{"pageNumber":"760","pageRowStart":"18975","pageSize":"25","recordCount":46681,"records":[{"id":70169303,"text":"70169303 - 2009 - Survival rates and lifetime reproduction of breeding male Cooper’s Hawks in Wisconsin, 1980-2005","interactions":[],"lastModifiedDate":"2016-03-24T11:28:46","indexId":"70169303","displayToPublicDate":"2009-09-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Survival rates and lifetime reproduction of breeding male Cooper’s Hawks in Wisconsin, 1980-2005","docAbstract":"<p><span>There are few published data on annual survival and no reports of lifetime reproduction for breeding Cooper's Hawks (</span><i>Accipiter cooperii</i><span>). Breeding males (</span><i>n</i><span>&nbsp; =  105) in central and southeastern Wisconsin had an annual mortality rate of 19%, or a survival rate of 81% for birds &le;10 years of age. We did not detect significant differences in mortality rates between urban and rural habitats, nor between the earlier 13 years and later 13 years of this study. Male Cooper's Hawks produced from zero to 32 nestlings during their lifetimes. Body mass or size appeared unrelated to annual survivorship and lifetime reproduction, although lifetime reproduction was correlated strongly with longevity of breeding males. Fifteen of 66 males (23%) produced most (53%) of the nestlings. Our studies occurred in an area where breeding populations may be increasing with some of the highest reported productivity indices and nesting densities for this species. Habitat used for nesting on our Wisconsin study areas may be less important for survivorship and lifetime reproduction than acquisition of a nesting area in which a male will breed throughout his life.</span></p>","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/08-149.1","usgsCitation":"Rosenfield, R.N., Bielefeldt, J., Rosenfield, L.J., Booms, T.L., and Bozek, M.A., 2009, Survival rates and lifetime reproduction of breeding male Cooper’s Hawks in Wisconsin, 1980-2005: Wilson Journal of Ornithology, v. 121, no. 3, p. 610-617, https://doi.org/10.1676/08-149.1.","productDescription":"8 p.","startPage":"610","endPage":"617","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017831","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":319358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Plover, Stevens Point, Whiting","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.50967407226562,\n              48.356249029540706\n            ],\n            [\n              -123.50967407226562,\n              48.539341045937974\n            ],\n            [\n              -123.18969726562499,\n              48.539341045937974\n            ],\n            [\n              -123.18969726562499,\n              48.356249029540706\n            ],\n            [\n              -123.50967407226562,\n              48.356249029540706\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.59882736206055,\n              44.44603621377982\n            ],\n            [\n              -89.59882736206055,\n              44.53836644772605\n            ],\n            [\n              -89.5136833190918,\n              44.53836644772605\n            ],\n            [\n              -89.5136833190918,\n              44.44603621377982\n            ],\n            [\n              -89.59882736206055,\n              44.44603621377982\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"121","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f50fd2e4b0f59b85e1ebcb","contributors":{"authors":[{"text":"Rosenfield, Robert N.","contributorId":94013,"corporation":false,"usgs":false,"family":"Rosenfield","given":"Robert","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":623494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bielefeldt, John","contributorId":127819,"corporation":false,"usgs":false,"family":"Bielefeldt","given":"John","email":"","affiliations":[],"preferred":false,"id":623615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenfield, Laura J.","contributorId":80073,"corporation":false,"usgs":true,"family":"Rosenfield","given":"Laura","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":623616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booms, Travis L.","contributorId":48813,"corporation":false,"usgs":true,"family":"Booms","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":623617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bozek, Michael A.","contributorId":51030,"corporation":false,"usgs":true,"family":"Bozek","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":623618,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70176798,"text":"70176798 - 2009 - Emergent insect production in post-harvest flooded agricultural fields used by waterbirds","interactions":[],"lastModifiedDate":"2017-04-27T10:26:32","indexId":"70176798","displayToPublicDate":"2009-09-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Emergent insect production in post-harvest flooded agricultural fields used by waterbirds","docAbstract":"<p><span>California’s Tulare Lake Basin (TLB) is one of the most important waterbird areas in North America even though most wetlands there have been converted to cropland. To guide management programs promoting waterbird beneficial agriculture, which includes flooding fields between growing periods, we measured emergence rates of insects, an important waterbird food, in three crop types (tomato, wheat, alfalfa) in the TLB relative to water depth and days flooded during August–October, 2003 and 2004. We used corrected Akaike’s Information Criterion values to compare a set of models that accounted for our repeated measured data. The best model included crop type and crop type interacting with days flooded and depth flooded. Emergence rates (mg m</span><sup>−2</sup><span> day</span><sup>−1</sup><span>) were greater in tomato than wheat or alfalfa fields, increased with days flooded in alfalfa and tomato but not wheat fields, and increased with water depth in alfalfa and wheat but not tomato fields. To investigate the relationship between the range of diel water temperatures and insect emergence rates, we reared</span><i class=\"EmphasisTypeItalic \">Chironomus dilutus</i><span> larvae in environmental chambers under high (15–32°C) and low fluctuation (20–26°C) temperature regimes that were associated with shallow and deep (respectively) sampling sites in our fields. Larval survival (4×) and biomass (2×) were greater in the low thermal fluctuation treatment suggesting that deeply flooded areas would support greater insect production.</span></p>","language":"English","publisher":"Springer","doi":"10.1672/07-169.1","usgsCitation":"Moss, R., Blumenshine, S.C., Yee, J., and Fleskes, J.P., 2009, Emergent insect production in post-harvest flooded agricultural fields used by waterbirds: Wetlands, v. 29, no. 3, p. 875-883, https://doi.org/10.1672/07-169.1.","productDescription":"9 p.","startPage":"875","endPage":"883","ipdsId":"IP-016291","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":329363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c08ae4b0bc0bec09c7d3","contributors":{"authors":[{"text":"Moss, Richard C.","contributorId":175175,"corporation":false,"usgs":false,"family":"Moss","given":"Richard C.","affiliations":[],"preferred":false,"id":650343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blumenshine, Steven C.","contributorId":175176,"corporation":false,"usgs":false,"family":"Blumenshine","given":"Steven","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":650344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yee, Julie","contributorId":10343,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","affiliations":[],"preferred":false,"id":650345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":1889,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":650346,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97798,"text":"fs20093073 - 2009 - Twelve Years of Monitoring Phosphorus and Suspended-Solids Concentrations and Yields in the North Fork Ninnescah River above Cheney Reservoir, South-Central Kansas 1997-2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"fs20093073","displayToPublicDate":"2009-09-01T00:00:00","publicationYear":"2009","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":"2009-3073","title":"Twelve Years of Monitoring Phosphorus and Suspended-Solids Concentrations and Yields in the North Fork Ninnescah River above Cheney Reservoir, South-Central Kansas 1997-2008","docAbstract":"Cheney Reservoir, located on the North Fork Ninnescah River in south-central Kansas, is the primary water supply for the city of Wichita and an important recreational resource. Concerns about taste-and-odor occurrences in Cheney Reservoir have drawn attention to potential pollutants, including total phosphorus (TP) and total suspended solids (TSS). July 2009 was the 15th anniversary of the establishment of the Cheney Reservoir Watershed pollution management plan. The U.S. Geological Survey (USGS), in cooperation with the city of Wichita, has collected water-quality data in the basin since 1996, and has monitored water quality continuously on the North Fork Ninnescah River since 1998. This fact sheet describes 12 years (1997-2008) of computed TP and TSS data and compares these data with water-quality goals for the North Fork Ninnescah River, the main tributary to Cheney Reservoir.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093073","collaboration":"Prepared in cooperation with the City of Wichita","usgsCitation":"Stone, M.L., Graham, J.L., and Ziegler, A., 2009, Twelve Years of Monitoring Phosphorus and Suspended-Solids Concentrations and Yields in the North Fork Ninnescah River above Cheney Reservoir, South-Central Kansas 1997-2008: U.S. Geological Survey Fact Sheet 2009-3073, 4 p., https://doi.org/10.3133/fs20093073.","productDescription":"4 p.","temporalStart":"1997-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":118569,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3073.jpg"},{"id":12966,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3073/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.25,37.5 ], [ -99.25,38.166666666666664 ], [ -97.58333333333333,38.166666666666664 ], [ -97.58333333333333,37.5 ], [ -99.25,37.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db6973ee","contributors":{"authors":[{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":303190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":303188,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236130,"text":"70236130 - 2009 - Seismic monitoring to assess performance of structures in near-real time: Recent progress","interactions":[],"lastModifiedDate":"2022-09-01T16:55:25.566509","indexId":"70236130","displayToPublicDate":"2009-08-30T07:13:45","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Seismic monitoring to assess performance of structures in near-real time: Recent progress","docAbstract":"<p><span>Earlier papers have described how observed data from classical accelerometers deployed in structures or from differential GPS with high sampling ratios deployed at roofs of tall buildings can be configured to establish seismic health monitoring of structures. In these configurations, drift ratios are the main parametric indicator of damage condition of a structure or component of a structure. Real-time measurement of displacements are acquired either by double integration of accelerometer time-series data, or by directly using GPS. Recorded sensor data is then related to the performance level of a building. Performance-based design method stipulates that for a building the amplitude of relative displacement of the roof of a building (with respect to its base) indicates its performance. Usually, drift ratio is computed using relative displacement between two consecutive floors. When accelerometers are used, determination of displacement is possible by strategically deploying them at a select number of pairs of consecutive floors. For these determinations, software is used to compute displacements and drift ratios in real-time by double integration of accelerometer data. However, GPS-measured relative displacements are limited to being acquired only at the roof with respect to its reference base. Thus, computed drift ratio is the average drift ratio for the whole building. Until recently, the validity of measurements using GPS was limited to long-period structures (T&gt;1&nbsp;s) because GPS systems readily available were limited to 10–20 samples per seconds (sps) capability. However, presently, up to 50 sps differential GPS systems are available on the market and have been successfully used to monitor drift ratios [1, Panagitou et al. (Seismic Response of ReinForced Concrete Wall Buildings, 2006)], (Restrepo, pers. comm. 2007) – thus enabling future usefulness of GPS to all types of structures. Several levels of threshold drift ratios can be postulated in order to make decisions for inspections and/or occupancy. Experience with data acquired from both accelerometers and GPS deployments indicates that they are reliable and provide pragmatic alternatives to alert the owners and other authorized parties to make informed decisions and select choices for pre-defined actions following significant events. Furthermore, recent adoption of such methods by financial and industrial enterprises is testimony to their viability.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Seismic risk assessment and retrofitting: With special emphasis on existing low rise structures","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-90-481-2681-1_1","usgsCitation":"Celebi, M., 2009, Seismic monitoring to assess performance of structures in near-real time: Recent progress, chap. <i>of</i> Seismic risk assessment and retrofitting: With special emphasis on existing low rise structures, p. 1-24, https://doi.org/10.1007/978-90-481-2681-1_1.","productDescription":"24 p.","startPage":"1","endPage":"24","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":405881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2009-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":850198,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97794,"text":"ofr20091170 - 2009 - NBII-SAIN Data Management Toolkit","interactions":[],"lastModifiedDate":"2024-03-05T12:13:33.538775","indexId":"ofr20091170","displayToPublicDate":"2009-08-29T00:00:00","publicationYear":"2009","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":"2009-1170","title":"NBII-SAIN Data Management Toolkit","docAbstract":"The Strategic Plan for the U.S. Geological Survey Biological Informatics Program (2005-2009) recognizes the need for effective data management:\r\n\r\nThough the Federal government invests more than $600 million per year in biological data collection, it is difficult to address these issues because of limited accessibility and lack of standards for data and information...variable quality, sources, methods, and formats (for example observations in the field, museum specimens, and satellite images) present additional challenges. This is further complicated by the fast-moving target of emerging and changing technologies such as GPS and GIS. Even though these technologies offer new solutions, they also create new informatics challenges (Ruggiero and others, 2005). \r\nThe USGS National Biological Information Infrastructure program, hereafter referred to as NBII, is charged with the mission to improve the way data and information are gathered, documented, stored, and accessed. The central objective of this project is a direct reflection of the purpose of NBII as described by John Mosesso, Program Manager of the U.S. Geological Survey-Biological Informatics Program-GAP Analysis:\r\n\r\nAt the outset, the reason for bringing about NBII was that there were significant amounts of data and information scattered all over the U.S., not accessible, in incompatible formats, and that NBII was tasked with addressing this problem...NBII's focus is to pull data together that truly matters to someone or communities. Essentially, the core questions are: 1) what are the issues, 2) where is the data, and 3) how can we make it usable and accessible (John Mosesso, U.S. Geological Survey, oral commun., 2006). \r\nRedundancy in data collection can be a major issue when multiple stakeholders are involved with a common effort. In 2001 the U.S. General Accounting Office (USGAO) estimated that about 50 percent of the Federal government's geospatial data at the time was redundant. In addition, approximately 80 percent of the cost of a spatial information system is associated with spatial data collection and management (U.S. General Accounting Office, 2003). These figures indicate that the resources (time, personnel, money) of many agencies and organizations could be used more efficiently and effectively. Dedicated and conscientious data management coordination and documentation is critical for reducing such redundancy. Substantial cost savings and increased efficiency are direct results of a pro-active data management approach. In addition, details of projects as well as data and information are frequently lost as a result of real-world occurrences such as the passing of time, job turnover, and equipment changes and failure. A standardized, well documented database allows resource managers to identify issues, analyze options, and ultimately make better decisions in the context of adaptive management (National Land and Water Resources Audit and the Australia New Zealand Land Information Council on behalf of the Australian National Government, 2003).\r\n\r\nMany environmentally focused, scientific, or natural resource management organizations collect and create both spatial and non-spatial data in some form. Data management appropriate for those data will be contingent upon the project goal(s) and objectives and thus will vary on a case-by-case basis. This project and the resulting Data Management Toolkit, hereafter referred to as the Toolkit, is therefore not intended to be comprehensive in terms of addressing all of the data management needs of all projects that contain biological, geospatial, and other types of data. The Toolkit emphasizes the idea of connecting a project's data and the related management needs to the defined project goals and objectives from the outset. In that context, the Toolkit presents and describes the fundamental components of sound data and information management that are common to projects involving biological, geospatial, and other related data","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091170","usgsCitation":"Burley, T.E., and Peine, J.D., 2009, NBII-SAIN Data Management Toolkit: U.S. Geological Survey Open-File Report 2009-1170, vi, 97 p., https://doi.org/10.3133/ofr20091170.","productDescription":"vi, 97 p.","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":118528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1170.jpg"},{"id":12962,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1170/","linkFileType":{"id":5,"text":"html"}}],"contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b4927","contributors":{"authors":[{"text":"Burley, Thomas E. 0000-0002-2235-8092 teburley@usgs.gov","orcid":"https://orcid.org/0000-0002-2235-8092","contributorId":3499,"corporation":false,"usgs":true,"family":"Burley","given":"Thomas","email":"teburley@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peine, John D.","contributorId":82020,"corporation":false,"usgs":true,"family":"Peine","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":303182,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97793,"text":"ofr20091164 - 2009 - Land-Cover Change in the East Central Texas Plains, 1973-2000","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ofr20091164","displayToPublicDate":"2009-08-29T00:00:00","publicationYear":"2009","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":"2009-1164","title":"Land-Cover Change in the East Central Texas Plains, 1973-2000","docAbstract":"Project Background: \r\nThe Geographic Analysis and Monitoring (GAM) Program of the U.S. Geological Survey (USGS) Land Cover Trends project is focused on understanding the rates, trends, causes, and consequences of contemporary U.S. land-use and land-cover change. The objectives of the study are to: (1) develop a comprehensive methodology for using sampling and change analysis techniques and Landsat Multispectral Scanner (MSS) and Thematic Mapper (TM) data for measuring regional land-cover change across the United States, (2) characterize the types, rates and temporal variability of change for a 30-year period, (3) document regional driving forces and consequences of change, and (4) prepare a national synthesis of land-cover change (Loveland and others, 1999).\r\n\r\nUsing the 1999 Environmental Protection Agency (EPA) Level III ecoregions derived from Omernik (1987) as the geographic framework, geospatial data collected between 1973 and 2000 were processed and analyzed to characterize ecosystem responses to land-use changes. The 27-year study period was divided into five temporal periods: 1973-1980, 1980-1986, 1986-1992, 1992-2000, and 1973-2000. General land-cover classes such as water, developed, grassland/shrubland, and agriculture for these periods were interpreted from Landsat MSS, TM, and Enhanced Thematic Mapper Plus imagery to categorize land-cover change and evaluate using a modified Anderson Land-Use Land-Cover Classification System for image interpretation. The interpretation of these land-cover classes complement the program objective of looking at land-use change with cover serving as a surrogate for land use.\r\n\r\nThe land-cover change rates are estimated using a stratified, random sampling of 10-kilometer (km) by 10-km blocks allocated within each ecoregion. For each sample block, satellite images are used to interpret land-cover change for the five time periods previously mentioned. Additionally, historical aerial photographs from similar timeframes and other ancillary data such as census statistics and published literature are used. The sample block data are then incorporated into statistical analyses to generate an overall change matrix for the ecoregion. For example, the scalar statistics can show the spatial extent of change per cover type with time, as well as the land-cover transformations from one land-cover type to another type occurring with time.\r\n\r\nField data of the sample blocks include direct measurements of land cover, particularly ground-survey data collected for training and validation of image classifications (Loveland and others, 2002). The field experience allows for additional observations of the character and condition of the landscape, assistance in sample block interpretation, ground truthing of Landsat imagery, and helps determine the driving forces of change identified in an ecoregion. Management and maintenance of field data, beyond initial use for training and validation of image classifications, is important as improved methods for image classification are developed, and as present-day data become part of the historical legacy for which studies of land-cover change in the future will depend (Loveland and others, 2002). The results illustrate that there is no single profile of land-cover change; instead, there is significant geographic variability that results from land uses within ecoregions continuously adapting to the resource potential created by various environmental, technological, and socioeconomic factors.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091164","usgsCitation":"Karstensen, K.A., 2009, Land-Cover Change in the East Central Texas Plains, 1973-2000: U.S. Geological Survey Open-File Report 2009-1164, iv, 10 p., https://doi.org/10.3133/ofr20091164.","productDescription":"iv, 10 p.","temporalStart":"1973-01-01","temporalEnd":"2000-12-31","costCenters":[{"id":383,"text":"Mid-Continent Geographic Science Center","active":true,"usgs":true}],"links":[{"id":125479,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1164.jpg"},{"id":12961,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1164/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100,28 ], [ -100,33.166666666666664 ], [ -94,33.166666666666664 ], [ -94,28 ], [ -100,28 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae38f","contributors":{"authors":[{"text":"Karstensen, Krista A. kkarstensen@usgs.gov","contributorId":286,"corporation":false,"usgs":true,"family":"Karstensen","given":"Krista","email":"kkarstensen@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":303180,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97792,"text":"sir20095166 - 2009 - Investigation of Contaminated Groundwater at Solid Waste Management Unit 12, Naval Weapons Station Charleston, North Charleston, South Carolina, 2008","interactions":[],"lastModifiedDate":"2017-01-17T10:23:07","indexId":"sir20095166","displayToPublicDate":"2009-08-29T00:00:00","publicationYear":"2009","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":"2009-5166","title":"Investigation of Contaminated Groundwater at Solid Waste Management Unit 12, Naval Weapons Station Charleston, North Charleston, South Carolina, 2008","docAbstract":"The U.S. Geological Survey and the Naval Facilities Engineering Command Southeast investigated natural and engineered remediation of chlorinated volatile organic compound (VOC) groundwater contamination at Solid Waste Management Unit 12 at the Naval Weapons Station Charleston, North Charleston, South Carolina, beginning in 2000. The primary contaminants of interest in the study are tetrachloroethene, 1,1,1-trichloroethane, trichloroethene, cis-1,2-dichloroethene, vinyl chloride, 1,1-dichloroethane, and 1,1-dichloroethene. Engineered remediation aspects at the site consist of a zero-valent-iron permeable reactive barrier (PRB) installed in December 2002 intercepting the contamination plume and a phytoremediation test stand of loblolly pine trees planted in the source area in May 2003. The U.S. Geological Survey planted an additional phytoremediation test stand of loblolly pine trees on the upgradient side of the southern end of the PRB in February 2008. At least once during the summer, however, the trees were inadvertently mowed during lawn cutting activity.\r\n\r\nThe PRB along the main axis of the contaminant plume appears to be actively removing contamination. In contrast to the central area of the PRB, the data from the southern end of the PRB indicate that contaminants are moving around the PRB. \r\n\r\nConcentrations in wells upgradient from the PRB showed a general decrease in VOC concentrations. VOC concentrations in some wells in the forest downgradient from the PRB showed a sharp increase in 2005, followed by a decrease in 2006. Farther downgradient in the forest, the VOC concentrations began to increase in 2007 and continued to increase into 2008. The VOC-concentration changes in groundwater beneath the forest appear to indicate movement of a groundwater-contaminant pulse through the forest. It also is possible that the data may represent lateral shifting of the plume in response to changes in groundwater-flow direction. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095166","collaboration":"Prepared in cooperation with the Naval Facilities Engineering Command Southeast","usgsCitation":"Vroblesky, D.A., and Petkewich, M.D., 2009, Investigation of Contaminated Groundwater at Solid Waste Management Unit 12, Naval Weapons Station Charleston, North Charleston, South Carolina, 2008: U.S. Geological Survey Scientific Investigations Report 2009-5166, vi, 76 p., https://doi.org/10.3133/sir20095166.","productDescription":"vi, 76 p.","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":118468,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5166.jpg"},{"id":12959,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5166/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Carolina","city":"North Charleston","otherGeospatial":"Naval Weapons Station","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.08333333333333,32.833333333333336 ], [ -80.08333333333333,33.083333333333336 ], [ -79.83333333333333,33.083333333333336 ], [ -79.83333333333333,32.833333333333336 ], [ -80.08333333333333,32.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e47c8e4b07f02db4ab9bd","contributors":{"authors":[{"text":"Vroblesky, Don A. vroblesk@usgs.gov","contributorId":413,"corporation":false,"usgs":true,"family":"Vroblesky","given":"Don","email":"vroblesk@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":303178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petkewich, Matthew D. 0000-0002-5749-6356 mdpetkew@usgs.gov","orcid":"https://orcid.org/0000-0002-5749-6356","contributorId":982,"corporation":false,"usgs":true,"family":"Petkewich","given":"Matthew","email":"mdpetkew@usgs.gov","middleInitial":"D.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303179,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97797,"text":"fs20093082 - 2009 - USGS Water Data for Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"fs20093082","displayToPublicDate":"2009-08-29T00:00:00","publicationYear":"2009","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":"2009-3082","title":"USGS Water Data for Washington","docAbstract":"The U.S. Geological Survey (USGS) has been investigating the water resources of Washington State since the latter part of the 19th century. During this time, demand for water has evolved from primarily domestic and stock needs to the current complex requirements for public-water supplies, irrigation, power generation, navigation, ecological needs, and numerous other uses. Water-resource data collected by the USGS in Washington have been, or soon will be, published by the USGS Washington Water Science Center (WAWSC) in numerous data and interpretive reports. Most of these reports are available online at the WAWSC web page http://wa.water.usgs.gov/pubs/","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093082","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2009, USGS Water Data for Washington: U.S. Geological Survey Fact Sheet 2009-3082, 4 p., https://doi.org/10.3133/fs20093082.","productDescription":"4 p.","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":125418,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3082.jpg"},{"id":12965,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3082/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a28e4b07f02db61142c","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535018,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97796,"text":"ofr20091147 - 2009 - Channel morphology and bed sediment characteristics before and after habitat enhancement activities in the Uridil Property, Platte River, Nebraska, water-years 2005-2008","interactions":[],"lastModifiedDate":"2022-06-10T21:25:47.328575","indexId":"ofr20091147","displayToPublicDate":"2009-08-29T00:00:00","publicationYear":"2009","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":"2009-1147","title":"Channel morphology and bed sediment characteristics before and after habitat enhancement activities in the Uridil Property, Platte River, Nebraska, water-years 2005-2008","docAbstract":"<p><span>Fluvial geomorphic data were collected by the United States Geological Survey from July 2005 to June 2008 (a time period within water years 2005 to 2008) to monitor the effects of habitat enhancement activities conducted in the Platte River Whooping Crane Maintenance Trust’s Uridil Property, located along the Platte River, Nebraska. The activities involved the removal of vegetation and sand from the tops of high permanent islands and the placement of the sand into the active river channel. This strategy was intended to enhance habitat for migratory water birds by lowering the elevations of the high islands, thereby eliminating a visual obstruction for roosting birds. It was also thought that the bare sand on the lowered island surfaces could serve as potential habitat for nesting water birds. Lastly, the project supplied a local source of sediment to the river to test the hypothesis that this material could contribute to the formation of lower sandbars and potential nesting sites downstream. Topographic surveys on the islands and along river transects were used to quantify the volume of removed sand and track the storage and movement of the introduced sand downstream. Sediment samples were also collected to map the spatial distribution of river bed sediment sizes before and after the management activities. While the project lowered the elevation of high islands, observations of the sand addition indicated the relatively fine-grained sand that was placed in the active river channel was rapidly transported by the flowing water. Topographic measurements made 3 months after the sand addition along transects in the area of sediment addition showed net aggradation over measurements made in 2005. In the year following the sand addition, 2007, elevated river flows from local rain events generally were accompanied by net degradation along transects within the area of sediment addition. In the spring of 2008, a large magnitude flow event of approximately 360 cubic meters per second occurred in the study reach and was accompanied by net aggradation in the managed area. These observations illustrate the high sediment transport capacity of the river channel both at lower flows, when the sand was added, and during higher flow events. This field experiment also serves as a practical example of the dynamic response of a Platte River channel to a relatively small-scale sand augmentation project directed toward enhancing in-channel habitat for avian species.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091147","collaboration":"Prepared in cooperation with the Platte River Whooping Crane Maintenance Trust","usgsCitation":"Kinzel, P.J., 2009, Channel morphology and bed sediment characteristics before and after habitat enhancement activities in the Uridil Property, Platte River, Nebraska, water-years 2005-2008: U.S. Geological Survey Open-File Report 2009-1147, Report: vi, 23 p.; Downloads Directory, https://doi.org/10.3133/ofr20091147.","productDescription":"Report: vi, 23 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2005-07-01","temporalEnd":"2008-06-30","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":118518,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1147.jpg"},{"id":12964,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1147/","linkFileType":{"id":5,"text":"html"}},{"id":402078,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87115.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nebraska","otherGeospatial":"Platte River, Uridil Property","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.129638671875,\n              40.54093880017256\n            ],\n            [\n              -98.30017089843749,\n              40.54093880017256\n            ],\n            [\n              -98.30017089843749,\n              40.97160353279909\n            ],\n            [\n              -99.129638671875,\n              40.97160353279909\n            ],\n            [\n              -99.129638671875,\n              40.54093880017256\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e4e4b07f02db5e66ca","contributors":{"authors":[{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":303186,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97789,"text":"sir20095107 - 2009 - An initial investigation of multidimensional flow and transverse mixing characteristics of the Ohio River near Cincinnati, Ohio","interactions":[],"lastModifiedDate":"2016-10-06T14:55:57","indexId":"sir20095107","displayToPublicDate":"2009-08-28T00:00:00","publicationYear":"2009","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":"2009-5107","title":"An initial investigation of multidimensional flow and transverse mixing characteristics of the Ohio River near Cincinnati, Ohio","docAbstract":"<p>Two-dimensional hydrodynamic and transport models were applied to a 34-mile reach of the Ohio River from Cincinnati, Ohio, upstream to Meldahl Dam near Neville, Ohio. The hydrodynamic model was based on the generalized finite-element hydrodynamic code RMA2 to simulate depth-averaged velocities and flow depths. The generalized water-quality transport code RMA4 was applied to simulate the transport of vertically mixed, water-soluble constituents that have a density similar to that of water. Boundary conditions for hydrodynamic simulations included water levels at the U.S. Geological Survey water-level gaging station near Cincinnati, Ohio, and flow estimates based on a gate rating at Meldahl Dam. Flows estimated on the basis of the gate rating were adjusted with limited flow-measurement data to more nearly reflect current conditions. An initial calibration of the hydrodynamic model was based on data from acoustic Doppler current profiler surveys and water-level information. These data provided flows, horizontal water velocities, water levels, and flow depths needed to estimate hydrodynamic parameters related to channel resistance to flow and eddy viscosity. Similarly, dye concentration measurements from two dye-injection sites on each side of the river were used to develop initial estimates of transport parameters describing mixing and dye-decay characteristics needed for the transport model. </p><p>A nonlinear regression-based approach was used to estimate parameters in the hydrodynamic and transport models. Parameters describing channel resistance to flow (Manning’s “n”) were estimated in areas of deep and shallow flows as 0.0234, and 0.0275, respectively. The estimated RMA2 Peclet number, which is used to dynamically compute eddy-viscosity coefficients, was 38.3, which is in the range of 15 to 40 that is typically considered appropriate. Resulting hydrodynamic simulations explained 98.8 percent of the variability in depth-averaged flows, 90.0 percent of the variability in water levels, 93.5 percent of the variability in flow depths, and 92.5 percent of the variability in velocities. </p><p>Estimates of the water-quality-transport-model parameters describing turbulent mixing characteristics converged to different values for the two dye-injection reaches. For the Big Indian Creek dye-injection study, an RMA4 Peclet number of 37.2 was estimated, which was within the recommended range of 15 to 40, and similar to the RMA2 Peclet number. The estimated dye-decay coefficient was 0.323. Simulated dye concentrations explained 90.2 percent of the variations in measured dye concentrations for the Big Indian Creek injection study. For the dye-injection reach starting downstream from Twelvemile Creek, however, an RMA4 Peclet number of 173 was estimated, which is far outside the recommended range. Simulated dye concentrations were similar to measured concentration distributions at the first four transects downstream from the dye-injection site that were considered vertically mixed. Farther downstream, however, simulated concentrations did not match the attenuation of maximum concentrations or cross-channel transport of dye that were measured. The difficulty of determining a consistent RMA4 Peclet was related to the two-dimension model assumption that velocity distributions are closely approximated by their depth-averaged values. Analysis of velocity data showed significant variations in velocity direction with depth in channel reaches with curvature. Channel irregularities (including curvatures, depth irregularities, and shoreline variations) apparently produce transverse currents that affect the distribution of constituents, but are not fully accounted for in a two-dimensional model. The two-dimensional flow model, using channel resistance to flow parameters of 0.0234 and 0.0275 for deep and shallow areas, respectively, and an RMA2 Peclet number of 38.3, and the RMA4 transport model with a Peclet number of 37.2, may have utility for emergency-planning purposes. Emergency-response efforts would be enhanced by continuous streamgaging records downstream from Meldahl Dam, real-time water-quality monitoring, and three-dimensional modeling. Decay coefficients are constituent specific. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095107","collaboration":"Prepared in cooperation with the Greater Cincinnati Water Works and the American Water Works Association Research Foundation","usgsCitation":"Holtschlag, D.J., 2009, An initial investigation of multidimensional flow and transverse mixing characteristics of the Ohio River near Cincinnati, Ohio: U.S. Geological Survey Scientific Investigations Report 2009-5107, viii, 56 p., https://doi.org/10.3133/sir20095107.","productDescription":"viii, 56 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":126868,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5107.jpg"},{"id":12956,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5107/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Kentucky, Ohio","otherGeospatial":"Ohio River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.633333,\n              39.216667\n            ],\n            [\n              -84.633333,\n              38.766667\n            ],\n            [\n              -84.116667,\n              38.766667\n            ],\n            [\n              -84.116667,\n              39.216667\n            ],\n            [\n              -84.633333,\n              39.216667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db6864c5","contributors":{"authors":[{"text":"Holtschlag, David J. 0000-0001-5185-4928 dholtschlag@usgs.gov","orcid":"https://orcid.org/0000-0001-5185-4928","contributorId":5447,"corporation":false,"usgs":true,"family":"Holtschlag","given":"David","email":"dholtschlag@usgs.gov","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303174,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97788,"text":"sir20095148 - 2009 - Groundwater-flow model of the Ozark Plateaus aquifer system, northwestern Arkansas, southeastern Kansas, southwestern Missouri, and northeastern Oklahoma","interactions":[],"lastModifiedDate":"2017-09-20T15:07:27","indexId":"sir20095148","displayToPublicDate":"2009-08-28T00:00:00","publicationYear":"2009","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":"2009-5148","title":"Groundwater-flow model of the Ozark Plateaus aquifer system, northwestern Arkansas, southeastern Kansas, southwestern Missouri, and northeastern Oklahoma","docAbstract":"<p>To assess the effect that increased water use is having on the long-term availability of groundwater within the Ozark Plateaus aquifer system, a groundwater-flow model was developed using MODFLOW 2000 for a model area covering 7,340 square miles for parts of Arkansas, Kansas, Missouri, and Oklahoma. Vertically the model is divided into five units. From top to bottom these units of variable thickness are: the Western Interior Plains confining unit, the Springfield Plateau aquifer, the Ozark confining unit, the Ozark aquifer, and the St. Francois confining unit. Large mined zones contained within the Springfield Plateau aquifer are represented in the model as extensive voids with orders-of-magnitude larger hydraulic conductivity than the adjacent nonmined zones. Water-use data were compiled for the period 1960 to 2006, with the most complete data sets available for the period 1985 to 2006. In 2006, total water use from the Ozark aquifer for Missouri was 87 percent (8,531,520 cubic feet per day) of the total pumped from the Ozark aquifer, with Kansas at 7 percent (727,452 cubic feet per day), and Oklahoma at 6 percent (551,408 cubic feet per day); water use for Arkansas within the model area was minor. Water use in the model from the Springfield Plateau aquifer in 2005 was specified from reported and estimated values as 569,047 cubic feet per day. Calibration of the model was made against average water-level altitudes in the Ozark aquifer for the period 1980 to 1989 and against waterlevel altitudes obtained in 2006 for the Springfield Plateau and Ozark aquifers. Error in simulating water-level altitudes was largest where water-level altitude gradients were largest, particularly near large cones of depression. Groundwater flow within the model area occurs generally from the highlands of the Springfield Plateau in southwestern Missouri toward the west, with localized flow occurring towards rivers and pumping centers including the five largest pumping centers near Joplin, Missouri; Carthage, Missouri; Noel, Missouri; Pittsburg, Kansas; and Miami, Oklahoma.</p><p>Hypothetical scenarios involving various increases in groundwater-pumping rates were analyzed with the calibrated groundwater-flow model to assess changes in the flow system from 2007 to the year 2057. Pumping rates were increased between 0 and 4 percent per year starting with the 2006 rates for all wells in the model. Sustained pumping at 2006 rates was feasible at the five pumping centers until 2057; however, increases in pumping resulted in dewatering the aquifer and thus pumpage increases were not sustainable in Carthage and Noel for the 1 percent per year pumpage increase and greater hypothetical scenarios, and in Joplin and Miami for the 4 percent per year pumpage increase hypothetical scenarios.</p><p>Zone-budget analyses were performed to assess the groundwater flow into and out of three zones specified within the Ozark-aquifer layer of the model. The three zones represented the model part of the Ozark aquifer in Kansas (zone 1), Oklahoma (zone 2), and Missouri and Arkansas (zone 3). Groundwater pumping causes substantial reductions in water in storage and induces flow through the Ozark confining unit for all hypothetical scenarios evaluated. Net simulated flow in 2057 from Kansas (zone 1) to Missouri (zone 3) ranges from 74,044 cubic feet per day for 2006 pumping rates (hypothetical scenario 1) to 625,319 cubic feet per day for a 4 percent increase in pumping per year (hypothetical scenario 5). Pumping from wells completed in the Ozark aquifer is the largest component of flow out of zone 3 in Missouri and Arkansas, and varies between 88 to 91 percent of the total flow out of zone 3 for all of the hypothetical scenarios. The largest component of flow into Oklahoma (zone 2) comes from the overlying Ozark confining unit, which is consistently about 45 percent of the total. Flow from the release of water in storage, from general-head boundaries, and from zones 1 and 3 is considerably smaller values that range from 3 to 22 percent of the total flow into zone 2. The largest flow out of the Oklahoma part of the model occurs from pumping from wells and ranges from 52 to 69 percent of the total.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095148","isbn":"9781411325142","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Czarnecki, J.B., Gillip, J.A., Jones, P.M., and Yeatts, D.S., 2009, Groundwater-flow model of the Ozark Plateaus aquifer system, northwestern Arkansas, southeastern Kansas, southwestern Missouri, and northeastern Oklahoma: U.S. Geological Survey Scientific Investigations Report 2009-5148, vi, 62 p., https://doi.org/10.3133/sir20095148.","productDescription":"vi, 62 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":129,"text":"Arkansas Water Science 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}\n  ]\n}","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><ul><li>Purpose and Scope</li><li>Previous Investigations</li><li>Approach</li><li>Acknowledgments</li><li>Description of Model Area</li></ul><li>Hydrogeologic Setting of the Ozark Plateaus Aquifer System<br></li><ul><li>Western Interior Plains Confining Unit</li><li>Springfield Plateau Aquifer</li><li>Ozark Confining Unit</li><li>Ozark Aquifer</li><li>St. Francois Confining Unit</li><li>St. Francois Aquifer</li><li>Basement Confining Unit</li></ul><li>Conceptual Model of Flow System<br></li><li>Description of Groundwater-Flow Model<br></li><ul><li>Groundwater-Modeling Tool</li><li>Simplifying Assumptions</li><li>Model Specifications</li><ul><li>Finite-Difference Grid</li><li>Stress Period Discretization</li><li>Model Boundary Conditions</li><ul><li>Areally Distributed Recharge</li><li>Rivers</li><li>Constant-Head Boundaries</li><ul><li>Springs</li><li>Grand Lake of the Cherokees</li></ul><li>General-Head Boundaries</li></ul><li>Water Use</li></ul></ul><li>Model Calibration<br></li><ul><li>Hydrologic Properties</li><li>Water-Level Observations</li><li>Streamflow Observations</li><li>Springflow Observations</li><li>Sensitivity Analysis</li></ul><li>Predevelopment Water-Level Altitudes<br></li><li>Hypothetical Scenarios<br></li><li>Zone-Budget Analysis<br></li><li>Model Limitations<br></li><li>Summary<br></li><li>Selected References<br></li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a93e4b07f02db6587f5","contributors":{"authors":[{"text":"Czarnecki, John B. jczarnec@usgs.gov","contributorId":2555,"corporation":false,"usgs":true,"family":"Czarnecki","given":"John","email":"jczarnec@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":303171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gillip, Jonathan A. jgillip@usgs.gov","contributorId":3222,"corporation":false,"usgs":true,"family":"Gillip","given":"Jonathan","email":"jgillip@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Perry M. 0000-0002-6569-5144 pmjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6569-5144","contributorId":2231,"corporation":false,"usgs":true,"family":"Jones","given":"Perry","email":"pmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yeatts, Daniel S.","contributorId":22015,"corporation":false,"usgs":true,"family":"Yeatts","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":303173,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70155513,"text":"70155513 - 2009 - Water quality and phytoplankton communities in Lake Pontchartrain during and after the Bonnet Carre Spillway opening, April to October 2008, in Louisiana, USA","interactions":[],"lastModifiedDate":"2022-11-15T15:32:38.712593","indexId":"70155513","displayToPublicDate":"2009-08-25T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1742,"text":"Geo-Marine Letters","active":true,"publicationSubtype":{"id":10}},"title":"Water quality and phytoplankton communities in Lake Pontchartrain during and after the Bonnet Carre Spillway opening, April to October 2008, in Louisiana, USA","docAbstract":"<p><span>The Bonnet Carré Spillway, located 28 miles northwest of New Orleans, was constructed in the early 1930s as part of an integrated flood-control system for the lower Mississippi River system. From 11 April to 8 May 2008, Mississippi River water was diverted through the spillway into the 629-square-mile Lake Pontchartrain, which is hydraulically connected to the Gulf of Mexico. On 8 April, prior to the opening of the spillway, water-quality instruments were deployed and recorded hourly measurements of water temperature, dissolved oxygen, specific conductance, pH, and nitrate. Discrete water-quality and phytoplankton (algae) samples were collected in Lake Pontchartrain from 8 April to 3 October 2008 to assess the water-quality nutrient enrichment effects of the diversion on the lake. The maximum influence of river water in the southern portion of the lake was captured with continuous (hourly) monitoring of nitrate concentrations, and field measurements such as of specific conductance during the critical period in late April to early May. By late May, the deployed instruments had recorded the arrival, peak, and decline of selected constituents associated with the freshwater influx from the Mississippi River/Bonnet Carré Spillway diversion. The continuous monitoring data showed the short-term interactions of high-nitrate, low-specific conductance river water and low-nitrate, high-specific conductance lake water. The phytoplankton community composition, as an indicator of water quality, illustrated an extended response from the river water evident even after the continuous and discrete samples indicated that the lake had returned to pre-diversion conditions. The initial phytoplankton community response to nutrient increases was related to accumulations of diatoms. During periods of low nutrient concentrations, accumulations of blue-greens occurred by July and August. As blue-green algae cell densities and biovolumes increased in the summer, so did the species richness of blue-green algae, particularly the harmful algae bloom taxa. Cell densities and biovolume of the phytoplankton lake indicator taxa&nbsp;</span><i>Skeletonema costatum</i><span>,&nbsp;</span><i>Anabaena</i><span>&nbsp;sp., and&nbsp;</span><i>Cylindrospermopsis raciborskii</i><span>&nbsp;were highest and dominated the diatom and blue-green algae communities during the period of most river water influence on the lake and immediately following the freshwater inflows. The dominance and recession of these indictor taxa reflect the dramatic changes that occurred in the phytoplankton community in response to an increase in nutrient-rich freshwater from the diversion into the lake, and not normal seasonal phytoplankton compositional differences. Water-quality data indicated a gradual reversion to pre-diversion lake conditions by June to July, but shifts in the phytoplankton composition were still evident through August 2008. Observations from this study were similar to results from previous studies of Mississippi River/Bonnet Carré Spillway diversion opening in 1997.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00367-009-0157-3","usgsCitation":"Mize, S.V., and Demcheck, D.K., 2009, Water quality and phytoplankton communities in Lake Pontchartrain during and after the Bonnet Carre Spillway opening, April to October 2008, in Louisiana, USA: Geo-Marine Letters, v. 29, no. 6, p. 431-440, https://doi.org/10.1007/s00367-009-0157-3.","productDescription":"10 p.","startPage":"431","endPage":"440","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013979","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":306559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Lake Pontchartrain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.79750804386207,\n              30.09598329068683\n            ],\n            [\n              -89.73740744123775,\n              30.158107981344017\n            ],\n            [\n              -89.75939546658773,\n              30.202458815703892\n            ],\n            [\n              -89.84734756798979,\n              30.23159277525322\n            ],\n            [\n              -89.87959667183709,\n              30.259451965256503\n            ],\n            [\n              -89.9836733251621,\n              30.26451642383178\n            ],\n            [\n              -89.99686614037222,\n              30.31008479373388\n            ],\n            [\n              -90.04230805942966,\n              30.33033060632812\n            ],\n            [\n              -90.07162542656344,\n              30.355631987190918\n            ],\n            [\n              -90.20208771030872,\n              30.389778473851607\n            ],\n            [\n              -90.41463862202899,\n              30.20752621101461\n            ],\n            [\n              -90.43809251573644,\n              30.13529120898457\n            ],\n            [\n              -90.40877514860264,\n              30.07442069628327\n            ],\n            [\n              -90.34281107255129,\n              30.04270246080661\n            ],\n            [\n              -90.3281523889844,\n              30.03128140894536\n            ],\n            [\n              -90.32375478391413,\n              30.051584590975324\n            ],\n            [\n              -90.28710807499725,\n              30.051584590975324\n            ],\n            [\n              -90.24166615593981,\n              30.04143352005238\n            ],\n            [\n              -90.1595775279648,\n              30.01985904087043\n            ],\n            [\n              -90.05256913792627,\n              30.03128140894536\n            ],\n            [\n              -89.96021943145465,\n              30.063003302155423\n            ],\n            [\n              -89.8825284085499,\n              30.140362058862593\n            ],\n            [\n              -89.86347211991344,\n              30.147967845118785\n            ],\n            [\n              -89.83122301606613,\n              30.08837350007731\n            ],\n            [\n              -89.7931104387918,\n              30.09344675889558\n            ],\n            [\n              -89.80043978057559,\n              30.09598329068683\n            ],\n            [\n              -89.79750804386207,\n              30.09598329068683\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"29","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2009-08-25","publicationStatus":"PW","scienceBaseUri":"55c9cb39e4b08400b1fdb732","contributors":{"authors":[{"text":"Mize, Scott V. 0000-0001-6751-5568 svmize@usgs.gov","orcid":"https://orcid.org/0000-0001-6751-5568","contributorId":2997,"corporation":false,"usgs":true,"family":"Mize","given":"Scott","email":"svmize@usgs.gov","middleInitial":"V.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demcheck, Dennis K. 0000-0003-2981-078X ddemchec@usgs.gov","orcid":"https://orcid.org/0000-0003-2981-078X","contributorId":3273,"corporation":false,"usgs":true,"family":"Demcheck","given":"Dennis","email":"ddemchec@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":565631,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97779,"text":"ofr20091124 - 2009 - The Regional Geochemistry of Soils and Willow in a Metamorphic Bedrock Terrain, Seward Peninsula, Alaska, 2005, and Its Possible Relation to Moose","interactions":[],"lastModifiedDate":"2012-02-10T00:11:49","indexId":"ofr20091124","displayToPublicDate":"2009-08-21T00:00:00","publicationYear":"2009","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":"2009-1124","title":"The Regional Geochemistry of Soils and Willow in a Metamorphic Bedrock Terrain, Seward Peninsula, Alaska, 2005, and Its Possible Relation to Moose","docAbstract":"In 2005 willow leaves (all variants of Salix pulchra) and A-, B-, and C-horizon soils were sampled at 10 sites along a transect near the Quarry prospect and 11 sites along a transect near the Big Hurrah mine for the purpose of defining the spatial variability of elements and the regional geochemistry of willow and soil over Paleozoic metamorphic rocks potentially high in cadmium (Cd). Willow, a favorite browse of moose (Alces alces), has been shown by various investigators to bioaccumulate Cd. Moose in this region show clinical signs of tooth wear and breakage and are declining in population for unknown reasons. A trace element imbalance in their diet has been proposed as a possible cause for these observations. Cadmium, in high enough concentrations, is one dietary trace element that potentially could produce such symptoms.\r\n\r\nWe report both the summary statistics for elements in willow and soils and the results of an unbalanced, one-way, hierarchical analysis of variance (ANOVA) (general linear model, GLM), which was constructed to measure the geochemical variability in willow (and soil) at various distance scales across the Paleozoic geologic unit high in bioavailable Cd. All of the geochemical data are presented in the Appendices. The two locations are separated by approximately 80 kilometers (km); sites within a location are approximately 0.5 kilometers apart. Duplicate soil samples collected within a site were separated by 0.05 km or slightly less. Results of the GLM are element specific and range from having very little regional variability to having most of their variance at the top (greater than 80 km) level. For willow, a significant proportion of the total variance occurred at the 'between locations' level for ash yield, barium (Ba), Cd, calcium (Ca), cobalt (Co), nickel (Ni), and zinc (Zn). For soils, concentrations of elements in all three soil horizons were similar in that most of the variability in the geochemical data occurred at the 'between locations' and the 'among sites at a location' GLM levels.\r\n\r\nMost of the variation in concentrations of Cd in soils occurred among sites (separated by 0.5 km) at both locations across all soil horizons and not between the two locations. Cd distribution across the landscape may be due to variation in soil mineralogy, especially the amount of graphite in soil, which has been associated with Cd. Although samples were collected on the same geologic unit, the geochemistry of soils was demonstrated to be uniform with depth but highly variable between locations separated by 80 km. This exploratory study establishes the presence of elevated levels of Cd in willow growing over Paleozoic bedrock in the Seward Peninsula. Further work is needed to definitively link these high Cd levels in willow browse to the health of moose.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091124","usgsCitation":"Gough, L.P., Lamothe, P.J., Sanzolone, R.F., Drew, L., and Maier, J., 2009, The Regional Geochemistry of Soils and Willow in a Metamorphic Bedrock Terrain, Seward Peninsula, Alaska, 2005, and Its Possible Relation to Moose: U.S. Geological Survey Open-File Report 2009-1124, Report: v, 43 p.; Appendixes (xls), https://doi.org/10.3133/ofr20091124.","productDescription":"Report: v, 43 p.; Appendixes (xls)","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":118506,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1124.jpg"},{"id":12946,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1124/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -168,64 ], [ -168,67 ], [ -160,67 ], [ -160,64 ], [ -168,64 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67acd9","contributors":{"authors":[{"text":"Gough, L. P.","contributorId":64198,"corporation":false,"usgs":true,"family":"Gough","given":"L.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":303123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamothe, P. J.","contributorId":45672,"corporation":false,"usgs":true,"family":"Lamothe","given":"P.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":303122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanzolone, R. F.","contributorId":64199,"corporation":false,"usgs":true,"family":"Sanzolone","given":"R.","middleInitial":"F.","affiliations":[],"preferred":false,"id":303124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drew, L.J.","contributorId":69157,"corporation":false,"usgs":true,"family":"Drew","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":303125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maier, J.A.K.","contributorId":75651,"corporation":false,"usgs":true,"family":"Maier","given":"J.A.K.","email":"","affiliations":[],"preferred":false,"id":303126,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97782,"text":"ds307 - 2009 - Data on mercury in water, bed sediment, and fish from streams across the United States, 1998-2005","interactions":[],"lastModifiedDate":"2019-08-15T12:48:55","indexId":"ds307","displayToPublicDate":"2009-08-21T00:00:00","publicationYear":"2009","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":"307","title":"Data on mercury in water, bed sediment, and fish from streams across the United States, 1998-2005","docAbstract":"The U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) and Toxic Substances Hydrology Programs conducted the National Mercury Pilot Study in 1998 to examine relations of mercury (Hg) in water, bed sediment and fish in streams across the United States, including Alaska and Hawaii. Water and bed-sediment samples were analyzed for total Hg (THg), methylmercury (MeHg), and other constituents; fish were analyzed for THg. Similar sampling was conducted at additional streams across the country in 2002 and 2004-05. This report summarizes sample collection and processing protocols, analytical methods, environmental data, and quality-assurance data for stream water, bed sediment, and fish for these national studies. To extend the geographic coverage of the data, this report also includes four regional USGS Hg studies conducted during 1998-2001 and 2004. The environmental data for these national and regional Hg studies are provided in an electronic format.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds307","usgsCitation":"Bauch, N.J., Chasar, L.C., Scudder, B.C., Moran, P.W., Hitt, K.J., Brigham, M.E., Lutz, M., and Wentz, D.A., 2009, Data on mercury in water, bed sediment, and fish from streams across the United States, 1998-2005: U.S. Geological Survey Data Series 307, viii, 33 p., https://doi.org/10.3133/ds307.","productDescription":"viii, 33 p.","onlineOnly":"Y","temporalStart":"1998-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":125380,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_307.jpg"},{"id":12949,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/307/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c855","contributors":{"authors":[{"text":"Bauch, Nancy J. 0000-0002-0302-2892 njbauch@usgs.gov","orcid":"https://orcid.org/0000-0002-0302-2892","contributorId":1297,"corporation":false,"usgs":true,"family":"Bauch","given":"Nancy","email":"njbauch@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":303137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chasar, Lia C.","contributorId":91196,"corporation":false,"usgs":true,"family":"Chasar","given":"Lia","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":303142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scudder, Barbara C.","contributorId":100319,"corporation":false,"usgs":true,"family":"Scudder","given":"Barbara","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":303143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hitt, Kerie J.","contributorId":54565,"corporation":false,"usgs":true,"family":"Hitt","given":"Kerie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":303141,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brigham, Mark E. 0000-0001-7412-6800 mbrigham@usgs.gov","orcid":"https://orcid.org/0000-0001-7412-6800","contributorId":1840,"corporation":false,"usgs":true,"family":"Brigham","given":"Mark","email":"mbrigham@usgs.gov","middleInitial":"E.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303139,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lutz, Michelle A.","contributorId":32862,"corporation":false,"usgs":true,"family":"Lutz","given":"Michelle A.","affiliations":[],"preferred":false,"id":303140,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wentz, Dennis A. dawentz@usgs.gov","contributorId":1838,"corporation":false,"usgs":true,"family":"Wentz","given":"Dennis","email":"dawentz@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":303138,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":97775,"text":"ofr20091156 - 2009 - High-Resolution Aeromagnetic Survey To Image Shallow Faults, Poncha Springs and Vicinity, Chaffee County, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:45","indexId":"ofr20091156","displayToPublicDate":"2009-08-19T00:00:00","publicationYear":"2009","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":"2009-1156","title":"High-Resolution Aeromagnetic Survey To Image Shallow Faults, Poncha Springs and Vicinity, Chaffee County, Colorado","docAbstract":"High-resolution aeromagnetic data were acquired over the town of Poncha Springs and areas to the northwest to image faults, especially where they are concealed. Because this area has known hot springs, faults or fault intersections at depth can provide pathways for upward migration of geothermal fluids or concentrate fracturing that enhances permeability. Thus, mapping concealed faults provides a focus for follow-up geothermal studies. Fault interpretation was accomplished by synthesizing interpretative maps derived from several different analytical methods, along with preliminary depth estimates. Faults were interpreted along linear aeromagnetic anomalies and breaks in anomaly patterns. Many linear features correspond to topographic features, such as drainages. A few of these are inferred to be fault-related. The interpreted faults show an overall pattern of criss-crossing fault zones, some of which appear to step over where they cross. Faults mapped by geologists suggest similar crossing patterns in exposed rocks along the mountain front. In low-lying areas, interpreted faults show zones of west-northwest-, north-, and northwest-striking faults that cross ~3 km (~2 mi) west-northwest of the town of Poncha Springs. More easterly striking faults extend east from this juncture. The associated aeromagnetic anomalies are likely caused by magnetic contrasts associated with faulted sediments that are concealed less than 200 m (656 ft) below the valley floor. The faults may involve basement rocks at greater depth as well. A relatively shallow (<300 m or <984 ft), faulted basement block is indicated under basin-fill sediments just north of the hot springs and south of the town of Poncha Springs.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091156","collaboration":"Prepared in cooperation with the Colorado Governor's Energy Office","usgsCitation":"Grauch, V.J., and Drenth, B.J., 2009, High-Resolution Aeromagnetic Survey To Image Shallow Faults, Poncha Springs and Vicinity, Chaffee County, Colorado: U.S. Geological Survey Open-File Report 2009-1156, Report: v, 31 p.; Downloads Directory, https://doi.org/10.3133/ofr20091156.","productDescription":"Report: v, 31 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":212,"text":"Crustal Imaging and Characterization","active":false,"usgs":true}],"links":[{"id":125475,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1156.jpg"},{"id":12938,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1156/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.36749999999999,38.3675 ], [ -106.36749999999999,38.75 ], [ -105.86749999999999,38.75 ], [ -105.86749999999999,38.3675 ], [ -106.36749999999999,38.3675 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a59e4b07f02db62fd42","contributors":{"authors":[{"text":"Grauch, V. J. S. 0000-0002-0761-3489","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":34125,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"","middleInitial":"J. S.","affiliations":[],"preferred":false,"id":303111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":303110,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97774,"text":"sir20095155 - 2009 - Hydrologic Setting and Conceptual Hydrologic Model of the Walker River Basin, West-Central Nevada","interactions":[],"lastModifiedDate":"2012-03-08T17:16:31","indexId":"sir20095155","displayToPublicDate":"2009-08-19T00:00:00","publicationYear":"2009","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":"2009-5155","title":"Hydrologic Setting and Conceptual Hydrologic Model of the Walker River Basin, West-Central Nevada","docAbstract":"The Walker River is the main source of inflow to Walker Lake, a closed-basin lake in west-central Nevada. Between 1882 and 2008, agricultural diversions resulted in a lake-level decline of more than 150 feet and storage loss of 7,400,000 acre-ft. Evaporative concentration increased dissolved solids from 2,500 to 17,000 milligrams per liter. The increase in salinity threatens the survival of the Lahontan cutthroat trout, a native species listed as threatened under the Endangered Species Act. This report describes the hydrologic setting of the Walker River basin and a conceptual hydrologic model of the relations among streams, groundwater, and Walker Lake with emphasis on the lower Walker River basin from Wabuska to Hawthorne, Nevada. \r\n\r\nThe Walker River basin is about 3,950 square miles and straddles the California-Nevada border. Most streamflow originates as snowmelt in the Sierra Nevada. Spring runoff from the Sierra Nevada typically reaches its peak during late May to early June with as much as 2,800 cubic feet per second in the Walker River near Wabuska. Typically, 3 to 4 consecutive years of below average streamflow are followed by 1 or 2 years of average or above average streamflow.\r\n\r\nMountain ranges are comprised of consolidated rocks with low hydraulic conductivities, but consolidated rocks transmit water where fractured. Unconsolidated sediments include fluvial deposits along the active channel of the Walker River, valley floors, alluvial slopes, and a playa. Sand and gravel deposited by the Walker River likely are discontinuous strata throughout the valley floor. Thick clay strata likely were deposited in Pleistocene Lake Lahontan and are horizontally continuous, except where strata have been eroded by the Walker River. At Walker Lake, sediments mostly are clay interbedded with alluvial slope, fluvial, and deltaic deposits along the lake margins. Coarse sediments form a multilayered, confined-aquifer system that could extend several miles from the shoreline.\r\n\r\nDepth to bedrock in the lower Walker River basin ranges from about 900 to 2,000 feet. The average hydraulic conductivity of the alluvial aquifer in the lower Walker River basin is 10-30 feet per day, except where comprised of fluvial sediments. Fluvial sediments along the Walker River have an average hydraulic conductivity of 70 feet per day. Subsurface flow was estimated to be 2,700 acre-feet per year through Double Spring. Subsurface discharge to Walker Lake was estimated to be 4,400 acre-feet per year from the south and 10,400 acre-feet per year from the north.\r\n\r\nGroundwater levels and groundwater storage have declined steadily in most of Smith and Mason Valleys since 1960. Groundwater levels around Schurz, Nevada, have changed little during the past 50 years. In the Whisky Flat area south of Hawthorne, Nevada, agricultural and municipal pumpage has lowered groundwater levels since 1956. The water-level decline in Walker Lake since 1882 has caused the surrounding alluvial aquifer to drain and groundwater levels to decline.\r\n\r\nThe Wabuska streamflow-gaging station in northern Mason Valley demarcates the upper and lower Walker River basin. The hydrology of the lower Walker River basin is considerably different than the upper basin. The upper basin consists of valleys separated by consolidated-rock mountains. The alluvial aquifer in each valley thins or pinches out at the downstream end, forcing most groundwater to discharge along the river near where the river is gaged. The lower Walker River basin is one surface-water/groundwater system of losing and gaining reaches from Wabuska to Walker Lake, which makes determining stream losses and the direction and amount of subsurface flow difficult.\r\n\r\nIsotopic data indicate surface water and groundwater in the lower Walker River basin are from two sources of precipitation that have evaporated. The Walker River, groundwater along the Wassuk Range, and Walker Lake plot along one evaporation line. Groundwater along th","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095155","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Lopes, T.J., and Allander, K.K., 2009, Hydrologic Setting and Conceptual Hydrologic Model of the Walker River Basin, West-Central Nevada: U.S. Geological Survey Scientific Investigations Report 2009-5155, Report: x, 85 p.; Plate: 24 x 28 inches, https://doi.org/10.3133/sir20095155.","productDescription":"Report: x, 85 p.; Plate: 24 x 28 inches","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":438847,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9US1B3S","text":"USGS data release","linkHelpText":"Data for the 2009 report Hydrologic Setting and Conceptual Hydrologic Model of the Walker River Basin, West-Central Nevada"},{"id":125616,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5155.jpg"},{"id":12937,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5155/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.83333333333333,37.666666666666664 ], [ -119.83333333333333,39.25 ], [ -118.16666666666667,39.25 ], [ -118.16666666666667,37.666666666666664 ], [ -119.83333333333333,37.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad6e4b07f02db6842a1","contributors":{"authors":[{"text":"Lopes, Thomas J. tjlopes@usgs.gov","contributorId":2302,"corporation":false,"usgs":true,"family":"Lopes","given":"Thomas","email":"tjlopes@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":303109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allander, Kip K. 0000-0002-3317-298X kalland@usgs.gov","orcid":"https://orcid.org/0000-0002-3317-298X","contributorId":2290,"corporation":false,"usgs":true,"family":"Allander","given":"Kip","email":"kalland@usgs.gov","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303108,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97765,"text":"ds69U - 2009 - Total Petroleum Systems and Geologic Assessment of Oil and Gas Resources in the Powder River Basin Province, Wyoming and Montana","interactions":[],"lastModifiedDate":"2017-08-29T18:45:56","indexId":"ds69U","displayToPublicDate":"2009-08-18T00:00:00","publicationYear":"2009","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":"U","title":"Total Petroleum Systems and Geologic Assessment of Oil and Gas Resources in the Powder River Basin Province, Wyoming and Montana","docAbstract":"The U.S. Geological Survey completed an assessment of the undiscovered oil and gas potential of the Powder River Basin in 2006. The assessment of undiscovered oil and gas used the total petroleum system concept, which includes mapping the distribution of potential source rocks and known petroleum accumulations and determining the timing of petroleum generation and migration. Geologically based, it focuses on source and reservoir rock stratigraphy, timing of tectonic events and the configuration of resulting structures, formation of traps and seals, and burial history modeling. The total petroleum system is subdivided into assessment units based on similar geologic characteristics and accumulation and petroleum type. In chapter 1 of this report, five total petroleum systems, eight conventional assessment units, and three continuous assessment units were defined and the undiscovered oil and gas resources within each assessment unit quantitatively estimated. \r\n\r\nChapter 2 describes data used in support of the process being applied by the U.S. Geological Survey (USGS) National Oil and Gas Assessment (NOGA) project. Digital tabular data used in this report and archival data that permit the user to perform further analyses are available elsewhere on this CD-ROM. Computers and software may import the data without transcription from the Portable Document Format files (.pdf files) of the text by the reader. Because of the number and variety of platforms and software available, graphical images are provided as .pdf files and tabular data are provided in a raw form as tab-delimited text files (.tab files).","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds69U","usgsCitation":"2009, Total Petroleum Systems and Geologic Assessment of Oil and Gas Resources in the Powder River Basin Province, Wyoming and Montana: U.S. Geological Survey Data Series 69, Available online and on CD-ROM, https://doi.org/10.3133/ds69U.","productDescription":"Available online and on CD-ROM","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":118580,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_69_u.jpg"},{"id":12932,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-u/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,42 ], [ -109,47 ], [ -103,47 ], [ -103,42 ], [ -109,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fce4b07f02db5f547b","contributors":{"compilers":[{"text":"Anna, L. O.","contributorId":65472,"corporation":false,"usgs":true,"family":"Anna","given":"L.","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":708984,"contributorType":{"id":3,"text":"Compilers"},"rank":1}]}}
,{"id":97763,"text":"ofr20091159 - 2009 - Land-Cover Change in the Central Irregular Plains, 1973-2000","interactions":[],"lastModifiedDate":"2012-02-10T00:11:48","indexId":"ofr20091159","displayToPublicDate":"2009-08-18T00:00:00","publicationYear":"2009","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":"2009-1159","title":"Land-Cover Change in the Central Irregular Plains, 1973-2000","docAbstract":"Spearheaded by the Geographic Analysis and Monitoring Program of the U.S. Geological Survey (USGS) in collaboration with the U.S. Environmental Protection Agency (EPA) and the National Aeronautics and Space Administration (NASA), the Land Cover Trends is a research project focused on understanding the rates, trends, causes, and consequences of contemporary United States land-use and land-cover change. Using the EPA Level III ecoregions as the geographic framework, scientists process geospatial data collected between 1973 and 2000 to characterize ecosystem responses to land-use changes. The 27-year study period was divided into five temporal periods: 1973-1980, 1980-1986, 1986-1992, 1992-2000 and 1973-2000. General land-cover classes for these periods were interpreted from Landsat Multispectral Scanner, Thematic Mapper, and Enhanced Thematic Mapper Plus imagery to categorize land-cover change and evaluate using a modified Anderson Land Use Land Cover Classification System for image interpretation.\r\n\r\nThe rates of land-cover change are estimated using a stratified, random sampling of 10-kilometer (km) by 10-km blocks allocated within each ecoregion. For each sample block, satellite images are used to interpret land-cover change. Additionally, historical aerial photographs from similar timeframes and other ancillary data such as census statistics and published literature are used. The sample block data are then incorporated into statistical analyses to generate an overall change matrix for the ecoregion. These change statistics are applicable for different levels of scale, including total change for the individual sample blocks and change estimates for the entire ecoregion. The results illustrate that there is no single profile of land-cover change but instead point to geographic variability that results from land uses within ecoregions continuously adapting to various factors including environmental, technological, and socioeconomic.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091159","usgsCitation":"Karstensen, K.A., 2009, Land-Cover Change in the Central Irregular Plains, 1973-2000: U.S. Geological Survey Open-File Report 2009-1159, iv, 8 p., https://doi.org/10.3133/ofr20091159.","productDescription":"iv, 8 p.","temporalStart":"1973-01-01","temporalEnd":"2000-12-31","costCenters":[{"id":383,"text":"Mid-Continent Geographic Science Center","active":true,"usgs":true}],"links":[{"id":125477,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1159.jpg"},{"id":12930,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1159/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,35 ], [ -98,42 ], [ -90.5,42 ], [ -90.5,35 ], [ -98,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adf83","contributors":{"authors":[{"text":"Karstensen, Krista A. kkarstensen@usgs.gov","contributorId":286,"corporation":false,"usgs":true,"family":"Karstensen","given":"Krista","email":"kkarstensen@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":303076,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97761,"text":"sir20095151 - 2009 - Impact of wildfire on levels of mercury in forested watershed systems: Voyageurs National Park, Minnesota","interactions":[],"lastModifiedDate":"2024-06-17T20:58:12.687327","indexId":"sir20095151","displayToPublicDate":"2009-08-18T00:00:00","publicationYear":"2009","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":"2009-5151","title":"Impact of wildfire on levels of mercury in forested watershed systems: Voyageurs National Park, Minnesota","docAbstract":"<p>Atmospheric deposition of mercury to remote lakes in mid-continental and eastern North America has increased approximately threefold since the mid-1800s (Swain and others, 1992; Fitzgerald and others, 1998; Engstrom and others, 2007). As a result, concerns for human and wildlife health related to mercury contamination have become widespread. Despite an apparent recent decline in atmospheric deposition of mercury in many areas of the Upper Midwest (Engstrom and Swain, 1997; Engstrom and others, 2007), lakes in which fish contain levels of mercury deemed unacceptable for human consumption and possibly unacceptable for fish-consuming wildlife are being detected with increasing frequency. In northern Minnesota, Voyageurs National Park (VNP) (fig. 1) protects a series of southern boreal lakes and wetlands situated on bedrock of the Precambrian Canadian Shield. Mercury contamination has become a significant resource issue within VNP as high concentrations of mercury in loons, bald eagle eaglets, grebes, northern pike, and other species of wildlife and fish have been found. The two most mercury-contaminated lakes in Minnesota, measured as methylmercury in northern pike (<i>Esox lucius</i>), are in VNP.</p><p>Recent multidisciplinary U.S. Geological Survey (USGS) research demonstrated that the bulk of the mercury in lake waters, soils, and fish in VNP results from atmospheric deposition (Wiener and others, 2006). The study by Wiener and others (2006) showed that the spatial distribution of mercury in watershed soils, lake waters, and age-1 yellow perch (<i>Perca flavescens</i>) within the Park was highly variable. The majority of factors correlated for this earlier study suggested that mercury concentrations in lake waters and age-1 yellow perch reflected the influence of ecosystem processes that affected within-lake microbial production and abundance of methylmercury (Wiener and others, 2006), while the distribution of mercury in watershed soils seemed to be partially dependent on forest disturbance, especially the historic forest fire pattern (Woodruff and Cannon, 2002).</p><p>Forest fire has an essential role in the forest ecosystems of VNP (Heinselman, 1996). Because resource and land managers need to integrate both natural wildfire and prescribed fire in management plans, the potential influence of fire on an element as sensitive to the environment as mercury becomes a critical part of their decisionmaking. A number of recent studies have shown that while fire does have a significant impact on mercury at the landscape level, the observed effects of fire on aquatic environments are highly variable and unpredictable (Caldwell and others, 2000; Garcia and Carrigan, 2000; Kelly and others, 2006; Nelson and others, 2007). Caldwell and others (2000) described an increase in methylmercury in reservoir sediments resulting from mobilization and transport of charred vegetative matter following a fire in New Mexico. Krabbenhoft and Fink (2000) attributed increases in total mercury concentrations in young-of-the-year fish in the Florida Everglades to release of mercury resulting from peat oxidation following fires. A fivefold increase in whole-body mercury accumulation by rainbow trout (<i>Oncorhynchus mykiss</i>) following a fire in Alberta, Canada, apparently resulted from increased nutrient concentrations that enhanced productivity and restructured the food web of a lake within the fire’s burn footprint (Kelly and others, 2006).</p><p>For this study, we determined the short-term effects of forest fire on mercury concentrations in terrestrial and aquatic environments in VNP by comparing and contrasting mercury concentrations in forest soils, lake waters, and age-1 yellow perch for a burned watershed and an adjacent lake, with similar samples from watersheds and lakes with no fire activity (control watersheds and lakes). The concentration of total mercury in whole, 1-year-old yellow perch serves as a good biological indicator for monitoring trends in methylmercury concentrations in food webs of lakes in North America (Wiener and others, 2007). With a limited gape, age-1 yellow perch that hatched the previous year and resided in a lake for 1 year feed largely on zooplankton and small benthic invertebrates. Thus, age-1 yellow perch provide a baseline for methylmercury concentrations for individual lakes that can be compared across spatial areas.</p><p>The nine appendixes that accompany this report contain the complete datasets for soils, lake waters, and age-1 yellow perch collected for this study. This report uses data from these three media to provide a framework for evaluating short-term effects of fire on mercury in forested soils and possible effects of the mobilization of mercury from soils on lake water quality and aquatic health.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095151","collaboration":"Preprared in cooperation with the National Park Service, Voyageurs National Park, Minnesota","usgsCitation":"Woodruff, L.G., Sandheinrich, M.B., Brigham, M.E., and Cannon, W.F., 2009, Impact of wildfire on levels of mercury in forested watershed systems: Voyageurs National Park, Minnesota: U.S. Geological Survey Scientific Investigations Report 2009-5151, Report: viii, 51 p.; 9 Appendices, https://doi.org/10.3133/sir20095151.","productDescription":"Report: viii, 51 p.; 9 Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":244,"text":"Eastern Mineral Resources Science Center","active":false,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":430337,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87076.htm","linkFileType":{"id":5,"text":"html"}},{"id":12928,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5151/","linkFileType":{"id":5,"text":"html"}},{"id":125615,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/sir_2009_5151.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.95,\n              48.4667\n            ],\n            [\n              -92.95,\n              48.5447\n            ],\n            [\n              -92.8061,\n              48.5447\n            ],\n            [\n              -92.8061,\n              48.4667\n            ],\n            [\n              -92.95,\n              48.4667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c4b8","contributors":{"authors":[{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":303072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandheinrich, Mark B.","contributorId":86736,"corporation":false,"usgs":true,"family":"Sandheinrich","given":"Mark","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":303073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brigham, Mark E. 0000-0001-7412-6800 mbrigham@usgs.gov","orcid":"https://orcid.org/0000-0001-7412-6800","contributorId":1840,"corporation":false,"usgs":true,"family":"Brigham","given":"Mark","email":"mbrigham@usgs.gov","middleInitial":"E.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannon, William F. 0000-0002-2699-8118 wcannon@usgs.gov","orcid":"https://orcid.org/0000-0002-2699-8118","contributorId":1883,"corporation":false,"usgs":true,"family":"Cannon","given":"William","email":"wcannon@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":303071,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97760,"text":"ofr20091157 - 2009 - Geophysical Studies in the Vicinity of the Warner Mountains and Surprise Valley, Northeast California, Northwest Nevada, and Southern Oregon","interactions":[],"lastModifiedDate":"2012-02-10T00:11:54","indexId":"ofr20091157","displayToPublicDate":"2009-08-18T00:00:00","publicationYear":"2009","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":"2009-1157","title":"Geophysical Studies in the Vicinity of the Warner Mountains and Surprise Valley, Northeast California, Northwest Nevada, and Southern Oregon","docAbstract":"From May 2006 to August 2007, the U.S. Geological Survey (USGS) collected 793 gravity stations, about 102 line-kilometers of truck-towed and ground magnetometer data, and about 325 physical-property measurements in northeastern California, northwestern Nevada, and southern Oregon. Gravity, magnetic, and physical-property data were collected to study regional crustal structures and geology as an aid to understanding the geologic framework of the Surprise Valley geothermal area and, in general, geothermal systems throughout the Great Basin. \r\n\r\nThe Warner Mountains and Surprise Valley mark the transition from the extended Basin and Range province to the unextended Modoc Plateau. This transition zone, in the northwestern corner of the Basin and Range, is relatively diffuse compared to other, more distinct boundaries, such as the Wasatch front in Utah and the eastern Sierran range front. In addition, this transition zone is the site of a geothermal system with potential for development, and previous studies have revealed a complex structural setting consisting of several obliquely oriented fault sets. As a result, this region has been the subject of several recent geological and geophysical investigations. The gravity and magnetic data presented here support and supplement those studies, and although the study area is composed predominantly of Tertiary volcanic rocks of the Modoc Plateau rocks, the physical properties of these and others rocks create a distinguishable pattern of gravity and magnetic anomalies that can be used to infer subsurface geologic structure.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091157","usgsCitation":"Ponce, D.A., Glen, J., Egger, A.E., Bouligand, C., Watt, J.T., and Morin, R.L., 2009, Geophysical Studies in the Vicinity of the Warner Mountains and Surprise Valley, Northeast California, Northwest Nevada, and Southern Oregon: U.S. Geological Survey Open-File Report 2009-1157, Report: vi, 19 p.; Data Tables, https://doi.org/10.3133/ofr20091157.","productDescription":"Report: vi, 19 p.; Data Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-05-01","temporalEnd":"2007-08-31","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":125476,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1157.jpg"},{"id":12927,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1157/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121,41 ], [ -121,42.5 ], [ -119,42.5 ], [ -119,41 ], [ -121,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c409","contributors":{"authors":[{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":303064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M. G.","contributorId":45756,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan M. G.","affiliations":[],"preferred":false,"id":303066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Egger, Anne E.","contributorId":48669,"corporation":false,"usgs":true,"family":"Egger","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":303067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouligand, Claire","contributorId":71662,"corporation":false,"usgs":true,"family":"Bouligand","given":"Claire","affiliations":[],"preferred":false,"id":303068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watt, Janet T. 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":8564,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":303065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morin, Robert L.","contributorId":82671,"corporation":false,"usgs":true,"family":"Morin","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":303069,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97759,"text":"ofr20091095 - 2009 - Finding Trapped Miners by Using a Prototype Seismic Recording System Made from Music-Recording Hardware","interactions":[],"lastModifiedDate":"2012-02-02T00:15:07","indexId":"ofr20091095","displayToPublicDate":"2009-08-18T00:00:00","publicationYear":"2009","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":"2009-1095","title":"Finding Trapped Miners by Using a Prototype Seismic Recording System Made from Music-Recording Hardware","docAbstract":"The goal of this project was to use off-the-shelf music recording equipment to build and test a prototype seismic system to listen for people trapped in underground chambers (mines, caves, collapsed buildings). Previous workers found that an array of geophones is effective in locating trapped miners; displaying the data graphically, as well as playing it back into an audio device (headphones) at high speeds, was found to be effective for locating underground tapping. The desired system should record the data digitally to allow for further analysis, be capable of displaying the data graphically, allow for rudimentary analysis (bandpass filter, deconvolution), and allow the user to listen to the data at varying speeds. \r\n\r\nAlthough existing seismic reflection systems are adequate to record, display and analyze the data, they are relatively expensive and difficult to use and do not have an audio playback option. This makes it difficult for individual mines to have a system waiting on the shelf for an emergency. In contrast, music recording systems, like the one I used to construct the prototype system, can be purchased for about 20 percent of the cost of a seismic reflection system and are designed to be much easier to use. The prototype system makes use of an ~$3,000, 16-channel music recording system made by Presonus, Inc., of Baton Rouge, Louisiana. Other manufacturers make competitive systems that would serve equally well. Connecting the geophones to the recording system required the only custom part of this system - a connector that takes the output from the geophone cable and breaks it into 16 microphone inputs to be connected to the music recording system. The connector took about 1 day of technician time to build, using about $300 in off-the-shelf parts. \r\n\r\nComparisons of the music recording system and a standard seismic reflection system (A 24-channel 'Geode' system manufactured by Geometrics, Inc., of San Jose, California) were carried out at two locations. Initial recordings of small hammer taps were carried out in a small field in Seattle, Washington; more elaborate tests were carried out at the San Juan Coal Mine in San Juan, New Mexico, in which miners underground were signaling. The comparisons demonstrate that the recordings made by the two systems are nearly identical, indicating that either system adequately records the data from the geophones. In either system the data can quickly be converted to a format (Society of Exploration Geophysicists 'Y' format; 'SEGY') to allow for filtering and other signal processing. With a modest software development effort, it is clear that either system could produce equivalent data products (SEGY data and audio data) within a few minutes of finishing the recording. \r\n\r\nThe two systems both have significant advantages and drawbacks. With the seismograph, the tapping was distinctly visible when it occurred during a time window that was displayed. I have not identified or developed software for converting the resulting data to sound recordings that can be heard, but this limitation could be overcome with a trivial software development effort. The main drawbacks to the seismograph are that it does not allow for real-time listening, it is expensive to purchase, and it contains many features that are not utilized for this application. The music recording system is simple to use (it is designed for a general user, rather than a trained technician), allows for listening during recording, and has the advantage of using inexpensive, off-the-shelf components. It also allows for quick (within minutes) playback of the audio data at varying speeds. The data display by the software in the prototype system, however, is clearly inferior to the display on the seismograph. The music system also has the drawback of substantially oversampling the data by a factor of 24 (48,000 samples per second versus 2,000 samples per second) because the user interface only allows limited subsampling. This latte","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091095","usgsCitation":"Pratt, T.L., 2009, Finding Trapped Miners by Using a Prototype Seismic Recording System Made from Music-Recording Hardware: U.S. Geological Survey Open-File Report 2009-1095, Report: iii, 35 p.; Sound Files, https://doi.org/10.3133/ofr20091095.","productDescription":"Report: iii, 35 p.; Sound Files","additionalOnlineFiles":"Y","costCenters":[{"id":648,"text":"Western Earthquake Hazards","active":false,"usgs":true}],"links":[{"id":126859,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1095.jpg"},{"id":12926,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1095/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fbe4b07f02db5f46f5","contributors":{"authors":[{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":303063,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97758,"text":"ofr20091169 - 2009 - Black and Brown Bear Activity at Selected Coastal Sites in Glacier Bay National Park and Preserve, Alaska: A Preliminary Assessment Using Noninvasive Procedures","interactions":[],"lastModifiedDate":"2012-02-02T00:14:27","indexId":"ofr20091169","displayToPublicDate":"2009-08-18T00:00:00","publicationYear":"2009","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":"2009-1169","title":"Black and Brown Bear Activity at Selected Coastal Sites in Glacier Bay National Park and Preserve, Alaska: A Preliminary Assessment Using Noninvasive Procedures","docAbstract":"A number of efforts in recent years have sought to predict bear activity in various habitats to minimize human disturbance and bear/human conflicts. Alaskan coastal areas provide important foraging areas for bears (Ursus americanus and U. arctos), particularly following den emergence when there may be no snow-free foraging alternatives. Additionally, coastal areas provide important food items for bears throughout the year. Glacier Bay National Park and Preserve (GLBA) in southeastern Alaska has extensive coastal habitats, and the National Park Service (NPS) has been long interested in learning more about the use of these coastal habitats by bears because these same habitats receive extensive human use by park visitors, especially kayaking recreationists. This study provides insight regarding the nature and intensity of bear activity at selected coastal sites within GLBA. We achieved a clearer understanding of bear/habitat relationships within GLBA by analyzing bear activity data collected with remote cameras, bear sign mapping, scat collections, and genetic analysis of bear hair.\r\n\r\nAlthough we could not quantify actual levels of bear activity at study sites, agreement among measures of activity (for example, sign counts, DNA analysis, and video record) lends support to our qualitative site assessments. This work suggests that habitat evaluation, bear sign mapping, and periodic scat counts can provide a useful index of bear activity for sites of interest.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091169","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Partridge, S., Smith, T., and Lewis, T., 2009, Black and Brown Bear Activity at Selected Coastal Sites in Glacier Bay National Park and Preserve, Alaska: A Preliminary Assessment Using Noninvasive Procedures: U.S. Geological Survey Open-File Report 2009-1169, vi, 63 p., https://doi.org/10.3133/ofr20091169.","productDescription":"vi, 63 p.","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":125481,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1169.jpg"},{"id":12925,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1169/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a1ce4b07f02db60838f","contributors":{"authors":[{"text":"Partridge, Steve","contributorId":83219,"corporation":false,"usgs":true,"family":"Partridge","given":"Steve","email":"","affiliations":[],"preferred":false,"id":303061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Tom","contributorId":7387,"corporation":false,"usgs":true,"family":"Smith","given":"Tom","affiliations":[],"preferred":false,"id":303060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, Tania","contributorId":100960,"corporation":false,"usgs":true,"family":"Lewis","given":"Tania","email":"","affiliations":[],"preferred":false,"id":303062,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97766,"text":"sim3001 - 2009 - Geologic Map of the Santa Barbara Coastal Plain Area, Santa Barbara County, California","interactions":[{"subject":{"id":32372,"text":"ofr2002136 - 2002 - Preliminary geologic map of the Santa Barbara coastal plain area, Santa Barbara County, California","indexId":"ofr2002136","publicationYear":"2002","noYear":false,"title":"Preliminary geologic map of the Santa Barbara coastal plain area, Santa Barbara County, California"},"predicate":"SUPERSEDED_BY","object":{"id":97766,"text":"sim3001 - 2009 - Geologic Map of the Santa Barbara Coastal Plain Area, Santa Barbara County, California","indexId":"sim3001","publicationYear":"2009","noYear":false,"title":"Geologic Map of the Santa Barbara Coastal Plain Area, Santa Barbara County, California"},"id":1}],"lastModifiedDate":"2012-02-10T00:11:55","indexId":"sim3001","displayToPublicDate":"2009-08-18T00:00:00","publicationYear":"2009","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":"3001","title":"Geologic Map of the Santa Barbara Coastal Plain Area, Santa Barbara County, California","docAbstract":"This report presents a newly revised and expanded digital geologic map of the Santa Barbara coastal plain area at a compilation scale of 1:24,000 (one inch on the map to 2,000 feet on the ground)1 and with a horizontal positional accuracy of at least 20 m. The map depicts the distribution of bedrock units and surficial deposits and associated deformation underlying and adjacent to the coastal plain within the contiguous Dos Pueblos Canyon, Goleta, Santa Barbara, and Carpinteria 7.5' quadrangles. The new map supersedes an earlier preliminary geologic map of the central part of the coastal plain (Minor and others, 2002; revised 2006) that provided coastal coverage only within the Goleta and Santa Barbara quadrangles. In addition to new mapping to the west and east, geologic mapping in parts of the central map area has been significantly revised from the preliminary map compilation - especially north of downtown Santa Barbara in the Mission Ridge area - based on new structural interpretations supplemented by new biostratigraphic data. All surficial and bedrock map units, including several new units recognized in the areas of expanded mapping, are described in detail in the accompanying pamphlet. Abundant new biostratigraphic and biochronologic data based on microfossil identifications are presented in expanded unit descriptions of the marine Neogene Monterey and Sisquoc Formations. Site-specific fault kinematic observations embedded in the digital map database are more complete owing to the addition of slip-sense determinations. Finally, the pamphlet accompanying the present report includes an expanded and refined summary of stratigraphic and structural observations and interpretations that are based on the composite geologic data contained in the new map compilation. \r\n\r\nThe Santa Barbara coastal plain is located in the western Transverse Ranges physiographic province along an east-west-trending segment of the southern California coastline about 100 km (62 mi) northwest of Los Angeles. The coastal plain surface includes several mesas and hills that are geomorphic expressions of potentially active folds and partly buried oblique and reverse faults of the Santa Barbara fold and fault belt (SBFFB) that transects the coastal plain. Strong earthquakes have occurred offshore within 10 km of the Santa Barbara coastal plain in 1925 (6.3 magnitude), 1941 (5.5 magnitude), and 1978 (5.1 magnitude). These and numerous smaller seismic events located beneath and offshore of the coastal plain, likely occurred on reverse-oblique-slip faults that are similar to, or continuous with, Quaternary reverse faults crossing the coastal plain. Thus, faults of the SBFFB pose a significant earthquake hazard to the approximately 200,000 people living within the major coastal population centers of Santa Barbara, Goleta, and Carpinteria. In addition, numerous Quaternary landslide deposits along the steep southern flank of the Santa Ynez Mountains indicate the potential for continued slope failures and mass movements in developed areas. Folded, faulted, and fractured sedimentary rocks in the subsurface of the coastal plain and adjacent Santa Barbara Channel are sources and form reservoirs for economic deposits of oil and gas, some of which are currently being extracted offshore. Shallow, localized sedimentary aquifers underlying the coastal plain provide limited amounts of water for the urban areas, but the quality of some of this groundwater is compromised by coastal salt-water contamination. The present map compilation provides a set of uniform geologic digital coverages that can be used for analysis and interpretation of these and other geologic hazards and resources in the coastal plain region.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3001","isbn":"9781411324893","usgsCitation":"Minor, S.A., Kellogg, K., Stanley, R.G., Gurrola, L.D., Keller, E.A., and Brandt, T.R., 2009, Geologic Map of the Santa Barbara Coastal Plain Area, Santa Barbara County, California (Supersedes OFR 02-136): U.S. Geological Survey Scientific Investigations Map 3001, Report: iv, 38 p.; Map: 77 x 44 inches; Downloads Directory, https://doi.org/10.3133/sim3001.","productDescription":"Report: iv, 38 p.; Map: 77 x 44 inches; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":229,"text":"Earth Surface Processes Team","active":false,"usgs":true}],"links":[{"id":118627,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3001.jpg"},{"id":12933,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3001/","linkFileType":{"id":5,"text":"html"}}],"scale":"25000","projection":"Polyconic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,34.3675 ], [ -120,34.5 ], [ -119.5,34.5 ], [ -119.5,34.3675 ], [ -120,34.3675 ] ] ] } } ] }","edition":"Supersedes OFR 02-136","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db6836b1","contributors":{"authors":[{"text":"Minor, Scott A. 0000-0002-6976-9235 sminor@usgs.gov","orcid":"https://orcid.org/0000-0002-6976-9235","contributorId":765,"corporation":false,"usgs":true,"family":"Minor","given":"Scott","email":"sminor@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":303087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kellogg, Karl S.","contributorId":89896,"corporation":false,"usgs":true,"family":"Kellogg","given":"Karl S.","affiliations":[],"preferred":false,"id":303090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":303089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gurrola, Larry D.","contributorId":95525,"corporation":false,"usgs":true,"family":"Gurrola","given":"Larry","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":303091,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keller, Edward A.","contributorId":106598,"corporation":false,"usgs":true,"family":"Keller","given":"Edward","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":303092,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brandt, Theodore R. 0000-0002-7862-9082 tbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-7862-9082","contributorId":1267,"corporation":false,"usgs":true,"family":"Brandt","given":"Theodore","email":"tbrandt@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":303088,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97768,"text":"ds458 - 2009 - Boundary of the Eagle River watershed valley-fill aquifer, Eagle County, north-central Colorado, 2006-2007","interactions":[],"lastModifiedDate":"2019-08-15T11:33:41","indexId":"ds458","displayToPublicDate":"2009-08-18T00:00:00","publicationYear":"2009","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":"458","title":"Boundary of the Eagle River watershed valley-fill aquifer, Eagle County, north-central Colorado, 2006-2007","docAbstract":"This vector data set delineates the approximate boundary of the Eagle River watershed valley-fill aquifer (ERWVFA). This data set was developed by a cooperative project between the U.S. Geological Survey, Eagle County, the Eagle River Water and Sanitation District, the Town of Eagle, the Town of Gypsum, and the Upper Eagle Regional Water Authority. This project was designed to evaluate potential land-development effects on groundwater and surface-water resources so that informed land-use and water management decisions can be made. The boundary of the ERWVFA was developed by combining information from two data sources. The first data source was a 1:250,000-scale geologic map of the Leadville quadrangle developed by Day and others (1999). The location of Quaternary sediments was used as a first approximation of the ERWVFA. The boundary of the ERWVFA was further refined by overlaying the geologic map with Digital Raster Graphic (DRG) scanned images of 1:24,000 topographic maps (U.S. Geological Survey, 2001). Where appropriate, the boundary of the ERWVFA was remapped to correspond with the edge of the valley-fill aquifer marked by an abrupt change in topography at the edge of the valley floor throughout the Eagle River watershed. The boundary of the ERWVFA more closely resembles a hydrogeomorphic region presented by Rupert (2003, p. 8) because it is based upon general geographic extents of geologic materials and not on an actual aquifer location as would be determined through a rigorous hydrogeologic investigation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds458","usgsCitation":"Rupert, M.G., and Plummer, N., 2009, Boundary of the Eagle River watershed valley-fill aquifer, Eagle County, north-central Colorado, 2006-2007: U.S. Geological Survey Data Series 458, 12 p., https://doi.org/10.3133/ds458.","productDescription":"12 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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Michael G. mgrupert@usgs.gov","contributorId":1194,"corporation":false,"usgs":true,"family":"Rupert","given":"Michael","email":"mgrupert@usgs.gov","middleInitial":"G.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":303098,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97769,"text":"ds459 - 2009 - Probability of Elevated Nitrate Concentrations in Groundwater in the Eagle River Watershed Valley-Fill Aquifer, Eagle County, North-Central Colorado, 2006-2007","interactions":[],"lastModifiedDate":"2018-03-21T15:13:58","indexId":"ds459","displayToPublicDate":"2009-08-18T00:00:00","publicationYear":"2009","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":"459","title":"Probability of Elevated Nitrate Concentrations in Groundwater in the Eagle River Watershed Valley-Fill Aquifer, Eagle County, North-Central Colorado, 2006-2007","docAbstract":"This raster data set delineates the predicted probability of elevated nitrate concentrations in groundwater in the Eagle River watershed valley-fill aquifer, Eagle County, North-Central Colorado, 2006-2007. This data set was developed by a cooperative project between the U.S. Geological Survey, Eagle County, the Eagle River Water and Sanitation District, the Town of Eagle, the Town of Gypsum, and the Upper Eagle Regional Water Authority. This project was designed to evaluate potential land-development effects on groundwater and surface-water resources so that informed land-use and water management decisions can be made. This groundwater probability map and its associated probability maps was developed as follows: (1) A point data set of wells with groundwater quality and groundwater age data was overlaid with thematic layers of anthropogenic (related to human activities) and hydrogeologic data by using a geographic information system to assign each well values for depth to groundwater, distance to major streams and canals, distance to gypsum beds, precipitation, soils, and well depth. These data then were downloaded to a statistical software package for analysis by logistic regression. (2) Statistical models predicting the probability of elevated nitrate concentrations, the probability of unmixed young water (using chlorofluorocarbon-11 concentrations and tritium activities), and the probability of elevated volatile organic compound concentrations were developed using logistic regression techniques. (3) The statistical models were entered into a GIS and the probability map was constructed.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds459","usgsCitation":"Rupert, M.G., and Plummer, N., 2009, Probability of Elevated Nitrate Concentrations in Groundwater in the Eagle River Watershed Valley-Fill Aquifer, Eagle County, North-Central Colorado, 2006-2007: U.S. Geological Survey Data Series 459, Available online only, https://doi.org/10.3133/ds459.","productDescription":"Available online only","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":198307,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12940,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/459/","linkFileType":{"id":5,"text":"html"}},{"id":13973,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/sir095082_no3.xml","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db660b7f","contributors":{"authors":[{"text":"Rupert, Michael G. mgrupert@usgs.gov","contributorId":1194,"corporation":false,"usgs":true,"family":"Rupert","given":"Michael","email":"mgrupert@usgs.gov","middleInitial":"G.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":303100,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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