Researchers from the U.S. Geological Survey (USGS) Woods Hole Coastal and Marine Science Center (WHCMSC), in collaboration with Coastal Carolina University (CCU) and University of South Carolina (USC), conducted a scientific field study to investigate the ocean circulation and sediment transport processes offshore of Fire Island, NY. Although the physical processes along the entire linear extent of Fire Island (~50 km) are of interest to the project, one particular region of focus is at the western end of the island where offshore sand ridges out to depths of 20 m extend across the inner shelf and connect to the near-shore bar system. The primary objective was to measure the physical processes around the sand ridges, including circulation patterns, wave parameters, bottom stress, and suspended sediment. Transects of instrumentation were positioned along and across the crests and troughs of the ridge field. A site at the top of a ridge and a site at the bottom of an adjacent trough were each populated with two tripods designed to provide high-resolution measurements near the sea-bed to record sediment re-suspension events. Measurements at these two sites include near bottom velocity profiles, acoustic Doppler velocimeters, pressure, optical transmission and backscatter at high sampling rates. Other measurements include upward looking velocity profiles, temperature, salinity, sonar images and profiles, and sediment size classes. Five smaller tripods were deployed to complete lines alongshore and across shore over a 5 km area to provide a regional picture. These tripods recorded upward looking velocity profiles and near bottom temperature, pressure and salinity. Surface buoys marked the position of the tripods and collected surface measurements at six of the sites. One buoy gathered meteorological measurements. The sites were occupied from January to April, 2012. This deployment was similar to previous efforts off Cape Hatteras, NC, in 2009, and is part of an ongoing effort to understand regional patterns in circulation and sediment transport and the interaction of inner shelf and near shore processes. New instrumentation for the USGS was introduced, including a variety of current and wave measurement equipment, acquisition and telemetry in near-realtime of the weather data, time series sonar imaging equipment, and anti-fouling wipers. Preliminary results suggest a complex and subtle relationship between wind and across shore current velocity in this region, and a more straightforward relationship between winds and alongshore currents. This paper also includes a preliminary report on the effectiveness of new measurement techniques used during this experiment.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of 2012 Oceans","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Oceans 2012","conferenceDate":"October 14-19, 2012","conferenceLocation":"Hampton Roads, VA","language":"English","publisher":"IEEE","doi":"10.1109/OCEANS.2012.6404791","usgsCitation":"Martini, M.A., Warner, J.C., Armstrong, B., Montgomery, E., List, J.H., and Marshall, N., 2012, Observations of ocean circulation and sediment transport experiment offshore of Fire Island, NY, in Proceedings of 2012 Oceans, Hampton Roads, VA, October 14-19, 2012, 8 p., https://doi.org/10.1109/OCEANS.2012.6404791.","productDescription":"8 p.","ipdsId":"IP-040100","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":484388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Untied States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.1591180265002,\n 40.65161160399592\n ],\n [\n -73.26293784266261,\n 40.62795967903003\n ],\n [\n -73.30934037900587,\n 40.630449749970495\n ],\n [\n -73.31965205374912,\n 40.6228013795743\n ],\n [\n -73.30535632285532,\n 40.61835424994533\n ],\n [\n -73.2395022182463,\n 40.62155621312161\n ],\n [\n -73.15466525786086,\n 40.63774156644993\n ],\n [\n -73.03233098322134,\n 40.66921196218672\n ],\n [\n -73.03889295805787,\n 40.68040962528809\n ],\n [\n -73.1591180265002,\n 40.65161160399592\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":258015,"corporation":false,"usgs":true,"family":"Warner","given":"John","email":"jcwarner@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Armstrong, Brandy barmstrong@usgs.gov","contributorId":140038,"corporation":false,"usgs":true,"family":"Armstrong","given":"Brandy","email":"barmstrong@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":515473,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"List, Jeffrey H. 0000-0001-8594-2491 jlist@usgs.gov","orcid":"https://orcid.org/0000-0001-8594-2491","contributorId":174581,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey","email":"jlist@usgs.gov","middleInitial":"H.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932889,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Montgomery, Ellyn 0000-0002-9354-4220 emontgomery@usgs.gov","orcid":"https://orcid.org/0000-0002-9354-4220","contributorId":192275,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn","email":"emontgomery@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932890,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marshall, Nicole","contributorId":353084,"corporation":false,"usgs":false,"family":"Marshall","given":"Nicole","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":932891,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70042408,"text":"70042408 - 2012 - Laboratory observations of fault strength in response to changes in normal stress","interactions":[],"lastModifiedDate":"2013-01-10T15:27:03","indexId":"70042408","displayToPublicDate":"2013-01-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2167,"text":"Journal of Applied Mechanics","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory observations of fault strength in response to changes in normal stress","docAbstract":"Changes in fault normal stress can either inhibit or promote rupture propagation, depending on the fault geometry and on how fault shear strength varies in response to the normal stress change. A better understanding of this dependence will lead to improved earthquake simulation techniques, and ultimately, improved earthquake hazard mitigation efforts. We present the results of new laboratory experiments investigating the effects of step changes in fault normal stress on the fault shear strength during sliding, using bare Westerly granite samples, with roughened sliding surfaces, in a double direct shear apparatus. Previous experimental studies examining the shear strength following a step change in the normal stress produce contradictory results: a set of double direct shear experiments indicates that the shear strength of a fault responds immediately, and then is followed by a prolonged slip-dependent response, while a set of shock loading experiments indicates that there is no immediate component, and the response is purely gradual and slip-dependent. In our new, high-resolution experiments, we observe that the acoustic transmissivity and dilatancy of simulated faults in our tests respond immediately to changes in the normal stress, consistent with the interpretations of previous investigations, and verify an immediate increase in the area of contact between the roughened sliding surfaces as normal stress increases. However, the shear strength of the fault does not immediately increase, indicating that the new area of contact between the rough fault surfaces does not appear preloaded with any shear resistance or strength. Additional slip is required for the fault to achieve a new shear strength appropriate for its new loading conditions, consistent with previous observations made during shock loading.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Mechanics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Mechanical Engineers (ASME)","publisherLocation":"New York, NY","doi":"10.1115/1.4005883","usgsCitation":"Kilgore, B.D., Lozos, J., Beeler, N.M., and Oglesby, D., 2012, Laboratory observations of fault strength in response to changes in normal stress: Journal of Applied Mechanics, v. 79, no. 3, https://doi.org/10.1115/1.4005883.","productDescription":"10 p.","startPage":"031007","ipdsId":"IP-031447","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":265520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265517,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1115/1.4005883"}],"volume":"79","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-04-05","publicationStatus":"PW","scienceBaseUri":"53cd638ae4b0b290850fedb9","contributors":{"authors":[{"text":"Kilgore, Brian D. 0000-0003-0530-7979 bkilgore@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7979","contributorId":3887,"corporation":false,"usgs":true,"family":"Kilgore","given":"Brian","email":"bkilgore@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lozos, Julian","contributorId":46386,"corporation":false,"usgs":true,"family":"Lozos","given":"Julian","affiliations":[],"preferred":false,"id":471479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oglesby, David","contributorId":99858,"corporation":false,"usgs":true,"family":"Oglesby","given":"David","affiliations":[],"preferred":false,"id":471480,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042519,"text":"sir20125271 - 2012 - U.S. Geological Survey, National Wildlife Health Center, 2011 report of selected wildlife diseases","interactions":[],"lastModifiedDate":"2018-07-05T11:43:05","indexId":"sir20125271","displayToPublicDate":"2013-01-10T00:00:00","publicationYear":"2012","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":"2012-5271","title":"U.S. Geological Survey, National Wildlife Health Center, 2011 report of selected wildlife diseases","docAbstract":"The National Wildlife Health Center (NWHC) was founded in 1975 to provide technical assistance in identifying, controlling, and preventing wildlife losses from diseases, conduct research to understand the impact of diseases on wildlife populations, and devise methods to more effectively manage these disease threats. The impetus behind the creation of the NWHC was, in part, the catastrophic loss of tens of thousands of waterfowl as a result of an outbreak of duck plague at the Lake Andes National Wildlife Refuge in South Dakota during January 1973. In 1996, the NWHC, along with other Department of Interior research functions, was transferred from the U.S. Fish and Wildlife Service to the U.S. Geological Survey (USGS), where we remain one of many entities that provide the independent science that forms the bases of the sound management of the Nation’s natural resources. Our mission is to provide national leadership to safeguard wildlife and ecosystem health through dynamic partnerships and exceptional science. The main campus of the NWHC is located in Madison, Wis., where we maintain biological safety level 3 (BSL–3) diagnostic and research facilities purposefully designed for work with wildlife species. The NWHC provides research and technical assistance on wildlife health issues to State, Federal, and international agencies. In addition, since 1992 we have maintained a field station in Hawaii, the Honolulu Field Station, which focuses on marine and terrestrial natural resources throughout the Pacific region. The NWHC conducts diagnostic investigations of unusual wildlife morbidity and mortality events nationwide to detect the presence of wildlife pathogens and determine the cause of death. This is also an important activity for detecting new, emerging and resurging diseases. The NWHC provides this crucial information on the presence of wildlife diseases to wildlife managers to support sound management decisions. The data and information generated also allows for further indepth analyses for determining the biological and ecological significance of disease events, detecting disease trends over time and space, as well as detecting any significant changes to how diseases manifest in the field. Moreover, this information allows us to gain insight into the significance of future wildlife disease events. The purpose of this report is to provide a sample of NWHC data that are available from our Laboratory Information Management System (LIMS). These data are presented in summary format with minimal statistical analysis and interpretation. The goal is to share these data with wildlife managers and other stakeholders, promote the use of NHWC data, and encourage the sharing of wildlife disease data to improve temporal and geographic surveillance coverage. Continued national surveillance for wildlife diseases is essential for providing early detection and warning of events that have the potential to result in harm to human health, economic losses, declines in wildlife populations, and subsequent ecological disturbances. Increased collaboration, coordination, and sharing of surveillance data will enhance this Nation’s ability to detect and respond to wildlife disease threats.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125271","usgsCitation":"Green, D.E., Hines, M., Russell, R.E., and Sleeman, J.M., 2012, U.S. Geological Survey, National Wildlife Health Center, 2011 report of selected wildlife diseases: U.S. Geological Survey Scientific Investigations Report 2012-5271, vi, 39 p., https://doi.org/10.3133/sir20125271.","productDescription":"vi, 39 p.","startPage":"i","endPage":"39","numberOfPages":"49","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":265532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5271.gif"},{"id":265530,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5271/"},{"id":265531,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5271/pdf/NWHC-SIR2012_5271.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7a07e4b0b2908510d372","contributors":{"authors":[{"text":"Green, David E. 0000-0002-7663-1832 degreen@usgs.gov","orcid":"https://orcid.org/0000-0002-7663-1832","contributorId":3715,"corporation":false,"usgs":true,"family":"Green","given":"David","email":"degreen@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":516198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, Megan 0000-0002-9845-4849 mhines@usgs.gov","orcid":"https://orcid.org/0000-0002-9845-4849","contributorId":4783,"corporation":false,"usgs":true,"family":"Hines","given":"Megan","email":"mhines@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":516200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":516199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":516197,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70007153,"text":"70007153 - 2012 - Landsat: building a strong future","interactions":[],"lastModifiedDate":"2013-01-10T15:47:51","indexId":"70007153","displayToPublicDate":"2013-01-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Landsat: building a strong future","docAbstract":"Conceived in the 1960s, the Landsat program has experienced six successful missions that have contributed to an unprecedented 39-year record of Earth Observations that capture global land conditions and dynamics. Incremental improvements in imaging capabilities continue to improve the quality of Landsat science data, while ensuring continuity over the full instrument record. Landsats 5 and 7 are still collecting imagery. The planned launch of the Landsat Data Continuity Mission in December 2012 potentially extends the Landsat record to nearly 50 years. The U.S. Geological Survey (USGS) Landsat archive contains nearly three million Landsat images. All USGS Landsat data are available at no cost via the Internet. The USGS is committed to improving the content of the historical Landsat archive though the consolidation of Landsat data held in international archives. In addition, the USGS is working on a strategy to develop higher-level Landsat geo- and biophysical datasets. Finally, Federal efforts are underway to transition Landsat into a sustained operational program within the Department of the Interior and to authorize the development of the next two satellites — Landsats 9 and 10.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.rse.2011.09.022","usgsCitation":"Loveland, T., and Dwyer, J.L., 2012, Landsat: building a strong future: Remote Sensing of Environment, v. 122, p. 22-29, https://doi.org/10.1016/j.rse.2011.09.022.","productDescription":"8 p.","startPage":"22","endPage":"29","ipdsId":"IP-033535","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":265525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265523,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2011.09.022"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"122","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd63fce4b0b290850ff2bc","contributors":{"authors":[{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":355950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dwyer, John L. 0000-0002-8281-0896 dwyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-0896","contributorId":3481,"corporation":false,"usgs":true,"family":"Dwyer","given":"John","email":"dwyer@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":355951,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042442,"text":"70042442 - 2012 - Laboratory triggering of stick-slip events by oscillatory loading in the presence of pore fluid with implications for physics of tectonic tremor","interactions":[],"lastModifiedDate":"2013-02-23T22:30:50","indexId":"70042442","displayToPublicDate":"2013-01-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory triggering of stick-slip events by oscillatory loading in the presence of pore fluid with implications for physics of tectonic tremor","docAbstract":"The physical mechanism by which the low-frequency earthquakes (LFEs) that make up portions of tectonic (also called non-volcanic) tremor are created is poorly understood. In many areas of the world, tectonic tremor and LFEs appear to be strongly tidally modulated, whereas ordinary earthquakes are not. Anomalous seismic wave speeds, interpreted as high pore fluid pressure, have been observed in regions that generate tremor. Here we build upon previous laboratory studies that investigated the response of stick-slip on artificial faults to oscillatory, tide-like loading. These previous experiments were carried out using room-dry samples of Westerly granite, at one effective stress. Here we augment these results with new experiments on Westerly granite, with the addition of varying effective stress using pore fluid at two pressures. We find that raising pore pressure, thereby lowering effective stress can significantly increase the degree of correlation of stick-slip to oscillatory loading. We also find other pore fluid effects that become important at higher frequencies, when the period of oscillation is comparable to the diffusion time of pore fluid into the fault. These results help constrain the conditions at depth that give rise to tidally modulated LFEs, providing confirmation of the effective pressure law for triggering and insights into why tremor is tidally modulated while earthquakes are at best only weakly modulated.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012JB009452","usgsCitation":"Bartlow, N., Lockner, D.A., and Beeler, N.M., 2012, Laboratory triggering of stick-slip events by oscillatory loading in the presence of pore fluid with implications for physics of tectonic tremor: Journal of Geophysical Research B: Solid Earth, v. 117, no. B11, p. 1-11, https://doi.org/10.1029/2012JB009452.","productDescription":"B11411: 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-041164","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":474105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012jb009452","text":"Publisher Index Page"},{"id":265521,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012JB009452"},{"id":265522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"B11","noUsgsAuthors":false,"publicationDate":"2012-11-28","publicationStatus":"PW","scienceBaseUri":"5129f331e4b04edf7e93f8ff","contributors":{"authors":[{"text":"Bartlow, Noel M.","contributorId":38868,"corporation":false,"usgs":true,"family":"Bartlow","given":"Noel M.","affiliations":[],"preferred":false,"id":471541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":471539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":471540,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042455,"text":"fs20123032 - 2012 - Groundwater quality in the Owens Valley, California","interactions":[],"lastModifiedDate":"2013-01-09T15:04:31","indexId":"fs20123032","displayToPublicDate":"2013-01-09T00:00:00","publicationYear":"2012","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":"2012-3032","title":"Groundwater quality in the Owens Valley, California","docAbstract":"Groundwater provides more than 40 percent of California’s drinking water. 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 groundwater quality and increases public access to groundwater-quality information. Owens Valley is one of the study areas being evaluated. The Owens study area is approximately 1,030 square miles (2,668 square kilometers) and includes the Owens Valley groundwater basin (California Department of Water Resources, 2003). Owens Valley has a semiarid to arid climate, with average annual rainfall of about 6 inches (15 centimeters). The study area has internal drainage, with runoff primarily from the Sierra Nevada draining east to the Owens River, which flows south to Owens Lake dry lakebed at the southern end of the valley. Beginning in the early 1900s, the City of Los Angeles began diverting the flow of the Owens River to the Los Angeles Aqueduct, resulting in the evaporation of Owens Lake and the formation of the current Owens Lake dry lakebed. Land use in the study area is approximately 94 percent (%) natural, 5% agricultural, and 1% urban. The primary natural land cover is shrubland. The largest urban area is the city of Bishop (2010 population of 4,000). Groundwater in this basin is used for public and domestic water supply and for irrigation. The main water-bearing units are gravel, sand, silt, and clay derived from surrounding mountains. Recharge to the groundwater system is primarily runoff from the Sierra Nevada, and by direct infiltration of irrigation. The primary sources of discharge are pumping wells, evapotranspiration, and underflow to the Owens Lake dry lakebed. The primary aquifers in Owens Valley are defined as those parts of the aquifers corresponding to the perforated intervals of wells listed in the California Department of Public Health database. Public-supply wells in Owens Valley are completed to depths between 210 and 480 feet (64 to 146 meters), consist of solid casing from the land surface to a depth of 50 to 80 feet (15 to 24 meters), and are screened or perforated below the solid casing.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123032","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board. This report has related reports. Please see: SIR 2012-5040, FS 2012-3033, FS 2012-3034, FS 2012-3035, FS 2012-3036, FS 2012-3098.","usgsCitation":"Dawson, B.J., and Belitz, K., 2012, Groundwater quality in the Owens Valley, California: U.S. Geological Survey Fact Sheet 2012-3032, Report: 4 p.; Related Reports: SIR 2012-5040, FS 2012-3033, FS 2012-3034, FS 2012-3035, FS 2012-3036, FS 2012-3098, https://doi.org/10.3133/fs20123032.","productDescription":"Report: 4 p.; Related Reports: SIR 2012-5040, FS 2012-3033, FS 2012-3034, FS 2012-3035, FS 2012-3036, FS 2012-3098","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":265430,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/sir/2012/5040/"},{"id":265431,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3033"},{"id":265428,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3032/"},{"id":265429,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3032/pdf/fs20123032.pdf"},{"id":265432,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3034"},{"id":265433,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3035"},{"id":265434,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3036"},{"id":265435,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3098"},{"id":265436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3032.jpg"}],"country":"United States","state":"California","otherGeospatial":"Owens Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.75,36.0 ], [ -118.75,38.0 ], [ -117.5,38.0 ], [ -117.5,36.0 ], [ -118.75,36.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ee9174e4b0160a2d0ee33f","contributors":{"authors":[{"text":"Dawson, Barbara J. Milby 0000-0002-0209-8158","orcid":"https://orcid.org/0000-0002-0209-8158","contributorId":57334,"corporation":false,"usgs":true,"family":"Dawson","given":"Barbara","email":"","middleInitial":"J. Milby","affiliations":[],"preferred":false,"id":471582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":471581,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042446,"text":"sir20125273 - 2012 - Shallow groundwater quality and geochemistry in the Fayetteville Shale gas-production area, north-central Arkansas, 2011","interactions":[],"lastModifiedDate":"2013-01-09T10:38:26","indexId":"sir20125273","displayToPublicDate":"2013-01-09T00:00:00","publicationYear":"2012","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":"2012-5273","title":"Shallow groundwater quality and geochemistry in the Fayetteville Shale gas-production area, north-central Arkansas, 2011","docAbstract":"The Mississippian Fayetteville Shale serves as an unconventional gas reservoir across north-central Arkansas, ranging in thickness from approximately 50 to 550 feet and varying in depth from approximately 1,500 to 6,500 feet below the ground surface. Primary permeability in the Fayetteville Shale is severely limited, and successful extraction of the gas reservoir is the result of advances in horizontal drilling techniques and hydraulic fracturing to enhance and develop secondary fracture porosity and permeability. Drilling and production of gas wells began in 2004, with a steady increase in production thereafter. As of April 2012, approximately 4,000 producing wells had been completed in the Fayetteville Shale. In Van Buren and Faulkner Counties, 127 domestic water wells were sampled and analyzed for major ions and trace metals, with a subset of the samples analyzed for methane and carbon isotopes to describe general water quality and geochemistry and to investigate the potential effects of gas-production activities on shallow groundwater in the study area. Water-quality analyses from this study were compared to historical (pregas development) shallow groundwater quality collected in the gas-production area. An additional comparison was made using analyses from this study of groundwater quality in similar geologic and topographic areas for well sites less than and greater than 2 miles from active gas-production wells. Chloride concentrations for the 127 groundwater samples collected for this study ranged from approximately 1.0 milligram per liter (mg/L) to 70 mg/L, with a median concentration of 3.7 mg/L, as compared to maximum and median concentrations for the historical data of 378 mg/L and 20 mg/L, respectively. Statistical analysis of the data sets revealed statistically larger chloride concentrations (p-value <0.001) in the historical data compared to data collected for this study. Chloride serves as an important indicator parameter based on its conservative transport characteristics and relatively elevated concentrations in production waters associated with gas extraction activities. Major ions and trace metals additionally had lower concentrations in data gathered for this study than in the historical analyses. Additionally, no statistical difference existed between chloride concentrations from water-quality data collected for this study from 94 wells located less than 2 miles from a gas-production well and 33 wells located 2 miles or more from a gas-production well; a Wilcoxon rank-sum test showed a p-value of 0.71. Major ion chemistry was investigated to understand the effects of geochemical and reduction-oxidation (redox) processes on the shallow groundwater in the study area along a continuum of increased rock-water interaction represented by increases in dissolved solids concentration. Groundwater in sandstone formations is represented by a low dissolved solids concentration (less than 30 mg/L) and slightly acidic water type. Shallow shale aquifers were represented by dissolved solids concentrations ranging upward to 686 mg/L, and water types evolving from a dominantly mixed-bicarbonate and calcium-bicarbonate to a strongly sodium-bicarbonate water type. Methane concentration and carbon isotopic composition were analyzed in 51 of the 127 samples collected for this study. Methane occurred above a detection limit of 0.0002 mg/L in 32 of the 51 samples, with concentrations ranging upward to 28.5 mg/L. Seven samples had methane concentrations greater than or equal to 0.5 mg/L. The carbon isotopic composition of these higher concentration samples, including the highest concentration of 28.5 mg/L, shows the methane was likely biogenic in origin with carbon isotope ratio values ranging from -57.6 to -74.7 per mil. Methane concentrations increased with increases in dissolved solids concentrations, indicating more strongly reducing conditions with increasing rock-water interaction in the aquifer. As such, groundwater-quality data collected for this study indicate that groundwater chemistry in the shallow aquifer system in the study area is a result of natural processes, beginning with recharge of dilute atmospheric precipitation and evolution of observed groundwater chemistry through rock-water interaction and redox processes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125273","collaboration":"Prepared in cooperation with (in alphabetical order) the Arkansas Natural Resources Commission, Arkansas Oil and Gas Commission, Duke University, Faulkner County, Shirley Community Development Corporation, and the University of Arkansas at Fayetteville, and the U.S. Geological Survey Groundwater Resources Program","usgsCitation":"Kresse, T.M., Warner, N., Hays, P.D., Down, A., Vengosh, A., and Jackson, R.B., 2012, Shallow groundwater quality and geochemistry in the Fayetteville Shale gas-production area, north-central Arkansas, 2011: U.S. Geological Survey Scientific Investigations Report 2012-5273, Report: viii, 31 p.; Appendixes, https://doi.org/10.3133/sir20125273.","productDescription":"Report: viii, 31 p.; Appendixes","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2012-04-30","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":265422,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5273/"},{"id":265423,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5273/sir2012-5273.pdf"},{"id":265424,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5273/sir2012-5273_app.xlsx"},{"id":265425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5273.gif"}],"datum":"Datum World Geodetic System 1984","country":"United States","state":"Arkansas","county":"Cleburne;Conway;Faulkner;Pope;Stone;Van Buren;White","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.0,35.0 ], [ -93.0,36.0 ], [ -91.8,36.0 ], [ -91.8,35.0 ], [ -93.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ee9175e4b0160a2d0ee343","contributors":{"authors":[{"text":"Kresse, Timothy M. 0000-0003-1035-0672 tkresse@usgs.gov","orcid":"https://orcid.org/0000-0003-1035-0672","contributorId":2758,"corporation":false,"usgs":true,"family":"Kresse","given":"Timothy","email":"tkresse@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, Nathaniel R.","contributorId":56129,"corporation":false,"usgs":true,"family":"Warner","given":"Nathaniel R.","affiliations":[],"preferred":false,"id":471557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Down, Adrian","contributorId":96175,"corporation":false,"usgs":true,"family":"Down","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":471558,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vengosh, Avner","contributorId":21842,"corporation":false,"usgs":true,"family":"Vengosh","given":"Avner","affiliations":[],"preferred":false,"id":471555,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, Robert B. 0000-0001-8846-7147","orcid":"https://orcid.org/0000-0001-8846-7147","contributorId":34252,"corporation":false,"usgs":false,"family":"Jackson","given":"Robert","email":"","middleInitial":"B.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":471556,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70042464,"text":"fs20123033 - 2012 - Groundwater quality in the Antelope Valley, California","interactions":[],"lastModifiedDate":"2013-01-09T15:05:38","indexId":"fs20123033","displayToPublicDate":"2013-01-09T00:00:00","publicationYear":"2012","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":"2012-3033","title":"Groundwater quality in the Antelope Valley, California","docAbstract":"Groundwater provides more than 40 percent of California’s drinking water. 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 groundwater quality and increases public access to groundwater-quality information. Antelope Valley is one of the study areas being evaluated. The Antelope study area is approximately 1,600 square miles (4,144 square kilometers) and includes the Antelope Valley groundwater basin (California Department of Water Resources, 2003). Antelope Valley has an arid climate and is part of the Mojave Desert. Average annual rainfall is about 6 inches (15 centimeters). The study area has internal drainage, with runoff from the surrounding mountains draining towards dry lakebeds in the lower parts of the valley. Land use in the study area is approximately 68 percent (%) natural (mostly shrubland and grassland), 24% agricultural, and 8% urban. The primary crops are pasture and hay. The largest urban areas are the cities of Palmdale and Lancaster (2010 populations of 152,000 and 156,000, respectively). Groundwater in this basin is used for public and domestic water supply and for irrigation. The main water-bearing units are gravel, sand, silt, and clay derived from surrounding mountains. The primary aquifers in Antelope Valley are defined as those parts of the aquifers corresponding to the perforated intervals of wells listed in the California Department of Public Health database. Public-supply wells in Antelope Valley are completed to depths between 360 and 700 feet (110 to 213 meters), consist of solid casing from the land surface to a depth of 180 to 350 feet (55 to 107 meters), and are screened or perforated below the solid casing. Recharge to the groundwater system is primarily runoff from the surrounding mountains, and by direct infiltration of irrigation and sewer and septic systems. The primary sources of discharge are pumping wells and evapotranspiration near the dry lakebeds.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123033","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board. This report has related reports. Please see: SIR 2012-5040, FS 2012-3032, FS 2012-3034, FS 2012-3035, FS 2012-3036, FS 2012-3098.","usgsCitation":"Dawson, B.J., and Belitz, K., 2012, Groundwater quality in the Antelope Valley, California: U.S. Geological Survey Fact Sheet 2012-3033, Report: 4 p.; Related Reports: SIR 2012-5040, FS 2012-3032, FS 2012-3034, FS 2012-3035, FS 2012-3036, FS 2012-3098, https://doi.org/10.3133/fs20123033.","productDescription":"Report: 4 p.; Related Reports: SIR 2012-5040, FS 2012-3032, FS 2012-3034, FS 2012-3035, FS 2012-3036, FS 2012-3098","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":265445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3033.jpg"},{"id":265437,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3033/"},{"id":265438,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3033/pdf/fs20123033.pdf"},{"id":265439,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/sir/2012/5040/"},{"id":265440,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3032"},{"id":265441,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3034"},{"id":265442,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3035"},{"id":265443,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3036"},{"id":265444,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3098"}],"country":"United States","state":"California","otherGeospatial":"Antelope Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.75,34.25 ], [ -118.75,35.25 ], [ -117.5,35.25 ], [ -117.5,34.25 ], [ -118.75,34.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ee9170e4b0160a2d0ee32f","contributors":{"authors":[{"text":"Dawson, Barbara J. Milby 0000-0002-0209-8158","orcid":"https://orcid.org/0000-0002-0209-8158","contributorId":57334,"corporation":false,"usgs":true,"family":"Dawson","given":"Barbara","email":"","middleInitial":"J. Milby","affiliations":[],"preferred":false,"id":471594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","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}],"preferred":true,"id":471593,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042465,"text":"fs20123034 - 2012 - Groundwater quality in the Colorado River basins, California","interactions":[],"lastModifiedDate":"2013-01-09T15:11:28","indexId":"fs20123034","displayToPublicDate":"2013-01-09T00:00:00","publicationYear":"2012","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":"2012-3034","title":"Groundwater quality in the Colorado River basins, California","docAbstract":"Groundwater provides more than 40 percent of California’s drinking water. 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 groundwater quality and increases public access to groundwater-quality information. Four groundwater basins along the Colorado River make up one of the study areas being evaluated. The Colorado River study area is approximately 884 square miles (2,290 square kilometers) and includes the Needles, Palo Verde Mesa, Palo Verde Valley, and Yuma groundwater basins (California Department of Water Resources, 2003). The Colorado River study area has an arid climate and is part of the Sonoran Desert. Average annual rainfall is about 3 inches (8 centimeters). Land use in the study area is approximately 47 percent (%) natural (mostly shrubland), 47% agricultural, and 6% urban. The primary crops are pasture and hay. The largest urban area is the city of Blythe (2010 population of 21,000). Groundwater in these basins is used for public and domestic water supply and for irrigation. The main water-bearing units are gravel, sand, silt, and clay deposited by the Colorado River or derived from surrounding mountains. The primary aquifers in the Colorado River study area are defined as those parts of the aquifers corresponding to the perforated intervals of wells listed in the California Department of Public Health database. Public-supply wells in the Colorado River basins are completed to depths between 230 and 460 feet (70 to 140 meters), consist of solid casing from the land surface to a depth of 130 of 390 feet (39 to 119 meters), and are screened or perforated below the solid casing. The main source of recharge to the groundwater systems in the Needles, Palo Verde Mesa, and Palo Verde Valley basins is the Colorado River; in the Yuma basin, the main source of recharge is from subsurface flow from the groundwater basins to the west. Groundwater discharge is primarily to pumping wells, evapotranspiration, and, locally, to the Colorado River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123034","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board. This report has related reports. Please see: SIR 2012-5040, FS 2012-3032, FS 2012-3033, FS 2012-3035, FS 2012-3036, FS 2012-3098.","usgsCitation":"Dawson, B.J., and Belitz, K., 2012, Groundwater quality in the Colorado River basins, California: U.S. Geological Survey Fact Sheet 2012-3034, Report: 4 p.; Related Reports: SIR 2012-5040, FS 2012-3032, FS 2012-3033, FS 2012-3035, FS 2012-3036, FS 2012-3098, https://doi.org/10.3133/fs20123034.","productDescription":"Report: 4 p.; Related Reports: SIR 2012-5040, FS 2012-3032, FS 2012-3033, FS 2012-3035, FS 2012-3036, FS 2012-3098","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":265454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3034.jpg"},{"id":265448,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/sir/2012/5040/"},{"id":265449,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3032"},{"id":265450,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3033"},{"id":265451,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3035"},{"id":265452,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3036"},{"id":265453,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3098"},{"id":265446,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3034/"},{"id":265447,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3034/pdf/fs20123034.pdf"}],"country":"United States","state":"Arizona;California","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.933333,33.008333 ], [ -114.933333,35.054167 ], [ -113.916667,35.054167 ], [ -113.916667,33.008333 ], [ -114.933333,33.008333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ee9170e4b0160a2d0ee333","contributors":{"authors":[{"text":"Dawson, Barbara J. Milby 0000-0002-0209-8158","orcid":"https://orcid.org/0000-0002-0209-8158","contributorId":57334,"corporation":false,"usgs":true,"family":"Dawson","given":"Barbara","email":"","middleInitial":"J. Milby","affiliations":[],"preferred":false,"id":471596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":471595,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042466,"text":"fs20123035 - 2012 - Groundwater quality in the Indian Wells Valley, California","interactions":[],"lastModifiedDate":"2013-01-09T15:11:56","indexId":"fs20123035","displayToPublicDate":"2013-01-09T00:00:00","publicationYear":"2012","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":"2012-3035","title":"Groundwater quality in the Indian Wells Valley, California","docAbstract":"Groundwater provides more than 40 percent of California’s drinking water. 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 groundwater quality and increases public access to groundwater-quality information. Indian Wells Valley is one of the study areas being evaluated. The Indian Wells study area is approximately 600 square miles (1,554 square kilometers) and includes the Indian Wells Valley groundwater basin (California Department of Water Resources, 2003). Indian Wells Valley has an arid climate and is part of the Mojave Desert. Average annual rainfall is about 6 inches (15 centimeters). The study area has internal drainage, with runoff from the surrounding mountains draining towards dry lake beds in the lower parts of the valley. Land use in the study area is approximately 97.0 percent (%) natural, 0.4% agricultural, and 2.6% urban. The primary natural land cover is shrubland. The largest urban area is the city of Ridgecrest (2010 population of 28,000). Groundwater in this basin is used for public and domestic water supply and for irrigation. The main water-bearing units are gravel, sand, silt, and clay derived from the Sierra Nevada to the west and from the other surrounding mountains. Recharge to the groundwater system is primarily runoff from the Sierra Nevada and to the west and from the other surrounding mountains. Recharge to the groundwater system is primarily runoff from the Sierra Nevada and direct infiltration from irrigation and septic systems. The primary sources of discharge are pumping wells and evapotranspiration near the dry lakebeds. The primary aquifers in the Indian Wells study area are defined as those parts of the aquifers corresponding to the perforated intervals of wells listed in the California Department of Public Health database. Public-supply wells in Indian Wells Valley are completed to depths between 240 and 800 feet (73 to 244 meters), consist of solid casing from the land surface to a depth of 180 to 260 feet (55 to 79 meters), and are screened or perforated below the solid casing.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123035","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board. This report has related reports. Please see: SIR 2012-5040, FS 2012-3032, FS 2012-3033, FS 2012-3034, FS 2012-3036, FS 2012-3098.","usgsCitation":"Dawson, B.J., and Belitz, K., 2012, Groundwater quality in the Indian Wells Valley, California: U.S. Geological Survey Fact Sheet 2012-3035, Report: 4 p.; Related Reports: SIR 2012-5040, FS 2012-3032, FS 2012-3033, FS 2012-3034, FS 2012-3036, FS 2012-3098, https://doi.org/10.3133/fs20123035.","productDescription":"Report: 4 p.; Related Reports: SIR 2012-5040, FS 2012-3032, FS 2012-3033, FS 2012-3034, FS 2012-3036, FS 2012-3098","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":265463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3035.jpg"},{"id":265457,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/sir/2012/5040/"},{"id":265458,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3032"},{"id":265459,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3033"},{"id":265460,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3034"},{"id":265461,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3036"},{"id":265462,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3098"},{"id":265455,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3035/"},{"id":265456,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3035/pdf/fs20123035.pdf"}],"country":"United States","state":"California","otherGeospatial":"Indian Wells Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.25,35.25 ], [ -118.25,36.0 ], [ -117.25,36.0 ], [ -117.25,35.25 ], [ -118.25,35.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ee9171e4b0160a2d0ee337","contributors":{"authors":[{"text":"Dawson, Barbara J. 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Milby","affiliations":[],"preferred":false,"id":471598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471597,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042468,"text":"sir20125040 - 2012 - Status of groundwater quality in the California Desert Region, 2006-2008: California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2013-01-09T15:13:55","indexId":"sir20125040","displayToPublicDate":"2013-01-09T00:00:00","publicationYear":"2012","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":"2012-5040","title":"Status of groundwater quality in the California Desert Region, 2006-2008: California GAMA Priority Basin Project","docAbstract":"Groundwater quality in six areas in the California Desert Region (Owens, Antelope, Mojave, Coachella, Colorado River, and Indian Wells) was investigated as part of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basin Project is being conducted by the California State Water Resources Control Board in collaboration with the U.S. Geological Survey (USGS) and the Lawrence Livermore National Laboratory. The six Desert studies were designed to provide a spatially unbiased assessment of the quality of untreated groundwater in parts of the Desert and the Basin and Range hydrogeologic provinces, as well as a statistically consistent basis for comparing groundwater quality to other areas in California and across the Nation. Samples were collected by the USGS from September 2006 through April 2008 from 253 wells in Imperial, Inyo, Kern, Los Angeles, Mono, Riverside, and San Bernardino Counties. Two-hundred wells were selected using a spatially distributed, randomized grid-based method to provide a spatially unbiased representation of the study areas (grid wells), and fifty-three wells were sampled to provide additional insight into groundwater conditions (additional wells). The status of the current quality of the groundwater resource was assessed based on data from samples analyzed for volatile organic compounds (VOCs), pesticides, and inorganic constituents such as major ions and trace elements. Water-quality data from the California Department of Public Health (CDPH) database also were incorporated in the assessment. The status assessment is intended to characterize the quality of untreated groundwater resources within the primary aquifer systems of the Desert Region, not the treated drinking water delivered to consumers by water purveyors. The primary aquifer systems (hereinafter, primary aquifers) in the six Desert areas are defined as that part of the aquifer corresponding to the perforation intervals of wells listed in the CDPH database. Relative-concentrations (sample concentration divided by the benchmark concentration) were used as the primary metric for evaluating groundwater quality for those constituents that have Federal and (or) California benchmarks. A relative-concentration (RC) greater than (>) 1.0 indicates a concentration above a benchmark, and an RC less than or equal to (≤) 1.0 indicates a concentration equal to or below a benchmark. Organic and special-interest constituent RCs were classified as “low” (RC ≤ 0.1), “moderate” (0.1 < RC ≤ 1.0), or “high” (RC > 1.0). Inorganic constituent RCs were classified as “low” (RC ≤ 0.5), “moderate” (0.5 < RC ≤ 1.0), or “high” (RC > 1.0). A lower threshold value RC was used to distinguish between low and moderate RCs for organic constituents because these constituents are generally less prevalent and have smaller RCs than inorganic constituents. Aquifer-scale proportion was used as the primary metric for evaluating regional-scale groundwater quality. High aquifer-scale proportion was defined as the percentage of the area of the primary aquifers with an RC greater than 1.0 for a particular constituent or class of constituents; percentage is based on an areal rather than a volumetric basis. Moderate and low aquifer-scale proportions were defined as the percentage of the primary aquifers with moderate and low RCs, respectively. Two statistical approaches—grid-based and spatially weighted—were used to evaluate aquifer-scale proportions for individual constituents and classes of constituents. Grid-based and spatially weighted estimates were comparable in the Desert Region (within 90 percent confidence intervals). The status assessment determined that one or more inorganic constituents with health-based benchmarks had high RCs in 35.4 percent of the Desert Region’s primary aquifers, moderate RCs in 27.4 percent, and low RCs in 37.2 percent. The inorganic constituents with health-based benchmarks having the largest high aquifer-scale proportions were arsenic (17.8 percent), boron (11.4 percent), fluoride (8.9 percent), gross-alpha radioactivity (6.6 percent), molybdenum (5.7 percent), strontium (3.7 percent), vanadium (3.6 percent), uranium (3.2 percent), and perchlorate (2.4 percent). Inorganic constituents with non-health-based benchmarks were also detected at high RCs in 18.6 percent and at moderate RCs in 16.0 percent of the Desert Region’s primary aquifers. In contrast, organic constituents had high RCs in only 0.3 percent of the Desert Region’s primary aquifers, moderate in 2.0 percent, low in 48.0 percent, and were not detected in 49.7 percent of the primary aquifers in the Desert Region. Of 149 organic constituents analyzed for all six study areas, 42 constituents were detected. Six organic constituents, carbon tetrachloride, chloroform, 1,2-dichloropropane, dieldrin, 1,2-dichloroethane, and tetrachloroethene, were found at moderate RCs in one or more of the grid wells. One constituent, N-nitrosodimethylamine, a special-interest VOC, was detected at a high RC in one well. Thirty-nine organic constituents were detected only at low concentrations. Three organic constituents were frequently detected (in more than 10 percent of samples from grid wells): chloroform, simazine, and deethylatrazine.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125040","collaboration":"Prepared in cooperation with the California State Water Resources Control Board. A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program. This report has related reports. Please see: FS 2012-3032, FS 2012-3033, FS 2012-3034, FS 2012-3035, FS 2012-3036, FS 2012-3098.","usgsCitation":"Dawson, B.J., and Belitz, K., 2012, Status of groundwater quality in the California Desert Region, 2006-2008: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2012-5040, Report: viii, 110 p.; Related Reports: FS 2012-3032, FS 2012-3033, FS 2012-3034, FS 2012-3035, FS 2012-3036, FS 2012-3098, https://doi.org/10.3133/sir20125040.","productDescription":"Report: viii, 110 p.; Related Reports: FS 2012-3032, FS 2012-3033, FS 2012-3034, FS 2012-3035, FS 2012-3036, FS 2012-3098","numberOfPages":"122","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":265481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5040.jpg"},{"id":265475,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3032"},{"id":265476,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3033"},{"id":265478,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3036"},{"id":265477,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3035"},{"id":265479,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3034"},{"id":265480,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3098"},{"id":265473,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5040/"},{"id":265474,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5040/pdf/sir20125040.pdf"}],"projection":"Albers Equal Area Conic Projection","country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.0,32.5 ], [ -121.0,38.0 ], [ -114.0,38.0 ], [ -114.0,32.5 ], [ -121.0,32.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ee9176e4b0160a2d0ee347","contributors":{"authors":[{"text":"Dawson, Barbara J. Milby 0000-0002-0209-8158","orcid":"https://orcid.org/0000-0002-0209-8158","contributorId":57334,"corporation":false,"usgs":true,"family":"Dawson","given":"Barbara","email":"","middleInitial":"J. Milby","affiliations":[],"preferred":false,"id":471602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":471601,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042491,"text":"ofr20121210 - 2012 - 2008 Joint United States-Canadian program to explore the limits of the Extended Continental Shelf aboard the U.S. Coast Guard cutter Healy--Cruise HLY0806","interactions":[],"lastModifiedDate":"2013-01-09T17:36:19","indexId":"ofr20121210","displayToPublicDate":"2013-01-09T00:00:00","publicationYear":"2012","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":"2012-1210","title":"2008 Joint United States-Canadian program to explore the limits of the Extended Continental Shelf aboard the U.S. Coast Guard cutter Healy--Cruise HLY0806","docAbstract":"In September 2008, the U.S. Geological Survey (USGS), in cooperation with Natural Resources Canada, Geological Survey of Canada (GSC), conducted bathymetric and geophysical surveys in the Arctic Beaufort Sea aboard the U.S. Coast Guard cutter USCGC Healy. The principal objective of this mission to the high Arctic was to acquire data in support of delineation of the outer limits of the U.S. and Canadian Extended Continental Shelf (ECS) in the Arctic Ocean in accordance with the provisions of Article 76 of the Law of the Sea Convention.\n\nThe Healy was accompanied by the Canadian Coast Guard icebreaker Louis S. St- Laurent. The science parties on the two vessels consisted principally of staff from the USGS (Healy), and the GSC and the Canadian Hydrographic Service (Louis). The crew included marine mammal and Native-community observers, ice observers, and biologists conducting research of opportunity in the Arctic Ocean.\n\nThe joint survey proved an unqualified success. The Healy collected 5,528 km of swath (multibeam) bathymetry (38,806 km2) and CHIRP subbottom profile data, with accompanying marine gravity measurements. The Louis acquired 2,817 km of multichannel seismic (airgun) deep-penetration reflection-profile data along 12 continuous lines, as well as 35 sonobuoy refraction stations and accompanying single-beam bathymetry. The coordinated efforts of the two vessels resulted in seismic-reflection profile data of much higher quality and continuity than if the data had been acquired with a single vessel alone. Equipment failure rate of the seismic equipment gear aboard the Louis was greatly improved with the advantage of having a leading icebreaker. When ice conditions proved too severe to deploy the seismic system, the Louis led the Healy, resulting in much improved quality of the swath bathymetry and CHIRP sub-bottom data in comparison with data collected by the Healy in the lead or working alone. Ancillary science objectives, including ice observations, deployment of ice-monitoring buoys and water-column sampling for biologic (phytoplankton) studies, were also successfully accomplished.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121210","usgsCitation":"Childs, J.R., Triezenberg, P., and Danforth, W.W., 2012, 2008 Joint United States-Canadian program to explore the limits of the Extended Continental Shelf aboard the U.S. Coast Guard cutter Healy--Cruise HLY0806: U.S. Geological Survey Open-File Report 2012-1210, iii, 15 p.; col. ill.; maps (col.); Appendices: A-G, https://doi.org/10.3133/ofr20121210.","productDescription":"iii, 15 p.; col. ill.; maps (col.); Appendices: A-G","startPage":"i","endPage":"15","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":265496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1210.gif"},{"id":265494,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1210/of2012-1210_text.pdf"},{"id":265495,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1210/appendixes"},{"id":265493,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1210/"}],"otherGeospatial":"Beaufort Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -165.0,70.0 ], [ -165.0,85.0 ], [ -120.0,85.0 ], [ -120.0,70.0 ], [ -165.0,70.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4924e4b0b290850eee9d","contributors":{"authors":[{"text":"Childs, Jonathan R. jchilds@usgs.gov","contributorId":3155,"corporation":false,"usgs":true,"family":"Childs","given":"Jonathan","email":"jchilds@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":471636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Triezenberg, Peter J.","contributorId":32625,"corporation":false,"usgs":true,"family":"Triezenberg","given":"Peter J.","affiliations":[],"preferred":false,"id":471638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danforth, William W. 0000-0002-6382-9487 bdanforth@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-9487","contributorId":3292,"corporation":false,"usgs":true,"family":"Danforth","given":"William","email":"bdanforth@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":471637,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042456,"text":"fs20123036 - 2012 - Groundwater quality in the Mojave area, California","interactions":[],"lastModifiedDate":"2018-06-08T12:36:04","indexId":"fs20123036","displayToPublicDate":"2013-01-09T00:00:00","publicationYear":"2012","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":"2012-3036","title":"Groundwater quality in the Mojave area, California","docAbstract":"Groundwater provides more than 40 percent of California’s drinking water. 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 groundwater quality and increases public access to groundwater-quality information. Four groundwater basins along the Mojave River make up one of the study areas being evaluated. The Mojave study area is approximately 1,500 square miles (3,885 square kilometers) and includes four contiguous groundwater basins: Upper, Middle, and Lower Mojave River Groundwater Basins, and the El Mirage Valley (California Department of Water Resources, 2003). The Mojave study area has an arid climate, and is part of the Mojave Desert. Average annual rainfall is about 6 inches (15 centimeters). Land use in the study area is approximately 82 percent (%) natural (mostly shrubland), 4% agricultural, and 14% urban. The primary crops are pasture and hay. The largest urban areas are the cities of Victorville, Hesperia, and Apple Valley (2010 populations of 116,000, 90,000 and 69,000, respectively). Groundwater in these basins is used for public and domestic water supply and for irrigation. The main water-bearing units are gravel, sand, silt, and clay derived from surrounding mountains. The primary aquifers in the Mojave study area are defined as those parts of the aquifers corresponding to the perforated intervals of wells listed in the California Department of Public Health database. Public-supply wells in the Mojave study area are completed to depths between 200 and 600 feet (18 to 61 meters), consist of solid casing from the land surface to a depth of 130 to 420 feet (40 to 128 meters), and are screened or perforated below the solid casing. Recharge to the groundwater system is primarily runoff from the mountains to the south, mostly through the Mojave River channel. The primary sources of discharge are pumping wells and evapotranspiration.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123036","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board","usgsCitation":"Dawson, B.J., and Belitz, K., 2012, Groundwater quality in the Mojave area, California: U.S. Geological Survey Fact Sheet 2012-3036, 4 p., https://doi.org/10.3133/fs20123036.","productDescription":"4 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":265492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3036.jpg"},{"id":265486,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/sir/2012/5040","text":"SIR 2012-5040"},{"id":265487,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3032","text":"FS 2012-3032"},{"id":265488,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3033","text":"FS 2012-3033"},{"id":265484,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3036/"},{"id":265485,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3036/pdf/fs20123036.pdf"},{"id":265489,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3034","text":"FS 2012-3034"},{"id":265490,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3035","text":"FS 2012-3035"},{"id":265491,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3098","text":"FS 2012-3098"}],"country":"United States","state":"California","otherGeospatial":"Mojave","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.75,34.25 ], [ -117.75,35.25 ], [ -116.25,35.25 ], [ -116.25,34.25 ], [ -117.75,34.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ee9173e4b0160a2d0ee33b","contributors":{"authors":[{"text":"Dawson, Barbara J. Milby 0000-0002-0209-8158","orcid":"https://orcid.org/0000-0002-0209-8158","contributorId":57334,"corporation":false,"usgs":true,"family":"Dawson","given":"Barbara","email":"","middleInitial":"J. Milby","affiliations":[],"preferred":false,"id":471584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471583,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042467,"text":"fs20123098 - 2012 - Groundwater quality in Coachella Valley, California","interactions":[],"lastModifiedDate":"2013-01-09T15:12:53","indexId":"fs20123098","displayToPublicDate":"2013-01-09T00:00:00","publicationYear":"2012","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":"2012-3098","title":"Groundwater quality in Coachella Valley, California","docAbstract":"Groundwater provides more than 40 percent of California’s drinking water. 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 groundwater quality and increases public access to groundwater-quality information. Coachella Valley is one of the study areas being evaluated. The Coachella study area is approximately 820 square miles (2,124 square kilometers) and includes the Coachella Valley groundwater basin (California Department of Water Resources, 2003). Coachella Valley has an arid climate, with average annual rainfall of about 6 inches (15 centimeters). The runoff from the surrounding mountains drains to rivers that flow east and south out of the study area to the Salton Sea. Land use in the study area is approximately 67 percent (%) natural, 21% agricultural, and 12% urban. The primary natural land cover is shrubland. The largest urban areas are the cities of Indio and Palm Springs (2010 populations of 76,000 and 44,000, respectively). Groundwater in this basin is used for public and domestic water supply and for irrigation. The main water-bearing units are gravel, sand, silt, and clay derived from surrounding mountains. The primary aquifers in Coachella Valley are defined as those parts of the aquifers corresponding to the perforated intervals of wells listed in the California Department of Public Health database. Public-supply wells in Coachella Valley are completed to depths between 490 and 900 feet (149 to 274 meters), consist of solid casing from the land surface to a depth of 260 to 510 feet (79 to 155 meters), and are screened or perforated below the solid casing. Recharge to the groundwater system is primarily runoff from the surrounding mountains, and by direct infiltration of irrigation. The primary sources of discharge are pumping wells, evapotranspiration, and underflow to the Salton Sea and Imperial Valley areas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123098","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board. This report has related reports. Please see: SIR 2012-5040, FS 2012-3032, FS 2012-3033, FS 2012-3034, FS 2012-3035, FS 2012-3036.","usgsCitation":"Dawson, B.J., and Belitz, K., 2012, Groundwater quality in Coachella Valley, California: U.S. Geological Survey Fact Sheet 2012-3098, Report: 4 p.; Related Reports: SIR 2012-5040, FS 2012-3032, FS 2012-3033, FS 2012-3034, FS 2012-3035, FS 2012-3036, https://doi.org/10.3133/fs20123098.","productDescription":"Report: 4 p.; Related Reports: SIR 2012-5040, FS 2012-3032, FS 2012-3033, FS 2012-3034, FS 2012-3035, FS 2012-3036","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":265472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3098.jpg"},{"id":265466,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/sir/2012/5040/"},{"id":265467,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3032"},{"id":265468,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3033"},{"id":265469,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3034"},{"id":265470,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3035"},{"id":265471,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2012/3036"},{"id":265464,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3098/"},{"id":265465,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3098/pdf/fs20123098.pdf"}],"country":"United States","state":"California","otherGeospatial":"Coachella Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.0,33.3 ], [ -117.0,34.1 ], [ -115.75,34.1 ], [ -115.75,33.3 ], [ -117.0,33.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ee916fe4b0160a2d0ee32b","contributors":{"authors":[{"text":"Dawson, Barbara J. Milby 0000-0002-0209-8158","orcid":"https://orcid.org/0000-0002-0209-8158","contributorId":57334,"corporation":false,"usgs":true,"family":"Dawson","given":"Barbara","email":"","middleInitial":"J. Milby","affiliations":[],"preferred":false,"id":471600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471599,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70058771,"text":"70058771 - 2012 - Basins in ARC-continental collisions","interactions":[],"lastModifiedDate":"2014-01-08T14:27:26","indexId":"70058771","displayToPublicDate":"2013-01-08T13:54:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Basins in ARC-continental collisions","docAbstract":"Arc-continent collisions occur commonly in the plate-tectonic cycle and result in rapidly formed and rapidly collapsing orogens, often spanning just 5-15 My. Growth of continental masses through arc-continent collision is widely thought to be a major process governing the structural and geochemical evolution of the continental crust over geologic time. Collisions of intra-oceanic arcs with passive continental margins (a situation in which the arc, on the upper plate, faces the continent) involve a substantially different geometry than collisions of intra-oceanic arcs with active continental margins (a situation requiring more than one convergence zone and in which the arc, on the lower plate, backs into the continent), with variable preservation potential for basins in each case. Substantial differences also occur between trench and forearc evolution in tectonically erosive versus tectonically accreting margins, both before and after collision.
\nWe examine the evolution of trenches, trench-slope basins, forearc basins, intra-arc basins, and backarc basins during arc-continent collision. The preservation potential of trench-slope basins is low; in collision they are rapidly uplifted and eroded, and at erosive margins they are progressively destroyed by subduction erosion. Post-collisional preservation of trench sediment and trench-slope basins is biased toward margins that were tectonically accreting for a substantial length of time before collision. Forearc basins in erosive margins are usually floored by strong lithosphere and may survive collision with a passive margin, sometimes continuing sedimentation throughout collision and orogeny. The low flexural rigidity of intra-arc basins makes them deep and, if preserved, potentially long records of arc and collisional tectonism. Backarc basins, in contrast, are typically subducted and their sediment either lost or preserved only as fragments in melange sequences. A substantial proportion of the sediment derived from collisional orogenesis ends up in the foreland basin that forms as a result of collision, and may be preserved largely undeformed. Compared to continent-continent collisional foreland basins, arc-continent collisional foreland basins are short-lived and may undergo partial inversion after collision as a new, active continental margin forms outboard of the collision zone and the orogen whose load forms the basin collapses in extension.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tectonics of Sedimentary Basins: Recent Advances","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Wiley-Blackwell","publisherLocation":"Hoboken, NJ","doi":"10.1002/9781444347166.ch17","usgsCitation":"Draut, A.E., and Clift, P.D., 2012, Basins in ARC-continental collisions, chap. of Tectonics of Sedimentary Basins: Recent Advances, p. 347-368, https://doi.org/10.1002/9781444347166.ch17.","productDescription":"22 p.","startPage":"347","endPage":"368","numberOfPages":"22","ipdsId":"IP-015773","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":280748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280743,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/9781444347166.ch17"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2012-01-30","publicationStatus":"PW","scienceBaseUri":"53cd4ee6e4b0b290850f25e8","contributors":{"editors":[{"text":"Busby, Cathy","contributorId":113649,"corporation":false,"usgs":true,"family":"Busby","given":"Cathy","email":"","affiliations":[],"preferred":false,"id":509658,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Azor, Antonio","contributorId":113881,"corporation":false,"usgs":true,"family":"Azor","given":"Antonio","email":"","affiliations":[],"preferred":false,"id":509659,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":487373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clift, Peter D.","contributorId":17711,"corporation":false,"usgs":true,"family":"Clift","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487372,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042357,"text":"sir20125269 - 2012 - Sediment transport to and from small impoundments in northeast Kansas, March 2009 through September 2011","interactions":[],"lastModifiedDate":"2013-01-17T11:22:10","indexId":"sir20125269","displayToPublicDate":"2013-01-08T00:00:00","publicationYear":"2012","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":"2012-5269","title":"Sediment transport to and from small impoundments in northeast Kansas, March 2009 through September 2011","docAbstract":"The U.S. Geological Survey, in cooperation with the Kansas Water Office, investigated sediment transport to and from three small impoundments (average surface area of 0.1 to 0.8 square miles) in northeast Kansas during March 2009 through September 2011. Streamgages and continuous turbidity sensors were operated upstream and downstream from Atchison County, Banner Creek, and Centralia Lakes to study the effect of varied watershed characteristics and agricultural practices on sediment transport in small watersheds in northeast Kansas. Atchison County Lake is located in a predominantly agricultural basin of row crops, with wide riparian buffers along streams, a substantial amount of tile drainage, and numerous small impoundments (less than 0.05 square miles; hereafter referred to as “ponds”). Banner Creek Lake is a predominantly grassland basin with numerous small ponds located in the watershed, and wide riparian buffers along streams. Centralia Lake is a predominantly agricultural basin of row crops with few ponds, few riparian buffers along streams, and minimal tile drainage. Upstream from Atchison County, Banner Creek, and Centralia Lakes 24, 38, and 32 percent, respectively, of the total load was transported during less than 0.1 percent (approximately 0.9 days) of the time. Despite less streamflow in 2011, larger sediment loads during that year indicate that not all storm events transport the same amount of sediment; larger, extreme storms during the spring may transport much larger sediment loads in small Kansas watersheds. Annual sediment yields were 360, 400, and 970 tons per square mile per year at Atchison County, Banner, and Centralia Lake watersheds, respectively, which were less than estimated yields for this area of Kansas (between 2,000 and 5,000 tons per square mile per year). Although Centralia and Atchison County Lakes had similar percentages of agricultural land use, mean annual sediment yields upstream from Centralia Lake were about 2.7 times those at Atchison County or Banner Creek Lakes. These data indicate larger yields of sediment from watersheds with row crops and those with fewer small ponds, and smaller yields in watersheds which are primarily grassland, or agricultural with substantial tile drainage and riparian buffers along streams. These results also indicated that a cultivated watershed can produce yields similar to those observed under the assumed reference (or natural) condition. Selected small ponds were studied in the Atchison County Lake watershed to characterize the role of small ponds in sediment trapping. Studied ponds trapped about 8 percent of the sediment upstream from the sediment-sampling site. When these results were extrapolated to the other ponds in the watershed, differences in the extent of these ponds was not the primary factor affecting differences in yields among the three watersheds. However, the selected small ponds were both 45 years old at the time of this study, and have reduced capacity because of being filled in with sediments. Additionally, trapping efficiency of these small ponds decreased over five observed storms, indicating that processes that suspended or resuspended sediments in these shallow ponds, such as wind and waves, affected their trapping efficiencies. While small ponds trapped sediments in small storms, they could be a source of sediment in larger or more closely spaced storm events. Channel slope was similar at all three watersheds, 0.40, 0.46, and 0.31 percent at Atchison County, Banner Creek, and Centralia Lake watersheds, respectively. Other factors, such as increased bank and stream erosion, differences in tile drainage, extent of grassland, or riparian buffers, could be the predominant factors affecting sediment yields from these basins. These results show that reference-like sediment yields may be observed in heavily agricultural watersheds through a combination of field-scale management activities and stream channel protection. When computing loads using published erosion rates obtained by single-point survey methodology, streambank contributions from the main stem of Banner Creek are three times more than the sediment load observed by this study at the sediment sampling site at Banner Creek, 2.6 times more than the sediment load observed by this study at the sediment sampling site at Clear Creek (upstream from Atchison County Lake), and are 22 percent of the load observed by this study at the sediment sampling site at Black Vermillion River above Centralia Lake. Comparisons of study sites to similarly sized urban and urbanizing watersheds in Johnson County, Kansas indicated that sediment yields from the Centralia Lake watershed were similar to those in construction-affected watersheds, while much smaller sediment yields in the Atchison County and Banner Creek watersheds were comparable to stable, heavily urbanized watersheds. Comparisons of study sites to larger watersheds upstream from Tuttle Creek Lake indicate the Black Vermillion River watershed continues to have high sediment yields despite 98 percent of sediment from the Centralia watershed (a headwater of the Black Vermillion River) being trapped in Centralia Lake. Estimated trapping efficiencies for the larger watershed lakes indicated that Banner Creek and Centralia Lakes trapped 98 percent of incoming sediment, whereas Atchison County Lake trapped 72 percent of incoming sediment during the 3-year study period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125269","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Foster, G., Lee, C., and Ziegler, A., 2012, Sediment transport to and from small impoundments in northeast Kansas, March 2009 through September 2011: U.S. Geological Survey Scientific Investigations Report 2012-5269, vi, 38 p., https://doi.org/10.3133/sir20125269.","productDescription":"vi, 38 p.","numberOfPages":"48","onlineOnly":"Y","temporalStart":"2009-03-01","temporalEnd":"2011-09-30","ipdsId":"IP-035289","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":265371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5269.gif"},{"id":265370,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5269/"},{"id":265369,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5269/sir12-5269.pdf"}],"country":"United States","state":"Kansas","county":"Atchison;Brown;Doniphan;Jackson;Jefferson;Marshall;Nemaha;Pottawatomie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.333333,39.366667 ], [ -96.333333,39.8 ], [ -95.25,39.8 ], [ -95.25,39.366667 ], [ -96.333333,39.366667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ed3fe1e4b0438b00db0746","contributors":{"authors":[{"text":"Foster, Guy M. gfoster@usgs.gov","contributorId":3437,"corporation":false,"usgs":true,"family":"Foster","given":"Guy M.","email":"gfoster@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":471375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Casey J. 0000-0002-5753-2038","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":31062,"corporation":false,"usgs":true,"family":"Lee","given":"Casey J.","affiliations":[],"preferred":false,"id":471376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":471374,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042411,"text":"ds734 - 2012 - Quality of surface water in Missouri, water year 2011","interactions":[],"lastModifiedDate":"2016-08-10T11:14:59","indexId":"ds734","displayToPublicDate":"2013-01-07T00:00:00","publicationYear":"2012","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":"734","title":"Quality of surface water in Missouri, water year 2011","docAbstract":"The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, designed and operates a series of monitoring stations on streams throughout Missouri known as the Ambient Water-Quality Monitoring Network. During the 2011 water year (October 1, 2010, through September 30, 2011), data were collected at 75 stations—72 Ambient Water-Quality Monitoring Network stations, 2 U.S. Geological Survey National Stream Quality Accounting Network stations, and 1 spring sampled in cooperation with the U.S. Forest Service. Dissolved oxygen, specific conductance, water temperature, suspended solids, suspended sediment, fecal coliform bacteria, Escherichia coli bacteria, dissolved nitrate plus nitrite, total phosphorus, dissolved and total recoverable lead and zinc, and select pesticide compound summaries are presented for 72 of these stations. The stations primarily have been classified into groups corresponding to the physiography of the State, primary land use, or unique station types. In addition, a summary of hydrologic conditions in the State including peak discharges, monthly mean discharges, and 7-day low flow is presented.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds734","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Barr, M.N., 2012, Quality of surface water in Missouri, water year 2011: U.S. Geological Survey Data Series 734, vi, 22 p., https://doi.org/10.3133/ds734.","productDescription":"vi, 22 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-10-01","temporalEnd":"2011-09-30","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":265365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_734.gif"},{"id":265363,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/734/"},{"id":265364,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/734/ds734.pdf"}],"projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.8,36.0 ], [ -95.8,40.6 ], [ -89.1,40.6 ], [ -89.1,36.0 ], [ -95.8,36.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ebee6ee4b07f1501afcfc0","contributors":{"authors":[{"text":"Barr, Miya N. 0000-0002-9961-9190 mnbarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9961-9190","contributorId":3686,"corporation":false,"usgs":true,"family":"Barr","given":"Miya","email":"mnbarr@usgs.gov","middleInitial":"N.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471488,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70042409,"text":"ds709J - 2012 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Tourmaline mineral district in Afghanistan: Chapter J in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan","interactions":[],"lastModifiedDate":"2013-02-01T11:10:57","indexId":"ds709J","displayToPublicDate":"2013-01-07T00:00:00","publicationYear":"2012","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":"709","chapter":"J","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Tourmaline mineral district in Afghanistan: Chapter J in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, prepared databases for mineral-resource target areas in Afghanistan. The purpose of the databases is to (1) provide useful data to ground-survey crews for use in performing detailed assessments of the areas and (2) provide useful information to private investors who are considering investment in a particular area for development of its natural resources. The set of satellite-image mosaics provided in this Data Series (DS) is one such database. Although airborne digital color-infrared imagery was acquired for parts of Afghanistan in 2006, the image data have radiometric variations that preclude their use in creating a consistent image mosaic for geologic analysis. Consequently, image mosaics were created using ALOS (Advanced Land Observation Satellite; renamed Daichi) satellite images, whose radiometry has been well determined (Saunier, 2007a,b). This part of the DS consists of the locally enhanced ALOS image mosaics for the Tourmaline mineral district, which has tin deposits. ALOS was launched on January 24, 2006, and provides multispectral images from the AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor in blue (420–500 nanometer, nm), green (520–600 nm), red (610–690 nm), and near-infrared (760–890 nm) wavelength bands with an 8-bit dynamic range and a 10-meter (m) ground resolution. The satellite also provides a panchromatic band image from the PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) sensor (520–770 nm) with the same dynamic range but a 2.5-m ground resolution. The image products in this DS incorporate copyrighted data provided by the Japan Aerospace Exploration Agency (©JAXA,2008), but the image processing has altered the original pixel structure and all image values of the JAXA ALOS data, such that original image values cannot be recreated from this DS. As such, the DS products match JAXA criteria for value added products, which are not copyrighted, according to the ALOS end-user license agreement. The selection criteria for the satellite imagery used in our mosaics were images having (1) the highest solar-elevation angles (near summer solstice) and (2) the least cloud, cloud-shadow, and snow cover. The multispectral and panchromatic data were orthorectified with ALOS satellite ephemeris data, a process which is not as accurate as orthorectification using digital elevation models (DEMs); however, the ALOS processing center did not have a precise DEM. As a result, the multispectral and panchromatic image pairs were generally not well registered to the surface and not coregistered well enough to perform resolution enhancement on the multispectral data. For this particular area, PRISM image orthorectification was performed by the Alaska Satellite Facility, applying its photogrammetric software to PRISM stereo images with vertical control points obtained from the digital elevation database produced by the Shuttle Radar Topography Mission (Farr and others, 2007) and horizontal adjustments based on a controlled Landsat image base (Davis, 2006). The 10-m AVNIR multispectral imagery was then coregistered to the orthorectified PRISM images and individual multispectral and panchromatic images were mosaicked into single images of the entire area of interest. The image coregistration was facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band's picture element based on the digital values of all picture elements within a 500-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands). All image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area's local zone (41 for Tourmaline) and the WGS84 datum. The final image mosaics were subdivided into four overlapping tiles or quadrants because of the large size of the target area. The four image tiles (or quadrants) for the Tourmaline area are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (DS 709)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds709J","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey. This report is Chapter J in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan. 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Within the Kharnak-Kanjar study area, three subareas were designated for detailed field investigations (that is, the Koh-e-Katif Passaband, Panjshah-Mullayan, and Sahebdad-Khanjar subareas); these subareas were extracted from the area's image mosaic and are provided as separate embedded geotiff images.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (DS 709)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds709K","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey. 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ALOS was launched on January 24, 2006, and provides multispectral images from the AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor in blue (420–500 nanometer, nm), green (520–600 nm), red (610–690 nm), and near-infrared (760–890 nm) wavelength bands with an 8-bit dynamic range and a 10-meter (m) ground resolution. The satellite also provides a panchromatic band image from the PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) sensor (520–770 nm) with the same dynamic range but a 2.5-m ground resolution. The image products in this DS incorporate copyrighted data provided by the Japan Aerospace Exploration Agency (©JAXA,2008), but the image processing has altered the original pixel structure and all image values of the JAXA ALOS data, such that original image values cannot be recreated from this DS. As such, the DS products match JAXA criteria for value added products, which are not copyrighted, according to the ALOS end-user license agreement. The selection criteria for the satellite imagery used in our mosaics were images having (1) the highest solar-elevation angles (near summer solstice) and (2) the least cloud, cloud-shadow, and snow cover. The multispectral and panchromatic data were orthorectified with ALOS satellite ephemeris data, a process which is not as accurate as orthorectification using digital elevation models (DEMs); however, the ALOS processing center did not have a precise DEM. As a result, the multispectral and panchromatic image pairs were generally not well registered to the surface and not coregistered well enough to perform resolution enhancement on the multispectral data. For this particular area, PRISM image orthorectification was performed by the Alaska Satellite Facility, applying its photogrammetric software to PRISM stereo images with vertical control points obtained from the digital elevation database produced by the Shuttle Radar Topography Mission (Farr and others, 2007) and horizontal adjustments based on a controlled Landsat image base (Davis, 2006). The 10-m AVNIR multispectral imagery was then coregistered to the orthorectified PRISM images and individual multispectral and panchromatic images were mosaicked into single images of the entire area of interest. The image coregistration was facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band’ picture element based on the digital values of all picture elements within a 315-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands). All image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area’ local zone (41 for Dusar-Shaida) and the WGS84 datum. The final image mosaics were subdivided into eight overlapping tiles or quadrants because of the large size of the target area. The eight image tiles (or quadrants) for the Dusar-Shaida area are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image. Within the Dusar-Shaida study area, three subareas were designated for detailed field investigations (that is, the Dahana-Misgaran, Kaftar VMS, and Shaida subareas); these subareas were extracted from the area’ image mosaic and are provided as separate embedded geotiff images.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (DS 709)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds709I","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey. This report is Chapter I in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan. 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The purpose of the databases is to (1) provide useful data to ground-survey crews for use in performing detailed assessments of the areas and (2) provide useful information to private investors who are considering investment in a particular area for development of its natural resources. The set of satellite-image mosaics provided in this Data Series (DS) is one such database. Although airborne digital color-infrared imagery was acquired for parts of Afghanistan in 2006, the image data have radiometric variations that preclude their use in creating a consistent image mosaic for geologic analysis. Consequently, image mosaics were created using ALOS (Advanced Land Observation Satellite; renamed Daichi) satellite images, whose radiometry has been well determined (Saunier, 2007a,b). This part of the DS consists of the locally enhanced ALOS image mosaics for the Kundalyan mineral district, which has porphyry copper and gold deposits. ALOS was launched on January 24, 2006, and provides multispectral images from the AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor in blue (420–500 nanometer, nm), green (520–600 nm), red (610–690 nm), and near-infrared (760–890 nm) wavelength bands with an 8-bit dynamic range and a 10-meter (m) ground resolution. The satellite also provides a panchromatic band image from the PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) sensor (520–770 nm) with the same dynamic range but a 2.5-m ground resolution. The image products in this DS incorporate copyrighted data provided by the Japan Aerospace Exploration Agency (©JAXA,2008), but the image processing has altered the original pixel structure and all image values of the JAXA ALOS data, such that original image values cannot be recreated from this DS. As such, the DS products match JAXA criteria for value added products, which are not copyrighted, according to the ALOS end-user license agreement. The selection criteria for the satellite imagery used in our mosaics were images having (1) the highest solar-elevation angles (near summer solstice) and (2) the least cloud, cloud-shadow, and snow cover. The multispectral and panchromatic data were orthorectified with ALOS satellite ephemeris data, a process which is not as accurate as orthorectification using digital elevation models (DEMs); however, the ALOS processing center did not have a precise DEM. As a result, the multispectral and panchromatic image pairs were generally not well registered to the surface and not coregistered well enough to perform resolution enhancement on the multispectral data. For this particular area, PRISM image orthorectification was performed by the Alaska Satellite Facility, applying its photogrammetric software to PRISM stereo images with vertical control points obtained from the digital elevation database produced by the Shuttle Radar Topography Mission (Farr and others, 2007) and horizontal adjustments based on a controlled Landsat image base (Davis, 2006). The 10-m AVNIR multispectral imagery was then coregistered to the orthorectified PRISM images and individual multispectral and panchromatic images were mosaicked into single images of the entire area of interest. The image coregistration was facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band’s picture element based on the digital values of all picture elements within a 500-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands). All image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area’s local zone (42 for Kundalyan) and the WGS84 datum. The final image mosaics were subdivided into five overlapping tiles or quadrants because of the large size of the target area. The five image tiles (or quadrants) for the Kundalyan area are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image. Within the Kundalyan study area, three subareas were designated for detailed field investigations (that is, the Baghawan-Garangh, Charsu-Ghumbad, and Kunag Skarn subareas); these subareas were extracted from the area’s image mosaic and are provided as separate embedded geotiff images.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (DS 709)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds709H","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey. This report is Chapter H in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan. For more information, see: Data Series 709.","usgsCitation":"Davis, P.A., Cagney, L.E., Arko, S.A., and Harbin, M., 2012, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Kundalyan mineral district in Afghanistan: Chapter H in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan: U.S. Geological Survey Data Series 709, Readme; 3 Maps: 11 x 8.5 inches and 41.22 x 49.43 inches; 16 Image Files; 16 Metadata Files; Shapefiles; DS 709, https://doi.org/10.3133/ds709H.","productDescription":"Readme; 3 Maps: 11 x 8.5 inches and 41.22 x 49.43 inches; 16 Image Files; 16 Metadata Files; Shapefiles; DS 709","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-01-24","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":265330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_709_h.jpg"},{"id":265320,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/h/"},{"id":265321,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/h/1_readme.txt"},{"id":265322,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/h/index_maps/Kundalyan_Area-of-Interest_Index_Map.pdf"},{"id":265323,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/h/index_maps/Kundalyan_Image_Index_Map.pdf"},{"id":265324,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/h/index_maps/Kundalyan_Subarea_Image_Index_Map.pdf"},{"id":265325,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/h/index_maps/index_maps.html"},{"id":265326,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/h/image_files/image_files.html"},{"id":265327,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/h/metadata/metadata.html"},{"id":265328,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/709/h/shapefiles/shapefiles.html"},{"id":265329,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/709/"}],"country":"Afghanistan","otherGeospatial":"Kundalyan Mineral District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 66.0,31.75 ], [ 66.0,33.0 ], [ 67.0,33.0 ], [ 67.0,31.75 ], [ 66.0,31.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ebee6de4b07f1501afcfb8","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":471466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagney, Laura E. 0000-0003-3282-2458 lcagney@usgs.gov","orcid":"https://orcid.org/0000-0003-3282-2458","contributorId":4744,"corporation":false,"usgs":true,"family":"Cagney","given":"Laura","email":"lcagney@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":471467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arko, Scott A.","contributorId":101929,"corporation":false,"usgs":true,"family":"Arko","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harbin, Michelle L.","contributorId":20590,"corporation":false,"usgs":true,"family":"Harbin","given":"Michelle L.","affiliations":[],"preferred":false,"id":471468,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042329,"text":"70042329 - 2012 - Understanding the role of ecohydrological feedbacks in ecosystem state change in drylands","interactions":[],"lastModifiedDate":"2013-01-10T15:47:55","indexId":"70042329","displayToPublicDate":"2013-01-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the role of ecohydrological feedbacks in ecosystem state change in drylands","docAbstract":"Ecohydrological feedbacks are likely to be critical for understanding the mechanisms by which changes in exogenous forces result in ecosystem state change. We propose that in drylands, the dynamics of ecosystem state change are determined by changes in the type (stabilizing vs amplifying) and strength of ecohydrological feedbacks following a change in exogenous forces. Using a selection of five case studies from drylands, we explore the characteristics of ecohydrological feedbacks and resulting dynamics of ecosystem state change. We surmise that stabilizing feedbacks are critical for the provision of plant-essential resources in drylands. Exogenous forces that break these stabilizing feedbacks can alter the state of the system, although such changes are potentially reversible if strong amplifying ecohydrological feedbacks do not develop. The case studies indicate that if amplifying ecohydrological feedbacks do develop, they are typically associated with abiotic processes such as runoff, erosion (by wind and water), and fire. These amplifying ecohydrological feedbacks progressively modify the system in ways that are long-lasting and possibly irreversible on human timescales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecohydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/eco.265","usgsCitation":"Turnbull, L., Wilcox, B., Belnap, J., Ravi, S., D’Odorico, P., Childers, D., Gwenzi, W., Okin, G., Wainwright, J., Caylor, K., and Sankey, T., 2012, Understanding the role of ecohydrological feedbacks in ecosystem state change in drylands: Ecohydrology, v. 5, no. 2, p. 174-183, https://doi.org/10.1002/eco.265.","productDescription":"10 p.","startPage":"174","endPage":"183","numberOfPages":"10","ipdsId":"IP-029337","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":474106,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.265","text":"Publisher Index Page"},{"id":265524,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eco.265"},{"id":265526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"5","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-11-25","publicationStatus":"PW","scienceBaseUri":"53cd7a32e4b0b2908510d537","contributors":{"authors":[{"text":"Turnbull, L.","contributorId":74649,"corporation":false,"usgs":true,"family":"Turnbull","given":"L.","email":"","affiliations":[],"preferred":false,"id":471293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilcox, B.P.","contributorId":83490,"corporation":false,"usgs":true,"family":"Wilcox","given":"B.P.","email":"","affiliations":[],"preferred":false,"id":471294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, J. 0000-0001-7471-2279","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":23872,"corporation":false,"usgs":true,"family":"Belnap","given":"J.","affiliations":[],"preferred":false,"id":471288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ravi, S.","contributorId":45977,"corporation":false,"usgs":true,"family":"Ravi","given":"S.","affiliations":[],"preferred":false,"id":471290,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"D’Odorico, P.","contributorId":56528,"corporation":false,"usgs":true,"family":"D’Odorico","given":"P.","email":"","affiliations":[],"preferred":false,"id":471291,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Childers, D.","contributorId":86654,"corporation":false,"usgs":true,"family":"Childers","given":"D.","email":"","affiliations":[],"preferred":false,"id":471295,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gwenzi, W.","contributorId":43242,"corporation":false,"usgs":true,"family":"Gwenzi","given":"W.","email":"","affiliations":[],"preferred":false,"id":471289,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Okin, G.","contributorId":64963,"corporation":false,"usgs":true,"family":"Okin","given":"G.","affiliations":[],"preferred":false,"id":471292,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wainwright, J.","contributorId":19046,"corporation":false,"usgs":true,"family":"Wainwright","given":"J.","email":"","affiliations":[],"preferred":false,"id":471287,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Caylor, K.K.","contributorId":15820,"corporation":false,"usgs":true,"family":"Caylor","given":"K.K.","email":"","affiliations":[],"preferred":false,"id":471285,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sankey, T.","contributorId":16287,"corporation":false,"usgs":true,"family":"Sankey","given":"T.","email":"","affiliations":[],"preferred":false,"id":471286,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70042374,"text":"sir20125268 - 2012 - Hydrologic and sediment data collected from selected basins at the Fort Leonard Wood Military Reservation, Missouri--2010-11","interactions":[],"lastModifiedDate":"2013-01-06T13:53:14","indexId":"sir20125268","displayToPublicDate":"2013-01-06T00:00:00","publicationYear":"2012","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":"2012-5268","title":"Hydrologic and sediment data collected from selected basins at the Fort Leonard Wood Military Reservation, Missouri--2010-11","docAbstract":"Commercial and residential development within a basin often increases the amount of impervious area, which changes the natural hydrologic response to storm events by increasing runoff. Land development and disturbance combined with increased runoff from impervious areas potentially can increase sediment transport. At the Fort Leonard Wood Military Reservation in Missouri, there has been an increase in population and construction activities in the recent past, which has initiated an assessment of the hydrology in selected basins. From April 2010 to December 2011, the U.S. Geological Survey, in cooperation with the U.S. Army Maneuver Support Center at the Fort Leonard Wood Military Reservation, collected hydrologic and suspended-sediment concentration data in six basins at Fort Leonard Wood. Storm-sediment concentration, load, and yield varied from basin to basin and from storm to storm. In general, storm-sediment yield, in pounds per square mile per minute, was greatest from Ballard Hollow tributary (06928410) and Dry Creek (06930250), and monthly storm-sediment yield, in tons per square mile, estimates were largest in Ballard Hollow tributary (06928410), East Gate Hollow tributary (06930058), and Dry Creek (06930250). Sediment samples, collected at nine sites, primarily were collected using automatic samplers and augmented with equal-width-increment cross-sectional samples and manually collected samples when necessary. Storm-sediment load and yield were computed from discharge and suspended-sediment concentration data. Monthly storm-sediment yields also were estimated from the total storm discharge and the mean suspended-sediment concentration at each given site.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125268","isbn":"978-1-4113-3531-8","collaboration":"Prepared in cooperation with U.S. Army Maneuver Support Center at the Fort Leonard Wood Military Reservation","usgsCitation":"Richards, J.M., Rydlund, P.H., and Barr, M.N., 2012, Hydrologic and sediment data collected from selected basins at the Fort Leonard Wood Military Reservation, Missouri--2010-11: U.S. Geological Survey Scientific Investigations Report 2012-5268, vi, 23 p., https://doi.org/10.3133/sir20125268.","productDescription":"vi, 23 p.","numberOfPages":"36","additionalOnlineFiles":"N","temporalStart":"2010-04-01","temporalEnd":"2011-12-31","ipdsId":"IP-039458","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":265315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5268.gif"},{"id":265313,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5268/"},{"id":265314,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5268/sir12-5268.pdf"}],"projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Missouri","county":"Pulaski","otherGeospatial":"Fort Leonard Wood","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.25,37.583333 ], [ -92.25,37.833333 ], [ -92.0,37.833333 ], [ -92.0,37.583333 ], [ -92.25,37.583333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ea9ceee4b02dd6076fad8b","contributors":{"authors":[{"text":"Richards, Joseph M. 0000-0002-9822-2706 richards@usgs.gov","orcid":"https://orcid.org/0000-0002-9822-2706","contributorId":2370,"corporation":false,"usgs":true,"family":"Richards","given":"Joseph","email":"richards@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rydlund, Paul H. Jr. 0000-0001-9461-9944 prydlund@usgs.gov","orcid":"https://orcid.org/0000-0001-9461-9944","contributorId":3840,"corporation":false,"usgs":true,"family":"Rydlund","given":"Paul","suffix":"Jr.","email":"prydlund@usgs.gov","middleInitial":"H.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":471405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barr, Miya N. 0000-0002-9961-9190 mnbarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9961-9190","contributorId":3686,"corporation":false,"usgs":true,"family":"Barr","given":"Miya","email":"mnbarr@usgs.gov","middleInitial":"N.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471404,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042379,"text":"fs20123138 - 2012 - Assessing the vulnerability of public-supply wells to contamination: Rio Grande aquifer system in Albuquerque, New Mexico","interactions":[],"lastModifiedDate":"2013-01-06T12:14:53","indexId":"fs20123138","displayToPublicDate":"2013-01-06T00:00:00","publicationYear":"2012","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":"2012-3138","title":"Assessing the vulnerability of public-supply wells to contamination: Rio Grande aquifer system in Albuquerque, New Mexico","docAbstract":"This fact sheet highlights findings from the vulnerability study of a public-supply well in Albuquerque, New Mexico (hereafter referred to as “the study well”). The study well produces about 3,000 gallons of water per minute from the Rio Grande aquifer system. Water samples were collected at the study well, at two other nearby public-supply wells, and at monitoring wells installed in or near the simulated zone of contribution to the study well. Untreated water samples from the study well contained arsenic at concentrations exceeding the Maximum Contaminant Level (MCL) of 10 micrograms per liter (µg/L) established by the U.S. Environmental Protection Agency for drinking water. Volatile organic compounds (VOCs) and nitrate also were detected, although at concentrations at least an order of magnitude less than established drinking-water standards, where such standards exist. Overall, study findings point to four primary influences on the movement and (or) fate of contaminants and the vulnerability of the public-supply well in Albuquerque: (1) groundwater age (how long ago water entered, or recharged, the aquifer), (2) groundwater development (introduction of manmade recharge and discharge sources), (3) natural geochemical conditions of the aquifer, and (4) seasonal pumping stresses. Concentrations of the isotope carbon-14 indicate that groundwater from most sampled wells in the local study area is predominantly water that entered, or recharged, the aquifer more than 6,000 years ago. However, the additional presence of the age tracer tritium in several groundwater samples at concentrations above 0.3 tritium units indicates that young (post-1950) recharge is reaching the aquifer across broad areas beneath Albuquerque. This young recharge is mixing with the thousands-of-years-old water, is migrating to depths as great as 245 feet below the water table, and is traveling to some (but not all) of the public-supply wells sampled. Most groundwater samples containing a fraction of young water also contain manmade VOCs, including chloroform (a byproduct of drinking-water chlorination), which indicates that the source of young recharge is, at least in part, infiltration of chlorinated municipal-supply water from leaking waterlines and sewerlines or from turf watering. Other likely manmade, urban recharge sources are seepage from constructed ponds and unlined portions of a stormwater diversion channel. A regional-scale computer-model simulation of groundwater flow and transport to the public-supply well shows that manmade sources of recharge and discharge that were added after about 1930 have greatly altered directions of groundwater flow near Albuquerque and have caused water levels to decline by as much as 120 feet. Local-scale simulations show that seasonal changes in the pumping schedule of the study well affect the age and quality of water produced by the well. Increased pumping during the summer causes significant volumes of water to flow downward from the shallow to the intermediate zones of the aquifer, causing a higher fraction of young water to be produced by the well in the summer than in the winter months and a corresponding increase in VOC detections in the summer relative to the winter. During the winter when the study-well pump is idle for several hours each day, old, high-arsenic water from the deep zone of the aquifer travels up the wellbore and exits into the intermediate zone of the aquifer. When the pump is activated in the winter (for a relatively short time each day), some of the leaked, high-arsenic water is recaptured by the well. This results in a higher arsenic concentration (commonly more than 12 µg/L) in water produced in the winter than in the summer, and a smaller fraction of young water being produced by the well in the winter than in the summer (6 percent in the winter, compared to 11 percent in the summer). Knowledge of the vertical flow direction (both natural and pumping-enhanced) in the vicinity of a long-screened well, coupled with understanding of variations in contaminant concentrations with depth in the aquifer, can help water managers predict the positive or negative effect that wellbore flow will have on water quality and can lead to development of strategies to mitigate contamination (such as changes in pumping schedules or development of devices to inhibit wellbore flow when the pump is off).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123138","collaboration":"National Water-Quality Assessment, Transport of Anthropogenic and Natural Contaminants (TANC) to Public-Supply Wells","usgsCitation":"Jagucki, M.L., Bexfield, L.M., Heywood, C.E., and Eberts, S., 2012, Assessing the vulnerability of public-supply wells to contamination: Rio Grande aquifer system in Albuquerque, New Mexico: U.S. Geological Survey Fact Sheet 2012-3138, 6 p., https://doi.org/10.3133/fs20123138.","productDescription":"6 p.","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":265301,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3138/"},{"id":265302,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3138/pdf/fs2012-3138.pdf"},{"id":265303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3138.gif"}],"country":"United States","state":"New Mexico","city":"Albuquerque","otherGeospatial":"Rio Grande","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.666667,35.041667 ], [ -106.666667,35.1 ], [ -106.608333,35.1 ], [ -106.608333,35.041667 ], [ -106.666667,35.041667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ea9cebe4b02dd6076fad87","contributors":{"authors":[{"text":"Jagucki, Martha L. 0000-0003-3798-8393 mjagucki@usgs.gov","orcid":"https://orcid.org/0000-0003-3798-8393","contributorId":1794,"corporation":false,"usgs":true,"family":"Jagucki","given":"Martha","email":"mjagucki@usgs.gov","middleInitial":"L.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bexfield, Laura M. 0000-0002-1789-654X bexfield@usgs.gov","orcid":"https://orcid.org/0000-0002-1789-654X","contributorId":1273,"corporation":false,"usgs":true,"family":"Bexfield","given":"Laura","email":"bexfield@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heywood, Charles E. cheywood@usgs.gov","contributorId":2043,"corporation":false,"usgs":true,"family":"Heywood","given":"Charles","email":"cheywood@usgs.gov","middleInitial":"E.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":471423,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}