for the model layer, and target water levels for future simulations. Additional model layers, a redesigned model grid, and revised boundary conditions could provide a better framework for more accurate simulations. Additional numerical methods would identify possible parameter estimates and determine parameter sensitivities.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135032","collaboration":"Prepared in cooperation with the City of Carrollton, Kentucky","usgsCitation":"Unthank, M.D., 2013, Evaluation of the groundwater-flow model for the Ohio River alluvial aquifer near Carrollton, Kentucky, updated to conditions in September 2010: U.S. Geological Survey Scientific Investigations Report 2013-5032, iv, 14 p., https://doi.org/10.3133/sir20135032.","productDescription":"iv, 14 p.","startPage":"i","endPage":"14","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":268882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135032.png"},{"id":268880,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5032/"},{"id":268881,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5032/pdf/SIR2013-5032.pdf"}],"country":"United States","state":"Kentucky","otherGeospatial":"Ohio River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.5715,36.4972 ], [ -89.5715,39.1475 ], [ -81.965,39.1475 ], [ -81.965,36.4972 ], [ -89.5715,36.4972 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5139b6ede4b09608cc166b07","contributors":{"authors":[{"text":"Unthank, Michael D. 0000-0003-2483-0431 munthank@usgs.gov","orcid":"https://orcid.org/0000-0003-2483-0431","contributorId":3902,"corporation":false,"usgs":true,"family":"Unthank","given":"Michael","email":"munthank@usgs.gov","middleInitial":"D.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475667,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044473,"text":"sir20125281 - 2013 - Assessing total nitrogen in surface-water samples--precision and bias of analytical and computational methods","interactions":[],"lastModifiedDate":"2013-03-09T09:53:24","indexId":"sir20125281","displayToPublicDate":"2013-03-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5281","title":"Assessing total nitrogen in surface-water samples--precision and bias of analytical and computational methods","docAbstract":"The characterization of total-nitrogen (TN) concentrations is an important component of many surface-water-quality programs. However, three widely used methods for the determination of total nitrogen—(1) derived from the alkaline-persulfate digestion of whole-water samples (TN-A); (2) calculated as the sum of total Kjeldahl nitrogen and dissolved nitrate plus nitrite (TN-K); and (3) calculated as the sum of dissolved nitrogen and particulate nitrogen (TN-C)—all include inherent limitations. A digestion process is intended to convert multiple species of nitrogen that are present in the sample into one measureable species, but this process may introduce bias. TN-A results can be negatively biased in the presence of suspended sediment, and TN-K data can be positively biased in the presence of elevated nitrate because some nitrate is reduced to ammonia and is therefore counted twice in the computation of total nitrogen. Furthermore, TN-C may not be subject to bias but is comparatively imprecise. In this study, the effects of suspended-sediment and nitrate concentrations on the performance of these TN methods were assessed using synthetic samples developed in a laboratory as well as a series of stream samples. A 2007 laboratory experiment measured TN-A and TN-K in nutrient-fortified solutions that had been mixed with varying amounts of sediment-reference materials. This experiment identified a connection between suspended sediment and negative bias in TN-A and detected positive bias in TN-K in the presence of elevated nitrate. A 2009–10 synoptic-field study used samples from 77 stream-sampling sites to confirm that these biases were present in the field samples and evaluated the precision and bias of TN methods.\n\nThe precision of TN-C and TN-K depended on the precision and relative amounts of the TN-component species used in their respective TN computations. Particulate nitrogen had an average variability (as determined by the relative standard deviation) of 13 percent. However, because particulate nitrogen constituted only 14 percent, on average, of TN-C, the precision of the TN-C method approached that of the method for dissolved nitrogen (2.3 percent). On the other hand, total Kjeldahl nitrogen (having a variability of 7.6 percent) constituted an average of 40 percent of TN-K, suggesting that the reduced precision of the Kjeldahl digestion may affect precision of the TN-K estimates. For most samples, the precision of TN computed as TN-C would be better (lower variability) than the precision of TN-K. In general, TN-A precision (having a variability of 2.1 percent) was superior to TN-C and TN-K methods.\n\nThe laboratory experiment indicated that negative bias in TN-A was present across the entire range of sediment concentration and increased as sediment concentration increased. This suggested that reagent limitation was not the predominant cause of observed bias in TN-A. Furthermore, analyses of particulate nitrogen present in digest residues provided an almost complete accounting for the nitrogen that was underestimated by alkaline-persulfate digestion. This experiment established that, for the reference materials at least, negative bias in TN-A was caused primarily by the sequestration of some particulate nitrogen that was refractory to the digestion process. TN-K biases varied between positive and negative values in the laboratory experiment. Positive bias in TN-K is likely the result of the unintended reduction of a small and variable amount of nitrate to ammonia during the Kjeldahl digestion process. Negative TN-K bias may be the result of the sequestration of a portion of particulate nitrogen during the digestion process.\n\nNegative bias in TN-A was present across the entire range of suspended-sediment concentration (1 to 14,700 milligrams per liter [mg/L]) in the synoptic-field study, with relative bias being nearly as great at sediment concentrations below 10 mg/L (median of -3.5 percent) as that observed at sediment concentrations up to 750 mg/L (median of -4.4 percent). This lent support to the laboratory-experiment finding that some particulate nitrogen is sequestered during the digestion process, and demonstrated that negative TN-A bias was present in samples with very low suspended-sediment concentrations. At sediment concentrations above 750 mg/L, the negative TN-A bias became more likely and larger (median of -13.2 percent), suggesting a secondary mechanism of bias, such as reagent limitation. From a geospatial perspective, trends in TN-A bias were not explained by selected basin characteristics. Though variable, TN-K bias generally was positive in the synoptic-field study (median of 3.1 percent), probably as a result of the reduction of nitrate.\n\nThree alternative approaches for assessing TN in surface water were evaluated for their impacts on existing and future sampling programs. Replacing TN-A with TN-C would remove the bias from subsequent data, but this approach also would introduce discontinuity in historical records. Replacing TN-K with TN-C would lead to the removal of positive bias in TN-K in the presence of elevated nitrate. However, in addition to the issues that may arise from a discontinuity in the data record, this approach may not be applicable to regulatory programs that require the use of total Kjeldahl nitrogen for stream assessment. By adding TN-C to existing TN-A or TN-K analyses, historical-data continuity would be preserved and the transitional period could be used to minimize the impact of bias on data analyses. This approach, however, imposes the greatest burdens on field operations and in terms of analytical costs. The variation in these impacts on different sampling programs will challenge U.S. Geological Survey scientists attempting to establish uniform standards for TN sample collection and analytical determinations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125281","usgsCitation":"Rus, D.L., Patton, C.J., Mueller, D.K., and Crawford, C.G., 2013, Assessing total nitrogen in surface-water samples--precision and bias of analytical and computational methods: U.S. Geological Survey Scientific Investigations Report 2012-5281, vi, 38 p.; Downloads Directory, https://doi.org/10.3133/sir20125281.","productDescription":"vi, 38 p.; Downloads Directory","startPage":"i","endPage":"38","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-038804","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":268905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125281.gif"},{"id":268904,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5281/downloads/"},{"id":268902,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5281/"},{"id":268903,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5281/sir12_5281.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5139b6ebe4b09608cc166afb","contributors":{"authors":[{"text":"Rus, David L. 0000-0003-3538-7826 dlrus@usgs.gov","orcid":"https://orcid.org/0000-0003-3538-7826","contributorId":881,"corporation":false,"usgs":true,"family":"Rus","given":"David","email":"dlrus@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patton, Charles J. cjpatton@usgs.gov","contributorId":809,"corporation":false,"usgs":true,"family":"Patton","given":"Charles","email":"cjpatton@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":475683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, David K. mueller@usgs.gov","contributorId":1585,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"mueller@usgs.gov","middleInitial":"K.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":475686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":475685,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045370,"text":"70045370 - 2013 - Chapter A: Summary and findings","interactions":[],"lastModifiedDate":"2022-12-27T17:08:55.323689","indexId":"70045370","displayToPublicDate":"2013-03-06T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"chapter":"A","title":"Chapter A: Summary and findings","docAbstract":"<div class=\"page\" title=\"Page 25\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p>The Agency for Toxic Substances and Disease Registry (ATSDR) is conducting epidemiological studies to evaluate the potential for health effects from exposures to volatile organic compounds (VOCs) in finished water supplied to family housing units at U.S. Marine Corps Base Camp Lejeune, North Carolina (USMCB Camp Lejeune). The core period of interest for the epidemiological studies is 1968&ndash; 1985. VOCs of major interest to the epidemiological studies include tetrachloroethylene (PCE), trichloroethylene (TCE), <i>trans</i>-1,2-dichloroethylene (1,2-tDCE), vinyl chloride (VC), and benzene.</p>\n<p>Eight water-distribution systems have supplied or currently (2013) are supplying finished water to family housing and other facilities at USMCB Camp Lejeune. The three distribution systems of interest to this study&mdash;Tarawa Terrace, Hadnot Point, and Holcomb Boulevard&mdash;have historically supplied finished water to the majority of family housing units at the Base. Historical exposure data needed for the epidemiological studies are limited or unavailable. To obtain estimates of historical exposure, water-modeling methods are used to quantify concentrations of particular contaminants in finished water and to compute the level and duration of human expo- sure to contaminated finished water.</p>\n<p>During 2007&ndash;2009, ATSDR published historical reconstruction results for contaminants delivered in finished water to Tarawa Terrace family housing areas and vicinity. Corresponding results for Hadnot Point and Holcomb Boulevard family housing areas and vicinity are presented here as a series of reports supporting ATSDR&rsquo;s health studies at USMCB Camp Lejeune. These reports and associated supplements provide comprehensive descriptions of information, data analyses and interpretations, and modeling results used to reconstruct historical contaminant concentration levels in finished water delivered within the service areas of the Hadnot Point and Holcomb Boulevard water treatment plants (WTPs) and vicinities. This report, Chapter A: Summary and Findings, summarizes analyses and results of reconstructed VOC concentrations in groundwater, in water-supply wells, and in finished water delivered by the Hadnot Point WTP (HPWTP) and Holcomb Boulevard WTP (HBWTP) to family housing areas and vicinities.</p>\n<p>Methods and approaches to complete the historical reconstruction process for the Hadnot Point&ndash;Holcomb Boulevard study area included (1) information discovery and data mining, (2) three-dimensional, steady-state (predevelopment) and transient groundwater-flow modeling using MODFLOW-2005 and objective parameter estimation using PEST-12, (3) deter- mining historical water-supply well scheduling and operations using TechWellOp, (4) three-dimensional contaminant fate and transport modeling for VOCs dissolved in groundwater using MT3DMS-5.3, (5) estimating the volume of light nonaqueous phase liquid (LNAPL) released to the subsurface at the Hadnot Point Industrial Area using TechNAPLVol, (6) analysis of LNAPL and dissolved phase fate and transport using TechFlowMP, (7) reconstruction of water-supply well concentrations at the Hadnot Point landfill using the linear control theory model (LCM) TechControl, (8) computation of flow-weighted average concentrations of VOCs assigned to finished water delivered by the HPWTP using a materials mass balance (simple mixing) model, (9) extended period simulation of hydraulics and water quality of the Holcomb Boulevard water-distribution system using EPANET 2, (10) sensitivity analysis of hydraulic, fate and transport, and numerical-model parameter values, (11) uncertainty analysis by coupling Kalman filtering with Monte Carlo simulation within the LCM methodology, and (12) probabilistic analysis of intermittent connections (1972&ndash;1985) of the Hadnot Point and Holcomb Boulevard water-distribution systems using the TechMarkov-Chain model. The end result of the historical reconstruction process was the estimation of monthly mean concentrations of selected VOCs in finished water distributed to housing areas served by the HPWTP and HBWTP.</p>\n<p>Historical reconstruction results summarized herein provide considerable evidence that concentrations of several contaminants of interest in finished water delivered by the HPWTP substantially exceeded current maximum contaminant levels (MCLs) during all or much of the epidemiological study period of 1968&ndash;1985. Reconstructed concentrations of TCE exceeded the current MCL of 5 micrograms per liter (&mu;g/L) prior to and during the entire epidemiological study period and reached a maximum reconstructed concentration of 783 &mu;g/L during November 1983. The most likely date that TCE first exceeded its current MCL is during August 1953; however, this exceedance could have been as early as November 1948. Corresponding finished-water concentrations of PCE exceeded the current MCL of 5 &mu;g/L during most of the period 1975&ndash;1985 and also reached a maximum concentration of 39 &mu;g/L during November 1983. Similar results for 1,2-tDCE and VC were also noted during the period 1975&ndash;1985. The maximum reconstructed concentrations of 1,2-tDCE and VC were 435 and 67 &mu;g/L, respectively, and also occurred during November 1983. The respective current MCLs for these contaminants are 100 and 2.0 &mu;g/L.</p>\n<p>Substantial volumes of liquid hydrocarbon fuels were lost due to leakage to the subsurface within the Hadnot Point Industrial Area. This area contained as many as 10 active water-supply wells. Despite the large volumes lost, finished- water concentrations of benzene only slightly exceeded the current MCL of 5 &mu;g/L during the period 1980&ndash;1985. The maximum reconstructed concentration of 12 &mu;g/L of benzene occurred during April 1984.</p>\n<p>Within the HBWTP service area, only TCE routinely exceeded its current MCL during intermittent periods (1972&ndash;1985). The TCE resulted from transfers of finished water from the Hadnot Point water-distribution system to the Holcomb Boulevard water-distribution system. The maximum reconstructed TCE concentration of 51 &mu;g/L occurred during June 1978 at the Berkeley Manor housing area. During the 8-day period of January 28 through February 4, 1985, the HBWTP was out of service, and the HPWTP continuously supplied finished water to the Holcomb Boulevard housing area. During this period, the maximum reconstructed TCE concentration at the HPWTP was 324 &mu;g/L, which resulted in a maximum reconstructed monthly mean concentration of 66 &mu;g/L within the Paradise Point housing area.</p>\n<p>&nbsp;</p>\n<p>&nbsp;</p>\n<p>&nbsp;</p>\n<p>&nbsp;</p>\n<p><span>&nbsp;</span></p>\n</div>\n</div>\n</div>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Analyses and historical reconstruction of groundwater flow, contaminant fate and transport, and distribution of drinking water within the service areas of the Hadnot Point and Holcomb Boulevard water treatment plants and vicinities,  U.S. Marine Corps Base Camp Lejeune, North Carolina","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Department of Health and Human Services, Agency for Toxic Substances and Disease Registry","publisherLocation":"Atlanta, GA","usgsCitation":"Maslia, M.L., Suarez-Soto, R.J., Sautner, J.B., Anderson, B.A., Jones, L.E., Faye, R.E., Aral, M.M., Guan, J., Jang, W., Telci, I.T., Grayman, W.M., Bove, F.J., Ruckart, P.Z., and Moore, S.M., 2013, Chapter A: Summary and findings, xxii, 183 p.","productDescription":"xxii, 183 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044280","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":325115,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325114,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://www.atsdr.cdc.gov/sites/lejeune/docs/chapter_A_hadnotpoint.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":325113,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.atsdr.cdc.gov/sites/lejeune/hadnotpoint.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","otherGeospatial":"Camp Lejeune","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.40829467773438,\n              34.621342549943144\n            ],\n            [\n              -77.40829467773438,\n              34.773203753940734\n            ],\n            [\n              -77.28469848632812,\n              34.773203753940734\n            ],\n            [\n              -77.28469848632812,\n              34.621342549943144\n            ],\n            [\n              -77.40829467773438,\n              34.621342549943144\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dd03ee4b0589fa1cbde9e","contributors":{"authors":[{"text":"Maslia, Morris L.","contributorId":71952,"corporation":false,"usgs":true,"family":"Maslia","given":"Morris","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":642244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suarez-Soto, Rene J.","contributorId":172841,"corporation":false,"usgs":false,"family":"Suarez-Soto","given":"Rene","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":642245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sautner, Jason B.","contributorId":172842,"corporation":false,"usgs":false,"family":"Sautner","given":"Jason","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":642246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Barbara A.","contributorId":67810,"corporation":false,"usgs":true,"family":"Anderson","given":"Barbara","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":642247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, L. Elliott 0000-0002-7394-2053 lejones@usgs.gov","orcid":"https://orcid.org/0000-0002-7394-2053","contributorId":4491,"corporation":false,"usgs":true,"family":"Jones","given":"L.","email":"lejones@usgs.gov","middleInitial":"Elliott","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":642248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Faye, Robert E.","contributorId":92221,"corporation":false,"usgs":true,"family":"Faye","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":642249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aral, Mustafa M.","contributorId":172843,"corporation":false,"usgs":false,"family":"Aral","given":"Mustafa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":642250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guan, Jiabao","contributorId":172844,"corporation":false,"usgs":false,"family":"Guan","given":"Jiabao","email":"","affiliations":[],"preferred":false,"id":642251,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jang, Wonyong","contributorId":172845,"corporation":false,"usgs":false,"family":"Jang","given":"Wonyong","email":"","affiliations":[],"preferred":false,"id":642252,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Telci, Ilker T.","contributorId":172846,"corporation":false,"usgs":false,"family":"Telci","given":"Ilker","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":642253,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Grayman, Walter M.","contributorId":172847,"corporation":false,"usgs":false,"family":"Grayman","given":"Walter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":642254,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bove, Frank J.","contributorId":172848,"corporation":false,"usgs":false,"family":"Bove","given":"Frank","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":642255,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ruckart, Perri Z.","contributorId":172849,"corporation":false,"usgs":false,"family":"Ruckart","given":"Perri","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":642256,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Moore, Susan M.","contributorId":172850,"corporation":false,"usgs":false,"family":"Moore","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":642257,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70045368,"text":"70045368 - 2013 - Simulation of three-dimensional groundwater flow","interactions":[],"lastModifiedDate":"2022-12-27T16:59:36.726588","indexId":"70045368","displayToPublicDate":"2013-03-06T06:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"A–Supplement 4","title":"Simulation of three-dimensional groundwater flow","docAbstract":"<div class=\"page\" title=\"Page 9\"><div class=\"layoutArea\"><div class=\"column\"><p><span></span><span>The purpose of the study described in this supplement&nbsp;of Chapter A (Supplement 4) is to construct, simulate, and calibrate a groundwater-flow model that represents the hydro</span><span>-</span><span>geologic framework and related groundwater-flow conditions described by Faye (2012) and Faye et al. (2013) within the vicinity of the Hadnot Point–Holcomb Boulevard (HPHB) study area, U.S. Marine Corp Base (USMCB) Camp Lejeune (Figure S4.1). Multiple variants of the groundwater-flow model were constructed and are described herein. The models simulate groundwater-flow conditions in the Brewster Boule</span><span>vard, Tarawa Terrace, and Upper and Middle Castle Hayne aquifer systems from January 1942 to June 2008. Much of the discussion and analyses described herein parallel and partially duplicate methods and approaches described in similar reports of groundwater-flow investigations at Tarawa Terrace (TT) and vicinity by Faye and Valenzuela (2007). Model results were eventually used within several contaminant fate and transport models described by Jones et al. (2013) and Jang et al. (2013) for the historical reconstruction of finished-water</span><span>3 </span><span>concen</span><span>trations within the service areas of the Hadnot Point and Holcomb Boulevard water treatment plants (HPWTP and HBWTP, respectively). This supplement focuses on the description of groundwater-flow model geometry, boundaries, hydraulic properties, calibration, and sensitivity analyses.&nbsp;</span></p></div></div></div>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Analyses and historical reconstruction of groundwater flow, contaminant fate and transport, and distribution of drinking water within the service areas of the Hadnot Point and Holcomb Boulevard water treatment plants and vicinities, U.S. Marine Corps Base Camp Lejeune, North Carolina","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Department of Health and Human Services, Agency for Toxic Substances and Disease Registry","publisherLocation":"Atlanta, GA","usgsCitation":"Suarez-Soto, R.J., Jones, L.E., and Maslia, M.L., 2013, Simulation of three-dimensional groundwater flow, vi, 56 p.","productDescription":"vi, 56 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044281","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":325120,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325118,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.atsdr.cdc.gov/sites/lejeune/hadnotpoint.html","linkFileType":{"id":5,"text":"html"}},{"id":325119,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://www.atsdr.cdc.gov/sites/lejeune/docs/Chapter_A_Supplement_4.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"North Carolina","otherGeospatial":"Camp Lejeune","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.40829467773438,\n              34.621342549943144\n            ],\n            [\n              -77.40829467773438,\n              34.773203753940734\n            ],\n            [\n              -77.28469848632812,\n              34.773203753940734\n            ],\n            [\n              -77.28469848632812,\n              34.621342549943144\n            ],\n            [\n              -77.40829467773438,\n              34.621342549943144\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dd035e4b0589fa1cbddc9","contributors":{"authors":[{"text":"Suarez-Soto, Rene J.","contributorId":172841,"corporation":false,"usgs":false,"family":"Suarez-Soto","given":"Rene","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":642260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, L. Elliott 0000-0002-7394-2053 lejones@usgs.gov","orcid":"https://orcid.org/0000-0002-7394-2053","contributorId":4491,"corporation":false,"usgs":true,"family":"Jones","given":"L.","email":"lejones@usgs.gov","middleInitial":"Elliott","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":642261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maslia, Morris L.","contributorId":71952,"corporation":false,"usgs":true,"family":"Maslia","given":"Morris","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":642262,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044442,"text":"70044442 - 2013 - Geologic evidence for onshore sediment transport from the inner continental shelf: Fire Island, New York","interactions":[],"lastModifiedDate":"2013-05-20T13:36:57","indexId":"70044442","displayToPublicDate":"2013-03-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Geologic evidence for onshore sediment transport from the inner continental shelf: Fire Island, New York","docAbstract":"Sediment budget analyses along the south shore of Fire Island, New York, have been conducted and debated in the scientific and coastal engineering literature for decades. It is well documented that a primary component of sediment transport in this system is directed alongshore from E to W, but discrepancies in volumetric sediment budget calculations remain. An additional quantity of sand, averaging about 200,000 m<sup>3</sup>/y is required to explain the growth of the western segment of the barrier island, a prograding spit. Littoral sediment derived from updrift erosion of the coast, addition of beach nourishment fill, and onshore transport of inner continental shelf, shoreface sediments, or both have all been proposed as potential sources of the additional sediment needed to balance the sediment budget deficit. Analysis of high-resolution seafloor mapping data collected in 2011, including seismic reflection profiles and inteferometric sonar acoustic backscatter and swath bathymetry; comparison with seafloor mapping data collected in 1996–1997; and shoreline change analysis from 1933 to 2011 support previous suggestions that the inner-shelf Holocene sedimentary deposit is a likely source to resolve this sediment budget discrepancy.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation (CERF)","publisherLocation":"Coconut Creek, FL","doi":"10.2112/JCOASTRES-D-12-00160.1","usgsCitation":"Schwab, W.C., Baldwin, W.E., Hapke, C.J., Lentz, E., Gayes, P.T., Denny, J.F., List, J., and Warner, J., 2013, Geologic evidence for onshore sediment transport from the inner continental shelf: Fire Island, New York: Journal of Coastal Research, v. 29, no. 3, p. 526-544, https://doi.org/10.2112/JCOASTRES-D-12-00160.1.","productDescription":"19 p.","startPage":"526","endPage":"544","numberOfPages":"19","additionalOnlineFiles":"N","ipdsId":"IP-039097","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":268821,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/JCOASTRES-D-12-00160.1"},{"id":268822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.3069,40.6204 ], [ -73.3069,40.779 ], [ -72.728,40.779 ], [ -72.728,40.6204 ], [ -73.3069,40.6204 ] ] ] } } ] }","volume":"29","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5138656be4b02c509e50c457","contributors":{"authors":[{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":475599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":475601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":475604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lentz, Erika E.","contributorId":105375,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika E.","affiliations":[],"preferred":false,"id":475606,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gayes, Paul T.","contributorId":86466,"corporation":false,"usgs":false,"family":"Gayes","given":"Paul","email":"","middleInitial":"T.","affiliations":[{"id":24750,"text":"Coastal Carolina University","active":true,"usgs":false}],"preferred":false,"id":475605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Denny, Jane F. 0000-0002-3472-618X jdenny@usgs.gov","orcid":"https://orcid.org/0000-0002-3472-618X","contributorId":418,"corporation":false,"usgs":true,"family":"Denny","given":"Jane","email":"jdenny@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":475600,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"List, Jeffrey H. jlist@usgs.gov","contributorId":2416,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey H.","email":"jlist@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":475602,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":475603,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70044443,"text":"70044443 - 2013 - Holocene sediment distribution on the inner continental shelf of northeastern South Carolina: implications for the regional sediment budget and long-term shoreline response","interactions":[],"lastModifiedDate":"2013-04-04T14:09:20","indexId":"70044443","displayToPublicDate":"2013-03-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Holocene sediment distribution on the inner continental shelf of northeastern South Carolina: implications for the regional sediment budget and long-term shoreline response","docAbstract":"High-resolution geophysical and sediment sampling surveys were conducted offshore of the Grand Strand, South Carolina to define the shallow geologic framework of the inner shelf. Results are used to identify and map Holocene sediment deposits, infer sediment transport pathways, and discuss implications for the regional coastal sediment budget. The thickest deposits of Holocene sediment observed on the inner shelf form shoal complexes composed of moderately sorted fine sand, which are primarily located offshore of modern tidal inlets. These shoal deposits contain ~67 M m<sup>3</sup> of sediment, approximately 96% of Holocene sediment stored on the inner shelf. Due to the lack of any significant modern fluvial input of sand to the region, the Holocene deposits are likely derived from reworking of relict Pleistocene and older inner-shelf deposits during the Holocene marine transgression. The Holocene sediments are concentrated in the southern part of the study area, due to a combination of ancestral drainage patterns, a regional shift in sediment supply from the northeast to the southwest in the late Pleistocene, and proximity to modern inlet systems. Where sediment is limited, only small, low relief ridges have formed and Pleistocene and older deposits are exposed on the seafloor. The low-relief ridges are likely the result of a thin, mobile veneer of sediment being transported across an irregular, erosional surface formed during the last transgression. Sediment textural trends and seafloor morphology indicate a long-term net transport of sediment to the southwest. This is supported by oceanographic studies that suggest the long-term sediment transport direction is controlled by the frequency and intensity of storms that pass through the region, where low pressure systems yield net along-shore flow to the southwest and a weak onshore component. Current sediment budget estimates for the Grand Strand yield a deficit for the region. Volume calculations of Holocene deposits on the inner shelf suggest that there is sufficient sediment to balance the sediment budget and provide a source of sediment to the shoreline. Although the processes controlling cross-shelf sediment transport are not fully understood, in sediment-limited environments such as the Grand Strand, erosion of the inner shelf likely contributes significant sediment to the beach system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Continental Shelf Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.csr.2013.02.004","usgsCitation":"Denny, J.F., Schwab, W.C., Baldwin, W.E., Barnhardt, W., Gayes, P.T., Morton, R., Warner, J., Driscoll, N.W., and Voulgaris, G., 2013, Holocene sediment distribution on the inner continental shelf of northeastern South Carolina: implications for the regional sediment budget and long-term shoreline response: Continental Shelf Research, v. 56, p. 56-70, https://doi.org/10.1016/j.csr.2013.02.004.","productDescription":"15 p.","startPage":"56","endPage":"70","ipdsId":"IP-032895","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473921,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/6021","text":"External Repository"},{"id":268827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268823,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.csr.2013.02.004"}],"country":"United States","state":"South Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.35,32.0 ], [ -83.35,35.22 ], [ -78.54,35.22 ], [ -78.54,32.0 ], [ -83.35,32.0 ] ] ] } } ] }","volume":"56","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5138656ce4b02c509e50c45f","contributors":{"authors":[{"text":"Denny, Jane F. 0000-0002-3472-618X jdenny@usgs.gov","orcid":"https://orcid.org/0000-0002-3472-618X","contributorId":418,"corporation":false,"usgs":true,"family":"Denny","given":"Jane","email":"jdenny@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":475608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":475607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":475609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhardt, Walter A.","contributorId":80656,"corporation":false,"usgs":true,"family":"Barnhardt","given":"Walter A.","affiliations":[],"preferred":false,"id":475614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gayes, Paul T.","contributorId":86466,"corporation":false,"usgs":false,"family":"Gayes","given":"Paul","email":"","middleInitial":"T.","affiliations":[{"id":24750,"text":"Coastal Carolina University","active":true,"usgs":false}],"preferred":false,"id":475615,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morton, R.A.","contributorId":53849,"corporation":false,"usgs":true,"family":"Morton","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":475612,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":475610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Driscoll, Neal W.","contributorId":63266,"corporation":false,"usgs":true,"family":"Driscoll","given":"Neal","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":475613,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":475611,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70044431,"text":"70044431 - 2013 - Characterizing wave- and current- induced bottom shear stress: U.S. middle Atlantic continental shelf","interactions":[],"lastModifiedDate":"2013-03-06T14:29:51","indexId":"70044431","displayToPublicDate":"2013-03-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing wave- and current- induced bottom shear stress: U.S. middle Atlantic continental shelf","docAbstract":"Waves and currents create bottom shear stress, a force at the seabed that influences sediment texture distribution, micro-topography, habitat, and anthropogenic use. This paper presents a methodology for assessing the magnitude, variability, and driving mechanisms of bottom stress and resultant sediment mobility on regional scales using numerical model output. The analysis was applied to the Middle Atlantic Bight (MAB), off the U.S. East Coast, and identified a tidally-dominated shallow region with relatively high stress southeast of Massachusetts over Nantucket Shoals, where sediment mobility thresholds are exceeded over 50% of the time; a coastal band extending offshore to about 30 m water depth dominated by waves, where mobility occurs more than 20% of the time; and a quiescent low stress region southeast of Long Island, approximately coincident with an area of fine-grained sediments called the “Mud Patch”. The regional high in stress and mobility over Nantucket Shoals supports the hypothesis that fine grain sediment winnowed away in this region maintains the Mud Patch to the southwest. The analysis identified waves as the driving mechanism for stress throughout most of the MAB, excluding Nantucket Shoals and sheltered coastal bays where tides dominate; however, the relative dominance of low-frequency events varied regionally, and increased southward toward Cape Hatteras. The correlation between wave stress and local wind stress was lowest in the central MAB, indicating a relatively high contribution of swell to bottom stress in this area, rather than locally generated waves. Accurate prediction of the wave energy spectrum was critical to produce good estimates of bottom shear stress, which was sensitive to energy in the long period waves.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Continental Shelf Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.csr.2012.10.012","usgsCitation":"Dalyander, P., Butman, B., Sherwood, C.R., Signell, R.P., and Wilkin, J.L., 2013, Characterizing wave- and current- induced bottom shear stress: U.S. middle Atlantic continental shelf: Continental Shelf Research, v. 52, p. 73-86, https://doi.org/10.1016/j.csr.2012.10.012.","productDescription":"14 p.","startPage":"73","endPage":"86","ipdsId":"IP-034391","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473922,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5817","text":"External Repository"},{"id":268819,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.csr.2012.10.012"},{"id":268820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51386562e4b02c509e50c453","contributors":{"authors":[{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":65177,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","affiliations":[],"preferred":false,"id":475583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, Bradford 0000-0002-4174-2073 bbutman@usgs.gov","orcid":"https://orcid.org/0000-0002-4174-2073","contributorId":943,"corporation":false,"usgs":true,"family":"Butman","given":"Bradford","email":"bbutman@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":475579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":475581,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Signell, Richard P. rsignell@usgs.gov","contributorId":1435,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":475580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilkin, John L. 0000-0002-5444-9466","orcid":"https://orcid.org/0000-0002-5444-9466","contributorId":28872,"corporation":false,"usgs":true,"family":"Wilkin","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":475582,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044452,"text":"sir20125007 - 2013 - Groundwater hydrology and estimation of horizontal groundwater flux from the Rio Grande at selected locations in Albuquerque, New Mexico, 2003-9","interactions":[],"lastModifiedDate":"2013-03-06T14:59:36","indexId":"sir20125007","displayToPublicDate":"2013-03-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5007","title":"Groundwater hydrology and estimation of horizontal groundwater flux from the Rio Grande at selected locations in Albuquerque, New Mexico, 2003-9","docAbstract":"The Albuquerque, New Mexico, area has two principal sources of water: groundwater from the Santa Fe Group aquifer system and surface water from the San Juan-Chama Diversion Project. From 1960 to 2002, groundwater withdrawals from the Santa Fe Group aquifer system have caused water levels to decline more than 120 feet in some places within the Albuquerque area, resulting in a great deal of interest in quantifying the river-aquifer interaction associated with the Rio Grande.\n\nIn 2003, the U.S. Geological Survey in cooperation with the Bureau of Reclamation, the Middle Rio Grande Endangered Species Collaborative Program, and the U.S. Army Corps of Engineers began a detailed characterization of the hydrogeology of the Rio Grande riparian corridor in the Albuquerque, New Mexico, area to provide hydrologic data and enhance the understanding of rates of water leakage from the Rio Grande to the alluvial aquifer, groundwater flow through the aquifer, and discharge of water from the aquifer to the riverside drains.\n\nA simple conceptual model of flow indicates that the groundwater table gently slopes from the Rio Grande towards riverside drains and the outer boundaries of the inner valley. Water infiltrating from the Rio Grande initially moves vertically below the river, but, as flow spreads farther into the Rio Grande inner valley alluvial aquifer, flow becomes primarily horizontal. The slope of the water-table surface may be strongly controlled by the riverside drains and influenced by other more distal hydrologic boundary conditions, such as groundwater withdrawals by wells.\n\nResults from 35 slug tests performed in the Rio Grande inner valley alluvial aquifer during January and February 2009 indicate that hydraulic-conductivity values ranged from 5 feet per day to 160 feet per day with a median hydraulic-conductivity for all transects of 40 feet per day. Median annual horizontal hydraulic gradients in the Rio Grande inner valley alluvial aquifer ranged from 0.011 to 0.002.\n\nGroundwater fluxes through the alluvial aquifer calculated by using median slug-test results (qm<sub>slug</sub>) and Darcy's law ranged from about 0.1 feet per day to about 0.7 feet per day. Groundwater fluxes calculated by using the Suzuki-Stallman method (qm<sub>heat</sub>) ranged from 0.52 feet per day to 0.23 feet per day.\n\nResults from the Darcy's law and Suzuki-Stallman flux calculations were compared to discharge measured in riverside drains on both sides of the river north of the Montaño Bridge on February 26, 2009. Flow in the Corrales Riverside Drain increased by 1.4 cubic feet per second from mile 2 to mile 4, about 12 cubic feet per day per linear foot of drain. Flow in the Albuquerque Riverside Drain increased by 15 cubic feet per second between drain miles 0 and 3, about 82 cubic feet per day per linear foot of drain.\n\nThe flux of water from the river to the aquifer was calculated to be 2.2 cubic feet per day per linear foot of river by using the median qm<sub>slug</sub> of 0.09 feet per day at Montaño transects west of the river. The total flux was calculated to be 6.0 cubic feet per day per linear foot of river by using the mean(qm<sub>heat</sub>  of 0.24 feet per day for the Montaño transects west of the river. Assuming the Corrales Riverside Drain intercepted all of this flow, the qm<sub>slug</sub> or qm<sub>heat</sub> fluxes account for 18 to 50 percent, respectively, of the increase of flow in the drain. The flux of water from the river to the aquifer was calculated to be 15 cubic feet per day per linear foot of river by using the median qm<sub>slug</sub> of 0.30 feet per day at the Montaño transects east of the river. The flux of water from the river to the aquifer was calculated to be 17 cubic feet per day per linear foot of river by using the mean flux calculated from the Suzuki-Stallman method for the Montaño East transects of 0.34 feet per day. Assuming the Albuquerque Riverside Drain intercepted all this flow, the qm<sub>slug</sub> or (qm<sub>heat</sub> fluxes would only account for 18 to 21 percent, respectively, of the increase in flow in the drain.\n\nThe comparison of these results with those of previous investigations suggests that calculated flux through the Rio Grande inner valley alluvial aquifer is strongly scale dependent and that the thickness of aquifer through which river water flows may be greater than indicated by the vertical temperature profiles.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125007","usgsCitation":"Rankin, D.R., McCoy, K.J., More, G.J., Worthington, J.A., and Bandy-Baldwin, K., 2013, Groundwater hydrology and estimation of horizontal groundwater flux from the Rio Grande at selected locations in Albuquerque, New Mexico, 2003-9: U.S. Geological Survey Scientific Investigations Report 2012-5007, vii, 66 p., https://doi.org/10.3133/sir20125007.","productDescription":"vii, 66 p.","numberOfPages":"75","onlineOnly":"Y","temporalStart":"2003-10-01","temporalEnd":"2009-12-31","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":268826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5007.gif"},{"id":268825,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5007/"},{"id":268824,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5007/SIR2012-5007.pdf"}],"state":"New Mexico","city":"Albuquerque","otherGeospatial":"Santa Fe Group Aquifer System","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.881796,34.946766 ], [ -106.881796,35.218054 ], [ -106.471163,35.218054 ], [ -106.471163,34.946766 ], [ -106.881796,34.946766 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5138656be4b02c509e50c45b","contributors":{"authors":[{"text":"Rankin, Dale R.","contributorId":50924,"corporation":false,"usgs":true,"family":"Rankin","given":"Dale","email":"","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":false,"id":475646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":475643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"More, Geoff J.M.","contributorId":94181,"corporation":false,"usgs":true,"family":"More","given":"Geoff","email":"","middleInitial":"J.M.","affiliations":[],"preferred":false,"id":475647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Worthington, Jeffrey A.","contributorId":19450,"corporation":false,"usgs":true,"family":"Worthington","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":475644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bandy-Baldwin, Kimberly M.","contributorId":23409,"corporation":false,"usgs":true,"family":"Bandy-Baldwin","given":"Kimberly M.","affiliations":[],"preferred":false,"id":475645,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044444,"text":"70044444 - 2013 - Introduction to the special issue on ‘Frontiers in gas geochemistry’","interactions":[],"lastModifiedDate":"2013-03-06T15:24:01","indexId":"70044444","displayToPublicDate":"2013-03-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to the special issue on ‘Frontiers in gas geochemistry’","docAbstract":"The study of the geochemistry of gases pervades the Earth and Environmental Sciences. This is due in no small measure to the well-established thermodynamic properties of gases which allow their application to a variety of processes occurring over a wide spectrum of natural conditions. In this respect, both major and associated minor gases have been proven useful: indeed, the trace gases have been particularly important given their role as sensitive geochemical tracers. Examples where gas geochemistry places key constraints on geochemical processes include the degassing history of the solid Earth to form the atmosphere and oceans, the origin and migration characteristics of hydrocarbon deposits, the scale of climate variability, the P–T characteristics of geothermal reservoirs, and the dynamics of the earthquake cycle and volcanic activity, to name but a few. This volume continues this rich tradition with an eclectic selection of papers aimed at exploring and exploiting gas geochemistry over a myriad set of research themes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.chemgeo.2012.10.038","usgsCitation":"Hilton, D., Fischer, T.P., and Kulongoski, J., 2013, Introduction to the special issue on ‘Frontiers in gas geochemistry’: Chemical Geology, v. 339, p. 1-3, https://doi.org/10.1016/j.chemgeo.2012.10.038.","productDescription":"3 p.","startPage":"1","endPage":"3","ipdsId":"IP-042036","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":268829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268828,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2012.10.038"}],"volume":"339","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5138656de4b02c509e50c463","contributors":{"authors":[{"text":"Hilton, David R.","contributorId":80134,"corporation":false,"usgs":true,"family":"Hilton","given":"David R.","affiliations":[],"preferred":false,"id":475617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischer, Tobias P.","contributorId":12754,"corporation":false,"usgs":true,"family":"Fischer","given":"Tobias","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":475616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":475618,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044414,"text":"ofr20131028 - 2013 - Mapping bedrock surface contours using the horizontal-to-vertical spectral ratio (HVSR) method near the middle quarter srea, Woodbury, Connecticut","interactions":[],"lastModifiedDate":"2013-03-05T14:05:56","indexId":"ofr20131028","displayToPublicDate":"2013-03-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1028","title":"Mapping bedrock surface contours using the horizontal-to-vertical spectral ratio (HVSR) method near the middle quarter srea, Woodbury, Connecticut","docAbstract":"The bedrock surface contours in Woodbury, Connecticut, were determined downgradient of a commercial zone known as the Middle Quarter area (MQA) using the novel, noninvasive horizontal-to-vertical (H/V) spectral ratio (HVSR) passive seismic geophysical method. Boreholes and monitoring wells had been drilled in this area to characterize the shallow subsurface to within 20 feet (ft) of the land surface, but little was known about the deep subsurface, including sediment thicknesses and depths to bedrock (Starn and Brown, 2007; Brown and others, 2009). Improved information on the altitude of the bedrock surface and its spatial variation was needed for assessment and remediation of chlorinated solvents that have contaminated the overlying glacial aquifer that supplies water to wells in the area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131028","collaboration":"Prepared in cooperation with the town of Woodbury, Connecticut","usgsCitation":"Brown, C., Voytek, E.B., Lane, J.W., and Stone, J.R., 2013, Mapping bedrock surface contours using the horizontal-to-vertical spectral ratio (HVSR) method near the middle quarter srea, Woodbury, Connecticut: U.S. Geological Survey Open-File Report 2013-1028, 4 p., https://doi.org/10.3133/ofr20131028.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":467,"text":"New England Water Science Center Connecticut Office","active":false,"usgs":true}],"links":[{"id":268788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131028.gif"},{"id":268786,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1028/"},{"id":268787,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1028/pdf/ofr2013-1028_brown_508.pdf"}],"country":"United States","state":"Connecticut","city":"Woodbury","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.267336,41.508527 ], [ -73.267336,41.612696 ], [ -73.145155,41.612696 ], [ -73.145155,41.508527 ], [ -73.267336,41.508527 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513713f9e4b02ab8869bff9f","contributors":{"authors":[{"text":"Brown, Craig J.","contributorId":104450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[],"preferred":false,"id":475550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voytek, Emily B. 0000-0003-0981-453X ebvoytek@usgs.gov","orcid":"https://orcid.org/0000-0003-0981-453X","contributorId":3575,"corporation":false,"usgs":true,"family":"Voytek","given":"Emily","email":"ebvoytek@usgs.gov","middleInitial":"B.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":475549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":475548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Janet Radway jrstone@usgs.gov","contributorId":1695,"corporation":false,"usgs":true,"family":"Stone","given":"Janet","email":"jrstone@usgs.gov","middleInitial":"Radway","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":475547,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044419,"text":"sir20105090J - 2013 - Descriptive models, grade-tonnage relations, and databases for the assessment of sediment-hosted copper deposits: with emphasis on deposits in the Central Africa Copperbelt, Democratic Republic of the Congo and Zambia: Chapter J in <i>Global mineral resource assessment</i>","interactions":[{"subject":{"id":70044419,"text":"sir20105090J - 2013 - Descriptive models, grade-tonnage relations, and databases for the assessment of sediment-hosted copper deposits: with emphasis on deposits in the Central Africa Copperbelt, Democratic Republic of the Congo and Zambia: Chapter J in <i>Global mineral resource assessment</i>","indexId":"sir20105090J","publicationYear":"2013","noYear":false,"chapter":"J","title":"Descriptive models, grade-tonnage relations, and databases for the assessment of sediment-hosted copper deposits: with emphasis on deposits in the Central Africa Copperbelt, Democratic Republic of the Congo and Zambia: Chapter J in <i>Global mineral resource assessment</i>"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2018-02-21T17:48:40","indexId":"sir20105090J","displayToPublicDate":"2013-03-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5090","chapter":"J","title":"Descriptive models, grade-tonnage relations, and databases for the assessment of sediment-hosted copper deposits: with emphasis on deposits in the Central Africa Copperbelt, Democratic Republic of the Congo and Zambia: Chapter J in <i>Global mineral resource assessment</i>","docAbstract":"<p>The Central African Copperbelt (CACB) is one of the most important copper-producing regions of the world. The majority of copper produced in Africa comes from this region defined by the Neoproterozoic Katanga sedimentary basin of the southern Democratic Republic of the Congo (DRC) and northern Zambia. Copper in the CACB is mined from sediment-hosted stratabound copper deposits associated with red beds and includes the giant deposits in the Kolwezi and Tenge-Fungurume districts in the DRC and the Konkola-Musoshi and Nchanga-Chingola districts in Zambia. In recent years, sediment-hosted structurally controlled replacement and vein (SCRV) copper deposits, such as the giant Kansanshi deposit in Zambia have become important exploration targets in the CACB region.</p>\n<p>In 2011, the CACB accounted for 7.2 percent of the estimated global mine production of copper. Global production of copper is principally derived from porphyry and sediment-hosted copper deposits (57 and 23 percent, respectively). Almost 50 percent of the copper known to exist in sediment-hosted deposits (past production plus identified resources) is contained in the CACB, 25 percent is contained in the Zechstein Basin of northern Europe, and the remainder is contained in an additional 29 sedimentary basins distributed around the globe.</p>\n<p>The U.S. Geological Survey (USGS) led an assessment of undiscovered copper resources in the CACB as part of a global mineral resource assessment for undiscovered resources of potash, copper, and platinum-group elements in selected mineral deposit types. As part of the assessment process, available data for the CACB were compiled and evaluated. This report describes the results of that work, including new descriptive mineral-deposit and grade and tonnage models and spatial databases for deposits and occurrences, ore bodies and open pits.</p>\n<p>Chapter 1 of this report summarizes a descriptive model of sediment-hosted stratabound copper deposits. General characteristics and subtypes of sediment-hosted stratabound copper deposits are described based upon worldwide examples. Chapter 2 provides a global database of 170 sediment-hosted copper deposits, along with a statistical evaluation of grade and tonnage data for stratabound deposits, a comparison of stratabound deposits in the CACB with those found elsewhere, a discussion of the distinctive characteristics of the subtypes of sediment-hosted copper deposits that occur within the CACB, and guidelines for using grade and tonnage distributions for assessment of undiscovered resources in sediment-hosted stratabound deposits in the CACB. Chapter 3 presents a new descriptive model of sediment-hosted structurally controlled replacement and vein (SCRV) copper deposits with descriptions of individual deposits of this type in the CACB and elsewhere. Appendix A describes a relational database of tonnage, grade, and other information for more than 100 sediment-hosted copper deposits in the CACB. These data are used to calculate the pre-mining mineral endowment for individual deposits in the CACB and serve as the basis for the grade and tonnage models presented in chapter 2. Appendix B describes three spatial databases (Esri shapefiles) for (1) point locations of more than 500 sediment-hosted copper deposits and prospects, (2) projected surface extent of 86 selected copper ore bodies, and (3) areal extent of 77 open pits, all within the CACB.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment (Scientific Investigations Report 2010-5090)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090J","usgsCitation":"Taylor, C.D., Causey, J.D., Denning, P., Hammarstrom, J.M., Hayes, T.S., Horton, J.D., Kirschbaum, M.J., Parks, H.L., Wilson, A.B., Wintzer, N.E., and Zientek, M.L., 2013, Descriptive models, grade-tonnage relations, and databases for the assessment of sediment-hosted copper deposits: with emphasis on deposits in the Central Africa Copperbelt, Democratic Republic of the Congo and Zambia: Chapter J in <i>Global mineral resource assessment</i>: U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: xiv, 154 p.; Table 2-1; Appendixes A and B, https://doi.org/10.3133/sir20105090J.","productDescription":"Report: xiv, 154 p.; Table 2-1; Appendixes A and B","startPage":"i","endPage":"154","numberOfPages":"172","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":268805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5090_J.gif"},{"id":268802,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2010/5090/j/sir2010-5090j_table_2-1.xlsx","text":"Table 2-1","size":"0.1 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 2-1"},{"id":268803,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2010/5090/j/sir2010-5090j_DB.zip","text":"Appendix A Database","size":"1.9 MB","linkFileType":{"id":6,"text":"zip"},"description":"Appendix A"},{"id":268800,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5090/j/"},{"id":268801,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/j/sir2010-5090j_text.pdf","text":"Report","size":"20.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":268804,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2010/5090/j/sir2010-5090j_GIS.zip","text":"Appendix B GIS","size":"0.8 MB","linkFileType":{"id":6,"text":"zip"},"description":"Appendix B"}],"country":"Democratic Republic of the Congo, Zambia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 11.1,-18.1 ], [ 11.1,3.7 ], [ 33.7,3.7 ], [ 33.7,-18.1 ], [ 11.1,-18.1 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513713e2e4b02ab8869bff8f","contributors":{"authors":[{"text":"Taylor, Cliff D. 0000-0001-6376-6298 ctaylor@usgs.gov","orcid":"https://orcid.org/0000-0001-6376-6298","contributorId":1283,"corporation":false,"usgs":true,"family":"Taylor","given":"Cliff","email":"ctaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Causey, J. Douglas","contributorId":41398,"corporation":false,"usgs":true,"family":"Causey","given":"J.","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":475568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denning, Paul pdenning@usgs.gov","contributorId":168842,"corporation":false,"usgs":true,"family":"Denning","given":"Paul","email":"pdenning@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayes, Timothy S. thayes@usgs.gov","contributorId":1547,"corporation":false,"usgs":true,"family":"Hayes","given":"Timothy","email":"thayes@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":475563,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Horton, John D. 0000-0003-2969-9073 jhorton@usgs.gov","orcid":"https://orcid.org/0000-0003-2969-9073","contributorId":1227,"corporation":false,"usgs":true,"family":"Horton","given":"John","email":"jhorton@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475561,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kirschbaum, Michael J.","contributorId":63115,"corporation":false,"usgs":true,"family":"Kirschbaum","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475569,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Parks, Heather L. 0000-0002-5917-6866 hparks@usgs.gov","orcid":"https://orcid.org/0000-0002-5917-6866","contributorId":4989,"corporation":false,"usgs":true,"family":"Parks","given":"Heather","email":"hparks@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":475566,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilson, Anna B. 0000-0002-9737-2614 awilson@usgs.gov","orcid":"https://orcid.org/0000-0002-9737-2614","contributorId":1619,"corporation":false,"usgs":true,"family":"Wilson","given":"Anna","email":"awilson@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475564,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wintzer, Niki E. 0000-0003-3085-435X nwintzer@usgs.gov","orcid":"https://orcid.org/0000-0003-3085-435X","contributorId":5297,"corporation":false,"usgs":true,"family":"Wintzer","given":"Niki","email":"nwintzer@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":475567,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":475565,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70044415,"text":"sir20125287 - 2013 - Nutrient concentrations in surface water and groundwater, and nitrate source identification using stable isotope analysis, in the Barnegat Bay-Little Egg Harbor watershed, New Jersey, 2010–11","interactions":[],"lastModifiedDate":"2013-03-15T13:02:46","indexId":"sir20125287","displayToPublicDate":"2013-03-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5287","title":"Nutrient concentrations in surface water and groundwater, and nitrate source identification using stable isotope analysis, in the Barnegat Bay-Little Egg Harbor watershed, New Jersey, 2010–11","docAbstract":"Five streams in the Barnegat Bay-Little Egg Harbor (BB-LEH) watershed in southern New Jersey were sampled for nutrient concentrations and stable isotope composition under base-flow and stormflow conditions, and during the growing and nongrowing seasons, to help quantify and identify sources of nutrient loading. Samples were analyzed for concentrations of total nitrogen, ammonia, nitrate plus nitrite, organic nitrogen, total phosphorus, and orthophosphate, and for nitrogen and oxygen stable isotope ratios. Concentrations of total nitrogen in the five streams appear to be related to land use, such that streams in subbasins characterized by extensive urban development (and historical agricultural land use)—North Branch Metedeconk and Toms Rivers—exhibited the highest total nitrogen concentrations (0.84–1.36 milligrams per liter (mg/L) in base flow). Base-flow total nitrogen concentrations in these two streams were dominated by nitrate; nitrate concentrations decreased during storm events as a result of dilution by storm runoff. The two streams in subbasins with the least development—Cedar Creek and Westecunk Creek—exhibited the lowest total nitrogen concentrations (0.16–0.26 mg/L in base flow), with organic nitrogen as the dominant species in both base flow and stormflow. A large proportion of these subbasins lies within forested parts of the Pinelands Area, indicating the likelihood of natural inputs of organic nitrogen to the streams that increase during periods of storm runoff. Base-flow total nitrogen concentrations in Mill Creek, in a moderately developed basin, were 0.43 to 0.62 mg/L and were dominated by ammonia, likely associated with leachate from a landfill located upstream. Total phosphorus and orthophosphate were not found at detectable concentrations in most of the surface-water samples, with the exception of samples collected from the North Branch Metedeconk River, where concentrations ranged from 0.02 to 0.09 mg/L for total phosphorus and 0.008 to 0.011 mg/L for orthophosphate. Measurements of nitrogen and oxygen stable isotope ratios of nitrate in surface-water samples revealed that a mixture of multiple subsurface sources, which may include some combination of animal and septic waste, soil nitrogen, and commercial fertilizers, likely contribute to the base-flow nitrogen load. The results also indicate that atmospheric deposition is not a predominant source of nitrogen transported to the BB-LEH estuary from the watershed, although the contribution of nitrate from the atmosphere increases during stormflow. Atmospheric deposition of nitrate has a greater influence in the less developed subbasins within the BB-LEH watershed, likely because few other major sources of nitrogen (animal and septic waste, fertilizers) are present in the less developed subbasins. Atmospheric sources appear to contribute proportionally less of the overall nitrate as development increases within the BB-LEH watershed. Groundwater samples collected from five wells located within the BB-LEH watershed and screened in the unconfined Kirkwood-Cohansey aquifer system were analyzed for nutrient and stable isotope composition. Concentrations of nitrate ranged from not detected to 3.63 mg/L, with the higher concentrations occurring in the highly developed northern portion of the watershed, indicating the likelihood of anthropogenic sources of nitrogen. Isotope data for the two wells with the highest nitrate concentrations are more consistent with fertilizer sources than with animal or septic waste. Total phosphorus was not detected in any of the wells sampled, and orthophosphate was either not detected or measured at very low concentrations (0.005–0.009 mg/L) in each of the wells sampled.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125287","collaboration":"Prepared in cooperation with the Barnegat Bay Partnership","usgsCitation":"Wieben, C.M., Baker, R.J., and Nicholson, R.S., 2013, Nutrient concentrations in surface water and groundwater, and nitrate source identification using stable isotope analysis, in the Barnegat Bay-Little Egg Harbor watershed, New Jersey, 2010–11: U.S. Geological Survey Scientific Investigations Report 2012-5287, v, 44 p., https://doi.org/10.3133/sir20125287.","productDescription":"v, 44 p.","startPage":"i","endPage":"44","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":268794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5287.png"},{"id":268792,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5287/"},{"id":268793,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5287/support/sir2012-5287.pdf"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay;Little Egg Harbor","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.56,38.93 ], [ -75.56,41.36 ], [ -73.9,41.36 ], [ -73.9,38.93 ], [ -75.56,38.93 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513713fbe4b02ab8869bffa7","contributors":{"authors":[{"text":"Wieben, Christine M. 0000-0001-5825-5119 cwieben@usgs.gov","orcid":"https://orcid.org/0000-0001-5825-5119","contributorId":4270,"corporation":false,"usgs":true,"family":"Wieben","given":"Christine","email":"cwieben@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Ronald J. rbaker@usgs.gov","contributorId":1436,"corporation":false,"usgs":true,"family":"Baker","given":"Ronald","email":"rbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicholson, Robert S. rnichol@usgs.gov","contributorId":2283,"corporation":false,"usgs":true,"family":"Nicholson","given":"Robert","email":"rnichol@usgs.gov","middleInitial":"S.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475552,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044413,"text":"sir20125188 - 2013 - Metal prices in the United States through 2010","interactions":[],"lastModifiedDate":"2013-03-05T14:10:09","indexId":"sir20125188","displayToPublicDate":"2013-03-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5188","title":"Metal prices in the United States through 2010","docAbstract":"This report, which updates and revises the U.S. Geological Survey (USGS) (1999) publication, “Metal Prices in the United States Through 1998,” presents an extended price history for a wide range of metals available in a single document. Such information can be useful for the analysis of mineral commodity issues, as well as for other purposes. The chapter for each mineral commodity includes a graph of annual current and constant dollar prices for 1970 through 2010, where available; a list of significant events that affected prices; a brief discussion of the metal and its history; and one or more tables that list current dollar prices.  In some cases, the metal prices presented herein are for some alternative form of an element or, instead of a price, a value, such as the value for an import as appraised by the U.S. Customs Service. Also included are the prices for steel, steel scrap, and iron ore—steel because of its importance to the elements used to alloy with it, and steel scrap and iron ore because of their use in steelmaking. A few minor metals, such as calcium, potassium, sodium, strontium, and thorium, for which price histories were insufficient, were excluded.  The annual prices given may be averages for the year, yearend prices, or some other price as appropriate for a particular commodity. Certain trade journals have been the source of much of this price information—American Metal Market, ICIS Chemical Business, Engineering and Mining Journal, Industrial Minerals, Metal Bulletin, Mining Journal, Platts Metals Week, Roskill Information Services Ltd. commodity reports, and Ryan’s Notes. Price information also is available in minerals information publications of the USGS (1880–1925, 1996–present) and the U.S. Bureau of Mines (1926–95), such as Mineral Commodity Summaries, Mineral Facts and Problems, Mineral Industry Surveys, and Minerals Yearbook. In addition to prices themselves, these journals and publications contain information relevant to prices, which has been helpful in the preparation of this publication.  Prices in this report have been graphed in 1992 constant dollars to show the effects of inflation as measured by the U.S. Bureau of Labor Statistics Consumer Price Index for All Urban Consumers, a widely used measure of overall inflation in the United States. These prices are not tabulated, but a table of the deflators used is given in an appendix. Constant dollar prices can be used to show how prices that producers receive would have less purchasing power.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125188","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2013, Metal prices in the United States through 2010: U.S. Geological Survey Scientific Investigations Report 2012-5188, vi, 206 p., https://doi.org/10.3133/sir20125188.","productDescription":"vi, 206 p.","numberOfPages":"214","onlineOnly":"Y","costCenters":[{"id":389,"text":"Minerals Commodity Section","active":false,"usgs":true}],"links":[{"id":268791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125188.gif"},{"id":268789,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5188/"},{"id":268790,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5188/sir2012-5188.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513713fae4b02ab8869bffa3","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535451,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044411,"text":"sim3241 - 2013 - Flood-inundation maps for the Flatrock River at Columbus, Indiana, 2012","interactions":[],"lastModifiedDate":"2013-03-05T13:56:27","indexId":"sim3241","displayToPublicDate":"2013-03-05T00:00:00","publicationYear":"2013","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":"3241","title":"Flood-inundation maps for the Flatrock River at Columbus, Indiana, 2012","docAbstract":"Digital flood-inundation maps for a 5-mile reach of the Flatrock River on the western side of Columbus, Indiana, from County Road 400N to the river mouth at the confluence with Driftwood River, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ and the Federal Flood Inundation Mapper Web site at http://wim.usgs.gov/FIMI/FloodInundationMapper.html, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Flatrock River at Columbus (station number 03363900). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service, which also presents the USGS data, at http:/water.weather.gov/ahps/. Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the most current stage-discharge relation at the Flatrock River streamgage, high-water marks that were surveyed following the flood of June 7, 2008, and water-surface profiles from the current flood-insurance study for the City of Columbus. The hydraulic model was then used to compute 12 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from 9 ft or near bankfull to 20 ft, which exceeds the stages that correspond to both the estimated 0.2-percent annual exceedance probability flood (500-year recurrence interval flood) and the maximum recorded peak flow. The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from Light Detection and Ranging (LiDAR) data having a 0.37 ft vertical accuracy and 3.9 ft horizontal resolution) to delineate the area flooded at each water level. The availability of these maps on the USGS Federal Flood Inundation Mapper Web site, along with Internet information regarding current stage from the USGS streamgage, will provide emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3241","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Coon, W.F., 2013, Flood-inundation maps for the Flatrock River at Columbus, Indiana, 2012: U.S. Geological Survey Scientific Investigations Map 3241, Maps: 12 Sheets: 17 x 22 inches; Pamphlet: vi, 12 p., https://doi.org/10.3133/sim3241.","productDescription":"Maps: 12 Sheets: 17 x 22 inches; Pamphlet: vi, 12 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":268785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3241.png"},{"id":268770,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3241/"},{"id":268780,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3241/downloads/map_sheets/sim3241-sheet9_626_74ft.pdf"},{"id":268781,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3241/downloads/map_sheets/sim3241-sheet10_627_74ft.pdf"},{"id":268771,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3241/downloads/sim3241-pamphlet.pdf"},{"id":268772,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3241/downloads/map_sheets/sim3241-sheet1_618_74ft.pdf"},{"id":268773,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3241/downloads/map_sheets/sim3241-sheet2_619_74ft.pdf"},{"id":268774,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3241/downloads/map_sheets/sim3241-sheet3_620_74ft.pdf"},{"id":268775,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3241/downloads/map_sheets/sim3241-sheet4_621_74ft.pdf"},{"id":268776,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3241/downloads/map_sheets/sim3241-sheet5_622_74ft.pdf"},{"id":268777,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3241/downloads/map_sheets/sim3241-sheet6_623_74ft.pdf"},{"id":268778,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3241/downloads/map_sheets/sim3241-sheet7_624_74ft.pdf"},{"id":268779,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3241/downloads/map_sheets/sim3241-sheet8_625_74ft.pdf"},{"id":268784,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3241/downloads/map_sheets/sim3241-sheet12_629_74ft.pdf"},{"id":268783,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3241/downloads/map_sheets/sim3241-sheet11_628_74ft.pdf"}],"country":"United States","state":"Indiana","city":"Columbus","otherGeospatial":"Flatrock River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.006,39.1206 ], [ -86.006,39.2745 ], [ -85.793,39.2745 ], [ -85.793,39.1206 ], [ -86.006,39.1206 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513713f6e4b02ab8869bff93","contributors":{"authors":[{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475540,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044282,"text":"70044282 - 2013 - Special issue on geostatistical and spatiometrical modeling of coal resources","interactions":[],"lastModifiedDate":"2013-04-20T19:59:16","indexId":"70044282","displayToPublicDate":"2013-03-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Special issue on geostatistical and spatiometrical modeling of coal resources","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Coal Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.coal.2013.01.010","usgsCitation":"Olea, R., 2013, Special issue on geostatistical and spatiometrical modeling of coal resources: International Journal of Coal Geology, v. 112, no. 1, 1 p., https://doi.org/10.1016/j.coal.2013.01.010.","productDescription":"1 p.","ipdsId":"IP-041741","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":268757,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2013.01.010"},{"id":268758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513713fce4b02ab8869bffab","contributors":{"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":47873,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":475235,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042367,"text":"70042367 - 2013 - The response of soil organic carbon of a rich fen peatland in interior Alaska to projected climate change","interactions":[],"lastModifiedDate":"2013-03-05T21:11:45","indexId":"70042367","displayToPublicDate":"2013-03-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"The response of soil organic carbon of a rich fen peatland in interior Alaska to projected climate change","docAbstract":"It is important to understand the fate of carbon in boreal peatland soils in response to climate change because a substantial change in release of this carbon as CO<sub>2</sub> and CH<sub>4</sub> could influence the climate system. The goal of this research was to synthesize the results of a field water table manipulation experiment conducted in a boreal rich fen into a process-based model to understand how soil organic carbon (SOC) of the rich fen might respond to projected climate change. This model, the peatland version of the dynamic organic soil Terrestrial Ecosystem Model (peatland DOS-TEM), was calibrated with data collected during 2005–2011 from the control treatment of a boreal rich fen in the Alaska Peatland Experiment (APEX). The performance of the model was validated with the experimental data measured from the raised and lowered water-table treatments of APEX during the same period. The model was then applied to simulate future SOC dynamics of the rich fen control site under various CO<sub>2</sub> emission scenarios. The results across these emissions scenarios suggest that the rate of SOC sequestration in the rich fen will increase between year 2012 and 2061 because the effects of warming increase heterotrophic respiration less than they increase carbon inputs via production. However, after 2061, the rate of SOC sequestration will be weakened and, as a result, the rich fen will likely become a carbon source to the atmosphere between 2062 and 2099. During this period, the effects of projected warming increase respiration so that it is greater than carbon inputs via production. Although changes in precipitation alone had relatively little effect on the dynamics of SOC, changes in precipitation did interact with warming to influence SOC dynamics for some climate scenarios.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/gcb.12041","usgsCitation":"Fan, Z., McGuire, A.D., Turetsky, M.R., Harden, J.W., Waddington, J.M., and Kane, E.S., 2013, The response of soil organic carbon of a rich fen peatland in interior Alaska to projected climate change: Global Change Biology, v. 19, no. 2, p. 604-620, https://doi.org/10.1111/gcb.12041.","productDescription":"17 p.","startPage":"604","endPage":"620","ipdsId":"IP-042131","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":268812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268811,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12041"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-11-07","publicationStatus":"PW","scienceBaseUri":"513713ffe4b02ab8869bffb3","contributors":{"authors":[{"text":"Fan, Zhaosheng","contributorId":83410,"corporation":false,"usgs":true,"family":"Fan","given":"Zhaosheng","affiliations":[],"preferred":false,"id":471387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Anthony David","contributorId":46848,"corporation":false,"usgs":true,"family":"McGuire","given":"Anthony","email":"","middleInitial":"David","affiliations":[],"preferred":false,"id":471385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turetsky, Merritt R.","contributorId":80980,"corporation":false,"usgs":true,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":471383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waddington, James Michael","contributorId":89774,"corporation":false,"usgs":true,"family":"Waddington","given":"James","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":471388,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kane, Evan S.","contributorId":11903,"corporation":false,"usgs":true,"family":"Kane","given":"Evan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":471384,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70041964,"text":"70041964 - 2013 - Interactions between chemical and climate stressors: A role for mechanistic toxicology in assessing climate change risks","interactions":[],"lastModifiedDate":"2017-05-24T13:17:00","indexId":"70041964","displayToPublicDate":"2013-03-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Interactions between chemical and climate stressors: A role for mechanistic toxicology in assessing climate change risks","docAbstract":"Incorporation of global climate change (GCC) effects into assessments of chemical risk and injury requires integrated examinations of chemical and nonchemical stressors. Environmental variables altered by GCC (temperature, precipitation, salinity, pH) can influence the toxicokinetics of chemical absorption, distribution, metabolism, and excretion as well as toxicodynamic interactions between chemicals and target molecules. In addition, GCC challenges processes critical for coping with the external environment (water balance, thermoregulation, nutrition, and the immune, endocrine, and neurological systems), leaving organisms sensitive to even slight perturbations by chemicals when pushed to the limits of their physiological tolerance range. In simplest terms, GCC can make organisms more sensitive to chemical stressors, while alternatively, exposure to chemicals can make organisms more sensitive to GCC stressors. One challenge is to identify potential interactions between nonchemical and chemical stressors affecting key physiological processes in an organism. We employed adverse outcome pathways, constructs depicting linkages between mechanism-based molecular initiating events and impacts on individuals or populations, to assess how chemical- and climate-specific variables interact to lead to adverse outcomes. Case examples are presented for prospective scenarios, hypothesizing potential chemical–GCC interactions, and retrospective scenarios, proposing mechanisms for demonstrated chemical–climate interactions in natural populations. Understanding GCC interactions along adverse outcome pathways facilitates extrapolation between species or other levels of organization, development of hypotheses and focal areas for further research, and improved inputs for risk and resource injury assessments.","language":"English","publisher":"SETAC","publisherLocation":"Brussels, Belgium","doi":"10.1002/etc.2043","usgsCitation":"Hooper, M.J., Ankley, G., Cristol, D.A., Maryoung, L.A., Noyes, P.D., and Pinkerton, K.E., 2013, Interactions between chemical and climate stressors: A role for mechanistic toxicology in assessing climate change risks: Environmental Toxicology and Chemistry, v. 32, no. 1, p. 32-48, https://doi.org/10.1002/etc.2043.","productDescription":"17 p.","startPage":"32","endPage":"48","ipdsId":"IP-037983","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":473923,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3601417","text":"Publisher Index Page"},{"id":268749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268748,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2043"}],"volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-01","publicationStatus":"PW","scienceBaseUri":"513713f8e4b02ab8869bff9b","contributors":{"authors":[{"text":"Hooper, Michael J. 0000-0002-4161-8961 mhooper@usgs.gov","orcid":"https://orcid.org/0000-0002-4161-8961","contributorId":3251,"corporation":false,"usgs":true,"family":"Hooper","given":"Michael","email":"mhooper@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":470480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ankley, Gerald T.","contributorId":67382,"corporation":false,"usgs":true,"family":"Ankley","given":"Gerald T.","affiliations":[],"preferred":false,"id":470484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cristol, Daniel A.","contributorId":23039,"corporation":false,"usgs":false,"family":"Cristol","given":"Daniel","email":"","middleInitial":"A.","affiliations":[{"id":6686,"text":"College of William and Mary","active":true,"usgs":false}],"preferred":false,"id":470481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maryoung, Lindley A.","contributorId":62483,"corporation":false,"usgs":true,"family":"Maryoung","given":"Lindley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noyes, Pamela D.","contributorId":102763,"corporation":false,"usgs":true,"family":"Noyes","given":"Pamela","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":470485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pinkerton, Kent E.","contributorId":33194,"corporation":false,"usgs":true,"family":"Pinkerton","given":"Kent","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":470482,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70043479,"text":"70043479 - 2013 - Seismic imaging of the Waltham Canyon fault, California: comparison of ray‐theoretical and Fresnel volume prestack depth migration","interactions":[],"lastModifiedDate":"2013-03-05T21:23:54","indexId":"70043479","displayToPublicDate":"2013-03-05T00:00:00","publicationYear":"2013","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":"Seismic imaging of the Waltham Canyon fault, California: comparison of ray‐theoretical and Fresnel volume prestack depth migration","docAbstract":"Near‐vertical faults can be imaged using reflected refractions identified in controlled‐source seismic data. Often theses phases are observed on a few neighboring shot or receiver gathers, resulting in a low‐fold data set. Imaging can be carried out with Kirchhoff prestack depth migration in which migration noise is suppressed by constructive stacking of large amounts of multifold data. Fresnel volume migration can be used for low‐fold data without severe migration noise, as the smearing along isochrones is limited to the first Fresnel zone around the reflection point. We developed a modified Fresnel volume migration technique to enhance imaging of steep faults and to suppress noise and undesired coherent phases. The modifications include target‐oriented filters to separate reflected refractions from steep‐dipping faults and reflections with hyperbolic moveout. Undesired phases like multiple reflections, mode conversions, direct P and S waves, and surface waves are suppressed by these filters. As an alternative approach, we developed a new prestack line‐drawing migration method, which can be considered as a proxy to an infinite frequency approximation of the Fresnel volume migration. The line‐drawing migration is not considering waveform information but requires significantly shorter computational time. Target‐oriented filters were extended by dip filters in the line‐drawing migration method. The migration methods were tested with synthetic data and applied to real data from the Waltham Canyon fault, California. The two techniques are applied best in combination, to design filters and to generate complementary images of steep faults.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120110338","usgsCitation":"Bauer, K., Ryberg, T., Fuis, G.S., and Luth, S., 2013, Seismic imaging of the Waltham Canyon fault, California: comparison of ray‐theoretical and Fresnel volume prestack depth migration: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 340-352, https://doi.org/10.1785/0120110338.","productDescription":"13 p.","startPage":"340","endPage":"352","ipdsId":"IP-032222","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":268814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268813,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110338"}],"country":"United States","state":"California","otherGeospatial":"Waltham Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"103","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"513713fde4b02ab8869bffaf","contributors":{"authors":[{"text":"Bauer, Klaus","contributorId":44808,"corporation":false,"usgs":true,"family":"Bauer","given":"Klaus","affiliations":[],"preferred":false,"id":473680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryberg, Trond","contributorId":14806,"corporation":false,"usgs":true,"family":"Ryberg","given":"Trond","affiliations":[],"preferred":false,"id":473679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuis, Gary S. 0000-0002-3078-1544 fuis@usgs.gov","orcid":"https://orcid.org/0000-0002-3078-1544","contributorId":2639,"corporation":false,"usgs":true,"family":"Fuis","given":"Gary","email":"fuis@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":473677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luth, Stefan","contributorId":9929,"corporation":false,"usgs":true,"family":"Luth","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":473678,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044412,"text":"ofr20121095 - 2013 - Holocene core logs and site methods for modern reef and head-coral cores - Dry Tortugas National Park, Florida","interactions":[],"lastModifiedDate":"2022-11-14T16:47:24.941973","indexId":"ofr20121095","displayToPublicDate":"2013-03-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1095","title":"Holocene core logs and site methods for modern reef and head-coral cores - Dry Tortugas National Park, Florida","docAbstract":"<p>The Dry Tortugas are a series of islands, banks, and channels on a carbonate platform off the west end of the Florida Keys. Antecedent topography of the Dry Tortugas reflects carbonate accumulations of the last interglacial (marine isotope substage 5e, ~ 125,000 years ago, ka) when sea level was ~ 6 to 7 meters (m) higher than present (Schrag and others, 2002). The substage 5e surface was subsequently lithified and modified during subaerial exposure associated with lower sea level from ~ 120 ka to 8 ka. The lithified late Pleistocene carbonates are known as the Key Largo Limestone, a coral reef (Hoffmeister and Multer, 1964; Multer and others, 2002), and the Miami Limestone, a tidal-bar oolite (Sanford, 1909; Hoffmeister, 1974). The Holocene and modern sediments and reefs of the Dry Tortugas then accreted during the rise of sea level associated with the end of the last glacial and the start of the current interglacial (marine isotope Stage 1). With the exception of a half dozen or so islands, the Dry Tortugas region has been submerged for approximately 8,000 years, allowing conditions suitable for coral reef formation once again. The Holocene reef accumulation varies in thickness due to the antecedent topography. The reefs are composed of massive head corals such as species of Montastraea, Siderastrea, and Diploria (Swart and others, 1996; Cohen and McConnaughey, 2003) and rest atop the Pleistocene Key Largo Limestone high (Shinn and others, 1977). The coral reefs within the Dry Tortugas represent a windward reef margin relative to dominant wind and wave energies (Hine and Mullins, 1983; Mallinson and others, 1997; Mallinson and others, 2003).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121095","usgsCitation":"Hickey, T.D., Reich, C.D., DeLong, K.L., Poore, R.Z., and Brock, J., 2013, Holocene core logs and site methods for modern reef and head-coral cores - Dry Tortugas National Park, Florida: U.S. Geological Survey Open-File Report 2012-1095, iv, 27 p., https://doi.org/10.3133/ofr20121095.","productDescription":"iv, 27 p.","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":268782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1095.gif"},{"id":268768,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1095/"},{"id":268769,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1095/pdf/ofr2012-1095.pdf","text":"Report"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.76673820002982,\n              24.702032234521695\n            ],\n            [\n              -82.80111355697035,\n              24.72611070301882\n            ],\n            [\n              -82.86737930528973,\n              24.725734512768284\n            ],\n            [\n              -82.90051217944944,\n              24.717834254792294\n            ],\n            [\n              -82.96719208869578,\n              24.649344358619032\n            ],\n            [\n              -82.96553544498762,\n              24.5665042001456\n            ],\n            [\n              -82.89678473110656,\n              24.566880870376693\n            ],\n            [\n              -82.80028523511646,\n              24.617720954532814\n            ],\n            [\n              -82.76632403910288,\n              24.66891673942027\n            ],\n            [\n              -82.76632403910288,\n              24.702032234521695\n            ],\n            [\n              -82.76673820002982,\n              24.702032234521695\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513713f7e4b02ab8869bff97","contributors":{"authors":[{"text":"Hickey, Todd D.","contributorId":34255,"corporation":false,"usgs":true,"family":"Hickey","given":"Todd","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":475545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, Christopher D. 0000-0002-2534-1456 creich@usgs.gov","orcid":"https://orcid.org/0000-0002-2534-1456","contributorId":900,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"creich@usgs.gov","middleInitial":"D.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":475542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeLong, Kristine L.","contributorId":19249,"corporation":false,"usgs":true,"family":"DeLong","given":"Kristine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":475544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":475541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":475543,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044348,"text":"sir20125289 - 2013 - Simulation of the shallow groundwater-flow system in the Forest County Potawatomi Community, Forest County, Wisconsin","interactions":[],"lastModifiedDate":"2013-03-04T09:18:25","indexId":"sir20125289","displayToPublicDate":"2013-03-04T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5289","title":"Simulation of the shallow groundwater-flow system in the Forest County Potawatomi Community, Forest County, Wisconsin","docAbstract":"The shallow groundwater system in the Forest County Potawatomi Comminity, Forest County, Wisconsin, was simulated by expanding and recalibrating a previously calibrated regional model. The existing model was updated using newly collected water-level measurements, inclusion of surface-water features beyond the previous near-field boundary, and refinements to surface-water features. The updated model then was used to calculate the area contributing recharge for seven existing and three proposed pumping locations on lands of the Forest County Potawatomi Community. The existing wells were the subject of a 2004 source-water evaluation in which areas contributing recharge were calculated using the fixed-radius method. The motivation for the present (2012) project was to improve the level of detail of areas contributing recharge for the existing wells and to provide similar analysis for the proposed wells. Delineated 5- and 10-year areas contributing recharge for existing and proposed wells extend from the areas of pumping to delineate the area at the surface contributing recharge to the wells. Steady-state pumping was simulated for two scenarios: a base-pumping scenario using pumping rates that reflect what the Community currently (2012) pumps (or plans to in the case of proposed wells), and a high-pumping scenario in which the rate was set to the maximum expected from wells installed in this area, according to the Forest County Potawatomi Community Natural Resources Department. In general, the 10-year areas contributing recharge did not intersect surface-water bodies. The 5- and 10-year areas contributing recharge simulated at the maximum pumping rate at Bug Lake Road may intersect Bug Lake. At the casino near the Town of Carter, Wisconsin, the 10-year areas contributing recharge intersect infiltration ponds. At the Devils Lake and Lois Crow Drive wells, areas contributing recharge are near cultural features, including residences.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125289","collaboration":"Prepared in cooperation with the Forest County Potawatomi Community","usgsCitation":"Fienen, M., Saad, D.A., and Juckem, P.F., 2013, Simulation of the shallow groundwater-flow system in the Forest County Potawatomi Community, Forest County, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2012-5289, vi, 24 p., https://doi.org/10.3133/sir20125289.","productDescription":"vi, 24 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":268700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5289.gif"},{"id":268698,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5289/"},{"id":268699,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5289/pdf/SIR2012-5289_web.pdf"}],"scale":"100000","country":"United States","state":"Wisconsin","county":"Forest","otherGeospatial":"Forest County Potawatomi Community;Lake Lucerne;Trump Lake;Lake Wabikon;Devils Lake;Lake Metonga","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.070282,45.12732 ], [ -89.070282,45.755068 ], [ -88.398743,45.755068 ], [ -88.398743,45.12732 ], [ -89.070282,45.12732 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5135c26be4b03b8ec4025b30","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":475337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475338,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044598,"text":"70044598 - 2013 - Modelling dendritic ecological networks in space: anintegrated network perspective","interactions":[],"lastModifiedDate":"2013-05-06T10:33:38","indexId":"70044598","displayToPublicDate":"2013-03-04T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Modelling dendritic ecological networks in space: anintegrated network perspective","docAbstract":"Dendritic ecological networks (DENs) are a unique form of ecological networks that exhibit a dendritic network topology (e.g. stream and cave networks or plant architecture). DENs have a dual spatial representation; as points within the network and as points in geographical space. Consequently, some analytical methods used to quantify relationships in other types of ecological networks, or in 2-D space, may be inadequate for studying the influence of structure and connectivity on ecological processes within DENs. We propose a conceptual taxonomy of network analysis methods that account for DEN characteristics to varying degrees and provide a synthesis of the different approaches within\nthe context of stream ecology. Within this context, we summarise the key innovations of a new family of spatial statistical models that describe spatial relationships in DENs. Finally, we discuss how different network analyses may be combined to address more complex and novel research questions. While our main focus is streams, the taxonomy of network analyses is also relevant anywhere spatial patterns in both network and 2-D space can be used to explore the influence of multi-scale processes on biota and their habitat (e.g. plant morphology and pest infestation, or preferential migration along stream or road corridors).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/ele.12084","usgsCitation":"Peterson, E.E., Ver Hoef, J.M., Isaak, D.J., Falke, J.A., Fortin, M., Jordon, C.E., McNyset, K., Monestiez, P., Ruesch, A.S., Sengupta, A., Som, N., Steel, E.A., Theobald, D.M., Torgersen, C., and Wenger, S.J., 2013, Modelling dendritic ecological networks in space: anintegrated network perspective: Ecology Letters, v. 16, no. 5, p. 707-719, https://doi.org/10.1111/ele.12084.","productDescription":"13 p.","startPage":"707","endPage":"719","ipdsId":"IP-043413","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":271343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271342,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/ele.12084"}],"volume":"16","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-03-04","publicationStatus":"PW","scienceBaseUri":"51765beae4b0f989f99e00ff","contributors":{"authors":[{"text":"Peterson, Erin E.","contributorId":16264,"corporation":false,"usgs":true,"family":"Peterson","given":"Erin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":475940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ver Hoef, Jay M.","contributorId":42504,"corporation":false,"usgs":true,"family":"Ver Hoef","given":"Jay","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":475943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isaak, Dan J.","contributorId":59324,"corporation":false,"usgs":true,"family":"Isaak","given":"Dan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":475936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fortin, Marie-Josée","contributorId":40462,"corporation":false,"usgs":true,"family":"Fortin","given":"Marie-Josée","affiliations":[],"preferred":false,"id":475942,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jordon, Chris E.","contributorId":83416,"corporation":false,"usgs":true,"family":"Jordon","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":475949,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McNyset, Kristina","contributorId":49255,"corporation":false,"usgs":true,"family":"McNyset","given":"Kristina","email":"","affiliations":[],"preferred":false,"id":475945,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Monestiez, Pascal","contributorId":11910,"corporation":false,"usgs":true,"family":"Monestiez","given":"Pascal","email":"","affiliations":[],"preferred":false,"id":475939,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruesch, Aaron S.","contributorId":26559,"corporation":false,"usgs":true,"family":"Ruesch","given":"Aaron","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":475941,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sengupta, Aritra","contributorId":49256,"corporation":false,"usgs":true,"family":"Sengupta","given":"Aritra","email":"","affiliations":[],"preferred":false,"id":475946,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Som, Nicholas","contributorId":100264,"corporation":false,"usgs":true,"family":"Som","given":"Nicholas","affiliations":[],"preferred":false,"id":475950,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Steel, E. 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