{"pageNumber":"982","pageRowStart":"24525","pageSize":"25","recordCount":46734,"records":[{"id":80041,"text":"twri09A5.6.4.B - 2004 - Chapter A5. Section 6.4.B. Low-Level Mercury","interactions":[],"lastModifiedDate":"2012-02-02T00:14:06","indexId":"twri09A5.6.4.B","displayToPublicDate":"2007-06-20T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":336,"text":"Techniques of Water-Resources Investigations","code":"TWRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"09-A5.6.4.B","title":"Chapter A5. Section 6.4.B. Low-Level Mercury","docAbstract":"Collecting and processing water samples for analysis of mercury at a low (subnanogram per liter) level requires use of ultratrace-level techniques for equipment cleaning, sample collection, and sample processing. Established techniques and associated quality-assurance (QA) procedures for the collection and processing of water samples for trace-element analysis at the part-per-billion level (NFM 3-5) are not adequate for low-level mercury samples. Modifications to the part-per-billion procedures are necessary to minimize contamination of samples at a typical ambient mercury concentration, which commonly is at the subnanogram-per-liter level.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/twri09A5.6.4.B","usgsCitation":"Lewis, M.E., and Brigham, M.E., 2004, Chapter A5. Section 6.4.B. Low-Level Mercury (Version 1.0): U.S. Geological Survey Techniques of Water-Resources Investigations 09-A5.6.4.B, 26 p., https://doi.org/10.3133/twri09A5.6.4.B.","productDescription":"26 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":193077,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9800,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://water.usgs.gov/owq/FieldManual/chapter5/pdf/5.6.4.B_v1.0.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":9799,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/owq/FieldManual/chapter5/html/Ch5_contents.html","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e59e8","contributors":{"authors":[{"text":"Lewis, Michael Edward","contributorId":60726,"corporation":false,"usgs":true,"family":"Lewis","given":"Michael","email":"","middleInitial":"Edward","affiliations":[],"preferred":false,"id":291547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brigham, Mark E. 0000-0001-7412-6800 mbrigham@usgs.gov","orcid":"https://orcid.org/0000-0001-7412-6800","contributorId":1840,"corporation":false,"usgs":true,"family":"Brigham","given":"Mark","email":"mbrigham@usgs.gov","middleInitial":"E.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":291546,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":78975,"text":"ofr20041065 - 2004 - Herpetofaunal inventories of the National Parks of South Florida and the Caribbean: Volume I. Everglades National Park","interactions":[],"lastModifiedDate":"2017-03-08T11:25:20","indexId":"ofr20041065","displayToPublicDate":"2006-08-28T00:00:00","publicationYear":"2004","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":"2004-1065","title":"Herpetofaunal inventories of the National Parks of South Florida and the Caribbean: Volume I. Everglades National Park","docAbstract":"Amphibian declines and extinctions have been documented around the world, often in protected natural areas. Concern for this alarming trend has prompted the U.S. Geological Survey and the National Park Service to document all species of amphibians that occur within U.S. National Parks and to search for any signs that amphibians may be declining. This study, an inventory of amphibian species in Everglades National Park, was conducted during 2000 to 2003. The goals of the project were to create a georeferenced inventory of amphibian species, use new analytical techniques to estimate proportion of sites occupied by each species, look for any signs of amphibian decline (missing species, disease, die-offs, etc.), and to establish a protocol that could be used for future monitoring efforts.\r\n\r\nSeveral sampling methods were used to accomplish all of these goals. Visual encounter surveys and anuran vocalization surveys were conducted in all habitats throughout the park to estimate the proportion of sites or proportion of area occupied (PAO) by each amphibian species in each habitat. Opportunistic collections, as well as some drift fence and aquatic funnel trap data were used to augment the visual encounter methods for highly aquatic or cryptic species. A total of 562 visits to 118 sites were conducted for standard sampling alone, and 1788 individual amphibians and 413 reptiles were encountered. Data analysis was done in program PRESENCE to provide PAO estimates for each of the anuran species.\r\n\r\nAll but one of the amphibian species thought to occur in Everglades National Park was detected during this project. That species, the Everglades dwarf siren (Pseudobranchus axanthus belli), is especially cryptic and probably geographically limited in its range in Everglades National Park. The other three species of salamanders and all of the anurans in the park were sampled adequately using standard herpetological sampling methods. PAO estimates were produced for each species of anuran by habitat. This information is valuable now as an indicator of habitat associations of the species and relative abundance of sites occupied, but it will also be useful as a comparative baseline for future monitoring efforts.\r\n\r\nIn addition to sampling for amphibians, all encounters with reptiles were documented. The sampling methods used for detecting amphibians are also appropriate for many reptile species. These reptile locations are included in this report, but there were not enough locations for most reptile species to analyze the PAO of individual species. 37 of the 57 species of reptiles thought to occur in Everglades National Park were detected during this study.\r\n\r\nThis study found no evidence of amphibian decline in Everglades National Park. There was one species not detected, but there is no evidence to indicate it has been extirpated from the park. Although no declines were observed, several threats to amphibians were identified. Introduced species, especially the Cuban treefrog (Osteopilus septentrionalis), are predators and competitors with several native frog species. Also, interference by humans with the natural hydrological cycle of the Everglades has the potential to alter the amphibian community. Finally, habitat loss outside the park has the potential to leave the amphibians in Everglades National Park isolated from other populations.\r\n\r\nContinued monitoring of the amphibian species in Everglades National Park is recommended. The methods used in this study are adequate to produce reliable estimates of the proportion of sites occupied by most anuran species. Continuing this protocol is a cost-effective way of determining whether species are decreasing or increasing in abundance of sites occupied.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20041065","usgsCitation":"Rice, K.G., Waddle, J., Crockett, M.E., Jeffery, B.M., and Percival, H., 2004, Herpetofaunal inventories of the National Parks of South Florida and the Caribbean: Volume I. Everglades National Park: U.S. Geological Survey Open-File Report 2004-1065, 144 p., https://doi.org/10.3133/ofr20041065.","productDescription":"144 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":124583,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2004_1065.jpg"},{"id":337047,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MG7MJ9","text":"Data for herpetofaunal inventories of the national parks of South Florida and the Caribbean: Volume I, Everglades National Park"},{"id":337046,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2004/1065/pdf/of04-1065.pdf"},{"id":13882,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2004/1065/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635bb5","contributors":{"authors":[{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":289014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":89982,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","affiliations":[],"preferred":false,"id":289018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crockett, Marquette E.","contributorId":70067,"corporation":false,"usgs":true,"family":"Crockett","given":"Marquette","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":289017,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jeffery, Brian M.","contributorId":16511,"corporation":false,"usgs":false,"family":"Jeffery","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":289015,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Percival, H. Frankin","contributorId":40286,"corporation":false,"usgs":true,"family":"Percival","given":"H. Frankin","affiliations":[],"preferred":false,"id":289016,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":78977,"text":"ofr20041070 - 2004 - Converting analog interpretive data to digital formats for use in database and GIS applications","interactions":[],"lastModifiedDate":"2014-08-20T09:25:01","indexId":"ofr20041070","displayToPublicDate":"2006-08-28T00:00:00","publicationYear":"2004","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":"2004-1070","title":"Converting analog interpretive data to digital formats for use in database and GIS applications","docAbstract":"There is a growing need by researchers and managers for comprehensive and unified nationwide datasets of scientific data. These datasets must be in a digital format that is easily accessible using database and GIS applications, providing the user with access to a wide variety of current and historical information. Although most data currently being collected by scientists are already in a digital format, there is still a large repository of information in the literature and paper archive. Converting this information into a format accessible by computer applications is typically very difficult and can result in loss of data. However, since scientific data are commonly collected in a repetitious, concise matter (i.e., forms, tables, graphs, etc.), these data can be recovered digitally by using a conversion process that relates the position of an attribute in two-dimensional space to the information that the attribute signifies. For example, if a table contains a certain piece of information in a specific row and column, then the space that the row and column occupies becomes an index of that information. An index key is used to identify the relation between the physical location of the attribute and the information the attribute contains. The conversion process can be achieved rapidly, easily and inexpensively using widely available digitizing and spreadsheet software, and simple programming code. \n\nIn the geological sciences, sedimentary character is commonly interpreted from geophysical profiles and descriptions of sediment cores. In the field and laboratory, these interpretations were typically transcribed to paper. The information from these paper archives is still relevant and increasingly important to scientists, engineers and managers to understand geologic processes affecting our environment. Direct scanning of this information produces a raster facsimile of the data, which allows it to be linked to the electronic world. But true integration of the content with database and GIS software as point, vector or text information is commonly lost. Sediment core descriptions and interpretation of geophysical profiles are usually portrayed as lines, curves, symbols and text information. They have vertical and horizontal dimensions associated with depth, category, time, or geographic position. These dimensions are displayed in consistent positions, which can be digitized and converted to a digital format, such as a spreadsheet. Once this data is in a digital, tabulated form it can easily be made available to a wide variety of imaging and data manipulation software for compilation and world-wide dissemination.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20041070","usgsCitation":"Flocks, J.G., 2004, Converting analog interpretive data to digital formats for use in database and GIS applications: U.S. Geological Survey Open-File Report 2004-1070, xiii, 26 p., https://doi.org/10.3133/ofr20041070.","productDescription":"xiii, 26 p.","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126382,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2004_1070.jpg"},{"id":14139,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2004/1070/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4781e4b07f02db482945","contributors":{"authors":[{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":289019,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":77382,"text":"i2600 - 2004 - Coastal-change and glaciological maps of Antarctica","interactions":[],"lastModifiedDate":"2013-05-08T15:18:46","indexId":"i2600","displayToPublicDate":"2006-07-27T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":320,"text":"IMAP","code":"I","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2600","title":"Coastal-change and glaciological maps of Antarctica","docAbstract":"Changes in the area and volume of polar ice sheets are intricately linked to changes in global climate, and the resulting changes in sea level may severely impact the densely populated coastal regions on Earth. Melting of the West Antarctic part alone of the Antarctic ice sheet could cause a sea-level rise of approximately 6 meters (m). The potential sea-level rise after melting of the entire Antarctic ice sheet is estimated to be 65 m (Lythe and others, 2001) to 73 m (Williams and Hall, 1993). In spite of its importance, the mass balance (the net volumetric gain or loss) of the Antarctic ice sheet is poorly known; it is not known for certain whether the ice sheet is growing or shrinking. In a review paper, Rignot and Thomas (2002) concluded that the West Antarctic part of the Antarctic ice sheet is probably becoming thinner overall; although the western part is thickening, the northern part is thinning. Joughin and Tulaczyk (2002), based on analysis of ice-flow velocities derived from synthetic aperture radar, concluded that most of the Ross ice streams (ice streams on the east side of the Ross Ice Shelf) have a positive mass balance. The mass balance of the East Antarctic is unknown, but thought to be in near equilibrium.\n\nMeasurement of changes in area and mass balance of the Antarctic ice sheet was given a very high priority in recommendations by the Polar Research Board of the National Research Council (1986), in subsequent recommendations by the Scientific Committee on Antarctic Research (SCAR) (1989, 1993), and by the National Science Foundation's (1990) Division of Polar Programs. On the basis of these recommendations, the U.S. Geological Survey (USGS) decided that the archive of early 1970s Landsat 1, 2, and 3 Multispectral Scanner (MSS) images of Antarctica and the subsequent repeat coverage made possible with Landsat and other satellite images provided an excellent means of documenting changes in the coastline of Antarctica (Ferrigno and Gould, 1987). The availability of this information provided the impetus for carrying out a comprehensive analysis of the glaciological features of the coastal regions and changes in ice fronts of Antarctica (Swithinbank, 1988; Williams and Ferrigno, 1988). The project was later modified to include Landsat 4 and 5 MSS and Thematic Mapper (TM) (and in some areas Landsat 7 Enhanced Thematic Mapper Plus (ETM+)), RADARSAT images, and other data where available, to compare changes over a 20- to 25- or 30-year time interval (or longer where data were available, as in the Antarctic Peninsula). The results of the analysis are being used to produce a digital database and a series of USGS Geologic Investigations Series Maps consisting of 24 maps at 1:1,000,000 scale and 1 map at 1:5,000,000 scale, in both paper and digital format (Williams and others, 1995; Williams and Ferrigno, 1998; and Ferrigno and others, 2002).","language":"ENGLISH","doi":"10.3133/i2600","usgsCitation":"Williams, R.S., 2004, Coastal-change and glaciological maps of Antarctica: U.S. Geological Survey IMAP 2600, Variously paginated, https://doi.org/10.3133/i2600.","productDescription":"Variously paginated","costCenters":[],"links":[{"id":192406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/i2600.png"},{"id":8351,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/imap/2600/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4779e4b07f02db47f0af","contributors":{"authors":[{"text":"Williams, Richard S. Jr.,(compiler)","contributorId":96364,"corporation":false,"usgs":true,"family":"Williams","given":"Richard","suffix":"Jr.,(compiler)","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":288506,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":77004,"text":"ofr20041325 - 2004 - A new method of edge detection for object recognition","interactions":[],"lastModifiedDate":"2012-04-15T17:28:14","indexId":"ofr20041325","displayToPublicDate":"2006-07-06T00:00:00","publicationYear":"2004","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":"2004-1325","title":"A new method of edge detection for object recognition","docAbstract":"Traditional edge detection systems function by returning every edge in an input image. This can result in a large amount of clutter and make certain vectorization algorithms less accurate. Accuracy problems can then have a large impact on automated object recognition systems that depend on edge information. A new method of directed edge detection can be used to limit the number of edges returned based on a particular feature. This results in a cleaner image that is easier for vectorization. Vectorized edges from this process could then feed an object recognition system where the edge data would also contain information as to what type of feature it bordered.","language":"ENGLISH","doi":"10.3133/ofr20041325","usgsCitation":"Maddox, B.G., and Rhew, B., 2004, A new method of edge detection for object recognition: U.S. Geological Survey Open-File Report 2004-1325, 17 p., https://doi.org/10.3133/ofr20041325.","productDescription":"17 p.","numberOfPages":"17","costCenters":[],"links":[{"id":193090,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8214,"rank":300,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2004/1325/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6abbe2","contributors":{"authors":[{"text":"Maddox, Brian G.","contributorId":57140,"corporation":false,"usgs":true,"family":"Maddox","given":"Brian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":288274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rhew, Benjamin","contributorId":63490,"corporation":false,"usgs":true,"family":"Rhew","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":288275,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":77003,"text":"ofr20041324 - 2004 - Metadata for ReVA logistic regression dataset","interactions":[],"lastModifiedDate":"2023-03-10T13:12:31.493763","indexId":"ofr20041324","displayToPublicDate":"2006-07-06T00:00:00","publicationYear":"2004","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":"2004-1324","title":"Metadata for ReVA logistic regression dataset","docAbstract":"The U.S. Geological Survey in cooperation with the U.S. Environmental Protection Agency's Regional Vulnerability Assessment Program, has developed a set of statistical tools to support regional-scale, ground-water quality and vulnerability assessments. The Regional Vulnerability Assessment Program goals are to develop and demonstrate approaches to comprehensive, regional-scale assessments that effectively inform water-resources managers and decision-makers as to the magnitude, extent, distribution, and uncertainty of current and anticipated environmental risks. The U.S. Geological Survey is developing and exploring the use of statistical probability models to characterize the relation between ground-water quality and geographic factors in the Mid-Atlantic Region. Available water-quality data obtained from U.S. Geological Survey National Water-Quality Assessment Program studies conducted in the Mid-Atlantic Region were used in association with geographic data (land cover, geology, soils, and others) to develop logistic-regression equations that use explanatory variables to predict the presence of a selected water-quality parameter exceeding specified management concentration thresholds. The resulting logistic-regression equations were transformed to determine the probability, P(X), of a water-quality parameter exceeding a specified management threshold. Additional statistical procedures modified by the U.S. Geological Survey were used to compare the observed values to model-predicted values at each sample point. In addition, procedures to evaluate the confidence of the model predictions and estimate the uncertainty of the probability value were developed and applied. The resulting logistic-regression models were applied to the Mid-Atlantic Region to predict the spatial probability of nitrate concentrations exceeding specified management thresholds. These thresholds are usually set or established by regulators or managers at national or local levels. At management thresholds of 1 milligram per liter, and 3 milligrams per liter, the probability of nitrate concentrations exceeding these levels is greater than 50 percent (.50) throughout much of the Mid-Atlantic Region. This includes extensive areas throughout central Maryland, southeastern Pennsylvania, northwestern Pennsylvania and the Delmarva Peninsula. In addition, extensive areas in North Carolina and Virginia also have high probabilities of nitrate concentrations in ground water exceeding management thresholds of 1 milligram per liter and 3 milligrams per liter. The mapped areas showing a high predicted probability of nitrate concentrations in ground water exceeding 1 milligram per liter and 3 milligrams per liter correspond to areas that are mapped as cultivated land cover overlying carbonate rocks. At a management threshold of 10 milligrams per liter (corresponding to the U.S. Environmental Protection Agency standard for nitrate in drinking water of 10 milligrams per liter), the predicted probability of nitrate concentrations in ground water exceeding this level are low for most of the Mid-Atlantic Region except for the Delmarva Peninsula, southeastern Pennsylvania, and areas mapped as carbonate rocks in Virginia, Maryland, and Pennsylvania.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20041324","usgsCitation":"LaMotte, A.E., 2004, Metadata for ReVA logistic regression dataset: U.S. Geological Survey Open-File Report 2004-1324, 9 p., https://doi.org/10.3133/ofr20041324.","productDescription":"9 p.","numberOfPages":"9","onlineOnly":"Y","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":8153,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://md.water.usgs.gov/publications/ofr-2004-1324/","linkFileType":{"id":5,"text":"html"}},{"id":194483,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db6255e6","contributors":{"authors":[{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":288273,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76996,"text":"ofr2003496 - 2004 - Water quality and quantity of selected springs and seeps along the Colorado River corridor, Utah and Arizona: Arches National Park, Canyonlands National Park, Glen Canyon National Recreation Area, and Grand Canyon National Park, 1997-98","interactions":[],"lastModifiedDate":"2012-02-02T00:14:18","indexId":"ofr2003496","displayToPublicDate":"2006-07-06T00:00:00","publicationYear":"2004","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":"2003-496","title":"Water quality and quantity of selected springs and seeps along the Colorado River corridor, Utah and Arizona: Arches National Park, Canyonlands National Park, Glen Canyon National Recreation Area, and Grand Canyon National Park, 1997-98","docAbstract":"The U.S. Geological Survey, in cooperation with the National Park Service conducted an intensive assessment of selected springs along the Colorado River Corridor in Arches National Park, Canyonlands National Park, Glen Canyon National Recreation Area, and Grand Canyon National Park in 1997 and 1998, for the purpose of measuring and evaluating the water quality and quantity of the resource. This study was conducted to establish baseline data for the future evaluation of possible effects from recreational use and climate change. Selected springs and seeps were visited over a study period from 1997 to 1998, during which, discharge and on-site chemical measurements were made at selected springs and seeps, and samples were collected for subsequent chemical laboratory analysis. This interdisciplinary study also includes simultaneous studies of flora and fauna, measured and sampled coincidently at the same sites. Samples collected during this study were transported to U.S. Geological Survey laboratories in Boulder, Colorado, where analyses were performed using state-of-the-art laboratory technology. The location of the selected springs and seeps, elevation, geology, aspect, and onsite measurements including temperature, discharge, dissolved oxygen, pH, and specific conductance, were recorded. Laboratory analyses include determinations for alkalinity, aluminum, ammonium (nitrogen), antimony, arsenic, barium, beryllium, bismuth, boron, bromide, cadmium, calcium, cerium, cesium, chloride, chromium, cobalt, copper, dissolved inorganic carbon, dissolved organic carbon, dysprosium, erbium, europium, fluoride, gadolinium, holmium, iodine, iron, lanthanum, lead, lithium, lutetium, magnesium, manganese, mercury, molybdenum, neodymium, nickel, nitrate (nitrogen), nitrite (nitrogen), phosphate, phosphorus, potassium, praseodymium, rhenium, rubidium, samarium, selenium, silica, silver, sodium, strontium, sulfate, tellurium, terbium, thallium, thorium, thulium, tin, titanium, tungsten, uranium, vanadium, yttrium, ytterbium, zinc, and zirconium in these springs and seeps. Biological observations include physical setting, vegetation, invertebrate habitats, and invertebrate microhabitats.","language":"ENGLISH","doi":"10.3133/ofr2003496","usgsCitation":"Taylor, H.E., Spence, J.R., Antweiler, R.C., Berghoff, K., Plowman, T.I., Peart, D.B., and Roth, D.A., 2004, Water quality and quantity of selected springs and seeps along the Colorado River corridor, Utah and Arizona: Arches National Park, Canyonlands National Park, Glen Canyon National Recreation Area, and Grand Canyon National Park, 1997-98: U.S. Geological Survey Open-File Report 2003-496, viii, 24 p., https://doi.org/10.3133/ofr2003496.","productDescription":"viii, 24 p.","numberOfPages":"32","additionalOnlineFiles":"Y","temporalStart":"1997-01-01","temporalEnd":"1998-12-31","costCenters":[],"links":[{"id":194546,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8222,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://wwwbrr.cr.usgs.gov/projects/SW_inorganic/download/","linkFileType":{"id":5,"text":"html"}},{"id":8221,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://wwwbrr.cr.usgs.gov/projects/SW_inorganic/download/CO%20Rv%20Springs.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":8223,"rank":9999,"type":{"id":18,"text":"Project Site"},"url":"https://wwwbrr.cr.usgs.gov/projects/SW_inorganic/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5f9be8","contributors":{"authors":[{"text":"Taylor, Howard E. hetaylor@usgs.gov","contributorId":1551,"corporation":false,"usgs":true,"family":"Taylor","given":"Howard","email":"hetaylor@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":288256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spence, John R.","contributorId":27963,"corporation":false,"usgs":true,"family":"Spence","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":288259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":288255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berghoff, Kevin","contributorId":107805,"corporation":false,"usgs":true,"family":"Berghoff","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":288261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plowman, Terry I. tplowman@usgs.gov","contributorId":3727,"corporation":false,"usgs":true,"family":"Plowman","given":"Terry","email":"tplowman@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":288258,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peart, Dale B.","contributorId":86384,"corporation":false,"usgs":true,"family":"Peart","given":"Dale","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":288260,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roth, David A. 0000-0002-7515-3533 daroth@usgs.gov","orcid":"https://orcid.org/0000-0002-7515-3533","contributorId":2340,"corporation":false,"usgs":true,"family":"Roth","given":"David","email":"daroth@usgs.gov","middleInitial":"A.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":288257,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":76816,"text":"ofr2003117 - 2004 - Distributed Processing of Projections of Large Datasets: A Preliminary Study","interactions":[],"lastModifiedDate":"2012-04-15T17:28:15","indexId":"ofr2003117","displayToPublicDate":"2006-06-13T00:00:00","publicationYear":"2004","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":"2003-117","title":"Distributed Processing of Projections of Large Datasets: A Preliminary Study","docAbstract":"Modern information needs have resulted in very large amounts of data being used in geographic information systems. Problems arise when trying to project these data in a reasonable amount of time and accuracy, however. Current single-threaded methods can suffer from two problems: fast projection with poor accuracy, or accurate projection with long processing time. A possible solution may be to combine accurate interpolation methods and distributed processing algorithms to quickly and accurately convert digital geospatial data between coordinate systems. Modern technology has made it possible to construct systems, such as Beowulf clusters, for a low cost and provide access to supercomputer-class technology. Combining these techniques may result in the ability to use large amounts of geographic data in time-critical situations.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr2003117","usgsCitation":"Maddox, B.G., 2004, Distributed Processing of Projections of Large Datasets: A Preliminary Study: U.S. Geological Survey Open-File Report 2003-117, 19 p., https://doi.org/10.3133/ofr2003117.","productDescription":"19 p.","numberOfPages":"19","onlineOnly":"Y","costCenters":[{"id":384,"text":"Mid-Continent Mapping Center","active":false,"usgs":true}],"links":[{"id":192440,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13239,"rank":300,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/0117/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a1dc","contributors":{"authors":[{"text":"Maddox, Brian G.","contributorId":57140,"corporation":false,"usgs":true,"family":"Maddox","given":"Brian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":287951,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76672,"text":"wdrOH-31 - 2004 - Water resources data, Ohio, water year 2003 : Volume 1. Ohio River basin excluding project data","interactions":[],"lastModifiedDate":"2012-03-08T17:16:23","indexId":"wdrOH-31","displayToPublicDate":"2006-04-30T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"OH-03-1","title":"Water resources data, Ohio, water year 2003 : Volume 1. Ohio River basin excluding project data","docAbstract":"Water-resources data for the 2003 water year for Ohio consist of records of stage, discharge, and water quality of streams; stage and contents of lakes and reservoirs; and water levels and water quality of ground-water wells. This report, in two volumes, contains records for water discharge at 138 gaging stations and various partial-record sites; water levels at 217 observation wells and 35 crest-stage gages; and water quality at 30 gaging stations, 34 observation wells, and no partial-record sites. Also included are data from miscellaneous and synoptic sites. Additional water data were collected at various sites not involved in the systematic data-collection program and are published as miscellaneous measurements and analyses. These data represent that part of the National Water Information System collected by the U.S. Geological Survey and cooperating Federal, State, and local agencies in Ohio.","language":"ENGLISH","doi":"10.3133/wdrOH-31","usgsCitation":"Shindel, H., Mangus, J., and Frum, S., 2004, Water resources data, Ohio, water year 2003 : Volume 1. Ohio River basin excluding project data: U.S. Geological Survey Water Data Report OH-03-1, 383 p., https://doi.org/10.3133/wdrOH-31.","productDescription":"383 p.","numberOfPages":"383","temporalStart":"2002-10-01","temporalEnd":"2003-09-30","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":194435,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7723,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wdr/WDR-OH-03/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697a6b","contributors":{"authors":[{"text":"Shindel, H.L.","contributorId":17652,"corporation":false,"usgs":true,"family":"Shindel","given":"H.L.","affiliations":[],"preferred":false,"id":287574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangus, J.P.","contributorId":28301,"corporation":false,"usgs":true,"family":"Mangus","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":287575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frum, S.R.","contributorId":84843,"corporation":false,"usgs":true,"family":"Frum","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":287576,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":76585,"text":"wdrHI031 - 2004 - Water Resources Data: Hawaii and Other Pacific Areas, Water Year 2003. Volume 1. Hawaii","interactions":[],"lastModifiedDate":"2012-03-08T17:16:20","indexId":"wdrHI031","displayToPublicDate":"2006-04-19T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"HI-03-1","title":"Water Resources Data: Hawaii and Other Pacific Areas, Water Year 2003. Volume 1. Hawaii","docAbstract":"Water resources data for the 2003 water year for Hawaii consist of records of stage, discharge, and water quality of streams and springs; water levels and quality of water wells; and rainfall totals.\r\n\r\n* Water discharge for 70 gaging stations on streams, springs, and ditches.\r\n* Discharge data for 97 crest-stage partial-record stations.\r\n* Water-quality data for 6 streams, and 28 partial-record stations, and 10 wells.\r\n* Water levels for 88 observation wells.\r\n* Rainfall data for 38 rainfall stations.\r\n\r\nThese data represent that part of the National Water Data System operated by the U.S. Geological Survey and cooperating Federal, State, and other local agencies in Hawaii.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/wdrHI031","collaboration":"Prepared in cooperation with the State of Hawaii Department of Land and Natural Resources, Commission on Water Resource Management and with other agencies","usgsCitation":"Teeters, P., Taogoshi, R., Nishimoto, D., and Shimizu, B., 2004, Water Resources Data: Hawaii and Other Pacific Areas, Water Year 2003. Volume 1. Hawaii: U.S. Geological Survey Water Data Report HI-03-1, xxii, 501 p., https://doi.org/10.3133/wdrHI031.","productDescription":"xxii, 501 p.","numberOfPages":"406","temporalStart":"2002-10-01","temporalEnd":"2003-09-30","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":192312,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9895,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://hi.water.usgs.gov/publications/pubs/adr/hi-03-1.pdf","size":"5628","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dae4b07f02db5e03dc","contributors":{"authors":[{"text":"Teeters, P.C.","contributorId":24841,"corporation":false,"usgs":true,"family":"Teeters","given":"P.C.","email":"","affiliations":[],"preferred":false,"id":287433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taogoshi, R.I.","contributorId":22835,"corporation":false,"usgs":true,"family":"Taogoshi","given":"R.I.","email":"","affiliations":[],"preferred":false,"id":287432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nishimoto, D.C.","contributorId":108178,"corporation":false,"usgs":true,"family":"Nishimoto","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":287435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shimizu, B.H.","contributorId":64736,"corporation":false,"usgs":true,"family":"Shimizu","given":"B.H.","email":"","affiliations":[],"preferred":false,"id":287434,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":72812,"text":"ds98 - 2004 - Data files from the Grays Harbor Sediment Transport Experiment Spring 2001","interactions":[],"lastModifiedDate":"2021-08-25T19:13:54.663749","indexId":"ds98","displayToPublicDate":"2006-01-02T00:00:00","publicationYear":"2004","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":"98","title":"Data files from the Grays Harbor Sediment Transport Experiment Spring 2001","docAbstract":"This publication consists of two DVD-ROMs, both of which are presented here. \r\n\r\nThis report describes data collected during the Spring 2001 Grays Harbor Sediment Transport Experiment, and provides additional information needed to interpret the data. Two DVDs accompany this report; both contain documentation in html format that assist the user in navigating through the data. \r\n\r\nDVD-ROM-1 contains a digital version of this report in .pdf format, raw Aquatec acoustic backscatter (ABS) data in .zip format, Sonar data files in .avi format, and coastal processes and morphology data in ASCII format. ASCII data files are provided in .zip format; bundled coastal processes ASCII files are separated by deployment and instrument; bundled morphology ASCII files are separated into monthly data collection efforts containing the beach profiles collected (or extracted from the surface map) at that time; weekly surface maps are also bundled together. \r\n\r\nDVD-ROM-2 contains a digital version of this report in .pdf format, the binary data files collected by the SonTek instrumentation, calibration files for the pressure sensors, and Matlab m-files for loading the ABS data into Matlab and cleaning-up the optical backscatter (OBS) burst time-series data.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds98","usgsCitation":"Landerman, L.A., Sherwood, C.R., Gelfenbaum, G., Lacy, J., Ruggiero, P., Wilson, D., Chisholm, T., and Kurrus, K., 2004, Data files from the Grays Harbor Sediment Transport Experiment Spring 2001: U.S. Geological Survey Data Series 98, 2 DVD-ROM disks; HTML Document, https://doi.org/10.3133/ds98.","productDescription":"2 DVD-ROM disks; HTML Document","numberOfPages":"213","costCenters":[],"links":[{"id":193250,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":388495,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_74353.htm"},{"id":7409,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/98/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"Grays Harbor","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.29382324218749,\n              46.79253827035982\n            ],\n            [\n              -124.1015625,\n              46.79253827035982\n            ],\n            [\n              -124.1015625,\n              47.12995075666307\n            ],\n            [\n              -124.29382324218749,\n              47.12995075666307\n            ],\n            [\n              -124.29382324218749,\n              46.79253827035982\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c98a","contributors":{"authors":[{"text":"Landerman, Laura A.","contributorId":84462,"corporation":false,"usgs":true,"family":"Landerman","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":286156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":286150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gelfenbaum, Guy","contributorId":79844,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","affiliations":[],"preferred":false,"id":286155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lacy, Jessica","contributorId":71277,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","affiliations":[],"preferred":false,"id":286154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":286151,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Douglas","contributorId":58361,"corporation":false,"usgs":true,"family":"Wilson","given":"Douglas","affiliations":[],"preferred":false,"id":286153,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chisholm, Tom","contributorId":84463,"corporation":false,"usgs":true,"family":"Chisholm","given":"Tom","email":"","affiliations":[],"preferred":false,"id":286157,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kurrus, Keith","contributorId":53409,"corporation":false,"usgs":true,"family":"Kurrus","given":"Keith","email":"","affiliations":[],"preferred":false,"id":286152,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70185118,"text":"70185118 - 2004 - Barrier island morphodynamic classification based on lidar metrics for north Assateague Island, Maryland","interactions":[],"lastModifiedDate":"2024-03-14T14:47:25.183458","indexId":"70185118","displayToPublicDate":"2005-12-31T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Barrier island morphodynamic classification based on lidar metrics for north Assateague Island, Maryland","docAbstract":"<p> In order to reap the potential of airborne lidar surveys to provide geological information useful in understanding coastal sedimentary processes acting on various time scales, a new set of analysis methods are needed. This paper presents a multi-temporal lidar analysis of north Assateague Island, Maryland, and demonstrates the calculation of lidar metrics that condense barrier island morphology and morphological change into attributed linear features that may be used to analyze trends in coastal evolution. The new methods proposed in this paper are also of significant practical value, because lidar metric analysis reduces large volumes of point elevations into linear features attributed with essential morphological variables that are ideally suited for inclusion in Geographic Information Systems.</p><p> A morphodynamic classification of north Assategue Island for a recent 10 month time period that is based on the recognition of simple patterns described by lidar change metrics is presented. Such morphodynamic classification reveals the relative magnitude and the fine scale alongshore variation in the importance of coastal changes over the study area during a defined time period. More generally, through the presentation of this morphodynamic classification of north Assateague Island, the value of lidar metrics in both examining large lidar data sets for coherent trends and in building hypotheses regarding processes driving barrier evolution is demonstrated</p>","language":"English","publisher":"Coastal Education & Research Foundation","doi":"10.2112/1551-5036(2004)020[0498:BIMCBO]2.0.CO;2","usgsCitation":"Brock, J., Krabill, W., and Sallenger, A., 2004, Barrier island morphodynamic classification based on lidar metrics for north Assateague Island, Maryland: Journal of Coastal Research, v. 20, no. 2, p. 498-509, https://doi.org/10.2112/1551-5036(2004)020[0498:BIMCBO]2.0.CO;2.","productDescription":"12 p.","startPage":"498","endPage":"509","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science 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,{"id":72471,"text":"sir20045134 - 2004 - Hydrogeology and water quality of the Pepacton Reservoir Watershed in Southeastern New York. Part 2. Hydrogeology, stream base flow, and ground-water recharge","interactions":[],"lastModifiedDate":"2017-04-04T13:25:34","indexId":"sir20045134","displayToPublicDate":"2005-10-13T00:00:00","publicationYear":"2004","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":"2004-5134","title":"Hydrogeology and water quality of the Pepacton Reservoir Watershed in Southeastern New York. Part 2. Hydrogeology, stream base flow, and ground-water recharge","docAbstract":"<p>The hydrogeology of the 372-square-mile Pepacton Reservoir watershed (herein called the East Branch Delaware River Basin) in the southwestern Catskill Mountain region of Southeastern New York is described and depicted in a detailed surficial geologic map and two geologic sections. An analysis of stream discharge records and estimates of mean annual ground-water recharge and stream base flow for eight subbasins in the basin are included.</p><p>Analysis of surficial geologic data indicates that the most widespread geologic unit within the basin is till, which occurs as masses of ablation till in major stream valleys and as thick deposits of lodgment till that fill upland basins. Till covers about 91.5 percent of the Pepacton Reservoir watershed, whereas stratified drift (alluvium, outwash, and ice-contact deposits) accounts for 6.3 percent. The Pepacton Reservoir occupies about 2.3 percent of the basin area. Large outwash and ice-contact deposits occupy the valleys of the upper East Branch Delaware River, the Tremper Kill, the Platte Kill, the Bush Kill, and Dry Brook. These deposits form stratified-drift aquifers that range in thickness from 90 feet in parts of the upper East Branch Delaware River Valley to less than 30 feet in the Dry Brook valley, and average about 50 feet in the main East Branch Delaware River Valley near Margaretville.</p><p>An analysis of daily mean stream discharge for the six eastern subbasins for 1998–2001, and for two western subbasins for 1945–52, was performed using three computer programs to obtain estimates of mean annual base flow and mean annual ground-water recharge for the eight subbasins. Mean annual base flow ranged from 15.3 inches per year for the Tremper Kill subbasin to 22.3 inches per year for the Mill Brook subbasin; the latter reflects the highest mean annual precipitation of all the subbasins studied. Estimated mean annual ground-water recharge ranged from 24.3 inches per year for Mill Brook to 15.8 inches per year for the Tremper Kill. The base flow index, which is the mean annual base flow expressed as a percentage of mean annual streamflow, ranged from 69.1 percent for Coles Clove Kill to 75.6 percent for the upper East Branch Delaware River; most subbasin indices were greater than 70 percent. These high base flow indices indicate that because stratified drift covers only a small percentage of subbasin areas (generally 5 to 7 percent), most of the base flow is derived from the fractured sandstone bedrock that underlies the basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20045134","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Reynolds, R., 2004, Hydrogeology and water quality of the Pepacton Reservoir Watershed in Southeastern New York. Part 2. Hydrogeology, stream base flow, and ground-water recharge: U.S. Geological Survey Scientific Investigations Report 2004-5134, vi, 31 p., https://doi.org/10.3133/sir20045134.","productDescription":"vi, 31 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":323591,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20045018","text":"Scientific Investigations Report 2004-5018","description":"SIR 2004-5134"},{"id":323590,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20045008","text":"Scientific Investigations Report 2004-5008","description":"SIR 2004-5134"},{"id":191018,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2004/5134/coverthb.jpg"},{"id":323589,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2004/5134/sir20045134.pdf","text":"Report","size":"16.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2004-5134"}],"contact":"<p>Director, New York Water Science Center<br> U.S. Geological Survey<br>425 Jordan Rd<br> Troy, NY 12180<br> (518) 285-5695 <br> <a href=\"http://ny.water.usgs.gov/\" data-mce-href=\"http://ny.water.usgs.gov/\">http://ny.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Hydrogeology</li><li>Base Flow and Ground-Water Recharge</li><li>Summary</li><li>Selected References</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adae4b07f02db685354","contributors":{"authors":[{"text":"Reynolds, R.J.","contributorId":102921,"corporation":false,"usgs":true,"family":"Reynolds","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":285710,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":72245,"text":"ofr20041259 - 2004 - Onondaga Lake Watershed – A Geographic Information System Project Phase I – Needs assessment and spatial data framework","interactions":[],"lastModifiedDate":"2017-04-04T13:22:24","indexId":"ofr20041259","displayToPublicDate":"2005-09-19T00:00:00","publicationYear":"2004","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":"2004-1259","title":"Onondaga Lake Watershed – A Geographic Information System Project Phase I – Needs assessment and spatial data framework","docAbstract":"<p>In the fall of 2002, the Onondaga Lake Partnership (OLP) formed a Geographic Information System (GIS) Planning Committee to begin the process of developing a comprehensive watershed geographic information system for Onondaga Lake. The goal of the Onondaga Lake Partnership geographic information system is to integrate the various types of spatial data used for scientific investigations, resource management, and planning and design of improvement projects in the Onondaga Lake Watershed. A needs-assessment survey was conducted and a spatial data framework developed to support the Onondaga Lake Partnership use of geographic information system technology. The design focused on the collection, management, and distribution of spatial data, maps, and internet mapping applications. A geographic information system library of over 100 spatial datasets and metadata links was assembled on the basis of the results of the needs assessment survey. Implementation options were presented, and the Geographic Information System Planning Committee offered recommendations for the management and distribution of spatial data belonging to Onondaga Lake Partnership members. The Onondaga Lake Partnership now has a strong foundation for building a comprehensive geographic information system for the Onondaga Lake watershed. The successful implementation of a geographic information system depends on the Onondaga Lake Partnership’s determination of: (1) the design and plan for a geographic information system, including the applications and spatial data that will be provided and to whom, (2) the level of geographic information system technology to be utilized and funded, and (3) the institutional issues of operation and maintenance of the system.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20041259","collaboration":"Prepared in cooperation with the Onondaga Lake Partnership","usgsCitation":"Freehafer, D.A., and Pierson, O., 2004, Onondaga Lake Watershed – A Geographic Information System Project Phase I – Needs assessment and spatial data framework: U.S. Geological Survey Open-File Report 2004-1259, iv, 79 p., https://doi.org/10.3133/ofr20041259.","productDescription":"iv, 79 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":323378,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2004/1259/ofr20041259.pdf","text":"Report","size":"2.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2004-1259"},{"id":191790,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2004/1259/coverthb.jpg"}],"contact":"<p>Director, New York Water Science Center<br>U.S. Geological Survey<br> 425 Jordan Rd<br> Troy, NY 12180<br> (518) 285-5695&nbsp;<br> <a href=\"http://ny.water.usgs.gov/\" data-mce-href=\"http://ny.water.usgs.gov/\">http://ny.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract&nbsp;</li>\n<li>Introduction</li>\n<li>Needs Assessment&nbsp;</li>\n<li>Spatial Data Framework</li>\n<li>Summary and Conclusions</li>\n<li>Appendixes</li>\n</ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af3e4b07f02db6919c8","contributors":{"authors":[{"text":"Freehafer, Douglas A. dfreehaf@usgs.gov","contributorId":5181,"corporation":false,"usgs":true,"family":"Freehafer","given":"Douglas","email":"dfreehaf@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":285237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierson, Oliver","contributorId":90830,"corporation":false,"usgs":true,"family":"Pierson","given":"Oliver","email":"","affiliations":[],"preferred":false,"id":285238,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":72246,"text":"ofr20041292 - 2004 - Geomorphic Data Collected Within and Adjacent to Nebraska Public Power District's Cottonwood Ranch Property, Platte River, Nebraska, Water Year 2003","interactions":[],"lastModifiedDate":"2012-02-02T00:13:58","indexId":"ofr20041292","displayToPublicDate":"2005-09-19T00:00:00","publicationYear":"2004","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":"2004-1292","title":"Geomorphic Data Collected Within and Adjacent to Nebraska Public Power District's Cottonwood Ranch Property, Platte River, Nebraska, Water Year 2003","language":"ENGLISH","doi":"10.3133/ofr20041292","usgsCitation":"Kinzel, P.J., Parker, R.S., Nelson, J.M., Burman, A.R., and Heckman, A.K., 2004, Geomorphic Data Collected Within and Adjacent to Nebraska Public Power District's Cottonwood Ranch Property, Platte River, Nebraska, Water Year 2003: U.S. Geological Survey Open-File Report 2004-1292, 25 p. + additional files, https://doi.org/10.3133/ofr20041292.","productDescription":"25 p. + additional files","costCenters":[],"links":[{"id":191523,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7098,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://wwwbrr.cr.usgs.gov/projects/SW_Env_Fluid/downloads.html","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c563","contributors":{"authors":[{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":285239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Randolph S.","contributorId":58638,"corporation":false,"usgs":true,"family":"Parker","given":"Randolph","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":285241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":285240,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burman, Aaron R.","contributorId":102960,"corporation":false,"usgs":true,"family":"Burman","given":"Aaron","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":285242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heckman, Ashley K.","contributorId":103748,"corporation":false,"usgs":true,"family":"Heckman","given":"Ashley","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":285243,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":72250,"text":"ofr20041448 - 2004 - Anthropogenic and natural variation in ridge and slough pollen assemblages","interactions":[],"lastModifiedDate":"2025-04-18T15:21:08.886398","indexId":"ofr20041448","displayToPublicDate":"2005-09-19T00:00:00","publicationYear":"2004","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":"2004-1448","title":"Anthropogenic and natural variation in ridge and slough pollen assemblages","docAbstract":"<p>We present pollen evidence documenting the response of sawgrass ridge and slough systems of the Florida Everglades to hydrologic changes during the last 3,500 years. Sediment cores and surface samples were collected in three transects across sawgrass ridges and sloughs in Water Conservation Area 3A to determine the age of the features, long-term variability in plant community composition, stability of sawgrass ridge and slough size, and their response to 20th century changes in hydrology. Statistically significant differences in abundance of Cladium pollen in surface samples collected throughout the system allow differentiation of these communities in the sedimentary pollen record. Analysis of pollen in cores from the three transects indicates that the general distribution of ridges and sloughs has remained distinct through time. There is evidence the vegetation has responded to past global-scale climate events, such as the Medieval Warm Period, as well as the 20th century anthropogenic alterations to the natural hydrology. The ridge community is more responsive and susceptible to perturbations in hydrology than the slough community. In contrast, the slough plant community is more stable and less likely to demonstrate long-term changes after perturbations to hydrology. Regardless, these data indicate that the ridge and slough landscape is resilient to changes in hydrology and posses the potential to return to a natural state with the return of natural hydrologic conditions.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20041448","usgsCitation":"Anthropogenic and natural variation in ridge and slough pollen assemblages; 2004; OFR; 2004-1448; Bernhardt, C. E.; Willard, D. A.; Marot, M.; Holmes, C. W.","productDescription":"47 p.","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":191576,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2004/1448/coverthb.jpg"},{"id":7101,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2004/1448/ofr2004-1448.pdf","text":"Report","size":"14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2004-1448"}],"country":"United States","state":"Florida","otherGeospatial":"EVerglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.80673570366878,\n              26.675326020536033\n            ],\n            [\n              -81.80673570366878,\n              25.146366253936478\n            ],\n            [\n              -80.04112884281307,\n              25.146366253936478\n            ],\n            [\n              -80.04112884281307,\n              26.675326020536033\n            ],\n            [\n              -81.80673570366878,\n              26.675326020536033\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/car-fl-water\" data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>3321 College Avenue<br>Davie, FL 33314</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishedDate":"2004-12-01","noUsgsAuthors":false,"publicationDate":"2004-12-01","publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b2d7","contributors":{"authors":[{"text":"Bernhardt, C.E.","contributorId":65554,"corporation":false,"usgs":true,"family":"Bernhardt","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":285259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willard, Debra  A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":85982,"corporation":false,"usgs":true,"family":"Willard","given":"Debra  A.","affiliations":[],"preferred":false,"id":285261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marot, M.","contributorId":67601,"corporation":false,"usgs":true,"family":"Marot","given":"M.","affiliations":[],"preferred":false,"id":285260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holmes, C. W.","contributorId":36076,"corporation":false,"usgs":true,"family":"Holmes","given":"C.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":285258,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":72244,"text":"ofr20041232 - 2004 - Delineation of faults, fractures, foliation, and ground-water-flow zones in fractured-rock, on the southern part of Manhattan, New York, through use of advanced borehole-geophysical techniques","interactions":[],"lastModifiedDate":"2017-04-04T13:23:47","indexId":"ofr20041232","displayToPublicDate":"2005-09-19T00:00:00","publicationYear":"2004","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":"2004-1232","title":"Delineation of faults, fractures, foliation, and ground-water-flow zones in fractured-rock, on the southern part of Manhattan, New York, through use of advanced borehole-geophysical techniques","docAbstract":"<p>Advanced borehole-geophysical techniques were used to assess the geohydrology of crystalline bedrock in 20 boreholes on the southern part of Manhattan Island, N.Y., in preparation for construction of a third water tunnel for New York City. The borehole-logging techniques included natural gamma, single-point resistance, short-normal resistivity, mechanical and acoustic caliper, magnetic susceptibility, borehole-fluid temperature and resistivity, borehole-fluid specific conductance, dissolved oxygen, pH, redox, heatpulse flowmeter (at selected boreholes), borehole deviation, acoustic and optical televiewer, and borehole radar (at selected boreholes). Hydraulic head and specific-capacity test data were collected from 29 boreholes. The boreholes penetrated gneiss, schist, and other crystalline bedrock that has an overall southwest to northwest-dipping foliation. Most of the fractures penetrated are nearly horizontal or have moderate- to high-angle northwest or eastward dip azimuths. Foliation dip within the potential tunnel-construction zone is northwestward and southeastward in the proposed North Water-Tunnel, northwestward to southwestward in the proposed Midtown Water-Tunnel, and northwestward to westward dipping in the proposed South Water-Tunnel. Fracture population dip azimuths are variable. Heat-pulse flowmeter logs obtained under pumping and nonpumping (ambient) conditions, together with other geophysical logs, indicate transmissive fracture zones in each borehole. The 60-megahertz directional borehole-radar logs delineated the location and orientation of several radar reflectors that did not intersect the projection of the borehole.</p><p>Fracture indexes range from 0.12 to 0.93 fractures per foot of borehole. Analysis of specific-capacity tests from each borehole indicated that transmissivity ranges from 2 to 459 feet squared per day; the highest transmissivity is at the Midtown Water-Tunnel borehole (E35ST-D).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20041232","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Stumm, F., Chu, A., and Monti, J., 2004, Delineation of faults, fractures, foliation, and ground-water-flow zones in fractured-rock, on the southern part of Manhattan, New York, through use of advanced borehole-geophysical techniques: U.S. Geological Survey Open-File Report 2004-1232, viii, 212 p., https://doi.org/10.3133/ofr20041232.","productDescription":"viii, 212 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":191789,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2004/1232/coverthb.jpg"},{"id":323372,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2004/1232/ofr20041232.pdf","text":"Report","size":"30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2004-1232"}],"contact":"<p>Director, New York Water Science Center<br>U.S. Geological Survey<br> 425 Jordan Rd<br> Troy, NY 12180<br> (518) 285-5695&nbsp;<br> <a href=\"http://ny.water.usgs.gov/\" data-mce-href=\"http://ny.water.usgs.gov/\">http://ny.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods</li>\n<li>Delineation of Faults, Fractures, Foliation, and Ground-Water-Flow Zones</li>\n<li>Summary and Conclusions</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n<li>Appendix 1.&nbsp;Depth, dip azimuth, and dip angle of fractures and foliation observed by &nbsp;optical televiewer in North Water-Tunnel boreholes (W65ST-A, W67ST-A), Manhattan Island, N.Y., 2003-04</li>\n<li>Appendix 2. &nbsp;Depth, dip azimuth, and dip angle of fractures and foliation observed by &nbsp;optical televiewer in Midtown Water-Tunnel boreholes (W30ST-A, E30ST-A, &nbsp;E30ST-B, E33ST-A, E35ST-D, E39ST-A, E45ST-A, E48ST-A, E52ST-A, E54ST-A, &nbsp;E55ST-B) Manhattan Island, N.Y., 2003-04&nbsp;</li>\n<li>Appendix 3. Depth, dip azimuth, and dip angle of fractures and foliation observed by &nbsp;optical televiewer in South Water-Tunnel boreholes (Ericsson-A, FranklinST-B, &nbsp;FranklinST-A, GrandST-B, PrinceST-A, BondST-A, 31B-1), Manhattan Island, &nbsp;N.Y., 2003-04</li>\n</ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abae4b07f02db671c72","contributors":{"authors":[{"text":"Stumm, Frederick 0000-0002-5388-8811 fstumm@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-8811","contributorId":1077,"corporation":false,"usgs":true,"family":"Stumm","given":"Frederick","email":"fstumm@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":285234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chu, Anthony 0000-0001-8623-2862 achu@usgs.gov","orcid":"https://orcid.org/0000-0001-8623-2862","contributorId":2517,"corporation":false,"usgs":true,"family":"Chu","given":"Anthony","email":"achu@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":285236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monti, Jack Jr. jmonti@usgs.gov","contributorId":1185,"corporation":false,"usgs":true,"family":"Monti","given":"Jack","suffix":"Jr.","email":"jmonti@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":285235,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":71046,"text":"ofr20041270 - 2004 - Simulation of ground-water flow in the Vevay Township area, Ingham County, Michigan","interactions":[],"lastModifiedDate":"2017-07-12T10:28:17","indexId":"ofr20041270","displayToPublicDate":"2005-08-20T00:00:00","publicationYear":"2004","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":"2004-1270","title":"Simulation of ground-water flow in the Vevay Township area, Ingham County, Michigan","docAbstract":"<p>Ground water is the primary source of water for domestic, public-supply, and industrial use within the Tri-County region that includes Clinton, Eaton, and Ingham Counties in Michigan. Because of the importance of this ground-water resource, numerous communities, including the city of Mason in Ingham County, have begun local Wellhead Protection Programs. In these programs, communities protect their groundwater resource by identifying the areas that contribute water to production wells and potential sources of contamination, and by developing methods to manage and minimize threats to the water supply. In addition, some communities in Michigan are concerned about water availability, particularly in areas experiencing water-level declines in the vicinity of quarry dewatering operations. In areas where Wellhead Protection Programs are implemented and there are potential threats to the water supply, residents and communities need adequate information to protect the water supply.</p><p>In 1996, a regional ground-water-flow model was developed by the U.S. Geological Survey to simulate ground-water flow in Clinton, Eaton, and Ingham Counties. This model was developed primarily to simulate the bedrock ground-waterflow system; ground-water flow in the unconsolidated glacial sediments was simulated to support analysis of flow in the underlying bedrock Saginaw aquifer. Since its development in 1996, regional model simulations have been conducted to address protection concerns and water availability questions of local water-resources managers. As a result of these continuing model simulations, additional hydrogeologic data have been acquired in the Tri-County region that has improved the characterization of the simulated ground-water-flow system and improved the model calibration. A major benefit of these updates and refinements is that the regional Tri-County model continues to be a useful tool that improves the understanding of the ground-water-flow system in the Tri-County region, provides local water-resources managers with a means to answer ground-water protection and availability questions, and serves as an example that can be applied in other areas of the state.</p><p>A refined version of the 1996 Tri-County regional ground-water-flow model, developed in 1997, was modified with local hydrogeologic information in the Vevay Township area in Michigan. This model, updated in 2003 for this study, was used to simulate ground-water flow to address groundwater protection and availability questions in Vevay Township. The 2003 model included refinement of glacial and bedrock hydraulic characteristics, better representation of the degree of connection between the glacial deposits and the underlying Saginaw aquifer, and refinement of the model cell size.</p><p>The 2003 model was used to simulate regional groundwater flow, to delineate areas contributing recharge and zones of contribution to production wells in the city of Mason, and to simulate the effects of present and possible future withdrawals. The areal extent of the 10- and 40-year areas contributing recharge and the zones of contribution for the city of Mason's production wells encompass about 2.3 and 6.2 square miles, respectively. Simulation results, where withdrawals for quarry operations were represented by one well pumping at 1.6 million gallons per day, indicate that water levels would decline slightly over 1 foot approximately 2 miles from the quarry in the glacial deposits and in the Saginaw aquifer. With a reduction of the local riverbed conductance or removal of local river model cells representing Mud Creek, water-level declines would extend further west of Mud Creek and further to the north, east, and south of the simulated quarry. Simulation results indicate that water withdrawn for quarry dewatering operations would decrease ground-water recharge to nearby Mud Creek, would increase ground-water discharge from Mud Creek, and that local water levels would be lowered as a result.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20041270","usgsCitation":"Luukkonen, C.L., and Simard, A., 2004, Simulation of ground-water flow in the Vevay Township area, Ingham County, Michigan: U.S. Geological Survey Open-File Report 2004-1270, v, 34 p., https://doi.org/10.3133/ofr20041270.","productDescription":"v, 34 p.","numberOfPages":"39","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":185740,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2004/1270/report-thumb.jpg"},{"id":343655,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2004/1270/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Michigan","county":"Ingham County","otherGeospatial":"Vevay Township Area","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-84.1593,42.7779],[-84.1519,42.685],[-84.146,42.5999],[-84.1402,42.4239],[-84.2539,42.4236],[-84.2607,42.4242],[-84.3676,42.4242],[-84.3677,42.4224],[-84.4864,42.4215],[-84.6026,42.4215],[-84.6039,42.5092],[-84.6034,42.5965],[-84.6062,42.7693],[-84.4856,42.7702],[-84.3657,42.7701],[-84.3649,42.7746],[-84.1593,42.7779]]]},\"properties\":{\"name\":\"Ingham\",\"state\":\"MI\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f276e","contributors":{"authors":[{"text":"Luukkonen, Carol L. clluukko@usgs.gov","contributorId":3489,"corporation":false,"usgs":true,"family":"Luukkonen","given":"Carol","email":"clluukko@usgs.gov","middleInitial":"L.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":283544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simard, Andreanne","contributorId":34180,"corporation":false,"usgs":true,"family":"Simard","given":"Andreanne","email":"","affiliations":[],"preferred":false,"id":283545,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70863,"text":"sir20045291 - 2004 - Effects of Abandoned Coal-Mine Drainage on Streamflow and Water Quality in the Mahanoy Creek Basin, Schuylkill, Columbia, and Northumberland Counties, Pennsylvania, 2001","interactions":[],"lastModifiedDate":"2017-07-10T10:31:22","indexId":"sir20045291","displayToPublicDate":"2005-07-17T00:00:00","publicationYear":"2004","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":"2004-5291","title":"Effects of Abandoned Coal-Mine Drainage on Streamflow and Water Quality in the Mahanoy Creek Basin, Schuylkill, Columbia, and Northumberland Counties, Pennsylvania, 2001","docAbstract":"This report assesses the contaminant loading, effects to receiving streams, and possible remedial alternatives for abandoned mine drainage (AMD) within the Mahanoy Creek Basin in east-central Pennsylvania. The Mahanoy Creek Basin encompasses an area of 157 square miles (407 square kilometers) including approximately 42 square miles (109 square kilometers) underlain by the Western Middle Anthracite Field. As a result of more than 150 years of anthracite mining in the basin, ground water, surface water, and streambed sediments have been adversely affected. Leakage from streams to underground mines and elevated concentrations (above background levels) of acidity, metals, and sulfate in the AMD from flooded underground mines and (or) unreclaimed culm (waste rock) degrade the aquatic ecosystem and impair uses of the main stem of Mahanoy Creek from its headwaters to its mouth on the Susquehanna River. Various tributaries also are affected, including North Mahanoy Creek, Waste House Run, Shenandoah Creek, Zerbe Run, and two unnamed tributaries locally called Big Mine Run and Big Run. The Little Mahanoy Creek and Schwaben Creek are the only major tributaries not affected by mining. To assess the current hydrological and chemical characteristics of the AMD and its effect on receiving streams, and to identify possible remedial alternatives, the U.S. Geological Survey (USGS) began a study in 2001, in cooperation with the Pennsylvania Department of Environmental Protection and the Schuylkill Conservation District.\r\n\r\nAquatic ecological surveys were conducted by the USGS at five stream sites during low base-flow conditions in October 2001. Twenty species of fish were identified in Schwaben Creek near Red Cross, which drains an unmined area of 22.7 square miles (58.8 square kilometers) in the lower part of the Mahanoy Creek Basin. In contrast, 14 species of fish were identified in Mahanoy Creek near its mouth at Kneass, below Schwaben Creek. The diversity and abundance of fish species in Mahanoy Creek decreased progressively upstream from 13 species at Gowen City to only 2 species each at Ashland and Girardville. White sucker (Catostomus commersoni), a pollution-tolerant species, was present at each of the surveyed reaches. The presence of fish at Girardville was unexpected because of the poor water quality and iron-encrusted streambed at this location. Generally, macroinvertebrate diversity and abundance at these sites were diminished compared to Schwaben Creek and other tributaries draining unmined basins, consistent with the observed quality of streamwater and streambed sediment.\r\n\r\nData on the flow rate and chemistry for 35 AMD sources and 31 stream sites throughout the Mahanoy Creek Basin were collected by the USGS during high base-flow conditions in March 2001 and low base-flow conditions in August 2001. A majority of the base-flow streamwater samples met water-quality standards for pH (6.0 to 9.0); however, few samples downstream from AMD sources met criteria for acidity less than alkalinity (net alkalinity = 20 milligrams per liter as CaCO3) and concentrations of dissolved iron (0.3 milligram per liter) and total manganese (1.0 milligram per liter). Iron, aluminum, and various trace elements including cobalt, copper, lead, nickel, and zinc, were present in many streamwater samples at concentrations at which continuous exposure can not be tolerated by aquatic organisms without an unacceptable effect. Furthermore, concentrations of sulfate, iron, manganese, aluminum, and (or) beryllium in some samples exceeded drinking-water standards. Other trace elements, including antimony, arsenic, barium, cadmium, chromium, selenium, silver, and thallium, did not exceed water-quality criteria for protection of aquatic organisms or human health. Nevertheless, when considered together, concentrations of iron, manganese, arsenic, cadmium, chromium, copper, lead, nickel, and zinc in a majority of the streambed sediment samples from Mahanoy Creek and ","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20045291","collaboration":"Prepared in cooperation with the Schuylkill Conservation District and the Pennsylvania Department of Environmental Protection","usgsCitation":"Cravotta, C.A., 2004, Effects of Abandoned Coal-Mine Drainage on Streamflow and Water Quality in the Mahanoy Creek Basin, Schuylkill, Columbia, and Northumberland Counties, Pennsylvania, 2001: U.S. Geological Survey Scientific Investigations Report 2004-5291, Available online and on CD-ROM; Report: vi, 60 p., https://doi.org/10.3133/sir20045291.","productDescription":"Available online and on CD-ROM; Report: vi, 60 p.","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":186183,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10549,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2004/5291/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.91666666666667,40.5 ], [ -76.91666666666667,41 ], [ -76,41 ], [ -76,40.5 ], [ -76.91666666666667,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db62526f","contributors":{"authors":[{"text":"Cravotta, Charles A. III, 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":2193,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III,","email":"cravotta@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":283153,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70851,"text":"fs20043048 - 2004 - Michigan lakes: An assessment of water quality","interactions":[],"lastModifiedDate":"2017-01-20T10:55:15","indexId":"fs20043048","displayToPublicDate":"2005-07-15T00:00:00","publicationYear":"2004","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":"2004-3048","title":"Michigan lakes: An assessment of water quality","docAbstract":"<p>Michigan has more than 11,000 inland lakes, that provide countless recreational opportunities and are an important resource that makes tourism and recreation a $15-billion-dollar per-year industry in the State (Stynes, 2002). Knowledge of the water-quality characteristics of inland lakes is essential for the current and future management of these resources.</p><p>Historically the U. S. Geological Survey (USGS) and the Michigan Department of Environmental Quality (MDEQ) jointly have monitored water quality in Michigan's lakes and rivers. During the 1990's, however, funding for surface-water-quality monitoring was reduced greatly. In 1998, the citizens of Michigan passed the Clean Michigan Initiative to clean up, protect, and enhance Michigan's environmental infrastructure. Because of expanding water-quality-data needs, the MDEQ and the USGS jointly redesigned and implemented the Lake Water-Quality Assessment (LWQA) Monitoring Program (Michigan Department of Environmental Quality, 1997).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20043048","usgsCitation":"Minnerick, R., 2004, Michigan lakes: An assessment of water quality: U.S. Geological Survey Fact Sheet 2004-3048, 4 p., https://doi.org/10.3133/fs20043048.","productDescription":"4 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":126265,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2004_3048.jpg"},{"id":6484,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/fs2004-3048/","linkFileType":{"id":5,"text":"html"}}],"country":"United 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,{"id":70664,"text":"ofr20041366 - 2004 - Methods and hydrogeologic data from test drilling and geophysical logging surveys in the Lawrenceville, Georgia, area","interactions":[],"lastModifiedDate":"2017-02-03T12:13:40","indexId":"ofr20041366","displayToPublicDate":"2005-06-04T00:00:00","publicationYear":"2004","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":"2004-1366","title":"Methods and hydrogeologic data from test drilling and geophysical logging surveys in the Lawrenceville, Georgia, area","language":"ENGLISH","doi":"10.3133/ofr20041366","usgsCitation":"Williams, L.J., Albertson, P.N., Tucker, D.D., and Painter, J.A., 2004, Methods and hydrogeologic data from test drilling and geophysical logging surveys in the Lawrenceville, Georgia, area: U.S. Geological Survey Open-File Report 2004-1366, 41 p., https://doi.org/10.3133/ofr20041366.","productDescription":"41 p.","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":185746,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6757,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2004/1366/","linkFileType":{"id":5,"text":"html"}}],"scale":"5000000","country":"United States","state":"Georgia","city":"Lawrenceville","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.71307373046874,\n              35.67068501330236\n            ],\n            [\n              -83.71307373046874,\n              35.67068501330236\n            ],\n            [\n              -83.7103271484375,\n              35.67068501330236\n            ],\n            [\n              -83.7103271484375,\n              35.67068501330236\n            ],\n            [\n              -83.71307373046874,\n              35.67068501330236\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {\n        \"stroke\": \"#555555\",\n        \"stroke-width\": 2,\n        \"stroke-opacity\": 1,\n        \"fill\": \"#555555\",\n        \"fill-opacity\": 0.5\n      },\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.10823822021484,\n              33.88124717926603\n            ],\n            [\n              -84.10823822021484,\n              34.02762404762424\n            ],\n            [\n              -83.87992858886719,\n              34.02762404762424\n            ],\n            [\n              -83.87992858886719,\n              33.88124717926603\n            ],\n            [\n              -84.10823822021484,\n              33.88124717926603\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db62a0b7","contributors":{"authors":[{"text":"Williams, Lester J. lesterw@usgs.gov","contributorId":2395,"corporation":false,"usgs":true,"family":"Williams","given":"Lester","email":"lesterw@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":282849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Albertson, Phillip N.","contributorId":96331,"corporation":false,"usgs":true,"family":"Albertson","given":"Phillip","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":282851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Donna D.","contributorId":95758,"corporation":false,"usgs":true,"family":"Tucker","given":"Donna","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":282850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":282848,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70638,"text":"sir20045225 - 2004 - Analyses and estimates of hydraulic conductivity from slug tests in alluvial aquifer underlying Air Force Plant 4 and Naval Air Station-Joint Reserve Base Carswell Field, Fort Worth, Texas","interactions":[],"lastModifiedDate":"2024-03-01T22:52:33.041636","indexId":"sir20045225","displayToPublicDate":"2005-06-02T00:00:00","publicationYear":"2004","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":"2004-5225","title":"Analyses and estimates of hydraulic conductivity from slug tests in alluvial aquifer underlying Air Force Plant 4 and Naval Air Station-Joint Reserve Base Carswell Field, Fort Worth, Texas","docAbstract":"This report describes the collection, analyses, and distribution of hydraulic-conductivity data obtained from slug tests completed in the alluvial aquifer underlying Air Force Plant 4 and Naval Air Station-Joint Reserve Base Carswell Field, Fort Worth, Texas, during October 2002 and August 2003 and summarizes previously available hydraulic-conductivity data. The U.S. Geological Survey, in cooperation with the U.S. Air Force, completed 30 slug tests in October 2002 and August 2003 to obtain estimates of horizontal hydraulic conductivity to use as initial values in a ground-water-flow model for the site. The tests were done by placing a polyvinyl-chloride slug of known volume beneath the water level in selected wells, removing the slug, and measuring the resulting water-level recovery over time. The water levels were measured with a pressure transducer and recorded with a data logger. Hydraulic-conductivity values were estimated from an analytical relation between the instantaneous displacement of water in a well bore and the resulting rate of head change. Although nearly two-thirds of the tested wells recovered 90 percent of their slug-induced head change in less than 2 minutes, 90-percent recovery times ranged from 3 seconds to 35 minutes. The estimates of hydraulic conductivity range from 0.2 to 200 feet per day. Eighty-three percent of the estimates are between 1 and 100 feet per day.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Austin, TX","doi":"10.3133/sir20045225","collaboration":"In cooperation with the U.S. Air Force, Aeronautical Systems Center, Environmental Management Directorate, Wright-Patterson Air Force Base, Ohio","usgsCitation":"Houston, N.A., and Braun, C.L., 2004, Analyses and estimates of hydraulic conductivity from slug tests in alluvial aquifer underlying Air Force Plant 4 and Naval Air Station-Joint Reserve Base Carswell Field, Fort Worth, Texas: U.S. Geological Survey Scientific Investigations Report 2004-5225, Report: iv, 22 p.; 1 Plate: 26.00 x 24.00 inches, https://doi.org/10.3133/sir20045225.","productDescription":"Report: iv, 22 p.; 1 Plate: 26.00 x 24.00 inches","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":426218,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_73752.htm","linkFileType":{"id":5,"text":"html"}},{"id":6847,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2004/5225/","linkFileType":{"id":5,"text":"html"}},{"id":327719,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20045225.JPG"}],"scale":"100000","country":"United States","state":"Texas","city":"Fort Worth","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.444444,\n              32.791667\n            ],\n            [\n              -97.444444,\n              32.752778\n            ],\n            [\n              -97.395833,\n              32.752778\n            ],\n            [\n              -97.395833,\n              32.791667\n            ],\n            [\n              -97.444444,\n              32.791667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db683887","contributors":{"authors":[{"text":"Houston, Natalie A. 0000-0002-6071-4545 nhouston@usgs.gov","orcid":"https://orcid.org/0000-0002-6071-4545","contributorId":1682,"corporation":false,"usgs":true,"family":"Houston","given":"Natalie","email":"nhouston@usgs.gov","middleInitial":"A.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":282796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":282795,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70622,"text":"cir1277 - 2004 - Strategic plan for the U.S. Geological Survey status and trends of Biological Resources Program: 2004-2009","interactions":[],"lastModifiedDate":"2016-12-30T10:39:53","indexId":"cir1277","displayToPublicDate":"2005-06-01T00:00:00","publicationYear":"2004","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":"1277","title":"Strategic plan for the U.S. Geological Survey status and trends of Biological Resources Program: 2004-2009","docAbstract":"<p>The mission of the USGS Status and Trends of Biological Resources Program is to measure, predict, assess, and report the status and trends of the Nation's biological resources to facilitate research, enable resource management and stewardship, and promote public understanding and appreciation of our living resources. Determining the status (abundance, distribution, productivity, and health) and trends (how these variables change over time) of our living natural resources is critical for their Trumpeter swan with numbered wing tags. This tech- protection or restoration. The Progg ran nique allows birds to he monitored remotely without the provides the USGS, other agencies of need for recapture to identify individuals. Photo by the Department of the Interior (DOI), Wayne Miller. other federal and state agencies, and the public with science-based monitoring data and information for local, regional, and national assessment of biological resources and the ecosystems that support them.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/cir1277","isbn":"9790607962870","usgsCitation":"Dresler, P.V., James, D.L., Geissler, P.H., Bartish, T.M., and Coyle, J., 2004, Strategic plan for the U.S. Geological Survey status and trends of Biological Resources Program: 2004-2009: U.S. Geological Survey Circular 1277, vii, 23 p., https://doi.org/10.3133/cir1277.","productDescription":"vii, 23 p.","numberOfPages":"34","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":332678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11532,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1277/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b28e4b07f02db6b157b","contributors":{"authors":[{"text":"Dresler, Paul V.","contributorId":48600,"corporation":false,"usgs":true,"family":"Dresler","given":"Paul","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":282732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James, Daniel L.","contributorId":93987,"corporation":false,"usgs":true,"family":"James","given":"Daniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":656286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geissler, Paul H.","contributorId":33746,"corporation":false,"usgs":true,"family":"Geissler","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":656287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartish, Timothy M.","contributorId":22839,"corporation":false,"usgs":true,"family":"Bartish","given":"Timothy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":282731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coyle, James","contributorId":75956,"corporation":false,"usgs":true,"family":"Coyle","given":"James","affiliations":[],"preferred":false,"id":656288,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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