1. Lakes Michigan and Huron, which are undergoing oligotrophication after reduction of phosphorus loading, invasion by dreissenid mussels and variation in climate, provide an opportunity to conduct large-scale evaluation of the relative importance of these changes for lake productivity. We used remote sensing, field data and an information-theoretic approach to identify factors that showed statistical relationships with observed changes in chlorophyll a (chla) and primary production (PP).
2. Spring phosphorus (TP), annual mean chla and PP have all declined significantly in both lakes since the late 1990s. Additionally, monthly mean values of chla have decreased in many but not all months, indicating altered seasonal patterns. The most striking change has been the decrease in chla concentration during the spring bloom.
3. Mean chlorophyll a concentration was 17% higher in Lake Michigan than in Lake Huron, and total production for 2008 in Lake Michigan (9.5 tg year 1 ) was 10% greater than in Lake Huron (7.8 tg year 1 ), even though Lake Michigan is slightly smaller (by 3%) than Lake Huron. Differences between the lakes in the early 1970s evidently persisted to 2008.
4. Invasive mussels influenced temporal trends in spring chla and annual primary production. However, TP had a greater effect on chla and primary production than did the mussels, and TP varied independently from them. Two climatic variables (precipitation and air temperature in the basins) influenced annual chla and annual PP, while the extent of ice cover influenced TP but not chla or primary production. Our results demonstrate that observed temporal patterns in chla and PP are the result of complex interactions of P, climate and invasive mussels.
From August 13-23, 2013, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE) conducted geophysical surveys to investigate the geologic controls on barrier island framework and long-term sediment transport offshore of Petit Bois Island, Mississippi. This investigation is part of a broader USGS study on Coastal Change and Transport (CCT). These surveys were funded through the Mississippi Coastal Improvements Program (MsCIP) with partial funding provided by the Northern Gulf of Mexico Ecosystem Change and Hazard Susceptibility Project. This report serves as an archive of unprocessed digital chirp subbottom data, trackline maps, navigation files, Geographic Information System (GIS) files, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FGDC) metadata. Gained-showing a relative increase in signal amplitude-digital images of the seismic profiles are provided.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds924","usgsCitation":"Forde, A.S., Flocks, J.G., Kindinger, J.L., Bernier, J., Kelso, K.W., and Wiese, D.S., 2015, Archive of digital chirp subbottom profile data collected during USGS Cruise 13CCT04 offshore of Petit Bois Island, Mississippi, August 2013: U.S. Geological Survey Data Series 924, HTML Document; 3 DVDs, https://doi.org/10.3133/ds924.","productDescription":"HTML Document; 3 DVDs","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2013-08-01","temporalEnd":"2013-08-31","ipdsId":"IP-056854","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":298864,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0924/"},{"id":298866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds924.jpg"},{"id":298865,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0924/html/ds924_home.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DS 924 Report"}],"country":"United States","state":"Mississippi","otherGeospatial":"Petit Bois Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.58139038085938,\n 30.098207342112747\n ],\n [\n -88.58139038085938,\n 30.32902735042595\n ],\n [\n -88.34037780761719,\n 30.32902735042595\n ],\n [\n -88.34037780761719,\n 30.098207342112747\n ],\n [\n -88.58139038085938,\n 30.098207342112747\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55112b18e4b02e76d75b50b2","contributors":{"authors":[{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":542729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":542730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":543049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":542732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":548206,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":542734,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70142972,"text":"ofr20151042 - 2015 - Use of satellite images to determine surface-water cover during the flood event of September 13, 2013, in Lyons and western Longmont, Colorado","interactions":[],"lastModifiedDate":"2015-03-23T12:07:41","indexId":"ofr20151042","displayToPublicDate":"2015-03-23T11:45:00","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":"2015-1042","title":"Use of satellite images to determine surface-water cover during the flood event of September 13, 2013, in Lyons and western Longmont, Colorado","docAbstract":"The flooding that occurred in north-central Colorado in 2013 was some of the most destructive in the state’s history. Following a summer of drought and wildfires, a wet weather system stalled over the Front Range area from Fort Collins in the north to Colorado Springs in the south, including the cities of Lyons and Longmont. This weather system produced rainfall amounts that greatly exceeded historical highs. The Colorado Office of Emergency Management reported at least eight deaths. More than 11,000 people were evacuated from their homes, and the flooding caused an estimated $2 billion dollars in damages. On September 14, 2013, President Barack Obama issued a major disaster declaration for 15 Colorado counties affected by the severe weather and related damage.
\nTo support local, State, and Federal disaster response coordination efforts in Colorado, the U.S. Geological Survey (USGS) developed a geospatial product to identify surface-water cover from Lyons to western Longmont. This information was derived from September 13, 2013 WorldView-2 multispectral imagery at a spatial resolution of 3 meters (m). These data were orthocorrected and pan-sharpened. Three spectral indices (NDVI, NDWI, and NDTI) that were computed from this processed imagery were used to help determine the extent of the surface-water cover. The result was converted to a vector format.
\nThis surface-water cover dataset was created as a timely representation of post-flood ground conditions to support response efforts. This dataset and all processed imagery and derived products were uploaded to the USGS Hazards Data Distribution System (HDDS) website (http://hddsexplorer.usgs.gov/uplift/hdds/) for distribution to those responding to the flood event.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151042","usgsCitation":"Cole, C.J., Friesen, B.A., Wilson, E.M., Wilds, S.R., and Noble, S.M., 2015, Use of satellite images to determine surface-water cover during the flood event of September 13, 2013, in Lyons and western Longmont, Colorado: U.S. Geological Survey Open-File Report 2015-1042, 42.0 x 29.0 inches, https://doi.org/10.3133/ofr20151042.","productDescription":"42.0 x 29.0 inches","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-09-13","temporalEnd":"2013-09-13","ipdsId":"IP-059354","costCenters":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"links":[{"id":298870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151042.jpg"},{"id":298869,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1042/pdf/ofr2015-1042.pdf","text":"Report","size":"9.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298868,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1042/"}],"scale":"15000","projection":"Universal Transverse Mercator projection, zone 13N","datum":"World Geodetic System of 1984","country":"United States","state":"Colorado","city":"Longmont, Lyons","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.28352737426758,\n 40.166543612622554\n ],\n [\n -105.28352737426758,\n 40.24179856487036\n ],\n [\n -105.13040542602539,\n 40.24179856487036\n ],\n [\n -105.13040542602539,\n 40.166543612622554\n ],\n [\n -105.28352737426758,\n 40.166543612622554\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55112b1fe4b02e76d75b50ba","contributors":{"authors":[{"text":"Cole, Christopher J. cjcole@usgs.gov","contributorId":2163,"corporation":false,"usgs":true,"family":"Cole","given":"Christopher","email":"cjcole@usgs.gov","middleInitial":"J.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":543060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friesen, Beverly A. bafriesen@usgs.gov","contributorId":3216,"corporation":false,"usgs":true,"family":"Friesen","given":"Beverly","email":"bafriesen@usgs.gov","middleInitial":"A.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":543061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Earl M. emwilson@usgs.gov","contributorId":4124,"corporation":false,"usgs":true,"family":"Wilson","given":"Earl","email":"emwilson@usgs.gov","middleInitial":"M.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":543062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilds, Stanley R. srwilds@usgs.gov","contributorId":3399,"corporation":false,"usgs":true,"family":"Wilds","given":"Stanley","email":"srwilds@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":543063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noble, Suzanne M. smnoble@usgs.gov","contributorId":3400,"corporation":false,"usgs":true,"family":"Noble","given":"Suzanne","email":"smnoble@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":543064,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70141916,"text":"sir20155033 - 2015 - Geospatial assessment of ecological functions and flood-related risks on floodplains along major rivers in the Puget Sound Basin, Washington","interactions":[],"lastModifiedDate":"2019-06-19T09:50:10","indexId":"sir20155033","displayToPublicDate":"2015-03-23T11:00:00","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":"2015-5033","title":"Geospatial assessment of ecological functions and flood-related risks on floodplains along major rivers in the Puget Sound Basin, Washington","docAbstract":"Ecological functions and flood-related risks were assessed for floodplains along the 17 major rivers flowing into Puget Sound Basin, Washington. The assessment addresses five ecological functions, five components of flood-related risks at two spatial resolutions—fine and coarse. The fine-resolution assessment compiled spatial attributes of floodplains from existing, publicly available sources and integrated the attributes into 10-meter rasters for each function, hazard, or exposure. The raster values generally represent different types of floodplains with regard to each function, hazard, or exposure rather than the degree of function, hazard, or exposure. The coarse-resolution assessment tabulates attributes from the fine-resolution assessment for larger floodplain units, which are floodplains associated with 0.1 to 21-kilometer long segments of major rivers. The coarse-resolution assessment also derives indices that can be used to compare function or risk among different floodplain units and to develop normative (based on observed distributions) standards. The products of the assessment are available online as geospatial datasets (Konrad, 2015; http://dx.doi.org/10.5066/F7DR2SJC).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155033","collaboration":"Prepared in cooperation with The Nature Conservancy, Washington State Department of Ecology, and U.S. Environmental Protection Agency","usgsCitation":"Konrad, C.P., 2015, Geospatial assessment of ecological functions and flood-related risks on floodplains along major rivers in the Puget Sound Basin, Washington: U.S. Geological Survey Scientific Investigations Report 2015-5033, Report: v, 28 p.; Flood Plain Unit Tables, https://doi.org/10.3133/sir20155033.","productDescription":"Report: v, 28 p.; Flood Plain Unit Tables","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059005","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":298854,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155033.PNG"},{"id":299116,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://dx.doi.org/10.5066/F7DR2SJC","text":"Geospatial data on ecological functions and flood-related risks to people on major river floodplains in the Puget Sound basin, Washington","description":"Data Release","linkHelpText":"USGS Data Release"},{"id":298852,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5033/","linkFileType":{"id":5,"text":"html"}},{"id":298863,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2015/5033/downloads/sir2015-5033_fpu_indices.csv","text":"Indices","size":"151 KB","linkFileType":{"id":7,"text":"csv"},"description":"Indices","linkHelpText":"Flood Plain Unit Table"},{"id":298861,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5033/pdf/sir2015-5033.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298862,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2015/5033/downloads/sir2015-5033_fpu_attributes.csv","text":"Attributes","size":"116 KB","linkFileType":{"id":7,"text":"csv"},"description":"Attributes","linkHelpText":"Flood Plain Unit Table"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.64401245117188,\n 48.393649752479995\n ],\n [\n -124.71954345703126,\n 48.38977412459175\n ],\n [\n -124.7281265258789,\n 48.384758167957436\n ],\n [\n -124.3817138671875,\n 48.11843396091691\n ],\n [\n -123.71704101562499,\n 48.00094957553023\n ],\n [\n -123.5357666015625,\n 47.454094290400015\n ],\n [\n -123.35998535156249,\n 47.28295557691231\n ],\n [\n -123.19244384765625,\n 46.97275640318636\n ],\n [\n -121.97296142578124,\n 46.592843997427416\n ],\n [\n -121.19018554687499,\n 47.14116119721895\n ],\n [\n -120.8551025390625,\n 48.206371336358906\n ],\n [\n -120.60791015625,\n 48.52388120259336\n ],\n [\n -120.59417724609375,\n 48.7362668466753\n ],\n [\n -120.69854736328125,\n 49.44312875803005\n ],\n [\n -121.35910034179688,\n 49.44580743661371\n ],\n [\n -121.3385009765625,\n 49.00004203215395\n ],\n [\n -122.20367431640624,\n 49.0027448364445\n ],\n [\n -122.20367431640624,\n 49.00724918431423\n ],\n [\n -122.20367431640624,\n 49.01445529346132\n ],\n [\n -122.2119140625,\n 49.09185510395163\n ],\n [\n -122.4810791015625,\n 49.09185510395163\n ],\n [\n -122.47695922851562,\n 49.0027448364445\n ],\n [\n -123.12927246093751,\n 49.001843917978526\n ],\n [\n -123.26797485351561,\n 48.6927734325279\n ],\n [\n -123.16909790039062,\n 48.46563710044979\n ],\n [\n -123.10455322265625,\n 48.42373281900577\n ],\n [\n -122.67196655273436,\n 48.39729713260604\n ],\n [\n -122.772216796875,\n 48.219182942479165\n ],\n [\n -123.09494018554686,\n 48.186232335871836\n ],\n [\n -123.541259765625,\n 48.15051192444076\n ],\n [\n -124.1015625,\n 48.22101291025667\n ],\n [\n -124.56298828125001,\n 48.36811076994179\n ],\n [\n -124.64401245117188,\n 48.393649752479995\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55112b1de4b02e76d75b50b6","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543027,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70142445,"text":"fs20153017 - 2015 - The 3D Elevation Program: summary for West Virginia","interactions":[],"lastModifiedDate":"2016-08-17T15:04:48","indexId":"fs20153017","displayToPublicDate":"2015-03-23T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3017","title":"The 3D Elevation Program: summary for West Virginia","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of West Virginia, elevation data are critical for natural resources conservation, flood risk management, forest resources management, infrastructure and construction management, agriculture and precision farming, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
\nThe National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153017","usgsCitation":"Carswell, W., 2015, The 3D Elevation Program: summary for West Virginia (Version 1.0: Originally posted March 23, 2015; Version: 1.1: June 25, 2015): U.S. Geological Survey Fact Sheet 2015-3017, 2 p., https://doi.org/10.3133/fs20153017.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059937","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":298860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153017.jpg"},{"id":298858,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3017/"},{"id":298859,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3017/pdf/fs2015-3017.pdf","text":"Report","size":"493 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Jr. carswell@usgs.gov","contributorId":127609,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":541905,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70145169,"text":"70145169 - 2015 - Observing a catastrophic thermokarst lake drainage in northern Alaska","interactions":[],"lastModifiedDate":"2015-06-04T10:23:09","indexId":"70145169","displayToPublicDate":"2015-03-23T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3032,"text":"Permafrost and Periglacial Processes","active":true,"publicationSubtype":{"id":10}},"title":"Observing a catastrophic thermokarst lake drainage in northern Alaska","docAbstract":"The formation and drainage of thermokarst lakes have reshaped ice-rich permafrost lowlands in the Arctic throughout the Holocene. North of Teshekpuk Lake, on the Arctic Coastal Plain of northern Alaska, thermokarst lakes presently occupy 22.5% of the landscape, and drained thermokarst lake basins occupy 61.8%. Analysis of remotely sensed imagery indicates that nine lakes (>10 ha) have drained in the 1,750 km2 study area between 1955 and 2014. The most recent lake drainage was observed using in situ data loggers providing information on the duration and magnitude of the event, and a nearby weather station provided information on the environmental conditions preceding the lake drainage. Lake 195 (L195), an 80 ha thermokarst lake with an estimated water volume of ~872,000 m3, catastrophically drained on 05 July 2014. Abundant winter snowfall and heavy early summer precipitation resulted in elevated lake water levels that likely promoted bank overtopping, thermo-erosion along an ice-wedge network, and formation of a 9 m wide, 2 m deep, and 70 m long drainage gully. The lake emptied in 36 hours, with 75% of the water volume loss occurring in the first ten hours. The observed peak discharge of the resultant flood was 25 m3/s, which is similar to that in northern Alaska river basins whose areas are more than two orders of magnitude larger. Our findings support the catastrophic nature of sudden lake drainage events and the mechanistic hypotheses developed by J. Ross Mackay.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, Sussex, England","doi":"10.1002/ppp.1842","usgsCitation":"Jones, B.M., and Arp, C.D., 2015, Observing a catastrophic thermokarst lake drainage in northern Alaska: Permafrost and Periglacial Processes, v. 26, no. 2, p. 119-128, https://doi.org/10.1002/ppp.1842.","productDescription":"10 p.","startPage":"119","endPage":"128","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058922","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":299375,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.11346435546875,\n 70.64814065995955\n ],\n [\n -153.81683349609375,\n 70.72897946208789\n ],\n [\n -153.7152099609375,\n 70.7235398817235\n ],\n [\n -153.621826171875,\n 70.73441756577733\n ],\n [\n -153.4405517578125,\n 70.69995129442536\n ],\n [\n -153.358154296875,\n 70.63630548079054\n ],\n [\n -153.33892822265625,\n 70.6381267305321\n ],\n [\n -153.33343505859375,\n 70.65451056704278\n ],\n [\n -153.27301025390625,\n 70.66724433235791\n ],\n [\n -153.204345703125,\n 70.66087845765566\n ],\n [\n -153.18511962890625,\n 70.64723050859092\n ],\n [\n -153.14117431640625,\n 70.64905077016431\n ],\n [\n -153.072509765625,\n 70.64267913423242\n ],\n [\n -152.984619140625,\n 70.59984587310147\n ],\n [\n -152.6165771484375,\n 70.55966406981804\n ],\n [\n -152.51495361328125,\n 70.58250444499285\n ],\n [\n -152.314453125,\n 70.57885171945057\n ],\n [\n -152.2979736328125,\n 70.60167042013317\n ],\n [\n -152.43255615234375,\n 70.61352595482504\n ],\n [\n -152.48199462890625,\n 70.69268768325199\n ],\n [\n -152.43804931640625,\n 70.69541184552675\n ],\n [\n -152.37762451171875,\n 70.7153777416415\n ],\n [\n -152.303466796875,\n 70.78148599387845\n ],\n [\n -152.2100830078125,\n 70.79594631369068\n ],\n [\n -152.20184326171875,\n 70.81761716431917\n ],\n [\n -152.38861083984375,\n 70.85728594792577\n ],\n [\n -152.59185791015625,\n 70.88338810016397\n ],\n [\n -152.70721435546872,\n 70.88338810016397\n ],\n [\n -152.78961181640625,\n 70.882488596545\n ],\n [\n -152.83905029296875,\n 70.84917830714011\n ],\n [\n -153.0010986328125,\n 70.88878426638139\n ],\n [\n -153.0560302734375,\n 70.9121507137758\n ],\n [\n -153.26202392578125,\n 70.9202326894952\n ],\n [\n -153.4844970703125,\n 70.88518698518163\n ],\n [\n -153.70422363281247,\n 70.88968348485005\n ],\n [\n -153.80859375,\n 70.88878426638139\n ],\n [\n -153.95416259765622,\n 70.87889017463034\n ],\n [\n -153.93768310546872,\n 70.87169137475729\n ],\n [\n -153.995361328125,\n 70.82303119876653\n ],\n [\n -154.039306640625,\n 70.81220165893917\n ],\n [\n -154.17388916015625,\n 70.76791992927899\n ],\n [\n -154.237060546875,\n 70.77696499572423\n ],\n [\n -154.31121826171875,\n 70.79413934642666\n ],\n [\n -154.34967041015625,\n 70.78239007072987\n ],\n [\n -154.43756103515622,\n 70.70085906098585\n ],\n [\n -154.11346435546875,\n 70.64814065995955\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-23","publicationStatus":"PW","scienceBaseUri":"5523ae40e4b027f0aee3d141","chorus":{"doi":"10.1002/ppp.1842","url":"http://dx.doi.org/10.1002/ppp.1842","publisher":"Wiley-Blackwell","authors":"Jones Benjamin M., Arp Christopher D.","journalName":"Permafrost and Periglacial Processes","publicationDate":"3/23/2015","auditedOn":"9/9/2015"},"contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":544014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":544015,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70141851,"text":"sir20155030 - 2015 - Hydrologic characteristics of low-impact stormwater control measures at two sites in northeastern Ohio, 2008-13","interactions":[],"lastModifiedDate":"2015-03-20T12:40:05","indexId":"sir20155030","displayToPublicDate":"2015-03-20T13:30:00","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":"2015-5030","title":"Hydrologic characteristics of low-impact stormwater control measures at two sites in northeastern Ohio, 2008-13","docAbstract":"This report updates and examines hydrologic data gathered to characterize the performance of two stormwater-control measure (SCM) sites in the Chagrin River watershed, Ohio. At the Sterncrest Drive site, roadside bioswales and rain gardens were used to alleviate drainage problems in this residential neighborhood area. At the Washington Street site, a treatment train (including a pervious-paver system, rain garden, and bioswales) was used to reduce and delay stormwater runoff at a small business development. Selected metrics were used to demonstrate SCM system performance with regard to stormwater-management objectives at each site. Rain-garden overflow-frequency data collected at the Sterncrest Drive site during 2008–13 were used to characterize system sensitivity to rainfall characteristics. Approximately 70 percent of storms exceeding 0.75 inches during 3 hours or more resulted in overflows. Drainage-design features that may restrict flow through the system were identified. Overall, the data and local observations confirmed the continued success of the SCM at the Sterncrest Drive site in preventing roadway closure due to flooding. The additional years of data collected at the Washington Street site indicated that a previous analysis of increased runoff removal, based on only the first 2 years (2009–10) of data, provided premature conclusions. With 5 years of data (2009–13) and adjusting for changes in rainfall characteristics, it appears that the percentage of runoff removed by the system is decreasing; however, the lag time (time from onset of rainfall to runoff) has remained nearly constant. The annual mean percent removal for 2010–13 ranged from 55 to 37 percent with an overall mean of 45 percent, and this does meet the project objective of reducing runoff from the business complex. One possible explanation for the combination of increased volume of runoff and no change in the timing of runoff is the preferential flow paths developed in the SCM, increasing the capacity for internal drainage. Data indicated that the SCM system at the Washington Street site had reduced functionality over time.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155030","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Office of Research and Development","usgsCitation":"Darner, R.A., Shuster, W.D., and Dumouchelle, D.H., 2015, Hydrologic characteristics of low-impact stormwater control measures at two sites in northeastern Ohio, 2008-13: U.S. Geological Survey Scientific Investigations Report 2015-5030, v, 27 p., https://doi.org/10.3133/sir20155030.","productDescription":"v, 27 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-056876","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":298841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155030.jpg"},{"id":298839,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5030/"},{"id":298840,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5030/pdf/sir2015-5030.pdf","size":"3.69 MB","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Ohio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.47838592529297,\n 41.381703200976666\n ],\n [\n -81.47838592529297,\n 41.45301999377133\n ],\n [\n -81.34620666503906,\n 41.45301999377133\n ],\n [\n -81.34620666503906,\n 41.381703200976666\n ],\n [\n -81.47838592529297,\n 41.381703200976666\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550d369ce4b02e76d759d869","contributors":{"authors":[{"text":"Darner, Robert A. 0000-0003-1333-8265 radarner@usgs.gov","orcid":"https://orcid.org/0000-0003-1333-8265","contributorId":1972,"corporation":false,"usgs":true,"family":"Darner","given":"Robert","email":"radarner@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shuster, William D.","contributorId":139413,"corporation":false,"usgs":false,"family":"Shuster","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":543010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dumouchelle, Denise H. ddumouch@usgs.gov","contributorId":1847,"corporation":false,"usgs":true,"family":"Dumouchelle","given":"Denise","email":"ddumouch@usgs.gov","middleInitial":"H.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543011,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70139410,"text":"sir20155013 - 2015 - Seismic-sequence stratigraphy and geologic structure of the Floridan aquifer system near \"Boulder Zone\" deep wells in Miami-Dade County, Florida","interactions":[],"lastModifiedDate":"2015-03-20T11:46:21","indexId":"sir20155013","displayToPublicDate":"2015-03-20T12:45:00","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":"2015-5013","title":"Seismic-sequence stratigraphy and geologic structure of the Floridan aquifer system near \"Boulder Zone\" deep wells in Miami-Dade County, Florida","docAbstract":"The U.S. Geological Survey, in cooperation with the Miami-Dade Water and Sewer Department, acquired, processed, and interpreted seismic-reflection data near the North and South District “Boulder Zone” Well Fields to determine if geologic factors may contribute to the upward migration of injected effluent into that upper part of the Floridan aquifer system designated by the U.S. Environmental Protection Agency as an underground source of drinking water. The depth of the Boulder Zone at the North and South District “Boulder Zone” Well Fields ranges from about 2,750 to 3,300 feet below land surface (ft bls), whereas overlying permeable zones used as alternative drinking water supply range in depth from about 825 to 1,580 ft bls at the North and South District “Boulder Zone” Well Fields. Seismic-sequence stratigraphy and geologic structures imaged on seismic-reflection profiles created for the study describe the part of the Floridan aquifer system overlying and within the Boulder Zone. Features of the Floridan aquifer system underlying the Boulder Zone were not studied because seismic-reflection profiles acquired near the North and South District “Boulder Zone” Well Fields lacked adequate resolution at such depths.
\nStratigraphic analysis of seismic-reflection data collected from the study area was mainly applied to the Floridan aquifer system and used to identify four provisional seismic sequences, which extend vertically from near the base of the Floridan aquifer system upward to the lower part of the intermediate confining unit. These four seismic sequences compose a framework in which each sequence includes a major permeable unit of the Floridan aquifer system; from shallowest to deepest, these units are the Upper Floridan aquifer, Avon Park permeable zone, uppermost major permeable zone of the Lower Floridan aquifer, and Boulder Zone. The relations between seismic-sequence stratigraphy and hydrostratigraphy allow for detailed mapping of permeable zones and semiconfining units of the Floridan aquifer system at a level of resolution never before accomplished using well data alone.
\nIn addition to the preceding seismic-reflection analysis, interpretation of geophysical well log data from four effluent injection wells at the North District “Boulder Zone” Well Field delineated a narrow karst collapse structure beneath the injection facility that extends upward about 900 ft from the top of the Boulder Zone to about 125 ft above the top of the uppermost major permeable zone of the Lower Floridan aquifer. No karst collapse structures were identified in the seismic-reflection profiles acquired near the North District “Boulder Zone” Well Field. However, karst collapse structures at the level of the lowermost major permeable zone of the Lower Floridan aquifer at the South District “Boulder Zone” Well Field are present at three locations, as indicated by seismic-reflection data acquired in the C–1 Canal bordering the south side of the injection facility. Results from the North District “Boulder Zone” Well Field well data indicate that a plausible hydraulic connection between faults and stratiform permeability zones may contribute to the upward transport of effluent, terminating above the base of the deepest U.S. Environmental Protection Agency designated underground source of drinking water at the North District “Boulder Zone” Well Field.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155013","collaboration":"Prepared in cooperation with the Miami-Dade Water and Sewer Department","usgsCitation":"Cunningham, K.J., 2015, Seismic-sequence stratigraphy and geologic structure of the Floridan aquifer system near \"Boulder Zone\" deep wells in Miami-Dade County, Florida: U.S. Geological Survey Scientific Investigations Report 2015-5013, Report: vii, 28 p.; 2 Plates: 48.00 x 36.00 inches and 35.86 x 31.74 inches, https://doi.org/10.3133/sir20155013.","productDescription":"Report: vii, 28 p.; 2 Plates: 48.00 x 36.00 inches and 35.86 x 31.74 inches","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051033","costCenters":[{"id":269,"text":"FLWSC-Ft. 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In 2006, the USGS held the first Scientific Information Management Workshop to bring together staff from across the organization to discuss the data and information management issues affecting the integration and delivery of earth science research and investigate the use of “communities of practice” as mechanisms to share expertise about these issues. Out of this effort emerged the Council for Data Integration, which was conceived as an official organizational function that would help guide data integration activities and formalize communities of practice into working groups. However by 2009, it became apparent that many members of the council had an interest in developing data integration solutions and sharing expertise in a less formal grassroots perspective, thus transforming the “Council” into a “Community” for Data Integration (CDI). Today, the CDI represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the USGS and the CDI community.
\nThe CDI fosters an environment for collaboration and sharing by bringing together expertise from external partners and representatives across USGS who are involved in research, data management, and information technology. Membership is voluntary and open to USGS employees and other individuals and organizations willing to contribute to the community (if interested, contact cdi@usgs.gov). The purpose of the CDI is to
\nTo achieve these goals, the CDI operates within four applied areas: monthly forums, annual workshop/webinar series, working groups, and projects. The monthly forums, also known as the Opportunity/Challenge of the Month, provide an open dialogue to share and learn about data integration efforts or to present problems that invite the Community to offer solutions, advice, and support. Since 2010, the CDI has also sponsored annual workshops/webinar series to encourage the exchange of ideas, sharing of activities, presentations of current projects, and networking among members. Stemming from common interests, the working groups are focused on efforts to address data management and technical 2 challenges, including the development of standards and tools, improving interoperability and information infrastructure, and data preservation within USGS and its partners. The growing support for the activities of the working groups led to the CDI’s first formal request for proposals (RFP) process in 2013 to fund projects that produced tangible products. Today the CDI continues to hold an annual RFP that create data management tools and practices, collaboration tools, and training in support of data integration and delivery.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151005","usgsCitation":"Chang, M.Y., Carlino, J., Barnes, C., Blodgett, D.L., Bock, A.R., Everette, A.L., Fernette, G., Flint, L.E., Gordon, J.M., Govoni, D.L., Hay, L.E., Henkel, H., Hines, M., Holl, S.L., Homer, C.G., Hutchison, V., Ignizio, D., Kern, T., Lightsom, F.L., Markstrom, S., O’Donnell, M.S., Schei, J.L., Schmid, L.A., Schoephoester, K.M., Schweitzer, P.N., Skagen, S.K., Sullivan, D.J., Talbert, C., and Warren, M.P., 2015, Community for Data Integration 2013 Annual Report: U.S. Geological Survey Open-File Report 2015-1005, v, 36 p., https://doi.org/10.3133/ofr20151005.","productDescription":"v, 36 p.","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057786","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":298831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151005.jpg"},{"id":298829,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1005/"},{"id":298830,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1005/pdf/ofr2015-1005.pdf","size":"2.76 MB","linkFileType":{"id":1,"text":"pdf"}}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550d3698e4b02e76d759d864","contributors":{"authors":[{"text":"Chang, Michelle Y. mchang@usgs.gov","contributorId":5880,"corporation":false,"usgs":true,"family":"Chang","given":"Michelle","email":"mchang@usgs.gov","middleInitial":"Y.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":542960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlino, Jennifer jcarlino@usgs.gov","contributorId":5881,"corporation":false,"usgs":true,"family":"Carlino","given":"Jennifer","email":"jcarlino@usgs.gov","affiliations":[{"id":5076,"text":"Federal Geographic Data Committee","active":true,"usgs":true}],"preferred":false,"id":542961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, Christopher 0000-0002-4608-4364 barnes@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":3617,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher","email":"barnes@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":542962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":542963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bock, Andrew R. 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":4580,"corporation":false,"usgs":true,"family":"Bock","given":"Andrew","email":"abock@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542964,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Everette, Anthony L. 0000-0003-2539-9129 everettel@usgs.gov","orcid":"https://orcid.org/0000-0003-2539-9129","contributorId":4905,"corporation":false,"usgs":true,"family":"Everette","given":"Anthony","email":"everettel@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":542965,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fernette, Gregory L. gfernette@usgs.gov","contributorId":4224,"corporation":false,"usgs":true,"family":"Fernette","given":"Gregory L.","email":"gfernette@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":542966,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542973,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gordon, Janice M. janicegordon@usgs.gov","contributorId":4917,"corporation":false,"usgs":true,"family":"Gordon","given":"Janice","email":"janicegordon@usgs.gov","middleInitial":"M.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":542974,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Govoni, David L. dgovoni@usgs.gov","contributorId":5192,"corporation":false,"usgs":true,"family":"Govoni","given":"David","email":"dgovoni@usgs.gov","middleInitial":"L.","affiliations":[{"id":5071,"text":"Office of Administration","active":true,"usgs":true}],"preferred":true,"id":542975,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":542976,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Henkel, Heather S. hhenkel@usgs.gov","contributorId":2869,"corporation":false,"usgs":true,"family":"Henkel","given":"Heather S.","email":"hhenkel@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":542977,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hines, Megan 0000-0002-9845-4849 mhines@usgs.gov","orcid":"https://orcid.org/0000-0002-9845-4849","contributorId":4783,"corporation":false,"usgs":true,"family":"Hines","given":"Megan","email":"mhines@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542978,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Holl, Sally L. sholl@usgs.gov","contributorId":4464,"corporation":false,"usgs":true,"family":"Holl","given":"Sally","email":"sholl@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542979,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":542980,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hutchison, Vivian B. 0000-0001-5301-3698 vhutchison@usgs.gov","orcid":"https://orcid.org/0000-0001-5301-3698","contributorId":5100,"corporation":false,"usgs":true,"family":"Hutchison","given":"Vivian B.","email":"vhutchison@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":542981,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ignizio, Drew A. 0000-0001-8054-5139 dignizio@usgs.gov","orcid":"https://orcid.org/0000-0001-8054-5139","contributorId":4822,"corporation":false,"usgs":true,"family":"Ignizio","given":"Drew A.","email":"dignizio@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":542982,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Kern, Tim J. kernt@usgs.gov","contributorId":4454,"corporation":false,"usgs":true,"family":"Kern","given":"Tim J.","email":"kernt@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":542983,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Lightsom, Frances L. 0000-0003-4043-3639 flightsom@usgs.gov","orcid":"https://orcid.org/0000-0003-4043-3639","contributorId":1535,"corporation":false,"usgs":true,"family":"Lightsom","given":"Frances","email":"flightsom@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":542984,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - 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2015 - Geophysical log analysis of selected test and residential wells at the Shenandoah Road National Superfund Site, East Fishkill, Dutchess County, New York","interactions":[],"lastModifiedDate":"2015-03-20T09:35:52","indexId":"sir20145228","displayToPublicDate":"2015-03-20T10:30:00","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":"2014-5228","title":"Geophysical log analysis of selected test and residential wells at the Shenandoah Road National Superfund Site, East Fishkill, Dutchess County, New York","docAbstract":"The U.S. Geological Survey collected and analyzed geophysical logs from 20 test wells and 23 residential wells at the Shenandoah Road National Superfund Site in East Fishkill, New York, from 2006 through 2010 as part of an Interagency Agreement to provide hydrogeologic technical support to the U.S. Environmental Protection Agency, Region 2. The geophysical logs collected include caliper, gamma, acoustic and optical televiewer, deviation, electromagnetic-induction, magnetic-susceptibility, fluid-property, and flow under ambient and pumped conditions. The geophysical logs were analyzed along with single-well aquifer test data and drilling logs to characterize the lithology, fabric, fractures, and flow zones penetrated by the wells. The results of the geophysical log analysis were used as part of the hydrogeologic characterization of the site and in the design of discrete-zone monitoring installations in the test wells and selected residential wells.
\nMost of the logged test and residential wells penetrated gneiss of the Hudson Highlands Complex or dolostones in the Wappinger Group, and some wells penetrated both the dolostone and gneiss. The bedrock fabric reflects the regional northeast-southwest structural trend, as well as localized folding, and includes foliation in the gneiss and bedding in the dolostone. Many fractures were oriented along the bedrock fabric, whereas others were orthogonal to the fabric.
\nTotal wellbore transmissivity of the wells was estimated from short-term, single-well aquifer test data through the use of the Cooper-Jacob analytical solution. An empirical relation was established to estimate total wellbore transmissivity from specific-capacity data for wells with insufficient transient drawdown measurements. Wellbore transmissivity estimates ranged from 0.36 to 370 feet squared per day (ft2/d), whereas specific capacities ranged from 0.03 to 2.1 gallons per minute per foot ((gal/min)/ft).
\nTransmissivity and hydraulic heads of individual fracture zones were estimated from the total wellbore transmissivity and flow logs through use of an analytical model based on the Thiem equation. The model-estimated transmissivity of 95 fracture zones delineated in the 43 wells ranged from 0.25 to 340 ft2/d, with a median value of 6.7 ft2/d. The difference between model-estimated fracture-zone heads and the composite heads in each well ranged from less 0.01 to more than 10 feet (ft). Flow-log analysis generally provided an order of magnitude estimate for the fracture-zone hydraulic-head difference on the basis of a comparison of estimated and measured values.
\nThe geophysical logs and their analyses are available for display and download from the U.S. Geological Survey, New York Water Science Center, online geophysical log archive (http://ny.water.usgs.gov/maps/geologs/) in LAS (Log ASCII Standard), PDF, and WellCad formats.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145228","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Reynolds, R.J., Anderson, J.A., and Williams, J., 2015, Geophysical log analysis of selected test and residential wells at the Shenandoah Road National Superfund Site, East Fishkill, Dutchess County, New York: U.S. Geological Survey Scientific Investigations Report 2014-5228, Report: viii, 30 p.; Geophysical Log Archive; WellCad reader download, https://doi.org/10.3133/sir20145228.","productDescription":"Report: viii, 30 p.; Geophysical Log Archive; WellCad reader download","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042201","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":298827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145228.jpg"},{"id":298824,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5228/pdf/sir2014-5228.pdf","size":"2.38 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":298825,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://ny.water.usgs.gov/maps/geologs/","text":"Geophysical Log Archive","linkHelpText":"The USGS New York Water Science Center has developed an online geophysical log archive where the logs and log analysis of the Shenandoah Road Superfund site wells, as well as many others throughout the State, can be viewed or downloaded."},{"id":298823,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5228/"},{"id":298826,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://www.alt.lu/downloads.htm","text":"WellCad reader download","linkHelpText":"The locations of the Shenandoah Road National Superfund Site wells are shown on the index map. The user can zoom-in to the well cluster located just east of Fishkill, N.Y., to expand the view of the wells logged. Clicking on an individual well will bring up a menu of the available log formats, which are LAS, PDF, and WellCad Reader. WellCad Reader is available online free of charge."}],"scale":"24000","country":"United States","state":"New York","county":"Dutchess County","city":"East Fishkill","otherGeospatial":"Shenandoah Road National Superfund Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.80074501037598,\n 41.5186034007529\n ],\n [\n -73.80074501037598,\n 41.545075129729334\n ],\n [\n -73.7743091583252,\n 41.545075129729334\n ],\n [\n -73.7743091583252,\n 41.5186034007529\n ],\n [\n -73.80074501037598,\n 41.5186034007529\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550d369be4b02e76d759d867","contributors":{"authors":[{"text":"Reynolds, Richard J. 0000-0001-5032-6613 rjreynol@usgs.gov","orcid":"https://orcid.org/0000-0001-5032-6613","contributorId":1082,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rjreynol@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":536842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, J. Alton aanders@usgs.gov","contributorId":1602,"corporation":false,"usgs":true,"family":"Anderson","given":"J.","email":"aanders@usgs.gov","middleInitial":"Alton","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":536840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":536841,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70142754,"text":"ofr20151043 - 2015 - Surface and subsurface microgravity data in the vicinity of Sanford Underground Research Facility, Lead, South Dakota","interactions":[],"lastModifiedDate":"2015-03-19T11:57:37","indexId":"ofr20151043","displayToPublicDate":"2015-03-19T13:00:00","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":"2015-1043","title":"Surface and subsurface microgravity data in the vicinity of Sanford Underground Research Facility, Lead, South Dakota","docAbstract":"Absolute gravity data were collected at 32 stations in the vicinity of the Sanford Underground Research Facility from 2007 through 2014 for the purpose of monitoring groundwater storage change during dewatering of the former Homestake gold mine in the Black Hills of South Dakota, the largest and deepest underground mine in North America. Eight underground stations are at depths from 300 feet below land surface to 4,850 feet below land surface. Surface stations were located using Global Positioning System observations, and subsurface stations were located on the basis of maps constructed from survey measurements made while the mine was in operation. Gravity varies widely at many stations; however, no consistent temporal trends are present across all stations during the 7-year period of data collection.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151043","usgsCitation":"Kennedy, J.R., Koth, K.R., and Carruth, R., 2015, Surface and subsurface microgravity data in the vicinity of Sanford Underground Research Facility, Lead, South Dakota: U.S. Geological Survey Open-File Report 2015-1043, vi, 32 p., https://doi.org/10.3133/ofr20151043.","productDescription":"vi, 32 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062938","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":298757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151043.jpg"},{"id":298755,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1043/"},{"id":298756,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1043/downloads/OFR2015-1043.pdf","text":"Report","size":"5.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"South Dakota","city":"Lead","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.90869140625,\n 44.286502899553156\n ],\n [\n -103.90869140625,\n 44.42397290075389\n ],\n [\n -103.63128662109375,\n 44.42397290075389\n ],\n [\n -103.63128662109375,\n 44.286502899553156\n ],\n [\n -103.90869140625,\n 44.286502899553156\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550be51be4b02e76d759cdce","contributors":{"authors":[{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koth, Karl R. kkoth@usgs.gov","contributorId":4817,"corporation":false,"usgs":true,"family":"Koth","given":"Karl","email":"kkoth@usgs.gov","middleInitial":"R.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carruth, Rob 0000-0001-7008-2927 rlcarr@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-2927","contributorId":1162,"corporation":false,"usgs":true,"family":"Carruth","given":"Rob","email":"rlcarr@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542105,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160090,"text":"70160090 - 2015 - A review of the global relationship among freshwater fish, autotrophic activity, and regional climate","interactions":[],"lastModifiedDate":"2015-12-14T11:44:15","indexId":"70160090","displayToPublicDate":"2015-03-19T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"A review of the global relationship among freshwater fish, autotrophic activity, and regional climate","docAbstract":"The relationship between autotrophic activity and freshwater fish populations is an important consideration for ecologists describing trophic structure in aquatic communities, fisheries managers tasked with increasing sustainable fisheries development, and fish farmers seeking to maximize production. Previous studies of the empirical relationships of autotrophic activity and freshwater fish yield have found positive relationships but were limited by small sample sizes, small geographic scopes, and the inability to compare patterns among many types of measurement techniques. Individual studies and reviews have also lacked consistent consideration of regional climate factors which may inform relationships between fisheries and autotrophic activity. We compiled data from over 700 freshwater systems worldwide and used meta-analysis and linear models to develop a comprehensive global synthesis between multiple metrics of autotrophic activity, fisheries, and climate indicators. Our results demonstrate that multiple metrics of fish (i.e., catch per unit effort, yield, and production) increase with autotrophic activity across a variety of fisheries. At the global scale additional variation in this positive relationship can be ascribed to regional climate differences (i.e., temperature and precipitation) across systems. Our results provide a method and proof-of-concept for assessing inland fisheries production at the global scale, where current estimates are highly uncertain, and may therefore inform the continued sustainable use of global inland fishery resources.
","language":"English","publisher":"Springer","doi":"10.1007/s11160-015-9384-z","usgsCitation":"Deines, A., Bunnell, D., Rogers, M.W., Beard, T., and Taylor, W., 2015, A review of the global relationship among freshwater fish, autotrophic activity, and regional climate: Reviews in Fish Biology and Fisheries, v. 25, no. 2, p. 323-336, https://doi.org/10.1007/s11160-015-9384-z.","productDescription":"14 p.","startPage":"323","endPage":"336","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055723","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":312247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-19","publicationStatus":"PW","scienceBaseUri":"566ff63ae4b09cfe53ca7963","contributors":{"authors":[{"text":"Deines, Andrew M.","contributorId":94601,"corporation":false,"usgs":true,"family":"Deines","given":"Andrew M.","affiliations":[],"preferred":false,"id":581847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. dbunnell@usgs.gov","contributorId":141167,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":581846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":581848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beard, T. Douglas Jr. dbeard@usgs.gov","contributorId":150495,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":581849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":581850,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70142048,"text":"sir20155037 - 2015 - Estimated freshwater withdrawals in Washington, 2010","interactions":[],"lastModifiedDate":"2015-03-18T10:05:48","indexId":"sir20155037","displayToPublicDate":"2015-03-18T11:00:00","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":"2015-5037","title":"Estimated freshwater withdrawals in Washington, 2010","docAbstract":"Every 5 years since 1950, the U.S. Geological Survey (USGS) has compiled data on the amount of water used in homes, businesses, industries, and farms throughout the State. This water-use data, combined with other related USGS information, has facilitated a unique understanding of the effects of human activity on the State’s water resources. As water availability continues to emerge as an important issue in the 21st century, the need for consistent, long-term water-use data will increase to support wise use of this essential natural resource.
\nThe amount of public- and self-supplied water used for domestic, irrigation, livestock, aquaculture, industrial, mining, and thermoelectric power was estimated for state, county, and eastern and western regions of Washington during calendar year 2010. Withdrawals of freshwater for offstream uses were estimated to be about 4,885 million gallons per day. The total estimated freshwater withdrawals for 2010 was approximately 15 percent less than the 2005 estimate because of decreases in irrigation and thermoelectric power withdrawals.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155037","usgsCitation":"Lane, R.C., and Welch, W.B., 2015, Estimated freshwater withdrawals in Washington, 2010: U.S. Geological Survey Scientific Investigations Report 2015-5037, 48 p., https://dx.doi.org/10.3133/sir20155037.","productDescription":"v, 48 p.","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-061245","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":298679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155037.jpg"},{"id":298678,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5037/"},{"id":298663,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5037/pdf/sir2015-5037.pdf","text":"Report","size":"18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PDF of report"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.78271484375,\n 45.55252525134013\n ],\n [\n -124.78271484375,\n 48.99463598353408\n ],\n [\n -117.04833984375001,\n 48.99463598353408\n ],\n [\n -117.04833984375001,\n 45.55252525134013\n ],\n [\n -124.78271484375,\n 45.55252525134013\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
http://wa.water.usgs.gov
Assessing the physical change to shorelines and wetlands is critical in determining the resiliency of wetland systems that protect adjacent habitat and communities. The wetland and back-barrier shorelines of Assateague Island, located in Maryland and Virginia, changed as a result of wave action and storm surge that occurred during Hurricane Sandy in 2012. As part of the U.S. Geological Survey Coastal and Marine Geology Program, the impact of Hurricane Sandy will be assessed and placed in its historical context to understand the future vulnerability of wetland systems. Making these assessments will rely on data extracted from current and historical resources such as maps, aerial photographs, satellite imagery, and lidar elevation data, which document physical changes over time.
\nThis Data Series Report includes several open-ocean shorelines, back-island shorelines, back-island shoreline points, sand area polygons, and sand lines for Assateague Island that were extracted from natural-color orthoimagery (aerial photography) dated from April 12, 1989, to September 5, 2013. The images used were 0.3–2-meter (m)-resolution U.S. Geological Survey Digital Orthophoto Quarter Quads (DOQQ), U.S. Department of Agriculture National Agriculture Imagery Program (NAIP) images, and Virginia Geographic Information Network Virginia Base Map Program (VBMP) images courtesy of the Commonwealth of Virginia. The back-island shorelines were hand-digitized at the intersect of the apparent back-island shoreline and transects spaced at 20-m intervals. The open-ocean shorelines were hand-digitized at the approximate still water level, such as tide level, which was fit through the average position of waves and swash apparent on the beach. Hand-digitizing was done at a scale of approximately 1:2,000. The sand polygons were derived by using an image-processing unsupervised classification technique that separates images into classes. The classes were then visually categorized as either sand or not sand. Also included in this report are 20-m-spaced transect lines and the transect base lines.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds928","usgsCitation":"Guy, K.K., 2015, Back-island and open-ocean shorelines, and sand areas of Assateague Island, Maryland and Virginia, April 12, 1989, to September 5, 2013: U.S. Geological Survey Data Series 928, HTML Document, https://doi.org/10.3133/ds928.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1989-04-12","temporalEnd":"2013-09-05","ipdsId":"IP-062423","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":298699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds928.PNG"},{"id":298681,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0928/"},{"id":298697,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0928/ds928_abstract.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Report"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Assateague Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.0970458984375,\n 38.32711378564577\n ],\n [\n -75.08811950683594,\n 38.32334305552793\n ],\n [\n -75.18356323242186,\n 38.09728086978861\n ],\n [\n -75.36483764648438,\n 37.85208561975298\n ],\n [\n -75.38887023925781,\n 37.84612146910074\n ],\n [\n -75.4046630859375,\n 37.87431138542283\n ],\n [\n -75.37513732910156,\n 37.91495092582022\n ],\n [\n -75.35247802734375,\n 37.92145117009527\n ],\n [\n -75.31539916992188,\n 37.99508044703298\n ],\n [\n -75.11489868164062,\n 38.312568460056966\n ],\n [\n -75.0970458984375,\n 38.32711378564577\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550a9399e4b02e76d7590bb1","contributors":{"authors":[{"text":"Guy, Kristy K. kguy@usgs.gov","contributorId":3546,"corporation":false,"usgs":true,"family":"Guy","given":"Kristy","email":"kguy@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":542620,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70140270,"text":"sim3319 - 2015 - California State Waters Map Series: Offshore of Refugio Beach, California","interactions":[],"lastModifiedDate":"2022-04-18T20:02:15.825778","indexId":"sim3319","displayToPublicDate":"2015-03-18T10:15:00","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":"3319","title":"California State Waters Map Series: Offshore of Refugio Beach, California","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.
\nThe Offshore of Refugio Beach map lies within the western Santa Barbara Channel region of the Southern California Bight. This geologically complex region forms a major biogeographic transition zone, separating the cold-temperate Oregonian province north of Point Conception from the warm-temperate California province to the south. The map area is in the southern part of the Western Transverse Ranges geologic province, which is north of the California Continental Borderland. Significant clockwise rotation—at least 90°—since the early Miocene has been proposed for the Western Transverse Ranges province, and geodetic studies indicate that the region is presently undergoing north-south shortening. Uplift rates (as much as 0.5 mm/yr) that are based on studies of onland marine terraces provide further evidence of significant shortening.
\nThe coastal zone of this map area lies at the steep flank of the Santa Ynez Mountains. The crest of the range, which lies about 8 km from the shoreline (north of the map area), has a maximum elevation of about 780 m. This area is largely open space, partly used for livestock grazing, with no significant towns or population centers. Highway 101 crosses the map area, adjacent to and within a few hundred meters of the shoreline. The most significant developments are the recreational state beaches at El Capitan Beach and Refugio Beach. The beaches are subject to erosion each winter during storm-wave attack, and then they undergo gradual recovery or accretion during the more gentle wave climate of the late spring, summer, and fall months.
\nThe Offshore of Refugio Beach map area lies in the west-central part of the Santa Barbara littoral cell, which is characterized by west-to-east transport of sediment from Point Arguello on the northwest to Hueneme and Mugu Canyons on the southeast. Longshore drift rates have been reported to range from about 160,000 to 800,000 tons/yr, averaging 400,000 tons/yr. Sediment supply to the western and central part of the littoral cell, including the map area, is mainly from relatively small coastal watersheds. Within the map area, these coastal watersheds include (from east to west) Cañada del Capitan, Tajiquas Creek, Arroyo Hondo, Cañada del Molino, and several unnamed canyons and creeks. The Santa Ynez and Santa Maria Rivers, the mouths of which are 80 to 120 km northwest of the map area, are not considered significant sediment sources because Point Conception and Point Arguello provide obstacles to downcoast sediment transport and also because much of their sediment load is trapped in dams. The Ventura and Santa Clara Rivers, the mouths of which are about 70 km to the southeast of the map area, are not sediment sources for the map area.
\nThe offshore part of the map area consists of relatively flat and shallow continental shelf, which dips gently seaward (about 0.8° to 1.0°) so that water depths at the shelf break, roughly coincident with the California’s State Waters limit, are about 80 to 100 m. This part of the Santa Barbara Channel is relatively well protected from large Pacific swells from the north and northwest by Point Conception and from the south and southwest by offshore islands and banks. The shelf is underlain by variable amounts of upper Quaternary marine and fluvial sediments deposited as sea level fluctuated in the late Pleistocene.
\nIn the map area, the shelf break is at depths of about 90 m and lies about 5.6 to 6.4 km offshore. Beyond the shelf break, the slope is steep (as much as about 7°) and unstable. Several submarine landslides, including the large (130 km2) Goleta landslide complex, have been documented offshore of Goleta, a few kilometers east of the map area. This compound slump complex may have been initiated more than 200,000 year ago, but it also includes three recent failures that may have been generated 8,000 to 10,000 years ago. A local, 10-m-high tsunami may have been generated from these failure events.
\nSmall folds related to local faulting are superimposed on the homocline that makes up the south flank of the Santa Ynez Mountains. One of these superimposed anticlines hosts the Molino gas field, which was discovered in 1962 and subsequently developed through directional drilling from onshore wells. The Oligocene Sespe and Vaqueros Formations are the reservoirs in the Molino gas field, and the map area includes numerous seafloor hydrocarbon seeps.
\nSeafloor habitats in the broad Santa Barbara Channel region consist of significant amounts of soft, unconsolidated sediment interspersed with isolated areas of rocky habitat that support kelp-forest communities nearshore and rocky-reef communities in deep water. The potential marine benthic habitat types mapped in the Offshore of Refugio Beach map area are directly related to its Quaternary geologic history, geomorphology, and active sedimentary processes. These potential habitats, which lie primarily within the Shelf (continental shelf) but also partly within the Flank (basin flank or continental slope) megahabitats, primarily are composed of soft sediment interrupted by a few carbonate mounds. This homogeneous seafloor of sediment and low-relief bedrock provides promising habitat for groundfish, crabs, shrimp, and other marine benthic organisms.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3319","usgsCitation":"Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N.E., Phillips, E.L., Ritchie, A., Krigsman, L.M., Dieter, B.E., Conrad, J.E., Greene, H.G., Seitz, G.G., Endris, C.A., Sliter, R.W., Wong, F.L., Erdey, M.D., Gutierrez, C.I., Yoklavich, M.M., East, A., and Hart, P.E., 2015, California State Waters Map Series: Offshore of Refugio Beach, California: U.S. Geological Survey Scientific Investigations Map 3319, Pamphlet: iv, 42 p.; 11 Plates: 53.0 x 36.0 inches or smaller; Metadata: Data Catalog, https://doi.org/10.3133/sim3319.","productDescription":"Pamphlet: iv, 42 p.; 11 Plates: 53.0 x 36.0 inches or smaller; Metadata: Data Catalog","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043010","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science 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Biosolids have characteristics that may be beneficial to soil and plants. Land application can take advantage of these beneficial qualities, whereas disposal in landfills or incineration poses no beneficial use of the waste. Some independent studies and laboratory analysis, however, have shown that land-applied biosolids can pose a threat to human health and surface-water and groundwater quality. The effect of municipal biosolids applied to agriculture fields is largely unknown in relation to the delivery of nutrients, bacteria, metals, and contaminants of emerging concern to surface-water and groundwater resources. Therefore, the North Carolina Department of Environment and Natural Resources (NCDENR) collaborated with the U.S. Geological Survey (USGS) through the 319 Nonpoint Source Program to better understand the transport of nutrients and bacteria from biosolids application fields to groundwater and surface water and to provide a scientific basis for evaluating the effectiveness of the current regulations.
\nThe USGS conducted a paired agricultural watershed study in the Collins Creek and Cane Creek Reservoir watersheds in Orange County, North Carolina. Field activities were conducted from March 2011 through May 2013 at two field study sites, including biosolids field application sites owned by Orange County Water and Sewer Authority (OWASA) in the Collins Creek watershed and a background study site in the Cane Creek watershed that has no fields receiving biosolids applications. Samples of biosolids source material and soil were collected from the land-application fields for laboratory analyses. Soil samples were also collected from a background agricultural field in the Cane Creek watershed that has never received land-applied municipal biosolids. Shallow groundwater samples were collected quarterly from new monitoring wells installed by NCDENR along the edge of the biosolids land-application fields and a background agricultural field for laboratory analyses. Two surface-water monitoring sites were established on Collins Creek to compute continuous streamflow and collect discrete baseflow and stormwater runoff water-quality data upstream and downstream from the biosolids land-application fields. Surface water-quality samples were also collected for baseflow and stormwater runoff conditions at an existing USGS streamgage on Cane Creek to monitor water-quality conditions in the background study watershed. The study primarily focused on nutrients and bacteria; however, data for field properties and water-quality constituents, including metals, major ions, and contaminants of emerging concern (household-, industrial-, and agricultural-use compounds, pharmaceutical compounds, hormones, and antibiotics) also were collected and used in the analyses.
\nThere were no exceedances of the 10 elements with designated U.S. Environmental Protection Agency (EPA) ceiling concentrations for land-applied biosolids in any of the biosolids samples. Treatment processes and storage techniques used by OWASA are effective in eliminating Escherichia coli and fecal coliform bacteria from biosolids. Copper, molybdenum, total Kjeldahl nitrogen, and total phosphorus were elevated in the soil from biosolids land-application fields relative to the background field. The relative richness of these constituents in the biosolids land-application fields is consistent with biosolids being the source of the elevated concentrations given the relatively high concentrations of these constituents in the biosolids samples that were collected.
\nShallow groundwater in the transitional zone wells, which were located adjacent to and topographically downgradient from all the biosolids land-application fields, were found to be statistically different and had higher nitrate concentrations (medians greater than 12 milligrams per liter) than all the other wells sampled as part of the study. Surface-water nutrient concentrations and yields, primarily nitrate, were higher at the monitoring site on Collins Creek downstream from the biosolids land-application fields than the other study sites that drained watersheds without biosolids land application. The largest differences in concentrations between sites were measured at baseflow conditions, which indicate that the main cause of these differences, particularly between Cane Creek and the Collins Creek site downstream from the OWASA application fields, is related to nitrate contribution from the shallow groundwater.
\nContaminants of emerging concern were detected in approximately 40 percent of the laboratory analyses of the biosolids samples and more frequently in soil samples from the biosolids land-application fields (approximately 40 percent of laboratory analyses) relative to the soil samples from the background field (approximately 12 percent of laboratory analyses). However, contaminants of emerging concern detected in the laboratory analysis for this study do not appear to be good indicators of human-waste contaminants derived from land-applied biosolids in groundwater or surface-water because the number of detections and concentrations at the background wells and surface-water monitoring sites are similar to or higher than those at wells and monitoring sites adjacent to or downstream from the biosolids land-application fields.
\nThe data, analysis, and conclusions associated with this study can be used by regulatory agencies, resource managers, and wastewater-treatment operators to (1) better understand the quantity and characteristics of nutrients, bacteria, metals, and contaminants of emerging concern that are transported away from biosolids land-application fields to surface water and groundwater under current regulations for the purposes of establishing effective total maximum daily loads (TMDLs) and restoring impaired water resources, (2) assess how well existing regulations protect waters of the State and potentially recommend effective changes to regulations or land-application procedures, and (3) establish a framework for developing guidance on effective techniques for monitoring and regulatory enforcement of permitted biosolids land-application fields.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145240","collaboration":"Prepared in cooperation with the North Carolina Department of Environment and Natural Resources 319 Nonpoint Source Program","usgsCitation":"Wagner, C., Fitzgerald, S.A., McSwain, K.B., Harden, S.L., Gurley, L., and Rogers, S.W., 2015, Effect of land-applied biosolids on surface-water nutrient yields and groundwater quality in Orange County, North Carolina: U.S. Geological Survey Scientific Investigations Report 2014-5240, Report: x, 106 p.; Appendixes 1-4, https://doi.org/10.3133/sir20145240.","productDescription":"Report: x, 106 p.; Appendixes 1-4","numberOfPages":"120","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-058328","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":298582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145240.jpg"},{"id":298579,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5240/appendix","text":"Appendixes 1-4","description":"Appendixes 1-5"},{"id":298577,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5240/"},{"id":298578,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5240/pdf/sir2014-5240.pdf","text":"Report","size":"4.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"U.S. Census Bureau Projection: North Carolina State Plane","datum":"North American Datum of 1983","country":"United States","state":"North Carolina","county":"Orange County","otherGeospatial":"Cane Creek Reservoir watershed, Collins Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.18087005615234,\n 35.94632704841525\n ],\n [\n -79.18953895568846,\n 35.93089971399348\n ],\n [\n -79.19992446899414,\n 35.92728566887712\n ],\n [\n -79.21073913574219,\n 35.93173370094518\n ],\n [\n -79.21932220458984,\n 35.94855056001542\n ],\n [\n -79.20730590820312,\n 35.98092335649322\n ],\n [\n -79.20867919921875,\n 36.00467348670187\n ],\n [\n -79.20421600341797,\n 36.02744467075585\n ],\n [\n -79.189453125,\n 36.03841136862611\n ],\n [\n -79.16061401367188,\n 36.03855017779992\n ],\n [\n -79.16009902954102,\n 35.97481105524676\n ],\n [\n -79.18087005615234,\n 35.94632704841525\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550a939de4b02e76d7590bb7","contributors":{"authors":[{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":38131,"text":"WMA - 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2015 - Data categories for marine planning","interactions":[],"lastModifiedDate":"2015-03-17T14:23:20","indexId":"ofr20151046","displayToPublicDate":"2015-03-17T15:15:00","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":"2015-1046","title":"Data categories for marine planning","docAbstract":"The U.S. National Ocean Policy calls for a science- and ecosystem-based approach to comprehensive planning and management of human activities and their impacts on America’s oceans. The Ocean Community in Data.gov is an outcome of 2010–2011 work by an interagency working group charged with designing a national information management system to support ocean planning. Within the working group, a smaller team developed a list of the data categories specifically relevant to marine planning. This set of categories is an important consensus statement of the breadth of information types required for ocean planning from a national, multidisciplinary perspective. Although the categories were described in a working document in 2011, they have not yet been fully implemented explicitly in online services or geospatial metadata, in part because authoritative definitions were not created formally. This document describes the purpose of the data categories, provides definitions, and identifies relations among the categories and between the categories and external standards. It is intended to be used by ocean data providers, managers, and users in order to provide a transparent and consistent framework for organizing and describing complex information about marine ecosystems and their connections to humans.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151046","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency and the National Oceanic and Atmospheric Administration","usgsCitation":"Lightsom, F.L., Cicchetti, G., and Wahle, C.M., 2015, Data categories for marine planning: U.S. Geological Survey Open-File Report 2015-1046, iii, 29 p., https://doi.org/10.3133/ofr20151046.","productDescription":"iii, 29 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-053310","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":298639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151046.jpg"},{"id":298638,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1046/pdf/ofr2015-1046.pdf","size":"2.09 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":298637,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1046/"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5509421de4b02e76d757d90f","contributors":{"authors":[{"text":"Lightsom, Frances L. 0000-0003-4043-3639 flightsom@usgs.gov","orcid":"https://orcid.org/0000-0003-4043-3639","contributorId":1535,"corporation":false,"usgs":true,"family":"Lightsom","given":"Frances","email":"flightsom@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":542209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cicchetti, Giancarlo","contributorId":139652,"corporation":false,"usgs":false,"family":"Cicchetti","given":"Giancarlo","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":542210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wahle, Charles M.","contributorId":139653,"corporation":false,"usgs":false,"family":"Wahle","given":"Charles","email":"","middleInitial":"M.","affiliations":[{"id":6637,"text":"National Oceanic and Atmospheric Administration, Northwest Fisheries Science Center, 2725 Montlake Blvd E, Seattle, WA 98112","active":true,"usgs":false}],"preferred":false,"id":542211,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70139748,"text":"ds918 - 2015 - Sample descriptions and geophysical logs for cored well BP-3-USGS, Great Sand Dunes National Park and Preserve, Alamosa County, Colorado","interactions":[],"lastModifiedDate":"2015-03-17T14:13:31","indexId":"ds918","displayToPublicDate":"2015-03-17T15:00:00","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":"918","title":"Sample descriptions and geophysical logs for cored well BP-3-USGS, Great Sand Dunes National Park and Preserve, Alamosa County, Colorado","docAbstract":"The BP-3-USGS well was drilled at the southwestern corner of Great Sand Dunes National Park in the San Luis Valley, south-central Colorado, 68 feet (ft, 20.7 meters [m]) southwest of the National Park Service’s boundary-piezometer (BP) well 3. BP-3-USGS is located at latitude 37°43ʹ18.06ʺN. and longitude 105°43ʹ39.30ʺW., at an elevation of 7,549 ft (2,301 m). The well was drilled through poorly consolidated sediments to a depth of 326 ft (99.4 m) in September 2009. Water began flowing from the well after penetrating a clay-rich layer that was first intercepted at a depth of 119 ft (36.3 m). The base of this layer, at an elevation of 7,415 ft (2,260 m) above sea level, likely marks the top of a regional confined aquifer recognized throughout much of the San Luis Valley. Approximately 69 ft (21 m) of core was recovered (about 21 percent), almost exclusively from clay-rich zones. Coarser grained fractions were collected from mud extruded from the core barrel or captured from upwelling drilling fluids. Natural gamma-ray, full waveform sonic, density, neutron, resistivity, spontaneous potential, and induction logs were acquired. The well is now plugged and abandoned.
\nThis report presents lithologic descriptions from the well samples and core, along with a compilation and basic data processing of the geophysical logs. The succession of sediments in the well can be generalized into three lithologic packages: (1) mostly sand from the surface to about 77 ft (23.5 m) depth; (2) interbedded sand, silt, and clay, decreasing in overall grain size downward, from 77 to 232 ft (23.5 to 70.7 m) depth; and (3) layers of massive clay alternating with layers of fine sand to silt from 232 to 326 ft (70.7 to 99.4 m), the total depth of the well. The topmost clay layers of the deepest package have a blue tint, prompting a correlation with the “blue clay” of the San Luis Valley that is commonly considered as the top of the confined aquifer. However, a confining clay was intercepted 113 ft (34.4 m) higher than the blue clay in BP-3-USGS.
\nMost of the geophysical logs have good correspondence to the lithologic variations in the well. Exceptions are the gamma-ray log, which is likely affected by naturally occurring radiation from abundant volcanic detritus, and one interval within the deepest lithologic package, which appears to be abnormally electrically conductive. Resistivity logs and variations in sand versus clay content within the well are consistent with electrical resistivity models derived from time-domain electromagnetic geophysical surveys for the area. In particular, the topmost blue clay corresponds to a strong electrical conductor that is prominent in the electromagnetic geophysical data throughout the park and vicinity.
\nBP-3-USGS was sited to test hypotheses developed from geophysical studies and to answer questions about the history and evolution of Pliocene and Pleistocene Lake Alamosa, which is represented by lacustrine deposits sampled by the well. The findings reported here represent a basis from which future studies can answer these questions and address other important scientific questions in the San Luis Valley regarding geologic history and climate change, groundwater hydrology, and geophysical interpretation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds918","collaboration":"Prepared in cooperation with National Park Service","usgsCitation":"Grauch, V.J., Skipp, G.L., Thomas, J.V., Davis, J.K., and Benson, M.E., 2015, Sample descriptions and geophysical logs for cored well BP-3-USGS, Great Sand Dunes National Park and Preserve, Alamosa County, Colorado: U.S. Geological Survey Data Series 918, Report: vi, 53 p.; Log files; Photographs, https://doi.org/10.3133/ds918.","productDescription":"Report: vi, 53 p.; Log files; Photographs","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059656","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":298635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds918.jpg"},{"id":298632,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0918/pdf/ds918.pdf","size":"3.10 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":298633,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0918/downloads/LogFiles/","text":"Log files--data for borehole geophysical logs"},{"id":298634,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0918/downloads/PhotoFiles/","text":"Photographs of samples taken onsite"},{"id":298630,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0918/"}],"country":"United States","state":"Colorado","otherGeospatial":"Great Sand Dune National Park, Great Sand Dune National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.754150390625,\n 37.00255267215955\n ],\n [\n -106.754150390625,\n 39.16414104768742\n ],\n [\n -104.117431640625,\n 39.16414104768742\n ],\n [\n -104.117431640625,\n 37.00255267215955\n ],\n [\n -106.754150390625,\n 37.00255267215955\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55094222e4b02e76d757d919","contributors":{"authors":[{"text":"Grauch, V. 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S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":542500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skipp, Gary L. 0000-0002-9404-0980 gskipp@usgs.gov","orcid":"https://orcid.org/0000-0002-9404-0980","contributorId":2102,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","email":"gskipp@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":542501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Jonathan V. 0000-0003-0903-9713 jvthomas@usgs.gov","orcid":"https://orcid.org/0000-0003-0903-9713","contributorId":2194,"corporation":false,"usgs":true,"family":"Thomas","given":"Jonathan","email":"jvthomas@usgs.gov","middleInitial":"V.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Joshua K.","contributorId":138996,"corporation":false,"usgs":false,"family":"Davis","given":"Joshua","email":"","middleInitial":"K.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":542503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benson, Mary Ellen 0000-0002-4424-0730 mbenson@usgs.gov","orcid":"https://orcid.org/0000-0002-4424-0730","contributorId":4724,"corporation":false,"usgs":true,"family":"Benson","given":"Mary","email":"mbenson@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":542504,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70142045,"text":"sir20155031 - 2015 - Dry season mean monthly flow and harmonic mean flow regression equations for selected ungaged basins in Arkansas","interactions":[],"lastModifiedDate":"2015-07-15T09:03:43","indexId":"sir20155031","displayToPublicDate":"2015-03-17T11:45:00","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":"2015-5031","title":"Dry season mean monthly flow and harmonic mean flow regression equations for selected ungaged basins in Arkansas","docAbstract":"The U.S. Geological Survey, in cooperation with the Arkansas Department of Environmental Quality, Southwestern Energy, the Arkansas Natural Resources Commission, and the Arkansas Game and Fish Commission, developed regression equations for estimation of dry season mean monthly flows and harmonic mean flows that are representative of natural streamflow conditions at selected ungaged basins in Arkansas. Observed values of dry season mean monthly flow and harmonic mean flow computed from daily-mean flow data were used with basin characteristics to identify significant explanatory variables for multiple-linear-regression equations to estimate predicted values of dry season mean monthly flow and harmonic mean flow. Five dry season mean monthly flow regression equations and two harmonic mean flow regression equations were developed using dry season mean monthly flows and harmonic mean flows established for 91 and 93 U.S. Geological Survey continuous-record streamflow-gaging stations, respectively. The dry season in Arkansas is defined as the months of July through November for this study. For harmonic mean flow calculations and regression equations, the study area is composed of the Springfield-Salem Plateaus (Arkansas and Missouri), Boston Mountains, Arkansas Valley, Ouachita Mountains (Arkansas and Oklahoma), and West Gulf Coastal Plain (Arkansas) physiographic sections. All continuous-record streamflow-gaging stations used to compute dry season mean monthly flows were located within Arkansas.
\nEquations for two regions were found to be statistically significant for developing regression equations for estimating harmonic mean flows at ungaged basins; thus, equations are applicable only to streams in those respective regions in Arkansas. Regression equations for dry season mean monthly flows are applicable only to streams located throughout Arkansas. All regression equations are applicable only to unaltered streams where flows were not significantly affected by regulation, diversion, or urbanization. The median number of years used for dry season mean monthly flow calculation was 43, and the median number of years used for harmonic mean flow calculations was 34 for region 1 and 43 for region 2.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155031","collaboration":"Prepared in cooperation with the Arkansas Department of Environmental Quality","usgsCitation":"Breaker, B.K., 2015, Dry season mean monthly flow and harmonic mean flow regression equations for selected ungaged basins in Arkansas (Version 1: Originally posted March 17, 2015; Version 1.1: June 13, 2015): U.S. Geological Survey Scientific Investigations Report 2015-5031, iv, 24 p., https://doi.org/10.3133/sir20155031.","productDescription":"iv, 24 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062868","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":305737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":298612,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5031/"},{"id":298613,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5031/pdf/sir2015-5031.pdf","text":"Report","size":"2.41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"scale":"100000","projection":"USA Contiguous Albers Equal Area Conic USGS version","datum":"North American Datum of 1983","country":"United States","state":"Arkansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.625244140625,\n 36.500805317604794\n ],\n [\n -90.17578124999999,\n 36.5184659896759\n ],\n [\n -90.010986328125,\n 36.359374956015856\n ],\n [\n -90.06591796875,\n 36.1822249804225\n ],\n [\n -90.28564453124999,\n 36.05798104702501\n ],\n [\n -89.637451171875,\n 36.03133177633187\n ],\n [\n -89.615478515625,\n 35.8356283888737\n ],\n [\n -91.07666015625,\n 32.99023555965106\n ],\n [\n -94.053955078125,\n 33.0178760185549\n ],\n [\n -94.06494140625,\n 33.486435450999885\n ],\n [\n -94.482421875,\n 33.55055114384406\n ],\n [\n -94.449462890625,\n 35.44277092585766\n ],\n [\n -94.625244140625,\n 36.500805317604794\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1: Originally posted March 17, 2015; Version 1.1: June 13, 2015","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5509421ee4b02e76d757d911","contributors":{"authors":[{"text":"Breaker, Brian K. 0000-0002-1985-4992 bbreaker@usgs.gov","orcid":"https://orcid.org/0000-0002-1985-4992","contributorId":4331,"corporation":false,"usgs":true,"family":"Breaker","given":"Brian","email":"bbreaker@usgs.gov","middleInitial":"K.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542486,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70142977,"text":"sir20155009 - 2015 - An assessment of two methods for identifying undocumented levees using remotely sensed data","interactions":[],"lastModifiedDate":"2015-03-17T10:32:39","indexId":"sir20155009","displayToPublicDate":"2015-03-17T11:30:00","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":"2015-5009","title":"An assessment of two methods for identifying undocumented levees using remotely sensed data","docAbstract":"Many undocumented and commonly unmaintained levees exist in the landscape complicating flood forecasting, risk management, and emergency response. This report describes a pilot study completed by the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers to assess two methods to identify undocumented levees by using remotely sensed, high-resolution topographic data. For the first method, the U.S. Army Corps of Engineers examined hillshades computed from a digital elevation model that was derived from light detection and ranging (lidar) to visually identify potential levees and then used detailed site visits to assess the validity of the identifications. For the second method, the U.S. Geological Survey applied a wavelet transform to a lidar-derived digital elevation model to identify potential levees. The hillshade method was applied to Delano, Minnesota, and the wavelet-transform method was applied to Delano and Springfield, Minnesota. Both methods were successful in identifying levees but also identified other features that required interpretation to differentiate from levees such as constructed barriers, high banks, and bluffs. Both methods are complementary to each other, and a potential conjunctive method for testing in the future includes (1) use of the wavelet-transform method to rapidly identify slope-break features in high-resolution topographic data, (2) further examination of topographic data using hillshades and aerial photographs to classify features and map potential levees, and (3) a verification check of each identified potential levee with local officials and field visits.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155009","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Czuba, C.R., Williams, B.K., Westman, J., and LeClaire, K., 2015, An assessment of two methods for identifying undocumented levees using remotely sensed data: U.S. Geological Survey Scientific Investigations Report 2015-5009, vii, 19 p., https://doi.org/10.3133/sir20155009.","productDescription":"vii, 19 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-046266","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":298608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155009.jpg"},{"id":298556,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5009/"},{"id":298607,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5009/pdf/sir2015-5009.pdf","size":"6.04 MB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Minnesota","city":"Delano, Springfield","otherGeospatial":"Cottonwood River, South Fork Crow River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.83766174316406,\n 45.00437940337335\n ],\n [\n -93.83766174316406,\n 45.06782265048428\n ],\n [\n -93.75646591186523,\n 45.06782265048428\n ],\n [\n -93.75646591186523,\n 45.00437940337335\n ],\n [\n -93.83766174316406,\n 45.00437940337335\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.01251220703125,\n 44.2075577272807\n ],\n [\n -95.01251220703125,\n 44.25460557622782\n ],\n [\n -94.94685173034668,\n 44.25460557622782\n ],\n [\n -94.94685173034668,\n 44.2075577272807\n ],\n [\n -95.01251220703125,\n 44.2075577272807\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55094218e4b02e76d757d90b","contributors":{"authors":[{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":542370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westman, Jack","contributorId":139665,"corporation":false,"usgs":false,"family":"Westman","given":"Jack","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeClaire, Keith","contributorId":139664,"corporation":false,"usgs":false,"family":"LeClaire","given":"Keith","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542371,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70139378,"text":"ofr20151018 - 2015 - Land-cover change in the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative, 1973 to 2000","interactions":[],"lastModifiedDate":"2015-03-17T09:30:25","indexId":"ofr20151018","displayToPublicDate":"2015-03-17T10:30:00","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":"2015-1018","title":"Land-cover change in the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative, 1973 to 2000","docAbstract":"This report summarizes baseline land-cover change information for four time intervals from between 1973 and 2000 for the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative (LCC). The study used sample data from the USGS Land Cover Trends dataset to develop estimates of change for 10 land-cover classes in the LCC. The results show that an estimated 17.7 percent of the LCC land cover had a change during the 27-year period. Cyclic forest dynamics—of timber harvest and regrowth—are the most extensive types of land conversion. Agricultural land had an estimated net decline of 3.5 percent as cropland and pasture were urbanized and developed and converted to forest use. Urban and other developed land covers expanded from 2.0 percent of the LCC in 1973 to 3.1 percent in 2000. The report also highlights causes and challenges of land-cover change.
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These interpretations and datasets provide base maps for studies on benthic ecology and resource management. The geologic features and sedimentary environments on the sea floor are products of the area’s glacial history and modern processes. These features include bedrock, drumlins, boulders, cobbles, large current-scoured bathymetric depressions, obstacle marks, and glaciolacustrine sediments found in high-energy sedimentary environments of erosion or nondeposition; and sand waves and megaripples in sedimentary environments characterized by coarse-grained bedload transport. Trawl marks are preserved in lower energy environments of sorting and reworking. This report releases the multibeam-bathymetric, sidescan-sonar, sediment, and photographic data and interpretations of the features and sedimentary environments in Block Island Sound, offshore Fishers Island.
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2015 - Hydrological, water-quality, and ecological data for streams in Independence, Missouri, June 2005 through September 2013","interactions":[],"lastModifiedDate":"2015-03-12T16:36:48","indexId":"ds915","displayToPublicDate":"2015-03-12T17:15:00","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":"915","title":"Hydrological, water-quality, and ecological data for streams in Independence, Missouri, June 2005 through September 2013","docAbstract":"Water-quality, hydrological, and ecological data collected from June 2005 through September 2013 from the Little Blue River and smaller streams within the City of Independence, Missouri, are presented in this report. These data were collected as a part of an ongoing cooperative study between the U.S. Geological Survey and the City of Independence Water Pollution Control Department to characterize the water quality and ecological condition of Independence streams. The quantities, sources of selected constituents, and processes affecting water quality and aquatic life were evaluated to determine the resulting ecological condition of streams within Independence. Data collected for this study fulfill the municipal separate sewer system permit requirements for the City of Independence and can be used to provide a baseline with which city managers can determine the effectiveness of current (2014) and future best management practices within Independence. Continuous streamflow and water-quality data, collected during base flow and stormflow, included physical and chemical properties, inorganic constituents, common organic micro-constituents, pesticides in streambed sediment and surface water, fecal indicator bacteria and microbial source tracking data, and suspended sediment. Dissolved oxygen, pH, specific conductance, water temperature, and turbidity data were measured continuously at seven sites within Independence. Base-flow and stormflow samples were collected at eight gaged and two ungaged sites. Fecal sources samples were collected for reference for microbial source tracking, and sewage influent samples were collected as additional source samples. Dry-weather screening was done on 11 basins within Independence to identify potential contaminant sources to the streams. Benthic macroinvertebrate community surveys and habitat assessments were done on 10 stream sites and 2 comparison sites outside the city. Sampling and laboratory procedures and quality-assurance and quality-control methods used in data collection for this study are described in this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds915","collaboration":"Prepared in cooperation with the City of Independence, Missouri, Water Pollution Control Department","usgsCitation":"Niesen, S.L., and Christensen, E.D., 2015, Hydrological, water-quality, and ecological data for streams in Independence, Missouri, June 2005 through September 2013: U.S. Geological Survey Data Series 915, Report: x, 80 p.; 2 Appendices; 5 Tables, https://doi.org/10.3133/ds915.","productDescription":"Report: x, 80 p.; 2 Appendices; 5 Tables","startPage":"80","numberOfPages":"92","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2005-01-01","ipdsId":"IP-059795","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":298475,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds915.jpg"},{"id":298466,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0915/downloads/ds915_Appendix01.xlsx","text":"Appendix 1","size":"170 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 1"},{"id":298464,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0915/"},{"id":298467,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0915/downloads/ds915_Appendix02.xlsx","text":"Appendix 2","size":"266 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 2"},{"id":298468,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0915/downloads/ds915_table08.xlsx","text":"Table 8","size":"223 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 8"},{"id":298465,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0915/pdf/ds915.pdf","text":"Report","size":"6.91 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298469,"rank":7,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0915/downloads/ds915_table09.xlsx","text":"Table 9","size":"231 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 9"},{"id":298470,"rank":8,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0915/downloads/ds915_table10.xlsx","text":"Table 10","size":"229 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 10"},{"id":298473,"rank":9,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0915/downloads/ds915_table19.xlsx","text":"Table 19","size":"237 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 19"},{"id":298474,"rank":10,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0915/downloads/ds915_table21.xlsx","text":"Table 21","size":"282 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 21"}],"country":"United States","state":"Missouri","city":"Independence","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.51194763183594,\n 39.03945298873317\n ],\n [\n -94.51194763183594,\n 39.13964713662539\n ],\n [\n -94.32518005371094,\n 39.13964713662539\n ],\n [\n -94.32518005371094,\n 39.03945298873317\n ],\n [\n -94.51194763183594,\n 39.03945298873317\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5502aa98e4b02e76d7564e94","contributors":{"authors":[{"text":"Niesen, Shelley L. ssevern@usgs.gov","contributorId":4583,"corporation":false,"usgs":true,"family":"Niesen","given":"Shelley","email":"ssevern@usgs.gov","middleInitial":"L.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Eric D. echriste@usgs.gov","contributorId":4230,"corporation":false,"usgs":true,"family":"Christensen","given":"Eric","email":"echriste@usgs.gov","middleInitial":"D.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542202,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}