{"pageNumber":"502","pageRowStart":"12525","pageSize":"25","recordCount":46666,"records":[{"id":70114464,"text":"70114464 - 2014 - Using multiple data sets to populate probabilistic volcanic event trees","interactions":[],"lastModifiedDate":"2016-06-28T16:29:33","indexId":"70114464","displayToPublicDate":"2014-11-07T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Using multiple data sets to populate probabilistic volcanic event trees","docAbstract":"

The key parameters one needs to forecast outcomes of volcanic unrest are hidden kilometers beneath the Earth’s surface, and volcanic systems are so complex that there will invariably be stochastic elements in the evolution of any unrest. Fortunately, there is sufficient regularity in behaviour that some, perhaps many, eruptions can be forecast with enough certainty for populations to be evacuated and kept safe. Volcanologists charged with forecasting eruptions must try to understand each volcanic system well enough that unrest can be interpreted in terms of pre-eruptive process, but must simultaneously recognize and convey uncertainties in their assessment. We have found that use of event trees helps to focus discussion, integrate data from multiple sources, reach consensus among scientists about both pre-eruptive process and uncertainties and, in some cases, to explain all of this to officials. Figure 1 shows a generic volcanic event tree from Newhall and Hoblitt (2002) that can be modified as needed for each specific volcano. This paper reviews how we and our colleagues have used such trees during a number of volcanic crises worldwide, for rapid hazard assessments in situations in which more formal expert elicitations could not be conducted. We describe how Multiple Data Sets can be used to estimate probabilities at each node and branch. We also present case histories of probability estimation during crises, how the estimates were used by public officials, and some suggestions for future improvements.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Volcanic Hazards, Risks and Disasters","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-396453-3.00008-3","usgsCitation":"Newhall, C.G., and Pallister, J.S., 2014, Using multiple data sets to populate probabilistic volcanic event trees, chap. of Volcanic Hazards, Risks and Disasters, p. 203-232, https://doi.org/10.1016/B978-0-12-396453-3.00008-3.","productDescription":"30 p.","startPage":"203","endPage":"232","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055823","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":324570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb8e4b07657d1a90da1","contributors":{"authors":[{"text":"Newhall, C. G.","contributorId":93056,"corporation":false,"usgs":true,"family":"Newhall","given":"C.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":519002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pallister, John S. 0000-0002-2041-2147 jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":519001,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70118093,"text":"ds862 - 2014 - USGS Arctic Ocean Carbon Cruise 2012: Field Activity L-01-12-AR to collect carbon data in the Arctic Ocean, August-September 2012","interactions":[],"lastModifiedDate":"2014-11-07T13:27:04","indexId":"ds862","displayToPublicDate":"2014-11-06T16:30:00","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":"862","title":"USGS Arctic Ocean Carbon Cruise 2012: Field Activity L-01-12-AR to collect carbon data in the Arctic Ocean, August-September 2012","docAbstract":"

From August 25 to September 27, 2012, the United States Coast Guard Cutter (USCGC) Healy was part of an Extended Continental Shelf Project to determine the limits of the extended continental shelf in the Arctic. On a non-interference basis, a USGS ocean acidification team participated on the cruise to collect baseline water data in the Arctic. The collection of data extended from coastal waters near Barrow, Alaska, to 83°2'N., -175°36'W., and southward back to coastal waters near Barrow and on to Dutch Harbor, Alaska. As a consequence, a number of hypotheses were tested and questions asked associated with ocean acidification, including:

\n

 

\n\n

 

\n

During the cruise, underway continuous and discrete water samples were collected, and discrete water samples were collected at stations to document the carbonate chemistry of the Arctic waters and quantify the saturation state of seawater with respect to calcium carbonate. These data are critical for providing baseline information in areas where no data have existed prior and will also be used to test existing models and predict future trends.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds862","usgsCitation":"Robbins, L.L., Wynn, J., Knorr, P.O., Onac, B., Lisle, J.T., McMullen, K.Y., Yates, K.K., Byrne, R., and Liu, X., 2014, USGS Arctic Ocean Carbon Cruise 2012: Field Activity L-01-12-AR to collect carbon data in the Arctic Ocean, August-September 2012: U.S. Geological Survey Data Series 862, HTML Document, https://doi.org/10.3133/ds862.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-08-01","temporalEnd":"2012-09-30","ipdsId":"IP-051020","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":295933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds862.jpg"},{"id":295931,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0862/"},{"id":295932,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0862/ds862_abstract.html"}],"country":"United States","otherGeospatial":"Arctic Ocean","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"545c8da2e4b0ba8303f703c0","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":519133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wynn, Jonathan","contributorId":9943,"corporation":false,"usgs":false,"family":"Wynn","given":"Jonathan","affiliations":[],"preferred":false,"id":524457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":524458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Onac, Bogdan","contributorId":127356,"corporation":false,"usgs":false,"family":"Onac","given":"Bogdan","affiliations":[],"preferred":false,"id":524459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":524460,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McMullen, Katherine Y. kmcmullen@usgs.gov","contributorId":2148,"corporation":false,"usgs":true,"family":"McMullen","given":"Katherine","email":"kmcmullen@usgs.gov","middleInitial":"Y.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":524461,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":524462,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":524463,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Xuewu","contributorId":87676,"corporation":false,"usgs":true,"family":"Liu","given":"Xuewu","email":"","affiliations":[],"preferred":false,"id":524464,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70129027,"text":"sim3314 - 2014 - Geologic map of the west-central Buffalo National River region, northern Arkansas","interactions":[],"lastModifiedDate":"2014-11-06T13:08:05","indexId":"sim3314","displayToPublicDate":"2014-11-06T13:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3314","title":"Geologic map of the west-central Buffalo National River region, northern Arkansas","docAbstract":"

This map summarizes the geology of the west-central Buffalo National River region in the Ozark Plateaus region of northern Arkansas. Geologically, the region lies on the southern flank of the Ozark dome, an uplift that exposes oldest rocks at its center in Missouri. Physiographically, the map area spans the Springfield Plateau, a topographic surface generally held up by Mississippian cherty limestone and the higher Boston Mountains to the south, held up by Pennsylvanian rocks. The Buffalo River flows eastward through the map area, enhancing bedrock erosion of an approximately 1,600-ft- (490-m-) thick sequence of Ordovician, Mississippian, and Pennsylvanian carbonate and clastic sedimentary rocks that have been mildly deformed by a series of faults and folds. Quaternary surficial units are present as alluvial deposits along major streams, including a series of terrace deposits from the Buffalo River, as well as colluvium and landslide deposits mantling bedrock on hillslopes.

\n

 

\n

This report provides a geologic map database of the map area that improves understanding of the regional geologic framework and its influence on the regional groundwater flow system. Furthermore, additional edits were made to the Ponca and Jasper quadrangles in the following ways: new control points on important contacts were obtained using modern GPS; recent higher resolution elevation data allowed further control on placement of contacts; some new contacts were added, in particular the contact separating the upper and lower Everton Formation.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3314","usgsCitation":"Hudson, M., and Turner, K.J., 2014, Geologic map of the west-central Buffalo National River region, northern Arkansas: U.S. Geological Survey Scientific Investigations Map 3314, 2 Plates: 58.0 x 51.5 inches and 58.0 x 29.0 inches; Downloads Directory, https://doi.org/10.3133/sim3314.","productDescription":"2 Plates: 58.0 x 51.5 inches and 58.0 x 29.0 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-045630","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":295923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3314.jpg"},{"id":295891,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3314/"},{"id":295920,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3314/pdf/SIM3314_west_sheet1.pdf","text":"Map Sheet 1 (West)","size":"71.1 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":295921,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3314/pdf/SIM3314_east_sheet2.pdf","text":"Map Sheet 2 (East)","size":"46.5","linkFileType":{"id":1,"text":"pdf"}},{"id":295922,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3314/downloads/","text":"Downloads Directory"}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1927","country":"United States","state":"Arkansas","otherGeospatial":"Buffalo National River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"545c8d9ee4b0ba8303f7037e","contributors":{"authors":[{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":524264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Kenzie J. 0000-0002-4940-3981 kturner@usgs.gov","orcid":"https://orcid.org/0000-0002-4940-3981","contributorId":496,"corporation":false,"usgs":true,"family":"Turner","given":"Kenzie","email":"kturner@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":524265,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70125934,"text":"ds886 - 2014 - Quality of surface water in Missouri, water year 2013","interactions":[],"lastModifiedDate":"2016-08-10T11:14:04","indexId":"ds886","displayToPublicDate":"2014-11-06T09:15:00","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":"886","title":"Quality of surface water in Missouri, water year 2013","docAbstract":"

The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, designed and operates a series of monitoring stations on streams and springs throughout Missouri known as the Ambient Water-Quality Monitoring Network. During the 2013 water year (October 1, 2012, through September 30, 2013), data were collected at 79 stations—73 Ambient Water-Quality Monitoring Network stations, 4 alternate Ambient Water-Quality Monitoring Network stations, and 2 U.S. Geological Survey National Stream Quality Accounting Network stations. Dissolved oxygen, specific conductance, water temperature, suspended solids, suspended sediment, Escherichia coli bacteria, fecal coliform bacteria, dissolved nitrate plus nitrite as nitrogen, total phosphorus, dissolved and total recoverable lead and zinc, and select pesticide compound summaries are presented for 76 of these stations. The stations primarily have been classified into groups corresponding to the physiography of the State, primary land use, or unique station types. In addition, a summary of hydrologic conditions in the State including peak discharges, monthly mean discharges, and 7-day low flow is presented.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds886","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Barr, M.N., and Schneider, R.E., 2014, Quality of surface water in Missouri, water year 2013: U.S. Geological Survey Data Series 886, iv, 21 p., https://doi.org/10.3133/ds886.","productDescription":"iv, 21 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-058570","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":295907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds886.jpg"},{"id":295894,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0886/"},{"id":295906,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0886/pdf/ds886.pdf"}],"country":"United States","state":"Missouri","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"545c8da1e4b0ba8303f703a6","contributors":{"authors":[{"text":"Barr, Miya N. 0000-0002-9961-9190 mnbarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9961-9190","contributorId":3686,"corporation":false,"usgs":true,"family":"Barr","given":"Miya","email":"mnbarr@usgs.gov","middleInitial":"N.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":524274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schneider, Rachel E. rschneider@usgs.gov","contributorId":5786,"corporation":false,"usgs":true,"family":"Schneider","given":"Rachel","email":"rschneider@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":524275,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70126400,"text":"sir20145172 - 2014 - Groundwater levels in the Denver Basin bedrock aquifers of Douglas County, Colorado, 2011-2013","interactions":[],"lastModifiedDate":"2014-12-02T10:44:54","indexId":"sir20145172","displayToPublicDate":"2014-11-06T09:15:00","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":"2014-5172","title":"Groundwater levels in the Denver Basin bedrock aquifers of Douglas County, Colorado, 2011-2013","docAbstract":"

More than 70 percent of the municipal water supply in the south Denver metropolitan area is provided by groundwater, and homeowners in rural areas depend solely on self-supplied groundwater for water supply. Increased groundwater withdrawal to meet the demand of the rapidly growing population is causing water levels to decline. The U.S. Geological Survey, in cooperation with the Rural Water Authority of Douglas County, began a study in 2011 to assess the groundwater resources of the Denver Basin aquifers within Douglas County, Colorado. The primary purpose of this study was to monitor changes in the groundwater levels of the bedrock aquifers of the Denver Basin within rural Douglas County. To better assess the water resources of the Denver Basin bedrock aquifers, a groundwater monitoring network was established in 2011. More than 500 manual and 213,900 automated water-level measurements collected from the 36 domestic-well network between April 2011 and June 2013 showed water-level declines in all aquifers.

\n

 

\n

Manual and automated (time-series) water-level data collection from these sites between 2011 and 2013 showed water level declines in 36 wells. Over the 2-year monitoring period, average declines of approximately 0.4 foot per year were observed in the upper Dawson aquifer, declines of over 2.6 feet per year were observed in the lower Dawson aquifer, declines of about 3.2 feet per year were observed in the Denver aquifer, declines of about 1.9 feet per year were observed in the Arapahoe aquifer, and declines of about 9.9 feet per year were observed in the Laramie-Fox Hills aquifer.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145172","collaboration":"Prepared in cooperation with the Rural Water Authority of Douglas County","usgsCitation":"Everett, R., 2014, Groundwater levels in the Denver Basin bedrock aquifers of Douglas County, Colorado, 2011-2013: U.S. Geological Survey Scientific Investigations Report 2014-5172, viii, 45 p., https://doi.org/10.3133/sir20145172.","productDescription":"viii, 45 p.","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055778","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":295924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145172.jpg"},{"id":295918,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5172/"},{"id":295919,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5172/pdf/sir2014-5172.pdf"}],"country":"United States","state":"Colorado","county":"Douglas County","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"545c8d9ee4b0ba8303f70385","contributors":{"authors":[{"text":"Everett, Rhett R. 0000-0001-7983-6270 reverett@usgs.gov","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":843,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett R.","email":"reverett@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":524352,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70129339,"text":"sir20145203 - 2014 - Selenium in the upper Blackfoot River watershed, southeastern Idaho, 2001-12","interactions":[],"lastModifiedDate":"2015-08-11T09:02:02","indexId":"sir20145203","displayToPublicDate":"2014-11-06T09:15:00","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":"2014-5203","title":"Selenium in the upper Blackfoot River watershed, southeastern Idaho, 2001-12","docAbstract":"

The upper Blackfoot River in southeastern Idaho receives runoff from 12 large phosphate mines. Waste shales that are removed to access the phosphate ore are highly enriched with selenium, resulting in elevated selenium in runoff from the mine waste dumps. In 2001, in cooperation with the Bureau of Land Management, the U.S. Geological Survey (USGS) began monitoring streamflow, selenium, and other water-quality parameters at a single location near the outlet of the upper Blackfoot River to the Blackfoot Reservoir. Water samples primarily were collected by a flow triggered, automated pump sampler, supplemented by manual point and equal-width integrated manual samples.

\n

 

\n

The approach to monitoring concentrations and streamflow over time at a fixed location is ideal for evaluating temporal trends, but provides no information about the relative source contributions from the mine waste dumps draining into various tributaries. In 2001, the Idaho Department of Environmental Quality (IDEQ) began an annual, mid-May, synoptic survey of selenium concentrations and streamflow at 21 locations along the main stem Blackfoot River and its tributaries. Individually, neither the intensive USGS sampling at the outlet nor the IDEQ annual synoptic sampling provides a comprehensive view of selenium runoff in the Blackfoot River watershed. Together, the efforts are complementary; therefore, in this report, results are presented from both sampling efforts.

\n

 

\n

The USGS collected time-series data from 2001 to 2012 at a fixed location, the Blackfoot River near the outlet of the reservoir, near Henry, Idaho (USGS streamgage 13063000). Dissolved selenium concentrations from 450 filtered samples collected at this site ranged from 0.5 to 11.4 micrograms per liter (μg/L). The State of Idaho chronic aquatic life criterion concentration of 5 μg/L was exceeded in 31 percent of the samples, with most exceedances occurring during May of each year. No exceedances of the selenium criterion were recorded in months other than April, May, or June. Concentrations of selenium in unfiltered and filtered samples were similar, and concentrations from samples collected by depth and width integrated methods were similar to those collected by grab (point) samples, indicating that the grab samples adequately represent selenium concentrations across the entire river cross section. In speciation analyses made during 2003 and 2004, the median percentage of total selenium as selenate was 81 percent, ranging from 17 to 98 percent, and the median percentage of total selenium as selenite was 19 percent, ranging from 2 to 83 percent of the total selenium. During the period of study, selenium concentrations had an upward trend during the lowflow season of August–October. Time trends were not obvious during other seasons. Selenium daily loads varied by more than a factor of 900 during the study period and ranged from 0.03 kilograms per day (kg/d) to more than 24 kg/d. Annual maximum daily loads of selenium varied over nearly a factor of 12, ranging from about 2 to 24 kg/d.

\n

 

\n

For the annual spring synoptic samples collected by the IDEQ along the main stem Blackfoot River and major tributaries, selenium concentrations ranged from less than 2 to 870 μg/L in 176 samples. In most years, the synoptic sampling showed that the majority of the selenium loads passing the USGS streamgage at the outlet of the watershed could be attributed to a single tributary, East Mill Creek, which enters the Blackfoot River through Spring Creek. Selenium loads decreased by about half from East Mill Creek before reaching the Blackfoot River, suggesting that much selenium is at least temporarily removed from the water column by uptake by aquatic vegetation or by losses to sediment. Similar decreases in selenium loads occurred through the main stem Blackfoot River before reaching the outlet in low flow years, but not in high flow years.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145203","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Mebane, C.A., Mladenka, G.C., Van Every, Lynn, Williams, M.L., Hardy, M.A., and Garbarino, J.R., 2014, Selenium in the upper Blackfoot River watershed, southeastern Idaho, 2001–12, with an appendix on selenium speciation analytical methods, by Garbarino, J.R. (ver.1.1, August 2015): U.S. Geological Survey Scientific Investigations Report 2014-5203, 34 p., plus appendixes, https://dx.doi.org/10.3133/sir20145203.","productDescription":"Report: vi, 34 p.; 5 Appendixes","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2001-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-048924","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":295905,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145203.jpg"},{"id":295899,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5203/pdf/sir2014-5203.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2014-5203 report"},{"id":295900,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5203/downloads/sir2014-5203_appendixa.kml","text":"Appendix A","size":"7 KB"},{"id":295901,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5203/downloads/sir2014-5203_appendixb.pdf","text":"Appendix B","size":"280 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":295902,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5203/downloads/sir2014-5203_appendixc.pdf","text":"Appendix C","size":"706 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":295895,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5203/"},{"id":295903,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5203/downloads/sir2014-5203_appendixd.xlsx","text":"Appendix D","size":"321 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":295904,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5203/downloads/sir2014-5203_appendixe.pdf","text":"Appendix E","size":"507 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":306562,"rank":9,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2014/5203/versionHist.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","projection":"Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Idaho","otherGeospatial":"Blackfoot River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.544189453125,\n 42.49842801732158\n ],\n [\n -111.544189453125,\n 42.974511174899156\n ],\n [\n -111.0662841796875,\n 42.974511174899156\n ],\n [\n -111.0662841796875,\n 42.49842801732158\n ],\n [\n -111.544189453125,\n 42.49842801732158\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1: Originally posted November 5, 2014; Version 1.1: August 2015","contact":"

Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
http://id.water.usgs.gov 

","publishedDate":"2014-11-05","revisedDate":"2015-08-10","noUsgsAuthors":false,"publicationDate":"2014-11-05","publicationStatus":"PW","scienceBaseUri":"545c8da2e4b0ba8303f703af","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":524276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mladenka, Greg","contributorId":116680,"corporation":false,"usgs":true,"family":"Mladenka","given":"Greg","affiliations":[],"preferred":false,"id":524277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Every, Lynn","contributorId":127352,"corporation":false,"usgs":false,"family":"Van Every","given":"Lynn","affiliations":[{"id":6912,"text":"Idaho Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":524280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Marshall L. mlwilliams@usgs.gov","contributorId":1444,"corporation":false,"usgs":true,"family":"Williams","given":"Marshall","email":"mlwilliams@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":524278,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hardy, Mark A.","contributorId":50902,"corporation":false,"usgs":true,"family":"Hardy","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":524279,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garbarino, John R. jrgarb@usgs.gov","contributorId":2189,"corporation":false,"usgs":true,"family":"Garbarino","given":"John","email":"jrgarb@usgs.gov","middleInitial":"R.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":524281,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70156257,"text":"70156257 - 2014 - Using ecological indicators and a decision support system for integrated ecological assessment at two national park units in the Mid-Atlantic region, U.S.A.","interactions":[],"lastModifiedDate":"2022-11-10T16:32:18.700862","indexId":"70156257","displayToPublicDate":"2014-11-05T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Using ecological indicators and a decision support system for integrated ecological assessment at two national park units in the Mid-Atlantic region, U.S.A.","docAbstract":"

We implemented an integrated ecological assessment using a GIS-based decision support system model for Upper Delaware Scenic and Recreational River (UPDE) and Delaware Water Gap National Recreation Area (DEWA)—national park units with the mid-Atlantic region of the United States. Our assessment examined a variety of aquatic and terrestrial indicators of ecosystem components that reflect the parks’ conservation purpose and reference condition. Our assessment compared these indicators to ecological thresholds to determine the condition of park watersheds. Selected indicators included chemical and physical measures of water quality, biologic indicators of water quality, and landscape condition measures. For the chemical and physical measures of water quality, we used a water quality index and each of its nine components to assess the condition of water quality in each watershed. For biologic measures of water quality, we used the Ephemeroptera, Plecoptera, Trichoptera aquatic macroinvertebrate index and, secondarily, the Hilsenhoff aquatic macroinvertebrate index. Finally, for the landscape condition measures of our model, we used percent forest and percent impervious surface. Based on our overall assessment, UPDE and DEWA watersheds had an ecological assessment score of 0.433 on a −1 to 1 fuzzy logic scale. This score indicates that, in general, the natural resource condition within watersheds at these parks is healthy or ecologically unimpaired; however, we had only partial data for many of our indicators. Our model is iterative and new data may be incorporated as they become available. These natural parks are located within a rapidly urbanizing landscape—we recommend that natural resource managers remain vigilant to surrounding land uses that may adversely affect natural resources within the parks.

","language":"English","publisher":"Springer","doi":"10.1007/s00267-014-0391-y","usgsCitation":"Mahan, C.G., Young, J.A., Miller, B., and Saunders, M.C., 2014, Using ecological indicators and a decision support system for integrated ecological assessment at two national park units in the Mid-Atlantic region, U.S.A.: Environmental Management, v. 55, no. 2, p. 508-522, https://doi.org/10.1007/s00267-014-0391-y.","productDescription":"14 p.","startPage":"508","endPage":"522","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061210","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":472651,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-014-0391-y","text":"Publisher Index Page"},{"id":306857,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, New York, Pennsylvania","otherGeospatial":"Delaware Water Gap National Recreation Area, Upper Delaware Scenic and Recreational River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.16363259831336,\n 41.00157864774306\n ],\n [\n -75.18360089268816,\n 40.93121492169374\n ],\n [\n -75.10372771518792,\n 40.93456727654237\n ],\n [\n -75.10150901581329,\n 40.96305542448701\n ],\n [\n -74.91957566706338,\n 41.065176406050654\n ],\n [\n -74.7931098026881,\n 41.170479402035426\n ],\n [\n -74.81085939768826,\n 41.20220428653266\n ],\n [\n -74.77314150831329,\n 41.26560793794221\n ],\n [\n -74.7687041095635,\n 41.2906187651337\n ],\n [\n -74.65333174206344,\n 41.342277434101675\n ],\n [\n -74.69548703018819,\n 41.37225400060595\n ],\n [\n -74.79089110331344,\n 41.33894585228984\n ],\n [\n -74.8618894833131,\n 41.31228706249345\n ],\n [\n -74.90626347081299,\n 41.25726886581319\n ],\n [\n -74.90404477143836,\n 41.21388852711442\n ],\n [\n -74.93066916393812,\n 41.17214951599155\n ],\n [\n -74.96838705331307,\n 41.15210533865738\n ],\n [\n -75.03051063581313,\n 41.105311752732376\n ],\n [\n -75.05935372768802,\n 41.056811790208826\n ],\n [\n -75.16363259831336,\n 41.00157864774306\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.31006585769143,\n 41.939183002612225\n ],\n [\n -75.28566016456683,\n 41.8384297630042\n ],\n [\n -75.19469349019188,\n 41.84173566734978\n ],\n [\n -75.12591380956687,\n 41.80205354376042\n ],\n [\n -75.12813250894152,\n 41.762346830362134\n ],\n [\n -75.09485201831683,\n 41.74413970315629\n ],\n [\n -75.08597722081676,\n 41.63976304239466\n ],\n [\n -75.10594551519156,\n 41.60659218093528\n ],\n [\n -75.03494713519191,\n 41.51694563301149\n ],\n [\n -74.99279184706664,\n 41.453786486136295\n ],\n [\n -74.93954306206668,\n 41.450460615191105\n ],\n [\n -74.921793467067,\n 41.42717474429995\n ],\n [\n -74.75317231456697,\n 41.39722349174036\n ],\n [\n -74.74207881769173,\n 41.3839073914761\n ],\n [\n -74.69770483019184,\n 41.39722349174036\n ],\n [\n -74.71545442519201,\n 41.442145191832054\n ],\n [\n -74.8042024001918,\n 41.46043771647152\n ],\n [\n -74.86410728331671,\n 41.46708826471874\n ],\n [\n -74.92401216644163,\n 41.51030020105466\n ],\n [\n -74.95507395769167,\n 41.513623002313324\n ],\n [\n -75.0194162395669,\n 41.60493318994418\n ],\n [\n -75.02163493894153,\n 41.772275813796995\n ],\n [\n -75.04604063206665,\n 41.82520443777676\n ],\n [\n -75.15919430019153,\n 41.89790990874036\n ],\n [\n -75.23019268019168,\n 41.89790990874036\n ],\n [\n -75.25681707269143,\n 41.9655837730665\n ],\n [\n -75.31006585769143,\n 41.939183002612225\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"55","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-05","publicationStatus":"PW","scienceBaseUri":"55d45736e4b0518e35469508","contributors":{"authors":[{"text":"Mahan, Carolyn G.","contributorId":146582,"corporation":false,"usgs":false,"family":"Mahan","given":"Carolyn","email":"","middleInitial":"G.","affiliations":[{"id":12754,"text":"Penn State University Altoona","active":true,"usgs":false}],"preferred":false,"id":568352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":568351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Bruce","contributorId":146583,"corporation":false,"usgs":false,"family":"Miller","given":"Bruce","email":"","affiliations":[{"id":6945,"text":"private 3721 2nd Avenue, Salt Lake City","active":true,"usgs":false}],"preferred":false,"id":568353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saunders, Michael C.","contributorId":146584,"corporation":false,"usgs":false,"family":"Saunders","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":16724,"text":"Penn Sate University","active":true,"usgs":false}],"preferred":false,"id":568354,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70132480,"text":"ofr20141230 - 2014 - Short-term occupancy and abundance dynamics of the Oregon spotted frog (Rana pretiosa) across its core range","interactions":[],"lastModifiedDate":"2017-11-22T14:21:32","indexId":"ofr20141230","displayToPublicDate":"2014-11-04T16:00:00","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":"2014-1230","displayTitle":"Short-term occupancy and abundance dynamics of the Oregon spotted frog (Rana pretiosa) across its core range","title":"Short-term occupancy and abundance dynamics of the Oregon spotted frog (Rana pretiosa) across its core range","docAbstract":"

The Oregon spotted frog (Rana pretiosa) occupies only a fraction of its original range and is listed as Threatened under the Endangered Species Act. We surveyed 93 sites in a rotating frame design (2010–13) in the Klamath and Deschutes Basins, Oregon, which encompass most of the species’ core extant range. Oregon spotted frogs are declining in abundance and probability of site occupancy. We did not find an association between the probability that Oregon spotted frogs disappear from a site (local extinction) and any of the variables hypothesized to affect Oregon spotted frog occupancy. This 4-year study provides baseline data, but the 4-year period was too short to draw firm conclusions. Further study is essential to understand how habitat changes and management practices relate to the status and trends of this species.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141230","collaboration":"Prepared in cooperation with the Interagency Special Status / Sensitive Species Program (ISSSSP). The ISSSSP is a cooperative program of the Pacific Northwest Regional Office of the U.S. Forest Service and Oregon/Washington State Office of the Bureau of Land Management","usgsCitation":"Adams, M.J., Pearl, C.A., McCreary, B., and Galvan, S., 2014, Short-term occupancy and abundance dynamics of the Oregon spotted frog (Rana pretiosa) across its core range: U.S. Geological Survey Open-File Report 2014-1230, iv, 10 p., https://doi.org/10.3133/ofr20141230.","productDescription":"iv, 10 p.","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059622","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":295887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141230.jpg"},{"id":295880,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1230/"},{"id":295886,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1230/pdf/ofr2014-1230.pdf"}],"country":"United States","state":"Oregon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa3e4b009f8aec9700e","contributors":{"authors":[{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":523280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearl, Christopher A. 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":3131,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":523281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCreary, Brome 0000-0002-0313-7796 brome_mccreary@usgs.gov","orcid":"https://orcid.org/0000-0002-0313-7796","contributorId":3130,"corporation":false,"usgs":true,"family":"McCreary","given":"Brome","email":"brome_mccreary@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":523282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Galvan, Stephanie 0000-0002-9864-3674 stephanie_galvan@usgs.gov","orcid":"https://orcid.org/0000-0002-9864-3674","contributorId":3135,"corporation":false,"usgs":true,"family":"Galvan","given":"Stephanie","email":"stephanie_galvan@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":523283,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70074082,"text":"sir20105090P - 2014 - Porphyry copper assessment of East and Southeast Asia: Philippines, Taiwan (Republic of China), Republic of Korea (South Korea), and Japan","interactions":[{"subject":{"id":70074082,"text":"sir20105090P - 2014 - Porphyry copper assessment of East and Southeast Asia: Philippines, Taiwan (Republic of China), Republic of Korea (South Korea), and Japan","indexId":"sir20105090P","publicationYear":"2014","noYear":false,"chapter":"P","title":"Porphyry copper assessment of East and Southeast Asia: Philippines, Taiwan (Republic of China), Republic of Korea (South Korea), and Japan"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2020-07-01T19:22:00.184549","indexId":"sir20105090P","displayToPublicDate":"2014-11-04T14:30:00","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":"2010-5090","chapter":"P","title":"Porphyry copper assessment of East and Southeast Asia: Philippines, Taiwan (Republic of China), Republic of Korea (South Korea), and Japan","docAbstract":"

The U.S. Geological Survey collaborated with member countries of the Coordinating Committee for Geoscience Programmes in East and Southeast Asia (CCOP) on an assessment of the porphyry copper resources of East and Southeast Asia as part of a global mineral resource assessment. The assessment covers the Philippines in Southeast Asia, and the Republic of Korea (South Korea), Taiwan (Province of China), and Japan in East Asia. The Philippines host world class porphyry copper deposits, such as the Tampakan and Atlas deposits. No porphyry copper deposits have been discovered in the Republic of Korea (South Korea), Taiwan (Province of China), or Japan.

\n

Thirteen geographic areas were delineated as tracts that are permissive for porphyry copper deposits in the assessed area. Individual tracts range from about 3,000 to 100,000 square kilometers in area. Permissive tracts are delineated on the basis of mapped distributions of igneous rocks of specific age ranges that define subduction-related magmatic arcs or magmatic belts that might contain porphyry copper deposits. Most of these magmatic arcs are subduction related, although some porphyry deposits and prospects are present in back-arc or poorly understood tectonic settings. Maps at various scales were used in the compilation; however, the final tract boundaries are intended for use at a scale of 1:1,000,000.

\n

Numbers of undiscovered deposits were estimated at different levels of confidence for 10 permissive tracts in the Philippines including one area that extends to eastern Taiwan (Republic of China); permissive tracts in South Korea and Japan are discussed qualitatively. Estimates of numbers of undiscovered deposits were combined with grade and tonnage models using Monte Carlo simulation to estimate amounts of undiscovered resources. Grades and tonnages of known porphyry copper deposits in the study area were compared with global grade and tonnage models to determine the appropriate model for simulation of undiscovered resources. Most of the known deposits are best described as copper-gold subtypes of porphyry copper deposits. For some permissive tracts, a general porphyry copper-gold-molybdenum model was used.

\n

Thirty-eight porphyry copper deposits are known in the Philippines; the mean number of undiscovered deposits was estimated to be 28. Mean (arithmetic) resources that could be associated with the undiscovered deposits are 90 million metric tons of copper and 5,800 metric tons of gold, as well as byproduct molybdenum and silver. Additional resources that could be discovered in extensions to known deposits were not evaluated. Assessment results, presented in tables and graphs, indicate expected amounts of total contained metal and mineralized rock in undiscovered deposits at different quantile levels, as well as the arithmetic mean for each tract.

\n

The Philippines have a long history of porphyry exploration cycles and mine development, interrupted at times by political and social unrest, environmental concerns, and natural disasters. Changes in mining laws within the region and the recent high price of gold on the world market have prompted renewed interest in porphyry copper deposits in the region. South Korea and Japan have been thoroughly explored for many types of mineral deposits. Available data suggest that the permissive rocks in South Korea typically are too deeply eroded to preserve porphyry copper deposits. Porphyry copper systems may be present in Japan, but are likely to lie at depths greater than the 1 kilometer from the surface protocol adopted for this study.

\n

Descriptions of the geologic basis for delineating each tract, the data used, the geologic criteria and rationale for the assessment, and results of the assessment are included in appendixes along with the description of a geographic information system (GIS) that includes tract boundaries, known porphyry copper deposits and significant prospects, and assessment results.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090P","collaboration":"Prepared in cooperation with the Coordinating Committee for Geoscience Programmes in East and Southeast Asia.","usgsCitation":"Hammarstrom, J.M., Bookstrom, A.A., Demarr, M.W., Dicken, C., Ludington, S., Robinson, G.R., and Zientek, M.L., 2014, Porphyry copper assessment of East and Southeast Asia: Philippines, Taiwan (Republic of China), Republic of Korea (South Korea), and Japan: U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: xiii, 243 p.; Tabloid Figures; GIS Package, https://doi.org/10.3133/sir20105090P.","productDescription":"Report: xiii, 243 p.; Tabloid Figures; GIS Package","numberOfPages":"262","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-039384","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":295885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105090P.jpg"},{"id":295884,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2010/5090/p/GIS_SIR2010-5090-P.zip","text":"GIS Package","size":"36.9 MB"},{"id":295881,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5090/p/"},{"id":295883,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2010/5090/p/pdf/Tabloid%20Figures.pdf","text":"Tabloid Figures","size":"21 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":295882,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/p/pdf/sir2010-5090-P.pdf","size":"25.7 MB","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Asia North Albers Equal Area Conic projection","country":"China, Japan, Philippines, South Korea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 140.86669921875,\n 45.69083283645816\n ],\n [\n 142.40478515625,\n 45.49094569262732\n ],\n [\n 146.57958984375,\n 44.5435052132082\n ],\n [\n 147.19482421875,\n 43.78695837311561\n ],\n [\n 143.32763671875,\n 41.72213058512578\n ],\n [\n 141.591796875,\n 41.47566020027821\n ],\n [\n 142.2509765625,\n 39.436192999314066\n ],\n [\n 141.064453125,\n 35.67514743608467\n ],\n [\n 139.954833984375,\n 32.40779154205701\n ],\n [\n 135.791015625,\n 33.33970700424026\n ],\n [\n 132.8466796875,\n 32.54681317351514\n ],\n [\n 131.68212890625,\n 31.541089879585808\n ],\n [\n 131.1767578125,\n 30.221101852485987\n ],\n [\n 128.056640625,\n 25.878994400196202\n ],\n [\n 123.8818359375,\n 23.765236889758672\n ],\n [\n 121.6845703125,\n 22.268764039073968\n ],\n [\n 122.6953125,\n 17.14079039331665\n ],\n [\n 122.32177734375,\n 16.151368535968885\n ],\n [\n 123.0908203125,\n 14.647368383896632\n ],\n [\n 124.34326171874999,\n 14.26438308756265\n ],\n [\n 125.88134765625,\n 12.060809058367294\n ],\n [\n 126.87011718749999,\n 7.406047717076271\n ],\n [\n 126.27685546874999,\n 6.0094592380595495\n ],\n [\n 125.48583984375,\n 5.200364681183489\n ],\n [\n 124.25537109375,\n 5.878332109674327\n ],\n [\n 122.3876953125,\n 6.249776453227831\n ],\n [\n 119.61914062499999,\n 4.368320420876243\n ],\n [\n 119.0478515625,\n 4.477856485570586\n ],\n [\n 119.42138671875,\n 5.266007882805498\n ],\n [\n 117.31201171875001,\n 7.689217127736191\n ],\n [\n 116.806640625,\n 7.754537346539386\n ],\n [\n 116.8505859375,\n 8.276727101164047\n ],\n [\n 119.46533203125,\n 11.609193407938953\n ],\n [\n 119.83886718750001,\n 13.923403897723347\n ],\n [\n 119.5751953125,\n 16.277960306212524\n ],\n [\n 120.47607421874999,\n 18.729501999072138\n ],\n [\n 119.17968749999999,\n 23.241346102386135\n ],\n [\n 119.39941406249999,\n 23.82555130688476\n ],\n [\n 120.62988281249999,\n 25.20494115356912\n ],\n [\n 121.61865234375,\n 25.48295117535531\n ],\n [\n 122.14599609375001,\n 25.145284610685064\n ],\n [\n 124.16748046874999,\n 24.766784522874453\n ],\n [\n 126.62841796875,\n 26.70635985763354\n ],\n [\n 129.26513671875,\n 29.859701442126756\n ],\n [\n 129.462890625,\n 31.80289258670676\n ],\n [\n 128.408203125,\n 32.54681317351514\n ],\n [\n 125.96923828125,\n 33.119150226768866\n ],\n [\n 124.82666015624999,\n 33.925129700072\n ],\n [\n 124.892578125,\n 34.831841149828655\n ],\n [\n 125.83740234374999,\n 35.55010533588552\n ],\n [\n 125.70556640625,\n 37.56199695314352\n ],\n [\n 126.65039062499999,\n 37.83148014503288\n ],\n [\n 126.968994140625,\n 38.24680876017446\n ],\n [\n 127.232666015625,\n 38.315801006824984\n ],\n [\n 128.02368164062497,\n 38.34165619279593\n ],\n [\n 128.29833984375,\n 38.47939467327645\n ],\n [\n 128.353271484375,\n 38.62545397209084\n ],\n [\n 131.06689453125,\n 37.68382032669382\n ],\n [\n 133.57177734375,\n 36.36822190085111\n ],\n [\n 135.186767578125,\n 35.871246850027966\n ],\n [\n 136.571044921875,\n 37.42252593456307\n ],\n [\n 138.36181640624997,\n 38.53097889440024\n ],\n [\n 139.46044921875,\n 39.977120098439634\n ],\n [\n 139.46044921875,\n 40.713955826286046\n ],\n [\n 139.04296875,\n 42.147114459220994\n ],\n [\n 140.29541015624997,\n 43.51668853502906\n ],\n [\n 140.9765625,\n 43.6599240747891\n ],\n [\n 140.73486328125,\n 45.36758436884978\n ],\n [\n 140.86669921875,\n 45.69083283645816\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa2e4b009f8aec97008","contributors":{"authors":[{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":523284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bookstrom, Arthur A. 0000-0003-1336-3364 abookstrom@usgs.gov","orcid":"https://orcid.org/0000-0003-1336-3364","contributorId":1542,"corporation":false,"usgs":true,"family":"Bookstrom","given":"Arthur","email":"abookstrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":523285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Demarr, Michael W.","contributorId":127350,"corporation":false,"usgs":false,"family":"Demarr","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6785,"text":"USGS Contractor, Minerals & Environmental Resources Sci Ctr","active":true,"usgs":false}],"preferred":false,"id":523286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dicken, Connie L. cdicken@usgs.gov","contributorId":4714,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie L.","email":"cdicken@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":523287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ludington, Stephen slud@usgs.gov","contributorId":3093,"corporation":false,"usgs":true,"family":"Ludington","given":"Stephen","email":"slud@usgs.gov","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":523288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, Gilpin R. Jr. grobinso@usgs.gov","contributorId":3083,"corporation":false,"usgs":true,"family":"Robinson","given":"Gilpin","suffix":"Jr.","email":"grobinso@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":523289,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":523290,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70122982,"text":"ds852 - 2014 - Digital topographic data based on lidar survey of Mount Shasta Volcano, California, July-September 2010","interactions":[],"lastModifiedDate":"2019-03-15T10:15:30","indexId":"ds852","displayToPublicDate":"2014-11-04T13:30:00","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":"852","title":"Digital topographic data based on lidar survey of Mount Shasta Volcano, California, July-September 2010","docAbstract":"

The most voluminous of the Cascade volcanoes, northern California’s Mount Shasta, is a massive compound stratovolcano composed of at least four main edifices constructed over a period of at least 590,000 years. An ancestral Shasta volcano was destroyed by Earth’s largest known Quaternary subaerial debris avalanche, which filled Shasta Valley, northwest of the volcano. The Hotlum cone, forming the present summit, the Shastina lava dome complex, and the Black Butte lava dome on the southwest flank, were constructed during the early Holocene.

As part of the American Recovery and Reinvestment Act (ARRA) of 2009, the U.S. Geological Survey was awarded funding for high-precision airborne lidar (light detection and ranging) data collection at several volcanoes in the Cascade Range. Data collection was arranged by the Oregon Lidar Consortium, administered by the Oregon Department of Geology and Mineral Industries (DOGAMI). The Oregon Lidar Consortium contracted with Watershed Sciences, Inc., to collect 1,220 square km of high-precision airborne lidar data. These data provide a digital map of the ground surface beneath forest cover with horizontal resolution of 1 m (average of 1.82 ground laser returns per square meter) and estimated vertical accuracy of ±4 centimeters (1 sigma), and horizontal accuracies of ±1.5 centimeters. These data will contribute to monitoring and description of natural hazards, the study of regional geology and volcanic landforms, and analysis of landscape modification during and after the next volcanic eruption at Mount Shasta.

Survey Bounding Coordinates:

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds852","usgsCitation":"Robinson, J., 2014, Digital topographic data based on lidar survey of Mount Shasta Volcano, California, July-September 2010: U.S. Geological Survey Data Series 852, Elevation Data; Metadata; Shaded Relief Maps; Mt Shasta Delivery Report; Mt Shasta Acceptance Report, https://doi.org/10.3133/ds852.","productDescription":"Elevation Data; Metadata; Shaded Relief Maps; Mt Shasta Delivery Report; Mt Shasta Acceptance Report","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-07-01","temporalEnd":"2010-09-30","ipdsId":"IP-049301","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":295872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds852.JPG"},{"id":295867,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0852/downloads/ds852_lidar.zip","text":"Elevation Data","size":"3.2 GB"},{"id":295868,"rank":2,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/0852/downloads/ds852_metadata.txt","size":"14 kB","linkFileType":{"id":2,"text":"txt"}},{"id":295869,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0852/downloads/TiffFiles/","text":"Shaded Relief Maps"},{"id":295820,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0852/"},{"id":295870,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0852/downloads/ds852_MtShastaDeliveryReport.pdf","text":"Mt Shasta Delivery Report","size":"5.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":295871,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0852/downloads/ds852_MtShastaAcceptanceReport.pdf","text":"Mt Shasta Acceptance Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Mount Shasta Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.40,\n 41\n ],\n [\n -121.92626953124999,\n 41\n ],\n [\n -121.92626953124999,\n 41.5\n ],\n [\n -122.40,\n 41.5\n ],\n [\n -122.40,\n 41\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459ea9fe4b009f8aec96fbd","contributors":{"authors":[{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":522916,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70131501,"text":"70131501 - 2014 - Whitebark pine, population density, and home-range size of grizzly bears in the greater Yellowstone ecosystem","interactions":[],"lastModifiedDate":"2018-03-17T17:13:33","indexId":"70131501","displayToPublicDate":"2014-11-04T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Whitebark pine, population density, and home-range size of grizzly bears in the greater Yellowstone ecosystem","docAbstract":"

Changes in life history traits of species can be an important indicator of potential factors influencing populations. For grizzly bears (Ursus arctos) in the Greater Yellowstone Ecosystem (GYE), recent decline of whitebark pine (WBP; Pinus albicaulis), an important fall food resource, has been paired with a slowing of population growth following two decades of robust population increase. These observations have raised questions whether resource decline or density-dependent processes may be associated with changes in population growth. Distinguishing these effects based on changes in demographic rates can be difficult. However, unlike the parallel demographic responses expected from both decreasing food availability and increasing population density, we hypothesized opposing behavioral responses of grizzly bears with regard to changes in home-range size. We used the dynamic changes in food resources and population density of grizzly bears as a natural experiment to examine hypotheses regarding these potentially competing influences on grizzly bear home-range size. We found that home-range size did not increase during the period of whitebark pine decline and was not related to proportion of whitebark pine in home ranges. However, female home-range size was negatively associated with an index of population density. Our data indicate that home-range size of grizzly bears in the GYE is not associated with availability of WBP, and, for female grizzly bears, increasing population density may constrain home-range size.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0088160","collaboration":"US Fish and Wildlife Service","usgsCitation":"Bjornlie, D., van Manen, F.T., Ebinger, M.R., Haroldson, M.A., Thompson, D.J., and Costello, C., 2014, Whitebark pine, population density, and home-range size of grizzly bears in the greater Yellowstone ecosystem: PLoS ONE, v. 9, no. 2, p. 1-7, https://doi.org/10.1371/journal.pone.0088160.","productDescription":"Article e88160; 7 p.","startPage":"1","endPage":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053114","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":472652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0088160","text":"Publisher Index Page"},{"id":295865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-10","publicationStatus":"PW","scienceBaseUri":"5459eaa5e4b009f8aec97040","contributors":{"authors":[{"text":"Bjornlie, Daniel D.","contributorId":145512,"corporation":false,"usgs":false,"family":"Bjornlie","given":"Daniel D.","affiliations":[{"id":16140,"text":"Wyoming Game & Fish Department, Large Carnivore Section, Lander, Wyoming 82520, USA","active":true,"usgs":false}],"preferred":false,"id":521328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebinger, Michael R. mebinger@usgs.gov","contributorId":5771,"corporation":false,"usgs":true,"family":"Ebinger","given":"Michael","email":"mebinger@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Daniel J.","contributorId":149795,"corporation":false,"usgs":false,"family":"Thompson","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":5116,"text":"Large Carnivore Section, Wyoming Game & Fish Department, 260 Buena Vista, Lander, WY 82520, USA","active":true,"usgs":false}],"preferred":false,"id":521331,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Costello, Cecily M.","contributorId":145510,"corporation":false,"usgs":false,"family":"Costello","given":"Cecily M.","affiliations":[{"id":5117,"text":"University of Montana, College of Forestry and Conservation, University Hall, Room 309, Missoula, MT 59812, USA","active":true,"usgs":false}],"preferred":false,"id":521332,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70127432,"text":"ds884 - 2014 - Water quality, discharge, and groundwater levels in the Palomas, Mesilla, and Hueco Basins in New Mexico and Texas from below Caballo Reservoir, New Mexico, to Fort Quitman, Texas, 1889-2013","interactions":[],"lastModifiedDate":"2014-11-04T13:08:23","indexId":"ds884","displayToPublicDate":"2014-11-04T13:00:00","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":"884","title":"Water quality, discharge, and groundwater levels in the Palomas, Mesilla, and Hueco Basins in New Mexico and Texas from below Caballo Reservoir, New Mexico, to Fort Quitman, Texas, 1889-2013","docAbstract":"

The U.S. Geological Survey, in cooperation with the New Mexico Environment Department, compiled data from various sources to develop a dataset that can be used to conduct an assessment of the total dissolved solids in surface water and groundwater of the Palomas, Mesilla, and Hueco Basins in New Mexico and Texas, from below Caballo Reservoir, N. Mex., to Fort Quitman, Tex. Data include continuous surface-water discharge records at various locations on the Rio Grande; surface-water-quality data for the Rio Grande collected at selected locations in the Palomas, Mesilla, and Hueco Basins; groundwater levels and groundwater-quality data collected from selected wells in the Palomas and Mesilla Basins; and data from several seepage investigations conducted on the Rio Grande and selected drains in the Mesilla Basin.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds884","collaboration":"Prepared in cooperation with the New Mexico Environment Department","usgsCitation":"McKean, S., Matherne, A.M., and Thomas, N., 2014, Water quality, discharge, and groundwater levels in the Palomas, Mesilla, and Hueco Basins in New Mexico and Texas from below Caballo Reservoir, New Mexico, to Fort Quitman, Texas, 1889-2013: U.S. Geological Survey Data Series 884, Report: HTML Document; Downloads Directory, https://doi.org/10.3133/ds884.","productDescription":"Report: HTML Document; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1889-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-057294","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":295866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds884.png"},{"id":295851,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0884/"},{"id":295864,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0884/downloads/","text":"Downloads Directory"}],"projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"New Mexico, Texas","otherGeospatial":"Hueco Basin, Mesilla Basin, Palomas Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa4e4b009f8aec97025","contributors":{"authors":[{"text":"McKean, Sarah E.","contributorId":71894,"corporation":false,"usgs":true,"family":"McKean","given":"Sarah E.","affiliations":[],"preferred":false,"id":523263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":523264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Nicole nithomas@usgs.gov","contributorId":5649,"corporation":false,"usgs":true,"family":"Thomas","given":"Nicole","email":"nithomas@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":523265,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70125639,"text":"ds885 - 2014 - EAARL-B submerged topography: Barnegat Bay, New Jersey, pre-Hurricane Sandy, 2012","interactions":[],"lastModifiedDate":"2014-11-06T10:09:12","indexId":"ds885","displayToPublicDate":"2014-11-04T12:45:00","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":"885","title":"EAARL-B submerged topography: Barnegat Bay, New Jersey, pre-Hurricane Sandy, 2012","docAbstract":"

These remotely sensed, geographically referenced elevation measurements of lidar-derived submerged topography datasets were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.

\n

 

\n

This project provides highly detailed and accurate datasets for part of Barnegat Bay, New Jersey, acquired pre-Hurricane Sandy on October 18, 22, 23, and 26, 2012. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar, known as the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B), was used during data acquisition. The EAARL-B system is a raster-scanning, waveform-resolving, green-wavelength (532-nm) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL-B sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, down-looking red-green-blue (RGB) and infrared (IR) digital cameras, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL-B platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.

\n

 

\n

Elevation measurements were collected over the survey area using the EAARL-B system. The resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed originally in a NASA-USGS collaboration. The exploration and processing of lidar data in an interactive or batch mode is supported using ALPS. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. The Airborne Lidar Processing System (ALPS) is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the \"bare earth\" under vegetation from a point cloud of last return elevations.

\n

 

\n

For more information about similar projects, please visit the Lidar for Science and Resource Management Web site.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds885","usgsCitation":"Wright, C.W., Troche, R.J., Klipp, E.S., Kranenburg, C., Fredericks, X., and Nagle, D.B., 2014, EAARL-B submerged topography: Barnegat Bay, New Jersey, pre-Hurricane Sandy, 2012: U.S. Geological Survey Data Series 885, Web Page, https://doi.org/10.3133/ds885.","productDescription":"Web Page","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-054940","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":295861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":295859,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0885/"},{"id":295860,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0885/home.html"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f032e4b0bc0bec09f5fe","contributors":{"authors":[{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":2973,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Troche, Rodolfo J. rtroche@usgs.gov","contributorId":4304,"corporation":false,"usgs":true,"family":"Troche","given":"Rodolfo","email":"rtroche@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kranenburg, Christine J. ckranenburg@usgs.gov","contributorId":3924,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine J.","email":"ckranenburg@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fredericks, Xan 0000-0001-7186-6555 afredericks@usgs.gov","orcid":"https://orcid.org/0000-0001-7186-6555","contributorId":2972,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","email":"afredericks@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagle, David B. 0000-0002-2306-6147 dnagle@usgs.gov","orcid":"https://orcid.org/0000-0002-2306-6147","contributorId":3380,"corporation":false,"usgs":true,"family":"Nagle","given":"David","email":"dnagle@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519515,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70128981,"text":"ds888 - 2014 - EAARL-B coastal topography: Fire Island, New York, pre-Hurricane Sandy, 2012: seamless (bare earth and submerged)","interactions":[],"lastModifiedDate":"2014-11-06T10:54:55","indexId":"ds888","displayToPublicDate":"2014-11-04T12:15:00","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":"888","title":"EAARL-B coastal topography: Fire Island, New York, pre-Hurricane Sandy, 2012: seamless (bare earth and submerged)","docAbstract":"

These remotely sensed, geographically referenced elevation measurements of lidar-derived seamless (bare-earth and submerged) topography datasets were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.

\n

 

\n

This project provides highly detailed and accurate datasets for part of Fire Island, New York, acquired pre-Hurricane Sandy on October 27, 2012. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar, known as the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B), was used during data acquisition. The EAARL-B system is a raster-scanning, waveform-resolving, green-wavelength (532-nm) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL-B sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, down-looking red-green-blue (RGB) and infrared (IR) digital cameras, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL-B platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.

\n

 

\n

Elevation measurements were collected over the survey area using the EAARL-B system. The resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed originally in a NASA-USGS collaboration. The exploration and processing of lidar data in an interactive or batch mode is supported using ALPS. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. The Airborne Lidar Processing System (ALPS) is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the \"bare earth\" under vegetation from a point cloud of last return elevations.

\n

 

\n

For more information about similar projects, please visit the Lidar for Science and Resource Management Web site.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds888","usgsCitation":"Wright, C.W., Kranenburg, C., Klipp, E.S., Troche, R.J., Fredericks, X., Masessa, M.L., and Nagle, D.B., 2014, EAARL-B coastal topography: Fire Island, New York, pre-Hurricane Sandy, 2012: seamless (bare earth and submerged): U.S. Geological Survey Data Series 888, HTML Document, https://doi.org/10.3133/ds888.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056095","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":295858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":295857,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0888/html/home.html"},{"id":295856,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0888/"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f032e4b0bc0bec09f600","contributors":{"authors":[{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":2973,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kranenburg, Christine J. ckranenburg@usgs.gov","contributorId":3924,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine J.","email":"ckranenburg@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Troche, Rodolfo J. rtroche@usgs.gov","contributorId":4304,"corporation":false,"usgs":true,"family":"Troche","given":"Rodolfo","email":"rtroche@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fredericks, Xan 0000-0001-7186-6555 afredericks@usgs.gov","orcid":"https://orcid.org/0000-0001-7186-6555","contributorId":2972,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","email":"afredericks@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Masessa, Melanie L. mmasessa@usgs.gov","contributorId":5903,"corporation":false,"usgs":true,"family":"Masessa","given":"Melanie","email":"mmasessa@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagle, David B. 0000-0002-2306-6147 dnagle@usgs.gov","orcid":"https://orcid.org/0000-0002-2306-6147","contributorId":3380,"corporation":false,"usgs":true,"family":"Nagle","given":"David","email":"dnagle@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519777,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70131498,"text":"70131498 - 2014 - Diet of Mysis diluviana reveals seasonal patterns of omnivory and consumption of invasive species in offshore Lake Michigan","interactions":[],"lastModifiedDate":"2014-11-11T09:07:39","indexId":"70131498","displayToPublicDate":"2014-11-04T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2430,"text":"Journal of Plankton Research","active":true,"publicationSubtype":{"id":10}},"title":"Diet of Mysis diluviana reveals seasonal patterns of omnivory and consumption of invasive species in offshore Lake Michigan","docAbstract":"

Recent changes in Lake Michigan’s lower trophic levels were hypothesized to have influenced the diet of omnivorous Mysis diluviana. In this study, the stomach contents of Mysis were examined from juvenile and adults collected monthly (April–October) from a 110-m bottom depth site to describe their seasonal diet in LakeMichigan during 2010. Diatoms were the most common prey item ingested, followed by calanoid copepods, and chrysophytes. Dreissenid veligers were documented in mysid diets for the first time in the Great Lakes, and Cercopagis pengoi were not only consumed but even preferred by adults in summer. Diet proportions by weight were dominated by calanoids, although diets showed a marked shift toward cladocerans in autumn. Juvenile and adult Mysis selected primarily for cladoceran prey but also selected for some calanoid copepod taxa. Comparing available Mysis diet data from 1985 to 2010 indicated generally fewer cladocerans and rotifers per gut and less consistent differences in copepods and Peridinium consumed. The seasonal composition of phyto- and zooplankton prey documented herein should be useful to those seeking to understand the trophic role of Mysis in offshore food webs, but caution should be expressed when generalizing similarities in Mysis diets across other lakes because Lake Michigan’s population seems relatively more herbivorous.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Plankton Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oxford University Press","publisherLocation":"Oxford, England","doi":"10.1093/plankt/fbu038","usgsCitation":"O’Malley, B.P., and Bunnell, D., 2014, Diet of Mysis diluviana reveals seasonal patterns of omnivory and consumption of invasive species in offshore Lake Michigan: Journal of Plankton Research, v. 36, no. 4, p. 989-1002, https://doi.org/10.1093/plankt/fbu038.","productDescription":"14 p.","startPage":"989","endPage":"1002","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053800","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/plankt/fbu038","text":"Publisher Index Page"},{"id":295854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295978,"type":{"id":15,"text":"Index Page"},"url":"https://plankt.oxfordjournals.org/content/36/4/989.abstract"}],"country":"United States","otherGeospatial":"Lake Michigan","volume":"36","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-05-16","publicationStatus":"PW","scienceBaseUri":"5459ea9fe4b009f8aec96fb4","contributors":{"authors":[{"text":"O’Malley, Brian P. bomalley@usgs.gov","contributorId":5615,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":521313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":521312,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70131492,"text":"70131492 - 2014 - Limitations to estimating bacterial cross-speciestransmission using genetic and genomic markers: Inferences from simulation modeling","interactions":[],"lastModifiedDate":"2020-12-29T12:52:06.935036","indexId":"70131492","displayToPublicDate":"2014-11-04T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Limitations to estimating bacterial cross-speciestransmission using genetic and genomic markers: Inferences from simulation modeling","docAbstract":"

Cross‐species transmission (CST) of bacterial pathogens has major implications for human health, livestock, and wildlife management because it determines whether control actions in one species may have subsequent effects on other potential host species. The study of bacterial transmission has benefitted from methods measuring two types of genetic variation: variable number of tandem repeats (VNTRs) and single nucleotide polymorphisms (SNPs). However, it is unclear whether these data can distinguish between different epidemiological scenarios. We used a simulation model with two host species and known transmission rates (within and between species) to evaluate the utility of these markers for inferring CST. We found that CST estimates are biased for a wide range of parameters when based on VNTRs and a most parsimonious reconstructed phylogeny. However, estimations of CST rates lower than 5% can be achieved with relatively low bias using as low as 250 SNPs. CST estimates are sensitive to several parameters, including the number of mutations accumulated since introduction, stochasticity, the genetic difference of strains introduced, and the sampling effort. Our results suggest that, even with whole‐genome sequences, unbiased estimates of CST will be difficult when sampling is limited, mutation rates are low, or for pathogens that were recently introduced.

","language":"English","publisher":"Wiley","doi":"10.1111/eva.12173","usgsCitation":"Benavides, J.A., Cross, P.C., Luikart, G., and Creel, S., 2014, Limitations to estimating bacterial cross-speciestransmission using genetic and genomic markers: Inferences from simulation modeling: Evolutionary Applications, v. 7, no. 7, p. 774-787, https://doi.org/10.1111/eva.12173.","productDescription":"14 p.","startPage":"774","endPage":"787","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052486","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472654,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12173","text":"Publisher Index Page"},{"id":295853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-07-23","publicationStatus":"PW","scienceBaseUri":"5459eaa2e4b009f8aec96ff8","contributors":{"authors":[{"text":"Benavides, Julio Andre","contributorId":124530,"corporation":false,"usgs":false,"family":"Benavides","given":"Julio","email":"","middleInitial":"Andre","affiliations":[{"id":5090,"text":"Department of Ecology, 310 Lewis Hall, Montana State University, Bozeman, Montana 59717 USA","active":true,"usgs":false}],"preferred":false,"id":521270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luikart, Gordon","contributorId":124531,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":5091,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":521271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Creel, Scott","contributorId":124532,"corporation":false,"usgs":false,"family":"Creel","given":"Scott","email":"","affiliations":[{"id":5090,"text":"Department of Ecology, 310 Lewis Hall, Montana State University, Bozeman, Montana 59717 USA","active":true,"usgs":false}],"preferred":false,"id":521272,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70131493,"text":"70131493 - 2014 - Assembling evidence for identifying reservoirs of infection","interactions":[],"lastModifiedDate":"2018-09-18T16:33:13","indexId":"70131493","displayToPublicDate":"2014-11-04T11:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Assembling evidence for identifying reservoirs of infection","docAbstract":"

Many pathogens persist in multihost systems, making the identification of infection reservoirs crucial for devising effective interventions. Here, we present a conceptual framework for classifying patterns of incidence and prevalence, and review recent scientific advances that allow us to study and manage reservoirs simultaneously. We argue that interventions can have a crucial role in enriching our mechanistic understanding of how reservoirs function and should be embedded as quasi-experimental studies in adaptive management frameworks. Single approaches to the study of reservoirs are unlikely to generate conclusive insights whereas the formal integration of data and methodologies, involving interventions, pathogen genetics, and contemporary surveillance techniques, promises to open up new opportunities to advance understanding of complex multihost systems.

","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.tree.2014.03.002","usgsCitation":"Viana, M., Mancy, R., Biek, R., Cleaveland, S., Cross, P.C., Lloyd-Smith, J.O., and Haydon, D.T., 2014, Assembling evidence for identifying reservoirs of infection: Trends in Ecology and Evolution, v. 29, no. 5, p. 270-279, https://doi.org/10.1016/j.tree.2014.03.002.","productDescription":"10 p.","startPage":"270","endPage":"279","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052966","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472655,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tree.2014.03.002","text":"Publisher Index Page"},{"id":295852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459ea9de4b009f8aec96f9f","contributors":{"authors":[{"text":"Viana, Mafalda","contributorId":124533,"corporation":false,"usgs":false,"family":"Viana","given":"Mafalda","affiliations":[{"id":5092,"text":"Boyd Orr Centre for Population and Ecosystems Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK","active":true,"usgs":false}],"preferred":false,"id":521274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mancy, Rebecca","contributorId":124534,"corporation":false,"usgs":false,"family":"Mancy","given":"Rebecca","email":"","affiliations":[{"id":5093,"text":"Boyd Orr Centre for Population and Ecosystems Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK; School of Computing Science, University of Glasgow, Glasgow G12 8QQ, UK","active":true,"usgs":false}],"preferred":false,"id":521275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biek, Roman","contributorId":124535,"corporation":false,"usgs":false,"family":"Biek","given":"Roman","affiliations":[{"id":5094,"text":"Boyd Orr Centre for Population and Ecosystems Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK; Fogarty International Center, National Institutes of Health, Bethesda, MD 20892 USA","active":true,"usgs":false}],"preferred":false,"id":521276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleaveland, Sarah","contributorId":124536,"corporation":false,"usgs":false,"family":"Cleaveland","given":"Sarah","email":"","affiliations":[{"id":5092,"text":"Boyd Orr Centre for Population and Ecosystems Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK","active":true,"usgs":false}],"preferred":false,"id":521277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lloyd-Smith, James O.","contributorId":124537,"corporation":false,"usgs":false,"family":"Lloyd-Smith","given":"James","email":"","middleInitial":"O.","affiliations":[{"id":5095,"text":"Fogarty International Center, National Institutes of Health, Bethesda, MD 20892; Department of Ecology and Evolutionary Biology, University of California at Los Angeles, Los Angeles, CA 90095, USA","active":true,"usgs":false}],"preferred":false,"id":521278,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haydon, Daniel T.","contributorId":124538,"corporation":false,"usgs":false,"family":"Haydon","given":"Daniel","email":"","middleInitial":"T.","affiliations":[{"id":5092,"text":"Boyd Orr Centre for Population and Ecosystems Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK","active":true,"usgs":false}],"preferred":false,"id":521279,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70124957,"text":"sir20145177 - 2014 - Estimation of regional flow-duration curves for Indiana and Illinois","interactions":[],"lastModifiedDate":"2026-04-02T14:14:01.303233","indexId":"sir20145177","displayToPublicDate":"2014-11-04T10:30:00","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":"2014-5177","displayTitle":"Estimation of Regional Flow-Duration Curves for Indiana and Illinois","title":"Estimation of regional flow-duration curves for Indiana and Illinois","docAbstract":"

Flow-duration curves (FDCs) of daily streamflow are useful for many applications in water resources planning and management but must be estimated at ungaged sites. One common technique for estimating FDCs at ungaged sites in a given region is to use equations obtained by linear regression of FDC quantiles against multiple basin characteristics that can be computed by means of a geographic information system (GIS) computer program. In this study, such regional regression equations for estimating FDC quantiles were computed at the 0.1, 0.2, 0.5, 1, 2, 5, 10, 20, 25, 30, 40, 50, 60, 70, 75, 80, 90, 95, 98, 99, 99.5, 99.8, and 99.9-percent exceedance probabilities for rural, unregulated streams in Indiana and Illinois with temporally stationary records, using data through September 30, 2007. The approach used accounts for censored values below 0.01 cubic feet per second, which are observed at exceedance probabilities as low as 70 percent (that is, occurring at least 30 percent of the time). The basin characteristics used are suitable for computation by the USGS Web-based application, StreamStats, and are available for all U.S. Environmental Protection Agency (EPA) Region V states and the larger Great Lakes area, with some specific local exceptions. Indiana and Illinois were each divided into three regions, and a different set of equations for estimating FDC quantiles was computed for each region.

The error of estimation of the FDC quantiles, measured as the mean square residual in log space converted to a percentage of the quantile, varies somewhat among regions and varies strongly with exceedance probability, with a minimum error of 10 to 20 percent at an exceedance probability of 5 or 10 percent, but rises to 17 to 38 percent at the high-flow end of the FDCs (the 0.1-percent quantile) and 100 to 745 percent at the low-flow end. For comparison, errors of estimation also were computed for FDC quantiles estimated by linear regression on drainage area alone and by using the drainage-area ratio (DAR) method. Three criteria, the nearest basin centroid and two others termed “strict” and “broad”, were used to select index stations for the DAR method. The “strict” and “broad” criteria put conditions on the basin centroid distance and the range of their drainage-area ratios, and the errors were averaged for all index station pairs satisfying each criterion. The use of the simpler DAR method usually resulted in higher errors of estimation compared to the linear regression equations with multiple basin characteristics, except occasionally in the case of the DAR method with the strict index station selection criterion, a criterion that is rarely possible to satisfy in practice.

An example application of the estimated equations to one gaged and a few ungaged locations in a watershed in the study area is included to illustrate the steps required. These steps are the computation of the basin characteristics and, using those characteristics together with the estimated equations, the computation of the FDC quantiles and their uncertainties.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145177","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Region V, and the Indiana Department of Environmental Management","usgsCitation":"Over, T.M., Riley, J.D., Marti, M.K., Sharpe, J.B., and Arvin, D., 2014, Estimation of regional flow-duration curves for Indiana and Illinois (ver. 2.0, April 2022): U.S. Geological Survey Scientific Investigations Report 2014–5177, 24 p. and additional downloads, tables 2–5, 8–13, and 18, https://doi.org/10.3133/sir20145177.","productDescription":"Report: v, 24 p.; Tables: 2-5, 8-13, and 18; Data Release","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053042","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":438739,"rank":26,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FM4VUZ","text":"USGS data release","linkHelpText":"Data for the Estimation of Regional Flow-Duration Curves for Indiana and Illinois (ver. 3.0, December 2021)"},{"id":398053,"rank":25,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table18.xlsx","text":"Table 18","size":"37.7 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398052,"rank":24,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table18.csv","text":"Table 18","size":"9.80 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398051,"rank":23,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table13.xlsx","text":"Table 13","size":"28.0 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398050,"rank":22,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table13.csv","text":"Table 13","size":"6.03 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398048,"rank":21,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table12.xlsx","text":"Table 12","size":"29.3 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398047,"rank":20,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table12.csv","text":"Table 12","size":"7.08 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398045,"rank":19,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table11.xlsx","text":"Table 11","size":"27.5 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398044,"rank":18,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table11.csv","text":"Table 11","size":"5.33 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398042,"rank":17,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table10.xlsx","text":"Table 10","size":"30.0 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398041,"rank":16,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table10.csv","text":"Table 10","size":"6.81 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398040,"rank":15,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table9.xlsx","text":"Table 9","size":"32.1 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398037,"rank":12,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table8.csv","text":"Table 8","size":"6.54 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398035,"rank":11,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table5.xlsx","text":"Table 5","size":"66.0 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398034,"rank":10,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table5.csv","text":"Table 5","size":"50.2 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398033,"rank":9,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table4.xlsx","text":"Table 4","size":"83.9 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398032,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table4.csv","text":"Table 4","size":"38.1 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398030,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table3.xlsx","text":"Table 3","size":"71.9 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398029,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table3.csv","text":"Table 3","size":"27.5 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398028,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table2.xlsx","text":"Table 2","size":"62.7 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398039,"rank":14,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table9.csv","text":"Table 9","size":"22.2 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398038,"rank":13,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table8.xlsx","text":"Table 8","size":"29.4 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":398027,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177_table2.csv","text":"Table 2","size":"25.1 kB","linkFileType":{"id":7,"text":"csv"}},{"id":398026,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2014/5177/versionHist.txt","text":"Version History","size":"1 kB","linkFileType":{"id":2,"text":"txt"}},{"id":398025,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5177/sir20145177.pdf","text":"Report","size":"1.63 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":398024,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2014/5177/coverthb2.jpg"},{"id":501940,"rank":27,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_101022.htm","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Illinois, Indiana","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.366031,42.500274],[-88.786681,42.491983],[-88.115285,42.496219],[-87.800561,42.49192],[-87.79823,42.473054],[-87.80537,42.384721],[-87.820858,42.361584],[-87.830646,42.331368],[-87.834769,42.301522],[-87.828569,42.269922],[-87.812461,42.232278],[-87.800066,42.208024],[-87.741662,42.128227],[-87.712206,42.096455],[-87.682359,42.075729],[-87.671462,42.058334],[-87.668982,42.029142],[-87.630953,41.933132],[-87.624134,41.904574],[-87.611659,41.892216],[-87.616251,41.868933],[-87.60945,41.845233],[-87.600549,41.826833],[-87.580948,41.804334],[-87.576347,41.786034],[-87.560646,41.766034],[-87.542845,41.752135],[-87.530745,41.748235],[-87.524141,41.72399],[-87.524044,41.708335],[-87.520544,41.709935],[-87.505343,41.691535],[-87.470742,41.672835],[-87.463142,41.675535],[-87.446113,41.66934],[-87.43853,41.670679],[-87.432396,41.66053],[-87.438941,41.654335],[-87.42344,41.642835],[-87.365439,41.629536],[-87.324338,41.623036],[-87.261536,41.620336],[-87.187651,41.629653],[-87.160625,41.637266],[-87.160784,41.645385],[-87.125835,41.650302],[-87.120322,41.645701],[-87.027888,41.674661],[-86.93483,41.709638],[-86.90913,41.726938],[-86.824828,41.76024],[-84.805883,41.760216],[-84.802547,40.50181],[-84.814179,39.814212],[-84.820157,39.10548],[-84.831197,39.10192],[-84.860689,39.07814],[-84.888873,39.066376],[-84.897364,39.057378],[-84.889065,39.04082],[-84.870168,39.025551],[-84.83712,38.988059],[-84.829857,38.969385],[-84.83516,38.957961],[-84.877762,38.920357],[-84.877029,38.909016],[-84.867778,38.899133],[-84.812746,38.895132],[-84.785234,38.880439],[-84.785799,38.869496],[-84.791002,38.860572],[-84.823363,38.839196],[-84.829958,38.830632],[-84.827098,38.818634],[-84.813939,38.800209],[-84.812877,38.786087],[-84.828714,38.783208],[-84.887919,38.794652],[-84.941071,38.775627],[-84.990006,38.778383],[-85.100963,38.7268],[-85.13868,38.699168],[-85.172528,38.688082],[-85.190507,38.68795],[-85.213257,38.695446],[-85.226062,38.705456],[-85.246505,38.731821],[-85.275454,38.741172],[-85.306049,38.741649],[-85.363827,38.730477],[-85.410925,38.73708],[-85.434065,38.729455],[-85.452114,38.709348],[-85.456978,38.689135],[-85.455486,38.68209],[-85.438742,38.659319],[-85.437446,38.601724],[-85.415821,38.563558],[-85.4156,38.546341],[-85.423077,38.531581],[-85.472221,38.506279],[-85.482897,38.485701],[-85.498866,38.468242],[-85.536542,38.456083],[-85.587758,38.450495],[-85.607629,38.439295],[-85.620521,38.423105],[-85.632937,38.395666],[-85.638041,38.380338],[-85.638777,38.361443],[-85.653641,38.327108],[-85.683561,38.295469],[-85.744862,38.26717],[-85.761062,38.27257],[-85.765963,38.280469],[-85.780963,38.288469],[-85.816164,38.282969],[-85.829364,38.276769],[-85.845464,38.23027],[-85.894764,38.188469],[-85.908764,38.161169],[-85.906163,38.08617],[-85.915214,38.067664],[-85.925418,38.023456],[-85.951467,38.005608],[-86.009127,37.998529],[-86.029509,37.99264],[-86.035012,37.984814],[-86.033386,37.970382],[-86.038188,37.95935],[-86.045208,37.958258],[-86.053912,37.963571],[-86.064859,37.975618],[-86.075393,37.996948],[-86.095766,38.00893],[-86.12757,38.016011],[-86.16731,38.009879],[-86.178983,38.011308],[-86.220371,38.027922],[-86.233057,38.039305],[-86.261273,38.052721],[-86.273584,38.067443],[-86.27872,38.089303],[-86.271802,38.137874],[-86.287773,38.15805],[-86.317139,38.172907],[-86.347736,38.195363],[-86.360377,38.198796],[-86.373801,38.193352],[-86.378151,38.185845],[-86.377434,38.171379],[-86.37174,38.164183],[-86.325941,38.154317],[-86.321274,38.147418],[-86.323453,38.139032],[-86.335145,38.129242],[-86.379775,38.129274],[-86.401653,38.105396],[-86.431749,38.126121],[-86.449793,38.127223],[-86.463248,38.119278],[-86.466081,38.114437],[-86.463858,38.101177],[-86.434046,38.086763],[-86.430091,38.078638],[-86.432789,38.067171],[-86.452192,38.05049],[-86.51176,38.044448],[-86.521825,38.038327],[-86.524969,38.027879],[-86.525174,37.968228],[-86.520503,37.954438],[-86.50939,37.942492],[-86.50662,37.930719],[-86.534156,37.917007],[-86.586542,37.922285],[-86.599848,37.906754],[-86.598108,37.867382],[-86.609163,37.855408],[-86.638265,37.842718],[-86.652516,37.841636],[-86.661637,37.849714],[-86.661233,37.862761],[-86.644754,37.894806],[-86.647081,37.908621],[-86.680929,37.91501],[-86.716138,37.894073],[-86.73146,37.89434],[-86.75099,37.912893],[-86.765054,37.93251],[-86.794985,37.988982],[-86.820071,37.999392],[-86.85595,37.987292],[-86.902413,37.946161],[-86.919329,37.936664],[-86.969044,37.932858],[-87.010315,37.919668],[-87.033444,37.906593],[-87.045101,37.893775],[-87.043854,37.870796],[-87.067836,37.806065],[-87.090636,37.787808],[-87.111133,37.782512],[-87.129629,37.786608],[-87.14195,37.816176],[-87.162319,37.840159],[-87.20224,37.843791],[-87.220944,37.849134],[-87.302324,37.898445],[-87.344933,37.911164],[-87.380247,37.935596],[-87.418585,37.944763],[-87.450458,37.941451],[-87.501131,37.909162],[-87.511499,37.906426],[-87.559342,37.931146],[-87.57203,37.947466],[-87.577915,37.971542],[-87.589816,37.976042],[-87.601416,37.972542],[-87.606216,37.949642],[-87.625616,37.933442],[-87.628416,37.92145],[-87.620272,37.906922],[-87.591582,37.887194],[-87.588729,37.860984],[-87.615399,37.831974],[-87.645858,37.825899],[-87.672397,37.829127],[-87.679188,37.836321],[-87.681633,37.855917],[-87.66282,37.881449],[-87.665025,37.893514],[-87.67573,37.90193],[-87.684018,37.903498],[-87.717971,37.89257],[-87.740148,37.89465],[-87.76226,37.890906],[-87.7909,37.875714],[-87.830578,37.876516],[-87.841193,37.882325],[-87.844691,37.892048],[-87.857243,37.900649],[-87.87254,37.920999],[-87.883321,37.926238],[-87.898062,37.927514],[-87.904789,37.924892],[-87.936784,37.892587],[-87.940839,37.883338],[-87.936228,37.867937],[-87.910276,37.843416],[-87.903804,37.817762],[-87.90681,37.807624],[-87.932554,37.797672],[-87.944506,37.775256],[-87.95259,37.771742],[-87.96003,37.773223],[-87.976389,37.788004],[-87.997102,37.797672],[-88.015144,37.80193],[-88.02803,37.799224],[-88.035827,37.791917],[-88.042602,37.76712],[-88.059588,37.742608],[-88.122412,37.709685],[-88.159372,37.661847],[-88.156827,37.632801],[-88.142225,37.603737],[-88.139973,37.586451],[-88.13341,37.574273],[-88.105585,37.55618],[-88.088049,37.535124],[-88.069018,37.525297],[-88.061342,37.505327],[-88.064234,37.484548],[-88.067728,37.481593],[-88.072386,37.483563],[-88.087664,37.471059],[-88.135142,37.471626],[-88.188615,37.461896],[-88.281667,37.452596],[-88.312585,37.440591],[-88.333183,37.42721],[-88.348405,37.410726],[-88.365471,37.401663],[-88.39734,37.421644],[-88.413108,37.424468],[-88.456,37.408482],[-88.476592,37.386875],[-88.484462,37.345609],[-88.511497,37.298527],[-88.515939,37.284043],[-88.506942,37.266656],[-88.509328,37.26213],[-88.487277,37.244077],[-88.471753,37.220155],[-88.447764,37.203527],[-88.431488,37.160298],[-88.424403,37.152428],[-88.443538,37.109192],[-88.444605,37.098601],[-88.458948,37.073796],[-88.504437,37.065265],[-88.545403,37.070003],[-88.576718,37.085852],[-88.589207,37.099655],[-88.625889,37.119458],[-88.644872,37.122844],[-88.693983,37.141155],[-88.720224,37.140641],[-88.732105,37.143956],[-88.80572,37.188595],[-88.916934,37.224291],[-88.966831,37.229891],[-89.000968,37.224401],[-89.041263,37.202881],[-89.086526,37.165602],[-89.111189,37.119052],[-89.134931,37.103278],[-89.14132,37.093865],[-89.154504,37.088907],[-89.168087,37.074218],[-89.181369,37.046305],[-89.178975,37.020928],[-89.166447,37.003337],[-89.132685,36.9822],[-89.170008,36.970298],[-89.185491,36.973518],[-89.192097,36.979995],[-89.200793,37.016164],[-89.234053,37.037277],[-89.25493,37.072014],[-89.259936,37.064071],[-89.307726,37.069654],[-89.310819,37.057897],[-89.304752,37.047565],[-89.277715,37.03614],[-89.260003,37.023288],[-89.257608,37.015496],[-89.263527,37.00005],[-89.278628,36.98867],[-89.29213,36.992189],[-89.322982,37.01609],[-89.362397,37.030156],[-89.378277,37.039605],[-89.385434,37.05513],[-89.375712,37.080505],[-89.37871,37.094586],[-89.38805,37.107481],[-89.41173,37.122507],[-89.42558,37.138235],[-89.461862,37.199517],[-89.4675,37.221844],[-89.458246,37.247066],[-89.470525,37.253357],[-89.488728,37.251507],[-89.506773,37.268537],[-89.51834,37.285497],[-89.511842,37.310825],[-89.489005,37.333368],[-89.447556,37.340475],[-89.432836,37.347056],[-89.421054,37.387668],[-89.42594,37.407471],[-89.439769,37.4372],[-89.475525,37.471388],[-89.516447,37.535558],[-89.521925,37.560735],[-89.519808,37.582748],[-89.486062,37.580853],[-89.477548,37.585885],[-89.475932,37.592998],[-89.517718,37.641217],[-89.51204,37.680985],[-89.514255,37.689923],[-89.52573,37.698441],[-89.583316,37.713261],[-89.596566,37.732886],[-89.615586,37.74235],[-89.615933,37.748184],[-89.64953,37.745498],[-89.663352,37.750052],[-89.667993,37.759484],[-89.66038,37.786296],[-89.669644,37.799922],[-89.71748,37.825724],[-89.739873,37.84693],[-89.754104,37.846358],[-89.782035,37.855092],[-89.786369,37.851734],[-89.796087,37.859505],[-89.80036,37.868625],[-89.798041,37.879655],[-89.842649,37.905196],[-89.862949,37.896906],[-89.881475,37.879591],[-89.901832,37.869822],[-89.923185,37.870672],[-89.950594,37.881526],[-89.973642,37.917661],[-89.974918,37.926719],[-89.962273,37.934363],[-89.959646,37.940196],[-89.947429,37.940336],[-89.932467,37.947497],[-89.925389,37.95413],[-89.925085,37.960021],[-89.933797,37.959143],[-89.942099,37.970121],[-89.978919,37.962791],[-89.997103,37.963225],[-90.008353,37.970179],[-90.03241,37.995258],[-90.051357,38.003584],[-90.059367,38.015543],[-90.08826,38.015772],[-90.11052,38.026547],[-90.126194,38.040702],[-90.126396,38.054897],[-90.130788,38.062341],[-90.158533,38.074735],[-90.17222,38.069636],[-90.218708,38.094365],[-90.243116,38.112669],[-90.274928,38.157615],[-90.290765,38.170453],[-90.331554,38.18758],[-90.359559,38.224525],[-90.373929,38.281853],[-90.372519,38.323354],[-90.368219,38.340254],[-90.349743,38.377609],[-90.295316,38.426753],[-90.285215,38.443453],[-90.279215,38.472453],[-90.260314,38.528352],[-90.224212,38.575051],[-90.196011,38.594451],[-90.18451,38.611551],[-90.17801,38.63375],[-90.18111,38.65955],[-90.18641,38.67475],[-90.20921,38.70275],[-90.21201,38.71175],[-90.20991,38.72605],[-90.176309,38.754449],[-90.166409,38.772649],[-90.123107,38.798048],[-90.114707,38.815048],[-90.109407,38.843548],[-90.113327,38.849306],[-90.166409,38.876348],[-90.19761,38.887648],[-90.223041,38.907389],[-90.250248,38.919344],[-90.309454,38.92412],[-90.395816,38.960037],[-90.440078,38.967364],[-90.450792,38.967764],[-90.472122,38.958838],[-90.482419,38.94446],[-90.486974,38.925982],[-90.500117,38.910408],[-90.54403,38.87505],[-90.566557,38.868847],[-90.583388,38.86903],[-90.628485,38.891617],[-90.639917,38.908272],[-90.653164,38.916141],[-90.663372,38.928042],[-90.675949,38.96214],[-90.678193,38.991851],[-90.713629,39.053977],[-90.682744,39.088348],[-90.681086,39.10059],[-90.686051,39.117785],[-90.702923,39.138749],[-90.707902,39.15086],[-90.71048,39.176366],[-90.717404,39.197414],[-90.717113,39.213912],[-90.72996,39.255894],[-90.751599,39.265432],[-90.767648,39.280025],[-90.775673,39.292811],[-90.790675,39.302908],[-90.793461,39.309498],[-90.816851,39.320496],[-90.8475,39.345272],[-90.893777,39.367343],[-90.904862,39.379403],[-90.928745,39.387544],[-90.939025,39.402744],[-90.993789,39.422959],[-91.03827,39.448436],[-91.059439,39.46886],[-91.064305,39.494643],[-91.079769,39.507728],[-91.100307,39.538695],[-91.153628,39.548248],[-91.168419,39.564928],[-91.174232,39.591975],[-91.181936,39.602677],[-91.229317,39.620853],[-91.27614,39.665759],[-91.302485,39.679631],[-91.367753,39.729029],[-91.369953,39.745042],[-91.365125,39.758723],[-91.363444,39.792804],[-91.377971,39.811273],[-91.432919,39.840554],[-91.446385,39.870394],[-91.443513,39.893583],[-91.420878,39.914865],[-91.41936,39.927717],[-91.465315,39.983995],[-91.494878,40.036453],[-91.489606,40.057435],[-91.509245,40.121876],[-91.511749,40.147091],[-91.508324,40.156326],[-91.513079,40.178537],[-91.504477,40.198262],[-91.507269,40.209338],[-91.505828,40.238839],[-91.490524,40.259498],[-91.492727,40.278217],[-91.46214,40.342414],[-91.439342,40.366569],[-91.415695,40.381381],[-91.381958,40.387632],[-91.372921,40.399108],[-91.373721,40.417891],[-91.381769,40.442555],[-91.364915,40.484168],[-91.364211,40.500043],[-91.367876,40.510479],[-91.384531,40.530948],[-91.404125,40.539127],[-91.405241,40.554641],[-91.379752,40.57445],[-91.359873,40.601805],[-91.339719,40.613488],[-91.306524,40.626231],[-91.253074,40.637962],[-91.18698,40.637297],[-91.123928,40.669152],[-91.110927,40.703262],[-91.115735,40.725168],[-91.110424,40.745528],[-91.091703,40.779708],[-91.092256,40.792909],[-91.097649,40.805575],[-91.092993,40.821079],[-91.05643,40.848387],[-91.044653,40.868356],[-91.021562,40.884021],[-91.009536,40.900565],[-90.962916,40.924957],[-90.952233,40.954047],[-90.958142,40.979767],[-90.945949,41.006495],[-90.942253,41.034702],[-90.949383,41.07271],[-90.946259,41.094734],[-90.99496,41.160624],[-91.007586,41.166183],[-91.027214,41.163373],[-91.041536,41.166138],[-91.07298,41.207151],[-91.113648,41.241401],[-91.114186,41.250029],[-91.092034,41.286911],[-91.074841,41.305578],[-91.06652,41.365246],[-91.05158,41.385283],[-91.04589,41.414085],[-91.027787,41.423603],[-90.979815,41.434321],[-90.930016,41.421404],[-90.846558,41.455141],[-90.750142,41.449632],[-90.655839,41.462132],[-90.605937,41.494232],[-90.602137,41.506032],[-90.595237,41.511032],[-90.567236,41.517532],[-90.556235,41.524232],[-90.540935,41.526133],[-90.500633,41.518033],[-90.461432,41.523533],[-90.41283,41.565333],[-90.343228,41.587833],[-90.339528,41.598633],[-90.343452,41.646959],[-90.334525,41.679559],[-90.313435,41.698082],[-90.317668,41.72269],[-90.310708,41.742214],[-90.278633,41.767358],[-90.216889,41.795335],[-90.187969,41.803163],[-90.180954,41.809354],[-90.181901,41.843216],[-90.173006,41.857402],[-90.170041,41.876439],[-90.153584,41.906614],[-90.152659,41.933058],[-90.163847,41.944934],[-90.164135,41.956178],[-90.146225,41.981329],[-90.140061,42.003252],[-90.150916,42.02944],[-90.163446,42.040407],[-90.168358,42.075779],[-90.161504,42.098912],[-90.162895,42.116718],[-90.17097,42.125198],[-90.190452,42.125779],[-90.201404,42.130937],[-90.207421,42.149109],[-90.216107,42.15673],[-90.250129,42.171469],[-90.282173,42.178846],[-90.328273,42.201047],[-90.356964,42.205445],[-90.391108,42.225473],[-90.400653,42.239293],[-90.419326,42.254467],[-90.430884,42.27823],[-90.420454,42.305374],[-90.421047,42.316109],[-90.415937,42.322699],[-90.419027,42.328505],[-90.477279,42.383794],[-90.487154,42.385141],[-90.506829,42.398792],[-90.555018,42.416138],[-90.560439,42.432897],[-90.567968,42.440389],[-90.606328,42.451505],[-90.646727,42.471904],[-90.654027,42.478503],[-90.656527,42.489203],[-90.640927,42.508302],[-90.07367,42.508275],[-89.366031,42.500274]]]},\"properties\":{\"name\":\"Illinois\",\"nation\":\"USA \"}}]}","edition":"Version 1.0: October 29, 2014; Version 2.0: April 5, 2022","contact":"

Director, Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin
Urbana, IL 61801

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2014-10-29","revisedDate":"2022-04-05","noUsgsAuthors":false,"publicationDate":"2014-10-29","publicationStatus":"PW","scienceBaseUri":"545c9bb3e4b0ba8303f709c3","contributors":{"authors":[{"text":"Over, Thomas M. 0000-0001-8280-4368 tmover@usgs.gov","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":1819,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"tmover@usgs.gov","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":522859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riley, James D.","contributorId":127008,"corporation":false,"usgs":false,"family":"Riley","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":5043,"text":"Eastern Illinois University","active":true,"usgs":false}],"preferred":false,"id":522860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marti, Mackenzie K. 0000-0001-8817-4969","orcid":"https://orcid.org/0000-0001-8817-4969","contributorId":289637,"corporation":false,"usgs":false,"family":"Marti","given":"Mackenzie K.","affiliations":[],"preferred":false,"id":839526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":522861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arvin, Donald V. dvarvin@usgs.gov","contributorId":3210,"corporation":false,"usgs":true,"family":"Arvin","given":"Donald","email":"dvarvin@usgs.gov","middleInitial":"V.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":522862,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70132467,"text":"ofr20141201 - 2014 - Geologic and geophysical data for wells drilled at Raft River Valley, Cassia County, Idaho, in 1977-1978 and data for wells drilled previously","interactions":[],"lastModifiedDate":"2014-11-06T10:50:35","indexId":"ofr20141201","displayToPublicDate":"2014-11-04T10:00:00","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":"2014-1201","title":"Geologic and geophysical data for wells drilled at Raft River Valley, Cassia County, Idaho, in 1977-1978 and data for wells drilled previously","docAbstract":"

In order to better define the size of the thermal anomaly in the Raft River Valley, Idaho, the U.S. Geological Survey drilled a series of intermediate-depth (nominal 500-ft depth) wells in 1977 and 1978.  This report presents geologic, geophysical, and temperature data for these drill holes, along with data for five wells drilled by the Idaho National Engineering Laboratory with U.S. Department of Energy Funding.  Data previously reported for other drill holes are also included in order to make them available as digital files.

\n

 

\n

For purposes of defining the thermal anomaly for the geothermal system, temperature gradients are calculated over long depth intervals on the basis of the appearance of reasonable linear segments on a temperature versus plot depth.  Temperature versus depth data for some drill holes can be represented by a single gradient, whereas others require multiple gradients to match the data.  Data for some drill holes clearly reflect vertical flows of water in the formation surrounding the drill holes, and water velocities are calculated for these drill holes.  Within The Narrows area, temperature versus depth data show reversals at different depth in different drill holes.  In the main thermal area, temperatures in intermediate-depth drill holes vary approximately linearly but with very high values of temperature gradient.  Temperature gradients on a map of the area can be reasonable divided into a large area of regional gradients and smaller areas defining the thermal anomalies.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141201","usgsCitation":"Nathenson, M., Urban, T.C., and Covington, H., 2014, Geologic and geophysical data for wells drilled at Raft River Valley, Cassia County, Idaho, in 1977-1978 and data for wells drilled previously: U.S. Geological Survey Open-File Report 2014-1201, Report: iv, 30 p.; 2 Appendixes, https://doi.org/10.3133/ofr20141201.","productDescription":"Report: iv, 30 p.; 2 Appendixes","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052136","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":295850,"rank":9,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141201.JPG"},{"id":295822,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1201/"},{"id":295844,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1201/pdf/ofr20141201_appendixA.pdf"},{"id":295843,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1201/pdf/ofr2014-1201.pdf"},{"id":295845,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1201/pdf/ofr20141201_appendixB.pdf"},{"id":295846,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1201/pdf/ofr20141201_appendixA_figs.pdf"},{"id":295847,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1201/downloads/ofr20141201_appendixA_tables.zip"},{"id":295848,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1201/pdf/ofr20141201_appendixB_figs.pdf"},{"id":295849,"rank":8,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1201/downloads/ofr20141201_appendixB_tables.zip"}],"country":"United States","state":"Idaho","county":"Cassia County","otherGeospatial":"Raft River Valley","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa1e4b009f8aec96fe4","contributors":{"authors":[{"text":"Nathenson, Manuel 0000-0002-5216-984X mnathnsn@usgs.gov","orcid":"https://orcid.org/0000-0002-5216-984X","contributorId":1358,"corporation":false,"usgs":true,"family":"Nathenson","given":"Manuel","email":"mnathnsn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":522919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Urban, Thomas C.","contributorId":53949,"corporation":false,"usgs":true,"family":"Urban","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":522920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Covington, Harry R.","contributorId":101309,"corporation":false,"usgs":true,"family":"Covington","given":"Harry R.","affiliations":[],"preferred":false,"id":522921,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70127784,"text":"ofr20141215 - 2014 - Water-quality characteristics indicative of wastewater in selected streams in the upper Neuse River Basin, Durham and Orange Counties, North Carolina, from 2004 to 2013","interactions":[],"lastModifiedDate":"2016-12-08T16:58:12","indexId":"ofr20141215","displayToPublicDate":"2014-11-04T09:45:00","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":"2014-1215","title":"Water-quality characteristics indicative of wastewater in selected streams in the upper Neuse River Basin, Durham and Orange Counties, North Carolina, from 2004 to 2013","docAbstract":"

Data were collected during three time periods to assess the effects of wastewater treatment and disposal practices on the occurrence of selected contaminants indicative of wastewater in the upper Neuse River Basin, North Carolina. The first phase of data collection, December 2004 to June 2005, and the second phase, April to October 2008, addressed the effects of point and nonpoint sources of wastewater effluent on stream quality during baseflow conditions. Point-source effects were assessed by sampling a municipal wastewater treatment plant outfall and sites on the Eno River upstream and downstream from the outfall. Water-quality data suggest that the wastewater treatment plant effluent contributed to increases in concentrations of nitrogen and carbamazepine at the downstream site. Nonpoint source effects were assessed by sampling seven small streams that drained an undeveloped area and residential areas served by either centralized or onsite wastewater treatment systems. Samples were analyzed for inorganic constituents, including nutrients, ions, and metals; organic compounds considered indicative of wastewater contamination; antibiotics, optical brighteners, and fecal coliform bacteria. Hypothesized differences in water quality between the sites with primarily centralized and onsite wastewater treatment were not apparent, likely due to the relatively large heterogeneity of the sites within each category.

\n

 

\n

During the third phase of data collection, May 2012 to January 2013, data were collected to address the suitability of optical brighteners as tracers of wastewater in small streams during streamflow recession. Samples were collected at five small streams following periods of rainfall and analyzed for optical brighteners, specific conductance nutrients, and selected hormones. Optical brighteners were absent in the undeveloped catchment but were present in the recession period after rainfall events in catchments with centralized though possibly leaky sewage treatment and areas with onsite treatment. Sand filter systems in areas with onsite treatment appear to change the effluent flow and retention characteristics such that optical brighteners were present both before and after rainfall events. Nitrate plus nitrite, as nitrogen concentrations in samples from this last study phase generally were larger than those collected during baseflow conditions in the previous phases of this study.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141215","collaboration":"North Carolina Department of Environment and Natural Resources, Division of Environmental Health; Durham County Health Department; City of Durham Stormwater Department; City of Raleigh, North Carolina","usgsCitation":"Ferrell, G.M., Yearout, M.S., Grimes, B.H., Graves, A.K., Fitzgerald, S., and Meyer, M.T., 2014, Water-quality characteristics indicative of wastewater in selected streams in the upper Neuse River Basin, Durham and Orange Counties, North Carolina, from 2004 to 2013: U.S. Geological Survey Open-File Report 2014-1215, Report: xi, 62 p.; 10 Appendixes; 2 Tables, https://doi.org/10.3133/ofr20141215.","productDescription":"Report: xi, 62 p.; 10 Appendixes; 2 Tables","numberOfPages":"77","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-052107","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":295840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141215.jpg"},{"id":295770,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1215/"},{"id":295825,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1215/pdf/ofr2014-1215.pdf"},{"id":295838,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1215/appendix/"},{"id":295839,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1215/table"}],"country":"United States","state":"North Carolina","county":"Durham County, Orange County","otherGeospatial":"Upper Neuse River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.4036865234375,\n 35.793310688351724\n ],\n [\n -79.4036865234375,\n 36.22876574685929\n ],\n [\n -78.63327026367188,\n 36.22876574685929\n ],\n [\n -78.63327026367188,\n 35.793310688351724\n ],\n [\n -79.4036865234375,\n 35.793310688351724\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa4e4b009f8aec97030","contributors":{"authors":[{"text":"Ferrell, Gloria M. gferrell@usgs.gov","contributorId":1595,"corporation":false,"usgs":true,"family":"Ferrell","given":"Gloria","email":"gferrell@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":521319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yearout, Matthew S.","contributorId":124564,"corporation":false,"usgs":false,"family":"Yearout","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":521320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grimes, Barbara H.","contributorId":124565,"corporation":false,"usgs":false,"family":"Grimes","given":"Barbara","email":"","middleInitial":"H.","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":521321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Alexandria K.","contributorId":124566,"corporation":false,"usgs":false,"family":"Graves","given":"Alexandria","email":"","middleInitial":"K.","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":521322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzgerald, Sharon A. safitzge@usgs.gov","contributorId":4532,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Sharon A.","email":"safitzge@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":521318,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":521323,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70127080,"text":"sir20145182 - 2014 - Simulation of hydrologic conditions and suspended-sediment loads in the San Antonio River Basin downstream from San Antonio, Texas, 2000-12","interactions":[],"lastModifiedDate":"2016-08-05T12:08:21","indexId":"sir20145182","displayToPublicDate":"2014-11-04T09:45:00","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":"2014-5182","title":"Simulation of hydrologic conditions and suspended-sediment loads in the San Antonio River Basin downstream from San Antonio, Texas, 2000-12","docAbstract":"

Suspended sediment in rivers and streams can play an important role in ecological health of rivers and estuaries and consequently is an important issue for water-resource managers. To better understand suspended-sediment loads and transport in a watershed, the U.S. Geological Survey (USGS), in cooperation with the San Antonio River Authority, developed a Hydrological Simulation Program—FORTRAN model to simulate hydrologic conditions and suspended-sediment loads during 2000–12 for four watersheds, which comprise the overall study area in the San Antonio River Basin (hereinafter referred to as the “USGS–2014 model”). The study area consists of approximately 2,150 square miles encompassing parts of Bexar, Guadalupe, Wilson, Karnes, DeWitt, Goliad, Victoria, and Refugio Counties. The USGS–2014 model was calibrated for hydrology and suspended sediment for 2006–12. Overall, model-fit statistics and graphic evaluations from the calibration and testing periods provided multiple lines of evidence indicating that the USGS–2014 model simulations of hydrologic and suspended-sediment conditions were mostly “good” to “very good.” Model simulation results indicated that approximately 1,230 tons per day of suspended sediment exited the study area and were delivered to the Guadalupe River during 2006–12, of which approximately 62 percent originated upstream from the study area. Sample data and simulated model results indicate that most of the suspended-sediment load in the study area consisted of silt- and clay-sized particles (less than 0.0625 millimeters). The Cibolo Creek watershed was the largest contributor of suspended sediment from the study area. For the entire study area, open/developed land and cropland exhibited the highest simulated soil erosion rates; however, the largest contributions of sediment (by land-cover type) were pasture and forest/rangeland/shrubland, which together composed approximately 80 percent of the land cover of the study area and generated about 70 percent of the suspended-sediment load from the study area.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145182","collaboration":"Prepared in cooperation with the San Antonio River Authority","usgsCitation":"Banta, J., and Ockerman, D.J., 2014, Simulation of hydrologic conditions and suspended-sediment loads in the San Antonio River Basin downstream from San Antonio, Texas, 2000-12: U.S. Geological Survey Scientific Investigations Report 2014-5182, v, 46 p., https://doi.org/10.3133/sir20145182.","productDescription":"v, 46 p.","numberOfPages":"56","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2000-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-056710","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":295842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145182.jpg"},{"id":295821,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5182/"},{"id":295841,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5182/pdf/sir2014-5182.pdf"}],"country":"United States","state":"Texas","city":"San Antonio","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa3e4b009f8aec97016","contributors":{"authors":[{"text":"Banta, J. Ryan 0000-0002-2226-7270 jbanta@usgs.gov","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":4723,"corporation":false,"usgs":true,"family":"Banta","given":"J. Ryan","email":"jbanta@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":522917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":522918,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70127487,"text":"ofr20141206 - 2014 - Low-head hydropower assessment of the Brazilian State of São Paulo","interactions":[],"lastModifiedDate":"2017-01-18T11:27:29","indexId":"ofr20141206","displayToPublicDate":"2014-11-04T09:30:00","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":"2014-1206","title":"Low-head hydropower assessment of the Brazilian State of São Paulo","docAbstract":"

This study produced a comprehensive estimate of the magnitude of hydropower potential available in the streams that drain watersheds entirely within the State of São Paulo, Brazil. Because a large part of the contributing area is outside of São Paulo, the main stem of the Paraná River was excluded from the assessment. Potential head drops were calculated from the Digital Terrain Elevation Data,which has a 1-arc-second resolution (approximately 30-meter resolution at the equator). For the conditioning and validation of synthetic stream channels derived from the Digital Elevation Model datasets, hydrography data (in digital format) supplied by the São Paulo State Department of Energy and the Agência Nacional de Águas were used. Within the study area there were 1,424 rain gages and 123 streamgages with long-term data records. To estimate average yearly streamflow, a hydrologic regionalization system that divides the State into 21 homogeneous basins was used. Stream segments, upstream areas, and mean annual rainfall were estimated using geographic information systems techniques. The accuracy of the flows estimated with the regionalization models was validated. Overall, simulated streamflows were significantly correlated with the observed flows but with a consistent underestimation bias. When the annual mean flows from the regionalization models were adjusted upward by 10 percent, average streamflow estimation bias was reduced from -13 percent to -4 percent. The sum of all the validated stream reach mean annual hydropower potentials in the 21 basins is 7,000 megawatts (MW). Hydropower potential is mainly concentrated near the Serra do Mar mountain range and along the Tietê River. The power potential along the Tietê River is mainly at sites with medium and high potentials, sites where hydropower has already been harnessed. In addition to the annual mean hydropower estimates, potential hydropower estimates with flow rates with exceedance probabilities of 40 percent, 60 percent, and 90 percent were made.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141206","usgsCitation":"Artan, G.A., Cushing, W.M., Mathis, M.L., and Tieszen, L.L., 2014, Low-head hydropower assessment of the Brazilian State of São Paulo: U.S. Geological Survey Open-File Report 2014-1206, v, 15 p., https://doi.org/10.3133/ofr20141206.","productDescription":"v, 15 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051675","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":295835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141206.jpg"},{"id":295834,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1206/pdf/ofr2014-1206.pdf","text":"Report","size":"11.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":295766,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1206/"}],"country":"Brazil","city":"São Paulo","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa2e4b009f8aec96ffe","contributors":{"authors":[{"text":"Artan, Guleid A. 0000-0001-8409-6182 gartan@usgs.gov","orcid":"https://orcid.org/0000-0001-8409-6182","contributorId":2938,"corporation":false,"usgs":true,"family":"Artan","given":"Guleid","email":"gartan@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":521219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cushing, W. Matthew 0000-0001-5209-6006 mcushing@usgs.gov","orcid":"https://orcid.org/0000-0001-5209-6006","contributorId":2980,"corporation":false,"usgs":true,"family":"Cushing","given":"W.","email":"mcushing@usgs.gov","middleInitial":"Matthew","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":521220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathis, Melissa L. 0000-0003-4967-4770 mlmathis@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-4770","contributorId":5461,"corporation":false,"usgs":true,"family":"Mathis","given":"Melissa","email":"mlmathis@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":521221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":521222,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70121352,"text":"sir20145164 - 2014 - Estimates of growth and mortality of under-yearling smallmouth bass in Spednic Lake, from 1970 through 2008","interactions":[],"lastModifiedDate":"2014-11-04T08:55:49","indexId":"sir20145164","displayToPublicDate":"2014-11-04T09:00:00","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":"2014-5164","title":"Estimates of growth and mortality of under-yearling smallmouth bass in Spednic Lake, from 1970 through 2008","docAbstract":"

This report is the product of a 2013 cooperative agreement between the U.S. Geological Survey, the International Joint Commission, and the Maine Bureau of Sea Run Fisheries and Habitat to quantify the effects of meteorological conditions (from 1970 through 2008) on the survival of smallmouth bass (Micropterus dolomieu) in the first year of life in Spednic Lake. This report documents the data and methods used to estimate historical daily mean lake surface-water temperatures from early spring through late autumn, which were used to estimate the dates of smallmouth bass spawning, young-of-the-year growth, and probable strength of each year class. Mortality of eggs and fry in nests was modeled and estimated to exceed 10 percent in 17 of 39 years; during those years, cold temperatures in the early part of the spawning period resulted in mortality to fish that were estimated to have had the longest growing season and attain the greatest length. Modeled length-dependent overwinter survival combined with early mortality identified 1986, 1994, 1996, and 2004 as the years in which temperature was likely to have presented the greatest challenge to year-class strength in the Spednic Lake fishery. Age distribution of bass in fisheries on lakes in the St. Croix and surrounding watersheds confirmed that conditions in 1986 and 1996 resulted in weak smallmouth bass year classes (age-four or age-five bass representing less than 15 percent of a 100-fish sample).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145164","collaboration":"Prepared in cooperation with the International Joint Commission St. Croix River Watershed Board and the Maine Bureau of Sea Run Fisheries and Habitat","usgsCitation":"Dudley, R.W., and Trial, J.G., 2014, Estimates of growth and mortality of under-yearling smallmouth bass in Spednic Lake, from 1970 through 2008: U.S. Geological Survey Scientific Investigations Report 2014-5164, v, 15 p., https://doi.org/10.3133/sir20145164.","productDescription":"v, 15 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1970-01-01","temporalEnd":"2008-12-31","ipdsId":"IP-057932","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":295830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145164.jpg"},{"id":295761,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5164/"},{"id":295762,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5164/pdf/sir2014-5164.pdf","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","country":"Canada, United States","state":"Maine","otherGeospatial":"Spednic Lake","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa1e4b009f8aec96fda","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trial, Joan G.","contributorId":91156,"corporation":false,"usgs":true,"family":"Trial","given":"Joan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":519252,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157371,"text":"70157371 - 2014 - Using mark-recapture distance sampling methods on line transect surveys","interactions":[],"lastModifiedDate":"2017-11-24T17:47:57","indexId":"70157371","displayToPublicDate":"2014-11-01T12:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Using mark-recapture distance sampling methods on line transect surveys","docAbstract":"
    \n
  1. Mark–recapture distance sampling (MRDS) methods are widely used for density and abundance estimation when the conventional DS assumption of certain detection at distance zero fails, as they allow detection at distance zero to be estimated and incorporated into the overall probability of detection to better estimate density and abundance. However, incorporating MR data in DS models raises survey and analysis issues not present in conventional DS. Conversely, incorporating DS assumptions in MR models raises issues not present in conventional MR. As a result, being familiar with either conventional DS methods or conventional MR methods does not on its own put practitioners in good a position to apply MRDS methods appropriately. This study explains the sometimes subtly different varieties of MRDS survey methods and the associated concepts underlying MRDS models. This is done as far as possible without giving mathematical details – in the hope that this will make the key concepts underlying the methods accessible to a wider audience than if we were to present the concepts via equations.
    2. \n
  2. We illustrate use of the two main types of MRDS model by using data collected on two different types of survey: a survey of ungulate faecal pellets where two observers searched independently of each other; and a cetacean survey that used a search protocol that could accommodate responsive movement, with only one observer searching independently and the other being aware of all detections.
    3. \n
  3. Synthesis and applications. Mark–recapture DS is a widely used method for estimating animal density and abundance when detection of animals at distance zero is not certain. Two observer configurations and three statistical models are described, and it is important to choose the most appropriate model for the observer configuration and target species in question. By way of making the methods more accessible to practicing ecologists, we describe the key ideas underlying MRDS methods, the sometimes subtle differences between them, and we illustrate these by applying different kinds of MRDS method to surveys of two different target species using different survey configurations.
    4. \n
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.12294","usgsCitation":"Burt, L.M., Borchers, D., Jenkins, K.J., and Marques, T.A., 2014, Using mark-recapture distance sampling methods on line transect surveys: Methods in Ecology and Evolution, v. 5, no. 11, p. 1180-1191, https://doi.org/10.1111/2041-210X.12294.","productDescription":"12 p.","startPage":"1180","endPage":"1191","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059999","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":472656,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12294","text":"Publisher Index Page"},{"id":308436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-12","publicationStatus":"PW","scienceBaseUri":"5603cd5de4b03bc34f544b49","chorus":{"doi":"10.1111/2041-210x.12294","url":"http://dx.doi.org/10.1111/2041-210x.12294","publisher":"Wiley-Blackwell","authors":"Burt Mary Louise, Borchers David L., Jenkins Kurt J., Marques Tiago A.","journalName":"Methods in Ecology and Evolution","publicationDate":"11/2014"},"contributors":{"authors":[{"text":"Burt, Louise M.","contributorId":147848,"corporation":false,"usgs":false,"family":"Burt","given":"Louise","email":"","middleInitial":"M.","affiliations":[{"id":16945,"text":"St. Andrews University, UK","active":true,"usgs":false}],"preferred":false,"id":572899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borchers, David L.","contributorId":31106,"corporation":false,"usgs":true,"family":"Borchers","given":"David L.","affiliations":[],"preferred":false,"id":572900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":572898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marques, Tigao A","contributorId":147849,"corporation":false,"usgs":false,"family":"Marques","given":"Tigao","email":"","middleInitial":"A","affiliations":[{"id":16945,"text":"St. Andrews University, UK","active":true,"usgs":false}],"preferred":false,"id":572901,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156785,"text":"70156785 - 2014 - Development of the Coastal Storm Modeling System (CoSMoS) for predicting the impact of storms on high-energy, active-margin coasts","interactions":[],"lastModifiedDate":"2015-08-31T10:51:57","indexId":"70156785","displayToPublicDate":"2014-11-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Development of the Coastal Storm Modeling System (CoSMoS) for predicting the impact of storms on high-energy, active-margin coasts","docAbstract":"

The Coastal Storm Modeling System (CoSMoS) applies a predominantly deterministic framework to make detailed predictions (meter scale) of storm-induced coastal flooding, erosion, and cliff failures over large geographic scales (100s of kilometers). CoSMoS was developed for hindcast studies, operational applications (i.e., nowcasts and multiday forecasts), and future climate scenarios (i.e., sea-level rise + storms) to provide emergency responders and coastal planners with critical storm hazards information that may be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. The prototype system, developed for the California coast, uses the global WAVEWATCH III wave model, the TOPEX/Poseidon satellite altimetry-based global tide model, and atmospheric-forcing data from either the US National Weather Service (operational mode) or Global Climate Models (future climate mode), to determine regional wave and water-level boundary conditions. These physical processes are dynamically downscaled using a series of nested Delft3D-WAVE (SWAN) and Delft3D-FLOW (FLOW) models and linked at the coast to tightly spaced XBeach (eXtreme Beach) cross-shore profile models and a Bayesian probabilistic cliff failure model. Hindcast testing demonstrates that, despite uncertainties in preexisting beach morphology over the ~500 km alongshore extent of the pilot study area, CoSMoS effectively identifies discrete sections of the coast (100s of meters) that are vulnerable to coastal hazards under a range of current and future oceanographic forcing conditions, and is therefore an effective tool for operational and future climate scenario planning.

","language":"English","publisher":"International Society for the Prevention and Mitigation of Natural Hazards","publisherLocation":"Dordrecht","doi":"10.1007/s11069-014-1236-y","usgsCitation":"Barnard, P., van Ormondt, M., Erikson, L., Eshleman, J., Hapke, C.J., Peter Ruggiero, Adams, P., and Foxgrover, A.C., 2014, Development of the Coastal Storm Modeling System (CoSMoS) for predicting the impact of storms on high-energy, active-margin coasts: Natural Hazards, v. 74, no. 2, p. 1095-1125, https://doi.org/10.1007/s11069-014-1236-y.","productDescription":"31 p.","startPage":"1095","endPage":"1125","numberOfPages":"31","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054533","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-21","publicationStatus":"PW","scienceBaseUri":"55e57aace4b05561fa20868b","contributors":{"authors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":570535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Ormondt, Maarten","contributorId":147148,"corporation":false,"usgs":false,"family":"van Ormondt","given":"Maarten","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":570536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":147149,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":570537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eshleman, Jodi","contributorId":147150,"corporation":false,"usgs":false,"family":"Eshleman","given":"Jodi","email":"","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":570538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":570539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peter Ruggiero","contributorId":147151,"corporation":false,"usgs":false,"family":"Peter Ruggiero","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":570540,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Peter","contributorId":147152,"corporation":false,"usgs":false,"family":"Adams","given":"Peter","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":570541,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":570542,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}