Identifying the ecological dynamics underlying human–wildlife conflicts is important for the management and conservation of wildlife populations. In landscapes still occupied by large carnivores, many ungulate prey species migrate seasonally, yet little empirical research has explored the relationship between carnivore distribution and ungulate migration strategy. In this study, we evaluate the influence of elk (Cervus elaphus) distribution and other landscape features on wolf (Canis lupus) habitat use in an area of chronic wolf–livestock conflict in the Greater Yellowstone Ecosystem, USA. Using three years of fine-scale wolf (n = 14) and elk (n = 81) movement data, we compared the seasonal habitat use of wolves in an area dominated by migratory elk with that of wolves in an adjacent area dominated by resident elk. Most migratory elk vacate the associated winter wolf territories each summer via a 40–60 km migration, whereas resident elk remain accessible to wolves year-round. We used a generalized linear model to compare the relative probability of wolf use as a function of GIS-based habitat covariates in the migratory and resident elk areas. Although wolves in both areas used elk-rich habitat all year, elk density in summer had a weaker influence on the habitat use of wolves in the migratory elk area than the resident elk area. Wolves employed a number of alternative strategies to cope with the departure of migratory elk. Wolves in the two areas also differed in their disposition toward roads. In winter, wolves in the migratory elk area used habitat close to roads, while wolves in the resident elk area avoided roads. In summer, wolves in the migratory elk area were indifferent to roads, while wolves in resident elk areas strongly avoided roads, presumably due to the location of dens and summering elk combined with different traffic levels. Study results can help wildlife managers to anticipate the movements and establishment of wolf packs as they expand into areas with migratory or resident prey populations, varying levels of human activity, and front-country rangelands with potential for conflicts with livestock.
","language":"English","publisher":"ESA","doi":"10.1890/11-1829.1","usgsCitation":"Nelson, A., Kauffman, M., Middleton, A., Jimenez, M., McWhirter, D., Barber, J., and Gerow, K., 2012, Elk migration patterns and human activity influence wolf habitat use in the Greater Yellowstone Ecosystem: Ecological Applications, v. 22, no. 8, p. 2293-2307, https://doi.org/10.1890/11-1829.1.","productDescription":"15 p.","startPage":"2293","endPage":"2307","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033306","costCenters":[{"id":683,"text":"Wyoming Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":259201,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259197,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1829.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","city":"Cody","otherGeospatial":"Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.4985,44.3159 ], [ -110.4985,45.0003 ], [ -108.9289,45.0003 ], [ -108.9289,44.3159 ], [ -110.4985,44.3159 ] ] ] } } ] }","volume":"22","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a08dde4b0c8380cd51cd7","contributors":{"authors":[{"text":"Nelson, Abigail","contributorId":47258,"corporation":false,"usgs":true,"family":"Nelson","given":"Abigail","affiliations":[],"preferred":false,"id":464304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":2963,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":464300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Middleton, Arthur D.","contributorId":99440,"corporation":false,"usgs":true,"family":"Middleton","given":"Arthur D.","affiliations":[],"preferred":false,"id":464306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jimenez, Mike","contributorId":33785,"corporation":false,"usgs":true,"family":"Jimenez","given":"Mike","email":"","affiliations":[],"preferred":false,"id":464302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McWhirter, Douglas","contributorId":7577,"corporation":false,"usgs":true,"family":"McWhirter","given":"Douglas","affiliations":[],"preferred":false,"id":464301,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barber, Jarrett","contributorId":94935,"corporation":false,"usgs":true,"family":"Barber","given":"Jarrett","affiliations":[],"preferred":false,"id":464305,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gerow, Ken","contributorId":40870,"corporation":false,"usgs":true,"family":"Gerow","given":"Ken","email":"","affiliations":[],"preferred":false,"id":464303,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70004604,"text":"70004604 - 2012 - Insight on invasions and resilience derived from spatiotemporal discontinuities of biomass at local and regional scales","interactions":[],"lastModifiedDate":"2017-05-10T09:44:50","indexId":"70004604","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Insight on invasions and resilience derived from spatiotemporal discontinuities of biomass at local and regional scales","docAbstract":"Understanding the social and ecological consequences of species invasions is complicated by nonlinearities in processes, and differences in process and structure as scale is changed. Here we use discontinuity analyses to investigate nonlinear patterns in the distribution of biomass of an invasive nuisance species that could indicate scale-specific organization. We analyze biomass patterns in the flagellate Gonyostomum semen (Raphidophyta) in 75 boreal lakes during an 11-year period (1997-2007). With simulations using a unimodal null model and cluster analysis, we identified regional groupings of lakes based on their biomass patterns. We evaluated the variability of membership of individual lakes in regional biomass groups. Temporal trends in local and regional discontinuity patterns were analyzed using regressions and correlations with environmental variables that characterize nutrient conditions, acidity status, temperature variability, and water clarity. Regionally, there was a significant increase in the number of biomass groups over time, indicative of an increased number of scales at which algal biomass organizes across lakes. This increased complexity correlated with the invasion history of G. semen and broad-scale environmental change (recovery from acidification). Locally, no consistent patterns of lake membership to regional biomass groups were observed, and correlations with environmental variables were lake specific. The increased complexity of regional biomass patterns suggests that processes that act within or between scales reinforce the presence of G. semen and its potential to develop high-biomass blooms in boreal lakes. Emergent regional patterns combined with locally stochastic dynamics suggest a bleak future for managing G. semen, and more generally why invasive species can be ecologically successful.
","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/ES-04928-170232","usgsCitation":"Angeler, D., Allen, C.R., and Johnson, R.K., 2012, Insight on invasions and resilience derived from spatiotemporal discontinuities of biomass at local and regional scales: Ecology and Society, v. 17, no. 2, 15 p.; Article 32, https://doi.org/10.5751/ES-04928-170232.","productDescription":"15 p.; Article 32","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037249","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":488008,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-04928-170232","text":"Publisher Index Page"},{"id":259236,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259227,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5751/ES-04928-170232","linkFileType":{"id":5,"text":"html"}}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c1ee4b0c8380cd62aa3","contributors":{"authors":[{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":350832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Criag R.","contributorId":72247,"corporation":false,"usgs":true,"family":"Allen","given":"Criag","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":350833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Richard K.","contributorId":21810,"corporation":false,"usgs":true,"family":"Johnson","given":"Richard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":350831,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039225,"text":"fs20123090 - 2012 - The U.S. Geological Survey Amphibian Research and Monitoring Initiative-2011 Annual Update","interactions":[],"lastModifiedDate":"2017-11-22T16:07:14","indexId":"fs20123090","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3090","title":"The U.S. Geological Survey Amphibian Research and Monitoring Initiative-2011 Annual Update","docAbstract":"Welcome to the inaugural issue of ARMI's Annual Update. This update provides highlights and significant milestones of this innovative program. ARMI is uniquely qualified to provide research and monitoring results that are scalable from local to national levels, and are useful to resource managers. ARMI has produced nearly 400 peer-reviewed publications, including 18 in 2011. Some of those publications are highlighted in this fact sheet. ARMI also has a new Website (armi.usgs.gov). You can now use it to explore an up-to-date list of ARMI products, to find summaries of research topics, to search for ARMI activities in your area, and to obtain amphibian photographs. ARMI's annual meeting was organized by Walt Sadinski, Upper Midwest Environmental Science Center, and held in St Louis, Missouri. We met with local scientists and managers in herpetology and were given a tour of the herpetology collection at the St. Louis Zoo.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123090","usgsCitation":"Adams, M., Muths, E., Grant, E., Miller, D.A., Waddle, J., and Ball, L., 2012, The U.S. Geological Survey Amphibian Research and Monitoring Initiative-2011 Annual Update: U.S. Geological Survey Fact Sheet 2012-3090, HTML Document; Report: 4 p., https://doi.org/10.3133/fs20123090.","productDescription":"HTML Document; Report: 4 p.","numberOfPages":"4","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":413,"text":"National Coordinator - ARMI","active":false,"usgs":true}],"links":[{"id":262845,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3090.jpg"},{"id":259183,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3090/","linkFileType":{"id":5,"text":"html"}},{"id":259182,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3090/pdf/fs20123090.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba92be4b08c986b3220b5","contributors":{"authors":[{"text":"Adams, M.J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":30183,"corporation":false,"usgs":true,"family":"Adams","given":"M.J.","affiliations":[],"preferred":false,"id":465825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muths, E.","contributorId":6394,"corporation":false,"usgs":true,"family":"Muths","given":"E.","affiliations":[],"preferred":false,"id":465823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, E.H.C. 0000-0003-4401-6496","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":87242,"corporation":false,"usgs":true,"family":"Grant","given":"E.H.C.","affiliations":[],"preferred":false,"id":465827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, David A.","contributorId":29193,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":465824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waddle, J.H. 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":32654,"corporation":false,"usgs":true,"family":"Waddle","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":465826,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ball, L.C.","contributorId":95743,"corporation":false,"usgs":true,"family":"Ball","given":"L.C.","email":"","affiliations":[],"preferred":false,"id":465828,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70009702,"text":"70009702 - 2012 - Designs and test results for three new rotational sensors","interactions":[],"lastModifiedDate":"2012-09-05T17:16:16","indexId":"70009702","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2453,"text":"Journal of Seismology","active":true,"publicationSubtype":{"id":10}},"title":"Designs and test results for three new rotational sensors","docAbstract":"We discuss the designs and testing of three rotational seismometer prototypes developed at the Institute of Geophysics, Academy of Sciences (Prague, Czech Republic). Two of these designs consist of a liquid-filled toroidal tube with the liquid as the proof mass and providing damping; we tested the piezoelectric and pressure transduction versions of this torus. The third design is a wheel-shaped solid metal inertial sensor with capacitive sensing and magnetic damping. Our results from testing in Prague and at the Albuquerque Seismological Laboratory of the US Geological Survey of transfer function and cross-axis sensitivities are good enough to justify the refinement and subsequent testing of advanced prototypes. These refinements and new testing are well along.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Seismology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10950-012-9293-8","usgsCitation":"Jedlicka, P., Kozak, J., Evans, J., and Hutt, C., 2012, Designs and test results for three new rotational sensors: Journal of Seismology, v. 16, no. 4, p. 639-647, https://doi.org/10.1007/s10950-012-9293-8.","productDescription":"9 p.","startPage":"639","endPage":"647","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":259193,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259181,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10950-012-9293-8","linkFileType":{"id":5,"text":"html"}}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-03-25","publicationStatus":"PW","scienceBaseUri":"5059ff48e4b0c8380cd4f0f0","contributors":{"authors":[{"text":"Jedlicka, P.","contributorId":77411,"corporation":false,"usgs":true,"family":"Jedlicka","given":"P.","affiliations":[],"preferred":false,"id":356880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kozak, J.T.","contributorId":36412,"corporation":false,"usgs":true,"family":"Kozak","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":356877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, J.R.","contributorId":50526,"corporation":false,"usgs":true,"family":"Evans","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":356878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hutt, C. R. 0000-0001-9033-9195","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":61910,"corporation":false,"usgs":true,"family":"Hutt","given":"C. R.","affiliations":[],"preferred":false,"id":356879,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70003901,"text":"70003901 - 2012 - Ecological effects of nitrogen and sulfur air pollution in the US: what do we know?","interactions":[],"lastModifiedDate":"2018-02-21T15:56:37","indexId":"70003901","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Ecological effects of nitrogen and sulfur air pollution in the US: what do we know?","docAbstract":"Four decades after the passage of the US Clean Air Act, air-quality standards are set to protect ecosystems from damage caused by gas-phase nitrogen (N) and sulfur (S) compounds, but not from the deposition of these air pollutants to land and water. Here, we synthesize recent scientific literature on the ecological effects of N and S air pollution in the US. Deposition of N and S is the main driver of ecosystem acidification and contributes to nutrient enrichment in many natural systems. Although surface-water acidification has decreased in the US since 1990, it remains a problem in many regions. Perturbations to ecosystems caused by the nutrient effects of N deposition continue to emerge, although gas-phase concentrations are generally not high enough to cause phytotoxicity. In all, there is overwhelming evidence of a broad range of damaging effects to ecosystems in the US under current air quality conditions.","language":"English","publisher":"Ecological Society of America","doi":"10.1890/110049","usgsCitation":"Greaver, T.L., Sullivan, T.J., Herrick, J., Barber, M.C., Baron, J., Cosby, B.J., Deerhake, M.E., Dennis, R.L., Dubois, J.B., Goodale, C.L., Herlihy, A.T., Lawrence, G.B., Liu, L., Lynch, J.A., and Novak, K.J., 2012, Ecological effects of nitrogen and sulfur air pollution in the US: what do we know?: Frontiers in Ecology and the Environment, v. 10, no. 7, p. 365-372, https://doi.org/10.1890/110049.","productDescription":"8 p.","startPage":"365","endPage":"372","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":474399,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/110049","text":"Publisher Index Page"},{"id":259199,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-03-29","publicationStatus":"PW","scienceBaseUri":"505a0550e4b0c8380cd50d55","contributors":{"authors":[{"text":"Greaver, Tara L.","contributorId":92936,"corporation":false,"usgs":true,"family":"Greaver","given":"Tara","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":349381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Timothy J.","contributorId":77812,"corporation":false,"usgs":true,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":349380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrick, Jeffrey D.","contributorId":54864,"corporation":false,"usgs":true,"family":"Herrick","given":"Jeffrey D.","affiliations":[],"preferred":false,"id":349377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, Mary C.","contributorId":45590,"corporation":false,"usgs":true,"family":"Barber","given":"Mary","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":349376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":349371,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cosby, Bernard J.","contributorId":107578,"corporation":false,"usgs":true,"family":"Cosby","given":"Bernard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":349385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Deerhake, Marion E.","contributorId":96972,"corporation":false,"usgs":true,"family":"Deerhake","given":"Marion","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":349383,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dennis, Robin L.","contributorId":42849,"corporation":false,"usgs":true,"family":"Dennis","given":"Robin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":349375,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dubois, Jean-Jacque B.","contributorId":92937,"corporation":false,"usgs":true,"family":"Dubois","given":"Jean-Jacque","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":349382,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Goodale, Christine L.","contributorId":22638,"corporation":false,"usgs":true,"family":"Goodale","given":"Christine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":349374,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Herlihy, Alan T.","contributorId":103156,"corporation":false,"usgs":true,"family":"Herlihy","given":"Alan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":349384,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":349372,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Liu, Lingli","contributorId":9926,"corporation":false,"usgs":true,"family":"Liu","given":"Lingli","email":"","affiliations":[],"preferred":false,"id":349373,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lynch, Jason A.","contributorId":55702,"corporation":false,"usgs":true,"family":"Lynch","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":349378,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Novak, Kristopher J.","contributorId":58906,"corporation":false,"usgs":true,"family":"Novak","given":"Kristopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":349379,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70009700,"text":"70009700 - 2012 - Evaluation of SNODAS snow depth and snow water equivalent estimates for the Colorado Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2012-08-08T17:16:36","indexId":"70009700","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of SNODAS snow depth and snow water equivalent estimates for the Colorado Rocky Mountains, USA","docAbstract":"The National Weather Service's Snow Data Assimilation (SNODAS) program provides daily, gridded estimates of snow depth, snow water equivalent (SWE), and related snow parameters at a 1-km2 resolution for the conterminous USA. In this study, SNODAS snow depth and SWE estimates were compared with independent, ground-based snow survey data in the Colorado Rocky Mountains to assess SNODAS accuracy at the 1-km2 scale. Accuracy also was evaluated at the basin scale by comparing SNODAS model output to snowmelt runoff in 31 headwater basins with US Geological Survey stream gauges. Results from the snow surveys indicated that SNODAS performed well in forested areas, explaining 72% of the variance in snow depths and 77% of the variance in SWE. However, SNODAS showed poor agreement with measurements in alpine areas, explaining 16% of the variance in snow depth and 30% of the variance in SWE. At the basin scale, snowmelt runoff was moderately correlated (R2 = 0.52) with SNODAS model estimates. A simple method for adjusting SNODAS SWE estimates in alpine areas was developed that uses relations between prevailing wind direction, terrain, and vegetation to account for wind redistribution of snow in alpine terrain. The adjustments substantially improved agreement between measurements and SNODAS estimates, with the R2 of measured SWE values against SNODAS SWE estimates increasing from 0.42 to 0.63 and the root mean square error decreasing from 12 to 6 cm. Results from this study indicate that SNODAS can provide reliable data for input to moderate-scale to large-scale hydrologic models, which are essential for creating accurate runoff forecasts. Refinement of SNODAS SWE estimates for alpine areas to account for wind redistribution of snow could further improve model performance. Published 2011. This article is a US Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/hyp.9385","usgsCitation":"Clow, D.W., Nanus, L., Verdin, K.L., and Schmidt, J., 2012, Evaluation of SNODAS snow depth and snow water equivalent estimates for the Colorado Rocky Mountains, USA: Hydrological Processes, v. 26, no. 17, p. 2583-2591, https://doi.org/10.1002/hyp.9385.","productDescription":"9 p.","startPage":"2583","endPage":"2591","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":257800,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1002/hyp.9385","linkFileType":{"id":5,"text":"html"}},{"id":259212,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountains","volume":"26","issue":"17","noUsgsAuthors":false,"publicationDate":"2012-06-05","publicationStatus":"PW","scienceBaseUri":"505a0c21e4b0c8380cd52a4d","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nanus, Leora","contributorId":27930,"corporation":false,"usgs":true,"family":"Nanus","given":"Leora","email":"","affiliations":[],"preferred":false,"id":356875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdin, Kristine L. 0000-0002-6114-4660 kverdin@usgs.gov","orcid":"https://orcid.org/0000-0002-6114-4660","contributorId":3070,"corporation":false,"usgs":true,"family":"Verdin","given":"Kristine","email":"kverdin@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Jeffrey","contributorId":90972,"corporation":false,"usgs":true,"family":"Schmidt","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":356876,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70037787,"text":"70037787 - 2012 - Late twentieth century land-cover change in the basin and range ecoregions of the United States","interactions":[],"lastModifiedDate":"2012-11-14T14:57:22","indexId":"70037787","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3242,"text":"Regional Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Late twentieth century land-cover change in the basin and range ecoregions of the United States","docAbstract":"As part of the US Geological Survey's Land Cover Trends project, land-use/land-cover change estimates between 1973 and 2000 are presented for the basin and range ecoregions, including Northern, Central, Mojave, and Sonoran. Landsat data were employed to estimate and characterize land-cover change from 1973, 1980, 1986, 1992, and 2000 using a post-classification comparison. Overall, spatial change was 2.5% (17,830 km2). Change increased steadily between 1973 and 1986 but decreased slightly between 1992 and 2000. The grassland/shrubland class, frequently used for livestock grazing, constituted the majority of the study area and had a net decrease from an estimated 83.8% (587,024 km2) in 1973 to 82.6% (578,242 km2) in 2000. The most common land-use/land-cover conversions across the basin and range ecoregions were indicative of the changes associated with natural, nonmechanical disturbances (i.e., fire), and grassland/shrubland loss to development, agriculture, and mining. This comprehensive look at contemporary land-use/land-cover change provides critical insight into how the deserts of the United States have changed and can be used to inform adaptive management practices of public lands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Regional Environmental Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10113-012-0296-3","usgsCitation":"Soulard, C.E., and Sleeter, B.M., 2012, Late twentieth century land-cover change in the basin and range ecoregions of the United States: Regional Environmental Change, v. 12, no. 4, p. 813-823, https://doi.org/10.1007/s10113-012-0296-3.","productDescription":"11 p.","startPage":"813","endPage":"823","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":259228,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10113-012-0296-3","linkFileType":{"id":5,"text":"html"}},{"id":259231,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"12","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-03-14","publicationStatus":"PW","scienceBaseUri":"505a4560e4b0c8380cd6727c","contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":462727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":462728,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70004895,"text":"70004895 - 2012 - Evidence of recent climate change within the historic range of Rio Grande cutthroat trout: implications for management and future persistence","interactions":[],"lastModifiedDate":"2017-05-10T09:52:46","indexId":"70004895","displayToPublicDate":"2012-07-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of recent climate change within the historic range of Rio Grande cutthroat trout: implications for management and future persistence","docAbstract":"Evidence of anthropogenically influenced climate change has motivated natural resource managers to incorporate adaptive measures to minimize risks to sensitive and threatened species. Detecting trends in climate variables (i.e., air temperature and hydrology) can serve as a valuable management tool for protecting vulnerable species by increasing our understanding of localized conditions and trends. The Rio Grande cutthroat trout Oncorhynchus clarkii virginalis has suffered a severe decline in its historical distribution, with the majority of current populations persisting in isolated headwater streams. To evaluate recent climate change within the subspecies' historical range, we examined trends in average air temperatures, biologically important hydrological variables (timing of snowmelt and seasonal flows), and the April 1 snow water equivalent over the last 45 years (1963–2007). While rates of change in all three metrics were variable across sites, rangewide patterns were evident. Across the subspecies' historical range, average annual air temperatures increased (0.29°C per decade) and the timing of snowmelt shifted 10.6 d earlier in the year (2.3 d/decade). Flows increased during biologically important periods, including winter (January 1–March 31; 6.6% increase per decade), prespawning (April 1–May 14; 6.9% increase per decade), and spawning (May 15–June 15; 4.2% increase per decade) and decreased in summer (June 16–September 15; 1.9% decrease per decade). Evidence of decreasing April 1 snow water equivalent (5.3% per decade) was also observed. While the impacts of these changes at the population level are equivocal, it is likely that negative effects would influence the subspecies by altering its distribution, decreasing available habitat, and altering the timing of important life history components. Continued monitoring and proactive management will be required to increase the resiliency of remaining populations to ensure long-term persistence and protection in a changing climate.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/00028487.2012.676589","usgsCitation":"Zeigler, M., Todd, A., and Caldwell, C.A., 2012, Evidence of recent climate change within the historic range of Rio Grande cutthroat trout: implications for management and future persistence: Transactions of the American Fisheries Society, v. 141, no. 4, p. 1045-1059, https://doi.org/10.1080/00028487.2012.676589.","productDescription":"15 p.","startPage":"1045","endPage":"1059","ipdsId":"IP-031035","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":259214,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259203,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.676589","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado;New Mexico","volume":"141","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-06-26","publicationStatus":"PW","scienceBaseUri":"505a0d69e4b0c8380cd52fd7","contributors":{"authors":[{"text":"Zeigler, Matthew P.","contributorId":44401,"corporation":false,"usgs":true,"family":"Zeigler","given":"Matthew P.","affiliations":[],"preferred":false,"id":351625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd, Andrew S.","contributorId":33162,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew S.","affiliations":[],"preferred":false,"id":351624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":351623,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70037757,"text":"70037757 - 2012 - Changes in permeability caused by transient stresses: field observations, experiments, and mechanisms","interactions":[],"lastModifiedDate":"2019-05-30T13:03:48","indexId":"70037757","displayToPublicDate":"2012-07-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Changes in permeability caused by transient stresses: field observations, experiments, and mechanisms","docAbstract":"Oscillations in stress, such as those created by earthquakes, can increase permeability and fluid mobility in geologic media. In natural systems, strain amplitudes as small as 10–6 can increase discharge in streams and springs, change the water level in wells, and enhance production from petroleum reservoirs. Enhanced permeability typically recovers to prestimulated values over a period of months to years. Mechanisms that can change permeability at such small stresses include unblocking pores, either by breaking up permeability-limiting colloidal deposits or by mobilizing droplets and bubbles trapped in pores by capillary forces. The recovery time over which permeability returns to the prestimulated value is governed by the time to reblock pores, or for geochemical processes to seal pores. Monitoring permeability in geothermal systems where there is abundant seismicity, and the response of flow to local and regional earthquakes, would help test some of the proposed mechanisms and identify controls on permeability and its evolution.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Reviews of Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011RG000382","usgsCitation":"Manga, M., Beresnev, I., Brodsky, E.E., Elkhoury, J.E., Elsworth, D., Ingebritsen, S.E., Mays, D.C., and Wang, C., 2012, Changes in permeability caused by transient stresses: field observations, experiments, and mechanisms: Reviews of Geophysics, v. 50, 24 p.; RG2004, https://doi.org/10.1029/2011RG000382.","productDescription":"24 p.; RG2004","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":474405,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011rg000382","text":"Publisher Index Page"},{"id":259169,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011RG000382","linkFileType":{"id":5,"text":"html"}},{"id":259178,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","noUsgsAuthors":false,"publicationDate":"2012-05-12","publicationStatus":"PW","scienceBaseUri":"5059f41fe4b0c8380cd4bb5e","contributors":{"authors":[{"text":"Manga, Michael","contributorId":66559,"corporation":false,"usgs":true,"family":"Manga","given":"Michael","affiliations":[],"preferred":false,"id":462620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beresnev, Igor","contributorId":11482,"corporation":false,"usgs":true,"family":"Beresnev","given":"Igor","email":"","affiliations":[],"preferred":false,"id":462614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brodsky, Emily E.","contributorId":29660,"corporation":false,"usgs":true,"family":"Brodsky","given":"Emily","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":462616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elkhoury, Jean E.","contributorId":91376,"corporation":false,"usgs":true,"family":"Elkhoury","given":"Jean","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":462621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elsworth, Derek","contributorId":63279,"corporation":false,"usgs":true,"family":"Elsworth","given":"Derek","email":"","affiliations":[],"preferred":false,"id":462619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ingebritsen, Steve E.","contributorId":43639,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steve","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":462618,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mays, David C.","contributorId":34395,"corporation":false,"usgs":true,"family":"Mays","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":462617,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Chi-Yuen","contributorId":20001,"corporation":false,"usgs":true,"family":"Wang","given":"Chi-Yuen","affiliations":[],"preferred":false,"id":462615,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70007353,"text":"70007353 - 2012 - ArxA, a new clade of arsenite oxidase within the DMSO reductase family of molybdenum oxidoreductases","interactions":[],"lastModifiedDate":"2012-07-27T01:01:50","indexId":"70007353","displayToPublicDate":"2012-07-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1548,"text":"Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"ArxA, a new clade of arsenite oxidase within the DMSO reductase family of molybdenum oxidoreductases","docAbstract":"Arsenotrophy, growth coupled to autotrophic arsenite oxidation or arsenate respiratory reduction, occurs only in the prokaryotic domain of life. The enzymes responsible for arsenotrophy belong to distinct clades within the DMSO reductase family of molybdenum-containing oxidoreductases: specifically arsenate respiratory reductase, ArrA, and arsenite oxidase, AioA (formerly referred to as AroA and AoxB). A new arsenite oxidase clade, ArxA, represented by the haloalkaliphilic bacterium Alkalilimnicola ehrlichii strain MLHE-1 was also identified in the photosynthetic purple sulfur bacterium Ectothiorhodospira sp. strain PHS-1. A draft genome sequence of PHS-1 was completed and an arx operon similar to MLHE-1 was identified. Gene expression studies showed that arxA was strongly induced with arsenite. Microbial ecology investigation led to the identification of additional arxA-like sequences in Mono Lake and Hot Creek sediments, both arsenic-rich environments in California. Phylogenetic analyses placed these sequences as distinct members of the ArxA clade of arsenite oxidases. ArxA-like sequences were also identified in metagenome sequences of several alkaline microbial mat environments of Yellowstone National Park hot springs. These results suggest that ArxA-type arsenite oxidases appear to be widely distributed in the environment presenting an opportunity for further investigations of the contribution of Arx-dependent arsenotrophy to the arsenic biogeochemical cycle.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1462-2920.2012.02722.x","usgsCitation":"Zargar, K., Conrad, A., Bernick, D.L., Lowe, T.M., Stolc, V., Hoeft, S., Oremland, R.S., Stolz, J., and Saltikov, C.W., 2012, ArxA, a new clade of arsenite oxidase within the DMSO reductase family of molybdenum oxidoreductases: Environmental Microbiology, v. 14, no. 7, p. 1635-1645, https://doi.org/10.1111/j.1462-2920.2012.02722.x.","productDescription":"11 p.","startPage":"1635","endPage":"1645","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":259174,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259166,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1462-2920.2012.02722.x","linkFileType":{"id":5,"text":"html"}}],"volume":"14","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-03-09","publicationStatus":"PW","scienceBaseUri":"5059edb2e4b0c8380cd4995b","contributors":{"authors":[{"text":"Zargar, Kamrun","contributorId":52446,"corporation":false,"usgs":true,"family":"Zargar","given":"Kamrun","email":"","affiliations":[],"preferred":false,"id":356315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrad, Alison","contributorId":22618,"corporation":false,"usgs":true,"family":"Conrad","given":"Alison","email":"","affiliations":[],"preferred":false,"id":356314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernick, David L.","contributorId":105163,"corporation":false,"usgs":true,"family":"Bernick","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":356319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowe, Todd M.","contributorId":64935,"corporation":false,"usgs":true,"family":"Lowe","given":"Todd","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":356316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stolc, Viktor","contributorId":13481,"corporation":false,"usgs":true,"family":"Stolc","given":"Viktor","email":"","affiliations":[],"preferred":false,"id":356312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoeft, Shelley","contributorId":15877,"corporation":false,"usgs":true,"family":"Hoeft","given":"Shelley","affiliations":[],"preferred":false,"id":356313,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":356311,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stolz, John","contributorId":94907,"corporation":false,"usgs":true,"family":"Stolz","given":"John","affiliations":[],"preferred":false,"id":356318,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Saltikov, Chad W.","contributorId":66110,"corporation":false,"usgs":true,"family":"Saltikov","given":"Chad","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":356317,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70003559,"text":"70003559 - 2012 - By the numbers: how is recovery defined by the U.S. Endangered Species Act?","interactions":[],"lastModifiedDate":"2015-06-05T11:33:26","indexId":"70003559","displayToPublicDate":"2012-07-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"By the numbers: how is recovery defined by the U.S. Endangered Species Act?","docAbstract":"Nearly 40 years after passage of the US Endangered Species Act, the prospects for listed species remain dim because they are too severely imperiled by the time they receive the act's protection. Even if threats are abated, the low abundances required for recovery often preclude a high probability of persistence. The lack of sufficient data for setting recovery objectives also remains a barrier. Delisting is considered possible for only 74% of the 1173 species with recovery plans—92% of threatened and 69% of endangered species. The median number of populations required for delisting (8) was at or below the historical numbers for 64% and at or below the numbers at listing for 37% of the species. The median number of individuals required for recovery (2400) exceeded the abundances at listing for 93% of the species, but most were below the levels considered necessary for long-term persistence, especially in changing environments.
","language":"English","publisher":"University of California Press","doi":"10.1525/bio.2012.62.7.7","usgsCitation":"Neel, M.C., Leidner, A., Haines, A., Goble, D.D., and Scott, J.M., 2012, By the numbers: how is recovery defined by the U.S. Endangered Species Act?: BioScience, v. 62, no. 7, p. 646-657, https://doi.org/10.1525/bio.2012.62.7.7.","productDescription":"12 p.","startPage":"646","endPage":"657","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":474403,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/bio.2012.62.7.7","text":"Publisher Index Page"},{"id":259173,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"62","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f2bee4b0c8380cd4b331","contributors":{"authors":[{"text":"Neel, Maile C.","contributorId":26052,"corporation":false,"usgs":true,"family":"Neel","given":"Maile","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":347735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leidner, Allison K.","contributorId":92909,"corporation":false,"usgs":true,"family":"Leidner","given":"Allison K.","affiliations":[],"preferred":false,"id":347737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haines, Aaron","contributorId":37593,"corporation":false,"usgs":true,"family":"Haines","given":"Aaron","affiliations":[],"preferred":false,"id":347736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goble, Dale D.","contributorId":95323,"corporation":false,"usgs":true,"family":"Goble","given":"Dale","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":347738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scott, J. Michael","contributorId":98877,"corporation":false,"usgs":true,"family":"Scott","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":347739,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70039212,"text":"ds695 - 2012 - Concentrations of selected metals in Quaternary-age fluvial deposits along the lower Cheyenne and middle Belle Fourche Rivers, western South Dakota, 2009-10","interactions":[],"lastModifiedDate":"2022-06-08T19:11:34.250622","indexId":"ds695","displayToPublicDate":"2012-07-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"695","title":"Concentrations of selected metals in Quaternary-age fluvial deposits along the lower Cheyenne and middle Belle Fourche Rivers, western South Dakota, 2009-10","docAbstract":"The headwaters of the Cheyenne and Belle Fourche Rivers drain the Black Hills of South Dakota and Wyoming, an area that has been affected by mining and ore-milling operations since the discovery of gold in 1875. A tributary to the Belle Fourche River is Whitewood Creek, which drains the area of the Homestake Mine, a gold mine that operated from 1876 to 2001. Tailings discharged into Whitewood Creek contained arsenopyrite, an arsenic-rich variety of pyrite associated with gold ore, and mercury used as an amalgam during the gold-extraction process. Approximately 18 percent of the tailings that were discharged remain in fluvial deposits on the flood plain along Whitewood Creek, and approximately 25 percent remain in fluvial deposits on the flood plain along the Belle Fourche River, downstream from Whitewood Creek. In 1983, a 29-kilometer (18-mile) reach of Whitewood Creek and the adjacent flood plain was included in the U.S. Environmental Protection Agency's National Priority List of the Comprehensive Environmental Response, Compensation, and Liability Act of 1980, commonly referred to as a \"Superfund site.\" Listing of this reach of Whitewood Creek was primarily in response to arsenic toxicity of fluvial deposits on the flood plain. Lands along the lower Cheyenne River were transferred to adjoining States and Tribes in response to the Water Resources Development Act (WRDA) of 1999. An amendment in 2000 to WRDA required a study of sediment contamination of the Cheyenne River. In response to the WRDA amendment, the U.S. Geological Survey completed field sampling of reference sites (not affected by mine-tailing disposal) along the lower Belle Fourche and lower Cheyenne Rivers. Reference sites were located on stream terraces that were elevated well above historical stream stages to ensure no contamination from historical mining activity. Sampling of potentially contaminated sites was performed on transects of the active flood plain and adjacent terraces that could potentially be inundated during high-flow events. Sampling began in 2009 and was completed in 2010. A total of 74 geochemical samples were collected from fluvial deposits at reference sites, and 473 samples were collected from potentially contaminated sites. Sediment samples collected were analyzed for 23 metals, including arsenic and mercury. Sequential replicate, split duplicate, and field quality-control samples were analyzed for quality assurance of data-collection methods. The metal concentrations in sediment samples and location information are presented in this report in electronic format (Microsoft Excel), along with non-parametric summary statistics of those data. Cross-sectional topography is graphed with arsenic and mercury concentrations on transects at the potentially contaminated sites. The mean arsenic concentration in reference sediment samples was 8 milligrams per kilogram (mg/kg), compared to 250, 650, and 76 mg/kg for potentially contaminated sediment samples at the surface of the middle Belle Fourche River site, the subsurface of the middle Belle Fourche River site, and the surface of the lower Cheyenne River site, respectively. The mean mercury concentration in reference sediment samples was 16 micrograms per kilogram (μg/kg), compared to 130, 370, and 71 μg/kg for potentially contaminated sediment samples at the surface of the middle Belle Fourche River site, the subsurface of the middle Belle Fourche River site, and the surface of the lower Cheyenne River site, respectively.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds695","collaboration":"Prepared in cooperation with the Cheyenne River Sioux Tribe","usgsCitation":"Stamm, J., and Hoogestraat, G., 2012, Concentrations of selected metals in Quaternary-age fluvial deposits along the lower Cheyenne and middle Belle Fourche Rivers, western South Dakota, 2009-10: U.S. Geological Survey Data Series 695, Report: vi, 29 p.; Table 1: Excel file; Table 2: Excel file, https://doi.org/10.3133/ds695.","productDescription":"Report: vi, 29 p.; Table 1: Excel file; Table 2: Excel file","onlineOnly":"Y","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":259158,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/695/ds695.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259164,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_695.JPG"},{"id":259157,"rank":99,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/695/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator, Zone 13","country":"United States","state":"South Dakota","otherGeospatial":"Belle Fourche River;Cheyenne River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.11749999999999,44.06666666666667 ], [ -103.11749999999999,44.56666666666667 ], [ -100,44.56666666666667 ], [ -100,44.06666666666667 ], [ -103.11749999999999,44.06666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f99ae4b0c8380cd4d6bf","contributors":{"authors":[{"text":"Stamm, John F. 0000-0002-3404-2933 jstamm@usgs.gov","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":2859,"corporation":false,"usgs":true,"family":"Stamm","given":"John F.","email":"jstamm@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoogestraat, Galen K.","contributorId":22442,"corporation":false,"usgs":true,"family":"Hoogestraat","given":"Galen K.","affiliations":[],"preferred":false,"id":465792,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003866,"text":"70003866 - 2012 - Carbon and sediment accumulation in the Everglades (USA) during the past 4000 years: rates, drivers, and sources of error","interactions":[],"lastModifiedDate":"2013-02-23T22:32:00","indexId":"70003866","displayToPublicDate":"2012-07-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Carbon and sediment accumulation in the Everglades (USA) during the past 4000 years: rates, drivers, and sources of error","docAbstract":"Tropical and sub-tropical wetlands are considered to be globally important sources for greenhouse gases but their capacity to store carbon is presumably limited by warm soil temperatures and high rates of decomposition. Unfortunately, these assumptions can be difficult to test across long timescales because the chronology, cumulative mass, and completeness of a sedimentary profile are often difficult to establish. We therefore made a detailed analysis of a core from the principal drainage outlet of the Everglades of South Florida, to assess these problems and determine the factors that could govern carbon accumulation in this large sub-tropical wetland. Accelerator mass spectroscopy dating provided direct evidence for both hard-water and open-system sources of dating errors, whereas cumulative mass varied depending upon the type of method used. Radiocarbon dates of gastropod shells, nevertheless, seemed to provide a reliable chronology for this core once the hard-water error was quantified and subtracted. Long-term accumulation rates were then calculated to be 12.1 g m-2 yr-1 for carbon, which is less than half the average rate reported for northern and tropical peatlands. Moreover, accumulation rates remained slow and relatively steady for both organic and inorganic strata, and the slow rate of sediment accretion ( 0.2 mm yr-1) tracked the correspondingly slow rise in sea level (0.35 mm yr-1 ) reported for South Florida over the past 4000 years. These results suggest that sea level and the local geologic setting may impose long-term constraints on rates of sediment and carbon accumulation in the Everglades and other wetlands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research G: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011JG001821","usgsCitation":"Glaser, P., Volin, J.C., Givnish, T.J., Hansen, B., and Stricker, C.A., 2012, Carbon and sediment accumulation in the Everglades (USA) during the past 4000 years: rates, drivers, and sources of error: Journal of Geophysical Research G: Biogeosciences, v. 117, no. G3, https://doi.org/10.1029/2011JG001821.","productDescription":"18 p.;","startPage":"G03026","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":259175,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259168,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JG001821","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","city":"Everglades","volume":"117","issue":"G3","noUsgsAuthors":false,"publicationDate":"2012-09-05","publicationStatus":"PW","scienceBaseUri":"5059f35ce4b0c8380cd4b74a","contributors":{"authors":[{"text":"Glaser, Paul H.","contributorId":6705,"corporation":false,"usgs":true,"family":"Glaser","given":"Paul H.","affiliations":[],"preferred":false,"id":349209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Volin, John C.","contributorId":39226,"corporation":false,"usgs":true,"family":"Volin","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":349211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Givnish, Thomas J.","contributorId":49648,"corporation":false,"usgs":true,"family":"Givnish","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":349212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Barbara C. S.","contributorId":21026,"corporation":false,"usgs":true,"family":"Hansen","given":"Barbara C. S.","affiliations":[],"preferred":false,"id":349210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":349208,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70039213,"text":"sir20125123 - 2012 - Groundwater quality in the Columbia Plateau, Snake River Plain, and Oahu basaltic-rock and basin-fill aquifers in the Northwestern United States and Hawaii, 1992-2010","interactions":[],"lastModifiedDate":"2016-08-31T17:31:58","indexId":"sir20125123","displayToPublicDate":"2012-07-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5123","subseriesTitle":"National Water-Quality Assessment Program","title":"Groundwater quality in the Columbia Plateau, Snake River Plain, and Oahu basaltic-rock and basin-fill aquifers in the Northwestern United States and Hawaii, 1992-2010","docAbstract":"This assessment of groundwater-quality conditions of the Columbia Plateau, Snake River Plain, and Oahu for the period 1992–2010 is part of the U.S. Geological Survey’s National Water Quality Assessment (NAWQA) program. It shows where, when, why, and how specific water-quality conditions occur in groundwater of the three study areas and yields science-based implications for assessing and managing the quality of these water resources. The primary aquifers in the Columbia Plateau, Snake River Plain, and Oahu are mostly composed of fractured basalt, which makes their hydrology and geochemistry similar. In spite of the hydrogeologic similarities, there are climatic differences that affect the agricultural practices overlying the aquifers, which in turn affect the groundwater quality. Understanding groundwater-quality conditions and the natural and human factors that control groundwater quality is important because of the implications to human health, the sustainability of rural agricultural economies, and the substantial costs associated with land and water management, conservation, and regulation.
\nThe principal regional aquifers of the Columbia Plateau, Snake River Plain, and Oahu are highly vulnerable to contamination by chemicals applied at the land surface; essentially, they are as vulnerable as many shallow surficial aquifers elsewhere. The permeable and largely unconfined character of principal aquifers in the Columbia Plateau, Snake River Plain, and Oahu allow water and chemicals to infiltrate to the water table despite depths to water commonly in the hundreds of feet. The aquifers are essentially unconfined over large areas, having few extensive clay layers to impede infiltration through permeable volcanic rock and alluvial sediments. Agriculture is intensive in all three study areas, and heavy irrigation has imposed large artificial flows of irrigation recharge that rival or exceed natural recharge rates. Fertilizers and pesticides applied at land surface are leached from soil and transported to deep water tables with the infiltrating irrigation recharge, resulting in a layer of degraded water quality overlying better quality regional groundwater beneath. This “irrigation-recharge layer” is best known on Oahu, where it has been studied since the 1960s; however, the extent of nitrate and pesticide contamination in the Columbia Plateau and Snake River Plain indicate that the same situation exists in those areas. Contamination from agricultural and urban activities is present not only at shallow depths in surficial materials of the three areas, but extends regionally in the deep, principal bedrock aquifers that are tapped for drinking water by domestic and public-supply wells.
\nNaturally occurring constituents and nitrate concentrations above human-health benchmarks—Maximum Contaminant Levels (MCLs), and Health-Based Screening Levels (HBSLs)—were more common in the Columbia Plateau and the Snake River Plain than in Oahu. Concentrations of anthropogenic constituents (constituents related to human activities) above human-health benchmarks were more common in Oahu. Naturally occurring contaminants, such as arsenic and radon, may be present in groundwater at concentrations of potential concern for human health in relatively undeveloped settings that otherwise may not be perceived as susceptible to contamination. Even though the median depth to groundwater in Oahu is more than 300 feet, the common occurrence of anthropogenic compounds in groundwater indicates that Oahu has a high susceptibility to contamination.
\nNitrate concentrations in groundwater were above the national background concentrations of 1 milligram per liter (mg/L) in all three study areas. In the Columbia Plateau, nitrate exceeded the human-health benchmark of 10 mg/L in 20 percent of the wells sampled. In the Snake River Plain, nitrate exceeded the human-health benchmark of 10 mg/L in 3 percent of the wells sampled. Nitrate can persist in groundwater for years and even decades in the oxygen-rich groundwater of the Columbia Plateau and the Snake River Plain, so prudent groundwater protection measures are critical to protect drinking water resources by reducing nitrate leaching from the land surface.
\nNitrate logistic regression models indicated that areas with a high percentage of land in crops (such as potatoes or sugarcane) and soils with low amounts of organic matter are most likely to have elevated nitrate concentrations in the groundwater. Areas where agricultural activities were absent had much lower probabilities of detecting elevated nitrate concentrations. The Columbia Plateau had a much higher probability of having elevated nitrate concentrations, with most of the land area having greater than a 50 percent probability of elevated nitrate concentrations. Oahu and the Snake River Plain had a much lower probability of having elevated nitrate concentrations because of their lower percentage of agricultural land.
\nPesticides were detected at many sites in groundwater of the Columbia Plateau, Snake River Plain, and Oahu but generally at low concentrations below human-health benchmarks. Atrazine and its degradate (a compound produced from the breakdown of a parent pesticide), deethylatrazine, were the most commonly detected pesticides in groundwater sampled in the Columbia Plateau and Snake River Plain. Bromacil was the most commonly detected pesticide on Oahu. The other pesticides most commonly detected in the study areas include simazine, hexazinone, metribuzin, diuron, prometon, metolachlor, p,p’-DDE, dieldrin, 2-4-D, and alachlor. DDE (a degradate of DDT) and dieldrin are still being detected in groundwater despite having been banned for more than 30 years. Codetection of multiple pesticides in water from a single well was common. The widespread occurrence of pesticides in groundwater in the study areas indicates that the groundwater is highly susceptible to pesticide contamination.
\nSome pesticides were detected in groundwater samples from all three study areas, but other pesticides were detected only in samples from Oahu, or only in samples from the Columbia Plateau and Snake River Plain. This is because some pesticides (such as atrazine) are broad-spectrum pesticides that are used on many crops in many different areas of the United States. Other pesticides (such as simazine, metribuzin, and metolachlor) are used on row crops (such as potatoes, barley, and alfalfa) grown in the Columbia Plateau and Snake River Plain, but not on pineapple or sugarcane grown in Oahu.
\nAtrazine logistic-regression models indicate that areas with a high percentage of land in crops (such as potatoes or sugarcane), a low percentage of fallow land, and highly permeable soils with low amounts of organic matter are most likely to have atrazine detected in the groundwater. Areas where agricultural activities were absent had much lower probabilities of atrazine being detected. The Snake River Plain had a much higher probability of atrazine detections, with more than 50 percent of the land area having greater than a 50 percent probability of atrazine contamination. Oahu had a much lower probability of atrazine contamination, with only 24 percent of the land area having greater than a 50 percent probability of atrazine contamination.
\nOahu and the Columbia Plateau had some of the highest percentages of soil fumigant detections in groundwater in the United States. Soil fumigants are volatile organic compounds (VOCs) used as pesticides, which are applied to soils to reduce populations of plant parasitic nematodes (harmful rootworms), weeds, fungal pathogens, and other soil-borne microorganisms. They are used in Oahu and the Columbia Plateau on crops such as pineapple and potatoes. All three areas (Columbia Plateau, Snake River Plain, and Oahu) had fumigant concentrations exceeding human-health benchmarks for drinking water.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125123","usgsCitation":"Frans, L.M., Rupert, M.G., Hunt, C.D., and Skinner, K.D., 2012, Groundwater quality in the Columbia Plateau, Snake River Plain, and Oahu basaltic-rock and basin-fill aquifers in the Northwestern United States and Hawaii, 1992-2010: U.S. Geological Survey Scientific Investigations Report 2012-5123, x, 84 p., https://doi.org/10.3133/sir20125123.","productDescription":"x, 84 p.","numberOfPages":"94","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":259163,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5123.jpg"},{"id":259159,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5123/","linkFileType":{"id":5,"text":"html"}},{"id":259160,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5123/pdf/sir20125123.pdf","text":"Report","size":"24.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"scale":"2000000","projection":"Albers Equal Area Conic","datum":"North American Datum 1983","country":"United States","state":"Hawai'i, Idaho, Nevada, Oregon, Utah, Washington, Wyoming","otherGeospatial":"Columbia Plateau, Oahu, Snake River Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.89962768554685,\n 21.624239377938288\n ],\n [\n -157.87216186523438,\n 21.59231986280347\n ],\n [\n -157.85568237304688,\n 21.5731647743054\n ],\n [\n -157.82958984375,\n 21.542511366159946\n ],\n [\n -157.82958984375,\n 21.5080185422074\n ],\n [\n -157.8364562988281,\n 21.49013015124931\n ],\n [\n -157.82546997070312,\n 21.478629309978384\n ],\n [\n -157.81173706054688,\n 21.46968358313921\n ],\n [\n -157.78701782226562,\n 21.46968358313921\n ],\n [\n -157.76779174804688,\n 21.47735138264276\n ],\n [\n -157.73895263671875,\n 21.47223956115867\n ],\n [\n -157.71697998046875,\n 21.47096157775494\n ],\n [\n -157.71697998046875,\n 21.444121337131314\n ],\n [\n -157.72796630859372,\n 21.422389905231366\n ],\n [\n -157.70736694335938,\n 21.410883719938866\n ],\n [\n -157.68539428710938,\n 21.40449100321618\n ],\n [\n -157.6922607421875,\n 21.369965503124217\n ],\n [\n -157.68127441406247,\n 21.353339209476513\n ],\n [\n -157.65655517578125,\n 21.35078115067975\n ],\n [\n -157.64144897460938,\n 21.337990187100303\n ],\n [\n -157.63458251953122,\n 21.3124049136927\n ],\n [\n -157.65106201171875,\n 21.281696701343975\n ],\n [\n -157.67303466796875,\n 21.26506040855853\n ],\n [\n -157.69912719726562,\n 21.256101625916383\n ],\n [\n -157.7197265625,\n 21.252261980810378\n ],\n [\n -157.72384643554688,\n 21.268899719967695\n ],\n [\n -157.76092529296875,\n 21.263780615837838\n ],\n [\n -157.7801513671875,\n 21.250982076868247\n ],\n [\n -157.8076171875,\n 21.248422235627014\n ],\n [\n -157.8240966796875,\n 21.257381485376463\n ],\n [\n -157.83920288085938,\n 21.268899719967695\n ],\n [\n -157.8570556640625,\n 21.27657804234913\n ],\n [\n -157.88177490234375,\n 21.286815182224142\n ],\n [\n -157.89688110351562,\n 21.294492569503646\n ],\n [\n -157.92434692382812,\n 21.29193348495502\n ],\n [\n -157.9463195800781,\n 21.295772095071854\n ],\n [\n -157.96417236328125,\n 21.307287323905406\n ],\n [\n -157.9833984375,\n 21.30600789859977\n ],\n [\n -158.03009033203125,\n 21.299610604945617\n ],\n [\n -158.07540893554688,\n 21.28553557870424\n ],\n [\n -158.11111450195312,\n 21.284255964050555\n ],\n [\n -158.1317138671875,\n 21.3124049136927\n ],\n [\n -158.14132690429688,\n 21.353339209476513\n ],\n [\n -158.16055297851562,\n 21.375080906078406\n ],\n [\n -158.17428588867188,\n 21.38531117571444\n ],\n [\n -158.19076538085938,\n 21.4134407283247\n ],\n [\n -158.20449829101562,\n 21.43900835015781\n ],\n [\n -158.22921752929688,\n 21.45818112714608\n ],\n [\n -158.24157714843747,\n 21.493963563064455\n ],\n [\n -158.24157714843747,\n 21.52334969729623\n ],\n [\n -158.25393676757812,\n 21.537401835046946\n ],\n [\n -158.26904296875,\n 21.55911609985187\n ],\n [\n -158.29376220703125,\n 21.5731647743054\n ],\n [\n -158.27728271484375,\n 21.59104293572423\n ],\n [\n -158.23883056640625,\n 21.59487368317261\n ],\n [\n -158.20724487304688,\n 21.596150576461437\n ],\n [\n -158.15505981445312,\n 21.602534873926643\n ],\n [\n -158.12210083007812,\n 21.608918889711333\n ],\n [\n -158.0987548828125,\n 21.619132728904606\n ],\n [\n -158.0767822265625,\n 21.64594062309775\n ],\n [\n -158.05343627929688,\n 21.68167673939553\n ],\n [\n -158.02871704101562,\n 21.70336934552424\n ],\n [\n -157.99575805664062,\n 21.719955603844944\n ],\n [\n -157.98065185546875,\n 21.72378293037045\n ],\n [\n -157.96279907226562,\n 21.72378293037045\n ],\n [\n -157.94082641601562,\n 21.700817443805004\n ],\n [\n -157.91885375976562,\n 21.6778482933475\n ],\n [\n -157.90924072265625,\n 21.651046324540445\n ],\n [\n -157.89962768554685,\n 21.624239377938288\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.35791015625,\n 45.42158812329091\n ],\n [\n -108.984375,\n 44.91813929958515\n ],\n [\n -108.83056640625,\n 44.465151013519616\n ],\n [\n -108.74267578125,\n 43.8186748554532\n ],\n [\n -108.87451171875,\n 43.17313537107136\n ],\n [\n -109.27001953125,\n 42.85180609584705\n ],\n [\n -109.6875,\n 42.54498667313236\n ],\n [\n -110.1708984375,\n 42.25291778330197\n ],\n [\n -110.863037109375,\n 42.12267315117259\n ],\n [\n -111.104736328125,\n 41.96765920367816\n ],\n [\n -111.368408203125,\n 41.86137915587359\n ],\n [\n -111.697998046875,\n 41.60722821271717\n ],\n [\n -112.445068359375,\n 41.51680395810118\n ],\n [\n -112.65380859375,\n 41.45919537950706\n ],\n [\n -112.9833984375,\n 41.46742831254425\n ],\n [\n -113.653564453125,\n 41.42625319507272\n ],\n [\n -113.983154296875,\n 41.02964338716638\n ],\n [\n -114.466552734375,\n 40.78054143186031\n ],\n [\n -115.04882812499999,\n 40.622291783092706\n ],\n [\n -115.81787109375,\n 40.6723059714534\n ],\n [\n -116.3671875,\n 41.19518982948959\n ],\n [\n -116.619873046875,\n 41.92680320648791\n ],\n [\n -116.65283203124999,\n 42.76314586689494\n ],\n [\n -116.4111328125,\n 43.79488907226601\n ],\n [\n -116.01562499999999,\n 44.54350521320822\n ],\n [\n -115.23559570312499,\n 45.058001435398296\n ],\n [\n -114.312744140625,\n 45.51404592560424\n ],\n [\n -113.302001953125,\n 45.75219336063106\n ],\n [\n -112.093505859375,\n 45.805828539928356\n ],\n [\n -111.0498046875,\n 45.729191061299936\n ],\n [\n -110.269775390625,\n 45.68315803253308\n ],\n [\n -109.35791015625,\n 45.42158812329091\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.82861328125001,\n 48.27588152743497\n ],\n [\n -117.31201171875001,\n 48.4146186174932\n ],\n [\n -118.35571289062499,\n 48.65468584817256\n ],\n [\n -119.893798828125,\n 48.87194147722911\n ],\n [\n -120.95947265624999,\n 48.7996273507997\n ],\n [\n -121.51977539062499,\n 48.246625590713826\n ],\n [\n -121.541748046875,\n 47.45780853075031\n ],\n [\n -120.43212890625,\n 46.22545288226939\n ],\n [\n -119.95971679687499,\n 45.9511496866914\n ],\n [\n -118.63037109375,\n 45.867062714815475\n ],\n [\n -117.87231445312499,\n 46.255846818480336\n ],\n [\n -116.94946289062499,\n 46.308995694198565\n ],\n [\n -115.68603515624999,\n 46.34692761055676\n ],\n [\n -115.33447265625,\n 47.18971246448421\n ],\n [\n -115.67504882812501,\n 47.64318610543658\n ],\n [\n -116.4111328125,\n 48.158757304569235\n ],\n [\n -116.82861328125001,\n 48.27588152743497\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2db0e4b0c8380cd5bfb6","contributors":{"authors":[{"text":"Frans, Lonna M. 0000-0002-3217-1862 lmfrans@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-1862","contributorId":1493,"corporation":false,"usgs":true,"family":"Frans","given":"Lonna","email":"lmfrans@usgs.gov","middleInitial":"M.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rupert, Michael G. mgrupert@usgs.gov","contributorId":1194,"corporation":false,"usgs":true,"family":"Rupert","given":"Michael","email":"mgrupert@usgs.gov","middleInitial":"G.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Charles D. Jr. cdhunt@usgs.gov","contributorId":1730,"corporation":false,"usgs":true,"family":"Hunt","given":"Charles","suffix":"Jr.","email":"cdhunt@usgs.gov","middleInitial":"D.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465796,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70038265,"text":"70038265 - 2012 - Combined sewer overflows: an environmental source of hormones and wastewater micropollutants","interactions":[],"lastModifiedDate":"2012-07-27T01:01:50","indexId":"70038265","displayToPublicDate":"2012-07-26T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Combined sewer overflows: an environmental source of hormones and wastewater micropollutants","docAbstract":"Data were collected at a wastewater treatment plant (WWTP) in Burlington, Vermont, USA, (serving 30,000 people) to assess the relative contribution of CSO (combined sewer overflow) bypass flows and treated wastewater effluent to the load of steroid hormones and other wastewater micropollutants (WMPs) from a WWTP to a lake. Flow-weighted composite samples were collected over a 13 month period at this WWTP from CSO bypass flows or plant influent flows (n = 28) and treated effluent discharges (n = 22). Although CSO discharges represent 10% of the total annual water discharge (CSO plus treated plant effluent discharges) from the WWTP, CSO discharges contribute 40–90% of the annual load for hormones and WMPs with high (>90%) wastewater treatment removal efficiency. By contrast, compounds with low removal efficiencies (<90%) have less than 10% of annual load contributed by CSO discharges. Concentrations of estrogens, androgens, and WMPs generally are 10 times higher in CSO discharges compared to treated wastewater discharges. Compound concentrations in samples of CSO discharges generally decrease with increasing flow because of wastewater dilution by rainfall runoff. By contrast, concentrations of hormones and many WMPs in samples from treated discharges can increase with increasing flow due to decreasing removal efficiency.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es3001294","usgsCitation":"Phillips, P.J., Chalmers, A., Gray, J., Kolpin, D., Foreman, W., and Wall, G.R., 2012, Combined sewer overflows: an environmental source of hormones and wastewater micropollutants: Environmental Science & Technology, v. 46, no. 10, p. 5336-5343, https://doi.org/10.1021/es3001294.","productDescription":"8 p.","startPage":"5336","endPage":"5343","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":474406,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3352270","text":"Publisher Index Page"},{"id":259179,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259171,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es3001294","linkFileType":{"id":5,"text":"html"}}],"volume":"46","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-04-27","publicationStatus":"PW","scienceBaseUri":"5059f7dae4b0c8380cd4cd27","contributors":{"authors":[{"text":"Phillips, P. J.","contributorId":31728,"corporation":false,"usgs":true,"family":"Phillips","given":"P.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":463774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalmers, A.T. 0000-0002-5199-8080","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":63576,"corporation":false,"usgs":true,"family":"Chalmers","given":"A.T.","affiliations":[],"preferred":false,"id":463775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, J.L.","contributorId":18566,"corporation":false,"usgs":true,"family":"Gray","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":463773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, D.W.","contributorId":87565,"corporation":false,"usgs":true,"family":"Kolpin","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":463776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foreman, W.T.","contributorId":94684,"corporation":false,"usgs":true,"family":"Foreman","given":"W.T.","email":"","affiliations":[],"preferred":false,"id":463778,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wall, G. R.","contributorId":93652,"corporation":false,"usgs":true,"family":"Wall","given":"G.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":463777,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70039199,"text":"fs20123103 - 2012 - Integrated monitoring of ecological conditions in wetland-upland landscapes","interactions":[],"lastModifiedDate":"2012-07-26T01:02:11","indexId":"fs20123103","displayToPublicDate":"2012-07-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3103","title":"Integrated monitoring of ecological conditions in wetland-upland landscapes","docAbstract":"Landscapes of interwoven wetlands and uplands offer a rich set of ecosystem goods and services. Managing lands to maximize ecosystem services requires information that distinguishes change caused by local actions from broader-scale shifts in climate, land use, and other forms of global change. Satellite and airborne sensors collect valuable data for this purpose, especially when the data are analyzed along with data collected from ground-based sensors. The U.S. Geological Survey (USGS) is using remote sensing technology in this way as part of the Terrestrial Wetland Global Change Research Network to assess effects of climate change interacting with land-use change and other potential stressors along environmental gradients of wetland-upland landscapes in the United States and Canada.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123103","usgsCitation":"Gallant, A., and Sadinski, W., 2012, Integrated monitoring of ecological conditions in wetland-upland landscapes: U.S. Geological Survey Fact Sheet 2012-3103, 2 p., https://doi.org/10.3133/fs20123103.","productDescription":"2 p.","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":259154,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3103.JPG"},{"id":259151,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3103/fs12-3103.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259152,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3103/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c68e4b0c8380cd62cf1","contributors":{"authors":[{"text":"Gallant, Alisa 0000-0002-3029-6637","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":85280,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","affiliations":[],"preferred":false,"id":465768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sadinski, Walt","contributorId":33969,"corporation":false,"usgs":true,"family":"Sadinski","given":"Walt","affiliations":[],"preferred":false,"id":465767,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70039197,"text":"sim3216 - 2012 - Flood-inundation maps for the West Branch Delaware River, Delhi, New York, 2012","interactions":[],"lastModifiedDate":"2012-07-26T01:02:11","indexId":"sim3216","displayToPublicDate":"2012-07-25T00:00:00","publicationYear":"2012","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":"3216","title":"Flood-inundation maps for the West Branch Delaware River, Delhi, New York, 2012","docAbstract":"Digital flood-inundation maps for a 5-mile reach of the West Branch Delaware River through the Village and part of the Town of Delhi, New York, were created by the U.S. Geological Survey (USGS) in cooperation with the Village of Delhi, the Delaware County Soil and Water Conservation District, and the Delaware County Planning Department. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ and the Federal Flood Inundation Mapper Web site at http://wim.usgs.gov/FIMI/FloodInundationMapper.html, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) referenced to the USGS streamgage at West Branch Delaware River upstream from Delhi, N.Y. (station number 01421900).\r\nIn this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model that had been used to produce the flood insurance rate maps for the most recent flood insurance study for the Town and Village of Delhi. This hydraulic model was used to compute 10 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from 7 ft or near bankfull to 16 ft, which exceeds the stages that correspond to both the estimated 0.2-percent annual-exceedance-probability flood (500-year recurrence interval flood) and the maximum recorded peak flow. The simulated water-surface profiles were then combined with a geographic information system (GIS) digital elevation model, which was derived from Light Detection and Ranging (LiDAR) data with a 1.2-ft (0.61-ft root mean squared error) vertical accuracy and 3.3-ft (1-meter) horizontal resolution, to delineate the area flooded at each water level. A map that was produced using this method to delineate the inundated area for the flood that occurred on August 28, 2011, agreed well with highwater marks that had been located in the field using a global positioning system. The availability of the 10 flood-inundation maps on the USGS Flood Inundation Mapping Science Web site, along with Internet information regarding current stage from the USGS streamgage, will provide emergency management personnel and residents with information that is critical for flood-response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3216","usgsCitation":"Coon, W.F., and Breaker, B.K., 2012, Flood-inundation maps for the West Branch Delaware River, Delhi, New York, 2012: U.S. Geological Survey Scientific Investigations Map 3216, Pamphlet: vi, 9 p.; 10 Sheets; Sheet 1: 17 inches x 22 inches, Sheet 2: 17 inches x 22 inches, Sheet 3: 17 inches x 22 inches, Sheet 4: 17 inches x 22 inches, Sheet 5: 17 inches x 22 inches, Sheet 6: 17 inches x 22 inches, Sheet 7: 17 inches x 22 inches, Sheet 8: 17 inches x 22 inches, Sheet 9: 17 inches x 22 inches, Sheet 10: 17 inches x 22 inches; Downloads Directory, https://doi.org/10.3133/sim3216.","productDescription":"Pamphlet: vi, 9 p.; 10 Sheets; Sheet 1: 17 inches x 22 inches, Sheet 2: 17 inches x 22 inches, Sheet 3: 17 inches x 22 inches, Sheet 4: 17 inches x 22 inches, Sheet 5: 17 inches x 22 inches, Sheet 6: 17 inches x 22 inches, Sheet 7: 17 inches x 22 inches, Sheet 8: 17 inches x 22 inches, Sheet 9: 17 inches x 22 inches, Sheet 10: 17 inches x 22 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":259150,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3216.png"},{"id":259153,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259140,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet01.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259142,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet03.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259143,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet04.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259144,"rank":403,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet05.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259145,"rank":404,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet06.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259149,"rank":405,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet10.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259138,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3216/","linkFileType":{"id":5,"text":"html"}},{"id":259139,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3216/downloads/","linkFileType":{"id":5,"text":"html"}},{"id":259141,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet02.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259146,"rank":406,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet07.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259147,"rank":407,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet08.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259148,"rank":408,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet09.pdf","linkFileType":{"id":1,"text":"pdf"}}],"datum":"North American Datum of 1983","country":"United States","state":"New York","county":"Delaware;Schoharie","city":"Delhi","otherGeospatial":"Catskill Mountain;Elk Creek;Falls Creek;Steele Brook","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.930086,42.258028 ], [ -74.930086,42.303232 ], [ -74.872077,42.303232 ], [ -74.872077,42.258028 ], [ -74.930086,42.258028 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1169e4b0c8380cd53fb4","contributors":{"authors":[{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breaker, Brian K. 0000-0002-1985-4992 bbreaker@usgs.gov","orcid":"https://orcid.org/0000-0002-1985-4992","contributorId":4331,"corporation":false,"usgs":true,"family":"Breaker","given":"Brian","email":"bbreaker@usgs.gov","middleInitial":"K.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465766,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70039209,"text":"fs20123069 - 2012 - Assessment of undiscovered, conventional oil and gas resources of Mexico, Guatemala, and Belize, 2012","interactions":[],"lastModifiedDate":"2012-07-26T17:16:17","indexId":"fs20123069","displayToPublicDate":"2012-07-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3069","subseriesTitle":"World Petroleum Resources Project","title":"Assessment of undiscovered, conventional oil and gas resources of Mexico, Guatemala, and Belize, 2012","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated means of 19 billion barrels of oil and 83 trillion cubic feet of undiscovered natural gas resources in 10 geologic provinces of Mexico, Guatemala, and Belize.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123069","collaboration":"World Petroleum Resources Project","usgsCitation":"Schenk, C.J., Brownfield, M.E., Charpentier, R., Cook, T.A., Klett, T., Pitman, J.K., Pollastro, R.M., and Weaver, J.N., 2012, Assessment of undiscovered, conventional oil and gas resources of Mexico, Guatemala, and Belize, 2012: U.S. Geological Survey Fact Sheet 2012-3069, 4 p., https://doi.org/10.3133/fs20123069.","productDescription":"4 p.","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":259155,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3069.JPG"},{"id":259161,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3069/","linkFileType":{"id":5,"text":"html"}},{"id":259162,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3069/FS12-3069.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"Belize;Guatemala;Mexico","otherGeospatial":"Burgos Basin;Campeche-sigsbee Salt Basin;Foldbelt-peten Basin;Macuspana Basin;Saline-comalcalco Basin;Sierra Madre De Chiapas;Tampico-misantla Basin;Tuxla Uplift;Villahermosa Uplift;Yucatan Platform","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102,15 ], [ -102,30 ], [ -85,30 ], [ -85,15 ], [ -102,15 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee81e4b0c8380cd49dc0","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":465781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":465783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":465782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":465785,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":709,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":465779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":465780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pollastro, Richard M.","contributorId":25100,"corporation":false,"usgs":true,"family":"Pollastro","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":465784,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weaver, Jean N.","contributorId":65099,"corporation":false,"usgs":true,"family":"Weaver","given":"Jean","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":465786,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70039185,"text":"sir20125130 - 2012 - Development of regional skews for selected flood durations for the Central Valley Region, California, based on data through water year 2008","interactions":[],"lastModifiedDate":"2012-07-25T01:02:05","indexId":"sir20125130","displayToPublicDate":"2012-07-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5130","title":"Development of regional skews for selected flood durations for the Central Valley Region, California, based on data through water year 2008","docAbstract":"Flood-frequency information is important in the Central Valley region of California because of the high risk of catastrophic flooding. Most traditional flood-frequency studies focus on peak flows, but for the assessment of the adequacy of reservoirs, levees, other flood control structures, sustained flood flow (flood duration) frequency data are needed. This study focuses on rainfall or rain-on-snow floods, rather than the annual maximum, because rain events produce the largest floods in the region. A key to estimating flood-duration frequency is determining the regional skew for such data. Of the 50 sites used in this study to determine regional skew, 28 sites were considered to have little to no significant regulated flows, and for the 22 sites considered significantly regulated, unregulated daily flow data were synthesized by using reservoir storage changes and diversion records. The unregulated, annual maximum rainfall flood flows for selected durations (1-day, 3-day, 7-day, 15-day, and 30-day) for all 50 sites were furnished by the U.S. Army Corps of Engineers. Station skew was determined by using the expected moments algorithm program for fitting the Pearson Type 3 flood-frequency distribution to the logarithms of annual flood-duration data.\r\nBayesian generalized least squares regression procedures used in earlier studies were modified to address problems caused by large cross correlations among concurrent rainfall floods in California and to address the extensive censoring of low outliers at some sites, by using the new expected moments algorithm for fitting the LP3 distribution to rainfall flood-duration data. To properly account for these problems and to develop suitable regional-skew regression models and regression diagnostics, a combination of ordinary least squares, weighted least squares, and Bayesian generalized least squares regressions were adopted. This new methodology determined that a nonlinear model relating regional skew to mean basin elevation was the best model for each flood duration. The regional-skew values ranged from -0.74 for a flood duration of 1-day and a mean basin elevation less than 2,500 feet to values near 0 for a flood duration of 7-days and a mean basin elevation greater than 4,500 feet. This relation between skew and elevation reflects the interaction of snow and rain, which increases with increased elevation. The regional skews are more accurate, and the mean squared errors are less than in the Interagency Advisory Committee on Water Data's National skew map of Bulletin 17B.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125130","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Lamontagne, J.R., Stedinger, J.R., Berenbrock, C., Veilleux, A.G., Ferris, J.C., and Knifong, D.L., 2012, Development of regional skews for selected flood durations for the Central Valley Region, California, based on data through water year 2008: U.S. Geological Survey Scientific Investigations Report 2012-5130, viii, 35 p. Appendices, https://doi.org/10.3133/sir20125130.","productDescription":"viii, 35 p. Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":259128,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5130.gif"},{"id":259123,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5130/","linkFileType":{"id":5,"text":"html"}},{"id":259124,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5130/pdf/sir20125130.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Central Valley;Sierra Nevada Basins;North Coast Ranges Basins;South Coast Ranges Basins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.54,34.28 ], [ -124.54,42.01 ], [ -116.33,42.01 ], [ -116.33,34.28 ], [ -124.54,34.28 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0061e4b0c8380cd4f725","contributors":{"authors":[{"text":"Lamontagne, Jonathan R. 0000-0003-3976-1678","orcid":"https://orcid.org/0000-0003-3976-1678","contributorId":31640,"corporation":false,"usgs":true,"family":"Lamontagne","given":"Jonathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":465752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stedinger, Jery R.","contributorId":76198,"corporation":false,"usgs":true,"family":"Stedinger","given":"Jery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":465753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berenbrock, Charles","contributorId":30598,"corporation":false,"usgs":true,"family":"Berenbrock","given":"Charles","email":"","affiliations":[],"preferred":false,"id":465751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":465750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferris, Justin C. jcferris@usgs.gov","contributorId":4186,"corporation":false,"usgs":true,"family":"Ferris","given":"Justin","email":"jcferris@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":465749,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knifong, Donna L. dknifong@usgs.gov","contributorId":1517,"corporation":false,"usgs":true,"family":"Knifong","given":"Donna","email":"dknifong@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":465748,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70039173,"text":"70039173 - 2012 - Coal-tar-based pavement sealcoat and PAHs: implications for the environment, human health, and stormwater management","interactions":[],"lastModifiedDate":"2020-12-29T20:05:57.911854","indexId":"70039173","displayToPublicDate":"2012-07-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Coal-tar-based pavement sealcoat and PAHs: implications for the environment, human health, and stormwater management","docAbstract":"Coal-tar-based sealcoat products, widely used in the central and eastern U.S. on parking lots, driveways, and even playgrounds, are typically 20−35% coal-tar pitch, a known human carcinogen that contains about 200 polycyclic aromatic hydrocarbon (PAH) compounds. Research continues to identify environmental compartments—including stormwater runoff, lake sediment, soil, house dust, and most recently, air—contaminated by PAHs from coal-tar-based sealcoat and to demonstrate potential risks to biological communities and human health. In many cases, the levels of contamination associated with sealed pavement are striking relative to levels near unsealed pavement: PAH concentrations in air over pavement with freshly applied coal-tar-based sealcoat, for example, were hundreds to thousands of times higher than those in air over unsealed pavement. Even a small amount of sealcoated pavement can be the dominant source of PAHs to sediment in stormwater-retention ponds; proper disposal of such PAH-contaminated sediment can be extremely costly. Several local governments, the District of Columbia, and the State of Washington have banned use of these products, and several national and regional hardware and home-improvement retailers have voluntarily ceased selling them.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/es203699x","usgsCitation":"Mahler, B., Van Metre, P., Crane, J.L., Watts, A.W., Scoggins, M., and Williams, E.S., 2012, Coal-tar-based pavement sealcoat and PAHs: implications for the environment, human health, and stormwater management: Environmental Science & Technology, v. 46, no. 6, p. 3039-3045, https://doi.org/10.1021/es203699x.","productDescription":"7 p.","startPage":"3039","endPage":"3045","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":474407,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3308201","text":"Publisher Index Page"},{"id":381741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-02-13","publicationStatus":"PW","scienceBaseUri":"5059f76be4b0c8380cd4cae8","contributors":{"authors":[{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":465728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Metre, Peter C.","contributorId":34104,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","affiliations":[],"preferred":false,"id":465731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crane, Judy L.","contributorId":73048,"corporation":false,"usgs":true,"family":"Crane","given":"Judy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":465733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watts, Alison W.","contributorId":17084,"corporation":false,"usgs":true,"family":"Watts","given":"Alison","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":465729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scoggins, Mateo","contributorId":29908,"corporation":false,"usgs":true,"family":"Scoggins","given":"Mateo","email":"","affiliations":[],"preferred":false,"id":465730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, E. Spencer","contributorId":53640,"corporation":false,"usgs":true,"family":"Williams","given":"E.","email":"","middleInitial":"Spencer","affiliations":[],"preferred":false,"id":465732,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70154829,"text":"70154829 - 2012 - Assessment and harvest of largemouth bass-bluegill ponds: Chapter 7","interactions":[],"lastModifiedDate":"2017-05-08T13:15:36","indexId":"70154829","displayToPublicDate":"2012-07-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Assessment and harvest of largemouth bass-bluegill ponds: Chapter 7","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Small impoundment management in North America","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","isbn":"978-1-934874-34-9","usgsCitation":"Schramm, H., and Willis, D.W., 2012, Assessment and harvest of largemouth bass-bluegill ponds: Chapter 7, chap. of Small impoundment management in North America.","ipdsId":"IP-027725","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":340942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340941,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/professional-and-trade/55069c/"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b8e4b0e541a03c1a7c","contributors":{"authors":[{"text":"Schramm, Harold Jr. hschramm@usgs.gov","contributorId":145495,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","suffix":"Jr.","email":"hschramm@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":564243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willis, David W.","contributorId":55313,"corporation":false,"usgs":true,"family":"Willis","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":694500,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70039168,"text":"fs20123101 - 2012 - Hydrologic conditions in Georgia, 2010","interactions":[],"lastModifiedDate":"2016-12-07T11:29:15","indexId":"fs20123101","displayToPublicDate":"2012-07-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3101","title":"Hydrologic conditions in Georgia, 2010","docAbstract":"The United States Geological Survey (USGS) Georgia Water Science Center (GaWSC) maintains a long-term hydrologic monitoring network of more than 320 real-time streamgages, including 10 real-time lake-level monitoring stations and 63 real-time water-quality monitors. Additionally, the GaWSC operates more than 180 groundwater wells, 41 of which are real-time. One of the many benefits from this monitoring network is that the data analysis provides an overview of the hydrologic conditions of rivers, creeks, reservoirs, and aquifers in Georgia.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123101","usgsCitation":"Knaak, A.E., Ankcorn, P.D., and Peck, M., 2012, Hydrologic conditions in Georgia, 2010: U.S. Geological Survey Fact Sheet 2012-3101, 6 p., https://doi.org/10.3133/fs20123101.","productDescription":"6 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":259102,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3101.jpg"},{"id":259101,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3101/pdf/fs2012-3101.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259100,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3101/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-84.810477,34.987607],[-83.619985,34.986592],[-83.620185,34.992091],[-83.108714,35.000768],[-83.1046,34.992783],[-83.106991,34.98272],[-83.120387,34.968406],[-83.12114,34.958966],[-83.127035,34.953778],[-83.120502,34.941262],[-83.122585,34.938062],[-83.12807,34.938113],[-83.140621,34.924915],[-83.153253,34.926342],[-83.160937,34.918269],[-83.168524,34.91788],[-83.186541,34.899534],[-83.203351,34.893717],[-83.201183,34.884653],[-83.205627,34.880142],[-83.213323,34.882796],[-83.220099,34.878124],[-83.23751,34.877057],[-83.238419,34.869771],[-83.245602,34.865522],[-83.255718,34.845592],[-83.267656,34.845289],[-83.268159,34.821393],[-83.275656,34.816862],[-83.289914,34.824477],[-83.294292,34.814725],[-83.301368,34.814154],[-83.301182,34.804008],[-83.313782,34.799911],[-83.323866,34.789712],[-83.320062,34.759616],[-83.348829,34.737194],[-83.353238,34.728648],[-83.349411,34.697575],[-83.339029,34.683807],[-83.321463,34.677543],[-83.316401,34.669316],[-83.304641,34.669561],[-83.292883,34.654196],[-83.27796,34.644853],[-83.255281,34.637696],[-83.240669,34.624507],[-83.243381,34.617997],[-83.23178,34.611297],[-83.169994,34.605444],[-83.170278,34.592398],[-83.154577,34.588198],[-83.152577,34.578299],[-83.122901,34.560129],[-83.103987,34.540166],[-83.103176,34.533406],[-83.084855,34.530967],[-83.078113,34.524837],[-83.086861,34.517798],[-83.069451,34.502131],[-83.054463,34.50289],[-83.034712,34.483495],[-83.002924,34.472132],[-82.99509,34.472483],[-82.992671,34.479072],[-82.979568,34.482702],[-82.960668,34.482002],[-82.954667,34.477302],[-82.940867,34.486102],[-82.922866,34.481402],[-82.902665,34.485902],[-82.876864,34.475303],[-82.873831,34.471508],[-82.876464,34.465803],[-82.862156,34.458748],[-82.855762,34.443977],[-82.835004,34.366069],[-82.795223,34.34096],[-82.780308,34.296701],[-82.746656,34.266407],[-82.74192,34.210063],[-82.732761,34.195338],[-82.730824,34.175906],[-82.717507,34.150504],[-82.70414,34.141007],[-82.67732,34.131657],[-82.659077,34.103544],[-82.641553,34.092212],[-82.64398,34.072237],[-82.635991,34.064941],[-82.626963,34.063457],[-82.609655,34.039917],[-82.596155,34.030517],[-82.589245,34.000118],[-82.57554,33.992049],[-82.579576,33.979761],[-82.569864,33.970684],[-82.556835,33.945353],[-82.543128,33.940949],[-82.526741,33.943765],[-82.51295,33.936969],[-82.492929,33.909754],[-82.455105,33.88165],[-82.422803,33.863754],[-82.403881,33.865477],[-82.371775,33.843813],[-82.32448,33.820033],[-82.300213,33.800627],[-82.298286,33.783518],[-82.285804,33.780058],[-82.247472,33.752591],[-82.239098,33.730872],[-82.234576,33.700216],[-82.200718,33.66464],[-82.196583,33.630582],[-82.186154,33.62088],[-82.174351,33.613117],[-82.158331,33.60971],[-82.142872,33.594278],[-82.12908,33.589925],[-82.116545,33.596485],[-82.10624,33.595637],[-82.096352,33.58407],[-82.046335,33.56383],[-82.033023,33.546454],[-82.001338,33.520135],[-81.985938,33.486536],[-81.926336,33.462937],[-81.913356,33.437418],[-81.926789,33.426576],[-81.919217,33.413126],[-81.9373,33.401259],[-81.925737,33.37114],[-81.930634,33.368165],[-81.939637,33.37254],[-81.946337,33.37064],[-81.944737,33.364041],[-81.934837,33.356041],[-81.939737,33.344941],[-81.917973,33.34159],[-81.919137,33.334442],[-81.909285,33.324181],[-81.898187,33.329664],[-81.884137,33.310443],[-81.875836,33.307443],[-81.870436,33.312943],[-81.847296,33.306783],[-81.849636,33.299544],[-81.861536,33.297944],[-81.863236,33.288844],[-81.838257,33.272975],[-81.838337,33.269098],[-81.847336,33.266345],[-81.852136,33.247544],[-81.827936,33.228746],[-81.811736,33.223847],[-81.805236,33.211447],[-81.784535,33.208147],[-81.778935,33.209847],[-81.778435,33.221847],[-81.768935,33.217447],[-81.758235,33.200248],[-81.760635,33.189248],[-81.772435,33.181249],[-81.763135,33.159449],[-81.743835,33.14145],[-81.704634,33.116451],[-81.683533,33.112651],[-81.646433,33.094552],[-81.614298,33.094661],[-81.609476,33.089862],[-81.610078,33.082883],[-81.600211,33.083966],[-81.600091,33.073497],[-81.583804,33.067021],[-81.57288,33.05418],[-81.562066,33.055568],[-81.558336,33.046183],[-81.54251,33.045254],[-81.540081,33.040613],[-81.513231,33.028546],[-81.492253,33.009342],[-81.494736,32.978998],[-81.499471,32.96478],[-81.506449,32.962423],[-81.508436,32.955765],[-81.499446,32.944988],[-81.502427,32.935353],[-81.483198,32.921802],[-81.479184,32.905638],[-81.464069,32.897814],[-81.479445,32.881082],[-81.45392,32.874074],[-81.453949,32.849761],[-81.444866,32.850967],[-81.426475,32.840773],[-81.417984,32.818196],[-81.423772,32.810514],[-81.428313,32.78311],[-81.421128,32.778039],[-81.426481,32.770291],[-81.417606,32.762684],[-81.410845,32.741694],[-81.418542,32.732586],[-81.421194,32.711978],[-81.427517,32.701896],[-81.4131,32.692648],[-81.41075,32.694772],[-81.401256,32.680156],[-81.405273,32.656517],[-81.393818,32.653491],[-81.403582,32.643398],[-81.407271,32.631737],[-81.413411,32.637368],[-81.41866,32.629392],[-81.389338,32.595436],[-81.380999,32.589652],[-81.369757,32.591231],[-81.366964,32.577059],[-81.328753,32.561228],[-81.29676,32.562648],[-81.281324,32.556464],[-81.275213,32.545202],[-81.277131,32.535417],[-81.252882,32.51833],[-81.237095,32.517314],[-81.234023,32.513778],[-81.238281,32.505988],[-81.233585,32.498488],[-81.200029,32.467985],[-81.186829,32.464086],[-81.203046,32.448844],[-81.201595,32.44136],[-81.207246,32.437542],[-81.20513,32.423788],[-81.177231,32.39169],[-81.181072,32.380398],[-81.169332,32.369436],[-81.170858,32.362722],[-81.155136,32.34717],[-81.144032,32.351093],[-81.133632,32.341293],[-81.135733,32.324594],[-81.122933,32.307295],[-81.121433,32.284496],[-81.145834,32.263397],[-81.155995,32.241478],[-81.136727,32.213669],[-81.128283,32.208634],[-81.118234,32.189201],[-81.119361,32.177142],[-81.129634,32.165602],[-81.123134,32.162902],[-81.120034,32.153303],[-81.117234,32.117605],[-81.113334,32.113205],[-81.093386,32.11123],[-81.066906,32.090351],[-81.050234,32.085308],[-81.032674,32.08545],[-81.011961,32.100176],[-81.002297,32.100048],[-80.983133,32.079609],[-80.954482,32.068622],[-80.922794,32.039151],[-80.885517,32.0346],[-80.859111,32.023693],[-80.852276,32.026676],[-80.84313,32.024226],[-80.840549,32.011306],[-80.848441,31.988279],[-80.862814,31.969346],[-80.897687,31.949065],[-80.911207,31.943769],[-80.929101,31.944964],[-80.930279,31.956705],[-80.948491,31.95723],[-80.972392,31.94127],[-80.975714,31.923602],[-80.968494,31.915822],[-80.934508,31.90918],[-80.99269,31.857641],[-81.000317,31.856744],[-81.014478,31.867474],[-81.041548,31.876198],[-81.065255,31.877095],[-81.05907,31.850106],[-81.076178,31.836132],[-81.075812,31.829031],[-81.057181,31.822687],[-81.039808,31.823],[-81.036873,31.812721],[-81.077057,31.761256],[-81.097402,31.753126],[-81.130634,31.722692],[-81.138448,31.720934],[-81.192784,31.733245],[-81.203572,31.719448],[-81.186303,31.701509],[-81.161084,31.691401],[-81.151888,31.698411],[-81.139394,31.699917],[-81.131137,31.695774],[-81.136408,31.674832],[-81.131728,31.654484],[-81.133493,31.623348],[-81.160364,31.570436],[-81.173079,31.555908],[-81.178822,31.55553],[-81.186114,31.568032],[-81.204315,31.568183],[-81.214536,31.557601],[-81.240699,31.552313],[-81.254218,31.55594],[-81.260076,31.54828],[-81.263905,31.532579],[-81.258809,31.52906],[-81.217948,31.527284],[-81.199518,31.537596],[-81.181592,31.527697],[-81.177254,31.517074],[-81.189643,31.503588],[-81.204883,31.473124],[-81.246911,31.422784],[-81.278798,31.367214],[-81.282923,31.326491],[-81.268027,31.324218],[-81.25482,31.315452],[-81.274688,31.289454],[-81.276862,31.254734],[-81.289136,31.225487],[-81.288403,31.211065],[-81.293359,31.206332],[-81.314183,31.207938],[-81.339028,31.186918],[-81.35488,31.167204],[-81.360791,31.155903],[-81.359349,31.149166],[-81.368241,31.136534],[-81.399677,31.134113],[-81.403732,31.107115],[-81.401267,31.072781],[-81.420474,31.016703],[-81.432475,31.012991],[-81.434923,31.017804],[-81.451444,31.015515],[-81.469298,30.996028],[-81.490586,30.984952],[-81.493651,30.977528],[-81.486966,30.969602],[-81.475789,30.965976],[-81.466814,30.97091],[-81.453568,30.965573],[-81.447388,30.956732],[-81.426929,30.956615],[-81.420108,30.974076],[-81.408484,30.977718],[-81.403409,30.957914],[-81.405153,30.908203],[-81.428577,30.836336],[-81.446927,30.81039],[-81.460061,30.769912],[-81.45947,30.741979],[-81.444124,30.709714],[-81.472597,30.713312],[-81.487332,30.726081],[-81.528278,30.723359],[-81.540923,30.713343],[-81.561706,30.715597],[-81.571419,30.721636],[-81.601206,30.728141],[-81.607667,30.721924],[-81.617663,30.722046],[-81.625098,30.733017],[-81.646137,30.727591],[-81.65177,30.732284],[-81.651723,30.740235],[-81.662173,30.746521],[-81.672824,30.738935],[-81.688925,30.741434],[-81.692815,30.7471],[-81.719927,30.744634],[-81.732227,30.749634],[-81.747572,30.766455],[-81.763372,30.77382],[-81.779171,30.768062],[-81.792769,30.784432],[-81.806652,30.789683],[-81.840375,30.786384],[-81.852626,30.794439],[-81.868608,30.792754],[-81.89572,30.821098],[-81.910926,30.815889],[-81.949787,30.827493],[-81.962175,30.818001],[-81.962534,30.796526],[-81.973856,30.778487],[-81.988605,30.780056],[-82.007865,30.792937],[-82.022866,30.787991],[-82.024035,30.783156],[-82.011597,30.763122],[-82.017917,30.755263],[-82.038967,30.749262],[-82.043795,30.729641],[-82.036426,30.706585],[-82.050432,30.676266],[-82.049507,30.655548],[-82.042271,30.649452],[-82.039941,30.637144],[-82.028499,30.621829],[-82.027338,30.606726],[-82.016503,30.602484],[-82.012109,30.593773],[-82.005477,30.563495],[-82.018361,30.531184],[-82.01477,30.513009],[-82.017779,30.475081],[-82.037209,30.434518],[-82.034005,30.422357],[-82.04199,30.403266],[-82.036825,30.377884],[-82.047917,30.363265],[-82.060034,30.360328],[-82.094687,30.360781],[-82.104834,30.368319],[-82.161757,30.357851],[-82.170054,30.358929],[-82.19294,30.378779],[-82.210291,30.42459],[-82.203975,30.444507],[-82.207708,30.460503],[-82.200938,30.474438],[-82.201416,30.485164],[-82.226933,30.510281],[-82.23582,30.537187],[-82.231916,30.55627],[-82.214385,30.566958],[-83.499876,30.645671],[-84.86346,30.711506],[-84.896122,30.750591],[-84.914322,30.753591],[-84.920123,30.76599],[-84.917423,30.77589],[-84.928323,30.79309],[-84.927923,30.80279],[-84.936042,30.820671],[-84.928335,30.844263],[-84.935256,30.854328],[-84.935413,30.882481],[-84.966726,30.917287],[-84.971026,30.928187],[-84.983127,30.934786],[-84.979627,30.954686],[-84.982527,30.965586],[-85.005931,30.97704],[-84.999428,31.013843],[-85.009409,31.032378],[-85.011392,31.053546],[-85.028573,31.074583],[-85.026068,31.08418],[-85.029736,31.096163],[-85.035615,31.108192],[-85.054677,31.120818],[-85.064028,31.142495],[-85.076628,31.156927],[-85.100207,31.16549],[-85.098426,31.17777],[-85.106503,31.185305],[-85.106963,31.202693],[-85.09977,31.209751],[-85.096763,31.225651],[-85.111711,31.258022],[-85.114548,31.276302],[-85.110309,31.281733],[-85.099107,31.284165],[-85.089774,31.295026],[-85.084152,31.328313],[-85.088983,31.334292],[-85.085918,31.353146],[-85.09099,31.354428],[-85.092487,31.362881],[-85.078641,31.39636],[-85.079978,31.410472],[-85.074762,31.424879],[-85.06697,31.428594],[-85.071621,31.468384],[-85.045642,31.516813],[-85.047196,31.528671],[-85.041305,31.540987],[-85.05796,31.57084],[-85.055976,31.605178],[-85.060418,31.611271],[-85.057473,31.618624],[-85.082829,31.637967],[-85.083545,31.656071],[-85.092429,31.659966],[-85.12553,31.694965],[-85.12653,31.716764],[-85.11913,31.730964],[-85.129231,31.758663],[-85.12523,31.767063],[-85.140431,31.779663],[-85.132231,31.795162],[-85.131331,31.817562],[-85.141831,31.839261],[-85.138331,31.844161],[-85.140131,31.858761],[-85.128831,31.87636],[-85.132931,31.89306],[-85.114031,31.89336],[-85.10803,31.90516],[-85.112731,31.909859],[-85.07893,31.940159],[-85.08683,31.957758],[-85.067829,31.967358],[-85.07093,31.981658],[-85.068098,31.991857],[-85.064544,32.002489],[-85.053815,32.013502],[-85.05883,32.046656],[-85.055491,32.072657],[-85.047063,32.090433],[-85.06206,32.132486],[-85.045593,32.143758],[-85.011267,32.180493],[-84.966828,32.193952],[-84.966346,32.208034],[-84.957057,32.21671],[-84.925427,32.221551],[-84.912488,32.247463],[-84.890894,32.261504],[-84.9338,32.29826],[-85.001874,32.322015],[-85.007103,32.328362],[-85.004582,32.345196],[-84.983466,32.363186],[-84.976767,32.392648],[-84.981098,32.402833],[-84.979431,32.412244],[-84.96343,32.422544],[-84.967031,32.435343],[-84.971831,32.442843],[-84.995331,32.453243],[-84.998231,32.469842],[-84.994831,32.486042],[-85.0071,32.523868],[-85.015805,32.528428],[-85.022509,32.542923],[-85.067535,32.579546],[-85.076399,32.594665],[-85.08224,32.616264],[-85.088319,32.623032],[-85.087294,32.634407],[-85.098259,32.642708],[-85.089736,32.655635],[-85.093536,32.669734],[-85.114737,32.685634],[-85.122738,32.715727],[-85.1202,32.737647],[-85.138101,32.753836],[-85.133275,32.780609],[-85.167939,32.811612],[-85.168342,32.828516],[-85.159309,32.841382],[-85.160792,32.848466],[-85.177127,32.853895],[-85.1844,32.861317],[-85.42947,34.125096],[-85.561416,34.750079],[-85.605165,34.984678],[-84.810477,34.987607]]]},\"properties\":{\"name\":\"Georgia\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3591e4b0c8380cd60021","contributors":{"authors":[{"text":"Knaak, Andrew E. 0000-0003-1813-8959 aknaak@usgs.gov","orcid":"https://orcid.org/0000-0003-1813-8959","contributorId":3123,"corporation":false,"usgs":true,"family":"Knaak","given":"Andrew","email":"aknaak@usgs.gov","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ankcorn, Paul D. pankcorn@usgs.gov","contributorId":1447,"corporation":false,"usgs":true,"family":"Ankcorn","given":"Paul","email":"pankcorn@usgs.gov","middleInitial":"D.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Michael F. mfpeck@usgs.gov","contributorId":1467,"corporation":false,"usgs":true,"family":"Peck","given":"Michael F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":465716,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039166,"text":"sir20125113 - 2012 - Methods for determining magnitude and frequency of floods in California, based on data through water year 2006","interactions":[],"lastModifiedDate":"2012-07-24T01:01:47","indexId":"sir20125113","displayToPublicDate":"2012-07-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5113","title":"Methods for determining magnitude and frequency of floods in California, based on data through water year 2006","docAbstract":"Methods for estimating the magnitude and frequency of floods in California that are not substantially affected by regulation or diversions have been updated. Annual peak-flow data through water year 2006 were analyzed for 771 streamflow-gaging stations (streamgages) in California having 10 or more years of data. Flood-frequency estimates were computed for the streamgages by using the expected moments algorithm to fit a Pearson Type III distribution to logarithms of annual peak flows for each streamgage. Low-outlier and historic information were incorporated into the flood-frequency analysis, and a generalized Grubbs-Beck test was used to detect multiple potentially influential low outliers. Special methods for fitting the distribution were developed for streamgages in the desert region in southeastern California. Additionally, basin characteristics for the streamgages were computed by using a geographical information system.\r\nRegional regression analysis, using generalized least squares regression, was used to develop a set of equations for estimating flows with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities for ungaged basins in California that are outside of the southeastern desert region. Flood-frequency estimates and basin characteristics for 630 streamgages were combined to form the final database used in the regional regression analysis. Five hydrologic regions were developed for the area of California outside of the desert region. The final regional regression equations are functions of drainage area and mean annual precipitation for four of the five regions. In one region, the Sierra Nevada region, the final equations are functions of drainage area, mean basin elevation, and mean annual precipitation. Average standard errors of prediction for the regression equations in all five regions range from 42.7 to 161.9 percent.\r\nFor the desert region of California, an analysis of 33 streamgages was used to develop regional estimates of all three parameters (mean, standard deviation, and skew) of the log-Pearson Type III distribution. The regional estimates were then used to develop a set of equations for estimating flows with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities for ungaged basins. The final regional regression equations are functions of drainage area. Average standard errors of prediction for these regression equations range from 214.2 to 856.2 percent.\r\nAnnual peak-flow data through water year 2006 were analyzed for eight streamgages in California having 10 or more years of data considered to be affected by urbanization. Flood-frequency estimates were computed for the urban streamgages by fitting a Pearson Type III distribution to logarithms of annual peak flows for each streamgage. Regression analysis could not be used to develop flood-frequency estimation equations for urban streams because of the limited number of sites. Flood-frequency estimates for the eight urban sites were graphically compared to flood-frequency estimates for 630 non-urban sites.\r\nThe regression equations developed from this study will be incorporated into the U.S. Geological Survey (USGS) StreamStats program. The StreamStats program is a Web-based application that provides streamflow statistics and basin characteristics for USGS streamgages and ungaged sites of interest. StreamStats can also compute basin characteristics and provide estimates of streamflow statistics for ungaged sites when users select the location of a site along any stream in California.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125113","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Gotvald, A.J., Barth, N.A., Veilleux, A.G., and Parrett, C., 2012, Methods for determining magnitude and frequency of floods in California, based on data through water year 2006: U.S. Geological Survey Scientific Investigations Report 2012-5113, vi, 30 p.; Appendix, https://doi.org/10.3133/sir20125113.","productDescription":"vi, 30 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":259103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5113.jpg"},{"id":259098,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5113/","linkFileType":{"id":5,"text":"html"}},{"id":259099,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5113/pdf/sir2012-5113.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a55aee4b0c8380cd6d269","contributors":{"authors":[{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barth, Nancy A. nabarth@usgs.gov","contributorId":3276,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":465708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":465709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrett, Charles","contributorId":9635,"corporation":false,"usgs":true,"family":"Parrett","given":"Charles","email":"","affiliations":[],"preferred":false,"id":465710,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70039163,"text":"ofr20121131 - 2012 - The fluorescent tracer experiment on Holiday Beach near Mugu Canyon, Southern California","interactions":[],"lastModifiedDate":"2012-07-25T01:02:05","indexId":"ofr20121131","displayToPublicDate":"2012-07-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1131","title":"The fluorescent tracer experiment on Holiday Beach near Mugu Canyon, Southern California","docAbstract":"After revisiting sand tracer techniques originally developed in the 1960s, a range of fluorescent coating formulations were tested in the laboratory. Explicit steps are presented for the preparation of the formulation evaluated to have superior attributes, a thermoplastic pigment/dye in a colloidal mixture with a vinyl chloride/vinyl acetate copolymer. In September 2010, 0.59 cubic meters of fluorescent tracer material was injected into the littoral zone about 4 kilometers upcoast of Mugu submarine canyon in California. The movement of tracer was monitored in three dimensions over the course of 4 days using manual and automated techniques. Detailed observations of the tracer's behavior in the coastal zone indicate that this tracer successfully mimicked the native beach sand and similar methods could be used to validate models of tracer movement in this type of environment. Recommendations including how to time successful tracer studies and how to scale the field of view of automated camera systems are presented along with the advantages and disadvantages of the described tracer methodology.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121131","usgsCitation":"Kinsman, N., and Xu, J.P., 2012, The fluorescent tracer experiment on Holiday Beach near Mugu Canyon, Southern California: U.S. Geological Survey Open-File Report 2012-1131, v, 23 p., https://doi.org/10.3133/ofr20121131.","productDescription":"v, 23 p.","onlineOnly":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":259093,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1131/of2012-1131.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259094,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1131/","linkFileType":{"id":5,"text":"html"}},{"id":259096,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1131.gif"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Channel;Mugu Lagoon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bac1de4b08c986b32329f","contributors":{"authors":[{"text":"Kinsman, Nicole","contributorId":95737,"corporation":false,"usgs":true,"family":"Kinsman","given":"Nicole","affiliations":[],"preferred":false,"id":465700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, J. P.","contributorId":74528,"corporation":false,"usgs":true,"family":"Xu","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":465699,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}