The diversity in landscapes at the Earth’s surface is the result, amongst other things, of the balance (or imbalance) between soil production and erosion. While erosion rates are well constrained, it is only recently that we have been able to quantify rates of soil production. Uranium-series isotopes have been useful to provide such estimates independently of erosion rates. In this study, new U-series isotope are presented data from weathering profiles developed over andesitic parent rock in Puerto Rico, and granitic bedrock in southeastern Australia. The site in Australia is located on a highland plateau, neighbouring a retreating escarpment where soil production rates between 10 and 50 mm/kyr have been determined. The results show that production rates are invariant in these two regions of Australia with values between 15 and 25 mm/kyr for the new site. Andesitic soils show much faster rates, about 200 mm/kyr. Overall, soil production rates determined with U-series isotopes range between 10 and 200 mm/kyr. This is comparable to erosion rates in soil-mantled landscapes, but faster than erosion in cratonic areas and slower than in alpine regions and cultivated areas. This suggests that soil-mantled landscapes maintain soil because they can: there is a balance between production and erosion. Similarly, thick weathering profiles develop in cratonic areas because, despite slow erosion rates, soil production is still significant. Bare landscapes in Alpine regions are probably the result of the inability of soil production to catch up with fast erosion rates, although this needs testing by U-series isotope studies of these regions. Finally, the range of production rates is up to several orders of magnitude lower than erosion rates in cultivated areas, demonstrating quantitatively the fast depletion of soil resources with common agricultural practices.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.1016/j.apgeochem.2011.03.020","usgsCitation":"Dosseto, A., Buss, H.L., and Suresh, P.O., 2011, The delicate balance between soil production and erosion, and its role on landscape evolution: Applied Geochemistry, v. 26, no. Supplement, p. S24-S27, https://doi.org/10.1016/j.apgeochem.2011.03.020.","productDescription":"4 p.","startPage":"S24","endPage":"S27","costCenters":[],"links":[{"id":475020,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":405798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"Supplement","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dosseto, A.","contributorId":295908,"corporation":false,"usgs":false,"family":"Dosseto","given":"A.","email":"","affiliations":[],"preferred":false,"id":850117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buss, Heather L. 0000-0002-1852-3657","orcid":"https://orcid.org/0000-0002-1852-3657","contributorId":15478,"corporation":false,"usgs":true,"family":"Buss","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":850118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suresh, P. O.","contributorId":295909,"corporation":false,"usgs":false,"family":"Suresh","given":"P.","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":850119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":99110,"text":"cir1367 - 2011 - U.S. Geological Survey Fundamental Science Practices","interactions":[],"lastModifiedDate":"2012-02-02T00:04:07","indexId":"cir1367","displayToPublicDate":"2011-03-22T00:00:00","publicationYear":"2011","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":"1367","title":"U.S. Geological Survey Fundamental Science Practices","docAbstract":"The USGS has a long and proud tradition of objective, unbiased science in service to the Nation. A reputation for impartiality and excellence is one of our most important assets. To help preserve this vital asset, in 2004 the Executive Leadership Team (ELT) of the USGS was charged by the Director to develop a set of fundamental science practices, philosophical premises, and operational principles as the foundation for all USGS research and monitoring activities. In a concept document, 'Fundamental Science Practices of the U.S. Geological Survey', the ELT proposed 'a set of fundamental principles to underlie USGS science practices.' The document noted that protecting the reputation of USGS science for quality and objectivity requires the following key elements: - Clearly articulated, Bureau-wide fundamental science practices. - A shared understanding at all levels of the organization that the health and future of the USGS depend on following these practices. - The investment of budget, time, and people to ensure that the USGS reputation and high-quality standards are maintained. The USGS Fundamental Science Practices (FSP) encompass all elements of research investigations, including data collection, experimentation, analysis, writing results, peer review, management review, and Bureau approval and publication of information products. The focus of FSP is on how science is carried out and how products are produced and disseminated. FSP is not designed to address the question of what work the USGS should do; that is addressed in USGS science planning handbooks and other documents. Building from longstanding existing USGS policies and the ELT concept document, in May 2006, FSP policies were developed with input from all parts of the organization and were subsequently incorporated into the Bureau's Survey Manual. In developing an implementation plan for FSP policy, the intent was to recognize and incorporate the best of USGS current practices to obtain the optimum overall program for our science. In January 2009, the USGS moved to full implementation of FSP. The FSP Advisory Committee (FSPAC) was formed to serve as the Bureau's working and standing committee to ensure the objectivity and quality of the Bureau's science information products and to provide support for the full implementation of FSP.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/cir1367","usgsCitation":"Fundamental Science Practices Advisory Committee, 2011, U.S. Geological Survey Fundamental Science Practices: U.S. Geological Survey Circular 1367, 8 p., https://doi.org/10.3133/cir1367.","productDescription":"8 p.","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":116748,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1367.jpg"},{"id":14561,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1367/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db6961f2","contributors":{"authors":[{"text":"Fundamental Science Practices Advisory Committee","contributorId":128236,"corporation":true,"usgs":false,"organization":"Fundamental Science Practices Advisory Committee","id":535049,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":99107,"text":"fs20113023 - 2011 - The USA National Phenology Network; taking the pulse of our planet","interactions":[],"lastModifiedDate":"2012-02-02T00:15:53","indexId":"fs20113023","displayToPublicDate":"2011-03-20T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3023","title":"The USA National Phenology Network; taking the pulse of our planet","docAbstract":"People have tracked phenology for centuries and for the most practical reasons: it helped them know when to hunt and fish, when to plant and harvest crops, and when to navigate waterways. Now phenology is being used as a tool to assess climate change and its effects on both natural and modified ecosystems. \r\n\r\nHow is the timing of events in plant and animal life cycles, like flowering or migration, responding to climate change? And how are those responses, in turn, affecting people and ecosystems? \r\n\r\nThe USA National Phenology Network (the Network) is working to answer these questions for science and society by promoting a broad understanding of plant and animal phenology and their relationship to environmental change. The Network is a consortium of organizations and individuals that collect, share, and use phenology data, models, and related information to enable scientists, resource managers, and the public to adapt in response to changing climates and environments. In addition, the Network encourages people of all ages and backgrounds to observe and record phenology as a way to discover and explore the nature and pace of our dynamic world. \r\n\r\nThe National Coordinating Office (NCO) of the Network is a resource center that facilitates and encourages widespread collection, integration, and sharing of phenology data and related information (for example, meteorological and hydrological data). The NCO develops and promotes standardized methods for field data collection and maintains several online user interfaces for data upload and download, as well as data exploration, visualization, and analysis. The NCO also facilitates basic and applied research related to phenology, the development of decision-support tools for resource managers and planners, and the design of educational and outreach materials \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20113023","collaboration":"USA National Phenology Network \r\n","usgsCitation":"Weltzin, J., 2011, The USA National Phenology Network; taking the pulse of our planet: U.S. Geological Survey Fact Sheet 2011-3023, 4 p., https://doi.org/10.3133/fs20113023.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":116538,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3023.gif"},{"id":14558,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3023/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672882","contributors":{"authors":[{"text":"Weltzin, Jake F.","contributorId":51005,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","affiliations":[],"preferred":false,"id":307585,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":99105,"text":"ofr20111035 - 2011 - Geophysical investigation of Red Devil mine using direct-current resistivity and electromagnetic induction, Red Devil, Alaska, August 2010","interactions":[],"lastModifiedDate":"2012-02-10T00:11:58","indexId":"ofr20111035","displayToPublicDate":"2011-03-19T00:00:00","publicationYear":"2011","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":"2011-1035","title":"Geophysical investigation of Red Devil mine using direct-current resistivity and electromagnetic induction, Red Devil, Alaska, August 2010","docAbstract":"Red Devil Mine, located in southwestern Alaska near the Village of Red Devil, was the state's largest producer of mercury and operated from 1933 to 1971. Throughout the lifespan of the mine, various generations of mills and retort buildings existed on both sides of Red Devil Creek, and the tailings and waste rock were deposited across the site. The mine was located on public Bureau of Land Management property, and the Bureau has begun site remediation by addressing mercury, arsenic, and antimony contamination caused by the minerals associated with the ore deposit (cinnabar, stibnite, realgar, and orpiment). \r\n\r\nIn August 2010, the U.S. Geological Survey completed a geophysical survey at the site using direct-current resistivity and electromagnetic induction surface methods. Eight two-dimensional profiles and one three-dimensional grid of direct-current resistivity data as well as about 5.7 kilometers of electromagnetic induction profile data were acquired across the site. On the basis of the geophysical data and few available soil borings, there is not sufficient electrical or electromagnetic contrast to confidently distinguish between tailings, waste rock, and weathered bedrock. A water table is interpreted along the two-dimensional direct-current resistivity profiles based on correlation with monitoring well water levels and a relatively consistent decrease in resistivity typically at 2-6 meters depth. \r\n\r\nThree settling ponds used in the last few years of mine operation to capture silt and sand from a flotation ore processing technique possessed conductive values above the interpreted water level but more resistive values below the water level. The cause of the increased resistivity below the water table is unknown, but the increased resistivity may indicate that a secondary mechanism is affecting the resistivity structure under these ponds if the depth of the ponds is expected to extend below the water level. The electromagnetic induction data clearly identified the three monofills and indicate, in conjunction with the three-dimensional resistivity data, additional possible landfill features on the north side of Red Devil Creek. \r\n\r\nNo obvious shallow feature was identified as a possible source for a spring that is feeding into Red Devil Creek from the north bank. However, a discrete, nearly vertical conductive feature observed on the direct-current resistivity line that passes within 5 meters of the spring may be worth investigating. Additional deep soil borings that better differentiate between tailings, waste rock, and weathered bedrock may be very useful in more confidently identifying these rock types in the direct-current resistivity data. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111035","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Burton, B., and Ball, L.B., 2011, Geophysical investigation of Red Devil mine using direct-current resistivity and electromagnetic induction, Red Devil, Alaska, August 2010: U.S. Geological Survey Open-File Report 2011-1035, x, 52 p.; Appendices, https://doi.org/10.3133/ofr20111035.","productDescription":"x, 52 p.; Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2010-08-01","temporalEnd":"2010-08-31","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":126180,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1035.png"},{"id":14556,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1035/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -157.31666666666666,61.75083333333333 ], [ -157.31666666666666,61.75111111111111 ], [ -157.3011111111111,61.75111111111111 ], [ -157.3011111111111,61.75083333333333 ], [ -157.31666666666666,61.75083333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c14d","contributors":{"authors":[{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":307581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":307580,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":99103,"text":"ds69X - 2011 - Geologic assessment of undiscovered hydrocarbon resources of the Western Oregon and Washington Province","interactions":[],"lastModifiedDate":"2012-02-02T00:15:52","indexId":"ds69X","displayToPublicDate":"2011-03-18T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69","chapter":"X","title":"Geologic assessment of undiscovered hydrocarbon resources of the Western Oregon and Washington Province","docAbstract":"The purpose of the U.S. Geological Survey (USGS) National Oil and Gas Assessment is to develop geology-based hypotheses regarding the potential for additions to oil and gas reserves in priority areas of the United States, focusing on the distribution, quantity, and availability of oil and natural gas resources. The USGS has completed an assessment of the undiscovered, technically recoverable oil and gas resources in western Oregon and Washington (USGS Western Oregon and Washington Province 5004). The province includes all of Oregon and Washington north of the Klamath Mountains and west of the crest of the Cascade Range, and extends offshore to the 3-mi limit of State waters on the west and to the International Boundary in the Straits of Juan de Fuca and Canada on the north. It measures about 450 mi north-south and 50 to 160 mi east-west, encompassing more than 51,000 mi2.\r\n\r\nThe assessment of the Western Oregon and Washington Province is geology based and used the total petroleum system (TPS) concept. The geologic elements of a TPS include hydrocarbon source rocks (source rock maturation and hydrocarbon generation and migration), reservoir rocks (quality and distribution), and traps for hydrocarbon accumulation. Using these geologic criteria, two conventional and one unconventional (continuous) total petroleum systems were defined, with one assessment unit (AU) in each TPS: (1) the Cretaceous-Tertiary Composite TPS and the Western Oregon and Washington Conventional Gas AU, (2) the Tertiary Marine TPS and the Tertiary-Marine Gas AU, and (3) the Tertiary Coalbed Gas TPS and the Eocene Coalbed Gas AU, in which a cell-based methodology was used to estimate coalbed-gas resources. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds69X","usgsCitation":"U.S. Geologic Survey Western Oregon and Washington Province Team, Brownfield, M.E., Charpentier, R., Cook, T.A., Klett, T., Pollastro, R.M., Schenk, C.J., Le, P., and GIS Spatial Data Team, 2011, Geologic assessment of undiscovered hydrocarbon resources of the Western Oregon and Washington Province: U.S. Geological Survey Data Series 69, HTML site and CD-ROM; ReadMe file; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Spatial Data, https://doi.org/10.3133/ds69X.","productDescription":"HTML site and CD-ROM; ReadMe file; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Spatial Data","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":514,"text":"Oil Shale Assessment Team","active":false,"usgs":true}],"links":[{"id":116975,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_69_x.png"},{"id":14554,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-x/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4d4f","contributors":{"authors":[{"text":"U.S. Geologic Survey Western Oregon and Washington Province Team","contributorId":128285,"corporation":true,"usgs":false,"organization":"U.S. Geologic Survey Western Oregon and Washington Province Team","id":535048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":307572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":307571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":307574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":709,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":307569,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pollastro, Richard M.","contributorId":25100,"corporation":false,"usgs":true,"family":"Pollastro","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":307573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":307570,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Le, P. A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":64737,"corporation":false,"usgs":true,"family":"Le","given":"P. A.","affiliations":[],"preferred":false,"id":307575,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"GIS Spatial Data Team","contributorId":128232,"corporation":true,"usgs":false,"organization":"GIS Spatial Data Team","id":535047,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":99102,"text":"sim3147 - 2011 - Potentiometric surface in the Central Oklahoma (Garber-Wellington) aquifer, Oklahoma, 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"sim3147","displayToPublicDate":"2011-03-18T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3147","title":"Potentiometric surface in the Central Oklahoma (Garber-Wellington) aquifer, Oklahoma, 2009","docAbstract":"A study of the hydrogeology of the Central Oklahoma aquifer was started in 2008 to provide the Oklahoma Water Resources Board (OWRB) hydrogeologic data and a groundwater flow model that can be used as a tool to help manage the aquifer. The 1973 Oklahoma water law requires the OWRB to do hydrologic investigations of Oklahoma's aquifers (termed 'groundwater basins') and to determine amounts of water that may be withdrawn by permitted water users. 'Maximum annual yield' is a term used by OWRB to describe the total amount of water that can be withdrawn from a specific aquifer in any year while allowing a minimum 20-year life of the basin (Oklahoma Water Resources Board, 2010). Currently (2010), the maximum annual yield has not been determined for the Central Oklahoma aquifer. Until the maximum annual yield determination is made, water users are issued a temporary permit by the OWRB for 2 acre-feet/acre per year. The objective of the study, in cooperation with the Oklahoma Water Resources Board, was to study the hydrogeology of the Central Oklahoma aquifer to provide information that will enable the OWRB to determine the maximum annual yield of the aquifer based on different proposed management plans. Groundwater flow models are typically used by the OWRB as a tool to help determine the maximum annual yield.\r\n\r\nThis report presents the potentiometric surface of the Central Oklahoma aquifer based on water-level data collected in 2009 as part of the current (2010) hydrologic study. The U.S. Geological Survey (USGS) Hydrologic Investigations Atlas HA-724 by Christenson and others (1992) presents the 1986-87 potentiometric-surface map. This 1986-87 potentiometric-surface map was made as part of the USGS National Water-Quality Assessment pilot project for the Central Oklahoma aquifer that examined the geochemical and hydrogeological processes operating in the aquifer. An attempt was made to obtain water-level measurements for the 2009 potentiometric-surface map from the wells used for the 1986-87 potentiometric-surface map. Well symbols with circles on the 2009 potentiometric-surface map (fig. 1) indicate wells that were used for the 1986-87 potentiometric-surface map. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3147","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Mashburn, S.L., and Magers, J., 2011, Potentiometric surface in the Central Oklahoma (Garber-Wellington) aquifer, Oklahoma, 2009: U.S. Geological Survey Scientific Investigations Map 3147, Map Sheet: 25.02 inches x 28 inches, https://doi.org/10.3133/sim3147.","productDescription":"Map Sheet: 25.02 inches x 28 inches","additionalOnlineFiles":"N","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":116973,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3147.gif"},{"id":14553,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3147/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.75,34.75 ], [ -97.75,36 ], [ -96.5,36 ], [ -96.5,34.75 ], [ -97.75,34.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67bfe4","contributors":{"authors":[{"text":"Mashburn, Shana L. 0000-0001-5163-778X shanam@usgs.gov","orcid":"https://orcid.org/0000-0001-5163-778X","contributorId":2140,"corporation":false,"usgs":true,"family":"Mashburn","given":"Shana","email":"shanam@usgs.gov","middleInitial":"L.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magers, Jessica","contributorId":36667,"corporation":false,"usgs":true,"family":"Magers","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":307568,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":9000747,"text":"gip124 - 2011 - Lidar postcards","interactions":[],"lastModifiedDate":"2012-02-02T00:15:51","indexId":"gip124","displayToPublicDate":"2011-03-16T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"124","title":"Lidar postcards","docAbstract":"The U.S. Geological Survey (USGS) Coastal and Marine Geology Program develops and uses specialized technology to build high-resolution topographic and habitat maps. High-resolution maps of topography, bathymetry, and habitat describe important features affected by coastal-management decisions. The mapped information serves as a baseline for evaluating resources and tracking the effectiveness of resource- and conservation-management decisions. These data products are critical to researchers, decision makers, resource managers, planners, and the public. 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Project activities include field assessment, experimental laboratory studies, and evaluation of existing data. The USGS is participating in international and interagency working groups to develop research strategies to increase understanding of the global implications of ocean acidification. Research strategies include new approaches for seawater chemistry observation and modeling, assessment of physiological effects on organisms, changes in marine ecosystem structure, new technologies, and information resources. These postcards highlight ongoing USGS research efforts in ocean acidification and carbon cycling in marine and coastal ecosystems in three different regions: polar, temperate, and tropical. 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Immediately after the Deepwater Horizon event, the USGS began responding to data requests, directing response personnel, and providing coastal and shelf geophysical data to coastal-resource managers. The USGS provided oil-spill responders with up-to-date coastal bathymetry, geologic data, and maps characterizing vulnerability and levels of risk from potential spill impacts in Louisiana, Mississippi, and Alabama. Baseline conditions prior to any spill impacts were documented through programs that included shoreline sampling and sediment coring from east Texas to the east coast of Florida and aerial photography of many environmentally sensitive Gulf coastal areas. The USGS responded to numerous verbal and written data requests from Federal, State, and local partners and academic institutions with USGS scientific staff participating in the Coast Guard Unified Commands (UC) and Operational Science Advisory Teams (OSAT). 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2011 - Data for giant constrictors - Biological management profiles and an establishment risk assessment for nine large species of pythons, anacondas, and the boa constrictor","interactions":[],"lastModifiedDate":"2012-02-02T00:15:52","indexId":"ds579","displayToPublicDate":"2011-03-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"579","title":"Data for giant constrictors - Biological management profiles and an establishment risk assessment for nine large species of pythons, anacondas, and the boa constrictor","docAbstract":"Giant Constrictors' Climate Space\r\nThe giant constrictors' climate space data set represents the information needed to recreate the climate space and climate matching analyses in Reed and Rodda (2009). A detailed methodology and results are included in that report. The data include locations for nine species of large constrictors including Python molurus, Broghammerus reticulatus, P. sebae, P. natalensis, Boa constrictor, Eunectes notaeus, E. deschauenseei, E. beniensis, and E. murinus. The locations are from published sources. Climate data are included for monthly precipitation and average monthly temperature along with the species locations. The individual spreadsheets of location data match the figures in the Reed and Rodda (2009) report, illustrating areas of the mainland United States that match the climate envelope of the native range.\r\nThe precipitation and temperature data at each location were used to determine the climate space for each species. Graphs of climate space formed the basis for the algorithms in the data set, and more details can be found in Reed and Rodda (2009). These algorithms were used in ArcGIS to generate maps of areas in the United States that matched the climate space of locations of the snakes in their native range. We discovered a rounding error in ArcGIS in the implementation of the algorithms, which has been corrected here. Therefore the shapefiles are slightly different than those appearing in the risk assessment figures illustrating areas of the United States that match the climate envelope of the species in their native ranges. However, the suitable localities are not different at the scale of intended use for these maps, although there are more noticeable differences between areas classified as 'too cold' and 'too hot'. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds579","usgsCitation":"Jarnevich, C., Rodda, G., and Reed, R., 2011, Data for giant constrictors - Biological management profiles and an establishment risk assessment for nine large species of pythons, anacondas, and the boa constrictor: U.S. Geological Survey Data Series 579, Downloads Directory, https://doi.org/10.3133/ds579.","productDescription":"Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":116969,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_579.bmp"},{"id":14544,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/579/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c9bf","contributors":{"authors":[{"text":"Jarnevich, C. 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This publication describes and provides access to an easy-to-use coastal SST dataset for ecologists, biogeographers, oceanographers, and other scientists conducting research on nearshore marine habitats or processes. The data cover the Temperate Northern Pacific Ocean as defined by the 'Marine Ecosystems of the World' (MEOW) biogeographic schema developed by The Nature Conservancy. The spatial resolution of the SST data is 4-km grid cells within 20 km of the shore. The data span a 29-year period - from September 1981 to December 2009. These SST data were derived from Advanced Very High Resolution Radiometer (AVHRR) instrument measurements compiled into monthly means as part of the Pathfinder versions 5.0 and 5.1 (PFSST V50 and V51) Project. The processing methods used to transform the data from their native Hierarchical Data Format Scientific Data Set (HDF SDS) to georeferenced, spatial datasets capable of being read into geographic information systems (GIS) software are explained. In addition, links are provided to examples of scripts involved in the data processing steps. The scripts were written in the Python programming language, which is supported by ESRI's ArcGIS version 9 or later. The processed data files are also provided in text (.csv) and Access 2003 Database (.mdb) formats. All data except the raster files include attributes identifying realm, province, and ecoregion as defined by the MEOW classification schema.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101251","usgsCitation":"Payne, M.C., Reusser, D.A., Lee, H., and Brown, C.A., 2011, Moderate-resolution sea surface temperature data for the nearshore North Pacific: U.S. Geological Survey Open-File Report 2010-1251, Report: iv, 16 p.; Dataset, https://doi.org/10.3133/ofr20101251.","productDescription":"Report: iv, 16 p.; Dataset","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":19222,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1251/","linkFileType":{"id":5,"text":"html"}},{"id":485457,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://www.sciencebase.gov/catalog/item/57ec36d7e4b090825010b8a7","linkHelpText":"- Data Catalog for Moderate-Resolution Sea Surface Temperature Data for the Nearshore North Pacific (1981-2009)"},{"id":116964,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1251.png"},{"id":485458,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1251/images/OFR2010-1251.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"Canada, China, Japan, Korea, Mexico, Russia, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 179.9,\n 70\n ],\n [\n 118,\n 70\n ],\n [\n 118,\n 20\n ],\n [\n 179.9,\n 20\n ],\n [\n 179.9,\n 70\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.9,\n 70\n ],\n [\n -179.9,\n 20\n ],\n [\n -105,\n 20\n ],\n [\n -105,\n 70\n ],\n [\n -179.9,\n 70\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db6996d2","contributors":{"authors":[{"text":"Payne, Meredith C.","contributorId":102993,"corporation":false,"usgs":true,"family":"Payne","given":"Meredith","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":344406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reusser, Deborah A. dreusser@usgs.gov","contributorId":2423,"corporation":false,"usgs":true,"family":"Reusser","given":"Deborah","email":"dreusser@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":344403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Henry II","contributorId":40334,"corporation":false,"usgs":true,"family":"Lee","given":"Henry","suffix":"II","affiliations":[],"preferred":false,"id":344404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Cheryl A.","contributorId":69284,"corporation":false,"usgs":true,"family":"Brown","given":"Cheryl","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":344405,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":99090,"text":"sir20105221 - 2011 - Simulation of streamflow in the Pleasant, Narraguagus, Sheepscot, and Royal Rivers, Maine, using watershed models","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"sir20105221","displayToPublicDate":"2011-03-10T00:00:00","publicationYear":"2011","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":"2010-5221","title":"Simulation of streamflow in the Pleasant, Narraguagus, Sheepscot, and Royal Rivers, Maine, using watershed models","docAbstract":"The U.S. Geological Survey (USGS) began a study in 2008 to investigate anticipated changes in summer streamflows and stream temperatures in four coastal Maine river basins and the potential effects of those changes on populations of endangered Atlantic salmon. To achieve this purpose, it was necessary to characterize the quantity and timing of streamflow in these rivers by developing and evaluating a distributed-parameter watershed model for a part of each river basin by using the USGS Precipitation-Runoff Modeling System (PRMS). The GIS (geographic information system) Weasel, a USGS software application, was used to delineate the four study basins and their many subbasins, and to derive parameters for their geographic features. The models were calibrated using a four-step optimization procedure in which model output was evaluated against four datasets for calibrating solar radiation, potential evapotranspiration, annual and seasonal water balances, and daily streamflows. The calibration procedure involved thousands of model runs that used the USGS software application Luca (Let us calibrate). Luca uses the Shuffled Complex Evolution (SCE) global search algorithm to calibrate the model parameters. The calibrated watershed models performed satisfactorily, in that Nash-Sutcliffe efficiency (NSE) statistic values for the calibration periods ranged from 0.59 to 0.75 (on a scale of negative infinity to 1) and NSE statistic values for the evaluation periods ranged from 0.55 to 0.73. The calibrated watershed models simulate daily streamflow at many locations in each study basin. These models enable natural resources managers to characterize the timing and amount of streamflow in order to support a variety of water-resources efforts including water-quality calculations, assessments of water use, modeling of population dynamics and migration of Atlantic salmon, modeling and assessment of habitat, and simulation of anticipated changes to streamflow and water temperature resulting from changes forecast for air temperature and precipitation.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105221","usgsCitation":"Dudley, R.W., and Nielsen, M.G., 2011, Simulation of streamflow in the Pleasant, Narraguagus, Sheepscot, and Royal Rivers, Maine, using watershed models: U.S. Geological Survey Scientific Investigations Report 2010-5221, vi, 31 p., https://doi.org/10.3133/sir20105221.","productDescription":"vi, 31 p.","additionalOnlineFiles":"N","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":116262,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5221.gif"},{"id":14539,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5221/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71,43 ], [ -71,46 ], [ -67,46 ], [ -67,43 ], [ -71,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f7e4b07f02db5f1fb1","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nielsen, Martha G. 0000-0003-3038-9400 mnielsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3038-9400","contributorId":4169,"corporation":false,"usgs":true,"family":"Nielsen","given":"Martha","email":"mnielsen@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307531,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":9000634,"text":"ofr20101293 - 2011 - Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2010: Quality-assurance data and comparison to water-quality standards","interactions":[],"lastModifiedDate":"2022-10-05T18:11:43.42342","indexId":"ofr20101293","displayToPublicDate":"2011-03-10T00:00:00","publicationYear":"2011","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":"2010-1293","title":"Total dissolved gas and water temperature in the lower Columbia River, Oregon and Washington, water year 2010: Quality-assurance data and comparison to water-quality standards","docAbstract":"When water is released through the spillways of dams, air is entrained in the water, increasing the downstream concentration of dissolved gases. Excess dissolved-gas concentrations can have adverse effects on freshwater aquatic life. The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, collected dissolved-gas and water-temperature data at eight monitoring stations on the lower Columbia River in Oregon and Washington in 2010. Significant findings from the data include:
\nThe National Park Service (NPS) estimates that 234 national parks contain nonnative, invasive animal species that are of management concern (National Park Service, 2004). Understanding and controlling invasive species is thus an important priority within the NPS (National Park Service, 1996). The slider turtle (Trachemys scripta) is one such invasive species. Native to the Southeastern United States (Ernst and Lovich, 2009), as well as Mexico, Central America, and portions of South America (Ernst and Barbour, 1989), the slider turtle has become established throughout the continental United States and in other locations around the world (Burke and others, 2000). Slider turtle introductions have been suspected to be a threat to native turtles (Holland 1994; da Silva and Blasco, 1995), however, there has not been serious study of their effects until recently. Cadi and Joly (2003) found that slider turtles outcompeted European pond turtles (Emys orbicularis) for preferred basking sites under controlled experimental conditions, demonstrating for the first time direct competition for resources between a native and an exotic turtle species. Similarly, Spinks and others (2003) suggested that competition for basking sites between slider turtles and Pacific pond turtles (Actinemys marmorata) was partly responsible for the decline of Pacific pond turtles observed at their study site in California. They concluded that the impact of introduced slider turtles was 'almost certainly negative' for the western pond turtle. In the most recent critical study to assess the effects of introduced slider turtles on native turtles, Cadi and Joly (2004) demonstrated that European pond turtles that were kept under experimentally controlled conditions with slider turtles lost body weight and exhibited higher rates of mortality than in control groups of turtles comprised of the same species, demonstrating potential population-level effects on native species. Slider turtles are not native to Arizona but have been introduced in several areas in the southern and central part of the State, including Montezuma Well (the Well). The only native turtle at the Well is the Sonora mud turtle (Kinosternon sonoriense). Interactions between sliders and mud turtles have not been investigated at the Well or elsewhere. However, basking sites preferred by aquatic turtles are rare at the Well, suggesting one potential avenue for resource competition between sliders and Sonora mud turtles. In this study, we collected data on both species to evaluate the possible effects of slider turtles on Sonora mud turtles at Montezuma Well. During live trapping in the spring, summer, and early fall of 2007 and 2008, we removed slider turtles that we captured in the Well. We also collected ecological data on the mud turtles captured in the trapping effort. Separate behavioral observations of the turtles in the Well provided additional information on the ecology of the two species in the unusual environment of the Well, and also of interactions between the sliders and mud turtles. In this report, we describe the results of 2 yr of study of the turtles of Montezuma Well. We incorporate older data on the mud turtles in the Well to assess long-term population trends and potential response to the introduced slider turtles. We also report on aspects of basic ecology for the poorly understood Sonora mud turtle. The National Park Service requested that we incorporate public outreach as part of this research effort, so we also describe the outreach efforts associated with the turtle study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101177","collaboration":"In cooperation with National Park Service, Montezuma Castle National Monument ","usgsCitation":"Drost, C.A., Lovich, J.E., Madrak, S.V., and Monatesti, A., 2011, Removal of nonnative slider turtles (Trachemys scripta) and effects on native Sonora mud turtles (Kinosternon sonoriense) at Montezuma Well, Yavapai County, Arizona: U.S. Geological Survey Open-File Report 2010-1177, vi, 41 p.; Appendices, https://doi.org/10.3133/ofr20101177.","productDescription":"vi, 41 p.; Appendices","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":116963,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1177.gif"},{"id":321482,"rank":201,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1177/of2010-1177.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":19221,"rank":200,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1177/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.83333333333333,34.666666666666664 ], [ -111.83333333333333,34.75 ], [ -111.75,34.75 ], [ -111.75,34.666666666666664 ], [ -111.83333333333333,34.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a5fe4b07f02db6342a9","contributors":{"authors":[{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":344400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":344399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madrak, Sheila V.","contributorId":7403,"corporation":false,"usgs":true,"family":"Madrak","given":"Sheila","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":344401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monatesti, A.J.","contributorId":98026,"corporation":false,"usgs":true,"family":"Monatesti","given":"A.J.","affiliations":[],"preferred":false,"id":344402,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":99087,"text":"ds554 - 2011 - Rainfall and evapotranspiration data for southwest Medina County, Texas, August 2006-December 2009","interactions":[],"lastModifiedDate":"2016-08-11T15:57:11","indexId":"ds554","displayToPublicDate":"2011-03-09T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"554","title":"Rainfall and evapotranspiration data for southwest Medina County, Texas, August 2006-December 2009","docAbstract":"During August 2006-December 2009, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, Fort Worth District, collected rainfall and evapotranspiration data to help characterize the hydrology of the Nueces River Basin, Texas. The USGS installed and operated a station to collect continuous (30-minute interval) rainfall and evapotranspiration data in southwest Medina County approximately 14 miles southwest of D'Hanis, Texas, and 23 miles northwest of Pearsall, Texas. Rainfall data were collected by using an 8-inch tipping bucket raingage. Meteorological and surface-energy flux data used to calculate evapotranspiration were collected by using an extended Open Path Eddy Covariance system from Campbell Scientific, Inc. Data recorded by the system were used to calculate evapotranspiration by using the eddy covariance and Bowen ratio closure methods and to analyze the surface energy budget closure. During August 2006-December 2009 (excluding days of missing record), measured rainfall totaled 86.85 inches. In 2007, 2008, and 2009, annual rainfall totaled 40.98, 12.35, and 27.15 inches, respectively. The largest monthly rainfall total, 12.30 inches, occurred in July 2007. During August 2006-December 2009, evapotranspiration calculated by using the eddy covariance method totaled 69.91 inches. Annual evapotranspiration calculated by using the eddy covariance method totaled 34.62 inches in 2007, 15.24 inches in 2008, and 15.57 inches in 2009. During August 2006-December 2009, evapotranspiration calculated by using the Bowen ratio closure method (the more refined of the two datasets) totaled 68.33 inches. Annual evapotranspiration calculated by using the Bowen ratio closure method totaled 32.49, 15.54, and 15.80 inches in 2007, 2008, and 2009, respectively (excluding days of missing record).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/ds554","collaboration":"In cooperation with the U.S. Army Corps of Engineers, Fort Worth District","usgsCitation":"Slattery, R.N., Asquith, W.H., and Ockerman, D.J., 2011, Rainfall and evapotranspiration data for southwest Medina County, Texas, August 2006-December 2009: U.S. Geological Survey Data Series 554, viii, 28 p.; Download Files: Appendix 1.1; Appendix 1.2; Appendix 1.3; Appendix 1.4, https://doi.org/10.3133/ds554.","productDescription":"viii, 28 p.; Download Files: Appendix 1.1; Appendix 1.2; Appendix 1.3; Appendix 1.4","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2006-08-01","temporalEnd":"2009-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116251,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_554.png"},{"id":14536,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/554/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.5,28.916666666666668 ], [ -99.5,29.416666666666668 ], [ -99,29.416666666666668 ], [ -99,28.916666666666668 ], [ -99.5,28.916666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db64984b","contributors":{"authors":[{"text":"Slattery, Richard N. 0000-0002-9141-9776 rnslatte@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-9776","contributorId":2471,"corporation":false,"usgs":true,"family":"Slattery","given":"Richard","email":"rnslatte@usgs.gov","middleInitial":"N.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307515,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":99085,"text":"sir20105261 - 2011 - Water budgets and groundwater volumes for abandoned underground mines in the Western Middle Anthracite Coalfield, Schuylkill, Columbia, and Northumberland Counties, Pennsylvania: Preliminary estimates with identification of data needs","interactions":[],"lastModifiedDate":"2022-12-14T22:39:01.124677","indexId":"sir20105261","displayToPublicDate":"2011-03-09T00:00:00","publicationYear":"2011","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":"2010-5261","title":"Water budgets and groundwater volumes for abandoned underground mines in the Western Middle Anthracite Coalfield, Schuylkill, Columbia, and Northumberland Counties, Pennsylvania: Preliminary estimates with identification of data needs","docAbstract":"This report, prepared in cooperation with the Pennsylvania Department of Environmental Protection (PaDEP), the Eastern Pennsylvania Coalition for Abandoned Mine Reclamation, and the Dauphin County Conservation District, provides estimates of water budgets and groundwater volumes stored in abandoned underground mines in the Western Middle Anthracite Coalfield, which encompasses an area of 120 square miles in eastern Pennsylvania. The estimates are based on preliminary simulations using a groundwater-flow model and an associated geographic information system that integrates data on the mining features, hydrogeology, and streamflow in the study area. The Mahanoy and Shamokin Creek Basins were the focus of the study because these basins exhibit extensive hydrologic effects and water-quality degradation from the abandoned mines in their headwaters in the Western Middle Anthracite Coalfield. Proposed groundwater withdrawals from the flooded parts of the mines and stream-channel modifications in selected areas have the potential for altering the distribution of groundwater and the interaction between the groundwater and streams in the area.\r\nPreliminary three-dimensional, steady-state simulations of groundwater flow by the use of MODFLOW are presented to summarize information on the exchange of groundwater among adjacent mines and to help guide the management of ongoing data collection, reclamation activities, and water-use planning. The conceptual model includes high-permeability mine voids that are connected vertically and horizontally within multicolliery units (MCUs). MCUs were identified on the basis of mine maps, locations of mine discharges, and groundwater levels in the mines measured by PaDEP. The locations and integrity of mine barriers were determined from mine maps and groundwater levels. The permeability of intact barriers is low, reflecting the hydraulic characteristics of unmined host rock and coal.\r\nA steady-state model was calibrated to measured groundwater levels and stream base flow, the latter at many locations composed primarily of discharge from mines. Automatic parameter estimation used MODFLOW-2000 with manual adjustments to constrain parameter values to realistic ranges. The calibrated model supports the conceptual model of high-permeability MCUs separated by low-permeability barriers and streamflow losses and gains associated with mine infiltration and discharge. The simulated groundwater levels illustrate low groundwater gradients within an MCU and abrupt changes in water levels between MCUs. The preliminary model results indicate that the primary result of increased pumping from the mine would be reduced discharge from the mine to streams near the pumping wells. The intact barriers limit the spatial extent of mine dewatering. Considering the simulated groundwater levels, depth of mining, and assumed bulk porosity of 11 or 40 percent for the mined seams, the water volume in storage in the mines of the Western Middle Anthracite Coalfield was estimated to range from 60 to 220 billion gallons, respectively.\r\nDetails of the groundwater-level distribution and the rates of some mine discharges are not simulated well using the preliminary model. Use of the model results should be limited to evaluation of the conceptual model and its simulation using porous-media flow methods, overall water budgets for the Western Middle Anthracite Coalfield, and approximate storage volumes. Model results should not be considered accurate for detailed simulation of flow within a single MCU or individual flooded mine. Although improvements in the model calibration were possible by introducing spatial variability in permeability parameters and adjusting barrier properties, more detailed parameterizations have increased uncertainty because of the limited data set.\r\nThe preliminary identification of data needs includes continuous streamflow, mine discharge rate, and groundwater levels in the mines and adjacent areas. Data collected whe","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105261","collaboration":"Prepared in cooperation Pennsylvania Department of Environmental Protection, Eastern Pennsylvania Coalition for Abandoned Mine Reclamation, and Dauphin County Conservation District","usgsCitation":"Goode, D., Cravotta, C.A., Hornberger, R.J., Hewitt, M.A., Hughes, R.E., Koury, D.J., and Eicholtz, L., 2011, Water budgets and groundwater volumes for abandoned underground mines in the Western Middle Anthracite Coalfield, Schuylkill, Columbia, and Northumberland Counties, Pennsylvania: Preliminary estimates with identification of data needs: U.S. Geological Survey Scientific Investigations Report 2010-5261, vii, 54 p., https://doi.org/10.3133/sir20105261.","productDescription":"vii, 54 p.","additionalOnlineFiles":"N","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":116258,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5261.png"},{"id":410516,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95039.htm","linkFileType":{"id":5,"text":"html"}},{"id":14534,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5261/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Columbia County, Northumberland County, Schuylkill County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.8333,\n 40.7042\n ],\n [\n -76.8333,\n 40.8653\n ],\n [\n -76.0431,\n 40.8653\n ],\n [\n -76.0431,\n 40.7042\n ],\n [\n -76.8333,\n 40.7042\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5fa305","contributors":{"authors":[{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":307505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III, 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":2193,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III,","email":"cravotta@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":307504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hornberger, Roger J.","contributorId":38697,"corporation":false,"usgs":true,"family":"Hornberger","given":"Roger","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":307507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hewitt, Michael A.","contributorId":63933,"corporation":false,"usgs":true,"family":"Hewitt","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":307508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, Robert E.","contributorId":83247,"corporation":false,"usgs":true,"family":"Hughes","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":307510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koury, Daniel J.","contributorId":78067,"corporation":false,"usgs":true,"family":"Koury","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":307509,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eicholtz, Lee W. eicholtz@usgs.gov","contributorId":3928,"corporation":false,"usgs":true,"family":"Eicholtz","given":"Lee W.","email":"eicholtz@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307506,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173477,"text":"70173477 - 2011 - Implications of community concordance for assessing stream integrity at three nested spatial scales in Minnesota, U.S.A.","interactions":[],"lastModifiedDate":"2021-03-25T19:46:10.797249","indexId":"70173477","displayToPublicDate":"2011-03-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Implications of community concordance for assessing stream integrity at three nested spatial scales in Minnesota, U.S.A.","docAbstract":"1. Fish and invertebrate assemblage data collected from 670 stream sites in Minnesota (U.S.A.) were used to calculate concordance across three nested spatial scales (statewide, ecoregion and catchment). Predictive taxa richness models, calibrated using the same data, were used to evaluate whether concordant communities exhibited similar trends in human‐induced taxa loss across all three scales. Finally, we evaluated the strength of the relationship between selected environmental variables and the composition of both assemblages at all three spatial scales.
2. Significant concordance between fish and invertebrate communities occurred at the statewide scale as well as in six of seven ecoregions and 17 of the 21 major catchments. However, concordance was not consistently indicative of significant relationships between rates of fish and invertebrate taxa loss at those same scales.
3. Fish and invertebrate communities were largely associated with different environmental variables, although the composition of both communities was strongly correlated with stream size across all three scales.
4. Predictive taxa‐loss models for fish assemblages were less sensitive and precise than models for invertebrate assemblages, likely because of the relatively low number of common fish taxa in our data set. Both models, however, distinguished reference from non‐reference sites.
5. The importance of concordance, geographic context and scale are discussed in relation to the design and interpretation of stream integrity indicators. In particular, our findings suggest that community concordance should not be viewed as a substitute for an evaluation of how assemblages respond to environmental stressors.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2427.2011.02589.x","usgsCitation":"Dolph, C.L., Huff, D.D., Chizinski, C.J., and Vondracek, B.C., 2011, Implications of community concordance for assessing stream integrity at three nested spatial scales in Minnesota, U.S.A.: Freshwater Biology, v. 56, no. 8, p. 1652-1669, https://doi.org/10.1111/j.1365-2427.2011.02589.x.","productDescription":"18 p.","startPage":"1652","endPage":"1669","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022903","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vondracek, Bruce C. bcv@usgs.gov","contributorId":904,"corporation":false,"usgs":true,"family":"Vondracek","given":"Bruce","email":"bcv@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637179,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70003883,"text":"70003883 - 2011 - Classifying the water table at regional to continental scales","interactions":[],"lastModifiedDate":"2016-06-29T14:45:20","indexId":"70003883","displayToPublicDate":"2011-03-05T03:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Classifying the water table at regional to continental scales","docAbstract":"Water tables at regional to continental scales can be classified into two distinct types: recharge-controlled water tables that are largely disconnected from topography and topography-controlled water tables that are closely tied to topography. We use geomatic synthesis of hydrologic, geologic and topographic data sets to quantify and map water-table type over the contiguous United States using a dimensionless criterion introduced by Haitjema and Mitchell-Bruker (2005), called the water-table ratio, which differentiates water-table type. Our analysis indicates that specific regions of the United States have broadly contiguous and characteristic water-table types. Water-table ratio relates to water-table depth and the potential for regional groundwater flow. In regions with recharge-controlled water tables, for example the Southwest or Rocky Mountains, USA, water-tables depths are generally greater and more variable and regional groundwater flow is generally more important as a percentage of the watershed budget. Water-table depths are generally shallow and less variable, and regional groundwater flow is limited in areas with topography-controlled water tables such as the Northeast USA. The water-table ratio is a simple but powerful criterion for evaluating regional groundwater systems over broad areas.
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]\n}","volume":"38","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-03-05","publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672b81","contributors":{"authors":[{"text":"Gleeson, Tom","contributorId":42694,"corporation":false,"usgs":false,"family":"Gleeson","given":"Tom","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":349283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marklund, Lars","contributorId":102995,"corporation":false,"usgs":true,"family":"Marklund","given":"Lars","email":"","affiliations":[],"preferred":false,"id":349285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Leslie","contributorId":52307,"corporation":false,"usgs":true,"family":"Smith","given":"Leslie","email":"","affiliations":[],"preferred":false,"id":349284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":349282,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":99081,"text":"ofr20101106 - 2011 - Report of the River Master of the Delaware River for the period December 1, 2004-November 30, 2005","interactions":[],"lastModifiedDate":"2012-02-02T00:15:20","indexId":"ofr20101106","displayToPublicDate":"2011-03-05T00:00:00","publicationYear":"2011","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":"2010-1106","title":"Report of the River Master of the Delaware River for the period December 1, 2004-November 30, 2005","docAbstract":"A Decree of the Supreme Court of the United States, entered in 1954, established the position of Delaware River Master within the U.S. Geological Survey. In addition, the Decree authorizes diversions of water from the Delaware River Basin and requires compensating releases from certain reservoirs, owned by New York City, to be made under the supervision and direction of the River Master. The Decree stipulates that the River Master will furnish reports to the Court, not less frequently than annually. This report is the 52nd Annual Report of the River Master of the Delaware River. It covers the 2005 River Master report year; that is, the period from December 1, 2004, to November 30, 2005.\r\n\r\nDuring the report year, precipitation in the upper Delaware River Basin was 7.56 in., or 117 percent of the long-term average. Combined storage in Pepacton, Cannonsville, and Neversink Reservoirs remained high from December 2004 to May 2005 and reached a record high level on April 3, 2005. Reservoir storage decreased steadily from May to early October, then increased rapidly through the end of November. Delaware River operations throughout the year were conducted as stipulated by the Decree.\r\n\r\nDiversions from the Delaware River Basin by New York City and New Jersey were in compliance with the Decree. Reservoir releases were made as directed by the River Master at rates designed to meet the flow objective for the Delaware River at Montague, New Jersey, on 120 days during the report year. Releases were made at conservation rates-or rates designed to relieve thermal stress and protect the fishery and aquatic habitat in the tailwaters of the reservoirs-on all other days.\r\n\r\nDuring the report year, New York City and New Jersey complied fully with the terms of the Decree, and directives and requests of the River Master.\r\n\r\nAs part of a long-term program, the quality of water in the Delaware Estuary between Trenton, New Jersey, and Reedy Island Jetty, Delaware, was monitored at various locations. Data on water temperature, specific conductance, dissolved oxygen, and pH were collected continuously by electronic instruments at four sites. In addition, selected water-quality data were collected at 3 sites on a monthly basis and at 19 sites on a twice-monthly basis.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101106","usgsCitation":"Krejmas, B.E., Paulachok, G.N., and Blanchard, S.F., 2011, Report of the River Master of the Delaware River for the period December 1, 2004-November 30, 2005: U.S. Geological Survey Open-File Report 2010-1106, vi, 86 p., https://doi.org/10.3133/ofr20101106.","productDescription":"vi, 86 p.","additionalOnlineFiles":"N","temporalStart":"2004-12-01","temporalEnd":"2005-11-30","costCenters":[{"id":217,"text":"Delaware River Master","active":false,"usgs":true}],"links":[{"id":116021,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1106.gif"},{"id":14530,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1106/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a5ee4b07f02db633b40","contributors":{"authors":[{"text":"Krejmas, Bruce E.","contributorId":102501,"corporation":false,"usgs":true,"family":"Krejmas","given":"Bruce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":307493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paulachok, Gary N. gnpaulac@usgs.gov","contributorId":3500,"corporation":false,"usgs":true,"family":"Paulachok","given":"Gary","email":"gnpaulac@usgs.gov","middleInitial":"N.","affiliations":[],"preferred":true,"id":307491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blanchard, Stephen F.","contributorId":54966,"corporation":false,"usgs":true,"family":"Blanchard","given":"Stephen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":307492,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":99080,"text":"sir20105255 - 2011 - A digital terrain model of bathymetry and shallow-zone bottom-substrate classification for Spednic Lake and estimates of lake-level-dependent habitat to support smallmouth bass persistence modeling","interactions":[],"lastModifiedDate":"2023-12-14T19:31:51.140345","indexId":"sir20105255","displayToPublicDate":"2011-03-05T00:00:00","publicationYear":"2011","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":"2010-5255","title":"A digital terrain model of bathymetry and shallow-zone bottom-substrate classification for Spednic Lake and estimates of lake-level-dependent habitat to support smallmouth bass persistence modeling","docAbstract":"In 2009, the U.S. Geological Survey entered into a cooperative agreement with the International Joint Commission, St. Croix River Board to do an analysis of historical smallmouth bass habitat as a function of lake level for Spednic Lake in an effort to quantify the effects, if any, of historical lake-level management and meteorological conditions (from 1970 to 2009) on smallmouth bass year-class failure. The analysis requires estimating habitat availability as a function of lake level during spawning periods from 1970 to 2009, which is documented in this report. Field work was done from October 19 to 23, and from November 2 to 10, 2009, to acquire acoustic bathymetric (depth) data and acoustic data indicating the character of the surficial lake-bottom sediments. Historical lake-level data during smallmouth bass spawning (May-June) were applied to the bathymetric and surficial-sediment type data sets to produce annual historic estimates of smallmouth-bass-spawning-habitat area. Results show that minimum lake level during the spawning period explained most of the variability (R2 = 0.89) in available spawning habitat for nearshore areas of shallow slope (less than 10 degrees) on the basis of linear correlation. The change in lake level during the spawning period explained most of the variability (R2 = 0.90) in available spawning habitat for areas of steeper slopes (10 to 40 degrees) on the basis of linear correlation. The next step in modeling historic smallmouth bass year-class persistence is to combine this analysis of the effects of lake-level management on habitat availability with meteorological conditions.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105255","collaboration":"Prepared in cooperation with the International Joint Commission, International St. Croix River Watershed Board","usgsCitation":"Dudley, R.W., Schalk, C.W., Stasulis, N.W., and Trial, J.G., 2011, A digital terrain model of bathymetry and shallow-zone bottom-substrate classification for Spednic Lake and estimates of lake-level-dependent habitat to support smallmouth bass persistence modeling: U.S. Geological Survey Scientific Investigations Report 2010-5255, vi, 18 p., https://doi.org/10.3133/sir20105255.","productDescription":"vi, 18 p.","additionalOnlineFiles":"N","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":423579,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95038.htm","linkFileType":{"id":5,"text":"html"}},{"id":116020,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5255.gif"},{"id":14529,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5255/","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Spednic Lake, St. Croix River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.12848812846265,\n 45.17183888440949\n ],\n [\n -68.02413711956018,\n 45.92158213293316\n ],\n [\n -67.53951255336902,\n 45.92369559065789\n ],\n [\n -67.03409924028345,\n 45.12380941051831\n ],\n [\n -67.75504495092216,\n 45.047758502732\n ],\n [\n -68.12848812846265,\n 45.17183888440949\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b25e4b07f02db6aed3b","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schalk, Charles W. cwschalk@usgs.gov","contributorId":1726,"corporation":false,"usgs":true,"family":"Schalk","given":"Charles","email":"cwschalk@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stasulis, Nicholas W. 0000-0001-7645-4867 nstasuli@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-4867","contributorId":4520,"corporation":false,"usgs":true,"family":"Stasulis","given":"Nicholas","email":"nstasuli@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trial, Joan G.","contributorId":91156,"corporation":false,"usgs":true,"family":"Trial","given":"Joan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":307490,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042494,"text":"70042494 - 2011 - Epistemic uncertainty in California-wide synthetic seismicity simulations","interactions":[],"lastModifiedDate":"2013-02-15T14:04:32","indexId":"70042494","displayToPublicDate":"2011-03-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Epistemic uncertainty in California-wide synthetic seismicity simulations","docAbstract":"The generation of seismicity catalogs on synthetic fault networks holds the promise of providing key inputs into probabilistic seismic-hazard analysis, for example, the coefficient of variation, mean recurrence time as a function of magnitude, the probability of fault-to-fault ruptures, and conditional probabilities for foreshock–mainshock triggering. I employ a seismicity simulator that includes the following ingredients: static stress transfer, viscoelastic relaxation of the lower crust and mantle, and vertical stratification of elastic and viscoelastic material properties. A cascade mechanism combined with a simple Coulomb failure criterion is used to determine the initiation, propagation, and termination of synthetic ruptures. It is employed on a 3D fault network provided by Steve Ward (unpublished data, 2009) for the Southern California Earthquake Center (SCEC) Earthquake Simulators Group. This all-California fault network, initially consisting of 8000 patches, each of ∼12 square kilometers in size, has been rediscretized into Graphic patches, each of ∼1 square kilometer in size, in order to simulate the evolution of California seismicity and crustal stress at magnitude M∼5–8. Resulting synthetic seismicity catalogs spanning 30,000 yr and about one-half million events are evaluated with magnitude-frequency and magnitude-area statistics. For a priori choices of fault-slip rates and mean stress drops, I explore the sensitivity of various constructs on input parameters, particularly mantle viscosity. Slip maps obtained for the southern San Andreas fault show that the ability of segment boundaries to inhibit slip across the boundaries (e.g., to prevent multisegment ruptures) is systematically affected by mantle viscosity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120100303","usgsCitation":"Pollitz, F., 2011, Epistemic uncertainty in California-wide synthetic seismicity simulations: Bulletin of the Seismological Society of America, v. 101, no. 5, p. 2481-2498, https://doi.org/10.1785/0120100303.","startPage":"2481","endPage":"2498","ipdsId":"IP-029518","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":267575,"type":{"id":11,"text":"Document"},"url":"https://profile.usgs.gov/myscience/upload_folder/ci2011Nov2813384037182AllCalif.pdf"},{"id":267576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267574,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120100303"}],"country":"United States","state":"California","volume":"101","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-09-26","publicationStatus":"PW","scienceBaseUri":"511f6715e4b03b29402c5dd7","contributors":{"authors":[{"text":"Pollitz, Fred F. fpollitz@usgs.gov","contributorId":2408,"corporation":false,"usgs":true,"family":"Pollitz","given":"Fred F.","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":471642,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":99071,"text":"fs20113011 - 2011 - Pesticides in Wyoming's rivers, 2006-10","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"fs20113011","displayToPublicDate":"2011-03-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3011","title":"Pesticides in Wyoming's rivers, 2006-10","docAbstract":"In 2006, the U.S. Geological Survey completed a study in cooperation with the Wyoming Department of Agriculture to determine the occurrence of pesticides in four major rivers within the Bighorn and North Platte River Basins in Wyoming. Surface-water samples were collected at five sites during three different times of the year and detectable concentrations of pesticides were measured in samples collected during all three sampling events. In 2009-10, the USGS, in cooperation with the WDA, resampled three of the sites from the 2006 study and three additional sites located in areas of interest to the State of Wyoming to further describe the occurrence of pesticides in Wyoming's rivers. The change was made in order to include sites located near cities and towns. Results from the 2009-10 sampling along with comparisons to data collected in 2006 are presented in this fact sheet.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20113011","collaboration":"Prepared in cooperation with Wyoming Department of Agriculture","usgsCitation":"Eddy-Miller, C., 2011, Pesticides in Wyoming's rivers, 2006-10: U.S. Geological Survey Fact Sheet 2011-3011, 4 p., https://doi.org/10.3133/fs20113011.","productDescription":"4 p.","additionalOnlineFiles":"N","temporalStart":"2006-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":126401,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3011.png"},{"id":14520,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3011/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,41 ], [ -111,45 ], [ -104,45 ], [ -104,41 ], [ -111,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db68826d","contributors":{"authors":[{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":307465,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}