{"pageNumber":"157","pageRowStart":"3900","pageSize":"25","recordCount":10951,"records":[{"id":70044931,"text":"ofr20131025 - 2013 - Landscape consequences of natural gas extraction in Allegheny and Susquehanna Counties, Pennsylvania, 2004--2010","interactions":[],"lastModifiedDate":"2013-03-25T09:27:57","indexId":"ofr20131025","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"2013-1025","title":"Landscape consequences of natural gas extraction in Allegheny and Susquehanna Counties, Pennsylvania, 2004--2010","docAbstract":"Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Coalbed methane, which is sometimes extracted using the same technique, is commonly located in the same general area as the Marcellus Shale and is frequently developed in clusters of wells across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Allegheny County and Susquehanna County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131025","usgsCitation":"Slonecker, E., Milheim, L., Roig-Silva, C., and Malizia, A., 2013, Landscape consequences of natural gas extraction in Allegheny and Susquehanna Counties, Pennsylvania, 2004--2010: U.S. Geological Survey Open-File Report 2013-1025, v, 33 p., https://doi.org/10.3133/ofr20131025.","productDescription":"v, 33 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":269980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131025.gif"},{"id":269978,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1025/"},{"id":269979,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1025/OFR2013_1025.pdf"}],"country":"United States","state":"Pennsylvania","county":"Allegheny County;Susquehanna County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.616,39.8197 ], [ -80.616,42.4619 ], [ -75.1771,42.4619 ], [ -75.1771,39.8197 ], [ -80.616,39.8197 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163e6e4b087909f0bbe4f","contributors":{"authors":[{"text":"Slonecker, E.T.","contributorId":41132,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.T.","email":"","affiliations":[],"preferred":false,"id":476481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milheim, L.E.","contributorId":106320,"corporation":false,"usgs":true,"family":"Milheim","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":476484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roig-Silva, C.M.","contributorId":45176,"corporation":false,"usgs":true,"family":"Roig-Silva","given":"C.M.","affiliations":[],"preferred":false,"id":476482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malizia, A.R.","contributorId":98991,"corporation":false,"usgs":true,"family":"Malizia","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":476483,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044915,"text":"sir20135012 - 2013 - Paleomagnetic correlation and ages of basalt flow groups in coreholes at and near the Naval Reactors Facility, Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2013-03-23T15:52:02","indexId":"sir20135012","displayToPublicDate":"2013-03-23T00:00:00","publicationYear":"2013","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":"2013-5012","title":"Paleomagnetic correlation and ages of basalt flow groups in coreholes at and near the Naval Reactors Facility, Idaho National Laboratory, Idaho","docAbstract":"Paleomagnetic inclination and polarity studies were conducted on subcore samples from eight coreholes located at and near the Naval Reactors Facility (NRF), Idaho National Laboratory (INL). These studies were used to characterize and to correlate successive stratigraphic basalt flow groups in each corehole to basalt flow groups with similar paleomagnetic inclinations in adjacent coreholes. Results were used to extend the subsurface geologic framework at the INL previously derived from paleomagnetic data for south INL coreholes. Geologic framework studies are used in conceptual and numerical models of groundwater flow and contaminant transport. Sample handling and demagnetization protocols are described, as well as the paleomagnetic data averaging process.\n\nPaleomagnetic inclination comparisons among NRF coreholes show comparable stratigraphic successions of mean inclination values over tens to hundreds of meters of depth. Corehole USGS 133 is more than 5 kilometers from the nearest NRF area corehole, and the mean inclination values of basalt flow groups in that corehole are somewhat less consistent than with NRF area basalt flow groups. Some basalt flow groups in USGS 133 are missing, additional basalt flow groups are present, or the basalt flow groups are at depths different from those of NRF area coreholes.\n\nAge experiments on young, low potassium olivine tholeiite basalts may yield inconclusive results; paleomagnetic and stratigraphic data were used to choose the most reasonable ages. Results of age experiments using conventional potassium argon and argon-40/argon-39 protocols indicate that the youngest and uppermost basalt flow group in the NRF area is 303 ± 30 ka and that the oldest and deepest basalt flow group analyzed is 884 ± 53 ka.\n\nA south to north line of cross-section drawn through the NRF coreholes shows corehole-to-corehole basalt flow group correlations derived from the paleomagnetic inclination data. From stratigraphic top to bottom, key results include the following:\n\n* The West of Advanced Test Reactor Complex (ATRC) flow group is the uppermost basalt flow group in the NRF area and correlates among seven continuously cored holes in this study under surficial sediments. The West of ATRC flow group is also found in coreholes near the ATRC, the Idaho Nuclear Technology and Engineering Center (INTEC), and in corehole USGS 129.\n* The ATRC Unknown Vent flow group correlates among seven continuously cored holes in this study underlying the West of ATRC flow group and a sedimentary interbed. Additional paleomagnetic inclination and stratigraphic data derived from the NRF coreholes changed the previously reported interpretation of the subsurface distribution of this basalt flow group. The ATRC Unknown Vent flow group also is found in coreholes near the ATRC and INTEC.\n* The Central Facilities Area (CFA) Buried Vent flow group correlates among all eight coreholes in the NRF area. It also is found in coreholes near the CFA and the Radioactive Waste Management Complex (RWMC) to the south. This basalt flow group is thickest near the CFA, which may indicate proximity to the vent. The State Butte flow group is found below the CFA Buried Vent flow group in the four northern NRF coreholes. It correlates to the State Butte surface vent located just northeast of the NRF. It is not found in coreholes south of the NRF.\n* The Atomic Energy Commission (AEC) Butte flow group is found in coreholes USGS 133, NRF 6P, and NRF 7P. It probably underlies coreholes NRF B18-1, NRF 89-05, and NRF 89-04, but those coreholes were not drilled deeply enough to penetrate the flow group. The AEC Butte flow group vent is exposed at the surface near the ATRC, and its flows are found in many coreholes near the ATRC and INTEC. The AEC Butte flow group abruptly pinches out against the Matuyama Chron reversed polarity flows of the East Matuyama Middle flow group between coreholes NRF 7P and NRF 15.\n* The East Matuyama Middle flow group correlates between coreholes NRF 15 and NRF 16 and may correlate to coreholes NPR Test/W-02 and ANL-OBS-A-001.\n* The North Late Matuyama flow group correlates among coreholes USGS 133, NRF 6P, NRF 7P, NRF 15, and NRF 16. It probably underlies coreholes NRF B18-1, NRF 89-05, and NRF 89-04, but those coreholes were not drilled deeply enough to penetrate the flow group. The vent that produced the North Late Matuyama flow group may be located in the general NRF area because it is thickest near corehole NRF 6P.\n* The Matuyama flow group is found in coreholes in the southern INL from south of the RWMC to corehole USGS 133 and may extend north to corehole NRF 15. The Matuyama flow group is thickest near the RWMC and thins to the north.\n* The Jaramillo (Matuyama) flow group is found in corehole NRF 15, which is the deepest NRF corehole, and shows that the basalt flow group is thick in the subsurface at NRF. This flow group is thickest between the RWMC and INTEC and thins towards the ATRC and NRF.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135012","collaboration":"DOE/ID-22223 Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Champion, D.E., Davis, L.C., Hodges, M., and Lanphere, M.A., 2013, Paleomagnetic correlation and ages of basalt flow groups in coreholes at and near the Naval Reactors Facility, Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2013-5012, vi, 48 p.; Plate: 1 Sheet: 17 x 11 inches, https://doi.org/10.3133/sir20135012.","productDescription":"vi, 48 p.; Plate: 1 Sheet: 17 x 11 inches","numberOfPages":"58","additionalOnlineFiles":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":269874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135012.jpg"},{"id":269871,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5012/"},{"id":269873,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5012/pdf/sir20135012_plate1.pdf"},{"id":269872,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5012/pdf/sir20135012.pdf"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.5,-43.0 ], [ -113.5,44.5 ], [ -112.0,44.5 ], [ -112.0,-43.0 ], [ -113.5,-43.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514ec0d8e4b0978cb8834030","contributors":{"authors":[{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":476460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Linda C. lcdavis@usgs.gov","contributorId":2539,"corporation":false,"usgs":true,"family":"Davis","given":"Linda","email":"lcdavis@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hodges, Mary K.V.","contributorId":66848,"corporation":false,"usgs":true,"family":"Hodges","given":"Mary K.V.","affiliations":[],"preferred":false,"id":476461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanphere, Marvin A. alder@usgs.gov","contributorId":2696,"corporation":false,"usgs":true,"family":"Lanphere","given":"Marvin","email":"alder@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":476459,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044740,"text":"sir20125247 - 2013 - Geophysical and hydrologic analysis of an earthen dam site in southern Westchester County, New York","interactions":[],"lastModifiedDate":"2013-03-21T14:03:42","indexId":"sir20125247","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","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":"2012-5247","title":"Geophysical and hydrologic analysis of an earthen dam site in southern Westchester County, New York","docAbstract":"Ninety percent of the drinking water for New York City passes through the Hillview Reservoir facility in the City of Yonkers, Westchester County, New York. In the past, several seeps located downslope from the reservoir have flowed out from the side of the steepest slope at the southern end of the earthen embankment. One seep that has been flowing continuously was discovered during an inspection of the embankment in 1999. Efforts were made in 2001 to locate the potential sources of the continuous flowing seep. In 2005, the U.S. Geological Survey, in cooperation with the New York City Department of Environmental Protection, began a cooperative study to investigate the relevant hydrogeologic framework to characterize the local groundwater-flow system and to determine possible sources of the seeps. The two agencies used hydrologic and surface geophysical techniques to assess the earthen embankment of the Hillview Reservoir. Between April 1, 2005 and March 1, 2008, water levels were measured manually each month at 46 wells surrounding the reservoir, and flow was measured monthly at three of the five seeps on the embankment. Water levels were measured hourly in the East Basin of the reservoir, at 24 of 46 wells, and discharge was measured hourly at two of the five seeps. Slug tests were performed at 16 wells to determine the hydraulic conductivity of the geologic material surrounding the screened zone. Estimated hydraulic conductivities for 25 wells on the southern embankment ranged from 0.0063 to 1.2 feet per day and averaged 0.17 foot per day. The two-dimensional resistivity surveys indicate a subsurface mound of electrically conductive material (low-resistivity zone) beneath the terrace area (top of dam) surrounding the reservoir with a distinct elevation increase closer to the crest. Two-dimensional shear wave velocity surveys indicate a similar structure of the high shear wave velocity materials (high-velocity zone), increasing in elevation toward the crest and decreasing toward the reservoir and toward the northern part of the study area. Water-quality samples collected from 12 wells, downtake chamber 1 of the reservoir, and two seeps detected the presence of arsenic, toluene, and two trihalomethanes. Water-quality samples collected at the two seeps detected fluoride, indicating a connection with reservoir water.\n\nShallow wells on the southern embankment exhibited the largest seasonal water-level fluctuations ranging between 6 feet and 12 feet. The embankment is constructed from reworked low-permeability glacial deposits at the site. Water-level responses in observation wells within the embankment indicate that there is a shallow (approximately the upper 45 feet of the embankment) and a deep water-bearing unit within the embankment with a large downward vertical gradient between the shallow and deep water-bearing units. Precipitation strongly affected water levels in shallow wells, whereas the basin appears to be the main control on water levels in the deep wells. Seeps on the embankment slope appear to be caused by above-average precipitation that increases water levels in the shallow water-bearing unit, but does not easily recharge the deep water-bearing unit. Based on the data that have been analyzed, source water to the seeps appears to be primarily groundwater and, to a lesser extent, water from the East Basin of the reservoir.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125247","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Chu, A., Stumm, F., Joesten, P.K., and Noll, M.L., 2013, Geophysical and hydrologic analysis of an earthen dam site in southern Westchester County, New York: U.S. Geological Survey Scientific Investigations Report 2012-5247, vii, 64 p., https://doi.org/10.3133/sir20125247.","productDescription":"vii, 64 p.","numberOfPages":"76","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":269858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125247.gif"},{"id":269856,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5247/"},{"id":269857,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5247/pdf/sir2012-5247_report_508.pdf"}],"country":"United States","state":"New York","county":"Westchester County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.982887,40.878872 ], [ -73.982887,41.36384 ], [ -73.482709,41.36384 ], [ -73.482709,40.878872 ], [ -73.982887,40.878872 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1ddee4b0cf4196fef2d9","contributors":{"authors":[{"text":"Chu, Anthony 0000-0001-8623-2862 achu@usgs.gov","orcid":"https://orcid.org/0000-0001-8623-2862","contributorId":2517,"corporation":false,"usgs":true,"family":"Chu","given":"Anthony","email":"achu@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stumm, Frederick 0000-0002-5388-8811 fstumm@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-8811","contributorId":1077,"corporation":false,"usgs":true,"family":"Stumm","given":"Frederick","email":"fstumm@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joesten, Peter K. pjoesten@usgs.gov","contributorId":1929,"corporation":false,"usgs":true,"family":"Joesten","given":"Peter","email":"pjoesten@usgs.gov","middleInitial":"K.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noll, Michael L. 0000-0003-2050-3134 mnoll@usgs.gov","orcid":"https://orcid.org/0000-0003-2050-3134","contributorId":4652,"corporation":false,"usgs":true,"family":"Noll","given":"Michael","email":"mnoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044671,"text":"70044671 - 2013 - Representation of ecological systems within the protected areas network of the continental United States","interactions":[],"lastModifiedDate":"2018-12-20T13:16:17","indexId":"70044671","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Representation of ecological systems within the protected areas network of the continental United States","docAbstract":"If conservation of biodiversity is the goal, then the protected areas network of the continental US may be one of our best conservation tools for safeguarding ecological systems (i.e., vegetation communities). We evaluated representation of ecological systems in the current protected areas network and found insufficient representation at three vegetation community levels within lower elevations and moderate to high productivity soils. We used national-level data for ecological systems and a protected areas database to explore alternative ways we might be able to increase representation of ecological systems within the continental US. By following one or more of these alternatives it may be possible to increase the representation of ecological systems in the protected areas network both quantitatively (from 10% up to 39%) and geographically and come closer to meeting the suggested Convention on Biological Diversity target of 17% for terrestrial areas. We used the Landscape Conservation Cooperative framework for regional analysis and found that increased conservation on some private and public lands may be important to the conservation of ecological systems in Western US, while increased public-private partnerships may be important in the conservation of ecological systems in Eastern US. We have not assessed the pros and cons of following the national or regional alternatives, but rather present them as possibilities that may be considered and evaluated as decisions are made to increase the representation of ecological systems in the protected areas network across their range of ecological, geographical, and geophysical occurrence in the continental US into the future.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0054689","usgsCitation":"Aycrigg, J.L., Davidson, A., Svancara, L.K., Gergely, K.J., McKerrow, A., and Scott, J.M., 2013, Representation of ecological systems within the protected areas network of the continental United States: PLoS ONE, v. 8, no. 1, e54689; 15 p., https://doi.org/10.1371/journal.pone.0054689.","productDescription":"e54689; 15 p.","ipdsId":"IP-035086","costCenters":[{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":473908,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0054689","text":"Publisher Index Page"},{"id":269836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269835,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0054689"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -126.0,23.5 ], [ -126.0,49.0 ], [ -68.5,49.0 ], [ -68.5,23.5 ], [ -126.0,23.5 ] ] ] } } ] }","volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-23","publicationStatus":"PW","scienceBaseUri":"514c1de1e4b0cf4196fef2e5","contributors":{"authors":[{"text":"Aycrigg, Jocelyn L.","contributorId":99445,"corporation":false,"usgs":true,"family":"Aycrigg","given":"Jocelyn","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":476213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davidson, Anne","contributorId":48268,"corporation":false,"usgs":true,"family":"Davidson","given":"Anne","affiliations":[],"preferred":false,"id":476211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Svancara, Leona K.","contributorId":20071,"corporation":false,"usgs":true,"family":"Svancara","given":"Leona","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":476210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gergely, Kevin J. 0000-0002-4379-2189 gergely@usgs.gov","orcid":"https://orcid.org/0000-0002-4379-2189","contributorId":2706,"corporation":false,"usgs":true,"family":"Gergely","given":"Kevin","email":"gergely@usgs.gov","middleInitial":"J.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":476208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":4542,"corporation":false,"usgs":false,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":476209,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, J. Michael","contributorId":98877,"corporation":false,"usgs":true,"family":"Scott","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":476212,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188514,"text":"70188514 - 2013 - Lateglacial and Holocene climate, disturbance and permafrost peatland dynamics on the Seward Peninsula, western Alaska","interactions":[],"lastModifiedDate":"2017-06-14T13:36:29","indexId":"70188514","displayToPublicDate":"2013-03-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Lateglacial and Holocene climate, disturbance and permafrost peatland dynamics on the Seward Peninsula, western Alaska","docAbstract":"

Northern peatlands have accumulated large carbon (C) stocks, acting as a long-term atmospheric C sink since the last deglaciation. How these C-rich ecosystems will respond to future climate change, however, is still poorly understood. Furthermore, many northern peatlands exist in regions underlain by permafrost, adding to the challenge of projecting C balance under changing climate and permafrost dynamics. In this study, we used a paleoecological approach to examine the effect of past climates and local disturbances on vegetation and C accumulation at a peatland complex on the southern Seward Peninsula, Alaska over the past ∼15 ka (1 ka = 1000 cal yr BP). We analyzed two cores about 30 m apart, NL10-1 (from a permafrost peat plateau) and NL10-2 (from an adjacent thermokarst collapse-scar bog), for peat organic matter (OM), C accumulation rates, macrofossil, pollen and grain size analysis.

A wet rich fen occurred during the initial stages of peatland development at the thermokarst site (NL10-2). The presence of tree pollen from Picea spp. and Larix laricinia at 13.5–12.1 ka indicates a warm regional climate, corresponding with the well-documented Bølling–Allerød warm period. A cold and dry climate interval at 12.1–11.1 ka is indicated by the disappearance of tree pollen and increase in Poaceae pollen and an increase in woody material, likely representing a local expression of the Younger Dryas (YD) event. Following the YD, the warm Holocene Thermal Maximum (HTM) is characterized by the presence of Populus pollen, while the presence of Sphagnum spp. and increased C accumulation rates suggest high peatland productivity under a warm climate. Toward the end of the HTM and throughout the mid-Holocene a wet climate-induced several major flooding disturbance events at 10 ka, 8.1 ka, 6 ka, 5.4 ka and 4.7 ka, as evidenced by decreases in OM, and increases in coarse sand abundance and aquatic fossils (algae Chara and water fleas Daphnia). The initial peatland at permafrost site (NL10-1) is characterized by rapid C accumulation (66 g C m−2 yr−1), high OM content and a peak in Sphagnum spp. at 5.8–4.6 ka, suggesting the lack of permafrost. A transition to extremely low C accumulation rates of 6.3 g C m−2 yr−1 after 4.5 ka at this site suggests the onset of permafrost aggradation, likely in response to Neoglacial climate cooling as documented across the circum-Arctic region. A similar decrease in C accumulation rates also occurred at non-permafrost site NL10-2. Time-weighted C accumulation rates are 21.8 g C m−2 yr−1 for core NL10-1 during the last ∼6.5 ka and 14.8 g C m−2 yr−1 for core NL10-2 during the last ∼15 ka. Evidence from peat-core analysis and historical aerial photographs shows an abrupt increase in Sphagnum spp. and decrease in area of thermokarst lakes over the last century, suggesting major changes in hydrology and ecosystem structure, likely due to recent climate warming.

Our results show that the thermokarst–permafrost complex was much more dynamic with high C accumulation rates under warmer climates in the past, while permafrost was stabilized and C accumulation slowed down following the Neoglacial cooling in the late Holocene. Furthermore, permafrost presence at local scales is controlled by both regional climate and site-specific factors, highlighting the challenge in projecting responses of permafrost peatlands and their C dynamics to future climate change.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2012.11.019","usgsCitation":"Hunt, S.D., Yu, Z., and Jones, M.C., 2013, Lateglacial and Holocene climate, disturbance and permafrost peatland dynamics on the Seward Peninsula, western Alaska: Quaternary Science Reviews, v. 63, p. 42-58, https://doi.org/10.1016/j.quascirev.2012.11.019.","productDescription":"16 p.","startPage":"42","endPage":"58","ipdsId":"IP-042048","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska ","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -163.47381591796875,\n 64.66225203688786\n ],\n [\n -163.41699600219727,\n 64.66225203688786\n ],\n [\n -163.41699600219727,\n 64.68105206571617\n ],\n [\n -163.47381591796875,\n 64.68105206571617\n ],\n [\n -163.47381591796875,\n 64.66225203688786\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"63","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59424b3ce4b0764e6c65dc6b","contributors":{"authors":[{"text":"Hunt, Stephanie D.","contributorId":58532,"corporation":false,"usgs":true,"family":"Hunt","given":"Stephanie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":698173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yu, Zicheng 0000-0003-2358-2712","orcid":"https://orcid.org/0000-0003-2358-2712","contributorId":147521,"corporation":false,"usgs":false,"family":"Yu","given":"Zicheng","email":"","affiliations":[{"id":16857,"text":"Lehigh Univ.","active":true,"usgs":false}],"preferred":false,"id":698174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Miriam C. 0000-0002-6650-7619 miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":698109,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044640,"text":"ds743 - 2013 - Lead isotope determinations from sulfide mineral occurrences--Russian Far East","interactions":[],"lastModifiedDate":"2013-03-18T15:19:48","indexId":"ds743","displayToPublicDate":"2013-03-18T00:00:00","publicationYear":"2013","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":"743","title":"Lead isotope determinations from sulfide mineral occurrences--Russian Far East","docAbstract":"The lead isotope database for sulfide deposits and occurrences in the Russian Far East was funded by the Mineral Resources Program, U.S. Geological Survey (USGS) in conjunction with the collaborative studies of mineral resources by the Russian Academy of Sciences and the U. S. Geological Survey (Nokleberg and others, 1996). Comparisons of these data with similar lead isotope data from Alaska published in Church, Delevaux, and others (1987) and Gaccetta and Church (1989) provide a basis for the following three-fold project objectives: 1. To utilize lead isotope signatures, in conjunction with regional mapping, to assess the relative ages and to categorize the types of mineral deposits studied, 2. To relate the lead isotope and trace-element geochemical signatures of specific deposits and occurrences to ore-forming processes, and 3. To use the lead isotope data to correlate lithotectonic terranes within the northern Cordillera (Alaska, Yukon Territories and British Columbia in Canada, and the western Cordillera of the United States). The report by Church, Gray, and others (1987) shows how this fingerprinting methodology can be applied to trace the offset of lithotectonic (or lithostratigraphic as labeled by some authors) terranes.The lead isotope data presented in table 1 represent the work completed on sulfide mineral deposits located in the Russian Far East from 1993 to 1995, when this study was terminated due to lack of funding. The lead isotope data are reported here for use by investigators who may find them of value in mineral exploration. No attempt is made to summarize the voluminous literature on these mineral deposits.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds743","usgsCitation":"Church, S.E., Goryachev, N., and Shpikerman, V.I., 2013, Lead isotope determinations from sulfide mineral occurrences--Russian Far East: U.S. Geological Survey Data Series 743, Report: iv, 4 p.; 2 Tables, Table 1: XLS file, Table 1: PDF file, https://doi.org/10.3133/ds743.","productDescription":"Report: iv, 4 p.; 2 Tables, Table 1: XLS file, Table 1: PDF file","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":269677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds743.gif"},{"id":269675,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/743/DS743_table%201.xlsx"},{"id":269673,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/743/"},{"id":269674,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/743/DS743.pdf"},{"id":269676,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/743/DS743_table%201.pdf"}],"country":"Russia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 129.20,50.96 ], [ 129.20,71.86 ], [ -163.83,71.86 ], [ -163.83,50.96 ], [ 129.20,50.96 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5148295de4b022dd171afdb0","contributors":{"authors":[{"text":"Church, Stan E. schurch@usgs.gov","contributorId":803,"corporation":false,"usgs":true,"family":"Church","given":"Stan","email":"schurch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":476109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goryachev, Nikolai A.","contributorId":7318,"corporation":false,"usgs":true,"family":"Goryachev","given":"Nikolai A.","affiliations":[],"preferred":false,"id":476110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shpikerman, Vladimir I.","contributorId":35766,"corporation":false,"usgs":true,"family":"Shpikerman","given":"Vladimir","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":476111,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044612,"text":"70044612 - 2013 - Movements and dive patterns of short-finned pilot whales (Globicephala macrorhynchus) released from a mass stranding in the Florida Keys","interactions":[],"lastModifiedDate":"2018-03-29T11:24:17","indexId":"70044612","displayToPublicDate":"2013-03-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":869,"text":"Aquatic Mammals","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Movements and dive patterns of short-finned pilot whales (Globicephala macrorhynchus) released from a mass stranding in the Florida Keys","title":"Movements and dive patterns of short-finned pilot whales (Globicephala macrorhynchus) released from a mass stranding in the Florida Keys","docAbstract":"

Short-finned pilot whales (Globicephala macrorhynchus) are among the most common cetaceans to engage in mass strandings in the southeastern United States. Because these are primarily pelagic, continental shelf-edge animals, much of what is known about this species has derived from mass stranding events. Post-release monitoring via satellite-linked telemetry was conducted with two adult males determined on-site to be healthy, and released directly from a mass stranding of 23 pilot whales in May 2011, near Cudjoe Key, Florida. Tracking provided an opportunity to evaluate the decision for immediate release vs rehabilitation, and to learn more about the lives of members of this difficult-to-study species in the wild. The two pilot whales remained together for at least 16 d before transmissions from one pilot whale (Y-404) ceased. Dive patterns and travel rates suggested that Y-404’s condition deteriorated prior to signal loss. Pilot Whale Y-400 was tracked for another 51 d, moving from the Blake Plateau to the Greater Antilles, remaining in the Windward Passage east of Cuba for the last 17 d of tracking. Once he reached the Antilles, Y-400 remained in high-relief habitat appropriate for the species and made dives within or exceeding the reported range for depth and duration for this species, following expected diel patterns, presumably reflecting continued good health. Telemetry data indicate that he made at least one dive to 1,000 to 1,500 m, and several dives lasted more than 40 min. Although the fates of the two released pilot whales may have been different, the concept of evaluating health and releasing individuals determined to be healthy at the time of stranding appears to have merit as an alternative to bringing all members of mass-stranded pilot whale groups into rehabilitation.

","language":"English","publisher":"European Association for Aquatic Mammals","doi":"10.1578/AM.39.1.2013.61","usgsCitation":"Wells, R.S., Fougeres, E.M., Cooper, A.G., Stevens, R.O., Brodsky, M., Lingenfelser, R., Dold, C., and Douglas, D.C., 2013, Movements and dive patterns of short-finned pilot whales (Globicephala macrorhynchus) released from a mass stranding in the Florida Keys: Aquatic Mammals, v. 39, no. 1, p. 61-72, https://doi.org/10.1578/AM.39.1.2013.61.","productDescription":"12 p.","startPage":"61","endPage":"72","ipdsId":"IP-043263","costCenters":[{"id":115,"text":"Alaska Science Center Biology","active":false,"usgs":true}],"links":[{"id":269562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-03-01","publicationStatus":"PW","scienceBaseUri":"5146d7dbe4b0694ee75ad3d4","contributors":{"authors":[{"text":"Wells, Randall S.","contributorId":81773,"corporation":false,"usgs":true,"family":"Wells","given":"Randall","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fougeres, Erin M.","contributorId":52057,"corporation":false,"usgs":true,"family":"Fougeres","given":"Erin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Arthur G.","contributorId":41308,"corporation":false,"usgs":true,"family":"Cooper","given":"Arthur","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":476006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevens, Robert O.","contributorId":66566,"corporation":false,"usgs":true,"family":"Stevens","given":"Robert","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":476008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brodsky, Micah","contributorId":34401,"corporation":false,"usgs":true,"family":"Brodsky","given":"Micah","email":"","affiliations":[],"preferred":false,"id":476005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lingenfelser, Robert","contributorId":7155,"corporation":false,"usgs":true,"family":"Lingenfelser","given":"Robert","email":"","affiliations":[],"preferred":false,"id":476004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dold, Chris","contributorId":77015,"corporation":false,"usgs":true,"family":"Dold","given":"Chris","affiliations":[],"preferred":false,"id":476009,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":476003,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70044520,"text":"sir20135003 - 2013 - Hydrologic data and groundwater flow simulations in the vicinity of Long Lake, Indiana Dunes National Lakeshore, near Gary, Indiana","interactions":[],"lastModifiedDate":"2018-10-02T11:21:55","indexId":"sir20135003","displayToPublicDate":"2013-03-11T00:00:00","publicationYear":"2013","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":"2013-5003","title":"Hydrologic data and groundwater flow simulations in the vicinity of Long Lake, Indiana Dunes National Lakeshore, near Gary, Indiana","docAbstract":"

The U.S. Geological Survey (USGS) collected data and simulated groundwater flow to increase understanding of the hydrology and the effects of drainage alterations to the water table in the vicinity of Long Lake, near Gary, Indiana. East Long Lake and West Long Lake (collectively known as Long Lake) make up one of the largest interdunal lakes within the Indiana Dunes National Lakeshore. The National Park Service is tasked with preservation and restoration of wetlands in the Indiana Dunes National Lakeshore along the southern shoreline of Lake Michigan. Urban development and engineering have modified drainage and caused changes in the distribution of open water, streams and ditches, and groundwater abundance and flow paths. A better understanding of the effects these modifications have on the hydrologic system in the area will help the National Park Service, the Gary Sanitary District (GSD), and local stakeholders manage and protect the resources within the study area.

This study used hydrologic data and steady-state groundwater simulations to estimate directions of groundwater flow and the effects of various engineering controls and climatic conditions on the hydrology near Long Lake. Periods of relatively high and low groundwater levels were examined and simulated by using MODFLOW and companion software. Simulated hydrologic modifications examined the effects of (1) removing the beaver dams in US-12 ditch, (2) discontinuing seepage of water from the filtration pond east of East Long Lake, (3) discontinuing discharge from US-12 ditch to the GSD sewer system, (4) decreasing discharge from US-12 ditch to the GSD sewer system, (5) connecting East Long Lake and West Long Lake, (6) deepening County Line Road ditch, and (7) raising and lowering the water level of Lake Michigan.

Results from collected hydrologic data indicate that East Long Lake functioned as an area of groundwater recharge during October 2002 and a “flow-through” lake during March 2011, with the groundwater divide south of US-12. Wetlands to the south of West Long Lake act as points of recharge to the surficial aquifer in both dry- and wet-weather conditions.

Among the noteworthy results from a dry-weather groundwater flow model simulation are (1) US-12 ditch does not receive water from East Long Lake or West Long Lake, (2) the filtration pond at the east end of East Long Lake, when active, contributed approximately 10 percent of the total water entering East Long Lake, and (3) County Line Road ditch has little effect on simulated water level.

Among the noteworthy results from a wet-weather groundwater flow simulation are (1) US-12 ditch does not receive water from East Long Lake or West Long Lake, (2) when the seepage from the filtration pond to the surficial aquifer is not active, sources of inflow to East Long Lake are restricted to only precipitation (46 percent of total) and inflow from the surficial aquifer (54 percent of total), and (3) County Line Road ditch bisects the groundwater divide and creates two water-table mounds south of US-12.

The results from a series of model scenarios simulating certain engineering controls and changes in Lake Michigan levels include the following: (1) The simulated removal of beaver dams in US-12 ditch during a wet-weather simulation increased discharge from the ditch to the Gary Sanitary system by 13 percent. (2) Discontinuation of seepage from the filtration pond east of East Long Lake decreased discharge from US-12 ditch to the Gary Sanitary system by 2.3 percent. (3) Simulated discontinuation of discharge from the US-12 ditch to the GSD sewer system increased the area where the water table was estimated to be above the land surface beyond the inundated area in the initial wet-weather simulation. (4) Simulated modifications to the control structure at the discharge point of US-12 ditch to the GSD sewer system can decrease discharge by as much as 61 percent while increasing the simulated inundated area during dry weather and decrease discharge as much as 6 percent while increasing the simulated inundated area during wet weather. (5) Deepening of County Line Road ditch can decrease the discharge from US-12 ditch by 26 percent during dry weather and 24 percent during wet weather, as well as decrease the extent of flooded areas south and east of the filtration pond near Ogden Dunes. (7) The increase of the Lake Michigan water level to match the historical maximum can increase the discharge from US-12 ditch by 14 percent during dry weather and by 9.6 percent during wet weather. (8) The decrease of the Lake Michigan water level to match the historical minimum can decrease the discharge from US-12 ditch by 7.4 percent during dry weather and by 3.1 percent during wet weather.

The results of this study can be used by water-resource managers to understand how surrounding ditches affect water levels in East and West Long Lake and in the surrounding wetlands and residential areas. The groundwater model developed in this study can be applied in the future to answer questions about how alterations to the drainage system in the area will affect water levels in East and West Long Lake and surrounding areas. The modeling methods developed in this study provide a template for other studies of groundwater flow and groundwater/surface-water interactions within the shallow surficial aquifer in northern Indiana, and in similar hydrologic settings that include surficial sand aquifers in coastal settings.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135003","collaboration":"Prepared in cooperation with the Gary Sanitary District, the Lake Michigan Coastal Program, the U.S. Army Corps of Engineers, and the National Park Service","usgsCitation":"Lampe, D.C., and Bayless, E.R., 2013, Hydrologic data and groundwater flow simulations in the vicinity of Long Lake, Indiana Dunes National Lakeshore, near Gary, Indiana: U.S. Geological Survey Scientific Investigations Report 2013-5003, Report: xii, 96 p.; Data releases, https://doi.org/10.3133/sir20135003.","productDescription":"Report: xii, 96 p.; Data releases","numberOfPages":"112","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":357924,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZP45D5","text":"USGS data release","description":"USGS data release","linkHelpText":"2018 - MODFLOW-NWT model scenarios used to evaluate potential effects of proposed drainage modifications on groundwater discharge in the vicinity of Long Lake, Indiana Dunes National Lakeshore, near Gary, Indiana"},{"id":349458,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7D21VS2","text":"USGS data release","description":"USGS data release","linkHelpText":"2017 - MODFLOW-NWT model used to evaluate potential effects of alterations to the hydrologic system in the vicinity of Long Lake, Indiana Dunes National Lakeshore, near Gary, Indiana"},{"id":269068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135003.jpg"},{"id":269066,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5003/"},{"id":269067,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5003/pdf/SIR2013-5003.pdf","text":"Report","size":"11.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2013-5003"}],"country":"United States","state":"Indiana","city":"Gary","otherGeospatial":"Indiana Dunes National Lakeshore","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.1,37.8 ], [ -88.1,41.8 ], [ -84.8,41.8 ], [ -84.8,37.8 ], [ -88.1,37.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513eeee0e4b0dcc733969347","contributors":{"authors":[{"text":"Lampe, David C. 0000-0002-8904-0337 dclampe@usgs.gov","orcid":"https://orcid.org/0000-0002-8904-0337","contributorId":2441,"corporation":false,"usgs":true,"family":"Lampe","given":"David","email":"dclampe@usgs.gov","middleInitial":"C.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bayless, E. Randall 0000-0002-0357-3635 ebayless@usgs.gov","orcid":"https://orcid.org/0000-0002-0357-3635","contributorId":1518,"corporation":false,"usgs":true,"family":"Bayless","given":"E.","email":"ebayless@usgs.gov","middleInitial":"Randall","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":475799,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044533,"text":"cir13801 - 2013 - The United States-Mexican Border - A land of conflict and opportunity: Chapter 1 in United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","interactions":[{"subject":{"id":70044533,"text":"cir13801 - 2013 - The United States-Mexican Border - A land of conflict and opportunity: Chapter 1 in United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir13801","publicationYear":"2013","noYear":false,"chapter":"1","title":"The United States-Mexican Border - A land of conflict and opportunity: Chapter 1 in United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"predicate":"IS_PART_OF","object":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"id":1}],"isPartOf":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"lastModifiedDate":"2017-01-26T15:04:49","indexId":"cir13801","displayToPublicDate":"2013-03-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1380","chapter":"1","title":"The United States-Mexican Border - A land of conflict and opportunity: Chapter 1 in United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","docAbstract":"The boundary between the United States and Mexico was created for convenient expediency through political debate and agreements (fig. 1–1). With the exception of the eastern segment of the border, which follows the course of the Rio Grande (known as the Rio Bravo in Mexico), the defining of this border was based on political decisions that had little concern for ecosystems, geologic features, or water—all of which span that imaginary line. However, the location of the border has had a remarkable effect on the biologic and physical systems in the border region and, in turn, has had a growing influence on what we now see as 21st century socioeconomic and environmental priorities. Because of the complex interactions of the human, ecological, political, and economic exigencies associated with this area, the status of the United States–Mexican border region, known as the Borderlands, has become an ever-present concern for most American citizens and for Mexican and United States Federal, State, and local governments.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science (Circular 1380)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13801","usgsCitation":"Updike, R.G., 2013, The United States-Mexican Border - A land of conflict and opportunity: Chapter 1 in United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science: U.S. Geological Survey Circular 1380, 13 p., https://doi.org/10.3133/cir13801.","productDescription":"13 p.","startPage":"1","endPage":"13","numberOfPages":"13","costCenters":[{"id":572,"text":"Southwest Region","active":false,"usgs":true}],"links":[{"id":269105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir13801.gif"},{"id":269104,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1380/"},{"id":269103,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1380/downloads/Chapter1.pdf"}],"country":"Mexico, United States","otherGeospatial":"United States-Mexico Borderlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.646484375,\n 24.246964554300924\n ],\n [\n -96.6796875,\n 25.918526162075153\n ],\n [\n -97.0751953125,\n 27.254629577800063\n ],\n [\n -98.4375,\n 29.49698759653577\n ],\n [\n -99.931640625,\n 30.713503990354965\n ],\n [\n -103.22753906249999,\n 31.015278981711266\n ],\n [\n -104.853515625,\n 32.65787573695528\n ],\n [\n -106.34765625,\n 33.17434155100208\n ],\n [\n -108.5009765625,\n 33.17434155100208\n ],\n [\n -110.302734375,\n 32.95336814579932\n ],\n [\n -112.939453125,\n 33.54139466898275\n ],\n [\n -114.43359375,\n 33.8339199536547\n ],\n [\n -117.158203125,\n 33.54139466898275\n ],\n [\n -117.8173828125,\n 33.17434155100208\n ],\n [\n -117.20214843749999,\n 31.690781806136822\n ],\n [\n -114.9169921875,\n 31.50362930577303\n ],\n [\n -110.8740234375,\n 30.06909396443887\n ],\n [\n -108.2373046875,\n 30.14512718337613\n ],\n [\n -105.16113281249999,\n 28.22697003891834\n ],\n [\n -103.71093749999999,\n 27.488781168937997\n ],\n [\n -101.90917968749999,\n 27.68352808378776\n ],\n [\n -99.36035156249999,\n 25.363882272740256\n ],\n [\n -98.3056640625,\n 24.686952411999155\n ],\n [\n -97.646484375,\n 24.246964554300924\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513eeee3e4b0dcc733969357","contributors":{"authors":[{"text":"Updike, Randall G. updike@usgs.gov","contributorId":334,"corporation":false,"usgs":true,"family":"Updike","given":"Randall","email":"updike@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":475829,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044460,"text":"ds688 - 2013 - Groundwater-quality data in the Cascade Range and Modoc Plateau study unit, 2010-Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2013-03-07T08:44:55","indexId":"ds688","displayToPublicDate":"2013-03-07T00:00:00","publicationYear":"2013","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":"688","title":"Groundwater-quality data in the Cascade Range and Modoc Plateau study unit, 2010-Results from the California GAMA Program","docAbstract":"Groundwater quality in the 39,000-square-kilometer Cascade Range and Modoc Plateau (CAMP) study unit was investigated by the U.S. Geological Survey (USGS) from July through October 2010, as part of the California State Water Resources Control Board (SWRCB) Groundwater Ambient Monitoring and Assessment (GAMA) Program’s Priority Basin Project (PBP). The GAMA PBP was developed in response to the California Groundwater Quality Monitoring Act of 2001 and is being conducted in collaboration with the SWRCB and Lawrence Livermore National Laboratory (LLNL). The CAMP study unit is the thirty-second study unit to be sampled as part of the GAMA PBP. The GAMA CAMP study was designed to provide a spatially unbiased assessment of untreated-groundwater quality in the primary aquifer system and to facilitate statistically consistent comparisons of untreated-groundwater quality throughout California. The primary aquifer system is defined as that part of the aquifer corresponding to the open or screened intervals of wells listed in the California Department of Public Health (CDPH) database for the CAMP study unit. The quality of groundwater in shallow or deep water-bearing zones may differ from the quality of groundwater in the primary aquifer system; shallow groundwater may be more vulnerable to surficial contamination. In the CAMP study unit, groundwater samples were collected from 90 wells and springs in 6 study areas (Sacramento Valley Eastside, Honey Lake Valley, Cascade Range and Modoc Plateau Low Use Basins, Shasta Valley and Mount Shasta Volcanic Area, Quaternary Volcanic Areas, and Tertiary Volcanic Areas) in Butte, Lassen, Modoc, Plumas, Shasta, Siskiyou, and Tehama Counties. Wells and springs were selected by using a spatially distributed, randomized grid-based method to provide statistical representation of the study unit (grid wells). Groundwater samples were analyzed for field water-quality indicators, organic constituents, perchlorate, inorganic constituents, radioactive constituents, and microbial indicators. Naturally occurring isotopes and dissolved noble gases also were measured to provide a dataset that will be used to help interpret the sources and ages of the sampled groundwater in subsequent reports. In total, 221 constituents were investigated for this study. Three types of quality-control samples (blanks, replicates, and matrix spikes) were collected at approximately 10 percent of the wells in the CAMP study unit, and the results for these samples were used to evaluate the quality of the data for the groundwater samples. Blanks rarely contained detectable concentrations of any constituent, suggesting that contamination from sample collection procedures was not a significant source of bias in the data for the groundwater samples. Replicate samples generally were within the limits of acceptable analytical reproducibility. Matrix-spike recoveries were within the acceptable range (70 to 130 percent) for approximately 90 percent of the compounds. This study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, untreated groundwater typically is treated, disinfected, and (or) blended with other waters to maintain water quality. Regulatory benchmarks apply to water that is served to the consumer, not to untreated groundwater. However, to provide some context for the results, concentrations of constituents measured in the untreated groundwater were compared with regulatory and non-regulatory health-based benchmarks established by the U.S. Environmental Protection Agency (USEPA) and CDPH, and to non-regulatory benchmarks established for aesthetic concerns by CDPH. Comparisons between data collected for this study and benchmarks for drinking water are for illustrative purposes only and are not indicative of compliance or non-compliance with those benchmarks. All organic constituents and most inorganic constituents that were detected in groundwater samples from the 90 grid wells in the CAMP study unit were detected at concentrations less than drinking-water benchmarks. Of the 148 organic constituents analyzed, 27 were detected in groundwater samples; concentrations of all detected constituents were less than regulatory and nonregulatory health-based benchmarks, and all were less than 1/10 of benchmark levels. One or more organic constituents were detected in 52 percent of the grid wells in the CAMP study unit: VOCs were detected in 30 percent, and pesticides and pesticide degradates were detected in 31 percent. Trace elements, major ions, nutrients, and radioactive constituents were sampled for at 90 grid wells in the CAMP study unit, and most detected concentrations were less than health-based benchmarks. Exceptions include three detections of arsenic greater than the USEPA maximum contaminant level (MCL-US) of 10 micrograms per liter (µg/L), two detections of boron greater than the CDPH notification level (NL-CA) of 1,000 µg/L, two detections of molybdenum greater than the USEPA lifetime health advisory level (HAL-US) of 40 µg/L, two detections of vanadium greater than the CDPH notification level (NL-CA) of 50 µg/L, one detection of nitrate, as nitrogen, greater than the MCL-US of 10 milligrams per liter (mg/L), two detections of uranium greater than the MCL-US of 30 µg/L and the MCL-CA of 20 picocuries per liter (pCi/L), one detection of radon-222 greater than the proposed MCL-US of 4,000 pCi/L, and two detections of gross alpha particle activity greater than the MCL-US of 15 pCi/L. Results for inorganic constituents with non-regulatory benchmarks set for aesthetic concerns showed that iron concentrations greater than the CDPH secondary maximum contaminant level (SMCL-CA) of 300 µg/L were detected in four grid wells. Manganese concentrations greater than the SMCL-CA of 50 µg/L were detected in nine grid wells. Chloride and TDS were detected at concentrations greater than the upper SMCL-CA benchmarks of 500 mg/L and 1,000 mg/L, respectively, in one grid well. Microbial indicators (total coliform and Escherichia coli [E. coli]) were detected in 11 percent of the 83 grid wells sampled for these analyses in the CAMP study unit. The presence of total coliform was detected in nine grid wells, and the presence of E. coli was detected in one of these same grid wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds688","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Shelton, J.L., Fram, M.S., and Belitz, K., 2013, Groundwater-quality data in the Cascade Range and Modoc Plateau study unit, 2010-Results from the California GAMA Program: U.S. Geological Survey Data Series 688, x, 126 p., https://doi.org/10.3133/ds688.","productDescription":"x, 126 p.","numberOfPages":"138","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":268879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds688.jpg"},{"id":268877,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/688/"},{"id":268878,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/688/pdf/ds688.pdf"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum of 1983","country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,8.333333333333334E-4 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01611111111111111,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5139b6eee4b09608cc166b0b","contributors":{"authors":[{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":475660,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044461,"text":"b1995CC - 2013 - Characterization of the Hosgri Fault Zone and adjacent structures in the offshore Santa Maria Basin, south-central California","interactions":[{"subject":{"id":70044461,"text":"b1995CC - 2013 - Characterization of the Hosgri Fault Zone and adjacent structures in the offshore Santa Maria Basin, south-central California","indexId":"b1995CC","publicationYear":"2013","noYear":false,"chapter":"CC","title":"Characterization of the Hosgri Fault Zone and adjacent structures in the offshore Santa Maria Basin, south-central California"},"predicate":"IS_PART_OF","object":{"id":33200,"text":"b1995 - 1991 - Evolution of sedimentary basins/onshore oil and gas investigations: Santa Maria Province","indexId":"b1995","publicationYear":"1991","noYear":false,"title":"Evolution of sedimentary basins/onshore oil and gas investigations: Santa Maria Province"},"id":1}],"isPartOf":{"id":33200,"text":"b1995 - 1991 - Evolution of sedimentary basins/onshore oil and gas investigations: Santa Maria Province","indexId":"b1995","publicationYear":"1991","noYear":false,"title":"Evolution of sedimentary basins/onshore oil and gas investigations: Santa Maria Province"},"lastModifiedDate":"2021-08-30T18:41:17.50507","indexId":"b1995CC","displayToPublicDate":"2013-03-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":306,"text":"Bulletin","code":"B","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1995","chapter":"CC","title":"Characterization of the Hosgri Fault Zone and adjacent structures in the offshore Santa Maria Basin, south-central California","docAbstract":"The Hosgri Fault Zone trends subparallel to the south-central California coast for 110 km from north of Point Estero to south of Purisima Point and forms the eastern margin of the present offshore Santa Maria Basin. Knowledge of the attributes of the Hosgri Fault Zone is important for petroleum development, seismic engineering, and environmental planning in the region. Because it lies offshore along its entire reach, our characterizations of the Hosgri Fault Zone and adjacent structures are primarily based on the analysis of over 10,000 km of common-depth-point marine seismic reflection data collected from a 5,000-km2 area of the central and eastern parts of the offshore Santa Maria Basin. We describe and illustrate the along-strike and downdip geometry of the Hosgri Fault Zone over its entire length and provide examples of interpreted seismic reflection records and a map of the structural trends of the fault zone and adjacent structures in the eastern offshore Santa Maria Basin. The seismic data are integrated with offshore well and seafloor geologic data to describe the age and seismic appearance of offshore geologic units and marker horizons. We develop a basin-wide seismic velocity model for depth conversions and map three major unconformities along the eastern offshore Santa Maria Basin. Accompanying plates include maps that are also presented as figures in the report. Appendix A provides microfossil data from selected wells and appendix B includes uninterpreted copies of the annotated seismic record sections illustrated in the chapter. Features of the Hosgri Fault Zone documented in this investigation are suggestive of both lateral and reverse slip. Characteristics indicative of lateral slip include (1) the linear to curvilinear character of the mapped trace of the fault zone, (2) changes in structural trend along and across the fault zone that diminish in magnitude toward the ends of the fault zone, (3) localized compressional and extensional structures characteristic of constraining and releasing bends and stepovers, (4) changes in the sense and magnitude of vertical separation along strike within the fault zone, and (5) changes in downdip geometry between the major traces and segments of the fault zone. Characteristics indicative of reverse slip include (1) reverse fault geometries that occur across major strands of the fault zone and (2) fault-bend folds and localized thrust faults that occur along the northern and southern reaches of the fault. Analyses of high-resolution, subbottom profiler and side-scan sonar records indicate localized Holocene activity along most of the extent of the fault zone. Collectively, these features are the basis of our characterization of the Hosgri Fault Zone as an active, 110-km-long, convergent right-oblique slip (transpressional) fault with identified northern and southern terminations. This interpretation is consistent with recently published analyses of onshore geologic data, regional tectonic kinematic models, and instrumental seismicity.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Evolution of sedimentary basins/onshore oil and gas investigations: Santa Maria Province","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/b1995CC","usgsCitation":"Willingham, C.R., Rietman, J.D., Heck, R.G., and Lettis, W.R., 2013, Characterization of the Hosgri Fault Zone and adjacent structures in the offshore Santa Maria Basin, south-central California: U.S. Geological Survey Bulletin 1995, Report: ix, 106 p.; 7 Plates: 32 x 40 inches or smaller, https://doi.org/10.3133/b1995CC.","productDescription":"Report: ix, 106 p.; 7 Plates: 32 x 40 inches or smaller","numberOfPages":"116","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":379,"text":"Menlo Park Science Center","active":false,"usgs":true}],"links":[{"id":268893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/b1995CC.jpg"},{"id":268892,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate7.pdf"},{"id":268891,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate6.pdf"},{"id":268889,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate5.pdf"},{"id":268888,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate4.pdf"},{"id":268887,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate3.pdf"},{"id":268884,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/bul/1995/cc/"},{"id":268886,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate2.pdf"},{"id":268883,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc.pdf"},{"id":268885,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/bul/1995/cc/pdf/bul1995cc_plate1.pdf"}],"country":"United States","state":"California","otherGeospatial":"Hosgri Fault Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.10205078125,\n 34.252676117101515\n ],\n [\n -119.70703125,\n 34.252676117101515\n ],\n [\n -119.70703125,\n 36.70365959719456\n ],\n [\n -122.10205078125,\n 36.70365959719456\n ],\n [\n -122.10205078125,\n 34.252676117101515\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5139b6ece4b09608cc166b03","contributors":{"authors":[{"text":"Willingham, C. 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We have monitored surface deformation from Global Positioning System (GPS) data by using a projection method that we call Targeted Projection Operator (TPO). TPO projects residual time series with secular rates and periodic terms removed onto a predefined spatial pattern. We used the 2009–2010 slow deflation as a target spatial pattern. The resulting TPO time series shows a detailed deformation history including the 2007–2009 inflation, the 2009–2010 deflation, and a recent inflation that started in late-2011 and is continuing at the present time (November 2012). The recent inflation event is about four times faster than the previous 2007–2009 event. A Mogi source of the recent event is located beneath the resurgent dome at about 6.6 km depth at a rate of 0.009 km3/yr volume change. TPO is simple and fast and can provide a near real-time continuous monitoring tool without directly looking at all the data from many GPS sites in this potentially eruptive volcanic system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/grl.50258","usgsCitation":"Ji, K.H., Herring, T.A., and Llenos, A.L., 2013, Near real-time monitoring of volcanic surface deformation from GPS measurements at Long Valley Caldera, California: Geophysical Research Letters, v. 40, no. 6, p. 1054-1058, https://doi.org/10.1002/grl.50258.","productDescription":"5 p.","startPage":"1054","endPage":"1058","ipdsId":"IP-043901","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":273722,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/grl.50258"},{"id":273723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -11.150277777777777,3.1172222222222223 ], [ -11.150277777777777,8.333333333333334E-4 ], [ -11.13361111111111,8.333333333333334E-4 ], [ -11.13361111111111,3.1172222222222223 ], [ -11.150277777777777,3.1172222222222223 ] ] ] } } ] }","volume":"40","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-03-26","publicationStatus":"PW","scienceBaseUri":"51bc3b67e4b0c04034a01cb8","contributors":{"authors":[{"text":"Ji, Kang Hyeun","contributorId":94575,"corporation":false,"usgs":true,"family":"Ji","given":"Kang","email":"","middleInitial":"Hyeun","affiliations":[],"preferred":false,"id":476639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herring, Thomas A.","contributorId":42860,"corporation":false,"usgs":true,"family":"Herring","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":476637,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70154937,"text":"70154937 - 2013 - Short-term effects of small dam removal on freshwater mussel assemblage","interactions":[],"lastModifiedDate":"2020-12-29T14:54:44.96933","indexId":"70154937","displayToPublicDate":"2013-03-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3701,"text":"WALKERANA","active":true,"publicationSubtype":{"id":10}},"title":"Short-term effects of small dam removal on freshwater mussel assemblage","docAbstract":"

Dam removal is increasingly used to restore lotic habitat and biota, but its effects on freshwater mussels (family Unionidae) are not well known. We conducted a four-year study to assess short-term effects on mussels after removal of a small hydropower dam on the Deep River (Cape Fear River drainage), North Carolina, USA, in 2006. We conducted annual pre- and post-removal monitoring of mussel density, richness, and survival (post removal only) with transect surveys and quadrat excavation, and assessed changes in substrate composition at two impact sites (tailrace and impoundment) and two reference sites. Before-after-control-impact (BACI) analyses of variance did not detect a significant change in mussel density (total or individually for the three most abundant species), species richness, Eastern Elliptio (Elliptio complanata) mean length, or substrate composition in the tailrace or drained impoundment following dam removal. Apparent annual survival estimates of Eastern Elliptio at the tailrace site did not differ among sampling periods and were similar to control sites. We observed minimal mussel mortality from stranding in the dewatered reservoir. These results demonstrate that adverse short-term impacts of dam removal on downstream mussel assemblages can be minimized with appropriate planning, timing, and removal techniques, but additional monitoring is warranted to determine long-term effects on mussels within the restored river reach.

","language":"English","publisher":"Freshwater Mollusk Conservation Society","doi":"10.31931/fmbc.v16i1.2013.41-52","usgsCitation":"Heise, R.J., Cope, W., Kwak, T.J., and Eads, C.B., 2013, Short-term effects of small dam removal on freshwater mussel assemblage: WALKERANA, v. 16, no. 1, p. 41-52, https://doi.org/10.31931/fmbc.v16i1.2013.41-52.","productDescription":"10 p.","startPage":"41","endPage":"52","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-06-01","temporalEnd":"2008-06-30","ipdsId":"IP-038738","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473937,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc.v16i1.2013.41-52","text":"Publisher Index Page"},{"id":381722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Deep River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.2282485961914,\n 35.58250105910778\n ],\n [\n -79.2282485961914,\n 35.65618041632016\n ],\n [\n -79.06036376953125,\n 35.65618041632016\n ],\n [\n -79.06036376953125,\n 35.58250105910778\n ],\n [\n -79.2282485961914,\n 35.58250105910778\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d5a8b3e4b0518e3546a4e0","contributors":{"authors":[{"text":"Heise, Ryan J.","contributorId":145789,"corporation":false,"usgs":false,"family":"Heise","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":16149,"text":"North Carolina Wildlife Resources Commission, 1003 Consolidated Rd., Elizabeth City, NC 27909","active":true,"usgs":false}],"preferred":false,"id":565306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cope, W. Gregory","contributorId":70353,"corporation":false,"usgs":true,"family":"Cope","given":"W. Gregory","affiliations":[],"preferred":false,"id":565307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eads, Chris B.","contributorId":145790,"corporation":false,"usgs":false,"family":"Eads","given":"Chris","email":"","middleInitial":"B.","affiliations":[{"id":35730,"text":"North Carolina State College of Veterinary Medicine","active":true,"usgs":false}],"preferred":false,"id":565308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179674,"text":"70179674 - 2013 - Upper crustal structure of Alabama from regional magnetic and gravity data: Using geology to interpret geophysics, and vice versa","interactions":[],"lastModifiedDate":"2017-01-11T08:58:18","indexId":"70179674","displayToPublicDate":"2013-02-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Upper crustal structure of Alabama from regional magnetic and gravity data: Using geology to interpret geophysics, and vice versa","docAbstract":"

Aeromagnetic and gravity data sets obtained for Alabama (United States) have been digitally merged and filtered to enhance upper-crustal anomalies. Beneath the Appalachian Basin in northwestern Alabama, broad deep-crustal anomalies of the continental interior include the Grenville front and New York–Alabama lineament (dextral fault). Toward the east and south, high-angle discordance between the northeast-trending Appalachians and the east-west–trending wedge of overlapping Mesozoic and Cenozoic Gulf Coastal Plain sediments reveals how bedrock geophysical signatures progressively change with deeper burial. High-frequency magnetic anomalies in the Appalachian deformed domain (ADD) correspond to amphibolites and mylonites outlining terranes, while broader, lower-amplitude domains include Paleozoic intrusive bodies and Grenville basement gneiss. Fundamental ADD structures (e.g., the Alexander City, Towaliga, and Goat Rock–Bartletts Ferry faults) can be traced southward beneath the Gulf Coastal Plain to the suture with Gondwanan crust of the Suwannee terrane. Within the ADD, there is clear magnetic distinction between Laurentian crust and the strongly linear, high-frequency magnetic highs of peri-Gondwanan (Carolina-Uchee) arc terranes. The contact (Central Piedmont suture) corresponds to surface exposures of the Bartletts Ferry fault. ADD magnetic and gravity signatures are truncated by the east-west–trending Altamaha magnetic low associated with the Suwannee suture. Arcuate northeast-trending magnetic linears of the Suwannee terrane reflect internal structure and Mesozoic failed-rift trends. Geophysical data can be used to make inferences on surface and subsurface geology and vice versa, which has applicability anywhere that bedrock is exposed or concealed beneath essentially non-magnetic sedimentary cover.

","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES00703.1","usgsCitation":"Steltenpohl, M.G., Horton, J.W., Hatcher, R., Zietz, I., Daniels, D.L., and Higgins, M.W., 2013, Upper crustal structure of Alabama from regional magnetic and gravity data: Using geology to interpret geophysics, and vice versa: Geosphere, v. 9, no. 4, p. 1044-1064, https://doi.org/10.1130/GES00703.1.","productDescription":"21 p.","startPage":"1044","endPage":"1064","ipdsId":"IP-026836","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":473941,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00703.1","text":"Publisher Index Page"},{"id":333036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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The sources of the tremendous amount of Cenozoic siliciclastic sediment deposited in the Gulf of Mexico region remain debated because of a lack of definitive provenance-identifying characteristics. In an effort to build on prior provenance analysis, we present 101–160 single-grain detrital zircon U-Pb ages for each of 10 outcrop samples from Upper Paleocene to Upper Miocene sandstones from a ∼10,000 km2 swath of central Louisiana corresponding to the ancient Mississippi River Delta, the largest Cenozoic depocenter in the northern Gulf of Mexico region. Sample depositional age control is derived from biostratigraphy and/or regional lithostratigraphic correlation. U-Pb ages in each of the samples range from Cenozoic to Archean, and correspond to the ages of various geologic terranes that underlie the modern Mississippi River drainage basin. However, the prominence of various age distributions changes systematically through the Cenozoic stratigraphy, and pronounced shifts in the abundance of certain age distributions between stratal packages appear to be correlated to shifts in heavy mineral assemblages recorded across the northern Gulf of Mexico coastal plain. Comparison of coastal plain detrital zircon age distributions to age distributions from North American sedimentary cover and the ages of major North American crystalline basement rocks, aided by a sediment mixing model, illuminates the provenance of each of the stratal packages, and suggests that (1) the Mississippi River catchment has resembled its present configuration, at least in the east-west dimension, for much, if not all, of the Cenozoic, and (2) depositional episodes on the Louisiana coastal plain characterized by high sediment supply also corresponded to high proportions of sediment sourcing from the Sevier-Laramide region of the interior western United States. Sediment supply to the Louisiana coastal plain by the paleo–Mississippi River has generally been high during the Cenozoic, except for an anomalous low during the Middle Eocene, when the abundance of sediment derived from the Rocky Mountain region decreased dramatically relative to sediment derived from the Appalachian region.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00917.1","usgsCitation":"Craddock, W.H., and Kylander-Clark, A.R., 2013, U-Pb ages of detrital zircons from the Tertiary Mississippi River delta plain in central Louisiana: Insights into sediment provenance: Geosphere, v. 9, no. 6, p. 1832-1851, https://doi.org/10.1130/GES00917.1.","productDescription":"20 p.","startPage":"1832","endPage":"1851","ipdsId":"IP-044256","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":473942,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00917.1","text":"Publisher Index Page"},{"id":361097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi River Delta ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.966667,\n 29.516667\n ],\n [\n -89.966667,\n 29.408333\n ],\n [\n -89.816667,\n 29.408333\n ],\n [\n -89.816667,\n 29.516667\n ],\n [\n -89.966667,\n 29.516667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Craddock, William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":756813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kylander-Clark, Andrew R. C.","contributorId":212897,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","email":"","middleInitial":"R. C.","affiliations":[],"preferred":false,"id":756814,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188865,"text":"70188865 - 2013 - Correlation of geothermal springs with sub-surface fault terminations revealed by high-resolution, UAV-acquired magnetic data","interactions":[],"lastModifiedDate":"2017-06-27T14:49:17","indexId":"70188865","displayToPublicDate":"2013-02-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":" Correlation of geothermal springs with sub-surface fault terminations revealed by high-resolution, UAV-acquired magnetic data","docAbstract":"

There is widespread agreement that geothermal springs in extensional geothermal systems are concentrated at fault tips and in fault interaction zones where porosity and permeability are dynamically maintained (Curewitz and Karson, 1997; Faulds et al., 2010). Making these spatial correlations typically involves geological and geophysical studies in order to map structures and their relationship to springs at the surface. Geophysical studies include gravity and magnetic surveys, which are useful for identifying buried, intra-basin structures, especially in areas where highly magnetic, dense mafic volcanic rocks are interbedded with, and faulted against less magnetic, less dense sedimentary rock. High-resolution magnetic data can also be collected from the air in order to provide continuous coverage. Unmanned aerial systems (UAS) are well-suited for conducting these surveys as they can provide uniform, low-altitude, high-resolution coverage of an area without endangering crew. In addition, they are more easily adaptable to changes in flight plans as data are collected, and improve efficiency. We have developed and tested a new system to collect magnetic data using small-platform UAS. We deployed this new system in Surprise Valley, CA, in September, 2012, on NASA's SIERRA UAS to perform a reconnaissance survey of the entire valley as well as detailed surveys in key transition zones. This survey has enabled us to trace magnetic anomalies seen in ground-based profiles along their length. Most prominent of these is an intra-basin magnetic high that we interpret as a buried, faulted mafic dike that runs a significant length of the valley. Though this feature lacks surface expression, it appears to control the location of geothermal springs. All of the major hot springs on the east side of the valley lie along the edge of the high, and more specifically, at structural transitions where the high undergoes steps, bends, or breaks. The close relationship between the springs and structure terminations revealed by this study is unprecedented. Collecting magnetic data via UAS represents a new capability in geothermal exploration of remote and dangerous areas that significantly enhances our ability to map the subsurface.

","largerWorkTitle":"Proceedings Thirty-eighth Workshop on Geothermal Reservoir Engineering","conferenceTitle":"Thirty-Eighth Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 11-13, 2013","conferenceLocation":"Stanford University, Stanford, California","language":"English","usgsCitation":"Glen, J.M., A.E. Egger, C. Ippolito, and , N., 2013, Correlation of geothermal springs with sub-surface fault terminations revealed by high-resolution, UAV-acquired magnetic data, in Proceedings Thirty-eighth Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, California, February 11-13, 2013, 8 p. .","productDescription":"8 p. ","ipdsId":"IP-044179","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":343009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343008,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.cwu.edu/geological_sciences/2/"}],"country":"United States","state":"California","county":"Modoc County ","otherGeospatial":"Surprise Valley ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.10528564453125,\n 41.92271616673922\n ],\n [\n -120.14648437499999,\n 41.864447405239375\n ],\n [\n -120.18356323242188,\n 41.78769700539063\n ],\n [\n -120.20278930664062,\n 41.70982942509964\n ],\n [\n -120.21514892578125,\n 41.66162721430806\n ],\n [\n -120.19454956054686,\n 41.59182393372352\n ],\n [\n -120.17807006835936,\n 41.549700145132725\n ],\n [\n -120.18905639648438,\n 41.49932105451145\n ],\n [\n -120.1519775390625,\n 41.43860847395721\n ],\n [\n -120.12451171875,\n 41.35104125623227\n ],\n [\n -120.10253906249999,\n 41.29122180718259\n ],\n [\n -120.03799438476561,\n 41.1724519493126\n ],\n [\n -120.00503540039061,\n 41.176586696571015\n ],\n [\n -120.0146484375,\n 41.27058168052551\n ],\n [\n -120.01190185546875,\n 41.307729208348015\n ],\n [\n -120.01327514648438,\n 41.38608229923676\n ],\n [\n -120.00778198242186,\n 41.54764462357737\n ],\n [\n -120.02975463867188,\n 41.790768787851285\n ],\n [\n -120.00228881835938,\n 41.92782492551717\n ],\n [\n -120.02014160156249,\n 41.96051129429777\n ],\n [\n -120.10528564453125,\n 41.92271616673922\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eaee4b062508e3c7ab5","contributors":{"authors":[{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"A.E. Egger","contributorId":193534,"corporation":false,"usgs":false,"family":"A.E. Egger","affiliations":[],"preferred":false,"id":700742,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"C. Ippolito","contributorId":193535,"corporation":false,"usgs":false,"family":"C. Ippolito","affiliations":[],"preferred":false,"id":700743,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":" N.Athens","contributorId":193536,"corporation":false,"usgs":false,"given":"N.Athens","email":"","affiliations":[],"preferred":false,"id":700744,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70188512,"text":"70188512 - 2013 - Where fast weathering creates thin regolith and slow weathering creates thick regolith","interactions":[],"lastModifiedDate":"2017-06-14T13:47:53","indexId":"70188512","displayToPublicDate":"2013-02-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Where fast weathering creates thin regolith and slow weathering creates thick regolith","docAbstract":"

Weathering disaggregates rock into regolith – the fractured or granular earth material that sustains life on the continental land surface. Here, we investigate what controls the depth of regolith formed on ridges of two rock compositions with similar initial porosities in Virginia (USA). A priori, we predicted that the regolith on diabase would be thicker than on granite because the dominant mineral (feldspar) in the diabase weathers faster than its granitic counterpart. However, weathering advanced 20\u0001 deeper into the granite than the diabase. The 20 \u0001 -thicker regolith is attributed mainly to connected micron-sized pores, microfractures formed around oxidizing biotite at 20 m depth, and the lower iron (Fe) content in the felsic rock. Such porosity allows pervasive advection and deep oxidation in the granite. These observations may explain why regolith worldwide is thicker on felsic compared to mafic rock under similar conditions. To understand regolith formation will require better understanding of such deep oxidation reactions and how they impact fluid flow during weathering.

","language":"English","publisher":"Wiley Online ","doi":"10.1002/esp.3369","usgsCitation":"Bazilevskaya, E., Lebedeva, M., Pavich, M.J., Brantley, S.L., Rother, G., Parkinson, D.Y., and Cole, D., 2013, Where fast weathering creates thin regolith and slow weathering creates thick regolith: Earth Surface Processes and Landforms, p. 847-858, https://doi.org/10.1002/esp.3369.","productDescription":"12 p. 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Center","active":true,"usgs":true}],"preferred":true,"id":698102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brantley, Susan L. 0000-0003-4320-2342","orcid":"https://orcid.org/0000-0003-4320-2342","contributorId":184201,"corporation":false,"usgs":false,"family":"Brantley","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":698193,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rother, Gernot","contributorId":192903,"corporation":false,"usgs":false,"family":"Rother","given":"Gernot","email":"","affiliations":[],"preferred":false,"id":698107,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Parkinson, Dilworth Y.","contributorId":192902,"corporation":false,"usgs":false,"family":"Parkinson","given":"Dilworth","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":698106,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Cole, David","contributorId":172909,"corporation":false,"usgs":false,"family":"Cole","given":"David","affiliations":[],"preferred":false,"id":698104,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70043737,"text":"sir20125258 - 2013 - Effects of recent climate variability on groundwater levels in eastern Arkansas","interactions":[],"lastModifiedDate":"2013-02-19T13:28:51","indexId":"sir20125258","displayToPublicDate":"2013-02-19T00:00:00","publicationYear":"2013","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":"2012-5258","title":"Effects of recent climate variability on groundwater levels in eastern Arkansas","docAbstract":"Water-level fluctuations in wells completed in the Mississippi River Valley alluvial aquifer in eastern Arkansas were compared to variability in annual precipitation, an indicator of climate variability. The wettest year on record in Little Rock, Arkansas, occurred in 2009 with 81.79 inches of precipitation compared to an average of 47.1 inches per year. In contrast, 2005 and 2010 were the 7th and 14th driest years on record with 34.55 and 36.52 inches per year, respectively. This variability in precipitation was reflected in water-level altitude changes between 2004 and 2008 and 2006 and 2010. Generally, drier conditions between 2004 and 2008 led to an average decline in water levels of 1.62 feet, whereas wetter conditions between 2006 and 2010 led to an average rise in water levels of 1.36 feet. Drier periods likely resulted in less recharge compared to wetter periods. Groundwater use from the alluvial aquifer peaked in 2000 and has since declined, in part, because of conservation measures and substantial reduction in aquifer saturated thickness. Groundwater-flow model results showed some areas of the alluvial aquifer simulated as dry in 2010, indicating a reduced capacity of the alluvial aquifer to produce water in those areas. Additional factors affecting groundwater use include the types of crops grown in an area and the availabitiliy of crop subsidies. Real-time continuous water-level measurements in wells allow for a more accurate assessment of the effect of variability in precipitation and water use than periodic water-level measurements.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125258","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission","usgsCitation":"Czarnecki, J.B., and Schrader, T., 2013, Effects of recent climate variability on groundwater levels in eastern Arkansas: U.S. Geological Survey Scientific Investigations Report 2012-5258, iv, 17 p., https://doi.org/10.3133/sir20125258.","productDescription":"iv, 17 p.","startPage":"i","endPage":"17","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":267725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5258.gif"},{"id":267724,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5258/sir2012-5258.pdf"},{"id":267723,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5258/"}],"country":"United States","state":"Arkansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.62,33.0 ], [ -94.62,36.5 ], [ -89.64,36.5 ], [ -89.64,33.0 ], [ -94.62,33.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51249f02e4b0b6328103b30f","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":474187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schrader, T.P.","contributorId":56300,"corporation":false,"usgs":true,"family":"Schrader","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":474188,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043743,"text":"fs20123135 - 2013 - Drought and deluge: Effects of recent climate variability on groundwater levels in eastern Arkansas","interactions":[],"lastModifiedDate":"2013-02-19T13:49:45","indexId":"fs20123135","displayToPublicDate":"2013-02-19T00:00:00","publicationYear":"2013","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":"2012-3135","title":"Drought and deluge: Effects of recent climate variability on groundwater levels in eastern Arkansas","docAbstract":"Arkansas experienced wide extremes in climate variability during the period of 2005 to 2010, recording the largest annual precipitation ever recorded in the State (100.05 inches) in 2009. Many weather stations across the State reported between 80 to 90 inches of rainfall in 2009. For comparison, the average annual precipitation in Little Rock, Arkansas, for the period 1878 to 2010 was 47.1 inches. In contrast, 2005 and 2010 were the 7th and 14th driest years on record in Little Rock with 34.55 and 36.52 inches, respectively; both tied as the hottest years ever recorded in Arkansas. The wettest year on record in Little Rock (2009) was interspersed within these dry years, with a total of 81.79 inches. Fifteen weather stations within the State ranked 2009 as the wettest year on record. Extremes in annual precipitation rates may lead to greater variability in groundwater recharge rates and water use, particularly in the agricultural areas in eastern Arkansas that rely heavily on groundwater produced from the Mississippi River Valley alluvial aquifer (hereafter referred to as the alluvial aquifer). How does this variability affect the groundwater system and water use therein? Are the effects of this variability discernable in measured water levels in wells? Czarnecki and Schrader examined these questions and provided some insights, the results of which are presented here.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123135","usgsCitation":"Czarnecki, J.B., and Schrader, T., 2013, Drought and deluge: Effects of recent climate variability on groundwater levels in eastern Arkansas: U.S. Geological Survey Fact Sheet 2012-3135, 6 p., https://doi.org/10.3133/fs20123135.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":267732,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3135/fs2012-3135.pdf"},{"id":267733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3135.gif"},{"id":267731,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3135/"}],"scale":"100000","country":"United States","state":"Arkansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93,8.333333333333334E-4 ], [ -93,8.333333333333334E-4 ], [ -89,8.333333333333334E-4 ], [ -89,8.333333333333334E-4 ], [ -93,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51249edfe4b0b6328103b30b","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":474193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schrader, T.P.","contributorId":56300,"corporation":false,"usgs":true,"family":"Schrader","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":474194,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043341,"text":"sir20125288 - 2013 - Aquatic assessment of the Pike Hill Copper Mine Superfund site, Corinth, Vermont","interactions":[],"lastModifiedDate":"2013-02-12T11:35:21","indexId":"sir20125288","displayToPublicDate":"2013-02-12T00:00:00","publicationYear":"2013","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":"2012-5288","title":"Aquatic assessment of the Pike Hill Copper Mine Superfund site, Corinth, Vermont","docAbstract":"The Pike Hill Copper Mine Superfund site in Corinth, Orange County, Vermont, includes the Eureka, Union, and Smith mines along with areas of downstream aquatic ecosystem impairment. The site was placed on the U.S. Environmental Protection Agency (USEPA) National Priorities List in 2004. The mines, which operated from about 1847 to 1919, contain underground workings, foundations from historical structures, several waste-rock piles, and some flotation tailings. The mine site is drained to the northeast by Pike Hill Brook, which includes several wetland areas, and to the southeast by an unnamed tributary that flows to the south and enters Cookville Brook. Both brooks eventually drain into the Waits River, which flows into the Connecticut River. The aquatic ecosystem at the site was assessed using a variety of approaches that investigated surface-water quality, sediment quality, and various ecological indicators of stream-ecosystem health. The degradation of surface-water quality is caused by elevated concentrations of copper, and to a lesser extent cadmium, with localized effects caused by aluminum, iron, and zinc. Copper concentrations in surface waters reached or exceeded the USEPA national recommended chronic water-quality criteria for the protection of aquatic life in all of the Pike Hill Brook sampling locations except for the location farthest downstream, in half of the locations sampled in the tributary to Cookville Brook, and in about half of the locations in one wetland area located in Pike Hill Brook. Most of these same locations also contained concentrations of cadmium that exceeded the chronic water-quality criteria. In contrast, surface waters at background sampling locations were below these criteria for copper and cadmium. Comparison of hardness-based and Biotic Ligand Model (BLM)-based criteria for copper yields similar results with respect to the extent or number of stations impaired for surface waters in the affected area. However, the BLM-based criteria are commonly lower values than the hardness-based criteria and thus suggest a greater degree or magnitude of impairment at the sampling locations. The riffle-habitat benthic invertebrate richness and abundance data correlate strongly with the extent of impact based on water quality for both brooks. Similarly, the fish community assessments document degraded conditions throughout most of Pike Hill Brook, whereas the data for the tributary to Cookville Brook suggest less degradation to this brook. The sediment environment shows similar extents of impairment to the surface-water environment, with most sampling locations in Pike Hill Brook, including the wetland areas, and the tributary to Cookville Brook affected. Sediment impairment is caused by elevated copper concentrations, although localized degradation due to elevated cadmium and zinc concentrations was documented on the basis of exceedances of probable effects concentrations (PECs). In contrast to impairment determined by exceedances of PECs, equilibrium-partitioning sediment benchmarks (based on simultaneously extracted metals, acid volatile sulfides, and total organic carbon) predict no toxic effects in sediments at the background locations and uncertain toxic effects throughout Pike Hill Brook and the tributary to Cookville Brook, with the exception of the most downstream Cookville Brook location, which indicated no toxic effects. Acute laboratory toxicity testing using the amphipod Hyalella azteca and the midge Chironomus dilutus on pore waters extracted from sediment in situ indicate impairment (based on tests with H. azteca) at only one location in Pike Hill Brook and no impairment in the tributary to Cookville Brook. Chronic laboratory sediment toxicity testing using H. azteca and C. dilutus indicated toxicity in Pike Hill Brook at several locations in the lower reach and two locations in the tributary to Cookville Brook. Toxicity was not indicated for either species in sediment from the most acidic metal-rich location, likely due to the low lability of copper in that sediment, as indicated by a low proportion of extractable copper (simultaneously extracted metal (SEM) copper only 5 percent of total copper) and due to the flushing of acidic metal-rich pore water from experimental chambers as overlying test water was introduced before and replaced periodically during the toxicity tests. Depositional habitat invertebrate richness and abundance data generally agreed with the results of toxicity tests and with the extent of impact in the watersheds on the basis of sediment and pore waters. The information was used to develop an overall assessment of the impact of mine drainage on the aquatic system downstream from the Pike Hill copper mines. Most of Pike Hill Brook, including several wetland areas that are all downstream from the Eureka and Union mines, was found to be impaired on the basis of water-quality data and biological assessments of fish or benthic invertebrate communities. In contrast, only one location in the tributary to Cookville Brook, downstream from the Smith mine, is definitively impaired. The biological community begins to recover at the most downstream locations in both brooks due to natural attenuation from mixing with unimpaired streams. On the basis of water quality and biological assessment, the reference locations were of good quality. The sediment toxicity, chemistry, and aquatic community survey data suggest that the sediments could be a source of toxicity in Pike Hill Brook and the tributary to Cookville Brook. On the basis of water quality, sediment quality, and biologic communities, the impacts of mine drainage on the aquatic ecosystem health of the watersheds in the study area are generally consistent with the toxicity suggested from laboratory toxicity testing on pore water and sediments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125288","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Piatak, N., Argue, D.M., Seal, R., Kiah, R.G., Besser, J.M., Coles, J.F., Hammarstrom, J.M., Levitan, D.M., Deacon, J.R., and Ingersoll, C.G., 2013, Aquatic assessment of the Pike Hill Copper Mine Superfund site, Corinth, Vermont: U.S. Geological Survey Scientific Investigations Report 2012-5288, x, 109 p.; 14 Appendixes; 17 Tables, https://doi.org/10.3133/sir20125288.","productDescription":"x, 109 p.; 14 Appendixes; 17 Tables","startPage":"i","endPage":"109","numberOfPages":"124","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":267279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5288.gif"},{"id":267274,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5288/"},{"id":267275,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5288/pdf/sir2012-5288.pdf"},{"id":267276,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5288/SIR2012_5288_Appendix1.zip"},{"id":267277,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5288/pdf/appendixes2-14.pdf"},{"id":267278,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5288/text_and_appendix_tables.xlsx"}],"country":"United States","state":"Vermont","city":"Corinth","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.382768,43.978778 ], [ -72.382768,44.096112 ], [ -72.19157,44.096112 ], [ -72.19157,43.978778 ], [ -72.382768,43.978778 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511b6462e4b0e3ef7b6f1df1","contributors":{"authors":[{"text":"Piatak, Nadine M.","contributorId":23621,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine M.","affiliations":[],"preferred":false,"id":473437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Argue, Denise M. 0000-0002-1096-5362 dmargue@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-5362","contributorId":2636,"corporation":false,"usgs":true,"family":"Argue","given":"Denise","email":"dmargue@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seal, Robert R. 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To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State’s untreated groundwater quality and increases public access to groundwater-quality information. The Madera and Chowchilla subbasins of the San Joaquin Valley constitute one of the study units being evaluated. The Madera-Chowchilla study unit is about 860 square miles and consists of the Madera and Chowchilla groundwater subbasins of the San Joaquin Valley Basin (California Department of Water Resources, 2003; Shelton and others, 2009). The study unit has hot, dry summers and cool, moist winters. Average annual rainfall ranges from 11 to 15 inches, most of which occurs between November and February. The main surface-water features in the study unit are the San Joaquin, Fresno, and Chowchilla Rivers, and the Madera and Chowchilla canals. Land use in the study unit is about 69 percent (%) agricultural, 28% natural (mainly grasslands), and 3% urban. The primary crops are orchards and vineyards. The largest urban area is the city of Madera. The primary aquifer system is defined as those parts of the aquifer corresponding to the perforated intervals of wells listed in the California Department of Public Health (CDPH) database. In the Madera-Chowchilla study unit, these wells typically are drilled to depths between 200 and 800 feet, consist of a solid casing from land surface to a depth of about 140 to 400 feet, and are perforated below the solid casing. Water quality in the primary aquifer system may differ from that in the shallower and deeper parts of the aquifer system. The primary aquifer system in the study unit consists of Quaternary-age alluvial-fan and fluvial deposits that were formed by the rivers draining the Sierra Nevada. Sediments consist of gravels, sands, silts, and clays and generally are coarser closest to the Sierra Nevada and become finer towards the center of the basin. The structure and composition of the deposits in the Madera-Chowchilla study unit are different from those in other parts of the eastern San Joaquin Valley because the Fresno and Chowchilla Rivers primarily drain the Sierra Nevada foothills, whereas the larger rivers drain higher elevations with greater sediment supply. These differences in the sources of sediments are important because they may affect the groundwater chemistry and the physical structure of the sedimentary deposits. Some of the clay layers are lacustrine deposits, the most extensive of which, the Corcoran Clay, underlies the western part of the study unit and divides the primary aquifer system into an unconfined to semi-confined upper system and a largely confined lower system. Regional lateral flow of groundwater is southwest towards the valley trough. Irrigation return flows are the major source of groundwater recharge, and groundwater pumping is the major source of discharge. Groundwater on a lateral flow path may be repeatedly extracted by pumping wells and reapplied at the surface multiple times before reaching the valley trough, resulting in a substantial component of downward vertical flow (Burow and others, 2004; Phillips and others, 2007; Faunt, 2009). This flow pattern enhances movement of water from shallow depths to the primary aquifer system.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123099","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board","usgsCitation":"Shelton, J.L., Fram, M.S., and Belitz, K., 2013, Groundwater quality in the Madera and Chowchilla subbasins of the San Joaquin Valley, California: U.S. Geological Survey Fact Sheet 2012-3099, 4 p., https://doi.org/10.3133/fs20123099.","productDescription":"4 p.","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":267242,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3099/"},{"id":267243,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3099/pdf/fs20123099.pdf"},{"id":267244,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/sir/2012/5094"},{"id":267245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3099.gif"}],"country":"United States","state":"California","city":"Chowchilla;Madera","otherGeospatial":"San Joaquin Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.675,36.75 ], [ -120.675,37.2 ], [ -119.597,37.2 ], [ -119.597,36.75 ], [ -120.675,36.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511a12dfe4b084e2824d68dc","contributors":{"authors":[{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":473374,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043179,"text":"ofr20131005 - 2013 - Defining a data management strategy for USGS Chesapeake Bay studies","interactions":[],"lastModifiedDate":"2021-07-06T23:04:57.195617","indexId":"ofr20131005","displayToPublicDate":"2013-02-06T00:00:00","publicationYear":"2013","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":"2013-1005","title":"Defining a data management strategy for USGS Chesapeake Bay studies","docAbstract":"The mission of U.S. Geological Survey’s (USGS) Chesapeake Bay studies is to provide integrated science for improved understanding and management of the Chesapeake Bay ecosystem. Collective USGS efforts in the Chesapeake Bay watershed began in the 1980s, and by the mid-1990s the USGS adopted the watershed as one of its national place-based study areas. Great focus and effort by the USGS have been directed toward Chesapeake Bay studies for almost three decades. The USGS plays a key role in using “ecosystem-based adaptive management, which will provide science to improve the efficiency and accountability of Chesapeake Bay Program activities” (Phillips, 2011). Each year USGS Chesapeake Bay studies produce published research, monitoring data, and models addressing aspects of bay restoration such as, but not limited to, fish health, water quality, land-cover change, and habitat loss. The USGS is responsible for collaborating and sharing this information with other Federal agencies and partners as described under the President’s Executive Order 13508—Strategy for Protecting and Restoring the Chesapeake Bay Watershed signed by President Obama in 2009. Historically, the USGS Chesapeake Bay studies have relied on national USGS databases to store only major nationally available sources of data such as streamflow and water-quality data collected through local monitoring programs and projects, leaving a multitude of other important project data out of the data management process. This practice has led to inefficient methods of finding Chesapeake Bay studies data and underutilization of data resources. Data management by definition is “the business functions that develop and execute plans, policies, practices and projects that acquire, control, protect, deliver and enhance the value of data and information.” (Mosley, 2008a). In other words, data management is a way to preserve, integrate, and share data to address the needs of the Chesapeake Bay studies to better manage data resources, work more efficiently with partners, and facilitate holistic watershed science. It is now the goal of the USGS Chesapeake Bay studies to implement an enhanced and all-encompassing approach to data management. This report discusses preliminary efforts to implement a physical data management system for program data that is not replicated nationally through other USGS databases.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131005","usgsCitation":"Ladino, C., 2013, Defining a data management strategy for USGS Chesapeake Bay studies: U.S. Geological Survey Open-File Report 2013-1005, iii, 7 p., https://doi.org/10.3133/ofr20131005.","productDescription":"iii, 7 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":267086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1005.gif"},{"id":267084,"type":{"id":15,"text":"Index 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The basin is bounded by the Washakie Range and Owl Creek and southern Bighorn Mountains on the north, the Casper arch on the east and northeast, and the Granite Mountains on the south, and Wind River Range on the west. The purpose of this report is to present new vitrinite reflectance data collected mainly from Cretaceous marine shales in the Wind River Basin to better characterize their thermal maturity and hydrocarbon potential.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131002","usgsCitation":"Pawlewicz, M.J., and Finn, T.M., 2013, New vitrinite reflectance data for the Wind River Basin, Wyoming: U.S. Geological Survey Open-File Report 2013-1002, iii, 11 p., https://doi.org/10.3133/ofr20131002.","productDescription":"iii, 11 p.","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040666","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":266975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1002.gif"},{"id":266973,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1002/"},{"id":266974,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1002/OF13-1002.pdf"}],"country":"United States","state":"Arizona;Colorado;Idaho;Montana;Nebraska;New Mexico;North Dakota;South Dakota;Wyoming","otherGeospatial":"Wind River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.37,35.87 ], [ -112.37,46.07 ], [ -102.46,46.07 ], [ -102.46,35.87 ], [ -112.37,35.87 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511229fee4b0ebe69d7eb604","contributors":{"authors":[{"text":"Pawlewicz, Mark J. pawlewicz@usgs.gov","contributorId":752,"corporation":false,"usgs":true,"family":"Pawlewicz","given":"Mark","email":"pawlewicz@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":472943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":472944,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048252,"text":"70048252 - 2013 - Reconnaissance studies of potential petroleum source rocks in the Middle Jurassic Tuxedni Group near Red Glacier, eastern slope of Iliamna Volcano","interactions":[],"lastModifiedDate":"2023-06-05T15:36:48.77785","indexId":"70048252","displayToPublicDate":"2013-02-01T14:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":239,"text":"Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"2013-1B","title":"Reconnaissance studies of potential petroleum source rocks in the Middle Jurassic Tuxedni Group near Red Glacier, eastern slope of Iliamna Volcano","docAbstract":"Previous geological and organic geochemical studies have concluded that organic-rich marine shale in the Middle Jurassic Tuxedni Group is the principal source rock of oil and associated gas in Cook Inlet (Magoon and Anders, 1992; Magoon, 1994; Lillis and Stanley, 2011; LePain and others, 2012; LePain and others, submitted). During May 2009 helicopter-assisted field studies, 19 samples of dark-colored, fine-grained rocks were collected from exposures of the Red Glacier Formation of the Tuxedni Group near Red Glacier, about 70 km west of Ninilchik on the eastern flank of Iliamna Volcano (figs. 1 and 3). The rock samples were submitted to a commercial laboratory for analysis by Rock-Eval pyrolysis and to the U.S. Geological Survey organic geochemical laboratory in Denver, Colorado, for analysis of vitrinite reflectance. The results show that values of vitrinite reflectance (percent Ro) in our samples average about 2 percent, much higher than the oil window range of 0.6–1.3 percent (Johnsson and others, 1993). The high vitrinite reflectance values indicate that the rock samples experienced significant heating and furthermore suggest that these rocks may have generated oil and gas in the past but no longer have any hydrocarbon source potential. The high thermal maturity of the rock samples may have resulted from (1) the thermaleffects of igneous activity (including intrusion by igneous rocks), (2) deep burial beneath Jurassic, Cretaceous, and Tertiary strata that were subsequently removed by uplift and erosion, or (3) the combined effects of igneous activity and burial.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Overview of 2012 field studies: Upper Alaska Peninsula and west side of lower Cook Inlet, Alaska (Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report 2013-1)","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","usgsCitation":"Stanley, R.G., Herriott, T., LePain, D., Helmold, K.P., and Peterson, C.S., 2013, Reconnaissance studies of potential petroleum source rocks in the Middle Jurassic Tuxedni Group near Red Glacier, eastern slope of Iliamna Volcano: Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report 2013-1B, 5 p.","productDescription":"5 p.","startPage":"5","endPage":"9","ipdsId":"IP-042894","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":279275,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277833,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.dggs.dnr.state.ak.us/pubs/id/24824"}],"country":"United States","state":"Alaska","otherGeospatial":"Iliamna Volcano, Red Glacier","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -153.37585474005056,\n 60.326871087572016\n ],\n [\n -153.37585474005056,\n 59.76667686431813\n ],\n [\n -152.56184991356824,\n 59.76667686431813\n ],\n [\n -152.56184991356824,\n 60.326871087572016\n ],\n [\n -153.37585474005056,\n 60.326871087572016\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7804e4b0abf75cf2c7c0","contributors":{"authors":[{"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":484163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herriott, Trystan M.","contributorId":68845,"corporation":false,"usgs":true,"family":"Herriott","given":"Trystan M.","affiliations":[],"preferred":false,"id":484165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LePain, David L.","contributorId":105209,"corporation":false,"usgs":true,"family":"LePain","given":"David L.","affiliations":[],"preferred":false,"id":484167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helmold, Kenneth P.","contributorId":69456,"corporation":false,"usgs":true,"family":"Helmold","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, C. 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The monument is jointly managed by the National Park Service (NPS) and the Bureau of Land Management. This study was in response to NPS’s need to better understand the influence from regional increases in groundwater withdrawals near Grand Canyon-Parashant on the groundwater discharge from Tassi and Pakoon Springs. The climate of the Arizona Strip is generally semiarid to arid, and springs in the monument provide the water for the fragile ecosystems that are commonly separated by large areas of dry washes in canyons with pinyon and juniper. Available hydrogeologic data from previous investigations included water levels from the few existing wells, location information for springs, water chemistry from springs, and geologic maps. Available groundwater-elevation data from the wells and springs in the monument indicate that groundwater in the Grand Wash Trough is moving from north to south, discharging to springs and into the Colorado River. Groundwater may also be moving from east to west from Paleozoic rocks in the Grand Wash Cliffs into sedimentary deposits in the Grand Wash Trough. Finally, groundwater may be moving from the northwest in the Mesoproterozoic crystalline rocks of the Virgin Mountains into the northern part of the Grand Wash Trough. Water discharging from Tassi and Pakoon Springs has a major-ion chemistry similar to that of other springs in the western part of Grand Canyon-Parashant. Stable-isotopic signatures for oxygen-18 and hydrogen-2 are depleted in the water from both Tassi and Pakoon Springs in comparison to other springs on the Arizona Strip. Tassi Spring discharges from multiple seeps along the Wheeler Fault, and the depleted isotopic signatures suggest that water may be flowing from multiple places into Lake Mead and seems to have a higher elevation or an older climate source. Elevated water temperatures and a depleted stable-isotopic signature for Pakoon Springs suggest that the water may be traveling along a deep circulating flowpath, have multiple sources of water, been recharged at a high elevation, and (or) has an older climate source.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125276","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Truini, M., 2013, Preliminary hydrogeologic assessment near Tassi and Pakoon Springs, western part of Grand Canyon-Parashant National Monument, Arizona: U.S. Geological Survey Scientific Investigations Report 2012-5276, iv, 12 p., https://doi.org/10.3133/sir20125276.","productDescription":"iv, 12 p.","startPage":"i","endPage":"12","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":266755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5276.gif"},{"id":266753,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5276/"},{"id":266754,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5276/sir2012-5276.pdf"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon-parashant National Monument;Tassi Spring;Pakoon Spring","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.05,37.0 ], [ -109.05,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510a40efe4b0de10a2aaab7d","contributors":{"authors":[{"text":"Truini, Margot mtruini@usgs.gov","contributorId":599,"corporation":false,"usgs":true,"family":"Truini","given":"Margot","email":"mtruini@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472776,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}