{"pageNumber":"214","pageRowStart":"5325","pageSize":"25","recordCount":10956,"records":[{"id":80494,"text":"ofr20071309 - 2007 - Development of a Land Use Database for the Little Blackwater Watershed, Dorchester County, Maryland","interactions":[],"lastModifiedDate":"2012-02-02T00:14:13","indexId":"ofr20071309","displayToPublicDate":"2007-10-06T00:00:00","publicationYear":"2007","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":"2007-1309","title":"Development of a Land Use Database for the Little Blackwater Watershed, Dorchester County, Maryland","docAbstract":"Many agricultural and forested areas in proximity to National Wildlife Refuges (NWR) are under increasing economic pressure to develop lands for commercial or residential development. The upper portion of the Little Blackwater River watershed - a 27 square mile area within largely low-lying Dorchester County, Maryland, on the eastern shore of the Chesapeake Bay - is important to the U.S. Fish and Wildlife Service (USFWS) because it flows toward the Blackwater National Wildlife Refuge (BNWR), and developmental impacts of areas upstream from the BNWR are unknown.\r\n\r\nOne of the primary concerns for the refuge is how storm-water runoff may affect living resources downstream. The Egypt Road project (fig. 1), for which approximately 600 residential units have been approved, has the potential to markedly change the land use and land cover on the west bank of the Little Blackwater River. In an effort to limit anticipated impacts, the Maryland Department of Natural Resources (Maryland DNR) recently decided to purchase some of the lands previously slated for development. Local topography, a high water table (typically 1 foot or less below the land surface), and hydric soils present a challenge for the best management of storm-water flow from developed surfaces.\r\n\r\nA spatial data coordination group was formed by the Dorchester County Soil and Conservation District to collect data to aid decisionmakers in watershed management and on the possible impacts of development on this watershed. Determination of streamflow combined with land cover and impervious-surface baselines will allow linking of hydrologic and geologic factors that influence the land surface. This baseline information will help planners, refuge managers, and developers discuss issues and formulate best management practices to mitigate development impacts on the refuge.\r\n\r\nIn consultation with the Eastern Region Geospatial Information Office, the dataset selected to be that baseline land cover source was the June-July 2005 National Agricultural Imagery Program (NAIP) 1-meter resolution orthoimagery of Maryland. This publicly available, statewide dataset provided imagery corresponding to the closest in time to the installation of a U.S. Geological Survey (USGS) Water Resources Discipline gaging station on the Little Blackwater River. It also captures land cover status just before major residential development occurs. This document describes the process used to create a land use database for the Little Blackwater watershed.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071309","usgsCitation":"Milheim, L., Jones, J., and Barlow, R.A., 2007, Development of a Land Use Database for the Little Blackwater Watershed, Dorchester County, Maryland: U.S. Geological Survey Open-File Report 2007-1309, iv, 8 p., https://doi.org/10.3133/ofr20071309.","productDescription":"iv, 8 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190825,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10318,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1309/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db667116","contributors":{"authors":[{"text":"Milheim, Lesley E.","contributorId":100951,"corporation":false,"usgs":true,"family":"Milheim","given":"Lesley E.","affiliations":[],"preferred":false,"id":292760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":292758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlow, Roger A. rbarlow@usgs.gov","contributorId":2824,"corporation":false,"usgs":true,"family":"Barlow","given":"Roger","email":"rbarlow@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":292759,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80488,"text":"ofr20071259 - 2007 - Stratigraphy, structure, and geologic and coastal hazards in the Penuelas to Salinas area, southern Puerto Rico:  A compendium of published literature","interactions":[],"lastModifiedDate":"2022-06-15T13:44:07.746974","indexId":"ofr20071259","displayToPublicDate":"2007-10-06T00:00:00","publicationYear":"2007","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":"2007-1259","title":"Stratigraphy, structure, and geologic and coastal hazards in the Penuelas to Salinas area, southern Puerto Rico:  A compendium of published literature","docAbstract":"<p class=\"bodytext\">The Puerto Rico Electrical Power Authority has proposed construction of a pipeline to convey natural gas from the municipio of Peñuelas to the Aguirre thermoelectric power plant in the municipio of Salinas in southern Puerto Rico. To ensure that the geologic conditions along the possible routes do not represent a threat to the physical integrity of the natural gas pipeline, and thus comply with State and Federal regulations, the Puerto Rico Electrical Power Authority requested the U.S. Geological Survey to provide a synthesis of published literature of the geology of the coastal plain in the Peñuelas to Salinas area.</p><p class=\"bodytext\">The study area is located in part of the Southern Coastal Plain of Puerto Rico. In the area that extends from the municipio of Peñuelas eastward to the Laguna de las Salinas at Ponce, a distance of about 5 miles, the study area is underlain by middle Tertiary carbonate units. Eastward from the Laguna de las Salinas to the pipeline terminus at the Aguirre power plant in Salinas, a distance of about 30 miles, the terrain is underlain by fan-delta deposits of Quaternary age. The carbonate units and the fan-delta deposits are underlain by early Tertiary and older-age volcaniclastics with subordinate sedimentary rocks and lavas. The Great Southern Puerto Rico Fault Zone is the principal geologic structural feature in southern Puerto Rico. At present, the Great Southern Puerto Rico Fault Zone is considered largely quiescent, although it apparently is associated with minor earthquakes. There is no evidence of terrestrial, late Quaternary faulting within the Peñuelas to Salinas area. Seismic activity in this area mostly originates from extension zones of more distal shallow sources such as Mona Canyon to the northwest and the Anegada Trough northeast of the island of Puerto Rico. The magnitude of completeness of earthquakes in the study area ranges from 2.0 to 2.5. The seismic density for the southern coast including the study area is about 0.128 earthquakes per square mile, which is close to the average for southwestern Puerto Rico.</p><p class=\"bodytext\">The estimated maximum peak ground acceleration most likely to occur in the study area, due to shallow depth seismicity with 2 percent probability of exceedance in 50 years, is 9 feet per second squared, as obtained by modeling results. The estimated peak ground acceleration with 2 percent probability of exceedance in 50 years, due to deep seismicity is 7 feet per second squared. In Ponce, the probability of exceedance per year is higher than 0.1 for the peak ground acceleration values less than 1 that result from shallow depth seismicity sources such as the Mona Passage extension zone.</p><p class=\"bodytext\">The potential for liquefaction due to seismic activity may exist in areas near the coastline that have loosely to poorly consolidated sedimentary deposits and a water table close to or at the land surface. Slope failure susceptibility within the study area, due to rainfall and seismic activity, may be limited to the area that extends westward from Laguna de las Salinas to Peñuelas. In this area, foothills with slopes exceeding 10 degrees are close to the coastline and are underlain by clayey limestone and marls. In the remaining part of the study area, eastward from Laguna de las Salinas to Salinas, the land is either nearly flat or has a slope of less than 10 degrees; consequently, the susceptibility to landsliding (slope failure) caused by seismic activity and rainfall is considered to be minimal or nonexistent.</p><p class=\"bodytext\">Based on modeling results from a previous study, the estimated maximum inland extent of tsunami-induced flooding is 2,600 feet in the Laguna de las Salinas and Boca Chica, located in Ponce and Juana Díaz, respectively. Flooding about 3,000 and 2,800 feet from the coastline are estimated for areas near Punta Cabullón and Jobos areas, respectively. According to the modeling results, the estimated maximum runup of the tsunami-induced flooding ranges from 9 to 14 feet for the Boca Chica and Punta Cabullón areas, respectively.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071259","collaboration":"Prepared in cooperation with the Puerto Rico Electric Power Authority","usgsCitation":"Rodríguez-Martínez, J., 2007, Stratigraphy, structure, and geologic and coastal hazards in the Penuelas to Salinas area, southern Puerto Rico:  A compendium of published literature: U.S. Geological Survey Open-File Report 2007-1259, v, 27 p., https://doi.org/10.3133/ofr20071259.","productDescription":"v, 27 p.","onlineOnly":"Y","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":192053,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402173,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81853.htm"},{"id":10311,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1259/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.8208,\n              17.9417\n            ],\n            [\n              -66.2072,\n              17.9417\n            ],\n            [\n              -66.2072,\n              18.125\n            ],\n            [\n              -66.8208,\n              18.125\n            ],\n            [\n              -66.8208,\n              17.9417\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a5419","contributors":{"authors":[{"text":"Rodríguez-Martínez, Jesús","contributorId":48149,"corporation":false,"usgs":true,"family":"Rodríguez-Martínez","given":"Jesús","affiliations":[],"preferred":false,"id":292732,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80493,"text":"ofr20071308 - 2007 - Development of an Impervious-Surface Database for the Little Blackwater River Watershed, Dorchester County, Maryland","interactions":[],"lastModifiedDate":"2012-02-02T00:14:15","indexId":"ofr20071308","displayToPublicDate":"2007-10-06T00:00:00","publicationYear":"2007","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":"2007-1308","title":"Development of an Impervious-Surface Database for the Little Blackwater River Watershed, Dorchester County, Maryland","docAbstract":"Many agricultural and forested areas in proximity to National Wildlife Refuges (NWR) are under increasing economic pressure for commercial or residential development. The upper portion of the Little Blackwater River watershed - a 27 square mile area within largely low-lying Dorchester County, Maryland, on the eastern shore of the Chesapeake Bay - is important to the U.S. Fish and Wildlife Service (USFWS) because it flows toward the Blackwater National Wildlife Refuge (BNWR), and developmental impacts of areas upstream from the BNWR are unknown.\r\n\r\nOne of the primary concerns for the Refuge is how storm-water runoff may affect living resources downstream. The Egypt Road project (fig. 1), for which approximately 600 residential units have been approved, has the potential to markedly change the land use and land cover on the west bank of the Little Blackwater River. In an effort to limit anticipated impacts, the Maryland Department of Natural Resources (Maryland DNR) recently decided to purchase some of the lands previously slated for development. Local topography, a high water table (typically 1 foot or less below the land surface), and hydric soils present a challenge for the best management of storm-water flow from developed surfaces.\r\n\r\nA spatial data coordination group was formed by the Dorchester County Soil and Conservation District to collect data to aid decisionmakers in watershed management and on the possible impacts of development on this watershed. Determination of streamflow combined with land cover and impervious-surface baselines will allow linking of hydrologic and geologic factors that influence the land surface. This baseline information will help planners, refuge managers, and developers discuss issues and formulate best management practices to mitigate development impacts on the refuge.\r\n\r\nIn consultation with the Eastern Region Geospatial Information Office, the dataset selected to be that baseline land cover source was the June-July 2005 National Agricultural Imagery Program (NAIP) 1-meter resolution orthoimagery of Maryland. This publicly available, statewide dataset provided imagery corresponding to the closest in time to the installation of a U.S. Geological Survey (USGS) Water Resources Discipline gaging station on the Little Blackwater River. It also captures land cover status just before major residential development occurs. This document describes the process used to create a database of impervious surfaces for the Little Blackwater watershed.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071308","usgsCitation":"Milheim, L., Jones, J., and Barlow, R.A., 2007, Development of an Impervious-Surface Database for the Little Blackwater River Watershed, Dorchester County, Maryland: U.S. Geological Survey Open-File Report 2007-1308, iv, 6 p., https://doi.org/10.3133/ofr20071308.","productDescription":"iv, 6 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190527,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10317,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1308/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65df59","contributors":{"authors":[{"text":"Milheim, Lesley E.","contributorId":100951,"corporation":false,"usgs":true,"family":"Milheim","given":"Lesley E.","affiliations":[],"preferred":false,"id":292757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":292755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlow, Roger A. rbarlow@usgs.gov","contributorId":2824,"corporation":false,"usgs":true,"family":"Barlow","given":"Roger","email":"rbarlow@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":292756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80484,"text":"ds263 - 2007 - Water-quality, sediment-quality, stream-habitat, and biological data for Mustang Bayou near Houston, Texas, 2004-05","interactions":[],"lastModifiedDate":"2016-08-23T14:06:02","indexId":"ds263","displayToPublicDate":"2007-10-04T00:00:00","publicationYear":"2007","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":"263","title":"Water-quality, sediment-quality, stream-habitat, and biological data for Mustang Bayou near Houston, Texas, 2004-05","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Houston-Galveston Area Council and the Texas Commission on Environmental Quality, collected water-quality, stream-habitat, and biological data from six sites (downstream order M6-M1) primarily in Brazoria County southeast of Houston, Texas, during September 2004-August 2005 and collected bed sediment data from one site in September 2005. Water-quality data collection consisted of continuously monitored (for periods of 24 hours to several days, six times) water temperature, pH, specific conductance, and dissolved oxygen and periodically collected samples of several properties and constituents. Monitored dissolved oxygen measurements were below minimum and 24-hour criteria at all sites except M2. Nitrogen compounds, phosphorus, biochemical oxygen demand, chlorophyll-a, E. coli, chloride, sulfate, solids, suspended sediment concentration, and pesticides were assessed at all sites. Concentrations of nitrogen compounds and phosphorus did not exceed Texas State screening levels. Biochemical oxygen demand was less than 4.0 milligrams per liter at all sites except M6, where the maximum concentration was 8.1 milligrams per liter. Concentrations of chlorophyll-a were less than the State screening level at all sites except M6, where four of eight samples equaled or exceeded the screening level. Twenty of 48 samples from Mustang Bayou had E. coli densities that exceeded the State single-sample water-quality standard. Median chloride concentrations from each site were between 42.2 and 123 milligrams per liter. Fifteen pesticide compounds (six herbicides and nine insecticides) were detected in 24 water samples. The most frequently detected pesticide was atrazine, which was found in every sample. Other frequently detected pesticides were 2-chloro-4-isopropylamino-6-amino-s-triazine (CIAT), prometon, tebuthiuron, fipronil, and the pesticide degradates, fipronil sulfide and fipronil sulfone. Sediment samples were collected from the stream bottom at M1 and analyzed for concentrations of trace elements (metals), polycyclic aromatic hydrocarbons, organochlorine pesticides, and polychlorinated biphenyls. No organochlorine pesticides or polychlorinated biphenyls were detected. No concentrations of metals exceeded State screening levels. Measurable concentrations of 11 polycyclic aromatic hydrocarbon (PAH) compounds were detected, and three other PAH compounds were detected but not quantified by the laboratory. Stream habitat and aquatic biota (benthic macroinvertebrates and fish) were surveyed at each site three times during the study to evaluate aquatic life use. Characteristics of habitat measured during each survey were scored using a habitat quality index. Average aquatic-life-use scores were 'limited' for M3-M6 and 'intermediate' for M1 and M2. A total of 2,557 macroinvertebrate individuals were identified from Mustang Bayou. Benthic macroinvertebrate assemblages were scored using indexes specified by the Texas Commission on Environmental Quality. Average aquatic-life-use scores were 'limited' at M1, 'intermediate' at M3-M6, and 'high' at M2. Forty-six species of fish representing 20 families were collected from Mustang Bayou. A total of 4,115 fish were collected. Sunfish (Centrarchidae) was the most abundant family, accounting for about 28 percent. Aquatic-life-use scores at sites in Mustang Bayou were determined using the regional index of biotic integrity for ecoregion 34 and were 'high' for all sites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds263","collaboration":"Prepared in cooperation with the Houston-Galveston Area Council and the Texas Commission on Environmental Quality","usgsCitation":"Sneck-Fahrer, D.A., and East, J., 2007, Water-quality, sediment-quality, stream-habitat, and biological data for Mustang Bayou near Houston, Texas, 2004-05 (Version 1.0): U.S. Geological Survey Data Series 263, vi, 82 p., https://doi.org/10.3133/ds263.","productDescription":"vi, 82 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2004-09-01","temporalEnd":"2005-08-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":190984,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds263.gif"},{"id":10575,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/263/","linkFileType":{"id":5,"text":"html"}},{"id":327700,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/263/pdf/ds263.pdf","size":"43.8 MB","linkFileType":{"id":1,"text":"pdf"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.66666666666667,29.25 ], [ -95.66666666666667,29.616666666666667 ], [ -95.05,29.616666666666667 ], [ -95.05,29.25 ], [ -95.66666666666667,29.25 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fcc6a","contributors":{"authors":[{"text":"Sneck-Fahrer, Debra A.","contributorId":43844,"corporation":false,"usgs":true,"family":"Sneck-Fahrer","given":"Debra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":292708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"East, Jeffery W. jweast@usgs.gov","contributorId":1683,"corporation":false,"usgs":true,"family":"East","given":"Jeffery W.","email":"jweast@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292707,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80487,"text":"ds289 - 2007 - Sedimentary properties of shallow marine cores collected in June and September 2006, Hanalei Bay, Kaua'i, Hawai'i","interactions":[],"lastModifiedDate":"2022-08-26T19:24:11.979586","indexId":"ds289","displayToPublicDate":"2007-10-04T00:00:00","publicationYear":"2007","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":"289","title":"Sedimentary properties of shallow marine cores collected in June and September 2006, Hanalei Bay, Kaua'i, Hawai'i","docAbstract":"<p>Sedimentary facies, short-lived isotopes <sup>7</sup>Be, <sup>137</sup>Cs, and <sup>210</sup>Pb, and magnetic properties of sediment cores in Hanalei Bay, Kaua‘i, Hawai‘i, were used to assess sediment sources and patterns of deposition associated with seasonal flooding of the Hanalei River. Sediment cores were collected from the seafloor in June and September of 2006 to supplement similar data collected during the summer of 2005. The youngest and thickest terrigenous sediment was observed on the east side of the bay: near the Hanalei River mouth and in a bathymetric depression, known locally as the Black Hole, that acts as a temporary sediment sink. Deposits from floods that occurred between February and April 2006 left flood deposits in the eastern bay that, by June of 2006, were on the order of 10 cm thick. A flood occurred on August 7, 2006, that was smaller than floods that occurred the previous winter but was a substantial discharge event for the summer season. Deposits from the winter 2006 floods continued to dominate the sedimentary record in the eastern bay through early fall, even after the addition of newer sediment during the August 7 flood; this is consistent with the much higher sediment input of the winter floods compared with the August 7 flood. Broad variations in magnetic grain size and relative magnetite-hematite abundance in several sediment cores indicate many sources of upland terrigenous sediment. As a group, recent flood deposits show much less variation in these properties compared with older deposits, implying either that the 2006 winter–spring flood sediment originated from one or more distinct upland settings, or that substantial mixing of sediment from multiple sources occurred during transport.</p>\n<br>\n<p>Sediment is most readily remobilized and advected out of the bay during winter, when oceanic conditions are energetic. In summer, wave and current measurements made concurrently with this study showed weak currents and little wave energy, indicating that sediment delivered during summer floods most likely remains in the bay until winter storms can remove it. Increased turbidity and sedimentation on corals resulting from floods of the Hanalei River could affect the sustainability of coral reefs and their many associated species. This possibility is of particular concern during summer months when wave energy is low and sediment is not readily remobilized and transported out of the bay. The timing (seasonality) and magnitude of sediment input to the coastal ocean relative to seasonal variations in wave and current energy could have significant ecological consequences for coral-reef communities in the Hawaiian Islands.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds289","usgsCitation":"Draut, A.E., Bothner, M., Reynolds, R.L., Buchan, O.C., Cochran, S., Casso, M.A., Baldwin, S., Goldstein, H.L., Xiao, J., Field, M.E., and Logan, J., 2007, Sedimentary properties of shallow marine cores collected in June and September 2006, Hanalei Bay, Kaua'i, Hawai'i (Version 1.0): U.S. Geological Survey Data Series 289, Report: 68 p.; Appendix; CSV Files, https://doi.org/10.3133/ds289.","productDescription":"Report: 68 p.; Appendix; CSV Files","numberOfPages":"69","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":10310,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/289/","linkFileType":{"id":5,"text":"html"}},{"id":405713,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81849.htm","linkFileType":{"id":1,"text":"pdf"}},{"id":292897,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/289/ds289_appendix3.xls"},{"id":292896,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/289/ds289.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":192417,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds289.PNG"},{"id":292898,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/289/csv"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Hanalei Bay, Kauai","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159.5222,\n              22.2028\n            ],\n            [\n              -159.4933,\n              22.2028\n            ],\n            [\n              -159.4933,\n              22.2306\n            ],\n            [\n              -159.5222,\n              22.2306\n            ],\n            [\n              -159.5222,\n              22.2028\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db66089a","contributors":{"authors":[{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":292731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":292727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":441,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":292721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buchan, Olivia C.","contributorId":26002,"corporation":false,"usgs":true,"family":"Buchan","given":"Olivia","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":292725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cochran, Susan A.","contributorId":27533,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","affiliations":[],"preferred":false,"id":292726,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casso, Michael A. mcasso@usgs.gov","contributorId":13306,"corporation":false,"usgs":true,"family":"Casso","given":"Michael","email":"mcasso@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":292724,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baldwin, Sandra M. sbrosnahan@usgs.gov","contributorId":75620,"corporation":false,"usgs":true,"family":"Baldwin","given":"Sandra M.","email":"sbrosnahan@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":292730,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":807,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":292722,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Xiao, Jiang","contributorId":49850,"corporation":false,"usgs":true,"family":"Xiao","given":"Jiang","email":"","affiliations":[],"preferred":false,"id":292729,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Field, Michael E. mfield@usgs.gov","contributorId":2101,"corporation":false,"usgs":true,"family":"Field","given":"Michael","email":"mfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":292723,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Logan, Joshua B.","contributorId":34470,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua B.","affiliations":[],"preferred":false,"id":292728,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":80477,"text":"sir20075081 - 2007 - Analyses of Water-Level Differentials and Variations in Recharge between the Surficial and Upper Floridan Aquifers in East-Central and Northeast Florida","interactions":[],"lastModifiedDate":"2012-02-10T00:11:36","indexId":"sir20075081","displayToPublicDate":"2007-10-02T00:00:00","publicationYear":"2007","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":"2007-5081","title":"Analyses of Water-Level Differentials and Variations in Recharge between the Surficial and Upper Floridan Aquifers in East-Central and Northeast Florida","docAbstract":"Continuous (daily) water-level data collected at 29 monitoring-well cluster sites were analyzed to document variations in recharge between the surficial (SAS) and Floridan (FAS) aquifer systems in east-central and northeast Florida. According to Darcy's law, changes in the water-level differentials (differentials) between these systems are proportional to changes in the vertical flux of water between them. Variations in FAS recharge rates are of interest to water-resource managers because changes in these rates affect sensitive water resources subject to minimum flow and water-level restrictions, such as the amount of water discharged from springs and changes in lake and wetland water levels.\r\n\r\nMean daily differentials between 2000-2004 ranged from less than 1 foot at a site in east-central Florida to more than 114 feet at a site in northeast Florida. Sites with greater mean differentials exhibited lower percentage-based ranges in fluctuations than did sites with lower mean differentials. When averaged for all sites, differentials (and thus Upper Floridan aquifer (UFA) recharge rates) decreased by about 18 percent per site between 2000-2004. This pattern can be associated with reductions in ground-water withdrawals from the UFA that occurred after 2000 as the peninsula emerged from a 3-year drought. Monthly differentials exhibited a well-defined seasonal pattern in which UFA recharge rates were greatest during the dry spring months (8 percent above the 5-year daily mean in May) and least during the wetter summer/early fall months (4 percent below the 5-year daily mean in October). In contrast, differentials exceeded the 5-year daily mean in all but 2 months of 2000, indicative of relatively high ground-water withdrawals throughout the year. On average, the UFA received about 6 percent more recharge at the project sites in 2000 than between 2000-2004.\r\n\r\nNo statistically significant correlations were detected between monthly differentials and precipitation at 27 of the 29 sites between 2000-2004. For longer periods of record, double-mass plots of differentials and precipitation indicate the UFA recharge rate increased by about 34 percent at a site in west Orange County between the periods of 1974-1983 and 1983-2004. Given the absence of a trend in rainfall, the increase can likely be attributed to ground-water development. At a site in south Lake County, double-mass plots indicate that dredging of the Palatlakaha River and other nearby drainage improvements may have reduced recharge rates to the UFA by about 30 percent from the period between 1960-1965 to 1965-1970.\r\n\r\nWater-level differentials were positively correlated with land-surface altitude. The correlation was particularly strong for the 11 sites located in physiographically-defined ridge areas (coefficient of determination (R2) = 0.89). Weaker yet statistically significant negative correlations were detected between differentials and the model-calibrated leakance and thickness of the intermediate confining unit (ICU).\r\n\r\nRecharge to the UFA decreased by about 14 percent at the Charlotte Street monitoring-well site in Seminole County between 2000-2004. The decrease can be attributed to a reduction in nearby pumpage, from 57 to 49 million gallons per day over the 5-year period, with a subsequent recovery in UFA water levels that exceeded those in the SAS.\r\n\r\nDifferentials at Charlotte were influenced by system memory of both precipitation and pumpage. While not statistically correlated with monthly precipitation, monthly differentials were well correlated with the 9-month moving average of precipitation. Similarly, differentials were best correlated with the 2-month moving average of pumpage. The polynomial function that quantifies the correlation between differentials and the 2-month moving average of pumpage indicates that, in terms of UFA recharge rates, the system was closer to a steady-state condition in 2000 when pumpage rates were high, than from 2001-2004 when p","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075081","collaboration":"Prepared in cooperation with St. Johns River Water Management District","usgsCitation":"Murray, L.C., 2007, Analyses of Water-Level Differentials and Variations in Recharge between the Surficial and Upper Floridan Aquifers in East-Central and Northeast Florida: U.S. Geological Survey Scientific Investigations Report 2007-5081, viii, 58 p., https://doi.org/10.3133/sir20075081.","productDescription":"viii, 58 p.","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":122356,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5081.jpg"},{"id":10305,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5081/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83,27 ], [ -83,31 ], [ -80,31 ], [ -80,27 ], [ -83,27 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db68382d","contributors":{"authors":[{"text":"Murray, Louis C. Jr.","contributorId":19980,"corporation":false,"usgs":true,"family":"Murray","given":"Louis","suffix":"Jr.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":292690,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80474,"text":"ofr20071280 - 2007 - Metallogeny of Mesoproterozoic sedimentary rocks in Idaho and Montana - Studies by the Mineral Resources Program, U.S. Geological Survey, 2004-2007","interactions":[],"lastModifiedDate":"2022-06-03T21:14:44.777819","indexId":"ofr20071280","displayToPublicDate":"2007-10-02T00:00:00","publicationYear":"2007","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":"2007-1280","title":"Metallogeny of Mesoproterozoic sedimentary rocks in Idaho and Montana - Studies by the Mineral Resources Program, U.S. Geological Survey, 2004-2007","docAbstract":"Preface\r\n\r\nBy J.Michael O'Neill\r\n\r\nThe major emphasis of this project was to extend and refine the known Mesoproterozoic geologic and metallogenic framework of the region along and adjacent to the Idaho-Montana boundary north of the Snake River Plain. The Mesoproterozoic metasedimentary rocks in this part of east-central Idaho host important Cu-Co-Au stratabound mineral resources as well as younger, epigenetic hydrothermal, sulfide base-metal mineral deposits. Two tasks of this study were to more accurately understand and portray the character and origin of cobalt-copper-gold deposits that compose the Idaho cobalt belt and specifically to analyze ore mineralogy and metallogenesis within the Blackbird mining district in the central part of the belt. Inasmuch as the cobalt belt is confined to the Mesoproterozoic Lemhi Group strata of east-central Idaho, geologic investigations were also undertaken to determine the relationship between strata of the Lemhi Group and the more extensive, noncobalt-bearing, Belt-Purcell Supergroup strata to the north and northwest.\r\n\r\nAbrupt lateral differences in the character and thickness of stratigraphic units in the Mesoproterozoic Lemhi Basin may indicate differential sedimentation in contemporaneous fault-bounded subbasins. It is suggested that northeast-trending basement faults of the Great Falls tectonic zone controlled development of the subbasins. O'Neill and others (chapter A, this volume) document a second major basement fault in this area, the newly recognized northwest-striking Great Divide megashear, a zone 1-2 km wide of left-lateral strike-slip faults active during Mesoproterozoic sedimentation and bounding the Cu-Co belt on the northwest. The megashear is a crustal-scale tectonic feature that separates Lemhi Group strata from roughly coeval Belt-Purcell strata to the north and northwest in Montana and northern Idaho.\r\n\r\nThe results of numerous geologic investigations of the Cu- and Co-bearing Mesoproterozoic rocks of east-central Idaho are integrated and summarized by Bookstrom and others (chapter B, this volume). In particular, their field investigations and analysis of evidence and previous arguments for synsedimentary versus epigenetic mineral deposit types, both of which have been postulated by earlier workers, led them to conclude that both processes were likely instrumental in forming the ore deposits of the Blackbird district.\r\n\r\nFinally, this report supplies new data on isotopic ratios of sulfur, oxygen, carbon, and helium in minerals associated with cobalt-bearing ores of the cobalt belt. Slack (chapter C, this volume) identified several previously unrecognized rare-earth-element minerals in Blackbird ores: monazite (Ce,La,Y,Th)PO4, xenotime (YPO4), allanite (CaCe)2(Al,Fe)3Si3O12(OH), and gadolinite (Be2FeY2Si2O10). Light rare-earth elements reside mostly in monazite, whereas yttrium and heavy rare-earth minerals reside mostly in xenotime. Dated monazite, which in the Blackbird district is interstitial to cobaltite, is Cretaceous. This date brings into question the otherwise geologically convincing interpretation of Blackbird ores as being of Mesoproterozoic age and synsedimentary origin.\r\n\r\nThis volume consists of three summary articles:\r\n\r\nA. Great Divide megashear, Montana, Idaho, and Washington: An intraplate crustal-scale shear zone recurrently active since the Mesoproterozoic by J. Michael O'Neill, Edward T. Ruppel, and David A. Lopez\r\n\r\nB. Blackbird Fe-Cu-Co-Au-REE deposits by Arthur A. Bookstrom, Craig A. Johnson, Gary P. Landis, and Thomas P. Frost\r\n\r\nC. Geochemical and mineralogical studies of sulfide and iron oxide deposits in the Idaho cobalt belt by John F. Slack","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071280","usgsCitation":"2007, Metallogeny of Mesoproterozoic sedimentary rocks in Idaho and Montana - Studies by the Mineral Resources Program, U.S. Geological Survey, 2004-2007 (Version 1.0): U.S. Geological Survey Open-File Report 2007-1280, v, 28 p., https://doi.org/10.3133/ofr20071280.","productDescription":"v, 28 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192458,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10302,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1280/","linkFileType":{"id":5,"text":"html"}},{"id":401725,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81839.htm"}],"country":"United States","state":"Idaho, Montana","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-111.044156,43.020052],[-111.046689,42.001567],[-112.173352,41.996568],[-112.192976,42.001167],[-112.709375,42.000309],[-113.893261,41.988057],[-114.041723,41.99372],[-114.598267,41.994511],[-114.831077,42.002207],[-115.031783,41.996008],[-117.026222,42.000252],[-117.02678,43.829841],[-117.01077,43.862269],[-116.98294,43.86771],[-116.977332,43.905812],[-116.96247,43.928336],[-116.963666,43.952644],[-116.971835,43.962806],[-116.942944,43.987512],[-116.934485,44.021249],[-116.943361,44.035645],[-116.972504,44.048771],[-116.977351,44.085364],[-116.933704,44.100039],[-116.894309,44.158114],[-116.900103,44.176851],[-116.925392,44.191544],[-116.971675,44.197256],[-116.975905,44.242844],[-117.031862,44.248635],[-117.042283,44.242775],[-117.050057,44.22883],[-117.089503,44.258234],[-117.098531,44.275533],[-117.107673,44.280763],[-117.118018,44.278945],[-117.143394,44.258262],[-117.170342,44.25889],[-117.198147,44.273828],[-117.222647,44.297578],[-117.217843,44.30718],[-117.2055,44.311789],[-117.189842,44.335007],[-117.196149,44.346362],[-117.235117,44.373853],[-117.242675,44.396548],[-117.22698,44.405583],[-117.215072,44.427162],[-117.215573,44.453746],[-117.225076,44.482346],[-117.200237,44.492027],[-117.181583,44.52296],[-117.161033,44.525166],[-117.149242,44.536151],[-117.14293,44.557236],[-117.147934,44.562143],[-117.146032,44.568603],[-117.126009,44.581553],[-117.120522,44.614658],[-117.098221,44.640689],[-117.095868,44.664737],[-117.07912,44.692175],[-117.061799,44.706654],[-117.062273,44.727143],[-117.03827,44.748179],[-117.013802,44.756841],[-116.998903,44.756382],[-116.972902,44.772581],[-116.9368,44.782881],[-116.9308,44.790981],[-116.931099,44.804781],[-116.896249,44.84833],[-116.865338,44.870599],[-116.852427,44.887577],[-116.83199,44.933007],[-116.850737,44.958113],[-116.858313,44.978761],[-116.846103,44.999878],[-116.848037,45.021728],[-116.797329,45.060267],[-116.78371,45.076972],[-116.783537,45.093605],[-116.774847,45.105536],[-116.754643,45.113972],[-116.731216,45.139934],[-116.724205,45.171501],[-116.709536,45.203015],[-116.703607,45.239757],[-116.691388,45.263739],[-116.675587,45.274867],[-116.672733,45.283183],[-116.673793,45.321511],[-116.619057,45.39821],[-116.597447,45.41277],[-116.588195,45.44292],[-116.554829,45.46293],[-116.558803,45.480076],[-116.548676,45.510385],[-116.523638,45.54661],[-116.502756,45.566608],[-116.48297,45.577008],[-116.463635,45.602785],[-116.463504,45.615785],[-116.487894,45.649769],[-116.535396,45.691734],[-116.535698,45.734231],[-116.546643,45.750972],[-116.593004,45.778541],[-116.632032,45.784979],[-116.646342,45.779815],[-116.665344,45.781998],[-116.680139,45.79359],[-116.697192,45.820135],[-116.711822,45.826267],[-116.736268,45.826179],[-116.759787,45.816167],[-116.782676,45.825376],[-116.788329,45.831928],[-116.790151,45.849851],[-116.814142,45.877551],[-116.84355,45.892273],[-116.859795,45.907264],[-116.892935,45.974396],[-116.91868,45.999875],[-116.942656,46.061],[-116.957372,46.075449],[-116.978938,46.080007],[-116.981962,46.084915],[-116.978823,46.095731],[-116.955263,46.102237],[-116.950276,46.123464],[-116.922648,46.160744],[-116.923958,46.17092],[-116.965841,46.203417],[-116.955264,46.23088],[-116.966742,46.256923],[-116.991134,46.276342],[-116.986688,46.296662],[-117.020663,46.314793],[-117.027744,46.338751],[-117.051735,46.343833],[-117.06263,46.352522],[-117.062785,46.365287],[-117.046915,46.379577],[-117.034696,46.418318],[-117.039813,46.425425],[-117.042657,47.760857],[-117.032351,48.999188],[-104.048736,48.999877],[-104.041662,47.862282],[-104.046822,46.000199],[-104.040128,44.999987],[-105.913382,45.000941],[-105.928184,44.993647],[-106.263586,44.993788],[-107.351441,45.001407],[-109.08301,44.99961],[-109.103445,45.005904],[-110.110103,45.003905],[-110.199503,44.996188],[-110.362698,45.000593],[-110.402927,44.99381],[-110.552433,44.992237],[-110.705272,44.992324],[-110.785008,45.002952],[-111.055199,45.001321],[-111.044156,43.020052]]]},\"properties\":{\"name\":\"Idaho\",\"nation\":\"USA  \"}}]}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4fe4b07f02db628738","contributors":{"editors":[{"text":"O’Neill, J. Michael jmoneill@usgs.gov","contributorId":99522,"corporation":false,"usgs":true,"family":"O’Neill","given":"J.","email":"jmoneill@usgs.gov","middleInitial":"Michael","affiliations":[],"preferred":false,"id":749300,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":80472,"text":"cir1317 - 2007 - Understanding Metal Pathways in Mineralized Ecosystems","interactions":[],"lastModifiedDate":"2018-10-22T11:26:49","indexId":"cir1317","displayToPublicDate":"2007-09-29T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1317","title":"Understanding Metal Pathways in Mineralized Ecosystems","docAbstract":"Successful management of ecosystems containing historical mine wastes requires understanding of processes that are responsible for the distribution, concentration, and bioavailability of potentially toxic elements. U.S. Geological Survey (USGS) scientists recently completed several investigations at historical mine sites in the western United States. These investigations have improved our understanding of how metals are mobilized from mineralized sources, are transported through the environment, and become available to humans and other biota. The new information is being used by Federal, State, and local agencies that manage and remediate abandoned mine lands.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/cir1317","usgsCitation":"Balistrieri, L.S., Foster, A.L., Gough, L.P., Gray, F., Rytuba, J.J., and Stillings, L., 2007, Understanding Metal Pathways in Mineralized Ecosystems: U.S. Geological Survey Circular 1317, iv, 12 p., https://doi.org/10.3133/cir1317.","productDescription":"iv, 12 p.","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":304,"text":"Geology DisciplineMineral Resources Program","active":false,"usgs":true}],"links":[{"id":194741,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10300,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/2007/1317/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f78b","contributors":{"authors":[{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"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":292671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":292672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gough, Larry P. lgough@usgs.gov","contributorId":1230,"corporation":false,"usgs":true,"family":"Gough","given":"Larry","email":"lgough@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":292670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":292669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rytuba, James J. jrytuba@usgs.gov","contributorId":3043,"corporation":false,"usgs":true,"family":"Rytuba","given":"James","email":"jrytuba@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":292673,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":3143,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa L.","email":"stilling@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":292674,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":80453,"text":"sir20065309 - 2007 - Effect of storms on barrier island dynamics, Core Banks, Cape Lookout National Seashore, North Carolina, 1960-2001","interactions":[],"lastModifiedDate":"2024-04-22T19:31:19.677416","indexId":"sir20065309","displayToPublicDate":"2007-09-28T00:00:00","publicationYear":"2007","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":"2006-5309","title":"Effect of storms on barrier island dynamics, Core Banks, Cape Lookout National Seashore, North Carolina, 1960-2001","docAbstract":"<p>The effect of storms on long-term dynamics of barrier islands was evaluated on Core Banks, a series of barrier islands that extend from Cape Lookout to Okracoke Inlet in the Cape Lookout National Seashore, North Carolina. Shoreline and elevation changes were determined by comparing 77 profiles and associated reference markers established by the U.S. Army Corps of Engineers (USACE) on Core Banks from June 1960 to July 1962 to a follow-up survey by Godfrey and Godfrey (G&G) in 1971 and a survey by the Department of Geology at East Carolina University (ECU) in 2001, in which 57 of the original 77 profiles were located.</p>\n<br>\n<p>Evaluation of the baseline data associated with the USACE study supplies an important record of barrier island response to two specific storm events—Hurricane Donna in September 1960 and the Ash Wednesday extra-tropical cyclone in March 1962. The 1962 USACE survey was followed by 9 years characterized by no major storms; this low-energy period was captured by the G&G survey in 1971. The G&G survey was followed by 22 years characterized by occasional small to moderate storms. Starting in 1993, however, and continuing through 1999, the North Carolina coast experienced a major increase in storm activity, with seven major hurricanes impacting Core Banks.</p>\n<br>\n<p>Both the USACE 1960–1962 and G&G 1962–1971 surveys produced short-term data sets that reflected very different sets of weather conditions. The ECU 2001 survey data were then compared with the USACE 1960 survey data to develop a long-term (41 years) data set for shoreline erosion on Core Banks. Those resulting long-term data were compared with the long-term (52 years) data sets by the North Carolina Division of Coastal Management (NCDCM) from 1940–1992 and 1946–1998; a strong positive correlation and very similar rates of average annual erosion resulted. However, the ECU and NCDCM long-term data sets did not correlate with either of the USACE and G&G short-term survey data and had very different average annual erosion rates.</p>\n<br>\n<p>The average annual long-term rate of shoreline erosion for all of Core Banks and for both the ECU 1960–2001 and the NCDCM 1946–1998 surveys was -5 feet per year (ft/yr). These long-term rates of shoreline recession are in strong contrast with the short-term, storm-dominated rates of shoreline erosion for all of Core Banks developed by the USACE 1960–1961 and USACE 1961–1962 surveys, which have average annual erosion rates of -40 ft/yr and -26 ft/yr, respectively, and range from -226 feet (ft) to +153 ft. The combined short-term, storm-dominated shoreline erosion rate for the USACE surveys (1960–1962) was -36 ft/yr. In contrast, the average annual short-term, non-stormy period G&G 1962–1971 survey demonstrated shoreline accretion for all of Core Banks with an average annual rate of +12 ft/yr. In general, North Core Banks has higher erosion and accretion rates than South Core Banks.</p>\n<br>\n<p>In the 1961 survey, the USACE installed 231 reference markers (RM-0 is closest to the ocean and RM-2 is farthest from the ocean) along the 77 profiles, as well as 33 reference markers labeled RM-4, RM-6, and RM-8 in the wider portions of the islands. The G&G survey recovered a total of 141 reference markers (61 percent), and the ECU survey recovered a total of 83 reference markers (36 percent) of the RM-0, RM-1, and RM-2 markers. The average ground elevation measured by the USACE in 1961 was RM-0 = +5.8 ft, RM-1 = +5.2 ft, and RM-2 = +4.8 ft. The G&G 1970 survey measured average ground elevations of RM-0 = +6.7 ft, RM-1 = +6.4 ft, and RM-2 = +6.1 ft, and the average ground elevation measured by ECU in 2001 was RM-0 = +10.1 ft, RM-1 = +9.1 ft, and RM-2 = +8.5 ft. The latter numbers represent approximately an overall 72-percent increase in island elevation from 1961 to 2001. Based on aerial photographic time-slice analyses, it is hypothesized that this increase in island elevation occurred during the post-1962 period with storm overwash systematically raising the island elevation through time, which in turn led to decreased numbers of overwash events. The latter processes and responses in turn led to a substantial increase in vegetative growth on the barrier island, as well as submerged aquatic vegetation on the back-barrier sand shoals.</p>\n<br>\n<p>Integration of the USACE, G&G, ECU, and NCDCM shoreline erosion data for Core Banks shows several important points about shoreline recession. (1) The ECU and NCDCM data sets demonstrate that there is an ongoing net, long-term, but small-scale shoreline recession associated with Core Banks; (2) the USACE short-term data sets demonstrate that processes associated with individual storm events or sets of events produce extremely large-scale changes that include both erosion and accretion; (3) the short-term, non-stormy period data set of G&G demonstrates that if given enough time between storm events, barriers can rebuild to their pre-storm period conditions; and (4) the post-storm response generally tends to approach the pre-storm location, but rarely reaches it before the next storm or stormy period sets in. The result is the net long-term change documented by both the ECU 1960–2001 and NCDCM 1946–1998 Core Banks data sets that resulted in erosion rates ranging from 0 to -30 ft/yr with net annual average recession rates of -5 ft/yr.</p>\n<br>\n<p>Analysis and comparison of these data sets supply important information for understanding the dynamics and responses of barrier island systems through time. In addition, the results of the present study on Core Banks supply essential process-response information that can be used to design and implement management plans for the Cape Lookout and Cape Hatteras National Seashores and for other seashores in the U.S. National Park Service system.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065309","collaboration":"Prepared in cooperation with the National Park Service and East Carolina University","usgsCitation":"Riggs, S., and Ames, D.V., 2007, Effect of storms on barrier island dynamics, Core Banks, Cape Lookout National Seashore, North Carolina, 1960-2001: U.S. Geological Survey Scientific Investigations Report 2006-5309, x, 73 p., https://doi.org/10.3133/sir20065309.","productDescription":"x, 73 p.","numberOfPages":"85","temporalStart":"1960-01-01","temporalEnd":"2001-12-31","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":428013,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81818.htm","linkFileType":{"id":5,"text":"html"}},{"id":293757,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2006/5309/pdf/sir2006-5309.pdf"},{"id":10278,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5309/","linkFileType":{"id":5,"text":"html"}},{"id":192095,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20065309.PNG"}],"country":"United States","state":"North Carolina","otherGeospatial":"Barrier Island, Core Banks, Cape Lookout National Seashore","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.5744,34.5787 ], [ -76.5744,35.2783 ], [ -75.4881,35.2783 ], [ -75.4881,34.5787 ], [ -76.5744,34.5787 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db625795","contributors":{"authors":[{"text":"Riggs, Stanley R.","contributorId":25983,"corporation":false,"usgs":true,"family":"Riggs","given":"Stanley R.","affiliations":[],"preferred":false,"id":292609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ames, Dorothea V.","contributorId":51394,"corporation":false,"usgs":true,"family":"Ames","given":"Dorothea","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":292610,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80449,"text":"ofr20071244 - 2007 - Escherichia coli and Suspended Sediment in Berger Ditch at Maumee Bay State Park, Oregon, Ohio, 2006","interactions":[],"lastModifiedDate":"2012-03-08T17:16:21","indexId":"ofr20071244","displayToPublicDate":"2007-09-27T00:00:00","publicationYear":"2007","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":"2007-1244","title":"Escherichia coli and Suspended Sediment in Berger Ditch at Maumee Bay State Park, Oregon, Ohio, 2006","docAbstract":"Berger Ditch discharges to the marina at Maumee Bay State Park (MBSP), just east of the MBSP bathing beach. Recent studies by U.S. Geological Survey (USGS) and University of Toledo researchers have identified the ditch as a source of Escherichia coli (E. coli), an indicator bacterium that is used to assess recreational water quality. An automatic sampler was installed at a USGS streamgage on Berger Ditch. Samples were collected as a function of streamflow, including negative flow conditions. Instantaneous discharges of E. coli and suspended sediment from Berger Ditch were calculated. When samples were collected, streamflow ranged from -21 to 227 cubic feet per second (ft3/s) and over the entire time period, streamflow ranged from -23 to 243 ft3/s. Discharges of E. coli ranged from 2.5 ? 108 to greater than 2.6 ? 1010 colony-forming units per second (cfu/s), and suspended-sediment discharges ranged from 0.01 to 2.2 kilograms per second (kg/s). One sample was collected during negative flow conditions, and discharges of E. coli and suspended sediment in this sample were -4.3 ? 108 cfu/s and -0.015 kg/s, respectively.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071244","usgsCitation":"Brady, A., 2007, Escherichia coli and Suspended Sediment in Berger Ditch at Maumee Bay State Park, Oregon, Ohio, 2006: U.S. Geological Survey Open-File Report 2007-1244, iv, 6 p., https://doi.org/10.3133/ofr20071244.","productDescription":"iv, 6 p.","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":190945,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10275,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1244/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a82b7","contributors":{"authors":[{"text":"Brady, Amie M. G.","contributorId":29774,"corporation":false,"usgs":true,"family":"Brady","given":"Amie M. G.","affiliations":[],"preferred":false,"id":292600,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80394,"text":"ofr20071163 - 2007 - Geophysical framework investigations influencing ground-water resources in east-central Nevada and west-central Utah, with a section on geologic and geophysical basin by basin descriptions","interactions":[],"lastModifiedDate":"2022-06-14T21:49:28.787524","indexId":"ofr20071163","displayToPublicDate":"2007-09-22T00:00:00","publicationYear":"2007","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":"2007-1163","title":"Geophysical framework investigations influencing ground-water resources in east-central Nevada and west-central Utah, with a section on geologic and geophysical basin by basin descriptions","docAbstract":"A geophysical investigation was undertaken as part of an effort to characterize the geologic framework influencing ground-water resources in east-central Nevada and west-central Utah. New gravity data were combined with existing aeromagnetic, drill-hole, and geologic data to help determine basin geometry, infer structural features, estimate depth to pre-Cenozoic basement rocks, and further constrain the horizontal extents of exposed and buried plutons. In addition, a three-dimensional (3D) geologic model was constructed to help illustrate the often complex geometries of individual basins and aid in assessing the connectivity of adjacent basins. In general, the thirteen major valleys within the study area have axes oriented north-south and frequently contain one or more sub-basins. These basins are often asymmetric and typically reach depths of 2 km. Analysis of gravity data helped delineate geophysical lineaments and accommodation zones. Structural complexities may further compartmentalize ground-water flow within basins and the influence of tectonics on basin sedimentation further complicates their hydrologic properties.\r\n\r\nThe horizontal extent of exposed and, in particular, buried plutons was estimated over the entire study area. The location and subsurface extents of these plutons will be very important for regional water resource assessments, as these features may act as either barriers or pathways for groundwater flow. A previously identified basement gravity low strikes NW within the study area and occurs within a highly extended terrane between the Butte and Confusion synclinoria. Evidence from geophysical, geologic, and seismic reflection data suggests relatively lower density plutonic rocks may extend to moderate crustal depths and rocks of similar composition may be the source of the entire basement gravity anomaly.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071163","collaboration":"Prepared in cooperation with the Bureau of Land Management (BLM)","usgsCitation":"Watt, J.T., Ponce, D.A., and Wallace, A., 2007, Geophysical framework investigations influencing ground-water resources in east-central Nevada and west-central Utah, with a section on geologic and geophysical basin by basin descriptions (Version 1.0): U.S. Geological Survey Open-File Report 2007-1163, Report: iv, 43 p.;  2 Plates: 18.00 × 23.15 inches and 18.00 × 23.90 inches, https://doi.org/10.3133/ofr20071163.","productDescription":"Report: iv, 43 p.;  2 Plates: 18.00 × 23.15 inches and 18.00 × 23.90 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":314,"text":"Geophysics Unit of Menlo Park, CA (GUMP)","active":false,"usgs":true}],"links":[{"id":194373,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402190,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81795.htm"},{"id":10217,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1163/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.5,\n              37\n            ],\n            [\n              -113,\n              37\n            ],\n            [\n              -113,\n              40.5\n            ],\n            [\n              -116.5,\n              40.5\n            ],\n            [\n              -116.5,\n              37\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c48a","contributors":{"authors":[{"text":"Watt, Janet T. 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":8564,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":292438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":292437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallace, Alan R.","contributorId":287598,"corporation":false,"usgs":false,"family":"Wallace","given":"Alan R.","affiliations":[{"id":61619,"text":"USGS emeritus, not in Active Directory","active":true,"usgs":false}],"preferred":false,"id":844689,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80386,"text":"ofr20071191 - 2007 - The geology of Six Mile Reef, eastern Long Island Sound","interactions":[],"lastModifiedDate":"2025-09-11T13:20:24.031072","indexId":"ofr20071191","displayToPublicDate":"2007-09-21T00:00:00","publicationYear":"2007","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":"2007-1191","title":"The geology of Six Mile Reef, eastern Long Island Sound","docAbstract":"<p>Digital terrain models, which can be produced from multibeam bathymetric data, are ordered arrays of depths for a number of sea-floor positions sampled at regularly spaced intervals. These models provide valuable base maps for marine geological interpretations that help define the variability of the sea floor (one of the primary controls of benthic habitat diversity), improve our understanding of the processes that control the distribution and transport of bottom sediments and the distribution of benthic habitats, and provide a detailed framework to guide and assist future research, monitoring, and management activities.</p><p>The bathymetry interpreted herein was processed from data collected by National Oceanic and Atmospheric Administration vessels during hydrographic surveys H11361 and H11252. These surveys mapped roughly 156 km² of sea floor in the vicinity of Six Mile Reef, an area of eastern Long Island Sound where the sea floor is characterized by fields of large sand waves and an east-west decreasing gradient of bottom tidal-current speeds (fig. 1). Interpretations of the bathymetry are supplemented by concurrently collected seismic reflection data, as well as archived historic seismic profiles, sediment samples and bottom photography collected as part of a long-standing geologic mapping partnership between the State of Connecticut and the U.S. Geological Survey (fig. 2). The purpose of this digital report is 1) to provide the acoustic data layers produced during the above mentioned surveys, 2) to use them to describe the sea-floor character and bedform morphologies near Six Mile Reef, and 3) to relate these descriptions to ongoing processes and sedimentary environments.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071191","usgsCitation":"Poppe, L., Denny, J.F., Williams, S., Moser, M.S., Forfinski, N., Stewart, H., and Doran, E.F., 2007, The geology of Six Mile Reef, eastern Long Island Sound: U.S. Geological Survey Open-File Report 2007-1191, HTML Document, https://doi.org/10.3133/ofr20071191.","productDescription":"HTML Document","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":191382,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20071191.PNG"},{"id":10209,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1191/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Connecticut, New York","otherGeospatial":"Long Island Sound, Six Mile Reef","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-72.53859631199987, 41.218613803000096], [-72.39995053699988, 41.21874296300012], [-72.39917557899993, 41.1488675590001], [-72.50685172499993, 41.147174132000096], [-72.53914165299989, 41.148437027000035], [-72.53973895299993, 41.152452098000126], [-72.63745415599995, 41.15135684000012], [-72.64780867799993, 41.15392906600014], [-72.64759869999995, 41.15795801200005], [-72.64501335099993, 41.158863541000116], [-72.64858296999994, 41.163627408000174], [-72.64573312599987, 41.167984378000064], [-72.64748058799995, 41.178325842000085], [-72.64573514899983, 41.18675119500003], [-72.64807114999985, 41.18816854400017], [-72.64556454199987, 41.188890342000015], [-72.64757245299991, 41.19235497300006], [-72.64555141799985, 41.195898344999996], [-72.64868883399991, 41.198774326000034], [-72.64586602199995, 41.20452898600011], [-72.64558737499988, 41.21457238100004], [-72.53995891699992, 41.214048287000175], [-72.53859631199987, 41.218613803000096]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-72.64868883399991, 41.14704497200005, -72.39817100399995, 41.21874296300012], \"type\": \"Feature\", \"id\": \"3091886\"}","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c591","contributors":{"authors":[{"text":"Poppe, L.J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.J.","affiliations":[],"preferred":false,"id":292415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denny, J. 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,{"id":80383,"text":"ofr20071281 - 2007 - Quaternary stratigraphy, drainage-basin development, and geomorphology of the Lake Manix basin, Mojave Desert: Guidebook for fall field trip, Friends of the Pleistocene, Pacific Cell, October 4-7, 2007","interactions":[],"lastModifiedDate":"2022-06-03T21:22:38.393479","indexId":"ofr20071281","displayToPublicDate":"2007-09-19T00:00:00","publicationYear":"2007","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":"2007-1281","title":"Quaternary stratigraphy, drainage-basin development, and geomorphology of the Lake Manix basin, Mojave Desert: Guidebook for fall field trip, Friends of the Pleistocene, Pacific Cell, October 4-7, 2007","docAbstract":"The 2007 field trip of the Pacific Cell, Friends of the Pleistocene, visited features of the Quaternary geology and geomorphology of the Lake Manix basin in the Mojave Desert. This report is the guidebook for this trip and includes some discussion of relations observable along the road and at various field trip stops. The Mojave River originates in the San Bernardino Mountains and in high-water years flows north and east to its terminus in Silver Lake playa north of Baker, Calif. Along this course, the river passes through or near several basins that were internally drained prior to integration by the Mojave River, including the Victorville, Harper, Manix, and Soda Lake basins. Sediments in the Lake Manix basin record Mojave River discharge and lake fluctuations that began during the middle Pleistocene and continued through most of the late Pleistocene.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071281","usgsCitation":"Reheis, M., Miller, D., and Redwine, J.L., 2007, Quaternary stratigraphy, drainage-basin development, and geomorphology of the Lake Manix basin, Mojave Desert: Guidebook for fall field trip, Friends of the Pleistocene, Pacific Cell, October 4-7, 2007 (Version 1.0): U.S. Geological Survey Open-File Report 2007-1281, iv, 31 p., https://doi.org/10.3133/ofr20071281.","productDescription":"iv, 31 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":191568,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":401726,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81721.htm"},{"id":10206,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1281/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Lake Manix basin, Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.8833,\n              35.125\n            ],\n            [\n              -116.3333,\n              35.125\n            ],\n            [\n              -116.3333,\n              34.7792\n            ],\n            [\n              -116.8833,\n              34.7792\n            ],\n            [\n              -116.8833,\n              35.125\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685c29","contributors":{"authors":[{"text":"Reheis, Marith C. 0000-0002-8359-323X","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":101244,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith C.","affiliations":[],"preferred":false,"id":292406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":292405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Redwine, Joanna L.","contributorId":104581,"corporation":false,"usgs":true,"family":"Redwine","given":"Joanna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":292407,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80319,"text":"ofr20071264 - 2007 - Lava flow hazard assessment, as of August 2007, for Kīlauea east rift zone eruptions, Hawai‘i Island","interactions":[],"lastModifiedDate":"2021-08-24T12:22:31.035571","indexId":"ofr20071264","displayToPublicDate":"2007-09-01T00:00:00","publicationYear":"2007","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":"2007-1264","title":"Lava flow hazard assessment, as of August 2007, for Kīlauea east rift zone eruptions, Hawai‘i Island","docAbstract":"The most recent episode in the ongoing Pu'u 'O'o-Kupaianaha eruption of Kilauea Volcano is currently producing lava flows north of the east rift zone. Although they pose no immediate threat to communities, changes in flow behavior could conceivably cause future flows to advance downrift and impact communities thus far unaffected. This report reviews lava flow hazards in the Puna District and discusses the potential hazards posed by the recent change in activity. Members of the public are advised to increase their general awareness of these hazards and stay up-to-date on current conditions.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071264","usgsCitation":"Kauahikaua, J., 2007, Lava flow hazard assessment, as of August 2007, for Kīlauea east rift zone eruptions, Hawai‘i Island (Version 1.0): U.S. Geological Survey Open-File Report 2007-1264, iii, 9 p., https://doi.org/10.3133/ofr20071264.","productDescription":"iii, 9 p.","onlineOnly":"Y","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":190952,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10143,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1264/","linkFileType":{"id":5,"text":"html"}},{"id":388383,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81675.htm"}],"country":"United States","state":"Hawaii","otherGeospatial":"Hawaii Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.621337890625,\n              18.828316252698386\n            ],\n            [\n              -154.62158203125,\n              19.445874298215937\n            ],\n            [\n              -155.4840087890625,\n              20.3034175184893\n            ],\n            [\n              -155.9674072265625,\n              20.33432561683554\n            ],\n            [\n              -156.2091064453125,\n              19.777042202225964\n            ],\n            [\n              -156.09375,\n              19.197053439464852\n            ],\n            [\n              -155.621337890625,\n              18.828316252698386\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a89c0","contributors":{"authors":[{"text":"Kauahikaua, Jim","contributorId":47366,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"Jim","email":"","affiliations":[],"preferred":false,"id":292244,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80300,"text":"sir20075129 - 2007 - Relation between precipitation and the 25th percentile of June and September flows in streams in the Great Lakes, Ohio, and Upper Mississippi River Basins","interactions":[],"lastModifiedDate":"2016-04-01T14:12:27","indexId":"sir20075129","displayToPublicDate":"2007-08-31T00:00:00","publicationYear":"2007","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":"2007-5129","title":"Relation between precipitation and the 25th percentile of June and September flows in streams in the Great Lakes, Ohio, and Upper Mississippi River Basins","docAbstract":"<p>Regression models were developed for the 25th percentile of June and September flows (first quartile of flow) for 47 streamflow-gaging stations (gaging stations) in the Upper Mississippi, Ohio, and Great Lakes drainage basins. The gaging stations that were selected for this analysis are on unregulated rivers, have at least 40 years of record, and have a nearby weather station with at least 70 years of precipitation record. Regression models were developed for each gaging station relating annual 25th percentile of June and September flows to selected precipitation variables. The explanatory variables are monthly precipitation (April-June, July-September) for each year of record, precipitation for the previous year, and average precipitation for the preceding 5-, 10-, 15-, 20-, 25-, and 30-year periods. Short-term precipitation (April-June or July-September monthly precipitation) variables are the most common significant variables in the regression equations for the 25th percentile of June and September streamflows. May and June monthly precipitation are the most common significant variables among the regression models of the 25th percentile of June flows. August and September monthly precipitation are the most common significant variables in the regression models of the 25th percentile of September streamflow. July precipitation also is a significant explanatory variable in regression models of September streamflow. The 25th-percentile flows in this study also are related to intermediate- and long-term precipitation variables. The intermediate-term precipitation variable (previous-year's precipitation) has a more distinct spatial pattern than the long-term precipitation variable (multiyear running averages of annual precipitation) and is more likely to be significant in the western part than in the eastern part of the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20075129","usgsCitation":"Winterstein, T.A., and Lorenz, D.L., 2007, Relation between precipitation and the 25th percentile of June and September flows in streams in the Great Lakes, Ohio, and Upper Mississippi River Basins: U.S. Geological Survey Scientific Investigations Report 2007-5129, iv, 22 p., https://doi.org/10.3133/sir20075129.","productDescription":"iv, 22 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":392,"text":"Minnesota Water Science 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lorenz@usgs.gov","orcid":"https://orcid.org/0000-0003-3392-4034","contributorId":1384,"corporation":false,"usgs":true,"family":"Lorenz","given":"David","email":"lorenz@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292206,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80262,"text":"ofr20071150 - 2007 - Sidescan-sonar imagery, multibeam bathymetry, and surficial geologic interpretations of the sea floor in Rhode Island Sound, off Sakonnet Point, Rhode Island","interactions":[],"lastModifiedDate":"2025-07-29T18:58:29.426611","indexId":"ofr20071150","displayToPublicDate":"2007-08-28T00:00:00","publicationYear":"2007","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":"2007-1150","title":"Sidescan-sonar imagery, multibeam bathymetry, and surficial geologic interpretations of the sea floor in Rhode Island Sound, off Sakonnet Point, Rhode Island","docAbstract":"<p>The U.S. Geological Survey (USGS) is working with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries and sounds along the northeastern coast of the United States. This report interprets the area covered by NOAA Survey H11320, about 72 km² of sea floor in eastern Rhode Island Sound (RIS), located about 8 km south of Sakonnet Point, Rhode Island (fig. 1). Previous work in RIS includes studies of both sea-floor processes and subsurface geologic framework. McMaster (1960) mapped surficial sediment samples in Narragansett Bay and RIS and McMaster and others (1968) conducted a seismic-reflection survey in Block Island Sound and RIS. O'Hara and Oldale (1980) collected seismic-reflection profiles, sidescan-sonar data, and vibracores in eastern RIS (fig. 2). They interpreted the geologic history, assessed sand and gravel resources, and evaluated the mining impact of these resources. McMaster's (1960) interpretation of the surficial sediment within this study area consisted of sand with several isolated areas of gravel. Several other sediment samples were previously obtained within the study area: three National Oceanographic Data Center (NODC) dredge samples from 1942 consisted of sand and one National Ocean Service (NOS) sample from 1939 was rocky (fig. 2; Poppe and others, 2003). The purpose of this report is to define the sea-floor morphology and sedimentary environments and interpret processes occurring on the sea floor using sidescan-sonar imagery, multibeam bathymetry, and historic seismic-reflection profiles.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20071150","usgsCitation":"McMullen, K.Y., Poppe, L., Twomey, E.R., Danforth, W.W., Haupt, T.A., and Crocker, J.M., 2007, Sidescan-sonar imagery, multibeam bathymetry, and surficial geologic interpretations of the sea floor in Rhode Island Sound, off Sakonnet Point, Rhode Island: U.S. Geological Survey Open-File Report 2007-1150, Report: v, 34 p., https://doi.org/10.3133/ofr20071150.","productDescription":"Report: v, 34 p.","numberOfPages":"39","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":10082,"rank":3,"type":{"id":15,"text":"Index 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Center","active":true,"usgs":true}],"preferred":false,"id":292125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Twomey, Erin R.","contributorId":44860,"corporation":false,"usgs":true,"family":"Twomey","given":"Erin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":292129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":292126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haupt, Todd A.","contributorId":34602,"corporation":false,"usgs":true,"family":"Haupt","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":292128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crocker, James M.","contributorId":55094,"corporation":false,"usgs":true,"family":"Crocker","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":292130,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":80250,"text":"sir20075102 - 2007 - Environmental Setting of the Granger Drain and DR2 Basins, Washington, 2003-04","interactions":[],"lastModifiedDate":"2012-03-08T17:16:23","indexId":"sir20075102","displayToPublicDate":"2007-08-22T00:00:00","publicationYear":"2007","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":"2007-5102","title":"Environmental Setting of the Granger Drain and DR2 Basins, Washington, 2003-04","docAbstract":"The Granger Drain and DR2 basins are located in the Yakima River basin in south central Washington. These agricultural basins are one of five areas in the United States selected for study as part of the National Water-Quality Assessment Program Agricultural Chemicals: Source, Transport, and Fate Study. The Program is designed to describe water-quality conditions and trends based on representative surface- and ground-water resources across the Nation. The objective of the Agricultural Chemicals topical study is to investigate the sources, transport, and fate of selected agricultural chemicals in a variety of agriculturally diverse environmental settings. The Granger Drain and DR2 basins were selected for the Agricultural Chemicals topical study because they represent the irrigated agricultural setting that characterizes eastern Washington. These basins are located in one of the most productive agricultural areas in the United States. This report describes the environmental setting of the Granger Drain and DR2 basins in the context of how agricultural practices, including agricultural chemical applications and irrigation methods, interface with natural settings and hydrologic processes.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075102","usgsCitation":"Payne, K.L., Johnson, H.M., and Black, R.W., 2007, Environmental Setting of the Granger Drain and DR2 Basins, Washington, 2003-04: U.S. Geological Survey Scientific Investigations Report 2007-5102, vi, 27 p., https://doi.org/10.3133/sir20075102.","productDescription":"vi, 27 p.","additionalOnlineFiles":"Y","temporalStart":"2003-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":194804,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10070,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5102/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","projection":"Albers","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.21666666666667,46.3 ], [ -120.21666666666667,46.5 ], [ -119.95,46.5 ], [ -119.95,46.3 ], [ -120.21666666666667,46.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db6673af","contributors":{"authors":[{"text":"Payne, Karen L. klpayne@usgs.gov","contributorId":3839,"corporation":false,"usgs":true,"family":"Payne","given":"Karen","email":"klpayne@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":292092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Henry M. 0000-0002-7571-4994","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":105291,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":292093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292091,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80239,"text":"ofr20071180 - 2007 - Organic geochemistry of sediments in nearshore areas of the Mississippi and Atchafalaya Rivers: I. General organic characterization","interactions":[],"lastModifiedDate":"2022-06-27T21:49:49.594137","indexId":"ofr20071180","displayToPublicDate":"2007-08-21T00:00:00","publicationYear":"2007","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":"2007-1180","title":"Organic geochemistry of sediments in nearshore areas of the Mississippi and Atchafalaya Rivers: I. General organic characterization","docAbstract":"This report presents results on the general organic characteristics of sediment cores collected from the coastal zone of the Mississippi River system, including distributions of the important nutrient elements (C, N, P, and S). This was part of a larger study conducted from 2001-2005 to examine the delivery of sediment-associated contaminants to the Gulf of Mexico by the Mississippi River system, funded by the USGS Coastal and Marine Geology Program. Companion reports emphasize organic contaminants (Rosenbauer and others, 2006), and metals (Swarzenski and others, 2006). The level of contamination within the deltaic system of the Mississippi River system was determined through the collection of sediment cores from interdistributary bays, and offshore in the Gulf of Mexico, including the zone of hypoxia. Results provide the basis for reconstructing contaminant inventories from which to develop historic perspectives on nutrient loading and hypoxia, and to better understand how sediment-hosted contaminants either directly or indirectly move through biota and ultimately affect ecosystem health.\r\n\r\nConcentrations of C, N, P, and S in sediments varied by a factor of 10 between sites, and in down core profiles. Nearshore cores collected in 2001 proved to have erratic downcore C, N, P, and S profiles and sediment deposition rates, suggesting a high energy regime controlled more by variability in river flow rather than by geochemical processes and reactions within the system. These results focused further coring activities further offshore. Atomic C/N ratios suggest that organic matter deposited at all sites is a mix of microbial (algal) and terrestrial (vascular plant) remains, but with algal material dominant. Concentrations of total sulfur in sediments from cores in the zone of hypoxia were often higher than those in nearby zones with oxic water columns. Corresponding atomic C/S ratios were typically lower in sediments from sites in the zone of hypoxia compared to nearby sites with oxic water columns, and thus atomic C/S values may be useful as a proxy for identifying sites impacted by hypoxic conditions in the water column and for examining historical trends in hypoxia. At one site examined in this study, maximum hypoxic conditions were observed in the mid 1960's. The organic elemental composition (C, N, P, and S) of sediments was also used to guide sample selection for contaminant analysis, and to normalize the contaminant data to organic C content of the sediments.\r\n\r\nDissolved hydrocarbon gases in sediments showed a dominance of methane, but identifiable concentrations of ethane and hexane, and trace concentrations of propane, butane, and pentane were also detected. All dissolved gases except hexane were dominated by 'bound' gas, gas released only after agitation of the sediment in a blender. Hexane, in contrast was observed mostly as free gas, determined by headspace analysis.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071180","usgsCitation":"Orem, W.H., Rosenbauer, R.J., Swarzenski, P.W., Lerch, H.E., Corum, M., and Bates, A.L., 2007, Organic geochemistry of sediments in nearshore areas of the Mississippi and Atchafalaya Rivers: I. General organic characterization: U.S. Geological Survey Open-File Report 2007-1180, 67 p., https://doi.org/10.3133/ofr20071180.","productDescription":"67 p.","onlineOnly":"Y","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":192210,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402570,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81622.htm","linkFileType":{"id":5,"text":"html"}},{"id":10058,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1180/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Atchafalaya River, Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.669921875,\n              28.8927788645183\n            ],\n            [\n              -88.802490234375,\n              28.8927788645183\n            ],\n            [\n              -88.802490234375,\n              29.92637417863576\n            ],\n            [\n              -91.669921875,\n              29.92637417863576\n            ],\n            [\n              -91.669921875,\n              28.8927788645183\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b12e4b07f02db6a2f69","contributors":{"authors":[{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":292059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenbauer, Robert J. brosenbauer@usgs.gov","contributorId":204,"corporation":false,"usgs":true,"family":"Rosenbauer","given":"Robert","email":"brosenbauer@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":292058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":292061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lerch, Harry E. tlerch@usgs.gov","contributorId":600,"corporation":false,"usgs":true,"family":"Lerch","given":"Harry","email":"tlerch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":292060,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corum, M.D. 0000-0002-9038-3935 mcorum@usgs.gov","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":2249,"corporation":false,"usgs":true,"family":"Corum","given":"M.D.","email":"mcorum@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":292062,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bates, Anne L. 0000-0002-4875-4675 abates@usgs.gov","orcid":"https://orcid.org/0000-0002-4875-4675","contributorId":2789,"corporation":false,"usgs":true,"family":"Bates","given":"Anne","email":"abates@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":292063,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":80229,"text":"fs20073064 - 2007 - New Jersey Tide Telemetry System","interactions":[],"lastModifiedDate":"2012-03-08T17:16:20","indexId":"fs20073064","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2007","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":"2007-3064","title":"New Jersey Tide Telemetry System","docAbstract":"Each summer the population of the barrier-island communities of New Jersey increases by tens of thousands. When a coastal storm threatens these communities, the limited number of bridges and causeways that connect the islands with the mainland become overcrowded, making evacuations from the barrier islands to the mainland difficult. Timely evacuation depends on well-defined emergency evacuation plans used in conjunction with accurate flood forecasting and up to the minute (real-time) tide-level information.\r\n\r\nThe 'Great Nor'easter' storm that struck the coastal areas of New Jersey on December 11, 1992, caused about $270 million in insured damages to public and private property (Dorr and others, 1995). Most of the damage was due to tidal flooding and storm surge, which were especially severe along the back bay areas. Comprehensive and reliable tide-level and meteorological data for the back bays was needed to make accurate flood forecasts.\r\n\r\nCollection of tidal data for the ocean and large bays was adequately covered by the National Oceanic and Atmospheric Administration's National Ocean Service (NOAA's NOS), but in New Jersey little to no data are available for the back-bay areas. The back bays behave quite differently than the ocean as a result of the complex interaction between the winds and the geometry of the inlets and bays. A slow moving Nor'easter can keep tide levels in back bays several feet higher than the ocean tide by not allowing tides to recede, resulting in flooding of bridges and causeways that link the barrier islands to the mainland.\r\n\r\nThe U.S. Geological Survey (USGS), in cooperation with the New Jersey Department of Transportation (NJDOT), designed and installed the New Jersey Tide Telemetry System (NJTTS) with assistance from NOAA's NOS in 1997. This system is part of a statewide network of tide gages, weather stations, and stream gages that collect data in real time. The NJTTS supplies comprehensive, reliable real-time tide-level and meteorological data for flood-prone areas along the New Jersey shore and back bays. These data are transmitted to computer base stations located at offices of the National Weather Service, New Jersey State Police (NJSP), NJDOT, county emergency management agencies, other critical decision-making centers, and the World Wide Web (WWW). This fact sheet describes the NJTTS and identifies its benefits.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20073064","usgsCitation":"Hoppe, H.L., 2007, New Jersey Tide Telemetry System: U.S. Geological Survey Fact Sheet 2007-3064, 4 p., https://doi.org/10.3133/fs20073064.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":124523,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2007_3064.jpg"},{"id":10049,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2007/3064/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.75,38.75 ], [ -75.75,41.5 ], [ -73.75,41.5 ], [ -73.75,38.75 ], [ -75.75,38.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db697984","contributors":{"authors":[{"text":"Hoppe, Heidi L. hhoppe@usgs.gov","contributorId":1513,"corporation":false,"usgs":true,"family":"Hoppe","given":"Heidi","email":"hhoppe@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":292026,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80227,"text":"sir20075036 - 2007 - The association of arsenic with redox conditions, depth, and ground-water age in the glacial aquifer system of the northern United States","interactions":[],"lastModifiedDate":"2022-11-29T21:28:17.631695","indexId":"sir20075036","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2007","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":"2007-5036","title":"The association of arsenic with redox conditions, depth, and ground-water age in the glacial aquifer system of the northern United States","docAbstract":"More than 800 wells in the glacial aquifer system of the Northern United States were sampled for arsenic as part of U.S. Geological Survey National Water-Quality Assessment (NAWQA) studies during 1991-2003. Elevated arsenic concentrations (greater than or equal to 10 micrograms per liter) were detected in 9 percent of samples.\r\n\r\nElevated arsenic concentrations were associated with strongly reducing conditions. Of the samples classified as iron reducing or sulfate reducing, arsenic concentrations were elevated in 19 percent. Of the methanogenic samples, arsenic concentrations were elevated in 45 percent. In contrast, concentrations of arsenic were elevated in only 1 percent of oxic samples.\r\n\r\nArsenic concentrations were also related to ground-water age. Elevated arsenic concentrations were detected in 34 percent of old waters (recharged before 1953) as compared to 4 percent of young waters (recharged since 1953). For samples classified as both old and methanogenic, elevated arsenic concentrations were detected in 62 percent of samples, as compared to 1 percent for samples classified as young and oxic.\r\n\r\nArsenic concentrations were also correlated with well depth and concentrations of several chemical constituents, including (1) constituents linked to redox processes and (2) anions or oxyanions that sorb to iron oxides.\r\n\r\nObservations from the glacial aquifer system are consistent with the idea that the predominant source of arsenic is iron oxides and the predominant mechanism for releasing arsenic to the ground water is reductive desorption or reductive dissolution. Arsenic is also released from iron oxides under oxic conditions, but on a more limited basis and at lower concentrations.\r\n\r\nLogistic regression was used to investigate the relative significance of redox, ground-water age, depth, and other water-quality constituents as indicators of elevated arsenic concentrations in the glacial aquifer system. The single variable that explained the greatest amount of variation in the data was redox. Multivariate models that included a redox variable overestimated the percentage of samples with elevated arsenic concentrations because, even though elevated arsenic concentrations were associated with strongly reducing samples, not all strongly reducing samples had elevated arsenic concentrations.\r\n\r\nArsenic concentrations and redox conditions differed among four broad areas of the glacial aquifer system. For the East, Central, and West-Central north areas, there was a trend of increasing arsenic concentrations that corresponded to an increase in reducing conditions. For the West-Central south area, arsenic concentrations in oxic samples were higher than for the other areas, possibly because of high concentrations of orthophosphate, which is linked to desorption of arsenic from iron oxides under oxic conditions.\r\n\r\nThe observed differences in arsenic concentrations among broad areas of the glacial aquifer system were generally consistent with a conceptual model developed by Smedley and Kinniburg, who studied or reviewed studies of widespread arsenic contamination in Bangladesh, India, China, Vietnam, Hungary, Argentina, northern Chile and the Southwestern United States.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075036","usgsCitation":"Thomas, M.A., 2007, The association of arsenic with redox conditions, depth, and ground-water age in the glacial aquifer system of the northern United States: U.S. Geological Survey Scientific Investigations Report 2007-5036, vi, 26 p., https://doi.org/10.3133/sir20075036.","productDescription":"vi, 26 p.","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":192075,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":409824,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81597.htm","linkFileType":{"id":5,"text":"html"}},{"id":10047,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5036/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -100,\n              48.0667\n            ],\n            [\n              -100,\n              38\n            ],\n            [\n              -70.75,\n              38\n            ],\n            [\n              -70.75,\n              48.0667\n            ],\n            [\n              -100,\n              48.0667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602b2f","contributors":{"authors":[{"text":"Thomas, Mary Ann mathomas@usgs.gov","contributorId":2536,"corporation":false,"usgs":true,"family":"Thomas","given":"Mary","email":"mathomas@usgs.gov","middleInitial":"Ann","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292023,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79922,"text":"cir1307 - 2007 - Strategic Plan for the North American Breeding Bird Survey: 2006-2010","interactions":[{"subject":{"id":79922,"text":"cir1307 - 2007 - Strategic Plan for the North American Breeding Bird Survey: 2006-2010","indexId":"cir1307","publicationYear":"2007","noYear":false,"title":"Strategic Plan for the North American Breeding Bird Survey: 2006-2010"},"predicate":"SUPERSEDED_BY","object":{"id":70211901,"text":"cir1466 - 2020 - Strategic Plan for the North American Breeding Bird Survey, 2020–30","indexId":"cir1466","publicationYear":"2020","noYear":false,"title":"Strategic Plan for the North American Breeding Bird Survey, 2020–30"},"id":1}],"supersededBy":{"id":70211901,"text":"cir1466 - 2020 - Strategic Plan for the North American Breeding Bird Survey, 2020–30","indexId":"cir1466","publicationYear":"2020","noYear":false,"title":"Strategic Plan for the North American Breeding Bird Survey, 2020–30"},"lastModifiedDate":"2024-03-04T19:20:50.43184","indexId":"cir1307","displayToPublicDate":"2007-08-13T11:15:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1307","title":"Strategic Plan for the North American Breeding Bird Survey: 2006-2010","docAbstract":"<h3>Executive Summary</h3><p>The mission of the North American Breeding Bird Survey (BBS) is to provide scientifically credible measures of the status and trends of North American bird populations at continental and regional scales to inform biologically sound conservation and management actions. Determining population trends, relative abundance, and distributions of North American avifauna is critical for identifying conservation priorities, determining appropriate conservation actions, and evaluating those actions. The BBS program, jointly coordinated by the U.S. Geological Survey and Environment Canada’s Canadian Wildlife Service, provides the U.S. and Canadian Federal governments, state and provincial agencies, other conservation practitioners, and the general public with science-based avian population trend estimates and other information for regional and national species’ population assessments.</p><p>Despite the demonstrated value of the BBS for furthering avian conservation across North America, its importance is often underappreciated, and it is underfunded compared with many other government-supported programs that report on status of the environment. Today, BBS resources, adjusted for inflation, are below the amount allocated in the 1970s and are still only sufficient to support two biologists. Yet the number of routes, participants, data, and data requests has quadrupled. Data and information management and delivery requirements and security concerns, non-existent in 1966, impose further demands on BBS resources. In addition, the Mexican expansion of the BBS offers new hope for a truly continental approach to avian conservation, but also brings additional challenges. Meeting the goals of this plan will take cooperation among myriad stakeholders; yet, even with collaboration, most objectives of this plan will be unattainable if BBS program support is not increased.</p><p>The BBS developed this strategic plan to help set priorities and identify resources required for the program to continue to meet the evolving needs of the conservation community for information on bird population change. By setting clear goals, strategies, and measures of success, this plan provides a cohesive framework and vision for maintenance and development of the BBS. The plan identifies two major goals for the BBS, with a number of strategies and objectives to achieve these goals. Over the next 5 years, progress made in addressing each long-term goal and its associated 5-year strategies and objectives will gage the plan’s success. Specific actions, projected outcomes, and measures of success related to accomplishing these are outlined in Table 1, with a timeline in Table 2.</p><p>The two main goals for the program, with a summary of the strategies to achieve them, are:</p><p><strong>Goal 1: Collect scientifically credible measures of the status and trends of North American bird populations at continental and regional scales.</strong></p><p>The North American Breeding Bird Survey will continue to support North American natural resource conservation through the collection of scientifically credible measures of the status and trends of continental bird populations. While doing this, the BBS will work to improve the science behind the program to better meet its mission and the changing needs of the avian conservation community. In partnership with collaborators, the BBS will address detection probability bias and habitat bias, improve analytical methods, and more fully assess and account for observer quality. Moreover, the BBS will improve the quality and breadth of avian population data through strategic increases in route density and the establishment of a Mexican BBS program.</p><p><strong>Goal 2: Ensure BBS data and analytical results are widely available and easily accessible for use by the avian conservation and management communities.</strong></p><p>At the heart of the BBS lies a four-million-record database containing more than 40 years of data on more than 600 bird species. These data are of no value if not well maintained, appropriately analyzed, and widely and easily accessible. The USGS has greatly improved data management and accessibility in recent years. Trend estimates were first made available via the Internet in the mid-1990s, followed closely by the raw data with baseline metadata and standard operating procedures. Nevertheless, numerous enhancements to data management and the usability of BBS results will greatly improve the ability of the BBS to serve avian conservation goals. The BBS needs to ensure that BBS data and results presented on the web site use the best data-management practices and statistical methods, with adequate documentation for users to understand them and any differences between different trend estimates. Moreover, the BBS needs to increase communication with BBS partners and stakeholders to ensure that it continues to meet the avian population status and trends needs of the conservation community and to encourage the development of new products. Working with collaborators, the BBS will develop tools for integrating environmental parameters like habitat change into the analyses, and for integrating BBS data with other avian survey results. In addition, the BBS will continue to improve data and database management through the incorporation of additional data and data fields, such as georeferenced stop locations and more complete metadata for the raw data and results, thus enhancing the uses that can be made of the data.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/cir1307","collaboration":"Prepared in cooperation with Environment Canada's Canadian Wildlife Service and Mexico's National Commission for the Knowledge and Use of Biodiversity","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2007, Strategic Plan for the North American Breeding Bird Survey: 2006-2010: U.S. Geological Survey Circular 1307, vi, 21 p., https://doi.org/10.3133/cir1307.","productDescription":"vi, 21 p.","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":9643,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/2007/1307/","linkFileType":{"id":5,"text":"html"}},{"id":190670,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.265625,\n              13.581920900545844\n            ],\n            [\n              -63.28125,\n              43.068887774169625\n            ],\n            [\n              -55.54687499999999,\n              53.9560855309879\n            ],\n            [\n              -69.60937499999999,\n              60.413852350464914\n            ],\n            [\n              -90,\n              68.26938680456564\n            ],\n            [\n              -124.1015625,\n              69.41124235697256\n            ],\n            [\n              -152.9296875,\n              70.61261423801925\n            ],\n            [\n              -166.2890625,\n              68.78414378041504\n            ],\n            [\n              -162.7734375,\n              58.99531118795094\n            ],\n            [\n              -156.4453125,\n              55.97379820507658\n            ],\n            [\n              -141.6796875,\n              56.559482483762245\n            ],\n            [\n              -133.9453125,\n              51.6180165487737\n            ],\n            [\n              -130.078125,\n              45.089035564831036\n            ],\n            [\n              -121.640625,\n              27.371767300523047\n            ],\n            [\n              -105.8203125,\n              11.523087506868514\n            ],\n            [\n              -82.6171875,\n              4.565473550710278\n            ],\n            [\n              -82.265625,\n              13.581920900545844\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a73e4b07f02db6437f4","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":534864,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80165,"text":"gip54 - 2007 - Sand waves at the mouth of San Francisco Bay, California","interactions":[],"lastModifiedDate":"2014-08-27T09:22:29","indexId":"gip54","displayToPublicDate":"2007-07-31T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"54","title":"Sand waves at the mouth of San Francisco Bay, California","docAbstract":"<p>The U.S. Geological Survey; California State University, Monterey Bay; U.S. Army Corps of Engineers; National Oceanic and Atmospheric Administration; and Center for Integrative Coastal Observation, Research and Education partnered to map central San Francisco Bay and its entrance under the Golden Gate Bridge using multibeam echosounders.</p>\n<br>\n<p>View eastward, through the Golden Gate into central San Francisco Bay. Depth of sea floor color coded: red (less than 10 m deep) to purple (more than 100 m deep). Land from USGS digital orthophotographs (DOQs) overlaid on USGS digital elevation models (DEMs). Sand waves in this view average 6 m in height and 80 m from crest to crest. Golden Gate Bridge is about 2 km long. Vertical exaggeration is approximately 4x for sea floor, 2x for land.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip54","usgsCitation":"Gibbons, H., and Barnard, P., 2007, Sand waves at the mouth of San Francisco Bay, California (Version 1.0): U.S. Geological Survey General Information Product 54, Postcard, https://doi.org/10.3133/gip54.","productDescription":"Postcard","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":125710,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_54.jpg"},{"id":9976,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/2007/54/","linkFileType":{"id":5,"text":"html"}},{"id":293059,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/2007/54/GIP-54_Sand_Waves_postcard.pdf"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.522833,37.445189 ], [ -122.522833,38.144192 ], [ -122.036897,38.144192 ], [ -122.036897,37.445189 ], [ -122.522833,37.445189 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdc74","contributors":{"authors":[{"text":"Gibbons, Helen hgibbons@usgs.gov","contributorId":912,"corporation":false,"usgs":true,"family":"Gibbons","given":"Helen","email":"hgibbons@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":291893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L.","contributorId":54936,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","affiliations":[],"preferred":false,"id":291894,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80160,"text":"ofr20071021 - 2007 - An Evaluation of the USGS World Petroleum Assessment 2000 - Supporting Data","interactions":[],"lastModifiedDate":"2012-02-02T00:14:19","indexId":"ofr20071021","displayToPublicDate":"2007-07-31T00:00:00","publicationYear":"2007","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":"2007-1021","title":"An Evaluation of the USGS World Petroleum Assessment 2000 - Supporting Data","docAbstract":"Introduction\r\n\r\nIn June 2000, the U.S. Geological Survey (USGS) published the results of a world petroleum assessment (exclusive of the United States), based on data current through 1995 (U.S. Geological Survey World Energy Assessment Team, 2000). The assessment included the volumes of undiscovered crude oil and natural gas estimated to have the potential to be added to reserves in a 30-year time frame (to 2025). Klett and others (2005) compared the actual additions to reserves as reported from January 1996 to December 2003 (IHS Energy, 2003) with those estimates, apportioned to the 1996-2003 period (27 percent of the 30-year time frame). The present report (1) provides tabular data, not included in the 2005 report by Klett and others, that support the graphical displays and (2) briefly summarizes the interpretations and conclusions presented in the 2005 report.\r\n\r\nApproximately 28 percent of the additions to oil reserves by reserve growth and approximately 11 percent of the estimated undiscovered oil volumes that were estimated for the World Petroleum Assessment 2000 (U.S. Geological Survey World Energy Assessment Team, 2000) were realized in the 8 years since that assessment. Slightly more than half of the estimated additions to gas reserves by reserve growth and approximately 10 percent of the estimated undiscovered gas volumes were realized. Between 1995 and 2003, growth of oil reserves in previously discovered fields exceeded new-field discoveries as a source of global additions to reserves of conventional oil by a factor of about 3 to 1. The greatest amount of reserve growth for crude oil was in the Middle East and North Africa, whereas the greatest contribution from new-field discoveries was in Sub-Saharan Africa. The greatest amount of reserve growth for natural gas was in the Middle East and North Africa, whereas the greatest contribution from new-field discoveries was in the Asia Pacific region. On an energy-equivalent basis, volumes of new gas field discoveries exceeded new oil field discoveries. The graphs are based on the data listed in tables 1 and 2.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071021","usgsCitation":"Klett, T., Gautier, D.L., and Ahlbrandt, T.S., 2007, An Evaluation of the USGS World Petroleum Assessment 2000 - Supporting Data (Version 1.0): U.S. Geological Survey Open-File Report 2007-1021, iii, 5 p., https://doi.org/10.3133/ofr20071021.","productDescription":"iii, 5 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194811,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9971,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1021/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db6864e3","contributors":{"authors":[{"text":"Klett, T. R. 0000-0001-9779-1168","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":83067,"corporation":false,"usgs":true,"family":"Klett","given":"T. R.","affiliations":[],"preferred":false,"id":291879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":291877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahlbrandt, Thomas S.","contributorId":57836,"corporation":false,"usgs":true,"family":"Ahlbrandt","given":"Thomas","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":291878,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80145,"text":"sir20075031 - 2007 - Simulation of Regional Ground-Water Flow in the Suwannee River Basin, Northern Florida and Southern Georgia","interactions":[],"lastModifiedDate":"2017-01-17T09:39:13","indexId":"sir20075031","displayToPublicDate":"2007-07-27T00:00:00","publicationYear":"2007","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":"2007-5031","title":"Simulation of Regional Ground-Water Flow in the Suwannee River Basin, Northern Florida and Southern Georgia","docAbstract":"The Suwannee River Basin covers a total of nearly 9,950 square miles in north-central Florida and southern Georgia. In Florida, the Suwannee River Basin accounts for 4,250 square miles of north-central Florida. Evaluating the impacts of increased development in the Suwannee River Basin requires a quantitative understanding of the boundary conditions, hydrogeologic framework and hydraulic properties of the Floridan aquifer system, and the dynamics of water exchanges between the Suwannee River and its tributaries and the Floridan aquifer system. \r\n\r\nMajor rivers within the Suwannee River Basin are the Suwannee, Santa Fe, Alapaha, and Withlacoochee. Four rivers west of the Suwannee River are the Aucilla, the Econfina, the Fenholloway, and the Steinhatchee; all drain to the Gulf of Mexico. Perhaps the most notable aspect of the surface-water hydrology of the study area is that large areas east of the Suwannee River are devoid of channelized, surface drainage; consequently, most of the drainage occurs through the subsurface.\r\n\r\nThe ground-water flow system underlying the study area plays a critical role in the overall hydrology of this region of Florida because of the dominance of subsurface drain-age, and because ground-water flow sustains the flow of the rivers and springs.\r\n\r\nThree principal hydrogeologic units are present in the study area: the surficial aquifer system, the intermediate aquifer system, and the Floridan aquifer system. The surficial aquifer system principally consists of unconsoli-dated to poorly indurated siliciclastic deposits. The intermediate aquifer system, which contains the intermediate confining unit, lies below the surficial aquifer system (where present), and generally consists of fine-grained, uncon-solidated deposits of quartz sand, silt, and clay with interbedded limestone of Miocene age. Regionally, the intermediate aquifer system and intermediate con-fining unit act as a confining unit that restricts the exchange of water between the over-lying surficial and underlying Upper Floridan aquifers. The Upper Floridan aquifer is present throughout the study area and is extremely permeable and typically capable of transmitting large volumes of water. This high permeability largely is due to the widening of fractures and formation of conduits within the aquifer through dissolu-tion of the limestone by infiltrating water. This process has also produced numerous karst features such as springs, sinking streams, and sinkholes.\r\n\r\nA model of the Upper Floridan aquifer was created to better understand the ground-water system and to provide resource managers a tool to evaluate ground-water and surface-water interactions in the Suwannee River Basin. The model was developed to simulate a single Upper Floridan aquifer layer. Recharge datasets were developed to represent a net flux of water to the top of the aquifer or the water table during a period when the system was assumed to be under steady-state conditions (September 1990). A potentiometric-surface map representing water levels during September 1990 was prepared for the Suwannee River Water Management District (SRWMD), and the heads from those wells were used for calibration of the model. Additionally, flows at gaging sites for the Suwannee, Alapaha, Withlacoochee, Santa Fe, Fenholloway, Aucilla, Ecofina, and Steinhatchee Rivers were used during the calibration process to compare to model computed flows. Flows at seven first-magnitude springs selected by the SRWMD also were used to calibrate the model.\r\n\r\nCalibration criterion for matching potentiometric heads was to attain an absolute residual mean error of 5 percent or less of the head gradient of the system which would be about 5 feet. An absolute residual mean error of 4.79 feet was attained for final calibration. Calibration criterion for matching streamflow was based on the quality of measurements made in the field. All measurements used were rated ?good,? so the desire was for simulated values to be wi","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075031","collaboration":"Prepared in cooperation with Suwannee River Water Management District","usgsCitation":"Planert, M., 2007, Simulation of Regional Ground-Water Flow in the Suwannee River Basin, Northern Florida and Southern Georgia: U.S. Geological Survey Scientific Investigations Report 2007-5031, vi, 50 p., https://doi.org/10.3133/sir20075031.","productDescription":"vi, 50 p.","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":120838,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5031.jpg"},{"id":9961,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5031/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida, Georgia","otherGeospatial":"Suwannee River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.5,29 ], [ -84.5,32.25 ], [ -81,32.25 ], [ -81,29 ], [ -84.5,29 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f2fc4","contributors":{"authors":[{"text":"Planert, Michael","contributorId":56659,"corporation":false,"usgs":true,"family":"Planert","given":"Michael","email":"","affiliations":[],"preferred":false,"id":291841,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80113,"text":"ofr20071202 - 2007 - Geochemistry of Selected Coal Samples from Sumatra, Kalimantan, Sulawesi, and Papua, Indonesia","interactions":[],"lastModifiedDate":"2012-02-10T00:11:38","indexId":"ofr20071202","displayToPublicDate":"2007-07-20T00:00:00","publicationYear":"2007","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":"2007-1202","title":"Geochemistry of Selected Coal Samples from Sumatra, Kalimantan, Sulawesi, and Papua, Indonesia","docAbstract":"Introduction\r\n\r\nIndonesia is an archipelago of more than 17,000 islands that stretches astride the equator for about 5,200 km in southeast Asia (figure 1) and includes major Cenozoic volcano-plutonic arcs, active volcanoes, and various related onshore and offshore basins. These magmatic arcs have extensive Cu and Au mineralization that has generated much exploration and mining in the last 50 years. Although Au and Ag have been mined in Indonesia for over 1000 years (van Leeuwen, 1994), it was not until the middle of the nineteenth century that the Dutch explored and developed major Sn and minor Au, Ag, Ni, bauxite, and coal resources. The metallogeny of Indonesia includes Au-rich porphyry Cu, porphyry Mo, skarn Cu-Au, sedimentary-rock hosted Au, epithermal Au, laterite Ni, and diamond deposits. For example, the Grasberg deposit in Papua has the world's largest gold reserves and the third-largest copper reserves (Sillitoe, 1994).\r\n\r\nCoal mining in Indonesia also has had a long history beginning with the initial production in 1849 in the Mahakam coal field near Pengaron, East Kalimantan; in 1891 in the Ombilin area, Sumatra, (van Leeuwen, 1994); and in South Sumatra in 1919 at the Bukit Asam mine (Soehandojo, 1989). Total production from deposits in Sumatra and Kalimantan, from the 19thth century to World War II, amounted to 40 million metric tons (Mt). After World War II, production declined due to various factors including politics and a boom in the world-wide oil economy. Active exploration and increased mining began again in the 1980's mainly through a change in Indonesian government policy of collaboration with foreign companies and the global oil crises (Prijono, 1989).\r\n\r\nThis recent coal revival (van Leeuwen, 1994) has lead Indonesia to become the largest exporter of thermal (steam) coal and the second largest combined thermal and metallurgical (coking) coal exporter in the world market (Fairhead and others, 2006). The exported coal is desirable as it is low sulfur and ash (generally <1 and < 10 wt.%, respectively). Coal mining for both local use and for export has a very strong future in Indonesia although, at present, there are concerns about the strong need for a major revision in mining laws and foreign investment policies (Wahju, 2004; United States Embassy Jakarta, 2004). The World Coal Quality Inventory (WoCQI) program of the U.S. Geological Survey (Tewalt and others, 2005) is a cooperative project with about 50 countries (out of 70 coal-producing countries world-wide). The WoCQI initiative has collected and published extensive coal quality data from the world's largest coal producers and consumers. The important aspects of the WoCQI program are; (1) samples from active mines are collected, (2) the data have a high degree of internal consistency with a broad array of coal quality parameters, and (3) the data are linked to GIS and available through the world-wide-web. The coal quality parameters include proximate and ultimate analysis, sulfur forms, major-, minor-, and trace-element concentrations and various technological tests. This report contains geochemical data from a selected group of Indonesian coal samples from a range of coal types, localities, and ages collected for the WoCQI program.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071202","usgsCitation":"Belkin, H.E., and Tewalt, S.J., 2007, Geochemistry of Selected Coal Samples from Sumatra, Kalimantan, Sulawesi, and Papua, Indonesia: U.S. Geological Survey Open-File Report 2007-1202, iv, 34 p., https://doi.org/10.3133/ofr20071202.","productDescription":"iv, 34 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":9941,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1202/","linkFileType":{"id":5,"text":"html"}},{"id":192443,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 90,-20 ], [ 90,20 ], [ 145,20 ], [ 145,-20 ], [ 90,-20 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6abb74","contributors":{"authors":[{"text":"Belkin, Harvey E. 0000-0001-7879-6529 hbelkin@usgs.gov","orcid":"https://orcid.org/0000-0001-7879-6529","contributorId":581,"corporation":false,"usgs":true,"family":"Belkin","given":"Harvey","email":"hbelkin@usgs.gov","middleInitial":"E.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":291764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tewalt, Susan J. stewalt@usgs.gov","contributorId":64270,"corporation":false,"usgs":true,"family":"Tewalt","given":"Susan","email":"stewalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":259,"text":"Energy Resources Science Center","active":false,"usgs":true}],"preferred":false,"id":291765,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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