{"pageNumber":"575","pageRowStart":"14350","pageSize":"25","recordCount":69035,"records":[{"id":70048963,"text":"ds800 - 2014 - Digital representation of oil and natural gas well pad scars in southwest Wyoming","interactions":[],"lastModifiedDate":"2026-05-29T13:30:43.970875","indexId":"ds800","displayToPublicDate":"2014-02-19T14:37:14","publicationYear":"2014","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":"800","title":"Digital representation of oil and natural gas well pad scars in southwest Wyoming","docAbstract":"The recent proliferation of oil and natural gas energy development in southwest Wyoming has stimulated the need to understand wildlife responses to this development. Central to many wildlife assessments is the use of geospatial methods that rely on digital representation of energy infrastructure. Surface disturbance of the well pad scars associated with oil and natural gas extraction has been an important but unavailable infrastructure layer. To provide a digital baseline of this surface disturbance, we extracted visible oil and gas well pad scars from 1-meter National Agriculture Imagery Program imagery (NAIP) acquired in 2009 for a 7.7 million-hectare region of southwest Wyoming. Scars include the pad area where wellheads, pumps, and storage facilities reside, and the surrounding area that was scraped and denuded of vegetation during the establishment of the pad. Scars containing tanks, compressors, and the storage of oil and gas related equipment, and produced-water ponds were also collected on occasion. Our extraction method was a two-step process starting with automated extraction followed by manual inspection and clean up. We used available well-point information to guide manual clean up and to derive estimates of year of origin and duration of activity on a pad scar. We also derived estimates of the proportion of non-vegetated area on a scar using a Normalized Difference Vegetation Index derived using 1-meter NAIP imagery. We extracted 16,973 pad scars of which 15,318 were oil and gas well pads. Digital representation of pad scars along with time-stamps of activity and estimates of non-vegetated area provides important baseline (circa 2009) data for assessments of wildlife responses, land-use trends, and disturbance-mediated pattern assessments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds800","usgsCitation":"Garman, S.L., and McBeth, J.L., 2014, Digital representation of oil and natural gas well pad scars in southwest Wyoming: U.S. Geological Survey Data Series 800, Report: iv, 7 p.; Downloads Directory, https://doi.org/10.3133/ds800.","productDescription":"Report: iv, 7 p.; Downloads Directory","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-039038","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":504825,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99570.htm","linkFileType":{"id":5,"text":"html"}},{"id":282548,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds800.jpg"},{"id":282545,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/800/"},{"id":282547,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/800/downloads/"},{"id":282546,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/800/pdf/ds800.pdf"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.08993458291447,\n 43.27755956703638\n ],\n [\n -111.00072585524067,\n 43.27755956703638\n ],\n [\n -111.00072585524067,\n 40.98916989536693\n ],\n [\n -106.08993458291447,\n 40.98916989536693\n ],\n [\n -106.08993458291447,\n 43.27755956703638\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5511e4b0b290850f61cb","contributors":{"authors":[{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":485885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBeth, Jamie L. 0000-0002-7688-7985 jlmcbeth@usgs.gov","orcid":"https://orcid.org/0000-0002-7688-7985","contributorId":1254,"corporation":false,"usgs":true,"family":"McBeth","given":"Jamie","email":"jlmcbeth@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":485884,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70094365,"text":"70094365 - 2014 - The chronic toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters","interactions":[],"lastModifiedDate":"2018-09-04T16:35:58","indexId":"70094365","displayToPublicDate":"2014-02-19T13:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The chronic toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters","docAbstract":"Sodium bicarbonate (NaHCO3) is the principal salt in coal bed natural gas produced water from the Powder River Structural Basin, Wyoming, USA, and concentrations of up to 3000 mg NaHCO3/L have been documented at some locations. No adequate studies have been performed to assess the chronic effects of NaHCO3 exposure. The present study was initiated to investigate the chronic toxicity and define sublethal effects at the individual organism level to explain the mechanisms of NaHCO3 toxicity. Three chronic experiments were completed with fathead minnows (Pimephales promelas), 1 with white suckers (Catostomus commersoni), 1 with Ceriodaphnia dubia, and 1 with a freshwater mussel, (Lampsilis siliquoidea). The data demonstrated that approximately 500 mg NaHCO3/L to 1000 mg NaHCO3/L affected all species of experimental aquatic animals in chronic exposure conditions. Freshwater mussels were the least sensitive to NaHCO3 exposure, with a 10-d inhibition concentration that affects 20% of the sample population (IC20) of 952 mg NaHCO3/L. The IC20 for C. dubia was the smallest, at 359 mg NaHCO3/L. A significant decrease in sodium–potassium adenosine triphosphatase (Na+/K+ ATPase) together with the lack of growth effects suggests that Na+/K+ ATPase activity was shut down before the onset of death. Several histological anomalies, including increased incidence of necrotic cells, suggested that fish were adversely affected as a result of exposure to >450 mg NaHCO3/L.","language":"English","publisher":"Wiley","doi":"10.1002/etc.2455","usgsCitation":"Farag, A.M., and Harper, D., 2014, The chronic toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters: Environmental Toxicology and Chemistry, v. 33, no. 3, p. 532-540, https://doi.org/10.1002/etc.2455.","productDescription":"9 p.","startPage":"532","endPage":"540","numberOfPages":"9","ipdsId":"IP-045346","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":282541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282540,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2455"}],"volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-01","publicationStatus":"PW","scienceBaseUri":"53517069e4b05569d805a3f9","contributors":{"authors":[{"text":"Farag, Aida M. 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":1139,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":490590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harper, David D.","contributorId":102946,"corporation":false,"usgs":true,"family":"Harper","given":"David D.","affiliations":[],"preferred":false,"id":490591,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70094362,"text":"70094362 - 2014 - Acute toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters, to 13 aquatic species as defined in the laboratory","interactions":[],"lastModifiedDate":"2018-09-14T15:59:33","indexId":"70094362","displayToPublicDate":"2014-02-19T13:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Acute toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters, to 13 aquatic species as defined in the laboratory","docAbstract":"Water produced during coal bed natural gas (CBNG) extraction in the Powder River Structural Basin of Wyoming and Montana (USA) may contain concentrations of sodium bicarbonate (NaHCO3) of more than 3000 mg/L. The authors evaluated the acute toxicity of NaHCO3, also expressed as bicarbonate (HCO3−), to 13 aquatic organisms. Of the 13 species tested, 7 had a median lethal concentration (LC50) less than 2000 mg/L NaHCO3, or 1300 mg/L HCO3−. The most sensitive species were Ceriodaphnia dubia, freshwater mussels (Lampsilis siliquoidea), pallid sturgeon (Scaphirhynchus albus), and shovelnose sturgeon (Scaphirhynchus platorynchus). The respective LC50s were 989 mg/L, 1120 mg/L, 1249 mg/L, and 1430 mg/L NaHCO3, or 699 mg/L, 844 mg/L, 831 mg/L, and 1038 mg/L HCO3−. Age affected the sensitivity of fathead minnows, even within life stage. Two days posthatch, fathead minnows were more sensitive to NaHCO3 and HCO3− compared with 4-d-old fish, even though fish up to 14 d old are commonly used for toxicity evaluations. The authors recommend that ion toxicity exposures be conducted with organisms less than 24 h posthatch to ensure that experiments document the most sensitive stage of development. The results of the present study, along with historical and current research regarding the toxicity of bicarbonate, may be useful to establish regulatory standards for HCO3−.","language":"English","publisher":"Wiley","doi":"10.1002/etc.2452","usgsCitation":"Harper, D., Farag, A.M., and Skaar, D., 2014, Acute toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters, to 13 aquatic species as defined in the laboratory: Environmental Toxicology and Chemistry, v. 33, no. 3, p. 525-531, https://doi.org/10.1002/etc.2452.","productDescription":"7 p.","startPage":"525","endPage":"531","numberOfPages":"7","ipdsId":"IP-045343","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":282538,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2452"},{"id":282539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-01","publicationStatus":"PW","scienceBaseUri":"53516f2ce4b05569d805a027","contributors":{"authors":[{"text":"Harper, David D.","contributorId":102946,"corporation":false,"usgs":true,"family":"Harper","given":"David D.","affiliations":[],"preferred":false,"id":490589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farag, Aida M. 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":1139,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":490587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skaar, Don","contributorId":9171,"corporation":false,"usgs":true,"family":"Skaar","given":"Don","email":"","affiliations":[],"preferred":false,"id":490588,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70093887,"text":"ofr20131282 - 2014 - Gravity, aeromagnetic and rock-property data of the central California Coast Ranges","interactions":[],"lastModifiedDate":"2023-05-26T15:35:53.252188","indexId":"ofr20131282","displayToPublicDate":"2014-02-18T12:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1282","title":"Gravity, aeromagnetic and rock-property data of the central California Coast Ranges","docAbstract":"Gravity, aeromagnetic, and rock-property data were collected to support geologic-mapping, water-resource, and seismic-hazard studies for the central California Coast Ranges. These data are combined with existing data to provide gravity, aeromagnetic, and physical-property datasets for this region. The gravity dataset consists of approximately 18,000 measurements. The aeromagnetic dataset consists of total-field anomaly values from several detailed surveys that have been merged and gridded at an interval of 200 m. The physical property dataset consists of approximately 800 density measurements and 1,100 magnetic-susceptibility measurements from rock samples, in addition to previously published borehole gravity surveys from Santa Maria Basin, density logs from Salinas Valley, and intensities of natural remanent magnetization.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131282","usgsCitation":"Langenheim, V., 2014, Gravity, aeromagnetic and rock-property data of the central California Coast Ranges: U.S. Geological Survey Open-File Report 2013-1282, Report: ii, 12 p.; Data; Readme, https://doi.org/10.3133/ofr20131282.","productDescription":"Report: ii, 12 p.; Data; Readme","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-046410","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":282485,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131282.jpg"},{"id":417511,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99568.htm","linkFileType":{"id":5,"text":"html"}},{"id":282483,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1282/downloads/ofr2013-1282_data.zip"},{"id":282484,"rank":4,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2013/1282/downloads/readme.txt"},{"id":282482,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1282/pdf/ofr2013-1282.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":282480,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1282/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"California Coast Ranges, Salinas Valley, Santa Maria Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.99,34.18 ], [ -122.99,37.07 ], [ -118.72,37.07 ], [ -118.72,34.18 ], [ -122.99,34.18 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5f28e4b0b290850fc244","contributors":{"authors":[{"text":"Langenheim, V.E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":54956,"corporation":false,"usgs":true,"family":"Langenheim","given":"V.E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":490245,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70074060,"text":"ds822 - 2014 - USGS field activities 11BHM03 and 11BHM04 on the west Florida shelf, Gulf of Mexico, September and November 2011","interactions":[],"lastModifiedDate":"2014-02-15T12:59:01","indexId":"ds822","displayToPublicDate":"2014-02-14T15:54:00","publicationYear":"2014","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":"822","title":"USGS field activities 11BHM03 and 11BHM04 on the west Florida shelf, Gulf of Mexico, September and November 2011","docAbstract":"

During September and November 2011 the (USGS), in cooperation with (USF), conducted geochemical surveys on the west Florida Shelf to investigate the effects of climate change on ocean acidification within the northern Gulf of Mexico, specifically, the effect of ocean acidification on marine organisms and habitats. The first cruise was conducted from September 20 to 28 (11BHM03) and the second was from November 2 to 4 (11BHM04). To view each cruise's survey lines, please see the Trackline page. Each cruise took place aboard the Research Vessel (R/V) Weatherbird II, a ship of opportunity led by Dr. Kendra Daly (USF), which departed from and returned to Saint Petersburg, Florida.

\n
\n

Data collection included sampling of the surface and water column with lab analysis of pH, dissolved inorganic carbon (DIC) or total carbon dioxide (TCO2), and total alkalinity (TA). lLb analysis was augmented with a continuous flow-through system (referred to as sonde data) with a conductivity-temperature-depth (CTD) sensor, which also recorded salinity and pH. Corroborating the USGS data are the vertical CTD profiles (referred to as station samples) collected by USF. The CTD casts measured continuous vertical profiles of oxygen, chlorophyll fluorescence and optical backscatter. Discrete samples for nutrients, chlorophyll, and particulate organic carbon/nitrogen were also collected during the CTD casts. Two autonomous flow-through (AFT) instruments recorded pH and CO2 every 3-5 minutes on each cruise (referred to as AFT data).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds822","usgsCitation":"Robbins, L.L., Knorr, P.O., Daly, K.L., and Barrera, K.E., 2014, USGS field activities 11BHM03 and 11BHM04 on the west Florida shelf, Gulf of Mexico, September and November 2011: U.S. Geological Survey Data Series 822, HTML Document, https://doi.org/10.3133/ds822.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-051017","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds822.jpg"},{"id":282445,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0822/"},{"id":282444,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0822/title.html"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.86,18.18 ], [ -97.86,30.40 ], [ -81.04,30.40 ], [ -81.04,18.18 ], [ -97.86,18.18 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7a17e4b0b2908510d445","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daly, Kendra L.","contributorId":79018,"corporation":false,"usgs":true,"family":"Daly","given":"Kendra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":489363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrera, Kira E. 0000-0002-2807-4795 kbarrera@usgs.gov","orcid":"https://orcid.org/0000-0002-2807-4795","contributorId":4910,"corporation":false,"usgs":true,"family":"Barrera","given":"Kira","email":"kbarrera@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489362,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70074059,"text":"ds712 - 2014 - USGS field activities 11BHM01 and 11BHM02 on the west Florida shelf, Gulf of Mexico, May and June 2011","interactions":[],"lastModifiedDate":"2026-05-07T17:05:21.455783","indexId":"ds712","displayToPublicDate":"2014-02-14T14:37:00","publicationYear":"2014","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":"712","title":"USGS field activities 11BHM01 and 11BHM02 on the west Florida shelf, Gulf of Mexico, May and June 2011","docAbstract":"

During May and June 2011 the (USGS), in cooperation with (USF), conducted geochemical surveys on the west Florida Shelf to investigate the effects of climate change on ocean acidification within the northern Gulf of Mexico, specifically, the effect of ocean acidification on marine organisms and habitats. The first cruise was conducted from May 3 to 9 (11BHM01) and the second was from June 25 to 30 (11BHM02). To view each cruise's survey lines, please see the Trackline page. Each cruise took place aboard the Research Vessel (R/V) Weatherbird II, a ship of opportunity led by Dr. Kendra Daly (USF), which departed from and returned to Saint Petersburg, Florida. Data collection included sampling of the surface and water column with lab analysis of pH, dissolved inorganic carbon (DIC) or total carbon dioxide (TCO2), and total alkalinity (TA). lLb analysis was augmented with a continuous flow-through system (referred to as sonde data) with a conductivity-temperature-depth (CTD) sensor, which also recorded salinity and pH. Corroborating the USGS data are the vertical CTD profiles (referred to as station samples) collected by USF. The CTD casts measured continuous vertical profiles of oxygen, chlorophyll fluorescence and optical backscatter. Discrete samples for nutrients, chlorophyll, and particulate organic carbon/nitrogen were also collected during the CTD casts. Two autonomous flow-through (AFT) instruments recorded pH and CO2 every 3-5 minutes on each cruise (referred to as AFT data).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds712","usgsCitation":"Robbins, L.L., Knorr, P.O., Daly, K.L., Taylor, C.A., and Barrera, K.E., 2014, USGS field activities 11BHM01 and 11BHM02 on the west Florida shelf, Gulf of Mexico, May and June 2011: U.S. Geological Survey Data Series 712, HTML Document, https://doi.org/10.3133/ds712.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-040390","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282433,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0712/title.html"},{"id":282432,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0712/"},{"id":282434,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds712.jpg"},{"id":504109,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99571.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.143310546875,\n 27.32297494724568\n ],\n [\n -88.143310546875,\n 30.344435586368462\n ],\n [\n -82.37548828125,\n 30.344435586368462\n ],\n [\n -82.37548828125,\n 27.32297494724568\n ],\n [\n -88.143310546875,\n 27.32297494724568\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7a17e4b0b2908510d443","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daly, Kendra L.","contributorId":79018,"corporation":false,"usgs":true,"family":"Daly","given":"Kendra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":489359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Carl A.","contributorId":9960,"corporation":false,"usgs":true,"family":"Taylor","given":"Carl","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":489358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barrera, Kira E. 0000-0002-2807-4795 kbarrera@usgs.gov","orcid":"https://orcid.org/0000-0002-2807-4795","contributorId":4910,"corporation":false,"usgs":true,"family":"Barrera","given":"Kira","email":"kbarrera@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489357,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048968,"text":"ofr20131107 - 2014 - Field manual for the collection of Navajo Nation streamflow-gage data","interactions":[],"lastModifiedDate":"2014-02-14T10:50:00","indexId":"ofr20131107","displayToPublicDate":"2014-02-14T10:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1107","title":"Field manual for the collection of Navajo Nation streamflow-gage data","docAbstract":"The Field Manual for the Collection of Navajo Nation Streamflow-Gage Data (Navajo Field Manual) is based on established (standard) U.S. Geological Survey streamflow-gaging methods and provides guidelines specifically designed for the Navajo Department of Water Resources personnel who establish and maintain streamflow gages. The Navajo Field Manual addresses field visits, including essential field equipment and the selection of and routine visits to streamflow-gaging stations, examines surveying methods for determining peak flows (indirect measurements), discusses safety considerations, and defines basic terms.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131107","collaboration":"Prepared in cooperation with the Navajo Nation’s Department of Water Resources, Water Management Branch","usgsCitation":"Hart, R.J., and Fisk, G.G., 2014, Field manual for the collection of Navajo Nation streamflow-gage data: U.S. Geological Survey Open-File Report 2013-1107, vi, 41 p., https://doi.org/10.3133/ofr20131107.","productDescription":"vi, 41 p.","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040678","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":282388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131107.jpg"},{"id":282386,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1107/"},{"id":282387,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1107/pdf/ofr2013-1107.pdf"}],"country":"United States","state":"Arizona;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.0,35.0 ], [ -112.0,37.5 ], [ -108.0,37.5 ], [ -108.0,35.0 ], [ -112.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5944e4b0b290850f89ae","contributors":{"authors":[{"text":"Hart, Robert J. bhart@usgs.gov","contributorId":598,"corporation":false,"usgs":true,"family":"Hart","given":"Robert","email":"bhart@usgs.gov","middleInitial":"J.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisk, Gregory G.","contributorId":51728,"corporation":false,"usgs":true,"family":"Fisk","given":"Gregory","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":485897,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70068726,"text":"sir20135197 - 2014 - A velocimetric survey of the Lower Missouri River from river mile 492.38 to 290.20, July-October 2011 and July 2012","interactions":[],"lastModifiedDate":"2016-08-10T10:58:33","indexId":"sir20135197","displayToPublicDate":"2014-02-13T12:43:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5197","title":"A velocimetric survey of the Lower Missouri River from river mile 492.38 to 290.20, July-October 2011 and July 2012","docAbstract":"

Velocimetric surveys were made by the U.S. Geological Survey in 2011 and 2012 to provide data for the U.S. Army Corps of Engineers’ ongoing study of bed degradation in the Lower Missouri River. Using Acoustic Doppler Current Profile technology, velocity data were collected at 87 river miles along the Lower Missouri River from Rulo, Nebraska to Waverly, Missouri, from July to October 2011 and in July 2012, for a total of 118 velocimetric surveys. Multiple-repeat velocimetric surveys were done eight times at three river miles from July to October 2011. Synoptic velocimetric surveys spanning 2–4 days were done twice at ten river miles, once in July 2011 and once in October 2011. Additional synoptic velocimetric surveys were done at proximal river miles in October 2011 and July 2012. Main-channel, near-bed, near-bank, and whole-river velocities were extracted from the Acoustic Doppler Current Profile data using AdMap and compiled as an average of reciprocal pairs for each survey. In addition, the mean velocity computed by the Winriver II software for each survey was integrated with the extracted data.

\n

 

\n

Multiple-repeat velocimetric surveys in the vicinity of Kansas City and Waverly, Missouri, in 2011 indicated that main-channel, near-bed, near-bank, and whole-river velocities generally declined with respect to declining daily mean discharges at the St. Joseph and Waverly, Missouri streamgaging stations. Statistical analysis of the four extracted velocity types indicated that multiple-repeat velocimetric surveys were strongly correlated with daily mean discharges at nearby streamgaging stations (coefficient of determination greater than 0.75). Main-channel velocity exceeded whole-river velocity by an average of 25 percent at river mile 357.70, 22 percent at river mile 357.09, and 6.8 percent at river mile 290.20 for all velocimetric surveys at each location, respectively. Mainchannel, near-bed, near-bank, and whole-river velocities declined about 48 percent from July to October 2011 at the Kansas City sites and about 38 percent at the Waverly site. Winriver II mean velocity from multiple-repeat velocimetric surveys indicated that the relation between all velocities was inconsistent from July to October 2011. Percent changes in channel width from July to October 2011 were typically less than concurrent changes in channel area and instantaneous discharge. The combined synoptic and multiple-repeat survey data for July 2011 did not indicate a clear longitudinal trend of velocity as instantaneous discharge increased downstream. Main-channel velocity exceeded whole-river velocity by an average of 22 percent during July 2011 and in some cases by more than 40 percent (river miles 452.50 and 308.80). Evaluation of 10 pairs of synoptic and synoptic-repeat velocimetric surveys with multiple-repeat velocimetric surveys from July to October 2011 indicated that all velocity types and channel width decreased by about one-third. Channel area and instantaneous discharge decreased by more than 50 percent from July to October 2011 and the percent by which main-channel velocity exceeded whole-river velocity decreased slightly from 22 percent in July to 19 percent. Comparing high (July 2011) to low (October 2011) discharge, where the channel width and area expanded by a factor of nearly 3.0 or more at high discharge (river miles 492.38 to 452.50), main-channel, near-bed, near-bank, and whole-river velocities increased by factors in the range of 1.1 to 1.7 and Winriver II mean velocity decreased. At the Kansas City river miles, all velocity types and channel areas nearly doubled at high discharge and channel widths remained similar to those at low discharge. Multiple-repeat and synoptic velocimetric surveys evaluated in October 2011 indicated that main-channel, near-bed, nearbank, and whole-river velocities generally increased downstream from river miles 424.20 to 404.70 and then decreased, until river mile 290.20, where they increased slightly.

\n

 

\n

Of the July 2012 synoptic velocimetric surveys, velocities near St. Joseph, Missouri, indicated no longitudinal trends in the main-channel, near-bed, near-bank, and whole-river velocities. The Kansas City and Waverly synoptic velocimetric surveys indicated a general decrease in these velocities proceeding downstream. For all 2012 surveys, near-bed velocity was closest in magnitude to Winriver II mean velocity and near-bed and whole-river velocities decreased with increasing channel area. For the entire study, variations in near-bank velocity may have been due to the influence of channel structures and their diversion of higher velocities away from the channel edges.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135197","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Kansas City District","usgsCitation":"Armstrong, D., Wilkison, D.H., and Norman, R.D., 2014, A velocimetric survey of the Lower Missouri River from river mile 492.38 to 290.20, July-October 2011 and July 2012: U.S. Geological Survey Scientific Investigations Report 2013-5197, v, 34 p., https://doi.org/10.3133/sir20135197.","productDescription":"v, 34 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-07-01","temporalEnd":"2012-07-31","ipdsId":"IP-043216","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":282348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135197.jpg"},{"id":282346,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5197/"},{"id":282347,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5197/pdf/sir2013-5197.pdf"}],"projection":"Universal Transverse Mercator","country":"United States","state":"Missouri;Nebraska","city":"Kansas City;St. Joseph;Waverly","otherGeospatial":"Lower Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.04,35.85 ], [ -114.04,49.72 ], [ -89.01,49.72 ], [ -89.01,35.85 ], [ -114.04,35.85 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4acae4b0b290850effd2","contributors":{"authors":[{"text":"Armstrong, Daniel J. armstron@usgs.gov","contributorId":3823,"corporation":false,"usgs":true,"family":"Armstrong","given":"Daniel J.","email":"armstron@usgs.gov","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilkison, Donald H. wilkison@usgs.gov","contributorId":3824,"corporation":false,"usgs":true,"family":"Wilkison","given":"Donald","email":"wilkison@usgs.gov","middleInitial":"H.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norman, Richard D. rnorman@usgs.gov","contributorId":4086,"corporation":false,"usgs":true,"family":"Norman","given":"Richard","email":"rnorman@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":488040,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70056508,"text":"fs20133110 - 2014 - Delivering climate science about the Nation's fish, wildlife, and ecosystems: the U.S. Geological Survey National Climate Change and Wildlife Science Center","interactions":[],"lastModifiedDate":"2018-04-24T13:55:35","indexId":"fs20133110","displayToPublicDate":"2014-02-11T14:46:00","publicationYear":"2014","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":"2013-3110","title":"Delivering climate science about the Nation's fish, wildlife, and ecosystems: the U.S. Geological Survey National Climate Change and Wildlife Science Center","docAbstract":"Changes to the Earth’s climate—temperature, precipitation, and other climate variables—pose significant challenges to our Nation’s natural resources. Managers of land, water, and living resources require an understanding of the impacts of climate change—which exacerbate ongoing stresses such as habitat alteration and invasive species—in order to design effective response strategies. In 2008, Congress created the National Climate Change and Wildlife Science Center (NCCWSC) within the U.S. Geological Survey (USGS). The center was formed to address environmental challenges resulting from climate and land-use change and to provide natural resource managers with rigorous scientific information and effective tools for decision making. Located at the USGS National Headquarters in Reston, Virginia, the NCCWSC has established eight regional Department of the Interior (DOI) Climate Science Centers (CSCs) and has invested over $93 million (through fiscal year 2013) in cutting-edge climate change research.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133110","usgsCitation":"Varela-Acevedo, E., 2014, Delivering climate science about the Nation's fish, wildlife, and ecosystems: the U.S. Geological Survey National Climate Change and Wildlife Science Center: U.S. Geological Survey Fact Sheet 2013-3110, 2 p., https://doi.org/10.3133/fs20133110.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-049487","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":282281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133110.jpg"},{"id":282279,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3110/"},{"id":282280,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3110/pdf/fs2013-3110.pdf"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum of 1983","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.616667,13.233333 ], [ 144.616667,71.833333 ], [ -64.566667,71.833333 ], [ -64.566667,13.233333 ], [ 144.616667,13.233333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd540ce4b0b290850f5834","contributors":{"authors":[{"text":"Varela-Acevedo, Elda evarela-acevedo@usgs.gov","contributorId":292,"corporation":false,"usgs":true,"family":"Varela-Acevedo","given":"Elda","email":"evarela-acevedo@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":486573,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70093696,"text":"ofr20131304 - 2014 - Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona: 2011-2012","interactions":[],"lastModifiedDate":"2014-02-11T13:49:02","indexId":"ofr20131304","displayToPublicDate":"2014-02-11T12:43:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1304","title":"Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona: 2011-2012","docAbstract":"

The Navajo (N) aquifer is an extensive aquifer and the primary source of groundwater in the 5,400-square-mile Black Mesa area in northeastern Arizona. Availability of water is an important issue in northeastern Arizona because of continued water requirements for industrial and municipal use by a growing population and because of low precipitation in the arid climate of the Black Mesa area. Precipitation in the area typically is between 6 and 14 inches per year.

\n
\n

The U.S. Geological Survey water-monitoring program in the Black Mesa area began in 1971 and provides information about the long-term effects of groundwater withdrawals from the N aquifer for industrial and municipal uses. This report presents results of data collected as part of the monitoring program in the Black Mesa area from January 2011 to September 2012. The monitoring program includes measurements of (1) groundwater withdrawals, (2) groundwater levels, (3) spring discharge, (4) surface-water discharge, and (5) groundwater chemistry.

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In 2011, total groundwater withdrawals were 4,480 acre-ft, industrial withdrawals were 1,390 acre-ft, and municipal withdrawals were 3,090 acre-ft. Total withdrawals during 2011 were about 39 percent less than total withdrawals in 2005 because of Peabody Western Coal Company’s discontinued use of water to transport coal in a slurry. From 2010 to 2011 total withdrawals increased by 11 percent; industrial withdrawals increased by approximately 19 percent, and total municipal withdrawals increased by 8 percent.

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From 2011 to 2012, annually measured water levels in the Black Mesa area declined in 8 of 15 wells that were available for comparison in the unconfined areas of the N aquifer, and the median change was -0.1 feet. Water levels declined in 9 of 18 wells measured in the confined area of the aquifer. The median change for the confined area of the aquifer was 0.0 feet. From the prestress period (prior to 1965) to 2012, the median water-level change for 34 wells in both the confined and unconfined areas was -13.4 feet; the median water-level changes were -2.1 feet for 16 wells measured in the unconfined areas and -39.1 feet for 18 wells measured in the confined area.

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Spring flow was measured at four springs in 2012. Flow fluctuated during the period of record for Burro and Unnamed Spring near Dennehotso, but a decreasing trend was apparent at Moenkopi School Spring and Pasture Canyon Spring. Discharge at Burro Spring has remained relatively constant since it was first measured in the 1980s and discharge at Unnamed Spring near Dennehotso has fluctuated for the period of record. Trend analysis for discharge at Moenkopi and Pasture Canyon Springs yielded a slope significantly different from zero.

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Continuous records of surface-water discharge in the Black Mesa area were collected from streamflow-gaging stations at the following sites: Moenkopi Wash at Moenkopi 09401260 (1976 to 2010), Dinnebito Wash near Sand Springs 09401110 (1993 to 2010), Polacca Wash near Second Mesa 09400568 (1994 to 2010), and Pasture Canyon Springs 09401265 (2004 to 2010). Median winter flows (November through February) of each water year were used as an index of the amount of groundwater discharge at the above-named sites. For the period of record of each streamflow-gaging station, the median winter flows have generally remained constant, and there are no significant statistical trends in groundwater discharge.

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\n

In 2012, water samples collected from 10 wells and 4 springs in the Black Mesa area were analyzed for selected chemical constituents, and the results were compared with previous analyses. Concentrations of dissolved solids, chloride, and sulfate have varied at all 10 wells for the period of record, but neither increasing nor decreasing trends over time were found. Dissolved solids, chloride, and sulfate concentrations increased at Moenkopi School Spring during the more than 12 years of record at that site. Concentrations of dissolved solids, chloride, and sulfate at Pasture Canyon Spring have not varied significantly since the early 1980s, and there is no increasing or decreasing trend in those data. Concentrations of dissolved solids, chloride, and sulfate at Burro Spring and Unnamed Spring near Dennehotso have varied for the period of record, but there is no increasing or decreasing trend in the data.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131304","collaboration":"Prepared in cooperation with the Bureau of Indian Affairs and the Arizona Department of Water Resources","usgsCitation":"Macy, J.P., and Unema, J., 2014, Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona: 2011-2012: U.S. Geological Survey Open-File Report 2013-1304, v, 42 p., https://doi.org/10.3133/ofr20131304.","productDescription":"v, 42 p.","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2012-09-30","ipdsId":"IP-045075","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":282269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131304.jpg"},{"id":282267,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1304/"},{"id":282270,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1304/pdf/ofr2013-1304.pdf"}],"scale":"100000","projection":"Lambert Conformal Conic projection","country":"United States","state":"Arizona","otherGeospatial":"Black Mesa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.5,35.5 ], [ -111.5,37.0 ], [ -109.5,37.0 ], [ -109.5,35.5 ], [ -111.5,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5ff6e4b0b290850fc9d6","contributors":{"authors":[{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Unema, Joel A.","contributorId":92577,"corporation":false,"usgs":true,"family":"Unema","given":"Joel A.","affiliations":[],"preferred":false,"id":490153,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70093719,"text":"70093719 - 2014 - Metolachlor metabolite (MESA) reveals agricultural nitrate-N fate and transport in Choptank River watershed","interactions":[],"lastModifiedDate":"2014-02-12T09:49:08","indexId":"70093719","displayToPublicDate":"2014-02-11T09:38:45","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Metolachlor metabolite (MESA) reveals agricultural nitrate-N fate and transport in Choptank River watershed","docAbstract":"Over 50% of streams in the Chesapeake Bay watershed have been rated as poor or very poor based on the index of biological integrity. The Choptank River estuary, a Bay tributary on the eastern shore, is one such waterway, where corn and soybean production in upland areas of the watershed contribute significant loads of nutrients and sediment to streams. We adopted a novel approach utilizing the relationship between the concentration of nitrate-N and the stable, water-soluble herbicide degradation product MESA {2-[2-ethyl-N-(1-methoxypropan-2-yl)-6-methylanilino]-2-oxoethanesulfonic acid} to distinguish between dilution and denitrification effects on the stream concentration of nitrate-N in agricultural subwatersheds. The ratio of mean nitrate-N concentration/(mean MESA concentration * 1000) for 15 subwatersheds was examined as a function of percent cropland on hydric soil. This inverse relationship (R2 = 0.65, p < 0.001) takes into consideration not only dilution and denitrification of nitrate-N, but also the stream sampling bias of the croplands caused by extensive drainage ditch networks. MESA was also used to track nitrate-N concentrations within the estuary of the Choptank River. The relationship between nitrate-N and MESA concentrations in samples collected over three years was linear (0.95 ≤ R2 ≤ 0.99) for all eight sampling dates except one where R2 = 0.90. This very strong correlation indicates that nitrate-N was conserved in much of the Choptank River estuary, that dilution alone is responsible for the changes in nitrate-N and MESA concentrations, and more importantly nitrate-N loads are not reduced in the estuary prior to entering the Chesapeake Bay. Thus, a critical need exists to minimize nutrient export from agricultural production fields and to identify specific conservation practices to address the hydrologic conditions within each subwatershed. In well drained areas, removal of residual N within the cropland is most critical, and practices such as cover crops which sequester the residual N should be strongly encouraged. In poorly drained areas where denitrification can occur, wetland restoration and controlled drained structures that minimize ditch flow should be used to maximize denitrification.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.12.017","usgsCitation":"McCarty, G.W., Hapeman, C.J., Rice, C.P., Hively, W., McConnell, L.L., Sadeghi, A.M., Lang, M., Whitall, D.R., Bialek, K., and Downey, P., 2014, Metolachlor metabolite (MESA) reveals agricultural nitrate-N fate and transport in Choptank River watershed: Science of the Total Environment, v. 473-474, p. 473-482, https://doi.org/10.1016/j.scitotenv.2013.12.017.","productDescription":"10 p.","startPage":"473","endPage":"482","ipdsId":"IP-024932","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":282295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282294,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.12.017"},{"id":282286,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S004896971301471X#"}],"state":"Delaware;Maryl","otherGeospatial":"Choptank River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.1834,37.9472 ], [ -76.1834,39.4227 ], [ -75.0606,39.4227 ], [ -75.0606,37.9472 ], [ -76.1834,37.9472 ] ] ] } } ] }","volume":"473-474","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517055e4b05569d805a32d","contributors":{"authors":[{"text":"McCarty, Gregory W.","contributorId":78861,"corporation":false,"usgs":true,"family":"McCarty","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":490168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hapeman, Cathleen J.","contributorId":63154,"corporation":false,"usgs":true,"family":"Hapeman","given":"Cathleen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Clifford P.","contributorId":56594,"corporation":false,"usgs":true,"family":"Rice","given":"Clifford","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":490164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":9391,"corporation":false,"usgs":true,"family":"Hively","given":"W. Dean","affiliations":[],"preferred":false,"id":490161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McConnell, Laura L.","contributorId":106437,"corporation":false,"usgs":true,"family":"McConnell","given":"Laura","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":490170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sadeghi, Ali M.","contributorId":50645,"corporation":false,"usgs":true,"family":"Sadeghi","given":"Ali","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490163,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lang, Megan W.","contributorId":58014,"corporation":false,"usgs":true,"family":"Lang","given":"Megan W.","affiliations":[],"preferred":false,"id":490166,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whitall, David R.","contributorId":24908,"corporation":false,"usgs":true,"family":"Whitall","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":490162,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bialek, Krystyna","contributorId":92968,"corporation":false,"usgs":true,"family":"Bialek","given":"Krystyna","email":"","affiliations":[],"preferred":false,"id":490169,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Downey, Peter","contributorId":57767,"corporation":false,"usgs":true,"family":"Downey","given":"Peter","affiliations":[],"preferred":false,"id":490165,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70072585,"text":"ofr20131303 - 2014 - Change in the length of the southern section of the Chandeleur Islands oil berm, January 13, 2011, through September 3, 2012","interactions":[],"lastModifiedDate":"2014-02-10T13:33:42","indexId":"ofr20131303","displayToPublicDate":"2014-02-10T13:29:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1303","title":"Change in the length of the southern section of the Chandeleur Islands oil berm, January 13, 2011, through September 3, 2012","docAbstract":"On April 20, 2010, an explosion on the Deepwater Horizon oil rig drilling at the Macondo Prospect site in the Gulf of Mexico resulted in a marine oil spill that continued to flow through July 15, 2010. One of the affected areas was the Breton National Wildlife Refuge, which consists of a chain of low-lying islands, including Breton Island and the Chandeleur Islands, and their surrounding waters. The island chain is located approximately 115–150 kilometers (km) north-northwest of the spill site. A sand berm was constructed seaward of, and on, the island chain. Construction began at the northern end of Chandeleur Islands in June 2010 and ended in April 2011 after 14 km of berm had been constructed. The berm consisted of three distinct sections based on where the berm was placed relative to the islands. The northern section of the berm was built in open water on a submerged portion of the Chandeleur Islands platform. The middle section was built approximately 70–90 meters (m) seaward of the Chandeleur Islands. The southern section was built on the islands’ beaches. Repeated Landsat and SPOT satellite imagery and airborne light detection and ranging (lidar) were used to observe the disintegration of the berm over time. The methods used to analyze the remotely sensed data and the resulting, derived data for the southern section are reported.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131303","issn":"2332-1258","usgsCitation":"Plant, N.G., and Guy, K.K., 2014, Change in the length of the southern section of the Chandeleur Islands oil berm, January 13, 2011, through September 3, 2012: U.S. Geological Survey Open-File Report 2013-1303, iv, 8 p., https://doi.org/10.3133/ofr20131303.","productDescription":"iv, 8 p.","numberOfPages":"12","onlineOnly":"Y","temporalStart":"2011-01-13","temporalEnd":"2012-09-03","ipdsId":"IP-050824","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131303.jpg"},{"id":282219,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1303/"},{"id":282220,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1303/pdf/of2013-1303.pdf"}],"country":"United States","otherGeospatial":"Breton Island;Chandeleur Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.5,28.5 ], [ -89.5,30.5 ], [ -88.5,30.5 ], [ -88.5,28.5 ], [ -89.5,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd506ae4b0b290850f3524","contributors":{"authors":[{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":488505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Kristy K. kguy@usgs.gov","contributorId":45010,"corporation":false,"usgs":true,"family":"Guy","given":"Kristy","email":"kguy@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":false,"id":488506,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70074262,"text":"ofr20141011 - 2014 - Survival of bacterial indicators and the functional diversity of native microbial communities in the Floridan aquifer system, south Florida","interactions":[],"lastModifiedDate":"2014-02-10T13:19:16","indexId":"ofr20141011","displayToPublicDate":"2014-02-10T13:13:00","publicationYear":"2014","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":"2014-1011","title":"Survival of bacterial indicators and the functional diversity of native microbial communities in the Floridan aquifer system, south Florida","docAbstract":"The Upper Floridan aquifer in the southern region of Florida is a multi-use, regional scale aquifer that is used as a potable water source and as a repository for passively recharged untreated surface waters, and injected treated surface water and wastewater, industrial wastes, including those which contain greenhouse gases (for example, carbon dioxide). The presence of confined zones within the Floridan aquifer that range in salinity from fresh to brackish allow regulatory agencies to permit the injection of these different types of product waters into specific zones without detrimental effects to humans and terrestrial and aquatic ecosystems. The type of recharge that has received the most regulatory attention in south Florida is aquifer storage and recovery (ASR). The treated water, prior to injection and during recovery, must meet primary and secondary drinking water standards. The primary microbiology drinking water standard is total coliforms, which have been shown to be difficult to inactivate below the regulatory standard during the treatment process at some ASR facilities. The inefficient inactivation of this group of indicator bacteria permits their direct injection into the storage zones of the Floridan aquifer. Prior to this study, the inactivation rates for any member of the total coliform group during exposure to native geochemical conditions in groundwater from any zone of the Floridan aquifer had not been derived.\n\nAboveground flow through mesocosms and diffusion chambers were used to quantify the inactivation rates of two bacterial indicators, Escherichia coli and Pseudomonas aeruginosa, during exposure to groundwater from six wells. These wells collect water from two ASR storage zones: the Upper Floridan aquifer (UFA) and Avon Park Permeable Zone (APPZ). Both bacterial strains followed a biphasic inactivation model. The E. coli populations had slower inactivation rates in the UFA (range: 0.217–0.628 per hour (h-1)) during the first phase of the model than when exposed to groundwater from the APPZ (range: 0.540–0.684 h-1). The inactivation rates for the first phase of the models for P. aeruginosa were not significantly different between the UFA (range: 0.144–0.770 h-1) and APPZ (range: 0.159–0.772 h-1) aquifer zones. The inactivation rates for the second phase of the model for this P. aeruginosa were also similar between UFA (range: 0.003–0.008 h-1) and APPZ (0.004–0.005 h-1) zones, although significantly slower than the model’s first phase rates for this bacterial species.\n\nGeochemical data were used to determine which dissimilatory biogeochemical reactions were most likely to occur under the native conditions in the UFA and APPZ zones using thermodynamics principles to calculate free energy yields and other cell-related energetics data. The biogeochemical processes of acetotrophic and hydrogenotrophic sulfate reduction, methanogenesis and anaerobic oxidation of methane dominated in all six groundwater sites.\n\nA high throughput DNA microarray sequencing technology was used to characterize the diversity in the native aquifer bacterial communities (bacteria and archaea) and assign putative physiological capabilities to the members of those communities. The bacterial communities in both zones of the aquifer were shown to possess the capabilities for primary and secondary fermentation, acetogenesis, methanogenesis, anaerobic methane oxidation, syntrophy with methanogens, ammonification, and sulfate reduction.\n\nThe data from this study provide the first determination of bacterial indicator survival during exposure to native geochemical conditions of the Floridan aquifer in south Florida. Additionally, the energetics and functional bacterial diversity characterizations are the first descriptions of native bacterial communities in this region of the Floridan aquifer and reveal how these communities persist under such extreme conditions. Collectively, these types of data can be used to develop and refine groundwater models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141011","issn":"2331-1258","usgsCitation":"Lisle, J.T., 2014, Survival of bacterial indicators and the functional diversity of native microbial communities in the Floridan aquifer system, south Florida: U.S. Geological Survey Open-File Report 2014-1011, vi, 72 p., https://doi.org/10.3133/ofr20141011.","productDescription":"vi, 72 p.","numberOfPages":"78","onlineOnly":"Y","ipdsId":"IP-050699","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141011.jpg"},{"id":282214,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1011/"},{"id":282215,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1011/pdf/of2014-1011.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Avon Park Permeable Zone;Upper Floridian Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5,26.5 ], [ -81.5,27.5 ], [ -80.0,27.5 ], [ -80.0,26.5 ], [ -81.5,26.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7612e4b0b2908510aaab","contributors":{"authors":[{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489445,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70058701,"text":"sir20135230 - 2014 - Trend analysis and selected summary statistics of annual mean streamflow for 38 selected long-term U.S. Geological Survey streamgages in Texas, water years 1916-2012","interactions":[],"lastModifiedDate":"2016-08-05T13:13:21","indexId":"sir20135230","displayToPublicDate":"2014-02-10T13:03:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5230","title":"Trend analysis and selected summary statistics of annual mean streamflow for 38 selected long-term U.S. Geological Survey streamgages in Texas, water years 1916-2012","docAbstract":"

In 2013, the U.S. Geological Survey (USGS) operated more than 500 continuous streamgages (streamflow-gaging stations) in Texas. In cooperation with the Texas Water Development Board, the USGS evaluated mean annual streamflow data for 38 selected streamgages that were active as of water year 2012. The 38 streamgages have annual mean streamflow data considered natural and unregulated. Collected annual mean streamflow data for a single streamgage ranged from 49 to 97 cumulative years. The nonparametric Kendall’s tau statistical test was used to detect monotonic trends in annual mean streamflow over time. The monotonic trend analysis detected 2 statistically significant upward trends (0.01 one-tail significance), 1 statistically significant downward trend (0.01 one-tail significance level), and 35 instances of no statistically significant trend (0.02 two-tailed significance level). The Theil slope estimate of a regression slope of annual mean streamflow with time was computed for the three stations where trends in streamflow were detected: 2 increasing Theil slopes were measured (+0.40 and +2.72 cubic feet per second per year, respectively), and 1 decreasing Theil slope (–0.24 cubic feet per second per year) was measured.

\n

Selected summary statistics (L-moments) and estimates of respective sampling variances were computed for the 35 streamgages lacking statistically significant trends. From the L-moments and estimated sampling variances, weighted means or regional values were computed for each L-moment. An example application is included demonstrating how the L-moments could be used to evaluate the magnitude and frequency of annual mean streamflow.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135230","issn":"2328-0328","collaboration":"Prepared in cooperation with the Texas Water Development Board","usgsCitation":"Asquith, W.H., and Barbie, D.L., 2014, Trend analysis and selected summary statistics of annual mean streamflow for 38 selected long-term U.S. Geological Survey streamgages in Texas, water years 1916-2012 (First posted 2/10/2014; Version 1.1 revised 8/1/2014): U.S. Geological Survey Scientific Investigations Report 2013-5230, iv, 16 p., https://doi.org/10.3133/sir20135230.","productDescription":"iv, 16 p.","numberOfPages":"23","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1915-10-01","temporalEnd":"2012-09-30","ipdsId":"IP-052213","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":282213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/SIR20135230.jpg"},{"id":282211,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5230/"},{"id":282212,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5230/pdf/sir2013-5230.pdf"}],"scale":"25000","projection":"Lambert Conformal Conic Projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.5,28.0 ], [ -105.5,34.0 ], [ -94.0,34.0 ], [ -94.0,28.0 ], [ -105.5,28.0 ] ] ] } } ] }","edition":"First posted 2/10/2014; Version 1.1 revised 8/1/2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd799de4b0b2908510cef3","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbie, Dana L.","contributorId":64632,"corporation":false,"usgs":true,"family":"Barbie","given":"Dana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":487252,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70093599,"text":"70093599 - 2014 - Assessing mobility and redistribution patterns of sand and oil agglomerates in the surf zone","interactions":[],"lastModifiedDate":"2014-03-14T11:24:39","indexId":"70093599","displayToPublicDate":"2014-02-10T10:09:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Assessing mobility and redistribution patterns of sand and oil agglomerates in the surf zone","docAbstract":"Heavier-than-water sand and oil agglomerates that formed in the surf zone following the Deepwater Horizon oil spill continued to cause beach re-oiling 3 years after initial stranding. To understand this phenomena and inform operational response now and for future spills, a numerical method to assess the mobility and alongshore movement of these “surface residual balls” (SRBs) was developed and applied to the Alabama and western Florida coasts. Alongshore flow and SRB mobility and potential flux were used to identify likely patterns of transport and deposition. Results indicate that under typical calm conditions, cm-size SRBs are unlikely to move alongshore, whereas mobility and transport is likely during storms. The greater mobility of sand compared to SRBs makes burial and exhumation of SRBs likely, and inlets were identified as probable SRB traps. Analysis of field data supports these model results.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Pollution Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2014.01.004","usgsCitation":"Dalyander, P., Long, J.W., Plant, N.G., and Thompson, D.M., 2014, Assessing mobility and redistribution patterns of sand and oil agglomerates in the surf zone: Marine Pollution Bulletin, v. 80, no. 1-2, p. 200-209, https://doi.org/10.1016/j.marpolbul.2014.01.004.","productDescription":"10 p.","startPage":"200","endPage":"209","numberOfPages":"10","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":282208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282207,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpolbul.2014.01.004"}],"country":"United States","state":"Alabama;Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.48,24.61 ], [ -98.48,32.58 ], [ -79.54,32.58 ], [ -79.54,24.61 ], [ -98.48,24.61 ] ] ] } } ] }","volume":"80","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52f9f4dfe4b02baefb041999","contributors":{"authors":[{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":65177,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","affiliations":[],"preferred":false,"id":490072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Joesph W.","contributorId":35232,"corporation":false,"usgs":true,"family":"Long","given":"Joesph","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":490071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":490070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":490069,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70066779,"text":"sir20145002 - 2014 - Assessment of conservation easements, total phosphorus, and total suspended solids in West Fork Beaver Creek, Minnesota, 1999-2012","interactions":[],"lastModifiedDate":"2014-02-10T09:12:26","indexId":"sir20145002","displayToPublicDate":"2014-02-10T09:05:00","publicationYear":"2014","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":"2014-5002","title":"Assessment of conservation easements, total phosphorus, and total suspended solids in West Fork Beaver Creek, Minnesota, 1999-2012","docAbstract":"This study examined conservation easements and their effectiveness at reducing phosphorus and solids transport to streams. The U.S. Geological Survey cooperated with the Minnesota Board of Water and Soil Resources and worked collaboratively with the Hawk Creek Watershed Project to examine the West Fork Beaver Creek Basin in Renville County, which has the largest number of Reinvest In Minnesota land retirement contracts in the State (as of 2013). Among all conservation easement programs, a total of 24,218 acres of agricultural land were retired throughout Renville County, and 2,718 acres were retired in the West Fork Beaver Creek Basin from 1987 through 2012. Total land retirement increased steadily from 1987 until 2000. In 2000, land retirement increased sharply because of the Minnesota River Conservation Reserve Enhancement Program, then leveled off when the program ended in 2002.\n\nStreamflow data were collected during 1999 through 2011, and total phosphorus and total suspended solids data were collected during 1999 through 2012. During this period, the highest peak streamflow of 1,320 cubic feet per second was in March 2010. Total phosphorus and total suspended solids are constituents that tend to increase with increases in streamflow. Annual flow-weighted mean total-phosphorus concentrations ranged from 0.140 to 0.759 milligrams per liter, and annual flow-weighted mean total suspended solids concentrations ranged from 21.3 to 217 milligrams per liter. Annual flow-weighted mean total phosphorus and total suspended solids concentrations decreased steadily during the first 4 years of water-quality sample collection. A downward trend in flow-weighted mean total-phosphorus concentrations was significant from 1999 through 2008; however, flow-weighted total-phosphorus concentrations increased substantially in 2009, and the total phosphorus trend was no longer significant. The high annual flow-weighted mean concentrations for total phosphorus and total suspended solids in 2009 were affected by outlier concentrations documented in March 2009.\n\nAgricultural land-retirement data only were available through 2008; therefore, it was not possible to compare total phosphorus and total suspended solids concentrations to agricultural land-retirement data for 2009–11. A downward trend in annual flow-weighted mean total-phosphorus concentrations was related significantly to annual land retirement for 1999–2008. The relation between annual flow-weighted mean total suspended solids concentration and annual land retirement was not statistically significant for 1999–2008. If land-retirement data had been available for 2009–11, it is possible that the relation between total phosphorus and land retirement would no longer be evident because of the marked increase in flow-weighted concentrations during 2009. Alternatively, the increase in annual flow-weighted mean total-phosphorus concentrations during 2009–11 may be because of other factors, including industrial discharges, increases in drain tile installation, changes in land use including decreases in agricultural land retirement after 2008, increases in erosion, increases in phosphorus applications to fields, or unknown causes. Inclusion of land-retirement effects in agency planning along with other factors adds perspective with regard to the broader picture of interdependent systems and allows agencies to make informed decisions on the benefits of perpetual easements compared to limited duration easements.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145002","issn":"2328-0328","collaboration":"Prepared in cooperation with the Minnesota Board of Water and Soil Resources","usgsCitation":"Christensen, V.G., and Kieta, K.A., 2014, Assessment of conservation easements, total phosphorus, and total suspended solids in West Fork Beaver Creek, Minnesota, 1999-2012: U.S. Geological Survey Scientific Investigations Report 2014-5002, Report: vi, 16 p.; Table 1-1, https://doi.org/10.3133/sir20145002.","productDescription":"Report: vi, 16 p.; Table 1-1","numberOfPages":"28","onlineOnly":"Y","temporalStart":"1999-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-025147","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":282195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145002.jpg"},{"id":282132,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5002/"},{"id":282192,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5002/pdf/sir2014-5002.pdf"},{"id":282193,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5002/downloads/Table1-1.xlsx"}],"scale":"100000","projection":"Universal Transverse Mercator Projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Minnesota","otherGeospatial":"West Fork Beaver Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.5,44.5 ], [ -95.5,45.0 ], [ -94.5,45.0 ], [ -94.5,44.5 ], [ -95.5,44.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4e2be4b0b290850f1ef9","contributors":{"authors":[{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kieta, Kristen A. kkieta@usgs.gov","contributorId":5524,"corporation":false,"usgs":true,"family":"Kieta","given":"Kristen","email":"kkieta@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":487985,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70058455,"text":"sir20135226 - 2014 - Geochemistry of groundwater in the Beaver and Camas Creek drainage basins, eastern Idaho","interactions":[],"lastModifiedDate":"2014-02-07T08:07:04","indexId":"sir20135226","displayToPublicDate":"2014-02-07T07:40:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5226","title":"Geochemistry of groundwater in the Beaver and Camas Creek drainage basins, eastern Idaho","docAbstract":"

The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy, is studying the fate and transport of waste solutes in the eastern Snake River Plain (ESRP) aquifer at the Idaho National Laboratory (INL) in eastern Idaho. This effort requires an understanding of the natural and anthropogenic geochemistry of groundwater at the INL and of the important physical and chemical processes controlling the geochemistry. In this study, the USGS applied geochemical modeling to investigate the geochemistry of groundwater in the Beaver and Camas Creek drainage basins, which provide groundwater recharge to the ESRP aquifer underlying the northeastern part of the INL.

\n
\n

Data used in this study include petrology and mineralogy from 2 sediment and 3 rock samples, and water-quality analyses from 4 surface-water and 18 groundwater samples. The mineralogy of the sediment and rock samples was analyzed with X-ray diffraction, and the mineralogy and petrology of the rock samples were examined in thin sections. The water samples were analyzed for field parameters, major ions, silica, nutrients, dissolved organic carbon, trace elements, tritium, and the stable isotope ratios of hydrogen, oxygen, carbon, sulfur, and nitrogen.

\n
\n

Groundwater geochemistry was influenced by reactions with rocks of the geologic terranes—carbonate rocks, rhyolite, basalt, evaporite deposits, and sediment comprised of all of these rocks. Agricultural practices near and south of Dubois and application of road anti-icing liquids on U.S. Interstate Highway 15 were likely sources of nitrate, chloride, calcium, and magnesium to groundwater.

\n
\n

Groundwater geochemistry was successfully modeled in the alluvial aquifer in Camas Meadows and the ESRP fractured basalt aquifer using the geochemical modeling code PHREEQC. The primary geochemical processes appear to be precipitation or dissolution of calcite and dissolution of silicate minerals. Dissolution of evaporite minerals, associated with Pleistocene Lake Terreton, is an important contributor of solutes in the Mud Lake-Dubois area. Oxidation-reduction reactions are important influences on the chemistry of groundwater at Camas Meadows and the Camas National Wildlife Refuge. In addition, mixing of different groundwaters or surface water with groundwater appears to be an important physical process influencing groundwater geochemistry in much of the study area, and evaporation may be an important physical process influencing the groundwater geochemistry of the Camas National Wildlife Refuge. The mass-balance modeling results from this study provide an explanation of the natural geochemistry of groundwater in the ESRP aquifer northeast of the INL, and thus provide a starting point for evaluating the natural and anthropogenic geochemistry of groundwater at the INL.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135226","collaboration":"DOE/ID-22227. Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Rattray, G.W., and Ginsbach, M.L., 2014, Geochemistry of groundwater in the Beaver and Camas Creek drainage basins, eastern Idaho: U.S. Geological Survey Scientific Investigations Report 2013-5226, viii, 70 p., https://doi.org/10.3133/sir20135226.","productDescription":"viii, 70 p.","numberOfPages":"82","onlineOnly":"Y","ipdsId":"IP-037491","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":282086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135226.jpg"},{"id":282084,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5226/"},{"id":282085,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5226/pdf/sir2013-5226.pdf"}],"datum":"NAD 1927","country":"United States","state":"Idaho","otherGeospatial":"Beaver Creek;Camas Creek;Camas National Wildlife Refuge;Eastern Snake River Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.2006,41.9922 ], [ -115.2006,45.3019 ], [ -110.3906,45.3019 ], [ -110.3906,41.9922 ], [ -115.2006,41.9922 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5b02e4b0b290850f9bca","contributors":{"authors":[{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ginsbach, Michael L.","contributorId":56972,"corporation":false,"usgs":true,"family":"Ginsbach","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":487061,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70074669,"text":"fs20143006 - 2014 - The 3D Elevation Program: summary for New York","interactions":[],"lastModifiedDate":"2016-08-17T15:56:56","indexId":"fs20143006","displayToPublicDate":"2014-02-06T14:08:00","publicationYear":"2014","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":"2014-3006","title":"The 3D Elevation Program: summary for New York","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 New York, elevation data are critical for coastal zone management, natural resources conservation, agriculture and precision farming, flood risk management, infrastructure and construction management, water supply and quality, 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.

\n

The 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 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 (USGS), 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/fs20143006","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for New York: U.S. Geological Survey Fact Sheet 2014-3006, 2 p., https://doi.org/10.3133/fs20143006.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052807","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":282076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143006.jpg"},{"id":282074,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3006/"},{"id":282075,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3006/pdf/fs2014-3006.pdf","text":"Report","size":"370 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"New 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Jr. carswell@usgs.gov","contributorId":1787,"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":489750,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70074056,"text":"fs20143005 - 2014 - The 3D Elevation Program: summary for Maryland","interactions":[],"lastModifiedDate":"2016-08-17T16:25:35","indexId":"fs20143005","displayToPublicDate":"2014-02-06T14:06:00","publicationYear":"2014","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":"2014-3005","title":"The 3D Elevation Program: summary for Maryland","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 Maryland, elevation data are critical for agriculture and precision farming, natural resources conservation such as the Chesapeake Bay and its watershed, flood risk management, urban and regional planning, infrastructure and construction management, water supply and quality, coastal zone management, 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.

\n

The 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 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 (USGS), 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/fs20143005","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Maryland: U.S. Geological Survey Fact Sheet 2014-3005, 2 p., https://doi.org/10.3133/fs20143005.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051742","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":282077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143005.jpg"},{"id":282072,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3005/"},{"id":282073,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3005/pdf/fs2014-3005.pdf","text":"Report","size":"435 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd76c0e4b0b2908510b18a","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":1787,"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":489354,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70071899,"text":"fs20133041 - 2014 - Arkansas StreamStats: A U.S. Geological Survey web map application for basin characteristics and streamflow statistics","interactions":[],"lastModifiedDate":"2026-06-11T13:08:58.774308","indexId":"fs20133041","displayToPublicDate":"2014-02-05T11:08:00","publicationYear":"2014","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":"2013-3041","title":"Arkansas StreamStats: A U.S. Geological Survey web map application for basin characteristics and streamflow statistics","docAbstract":"

The U.S. Geological Survey (USGS) provides streamflow and other related information needed by water-resource managers responsible for protecting people and property from floods, planning and managing water-resource activities, and protecting water quality. Streamflow statistics provided by the USGS, such as the 1-percent annual exceedance probability (100-year flood) and the 7-day 10-year low flow, are frequently used by engineers, flood forecasters, land managers, biologists, and others to guide their everyday decisions. Additionally, resource managers often need to know basin characteristics, the physical and climatic characteristics of a drainage basin, to help understand the mechanisms that control water availability, water quality, and aquatic habitats at various locations.

\n

Users of streamflow information often require streamflow statistics and basin characteristics at various locations along a stream. The USGS periodically calculates and publishes streamflow statistics and basin characteristics for streamflowgaging stations and partial-record stations, but these data commonly are scattered among many reports that may or may not be readily available to the public. The USGS also provides and periodically updates regional analyses of streamflow statistics that include regression equations and other prediction methods for estimating statistics for ungaged and unregulated streams across the State. Use of these regional predictions for a stream can be complex and often requires the user to determine a number of basin characteristics that may require interpretation. Basin characteristics may include drainage area, classifiers for physical properties, climatic characteristics, and other inputs. Obtaining these input values for gaged and ungaged locations traditionally has been time consuming, subjective, and can lead to inconsistent results.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133041","usgsCitation":"Pugh, A., 2014, Arkansas StreamStats: a U.S. Geological Survey web map application for basin characteristics and streamflow statistics: U.S. Geological Survey Fact Sheet 2013-3041, 2 p., https://doi.org/10.3133/fs20133041.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-046169","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":505353,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99535.htm","linkFileType":{"id":5,"text":"html"}},{"id":282009,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133041.jpg"},{"id":282008,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3041"},{"id":282011,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3041/pdf/fs2013-3041.pdf"}],"country":"United States","state":"Arkansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.6179,33.0041 ], [ -94.6179,36.4997 ], [ -89.6468,36.4997 ], [ -89.6468,33.0041 ], [ -94.6179,33.0041 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4debe4b0b290850f1c9b","contributors":{"authors":[{"text":"Pugh, Aaron L. apugh@usgs.gov","contributorId":2480,"corporation":false,"usgs":true,"family":"Pugh","given":"Aaron L.","email":"apugh@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488353,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70059052,"text":"sir20135233 - 2014 - Estimation of potential scour at bridges on local government roads in South Dakota, 2009-12","interactions":[],"lastModifiedDate":"2017-10-12T20:13:49","indexId":"sir20135233","displayToPublicDate":"2014-02-04T10:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5233","title":"Estimation of potential scour at bridges on local government roads in South Dakota, 2009-12","docAbstract":"

In 2009, the U.S. Geological Survey and South Dakota Department of Transportation (SDDOT) began a study to estimate potential scour at selected bridges on local government (county, township, and municipal) roads in South Dakota. A rapid scour-estimation method (level-1.5) and a more detailed method (level-2) were used to develop estimates of contraction, abutment, and pier scour.

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\n

Data from 41 level-2 analyses completed for this study were combined with data from level-2 analyses completed in previous studies to develop new South Dakota-specific regression equations: four regional equations for main-channel velocity at the bridge contraction to account for the widely varying stream conditions within South Dakota, and one equation for head change. Velocity data from streamgages also were used in the regression for average velocity through the bridge contraction.

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\n

Using these new regression equations, scour analyses were completed using the level-1.5 method on 361 bridges on local government roads. Typically, level-1.5 analyses are completed at flows estimated to have annual exceedance probabilities of 1 percent (100-year flood) and 0.2 percent (500-year flood); however, at some sites the bridge would not pass these flows. A level-1.5 analysis was then completed at the flow expected to produce the maximum scour. Data presented for level-1.5 scour analyses at the 361 bridges include contraction, abutment, and pier scour. Estimates of potential contraction scour ranged from 0 to 32.5 feet for the various flows evaluated. Estimated potential abutment scour ranged from 0 to 40.9 feet for left abutments, and from 0 to 37.7 feet for right abutments. Pier scour values ranged from 2.7 to 31.6 feet. The scour depth estimates provided in this report can be used by the SDDOT to compare with foundation depths at each bridge to determine if abutments or piers are at risk of being undermined by scour at the flows evaluated.

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\n

Replicate analyses were completed at 24 of the 361 bridges to provide quality-assurance/quality-control measures for the level-1.5 scour estimates. An attempt was made to use the same flows among replicate analyses. Scour estimates do not necessarily have to be in numerical agreement to give the same results. For example, if contraction scour replicate analyses are 18.8 and 30.8 feet, both scour depths can indicate susceptibility to scour for which countermeasures may be needed, even though one number is much greater than the other number. Contraction scour has perhaps the greatest potential for being estimated differently in replicate visits. For contraction scour estimates at the various flows analyzed, differences between results ranged from -7.8 to 5.5 feet, with a median difference of 0.4 foot and an average difference of 0.2 foot. Abutment scour appeared to be nearly as reproducible as contraction scour. For abutment scour estimates at the varying flows analyzed, differences between results ranged from -17.4 to 11 feet, with a median difference of 1.4 feet and an average difference of 1.7 feet. Estimates of pier scour tended to be the most consistently reproduced in replicate visits, with differences between results ranging from -0.3 to 0.5 foot, with a median difference of 0.0 foot and an average difference of 0.0 foot.

\n
\n

The U.S. Army Corps of Engineers Hydraulics Engineering Center River Analysis Systems (HEC-RAS) software package was used to model stream hydraulics at the 41 sites with level-2 analyses. Level-1.5 analyses also were completed at these sites, and the performance of the level-1.5 method was assessed by comparing results to those from the more rigorous level-2 method. The envelope curve approach used in the level-1.5 method is designed to overestimate scour relative to the estimate from the level-2 scour analysis. In cases where the level-1.5 method estimated less scour than the level-2 method, the amount of underestimation generally was less than 3 feet. The level-1.5 method generally overestimated contraction, abutment, and pier scour relative to the level-2 method, as intended. Although the level-1.5 method is designed to overestimate scour relative to more involved analysis methods, many assumptions, uncertainties, and estimations are involved. If the envelope curves are adjusted such that the level-1.5 method never underestimates scour relative to the level-2 method, an accompanying result may be excessive overestimation.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135233","collaboration":"Prepared in cooperation with the South Dakota Department of Transportation","usgsCitation":"Thompson, R.F., Wattier, C.M., Liggett, R.R., and Truax, R.A., 2014, Estimation of potential scour at bridges on local government roads in South Dakota, 2009-12: U.S. Geological Survey Scientific Investigations Report 2013-5233, Report: vi, 24 p.; 4 Appendixes, https://doi.org/10.3133/sir20135233.","productDescription":"Report: vi, 24 p.; 4 Appendixes","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-044841","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":281954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135233.jpg"},{"id":281953,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5233/downloads/Appendix_4.xls"},{"id":281950,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5233/"},{"id":281951,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5233/downloads/Appendix2"},{"id":281952,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5233/downloads/Appendix_3.xls"},{"id":281955,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5233/pdf/sir2013-5233.pdf"},{"id":281956,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5233/downloads/Appendix_1.xls"}],"projection":"Universal Transverse Mercator projection","country":"United States","state":"South Dakota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.73,42.24 ], [ -104.73,46.19 ], [ -95.99,46.19 ], [ -95.99,42.24 ], [ -104.73,42.24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5825e4b0b290850f7e91","contributors":{"authors":[{"text":"Thompson, Ryan F. 0000-0002-4544-6108 rcthomps@usgs.gov","orcid":"https://orcid.org/0000-0002-4544-6108","contributorId":2702,"corporation":false,"usgs":true,"family":"Thompson","given":"Ryan","email":"rcthomps@usgs.gov","middleInitial":"F.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wattier, Chelsea M.","contributorId":7993,"corporation":false,"usgs":true,"family":"Wattier","given":"Chelsea","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":487458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liggett, Richard R.","contributorId":73105,"corporation":false,"usgs":true,"family":"Liggett","given":"Richard","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":487460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Truax, Ryan A.","contributorId":63305,"corporation":false,"usgs":true,"family":"Truax","given":"Ryan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487459,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70058742,"text":"fs20133117 - 2014 - Landsat Surface Reflectance Climate Data Records","interactions":[],"lastModifiedDate":"2014-02-04T10:15:03","indexId":"fs20133117","displayToPublicDate":"2014-02-04T10:11:00","publicationYear":"2014","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":"2013-3117","title":"Landsat Surface Reflectance Climate Data Records","docAbstract":"Landsat Surface Reflectance Climate Data Records (CDRs) are high level Landsat data products that support land surface change studies. Climate Data Records, as defined by the National Research Council, are a time series of measurements with sufficient length, consistency, and continuity to identify climate variability and change. The U.S. Geological Survey (USGS) is using the valuable 40-year Landsat archive to create CDRs that can be used to document changes to Earth’s terrestrial environment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133117","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2014, Landsat Surface Reflectance Climate Data Records: U.S. Geological Survey Fact Sheet 2013-3117, 1 p., https://doi.org/10.3133/fs20133117.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","ipdsId":"IP-052442","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":281949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133117.jpg"},{"id":281946,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3117/"},{"id":281948,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3117/pdf/fs2013-3117.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd63f8e4b0b290850ff285","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535611,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70058731,"text":"sir20135221 - 2014 - Water-quality variability and constituent transport and processes in streams of Johnson County, Kansas, using continuous monitoring and regression models, 2003-11","interactions":[],"lastModifiedDate":"2014-02-04T10:08:49","indexId":"sir20135221","displayToPublicDate":"2014-02-04T09:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5221","title":"Water-quality variability and constituent transport and processes in streams of Johnson County, Kansas, using continuous monitoring and regression models, 2003-11","docAbstract":"

The population of Johnson County, Kansas increased by about 24 percent between 2000 and 2012, making it one of the most rapidly developing areas of Kansas. The U.S. Geological Survey, in cooperation with the Johnson County Stormwater Management Program, began a comprehensive study of Johnson County streams in 2002 to evaluate and monitor changes in stream quality. The purpose of this report is to describe water-quality variability and constituent transport for streams representing the five largest watersheds in Johnson County, Kansas during 2003 through 2011. The watersheds ranged in urban development from 98.3 percent urban (Indian Creek) to 16.7 percent urban (Kill Creek). Water-quality conditions are quantified among the watersheds of similar size (50.1 square miles to 65.7 square miles) using continuous, in-stream measurements, and using regression models developed from continuous and discrete data. These data are used to quantify variability in concentrations and loads during changing streamflow and seasonal conditions, describe differences among sites, and assess water quality relative to water-quality standards and stream management goals.

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Water quality varied relative to streamflow conditions, urbanization in the upstream watershed, and contributions from wastewater treatment facilities and storm runoff. Generally, as percent impervious surface (a measure of urbanization) increased, streamflow yield increased. Water temperature of Indian Creek, the most urban site which is also downstream from wastewater facility discharges, was higher than the other sites about 50 percent of the time, particularly during winter months. Dissolved oxygen concentrations were less than the Kansas Department of Health and Environment minimum criterion of 5 milligrams per liter about 15 percent of the time at the Indian Creek site. Dissolved oxygen concentrations were less than the criterion about 10 percent of the time at the rural Blue River and Kill Creek sites, and less than 5 percent of the time at the other sites. Low dissolved oxygen at all sites generally coincided with lowest streamflow and warmer water temperatures. Hourly dissolved oxygen concentrations less than 5 milligrams per liter were measured at all sites every year, indicating that even under normal climate conditions in non-urban watersheds such as Kill Creek, dissolved oxygen concentrations may not meet State aquatic-life criterion.

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Specific conductance was nearly always highest in Indian and Mill Creeks, which were the most urban streams with the largest upstream discharges from wastewater treatment facilities. The largest chloride concentrations and variability were recorded at urban sites and during winter. Each winter during the study period, chloride concentrations in the most urban site, Indian Creek, exceeded the U.S. Environmental Protection Agency-recommended criterion of 230 milligrams per liter for at least 10 consecutive days.

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The U.S. Environmental Protection Agency-recommended ecoregion criterion for turbidity was exceeded 30 (Indian Creek) to 50 (Blue River) percent of the time. The highest average annual streamflow-weighted suspendedsediment concentration during the study period was in Mill Creek, which has undergone rapid development that likely contributed to higher sediment concentrations. One of the largest suspended-sediment load events in Indian Creek was recorded in early May 2007 when about 25 percent of the total annual sediment load was transported during a period of about 2.25 days. A simultaneous load event was recorded in Kill Creek, when about 75 percent of the total annual sediment load was transported. Sediment yields generally increased as percent impervious surface increased.

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Computed hourly total nitrogen and total phosphorus concentrations and yields and streamflow-weighted concentrations generally were largest in Indian and Mill Creeks. Annual percent contribution of total nitrogen in the Blue River from wastewater treatment facility discharges ranged from 19 percent in 2010 to 60 percent in 2006. Annual percent contribution of total nitrogen in Indian Creek from wastewater treatment facility discharges ranged from 35 percent in 2010 to 93 percent in 2006. The largest percent nutrient contributions from wastewater discharges coincided with the smallest annual precipitation and streamflow volume, resulting in less contribution originating from runoff.

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Fecal indicator bacteria Escherichia coli density at the urban Indian Creek site was usually the largest of the five monitoring sites, with an annual median density that consistently exceeded the State primary contact criterion value but was less than the secondary contact criterion. Less than 1 percent of the total annual bacteria load in the Blue River and Indian Creek originated from wastewater discharges, except during 2006 when about 6 percent of the Indian Creek load originated from wastewater.

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Continuous water-quality monitoring provides a foundation for comprehensive evaluation and understanding of variability and loading characteristics in streams in Johnson County. Because several directly measured parameters are strongly correlated with particular constituents of interest, regression models provide a valuable tool for evaluating variability and loading on the basis of computed continuous data. Continuous data are particularly useful for characterizing nonpoint-source contributions from stormwater runoff. Transmission of continuous data in real-time makes it possible to rapidly detect and respond to potential environmental concerns. As monitoring technologies continue to improve, so does the ability to monitor additional constituents of interest, with smaller measurement error, and at lower operational cost. Continuous water-quality data including model information and computed concentrations and loads during the study period are available at http://nrtwq.usgs.gov/ks/.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135221","collaboration":"Prepared in cooperation with the Johnson County Stormwater Management Program","usgsCitation":"Rasmussen, T., and Gatotho, J., 2014, Water-quality variability and constituent transport and processes in streams of Johnson County, Kansas, using continuous monitoring and regression models, 2003-11: U.S. Geological Survey Scientific Investigations Report 2013-5221, vi, 53 p., https://doi.org/10.3133/sir20135221.","productDescription":"vi, 53 p.","numberOfPages":"64","onlineOnly":"Y","temporalStart":"2003-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-049314","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":281945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135221.jpg"},{"id":281941,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5221/"},{"id":281944,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5221/pdf/sir2013-5221.pdf"}],"projection":"Albers Conic Equal-Area Projection","datum":"NAD 83","country":"United States","state":"Kansas","county":"Johnson County","otherGeospatial":"Blue River;Indian Creek;Kill Creek;Mill Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.1699,38.6994 ], [ -95.1699,39.1002 ], [ -94.4996,39.1002 ], [ -94.4996,38.6994 ], [ -95.1699,38.6994 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7d33e4b0b2908510f3bf","contributors":{"authors":[{"text":"Rasmussen, Teresa","contributorId":101993,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"","affiliations":[],"preferred":false,"id":487307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gatotho, Jackline","contributorId":103582,"corporation":false,"usgs":true,"family":"Gatotho","given":"Jackline","affiliations":[],"preferred":false,"id":487308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70058497,"text":"ofr20131168 - 2014 - Evaluation of aerial thermal infrared remote sensing to identify groundwater-discharge zones in the Meduxnekeag River, Houlton, Maine","interactions":[],"lastModifiedDate":"2014-02-04T09:46:16","indexId":"ofr20131168","displayToPublicDate":"2014-02-04T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1168","title":"Evaluation of aerial thermal infrared remote sensing to identify groundwater-discharge zones in the Meduxnekeag River, Houlton, Maine","docAbstract":"

Residents of the area near Houlton, Maine, have observed seasonal episodic blooms of algae and documented elevated concentrations of fecal-coliform bacteria and inorganic nutrients and low dissolved oxygen concentrations in the Meduxnekeag River. Although point and nonpoint sources of urban and agricultural runoff likely contribute to water-quality impairment, the role of shallow groundwater inflows in delivering such contaminants to the Meduxnekeag River has not been well understood.

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To provide information about possible groundwater inflows to the river, airborne thermal infrared videography was evaluated as a means to identify and classify thermal anomalies in a 25-mile reach of the mainstem and tributaries of the Meduxnekeag River near Houlton, Maine. The U.S. Geological Survey, in cooperation with the Houlton Band of Maliseet Indians, collected thermal infrared images from a single-engine, fixed-wing aircraft during flights on December 3–4, 2003, and November 26, 2004.

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Eleven thermal anomalies were identified on the basis of data from the December 2003 flight and 17 from the November 2004 flight, which covered the same reaches of stream. Following image analysis, characterization, and prioritization, the georeferenced infrared images of the thermal anomalies were compared to features on topographic maps of the study area. The mapped anomalies were used to direct observations on the ground to confirm discharge locations and types of inflow. The variations in grayscale patterns on the images were thus confirmed as representing shallow groundwater-discharge zones (seeps), outfalls of treated wastewater, or ditches draining runoff from impervious surfaces.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131168","collaboration":"Prepared in cooperation with the Houlton Band of Maliseet Indians","usgsCitation":"Culbertson, C.W., Huntington, T.G., Caldwell, J.M., and O’Donnell, C., 2014, Evaluation of aerial thermal infrared remote sensing to identify groundwater-discharge zones in the Meduxnekeag River, Houlton, Maine: U.S. Geological Survey Open-File Report 2013-1168, v, 21 p., https://doi.org/10.3133/ofr20131168.","productDescription":"v, 21 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-032616","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":281943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131168.jpg"},{"id":281940,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1168"},{"id":281942,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1168/pdf/ofr2013-1168.pdf"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Maine","city":"Houlton","otherGeospatial":"Meduxnekeag River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -68.201752,45.849369 ], [ -68.201752,46.401882 ], [ -67.649002,46.401882 ], [ -67.649002,45.849369 ], [ -68.201752,45.849369 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5850e4b0b290850f8044","contributors":{"authors":[{"text":"Culbertson, Charles W. cculbert@usgs.gov","contributorId":1607,"corporation":false,"usgs":true,"family":"Culbertson","given":"Charles","email":"cculbert@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, James M. 0000-0001-5880-443X jmcald@usgs.gov","orcid":"https://orcid.org/0000-0001-5880-443X","contributorId":1882,"corporation":false,"usgs":true,"family":"Caldwell","given":"James","email":"jmcald@usgs.gov","middleInitial":"M.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Donnell, Cara","contributorId":79800,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Cara","email":"","affiliations":[],"preferred":false,"id":487115,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70073561,"text":"sir20145009 - 2014 - Effects of land use, stream habitat, and water quality on biological communities of wadeable streams in the Illinois River Basin of Arkansas, 2011 and 2012","interactions":[],"lastModifiedDate":"2014-02-04T09:23:47","indexId":"sir20145009","displayToPublicDate":"2014-02-03T12:38:00","publicationYear":"2014","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":"2014-5009","title":"Effects of land use, stream habitat, and water quality on biological communities of wadeable streams in the Illinois River Basin of Arkansas, 2011 and 2012","docAbstract":"

The Illinois River Basin includes an area of diverse land use in northwestern Arkansas. Land-use data collected in 2006 indicate that most of the land in the basin is agricultural. The agricultural land is used primarily for production of poultry and cattle.

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\n

Eighteen sites were selected from the list of candidate sites based on drainage area, land use, presence or absence of an upstream wastewater-treatment plant, water quality, and other information gathered during the reconnaissance. An important consideration in the process was to select sites along gradients of forest to urban land use and forest to agricultural land use. Water-quality samples were collected for analysis of nutrients, and a multiparameter field meter was used to measure water temperature, specific conductance, pH, and dissolved oxygen. Streamflow was measured immediately following the water-quality sampling. Macroalgae coverage was estimated and periphyton, macroinvertebrate, and fish communities were sampled at each site. Stream habitat also was assessed.

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Many types of land-use, water-quality, and habitat factors affected one or more aspects of the biological communities. Several macroinvertebrate and fish metrics changed in response to changes in percent forest; sites that would be considered most disturbed, based on these metrics, are sites with the highest percentages of urban land use in their associated basins.

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The presence of large mats of macroalgae was one of the most noticeable biological characteristics in several streams within the Illinois River Basin. The highest macroalgae percent cover values were recorded at four sites downstream from wastewater-treatment plants. Macroalgae percent cover was strongly correlated only with bed substrate size, canopy closure, and specific conductance.

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Periphyton metrics were most often and most strongly correlated with riparian shading, specific conductance, substrate turbidity, percent agriculture, poultry house density, and unpaved road density; some of these factors were strongly correlated with percent forest, percent urban, or percent agriculture. Total biovolume of periphyton was not strongly correlated with any of the land use, habitat, or water-quality factors assessed in the present study. Although algal growth typically increases with higher nutrient concentrations and less shading, the standing crop of periphyton on rocks can be reduced by herbivorous macroinvertebrates and fish, which may explain why total biovolume in Ozark streams was not strongly affected by water-quality (or other habitat) factors.

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A macroinvertebrate index and several macroinvertebrate metrics were adversely affected by increasing urban and agricultural land use and associated environmental factors. Factors most commonly affecting the index and metrics included factors associated with water quality, stream geometry, sediment, land-use percentages, and road density. In general, the macroinvertebrate index was higher (indicative of least disturbance) at sites with greater percentages of forest in their basins, lower percentages of urban land in their basins, and lower paved road density. Upstream wastewater-treatment plants affected several metrics. For example, three of the five lowest macroinvertebrate index scores, two of the five lowest percent predator values, and two of the five highest percent gatherer-collector values were at sites downstream from wastewater-treatment plants.

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The Ozark Highlands fish index of biotic integrity and several fish metrics were adversely affected by increasing urban and agricultural land use and associated factors. Factors affecting these metrics included factors associated with nutrients, sediment, and shading. In general, the fish index of biotic integrity was higher at sites with higher percentages of forest in their basins, lower percentages of urban land in their basins, higher unpaved road density, and lower paved and total road density. Upstream wastewater-treatment plants seemed to affect some fish community metrics substantially but had little effect on other metrics. For example, three of the five lowest relative abundances of lithophilic spawner minus stonerollers and four of the five highest stoneroller abundances were at sites downstream from wastewater-treatment plants.

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Interpretations of the results of the study described in this report are limited by a number of factors. These factors individually and collectively add to uncertainty and variability in the responses to various environmental stresses. Notwithstanding the limiting factors, the biological responses of macroalgae cover and periphyton, macroinvertebrate, and fish metrics to environmental variables provide multiple lines of evidence that biological communities of these streams are affected by recent and ongoing land-use practices.

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\n

For several biological metrics there appears to be a threshold of about 40 to 50 percent forest where values of these metrics change in magnitude. However, the four sites with more than 50 percent forest in their basins were the four sites sampled in late May–early June of 2012 (rather than July–August of 2011). The relative influence of season and forest percentage on the biological communities at these sites is unknown.

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