{"pageNumber":"1146","pageRowStart":"28625","pageSize":"25","recordCount":46734,"records":[{"id":25769,"text":"wri004268 - 2000 - Simulation of projected water demand and ground-water levels in the Coffee Sand and Eutaw-McShan aquifers in Union County, Mississippi, 2010 through 2050","interactions":[],"lastModifiedDate":"2012-02-02T00:08:23","indexId":"wri004268","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4268","title":"Simulation of projected water demand and ground-water levels in the Coffee Sand and Eutaw-McShan aquifers in Union County, Mississippi, 2010 through 2050","docAbstract":"Ground water from the Eutaw-McShan and the Coffee Sand aquifers is the major source of supply for residential, commercial, and industrial purposes in Union County, Mississippi. Unbiased, scientifically sound data and assessments are needed to assist agencies in better understanding and managing available water resources as continuing development and growth places more stress on available resources. The U.S. Geological Survey, in cooperation with the Tennessee Valley Authority, conducted an investigation using water-demand and ground-water models to evaluate the effect of future water demand on groundwater levels. Data collected for the 12 public-supply facilities and the self-supplied commercial and industrial facilities in Union County were used to construct water-demand models. The estimates of water demand to year 2050 were then input to a ground-water model based on the U.S. Geological Survey finite-difference computer code, MODFLOW. Total ground-water withdrawals for Union County in 1998 were estimated as 2.85 million gallons per day (Mgal/d). Of that amount, municipal withdrawals were 2.55 Mgal/d with about 1.50 Mgal/d (59 percent) delivered to residential users. Nonmunicipal withdrawals were 0.296 Mgal/d. About 80 percent (2.27 Mgal/d) of the total ground-water withdrawal is produced from the Eutaw-McShan aquifer and about 13 percent (0.371 Mgal/d) from the Coffee Sand aquifer. Between normal- and high-growth conditions, total water demand could increase from 72 to 131 percent (2.9 Mgal/d in 1998 to 6.7 Mgal/d in year 2050) with municipal demand increasing from 77 to 146 percent (2.6 to 6.4 Mgal/d). Increased pumping to meet the demand for water was simulated to determine the effect on water levels in the Coffee Sand and Eutaw- McShan aquifers. Under baseline-growth conditions, increased water use by year 2050 could result in an additional 65 feet of drawdown in the New Albany area below year 2000 water levels in the Coffee Sand aquifer and about 120 feet of maximum drawdown in the Eutaw-McShan aquifer. Under normal-growth conditions, increased water use could result in an additional 65 feet of drawdown in the New Albany area below year 2000 water levels in the Coffee Sand aquifer and about 135 feet of maximum drawdown in the Eutaw-McShan aquifer. Under high-growth conditions, increased water use could result in 75 feet of drawdown in the New Albany area below year 2000 water levels in the Coffee Sand aquifer and about 190 feet of maximum drawdown in the Eutaw-McShan aquifer. The resulting highgrowth projected water level for the year 2050 at the center of the drawdown cone in the New Albany area is between 450 and 500 feet above the top of the Eutaw-McShan aquifer. ","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, U.S. Geological Survey ;\r\nBranch of Information Services [distributor],","doi":"10.3133/wri004268","usgsCitation":"Hutson, S.S., Strom, E.W., Burt, D., and Mallory, M.J., 2000, Simulation of projected water demand and ground-water levels in the Coffee Sand and Eutaw-McShan aquifers in Union County, Mississippi, 2010 through 2050: U.S. Geological Survey Water-Resources Investigations Report 2000-4268, v, 36 p. :ill., maps ;28 cm., https://doi.org/10.3133/wri004268.","productDescription":"v, 36 p. :ill., maps ;28 cm.","costCenters":[],"links":[{"id":1875,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri004268","linkFileType":{"id":5,"text":"html"}},{"id":157798,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f7e4b07f02db5f223a","contributors":{"authors":[{"text":"Hutson, Susan S. sshutson@usgs.gov","contributorId":2040,"corporation":false,"usgs":true,"family":"Hutson","given":"Susan","email":"sshutson@usgs.gov","middleInitial":"S.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":194994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strom, E. W.","contributorId":90776,"corporation":false,"usgs":true,"family":"Strom","given":"E.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":194997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burt, D.E.","contributorId":65885,"corporation":false,"usgs":true,"family":"Burt","given":"D.E.","affiliations":[],"preferred":false,"id":194996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mallory, M. J.","contributorId":10398,"corporation":false,"usgs":true,"family":"Mallory","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":194995,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":27604,"text":"wri994063 - 2000 - Water quality of selected springs and public-supply wells, Pine Ridge Indian Reservation, South Dakota, 1992-97","interactions":[],"lastModifiedDate":"2012-02-02T00:08:39","indexId":"wri994063","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"99-4063","title":"Water quality of selected springs and public-supply wells, Pine Ridge Indian Reservation, South Dakota, 1992-97","docAbstract":"This report presents results of a water-quality study for the Pine Ridge Indian Reservation, South Dakota. The study was a cooperative effort between the U.S. Geological Survey and the Water Resources Department of the Oglala Sioux Tribe.\r\n\r\nDischarge and water-quality data were collected during 1992-97 for 14 contact springs located in the northwestern part of the Reservation. Data were collected to evaluate potential alternative sources of water supply for the village of Red Shirt, which currently obtains water of marginal quality from a well completed in the Inyan Kara aquifer. During 1995-97, water-quality data also were collected for 44 public-supply wells that serve about one-half of the Reservation's population. Quality-assurance sampling was used to evaluate the precision and accuracy of environmental samples.\r\n\r\nTen of the springs sampled contact the White River Group, and four contact the Pierre Shale. Springs contacting the White River Group range from calcium bicarbonate to sodium bicarbonate water types. Two springs contacting the Pierre Shale have water types similar to this; however, sulfate is the dominant anion for the other two springs. In general, springs contacting the White River Group are shown to have better potential as alternative sources of water supply for the village of Red Shirt than springs contacting the Pierre Shale.\r\n\r\nNine of the springs with better water quality were sampled repeatedly; however, only minor variability in water quality was identified. Six of these nine springs, of which five contact the White River Group, probably have the best potential for use as water supplies. Discharge from any of these six springs probably would provide adequate water supply for Red Shirt during most periods, based on a limited number of discharge measurements collected. Concentrations of lead exceeded the U.S. Environmental Protection Agency (USEPA) action level of 15 ?g/L for three of these six springs. Five of these six springs also had arsenic concentrations that exceeded 10 ?g/L, which could be problematic if the current maximum contaminant level (MCL) is lowered. Blending of water from one or more springs with water from the existing Inyan Kara well may be an option to address concerns regarding both quantity and quality of existing and potential sources.\r\n\r\nAll nine springs that were sampled for indicator bacteria had positive detections on one or more occasions during presumptive tests. Although USEPA standards for bacteria apply only to public-water supplies, local residents using spring water for domestic purposes need to be aware of the potential health risks associated with consuming untreated water.\r\n\r\nOne spring contacting the White River Group and two springs contacting the Pierre Shale exceeded 15 pCi/L for gross alpha; these values do not necessarily constitute exceedances of the MCL, which excludes radioactivity contributed by uranium and radon. Additional sampling using different analysis techniques would be needed to conclusively determine if any samples exceeded this MCL. Nine springs were sampled for selected pesticides and tritium. The pesticides atrazine, carbaryl, and 2,4-D were not detected in any of the samples. The nine springs were analyzed for tritium in order to generally assess the age of the water and to determine if concentrations exceeded the MCL established for gross beta-particle activity. Tritium results indicated two springs are composed primarily of water recharged prior to atmospheric testing of nuclear bombs and two other springs have a relatively large percentage of test-era water. The remaining five springs had tritium values that indicated some percentage of test-era water; however, additional sampling would be needed to determine whether water is predominantly pre- or post-bomb age.\r\n\r\nOf the 44 public-supply wells sampled, 42 are completed in the Arikaree aquifer, one is completed in an alluvial aquifer, and one is completed in the Inyan Kara aquifer. Water ","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, U.S. Geological Survey ;\r\nBranch of Information Services [distributor],","doi":"10.3133/wri994063","usgsCitation":"Heakin, A.J., 2000, Water quality of selected springs and public-supply wells, Pine Ridge Indian Reservation, South Dakota, 1992-97: U.S. Geological Survey Water-Resources Investigations Report 99-4063, iv, 61 p. :ill. (some col.), maps (some col.) ;28 cm., https://doi.org/10.3133/wri994063.","productDescription":"iv, 61 p. :ill. (some col.), maps (some col.) ;28 cm.","costCenters":[],"links":[{"id":2188,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri994063/","linkFileType":{"id":5,"text":"html"}},{"id":158783,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f9983","contributors":{"authors":[{"text":"Heakin, Allen J.","contributorId":20366,"corporation":false,"usgs":true,"family":"Heakin","given":"Allen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":198400,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":21707,"text":"ofr0032 - 2000 - Physical characteristics of dungeness crab and halibut habitats in Whidbey Passage, Alaska","interactions":[],"lastModifiedDate":"2014-01-13T09:25:49","indexId":"ofr0032","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","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":"2000-32","title":"Physical characteristics of dungeness crab and halibut habitats in Whidbey Passage, Alaska","docAbstract":"In Glacier Bay National Park, Alaska there are ongoing studies of Dungeness Crab (Cancer magister) and Pacific Halibut (Hippoglosus stenolepis). Scientists of the United States Geological Survey (USGS) are attempting to ascertain life history, distribution, and abundance, and to determine the effects of commercial fishing in the park (Carlson et al., 1998). Statistical sampling studies suggest that seafloor characteristics and bathymetry affect the distribution, abundance and behavior of benthic species. Examples include the distribution of Dungeness crab which varies from 78 to 2012 crabs/ha in nearshore areas to depths of 18 m (O'Clair et al., 1995), and changes in halibut foraging behavior according to bottom type (Chilton et al., 1995).\n\nThis report discusses geophysical data collected within the park in 1998. The geophysical surveying done in this and previous studies will be combined with existing population and sonic-tracking data sets as well as future sediment sampling, scuba, submersible, and bottom video camera observations to better understand Dungeness crab and Pacific halibut habitat relationships.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr0032","usgsCitation":"Cochrane, G.R., Carlson, P.R., Boyle, M.E., Gabel, G.L., and Hooge, P.N., 2000, Physical characteristics of dungeness crab and halibut habitats in Whidbey Passage, Alaska: U.S. Geological Survey Open-File Report 2000-32, HTML document, https://doi.org/10.3133/ofr0032.","productDescription":"HTML document","onlineOnly":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":1156,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2000/0032/","linkFileType":{"id":5,"text":"html"}},{"id":153890,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr0032.jpg"},{"id":280836,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2000/0032/objectives.html"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay;Whidbey Passage","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -136.5574,58.3528 ], [ -136.5574,58.7471 ], [ -135.7562,58.7471 ], [ -135.7562,58.3528 ], [ -136.5574,58.3528 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acfe4b07f02db680089","contributors":{"authors":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":185346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlson, Paul R.","contributorId":81469,"corporation":false,"usgs":true,"family":"Carlson","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":185349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyle, Michael E.","contributorId":7963,"corporation":false,"usgs":true,"family":"Boyle","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":185347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gabel, Gregory L.","contributorId":97763,"corporation":false,"usgs":true,"family":"Gabel","given":"Gregory","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":185350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hooge, Philip N.","contributorId":52029,"corporation":false,"usgs":true,"family":"Hooge","given":"Philip","email":"","middleInitial":"N.","affiliations":[{"id":106,"text":"Alaska Biological Science Center","active":false,"usgs":true}],"preferred":false,"id":185348,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":38124,"text":"ofr00393 - 2000 - Velocity and stage data collected in a laboratory flume for water-surface slope determination using a pipe manometer","interactions":[],"lastModifiedDate":"2021-12-03T12:15:26.753567","indexId":"ofr00393","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","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":"2000-393","title":"Velocity and stage data collected in a laboratory flume for water-surface slope determination using a pipe manometer","docAbstract":"U.S. Geological Survey (USGS) hydrologists and ecologist are conducting studies to quantify vegetative flow resistance in order to improve numerical models of surface-water flow in the Florida Everglades. Water-surface slope is perhaps the most difficult of the flow resistance parameters to measure in the Everglades due to the very low gradients of the topography and flow. In an effort to measure these very small slopes, a unique pipe manometer was developed for the local measurement of water-surface slopes on the order of 1 centimeter per kilometer (cm/km). \r\n\r\nAccording to theory, a very precise measurement of centerline velocity obtained inside the pipe manometer should serve as a unique proxy for water-surface slope in the direction of the pipe axis. In order to confirm this theoretical relationship and calibrate the pipe manometer, water-surface elevation and pipe centerline velocity data were simultaneously measured in a set of experiments carried out in the tilting flume at the USGS Hydraulic Laboratory Facility at Stennis Space Center, Mississippi. A description of the instrumentation and methods used to evaluate this technique for measuring water-surface slope as well as a summary of the entire data set is presented.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr00393","issn":"0094-9140","usgsCitation":"Lee, J.K., Visser, H.M., Jenter, H., and Duff, M.P., 2000, Velocity and stage data collected in a laboratory flume for water-surface slope determination using a pipe manometer: U.S. Geological Survey Open-File Report 2000-393, iv, 28 p., https://doi.org/10.3133/ofr00393.","productDescription":"iv, 28 p.","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":64373,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2000/0393/report.pdf","text":"Report","size":"7.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 00-393"},{"id":164517,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2000/0393/report-thumb.jpg"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/car-fl-water\" data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>3321 College Avenue<br>Davie, FL 33314</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49a0e4b07f02db5bdc52","contributors":{"authors":[{"text":"Lee, Jonathan K.","contributorId":60186,"corporation":false,"usgs":true,"family":"Lee","given":"Jonathan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":219085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Visser, H. M.","contributorId":53858,"corporation":false,"usgs":true,"family":"Visser","given":"H.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":219084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenter, H. L.","contributorId":25167,"corporation":false,"usgs":true,"family":"Jenter","given":"H. L.","affiliations":[],"preferred":false,"id":219083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duff, M. P.","contributorId":21204,"corporation":false,"usgs":true,"family":"Duff","given":"M.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":219082,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":31155,"text":"ofr00222 - 2000 - Geologic map database of the El Mirage Lake area, San Bernardino and Los Angeles Counties, California","interactions":[],"lastModifiedDate":"2023-06-22T13:30:44.132683","indexId":"ofr00222","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","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":"2000-222","title":"Geologic map database of the El Mirage Lake area, San Bernardino and Los Angeles Counties, California","docAbstract":"This geologic map database for the El Mirage Lake area describes geologic materials for the dry lake, parts of the adjacent Shadow Mountains and Adobe Mountain, and much of the piedmont extending south from the lake upward toward the San Gabriel Mountains. This area lies within the western Mojave Desert of San Bernardino and Los Angeles Counties, southeastern California. The area is traversed by a few paved highways that service the community of El Mirage, and by numerous dirt roads that lead to outlying properties. An off-highway vehicle area established by the Bureau of Land Management encompasses the dry lake and much of the land north and east of the lake. The physiography of the area consists of the dry lake, flanking mud and sand flats and alluvial piedmonts, and a few sharp craggy mountains.\n\nThis digital geologic map database, intended for use at 1:24,000-scale, describes and portrays the rock units and surficial deposits of the El Mirage Lake area. The map database was prepared to aid in a water-resource assessment of the area by providing surface geologic information with which deepergroundwater-bearing units may be understood. The area mapped covers the Shadow Mountains SE and parts of the Shadow Mountains, Adobe Mountain, and El Mirage 7.5-minute quadrangles. The map includes detailed geology of surface and bedrock deposits, which represent a significant update from previous bedrock geologic maps by Dibblee (1960) and Troxel and Gunderson (1970), and the surficial geologic map of Ponti and Burke (1980); it incorporates a fringe of the detailed bedrock mapping in the Shadow Mountains by Martin (1992). The map data were assembled as a digital database using ARC/INFO to enable wider applications than traditional paper-product geologic maps and to provide for efficient meshing with other digital data bases prepared by the U.S. Geological Survey's Southern California Areal Mapping Project.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr00222","usgsCitation":"Miller, D., and Bedford, D., 2000, Geologic map database of the El Mirage Lake area, San Bernardino and Los Angeles Counties, California: U.S. Geological Survey Open-File Report 2000-222, Report: PDF, 27 p., TXT file, EPS file; 6 Metadata files; Complete digital package; 3 Plates: 40.03 x 50.03 inches and smaller; 3 EPS.GZ files, https://doi.org/10.3133/ofr00222.","productDescription":"Report: PDF, 27 p., TXT file, EPS file; 6 Metadata files; Complete digital package; 3 Plates: 40.03 x 50.03 inches and smaller; 3 EPS.GZ files","numberOfPages":"27","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":160857,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr00222.gif"},{"id":281570,"rank":11,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2000/0222/pdf/of00-222_5c.pdf"},{"id":281569,"rank":12,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2000/0222/pdf/of00-222_5b.pdf"},{"id":281568,"rank":13,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2000/0222/pdf/of00-222_5a.pdf"},{"id":281567,"rank":2,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2000/0222/of00-222_3i.tar.gz"},{"id":281566,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2000/0222/of00-222_4e.xml"},{"id":281565,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2000/0222/of00-222_4d.sgml"},{"id":281564,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2000/0222/of00-222_4b.html"},{"id":281563,"rank":8,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2000/0222/of00-222_4c.html"},{"id":281562,"rank":9,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2000/0222/of00-222_4a.txt"},{"id":281561,"rank":10,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2000/0222/of00-222revs1.txt"},{"id":281560,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2000/0222/pdf/of00-222_2c.pdf"},{"id":281559,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2000/0222/"}],"country":"United States","state":"California","county":"San Bernardino County;Los Angeles County","otherGeospatial":"El Mirage Lake Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.691,34.5 ], [ -117.691,34.734 ], [ -117.5,34.734 ], [ -117.5,34.5 ], [ -117.691,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b12e4b07f02db6a2f0e","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":205160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedford, David R.","contributorId":26352,"corporation":false,"usgs":true,"family":"Bedford","given":"David R.","affiliations":[],"preferred":false,"id":205161,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":24015,"text":"ofr00326 - 2000 - Hawaiian Volcano Observatory summary 94; part I, seismic data, January to December 1994","interactions":[],"lastModifiedDate":"2021-12-23T19:36:13.531064","indexId":"ofr00326","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","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":"2000-326","title":"Hawaiian Volcano Observatory summary 94; part I, seismic data, January to December 1994","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Department of the Interior, U.S. Geological Survey,","doi":"10.3133/ofr00326","issn":"0094-9140","usgsCitation":"Nakata, J.S., Heliker, C., Mattox, T., and Thornberger, C., 2000, Hawaiian Volcano Observatory summary 94; part I, seismic data, January to December 1994: U.S. Geological Survey Open-File Report 2000-326, 59 p., https://doi.org/10.3133/ofr00326.","productDescription":"59 p.","costCenters":[],"links":[{"id":53191,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2000/0326/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":157215,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2000/0326/report-thumb.jpg"},{"id":388613,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_31665.htm"}],"country":"United States","state":"Hawaii","otherGeospatial":"Hawaii Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.390380859375,\n              18.823116948090494\n            ],\n            [\n              -154.51171875,\n              18.823116948090494\n            ],\n            [\n              -154.51171875,\n              20.324023603422518\n            ],\n            [\n              -156.390380859375,\n              20.324023603422518\n            ],\n            [\n              -156.390380859375,\n              18.823116948090494\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6de4b07f02db63f0d2","contributors":{"authors":[{"text":"Nakata, Jennifer S.","contributorId":18364,"corporation":false,"usgs":true,"family":"Nakata","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":191152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heliker, C. C.","contributorId":70753,"corporation":false,"usgs":true,"family":"Heliker","given":"C. C.","affiliations":[],"preferred":false,"id":191154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mattox, T.","contributorId":75966,"corporation":false,"usgs":true,"family":"Mattox","given":"T.","affiliations":[],"preferred":false,"id":191155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thornberger, C.","contributorId":26328,"corporation":false,"usgs":true,"family":"Thornberger","given":"C.","email":"","affiliations":[],"preferred":false,"id":191153,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":30864,"text":"wri004094 - 2000 - Application of nonlinear least-squares regression to ground-water flow modeling, west-central Florida","interactions":[],"lastModifiedDate":"2012-02-02T00:09:05","indexId":"wri004094","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4094","title":"Application of nonlinear least-squares regression to ground-water flow modeling, west-central Florida","docAbstract":"A nonlinear least-squares regression technique for estimation of ground-water flow model parameters was applied to an existing model of the regional aquifer system underlying west-central Florida. The regression technique minimizes the differences between measured and simulated water levels. Regression statistics, including parameter sensitivities and correlations, were calculated for reported parameter values in the existing model. Optimal parameter values for selected hydrologic variables of interest are estimated by nonlinear regression. Optimal estimates of parameter values are about 140 times greater than and about 0.01 times less than reported values. Independently estimating all parameters by nonlinear regression was impossible, given the existing zonation structure and number of observations, because of parameter insensitivity and correlation. Although the model yields parameter values similar to those estimated by other methods and reproduces the measured water levels reasonably accurately, a simpler parameter structure should be considered. Some possible ways of improving model calibration are to: (1) modify the defined parameter-zonation structure by omitting and/or combining parameters to be estimated; (2) carefully eliminate observation data based on evidence that they are likely to be biased; (3) collect additional water-level data; (4) assign values to insensitive parameters, and (5) estimate the most sensitive parameters first, then, using the optimized values for these parameters, estimate the entire data set. ","language":"ENGLISH","doi":"10.3133/wri004094","usgsCitation":"Yobbi, D.K., 2000, Application of nonlinear least-squares regression to ground-water flow modeling, west-central Florida: U.S. Geological Survey Water-Resources Investigations Report 2000-4094, 58 p., https://doi.org/10.3133/wri004094.","productDescription":"58 p.","costCenters":[],"links":[{"id":2739,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri00-4094/","linkFileType":{"id":5,"text":"html"}},{"id":160303,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a8a0","contributors":{"authors":[{"text":"Yobbi, D. K.","contributorId":56622,"corporation":false,"usgs":true,"family":"Yobbi","given":"D.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":204231,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":30506,"text":"wri004220 - 2000 - Water-quality characteristics for selected streams in Lawrence County, South Dakota, 1988-92","interactions":[],"lastModifiedDate":"2012-02-02T00:08:54","indexId":"wri004220","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4220","title":"Water-quality characteristics for selected streams in Lawrence County, South Dakota, 1988-92","docAbstract":"During the 1980?s, significant economic development and population growth began to occur in Lawrence County in the northern part of the Black Hills of western South Dakota. Rising gold prices and heap-leach extraction methods allowed the economic recovery of marginal gold ore deposits, resulting in development of several large-scale, open-pit gold mines in Lawrence County. There was increasing local concern regarding potential impacts on the hydrologic system, especially relating to the quantity and quality of water in the numerous streams and springs of Lawrence County. In order to characterize the water quality of selected streams within Lawrence County, samples were collected from 1988 through 1992 at different times of the year and under variable hydrologic conditions. During the time of this study, the Black Hills area was experiencing a drought; thus, most samples were collected during low-flow conditions.Streamflow and water-quality characteristics in Lawrence County are affected by both geologic conditions and precipitation patterns. Most streams that cross outcrops of the Madison Limestone and Minnelusa Formation lose all or large part of their streamflow to aquifer recharge. Streams that are predominantly spring fed have relatively stable streamflow, varying slightly with dry and wet precipitation cycles.Most streams in Lawrence County generally have calcium magnesium bicarbonate type waters. The sites from the mineralized area of central Lawrence County vary slightly from other streams in Lawrence County by having higher concentrations of sodium, less bicarbonate, and more sulfate. False Bottom Creek near Central City has more sulfate than bicarbonate. Nitrogen, phosphorous, and cyanide concentrations were at or near the laboratory reporting limits for most sites and did not exceed any of the water-quality standards. Nitrite plus nitrate concentrations at Annie Creek near Lead, Whitetail Creek at Lead, Squaw Creek near Spearfish, and Spearfish Creek below Robison Gulch were somewhat higher than at other sites. Mining activity, agricultural activity, and domestic development are possible sources of nitrogen to the streams. Increased mining activities were identified as the probable cause of increased nitrogen concentrations in Annie Creek.In the mineralized area of the northern Black Hills, detectable concentrations of trace elements are common in stream water, occasionally exceeding beneficial-use and aquatic-life criteria. In addition, many basins have been disturbed by both historical and recent mining operations and cleanup activities. The maximum dissolved arsenic concentration at Annie Creek near Lead (48 micrograms per liter) approached the current arsenic drinking-water standard. Concentrations at or greater than 5 micrograms per liter were found in samples from Annie Creek near Lead, Spearfish Creek above Spearfish, Whitetail Creek at Lead, and False Bottom Creek near Spearfish. Bear Butte Creek near Deadwood had one sample with a dissolved copper concentration that exceeded acute and chronic aquatic-life criteria. Bear Butte Creek near Deadwood had several manganese concentrations that exceeded the secondary maximum contaminant level of 50 micrograms per liter.Bed-sediment and water-quality data from selected sites in small drainage basins were used to determine if factors such as pH, arsenic concentrations in bed sediments, and calcite saturation control dissolved arsenic concentrations. Arsenic solubility is controlled by adsorption, mainly on ferrihydrite. In addition, adsorption/desorption of arsenic is controlled by the pH of the stream, with high arsenic concentrations appearing only at higher pH conditions (above 8). There are significant arsenic sources available to almost all the small streams of the northern Black Hills mining area, but arsenic is less mobile in streams that are not influenced to the higher pH values by calcite. Streams where arsenic is more mobile have lower iron concentrations i","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, U.S. Geological Survey ;\r\nInformation Services [distributor],","doi":"10.3133/wri004220","usgsCitation":"Williamson, J., and Hayes, T., 2000, Water-quality characteristics for selected streams in Lawrence County, South Dakota, 1988-92: U.S. Geological Survey Water-Resources Investigations Report 2000-4220, v, 131 p. :ill. (some col.), maps ;28 cm., https://doi.org/10.3133/wri004220.","productDescription":"v, 131 p. :ill. (some col.), maps ;28 cm.","costCenters":[],"links":[{"id":2400,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri004220","linkFileType":{"id":5,"text":"html"}},{"id":159536,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fb03e","contributors":{"authors":[{"text":"Williamson, Joyce E. jewillia@usgs.gov","contributorId":1964,"corporation":false,"usgs":true,"family":"Williamson","given":"Joyce E.","email":"jewillia@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":203368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Timothy Scott","contributorId":97151,"corporation":false,"usgs":true,"family":"Hayes","given":"Timothy Scott","affiliations":[],"preferred":false,"id":203369,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":24017,"text":"ofr00354 - 2000 - Hawaiian Volcano Observatory: Summary 96; part 1, seismic data, January to December 1996, with a chronological summary","interactions":[],"lastModifiedDate":"2022-07-11T19:05:52.50726","indexId":"ofr00354","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","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":"2000-354","title":"Hawaiian Volcano Observatory: Summary 96; part 1, seismic data, January to December 1996, with a chronological summary","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr00354","usgsCitation":"Nakata, J.S., Heliker, C., Thornber, C.R., and Sherrod, D.R., 2000, Hawaiian Volcano Observatory: Summary 96; part 1, seismic data, January to December 1996, with a chronological summary: U.S. Geological Survey Open-File Report 2000-354, i, 84 p., https://doi.org/10.3133/ofr00354.","productDescription":"i, 84 p.","costCenters":[],"links":[{"id":403427,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_32199.htm","linkFileType":{"id":5,"text":"html"}},{"id":53193,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2000/0354/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":156720,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2000/0354/report-thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.29150390625,\n              18.87510275035649\n            ],\n            [\n              -154.70947265625,\n              18.87510275035649\n            ],\n            [\n              -154.70947265625,\n              20.282808691330054\n            ],\n            [\n              -156.29150390625,\n              20.282808691330054\n            ],\n            [\n              -156.29150390625,\n              18.87510275035649\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6de4b07f02db63f0d6","contributors":{"authors":[{"text":"Nakata, Jennifer S.","contributorId":18364,"corporation":false,"usgs":true,"family":"Nakata","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":191162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heliker, C. C.","contributorId":70753,"corporation":false,"usgs":true,"family":"Heliker","given":"C. C.","affiliations":[],"preferred":false,"id":191163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thornber, Carl R. cthornber@usgs.gov","contributorId":2016,"corporation":false,"usgs":true,"family":"Thornber","given":"Carl","email":"cthornber@usgs.gov","middleInitial":"R.","affiliations":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":191161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":191160,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":24016,"text":"ofr00353 - 2000 - Hawaiian Volcano Observatory summary 95; Part 1, seismic data, January to December 1995, with a chronological summary","interactions":[],"lastModifiedDate":"2021-08-25T19:21:46.04469","indexId":"ofr00353","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","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":"2000-353","title":"Hawaiian Volcano Observatory summary 95; Part 1, seismic data, January to December 1995, with a chronological summary","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Department of the Interior, U.S. Geological Survey,","doi":"10.3133/ofr00353","issn":"0094-9140","usgsCitation":"Nakata, J.S., Thornber, C.R., Reynolds, J., and Heliker, C., 2000, Hawaiian Volcano Observatory summary 95; Part 1, seismic data, January to December 1995, with a chronological summary: U.S. Geological Survey Open-File Report 2000-353, i, 69 p., https://doi.org/10.3133/ofr00353.","productDescription":"i, 69 p.","costCenters":[],"links":[{"id":157216,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2000/0353/report-thumb.jpg"},{"id":53192,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2000/0353/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":388496,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_32198.htm"}],"country":"United States","state":"Hawaii","otherGeospatial":"Hawaii Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.24755859375,\n              18.885497977462876\n            ],\n            [\n              -154.7589111328125,\n              18.885497977462876\n            ],\n            [\n              -154.7589111328125,\n              20.2725032501349\n            ],\n            [\n              -156.24755859375,\n              20.2725032501349\n            ],\n            [\n              -156.24755859375,\n              18.885497977462876\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6de4b07f02db63f27d","contributors":{"authors":[{"text":"Nakata, Jennifer S.","contributorId":18364,"corporation":false,"usgs":true,"family":"Nakata","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":191157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thornber, Carl R. cthornber@usgs.gov","contributorId":2016,"corporation":false,"usgs":true,"family":"Thornber","given":"Carl","email":"cthornber@usgs.gov","middleInitial":"R.","affiliations":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":191156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Jennifer","contributorId":56683,"corporation":false,"usgs":true,"family":"Reynolds","given":"Jennifer","affiliations":[],"preferred":false,"id":191158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heliker, C. C.","contributorId":70753,"corporation":false,"usgs":true,"family":"Heliker","given":"C. C.","affiliations":[],"preferred":false,"id":191159,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":25419,"text":"wri004123 - 2000 - Comparison of nitrate, pesticides, and volatile organic compounds in samples from monitoring and public-supply wells, Kirkwood-Cohansey aquifer system, southern New Jersey","interactions":[],"lastModifiedDate":"2022-05-18T19:27:10.018363","indexId":"wri004123","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4123","title":"Comparison of nitrate, pesticides, and volatile organic compounds in samples from monitoring and public-supply wells, Kirkwood-Cohansey aquifer system, southern New Jersey","docAbstract":"The number and total concentration of\r\nvolatile organic compounds (VOCs) per\r\nsample were significantly greater in water from\r\npublic-supply wells than in water from shallow\r\nand moderate-depth monitoring wells in the\r\nsurficial Kirkwood-Cohansey aquifer system in\r\nthe Glassboro area of southern New Jersey. In\r\ncontrast, concentrations of nitrate (as nitrogen)\r\nand the number and total concentration of\r\npesticides per sample were statistically similar\r\nin samples from shallow and moderate-depth\r\nmonitoring wells and those from public-supply\r\nwells.\r\nVOCs in ground water typically are\r\nderived from point sources, which commonly\r\nexist in urban areas and which result in\r\nspatially variable contaminant concentrations\r\nnear the water table. Because larger volumes of\r\nwater are withdrawn from public-supply wells\r\nthan from monitoring wells, their contributing\r\nareas are larger and, therefore, they are more\r\nlikely to intercept water flowing from VOC\r\npoint sources. Additionally, public-supply\r\nwells intercept flow paths that span a large\r\ntemporal interval. Public-supply wells in the\r\nGlassboro study area withdraw water flowing\r\nalong short paths, which contains VOCs that\r\nrecently entered the aquifer system, and water\r\nflowing along relatively long paths, which\r\ncontains VOCs that originated from the\r\ndegradation of parent compounds or that are\r\nassociated with past land uses. Because the\r\nvolume of water withdrawn from monitoring\r\nwells is small and because shallow monitoring\r\nwells are screened near the water table, they\r\ngenerally intercept only relatively short flow\r\npaths. Therefore, samples from these wells\r\nrepresent relatively recent, discrete time\r\nintervals and contain both fewer VOCs and a\r\nlower total VOC concentration than samples\r\nfrom public-supply wells.\r\nNitrate and pesticides in ground water\r\ntypically are derived from nonpoint sources,\r\nwhich commonly are found in both agricultural\r\nand urban areas and typically result in lowlevel,\r\nrelatively uniform concentrations near\r\nthe water table. Because nonpoint sources are\r\ndiffuse and because processes such as\r\ndegradation or sorption/dispersion do not occur\r\nat rates sufficient to prevent detection of these\r\nconstituents in parts of the aquifer used for\r\ndomestic and public supply in the study area,\r\nconcentrations of nitrate and pesticides and\r\nnumbers of pesticide compounds are likely to\r\nbe similar in samples from shallow monitoring\r\nwells and samples from public-supply wells.\r\nResults of a comparison of (1) the general\r\ncharacteristics of, and water-quality data from,\r\npublic-supply wells in the Glassboro study area\r\nto available data from public-supply wells\r\nscreened in the Kirkwood-Cohansey aquifer\r\nsystem outside the study area, and (2) land-use\r\nsettings, soil characteristics, and aquifer\r\nproperties in and outside the study area indicate\r\nthat the findings of this study likely are\r\napplicable to the entire extent of the Kirkwood-\r\nCohansey aquifer system in southern New\r\nJersey.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri004123","usgsCitation":"Stackelberg, P.E., Kauffman, L.J., Baehr, A.L., and Ayers, M.A., 2000, Comparison of nitrate, pesticides, and volatile organic compounds in samples from monitoring and public-supply wells, Kirkwood-Cohansey aquifer system, southern New Jersey: U.S. Geological Survey Water-Resources Investigations Report 2000-4123, vi, 51 p., https://doi.org/10.3133/wri004123.","productDescription":"vi, 51 p.","numberOfPages":"58","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":156629,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2000/4123/coverthb.jpg"},{"id":1806,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2000/4123/wri004123.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 00-4123"},{"id":400776,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_34825.htm"}],"country":"United States","state":"New Jersey","otherGeospatial":"Kirkwood-Cohansey aquifer system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.307,\n              39.442\n            ],\n            [\n              -74.849,\n              39.442\n            ],\n            [\n              -74.849,\n              39.843\n            ],\n            [\n              -75.307,\n              39.843\n            ],\n            [\n              -75.307,\n              39.442\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae44d","contributors":{"authors":[{"text":"Stackelberg, Paul E. 0000-0002-1818-355X pestack@usgs.gov","orcid":"https://orcid.org/0000-0002-1818-355X","contributorId":1069,"corporation":false,"usgs":true,"family":"Stackelberg","given":"Paul","email":"pestack@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":193610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, L. J. 0000-0003-4564-0362","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":65217,"corporation":false,"usgs":true,"family":"Kauffman","given":"L.","email":"","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":193613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baehr, A. L.","contributorId":59831,"corporation":false,"usgs":true,"family":"Baehr","given":"A.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":193612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ayers, M. A.","contributorId":41417,"corporation":false,"usgs":true,"family":"Ayers","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":193611,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":31145,"text":"ofr200096 - 2000 - Digital Map of Water-Level Changes in the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming, 1980 to 1997","interactions":[],"lastModifiedDate":"2017-09-20T16:51:08","indexId":"ofr200096","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","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":"2000-96","title":"Digital Map of Water-Level Changes in the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming, 1980 to 1997","docAbstract":"This data set consists of digital water-level-change contours for the High Plains aquifer in the central United States, 1980 to 1997.  The High Plains aquifer extends from south of 32 degrees to almost 44 degrees north latitude and from 96 degrees 30 minutes to 104 degrees west longitude.  The aquifer underlies about 174,000 square miles in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming.\r\n\r\nThis digital data set was created from 5,233 wells measured in both 1980 and 1997.  The water-level-change contours were drawn manually on mylar at a scale of 1:1,000,000.  The contours then were converted to a digital map.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr200096","usgsCitation":"Fischer, B.C., Kollasch, K.M., and McGuire, V.L., 2000, Digital Map of Water-Level Changes in the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming, 1980 to 1997 (Edition 1.0): U.S. Geological Survey Open-File Report 2000-96, NA, https://doi.org/10.3133/ofr200096.","productDescription":"NA","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":10107,"rank":9999,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ofr00-96_wlc80_97.xml"},{"id":2644,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ofr00-096 ","linkFileType":{"id":5,"text":"html"}},{"id":160839,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"scale":"1000000","projection":"Albers Equal Area Conic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.00138888888888,31.65 ], [ -106.00138888888888,43.800555555555555 ], [ -96.25083333333333,43.800555555555555 ], [ -96.25083333333333,31.65 ], [ -106.00138888888888,31.65 ] ] ] } } ] }","edition":"Edition 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d5f9","contributors":{"authors":[{"text":"Fischer, Brian C.","contributorId":49832,"corporation":false,"usgs":true,"family":"Fischer","given":"Brian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":205129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kollasch, Keith M.","contributorId":101291,"corporation":false,"usgs":true,"family":"Kollasch","given":"Keith","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":205130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Virginia L. 0000-0002-3962-4158 vlmcguir@usgs.gov","orcid":"https://orcid.org/0000-0002-3962-4158","contributorId":404,"corporation":false,"usgs":true,"family":"McGuire","given":"Virginia","email":"vlmcguir@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":205128,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":5414,"text":"fs06800 - 2000 - Water Flows in the Necedah National Wildlife Refuge","interactions":[],"lastModifiedDate":"2015-09-25T14:51:49","indexId":"fs06800","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"068-00","title":"Water Flows in the Necedah National Wildlife Refuge","docAbstract":"<div data-canvas-width=\"25.7754\">The Necedah National Wildlife Refuge (NNWR), in Juneau County, Wisconsin (fig. 1). contains extensive wetlands areas commonly recog- nized as providing habitat and protection for migratory birds and endangered species. Because of concerns with potential changes to the water resources that supply the Refuge, the U.S. Fish and Wildlife Service and the U.S. Geological Survey undertook a one-year study to characterize the water resources of the Refuge in 1998. That study, which focused on quantifying the surface water and ground-water flows into and out of the Refuge, was intended to serve as a baseline condition of water resources on the Refuge.</div>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs06800","usgsCitation":"Hunt, R.J., Graczyk, D., and Rose, W., 2000, Water Flows in the Necedah National Wildlife Refuge: U.S. Geological Survey Fact Sheet 068-00, 4 p., https://doi.org/10.3133/fs06800.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":117370,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2000/0068/report-thumb.jpg"},{"id":32046,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2000/0068/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":554,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://wi.water.usgs.gov/pubs/FS-068-00/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wisconsin","county":"Juneau County","otherGeospatial":"Necedah National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.36872863769531,\n              44.02195282780904\n            ],\n            [\n              -90.36872863769531,\n              44.203373876159134\n            ],\n            [\n              -90.10986328125,\n              44.203373876159134\n            ],\n            [\n              -90.10986328125,\n              44.02195282780904\n            ],\n            [\n              -90.36872863769531,\n              44.02195282780904\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd404","contributors":{"authors":[{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":150943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graczyk, David J.","contributorId":107265,"corporation":false,"usgs":true,"family":"Graczyk","given":"David J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":150945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, William J. wjrose@usgs.gov","contributorId":2182,"corporation":false,"usgs":true,"family":"Rose","given":"William J.","email":"wjrose@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":150944,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":4981,"text":"fs01400 - 2000 - Monitoring The Water Quality of the Nation's Large Rivers Colorado River NASQAN Program","interactions":[],"lastModifiedDate":"2012-02-02T00:05:38","indexId":"fs01400","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"014-00","title":"Monitoring The Water Quality of the Nation's Large Rivers Colorado River NASQAN Program","docAbstract":"Since 1995, the National Stream Quality Accounting Network (NASQAN) of the U. S. Geological Survey (USGS) has focused on monitoring the water quality of the Nation's largest rivers including the Colorado, Columbia, Mississippi, and Rio Grande. The NASQAN program in the Colorado River Basin consists of eight stations that span seven basin States including Colorado, Wyoming, Utah, New Mexico, Arizona, Nevada, and California. Data collected from these stations are used to quantify the transport of chemical constituents and evaluate trends in water quality of the river. Currently, the NASQAN program in the Colorado River Basin is providing necessary data and information required by resource managers of the river who are responsible for meeting longstanding legal agreements that regulate the flow and quality of the river water.","language":"ENGLISH","publisher":"U.S. Geological Survey,","doi":"10.3133/fs01400","usgsCitation":"Hart, R.J., and Hooper, R.P., 2000, Monitoring The Water Quality of the Nation's Large Rivers Colorado River NASQAN Program: U.S. Geological Survey Fact Sheet 014-00, 1 folded sheet ([4] p.) : col. ill., col. maps ; 28 x 43 cm. folded to 28 x 22 cm., https://doi.org/10.3133/fs01400.","productDescription":"1 folded sheet ([4] p.) : col. ill., col. maps ; 28 x 43 cm. folded to 28 x 22 cm.","costCenters":[],"links":[{"id":122818,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_014_00.bmp"},{"id":163,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/FS/fs-014-00/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db6990e1","contributors":{"authors":[{"text":"Hart, Robert J. bhart@usgs.gov","contributorId":598,"corporation":false,"usgs":true,"family":"Hart","given":"Robert","email":"bhart@usgs.gov","middleInitial":"J.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":150234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooper, Richard P.","contributorId":19144,"corporation":false,"usgs":true,"family":"Hooper","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":150235,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":38120,"text":"ofr00307 - 2000 - Investigation of polyethylene passive diffusion samplers for sampling volatile organic compounds in ground water at Davis Global Communications, Sacramento, California, August 1998 to February 1999","interactions":[],"lastModifiedDate":"2012-02-02T00:09:54","indexId":"ofr00307","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","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":"2000-307","title":"Investigation of polyethylene passive diffusion samplers for sampling volatile organic compounds in ground water at Davis Global Communications, Sacramento, California, August 1998 to February 1999","docAbstract":"Fourteen wells were instrumented with diffusion samplers as a test to determine whether the samplers could be used to obtain representative volatile organic compound concentrations at a study site in Sacramento, California. Single diffusion samplers were placed in 10-foot-long well screens, and multiple diffusion samplers were positioned in 20-foot-long well screens. Borehole geophysical logs and electromagnetic flowmeter tests were run in selected wells with 20-foot-long well screens prior to deploying the samplers. The diffusion samplers were recovered after 25 to 30 days, and the wells were then sampled by using the purge-and-sample method. In most wells, the concentrations obtained by using the downhole diffusion samplers closely matched those obtained by using the purge-and-sample method. In seven wells, the concentrations differed between the two methods by only 2 micrograms per liter (g/L) or less. In three wells, volatile organic compounds were not detected in water obtained by using either method. In the four remaining wells, differences between the methods were less than 2g/L in the 0.2- to 8.5-g/L concentration range and from 1.2 to 8.7g/L in the 10- to 26-g/L concentration range. Greater differences (23 percent or 14.5g/L, 31 percent or 66g/L, and 46 percent or 30g/L) between the two methods were observed for tetrachloroethene concentrations, which ranged between 30 and 211g/L in three wells. The most probable explanation for the differences is that in some wells, the purging induced drawdowns and introduced water that differed in volatile organic compound concentrations from the in situ water in contact with the screened interval of the well. Alternate explanations include the possibility of unrecorded changes in nearby contaminant-extraction-well operation during the equilibration period. The data suggest that the combined use of borehole flowmeter tests and diffusion samplers may be useful in optimizing the radius of capture of contaminated ground water by the contaminant-removal wells. Overall, the data suggest that the use of diffusion samplers provided an alternative sampling method to the purge-and-sample approach.\r\n\r\n \r\n\r\n1U.S. Geological Survey, Stephenson Center, Suite 129, 720 Gracern Road, Columbia, South Carolina 29210-7651.\r\n\r\n2U.S. Geological Survey, 6000 J Street, Sacramento, California 95819-6129.","language":"ENGLISH","publisher":"U.S. Department of the Interior, U.S. Geological Survey ;\r\nBranch of Information Services [distributor],","doi":"10.3133/ofr00307","issn":"0094-9140","usgsCitation":"Vroblesky, D.A., Borchers, J.W., Campbell, T., and Kinsey, W., 2000, Investigation of polyethylene passive diffusion samplers for sampling volatile organic compounds in ground water at Davis Global Communications, Sacramento, California, August 1998 to February 1999: U.S. Geological Survey Open-File Report 2000-307, iv, 13 p. :ill., map ;28 cm., https://doi.org/10.3133/ofr00307.","productDescription":"iv, 13 p. :ill., map ;28 cm.","costCenters":[],"links":[{"id":164526,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2000/0307/report-thumb.jpg"},{"id":64369,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2000/0307/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db6278a8","contributors":{"authors":[{"text":"Vroblesky, Don A. vroblesk@usgs.gov","contributorId":413,"corporation":false,"usgs":true,"family":"Vroblesky","given":"Don","email":"vroblesk@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":219062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borchers, J. W.","contributorId":74414,"corporation":false,"usgs":true,"family":"Borchers","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":219064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, T.R.","contributorId":99594,"corporation":false,"usgs":true,"family":"Campbell","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":219065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinsey, Willey","contributorId":23998,"corporation":false,"usgs":true,"family":"Kinsey","given":"Willey","email":"","affiliations":[],"preferred":false,"id":219063,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":24651,"text":"ofr2000313 - 2000 - A note on scrap in the 1992 U.S. input-output tables","interactions":[],"lastModifiedDate":"2012-02-02T00:08:23","indexId":"ofr2000313","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","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":"2000-313","title":"A note on scrap in the 1992 U.S. input-output tables","docAbstract":"Introduction\r\nA key concern of industrial ecology and life cycle analysis is the disposal and recycling of\r\nscrap. One might conclude that the U.S. input-output tables are appropriate tools for analyzing\r\nscrap flows. Duchin, for instance, has suggested using input-output analysis for industrial\r\necology, indicating that input-output economics can trace the stocks and flows of energy and\r\nother materials from extraction through production and consumption to recycling or disposal.\r\nLave and others use input-output tables to design life cycle assessment models for studying\r\nproduct design, materials use, and recycling strategies, even with the knowledge that these tables\r\nsuffer from a lack of comprehensive and detailed data that may never be resolved.\r\nAlthough input-output tables can offer general guidance about the interdependence of\r\neconomic and environmental processes, data reporting by industry and the economic concepts\r\nunderlying these tables pose problems for rigorous material flow examinations. This is\r\nespecially true for analyzing the output of scrap and scrap flows in the United States and\r\nestimating the amount of scrap that can be recycled. To show how data reporting has affected the\r\nvalues of scrap in recent input-output tables, this paper focuses on metal scrap generated in\r\nmanufacturing. The paper also briefly discusses scrap that is not included in the input-output\r\ntables and some economic concepts that limit the analysis of scrap flows.","language":"ENGLISH","publisher":"U.S. Department of the Interior, U.S. Geological Survey,","doi":"10.3133/ofr2000313","issn":"0094-9140","usgsCitation":"Swisko, G.M., 2000, A note on scrap in the 1992 U.S. input-output tables (Version 1.0): U.S. Geological Survey Open-File Report 2000-313, ii, 19 p. ;28 cm., https://doi.org/10.3133/ofr2000313.","productDescription":"ii, 19 p. ;28 cm.","costCenters":[],"links":[{"id":157736,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9150,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2000/of00-313/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8069","contributors":{"authors":[{"text":"Swisko, George M.","contributorId":29477,"corporation":false,"usgs":true,"family":"Swisko","given":"George","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":192323,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":25504,"text":"wri004218 - 2000 - Factors affecting nutrient trends in major rivers of the Chesapeake Bay Watershed","interactions":[],"lastModifiedDate":"2012-02-02T00:08:23","indexId":"wri004218","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4218","title":"Factors affecting nutrient trends in major rivers of the Chesapeake Bay Watershed","docAbstract":"Trends in nutrient loads and flow-adjusted concentrations in the major rivers entering Chesapeake Bay were computed on the basis of water-quality data collected between 1985 and 1998 at 29 monitoring stations in the Susquehanna, Potomac, James, Rappahannock, York, Patuxent, and Choptank River Basins. Two computer models?the Chesapeake Bay Watershed Model (WSM) and the U.S. Geological Survey?s 'Spatially Referenced Regressions on Watershed attributes' (SPARROW) Model?were used to help explain the major factors affecting the trends. Results from WSM simulations provided information on temporal changes in contributions from major nutrient sources, and results from SPARROW model simulations provided spatial detail on the distribution of nutrient yields in these basins. Additional data on nutrient sources, basin characteristics, implementation of management practices, and ground-water inputs to surface water were analyzed to help explain the trends. The major factors affecting the trends were changes in nutrient sources and natural variations in streamflow. The dominant source of nitrogen and phosphorus from 1985 to 1998 in six of the seven tributary basins to Chesapeake Bay was determined to be agriculture. Because of the predominance of agricultural inputs, changes in agricultural nutrient sources such as manure and fertilizer, combined with decreases in agricultural acreage and implementation of best management practices (BMPs), had the greatest impact on the trends in flow-adjusted nutrient concentrations. Urban acreage and population, however, were noted to be increasing throughout the Chesapeake Bay Watershed, and as a result, delivered loads  of nutrients from urban areas increased during the study period. Overall, agricultural nutrient management, in combination with load decreases from point sources due to facility upgrades and the phosphate detergent ban, led to downward trends in flow-adjusted nutrient concentrations atmany of the monitoring stations in the watershed. The loads of nutrients, however, were not reduced significantly at most of the monitoring stations. This is due primarily to higher streamflow in the latter years of the monitoring period, which led to higher loading in those years.Results of this study indicate a need for more detailed information on BMP effectiveness under a full range of hydrologic conditions and in different areas of the watershed; an internally consistent fertilizer data set; greater consideration of the effects of watershed processes on nutrient transport; a refinement of current modeling efforts; and an expansion of the non-tidal monitoring network in the Chesapeake Bay Watershed.","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, U.S. Geological Survey ;\r\nBranch of Information Services [distributor],","doi":"10.3133/wri004218","usgsCitation":"Sprague, L.A., Langland, M., Yochum, S., Edwards, R.E., Blomquist, J., Phillips, S., Shenk, G., and Preston, S.D., 2000, Factors affecting nutrient trends in major rivers of the Chesapeake Bay Watershed: U.S. Geological Survey Water-Resources Investigations Report 2000-4218, vii, 109 p. :ill. (some col.), maps (some col.) ;28 cm., https://doi.org/10.3133/wri004218.","productDescription":"vii, 109 p. :ill. (some col.), maps (some col.) ;28 cm.","costCenters":[],"links":[{"id":1873,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri004218","linkFileType":{"id":5,"text":"html"}},{"id":157719,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a06e4b07f02db5f89ef","contributors":{"authors":[{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":193963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langland, M. J.","contributorId":36173,"corporation":false,"usgs":true,"family":"Langland","given":"M. J.","affiliations":[],"preferred":false,"id":193966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yochum, S.E.","contributorId":62242,"corporation":false,"usgs":true,"family":"Yochum","given":"S.E.","affiliations":[],"preferred":false,"id":193967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, R. E.","contributorId":92211,"corporation":false,"usgs":true,"family":"Edwards","given":"R.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":193968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blomquist, J. D. 0000-0002-0140-6534","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":20784,"corporation":false,"usgs":true,"family":"Blomquist","given":"J. D.","affiliations":[],"preferred":false,"id":193965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillips, S.W.","contributorId":6867,"corporation":false,"usgs":true,"family":"Phillips","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":193964,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shenk, G.W.","contributorId":106938,"corporation":false,"usgs":true,"family":"Shenk","given":"G.W.","affiliations":[],"preferred":false,"id":193970,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Preston, S. D.","contributorId":105770,"corporation":false,"usgs":true,"family":"Preston","given":"S.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":193969,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":30884,"text":"wri004249 - 2000 - Predevelopment water-level map of the Santa Fe Group aquifer system in the middle Rio Grande basin between Cochiti Lake and San Acacia, New Mexico","interactions":[],"lastModifiedDate":"2019-03-08T09:29:49","indexId":"wri004249","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4249","displayTitle":"Predevelopment Water-Level Map of the Santa Fe Group Aquifer System in the Middle Rio Grande Basin between Cochiti Lake and San Acacia, New Mexico","title":"Predevelopment water-level map of the Santa Fe Group aquifer system in the middle Rio Grande basin between Cochiti Lake and San Acacia, New Mexico","docAbstract":"<p>Because of its increasing population and limited water resources, the Middle&nbsp;Rio Grande Basin between Cochiti Lake and San Acacia, New Mexico, has recently&nbsp;become the subject of intense study. In particular, the U.S. Geological Survey&nbsp;(USGS) in cooperation with the City of Albuquerque has constructed a series of&nbsp;ground-water-flow models of the Tertiary and Quaternary basin-fill deposits of the&nbsp;Santa Fe Group aquifer system (Kernodle and Scott, 1986; Kernodle and others,&nbsp;1987; Kernodle and others, 1995; Kernodle, 1998; Tiedeman and others, 1998). The&nbsp;ground-water-flow system also has been the focus of hydrochemical studies and&nbsp;other efforts intended largely to help develop an improved flow model. Among the&nbsp;information critical to a thorough understanding of the ground-water-flow system&nbsp;are water-level data that indicate the directions of ground-water flow and the&nbsp;magnitudes of hydraulic gradients in the aquifer prior to perturbation by&nbsp;substantial ground-water withdrawals (under predevelopment conditions).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri004249","collaboration":"Prepared in cooperation with the City of Albuquerque","usgsCitation":"Bexfield, L.M., and Anderholm, S.K., 2000, Predevelopment water-level map of the Santa Fe Group aquifer system in the middle Rio Grande basin between Cochiti Lake and San Acacia, New Mexico: U.S. Geological Survey Water-Resources Investigations Report 2000-4249, 1 sheet: 34.50 x 23.50 inches, https://doi.org/10.3133/wri004249.","productDescription":"1 sheet: 34.50 x 23.50 inches","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":160551,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2000/4249/coverthb.jpg"},{"id":2791,"rank":300,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/wri/2000/4249/wri004249.pdf","text":"Report","size":"436 kB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 00–4249"}],"contact":"<p><a href=\"mailto:%20dc_nm@usgs.gov\" data-mce-href=\"mailto:%20dc_nm@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/nm-water\" data-mce-href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a><br>U.S. Geological Survey<br>6700 Edith Blvd NE<br><span class=\"locality\">Albuquerque</span>,&nbsp;<span class=\"state\">NM</span>&nbsp;<span class=\"postal-code\">87113</span></p>","tableOfContents":"<ul><li>Introduction</li><li>Data Sources and Compilation</li><li>Selection of Predevelopment Data</li><li>Methods of Contouring</li><li>Selected References</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67eae5","contributors":{"authors":[{"text":"Bexfield, Laura M. 0000-0002-1789-654X bexfield@usgs.gov","orcid":"https://orcid.org/0000-0002-1789-654X","contributorId":1273,"corporation":false,"usgs":true,"family":"Bexfield","given":"Laura","email":"bexfield@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":204271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderholm, Scott K.","contributorId":94270,"corporation":false,"usgs":true,"family":"Anderholm","given":"Scott","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":204272,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":24436,"text":"ofr2000314 - 2000 - Mapping Typha Domingensis in the Cienega de Santa Clara Using Satellite Images, Global Positioning System, and Spectrometry","interactions":[],"lastModifiedDate":"2012-02-02T00:08:12","indexId":"ofr2000314","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","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":"2000-314","title":"Mapping Typha Domingensis in the Cienega de Santa Clara Using Satellite Images, Global Positioning System, and Spectrometry","docAbstract":"The Cienega de Santa Clara, Sonora, Mexico, a brackish wetland area created near the delta of the Colorado River from drainage effluent flowing from the United States since 1977, may undergo changes owing to the operation of the Yuma Desalting Plant in the United States. This has become the largest wetland in the delta region containing rare and endangered species, yet little is known about the environmental impact of these changes. The water quality of the marsh is of growing concern to the Bureau of Reclamation (BOR) which operates the Desalting Plant. Consequently, the BOR solicited the U.S. Geological Survey to investigate the limits and usefulness of satellite, global positioning system (GPS), and spectra data to map the Typha domingensis (cattail) of the Cienega de Santa Clara.\r\n\r\nTypha domingensis was selected by the BOR as the Cienega de Santa Clara indicator species to best predict the environmental effects of effl uent from the Yuma Desalting Plant. The successful base mapping of Typha domingensis will provide a viable tool for long-term monitoring and stress detection in the Cienega de Santa Clara.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr2000314","issn":"0094-9140","usgsCitation":"Sanchez, R.D., Burnett, E.E., and Croxen, F., 2000, Mapping Typha Domingensis in the Cienega de Santa Clara Using Satellite Images, Global Positioning System, and Spectrometry: U.S. Geological Survey Open-File Report 2000-314, 18 p., https://doi.org/10.3133/ofr2000314.","productDescription":"18 p.","numberOfPages":"12","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":156326,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2000/0314/report-thumb.jpg"},{"id":53512,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2000/0314/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b0ce4b07f02db69e2a1","contributors":{"authors":[{"text":"Sanchez, Richard D.","contributorId":66296,"corporation":false,"usgs":true,"family":"Sanchez","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":191920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burnett, Earl E.","contributorId":38188,"corporation":false,"usgs":true,"family":"Burnett","given":"Earl","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":191919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Croxen, Fred","contributorId":73242,"corporation":false,"usgs":true,"family":"Croxen","given":"Fred","email":"","affiliations":[],"preferred":false,"id":191921,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":29968,"text":"wri004130 - 2000 - Trends in precipitation and streamflow and changes in stream morphology in the Fountain Creek watershed, Colorado, 1939-99","interactions":[],"lastModifiedDate":"2022-09-19T18:37:44.271355","indexId":"wri004130","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4130","title":"Trends in precipitation and streamflow and changes in stream morphology in the Fountain Creek watershed, Colorado, 1939-99","docAbstract":"The Fountain Creek watershed, located in and along the eastern slope of the Front Range section of the southern Rocky Mountains, drains approximately 930 square miles of parts of Teller, El Paso, and Pueblo Counties in eastern Colorado. Streamflow in the watershed is dominated by spring snowmelt runoff and storm runoff during the summer monsoon season. Flooding during the 1990?s has resulted in increased streambank erosion. Property loss and damage associated with flooding and bank erosion has cost area residents, businesses, utilities, municipalities, and State and Federal agencies millions of dollars. Precipitation (4 stations) and streamflow (6 stations) data, aerial photographs, and channel reconnaissance were used to evaluate trends in precipitation and streamflow and changes in channel morphology. Trends were evaluated for pre-1977, post-1976, and period-of-record time periods. Analysis revealed the lack of trend in total annual and seasonal precipitation during the pre-1977 time period. In general, the analysis also revealed the lack of trend in seasonal precipitation for all except the spring season during the post-1976 time period. Trend analysis revealed a significant upward trend in long-term (period of record) total annual and spring precipitation data, apparently due to a change in total annual precipitation throughout the Fountain Creek watershed. During the pre-1977 time period, precipitation was generally below average; during the post- 1976 time period, total annual precipitation was generally above average. During the post- 1976 time period, an upward trend in total annual and spring precipitation was indicated at two stations. Because two of four stations evaluated had upward trends for the post-1976 period and storms that produce the most precipitation are isolated convection storms, it is plausible that other parts of the watershed had upward precipitation trends that could affect trends in streamflow. Also, because of the isolated nature of convection storms that hit some areas of the watershed and not others, it is difficult to draw strong conclusions on relations between streamflow and precipitation. Trends in annual instantaneous peak streamflow, 70th percentile, 90th percentile, maximum daily-mean streamflow (100th percentile), 7-, 14-, and 30-day high daily-mean stream- flow duration, minimum daily-mean streamflow (0th percentile), 10th percentile, 30th percentile, and 7-, 14-, 30-day low daily-mean streamflow duration were evaluated. In general, instantaneous peak streamflow has not changed significantly at most of the stations evaluated. Trend analysis revealed the lack of a significant upward trend in streamflow at all stations for the pre-1977 time period. Trend tests indicated a significant upward trend in high and low daily-mean streamflow statistics for the post-1976 period. Upward trends in high daily-mean streamflow statistics may be an indication that changes in land use within the watershed have increased the rate and magnitude of runoff. Upward trends in low daily-mean 2 Trends in Precipitation and Streamflow and Changes in Stream Morphology in the Fountain Creek Watershed, Colorado, 1939-99 streamflow statistics may be related to changes in water use and management. An analysis of the relation between streamflow and precipitation indicated that changes in water management have had a marked effect on streamflow. Observable change in channel morphology and changes in distribution and density of vegetation varied with magnitude, duration, and frequency of large streamflow events, and increases in the magnitude and duration of low streamflows. Although more subtle, low stream- flows were an important component of day-to-day channel erosion. Substantial changes in channel morphology were most often associated with infrequent large or catastrophic streamflow events that erode streambed and banks, alter stream course, and deposit large amounts of sediment in the flood plain.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri004130","usgsCitation":"Stogner, 2000, Trends in precipitation and streamflow and changes in stream morphology in the Fountain Creek watershed, Colorado, 1939-99: U.S. Geological Survey Water-Resources Investigations Report 2000-4130, v, 43 p., https://doi.org/10.3133/wri004130.","productDescription":"v, 43 p.","costCenters":[],"links":[{"id":160489,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":406992,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_33858.htm","linkFileType":{"id":5,"text":"html"}},{"id":2433,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri00-4130","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"Fountain Creek watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105,\n              38.264\n            ],\n            [\n              -104.5,\n              38.264\n            ],\n            [\n              -104.5,\n              39.083\n            ],\n            [\n              -105,\n              39.083\n            ],\n            [\n              -105,\n              38.264\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db625a60","contributors":{"authors":[{"text":"Stogner 0000-0002-3185-1452 rstogner@usgs.gov","orcid":"https://orcid.org/0000-0002-3185-1452","contributorId":938,"corporation":false,"usgs":true,"family":"Stogner","email":"rstogner@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":202452,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":30878,"text":"wri004232 - 2000 - Statistical identification of hydrochemical response units for hydrologic monitoring and modeling in Maryland","interactions":[],"lastModifiedDate":"2012-02-02T00:09:08","indexId":"wri004232","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4232","title":"Statistical identification of hydrochemical response units for hydrologic monitoring and modeling in Maryland","docAbstract":"In support of Maryland's efforts to develop statewide water-quality management plans, a statistical analysis was performed to identify a set of representative and relatively homogeneous areas referred to as Hydrochemical Response Units (HRUs). The State intends to select representative areas within each hydrochemical response unit for monitoring and model development, and then apply the model to the entire unit. To identify hydrochemical response units, cluster analysis was applied to 1,136 digitally defined watershed units. Basin characteristics including land cover, soil type, slope, and geology were determined for each watershed unit and a clustering algorithm was applied to the data sets. A total of 11 hydrochemical response units were identified by the analysis. Major features that were important in distinguishing different areas of the state include: 1) upland and lowland Coastal Plain settings, 2) igneous, shale, and carbonate geology; and 3) urban land cover. The hydrochemical response units described in this report are considered to be an initial classification of watersheds in Maryland that can be refined as geographic data sets are improved and additional hydrologic data are collected. ","language":"ENGLISH","doi":"10.3133/wri004232","usgsCitation":"Preston, S.D., 2000, Statistical identification of hydrochemical response units for hydrologic monitoring and modeling in Maryland: U.S. Geological Survey Water-Resources Investigations Report 2000-4232, 7 p., https://doi.org/10.3133/wri004232.","productDescription":"7 p.","costCenters":[],"links":[{"id":2787,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://md.water.usgs.gov/publications/wrir-00-4232/ ","linkFileType":{"id":5,"text":"html"}},{"id":160529,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fa8b7","contributors":{"authors":[{"text":"Preston, S. D.","contributorId":105770,"corporation":false,"usgs":true,"family":"Preston","given":"S.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":204263,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":31190,"text":"ofr00477 - 2000 - Description of piezometers installed in the middle Rio Grande basin area, 1997-99, central New Mexico","interactions":[],"lastModifiedDate":"2012-02-02T00:09:07","indexId":"ofr00477","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","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":"2000-477","title":"Description of piezometers installed in the middle Rio Grande basin area, 1997-99, central New Mexico","docAbstract":"Since 1993, the Santa Fe Group aquifer system in the Middle Rio \r\nGrande Basin, and particularly in the Albuquerque area, has been the \r\nfocus of studies to further define the extent of the most productive \r\nparts of the aquifer and to gain a better understanding of how ground-\r\nwater levels are changing over time. The U.S. Geological Survey, in \r\ncooperation with the New Mexico Office of the State Engineer, \r\ninstalled nine piezometers during 1998-99 at five sites in and near \r\nthe margin of the Middle Rio Grande Basin in central New \r\nMexico. In addition, the New Mexico Office of the State \r\nEngineer installed another nine piezometers at three sites during \r\n1997. These piezometers allow for collection of ground-water-level \r\ndata in areas for which little information is available. Most of \r\nthe piezometers were constructed of 2.5-inch-diameter flush-joint \r\npolyvinyl chloride (PVC) schedule 80 casing with 10-foot stainless\r\nsteel screens; the shallow piezometer at the Tome site has a \r\n40-foot screen, and the single piezometers at the Dome Road and \r\nPhoenix Road sites have steel casing with welded joints and a \r\n10- and a 20-foot screen, respectively. Steel casing with a \r\nlocking lid covers the uppermost 2 feet of the piezometer casing. \r\nDrillers' logs and petrophysical logs were collected from the \r\ndeepest borehole at each site.","language":"ENGLISH","doi":"10.3133/ofr00477","usgsCitation":"Bartolino, J., and Rankin, D., 2000, Description of piezometers installed in the middle Rio Grande basin area, 1997-99, central New Mexico: U.S. Geological Survey Open-File Report 2000-477, 29 p., https://doi.org/10.3133/ofr00477.","productDescription":"29 p.","costCenters":[],"links":[{"id":160850,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2000/0477/report-thumb.jpg"},{"id":59699,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2000/0477/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aafe4b07f02db66cae0","contributors":{"authors":[{"text":"Bartolino, J. R.","contributorId":72417,"corporation":false,"usgs":true,"family":"Bartolino","given":"J. R.","affiliations":[],"preferred":false,"id":205280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rankin, D.R.","contributorId":28991,"corporation":false,"usgs":true,"family":"Rankin","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":205279,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":22931,"text":"ofr00329 - 2000 - Summary of precipitation data for the Black Hills area of South Dakota, water years 1931-98","interactions":[],"lastModifiedDate":"2012-02-02T00:07:51","indexId":"ofr00329","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","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":"2000-329","title":"Summary of precipitation data for the Black Hills area of South Dakota, water years 1931-98","docAbstract":"Long-term precipitation records are sum-marized for the Black Hills area of South Dakota. Precipitation data are available for numerous gaging locations; however, few gages have continuous, long-term records, and periods of missing record are common. Thus, a geographic information system (GIS) utilizing an inverse-distance weighting method was developed to generate spatial precipitation distributions from point precipitation data for the Black Hills area, based on available monthly records. The spatial distributions were used to estimate periods of missing record for all 94 gages considered. The resulting monthly records of measured and estimated precipitation are tabulated for water years 1931-98. Average values for water years 1961-90, which is the period used for calculation of climatic normals, were used to develop an isohyetal map of normal annual precipitation for the Black Hills area.\r\n\r\nTemporal trends in precipitation for the Black Hills area also were examined. Sustained periods of deficit precipitation occurred during 1931-40 and 1948-61. Sustained periods of surplus precipitation occurred during 1941-47, 1962-68, and 1991-98, with the late 1990's identified as the wettest period since 1931. The driest 30-year period was 1931-60, when annual precipitation averaged 17.17 inches for the study area. The wettest 30-year period was 1969-98, when annual precipitation averaged 19.61 inches. Normal annual precipitation (1961-90) for the study area is 19.06 inches, compared with the long-term (1931-98) annual average of 18.61 inches. Annual extremes for the study area have ranged from 10.22 inches in water year 1936 to 27.39 inches in water year 1995.","language":"ENGLISH","publisher":"U.S. Department of the Interior, U.S. Geological Survey ;\r\nBranch of Information Services [distributor],","doi":"10.3133/ofr00329","issn":"0094-9140","usgsCitation":"Driscoll, D.G., Hamade, G.R., and Kenner, S.J., 2000, Summary of precipitation data for the Black Hills area of South Dakota, water years 1931-98: U.S. Geological Survey Open-File Report 2000-329, iii, 151 p. :ill., maps ;28 cm., https://doi.org/10.3133/ofr00329.","productDescription":"iii, 151 p. :ill., maps ;28 cm.","costCenters":[],"links":[{"id":153566,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":1378,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ofr00-329/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697c24","contributors":{"authors":[{"text":"Driscoll, Daniel G. dgdrisco@usgs.gov","contributorId":1558,"corporation":false,"usgs":true,"family":"Driscoll","given":"Daniel","email":"dgdrisco@usgs.gov","middleInitial":"G.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":189150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamade, Ghaith R.","contributorId":20774,"corporation":false,"usgs":true,"family":"Hamade","given":"Ghaith","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":189152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kenner, Scott J.","contributorId":6472,"corporation":false,"usgs":true,"family":"Kenner","given":"Scott","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":189151,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":31168,"text":"ofr00347 - 2000 - 1890 and 1990 Bathymetry of Florida Bay","interactions":[],"lastModifiedDate":"2025-04-23T16:01:21.570992","indexId":"ofr00347","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","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":"2000-0347","title":"1890 and 1990 Bathymetry of Florida Bay","docAbstract":"<p>This Open File Report contains bathymetric data collected in Florida Bay by the US Geological Survey, South Florida Place-Based Studies Program using SANDS (System for Accurate Nearshore Depth Surveying). SANDS is a USGS developed, high precision bathymetric system which integrates depth soundings, boat motion, and GPS positioning needed for nearshore bathymetric mapping. Data acquisition occurred between 1995 and 1999 on a 22' shallow draft boat. Processed data points are in X, Y, Z format and relative to the North American Datum of 1983 (GRS80/NAD83) and the North American Vertical Datum of 1988 (NAVD88). Vertical control was derived from GPS data processed with Jet Propulsion Laboratory GIPSY software. Horizontal and vertical accuracies are within +/- 4 centimeters and +/- 8 centimeters, respectively.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr00347","isbn":"0607955457","usgsCitation":"1890 and 1990 Bathymetry of Florida Bay; 2000; OFR; 2000-347; Hansen, Mark; DeWitt, Nancy T.","productDescription":"HTML Document","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":161019,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2000/0347/coverthb.jpg"},{"id":2675,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2000/0347/index.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Florida Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.2893735478387,\n              25.378087761326483\n            ],\n            [\n              -81.60695738630159,\n              25.378087761326483\n            ],\n            [\n              -81.60695738630159,\n              24.522191015352064\n            ],\n            [\n              -80.2893735478387,\n              24.522191015352064\n            ],\n            [\n              -80.2893735478387,\n              25.378087761326483\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/car-fl-water\" data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>3321 College Avenue<br>Davie, FL 33314</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishedDate":"2000-10-01","noUsgsAuthors":false,"publicationDate":"2000-10-01","publicationStatus":"PW","scienceBaseUri":"53cd490fe4b0b290850eed7f","contributors":{"authors":[{"text":"Hansen, Mark","contributorId":81893,"corporation":false,"usgs":true,"family":"Hansen","given":"Mark","affiliations":[],"preferred":false,"id":205205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeWitt, Nancy T. 0000-0002-2419-4087 ndewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2419-4087","contributorId":4095,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","email":"ndewitt@usgs.gov","middleInitial":"T.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":205204,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":23225,"text":"ofr2000468 - 2000 - Chemical-Help Application for Classification and Identification of Stormwater Constituents","interactions":[],"lastModifiedDate":"2012-03-08T17:16:14","indexId":"ofr2000468","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","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":"2000-468","title":"Chemical-Help Application for Classification and Identification of Stormwater Constituents","docAbstract":"A computer application called Chemical\r\nHelp was developed to facilitate review of reports\r\nfor the National Highway Runoff Water-Quality\r\nData and Methodology Synthesis (NDAMS). The\r\napplication provides a tool to quickly find a proper\r\nclassification for any constituent in the NDAMS\r\nreview sheets. Chemical Help contents include the\r\nname of each water-quality property, constituent,\r\nor parameter, the section number within the\r\nNDAMS review sheet, the organizational levels\r\nwithin a classification hierarchy, the database\r\nnumber, and where appropriate, the chemical\r\nformula, the Chemical Abstract Service number,\r\nand a list of synonyms (for the organic chemicals).\r\nTherefore, Chemical Help provides information\r\nnecessary to research available reference data for\r\nthe water-quality properties and constituents of\r\npotential interest in stormwater studies. Chemical\r\nHelp is implemented in the Microsoft help-system\r\ninterface. (Computer files for the use and\r\ndocumentation of Chemical Help are included on\r\nan accompanying diskette.)","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr2000468","issn":"0094-9140","collaboration":"Prepared in cooperation with the Federal Highway Administration (A Contribution to the National Highway Runoff Data and Methodology Synthesis)","usgsCitation":"Granato, G., Driskell, T.R., and Nunes, C., 2000, Chemical-Help Application for Classification and Identification of Stormwater Constituents: U.S. Geological Survey Open-File Report 2000-468, vi, 10 p., https://doi.org/10.3133/ofr2000468.","productDescription":"vi, 10 p.","onlineOnly":"Y","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":1381,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://ma.water.usgs.gov/fhwa/products/ofr00468.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":155210,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9507,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2000/ofr00-468/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abce4b07f02db672cc1","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":1692,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","email":"ggranato@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":189674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driskell, Timothy R.","contributorId":60676,"corporation":false,"usgs":true,"family":"Driskell","given":"Timothy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":189675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nunes, Catherine","contributorId":77958,"corporation":false,"usgs":true,"family":"Nunes","given":"Catherine","email":"","affiliations":[],"preferred":false,"id":189676,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}