No abstract available.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051371","usgsCitation":"Duval, J.S., 2005, Aerial gamma-ray, Landsat TM, and digital elevation data, Big Bend area, Texas: U.S. Geological Survey Open-File Report 2005-1371, HTML Document, https://doi.org/10.3133/ofr20051371.","productDescription":"HTML Document","costCenters":[],"links":[{"id":191717,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":394921,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_74492.htm"},{"id":7400,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1371/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","otherGeospatial":"Big Bend area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.74664306640625,\n 28.9913248161703\n ],\n [\n -102.89794921875,\n 28.9913248161703\n ],\n [\n -102.89794921875,\n 29.76914573606667\n ],\n [\n -103.74664306640625,\n 29.76914573606667\n ],\n [\n -103.74664306640625,\n 28.9913248161703\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b03e4b07f02db698e60","contributors":{"authors":[{"text":"Duval, Joseph S.","contributorId":22314,"corporation":false,"usgs":true,"family":"Duval","given":"Joseph","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":286132,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":72825,"text":"pp1709C - 2005 - Thermobarometric constraints on mid-Cretaceous to late Cretaceous metamorphic events in the western metamorphic belt of the Coast Mountains complex near Petersburg, southeastern Alaska","interactions":[],"lastModifiedDate":"2012-02-02T00:13:55","indexId":"pp1709C","displayToPublicDate":"2006-01-02T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1709","chapter":"C","title":"Thermobarometric constraints on mid-Cretaceous to late Cretaceous metamorphic events in the western metamorphic belt of the Coast Mountains complex near Petersburg, southeastern Alaska","docAbstract":"The western metamorphic belt is part of the Coast Mountains Complex of southeastern Alaska and western Canada. This complex formed as a result of mid-Cretaceous through middle Eocene crustal shortening between the previously amalgamated Wrangellia and Alexander terranes (Insular superterrane) and previously accreted terranes of the North American continental margin (Intermontane superterrane). The western metamorphic belt, which ranges from a few kilometers to several tens of kilometers in width, records a complex sequence of contact-metamorphic and regional metamorphic events, the most significant of which are designated M1R, M2C-R, and M3R. The M1R regional metamorphic event ranged in grade from subgreenschist to greenschist facies and was overprinted by the M2C-R and M3R metamorphic\r\nevents. The M2C-R metamorphic event is recorded in discrete contact-metamorphic aureoles and regional metamorphic-mineral assemblages related to tonalite-granodiorite plutons of the Admiralty-Revillagigedo plutonic belt. The M3R metamorphic belt, which is adjacent to the M2C-R belt, is characterized by regional Barrovian isograds of garnet, staurolite, kyanite, and sillimanite. Using the THERMOCALC program, pressure-temperature (P-T) conditions for the M2C-R metamorphic event are estimated to be in the ranges 5.3-7.5 kbars and 525-640 deg.C and for the M3R metamorphic event in the ranges 9.4-12.6 kbars and 730-895 deg.C. The M2C-R metamorphic event occurred at approximately 90 Ma, but the timing of the M3R metamorphic event is poorly documented and uncertain. On the basis of an 40Ar/39Ar age on actinolitic amphibole and a Sm-Nd age on garnet core, the timing of metamorphism might be constrained between 90+/-1 and 80+/-9 Ma, although the Sm-Nd age of 80+/-9 m.y. possibly reflects postpeak growth. Thermobarometric data suggest that the two events occurred at different crustal levels and followed different P-T paths. No evidence exists that M2C-R metamorphic-mineral assemblages were overprinted by the M3R metamorphic event, as proposed by some workers. Juxtaposition of the two belts of rocks probably occurred along the Coast shear zone during uplift and exhumation of the Coast Mountains.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, 2004","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","doi":"10.3133/pp1709C","usgsCitation":"Himmelberg, G.R., and Brew, D.A., 2005, Thermobarometric constraints on mid-Cretaceous to late Cretaceous metamorphic events in the western metamorphic belt of the Coast Mountains complex near Petersburg, southeastern Alaska: U.S. Geological Survey Professional Paper 1709, 18 p., https://doi.org/10.3133/pp1709C.","productDescription":"18 p.","numberOfPages":"18","onlineOnly":"Y","costCenters":[],"links":[{"id":191142,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7461,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/pp1709c/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fad79","contributors":{"authors":[{"text":"Himmelberg, Glen R.","contributorId":57921,"corporation":false,"usgs":true,"family":"Himmelberg","given":"Glen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":286201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brew, David A. dbrew@usgs.gov","contributorId":3244,"corporation":false,"usgs":true,"family":"Brew","given":"David","email":"dbrew@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":286200,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":72810,"text":"ofr20051354 - 2005 - Compilation of concentrations of total selenium in water, coal in bottom material, and field measurement data for selected streams in eastern Kentucky, July 1980","interactions":[],"lastModifiedDate":"2012-02-02T00:13:57","indexId":"ofr20051354","displayToPublicDate":"2006-01-02T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1354","title":"Compilation of concentrations of total selenium in water, coal in bottom material, and field measurement data for selected streams in eastern Kentucky, July 1980","language":"ENGLISH","doi":"10.3133/ofr20051354","usgsCitation":"Downing-Kunz, M., Unthank, M.D., and Crain, A.S., 2005, Compilation of concentrations of total selenium in water, coal in bottom material, and field measurement data for selected streams in eastern Kentucky, July 1980: U.S. Geological Survey Open-File Report 2005-1354, iv, 11 p., https://doi.org/10.3133/ofr20051354.","productDescription":"iv, 11 p.","numberOfPages":"15","costCenters":[],"links":[{"id":191390,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7407,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1354/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ee4b07f02db6aa02d","contributors":{"authors":[{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":57552,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen A.","affiliations":[],"preferred":false,"id":286146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Unthank, Michael D. 0000-0003-2483-0431 munthank@usgs.gov","orcid":"https://orcid.org/0000-0003-2483-0431","contributorId":3902,"corporation":false,"usgs":true,"family":"Unthank","given":"Michael","email":"munthank@usgs.gov","middleInitial":"D.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crain, Angela S. 0000-0003-0969-6238 ascrain@usgs.gov","orcid":"https://orcid.org/0000-0003-0969-6238","contributorId":3090,"corporation":false,"usgs":true,"family":"Crain","given":"Angela","email":"ascrain@usgs.gov","middleInitial":"S.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286144,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":96199,"text":"96199 - 2005 - Handbook of capture-recapture analysis","interactions":[{"subject":{"id":70186644,"text":"70186644 - 2005 - Introduction to the handbook","indexId":"70186644","publicationYear":"2005","noYear":false,"chapter":"1","title":"Introduction to the handbook"},"predicate":"IS_PART_OF","object":{"id":96199,"text":"96199 - 2005 - Handbook of capture-recapture analysis","indexId":"96199","publicationYear":"2005","noYear":false,"title":"Handbook of capture-recapture analysis"},"id":1},{"subject":{"id":70186649,"text":"70186649 - 2005 - Capture-recapture methods in practice","indexId":"70186649","publicationYear":"2005","noYear":false,"chapter":"10","title":"Capture-recapture methods in practice"},"predicate":"IS_PART_OF","object":{"id":96199,"text":"96199 - 2005 - Handbook of capture-recapture analysis","indexId":"96199","publicationYear":"2005","noYear":false,"title":"Handbook of capture-recapture analysis"},"id":2},{"subject":{"id":70186650,"text":"70186650 - 2005 - Examples","indexId":"70186650","publicationYear":"2005","noYear":false,"chapter":"9","title":"Examples"},"predicate":"IS_PART_OF","object":{"id":96199,"text":"96199 - 2005 - Handbook of capture-recapture analysis","indexId":"96199","publicationYear":"2005","noYear":false,"title":"Handbook of capture-recapture analysis"},"id":3}],"lastModifiedDate":"2017-08-29T18:16:14","indexId":"96199","displayToPublicDate":"2006-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":13,"text":"Handbook"},"title":"Handbook of capture-recapture analysis","docAbstract":"Every day, biologists in parkas, raincoats, and rubber boots go into the field to capture and mark a variety of animal species. Back in the office, statisticians create analytical models for the field biologists' data. But many times, representatives of the two professions do not fully understand one another's roles. This book bridges this gap by helping biologists understand state-of-the-art statistical methods for analyzing capture-recapture data. In so doing, statisticians will also become more familiar with the design of field studies and with the real-life issues facing biologists.
Reliable outcomes of capture-recapture studies are vital to answering key ecological questions. Is the population increasing or decreasing? Do more or fewer animals have a particular characteristic? In answering these questions, biologists cannot hope to capture and mark entire populations. And frequently, the populations change unpredictably during a study. Thus, increasingly sophisticated models have been employed to convert data into answers to ecological questions. This book, by experts in capture-recapture analysis, introduces the most up-to-date methods for data analysis while explaining the theory behind those methods. Thorough, concise, and portable, it will be immensely useful to biologists, biometricians, and statisticians, students in both fields, and anyone else engaged in the capture-recapture process.
","language":"English","publisher":"Princeton University Press","publisherLocation":"Princeton, NJ","isbn":"9781400837717","usgsCitation":"2005, Handbook of capture-recapture analysis, xviii, 313 p.","productDescription":"xviii, 313 p.","numberOfPages":"336","costCenters":[{"id":106,"text":"Alaska Biological Science Center","active":false,"usgs":true}],"links":[{"id":127623,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339341,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://press.princeton.edu/titles/8109.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae5e4b07f02db68a57f","contributors":{"editors":[{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":505671,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"McDonald, Trent L.","contributorId":92193,"corporation":false,"usgs":false,"family":"McDonald","given":"Trent","email":"","middleInitial":"L.","affiliations":[{"id":6660,"text":"Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":505672,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Manly, Bryan F.J.","contributorId":41770,"corporation":false,"usgs":true,"family":"Manly","given":"Bryan","email":"","middleInitial":"F.J.","affiliations":[],"preferred":false,"id":505670,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}} ,{"id":70205270,"text":"70205270 - 2005 - Upper Auglaize watershed AGNPS modeling project","interactions":[],"lastModifiedDate":"2019-09-10T16:49:35","indexId":"70205270","displayToPublicDate":"2005-12-31T16:26:14","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":251,"text":"Final Report","active":false,"publicationSubtype":{"id":4}},"title":"Upper Auglaize watershed AGNPS modeling project","docAbstract":"The Upper Auglaize Watershed agricultural non-point source modeling project was an interagency effort to use a Geographic Information System (GIS)-based modeling approach for assessing and reducing pollution from agricultural runoff and other non-point sources. This project applied the U.S. Department of Agriculture (USDA), Agricultural Research Service’s AGricultural Non-Point Source (AGNPS) suite of models to the Upper Auglaize River Watershed, a major watershed within the Maumee River Basin. This modeling project was conducted by an interagency team consisting of a partnership between the: (1) USDA, Agricultural Research Service (ARS); (2) USDA, Natural Resources Conservation Service (NRCS); (3) U.S. Army Corps of Engineers (USACE); (4) U.S. Geological Survey (USGS); (5) Ohio State University; (6) University of Toledo (UT); (7) Heidelberg College; (8) Ohio Department of Natural Resources (ODNR), Division of Soil and Water Conservation; (9) Ohio Environmental Protection Agency (OEPA); and (10) Allen, Auglaize, Van Wert, and Putnam Soil and Water Conservation Districts. The partnership was the first step in a process to eventually apply the model in a portioned subset of watersheds for the Maumee Basin, and then to link them to form a comprehensive basin-wide model This work was performed under the authority of Section 516(e) of the Water Resources Development Act (WRDA) of 1996, as amended, for the purpose of assisting State and local watershed managers with their evaluation, prioritization and implementation of alternatives for soil conservation, sediment trapping and non-point source pollution prevention in the Upper Auglaize River watershed.
The project team, working in a cooperative effort, used the models to determine sediment sources, contributing locations, and the effect of application of best management practices (BMPs) on rates of sediment delivery to the mouth of the watershed. The results will be used to guide conservation incentive and land treatment programs. The team relied heavily on Geographic Information System (GIS)-based applications to expedite the application of the model.
The results of the analysis demonstrated that the application of BMPs would have a positive effect on reducing the loadings of sediment leaving the mouth of the Upper Auglaize Watershed. An application of 17 percent new no-till acres and eight percent new grassland acres, when randomly applied to the watershed, reduced loadings at the mouth to 82 percent of the simulated existing condition loadings. No-till, conversion of cropland to grassland, other uses including grass buffers, and reforestation of parts of the watershed, were all shown by the model to have a measurable effect on reducing sediment loads. Conversion of all of the cropland in the watershed to no-till would reduce the average unit load (tons of sediment per acre) leaving the mouth of the watershed to a level that is 42 percent of the simulated existing condition load.
Ephemeral gullies were found to be the primary source of erosion (72 percent), sediment yield (73 percent), and sediment loading (73 percent). Controlling sediment load means controlling gully erosion and possibly trapping sediment yield before it reaches the stream system. Most BMPs (e.g., no-till, conversion of cropland, etc.) that reduce sheet and rill erosion and its sediment yield will also reduce gully erosion and its sediment yield. However, grassed waterways, which have no effect on sheet and rill erosion, are frequently an effective BMP to prevent ephemeral gullies. And, of course, riparian vegetation and sediment traps would reduce the delivery ratios of all types of landscape erosion.
New techniques were developed by the team to quantify the ephemeral gully erosion within the model. When calibrated to available stream gage data the model suggests that more (73% in the existing condition simulation) of the sediment load originates from ephemeral gully erosion than from traditional sheet and rill erosion. The model quantified the value of tile drainage in reducing the sediment load from the watershed. Loadings under drained conditions were always less than loadings under undrained conditions for otherwise identical land uses. The average sediment load of all alternatives for drained loadings was 89.2 percent of the load for the corresponding undrained loadings. The model established that while many conservation incentive programs treat tile drainage as a production practice, significant erosion and sediment control benefits are provided by the practice in comparison to cultivation in an undrained state.
","language":"English","publisher":"U. S. Department of Agriculture","usgsCitation":"Bingner, R.L., Czajkowski, K., Palmer, M., Coss, J., Davis, S., Stafford, J., Wideman, N., Theurer, F.D., Koltun, G.F., Richards, P., and Friona, T., 2005, Upper Auglaize watershed AGNPS modeling project: Final Report, vii, 68 p.","productDescription":"vii, 68 p.","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":367336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367334,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nrcs.usda.gov/wps/portal/nrcs/oh/water/watersheds/nrcs144p2_029494/"}],"country":"United States","state":"Ohio","otherGeospatial":"Auglaize River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.53979492187499,\n 40.13269100586688\n ],\n [\n -83.7432861328125,\n 40.13269100586688\n ],\n [\n -83.7432861328125,\n 40.79717741518766\n ],\n [\n -84.53979492187499,\n 40.79717741518766\n ],\n [\n -84.53979492187499,\n 40.13269100586688\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bingner, Ronald L.","contributorId":152469,"corporation":false,"usgs":false,"family":"Bingner","given":"Ronald","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":770615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Czajkowski, Kevin","contributorId":218878,"corporation":false,"usgs":false,"family":"Czajkowski","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":770616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmer, Michael","contributorId":218879,"corporation":false,"usgs":false,"family":"Palmer","given":"Michael","email":"","affiliations":[],"preferred":false,"id":770617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coss, James","contributorId":218880,"corporation":false,"usgs":false,"family":"Coss","given":"James","email":"","affiliations":[],"preferred":false,"id":770618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Steve","contributorId":218881,"corporation":false,"usgs":false,"family":"Davis","given":"Steve","email":"","affiliations":[],"preferred":false,"id":770619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stafford, Jim","contributorId":218882,"corporation":false,"usgs":false,"family":"Stafford","given":"Jim","email":"","affiliations":[],"preferred":false,"id":770620,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wideman, Norm","contributorId":218883,"corporation":false,"usgs":false,"family":"Wideman","given":"Norm","email":"","affiliations":[],"preferred":false,"id":770621,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Theurer, Fred D.","contributorId":41699,"corporation":false,"usgs":true,"family":"Theurer","given":"Fred","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":770622,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Koltun, G. F. 0000-0003-0255-2960 gfkoltun@usgs.gov","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":140048,"corporation":false,"usgs":true,"family":"Koltun","given":"G.","email":"gfkoltun@usgs.gov","middleInitial":"F.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":770623,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Richards, Pete","contributorId":218884,"corporation":false,"usgs":false,"family":"Richards","given":"Pete","email":"","affiliations":[],"preferred":false,"id":770624,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Friona, Tony","contributorId":218885,"corporation":false,"usgs":false,"family":"Friona","given":"Tony","email":"","affiliations":[],"preferred":false,"id":770625,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70180922,"text":"70180922 - 2005 - Miocene rapakivi granites in the southern Death Valley region, California, USA","interactions":[],"lastModifiedDate":"2021-03-29T18:29:17.048223","indexId":"70180922","displayToPublicDate":"2005-12-31T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Miocene rapakivi granites in the southern Death Valley region, California, USA","docAbstract":"Rapakivi granites in the southern Death Valley region, California, include the 12.4-Ma granite of Kingston Peak, the ca. 10.6-Ma Little Chief stock, and the 9.8-Ma Shoshone pluton. All of these granitic rocks are texturally zoned from a porphyritic rim facies, characterized by rapakivi textures and miarolitic cavities, to an equigranular aplite core. These granites crystallized from anhydrous and peraluminous to metaluminous magmas that were more oxidized and less alkalic than type rapakivi granites from southern Finland. Chemical and isotope (Nd–Sr–Pb) data suggest that rapakivi granites of the southern Death Valley region were derived by partial melting of lower crustal rocks (possibly including Mesozoic plutonic component) with some mantle input as well; they were emplaced at shallow crustal levels (4 km) in an actively extending orogen.
","language":"English","publisher":"Elsevier","publisherLocation":"New York","doi":"10.1016/j.earscirev.2005.07.006","usgsCitation":"Calzia, J.P., and Ramo, O., 2005, Miocene rapakivi granites in the southern Death Valley region, California, USA: Earth-Science Reviews, v. 73, no. 1-4, p. 221-243, https://doi.org/10.1016/j.earscirev.2005.07.006.","productDescription":"23 p.","startPage":"221","endPage":"243","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":334951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Death Valley region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.03759765625,\n 36.04465753921525\n ],\n [\n -117.98217773437499,\n 37.592471511019085\n ],\n [\n -118.08654785156249,\n 36.752089156946326\n ],\n [\n -117.33947753906249,\n 35.808904044068626\n ],\n [\n -116.48254394531249,\n 35.59925232772949\n ],\n [\n -116.06506347656251,\n 35.79108281624994\n ],\n [\n -116.03759765625,\n 36.04465753921525\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"589c3c3fe4b0efcedb741078","contributors":{"authors":[{"text":"Calzia, James P. jcalzia@usgs.gov","contributorId":2801,"corporation":false,"usgs":true,"family":"Calzia","given":"James","email":"jcalzia@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":662847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramo, O.T.","contributorId":15067,"corporation":false,"usgs":true,"family":"Ramo","given":"O.T.","affiliations":[],"preferred":false,"id":662848,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":79004,"text":"wdrNY041 - 2005 - Water Resources Data New York Water Year 2004, Volume 1: Eastern New York Excluding Long Island","interactions":[],"lastModifiedDate":"2019-06-05T09:42:36","indexId":"wdrNY041","displayToPublicDate":"2005-12-31T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"NY-04-1","title":"Water Resources Data New York Water Year 2004, Volume 1: Eastern New York Excluding Long Island","docAbstract":"Water resources data for the 2004 water year for Eastern New York Excluding Long Island consist of records of stage, discharge, and water quality of streams; stage, contents, and water quality of lakes and reservoirs; and ground-water levels. This volume contains records for water discharge at 150 gaging stations; stage only at 8 gaging stations; stage and contents at 4 gaging stations, and 18 other lakes and reservoirs; water quality at 29 gaging stations; and water levels at 21 observation wells. Also included are data for 31 crest-stage partial-record stations. Locations of all these sites are shown on figue 8. Additional water data were collected at various sites not involved in the systematic data-collection program, and are published as miscellaneous measurements and analyses. These data together with the data in volumes 2 and 3 represent that part of the National Water Data System operated by the U.S. Geological Survey in cooperation with State, Municipal, and Federal agencies in New York.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wdrNY041","collaboration":"Prepared in cooperation with the Board of Hudson River-Black River Regulating District, Brascan Power, New York, City of Albany, City of New York, Department of Environmental Protection, County of Ulster, County Legislature, Green Island Power Authority, La Chute Hydro Company, Inc., Mirant New York, Inc., New York Power Authority, New York State Department of Environmental Conservation, New York State Department of Transportation, Reliant Energy, and Village of Nyack","usgsCitation":"Butch, G., Murray, P., Brooks, L., McGrath, K., and Edwards, D., 2005, Water Resources Data New York Water Year 2004, Volume 1: Eastern New York Excluding Long Island: U.S. Geological Survey Water Data Report NY-04-1, 581 p., https://doi.org/10.3133/wdrNY041.","productDescription":"581 p.","numberOfPages":"581","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":191555,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-1/coverthb.jpg"},{"id":325496,"rank":2,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-1/contents2004.pdf","text":"Contents","linkFileType":{"id":1,"text":"pdf"}},{"id":325497,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-1/rept.disc2004.pdf","text":"Discontinued Sites","linkFileType":{"id":1,"text":"pdf"}},{"id":325498,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-1/mainpgsA2004.pdf","text":"Introduction/Cooperation/Summary of Hydrologic Conditions","linkFileType":{"id":1,"text":"pdf"}},{"id":325499,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-1/mainpgsB2004.pdf","text":"Explanation Text/Definitions/Lists of Reports","linkFileType":{"id":1,"text":"pdf"}},{"id":325500,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-1/map2004.pdf","text":"Site Map","linkFileType":{"id":1,"text":"pdf"}},{"id":325501,"rank":7,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-1/rept.index04.pdf","text":"Index","linkFileType":{"id":1,"text":"pdf"}},{"id":364365,"rank":8,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-1/","linkFileType":{"id":5,"text":"html"}},{"id":364366,"rank":9,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-1/wdrNY041.zip","linkFileType":{"id":6,"text":"zip"}}],"publicComments":"Download the document .zip file and extract all files. Open contents2004.pdf. Click the link on each chapter to access chapter PDFs.","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Rd
Troy, NY 12180
(518) 285-5695
http://ny.water.usgs.gov/
Water resources data for the 2004 water year for Long Island New York consist of records of stage, discharge, and water quality of streams; stage, contents, and water quality of lakes and reservoirs; stage and water quality of estuaries; and water levels and water quality of ground-water wells. This volume contains records for water discharge at 15 gaging stations; lake stage at 7 gaging stations; tide stage at 6 gaging stations; and water levels at 478 observation wells. Also included are data for 10 low-flow partial record stations. Additional water data were collected at various sites not involved in the systematic data-collection program, and are published as miscellaneous measurements and analyses. These data, together with the data in volumes 1 and 3 represent that part of the National Water Data System operated by the U.S. Geological Survey in cooperation with State, Federal, and other agencies in New York.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wdrNY042","usgsCitation":"GeSpinello, A., Busciolano, R., Pena-Cruz, G., and Winowitch, R., 2005, Water Resources Data New York Water Year 2004, Volume 2: Long Island: U.S. Geological Survey Water Data Report NY-04-2, 286 p., https://doi.org/10.3133/wdrNY042.","productDescription":"286 p.","numberOfPages":"286","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":192919,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-2/coverthb.jpg"},{"id":325547,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov//wdr/2004/wdr-ny-04-2/05.report.introduction.2004.pdf","text":"Introduction","size":"164 KB","linkFileType":{"id":1,"text":"pdf"},"description":"WDR 2004-NY042"},{"id":8520,"rank":1,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-2/wdrny042.contents.pdf","text":"Contents","size":"315 KB","linkFileType":{"id":1,"text":"pdf"},"description":"WDR 2004-NY042"},{"id":325671,"rank":7,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-2/15.report.index.2004.pdf","text":"Index","size":"79 KB","linkFileType":{"id":1,"text":"pdf"},"description":"WDR 2004-NY042"},{"id":325670,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-2/08.figure6a.2004.pdf","text":"Map Showing Location of Data Collection Stations","size":"141 KB","linkFileType":{"id":1,"text":"pdf"},"description":"WDR 2004-NY042"},{"id":325548,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov//wdr/2004/wdr-ny-04-2/06.report.definitions.2004.pdf","text":"Explanation Text/ Definitions/Lists of Reports","size":"227 KB","linkFileType":{"id":1,"text":"pdf"},"description":"WDR 2004-NY042"},{"id":325546,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov//wdr/2004/wdr-ny-04-2/04.disc.list.2004.pdf","text":"Discontinued Surface-Water Discharge Stations","size":"174 KB","linkFileType":{"id":1,"text":"pdf"},"description":"WDR 2004-NY042"}],"contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Rd
Troy, NY 12180
(518) 285-5695
http://ny.water.usgs.gov/
Lake Houston is a major source of public water supply and recreational resource for the Houston metropolitan area, Texas. Water-quality issues of potential concern for the lake have included nutrient enrichment (orthophosphorus, total phosphorus, nitrite plus nitrate) and aquatic life use (dissolved oxygen). The , in cooperation with the City of Houston, collected water samples from three sites in Lake Houston and from two streams that discharge to the lake during 2000–2004. Nitrogen compounds, phosphorus, suspended sediment, organic carbon, turbidity, chlorophyll-a, and selected pesticide compounds in water were assessed for all sites. Waterquality conditions of the lake and inflow streams were assessed, and loads and yields were computed for selected constituents in the streams. Selected constituents from samples collected in Lake Houston during 1990–2004 were tested for trends. The three sites sampled in Lake Houston characterized water available to the City of Houston pumping station (site AC), water entering the lake from the largely rural eastern subbasin (site EC), and water entering the lake from the more urbanized, western subbasin (site FC). Most constituent concentrations were largest at site FC, smallest at site EC, and intermediate at site AC. Organic nitrogen was the dominant form of nitrogen in samples collected at all sites. Nitrite plus nitrate concentrations were largest at site FC. Total phosphorus concentrations in all samples were larger than that recommended by the U.S. Environmental Protection Agency to limit aquatic growth in reservoirs. There was a wide range in suspended-sediment concentrations and turbidity in the lake. Twelve pesticides were detected. Atrazine and its breakdown product, 2-chloro-4-isopropylamino-6-amino-s-triazine (CIAT), were the most commonly detected pesticides; concentrations of atrazine were larger than the U.S. Environmental Protection Agency maximum contaminant level of 3.0 micrograms per liter in two samples at site FC. The relative contributions to the water quality of Lake Houston from the eastern and western subbasins were examined by collecting water samples in Cypress Creek and East Fork San Jacinto River. Nitrate and pesticide concentrations were larger in Cypress Creek than in East Fork San Jacinto River. In Cypress Creek, nitrate was the primary form of nitrogen at low flows. Atrazine exceeded 3.0 micrograms per liter in three of 17 samples, with the maximum measured concentration of 21.3 micrograms per liter. In East Fork San Jacinto River, organic nitrogen was the primary form of nitrogen. Atrazine was detected in six of 15 samples. The maximum atrazine concentration was 0.233 microgram per liter. Constituent yields allowed direct comparison of loads from Cypress Creek and East Fork San Jacinto River. In Cypress Creek, storm yields of nitrite plus nitrate nitrogen for high flows ranged from 8 to 45 pounds per square mile per day; in East Fork San Jacinto River, the maximum storm yield for high flows was 1.47 pounds per square mile per day. At low flows, the median daily yield of dissolved phosphorus from Cypress Creek was 84 times larger than the median daily yield from East Fork San Jacinto River; at high flows, it was 16 times larger. At high flows, the maximum daily yield of atrazine from Cypress Creek was 460 times larger than the maximum daily yield at high flows from East Fork San Jacinto River. The concentrations of most constituents at Lake Houston sites showed no trend during 1990–2004; however, significant trends overall or for particular seasons, or both, were detected at some sites for nitrite plus nitrate, dissolved phosphorus, dissolved organic carbon, chlorophyll-a, and diazinon (2000–2004 data only for diazinon).
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20055241","collaboration":"Prepared in cooperation with the City of Houston","usgsCitation":"Sneck-Fahrer, D.A., Milburn, M.S., East, J., and Oden, J.H., 2005, Water-quality assessment of Lake Houston near Houston, Texas, 2000-2004: U.S. Geological Survey Scientific Investigations Report 2005-5241, 64 p., https://doi.org/10.3133/sir20055241.","productDescription":"64 p.","numberOfPages":"64","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":193095,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20055241.PNG"},{"id":415302,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86770.htm","linkFileType":{"id":5,"text":"html"}},{"id":7300,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5241/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","otherGeospatial":"Lake Houston","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.9167,\n 29.9022\n ],\n [\n -94.9167,\n 30.7667\n ],\n [\n -95.9733,\n 30.7667\n ],\n [\n -95.9733,\n 29.9022\n ],\n [\n -94.9167,\n 29.9022\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688d08","contributors":{"authors":[{"text":"Sneck-Fahrer, Debra A.","contributorId":43844,"corporation":false,"usgs":true,"family":"Sneck-Fahrer","given":"Debra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":286305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milburn, Matthew S.","contributorId":53896,"corporation":false,"usgs":true,"family":"Milburn","given":"Matthew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":286306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"East, Jeffery W. jweast@usgs.gov","contributorId":1683,"corporation":false,"usgs":true,"family":"East","given":"Jeffery W.","email":"jweast@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oden, Jeannette H. 0000-0002-6473-1553 jhoden@usgs.gov","orcid":"https://orcid.org/0000-0002-6473-1553","contributorId":1152,"corporation":false,"usgs":true,"family":"Oden","given":"Jeannette","email":"jhoden@usgs.gov","middleInitial":"H.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286303,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":79006,"text":"wdrNY043 - 2005 - Water Resources Data New York Water Year 2004, Volume 3: Western New York","interactions":[],"lastModifiedDate":"2017-03-30T15:49:16","indexId":"wdrNY043","displayToPublicDate":"2005-12-31T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"NY-04-3","title":"Water Resources Data New York Water Year 2004, Volume 3: Western New York","docAbstract":"Water resources data for the 2004 water year for Western New York consist of records of stage, discharge, and water quality of streams; stage and contents of lakes and reservoirs; ground-water levels and water quality; and quantity and chemical quality of precipitation. This volume contains records for water discharge at 71 gaging stations; stage only at 15 gaging stations; stage and contents at 6 gaging stations; water quality at 12 gaging stations, 29 wells, and 22 partial-record stations; water levels at 29 observation wells; daily precipitation totals at 1 site, and chemical quality of precipitation at 1 site. Also included are data for 38 crest-stage partial-record stations. Locations of these sites are shown on figure 1. Additional water data were collected at various sites not involved in the systematic data-collection program and are published as measurements made at miscellaneous sites. Surface-water, ground-water, and water-quality data at all sites are listed in Eastern Standard Time (EST), unless otherwise noted. These data together with the data in Volumes 1 and 2 represent that part of the National Water Information System operated by the U.S. Geological Survey and cooperating State, local, and Federal agencies in New York.
","language":"English","publisher":" U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wdrNY043","collaboration":"Prepared in cooperation with the State of New York and other agencies","usgsCitation":"Hornlein, J., Szabo, C., Zajd, H., and Welsh, M., 2005, Water Resources Data New York Water Year 2004, Volume 3: Western New York: U.S. Geological Survey Water Data Report NY-04-3, 345 p., https://doi.org/10.3133/wdrNY043.","productDescription":"345 p.","numberOfPages":"345","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":192303,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-3/coverthb.jpg"},{"id":8521,"rank":2,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-3/wdrny043.contents.pdf","text":"Contents","size":"635KB","linkFileType":{"id":1,"text":"pdf"},"description":"WDR 2004-NY-04-3"},{"id":325771,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-3/wdrny043.disc.list.pdf","text":"Discontinued Sites","size":"256 KB","linkFileType":{"id":1,"text":"pdf"},"description":"WDR 2004-NY-04-3"},{"id":325772,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-3/wdrny043.summary.pdf","text":"Introduction/Cooperation/Summary of Hydrologic Conditions","size":"943 KB","linkFileType":{"id":1,"text":"pdf"},"description":"WDR 2004-NY-04-3"},{"id":325773,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-3/wdrny043.text.pdf","text":"Explanantion Text/Definition of Terms/Bibliography","size":"426 KB","linkFileType":{"id":1,"text":"pdf"},"description":"WDR 2004-NY-04-3"},{"id":325774,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-3/wdrny043.maps.pdf","text":"State Map","size":"388 KB","linkFileType":{"id":1,"text":"pdf"},"description":"WDR 2004-NY-04-3"},{"id":325775,"rank":7,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-3/wdrny043.rept.data.pdf","text":"Surface-water, Water-quality, and Ground-water Data","size":"307 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WDR 2004-NY-04-3"},{"id":325776,"rank":8,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ny-04-3/wdrny043.index.pdf","text":"Index","size":"342 KB","linkFileType":{"id":1,"text":"pdf"},"description":"WDR 2004-NY-04-3"}],"contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Rd
Troy, NY 12180
(518) 285-5695
http://ny.water.usgs.gov/
An advantage of using optimization for model development and calibration is that optimization provides methods for evaluating and quantifying prediction uncertainty. Both deterministic and statistical methods can be used. Guideline 13 discusses using regression and post-audits, which we classify as deterministic methods. Guideline 14 discusses inferential statistics and Monte Carlo methods, which we classify as statistical methods.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Effective Groundwater Model Calibration: With Analysis of Data, Sensitivities, Predictions, and Uncertainty","largerWorkSubtype":{"id":13,"text":"Handbook"},"language":"English","publisher":"Wiley & Sons","doi":"10.1002/9780470041086.ch14","usgsCitation":"Hill, M.C., and Tiedeman, C.R., 2005, Guidelines 13 and 14—Prediction uncertainty, chap. of Effective Groundwater Model Calibration: With Analysis of Data, Sensitivities, Predictions, and Uncertainty, p. 337-344, https://doi.org/10.1002/9780470041086.ch14.","productDescription":"8 p. ","startPage":"337","endPage":"344","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":344052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2005-12-19","publicationStatus":"PW","scienceBaseUri":"59706fdfe4b0d1f9f065ab17","contributors":{"authors":[{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":705604,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":72787,"text":"sir20055273 - 2005 - Simulation of conservative-constituent transport in the Red River of the North Basin, North Dakota and Minnesota, 2003-04","interactions":[],"lastModifiedDate":"2018-03-09T13:33:42","indexId":"sir20055273","displayToPublicDate":"2005-12-18T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5273","title":"Simulation of conservative-constituent transport in the Red River of the North Basin, North Dakota and Minnesota, 2003-04","docAbstract":"Population growth along with possible future droughts in the Red River of the North (Red River) Basin will create an increasing need for reliable water supplies. Therefore, as a result of the Dakota Water Resources Act of 2000, the Bureau of Reclamation identified eight water-supply alternatives (including a no-action alternative) to meet future water needs in the basin. Because of concerns about the possible effects of the alternatives on water quality in the Red River and the Sheyenne River and in Lake Winnipeg, Manitoba, the Bureau of Reclamation needs to prepare an environmental impact statement that describes the specific environmental effects of each alternative. To provide information for the environmental impact statement, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation, conducted a study to develop and apply a water-quality model, hereinafter referred to as the Red River water-quality model, to part of the Red River and the Sheyenne River to simulate conservative-constituent transport in the Red River Basin. The Red River water-quality model is a one-dimensional, steady-state flow and transport model for selected constituents in the Red River and the Sheyenne River. The model simulates the flow and transport of total dissolved solids, sulfate, and chloride during steady-state conditions. The physical model domain includes the Red River from the confluence of the Bois de Sioux and Otter Tail Rivers to the Red River at Emerson, Manitoba, and the Sheyenne River from above Harvey, N. Dak., to the confluence with the Red River.
The Red River water-quality model was calibrated and tested using data collected at 34 sites from September 15 through 16, 2003, and from May 10 through 13, 2004. Water-quality samples were collected during low, steady-flow conditions from September 15 through 16, 2003, and during medium, unsteady-flow conditions from May 10 through 13, 2004. The simulated total dissolved-solids, sulfate, and chloride concentrations generally were within 5 percent of the measured concentrations.
The Red River water-quality model was used to simulate conservative-constituent transport in the Red River and the Sheyenne River for the eight water-supply alternatives identified by the Bureau of Reclamation. For the first set of eight simulations, September 2003 streamflows were used with projected 2050 return flows and withdrawals. For the second set of eight simulations, the September 2003 streamflows were reduced by 25 percent. The simulated concentrations for three of the alternatives generally were lower than for the no-action alternative. Of those alternatives, one would result in a decrease in concentrations for two constituents, one would result in a decrease in concentrations for all three constituents, and one would result in a decrease in concentrations for one constituent and an increase in concentrations for another constituent. For four of the alternatives, the differences between the mean simulated concentrations were less than calibration errors, indicating the effects of those alternatives on water quality in the rivers is uncertain. The effects of reduced streamflow on simulated total dissolved-solids, sulfate, and chloride concentrations were greatest for alternative 2. Reduced streamflow probably has an effect on simulated total dissolved-solids concentrations for alternatives 2, 3, 5, and 7 and on simulated sulfate concentrations for alternatives 2 and 5. Except for alternative 2, reduced streamflow had little effect on simulated chloride concentrations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055273","usgsCitation":"Nustad, R.A., and Bales, J.D., 2005, Simulation of conservative-constituent transport in the Red River of the North Basin, North Dakota and Minnesota, 2003-04 (Online only): U.S. Geological Survey Scientific Investigations Report 2005-5273, 89 p., https://doi.org/10.3133/sir20055273.","productDescription":"89 p.","onlineOnly":"Y","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":192842,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":352373,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2005/5273/pdf/sir20055273.pdf"},{"id":7282,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5273/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100,45.833333333333336 ], [ -100,49 ], [ -94.83333333333333,49 ], [ -94.83333333333333,45.833333333333336 ], [ -100,45.833333333333336 ] ] ] } } ] }","edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49a2e4b07f02db5bebb0","contributors":{"authors":[{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bales, Jerad D. 0000-0001-8398-6984 jdbales@usgs.gov","orcid":"https://orcid.org/0000-0001-8398-6984","contributorId":683,"corporation":false,"usgs":true,"family":"Bales","given":"Jerad","email":"jdbales@usgs.gov","middleInitial":"D.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":286077,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":72791,"text":"ofr20051001 - 2005 - USGS east-coast sediment analysis: Procedures, database, and GIS data","interactions":[{"subject":{"id":22246,"text":"ofr00358 - 2000 - USGS East-Coast sediment analysis: Procedures, database, and georeferenced displays","indexId":"ofr00358","publicationYear":"2000","noYear":false,"title":"USGS East-Coast sediment analysis: Procedures, database, and georeferenced displays"},"predicate":"SUPERSEDED_BY","object":{"id":72791,"text":"ofr20051001 - 2005 - USGS east-coast sediment analysis: Procedures, database, and GIS data","indexId":"ofr20051001","publicationYear":"2005","noYear":false,"title":"USGS east-coast sediment analysis: Procedures, database, and GIS data"},"id":1}],"lastModifiedDate":"2024-04-23T14:10:14.514326","indexId":"ofr20051001","displayToPublicDate":"2005-12-18T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1001","displayTitle":"USGS East-Coast Sediment Analysis: Procedures, Database, and GIS Data","title":"USGS east-coast sediment analysis: Procedures, database, and GIS data","docAbstract":"Sediments off the eastern United States vary markedly in texture - the size, shape, and arrangement of their grains. For descriptive purposes, however, it is typically most useful to classify these sediments according to their grain-size distributions. Starting in 1962, the U.S. Geological Survey (USGS) and the Woods Hole Oceanographic Institution (WHOI) began a joint program to study the marine geology of the continental margin off the Atlantic coast of the United States. As part of this program and numerous subsequent projects, thousands of sediment samples were collected and analyzed for grain size.
This report describes the field methods used to collect marine sediment sample, the laboratory methods used to determine and characterize grain-size distributions, and presents these data in several formats that can be readily employed by interested parties. By entering data into usSEABED, a large data compilation and mining program (Reid and others, 2005), this study also responds to an increasing demand for regional information on sea-floor sedimentary character with applications to aggregate resources suitable for beach nourishment and coastal restoration, benthic habitat mapping, and sediment transport studies. To this end, the report is divided into three sections: the first discusses field and laboratory procedures, the second contains the grain-size data, and the third provides a GIS data catalog that lists the available data layers and FGDC-compliant metadata.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051001","usgsCitation":"2005, USGS east-coast sediment analysis: Procedures, database, and GIS data: U.S. Geological Survey Open-File Report 2005-1001, HTML Document, https://doi.org/10.3133/ofr20051001.","productDescription":"HTML Document","onlineOnly":"Y","costCenters":[],"links":[{"id":192996,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2005/1001/coverthb.jpg"},{"id":408821,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_74454.htm","linkFileType":{"id":5,"text":"html"}},{"id":7287,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1001/index.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.52594811667547,\n 25.231672253965797\n ],\n [\n -78.96016913979508,\n 26.07628765538915\n ],\n [\n -79.72116201210528,\n 31.133811455717307\n ],\n [\n -74.47157117922418,\n 35.34523055348792\n ],\n [\n -71.35393824642446,\n 39.51407076355892\n ],\n [\n -68.46083027983468,\n 42.4218588944199\n ],\n [\n -66.4264256359665,\n 44.19834679854617\n ],\n [\n -68.08883666174552,\n 45.195707778561\n ],\n [\n -72.92809763951531,\n 42.263833544741345\n ],\n [\n -77.47568380843687,\n 39.01621974273431\n ],\n [\n -77.84384591245596,\n 35.49182124900037\n ],\n [\n -81.92528950037575,\n 31.861545355023978\n ],\n [\n -82.23723258569896,\n 29.709930298958568\n ],\n [\n -80.52594811667547,\n 25.231672253965797\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2ce4b07f02db613a68","contributors":{"editors":[{"text":"Poppe, L.J. lpoppe@usgs.gov","contributorId":139677,"corporation":false,"usgs":true,"family":"Poppe","given":"L.J.","email":"lpoppe@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":899389,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"McMullen, K.Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.Y.","email":"","affiliations":[],"preferred":false,"id":899392,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Williams, S.J.","contributorId":85203,"corporation":false,"usgs":true,"family":"Williams","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":899390,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Paskevich, V.F.","contributorId":96285,"corporation":false,"usgs":true,"family":"Paskevich","given":"V.F.","email":"","affiliations":[],"preferred":false,"id":899391,"contributorType":{"id":2,"text":"Editors"},"rank":4}]}} ,{"id":72785,"text":"sir20055202 - 2005 - Assessment, water-quality trends, and options for remediation of acidic drainage from abandoned coal mines near Huntsville, Missouri, 2003-2004","interactions":[],"lastModifiedDate":"2012-02-10T00:11:37","indexId":"sir20055202","displayToPublicDate":"2005-12-18T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5202","title":"Assessment, water-quality trends, and options for remediation of acidic drainage from abandoned coal mines near Huntsville, Missouri, 2003-2004","docAbstract":"Water from abandoned underground coal mines acidifies receiving streams in the Sugar Creek Basin and Mitchell Mine Basin near Huntsville, Missouri. A 4.35-kilometer (2.7-mile) reach of Sugar Creek has been classified as impaired based on Missouri's Water Quality Standards because of small pH values [< (less than) 6.5]. Samples collected from Sugar Creek from July 2003 to June 2004 did not have pH values outside of the specified range of 6.5 to 9.0. However, large concentrations of iron [416 to 2,320 mg/L (milligrams per liter)], manganese (8.36 to 33.5 mg/L), aluminum (0.870 to 428 mg/L), and sulfate (2,990 to 13,700 mg/L) in acidic mine drainage (AMD) from two mine springs as well as small and diffuse seeps were observed to have an effect on water quality in Sugar Creek. Metal and sulfate loads increased and pH decreased immediately downstream from Sugar Creek's confluence with the Calfee Slope and Huntsville Gob drainages that discharge AMD into Sugar Creek. Similar effects were observed in the Mitchell Mine drainage that receives AMD from a large mine spring. Comparisons of water-quality samples from this study and two previous studies by the U.S. Geological Survey in 1987-1988 and the Missouri Department of Natural Resources in 2000-2002 indicate that AMD generation in the Sugar Creek Basin and Mitchell Mine Basin is declining, but the data are insufficient to quantify any trends or time frame. AMD samples from the largest mine spring in the Calfee Slope subbasin indicated a modest but significant increase in median pH from 4.8 to 5.2 using the Wilcoxan rank-sum test (p <0.05) and a decrease in median specific conductance from 5,000 to 3,540 ?S/cm (microsiemens per centimeter at 25 degrees Celsius) during a 17-year period. AMD samples from the largest mine spring in the Mitchell Mine Basin indicated an increase in median pH values from 5.6 to 6.0 and a decrease in median specific conductance from 3,050 to 2,450 ?S/cm during the same period.\r\n\r\nRemediation of AMD at or near the sites of the three largest mine springs is geochemically feasible based on alkalinity addition rates and increased pH determined by cubitainer experiments and geochemical mixing experiments using the computer model PHREEQCI. Alkalinity values for seven cubitainer experiments conducted to simulate anoxic treatment options exceeded the targeted value for alkalinity [90 mg/L as calcium carbonate (CaCO3)] specified in Missouri's Total Maximum Daily Load program by 18 percent or more, but maximum pH values were between 6.2 and 6.3, which is less than the targeted pH value of 6.5. Treatment of AMD by mixing with stream water or sewage effluent can further increase pH as indicated by geochemical modeling, but will not totally achieve water-quality goals because of limited discharges. A combination of treatments including settling ponds, oxic or anoxic limestone drains, and possibly successive alkalinity producing systems to remediate AMD will likely be required in the Sugar Creek Basin and Mitchell Mine Basin to consistently meet Missouri's Water Quality Standards.","language":"ENGLISH","doi":"10.3133/sir20055202","usgsCitation":"Christensen, E.D., 2005, Assessment, water-quality trends, and options for remediation of acidic drainage from abandoned coal mines near Huntsville, Missouri, 2003-2004: U.S. Geological Survey Scientific Investigations Report 2005-5202, 92 p., https://doi.org/10.3133/sir20055202.","productDescription":"92 p.","costCenters":[],"links":[{"id":192888,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7283,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5202/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92,39 ], [ -92,39 ], [ -92,39 ], [ -92,39 ], [ -92,39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aafe4b07f02db66ce4b","contributors":{"authors":[{"text":"Christensen, Eric D. echriste@usgs.gov","contributorId":4230,"corporation":false,"usgs":true,"family":"Christensen","given":"Eric","email":"echriste@usgs.gov","middleInitial":"D.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286073,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":72788,"text":"sir20055217 - 2005 - Base flow in the Great Lakes Basin","interactions":[],"lastModifiedDate":"2017-01-20T12:55:17","indexId":"sir20055217","displayToPublicDate":"2005-12-18T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5217","title":"Base flow in the Great Lakes Basin","docAbstract":"Hydrograph separations were performed using the PART, HYSEP 1, 2, and 3, BFLOW and UKIH methods on 104,293 years of daily streamflow records from 3,936 streamflow-gaging stations in Ontario, Canada and the eight Great Lakes States of Illinois, Indiana, Michigan, Minnesota, New York, Ohio, Pennsylvania, and Wisconsin to estimate base-flow index (BFI) and base flow. BFI ranged an average of 0.24 BFI depending on which hydrograph-separation method was used. BFI data from 959 selected streamflow-gaging stations with a combined 28,784 years of daily streamflow data were used to relate BFI to surficial geology and the proportion of surface water within the gaged watersheds. This relation was then used to derive estimates of BFI throughout the Great Lakes, Ottawa River, and upper St. Lawrence River Basins at a scale of 8-digit hydrologic unit code (HUC) watersheds for the U.S. and tertiary watersheds in Canada. This process was repeated for each of the six hydrograph-separation methods used. When applied to gaged watersheds, model results predicted observed base flow within 0.2 BFI up to 94 percent of the time. Estimates of long-term (length of streamflow record) average annual streamflow in each HUC and tertiary watershed were calculated and used to determine average annual base flow from BFI estimates. Possibilities for future study based on results from this study include long-term trend analysis of base flow and improving the scale at which base-flow estimates can be made.","language":"English","publisher":"U.S. Geological Suvey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055217","usgsCitation":"Neff, B., Day, S., Piggott, A., and Fuller, L.M., 2005, Base flow in the Great Lakes Basin: U.S. Geological Survey Scientific Investigations Report 2005-5217, iv, 23 p., https://doi.org/10.3133/sir20055217.","productDescription":"iv, 23 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":192939,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20055217.JPG"},{"id":7284,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5217/","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Great Lakes 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-74.794921875,\n 44.98034238084973\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db6492a6","contributors":{"authors":[{"text":"Neff, B.P.","contributorId":92759,"corporation":false,"usgs":true,"family":"Neff","given":"B.P.","email":"","affiliations":[],"preferred":false,"id":286081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, S.M.","contributorId":41425,"corporation":false,"usgs":true,"family":"Day","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":286080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piggott, A.R.","contributorId":34600,"corporation":false,"usgs":true,"family":"Piggott","given":"A.R.","affiliations":[],"preferred":false,"id":286079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, L. M.","contributorId":97987,"corporation":false,"usgs":true,"family":"Fuller","given":"L.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":286082,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":72795,"text":"sir20045164 - 2005 - Using the tracer-dilution discharge method to develop streamflow records for ice-affected streams in Colorado","interactions":[],"lastModifiedDate":"2012-02-02T00:14:04","indexId":"sir20045164","displayToPublicDate":"2005-12-18T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2004-5164","title":"Using the tracer-dilution discharge method to develop streamflow records for ice-affected streams in Colorado","docAbstract":"Accurate ice-affected streamflow records are difficult to obtain for several reasons, which makes the management of instream-flow water rights in the wintertime a challenging endeavor. This report documents a method to improve ice-affected streamflow records for two gaging stations in Colorado. In January and February 2002, the U.S. Geological Survey, in cooperation with the Colorado Water Conservation Board, conducted an experiment using a sodium chloride tracer to measure streamflow under ice cover by the tracer-dilution discharge method. The purpose of this study was to determine the feasibility of obtaining accurate ice-affected streamflow records by using a sodium chloride tracer that was injected into the stream. The tracer was injected at two gaging stations once per day for approximately 20 minutes for 25 days. Multiple-parameter water-quality sensors at the two gaging stations monitored background and peak chloride concentrations. These data were used to determine discharge at each site. A comparison of the current-meter streamflow record to the tracer-dilution streamflow record shows different levels of accuracy and precision of the tracer-dilution streamflow record at the two sites. At the lower elevation and warmer site, Brandon Ditch near Whitewater, the tracer-dilution method overestimated flow by an average of 14 percent, but this average is strongly biased by outliers. At the higher elevation and colder site, Keystone Gulch near Dillon, the tracer-dilution method experienced problems with the tracer solution partially freezing in the injection line. The partial freezing of the tracer contributed to the tracer-dilution method underestimating flow by 52 percent at Keystone Gulch. In addition, a tracer-pump-reliability test was conducted to test how accurately the tracer pumps can discharge the tracer solution in conditions similar to those used at the gaging stations. Although the pumps were reliable and consistent throughout the 25-day study period, the pumps underdischarged the tracer by 5.8-15.9 percent as compared to the initial pumping rate setting, which may explain some of the error in the tracer-dilution streamflow record as compared to current-meter streamflow record. \r\n\r\n","language":"ENGLISH","doi":"10.3133/sir20045164","usgsCitation":"Capesius, J.P., Sullivan, J.R., O’Neill, G.B., and Williams, C.A., 2005, Using the tracer-dilution discharge method to develop streamflow records for ice-affected streams in Colorado: U.S. Geological Survey Scientific Investigations Report 2004-5164, 14 p., https://doi.org/10.3133/sir20045164.","productDescription":"14 p.","costCenters":[],"links":[{"id":124836,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2004_5164.jpg"},{"id":7290,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2004/5164/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49ace4b07f02db5c68c3","contributors":{"authors":[{"text":"Capesius, Joseph P. capesius@usgs.gov","contributorId":698,"corporation":false,"usgs":true,"family":"Capesius","given":"Joseph","email":"capesius@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":286108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Joseph R.","contributorId":64351,"corporation":false,"usgs":true,"family":"Sullivan","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":286109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neill, Gregory B.","contributorId":104994,"corporation":false,"usgs":true,"family":"O’Neill","given":"Gregory","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":286110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286107,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":72796,"text":"ofr20051018 - 2005 - Surficial geologic interpretation and sidescan sonar imagery of the sea floor in west-central Long Island Sound","interactions":[],"lastModifiedDate":"2024-05-15T12:28:12.479621","indexId":"ofr20051018","displayToPublicDate":"2005-12-18T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1018","title":"Surficial geologic interpretation and sidescan sonar imagery of the sea floor in west-central Long Island Sound","docAbstract":"The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) and Connecticut Department of Environmental Protection (CT-DEP) to conduct detailed studies of the surficial geology in Long Island Sound (LIS). The study goals are to interpret sedimentary environments within the Sound, to further understand processes controlling sediment distribution, and to provide a framework for future studies. Sidescan-sonar mosaics produced by USGS and NOAA show detailed acoustic images of the sea floor with 1-m resolution. These images, along with data obtained from sediment samples, seismic-reflection profiles, and seafloor video, are used to interpret the surficial geology.
As part of this cooperative program, since 1995, 12 sidescan-sonar surveys of the LIS sea floor have been completed (Poppe and others, 1997; Twichell and others, 1997; Poppe and others, 1998a; Poppe and others, 1998b; Twichell and others, 1998; Poppe and others, 1999a; Poppe and others, 1999b; Poppe and others, 2001; Poppe and others, 2004; Zajac and others, 2003). The purpose of this report is to release digital versions of the imagery and interpretations from NOAA survey H11044 originally published in McMullen and others (2005). Survey H11044, which covers an area of 293 km2 in west-central LIS, includes the area of the previously published Milford Survey (Twichell and others, 1998) and the westernmost part of the New Haven Harbor Survey (Poppe and others, 2001). These two surveys detailed surficial geology and mapped sediment distributions. In this study, we map the sediment distribution across a broader, previously unstudied area and the sedimentary environments.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051018","usgsCitation":"McMullen, K., Poppe, L., Paskevich, V., Doran, E.F., Moser, M.S., Christman, E.B., and Beaver, A.L., 2005, Surficial geologic interpretation and sidescan sonar imagery of the sea floor in west-central Long Island Sound: U.S. Geological Survey Open-File Report 2005-1018, HTML Dpcument; DVD-ROM, https://doi.org/10.3133/ofr20051018.","productDescription":"HTML Dpcument; DVD-ROM","additionalOnlineFiles":"Y","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":9922,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1018/index.htm","linkFileType":{"id":5,"text":"html"}},{"id":402649,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_74489.htm","linkFileType":{"id":5,"text":"html"}},{"id":192516,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2005/1018/coverthb.jpg"}],"country":"United States","state":"Connecticut","otherGeospatial":"Long Island Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.1744384765625,\n 41.055537533528636\n ],\n [\n -73.00277709960938,\n 41.055537533528636\n ],\n [\n -73.00277709960938,\n 41.25612970800976\n ],\n [\n -73.1744384765625,\n 41.25612970800976\n ],\n [\n -73.1744384765625,\n 41.055537533528636\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db68a0c4","contributors":{"authors":[{"text":"McMullen, K.Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.Y.","email":"","affiliations":[],"preferred":false,"id":286112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppe, L.J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.J.","affiliations":[],"preferred":false,"id":286114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paskevich, V.F.","contributorId":96285,"corporation":false,"usgs":true,"family":"Paskevich","given":"V.F.","email":"","affiliations":[],"preferred":false,"id":286116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doran, E. F.","contributorId":31066,"corporation":false,"usgs":true,"family":"Doran","given":"E.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":286111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moser, M. S.","contributorId":98391,"corporation":false,"usgs":true,"family":"Moser","given":"M.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":286117,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Christman, E. B.","contributorId":81562,"corporation":false,"usgs":true,"family":"Christman","given":"E.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":286115,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beaver, A. L.","contributorId":70490,"corporation":false,"usgs":true,"family":"Beaver","given":"A.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":286113,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":72793,"text":"sir20055226 - 2005 - Effects of removing Good Hope Mill Dam on selected physical, chemical, and biological characteristics of Conodoguinet Creek, Cumberland County, Pennsylvania","interactions":[],"lastModifiedDate":"2023-11-02T18:54:09.381205","indexId":"sir20055226","displayToPublicDate":"2005-12-18T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5226","title":"Effects of removing Good Hope Mill Dam on selected physical, chemical, and biological characteristics of Conodoguinet Creek, Cumberland County, Pennsylvania","docAbstract":"The implications of dam removal on channel characteris-tics, water quality, benthic invertebrates, and fish are not well understood because of the small number of removals that have been studied. Comprehensive studies that document the effects of dam removal are just beginning to be published, but most research has focused on larger dams or on the response of a sin-gle variable (such as benthic invertebrates). This report, pre-pared in cooperation with the Conodoguinet Creek Watershed Association, provides an evaluation of how channel morphol-ogy, bed-particle-size distribution, water quality, benthic inver-tebrates, fish, and aquatic habitat responded after removal of Good Hope Mill Dam (a small 'run of the river' dam) from Conodoguinet Creek in Cumberland County, Pa.\r\n\r\nGood Hope Mill Dam was a 6-foot high, 220-foot wide concrete structure demolished and removed over a 3-day period beginning with the initial breach on November 2, 2001, at 10:00 a.m. eastern standard time. To isolate the effects of dam removal, data were collected before and after dam removal at five monitoring stations and over selected reaches upstream, within, and downstream of the impoundment. Stations 1, 2, and 5 were at free-flowing control locations 4.9 miles upstream, 2.5 miles upstream, and 5 miles downstream of the dam, respec-tively. Stations 3 and 4 were located where the largest responses were anticipated, 115 feet upstream and 126 feet downstream of the dam, respectively\r\n\r\nGood Hope Mill Dam was not an effective barrier to sedi-ment transport. Less than 3 inches of sediment in the silt/clay-size range (less than 0.062 millimeters) coated bedrock within the 7,160-foot (1.4-mile) impoundment. The bedrock within the impoundment was not incised during or after dam removal, and the limited sediment supply resulted in no measurable change in the thalweg elevation downstream of the dam. The cross-sec-tional areas at stations 3 and 4, measured 17 days and 23 months after dam removal, were within 3 percent of the area measured before removal. \r\n\r\nSome of the impounded silt/clay at station 3 and other sed-iment in the work area downstream of the dam were initially entrained over the 3-day removal period and deposited on sub-strate at station 4. Remaining silt/clay at station 3 and deposits at station 4 were transported downstream by the flows mea-sured over the 23 months after removal (daily mean flow ranged from 38 to 5,180 cubic feet per second). The median bed-parti-cle size at station 3 increased by approximately 32 millimeters in the 23-month period after removal. Bed-particle-size distri-bution at station 4 became finer when silt/clay was initially deposited but coarsened as high flows flushed it downstream; median bed-particle size was 77.7 millimeters before removal compared to 31.3 millimeters 17 days after removal and 99 mil-limeters 23 months after removal. \r\n\r\nGood Hope Mill Dam had either no effect on water-quality characteristics or the effect was so small it was masked by sea-sonal and periodic variability. Measurements of daily mean temperature, dissolved-oxygen concentration, pH, and specific conductance on a short time scale (every 15 minutes) indicate the daily range of temperature was suppressed under impounded conditions and daily extremes of temperature, dis-solved-oxygen concentration, pH, and specific conductance at station 2 were out of phase by approximately 12 hours with station 3. Once the dam was removed, the pattern at station 3 shifted and converged with the pattern at station 2. The offset before removal may be related to a lag time resulting from a decrease in velocity through the impoundment. \r\n\r\nTotal nitrogen and suspended-sediment concentrations increased upon the initial dam breach but were within the range of concentrations measured from March 2001 through April 2002 over varying flow conditions at station 1. Total nitrogen concentration at station 4 was 4.66 milligrams per liter upon the initial breach of the dam,","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20055226","usgsCitation":"Chaplin, J.J., Brightbill, R.A., and Bilger, M.D., 2005, Effects of removing Good Hope Mill Dam on selected physical, chemical, and biological characteristics of Conodoguinet Creek, Cumberland County, Pennsylvania: U.S. Geological Survey Scientific Investigations Report 2005-5226, vi, 37 p., https://doi.org/10.3133/sir20055226.","productDescription":"vi, 37 p.","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":422351,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_75446.htm","linkFileType":{"id":5,"text":"html"}},{"id":7289,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5226/","linkFileType":{"id":5,"text":"html"}},{"id":193341,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Cumberland County","otherGeospatial":"Conodoguinet Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.01244410668107,\n 40.26968434104131\n ],\n [\n -77.01244410668107,\n 40.23238079367178\n ],\n [\n -76.92239289126732,\n 40.23238079367178\n ],\n [\n -76.92535510230088,\n 40.28550398189944\n ],\n [\n -77.01244410668107,\n 40.26968434104131\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db6117a1","contributors":{"authors":[{"text":"Chaplin, Jeffrey J. 0000-0002-0617-5050 jchaplin@usgs.gov","orcid":"https://orcid.org/0000-0002-0617-5050","contributorId":147,"corporation":false,"usgs":true,"family":"Chaplin","given":"Jeffrey","email":"jchaplin@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brightbill, Robin A. 0000-0003-4683-9656 rabright@usgs.gov","orcid":"https://orcid.org/0000-0003-4683-9656","contributorId":618,"corporation":false,"usgs":true,"family":"Brightbill","given":"Robin","email":"rabright@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bilger, Michael D.","contributorId":13589,"corporation":false,"usgs":true,"family":"Bilger","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":286106,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202246,"text":"70202246 - 2005 - Petrogenesis of the Apollo 14 high-alumina basalts: Implications from ion microprobe analyses","interactions":[],"lastModifiedDate":"2019-02-18T09:28:54","indexId":"70202246","displayToPublicDate":"2005-12-15T09:26:51","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Petrogenesis of the Apollo 14 high-alumina basalts: Implications from ion microprobe analyses","docAbstract":"In this study, ion microprobe analyses of individual minerals are used to investigate the petrogenesis of the Apollo 14 high-Al basalts. We use trace element concentrations from individual minerals in the Apollo 14 high-Al basalts to evaluate both endogenic and exogenic models. The data show that if the Apollo 14 high-Al basalts were produced by melting within the lunar mantle, these basalts cannot be related to one another by closed-system fractional crystallization of a single basaltic melt. Rather, the trace element data show that variable amounts of a KREEP component were added to the basalts by either assimilation, mixing into mantle sources, or impact melting. Single-stage assimilation–fractional crystallization models can only explain the data from this study if an excessively large mass of urKREEP is assimilated into the parent magma before olivine crystallization. Alternatively, the trace element data can be explained if the Apollo 14 high-Al basalts were produced by melting multiple Al-rich mantle sources that contain different amounts of urKREEP. Finally, for impact melting to be a relevant process, the data require that multiple large impact melts be formed from mixed KREEP-rich target lithologies. The resulting impact melts must then crystallize to produce basalts with igneous textures, high Al2O3 concentrations, uniform major element compositions, and a wide range of incompatible trace element concentrations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2005.08.008","usgsCitation":"Hagerty, J., Shearer, C.K., and Papike, J.J., 2005, Petrogenesis of the Apollo 14 high-alumina basalts: Implications from ion microprobe analyses: Geochimica et Cosmochimica Acta, v. 69, no. 24, p. 5831-5845, https://doi.org/10.1016/j.gca.2005.08.008.","productDescription":"15 p.","startPage":"5831","endPage":"5845","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":361313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"24","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hagerty, Justin 0000-0003-3800-7948 jhagerty@usgs.gov","orcid":"https://orcid.org/0000-0003-3800-7948","contributorId":911,"corporation":false,"usgs":true,"family":"Hagerty","given":"Justin","email":"jhagerty@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":757473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shearer, Charles K.","contributorId":111575,"corporation":false,"usgs":true,"family":"Shearer","given":"Charles","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":757474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Papike, James J.","contributorId":213331,"corporation":false,"usgs":false,"family":"Papike","given":"James","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":757475,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":72767,"text":"sir20045127 - 2005 - Aquifer properties, stream base flow, water use, and water levels in the Pohatcong Valley, Warren County, New Jersey","interactions":[],"lastModifiedDate":"2012-02-02T00:13:59","indexId":"sir20045127","displayToPublicDate":"2005-12-08T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2004-5127","title":"Aquifer properties, stream base flow, water use, and water levels in the Pohatcong Valley, Warren County, New Jersey","docAbstract":"A study was conducted to define the hydrogeology and describe the ground-water flow in the Pohatcong Valley in Warren County, N.J. near the Pohatcong Valley Ground Water Contamination Site. The area is underlain by glacial till and alluvial sediments and weathered and competent carbonate bedrock. The northwest and southeast valley boundaries are regional-scale thrust faults and ridges underlain by crystalline rocks. The unconsolidated sediments and weathered bedrock form a minor surficial aquifer. The carbonate rocks form a highly transmissive fractured-rock aquifer with well yields commonly as high as 500 gallons per minute. Ground-water recharge and flow in the crystalline-rock aquifer bordering the valley is minor compared to flow in the carbonate-rock aquifer, and little ground water flows into the carbonate-rock aquifer directly from the crystalline-rock aquifer. The thrust faults separating the carbonate and crystalline rocks may further impede flow between the two rock types.\r\n\r\n \r\n\r\nInterpretations of water-level and transmissivity data collected during 2000 to 2003 indicate that the carbonate formations generally can be considered to be one aquifer. The transmissivity of the carbonate-rock aquifer was estimated from the results of four aquifer tests conducted with two public supply wells. The transmissivity estimated from aquifer tests at a well located in Washington Borough is about 8,600 square feet per day. An aquifer test at a well located near the southwest border of Washington Borough was conducted to estimate transmissivity and the direction and magnitude of anisotropy. The estimated direction of maximum horizontal transmissivity near the second well is about 58? east of north and the magnitude is 7,600 square feet per day. The minimum horizontal transmissivity is 3,500 square feet per day and the ratio of anisotropy (maximum transmissivity to minimum transmissivity) is 2.2 to 1.\r\n\r\n \r\n\r\nStream base-flow data indicate that Pohatcong Creek steadily gains flow, but most of the gain is from tributaries originating in the crystalline rock areas (valley walls). Therefore, it is concluded there are no major heterogeneities (such as karst springs) in ground-water discharge to surface water. During periods of low ground-water levels, it is likely that, within the study area, Pohatcong Creek gains no flow from the carbonate-rock aquifer and may even lose flow to the surficial aquifer (which then recharges the carbonate-rock aquifer).\r\n\r\n \r\n\r\nThere are few sites in the Pohatcong Valley with large-scale (greater than 10 million gallons per year) ground- or surface-water withdrawals. The only substantial withdrawals in the valley are from two public supply wells and from two industrial facilities. Average annual withdrawals during 1997-2002 at these four locations totaled 298 million gallons per year. About 95 percent of the water withdrawn by the large industrial user (108 million gallons per year) is re-injected into the aquifer.\r\n\r\n \r\n\r\nIn some locations throughout the valley, water levels in the shallow surficial deposits were substantially higher than those in underlying carbonate-rock aquifer. Water levels in the deep part of the surficial aquifer and underlying carbonate-rock aquifer were similar, although the gradients were often (but not always) downward. Furthermore, data collected during aquifer tests at a public supply well in Washington Borough and a public-supply well west of Washington Borough show that the deep part of the surficial aquifer is hydraulically well connected to the underlying carbonate-rock aquifer at these two locations. The shallow surficial deposits, however, are not well connected to the deep surficial deposits and carbonate rock at these two locations. \r\n\r\n \r\n\r\nThe overall ground-water-flow pattern in the valley appears to be that precipitation recharges the surficial aquifer and is discharged from the surficial aquifer to the underlying bedrock aquifer and the Pohatcong Creek and its tri","language":"ENGLISH","doi":"10.3133/sir20045127","usgsCitation":"Carleton, G., Gordon, A., and Wieben, C., 2005, Aquifer properties, stream base flow, water use, and water levels in the Pohatcong Valley, Warren County, New Jersey (Online only): U.S. Geological Survey Scientific Investigations Report 2004-5127, NA, https://doi.org/10.3133/sir20045127.","productDescription":"NA","onlineOnly":"Y","costCenters":[],"links":[{"id":193085,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7236,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2004/5127/","linkFileType":{"id":5,"text":"html"}}],"edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b17e4b07f02db6a61bc","contributors":{"authors":[{"text":"Carleton, G.B.","contributorId":107729,"corporation":false,"usgs":true,"family":"Carleton","given":"G.B.","email":"","affiliations":[],"preferred":false,"id":286058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gordon, A.D.","contributorId":103711,"corporation":false,"usgs":true,"family":"Gordon","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":286057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wieben, C.M. 0000-0001-5825-5119","orcid":"https://orcid.org/0000-0001-5825-5119","contributorId":100491,"corporation":false,"usgs":true,"family":"Wieben","given":"C.M.","affiliations":[],"preferred":false,"id":286056,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":72768,"text":"cir1196U - 2005 - Mercury recycling in the United States in 2000","interactions":[{"subject":{"id":70911,"text":"ofr20051236 - 2005 - Mercury recycling in the United States in 2000","indexId":"ofr20051236","publicationYear":"2005","noYear":false,"title":"Mercury recycling in the United States in 2000"},"predicate":"SUPERSEDED_BY","object":{"id":72768,"text":"cir1196U - 2005 - Mercury recycling in the United States in 2000","indexId":"cir1196U","publicationYear":"2005","noYear":false,"chapter":"U","title":"Mercury recycling in the United States in 2000"},"id":1}],"lastModifiedDate":"2012-02-02T00:13:59","indexId":"cir1196U","displayToPublicDate":"2005-12-08T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1196","chapter":"U","title":"Mercury recycling in the United States in 2000","docAbstract":"Reclamation and recycling of mercury from used mercury- containing products and treatment of byproduct mercury from gold mining is vital to the continued, though declining, use of this metal. Mercury is reclaimed from mercury-containing waste by treatment in multistep high-temperature retorts-the mercury is volatized and then condensed for purification and sale. Some mercury-containing waste, however, may be landfilled, and landfilled material represents loss of a recyclable resource and a threat to the environment. Related issues include mercury disposal and waste management, toxicity and human health, and regulation of mercury releases in the environment.\r\n\r\nEnd-users of mercury-containing products may face fines and prosecution if these products are improperly recycled or not recycled. Local and State environmental regulations require adherence to the Resource Conservation and Recovery Act and the Comprehensive Environmental Response, Compensation, and Liability Act to regulate generation, treatment, and disposal of mercury-containing products. In the United States, several large companies and a number of smaller companies collect these products from a variety of sources and then reclaim and recycle the mercury.\r\n\r\nBecause mercury has not been mined as a principal product in the United States since 1992, mercury reclamation from fabricated products has become the main source of mercury. Principal product mercury and byproduct mercury from mining operations are considered to be primary materials. Mercury may also be obtained as a byproduct from domestic or foreign gold-processing operations. \r\n\r\nIn the early 1990s, U.S. manufacturers used an annual average that ranged from 500 to 600 metric tons of recycled and imported mercury for fabrication of automobile convenience switches, dental amalgam, fluorescent lamps, medical uses and thermometers, and thermostats. The amount now used for fabrication is estimated to be 200 metric tons per year or less. Much of the data on mercury is estimated because it is a low-volume commodity and its production, use, and disposal is difficult to track. The prices and volumes of each category of mercury-containing material may change dramatically from year to year. For example, the average price of mercury was approximately $150 per flask from 2000 until 2003 and then rose sharply to $650 per flask in fall 2004 and approximately $850 per flask in spring 2005. Since 1927, the common unit for measuring and pricing mercury has been the flask in order to conform to the system used at Almaden, Spain (Meyers, 1951). One flask weighs 34.5 kilograms, and 29 flasks of mercury are contained in a metric ton.\r\n\r\nIn the United States, the chlorine-caustic soda industry, which is the leading end-user of elemental mercury, recycles most of its mercury in-plant as home scrap. Annual purchases of replacement mercury by the chlorine-caustic soda industry indicate that some mercury may be lost through evaporation to the environment, put into a landfill as industrial waste, or trapped within pipes in the plant. Impending closure of domestic and foreign mercury-cell chlorine-caustic soda plants and the shift to nonmercury technology for chlorine-caustic soda production could ultimately result in a significant volume of elemental mercury for recycling, sale, or storage. Globally, mercury is widely used in artisanal, or small-scale, gold mining. Most of that mercury is lost to the environment and is not recycled. The recycling rate for mercury was not available owing to insufficient data in 2000, and the efficiency of mercury recycling was estimated to be 62 percent.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Flow Studies for Recycling Metal Commodities in the United States","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","doi":"10.3133/cir1196U","collaboration":"Supersedes OFR 2005-1236","usgsCitation":"Brooks, W.E., and Matos, G.R., 2005, Mercury recycling in the United States in 2000 (Version 1.0): U.S. Geological Survey Circular 1196, 26 p., https://doi.org/10.3133/cir1196U.","productDescription":"26 p.","onlineOnly":"Y","temporalStart":"2000-01-01","temporalEnd":"2000-12-31","costCenters":[],"links":[{"id":193086,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7237,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/c1196u/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db624d80","contributors":{"authors":[{"text":"Brooks, William E.","contributorId":104061,"corporation":false,"usgs":true,"family":"Brooks","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":286060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matos, Grecia R. 0000-0002-3285-3070 gmatos@usgs.gov","orcid":"https://orcid.org/0000-0002-3285-3070","contributorId":2656,"corporation":false,"usgs":true,"family":"Matos","given":"Grecia","email":"gmatos@usgs.gov","middleInitial":"R.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":286059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":72773,"text":"tm2A3 - 2005 - Selection and application of microbial source tracking tools for water-quality investigations","interactions":[],"lastModifiedDate":"2012-02-02T00:13:55","indexId":"tm2A3","displayToPublicDate":"2005-12-08T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2-A3","title":"Selection and application of microbial source tracking tools for water-quality investigations","docAbstract":"Microbial source tracking (MST) is a complex process that includes many decision-making steps. Once a contamination problem has been defined, the potential user of MST tools must thoroughly consider study objectives before deciding upon a source identifier, a detection method, and an analytical approach to apply to the problem. Regardless of which MST protocol is chosen, underlying assumptions can affect the results and interpretation. It is crucial to incorporate tests of those assumptions in the study quality-control plan to help validate results and facilitate interpretation.\r\n\r\nDetailed descriptions of MST objectives, protocols, and assumptions are provided in this report to assist in selection and application of MST tools for water-quality investigations. Several case studies illustrate real-world applications of MST protocols over a range of settings, spatial scales, and types of contamination. Technical details of many available source identifiers and detection methods are included as appendixes. By use of this information, researchers should be able to formulate realistic expectations for the information that MST tools can provide and, where possible, successfully execute investigations to characterize sources of fecal contamination to resource waters. ","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Book 2. Collection of environmental data, Section A. Biological science","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","doi":"10.3133/tm2A3","usgsCitation":"Stoeckel, D.M., 2005, Selection and application of microbial source tracking tools for water-quality investigations: U.S. Geological Survey Techniques and Methods 2-A3, 49 p., https://doi.org/10.3133/tm2A3.","productDescription":"49 p.","costCenters":[],"links":[{"id":191930,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7238,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/2005/tm2a3/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db689c70","contributors":{"authors":[{"text":"Stoeckel, Donald M.","contributorId":78384,"corporation":false,"usgs":true,"family":"Stoeckel","given":"Donald","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":286061,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}