{"pageNumber":"459","pageRowStart":"11450","pageSize":"25","recordCount":46644,"records":[{"id":70148018,"text":"ds919 - 2015 - Groundwater quality data in 15 GAMA study units: results from the 2006–10 Initial sampling and the 2009–13 resampling of wells, California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2015-09-03T08:44:52","indexId":"ds919","displayToPublicDate":"2015-08-31T19:15:00","publicationYear":"2015","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":"919","title":"Groundwater quality data in 15 GAMA study units: results from the 2006–10 Initial sampling and the 2009–13 resampling of wells, California GAMA Priority Basin Project","docAbstract":"

The Priority Basin Project (PBP) of the Groundwater Ambient Monitoring and Assessment (GAMA) program was developed in response to the Groundwater Quality Monitoring Act of 2001 and is being conducted by the U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board (SWRCB). From May 2004 to March 2012, the GAMA-PBP collected samples from more than 2,300 wells in 35 study units across the State. Selected wells in each study unit were sampled again approximately 3 years after initial sampling as part of an assessment of temporal trends in water quality by the GAMA-PBP. This triennial (every 3 years) trend sampling of GAMA-PBP study units concluded in December 2013. Fifteen of the study units, initially sampled between January 2006 and June 2010 and sampled a second time between April 2009 and April 2013 to assess temporal trends, are the subject of this report.

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The initial sampling was designed to provide a spatially unbiased assessment of the quality of untreated groundwater used for public water supplies in the 15 study units. In these study units, 730 wells were selected by using a spatially distributed, randomized grid-based method to provide statistical representation of the areas assessed (grid wells, also called “status wells”). Approximately 3 years after the initial sampling, 93 of the previously sampled status wells (approximately 10 percent in each study unit) were randomly selected for trend sampling (“trend wells”). The 15 study units sampled for trends were distributed among 4 hydrogeologic provinces: Central Valley, Basin and Range, Desert, and Transverse and selected Peninsular Ranges. 

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The total number of status wells sampled, along with those sampled again for trends, varied by study unit. In the Central Valley hydrogeologic province, the numbers of status wells and trend wells in each study unit were as follows: 

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In the Transverse and Selected Peninsular Ranges hydrogeologic province, the numbers of wells were as follows: 

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The groundwater samples were analyzed for a number of synthetic organic constituents (volatile organic compounds, pesticides, and pesticide degradates), constituents of special interest (perchlorate, N-nitrosodimethylamine [NDMA], and 1,2,3-trichloropropane [1,2,3-TCP]), and naturally occurring inorganic constituents (nutrients, major and minor ions, and trace elements). Naturally occurring isotopes (tritium, carbon-14, and stable isotopes of hydrogen and oxygen in water) also were measured to help identify processes affecting groundwater quality and the sources and ages of the sampled groundwater. More than 200 constituents and water-quality indicators were investigated.

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Quality-control samples (blanks, replicates, or samples for matrix spikes) were collected at 34 percent of the trend wells, and the results for these samples were used to evaluate the quality of the data for the groundwater samples. On the basis of detections in laboratory and field blanks in samples from GAMA-PBP study units, including the study units presented here, some groundwater results were adjusted in this report. Differences between replicate samples were mostly within acceptable ranges, indicating acceptably low variability in analytical results. Median matrix-spike recoveries were within the acceptable range (70 to 130 percent) for 189 of the 224 compounds for which matrix spikes were analyzed (84 percent).

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This study did not attempt to evaluate the quality of water delivered to consumers. After withdrawal, groundwater used for drinking water typically is treated, disinfected, and blended with other waters to attain acceptable water quality. The benchmarks used in this report apply to treated water that is served to the consumer, not to untreated groundwater. To provide some context for the results, however, concentrations of constituents measured in these groundwater samples were compared with benchmarks established by the U.S. Environmental Protection Agency and California Department of Public Health. Comparisons between data collected for this study and benchmarks for drinking-water quality are for illustrative purposes only and are not indicative of compliance or non-compliance with those benchmarks.

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Most constituents that were detected in groundwater samples from the trend wells were found at concentrations less than drinking-water benchmarks. Two volatile organic compounds (VOCs)—tetrachloroethene and trichloroethene—were detected in samples from one or more wells at concentrations greater than their health-based benchmarks, and three VOCs—chloroform, tetrachloroethene, and trichloroethene—were detected in at least 10 percent of the trend-well samples from the initial sampling period and the later trend sampling period. No pesticides were detected at concentrations near or greater than their health-based benchmarks. Three pesticide constituents—atrazine, deethylatrazine, and simazine—were detected in more than 10 percent of the trend-well samples in both sampling periods. Perchlorate, a constituent of special interest, was detected at a concentration greater than its health-based benchmark in samples from one trend well in the initial sampling and trend sampling periods, and in an additional trend well sample only in the trend sampling period. Most detections of nutrients, major and minor ions, and trace elements in samples from trend wells were less than health-based benchmarks in both sampling periods. Exceptions included nitrate, fluoride, arsenic, boron, molybdenum, strontium, and uranium; these were all detected at concentrations greater than their health-based benchmarks in at least one well sample in both sampling periods. Lead and vanadium were detected above their health-based benchmarks in one sample each collected in the initial sampling period only. The isotopic ratios of oxygen and hydrogen in water and the activities of tritium and carbon-14 generally changed little between sampling periods.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds919","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Kent, Robert, 2015, Groundwater quality data in 15 GAMA study units: Results from the 2006–10 initial sampling and the 2009–13 resampling of wells, California GAMA Priority Basin Project: U.S. Geological Survey Data Series 919, 219 p., https://dx.doi.org/10.3133/ds919.","productDescription":"Report: x, 220 p.; Appendix tables","numberOfPages":"234","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050712","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":307704,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0919/ds919.pdf","text":"Report","size":"20.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 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\"}}]}","contact":"

Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, CA 95819
http://ca.water.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2015-08-31","noUsgsAuthors":false,"publicationDate":"2015-08-31","publicationStatus":"PW","scienceBaseUri":"55e6cc33e4b05561fa20a017","contributors":{"authors":[{"text":"Kent, Robert 0000-0003-4174-9467 rhkent@usgs.gov","orcid":"https://orcid.org/0000-0003-4174-9467","contributorId":1445,"corporation":false,"usgs":true,"family":"Kent","given":"Robert","email":"rhkent@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":546837,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70156557,"text":"ds952 - 2015 - Baseline Coastal Oblique Aerial Photographs Collected from Navarre Beach, Florida, to Breton Island, Louisiana,
September 1, 2014","interactions":[],"lastModifiedDate":"2015-09-01T16:01:20","indexId":"ds952","displayToPublicDate":"2015-08-31T14:00:00","publicationYear":"2015","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":"952","title":"Baseline Coastal Oblique Aerial Photographs Collected from Navarre Beach, Florida, to Breton Island, Louisiana,
September 1, 2014","docAbstract":"

Summary

\n

The U.S. Geological Survey (USGS), as part of the National Assessment for Coastal Change Hazards Project, conducts baseline and storm response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). On September 1, 2014, the USGS conducted an oblique aerial photographic survey from Navarre Beach, Florida, to Breton Island, Louisiana (Figure 1), aboard a Maule MT57 aircraft at an altitude of 500 feet (ft) and approximately 1,200 ft offshore (Figure 2). This mission was flown to collect baseline data for assessing incremental changes since the last survey, flown July 2013, and the data can be used in the assessment of future coastal change.

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The photographs provided here are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the configuration of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.

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Table 1 provides detailed information about the GPS location, image name, and date of each of the 1,111 photographs taken along with links to each photograph.

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In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds952","usgsCitation":"Morgan, K.L.M., 2015, Baseline coastal oblique aerial photographs collected from Navarre Beach, Florida, to Breton Island, Louisiana, September 1, 2014: U.S. Geological Survey Data Series 952, https://dx.doi.org/10.3133/ds952.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2014-09-01","ipdsId":"IP-065592","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307593,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0952/index.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Data Series 952"},{"id":307592,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0952/coverthb.jpg"}],"country":"United States","state":"Alabama, Florida, Lousianna, Mississippi","otherGeospatial":"Navarre Beach, Breton Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.94305419921875,\n 30.484183951487754\n ],\n [\n -86.91558837890625,\n 30.28041626667403\n ],\n [\n -87.31109619140625,\n 30.090484220005344\n ],\n [\n -88.40972900390625,\n 29.776297851831366\n ],\n [\n -88.86016845703125,\n 29.547177213315784\n ],\n [\n -89.09088134765625,\n 29.563901551414443\n ],\n [\n -89.07989501953125,\n 29.702368038541767\n ],\n [\n -89.0936279296875,\n 30.109493896732292\n ],\n [\n -89.132080078125,\n 30.351546261929034\n ],\n [\n -89.04144287109375,\n 30.43683404544223\n ],\n [\n -88.83544921874999,\n 30.510216587229984\n ],\n [\n -87.58575439453125,\n 30.500750980290693\n ],\n [\n -87.03094482421875,\n 30.50311746839939\n ],\n [\n -86.94305419921875,\n 30.484183951487754\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

St. Petersburg Coastal and Marine Science Center
600 4th Street South
St. Petersburg, FL 33701
(727) 502-8000
http://coastal.er.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2015-08-31","noUsgsAuthors":false,"publicationDate":"2015-08-31","publicationStatus":"PW","scienceBaseUri":"560ba82be4b058f706e53a49","contributors":{"authors":[{"text":"Morgan, Karen L. M. kmorgan@usgs.gov","contributorId":146948,"corporation":false,"usgs":true,"family":"Morgan","given":"Karen L. M.","email":"kmorgan@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":569497,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70156722,"text":"70156722 - 2015 - Tree mortality from drought, insects, and their interactions in a changing climate","interactions":[],"lastModifiedDate":"2018-01-23T09:30:31","indexId":"70156722","displayToPublicDate":"2015-08-31T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Tree mortality from drought, insects, and their interactions in a changing climate","docAbstract":"

Climate change is expected to drive increased tree mortality through drought, heat stress, and insect attacks, with manifold impacts on forest ecosystems. Yet, climate-induced tree mortality and biotic disturbance agents are largely absent from process-based ecosystem models. Using data sets from the western USA and associated studies, we present a framework for determining the relative contribution of drought stress, insect attack, and their interactions, which is critical for modeling mortality in future climates. We outline a simple approach that identifies the mechanisms associated with two guilds of insects – bark beetles and defoliators – which are responsible for substantial tree mortality. We then discuss cross-biome patterns of insect-driven tree mortality and draw upon available evidence contrasting the prevalence of insect outbreaks in temperate and tropical regions. We conclude with an overview of tools and promising avenues to address major challenges. Ultimately, a multitrophic approach that captures tree physiology, insect populations, and tree–insect interactions will better inform projections of forest ecosystem responses to climate change.

","language":"English","publisher":"Wiley","doi":"10.1111/nph.13477","usgsCitation":"Anderegg, W.R., Hicke, J.A., Fisher, R.A., Allen, C.D., Aukema, J.E., Bentz, B., Hood, S., Lichstein, J.W., Macalady, A.K., McDowell, N.G., Pan, Y., Raffa, K., Sala, A., Shaw, J.D., Stephenson, N.L., Tague, C.L., and Zeppel, M., 2015, Tree mortality from drought, insects, and their interactions in a changing climate: New Phytologist, v. 208, no. 3, p. 674-683, https://doi.org/10.1111/nph.13477.","productDescription":"10 p.","startPage":"674","endPage":"683","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057138","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471843,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.13477","text":"Publisher Index Page"},{"id":307729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"208","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-09","publicationStatus":"PW","scienceBaseUri":"55e56ca3e4b05561fa208675","chorus":{"doi":"10.1111/nph.13477","url":"http://dx.doi.org/10.1111/nph.13477","publisher":"Wiley-Blackwell","authors":"Anderegg William R. 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watershed post-fire sediment yield with the InVEST sediment retention model: Accuracy and uncertainties","docAbstract":"

Increased sedimentation following wildland fire can negatively impact water supply and water quality. Understanding how changing fire frequency, extent, and location will affect watersheds and the ecosystem services they supply to communities is of great societal importance in the western USA and throughout the world. In this work we assess the utility of the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) Sediment Retention Model to accurately characterize erosion and sedimentation of burned watersheds. InVEST was developed by the Natural Capital Project at Stanford University (Tallis et al., 2014) and is a suite of GIS-based implementations of common process models, engineered for high-end computing to allow the faster simulation of larger landscapes and incorporation into decision-making. The InVEST Sediment Retention Model is based on common soil erosion models (e.g., USLE – Universal Soil Loss Equation) and determines which areas of the landscape contribute the greatest sediment loads to a hydrological network and conversely evaluate the ecosystem service of sediment retention on a watershed basis. In this study, we evaluate the accuracy and uncertainties for InVEST predictions of increased sedimentation after fire, using measured postfire sediment yields available for many watersheds throughout the western USA from an existing, published large database. We show that the model can be parameterized in a relatively simple fashion to predict post-fire sediment yield with accuracy. Our ultimate goal is to use the model to accurately predict variability in post-fire sediment yield at a watershed scale as a function of future wildfire conditions.

","conferenceTitle":"3rd Joint Federal Interagency Conference","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Sankey, J.B., McVay, J., Kreitler, J.R., Hawbaker, T., Vaillant, N., and Lowe, S., 2015, Predicting watershed post-fire sediment yield with the InVEST sediment retention model: Accuracy and uncertainties, 3rd Joint Federal Interagency Conference, Reno, NV, April 19-23, 2015, p. 987-998.","productDescription":"12 p.","startPage":"987","endPage":"998","ipdsId":"IP-061071","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":342116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395555,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/Proceedings.pdf","linkFileType":{"id":1,"text":"pdf"}}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59366daae4b0f6c2d0d7d630","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":547853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McVay, Jason","contributorId":274867,"corporation":false,"usgs":false,"family":"McVay","given":"Jason","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":547854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":547855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":547856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vaillant, Nicole","contributorId":140987,"corporation":false,"usgs":false,"family":"Vaillant","given":"Nicole","affiliations":[{"id":13638,"text":"Western Wildland environmental threat assessment Center","active":true,"usgs":false}],"preferred":false,"id":547857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowe, Scott bslowe@usgs.gov","contributorId":3299,"corporation":false,"usgs":true,"family":"Lowe","given":"Scott","email":"bslowe@usgs.gov","affiliations":[],"preferred":true,"id":547858,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70155950,"text":"ofr20151146 - 2015 - Summary of oceanographic measurements for characterizing light attenuation and sediment resuspension in the Barnegat Bay-Little Egg Harbor Estuary, New Jersey, 2013","interactions":[],"lastModifiedDate":"2015-08-31T09:56:10","indexId":"ofr20151146","displayToPublicDate":"2015-08-28T13:45:00","publicationYear":"2015","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":"2015-1146","title":"Summary of oceanographic measurements for characterizing light attenuation and sediment resuspension in the Barnegat Bay-Little Egg Harbor Estuary, New Jersey, 2013","docAbstract":"

The U.S. Geological Survey, in cooperation with the New Jersey Department of Environmental Protection, measured suspended-sediment concentrations, currents, waves, light attenuation, and a variety of other water-quality parameters in the summer of 2013 in Barnegat Bay-Little Egg Harbor, New Jersey. These measurements quantified light attenuation and sediment resuspension in three seagrass meadows. Data were acquired sequentially at three paired channel-shoal sites, as the equipment was moved from south to north in the estuary. Data were collected for approximately 3 weeks at each site.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151146","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Dickhudt, P.J., Ganju, N.K, and Montgomery, E.T., 2015, Summary of oceanographic measurements for characterizing light attenuation and sediment resuspension in the Barnegat Bay-Little Egg Harbor estuary, New Jersey, 2013: U.S. Geological Survey Open-File Report 2015–1146, 18 p., https://dx.doi.org/10.3133/ofr20151146.","productDescription":"Report: vi, 18 p.; Dataset","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065792","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307544,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1146/ofr20151146.pdf","text":"Report","size":"4.59 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1146"},{"id":307640,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7GB224S","text":"Oceanographic measurements for characterizing light attenuation and sediment resuspension in the Barnegat Bay-Little Egg Harbor Estuary, New Jersey, 2013","linkFileType":{"id":5,"text":"html"}},{"id":307543,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1146/coverthb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay-Little Egg Harbor Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.90228271484375,\n 40.29419163838167\n ],\n [\n -74.26483154296875,\n 40.3130432088809\n ],\n [\n -74.4598388671875,\n 39.84439484396462\n ],\n [\n -74.63836669921874,\n 39.53793974517628\n ],\n [\n -74.8114013671875,\n 39.3130504637139\n ],\n [\n -74.66033935546875,\n 39.179046210512645\n ],\n [\n -74.619140625,\n 39.17052936145295\n ],\n [\n -74.58343505859374,\n 39.18117526158749\n ],\n [\n -74.39666748046874,\n 39.29392267616436\n ],\n [\n -74.2510986328125,\n 39.442556532077376\n ],\n [\n -74.102783203125,\n 39.64165260123416\n ],\n [\n -74.0423583984375,\n 39.83174093314558\n ],\n [\n -73.90228271484375,\n 40.29419163838167\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543-1598
508-548-8700 or 508-457-2200

\n

Or visit our Web site at:
http://woodshole.er.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2015-08-28","noUsgsAuthors":false,"publicationDate":"2015-08-28","publicationStatus":"PW","scienceBaseUri":"55e17820e4b05561fa206a97","contributors":{"authors":[{"text":"Dickhudt, Patrick J. pdickhudt@usgs.gov","contributorId":140609,"corporation":false,"usgs":true,"family":"Dickhudt","given":"Patrick J.","email":"pdickhudt@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":567326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":140088,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":567325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montgomery, Ellyn T. emontgomery@usgs.gov","contributorId":140608,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn T.","email":"emontgomery@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":567327,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155005,"text":"70155005 - 2015 - Automated extraction of natural drainage density patterns for the conterminous United States through high performance computing","interactions":[],"lastModifiedDate":"2018-08-13T09:50:40","indexId":"70155005","displayToPublicDate":"2015-08-28T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Automated extraction of natural drainage density patterns for the conterminous United States through high performance computing","docAbstract":"

Hydrographic networks form an important data foundation for cartographic base mapping and for hydrologic analysis. Drainage density patterns for these networks can be derived to characterize local landscape, bedrock and climate conditions, and further inform hydrologic and geomorphological analysis by indicating areas where too few headwater channels have been extracted. But natural drainage density patterns are not consistently available in existing hydrographic data for the United States because compilation and capture criteria historically varied, along with climate, during the period of data collection over the various terrain types throughout the country. This paper demonstrates an automated workflow that is being tested in a high-performance computing environment by the U.S. Geological Survey (USGS) to map natural drainage density patterns at the 1:24,000-scale (24K) for the conterminous United States. Hydrographic network drainage patterns may be extracted from elevation data to guide corrections for existing hydrographic network data. The paper describes three stages in this workflow including data pre-processing, natural channel extraction, and generation of drainage density patterns from extracted channels. The workflow is concurrently implemented by executing procedures on multiple subbasin watersheds within the U.S. National Hydrography Dataset (NHD). Pre-processing defines parameters that are needed for the extraction process. Extraction proceeds in standard fashion: filling sinks, developing flow direction and weighted flow accumulation rasters. Drainage channels with assigned Strahler stream order are extracted within a subbasin and simplified. Drainage density patterns are then estimated with 100-meter resolution and subsequently smoothed with a low-pass filter. The extraction process is found to be of better quality in higher slope terrains. Concurrent processing through the high performance computing environment is shown to facilitate and refine the choice of drainage density extraction parameters and more readily improve extraction procedures than conventional processing.

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The southern San Andreas fault system (California, USA) provides an excellent natural laboratory for studying the controls on vertical crustal motions related to strike-slip deformation. Here we present geologic, geomorphic, and gravity data that provide evidence for active northeastward tilting of the Santa Rosa Mountains and southern Coachella Valley about a horizontal axis oriented parallel to the San Jacinto and San Andreas faults. The Santa Rosa fault, a strand of the San Jacinto fault zone, is a large southwest-dipping normal fault on the west flank of the Santa Rosa Mountains that displays well-developed triangular facets, narrow footwall canyons, and steep hanging-wall alluvial fans. Geologic and geomorphic data reveal ongoing footwall uplift in the southern Santa Rosa Mountains, and gravity data suggest total vertical separation of ∼5.0–6.5 km from the range crest to the base of the Clark Valley basin. The northeast side of the Santa Rosa Mountains has a gentler topographic gradient, large alluvial fans, no major active faults, and tilted inactive late Pleistocene fan surfaces that are deeply incised by modern upper fan channels. Sediments beneath the Coachella Valley thicken gradually northeast to a depth of ∼4–5 km at an abrupt boundary at the San Andreas fault. These features all record crustal-scale tilting to the northeast that likely started when the San Jacinto fault zone initiated ca. 1.2 Ma. Tilting appears to be driven by oblique shortening and loading across a northeast-dipping southern San Andreas fault, consistent with the results of a recent boundary-element modeling study.

","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES01167.1","collaboration":"University of Oregon","usgsCitation":"Dorsey, R., and Langenheim, V., 2015, Crustal-scale tilting of the central Salton block, southern California: Geosphere, v. 11, no. 5, p. 1365-1383, https://doi.org/10.1130/GES01167.1.","productDescription":"19 p.","startPage":"1365","endPage":"1383","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055297","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":471849,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01167.1","text":"Publisher Index Page"},{"id":313229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Southern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.74999999999999,\n 39.487084981687495\n ],\n [\n -120.03662109374999,\n 39.791654835253425\n ],\n [\n -119.99267578124999,\n 39.095962936305504\n ],\n [\n -114.521484375,\n 34.92197103616377\n ],\n [\n -114.36767578124999,\n 34.50655662164561\n ],\n [\n -114.08203125,\n 34.34343606848294\n ],\n [\n -114.41162109375,\n 33.99802726234877\n ],\n [\n -114.45556640625,\n 33.63291573870476\n ],\n [\n -114.7412109375,\n 33.119150226768866\n ],\n [\n -114.43359375,\n 32.99023555965106\n ],\n [\n -114.43359375,\n 32.713355353177555\n ],\n [\n -117.13623046874999,\n 32.509761735919426\n ],\n [\n -117.31201171875001,\n 32.82421110161336\n ],\n [\n -117.333984375,\n 33.063924198120645\n ],\n [\n -117.53173828125,\n 33.284619968887675\n ],\n [\n -118.10302734374999,\n 33.7243396617476\n ],\n [\n -118.38867187500001,\n 33.7243396617476\n ],\n [\n -119.3115234375,\n 34.27083595165\n ],\n [\n -119.77294921874999,\n 34.470335121217495\n ],\n [\n -120.32226562500001,\n 34.397844946449865\n ],\n [\n -120.65185546875,\n 34.50655662164561\n ],\n [\n -120.65185546875,\n 35.10193405724606\n ],\n [\n -120.89355468749999,\n 35.209721645221386\n ],\n [\n -120.89355468749999,\n 35.371135022800985\n ],\n [\n -121.33300781249999,\n 35.71083783530009\n ],\n [\n -121.904296875,\n 36.29741818650811\n ],\n [\n -121.9482421875,\n 36.5978891330702\n ],\n [\n -121.77246093750001,\n 36.84446074079564\n ],\n [\n -121.92626953124999,\n 36.98500309285596\n ],\n [\n -122.14599609375001,\n 36.949891786813296\n ],\n [\n -122.54150390625,\n 37.37015718405753\n ],\n [\n -122.56347656249999,\n 37.68382032669382\n ],\n [\n -123.02490234375,\n 37.996162679728116\n ],\n [\n -123.00292968749999,\n 38.22091976683121\n ],\n [\n -123.24462890625,\n 38.46219172306828\n ],\n [\n -123.74999999999999,\n 38.95940879245423\n ],\n [\n -123.74999999999999,\n 39.487084981687495\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-27","publicationStatus":"PW","scienceBaseUri":"568ba5c8e4b0e7594ee77669","contributors":{"authors":[{"text":"Dorsey, Rebecca","contributorId":140302,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":584144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584143,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70141188,"text":"70141188 - 2015 - Geochemical and mineralogical characteristics of REE in granite-derived regolith: a model for the Southeast United States","interactions":[],"lastModifiedDate":"2015-10-23T16:45:52","indexId":"70141188","displayToPublicDate":"2015-08-27T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geochemical and mineralogical characteristics of REE in granite-derived regolith: a model for the Southeast United States","docAbstract":"
Rare earth element (REE) ion-adsorption clay deposits are of global economic importance because they currently supply a significant portion of the world’s annual production of both light (LREE) and heavy REE (HREE). There is considerable ambiguity regarding the origin of
\n
this deposit type: The main criteria include the presence of large, generally granitic, igneous suites; long periods of intense weathering with little subsequent erosion; and evidence for mobility of REE within the regolith. Granitic rocks of the southeastern United States have been
\n
subjected to a long history of chemical weathering, comparable to that of South China, an area which contains many REE clay deposits. Detailed comparisons of weathered bedrock-soil profiles for large masses of granitic rocks as exemplified by the Stewartsville, Striped
\n
Rock, and Liberty Hill plutons, USA, indicate that REE are mobile within many regolith profiles and locally can attain grades comparable to mined deposits of South China. Primary accessory mineralogy, modal content, and element redistribution as a result of weathering are
\n
identified as distinguishing factors in mobility-related enrichment of REE in the regolith profiles. Only limited geochemical separation of REE was observed within profiles, which suggests the importance of source rock composition and mineralogy in the initial distribution of
\n
extractable REE in the regolith. Retention of extractable HREE was favored over LREE, Th and U within most of the studied profiles.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceeding of the 13th Biennial SGA Meeting","conferenceTitle":"13th Biennial Society for Geology Applied to Ore Deposits","conferenceDate":"24-27 August 2015","conferenceLocation":"Nancy, France","language":"English","usgsCitation":"Foley, N.K., Bern, C., Ayuso, R.A., Hubbard, B.E., and Shah, A.K., 2015, Geochemical and mineralogical characteristics of REE in granite-derived regolith: a model for the Southeast United States, in Proceeding of the 13th Biennial SGA Meeting, Nancy, France, 24-27 August 2015, 4 p.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063415","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":310623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562b5a2fe4b00162522207cf","contributors":{"authors":[{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":540546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bern, Carleton R. cbern@usgs.gov","contributorId":127601,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","email":"cbern@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":540547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":540548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hubbard, Bernard E. 0000-0002-9315-2032 bhubbard@usgs.gov","orcid":"https://orcid.org/0000-0002-9315-2032","contributorId":2342,"corporation":false,"usgs":true,"family":"Hubbard","given":"Bernard","email":"bhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":540549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":540550,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70155907,"text":"70155907 - 2015 - Changes in data sharing and data reuse practices and perceptions among scientists worldwide","interactions":[],"lastModifiedDate":"2018-08-10T13:39:46","indexId":"70155907","displayToPublicDate":"2015-08-26T18:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Changes in data sharing and data reuse practices and perceptions among scientists worldwide","docAbstract":"

The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0134826","usgsCitation":"Tenopir, C., Dalton, E.D., Allard, S., Frame, M., Pjesivac, I., Birch, B., Pollock, D., and Dorsett, K., 2015, Changes in data sharing and data reuse practices and perceptions among scientists worldwide: PLoS ONE, v. 10, no. 8, e0134826.; 24 p., https://doi.org/10.1371/journal.pone.0134826.","productDescription":"e0134826.; 24 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063754","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":471851,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0134826","text":"Publisher Index Page"},{"id":324942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-26","publicationStatus":"PW","scienceBaseUri":"5780ceb2e4b08116168222d0","contributors":{"authors":[{"text":"Tenopir, Carol","contributorId":172632,"corporation":false,"usgs":false,"family":"Tenopir","given":"Carol","email":"","affiliations":[],"preferred":false,"id":641968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalton, Elizabeth D.","contributorId":172768,"corporation":false,"usgs":false,"family":"Dalton","given":"Elizabeth","email":"","middleInitial":"D.","affiliations":[{"id":16989,"text":"University of Tennessee, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":641969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allard, Suzie","contributorId":172634,"corporation":false,"usgs":false,"family":"Allard","given":"Suzie","email":"","affiliations":[],"preferred":false,"id":641970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frame, Mike 0000-0001-9995-2172 mike_frame@usgs.gov","orcid":"https://orcid.org/0000-0001-9995-2172","contributorId":4541,"corporation":false,"usgs":true,"family":"Frame","given":"Mike","email":"mike_frame@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":566732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pjesivac, Ivanka","contributorId":172769,"corporation":false,"usgs":false,"family":"Pjesivac","given":"Ivanka","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":641971,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Birch, Ben","contributorId":172635,"corporation":false,"usgs":false,"family":"Birch","given":"Ben","email":"","affiliations":[],"preferred":false,"id":641972,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pollock, Danielle","contributorId":172770,"corporation":false,"usgs":false,"family":"Pollock","given":"Danielle","email":"","affiliations":[{"id":16989,"text":"University of Tennessee, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":641973,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dorsett, Kristina","contributorId":172771,"corporation":false,"usgs":false,"family":"Dorsett","given":"Kristina","email":"","affiliations":[{"id":16989,"text":"University of Tennessee, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":641974,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70156393,"text":"sir20155095 - 2015 - Relations between well-field pumping and induced canal leakage in east-central Miami-Dade County, Florida, 2010-2011","interactions":[],"lastModifiedDate":"2015-08-27T08:55:05","indexId":"sir20155095","displayToPublicDate":"2015-08-26T17:15:00","publicationYear":"2015","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":"2015-5095","title":"Relations between well-field pumping and induced canal leakage in east-central Miami-Dade County, Florida, 2010-2011","docAbstract":"

An extensive canal and water management system exists in south Florida to prevent flooding, replenish groundwater, and impede saltwater intrusion. The unconfined Biscayne aquifer, which underlies southeast Florida and provides water for millions of residents, interacts with the canal system. The Biscayne aquifer is composed of a highly transmissive karst limestone; therefore, canal stage and flow may be affected by production well pumping, especially in locations where production wells and canals are in proximity.

\n

The U.S. Geological Survey developed a local-scale, transient, numerical groundwater flow model of a well field in Miami-Dade County to (1) quantify relations between well-field pumping and C-2 Canal (herein referred to as the Snapper Creek Canal) leakage, (2) determine primary controls on canal leakage variability, and (3) summarize results that could simplify characterization of canal/well-field interactions in other locations. In addition to the groundwater model development, stable isotope data from water-quality samples were used to characterize the relations between production well pumping and canal leakage. The results from the groundwater model and the isotope data were used to refine the conceptual flow model of the study area.

\n

The groundwater flow model MODFLOW-NWT was used for simulating groundwater flow and quantifying interactions between pumping from the well field and Snapper Creek Canal leakage. Input data for the groundwater model included precipitation, evapotranspiration, pumping, canal stage, and regional groundwater elevation. The inverse modeling tool UCODE and groundwater data from June 2010 to July 2011 were used to calibrate the model. Parameter sensitivity analyses were performed with UCODE. Model sensitivities to geologic heterogeneity, non-laminar flow, and changes in the regional flow boundary were evaluated. The groundwater model generally fits the calibration criteria well within estimated error ranges for groundwater elevations and canal leakage values. The mean average error for heads simulated with the model was 0.19 meter, and head residuals were generally randomly distributed.

\n

The model simulated groundwater flow under ambient conditions without production well pumping to establish background leakage. Groundwater flow also was simulated with production well pumping to estimate induced leakage from the Snapper Creek Canal that occurs in response to pumping.

\n

Canal leakage was quantified as a percentage of total canal leakage. The percentage of leakage during pumping increased non-linearly with pumping rate, indicating a decreasing sensitivity of canal leakage to pumping at relatively large pumping magnitudes. The results for Snapper Creek Canal may serve as an upper limit for well-field interaction with surface-water features in Miami-Dade County, given the proximity (about 50 meters) of the pumping wells in this study to the Snapper Creek Canal.

\n

The isotopic compositions of hydrogen (H) and oxygen (O) in groundwater samples were used to distinguish sources for groundwater within the study area and to assess the extent of natural mixing and pumping-induced mixing with water in the Snapper Creek Canal. Water-level data and water-quality samples were collected from monitoring well clusters, production wells, and the Snapper Creek Canal during discrete sampling events under ambient and pumping conditions. Trends in the isotope data generally follow the regional west-to-east hydraulic gradient across the study area. Data collected within the monitoring-well clusters in closest proximity to the canal indicate that groundwater/surface-water interactions are greatest within the shallow flow zone of the aquifer, especially during pumping conditions. The isotopic composition of samples collected within the study area indicates that the shallow, highly transmissive preferential flow zone receives substantial recharge from the canal. The isotope data from the production wells which are open to the deeper flow zone within the aquifer, indicate only traces of mixing with a 2H- and 18O-enriched source, suggesting little canal admixture with waters of the deeper flow zone.

\n

Results from the groundwater model and the stable isotope data analysis indicate the importance of considering geologic heterogeneity when investigating the relations between pumping and canal leakage, not only at this site, but also at other sites with similar heterogeneous geology. The model results were consistently sensitive to the hydrogeologic framework and changes in hydraulic conductivities. The model and the isotope data indicate that the majority of the groundwater/surface-water interactions occurred within the shallow flow zone. A relatively lower-permeability geologic layer occurring between the shallowest and deep preferential flow zones lessens the interactions between the production wells and the canal.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155095","collaboration":"Prepared in cooperation with the Miami-Dade Water and Sewer Department","usgsCitation":"Nemec, Katherine, Antolino, Dominick, Turtora, Michael, and Foster, Adam, 2015, Relations between well-field pumping and induced canal leakage in east-central Miami-Dade County, Florida, 2010–2011: U.S. Geological Survey Scientific Investigations Report 2015–5095, 65 p., https://dx.doi.org/10.3133/sir20155095.","productDescription":"Report: ix, 65 p.; Table","numberOfPages":"80","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2010-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-056802","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":307064,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5095/coverthb.jpg"},{"id":307065,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5095/sir20155095.pdf","text":"Report","size":"8.21 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5095"},{"id":307066,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2015/5095/sir20155095_table1-6.xlsx","text":"Table 6","size":"69.7 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5095","linkHelpText":"Summary of water-level and water-quality results for visited sites in Miami-Dade county, October 2008 through April 2011."}],"country":"United States","state":"Florida","county":"Miami-Dade County","otherGeospatial":"Snapper Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.37700653076172,\n 25.692430237791747\n ],\n [\n -80.37700653076172,\n 25.712074241522732\n ],\n [\n -80.35160064697266,\n 25.712074241522732\n ],\n [\n -80.35160064697266,\n 25.692430237791747\n ],\n [\n -80.37700653076172,\n 25.692430237791747\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, USGS Caribbean-Florida Water Science Center
4446 Pet Lane, Suite 108
Lutz, FL 33559
http://fl.water.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2015-08-26","noUsgsAuthors":false,"publicationDate":"2015-08-26","publicationStatus":"PW","scienceBaseUri":"57f7eec3e4b0bc0bec09ec93","contributors":{"authors":[{"text":"Nemec, Katherine knemec@usgs.gov","contributorId":5948,"corporation":false,"usgs":true,"family":"Nemec","given":"Katherine","email":"knemec@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":false,"id":569006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antolino, Dominick J. 0000-0001-7838-5279 dantolin@usgs.gov","orcid":"https://orcid.org/0000-0001-7838-5279","contributorId":5428,"corporation":false,"usgs":true,"family":"Antolino","given":"Dominick","email":"dantolin@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turtora, Michael mturtora@usgs.gov","contributorId":4260,"corporation":false,"usgs":true,"family":"Turtora","given":"Michael","email":"mturtora@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":569009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adam Foster","contributorId":146808,"corporation":false,"usgs":false,"family":"Adam Foster","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":569010,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156542,"text":"70156542 - 2015 - Observatory geoelectric fields induced in a two-layer lithosphere during magnetic storms","interactions":[],"lastModifiedDate":"2016-01-18T09:06:10","indexId":"70156542","displayToPublicDate":"2015-08-26T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1430,"text":"Earth, Planets and Space","active":true,"publicationSubtype":{"id":10}},"title":"Observatory geoelectric fields induced in a two-layer lithosphere during magnetic storms","docAbstract":"

We report on the development and validation of an algorithm for estimating geoelectric fields induced in the lithosphere beneath an observatory during a magnetic storm. To accommodate induction in three-dimensional lithospheric electrical conductivity, we analyze a simple nine-parameter model: two horizontal layers, each with uniform electrical conductivity properties given by independent distortion tensors. With Laplace transformation of the induction equations into the complex frequency domain, we obtain a transfer function describing induction of observatory geoelectric fields having frequency-dependent polarization. Upon inverse transformation back to the time domain, the convolution of the corresponding impulse-response function with a geomagnetic time series yields an estimated geoelectric time series. We obtain an optimized set of conductivity parameters using 1-s resolution geomagnetic and geoelectric field data collected at the Kakioka, Japan, observatory for five different intense magnetic storms, including the October 2003 Halloween storm; our estimated geoelectric field accounts for 93% of that measured during the Halloween storm. This work demonstrates the need for detailed modeling of the Earth’s lithospheric conductivity structure and the utility of co-located geomagnetic and geoelectric monitoring.

","language":"English","doi":"10.1186/s40623-015-0213-3","usgsCitation":"Love, J.J., and Swidinsky, A., 2015, Observatory geoelectric fields induced in a two-layer lithosphere during magnetic storms: Earth, Planets and Space, v. 67, art58: 12 p., https://doi.org/10.1186/s40623-015-0213-3.","productDescription":"art58: 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062867","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":471853,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40623-015-0213-3","text":"Publisher Index Page"},{"id":307514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","city":"Kakioka","volume":"67","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-28","publicationStatus":"PW","scienceBaseUri":"55ded525e4b0518e354e07e3","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":569440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swidinsky, Andrei","contributorId":146924,"corporation":false,"usgs":false,"family":"Swidinsky","given":"Andrei","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":569441,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155119,"text":"sir20155101 - 2015 - Flood-inundation maps for Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan","interactions":[],"lastModifiedDate":"2016-02-04T08:54:30","indexId":"sir20155101","displayToPublicDate":"2015-08-26T09:15:00","publicationYear":"2015","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":"2015-5101","title":"Flood-inundation maps for Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan","docAbstract":"

Digital flood-inundation maps for a total of 19.7 miles of the Grand River, the Red Cedar River, and Sycamore Creek were created by the U.S. Geological Survey (USGS) in cooperation with the City of Lansing, Michigan, and the U.S. Army Corps of Engineers. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, show estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at three USGS streamgages: Grand River at Lansing, MI (04113000), Red Cedar River at East Lansing, MI (04112500), and Sycamore Creek at Holt Road near Holt, MI (04112850). Near-real-time stages at these streamgages can be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/, which also forecasts flood hydrographs at all of these sites.

\n

Each set of flood profiles was computed by means of a one-dimensional step-backwater model. Each model was calibrated to the current stage-discharge relation at each streamgage and to water levels determined with stage sensors (pressure transducers) temporarily deployed along each stream reach. The hydraulic model was used to compute a set of water-surface profiles for flood stages from nearly Action Stage to above Major Flood stage, as reported by the National Weather Service. The computed water-surface profiles were then used in combination with a Geographic Information System digital elevation model derived from light detection and ranging (lidar) data to delineate the approximate areas flooded at each water level.

\n

These maps, used in conjunction with real-time USGS streamgage data and NWS forecasting, provide critical information to emergency management personnel and the public. This information is used to plan flood response actions, such as evacuations and road closures, as well as aid in postflood recovery efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155101","collaboration":"Prepared in cooperation with the City of Lansing; Michigan, and U.S. Army Corps of Engineers","usgsCitation":"Whitehead, M.T., and Ostheimer, C.J., 2015, Flood-inundation maps for Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan (ver. 1.1, February 2016: U.S. Geological Survey Scientific Investigations Report 2015–5101, 19 p.,\nhttps://dx.doi.org/10.3133/sir20155101.","productDescription":"Report: v, 19 p.; Downloads Directory","startPage":"1","endPage":"19","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064143","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":316374,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2015/5101/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5101"},{"id":307510,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2015/5101/downloads/sir20155101_lansing-mi-report-downloads.zip","text":"Downloads Directory","size":"1.15 GB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5101","linkHelpText":"Grids, Shapefiles, Metadata, and Ancillary Information"},{"id":307357,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5101/sir20155101.pdf","text":"Report","size":"1.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5101"},{"id":307504,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5101/coverthbr.jpg"}],"country":"United States","state":"Michigan","county":"Eaton County, Ingham County","city":"Lansing","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.87556457519531,\n 42.487795634680005\n ],\n [\n -84.87556457519531,\n 42.86589941517495\n ],\n [\n -84.39834594726562,\n 42.86589941517495\n ],\n [\n -84.39834594726562,\n 42.487795634680005\n ],\n [\n -84.87556457519531,\n 42.487795634680005\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Originally posted August 26, 2015; Version 1.1: February 2, 2016","contact":"

Director, Michigan-Ohio Water Science Center
U.S. Geological Survey
6480 Doubletree Ave
Columbus, OH 43229–1111
http://oh.water.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2015-08-26","revisedDate":"2016-02-02","noUsgsAuthors":false,"publicationDate":"2015-08-26","publicationStatus":"PW","scienceBaseUri":"55ded523e4b0518e354e07e0","contributors":{"authors":[{"text":"Whitehead, Matthew mtwhiteh@usgs.gov","contributorId":146963,"corporation":false,"usgs":true,"family":"Whitehead","given":"Matthew","email":"mtwhiteh@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostheimer, Chad J. ostheime@usgs.gov","contributorId":140119,"corporation":false,"usgs":true,"family":"Ostheimer","given":"Chad J.","email":"ostheime@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":569650,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156551,"text":"70156551 - 2015 - Rethinking the longitudinal stream temperature paradigm: region-wide comparison of thermal infrared imagery reveals unexpected complexity of river temperatures","interactions":[],"lastModifiedDate":"2017-11-22T18:00:14","indexId":"70156551","displayToPublicDate":"2015-08-25T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Rethinking the longitudinal stream temperature paradigm: region-wide comparison of thermal infrared imagery reveals unexpected complexity of river temperatures","docAbstract":"

Prevailing theory suggests that stream temperature warms asymptotically in a downstream direction, beginning at the temperature of the source in the headwaters and leveling off downstream as it converges to match meteorological conditions. However, there have been few empirical examples of longitudinal patterns of temperature in large rivers due to a paucity of data. We constructed longitudinal thermal profiles (temperature versus distance) for 53 rivers in the Pacific Northwest (USA) using an extensive dataset of remotely sensed summertime river temperatures and classified each profile into one of five patterns of downstream warming: asymptotic (increasing then flattening), linear (increasing steadily), uniform (not changing), parabolic (increasing then decreasing), or complex (not fitting other classes). We evaluated (1) how frequently profiles warmed asymptotically downstream as expected, and (2) whether relationships between river temperature and common hydroclimatic variables differed by profile class. We found considerable diversity in profile shape, with 47% of rivers warming asymptotically, and 53% having alternative profile shapes. Water temperature did not warm substantially over the course of the river for coastal parabolic and uniform profiles, and for some linear and complex profiles. Profile classes showed no clear geographical trends. The degree of correlation between river temperature and hydroclimatic variables differed among profile classes, but there was overlap among classes. Water temperature in rivers with asymptotic or parabolic profiles was positively correlated with August air temperature, tributary temperature and velocity, and negatively correlated with elevation, August precipitation, gradient, and distance upstream. Conversely, associations were less apparent in rivers with linear, uniform, or complex profiles. Factors contributing to the unique shape of parabolic profiles differed for coastal and inland rivers, where downstream cooling was influenced locally by climate or cool water inputs, respectively. Potential drivers of shape for complex profiles were specific to each river. These thermal patterns indicate diverse thermal habitats that may promote resilience of aquatic biota to climate change. Without this spatial context, climate change models may incorrectly estimate loss of thermally suitable habitat.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10506","usgsCitation":"Fullerton, A.H., Torgersen, C.E., Lawler, J.J., Faux, R.N., Steel, E.A., Beechie, T.J., Ebersole, J.L., and Leibowitz, S.J., 2015, Rethinking the longitudinal stream temperature paradigm: region-wide comparison of thermal infrared imagery reveals unexpected complexity of river temperatures: Hydrological Processes, v. 29, no. 22, p. 4719-4737, https://doi.org/10.1002/hyp.10506.","productDescription":"19 p.","startPage":"4719","endPage":"4737","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1994-07-01","temporalEnd":"2007-08-31","ipdsId":"IP-055750","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":307413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.04858398437499,\n 49.009050809382046\n ],\n [\n -123.321533203125,\n 49.023461463214126\n ],\n [\n -123.211669921875,\n 48.22467264956519\n ],\n [\n -124.771728515625,\n 48.42920055556841\n ],\n [\n -124.71679687499999,\n 47.87214396888731\n ],\n [\n -124.024658203125,\n 45.85941212790755\n ],\n [\n -124.244384765625,\n 43.79488907226601\n ],\n [\n -124.661865234375,\n 42.90011265525328\n ],\n [\n -124.112548828125,\n 41.43449030894922\n ],\n [\n -124.508056640625,\n 40.38839687388361\n ],\n [\n -123.85986328124999,\n 39.740986355883564\n ],\n [\n -123.82690429687499,\n 38.882481197550774\n ],\n [\n -123.035888671875,\n 38.18638677411551\n ],\n [\n -118.78967285156249,\n 38.156156969924915\n ],\n [\n -119.99267578124999,\n 38.993572058209466\n ],\n [\n -119.9981689453125,\n 41.99624282178583\n ],\n [\n -111.0443115234375,\n 42.00848901572399\n ],\n [\n -111.04774475097656,\n 44.47446108518852\n ],\n [\n -116.04858398437499,\n 49.009050809382046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"22","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-14","publicationStatus":"PW","scienceBaseUri":"55dd83a5e4b0518e354dc717","contributors":{"authors":[{"text":"Fullerton, Aimee H.","contributorId":146936,"corporation":false,"usgs":false,"family":"Fullerton","given":"Aimee","email":"","middleInitial":"H.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":569469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":569468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawler, Joshua J.","contributorId":73327,"corporation":false,"usgs":false,"family":"Lawler","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":569470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faux, Russell N.","contributorId":146937,"corporation":false,"usgs":false,"family":"Faux","given":"Russell","email":"","middleInitial":"N.","affiliations":[{"id":16760,"text":"Watershed Sciences, Inc.","active":true,"usgs":false}],"preferred":false,"id":569471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steel, E. Ashley","contributorId":7589,"corporation":false,"usgs":false,"family":"Steel","given":"E.","email":"","middleInitial":"Ashley","affiliations":[],"preferred":false,"id":569472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beechie, Timothy J.","contributorId":139468,"corporation":false,"usgs":false,"family":"Beechie","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":569473,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ebersole, Joseph L.","contributorId":146938,"corporation":false,"usgs":false,"family":"Ebersole","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":569474,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leibowitz, Scott J.","contributorId":146939,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":569475,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70156290,"text":"cir1411 - 2015 - Review of the USA National Phenology Network","interactions":[],"lastModifiedDate":"2015-09-11T10:30:24","indexId":"cir1411","displayToPublicDate":"2015-08-24T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1411","title":"Review of the USA National Phenology Network","docAbstract":"

In January 2014, leadership from the U.S. Geological Survey (USGS) Ecosystems Mission Area commissioned a review of the USA National Phenology Network (USA–NPN) Program. The Ecosystems Mission Area has a key stake in the USA–NPN, providing both supervision of its Director and most of the appropriated funds. The products and objectives of the program are relevant to six of the seven USGS Mission Areas as well as to at least four Department of the Interior (DOI) bureaus.

\n

A nine-person panel of reviewers, with representatives from the USGS, other Federal agencies, and academia, was convened to provide advice and recommendations to USGS leadership. Specifically, the panel was asked to assess the science utility of having a National Phenology Network; to consider USGS science mission and DOI management needs served by the USA–NPN; and to consider the utility of the USA–NPN to other Federal agency science missions or management needs (including the National Science Foundation [NSF] and university research funded by the NSF and other government agencies).

\n

This report summarizes the panel’s findings and offers five recommendations for USGS leadership:

\n

1. Commit to stable USA–NPN funding and increase accountability.

\n

2. Establish a Federal Steering Committee, led by the USGS, and a separate Scientific Phenology User Group.

\n

3. Emphasize continental-scale phenology data and information.

\n

4. Formalize volunteer engagement in phenology data collection.

\n

5. Integrate phenology information into USGS science.

\n

The panel generally affirms the value of the USA–NPN program and finds that the program is successfully meeting the needs of its stakeholders, including the USGS. However, the USGS needs to be more engaged in the program, providing leadership and setting priorities for the future. The USA–NPN, in turn, needs to deliver more clearly defined, DOI-relevant, USGS-integrated, data product lines that have the broadest possible spatial and temporal scope to meet user needs across the United States.

\n

The panel recommends that the USA–NPN National Coordinating Office (NCO) establish an implementation plan that addresses all of the panel recommendations, with priorities, timelines, and assumptions to move the program forward successfully.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1411","usgsCitation":"Glynn, P.D., and Owen, T.W., eds., 2015, Review of the USA National Phenology Network: U.S. Geological Survey Circular 1411, 27 p., https://dx.doi.org/10.3133/cir1411.","productDescription":"iii, 27 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064225","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":306901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1411/coverthb.jpg"},{"id":306989,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1411/circ1411.pdf","text":"Report","size":"3.61 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1411"}],"contact":"

Executive Director
USA National Phenology Network
http://www.usanpn.org

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2015-08-24","noUsgsAuthors":false,"publicationDate":"2015-08-24","publicationStatus":"PW","scienceBaseUri":"55f3fb31e4b0ba2c1a0078bd","contributors":{"editors":[{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":569665,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Owen, Timothy W.","contributorId":146964,"corporation":false,"usgs":false,"family":"Owen","given":"Timothy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":569666,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":70155290,"text":"sir20155099 - 2015 - Flood-inundation maps for the St. Marys River at Decatur, Indiana","interactions":[],"lastModifiedDate":"2015-09-23T09:37:03","indexId":"sir20155099","displayToPublicDate":"2015-08-24T15:15:00","publicationYear":"2015","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":"2015-5099","title":"Flood-inundation maps for the St. Marys River at Decatur, Indiana","docAbstract":"

Digital flood-inundation maps for an 8.9-mile reach of the St. Marys River at Decatur, Indiana, were developed by the U.S. Geological Survey (USGS), in cooperation with the Indiana Office of Community and Rural Affairs. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site (http://water.usgs.gov/osw/flood_inundation/), depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) of the St. Marys River at Decatur (USGS station number 04181500). The maps are useful for estimating near-real-time areas of inundation by referencing concurrent USGS streamgage information at http://waterdata.usgs.gov/. In addition, the streamgage information was provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service flood warning system (http:/water.weather.gov/ahps/). NWS-forecasted peak-stage information may be used in conjunction with the maps developed during this study to show predicted areas of flood inundation.

\n

During this study, flood profiles were computed for the stream reach by means of a one-dimensional, step-backwater model. The model was calibrated by using the stage-discharge relation for the streamgage at St. Marys River at Decatur. The hydraulic model was used to compute 18 water-surface profiles for flood stages varied at 1-foot (ft) intervals and ranging from approximately bankfull (13 ft above gage datum) to greater than the highest recorded water level at the streamgage. To delineate the area of flood inundation for each modeled water level, maps were constructed in a geographic information system by combining the simulated water-surface profiles with a digital-elevation model derived from light detection and ranging (lidar) data. Estimated flood-inundation boundaries along each simulated profile were developed using HEC–GeoRAS software.

\n

The availability of these maps and associated Web mapping tools, along with the current river stage from USGS streamgages and forecasted flood stages from the NWS, provides emergency managers and residents with information that may be critical for flood-emergency planning and flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155099","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Strauch, K.R., 2015, Flood-inundation maps for the St. Marys River at Decatur, Indiana: U.S. Geological Survey Scientific Investigations Report 2015–5099, 8 p., https://dx.doi.org/10.3133/sir20155099.","productDescription":"Report: iv, 8 p.; Metadata; Raw Data","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-061185","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":308417,"rank":3,"type":{"id":19,"text":"Raw Data"},"url":"https://pubs.usgs.gov/sir/2015/5099/downloads/sir2015-5099_grids.zip","text":"SIR 2015-5099 - All Grid Files","size":"38.4 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5099"},{"id":308418,"rank":4,"type":{"id":19,"text":"Raw Data"},"url":"https://pubs.usgs.gov/sir/2015/5099/downloads/sir2015-5099_shapefiles.zip","text":"SIR 2015-5099 - All Shape Files","size":"1.43 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5099"},{"id":307017,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5099/sir20155099.pdf","text":"Report","size":"1.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5099"},{"id":307016,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5099/coverthb.jpg"}],"country":"United States","state":"Indiana","county":"Adams","city":"Decatur","otherGeospatial":"St. Mary's River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.98268127441406,\n 40.897684312779774\n ],\n [\n -85.01117706298828,\n 40.869131967913475\n ],\n [\n -84.94869232177734,\n 40.82316279497129\n ],\n [\n -84.9074935913086,\n 40.80133575979201\n ],\n [\n -84.89959716796875,\n 40.7958778790764\n ],\n [\n -84.87419128417969,\n 40.817446884558805\n ],\n [\n -84.98268127441406,\n 40.897684312779774\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Indiana Water Science Center
5957 Lakeside Blvd
Indianapolis, IN 46278
http://in.water.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2015-08-24","noUsgsAuthors":false,"publicationDate":"2015-08-24","publicationStatus":"PW","scienceBaseUri":"5603cd3ce4b03bc34f544aff","contributors":{"authors":[{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565498,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148660,"text":"pp1815 - 2015 - Sea-level rise modeling handbook: Resource guide for coastal land managers, engineers, and scientists","interactions":[],"lastModifiedDate":"2015-08-24T10:39:47","indexId":"pp1815","displayToPublicDate":"2015-08-24T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1815","title":"Sea-level rise modeling handbook: Resource guide for coastal land managers, engineers, and scientists","docAbstract":"

Global sea level is rising and may accelerate with continued fossil fuel consumption from industrial and population growth. In 2012, the U.S. Geological Survey conducted more than 30 training and feedback sessions with Federal, State, and nongovernmental organization (NGO) coastal managers and planners across the northern Gulf of Mexico coast to evaluate user needs, potential benefits, current scientific understanding, and utilization of resource aids and modeling tools focused on sea-level rise. In response to the findings from the sessions, this sea-level rise modeling handbook has been designed as a guide to the science and simulation models for understanding the dynamics and impacts of sea-level rise on coastal ecosystems. The review herein of decision-support tools and predictive models was compiled from the training sessions, from online research, and from publications. The purpose of this guide is to describe and categorize the suite of data, methods, and models and their design, structure, and application for hindcasting and forecasting the potential impacts of sea-level rise in coastal ecosystems. The data and models cover a broad spectrum of disciplines involving different designs and scales of spatial and temporal complexity for predicting environmental change and ecosystem response. These data and models have not heretofore been synthesized, nor have appraisals been made of their utility or limitations. Some models are demonstration tools for non-experts, whereas others require more expert capacity to apply for any given park, refuge, or regional application. A simplified tabular context has been developed to list and contrast a host of decision-support tools and models from the ecological, geological, and hydrological perspectives. Criteria were established to distinguish the source, scale, and quality of information input and geographic datasets; physical and biological constraints and relations; datum characteristics of water and land components; utility options for setting sea-level rise and climate change scenarios; and ease or difficulty of storing, displaying, or interpreting model output. Coastal land managers, engineers, and scientists can benefit from this synthesis of tools and models that have been developed for projecting causes and consequences of sea-level change on the landscape and seascape.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1815","collaboration":"Prepared in cooperation with the Department of the Interior Southeast Climate Science Center","usgsCitation":"Doyle, T.W., Chivoiu, Bogdan, and Enwright, N.M., 2015, Sea-level rise modeling handbook—Resource guide for coastal land managers, engineers, and scientists: U.S. Geological Survey Professional Paper 1815, 76 p.,\nhttps://dx.doi.org/10.3133/pp1815.","productDescription":"ix, 76 p.","numberOfPages":"89","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-045332","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":307080,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1815/pp1815.pdf","text":"Report","size":"7.47","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1815"},{"id":307079,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1815/coverthb.jpg"}],"contact":"

Director, National Wetlands Research Center
U.S. Geological Survey
700 Cajundome Blvd.
Lafayette, LA 70506
http://www.nwrc.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2015-08-24","noUsgsAuthors":false,"publicationDate":"2015-08-24","publicationStatus":"PW","scienceBaseUri":"57f7eec4e4b0bc0bec09ec9d","contributors":{"authors":[{"text":"Doyle, Thomas W. 0000-0001-5754-0671 doylet@usgs.gov","orcid":"https://orcid.org/0000-0001-5754-0671","contributorId":703,"corporation":false,"usgs":true,"family":"Doyle","given":"Thomas","email":"doylet@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":548959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chivoiu, Bogdan 0000-0002-4568-3496","orcid":"https://orcid.org/0000-0002-4568-3496","contributorId":141229,"corporation":false,"usgs":false,"family":"Chivoiu","given":"Bogdan","affiliations":[{"id":13722,"text":"University of Louisiana-Lafayette","active":true,"usgs":false}],"preferred":false,"id":548960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enwright, Nicholas M. 0000-0002-7887-3261 enwrightn@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":4880,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","email":"enwrightn@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":548961,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156347,"text":"70156347 - 2015 - Estimating the effects of habitat and biological interactions in an avian community","interactions":[],"lastModifiedDate":"2015-08-20T12:59:12","indexId":"70156347","displayToPublicDate":"2015-08-20T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the effects of habitat and biological interactions in an avian community","docAbstract":"

We used repeated sightings of individual birds encountered in community-level surveys to investigate the relative roles of habitat and biological interactions in determining the distribution and abundance of each species. To analyze these data, we developed a multispecies N-mixture model that allowed estimation of both positive and negative correlations between abundances of different species while also estimating the effects of habitat and the effects of errors in detection of each species. Using a combination of single- and multispecies N-mixture modeling, we examined for each species whether our measures of habitat were sufficient to account for the variation in encounter histories of individual birds or whether other habitat variables or interactions with other species needed to be considered. In the community that we studied, habitat appeared to be more influential than biological interactions in determining the distribution and abundance of most avian species. Our results lend support to the hypothesis that abundances of forest specialists are negatively affected by forest fragmentation. Our results also suggest that many species were associated with particular types of vegetation as measured by structural attributes of the forests. The abundances of 6 of the 73 species observed in our study were strongly correlated. These species included large birds (American Crow and Red-winged Blackbird) that forage on the ground in open habitats and small birds (Red-eyed Vireo, House Wren, Hooded Warbler, and Prairie Warbler) that are associated with dense shrub cover. Species abundances were positively correlated within each size group and negatively correlated between groups. Except for the American Crow, which preys on eggs and nestlings of small song birds, none of the other 5 species is known to display direct interactions, so we suspect that the correlations may have been associated with species-specific responses to habitat components not adequately measured by our covariates.

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\"}}]}","volume":"10","issue":"8","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-19","publicationStatus":"PW","scienceBaseUri":"55d6ec21e4b0518e3546bbee","contributors":{"authors":[{"text":"Dorazio, Robert M. bob_dorazio@usgs.gov","contributorId":140635,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert M.","email":"bob_dorazio@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":568805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, Edward F.","contributorId":146729,"corporation":false,"usgs":false,"family":"Connor","given":"Edward F.","affiliations":[{"id":16737,"text":"Department of Biology, San Francisco State University, CA","active":true,"usgs":false}],"preferred":false,"id":568806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Askins, Robert A.","contributorId":146730,"corporation":false,"usgs":false,"family":"Askins","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":16738,"text":"Biology Department, Connecticut College, New London, CT","active":true,"usgs":false}],"preferred":false,"id":568807,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155895,"text":"ds949 - 2015 - Ground-survey and water-quality data for selected wetlands on or near the Lower Brule Indian Reservation in South Dakota, 2012-13","interactions":[],"lastModifiedDate":"2017-10-12T20:02:38","indexId":"ds949","displayToPublicDate":"2015-08-20T10:15:00","publicationYear":"2015","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":"949","title":"Ground-survey and water-quality data for selected wetlands on or near the Lower Brule Indian Reservation in South Dakota, 2012-13","docAbstract":"

Numerous lakes, ponds, and wetlands are located within the Lower Brule Indian Reservation. Wetlands are an important resource providing aquatic habitat for plants and animals, and acting as a natural water filtration system. Several of the wetlands on or near the reservation are of particular interest, but information on the physical and biological integrity of these wetlands was needed to provide a base-line reference when planning for future water management needs. A reconnaissance-level study of selected wetlands on and near the Lower Brule Indian Reservation was completed in 2012–13 by the U.S. Geological Survey in cooperation with the Lower Brule Sioux Tribe using ground surveys and water-quality analyses. Ground surveys of six wetland areas (Dorman Slough, Little Bend Wetlands, Miller Pond, Potter Slough, an unnamed slough, and West Brule Community wetlands) were completed to map land, water, vegetation, and man-made features of the selected wetland areas using real-time kinematic global navigation satellite systems equipment. Water samples were collected from four of the selected wetlands. Two separate waterbodies were sampled at one of the wetlands for a total of five sampling locations. Water samples were analyzed for physical properties, selected inorganics, metals, nutrients, and suspended sediment. Concentrations of calcium, sodium, and sulfate were greater at the two wetland sites fed by ground water, compared to the wetland sites fed by surface runoff.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds949","collaboration":"Prepared in cooperation with the Lower Brule Sioux Tribe","usgsCitation":"Neitzert, K.M., and Thompson, R.F., 2015, Ground-survey and water-quality data for selected wetlands on or near the Lower Brule Indian Reservation in South Dakota, 2012–13: U.S. Geological Survey Data Series Report 949, 21 p., https://dx.doi.org/10.3133/ds949.","productDescription":"v, 21 p.; Database","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-062797","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":306899,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0949/coverthb.jpg"},{"id":306900,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0949/ds949.pdf","text":"Report","size":"8.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 949"},{"id":306978,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://water.usgs.gov/GIS/dsdl/ds949_LBWetlands_gdb.zip","text":"Geodatabase","description":"Geodatabase"}],"country":"United States","state":"South Dakota","otherGeospatial":"Lower Brule Indian Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.12252807617188,\n 43.875128129336716\n ],\n [\n -100.12252807617188,\n 44.33956524809713\n ],\n [\n -99.24362182617186,\n 44.33956524809713\n ],\n [\n -99.24362182617186,\n 43.875128129336716\n ],\n [\n -100.12252807617188,\n 43.875128129336716\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, South Dakota Water Science Center
U.S. Geological Survey
1608 Mountain View Road
Rapid City, South Dakota 57702
http://sd.water.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2015-08-20","noUsgsAuthors":false,"publicationDate":"2015-08-20","publicationStatus":"PW","scienceBaseUri":"57f7eec4e4b0bc0bec09ec9f","contributors":{"authors":[{"text":"Neitzert, Kathleen M. kmneitze@usgs.gov","contributorId":1833,"corporation":false,"usgs":true,"family":"Neitzert","given":"Kathleen","email":"kmneitze@usgs.gov","middleInitial":"M.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Ryan F. 0000-0002-4544-6108 rcthomps@usgs.gov","orcid":"https://orcid.org/0000-0002-4544-6108","contributorId":2702,"corporation":false,"usgs":true,"family":"Thompson","given":"Ryan","email":"rcthomps@usgs.gov","middleInitial":"F.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566672,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155924,"text":"sim3338 - 2015 - Flood-inundation maps for Big Creek from the McGinnis Ferry Road bridge to the confluence of Hog Wallow Creek, Alpharetta and Roswell, Georgia","interactions":[],"lastModifiedDate":"2017-01-13T09:52:13","indexId":"sim3338","displayToPublicDate":"2015-08-20T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3338","title":"Flood-inundation maps for Big Creek from the McGinnis Ferry Road bridge to the confluence of Hog Wallow Creek, Alpharetta and Roswell, Georgia","docAbstract":"

Digital flood-inundation maps for a 12.4-mile reach of Big Creek that extends from 260 feet above the McGinnis Ferry Road bridge to the U.S. Geological Survey (USGS) streamgage at Big Creek below Hog Wallow Creek at Roswell, Georgia (02335757), were developed by the USGS in cooperation with the cities of Alpharetta and Roswell, Georgia. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Big Creek near Alpharetta, Georgia (02335700). Real-time stage information from this USGS streamgage may be obtained at http://waterdata.usgs.gov/ and can be used in conjunction with these maps to estimate near real-time areas of inundation. The National Weather Service (NWS) is incorporating results from this study into the Advanced Hydrologic Prediction Service (AHPS) flood-warning system http://water.weather.gov/ahps/). The NWS forecasts flood hydrographs for many streams where the USGS operates streamgages and provides flow data. The forecasted peak-stage information for the USGS streamgage at Big Creek near Alpharetta (02335700), available through the AHPS Web site, may be used in conjunction with the maps developed for this study to show predicted areas of flood inundation.

\n

A one-dimensional step-backwater model was developed using the U.S. Army Corps of Engineers HEC–RAS software for Big Creek and was used to compute flood profiles for a 12.4-mile reach of Big Creek. The model was calibrated using the most current (2015) stage-discharge relations at two USGS streamgages on Big Creek: Big Creek near Alpharetta (02335700) and Big Creek below Hog Wallow Creek at Roswell (02335757). The hydraulic model was then used to simulate 19 water-surface profiles at 0.5-foot intervals at the Big Creek near Alpharetta streamgage. The profiles ranged from just above bankfull stage (6.0 feet) to approximately 1.95 feet above the highest recorded water level at the Alpharetta streamgage site (15.0 feet). The simulated water-surface profiles were then combined with a geographic information system digital elevation model—derived from light detection and ranging data having a 3.0-foot horizontal resolution—to delineate the area flooded at each 0.5-foot interval of stream stage.

\n

The availability of these maps, when combined with real-time stage information from USGS streamgages and forecasted stream stage from the NWS, provides emergency management personnel and residents with critical information during flood-response activities such as evacuations and road closures, in addition to post-flood recovery efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3338","collaboration":"Prepared in cooperation with the cities of Alpharetta, and Roswell, Georgia","usgsCitation":"Musser, J.W., 2015, Flood-inundation maps for Big Creek from the McGinnis Ferry Road bridge to the confluence of Hog Wallow, Alpharetta and Roswell, Georgia: U.S. Geological Survey Scientific Investigations Map 3338, 19 sheets, 10-p. pamphlet, https://dx.doi.org/10.3133/sim3338.","productDescription":"Report: vi, 10 p.; 19 Sheets: 29.0 x 30.0 inches; Metadata; Raw Data","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065512","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":306705,"rank":21,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3338/pdf/sim3338sheet19.pdf","text":"Sheet19 - Gage height of 15.0 feet and an elevation of 975.6 feet at streamgage 02335700","size":"18.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3338"},{"id":306704,"rank":20,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3338/pdf//sim3338sheet18.pdf","text":"Sheet18 - 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Director, South Atlantic Water Science Center 
U.S. Geological Survey
720 Gracern Road
Columbia, SC 29210
http://www.usgs.gov/water/southatlantic/

","tableOfContents":"","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2015-08-20","noUsgsAuthors":false,"publicationDate":"2015-08-20","publicationStatus":"PW","scienceBaseUri":"57f7eec4e4b0bc0bec09eca3","contributors":{"authors":[{"text":"Musser, Jonathan W. 0000-0002-3543-0807 jwmusser@usgs.gov","orcid":"https://orcid.org/0000-0002-3543-0807","contributorId":2266,"corporation":false,"usgs":true,"family":"Musser","given":"Jonathan","email":"jwmusser@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566901,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148473,"text":"70148473 - 2015 - Evaluation of fisher (Pekania pennanti) restoration in Olympic National Park and the Olympic Recovery Area: 2014 annual progress report","interactions":[],"lastModifiedDate":"2017-11-22T16:07:50","indexId":"70148473","displayToPublicDate":"2015-08-20T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":52,"text":"Natural Resource Data Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2015-804","displayTitle":"Evaluation of fisher (Pekania pennanti) restoration in Olympic National Park and the Olympic Recovery Area: 2014 annual progress report","title":"Evaluation of fisher (Pekania pennanti) restoration in Olympic National Park and the Olympic Recovery Area: 2014 annual progress report","docAbstract":"

With the translocation and release of 90 fishers (Pekania pennanti) from British Columbia to Olympic National Park during 2008–2010, the National Park Service and Washington Department of Fish and Wildlife accomplished the first phase of fisher restoration in Washington State. Beginning in 2013, we initiated a new research project to determine the current status of fishers on Washington’s Olympic Peninsula 3–5 years after the releases and evaluate the short-term success of the restoration program. Objectives of the study are to determine the current distribution of fishers and proportion of the recovery area that is currently occupied by fishers, determine several genetic characteristics of the reintroduced population, and determine reproductive success of the founding animals through genetic studies.

During 2014, we continued working with a broad coalition of cooperating agencies, tribes, and nongovernmental organizations (NGO) to collect data on fisher distribution and genetics using noninvasive sampling methods. The primary sampling frame consisted of 157 24-square-kilometer hexagons (hexes) distributed across all major land ownerships within the Olympic Peninsula target survey area. In 2014 we expanded the study by adding 58 more hexes to an expanded study area in response to incidental fisher observations outside of the target area obtained in 2013; 49 hexes were added south and 9 to the east of the target area. During 2014, federal, state, tribal and NGO biologists and volunteers established three baited motion-sensing camera stations, paired with hair snaring devices, in 80 hexes; 69 in the targeted area 11 in the expansion areas. Each paired camera/hair station was left in place for approximately 6 weeks, with three checks on 2-week intervals. We documented fisher presence in 5 of the 80 hexagons, and identified 5 different fishers through a combination of microsatellite DNA analyses and camera detections. All fisher detections were in the target area. These 5 individuals included 2 of the original founding population of 90, 1 of the 2 rescued and rehabilitated kits that were released in 2010, and 1 new recruit to the population (1 individual was not identified). Additionally, we identified more than 40 other species of wildlife at the baited camera stations. We also obtained eight incidental fisher observations through photographs and carcass retrieval.

During 2015, we plan to sample 75 hexagons in the target area and 12 in the expansion area. We plan to sample all unsampled accessible hexes in the target area (26 hexes), and re-sample accessible hexes sampled in 2013 (49 hexes).

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48.378145469762444\n ],\n [\n -124.7113037109375,\n 48.436489955944154\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593910b0e4b0764e6c5e8885","contributors":{"authors":[{"text":"Happe, Patricia J.","contributorId":50983,"corporation":false,"usgs":false,"family":"Happe","given":"Patricia","email":"","middleInitial":"J.","affiliations":[{"id":16133,"text":"National Park Service, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":548345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":548344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kay, Thomas J.","contributorId":141089,"corporation":false,"usgs":false,"family":"Kay","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":548346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pilgrim, Kristy L.","contributorId":45222,"corporation":false,"usgs":true,"family":"Pilgrim","given":"Kristy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":548347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Michael K.","contributorId":102326,"corporation":false,"usgs":true,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":548348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lewis, Jeffrey C.","contributorId":141090,"corporation":false,"usgs":false,"family":"Lewis","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":13674,"text":"WDFW","active":true,"usgs":false}],"preferred":false,"id":548349,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aubry, Keith B.","contributorId":141091,"corporation":false,"usgs":false,"family":"Aubry","given":"Keith","email":"","middleInitial":"B.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":548350,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70156289,"text":"70156289 - 2015 - Isolated cases of remote dynamic triggering in Canada detected using cataloged earthquakes combined with a matched-filter approach","interactions":[],"lastModifiedDate":"2015-08-19T10:03:45","indexId":"70156289","displayToPublicDate":"2015-08-19T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Isolated cases of remote dynamic triggering in Canada detected using cataloged earthquakes combined with a matched-filter approach","docAbstract":"

Here we search for dynamically triggered earthquakes in Canada following global main shocks between 2004 and 2014 with MS > 6, depth < 100 km, and estimated peak ground velocity > 0.2 cm/s. We use the Natural Resources Canada (NRCan) earthquake catalog to calculate β statistical values in 1° × 1° bins in 10 day windows before and after the main shocks. The statistical analysis suggests that triggering may occur near Vancouver Island, along the border of the Yukon and Northwest Territories, in western Alberta, western Ontario, and the Charlevoix seismic zone. We also search for triggering in Alberta where denser seismic station coverage renders regional earthquake catalogs with lower completeness thresholds. We find remote triggering in Alberta associated with three main shocks using a matched-filter approach on continuous waveform data. The increased number of local earthquakes following the passage of main shock surface waves suggests local faults may be in a critically stressed state.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL064377","usgsCitation":"Bei, W., Harrington, R.M., Liu, Y., Yu, H., Carey, A., and van der Elst, N., 2015, Isolated cases of remote dynamic triggering in Canada detected using cataloged earthquakes combined with a matched-filter approach: Geophysical Research Letters, v. 42, no. 13, p. 5187-5196, https://doi.org/10.1002/2015GL064377.","productDescription":"10 p.","startPage":"5187","endPage":"5196","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065304","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":471866,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl064377","text":"Publisher Index Page"},{"id":306915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Alberta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.0146484375,\n 60.009970961180386\n ],\n [\n -109.9951171875,\n 60.03192969911559\n ],\n [\n -110.01708984374999,\n 48.99463598353408\n ],\n [\n -114.14794921875,\n 49.009050809382046\n ],\n [\n -114.78515624999999,\n 49.51094351526262\n ],\n [\n -114.80712890625,\n 50.3454604086048\n ],\n [\n -115.79589843749999,\n 51.09662294502995\n ],\n [\n -117.24609374999999,\n 51.998410382390325\n ],\n [\n -118.21289062499999,\n 52.4158226123788\n ],\n [\n -119.39941406249999,\n 53.291489065300226\n ],\n [\n -119.94873046875,\n 53.44880683542759\n ],\n [\n -119.81689453125,\n 53.65766102029798\n ],\n [\n -120.03662109374999,\n 53.839563678833606\n ],\n [\n -120.0146484375,\n 60.009970961180386\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"13","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-03","publicationStatus":"PW","scienceBaseUri":"55d59a9fe4b0518e3546a48c","contributors":{"authors":[{"text":"Bei, Wang","contributorId":146632,"corporation":false,"usgs":false,"family":"Bei","given":"Wang","email":"","affiliations":[{"id":16735,"text":"Dept. of Earth and Planetary Sci., McGill Univ., Montreal, Quebec","active":true,"usgs":false}],"preferred":false,"id":568526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrington, Rebecca M.","contributorId":146633,"corporation":false,"usgs":false,"family":"Harrington","given":"Rebecca","email":"","middleInitial":"M.","affiliations":[{"id":16736,"text":"Dept. of Earth and Planetary Sci,.McGill Univ., Montreal, Quebec","active":true,"usgs":false}],"preferred":false,"id":568527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Yajing","contributorId":16553,"corporation":false,"usgs":true,"family":"Liu","given":"Yajing","affiliations":[],"preferred":false,"id":568557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yu, Hongyu","contributorId":146634,"corporation":false,"usgs":false,"family":"Yu","given":"Hongyu","email":"","affiliations":[{"id":16735,"text":"Dept. of Earth and Planetary Sci., McGill Univ., Montreal, Quebec","active":true,"usgs":false}],"preferred":false,"id":568528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carey, Alex","contributorId":146635,"corporation":false,"usgs":false,"family":"Carey","given":"Alex","email":"","affiliations":[{"id":16735,"text":"Dept. of Earth and Planetary Sci., McGill Univ., Montreal, Quebec","active":true,"usgs":false}],"preferred":false,"id":568529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van der Elst, Nicholas nvanderelst@usgs.gov","contributorId":146631,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":568525,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70156583,"text":"70156583 - 2015 - Sharpening the boundaries - 3D terracing applied to physical property inversions","interactions":[],"lastModifiedDate":"2021-01-29T15:59:20.109835","indexId":"70156583","displayToPublicDate":"2015-08-19T09:55:12","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Sharpening the boundaries - 3D terracing applied to physical property inversions","docAbstract":"

Physical property inversions typically result in smooth property distributions, without the sharp boundaries expected of true geologic sources. Here we explore the use of 3D terracing as a way to force the inverted physical properties to have sharp boundaries. Terracing during inversion is preferable to post-inversion terracing because it results in a better fit to the observed data.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SEG 2015 technical program expanded abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEG International Expositionand Eighty-Fifth Annual Meeting","conferenceDate":"OCt 18-23, 2015","conferenceLocation":"New Orleans, LA","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/segam2015-5827462.1","usgsCitation":"Phillips, J., and Simpson, R.W., 2015, Sharpening the boundaries - 3D terracing applied to physical property inversions, in SEG 2015 technical program expanded abstracts, New Orleans, LA, OCt 18-23, 2015, p. 1536-1540, https://doi.org/10.1190/segam2015-5827462.1.","productDescription":"5 p.","startPage":"1536","endPage":"1540","ipdsId":"IP-063542","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":382807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Phillips, Jeffrey 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":127453,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":569580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simpson, Robert W. simpson@usgs.gov","contributorId":1053,"corporation":false,"usgs":true,"family":"Simpson","given":"Robert","email":"simpson@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":569581,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157158,"text":"70157158 - 2015 - A rapid estimation of near field tsunami run-up","interactions":[],"lastModifiedDate":"2015-10-26T14:13:08","indexId":"70157158","displayToPublicDate":"2015-08-19T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"A rapid estimation of near field tsunami run-up","docAbstract":"

Many efforts have been made to quickly estimate the maximum run-up height of tsunamis associated with large earthquakes. This is a difficult task, because of the time it takes to construct a tsunami model using real time data from the source. It is possible to construct a database of potential seismic sources and their corresponding tsunami a priori.However, such models are generally based on uniform slip distributions and thus oversimplify the knowledge of the earthquake source. Here, we show how to predict tsunami run-up from any seismic source model using an analytic solution, that was specifically designed for subduction zones with a well defined geometry, i.e., Chile, Japan, Nicaragua, Alaska. The main idea of this work is to provide a tool for emergency response, trading off accuracy for speed. The solutions we present for large earthquakes appear promising. Here, run-up models are computed for: The 1992 Mw 7.7 Nicaragua Earthquake, the 2001 Mw 8.4 Perú Earthquake, the 2003Mw 8.3 Hokkaido Earthquake, the 2007 Mw 8.1 Perú Earthquake, the 2010 Mw 8.8 Maule Earthquake, the 2011 Mw 9.0 Tohoku Earthquake and the recent 2014 Mw 8.2 Iquique Earthquake. The maximum run-up estimations are consistent with measurements made inland after each event, with a peak of 9 m for Nicaragua, 8 m for Perú (2001), 32 m for Maule, 41 m for Tohoku, and 4.1 m for Iquique. Considering recent advances made in the analysis of real time GPS data and the ability to rapidly resolve the finiteness of a large earthquake close to existing GPS networks, it will be possible in the near future to perform these calculations within the first minutes after the occurrence of similar events. Thus, such calculations will provide faster run-up information than is available from existing uniform-slip seismic source databases or past events of pre-modeled seismic sources.

","language":"English","publisher":"Wiley","doi":"10.1002/2015JB012218","usgsCitation":"Riqueime, S., Fuentes, M., Hayes, G.P., and Campos, J., 2015, A rapid estimation of near field tsunami run-up: Journal of Geophysical Research, v. 120, no. 9, p. 6487-6500, https://doi.org/10.1002/2015JB012218.","productDescription":"14 p.","startPage":"6487","endPage":"6500","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068627","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":471867,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012218","text":"Publisher Index Page"},{"id":308323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-26","publicationStatus":"PW","scienceBaseUri":"56012a39e4b03bc34f5443ee","contributors":{"authors":[{"text":"Riqueime, Sebastian","contributorId":147554,"corporation":false,"usgs":false,"family":"Riqueime","given":"Sebastian","email":"","affiliations":[{"id":16869,"text":"National Seismological Center (CSN), University of Chile, Santiago, Chile","active":true,"usgs":false}],"preferred":false,"id":571999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuentes, Mauricio","contributorId":147555,"corporation":false,"usgs":false,"family":"Fuentes","given":"Mauricio","email":"","affiliations":[{"id":16870,"text":"Department of Geophysics, University of Chile, Santiago, Chile","active":true,"usgs":false}],"preferred":false,"id":572000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":147556,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":572001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campos, Jamie","contributorId":147557,"corporation":false,"usgs":false,"family":"Campos","given":"Jamie","email":"","affiliations":[{"id":16870,"text":"Department of Geophysics, University of Chile, Santiago, Chile","active":true,"usgs":false}],"preferred":false,"id":572002,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70150369,"text":"ofr20151120 - 2015 - National Earthquake Information Center systems overview and integration","interactions":[],"lastModifiedDate":"2015-08-19T09:18:32","indexId":"ofr20151120","displayToPublicDate":"2015-08-18T14:30:00","publicationYear":"2015","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":"2015-1120","title":"National Earthquake Information Center systems overview and integration","docAbstract":"

Overview

\n

The primary mission of the U.S. Geological Survey (USGS) National Earthquake Information Center (NEIC) is comprehensive global earthquake monitoring (M4.5 or larger) and complete seismic monitoring of the United States for all significant earthquakes (M3.0 or larger or felt). In recent years, the NEIC has assumed a more prominent role in local and regional seismic monitoring, backup capabilities, and special studies. The NEIC uses numerous scientific algorithms to produce information products for local, national, and international disaster responders; infrastructure corporations (for example, utility providers and insurers); U.S. embassies worldwide; news agencies; national and international earth science research communities; and millions of public users.

\n

To support this mission, the NEIC operates a constant service to derive numerous information products as rapidly and accurately as possible. Derived information products and data sets provide a wealth of related earthquake information and include products such as location, magnitude, maps of shaking intensity, moment tensors, phase arrivals, and loss and damage reports. These information products are automatically derived in near real-time and refined over time. Earthquake information products vary from well formatted text files, to binary files, to directories full of many files. A team of analysts, who provide constant coverage, 24 hours a day, seven days a week, 365 days a year, review the acquired data and automatically derived products (1) in near real-time for rapid release and (2) in the weeks following events to produce historical catalogs of global earthquakes in support of scientific research. Data and products are reviewed both in near real-time for rapid release and in the weeks following events to produce historical catalogs of global earthquakes in support of scientific research. At the present time, the NEIC publishes data for approximately 25,000 earthquakes annually.

\n

The NEIC software system that supports this service and mission comprises many subsystems. The internals of each subsystem are often complex, but the integration between all of the subsystems is well defined, standardized, and straightforward. This Open-File Report describes the systems’ integration infrastructure and how all the subsystems fit together. It provides summary views of the system as a whole, along with detailed views of the inputs, outputs, and dependencies for each subsystem. It also outlines the many shared data services that support these subsystems and applications as well as external customers. The NEIC systems-integration effort is ongoing. Additional integration steps, needed to reach our goals, are discussed.

\n

It is important to note that this document provides a brief introduction to the work of dozens of software developers and IT specialists, spanning in many cases more than a decade. References to significant amounts of supporting documentation, code, and information are supplied within.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151120","usgsCitation":"Guy, Michelle, Patton, John, Fee, J.M., Hearne, Mike, Martinez, E.M., Ketchum, D., Worden, C.B., Quitoriano, Vince, Hunter, E.J., Smoczyk, G.M., and Schwarz, Stan, 2015, National Earthquake Information Center systems overview and integration: U.S. Geological Survey Open-File Report 2015–1120, 25 p., https://dx.doi.org/10.3133/ofr20151120.","productDescription":"iii, 25 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065994","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":306512,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1120/coverthb.jpg"},{"id":306513,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1120/ofr20151120.pdf","text":"Report","size":"3.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1120"}],"contact":"

Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, MS–966
Denver, CO 80225-0046
http://geohazards.cr.usgs.gov/

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Seabirds are of conservation concern, and as new potential risks to seabirds are arising, the need to provide unbiased estimates of species’ distributions is growing. We applied community occupancy models to detection/non-detection data collected from repeated aerial strip-transect surveys conducted in 2 large study plots off southern New England, USA; one off the coast of Rhode Island and the other in Nantucket Sound. A total of 17 seabird species were observed at least once in each study plot. We found that detection varied by survey date and effort for most species and the average detection probability across species was less than 0.4. We estimated the influence of water depth, sea surface temperature, and sea surface chl a concentration on species-specific occupancy. Diving species showed large differences between the 2 study plots in their predicted winter distributions, which were largely explained by water depth acting as a stronger predictor of occupancy in Rhode Island than in Nantucket Sound. Conversely, similarities between the 2 study plots in predicted winter distributions of surface-feeding species were explained by sea surface temperature or chlorophyll a concentration acting as predictors of these species’ occupancy in both study plots. We predicted the number of species at each site using the observed data in order to detect ‘hot-spots’ of seabird diversity and use in the 2 study plots. These results provide new information on detection of species, areas of use, and relationships with environmental variables that will be valuable for biologists and planners interested in seabird conservation in the region.

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