{"pageNumber":"946","pageRowStart":"23625","pageSize":"25","recordCount":46734,"records":[{"id":72768,"text":"cir1196U - 2005 - Mercury recycling in the United States in 2000","interactions":[{"subject":{"id":70911,"text":"ofr20051236 - 2005 - Mercury recycling in the United States in 2000","indexId":"ofr20051236","publicationYear":"2005","noYear":false,"title":"Mercury recycling in the United States in 2000"},"predicate":"SUPERSEDED_BY","object":{"id":72768,"text":"cir1196U - 2005 - Mercury recycling in the United States in 2000","indexId":"cir1196U","publicationYear":"2005","noYear":false,"chapter":"U","title":"Mercury recycling in the United States in 2000"},"id":1}],"lastModifiedDate":"2012-02-02T00:13:59","indexId":"cir1196U","displayToPublicDate":"2005-12-08T00:00:00","publicationYear":"2005","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":"1196","chapter":"U","title":"Mercury recycling in the United States in 2000","docAbstract":"Reclamation and recycling of mercury from used mercury- containing products and treatment of byproduct mercury from gold mining is vital to the continued, though declining, use of this metal. Mercury is reclaimed from mercury-containing waste by treatment in multistep high-temperature retorts-the mercury is volatized and then condensed for purification and sale. Some mercury-containing waste, however, may be landfilled, and landfilled material represents loss of a recyclable resource and a threat to the environment. Related issues include mercury disposal and waste management, toxicity and human health, and regulation of mercury releases in the environment.\r\n\r\nEnd-users of mercury-containing products may face fines and prosecution if these products are improperly recycled or not recycled. Local and State environmental regulations require adherence to the Resource Conservation and Recovery Act and the Comprehensive Environmental Response, Compensation, and Liability Act to regulate generation, treatment, and disposal of mercury-containing products. In the United States, several large companies and a number of smaller companies collect these products from a variety of sources and then reclaim and recycle the mercury.\r\n\r\nBecause mercury has not been mined as a principal product in the United States since 1992, mercury reclamation from fabricated products has become the main source of mercury. Principal product mercury and byproduct mercury from mining operations are considered to be primary materials. Mercury may also be obtained as a byproduct from domestic or foreign gold-processing operations. \r\n\r\nIn the early 1990s, U.S. manufacturers used an annual average that ranged from 500 to 600 metric tons of recycled and imported mercury for fabrication of automobile convenience switches, dental amalgam, fluorescent lamps, medical uses and thermometers, and thermostats. The amount now used for fabrication is estimated to be 200 metric tons per year or less. Much of the data on mercury is estimated because it is a low-volume commodity and its production, use, and disposal is difficult to track. The prices and volumes of each category of mercury-containing material may change dramatically from year to year. For example, the average price of mercury was approximately $150 per flask from 2000 until 2003 and then rose sharply to $650 per flask in fall 2004 and approximately $850 per flask in spring 2005. Since 1927, the common unit for measuring and pricing mercury has been the flask in order to conform to the system used at Almaden, Spain (Meyers, 1951). One flask weighs 34.5 kilograms, and 29 flasks of mercury are contained in a metric ton.\r\n\r\nIn the United States, the chlorine-caustic soda industry, which is the leading end-user of elemental mercury, recycles most of its mercury in-plant as home scrap. Annual purchases of replacement mercury by the chlorine-caustic soda industry indicate that some mercury may be lost through evaporation to the environment, put into a landfill as industrial waste, or trapped within pipes in the plant. Impending closure of domestic and foreign mercury-cell chlorine-caustic soda plants and the shift to nonmercury technology for chlorine-caustic soda production could ultimately result in a significant volume of elemental mercury for recycling, sale, or storage. Globally, mercury is widely used in artisanal, or small-scale, gold mining. Most of that mercury is lost to the environment and is not recycled. The recycling rate for mercury was not available owing to insufficient data in 2000, and the efficiency of mercury recycling was estimated to be 62 percent.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Flow Studies for Recycling Metal Commodities in the United States","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","doi":"10.3133/cir1196U","collaboration":"Supersedes OFR 2005-1236","usgsCitation":"Brooks, W.E., and Matos, G.R., 2005, Mercury recycling in the United States in 2000 (Version 1.0): U.S. Geological Survey Circular 1196, 26 p., https://doi.org/10.3133/cir1196U.","productDescription":"26 p.","onlineOnly":"Y","temporalStart":"2000-01-01","temporalEnd":"2000-12-31","costCenters":[],"links":[{"id":193086,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7237,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/c1196u/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db624d80","contributors":{"authors":[{"text":"Brooks, William E.","contributorId":104061,"corporation":false,"usgs":true,"family":"Brooks","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":286060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matos, Grecia R. 0000-0002-3285-3070 gmatos@usgs.gov","orcid":"https://orcid.org/0000-0002-3285-3070","contributorId":2656,"corporation":false,"usgs":true,"family":"Matos","given":"Grecia","email":"gmatos@usgs.gov","middleInitial":"R.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":286059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":72767,"text":"sir20045127 - 2005 - Aquifer properties, stream base flow, water use, and water levels in the Pohatcong Valley, Warren County, New Jersey","interactions":[],"lastModifiedDate":"2012-02-02T00:13:59","indexId":"sir20045127","displayToPublicDate":"2005-12-08T00:00:00","publicationYear":"2005","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":"2004-5127","title":"Aquifer properties, stream base flow, water use, and water levels in the Pohatcong Valley, Warren County, New Jersey","docAbstract":"A study was conducted to define the hydrogeology and describe the ground-water flow in the Pohatcong Valley in Warren County, N.J. near the Pohatcong Valley Ground Water Contamination Site. The area is underlain by glacial till and alluvial sediments and weathered and competent carbonate bedrock. The northwest and southeast valley boundaries are regional-scale thrust faults and ridges underlain by crystalline rocks. The unconsolidated sediments and weathered bedrock form a minor surficial aquifer. The carbonate rocks form a highly transmissive fractured-rock aquifer with well yields commonly as high as 500 gallons per minute. Ground-water recharge and flow in the crystalline-rock aquifer bordering the valley is minor compared to flow in the carbonate-rock aquifer, and little ground water flows into the carbonate-rock aquifer directly from the crystalline-rock aquifer. The thrust faults separating the carbonate and crystalline rocks may further impede flow between the two rock types.\r\n\r\n \r\n\r\nInterpretations of water-level and transmissivity data collected during 2000 to 2003 indicate that the carbonate formations generally can be considered to be one aquifer. The transmissivity of the carbonate-rock aquifer was estimated from the results of four aquifer tests conducted with two public supply wells. The transmissivity estimated from aquifer tests at a well located in Washington Borough is about 8,600 square feet per day. An aquifer test at a well located near the southwest border of Washington Borough was conducted to estimate transmissivity and the direction and magnitude of anisotropy. The estimated direction of maximum horizontal transmissivity near the second well is about 58? east of north and the magnitude is 7,600 square feet per day. The minimum horizontal transmissivity is 3,500 square feet per day and the ratio of anisotropy (maximum transmissivity to minimum transmissivity) is 2.2 to 1.\r\n\r\n \r\n\r\nStream base-flow data indicate that Pohatcong Creek steadily gains flow, but most of the gain is from tributaries originating in the crystalline rock areas (valley walls). Therefore, it is concluded there are no major heterogeneities (such as karst springs) in ground-water discharge to surface water. During periods of low ground-water levels, it is likely that, within the study area, Pohatcong Creek gains no flow from the carbonate-rock aquifer and may even lose flow to the surficial aquifer (which then recharges the carbonate-rock aquifer).\r\n\r\n \r\n\r\nThere are few sites in the Pohatcong Valley with large-scale (greater than 10 million gallons per year) ground- or surface-water withdrawals. The only substantial withdrawals in the valley are from two public supply wells and from two industrial facilities. Average annual withdrawals during 1997-2002 at these four locations totaled 298 million gallons per year. About 95 percent of the water withdrawn by the large industrial user (108 million gallons per year) is re-injected into the aquifer.\r\n\r\n \r\n\r\nIn some locations throughout the valley, water levels in the shallow surficial deposits were substantially higher than those in underlying carbonate-rock aquifer. Water levels in the deep part of the surficial aquifer and underlying carbonate-rock aquifer were similar, although the gradients were often (but not always) downward. Furthermore, data collected during aquifer tests at a public supply well in Washington Borough and a public-supply well west of Washington Borough show that the deep part of the surficial aquifer is hydraulically well connected to the underlying carbonate-rock aquifer at these two locations. The shallow surficial deposits, however, are not well connected to the deep surficial deposits and carbonate rock at these two locations. \r\n\r\n \r\n\r\nThe overall ground-water-flow pattern in the valley appears to be that precipitation recharges the surficial aquifer and is discharged from the surficial aquifer to the underlying bedrock aquifer and the Pohatcong Creek and its tri","language":"ENGLISH","doi":"10.3133/sir20045127","usgsCitation":"Carleton, G., Gordon, A., and Wieben, C., 2005, Aquifer properties, stream base flow, water use, and water levels in the Pohatcong Valley, Warren County, New Jersey (Online only): U.S. Geological Survey Scientific Investigations Report 2004-5127, NA, https://doi.org/10.3133/sir20045127.","productDescription":"NA","onlineOnly":"Y","costCenters":[],"links":[{"id":193085,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7236,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2004/5127/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b17e4b07f02db6a61bc","contributors":{"authors":[{"text":"Carleton, G.B.","contributorId":107729,"corporation":false,"usgs":true,"family":"Carleton","given":"G.B.","email":"","affiliations":[],"preferred":false,"id":286058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gordon, A.D.","contributorId":103711,"corporation":false,"usgs":true,"family":"Gordon","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":286057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wieben, C.M. 0000-0001-5825-5119","orcid":"https://orcid.org/0000-0001-5825-5119","contributorId":100491,"corporation":false,"usgs":true,"family":"Wieben","given":"C.M.","affiliations":[],"preferred":false,"id":286056,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":72765,"text":"sir20055230 - 2005 - Simulation of flow and sediment mobility using a multidimensional flow model for the White Sturgeon critical-habitat reach, Kootenai River near Bonners Ferry, Idaho","interactions":[],"lastModifiedDate":"2012-02-02T00:13:59","indexId":"sir20055230","displayToPublicDate":"2005-12-08T00:00:00","publicationYear":"2005","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":"2005-5230","title":"Simulation of flow and sediment mobility using a multidimensional flow model for the White Sturgeon critical-habitat reach, Kootenai River near Bonners Ferry, Idaho","docAbstract":"In 1994, the Kootenai River white sturgeon (Acipenser transmontanus) was listed as an Endangered Species as a direct result of two related observations. First, biologists observed that the white sturgeon population in the Kootenai River was declining. Second, they observed a decline in recruitment of juvenile sturgeon beginning in the 1950s with an almost total absence of recruitment since 1974, following the closure of Libby Dam in 1972. This second observation was attributed to changes in spawning and (or) rearing habitat resulting from alterations in the physical habitat, including flow regime, sediment-transport regime, and bed morphology of the river. The Kootenai River White Sturgeon Recovery Team was established to find and implement ways to improve spawning and rearing habitat used by white sturgeon. They identified the need to develop and apply a multidimensional flow model to certain reaches of the river to quantify physical habitat in a spatially distributed manner. The U.S. Geological Survey has addressed these needs by developing, calibrating, and validating a multidimensional flow model used to simulate streamflow and sediment mobility in the white sturgeon critical-habitat reach of the Kootenai River. This report describes the model and limitations, presents the results of a few simple simulations, and demonstrates how the model can be used to link physical characteristics of streamflow to biological or other habitat data. This study was conducted in cooperation with the Kootenai Tribe of Idaho along a 23-kilometer reach of the Kootenai River, including the white sturgeon spawning reach near Bonners Ferry, Idaho that is about 108 to 131 kilometers below Libby Dam.\r\n\r\nU.S. Geological Survey's MultiDimensional Surface-Water Modeling System was used to construct a flow model for the critical-habitat reach of the Kootenai River white sturgeon, between river kilometers 228.4 and 245.9. Given streamflow, bed roughness, and downstream water-surface elevation, the model computes the velocity field, water-surface elevations, and boundary shear stress throughout the modeled reach. The 17.5 kilometer model reach was subdivided into two segments on the basis of predominant grain size: a straight reach with a sand, gravel, and cobble substrate located between the upstream model boundary at river kilometer 245.9 and the upstream end of Ambush Rock at river kilometer 244.6, and a meandering reach with a predominately sand substrate located between upstream end of Ambush Rock and the downstream model boundary at river kilometer 228.4. Model cell size in the x and y (horizontal) dimensions is 5 meters by 5 meters along the computational grid centerline with 15 nodes in the z (vertical) dimension. The model was calibrated to historical streamflows evenly distributed between 141.6 and 2,548.9 cubic meters per second. The model was validated by comparing simulated velocities with velocities measured at 15 cross sections during steady streamflow. These 15 cross sections were each measured multiple (7-13) times to obtain velocities suitable for comparison to the model results. Comparison of modeled and measured velocities suggests that the model does a good job of reproducing flow patterns in the river, although some discrepancies were noted.\r\n\r\nThe model was used to simulate water-surface elevation, depth, velocity, bed shear stress, and sediment mobility for Kootenai River streamflows of 170, 566, 1,130, 1,700, and 2,270 cubic meters per second (6,000, 20,000, 40,000, 60,000, and 80,000 cubic feet per second). The three lowest streamflow simulations represent a range of typical river conditions before and since the construction of Libby Dam, and the highest streamflow simulation (2,270 cubic meters per second) is approximately equal to the annual median peak streamflow prior to emplacement of Libby Dam in 1972. Streamflow greater than 566 cubic meters per second were incrementally increased by 570 cubic meters per second. For each ","language":"ENGLISH","doi":"10.3133/sir20055230","usgsCitation":"Barton, G., McDonald, R.R., Nelson, J.M., and Dinehart, R.L., 2005, Simulation of flow and sediment mobility using a multidimensional flow model for the White Sturgeon critical-habitat reach, Kootenai River near Bonners Ferry, Idaho: U.S. Geological Survey Scientific Investigations Report 2005-5230, 64 p., https://doi.org/10.3133/sir20055230.","productDescription":"64 p.","costCenters":[],"links":[{"id":193026,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7234,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5230/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f2e60","contributors":{"authors":[{"text":"Barton, Gary J. gbarton@usgs.gov","contributorId":1147,"corporation":false,"usgs":true,"family":"Barton","given":"Gary J.","email":"gbarton@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":286052,"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":286053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dinehart, Randal L.","contributorId":21151,"corporation":false,"usgs":true,"family":"Dinehart","given":"Randal","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":286054,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":72756,"text":"ofr20051343 - 2005 - Conodont database and analysis of conodont color alteration patterns in the Las Vegas 30' X 60' quadrangle, Clark and Nye Counties, Nevada, and Inyo County, California","interactions":[],"lastModifiedDate":"2021-10-08T15:32:32.514234","indexId":"ofr20051343","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","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":"2005-1343","title":"Conodont database and analysis of conodont color alteration patterns in the Las Vegas 30' X 60' quadrangle, Clark and Nye Counties, Nevada, and Inyo County, California","docAbstract":"

No abstract available.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051343","usgsCitation":"Harris, A.G., Page, W.R., Krumhardt, A.P., Repetski, J.E., and Turner, K.J., 2005, Conodont database and analysis of conodont color alteration patterns in the Las Vegas 30' X 60' quadrangle, Clark and Nye Counties, Nevada, and Inyo County, California (Online only, Version 1.0): U.S. Geological Survey Open-File Report 2005-1343, 39 p., https://doi.org/10.3133/ofr20051343.","productDescription":"39 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":192965,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":390338,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_74260.htm"},{"id":7228,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1343/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California, Nevada","county":"Clark County, Inyo County, Nye County","otherGeospatial":"Las Vegas 30' X 60' quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116,\n 36\n ],\n [\n -115,\n 36\n ],\n [\n -115,\n 36.5\n ],\n [\n -116,\n 36.5\n ],\n [\n -116,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online only, Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b13e4b07f02db6a319d","contributors":{"authors":[{"text":"Harris, Anita G.","contributorId":50162,"corporation":false,"usgs":true,"family":"Harris","given":"Anita","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":286032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, William R. 0000-0002-0722-9911 rpage@usgs.gov","orcid":"https://orcid.org/0000-0002-0722-9911","contributorId":1628,"corporation":false,"usgs":true,"family":"Page","given":"William","email":"rpage@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":286030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krumhardt, Andrea P.","contributorId":71946,"corporation":false,"usgs":true,"family":"Krumhardt","given":"Andrea","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":286033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":286031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turner, Kenzie J. 0000-0002-4940-3981 kturner@usgs.gov","orcid":"https://orcid.org/0000-0002-4940-3981","contributorId":496,"corporation":false,"usgs":true,"family":"Turner","given":"Kenzie","email":"kturner@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":286029,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":72752,"text":"wdrPR031 - 2005 - Water resources data Puerto Rico and the U.S. Virgin Islands water year 2003","interactions":[],"lastModifiedDate":"2012-02-10T00:11:36","indexId":"wdrPR031","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","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":"PR-03-1","title":"Water resources data Puerto Rico and the U.S. Virgin Islands water year 2003","language":"ENGLISH","doi":"10.3133/wdrPR031","usgsCitation":"Diaz, P.L., Aquino, Z., Figueroa-Alamo, C., Garcia, R., and Sanchez, A.V., 2005, Water resources data Puerto Rico and the U.S. Virgin Islands water year 2003: U.S. Geological Survey Water Data Report PR-03-1, 583 p., https://doi.org/10.3133/wdrPR031.","productDescription":"583 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":192587,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7224,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wdr/wdr-pr-03-1/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.41666666666667,17.833333333333332 ], [ -67.41666666666667,18.833333333333332 ], [ -64.83333333333333,18.833333333333332 ], [ -64.83333333333333,17.833333333333332 ], [ -67.41666666666667,17.833333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db688ea8","contributors":{"authors":[{"text":"Diaz, Pedro L.","contributorId":40663,"corporation":false,"usgs":true,"family":"Diaz","given":"Pedro","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":286018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aquino, Zaida","contributorId":71621,"corporation":false,"usgs":true,"family":"Aquino","given":"Zaida","email":"","affiliations":[],"preferred":false,"id":286020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Figueroa-Alamo, Carlos","contributorId":95904,"corporation":false,"usgs":true,"family":"Figueroa-Alamo","given":"Carlos","email":"","affiliations":[],"preferred":false,"id":286021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Rene","contributorId":106089,"corporation":false,"usgs":true,"family":"Garcia","given":"Rene","email":"","affiliations":[],"preferred":false,"id":286022,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanchez, Ana V.","contributorId":43424,"corporation":false,"usgs":true,"family":"Sanchez","given":"Ana","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":286019,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":72753,"text":"sir20055153 - 2005 - Bankfull characteristics of Ohio streams and their relation to peak streamflows","interactions":[],"lastModifiedDate":"2012-02-10T00:11:36","indexId":"sir20055153","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","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":"2005-5153","title":"Bankfull characteristics of Ohio streams and their relation to peak streamflows","docAbstract":"Regional curves, simple-regression equations, and multiple-regression equations were developed to estimate bankfull width, bankfull mean depth, bankfull cross-sectional area, and bankfull discharge of rural, unregulated streams in Ohio. The methods are based on geomorphic, basin, and flood-frequency data collected at 50 study sites on unregulated natural alluvial streams in Ohio, of which 40 sites are near streamflow-gaging stations. The regional curves and simple-regression equations relate the bankfull characteristics to drainage area. The multiple-regression equations relate the bankfull characteristics to drainage area, main-channel slope, main-channel elevation index, median bed-material particle size, bankfull cross-sectional area, and local-channel slope. Average standard errors of prediction for bankfull width equations range from 20.6 to 24.8 percent; for bankfull mean depth, 18.8 to 20.6 percent; for bankfull cross-sectional area, 25.4 to 30.6 percent; and for bankfull discharge, 27.0 to 78.7 percent. The simple-regression (drainage-area only) equations have the highest average standard errors of prediction. The multiple-regression equations in which the explanatory variables included drainage area, main-channel slope, main-channel elevation index, median bed-material particle size, bankfull cross-sectional area, and local-channel slope have the lowest average standard errors of prediction. \r\n\r\nField surveys were done at each of the 50 study sites to collect the geomorphic data. Bankfull indicators were identified and evaluated, cross-section and longitudinal profiles were surveyed, and bed- and bank-material were sampled. Field data were analyzed to determine various geomorphic characteristics such as bankfull width, bankfull mean depth, bankfull cross-sectional area, bankfull discharge, streambed slope, and bed- and bank-material particle-size distribution. The various geomorphic characteristics were analyzed by means of a combination of graphical and statistical techniques. \r\n\r\nThe logarithms of the annual peak discharges for the 40 gaged study sites were fit by a Pearson Type III frequency distribution to develop flood-peak discharges associated with recurrence intervals of 2, 5, 10, 25, 50, and 100 years. The peak-frequency data were related to geomorphic, basin, and climatic variables by multiple-regression analysis. Simple-regression equations were developed to estimate 2-, 5-, 10-, 25-, 50-, and 100-year flood-peak discharges of rural, unregulated streams in Ohio from bankfull channel cross-sectional area. The average standard errors of prediction are 31.6, 32.6, 35.9, 41.5, 46.2, and 51.2 percent, respectively. \r\n\r\nThe study and methods developed are intended to improve understanding of the relations between geomorphic, basin, and flood characteristics of streams in Ohio and to aid in the design of hydraulic structures, such as culverts and bridges, where stability of the stream and structure is an important element of the design criteria. The study was done in cooperation with the Ohio Department of Transportation and the U.S. Department of Transportation, Federal Highway Administration.","language":"ENGLISH","doi":"10.3133/sir20055153","usgsCitation":"Sherwood, J.M., and Huitger, C.A., 2005, Bankfull characteristics of Ohio streams and their relation to peak streamflows: U.S. Geological Survey Scientific Investigations Report 2005-5153, 52 p.; dataset available at http://water.usgs.gov/GIS/metadata/usgswrd/XML/sir2005-5153_ohio_bankfull_data.xml, https://doi.org/10.3133/sir20055153.","productDescription":"52 p.; dataset available at http://water.usgs.gov/GIS/metadata/usgswrd/XML/sir2005-5153_ohio_bankfull_data.xml","costCenters":[],"links":[{"id":192588,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7225,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5153/","linkFileType":{"id":5,"text":"html"}},{"id":8613,"rank":9999,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/sir2005-5153_ohio_bankfull_data.xml"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.880580,38.370696 ], [ -84.880580,41.721046 ], [ -80.720329,41.721046 ], [ -80.720329,38.370696 ], [ -84.880580,38.370696 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e481fe4b07f02db4e0c55","contributors":{"authors":[{"text":"Sherwood, James M.","contributorId":106878,"corporation":false,"usgs":true,"family":"Sherwood","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":286024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huitger, Carrie A. chuitger@usgs.gov","contributorId":1851,"corporation":false,"usgs":true,"family":"Huitger","given":"Carrie","email":"chuitger@usgs.gov","middleInitial":"A.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286023,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":72755,"text":"sir20055154 - 2005 - Hydrologic, water-quality, and biological assessment of Laguna de las Salinas, Ponce, Puerto Rico, January 2003-September 2004","interactions":[],"lastModifiedDate":"2012-02-10T00:11:36","indexId":"sir20055154","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","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":"2005-5154","title":"Hydrologic, water-quality, and biological assessment of Laguna de las Salinas, Ponce, Puerto Rico, January 2003-September 2004","docAbstract":"The Laguna de Las Salinas is a shallow, 35-hectare, hypersaline lagoon (depth less than 1 meter) in the municipio of Ponce, located on the southern coastal plain of Puerto Rico. Hydrologic, water-quality, and biological data in the lagoon were collected between January 2003 and September 2004 to establish baseline conditions. During the study period, rainfall was about 1,130 millimeters, with much of the rain recorded during three distinct intense events. The lagoon is connected to the sea by a shallow, narrow channel. Subtle tidal changes, combined with low rainfall and high evaporation rates, kept the lagoon at salinities above that of the sea throughout most of the study. Water-quality properties measured on-site (temperature, pH, dissolved oxygen, specific conductance, and Secchi disk transparency) exhibited temporal rather than spatial variations and distribution. Although all physical parameters were in compliance with current regulatory standards for Puerto Rico, hyperthermic and hypoxic conditions were recorded during isolated occasions. Nutrient concentrations were relatively low and in compliance with current regulatory standards (less than 5.0 and 1.0 milligrams per liter for total nitrogen and total phosphorus, respectively). The average total nitrogen concentration was 1.9 milligrams per liter and the average total phosphorus concentration was 0.4 milligram per liter. Total organic carbon concentrations ranged from 12.0 to 19.0 milligrams per liter. Chlorophyll a was the predominant form of photosynthetic pigment in the water. The average chlorophyll a concentration was 13.4 micrograms per liter. Chlorophyll b was detected (detection limits 0.10 microgram per liter) only twice during the study. About 90 percent of the primary productivity in the Laguna de Las Salinas was generated by periphyton such as algal mats and macrophytes such as seagrasses. Of the average net productivity of 13.6 grams of oxygen per cubic meter per day derived from the diel study, the periphyton and macrophyes produced 12.3 grams per cubic meter per day; about 1.3 grams (about 10 percent) were produced by the phytoplankton (plant and algae component of plankton). The total respiration rate was 59.2 grams of oxygen per cubic meter per day. The respiration rate ascribed to the plankton (all organisms floating through the water column) averaged about 6.2 grams of oxygen per cubic meter per day (about 10 percent), whereas the respiration rate by all other organisms averaged 53.0 grams of oxygen per cubic meter per day (about 90 percent). Plankton gross productivity was 7.5 grams per cubic meter per day; the gross productivity of the entire community averaged 72.8 grams per cubic meter per day. Fecal coliform bacteria counts were generally less than 200 colonies per 100 milliliters; the highest concentration was 600 colonies per 100 milliliters.","language":"ENGLISH","doi":"10.3133/sir20055154","usgsCitation":"Soler-Lopez, L.R., Gómez-Gómez, F., and Rodríguez-Martínez, J., 2005, Hydrologic, water-quality, and biological assessment of Laguna de las Salinas, Ponce, Puerto Rico, January 2003-September 2004 (Online only): U.S. Geological Survey Scientific Investigations Report 2005-5154, vi, 50 p., https://doi.org/10.3133/sir20055154.","productDescription":"vi, 50 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":192590,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7227,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5154/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.16666666666667,18.616666666666667 ], [ -67.16666666666667,18.033333333333335 ], [ -67.08333333333333,18.033333333333335 ], [ -67.08333333333333,18.616666666666667 ], [ -67.16666666666667,18.616666666666667 ] ] ] } } ] }","edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e990","contributors":{"authors":[{"text":"Soler-Lopez, Luis R.","contributorId":27501,"corporation":false,"usgs":true,"family":"Soler-Lopez","given":"Luis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":286026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gómez-Gómez, Fernando","contributorId":31366,"corporation":false,"usgs":true,"family":"Gómez-Gómez","given":"Fernando","affiliations":[],"preferred":false,"id":286027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodríguez-Martínez, Jesús","contributorId":48149,"corporation":false,"usgs":true,"family":"Rodríguez-Martínez","given":"Jesús","affiliations":[],"preferred":false,"id":286028,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":72760,"text":"ofr20051263 - 2005 - Quality management system, U.S. Geological Survey National Water Quality Laboratory","interactions":[],"lastModifiedDate":"2021-05-28T15:46:43.64089","indexId":"ofr20051263","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","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":"2005-1263","title":"Quality management system, U.S. Geological Survey National Water Quality Laboratory","docAbstract":"

A quality management system (QMS) is a document that describes the quality policy, system, and practices of an organization. The document may include by reference other publications relating to the laboratory's arrangements.

The U.S. Geological Survey QMS describes the policies, objectives, principles, organizational authority, responsibilities, accountability, and implementation plan of the National Water Quality Laboratory (NWQL) for ensuring quality in its work processes, products, and services. It includes all operations associated with its internal management and extends as far as practicable toward the field-sampling component and the data user.

The quality system described in the QMS is the framework for planning, implementing, and assessing work performed by the NWQL and for carrying out required quality assurance and quality control for compliance with the standards set by the National Environmental Laboratory Accreditation Conference.

All personnel associated with the NWQL, including Federal and non-Federal employees, are bound by the requirements set forth in the policies, processes, and standard operating procedures included or referenced in this document.

","language":"English","doi":"10.3133/ofr20051263","usgsCitation":"2005, Quality management system, U.S. Geological Survey National Water Quality Laboratory (Version 1.3): U.S. Geological Survey Open-File Report 2005-1263, 93 p., https://doi.org/10.3133/ofr20051263.","productDescription":"93 p.","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":193025,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7232,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1263/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a8fe4b07f02db6551a1","contributors":{"editors":[{"text":"Maloney, Thomas J.","contributorId":35736,"corporation":false,"usgs":true,"family":"Maloney","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":749231,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}} ,{"id":72759,"text":"ofr20051419 - 2005 - Graphical user interface for accessing water-quality data for the Devils Lake basin, North Dakota","interactions":[],"lastModifiedDate":"2018-03-21T14:18:24","indexId":"ofr20051419","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","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":"2005-1419","title":"Graphical user interface for accessing water-quality data for the Devils Lake basin, North Dakota","docAbstract":"

Maintaining the quality of surface waters in the Devils Lake Basin in North Dakota is important for protecting the agricultural resources, fisheries, waterfowl and wildlife habitat, and recreational value of the basin. The U.S. Geological Survey, in cooperation with local, State, and Federal agencies, has collected and analyzed water-quality samples from streams and lakes in the basin since 1957, and the North Dakota Department of Health has collected and analyzed water-quality samples from lakes in the basin since 2001. Because water-quality data for the basin are important for numerous reasons, a graphical user interface was developed to access, view, and download the historical data for the basin. The interface is a web-based application that is available to the public and includes data through water year 2003. The interface will be updated periodically to include data for subsequent years.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20051419","usgsCitation":"Ryberg, K.R., Damschen, W., and Vecchia, A.V., 2005, Graphical user interface for accessing water-quality data for the Devils Lake basin, North Dakota: U.S. Geological Survey Open-File Report 2005-1419, iii, 15 p., https://doi.org/10.3133/ofr20051419.","productDescription":"iii, 15 p.","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":193024,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7231,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1419/","linkFileType":{"id":5,"text":"html"}},{"id":352704,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2005/1419/pdf/ofr20051419.pdf"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.83333333333333,48.333333333333336 ], [ -99.83333333333333,49.5 ], [ -98.33333333333333,49.5 ], [ -98.33333333333333,48.333333333333336 ], [ -99.83333333333333,48.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672397","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Damschen, William C. wcdamsch@usgs.gov","contributorId":1610,"corporation":false,"usgs":true,"family":"Damschen","given":"William C.","email":"wcdamsch@usgs.gov","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":286046,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":72757,"text":"ofr20051412 - 2005 - Input data used to generate one-dimensional burial history models, central Alberta, Canada","interactions":[],"lastModifiedDate":"2018-01-08T13:19:02","indexId":"ofr20051412","displayToPublicDate":"2005-12-04T00:00:00","publicationYear":"2005","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":"2005-1412","title":"Input data used to generate one-dimensional burial history models, central Alberta, Canada","language":"ENGLISH","doi":"10.3133/ofr20051412","usgsCitation":"Roberts, L.N., Higley, D.K., and Henry, M.E., 2005, Input data used to generate one-dimensional burial history models, central Alberta, Canada (Online only, Version 1.0): U.S. Geological Survey Open-File Report 2005-1412, 14 p. : ill., 2 plates, https://doi.org/10.3133/ofr20051412.","productDescription":"14 p. : ill., 2 plates","onlineOnly":"Y","costCenters":[],"links":[{"id":193022,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7229,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1412/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only, Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d99e","contributors":{"authors":[{"text":"Roberts, Laura N.R.","contributorId":79530,"corporation":false,"usgs":true,"family":"Roberts","given":"Laura","email":"","middleInitial":"N.R.","affiliations":[],"preferred":false,"id":286036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":286034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Mitchell E.","contributorId":57447,"corporation":false,"usgs":true,"family":"Henry","given":"Mitchell","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":286035,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70259129,"text":"70259129 - 2005 - Evaluating MODIS data to estimate irrigated crop production in Afghanistan using a thermal-based ET fraction approach","interactions":[],"lastModifiedDate":"2024-09-27T16:35:10.848076","indexId":"70259129","displayToPublicDate":"2005-12-01T11:26:23","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluating MODIS data to estimate irrigated crop production in Afghanistan using a thermal-based ET fraction approach","docAbstract":"

Accurate crop performance monitoring and production estimation is critical for timely assessment of the food balance of several countries in the world. Recently, the Famine Early Warning System Network (FEWS NET) has been monitoring crop performance and to some extent relative production using satellite derived data and simulation models in Africa, Central America and Afghanistan where ground based monitoring is limited due to the scarcity of weather stations. The commonly used crop monitoring models use a crop water balance algorithm with inputs from satellite-derived rainfall. While these models provide useful monitoring for rain-fed agriculture, they are ineffective for irrigated areas. Over 80% of the agricultural production in Afghanistan is from irrigated agriculture. In this study, we implemented a thermal-based ET fraction approach to monitor and assess the performance of irrigated agriculture in Afghanistan using the combination of 250-m NDVI and 1-km Land Surface Temperature (LST) data from MODIS. Six images per year were used to estimate seasonal evapotranspiration (ET) from irrigated lands in a given growing season between 2000 and 2004. Seasonal ET estimates from the different years were used as relative indicators of year-to-year production magnitude differences. The results were comparable to field reports and crop water balance based estimates for irrigated watersheds in that 2003 was a good year for crop production in Afghanistan. The advantage of this method over crop water balance method is that it helps identify irrigated areas directly and thus helps estimate total irrigated area and its spatial distribution in a given region.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Global priorities in land remote sensing","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"William T. Pecora Memorial Symposium on Remote Sensing, 16th","conferenceDate":"October 23-27, 2005","conferenceLocation":"Sioux Falls, SD","language":"English","publisher":"ASPRS","usgsCitation":"Senay, G.B., Budde, M., Rowland, J., and Verdin, J.P., 2005, Evaluating MODIS data to estimate irrigated crop production in Afghanistan using a thermal-based ET fraction approach, in Global priorities in land remote sensing, Sioux Falls, SD, October 23-27, 2005, 11 p.","productDescription":"11 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462347,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/Conference-Proceedings.html","linkFileType":{"id":5,"text":"html"}},{"id":462348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":914269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budde, Michael 0000-0002-9098-2751 mbudde@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":166756,"corporation":false,"usgs":true,"family":"Budde","given":"Michael","email":"mbudde@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":914270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, J.","contributorId":18539,"corporation":false,"usgs":true,"family":"Rowland","given":"J.","email":"","affiliations":[],"preferred":false,"id":914271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":914272,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70259528,"text":"70259528 - 2005 - Analysis of multi-temporal geospatial data sets to assess the landscape effects of surface mining","interactions":[],"lastModifiedDate":"2024-10-10T16:40:09.669805","indexId":"70259528","displayToPublicDate":"2005-12-01T11:23:51","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Analysis of multi-temporal geospatial data sets to assess the landscape effects of surface mining","docAbstract":"

Geospatial data sets, especially digital elevation data, have proven useful for characterizing and analyzing land surface conditions. Digital elevation models are routinely used for describing the morphology of the land surface in terms of slope gradient and aspect. Additionally, the elevation data are useful for deriving parameters that describe the local drainage conditions such as watersheds and stream channels. When the element of time is added to the analysis through the use of multi-temporal topographic data, the effects of changes to the physical shape of the land surface may be studied. Such is the case with analysis of historical (pre-mining) and recent (post-mining) topographic and other geospatial data sets, including land cover maps derived from remote sensing. Nationwide geospatial data sets now exist with the required spatial and temporal resolution that allow for assessment of the effects of surface mining operations. Changes to the local landscape morphology are readily identified, and the effects to the surface drainage features are quantifiable, such as changes to local relief and drainage pattern and the total length of affected streams. Additionally, the visual impact of the movement of rock and soil materials may be assessed through viewshed analysis. Examples in both Appalachian and Western coalfields show the usefulness of analyzing detailed historical and recent geospatial data sets to better map and describe the effects of surface mining.

","conferenceTitle":"Annual National Conference, 22nd","conferenceDate":"June 19-23, 2005","conferenceLocation":"Breckenridge, CO","language":"English","publisher":"American Society of Mining and Reclamation","usgsCitation":"Gesch, D.B., 2005, Analysis of multi-temporal geospatial data sets to assess the landscape effects of surface mining, Annual National Conference, 22nd, Breckenridge, CO, June 19-23, 2005, p. 415-432.","productDescription":"18 p.","startPage":"415","endPage":"432","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462793,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asrs.us/past-asrs-meetings/2005-brekenridge-co-member/","linkFileType":{"id":5,"text":"html"}},{"id":462794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky","county":"Perry County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.51228609749789,\n 37.433869813899946\n ],\n [\n -83.51228609749789,\n 37.226507045303904\n ],\n [\n -83.15978645381992,\n 37.226507045303904\n ],\n [\n -83.15978645381992,\n 37.433869813899946\n ],\n [\n -83.51228609749789,\n 37.433869813899946\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":915622,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70259127,"text":"70259127 - 2005 - Landsat 7 scan line corrector-off gap-filled product development","interactions":[],"lastModifiedDate":"2024-09-27T16:23:06.366893","indexId":"70259127","displayToPublicDate":"2005-12-01T11:16:42","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat 7 scan line corrector-off gap-filled product development","docAbstract":"

The Landsat 7 Enhanced Thematic Mapper Plus (ETM+) scan line corrector (SLC) failed on May 31, 2003, causing the scanning pattern to exhibit wedge-shaped scan-to-scan gaps. The ETM+ has continued to acquire data with the SLC powered off, leading to images that are missing approximately 22 percent of the normal scene area. To improve the utility of the SLC-off data, the U.S. Geological Survey (USGS) developed new products that use the data from multiple ETM+ scenes to provide complete ground coverage. These gap-filled products were developed and deployed in two phases. The gaps in the Phase I products are filled with data from imagery collected previously with a functional SLC (SLC-on). A single SLC-on scene provides complete coverage of the scan gaps, making the gap-filling procedure straightforward. Several radiometric adjustment techniques for matching the SLC-on fill scene to the SLC-off primary scene were evaluated for performance, processing speed, and ease of implementation. A simple local histogram matching method was adopted as a result of this evaluation. The Phase II products use data from multiple SLC-off scenes to fill the scan gaps with more recent data. Because the locations of the scan gaps are different for each SLC-off scene, the gap-filling process must account for scan gap interactions. The Phase II product development included a more comprehensive study of candidate radiometric adjustment techniques. This study showed that the histogram matching method used in Phase I, with minor refinements, provided the best overall performance and was adopted for Phase II as well.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Global priorities in land remote sensing","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"William T. Pecora Memorial Symposium on Remote Sensing, 16th","conferenceDate":"October 23-27, 2005","conferenceLocation":"Sioux Falls, SD","language":"English","publisher":"ASPRS","usgsCitation":"Storey, J.C., Scaramuzza, P., Schmidt, G.L., and Barsi, J., 2005, Landsat 7 scan line corrector-off gap-filled product development, in Global priorities in land remote sensing, Sioux Falls, SD, October 23-27, 2005, 13 p.","productDescription":"13 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462345,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/Conference-Proceedings.html","linkFileType":{"id":5,"text":"html"}},{"id":462346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Storey, James C. 0000-0002-6664-7232 storey@usgs.gov","orcid":"https://orcid.org/0000-0002-6664-7232","contributorId":5333,"corporation":false,"usgs":true,"family":"Storey","given":"James","email":"storey@usgs.gov","middleInitial":"C.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":914265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scaramuzza, Pasquale 0000-0002-2616-8456","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":344596,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"Pasquale","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":914266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Gail L. 0000-0002-9684-8158 gschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-9684-8158","contributorId":3475,"corporation":false,"usgs":true,"family":"Schmidt","given":"Gail","email":"gschmidt@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":914267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barsi, Julia","contributorId":251781,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":914268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70253055,"text":"pp1688B - 2005 - Petrography, structure, age, and thermal history of granitic coastal plain basement in the Chesapeake Bay impact structure, USGS-NASA Langley core, Hampton, Virginia","interactions":[{"subject":{"id":70253055,"text":"pp1688B - 2005 - Petrography, structure, age, and thermal history of granitic coastal plain basement in the Chesapeake Bay impact structure, USGS-NASA Langley core, Hampton, Virginia","indexId":"pp1688B","publicationYear":"2005","noYear":false,"chapter":"B","title":"Petrography, structure, age, and thermal history of granitic coastal plain basement in the Chesapeake Bay impact structure, USGS-NASA Langley core, Hampton, Virginia"},"predicate":"IS_PART_OF","object":{"id":69857,"text":"pp1688 - 2005 - Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys","indexId":"pp1688","publicationYear":"2005","noYear":false,"title":"Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys"},"id":1}],"isPartOf":{"id":69857,"text":"pp1688 - 2005 - Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys","indexId":"pp1688","publicationYear":"2005","noYear":false,"title":"Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys"},"lastModifiedDate":"2024-04-17T16:13:00.895736","indexId":"pp1688B","displayToPublicDate":"2005-12-01T11:07:33","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1688","chapter":"B","title":"Petrography, structure, age, and thermal history of granitic coastal plain basement in the Chesapeake Bay impact structure, USGS-NASA Langley core, Hampton, Virginia","docAbstract":"

The USGS-NASA Langley corehole at Hampton, Va., was drilled in 2000 and was the first corehole to reach coastal plain basement in the late Eocene Chesapeake Bay impact structure. The Langley core provided samples of granite that had been concealed by 626.3 meters (2,054.7 feet) of preimpact, synimpact, and postimpact sediments. The granite, here named the Langley Granite, is pale red, medium grained, massive, and homogeneous in composition and fabric. It has a peraluminous composition (alumina saturation index 1.1) and a seriate-inequigranular, hypidiomorphic, isotropic fabric. A pervasive secondary mineral assemblage of chlorite + albite + clinozoisite is consistent with either deuteric alteration or lower greenschist-facies metamorphism. Chlorite, the principal mafic mineral, occurs as tabular masses that suggest pseudomorphous replacement of biotite. The top of the granite is weathered but not saprolitized and is nonconformably overlain by Lower Cretaceous clastic sediments. A SHRIMP 206Pb/238U weighted average zircon age of 612±10 Ma (2σ) indicates Neoproterozoic crystallization of the Langley Granite. The 40Ar/39Ar ages of microcline and plagioclase are consistent with regional cooling and uplift after the late Paleozoic Alleghanian orogeny. Zircon and apatite fission-track cooling ages of 375±44 Ma and 184±32 Ma (2σ), respectively, indicate no discernible impact-related thermal disturbance at the Langley corehole location in the annular trough of the structure about 19 kilometers (12 miles) outside the margin of the central crater. Modeling the apatite fission-track data places upper limits on the impact-related heating at this location. For an impact-related thermal disturbance equivalent to a modeled thermal spike having a duration of 1 to 0.1 million years, temperatures in this part of the impact structure could not have been higher than about 100°C-120°C. Most fractures, faults, and veins in the Langley Granite contain lower greenschist-facies minerals and are inferred to predate the impact. No shock-metamorphosed minerals or other features clearly attributable to the impact were found in the granite. Studies of the granite provide a glimpse into the nature of crystalline terranes beneath the Atlantic Coastal Plain and Chesapeake Bay and provide limits on the geographic extent of impact-generated shock and thermal effects.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys (Professional Paper 1688)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1688B","usgsCitation":"Horton,, J., Powars, D.S., and Gohn, G., 2005, Petrography, structure, age, and thermal history of granitic coastal plain basement in the Chesapeake Bay impact structure, USGS-NASA Langley core, Hampton, Virginia: U.S. Geological Survey Professional Paper 1688, iv, 29 p., https://doi.org/10.3133/pp1688B.","productDescription":"iv, 29 p.","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":427848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.63787841796875,\n 36.9806150652861\n ],\n [\n -76.26708984375,\n 36.9806150652861\n ],\n [\n -76.26708984375,\n 37.293720520228696\n ],\n [\n -76.63787841796875,\n 37.293720520228696\n ],\n [\n -76.63787841796875,\n 36.9806150652861\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":899036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":899037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gohn, Gregory 0000-0003-2000-479X ggohn@usgs.gov","orcid":"https://orcid.org/0000-0003-2000-479X","contributorId":219822,"corporation":false,"usgs":true,"family":"Gohn","given":"Gregory","email":"ggohn@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":899038,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70253054,"text":"pp1688A - 2005 - Studies of the Chesapeake Bay impact structure - Introduction and discussion","interactions":[{"subject":{"id":70253054,"text":"pp1688A - 2005 - Studies of the Chesapeake Bay impact structure - Introduction and discussion","indexId":"pp1688A","publicationYear":"2005","noYear":false,"chapter":"A","title":"Studies of the Chesapeake Bay impact structure - Introduction and discussion"},"predicate":"IS_PART_OF","object":{"id":69857,"text":"pp1688 - 2005 - Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys","indexId":"pp1688","publicationYear":"2005","noYear":false,"title":"Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys"},"id":1}],"isPartOf":{"id":69857,"text":"pp1688 - 2005 - Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys","indexId":"pp1688","publicationYear":"2005","noYear":false,"title":"Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys"},"lastModifiedDate":"2024-04-17T16:05:24.680947","indexId":"pp1688A","displayToPublicDate":"2005-12-01T11:00:52","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1688","chapter":"A","title":"Studies of the Chesapeake Bay impact structure - Introduction and discussion","docAbstract":"

The late Eocene Chesapeake Bay impact structure on the Atlantic margin of Virginia is the largest known impact crater in the United States, and it may be the Earth's best preserved example of a large impact crater that formed on a predominantly siliciclastic continental shelf. The 85-kilometer-wide (53-milewide) crater also coincides with a region of saline ground water. It has a profound influence on ground-water quality and flow in an area of urban growth. The USGS-NASA Langley corehole at Hampton, Va., is the first in a series of new coreholes being drilled in the crater, and it is the first corehole to penetrate the entire crater-fill section and uppermost crystalline basement rock. The Langley corehole is located in the southwestern part of the crater's annular trough. A comprehensive effort to understand the crater's materials, architecture, geologic history, and formative processes, as well as its influence on ground water, includes the drilling of coreholes accompanied by high-resolution seismic-reflection and seismic-refraction surveys, audio-magnetotelluric surveys, and related multidisciplinary research. The studies of the core presented in this volume provide detailed information on the outer part of the crater, including the crystalline basement, the overlying impact-modified and impact-generated sediments (physical geology, paleontology, shocked minerals, and crystalline ejecta), and the upper Eocene to Quaternary postimpact sedimentary section (stratigraphy, paleontology, and paleoenvironments). The USGS-NASA Langley corehole has a total depth below land surface of 635.1 meters (m; 2,083.8 feet (ft)). The deepest unit in the corehole is the Neoproterozoic Langley Granite. The top of this granite at 626.3 m (2,054.7 ft) depth is overlain by 390.6 m (1,281.6 ft) of impact-modified and impact-generated siliciclastic sediments. These crater-fill materials are preserved beneath a 235.6-m-thick (773.12-ft-thick) blanket of postimpact sediments. A high-resolution seismic-reflection and seismic-refraction profile that crosses the Langley drill site is tied to the core by borehole geophysical logs, and it reveals the details of extensional collapse structures in the western annular trough. Electrical cross sections based on audio-magnetotelluric (AMT) soundings image a nearly vertical zone of high resistivity at the outer margin of the annular trough, possibly indicating fresh ground water at that location, and they show impedance trends that match the curvature of the structure. They also image the subsurface contact between conductive sediments and resistive crystalline basement, showing that the depth to crystalline basement is relatively constant in the western part of the annular trough. Chemical and isotopic data indicate that saline ground water of the Virginia inland saltwater wedge or bulge is a mixture of freshwater and seawater, and evidence for a mixing zone at the crater's outer margin supports the concept of differential flushing of residual seawater to create the bulge. Ground-water brine in the central part of the crater was produced by evaporation, and brine production from the heat of the impact is at least theoretically possible.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies of the Chesapeake Bay impact structure: The USGS-NASA Langley corehole, Hampton, Virginia, and related coreholes and geophysical surveys (Professional Paper 1688)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1688A","usgsCitation":"Horton,, J., Powars, D.S., and Gohn, G., 2005, Studies of the Chesapeake Bay impact structure - Introduction and discussion: U.S. Geological Survey Professional Paper 1688, iv, 24 p., https://doi.org/10.3133/pp1688A.","productDescription":"iv, 24 p.","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":427847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":427846,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/2005/1688/ak/PP1688_chapA.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.63787841796875,\n 36.9806150652861\n ],\n [\n -76.26708984375,\n 36.9806150652861\n ],\n [\n -76.26708984375,\n 37.293720520228696\n ],\n [\n -76.63787841796875,\n 37.293720520228696\n ],\n [\n -76.63787841796875,\n 36.9806150652861\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":899033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":899034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gohn, Gregory 0000-0003-2000-479X ggohn@usgs.gov","orcid":"https://orcid.org/0000-0003-2000-479X","contributorId":219822,"corporation":false,"usgs":true,"family":"Gohn","given":"Gregory","email":"ggohn@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":899035,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":72750,"text":"sir20045100 - 2005 - Uncertainty in the Great Lakes water balance","interactions":[],"lastModifiedDate":"2017-01-20T13:04:41","indexId":"sir20045100","displayToPublicDate":"2005-11-28T00:00:00","publicationYear":"2005","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":"2004-5100","title":"Uncertainty in the Great Lakes water balance","docAbstract":"

This report describes the Great Lakes hydrologic system and methods used to quantify individual components of the water balance. Potential sources of uncertainty are identified and, where appropriate, alternate or additional data, models, and estimation methods suitable for reducing uncertainties are discussed. Finally, approximate uncertainties of all components are identified, compared, and assessed within the context of net basin supply. Results indicate that average uncertainties in monthly estimates of individual water-balance components may range from 1.5 percent to 45 percent. These uncertainties may cause uncertainties in monthly net basin supply estimates of approximately 2,600 ft3/s to 33,500 ft3/s for individual Great Lakes.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20045100","collaboration":"Prepared in cooperation with the Great Lakes Commission","usgsCitation":"Neff, B., and Nicholas, J., 2005, Uncertainty in the Great Lakes water balance: U.S. Geological Survey Scientific Investigations Report 2004-5100, vi, 42 p., https://doi.org/10.3133/sir20045100.","productDescription":"vi, 42 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":192540,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20045100.JPG"},{"id":7223,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2004/5100/","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Great Lake Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.794921875, 44.98034238084973 ], [ -75.0146484375, 44.41808794374846 ], [ -74.55322265625, 44.32384807250689 ], [ -74.42138671875, 44.040218713142146 ], [ -73.54248046875, 43.78695837311561 ], [ -73.2568359375, 43.30919109985686 ], [ -73.98193359375, 42.79540065303723 ], [ -74.81689453125, 42.58544425738491 ], [ -75.5419921875, 42.22851735620852 ], [ -76.79443359375, 42.049292638686836 ], [ -77.36572265625, 42.049292638686836 ], [ -78.02490234375, 42.032974332441405 ], [ -79.1015625, 42.032974332441405 ], [ -79.43115234375, 42.13082130188811 ], [ -79.78271484375, 42.032974332441405 ], [ -79.98046875, 41.85319643776675 ], [ -80.33203125, 41.52502957323801 ], [ -81.45263671875, 41.09591205639546 ], [ -82.001953125, 40.88029480552824 ], [ -82.6611328125, 40.763901280945866 ], [ -83.29833984375, 40.713955826286046 ], [ -83.95751953125, 40.713955826286046 ], [ -84.57275390625, 40.697299008636755 ], [ -85.10009765625, 40.78054143186033 ], [ -85.60546875, 40.94671366508002 ], [ -85.67138671875, 41.22824901518529 ], [ -85.45166015624999, 41.409775832009565 ], [ -86.0888671875, 41.50857729743935 ], [ -86.19873046875, 41.72213058512578 ], [ -86.50634765625, 41.80407814427234 ], [ -87.099609375, 41.49212083968776 ], [ -87.4072265625, 41.44272637767212 ], [ -87.9345703125, 41.83682786072714 ], [ -87.91259765625, 42.147114459220994 ], [ -87.9345703125, 42.439674178149424 ], [ -88.0224609375, 42.76314586689492 ], [ -88.11035156249999, 43.03677585761058 ], [ -88.22021484375, 43.34116005412307 ], [ -88.4619140625, 43.6599240747891 ], [ -88.61572265625, 43.691707903073805 ], [ -89.01123046875, 43.58039085560784 ], [ -89.53857421875, 43.54854811091286 ], [ -89.80224609374999, 43.56447158721811 ], [ -89.80224609374999, 43.8028187190472 ], [ -89.736328125, 44.05601169578525 ], [ -89.67041015625, 44.41808794374846 ], [ -89.47265625, 44.793530904744074 ], [ -89.296875, 45.02695045318546 ], [ -89.05517578125, 45.182036837015886 ], [ -89.033203125, 45.27488643704891 ], [ -89.01123046875, 45.506346901083425 ], [ -89.07714843749999, 46.08847179577592 ], [ -89.69238281249999, 46.14939437647686 ], [ -90.17578124999999, 46.14939437647686 ], [ -90.54931640625, 46.14939437647686 ], [ -91.03271484375, 46.118941506107056 ], [ -91.4501953125, 46.118941506107056 ], [ -91.62597656249999, 46.195042108660154 ], [ -91.97753906249999, 46.17983040759436 ], [ -92.30712890625, 46.22545288226939 ], [ -92.59277343749999, 46.34692761055676 ], [ -92.6806640625, 46.45299704748289 ], [ -92.65869140625, 46.63435070293566 ], [ -93.31787109374999, 46.86019101567027 ], [ -93.36181640625, 47.040182144806664 ], [ -93.40576171875, 47.27922900257082 ], [ -93.22998046875, 47.44294999517949 ], [ -92.87841796875, 47.54687159892238 ], [ -92.57080078125, 47.60616304386874 ], [ -92.43896484375, 47.78363463526376 ], [ -92.08740234375, 47.754097979680026 ], [ -91.86767578124999, 47.62097541515849 ], [ -91.4501953125, 47.53203824675999 ], [ -91.25244140624999, 47.5913464767971 ], [ -91.0546875, 47.66538735632654 ], [ -91.01074218749999, 47.88688085106901 ], [ -90.81298828125, 48.03401915864286 ], [ -90.59326171875, 48.1367666796927 ], [ -90.3515625, 48.268569112964336 ], [ -90.04394531249999, 48.3416461723746 ], [ -90.17578124999999, 48.4146186174932 ], [ -90.5712890625, 48.50204750525715 ], [ -90.28564453124999, 48.60385760823255 ], [ -89.8681640625, 48.58932584966975 ], [ -90.04394531249999, 48.80686346108517 ], [ -90.19775390625, 49.196064000723794 ], [ -90.3955078125, 49.468124067331644 ], [ -90.52734374999999, 49.937079756975294 ], [ -90.4833984375, 50.21909462044748 ], [ -89.912109375, 50.54136296522161 ], [ -89.6044921875, 50.77815527465925 ], [ -89.12109375, 50.83369767098071 ], [ -88.08837890625, 50.83369767098071 ], [ -87.4072265625, 50.819818262156545 ], [ -87.275390625, 50.69471783819287 ], [ -87.60498046875, 50.597186230587035 ], [ -87.25341796875, 50.42951794712287 ], [ -87.01171875, 50.064191736659104 ], [ -86.8359375, 49.82380908513249 ], [ -86.72607421875, 49.66762782262194 ], [ -86.2646484375, 49.69606181911566 ], [ -85.4296875, 49.53946900793534 ], [ -84.88037109375, 49.38237278700955 ], [ -84.638671875, 49.210420445650286 ], [ -83.8916015625, 48.748945343432936 ], [ -83.51806640624999, 48.50204750525715 ], [ -83.25439453125, 48.25394114463431 ], [ -83.07861328125, 48.03401915864286 ], [ -82.265625, 47.78363463526376 ], [ -81.80419921875, 47.66538735632654 ], [ -81.45263671875, 47.5913464767971 ], [ -81.27685546875, 47.85740289465826 ], [ -81.0791015625, 48.19538740833338 ], [ -80.85937499999999, 48.44377831058802 ], [ -80.61767578124999, 48.61838518688487 ], [ -79.98046875, 48.821332549646634 ], [ -79.453125, 48.821332549646634 ], [ -79.21142578125, 48.56024979174329 ], [ -79.21142578125, 48.22467264956519 ], [ -79.2333984375, 48.019324184801185 ], [ -79.1455078125, 47.57652571374621 ], [ -79.1455078125, 47.204642388766935 ], [ -79.1015625, 46.99524110694593 ], [ -78.90380859375, 46.66451741754235 ], [ -78.7060546875, 46.42271253466717 ], [ -78.486328125, 46.58906908309182 ], [ -78.3984375, 46.84516443029276 ], [ -78.06884765624999, 46.99524110694593 ], [ -77.36572265625, 46.89023157359399 ], [ -76.640625, 46.7549166192819 ], [ -76.2890625, 46.604167162931844 ], [ -75.9814453125, 46.17983040759436 ], [ -75.52001953125, 45.96642454131025 ], [ -75.03662109375, 46.07323062540835 ], [ -74.37744140625, 46.164614496897094 ], [ -73.95996093749999, 46.118941506107056 ], [ -73.7841796875, 46.042735653846506 ], [ -73.564453125, 45.89000815866184 ], [ -73.5205078125, 45.62940492064501 ], [ -73.7841796875, 45.38301927899065 ], [ -74.2236328125, 45.27488643704891 ], [ -74.794921875, 44.98034238084973 ] ] ] } } ] }\n","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f7fa","contributors":{"authors":[{"text":"Neff, Brian P.","contributorId":27548,"corporation":false,"usgs":true,"family":"Neff","given":"Brian P.","affiliations":[],"preferred":false,"id":286017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicholas, J.R.","contributorId":26673,"corporation":false,"usgs":true,"family":"Nicholas","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":286016,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":72728,"text":"ofr20051239 - 2005 - Magnetotelluric data, northern Yucca Flat, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:13:58","indexId":"ofr20051239","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","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":"2005-1239","title":"Magnetotelluric data, northern Yucca Flat, Nevada Test Site, Nevada","language":"ENGLISH","doi":"10.3133/ofr20051239","usgsCitation":"Williams, J.M., Rodriguez, B.D., and Asch, T., 2005, Magnetotelluric data, northern Yucca Flat, Nevada Test Site, Nevada (Online only, Version 1.0): U.S. Geological Survey Open-File Report 2005-1239, 121 p., https://doi.org/10.3133/ofr20051239.","productDescription":"121 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":192722,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7165,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1239/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only, Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649477","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":285959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":285958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":285960,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":72726,"text":"ofr20051242 - 2005 - Magnetotelluric data, across Quartzite Ridge, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:13:58","indexId":"ofr20051242","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","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":"2005-1242","title":"Magnetotelluric data, across Quartzite Ridge, Nevada Test Site, Nevada","language":"ENGLISH","doi":"10.3133/ofr20051242","usgsCitation":"Williams, J.M., Rodriguez, B.D., and Asch, T., 2005, Magnetotelluric data, across Quartzite Ridge, Nevada Test Site, Nevada (Online only, Version 1.0): U.S. Geological Survey Open-File Report 2005-1242, 175 p., https://doi.org/10.3133/ofr20051242.","productDescription":"175 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":193200,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7163,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1242/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only, Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db64946e","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":285953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":285952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":285954,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":72725,"text":"ofr20051243 - 2005 - Magnetotelluric data, north central Yucca Flat, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:13:58","indexId":"ofr20051243","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","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":"2005-1243","title":"Magnetotelluric data, north central Yucca Flat, Nevada Test Site, Nevada","language":"ENGLISH","doi":"10.3133/ofr20051243","usgsCitation":"Williams, J.M., Rodriguez, B.D., and Asch, T., 2005, Magnetotelluric data, north central Yucca Flat, Nevada Test Site, Nevada (Online only, Version 1.0): U.S. Geological Survey Open-File Report 2005-1243, 157 p., https://doi.org/10.3133/ofr20051243.","productDescription":"157 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":193199,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7162,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1243/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only, Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649473","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":285950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":285949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":285951,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":72741,"text":"sir20055225 - 2005 - Volatile organic compound matrix spike recoveries for ground- and surface-water samples, 1997-2001","interactions":[],"lastModifiedDate":"2012-02-02T00:13:58","indexId":"sir20055225","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","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":"2005-5225","title":"Volatile organic compound matrix spike recoveries for ground- and surface-water samples, 1997-2001","docAbstract":"The U.S. Geological Survey's National Water-Quality Assessment (NAWQA) Program used field matrix spikes (FMSs), field matrix spike replicates (FMSRs), laboratory matrix spikes (LMSs), and laboratory reagent spikes (LRSs), in part, to assess the quality of volatile organic compound (VOC) data from water samples collected and analyzed in more than 50 of the Nation's largest river basins and aquifers (Study Units). The data-quality objectives of the NAWQA Program include estimating the extent to which variability, degradation, and matrix effects, if any, may affect the interpretation of chemical analyses of ground- and surface-water samples. In order to help meet these objectives, a known mass of VOCs was added (spiked) to water samples collected in 25 Study Units. Data within this report include recoveries from 276 ground- and surface-water samples spiked with a 25-microliter syringe with a spike solution containing 85 VOCs to achieve a concentration of 0.5 microgram per liter. Combined recoveries for 85 VOCs from spiked ground- and surface-water samples and reagent water were used to broadly characterize the overall recovery of VOCs. Median recoveries for 149 FMSs, 107 FMSRs, 20 LMSs, and 152 LRSs were 79.9, 83.3, 113.1, and 103.5 percent, respectively.\r\n\r\nSpike recoveries for 85 VOCs also were calculated individually. With the exception of a few VOCs, the median percent recoveries determined from each spike type for individual VOCs followed the same pattern as for all VOC recoveries combined, that is, listed from least to greatest recovery-FMSs, FMSRs, LRSs, and LMSs. The median recoveries for individual VOCs ranged from 63.7 percent to 101.5 percent in FMSs; 63.1 percent to 101.4 percent in FMSRs; 101.7 percent to 135.0 percent in LMSs; and 91.0 percent to 118.7 percent in LRSs.\r\n\r\nAdditionally, individual VOC recoveries were compared among paired spike types, and these recoveries were used to evaluate potential bias in the method. Variability associated with field spiking, field handling, transport, and analysis was assessed by comparing recoveries between 107 pairs of FMR and FMSR samples. For most VOCs, FMSR recoveries were greater than the paired FMS recoveries. This may result from routinely processing the FMS sample first, allowing a more fluid and efficient technique when processing the FMSR. Degradation was examined by comparing VOC recoveries between 20 pairs of FMS and LMS samples. For all VOCs, the LMS recoveries were greater than FMS recoveries. However, data presented in a previously published VOC stability study were interpreted, and recoveries indicated that VOC degradation should not affect the recovery for most VOCs monitored by the NAWQA Program. Matrix effects were examined by comparing VOC recoveries from 20 pairs of LMS and LRS samples. With the exception of two VOCs, individual recoveries were not significantly different between LMSs and LRSs, indicating that most VOC recoveries are not affected by matrix effects. Additionally, matrix effects should be negligible due to the analytical technique (purge and trap capillary column gas chromatography/mass spectrometry) used for VOC analysis at the U.S. Geological Survey National Water Quality Laboratory (NWQL).\r\n\r\nThe reason for the lower VOC recoveries from FMSs and FMSRs than from LMSs and LRSs may be associated with differences in spiking technique and experience, and to varying environmental conditions at the time of spiking. However, for all spike types, 87 percent of the individual VOC recoveries were within the range of 60 to 140 percent, a range that is considered acceptable by the U.S. Environmental Protection Agency's established analytical method. Additionally, the median recovery for each spike type was within the range of 60 to 140 percent. The excellent VOC recoveries from LMSs and LRSs demonstrate that low VOC concentrations can routinely and accurately be measured by the analytical methods used by the NWQL.","language":"ENGLISH","doi":"10.3133/sir20055225","usgsCitation":"Rowe, B.L., Delzer, G.C., Bender, D.A., and Zogorski, J.S., 2005, Volatile organic compound matrix spike recoveries for ground- and surface-water samples, 1997-2001: U.S. Geological Survey Scientific Investigations Report 2005-5225, 64 p., https://doi.org/10.3133/sir20055225.","productDescription":"64 p.","costCenters":[],"links":[{"id":191622,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7218,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5225/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdaf1","contributors":{"authors":[{"text":"Rowe, Barbara L. blrowe@usgs.gov","contributorId":2673,"corporation":false,"usgs":true,"family":"Rowe","given":"Barbara","email":"blrowe@usgs.gov","middleInitial":"L.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Delzer, Gregory C. 0000-0002-7077-4963 gcdelzer@usgs.gov","orcid":"https://orcid.org/0000-0002-7077-4963","contributorId":986,"corporation":false,"usgs":true,"family":"Delzer","given":"Gregory","email":"gcdelzer@usgs.gov","middleInitial":"C.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":285999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bender, David A. 0000-0002-1269-0948 dabender@usgs.gov","orcid":"https://orcid.org/0000-0002-1269-0948","contributorId":985,"corporation":false,"usgs":true,"family":"Bender","given":"David","email":"dabender@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":285998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zogorski, John S. jszogors@usgs.gov","contributorId":189,"corporation":false,"usgs":true,"family":"Zogorski","given":"John","email":"jszogors@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":285997,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":72737,"text":"ds142 - 2005 - Streamflow, water-quality, and biological data for three tributaries to Lake Houston near Houston, Texas, 2002-04","interactions":[],"lastModifiedDate":"2017-05-31T17:11:33","indexId":"ds142","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","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":"142","title":"Streamflow, water-quality, and biological data for three tributaries to Lake Houston near Houston, Texas, 2002-04","docAbstract":"During 2002-04 the U.S. Geological Survey, in cooperation with the Houston-Galveston Area Council and the Texas Commission on Environmental Quality, conducted a systematic monitoring study on Lake Creek, Peach Creek, and Caney Creek near Houston, Texas, to assess the current water-quality and biological conditions in the three tributaries to Lake Houston. Streamflow and water-quality data (chloride and sulfate, nutrients, biochemical oxygen demand, phytoplankton, indicator bacteria, pesticides, and suspended sediment) were collected at 11 sites, and fish and benthic-macroinvertebrate data were collected at eight of the 11 sites. Graphical comparisons of concentration data for eight water-quality constituents by watershed indicate relatively large differences in concentration distribution among all three watersheds for nitrite plus nitrate nitrogen (medians: Lake, 0.20; Peach, 0.14; and Caney, 0.32 mg/L). Graphical comparisons of these data by season show consistency in distribution of constituent concentrations. The distributions of chlorophyll-a in summer and E. coli bacteria in winter each contain a few relatively large concentrations. Fifty-six species of fish from 15 major families were collected during the study. For all sites except one on Lake Creek, the majority of fish collected were sunfish; minnows dominated at the one Lake Creek site. Invertivores (mostly sunfish and minnows) made up more than 65 percent of the trophic structure, omnivores were the next largest percentage, and piscivores the smallest percentage. Ecoregion-specific index of biotic integrity (ECO-IBI) scores (averages of samples) for three of four upstream Lake Creek sites indicate intermediate aquatic life use, and the most downstream site, high aquatic life use. ECO-IBI scores for the Peach Creek and Caney Creek sites indicate high aquatic life use. The maximum number of aquatic-insect taxa (51) were collected at a site on Peach Creek near Cleveland, and the minimum number of aquatic-insect taxa (17) were collected at site on Caney Creek near New Caney. The benthic-macroinvertebrate index of biotic integrity (B-IBI) scores (averages of samples) for the three upstream Lake Creek sites indicate intermediate aquatic life use, and the B-IBI score for the most downstream site indicates high aquatic life use. B-IBI scores for the Peach Creek sites, in downstream order, are exceptional and high; and scores for the Caney Creek sites, in downstream order, are high and intermediate.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds142","collaboration":"Prepared in cooperation with the Houston-Galveston Area Council and the Texas Commission on Environmental Quality","usgsCitation":"East, J., and Sneck-Fahrer, D.A., 2005, Streamflow, water-quality, and biological data for three tributaries to Lake Houston near Houston, Texas, 2002-04: U.S. Geological Survey Data Series 142, iv, 82 p., https://doi.org/10.3133/ds142.","productDescription":"iv, 82 p.","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":192771,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":341969,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/2005/142/pdf/ds142.pdf","text":"Report","size":"7.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":7174,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2005/142/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.43548583984375,\n 30.796114909344855\n ],\n [\n -95.55084228515625,\n 30.74773711283919\n ],\n [\n -95.570068359375,\n 30.661540870820918\n ],\n [\n -95.54122924804688,\n 30.510216587229984\n ],\n [\n -95.4766845703125,\n 30.401306519203583\n ],\n [\n -95.45333862304688,\n 30.278044377800153\n ],\n [\n -95.42037963867188,\n 30.148689804618368\n ],\n [\n -95.38467407226562,\n 30.080978010788556\n ],\n [\n -95.29678344726562,\n 30.0381887651539\n ],\n [\n -95.174560546875,\n 30.05483122485245\n ],\n [\n -95.06881713867188,\n 30.135626231134587\n ],\n [\n -95.020751953125,\n 30.23178108955747\n ],\n [\n -95.02349853515625,\n 30.30294635121175\n ],\n [\n -95.08941650390625,\n 30.407228671741567\n ],\n [\n -95.14572143554688,\n 30.479449996609706\n ],\n [\n -95.21026611328125,\n 30.551617781478765\n ],\n [\n -95.26657104492188,\n 30.63082224973687\n ],\n [\n -95.328369140625,\n 30.712323321009055\n ],\n [\n -95.39703369140625,\n 30.78195807210956\n ],\n [\n -95.43548583984375,\n 30.796114909344855\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.877685546875,\n 30.64972717137329\n ],\n [\n -95.91201782226562,\n 30.660359565846754\n ],\n [\n -96.0040283203125,\n 30.624913704054777\n ],\n [\n -96.07269287109375,\n 30.601275914486067\n ],\n [\n -96.0479736328125,\n 30.488917676126846\n ],\n [\n -96.03012084960938,\n 30.36221130643335\n ],\n [\n -96.00814819335936,\n 30.24839093066276\n ],\n [\n -95.86944580078125,\n 30.050076521698735\n ],\n [\n -95.78155517578124,\n 30.00965233044293\n ],\n [\n -95.67581176757812,\n 30.003706206185452\n ],\n [\n -95.5975341796875,\n 30.058397102398402\n ],\n [\n -95.58929443359375,\n 30.143939614372773\n ],\n [\n -95.67169189453125,\n 30.398937557618677\n ],\n [\n -95.70053100585938,\n 30.486550842588485\n ],\n [\n -95.84747314453125,\n 30.626095442050495\n ],\n [\n -95.877685546875,\n 30.64972717137329\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4c9e","contributors":{"authors":[{"text":"East, Jeffery W. jweast@usgs.gov","contributorId":1683,"corporation":false,"usgs":true,"family":"East","given":"Jeffery W.","email":"jweast@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":285990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sneck-Fahrer, Debra A.","contributorId":43844,"corporation":false,"usgs":true,"family":"Sneck-Fahrer","given":"Debra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":285991,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":72736,"text":"ds129 - 2005 - California GAMA program: ground-water quality data in the San Diego drainages hydrogeologic province, California, 2004","interactions":[],"lastModifiedDate":"2012-02-02T00:13:58","indexId":"ds129","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","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":"129","title":"California GAMA program: ground-water quality data in the San Diego drainages hydrogeologic province, California, 2004","docAbstract":"Because of concerns over ground-water quality, the California State Water Resources Control Board (SWRCB), in collaboration with the U.S. Geological Survey and Lawrence Livermore National Laboratory, has implemented the Ground-Water Ambient Monitoring and Assessment (GAMA) Program. A primary objective of the program is to provide a current assessment of ground-water quality in areas where public supply wells are an important source of drinking water. The San Diego GAMA study unit was the first region of the state where an assessment of ground-water quality was implemented under the GAMA program. The San Diego GAMA study unit covers the entire San Diego Drainages hydrogeologic province, and is broken down into four distinct hydrogeologic study areas: the Temecula Valley study area, the Warner Valley study area, the Alluvial Basins study area, and the Hard Rock study area. \r\n\r\n A total of 58 ground-water samples were collected from public supply wells in the San Diego GAMA study unit: 19 wells were sampled in the Temecula Valley study area, 9 in the Warner Valley study area, 17 in the Alluvial Basins study area, and 13 in the Hard Rock study area. Over 350 chemical and microbial constituents and water-quality indicators were analyzed for in this study. However, only select wells were measured for all constituents and water-quality indicators. Results of analyses were calculated as detection frequencies by constituent classification and by individual constituents for the entire San Diego GAMA study unit and for the individual study areas. Additionally, concentrations of constituents that are routinely monitored were compared to maximum contaminant levels (MCL) and secondary maximum contaminant levels (SMCL). Concentrations of constituents classified as 'unregulated chemicals for which monitoring is required' (UCMR) were compared to the 'detection level for the purposes of reporting' (DLR). \r\n\r\n Eighteen of the 88 volatile organic compounds (VOCs) and gasoline oxygenates analyzed for were detected in ground-water samples. Twenty-eight wells sampled in the San Diego GAMA study had at least a single detection of VOCs or gasoline oxygenates. These constituents were most frequently detected in the Alluvial Basin study area (11 of 17 wells), and least frequently detected in the Warner Valley study area (one of nine wells). Trihalomethanes (THMs) were the most frequently detected class of VOCs (18 of 58 wells). The most frequently detected VOCs were chloroform (18 of 58 wells), bromodichloromethane (8 of 58 wells), and methyl tert-butyl ether (MTBE) (7 of 58 wells). Three VOCs were detected at concentrations greater than their MCLs. Tetrachloroethylene (PCE) and trichloroethylene (TCE) were detected in one well in the Hard Rock study area at concentrations of 9.75 and 7.27 micrograms per liter (?g/L), respectively; the MCL for these compounds is 5 ?g/L. MTBE was detected in one well in the Alluvial Basins study area at a concentration of 28.3 ?g/L; the MCL for MTBE is 13 ?g/L. \r\n\r\n Twenty-one of the 122 pesticides and pesticide degradates analyzed for were detected in ground-water samples. Pesticide or pesticide degradates were detected in 33 of 58 wells sampled, and were most frequently detected in the Temecula Valley study area wells (9 of 14 wells), and least frequently in the Warner Valley study area wells (3 of 9 wells). Herbicides were the most frequently detected class of pesticides (31 of 58 wells), and simazine was the most frequently detected compound (27 of 58 wells), followed by deethylatrazine (14 of 58 wells), prometon (10 of 58 wells), and atrazine (9 of 58 wells). None of the pesticides detected in ground-water samples had concentrations that exceeded MCLs. \r\n\r\n Eight waste-water indicator compounds were detected in ground-water samples. Twenty-one of 47 wells sampled for waste-water indicator compounds had at least a single detection. Waste-water indicator compounds were detected most frequently in the Allu","language":"ENGLISH","doi":"10.3133/ds129","usgsCitation":"Wright, M.T., Belitz, K., and Burton, C., 2005, California GAMA program: ground-water quality data in the San Diego drainages hydrogeologic province, California, 2004: U.S. Geological Survey Data Series 129, 102 p., https://doi.org/10.3133/ds129.","productDescription":"102 p.","costCenters":[],"links":[{"id":192770,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7173,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2005/129/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db688074","contributors":{"authors":[{"text":"Wright, Michael T. 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":1508,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":false,"id":285988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":285987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, Carmen A. 0000-0002-6381-8833","orcid":"https://orcid.org/0000-0002-6381-8833","contributorId":41793,"corporation":false,"usgs":true,"family":"Burton","given":"Carmen A.","affiliations":[],"preferred":false,"id":285989,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":72735,"text":"wdrVA041 - 2005 - Water resources data, Virginia water year 2004, Volume 1. Surface-water discharge and surface-water quality records","interactions":[],"lastModifiedDate":"2012-02-02T00:13:58","indexId":"wdrVA041","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","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":"VA-04-1","title":"Water resources data, Virginia water year 2004, Volume 1. Surface-water discharge and surface-water quality records","language":"ENGLISH","doi":"10.3133/wdrVA041","usgsCitation":"White, R.K., Hayes, D., Guyer, J.R., and Powell, E.D., 2005, Water resources data, Virginia water year 2004, Volume 1. Surface-water discharge and surface-water quality records (Online only): U.S. Geological Survey Water Data Report VA-04-1, 578 p., https://doi.org/10.3133/wdrVA041.","productDescription":"578 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":192769,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7172,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-va-04-1/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f5e4b07f02db5f0aec","contributors":{"authors":[{"text":"White, Roger K.","contributorId":19624,"corporation":false,"usgs":true,"family":"White","given":"Roger","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":285983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Donald C.","contributorId":52945,"corporation":false,"usgs":true,"family":"Hayes","given":"Donald C.","affiliations":[],"preferred":false,"id":285985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guyer, Joel R.","contributorId":47446,"corporation":false,"usgs":true,"family":"Guyer","given":"Joel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":285984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Eugene D.","contributorId":80309,"corporation":false,"usgs":true,"family":"Powell","given":"Eugene","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":285986,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":72733,"text":"sir20055227 - 2005 - Compilation of geologic, hydrologic, and ground-water flow modeling information for the Spokane Valley-Rathdrum Prairie aquifer, Spokane County, Washington, and Bonner and Kootenai Counties, Idaho","interactions":[],"lastModifiedDate":"2012-02-02T00:13:58","indexId":"sir20055227","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","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":"2005-5227","title":"Compilation of geologic, hydrologic, and ground-water flow modeling information for the Spokane Valley-Rathdrum Prairie aquifer, Spokane County, Washington, and Bonner and Kootenai Counties, Idaho","docAbstract":"The U.S. Geological Survey, in cooperation with the Idaho Department of Water Resources and Washington Department of Ecology compiled and described geologic, hydrologic, and ground-water flow modeling information about the Spokane Valley-Rathdrum Prairie (SVRP) aquifer in northern Idaho and northeastern Washington. Descriptions of the hydrogeologic framework, water-budget components, ground- and surface-water interactions, computer flow models, and further data needs are provided. The SVRP aquifer, which covers about 370 square miles including the Rathdrum Prairie, Idaho and the Spokane valley and Hillyard Trough, Washington, was designated a Sole Source Aquifer by the U.S. Environmental Protection Agency in 1978. Continued growth, water management issues, and potential effects on water availability and water quality in the aquifer and in the Spokane and Little Spokane Rivers have illustrated the need to better understand and manage the region's water resources. \r\n\r\nThe SVRP aquifer is composed of sand, gravel, cobbles, and boulders primarily deposited by a series of catastrophic glacial outburst floods from ancient Glacial Lake Missoula. The material deposited in this high-energy environment is coarser-grained than is typical for most basin-fill deposits, resulting in an unusually productive aquifer with well yields as high as 40,000 gallons per minute. In most places, the aquifer is bounded laterally by bedrock composed of granite, metasedimentary rocks, or basalt. The lower boundary of the aquifer is largely unknown except along the margins or in shallower parts of the aquifer where wells have penetrated its entire thickness and reached bedrock or silt and clay deposits. Based on surface geophysics, the thickness of the aquifer is about 500 ft near the Washington-Idaho state line, but more than 600 feet within the Rathdrum Prairie and more than 700 feet in the Hillyard trough based on drilling records. Depth to water in the aquifer is greatest in the northern Rathdrum Prairie (about 500 feet) and least near the city of Spokane along the Spokane River (less than about 50 feet). Ground-water flow is south from near the southern end of Lake Pend Oreille and Hoodoo Valley, through the Rathdrum Prairie, then west toward Spokane. In Spokane, the aquifer splits and water moves north through the Hillyard Trough as well as west through the Trinity Trough. From the Trinity Trough water flows north along the western arm of the aquifer. The aquifer's discharge area is along the Little Spokane River and near Long Lake, Washington. \r\n\r\nA compilation of estimates of water-budget components, including recharge (precipitation, irrigation, canal leakage, septic tank effluent, inflow from tributary basins, and flow from the Spokane River) and discharge (withdrawals from wells, flow to the Spokane and Little Spokane Rivers, evapotranspiration, and underflow to Long Lake) illustrates that these estimated values should be compared with caution due to several variables including the area and time period of interest as well as methods employed in making the estimates. \r\n\r\nNumerous studies have documented the dynamic ground-water and surface-water interaction between the SVRP aquifer and the Spokane and Little Spokane Rivers. Gains and losses vary throughout the year, as well as the locations of gains and losses. September 2004 streamflow measurements indicated that the upper reach of the Spokane River between Post Falls and downstream at Flora Road lost 321 cubic feet per second. A gain of 736 cubic feet per second was measured between the Flora Road site and downstream at Green Street Bridge. A loss of 124 cubic feet per second was measured for the reach between the Green Street Bridge and the Spokane River at Spokane gaging station. The river gained about 87 cubic feet per second between the Spokane River at Spokane gaging station and the TJ Meenach Bridge. Overall, the Spokane River gained about 284 cubic feet per second between the Post Falls,","language":"ENGLISH","doi":"10.3133/sir20055227","usgsCitation":"Kahle, S.C., Caldwell, R.R., and Bartolino, J.R., 2005, Compilation of geologic, hydrologic, and ground-water flow modeling information for the Spokane Valley-Rathdrum Prairie aquifer, Spokane County, Washington, and Bonner and Kootenai Counties, Idaho: U.S. Geological Survey Scientific Investigations Report 2005-5227, 76 p., 2 plates, https://doi.org/10.3133/sir20055227.","productDescription":"76 p., 2 plates","costCenters":[],"links":[{"id":192767,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7170,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5227/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ee4b07f02db6a9f4f","contributors":{"authors":[{"text":"Kahle, Sue C. 0000-0003-1262-4446 sckahle@usgs.gov","orcid":"https://orcid.org/0000-0003-1262-4446","contributorId":3096,"corporation":false,"usgs":true,"family":"Kahle","given":"Sue","email":"sckahle@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":285974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":285973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":285972,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":72727,"text":"ofr20051241 - 2005 - Magnetotelluric data, southern Yucca Flat, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:13:58","indexId":"ofr20051241","displayToPublicDate":"2005-11-25T00:00:00","publicationYear":"2005","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":"2005-1241","title":"Magnetotelluric data, southern Yucca Flat, Nevada Test Site, Nevada","language":"ENGLISH","doi":"10.3133/ofr20051241","usgsCitation":"Williams, J.M., Rodriguez, B.D., and Asch, T., 2005, Magnetotelluric data, southern Yucca Flat, Nevada Test Site, Nevada (Online only, Version 1.0): U.S. Geological Survey Open-File Report 2005-1241, 211 p., https://doi.org/10.3133/ofr20051241.","productDescription":"211 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":193201,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7164,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1241/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only, Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db64947d","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":285956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":285955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":285957,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}