{"pageNumber":"1617","pageRowStart":"40400","pageSize":"25","recordCount":184605,"records":[{"id":70039883,"text":"ds714 - 2012 - Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2011","interactions":[],"lastModifiedDate":"2012-09-12T17:16:23","indexId":"ds714","displayToPublicDate":"2012-09-12T00:00:00","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":"714","title":"Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2011","docAbstract":"The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25–40 miles wide. The basin is defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompasses the structural Rio Grande Rift within the basin. Drinking-water supplies throughout the basin were obtained solely from groundwater resources until December 2008, when surface water from the Rio Grande began being treated and integrated into the system. An increase of about 20 percent in the basin human population from 1990 to 2000 and of about 22 percent increase from 2000 to 2010 also resulted in an increased demand for water. A network of wells was established by the U.S. Geological Survey in cooperation with the City of Albuquerque from April 1982 through September 1983 to monitor changes in groundwater levels throughout the basin. This network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly in 1983. Currently (2011), the network consists of 126 wells and piezometers (a piezometer is a specialized well open to a specific depth in the aquifer and is often of small diameter and nested with other piezometers open to different depths). This report presents water-level data collected by U.S. Geological Survey personnel at those 126 sites through water year 2011 to better help the Albuquerque Bernalillo County Water Utility Authority manage water use.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds714","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Beman, J.E., 2012, Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2011: U.S. Geological Survey Data Series 714, iii, 29 p.; col. ill.; maps (col.), https://doi.org/10.3133/ds714.","productDescription":"iii, 29 p.; col. ill.; maps (col.)","startPage":"i","endPage":"29","numberOfPages":"37","additionalOnlineFiles":"N","temporalEnd":"2011-09-30","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":261858,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_714.gif"},{"id":261847,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/714/ds714.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":261846,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/714/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","otherGeospatial":"Albuquerque Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcd5ee4b08c986b32e001","contributors":{"authors":[{"text":"Beman, Joseph E. 0000-0002-0689-029X jebeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-029X","contributorId":2619,"corporation":false,"usgs":true,"family":"Beman","given":"Joseph","email":"jebeman@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467144,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044051,"text":"70044051 - 2012 - Trimming the UCERF2 hazard logic tree","interactions":[],"lastModifiedDate":"2020-09-11T18:32:20.672253","indexId":"70044051","displayToPublicDate":"2012-09-12T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Trimming the UCERF2 hazard logic tree","docAbstract":"The Uniform California Earthquake Rupture Forecast 2 (UCERF2) is a fully time‐dependent earthquake rupture forecast developed with sponsorship of the California Earthquake Authority (Working Group on California Earthquake Probabilities [WGCEP], 2007; Field et al., 2009). UCERF2 contains 480 logic‐tree branches reflecting choices among nine modeling uncertainties in the earthquake rate model shown in Figure 1. For seismic hazard analysis, it is also necessary to choose a ground‐motion‐prediction equation (GMPE) and set its parameters. Choosing among four next‐generation attenuation (NGA) relationships results in a total of 1920 hazard calculations per site. The present work is motivated by a desire to reduce the computational effort involved in a hazard analysis without understating uncertainty. We set out to assess which branching points of the UCERF2 logic tree contribute most to overall uncertainty, and which might be safely ignored (set to only one branch) without significantly biasing results or affecting some useful measure of uncertainty. The trimmed logic tree will have all of the original choices from the branching points that contribute significantly to uncertainty, but only one arbitrarily selected choice from the branching points that do not.","language":"English","doi":"10.1785/0220120012","usgsCitation":"Porter, K.A., Field, E.H., and Milner, K., 2012, Trimming the UCERF2 hazard logic tree: Seismological Research Letters, v. 83, no. 5, p. 815-828, https://doi.org/10.1785/0220120012.","productDescription":"14 p.","startPage":"815","endPage":"828","numberOfPages":"14","ipdsId":"IP-039084","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":272227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-09-06","publicationStatus":"PW","scienceBaseUri":"53cd79afe4b0b2908510cfec","contributors":{"authors":[{"text":"Porter, Keith A.","contributorId":28883,"corporation":false,"usgs":true,"family":"Porter","given":"Keith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":474710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milner, Kevin","contributorId":28886,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin","affiliations":[],"preferred":false,"id":474709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039873,"text":"tm5C3 - 2012 - Methods of analysis-Determination of pesticides in sediment using gas chromatography/mass spectrometry","interactions":[],"lastModifiedDate":"2012-09-12T17:16:23","indexId":"tm5C3","displayToPublicDate":"2012-09-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"5-C3","title":"Methods of analysis-Determination of pesticides in sediment using gas chromatography/mass spectrometry","docAbstract":"A method for the determination of 119 pesticides in environmental sediment samples is described. The method was developed by the U.S. Geological Survey (USGS) in support of the National Water Quality Assessment (NAWQA) Program. The pesticides included in this method were chosen through prior prioritization. Herbicides, insecticides, and fungicides along with degradates are included in this method and span a variety of chemical classes including, but not limited to, chloroacetanilides, organochlorines, organophosphates, pyrethroids, triazines, and triazoles. Sediment samples are extracted by using an accelerated solvent extraction system (ASE®, and the compounds of interest are separated from co-extracted matrix interferences (including sulfur) by passing the extracts through high performance liquid chromatography (HPLC) with gel-permeation chromatography (GPC) along with the use of either stacked graphitized carbon and alumina solid-phase extraction (SPE) cartridges or packed Florisil®. Chromatographic separation, detection, and quantification of the pesticides from the sediment-sample extracts are done by using gas chromatography with mass spectrometry (GC/MS). Recoveries in test sediment samples fortified at 10 micrograms per kilogram (μg/kg) dry weight ranged from 75 to 102 percent; relative standard deviations ranged from 3 to 13 percent. Method detection limits (MDLs), calculated by using U.S. Environmental Protection Agency procedures (40 CFR 136, Appendix B), ranged from 0.6 to 3.4 μg/kg dry weight.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm5C3","usgsCitation":"Hladik, M., and McWayne, M., 2012, Methods of analysis-Determination of pesticides in sediment using gas chromatography/mass spectrometry: U.S. Geological Survey Techniques and Methods 5-C3, vi, 18 p., https://doi.org/10.3133/tm5C3.","productDescription":"vi, 18 p.","numberOfPages":"28","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":261830,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm5c3/pdf/tm5-C3.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":261829,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm5c3/","linkFileType":{"id":5,"text":"html"}},{"id":261835,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_5_c3.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a55f8e4b0c8380cd6d306","contributors":{"authors":[{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":467110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McWayne, Megan M. 0000-0001-8069-6420","orcid":"https://orcid.org/0000-0001-8069-6420","contributorId":22214,"corporation":false,"usgs":true,"family":"McWayne","given":"Megan M.","affiliations":[],"preferred":false,"id":467111,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70039852,"text":"70039852 - 2012 - Abiotic & biotic responses of the Colorado River to controlled floods at Glen Canyon Dam, Arizona, USA","interactions":[],"lastModifiedDate":"2012-09-11T17:16:26","indexId":"70039852","displayToPublicDate":"2012-09-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Abiotic & biotic responses of the Colorado River to controlled floods at Glen Canyon Dam, Arizona, USA","docAbstract":"Closure of Glen Canyon Dam reduced sand supply to the Colorado River in Grand Canyon National Park by about 94% while its operation has also eroded the park's sandbar habitats. Three controlled floods released from the dam since 1995 suggest that sandbars might be rebuilt and maintained, but only if repeated floods are timed to follow tributary sand deliveries below the dam. Monitoring data show that sandbars are dynamic and that their erosion after bar building is positively related with mean daily discharge and negatively related with tributary sand production after controlled floods. The March 2008 flood affected non-native rainbow trout abundance in the Lees Ferry tailwater, which supports a blue ribbon fishery. Downstream trout dispersal from the tailwater results in negative competitive interactions and predation on endangered humpback chub. Early survival rates of age-0 trout increased more than fourfold following the 2008 flood, and twofold in 2009, relative to prior years (2006-2007). Hatch-date analysis indicated that early survival rates were much higher for cohorts that emerged about 2 months after the 2008 flood relative to cohorts that emerged earlier that year. The 2009 survival data suggest that tailwater habitat improvements persisted for at least a year, but apparently decreased in 2010. Increased early survival rates for trout coincided with the increased availability of higher quality drifting food items after the 2008 flood owing to an increase in midges and black flies, preferred food items of rainbow trout. Repeated floods from the dam might sustainably rebuild and maintain sandbars if released when new tributary sand is available below the tailwater. Spring flooding might also sustain increased trout abundance and benefit the tailwater fishery, but also be a potential risk to humpback chub in Grand Canyon.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.1503","usgsCitation":"Korman, J., Melis, T., and Kennedy, T., 2012, Abiotic & biotic responses of the Colorado River to controlled floods at Glen Canyon Dam, Arizona, USA: River Research and Applications, v. 28, no. 6, p. 764-776, https://doi.org/10.1002/rra.1503.","productDescription":"13 p.","startPage":"764","endPage":"776","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":261822,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261818,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1503","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona;Nevada;Utah","otherGeospatial":"Colorado River;Glen Canyon National Recreation Area;Grand Canyon National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115,35 ], [ -115,37.5 ], [ -110,37.5 ], [ -110,35 ], [ -115,35 ] ] ] } } ] }","volume":"28","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-04-18","publicationStatus":"PW","scienceBaseUri":"5059e640e4b0c8380cd472ae","contributors":{"authors":[{"text":"Korman, Josh","contributorId":29922,"corporation":false,"usgs":true,"family":"Korman","given":"Josh","affiliations":[],"preferred":false,"id":467061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melis, Ted","contributorId":76180,"corporation":false,"usgs":true,"family":"Melis","given":"Ted","email":"","affiliations":[],"preferred":false,"id":467062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":3320,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":467060,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039866,"text":"gip140 - 2012 - Freedom of Information Act-Employee responsibilities","interactions":[],"lastModifiedDate":"2012-09-11T17:16:26","indexId":"gip140","displayToPublicDate":"2012-09-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"140","title":"Freedom of Information Act-Employee responsibilities","docAbstract":"The Freedom of Information Act( FOIA), 5 U.S.C. § 552, as amended, generally provides that any person has a right to request access to Federal agency records. The USGS proactively promotes information disclosure as inherent to its mission of providing objective science to inform decisionmakers and the general public. USGS scientists disseminate up-to-date and historical scientific data that are critical to addressing national and global priorities.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip140","usgsCitation":"Newman, D.J., 2012, Freedom of Information Act-Employee responsibilities: U.S. Geological Survey General Information Product 140, 2 p., https://doi.org/10.3133/gip140.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":103,"text":"Administration and Enterprise Information","active":false,"usgs":true}],"links":[{"id":261824,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_140.gif"},{"id":261819,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/140/","linkFileType":{"id":5,"text":"html"}},{"id":261820,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/140/GIP140.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a13c9e4b0c8380cd5479e","contributors":{"authors":[{"text":"Newman, David J. djnewman@usgs.gov","contributorId":3888,"corporation":false,"usgs":true,"family":"Newman","given":"David","email":"djnewman@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":467107,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70039862,"text":"70039862 - 2012 - Freedom of Information Act","interactions":[],"lastModifiedDate":"2012-09-11T17:16:26","indexId":"70039862","displayToPublicDate":"2012-09-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"seriesTitle":{"id":362,"text":"General Information Product","active":false,"publicationSubtype":{"id":6}},"title":"Freedom of Information Act","docAbstract":"The Freedom of Information Act( FOIA), 5 U.S.C.§ 552, as amended, generally provides that any person has a right to request access to Federal agency records. The USGS proactively promotes information disclosure as inherent to its mission of providing objective science to inform decisionmakers and the general public. USGS scientists disseminate up-to-date and historical scientific data that are critical to addressing national and global priorities.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70039862","usgsCitation":"Newman, D., 2012, Freedom of Information Act: General Information Product, 2 p., https://doi.org/10.3133/70039862.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":103,"text":"Administration and Enterprise Information","active":false,"usgs":true}],"links":[{"id":261825,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":261817,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/FOIA/FOIA.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":261816,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/FOIA/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a13c9e4b0c8380cd5479b","contributors":{"authors":[{"text":"Newman, D.J.","contributorId":75003,"corporation":false,"usgs":true,"family":"Newman","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":467090,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70039861,"text":"70039861 - 2012 - Candidatus Renichlamydia lutjani, a Gram-negative bacterium in internal organs of blue striped snapper Lutjanus kasmira from Hawaii","interactions":[],"lastModifiedDate":"2018-02-20T16:10:10","indexId":"70039861","displayToPublicDate":"2012-09-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Candidatus Renichlamydia lutjani, a Gram-negative bacterium in internal organs of blue striped snapper Lutjanus kasmira from Hawaii","title":"Candidatus Renichlamydia lutjani, a Gram-negative bacterium in internal organs of blue striped snapper Lutjanus kasmira from Hawaii","docAbstract":"

The blue-striped snapper Lutjanus kasmira (Perciformes, Lutjanidae) are cosmopolitan in the Indo-Pacific but were introduced into Oahu, Hawaii, USA, in the 1950s and have since colonized most of the archipelago. Studies of microparasites in blue-striped snappers from Hawaii revealed chlamydia-like organisms (CLO) infecting the spleen and kidney, characterized by intracellular basophilic granular inclusions containing Gram-negative and Gimenez-positive bacteria similar in appearance to epitheliocysts when seen under light microscopy. We provide molecular evidence that CLO are a new member of Chlamydiae, i.e. Candidatus Renichlamydia lutjani, that represents the first reported case of chlamydial infection in organs other than the gill in fishes.

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2012 - Sediment fluxes from California Coastal Rivers: the influences of climate, geology, and topography","interactions":[],"lastModifiedDate":"2013-03-17T11:09:53","indexId":"70039853","displayToPublicDate":"2012-09-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2309,"text":"Journal of Geology","active":true,"publicationSubtype":{"id":10}},"title":"Sediment fluxes from California Coastal Rivers: the influences of climate, geology, and topography","docAbstract":"The influences of geologic and climatic factors on erosion and sedimentation processes in rivers draining the western flank of the California Coast Range are assessed. Annual suspended, bedload, and total sediment fluxes were determined for 16 river basins that have hydrologic records covering all or most of the period from 1950 to 2006 and have been relatively unaffected by flow storage, regulation, and depletion, which alter the downstream movement of water and sediment. The occurrence of relatively large annual sediment fluxes are strongly influenced by the El Nino–Southern Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO). The frequency of relatively large annual sediment fluxes decreases from north to south during La Nina phases and increases from north to south during El Nino phases. The influence of ENSO is modulated over a period of decades by the PDO, such that relatively large annual sediment fluxes are more frequent during a La Nina phase in conjunction with a cool PDO and during an El Nino phase in conjunction with a warm PDO. Values of mean annual sediment flux, , were regressed against basin and climatic characteristics. Basin area, bedrock erodibility, basin relief, and precipitation explain 87% of the variation in from the 16 river basins. Bedrock erodibility is the most significant characteristic influencing . Basin relief is a superior predictor of compared with basin slope. is nearly proportional to basin area and increases with increasing precipitation. For a given percentage change, basin relief has a 2.3-fold greater effect on than a similar change in precipitation. The estimated natural from all California coastal rivers for the period 1950–2006 would have been approximately 85 million tons without flow storage, regulation, and depletion; the actual has been approximately 50 million tons, because of the effects of flow storage, regulation, and depletion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of Chicago Press","publisherLocation":"Chicago, IL","usgsCitation":"Andrews, E., and Antweiler, R.C., 2012, Sediment fluxes from California Coastal Rivers: the influences of climate, geology, and topography: Journal of Geology, v. 120, no. 4, p. 349-366.","startPage":"349","endPage":"366","numberOfPages":"18","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":261809,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261808,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/10.1086/665733","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","volume":"120","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8989e4b08c986b316e14","contributors":{"authors":[{"text":"Andrews, E.D.","contributorId":13922,"corporation":false,"usgs":true,"family":"Andrews","given":"E.D.","email":"","affiliations":[],"preferred":false,"id":467064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":467063,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70039855,"text":"70039855 - 2012 - Landscape-level controls on dissolved carbon flux from diverse catchments of the circumboreal","interactions":[],"lastModifiedDate":"2018-01-30T21:05:13","indexId":"70039855","displayToPublicDate":"2012-09-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-level controls on dissolved carbon flux from diverse catchments of the circumboreal","docAbstract":"While much of the dissolved organic carbon (DOC) within rivers is destined for mineralization to CO2, a substantial fraction of riverine bicarbonate (HCO3-) flux represents a CO2 sink, as a result of weathering processes that sequester CO2 as HCO3-. We explored landscape-level controls on DOC and HCO3- flux in subcatchments of the boreal, with a specific focus on the effect of permafrost on riverine dissolved C flux. To do this, we undertook a multivariate analysis that partitioned the variance attributable to known, key regulators of dissolved C flux (runoff, lithology, and vegetation) prior to examining the effect of permafrost, using riverine biogeochemistry data from a suite of subcatchments drawn from the Mackenzie, Yukon, East, and West Siberian regions of the circumboreal. Across the diverse catchments that we study, controls on HCO3- flux were near-universal: runoff and an increased carbonate rock contribution to weathering (assessed as riverwater Ca:Na) increased HCO3- yields, while increasing permafrost extent was associated with decreases in HCO3-. In contrast, permafrost had contrasting and region-specific effects on DOC yield, even after the variation caused by other key drivers of its flux had been accounted for. We used ionic ratios and SO4 yields to calculate the potential range of CO2 sequestered via weathering across these boreal subcatchments, and show that decreasing permafrost extent is associated with increases in weathering-mediated CO2 fixation across broad spatial scales, an effect that could counterbalance some of the organic C mineralization that is predicted with declining permafrost.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Biogeochemical Cycles","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012GB004299","usgsCitation":"Tank, S., Frey, K.E., Striegl, R.G., Raymond, P.A., Holmes, R.M., McClelland, J.W., and Peterson, B.J., 2012, Landscape-level controls on dissolved carbon flux from diverse catchments of the circumboreal: Global Biogeochemical Cycles, v. 26, 15 p.; GB0E02, https://doi.org/10.1029/2012GB004299.","productDescription":"15 p.; GB0E02","numberOfPages":"15","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":474367,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gb004299","text":"Publisher Index Page"},{"id":261810,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261807,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GB004299","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Circumboreal","volume":"26","noUsgsAuthors":false,"publicationDate":"2012-08-21","publicationStatus":"PW","scienceBaseUri":"505a4420e4b0c8380cd668a9","contributors":{"authors":[{"text":"Tank, Suzanne","contributorId":60484,"corporation":false,"usgs":true,"family":"Tank","given":"Suzanne","affiliations":[],"preferred":false,"id":467068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frey, Karen E.","contributorId":66953,"corporation":false,"usgs":true,"family":"Frey","given":"Karen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":467066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raymond, Peter A.","contributorId":47627,"corporation":false,"usgs":true,"family":"Raymond","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":467067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holmes, R. Max","contributorId":7957,"corporation":false,"usgs":true,"family":"Holmes","given":"R.","email":"","middleInitial":"Max","affiliations":[],"preferred":false,"id":467065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McClelland, James W.","contributorId":94905,"corporation":false,"usgs":true,"family":"McClelland","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":467071,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peterson, Bruce J.","contributorId":62453,"corporation":false,"usgs":true,"family":"Peterson","given":"Bruce","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467069,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70039856,"text":"70039856 - 2012 - Effects of wildfire on source-water quality and aquatic ecosystems, Colorado Front Range","interactions":[],"lastModifiedDate":"2018-03-05T17:09:38","indexId":"70039856","displayToPublicDate":"2012-09-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5644,"text":"IAHS Red Book","active":true,"publicationSubtype":{"id":19}},"seriesNumber":"354","title":"Effects of wildfire on source-water quality and aquatic ecosystems, Colorado Front Range","docAbstract":"

Watershed erosion can dramatically increase after wildfire, but limited research has evaluated the corresponding influence on source-water quality. This study evaluated the effects of the Fourmile Canyon wildfire (Colorado Front Range, USA) on source-water quality and aquatic ecosystems using high- frequency sampling. Dissolved organic carbon (DOC) and nutrient loads in stream water were evaluated for a one-year period during different types of runoff events, including spring snowmelt, and both frontal and summer convective storms. DOC export from the burned watershed did not increase relative to the unburned watershed during spring snowmelt, but substantial increases in DOC export were observed during summer convective storms. Elevated nutrient export from the burned watershed was observed during spring snowmelt and summer convective storms, which increased the primary productivity of stream biofilms. Wildfire effects on source-water quality were shown to be substantial following high-intensity storms, with the potential to affect drinking-water treatment processes.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wildfire and water quality: Processes, impacts and challenges (IAHS Red Book no. 354)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Wildfire and Water Quality: Processes, Impacts and Challenges","conferenceDate":"June 11-14, 2012","conferenceLocation":"Banff, AB","language":"English","publisher":"IAHS Publications","publisherLocation":"Oxfordshire, U.K.","isbn":"978-1-907161-32-2","usgsCitation":"Writer, J.H., McCleskey, R.B., and Murphy, S.F., 2012, Effects of wildfire on source-water quality and aquatic ecosystems, Colorado Front Range, in Wildfire and water quality: Processes, impacts and challenges (IAHS Red Book no. 354), v. 354, Banff, AB, June 11-14, 2012, p. 117-122.","productDescription":"8 p.","startPage":"117","endPage":"122","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":261811,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352231,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://iahs.info/Publications-News.do?category=7","text":"IAHS Publications Search"},{"id":261805,"rank":9999,"type":{"id":1,"text":"Abstract"},"url":"https://iahs.info/uploads/dms/16029.354%20Abstracts%2019.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado Front Range","volume":"354","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a06f9e4b0c8380cd514dd","contributors":{"editors":[{"text":"Stone, Mike","contributorId":24267,"corporation":false,"usgs":false,"family":"Stone","given":"Mike","email":"","affiliations":[{"id":34246,"text":"University of Waterloo, Canada","active":true,"usgs":false}],"preferred":false,"id":730287,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Collins, Adrian","contributorId":201050,"corporation":false,"usgs":false,"family":"Collins","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":730288,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Thoms, Martin C. 0000-0002-8074-0476","orcid":"https://orcid.org/0000-0002-8074-0476","contributorId":145710,"corporation":false,"usgs":false,"family":"Thoms","given":"Martin","email":"","middleInitial":"C.","affiliations":[{"id":16205,"text":"Riverine Landscapes Research Laboratory, University of New England, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":730289,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Writer, Jeffrey H. jwriter@usgs.gov","contributorId":1393,"corporation":false,"usgs":true,"family":"Writer","given":"Jeffrey","email":"jwriter@usgs.gov","middleInitial":"H.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":467072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":467073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":467074,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039871,"text":"sir20125182 - 2012 - Trends in selected streamflow statistics at 19 long-term streamflow-gaging stations indicative of outflows from Texas to Arkansas, Louisiana, Galveston Bay, and the Gulf of Mexico, 1922-2009","interactions":[],"lastModifiedDate":"2016-08-08T08:39:10","indexId":"sir20125182","displayToPublicDate":"2012-09-11T00:00:00","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":"2012-5182","title":"Trends in selected streamflow statistics at 19 long-term streamflow-gaging stations indicative of outflows from Texas to Arkansas, Louisiana, Galveston Bay, and the Gulf of Mexico, 1922-2009","docAbstract":"

Trends in selected streamflow statistics during 1922-2009 were evaluated at 19 long-term streamflow-gaging stations considered indicative of outflows from Texas to Arkansas, Louisiana, Galveston Bay, and the Gulf of Mexico. The U.S. Geological Survey, in cooperation with the Texas Water Development Board, evaluated streamflow data from streamflow-gaging stations with more than 50 years of record that were active as of 2009. The outflows into Arkansas and Louisiana were represented by 3 streamflow-gaging stations, and outflows into the Gulf of Mexico, including Galveston Bay, were represented by 16 streamflow-gaging stations. Monotonic trend analyses were done using the following three streamflow statistics generated from daily mean values of streamflow: (1) annual mean daily discharge, (2) annual maximum daily discharge, and (3) annual minimum daily discharge. The trend analyses were based on the nonparametric Kendall's Tau test, which is useful for the detection of monotonic upward or downward trends with time. A total of 69 trend analyses by Kendall's Tau were computed - 19 periods of streamflow multiplied by the 3 streamflow statistics plus 12 additional trend analyses because the periods of record for 2 streamflow-gaging stations were divided into periods representing pre- and post-reservoir impoundment. Unless otherwise described, each trend analysis used the entire period of record for each streamflow-gaging station. The monotonic trend analysis detected 11 statistically significant downward trends, 37 instances of no trend, and 21 statistically significant upward trends. One general region studied, which seemingly has relatively more upward trends for many of the streamflow statistics analyzed, includes the rivers and associated creeks and bayous to Galveston Bay in the Houston metropolitan area. Lastly, the most western river basins considered (the Nueces and Rio Grande) had statistically significant downward trends for many of the streamflow statistics analyzed.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125182","collaboration":"Prepared in cooperation with the Texas Water Development Board","usgsCitation":"Barbie, D.L., and Wehmeyer, L.L., 2012, Trends in selected streamflow statistics at 19 long-term streamflow-gaging stations indicative of outflows from Texas to Arkansas, Louisiana, Galveston Bay, and the Gulf of Mexico, 1922-2009: U.S. Geological Survey Scientific Investigations Report 2012-5182, iv, 20 p., https://doi.org/10.3133/sir20125182.","productDescription":"iv, 20 p.","numberOfPages":"28","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":261833,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5182.gif"},{"id":261827,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5182/pdf/sir2012-5182.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":261826,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5182/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers equal-area projection","datum":"North American Datum of 1983","country":"United States","state":"Arkansas, Colorado, Louisiana, Oklahoma, New Mexico, Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,25.833333333333332 ], [ -109,41 ], [ -89,41 ], [ -89,25.833333333333332 ], [ -109,25.833333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb801e4b08c986b327602","contributors":{"authors":[{"text":"Barbie, Dana L.","contributorId":64632,"corporation":false,"usgs":true,"family":"Barbie","given":"Dana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":467108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wehmeyer, Loren L.","contributorId":90412,"corporation":false,"usgs":true,"family":"Wehmeyer","given":"Loren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":467109,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70039859,"text":"70039859 - 2012 - Effects of flow regime on stream turbidity and suspended solids after wildfire, Colorado Front Range ","interactions":[],"lastModifiedDate":"2018-03-05T17:00:42","indexId":"70039859","displayToPublicDate":"2012-09-11T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5644,"text":"IAHS Red Book","active":true,"publicationSubtype":{"id":19}},"seriesNumber":"354","title":"Effects of flow regime on stream turbidity and suspended solids after wildfire, Colorado Front Range ","docAbstract":"

Wildfires occur frequently in the Colorado Front Range and can alter the hydrological response of watersheds, yet little information exists on the impact of flow regime and storm events on post-wildfire water quality. The flow regime in the region is characterized by base-flow conditions during much of the year and increased runoff during spring snowmelt and summer convective storms. The impact of snowmelt and storm events on stream discharge and water quality was evaluated for about a year after a wildfire near Boulder, Colorado, USA. During spring snowmelt and low-intensity storms, differences in discharge and turbidity at sites upstream and downstream from the burned areas were minimal. However, high-intensity convective storms resulted in dramatic increases in discharge and turbidity at sites downstream from the burned area. This study highlights the importance of using high-frequency sampling to assess accurately wildfire impacts on water quality downstream.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wildfire and water quality: Processes, impacts and challenges (IAHS Red Book no. 354)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Wildfire and Water Quality: Processes, Impacts and Challenges","conferenceDate":"June 11-14, 2012","conferenceLocation":"Banff, AB","language":"English","publisher":"IAHS Publications","publisherLocation":"Oxfordshire, U.K.","isbn":"978-1-907161-32-2","usgsCitation":"Murphy, S.F., McCleskey, R.B., and Writer, J.H., 2012, Effects of flow regime on stream turbidity and suspended solids after wildfire, Colorado Front Range , in Wildfire and water quality: Processes, impacts and challenges (IAHS Red Book no. 354), v. 354, Banff, AB, June 11-14, 2012, p. 51-58.","productDescription":"8 p.","startPage":"51","endPage":"58","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":261812,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":261806,"rank":9999,"type":{"id":1,"text":"Abstract"},"url":"https://iahs.info/uploads/dms/16021.354%20Abstracts%2011.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":352230,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://iahs.info/Publications-News.do?category=7","text":"IAHS Publications Search"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado Front Range","volume":"354","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0844e4b0c8380cd51a55","contributors":{"editors":[{"text":"Stone, Mike","contributorId":24267,"corporation":false,"usgs":false,"family":"Stone","given":"Mike","email":"","affiliations":[{"id":34246,"text":"University of Waterloo, Canada","active":true,"usgs":false}],"preferred":false,"id":730284,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Collins, Adrian","contributorId":201050,"corporation":false,"usgs":false,"family":"Collins","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":730285,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Thoms, Martin C. 0000-0002-8074-0476","orcid":"https://orcid.org/0000-0002-8074-0476","contributorId":145710,"corporation":false,"usgs":false,"family":"Thoms","given":"Martin","email":"","middleInitial":"C.","affiliations":[{"id":16205,"text":"Riverine Landscapes Research Laboratory, University of New England, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":730286,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":467082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":467083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Writer, Jeffrey H. jwriter@usgs.gov","contributorId":1393,"corporation":false,"usgs":true,"family":"Writer","given":"Jeffrey","email":"jwriter@usgs.gov","middleInitial":"H.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":467081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70123992,"text":"70123992 - 2012 - Serologic and molecular evidence for testudinid herpesvirus 2 infection in wild Agassiz’s desert tortoise, Gopherus agassizii","interactions":[],"lastModifiedDate":"2014-09-10T13:37:15","indexId":"70123992","displayToPublicDate":"2012-09-10T13:34:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Serologic and molecular evidence for testudinid herpesvirus 2 infection in wild Agassiz’s desert tortoise, Gopherus agassizii","docAbstract":"Following field observations of wild Agassiz’s desert tortoises (Gopherus agassizii) with oral lesions similar to those seen in captive tortoises with herpesvirus infection, we measured the prevalence of antibodies to Testudinid herpesvirus (TeHV) 3 in wild populations of desert tortoises in California. The survey revealed 30.9% antibody prevalence. In 2009 and 2010, two wild adult male desert tortoises, with gross lesions consistent with trauma and puncture wounds, respectively, were necropsied. Tortoise 1 was from the central Mojave Desert and tortoise 2 was from the northeastern Mojave Desert. We extracted DNA from the tongue of tortoise 1 and from the tongue and nasal mucosa of tortoise 2. Sequencing of polymerase chain reaction products of the herpesviral DNA-dependent DNA polymerase gene and the UL39 gene respectively showed 100% nucleotide identity with TeHV2, which was previously detected in an ill captive desert tortoise in California. Although several cases of herpesvirus infection have been described in captive desert tortoises, our findings represent the first conclusive molecular evidence of TeHV2 infection in wild desert tortoises. The serologic findings support cross-reactivity between TeHV2 and TeHV3. Further studies to determine the ecology, prevalence, and clinical significance of this virus in tortoise populations are needed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Diseases","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/0090-3558-48.3.747","usgsCitation":"Jacobson, E., Berry, K.H., Wellehan, J.F., Origgi, F., Childress, A., Braun, J., Schrenzel, M., Yee, J., and Rideout, B., 2012, Serologic and molecular evidence for testudinid herpesvirus 2 infection in wild Agassiz’s desert tortoise, Gopherus agassizii: Journal of Wildlife Diseases, v. 48, no. 3, p. 747-757, https://doi.org/10.7589/0090-3558-48.3.747.","productDescription":"11 p.","startPage":"747","endPage":"757","ipdsId":"IP-032646","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293613,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.7589/0090-3558-48.3.747"}],"country":"United States","state":"California;Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.9789,34.1607 ], [ -117.9789,37.5219 ], [ -114.7254,37.5219 ], [ -114.7254,34.1607 ], [ -117.9789,34.1607 ] ] ] } } ] }","volume":"48","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541165c4e4b0fe7e184a5569","contributors":{"authors":[{"text":"Jacobson, Elliott R.","contributorId":68630,"corporation":false,"usgs":true,"family":"Jacobson","given":"Elliott R.","affiliations":[],"preferred":false,"id":500533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wellehan, James F. X. Jr.","contributorId":23859,"corporation":false,"usgs":true,"family":"Wellehan","given":"James","suffix":"Jr.","email":"","middleInitial":"F. X.","affiliations":[],"preferred":false,"id":500530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Origgi, Francesco","contributorId":50451,"corporation":false,"usgs":true,"family":"Origgi","given":"Francesco","email":"","affiliations":[],"preferred":false,"id":500531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Childress, April L.","contributorId":21876,"corporation":false,"usgs":true,"family":"Childress","given":"April L.","affiliations":[],"preferred":false,"id":500529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Braun, Josephine","contributorId":62942,"corporation":false,"usgs":true,"family":"Braun","given":"Josephine","affiliations":[],"preferred":false,"id":500532,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schrenzel, Mark","contributorId":88283,"corporation":false,"usgs":true,"family":"Schrenzel","given":"Mark","email":"","affiliations":[],"preferred":false,"id":500534,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yee, Julie","contributorId":10343,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","affiliations":[],"preferred":false,"id":500527,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rideout, Bruce","contributorId":14749,"corporation":false,"usgs":true,"family":"Rideout","given":"Bruce","affiliations":[],"preferred":false,"id":500528,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70123987,"text":"70123987 - 2012 - Phenology, growth, and fecundity as determinants of distribution in closely related nonnative taxa","interactions":[],"lastModifiedDate":"2014-09-10T13:23:45","indexId":"70123987","displayToPublicDate":"2012-09-10T13:11:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Phenology, growth, and fecundity as determinants of distribution in closely related nonnative taxa","docAbstract":"Invasive species researchers often ask: Why do some species invade certain habitats while others do not? Ecological theories predict that taxonomically related species may invade similar habitats, but some related species exhibit contrasting invasion patterns. Brassica nigra, Brassica tournefortii, and Hirschfeldia incana are dominant, closely related nonnative species that have overlapping, but dissimilar, distributions. Brassica tournefortii is rapidly spreading in warm deserts of the southwestern United States, whereas B. nigra and H. incana are primarily limited to semiarid and mesic regions. We compared traits of B. tournefortii that might confer invasiveness in deserts with those of related species that have not invaded desert ecosystems. Brassica tournefortii, B. nigra and H. incana were compared in controlled experiments conducted outdoors in a mesic site (Riverside, CA) and a desert site (Blue Diamond, NV), and in greenhouses, over 3 yr. Desert and mesic B. tournefortii populations were also compared to determine whether locally adapted ecotypes contribute to desert invasion. Experimental variables included common garden sites and soil water availability. Response variables included emergence, growth, phenology, and reproduction. There was no evidence for B. tournefortii ecotypes, but B. tournefortii had a more rapid phenology than B. nigra or H. incana. Brassica tournefortii was less affected by site and water availability than B. nigra and H. incana, but was smaller and less fecund regardless of experimental conditions. Rapid phenology allows B. tournefortii to reproduce consistently under variable, stressful conditions such as those found in Southwestern deserts. Although more successful in milder, mesic ecosystems, B. nigra and H. incana may be limited by their ability to reproduce under desert conditions. Rapid phenology and drought response partition invasion patterns of nonnative mustards along a gradient of aridity in the southwestern United States, and may serve as a predictive trait for other potential invaders of arid and highly variable ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Invasive Plant Science and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Weed Science Society of America","doi":"10.1614/IPSM-D-11-00074.1","usgsCitation":"Marushia, R.G., Brooks, M.L., and Holt, J.S., 2012, Phenology, growth, and fecundity as determinants of distribution in closely related nonnative taxa: Invasive Plant Science and Management, v. 5, no. 2, p. 217-229, https://doi.org/10.1614/IPSM-D-11-00074.1.","productDescription":"13 p.","startPage":"217","endPage":"229","ipdsId":"IP-017727","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293610,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1614/IPSM-D-11-00074.1"}],"country":"United States","state":"California;Nevada","city":"Blue Diamond;Riverside","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.52,33.87 ], [ -117.52,36.06 ], [ -115.36,36.06 ], [ -115.36,33.87 ], [ -117.52,33.87 ] ] ] } } ] }","volume":"5","issue":"2","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"541165c3e4b0fe7e184a5566","contributors":{"authors":[{"text":"Marushia, Robin G.","contributorId":101574,"corporation":false,"usgs":true,"family":"Marushia","given":"Robin","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":500525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holt, Jodie S.","contributorId":59362,"corporation":false,"usgs":true,"family":"Holt","given":"Jodie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":500524,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039849,"text":"sir20125179 - 2012 - Hydrologic and water-quality conditions in the lower Apalachicola-Chattahoochee-Flint and parts of the Aucilla-Suwannee-Ochlockonee River basins in Georgia and adjacent parts of Florida and Alabama during drought conditions, July 2011","interactions":[],"lastModifiedDate":"2017-01-17T20:28:41","indexId":"sir20125179","displayToPublicDate":"2012-09-10T00:00:00","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":"2012-5179","title":"Hydrologic and water-quality conditions in the lower Apalachicola-Chattahoochee-Flint and parts of the Aucilla-Suwannee-Ochlockonee River basins in Georgia and adjacent parts of Florida and Alabama during drought conditions, July 2011","docAbstract":"As part of the U.S. Department of the Interior sustainable water strategy, WaterSMART, the U.S. Geological Survey documented hydrologic and water-quality conditions in the lower Apalachicola-Chattahoochee-Flint and western and central Aucilla-Suwannee-Ochlockonee River basins in Alabama, Florida, and Georgia during low-flow conditions in July 2011. Moderate-drought conditions prevailed in this area during early 2011 and worsened to exceptional by June, with cumulative rainfall departures from the 1981-2010 climate normals registering deficits ranging from 17 to 27 inches. As a result, groundwater levels and stream discharges measured below median daily levels throughout most of 2011. Water-quality field properties including temperature, dissolved oxygen, specific conductance, and pH were measured at selected surface-water sites. Record-low groundwater levels measured in 12 of 43 surficial aquifer wells and 128 of 312 Upper Floridan aquifer wells during July 2011 underscored the severity of drought conditions in the study area. Most wells recorded groundwater levels below the median daily statistic, and 7 surficial aquifer wells were dry. Groundwater-level measurements taken in July 2011 were used to determine the potentiometric surface of the Upper Floridan aquifer. Groundwater generally flows to the south and toward streams except in reaches where streams discharge to the aquifer. The degree of connection between the Upper Floridan aquifer and streams decreases east of the Flint River where thick overburden hydraulically separates the aquifer from stream interaction. Hydraulic separation of the Upper Floridan aquifer from streams located east of the Flint River is shown by stream-stage altitudes that differ from groundwater levels measured in close proximity to streams. Most streams located in the study area during 2011 exhibited below normal flows (streamflows less than the 25th percentile), substantiating the severity of drought conditions that year. Streamflow and springflow measured at 202 sites along 2,122 stream miles during July 20-24, 2011, identified about 286 miles of losing streams, about 1,230 miles of gaining streams, and about 606 miles of streams with no flow. Water-quality field properties measured at 123 stream and 5 spring sites during July 2011 yielded water temperatures ranging from 20.6 to 31.6 degrees Celsius, dissolved oxygen ranging from 0.47 to 9.98 milligrams per liter, specific conductance ranging from 13 to 834 microsiemens per centimeter at 25 degrees Celsius, and pH ranging from 3.6 to 8.03.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125179","usgsCitation":"Gordon, D., Peck, M., and Painter, J.A., 2012, Hydrologic and water-quality conditions in the lower Apalachicola-Chattahoochee-Flint and parts of the Aucilla-Suwannee-Ochlockonee River basins in Georgia and adjacent parts of Florida and Alabama during drought conditions, July 2011: U.S. Geological Survey Scientific Investigations Report 2012-5179, vi, 69 p.; Appendix (1 Map): 20 x 24 inches, https://doi.org/10.3133/sir20125179.","productDescription":"vi, 69 p.; Appendix (1 Map): 20 x 24 inches","numberOfPages":"79","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":261804,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5179.jpg"},{"id":261802,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5179/pdf/sir2012-5179.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":261803,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5179/pdf/sir2012-5179-appendix.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":261801,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5179/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","country":"United States","state":"Alabama, Florida, Georgia","otherGeospatial":"Apalachicola-Chattahoochee-Flint River Basin, Aucilla-Suwannee-Ochlockonee River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.75,29.5 ], [ -85.75,32.5 ], [ -82.75,32.5 ], [ -82.75,29.5 ], [ -85.75,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3560e4b0c8380cd5fe7e","contributors":{"authors":[{"text":"Gordon, Debbie W. 0000-0002-5195-6657","orcid":"https://orcid.org/0000-0002-5195-6657","contributorId":79591,"corporation":false,"usgs":true,"family":"Gordon","given":"Debbie W.","affiliations":[],"preferred":false,"id":467059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":467058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","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":467057,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039847,"text":"ofr20121176 - 2012 - Helicopter electromagnetic survey of the Model Land Area, Southeastern Miami-Dade County, Florida","interactions":[],"lastModifiedDate":"2012-09-08T17:16:16","indexId":"ofr20121176","displayToPublicDate":"2012-09-08T00:00:00","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":"2012-1176","title":"Helicopter electromagnetic survey of the Model Land Area, Southeastern Miami-Dade County, Florida","docAbstract":"This report describes a helicopter electromagnetic survey flown over the Model Land Area in southeastern Miami-Dade County, Florida, to map saltwater intrusion in the Biscayne aquifer. The survey, which is located south and east of Florida City, Florida, covers an area of 115 square kilometers with a flight-line spacing of 400 meters. A five-frequency, horizontal, coplanar bird with frequencies ranging from 400 to 100,000 Hertz was used. The data were interpreted using differential resistivity analysis and inversion to produce cross sections and resistivity depth-slice maps. The depth of investigation is as deep as 100 meters in freshwater-saturated portions of the Biscayne aquifer and the depth diminishes to about 50 meters in areas that are intruded by saltwater. The results compare favorably with ground-based, time-domain electromagnetic soundings and induction logs from observation wells in the area. The base of a high-resistivity, freshwater-saturated zone mapped in the northern 2 kilometers of the survey area corresponds quite well with the base of the surficial aquifer that has been determined by drilling. In general, saltwater in the survey area extends 9 to 12 kilometers inland from the coast; however, there is a long nose of saltwater centered along the Card Sound Road Canal that extends 15 kilometers inland. The cause of this preferential intrusion is likely due to uncontrolled surface flow along the canal and subsequent leakage of saltwater into the aquifer. Saltwater also extends farther inland in the area between U.S. Highway 1 and Card Sound Road than it does to the west of this area. Until 1944, a railroad grade occupied the current location of U.S. Highway 1. Borrow ditches associated with the railroad grade connected to Barnes Sound and allowed saltwater to flow during droughts and storm surges to within a few kilometers of Florida City. Relicts of this saltwater that settled to the bottom of the Biscayne aquifer can be seen in the helicopter electromagnetic data. The area to the west of U.S. Highway 1 is more resistive in the upper 10 meters than the area to the east of the road; this reflects the influence of surface-water flows that are blocked by U.S. Highway 1. Between Card Sound Road and U.S. Highway 1, resistivities are slightly lower compared to adjacent areas. In the southern portion of the survey area, the surficial aquifer underlying the Biscayne aquifer is more resistive; this indicates that it contains fresher water than that found at the base of the Biscayne aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121176","collaboration":"The Downloads Directory link on the index page contains PDFs of Plates 1-39.","usgsCitation":"Fitterman, D.V., Deszcz-Pan, M., and Prinos, S.T., 2012, Helicopter electromagnetic survey of the Model Land Area, Southeastern Miami-Dade County, Florida: U.S. Geological Survey Open-File Report 2012-1176, viii, 77 p.; Downloads Directory (39 Plates), https://doi.org/10.3133/ofr20121176.","productDescription":"viii, 77 p.; Downloads Directory (39 Plates)","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":261780,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1176.gif"},{"id":261775,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1176/","linkFileType":{"id":5,"text":"html"}},{"id":261776,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1176/OF12-1176.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Florida","city":"Miami-dade","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.5,25.25 ], [ -80.5,25.450833333333332 ], [ -80.36666666666666,25.450833333333332 ], [ -80.36666666666666,25.25 ], [ -80.5,25.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3035e4b0c8380cd5d448","contributors":{"authors":[{"text":"Fitterman, David V. dfitterman@usgs.gov","contributorId":1106,"corporation":false,"usgs":true,"family":"Fitterman","given":"David","email":"dfitterman@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":467052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deszcz-Pan, Maria 0000-0002-6298-5314 maryla@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-5314","contributorId":1263,"corporation":false,"usgs":true,"family":"Deszcz-Pan","given":"Maria","email":"maryla@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":467053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prinos, Scott T. 0000-0002-5776-8956 stprinos@usgs.gov","orcid":"https://orcid.org/0000-0002-5776-8956","contributorId":4045,"corporation":false,"usgs":true,"family":"Prinos","given":"Scott","email":"stprinos@usgs.gov","middleInitial":"T.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":467054,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70039848,"text":"ds701 - 2012 - Classifications for Coastal Wetlands Planning, Protection and Restoration Act site-specific projects: 2008 and 2009","interactions":[],"lastModifiedDate":"2012-09-08T17:16:16","indexId":"ds701","displayToPublicDate":"2012-09-08T00:00:00","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":"701","title":"Classifications for Coastal Wetlands Planning, Protection and Restoration Act site-specific projects: 2008 and 2009","docAbstract":"The Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) funds over 100 wetland restoration projects across Louisiana. Integral to the success of CWPPRA is its long-term monitoring program, which enables State and Federal agencies to determine the effectiveness of each restoration effort. One component of this monitoring program is the analysis of high-resolution, color-infrared aerial photography at the U.S. Geological Survey's National Wetlands Research Center in Lafayette, Louisiana. Color-infrared aerial photography (9- by 9-inch) is obtained before project construction and several times after construction. Each frame is scanned on a photogrametric scanner that produces a high-resolution image in Tagged Image File Format (TIFF). By using image-processing software, these TIFF files are then orthorectified and mosaicked to produce a seamless image of a project area and its associated reference area (a control site near the project that has common environmental features, such as marsh type, soil types, and water salinities.) The project and reference areas are then classified according to pixel value into two distinct classes, land and water. After initial land and water ratios have been established by using photography obtained before and after project construction, subsequent comparisons can be made over time to determine land-water change. Several challenges are associated with the land-water interpretation process. Primarily, land-water classifications are often complicated by the presence of floating aquatic vegetation that occurs throughout the freshwater systems of coastal Louisiana and that is sometimes difficult to differentiate from emergent marsh. Other challenges include tidal fluctuations and water movement from strong winds, which may result in flooding and inundation of emergent marsh during certain conditions. Compensating for these events is difficult but possible by using other sources of imagery to verify marsh conditions for other dates in time.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds701","collaboration":"Prepared in cooperation with Coastal Protection and Restoration Authority of Louisiana, U.S. Army Corps of Engineers, U.S. Environmental Protection Agency, U.S. Fish and Wildlife Service, Natural Resources Conservation Service, and National Oceanic and Atmospheric Administration","usgsCitation":"Jones, W.R., and Garber, A., 2012, Classifications for Coastal Wetlands Planning, Protection and Restoration Act site-specific projects: 2008 and 2009: U.S. Geological Survey Data Series 701, iv, 8 p.; 2008 CWPPRA Map PDF: 17 x 11 inches; 2009 CWPPRA Maps (13 Maps) PDF: 54 x 42 inches or smaller, https://doi.org/10.3133/ds701.","productDescription":"iv, 8 p.; 2008 CWPPRA Map PDF: 17 x 11 inches; 2009 CWPPRA Maps (13 Maps) PDF: 54 x 42 inches or smaller","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":261779,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_701.gif"},{"id":261777,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/701/","linkFileType":{"id":5,"text":"html"}},{"id":261778,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/701/CWPPRA_DS_701.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94,29 ], [ -94,33 ], [ -89,33 ], [ -89,29 ], [ -94,29 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f631e4b0c8380cd4c5e9","contributors":{"authors":[{"text":"Jones, William R. 0000-0002-5493-4138 jonesb@usgs.gov","orcid":"https://orcid.org/0000-0002-5493-4138","contributorId":463,"corporation":false,"usgs":true,"family":"Jones","given":"William","email":"jonesb@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":467055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garber, Adrienne 0000-0003-1139-8256 garbera@usgs.gov","orcid":"https://orcid.org/0000-0003-1139-8256","contributorId":464,"corporation":false,"usgs":true,"family":"Garber","given":"Adrienne","email":"garbera@usgs.gov","affiliations":[],"preferred":true,"id":467056,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208439,"text":"70208439 - 2012 - Aspect control of water movement on hillslopes near the rain–snow transition of the Colorado Front Range","interactions":[],"lastModifiedDate":"2020-02-10T10:43:17","indexId":"70208439","displayToPublicDate":"2012-09-07T10:20:48","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":"Aspect control of water movement on hillslopes near the rain–snow transition of the Colorado Front Range","docAbstract":"

In the Colorado Front Range, forested catchments near the rain–snow transition are likely to experience changes in snowmelt delivery and subsurface water transport with climate warming and associated shifts in precipitation patterns. Snowpack dynamics are strongly affected by aspect: Lodgepole pine forested north‐facing slopes develop a seasonal snowpack, whereas Ponderosa pine‐dotted south‐facing slopes experience intermittent snow accumulation throughout winter and spring. We tested the degree to which these contrasting water input patterns cause different near‐surface hydrologic response on north‐facing and south‐facing hillslopes during the snowmelt period. During spring snowmelt, we applied lithium bromide (LiBr) tracer to instrumented plots along a north–south catchment transect. Bromide broke through immediately at 10‐ and 30‐cm depths on the north‐facing slope and was transported out of soil waters within 40 days. On the south‐facing slope, Br− was transported to significant depths only during spring storms and remained above the detection limit throughout the study. Modelling of unsaturated zone hydrologic response using Hydrus‐1D corroborated these aspect‐driven differences in subsurface transport. Our multiple lines of evidence suggest that north‐facing slopes are dominated by connected flow through the soil matrix, whereas south‐facing slope soils experience brief periods of rapid vertical transport following snowmelt events and are drier overall than north‐facing slopes. These differences in hydrologic response were largely a function of energy‐driven differences in water supply, emphasizing the importance of aspect and climate forcing when considering contributions of water and solutes to streamflow in catchments near the snow line. 

","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/hyp.9549","usgsCitation":"Hinckley, E.S., Ebel, B.A., Barnes, R.T., Anderson, R., Williams, M., and Anderson, S., 2012, Aspect control of water movement on hillslopes near the rain–snow transition of the Colorado Front Range: Hydrological Processes, v. 28, no. 1, p. 74-85, https://doi.org/10.1002/hyp.9549.","productDescription":"12 p.","startPage":"74","endPage":"85","ipdsId":"IP-033806","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":372182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado Front Range, Gordon Gulch","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.51681518554688,\n 40.005001798743315\n ],\n [\n -105.43647766113281,\n 40.005001798743315\n ],\n [\n -105.43647766113281,\n 40.0517964064166\n ],\n [\n -105.51681518554688,\n 40.0517964064166\n ],\n [\n -105.51681518554688,\n 40.005001798743315\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Hinckley, Eve-Lyn S.","contributorId":181894,"corporation":false,"usgs":false,"family":"Hinckley","given":"Eve-Lyn","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":781887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":781888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, R. T.","contributorId":181895,"corporation":false,"usgs":false,"family":"Barnes","given":"R.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":781889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, R.S","contributorId":198358,"corporation":false,"usgs":false,"family":"Anderson","given":"R.S","affiliations":[],"preferred":false,"id":781890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, M.W.","contributorId":15565,"corporation":false,"usgs":true,"family":"Williams","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":781891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, S.P.","contributorId":59600,"corporation":false,"usgs":true,"family":"Anderson","given":"S.P.","email":"","affiliations":[],"preferred":false,"id":781892,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70038114,"text":"70038114 - 2012 - Response to \"Comments on 'Theory for source-responsive and free-surface film modeling of unsaturated flow'\"","interactions":[],"lastModifiedDate":"2018-01-12T17:41:16","indexId":"70038114","displayToPublicDate":"2012-09-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Response to \"Comments on 'Theory for source-responsive and free-surface film modeling of unsaturated flow'\"","docAbstract":"

I am grateful to Masciopinto (2012) for raising several issues from my study (Nimmo, 2010) that deserve elaboration or clarification. In this reply, I address these in what I judge to be the order of importance, the main ones being (i) the discrepancy of scales between the two domains that treat preferential and diffuse unsaturated flow, and (ii) the properties that must be evaluated to characterize the medium.

","language":"English","publisher":"Soil Science Society of America","publisherLocation":"Madison, WI","doi":"10.2136/vzj2012.0044","usgsCitation":"Nimmo, J.R., 2012, Response to \"Comments on 'Theory for source-responsive and free-surface film modeling of unsaturated flow'\": Vadose Zone Journal, v. 11, no. 4, https://doi.org/10.2136/vzj2012.0044.","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":261772,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-11-28","publicationStatus":"PW","scienceBaseUri":"505aaa88e4b0c8380cd863ad","contributors":{"authors":[{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","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":463462,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70039839,"text":"ofr20121178 - 2012 - Profile measurements and data from the 2011 Optics, Acoustics, and Stress In Situ (OASIS) project at the Martha's Vineyard Coastal Observatory","interactions":[],"lastModifiedDate":"2012-09-07T17:16:30","indexId":"ofr20121178","displayToPublicDate":"2012-09-07T00:00:00","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":"2012-1178","title":"Profile measurements and data from the 2011 Optics, Acoustics, and Stress In Situ (OASIS) project at the Martha's Vineyard Coastal Observatory","docAbstract":"This report documents data collected by the U.S. Geological Survey (USGS) for the Coastal Model Applications and Field Measurements project under the auspices of the U.S. Navy Office of Naval Research Optics, Acoustics, and Stress In Situ (OASIS) Project. The objective of the measurements was to relate optical and acoustic properties of suspended particles to changes in particle size, concentration, and vertical distribution in the bottom boundary layer near the seafloor caused by wave- and current-induced stresses. This information on the physics of particle resuspension and aggregation and light penetration and water clarity will help improve models of sediment transport, benthic primary productivity, and underwater visibility. There is well-established technology for acoustic profiling, but optical profiles are more difficult to obtain because of the rapid attenuation of light in water. A specially modified tripod with a moving arm was designed to solve this problem by moving instruments vertically in the bottom boundary layer, between the bottom and about 2 meters above the seafloor. The profiling arm was designed, built, and tested during spring and summer 2011 by a team of USGS scientists, engineers, and technicians. To accommodate power requirements and the large data files recorded by some of the optical instruments, the tripod was connected via underwater cable to the Martha's Vineyard Coastal Observatory, operated by the Woods Hole Oceanographic Institution (WHOI). This afforded real-time Internet communication with the embedded computers aboard the tripod. Instruments were mounted on the profiling arm, and additional instruments were mounted elsewhere on the tripod and nearby on the seafloor. The tripod and a small mooring for a profiling current meter were deployed on September 17, 2011, at the Martha's Vineyard Coastal Observatory 12-meter-deep underwater node about 2 kilometers south of Martha's Vineyard, Massachusetts. Divers assisted in the deployment and cleaned the instrument surfaces on the tripod approximately once per week until the tripod and current meter were recovered on October 23, 2011. There was a range of wave and current conditions during the 36-day deployment, including the distant passage of Hurricane Ophelia, several moderate wave events, and a significant local gale that generated wave heights greater than 4 meters at the 12-meter site and knocked over the tripod 3 days before it was recovered. All but one of the instruments functioned well and provided complete datasets. The details of these data and the location of files containing the best basic version of the data are described in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121178","usgsCitation":"Sherwood, C.R., Dickhudt, P., Martini, M.A., Montgomery, E., and Boss, E.S., 2012, Profile measurements and data from the 2011 Optics, Acoustics, and Stress In Situ (OASIS) project at the Martha's Vineyard Coastal Observatory: U.S. Geological Survey Open-File Report 2012-1178, HTML Document, https://doi.org/10.3133/ofr20121178.","productDescription":"HTML Document","onlineOnly":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":261706,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1178.jpg"},{"id":261704,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1178/","linkFileType":{"id":5,"text":"html"}},{"id":261705,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1178/title_page.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Massachusetts","otherGeospatial":"Martha's Vineyard","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.83333333333333,41.25 ], [ -70.83333333333333,41.5 ], [ -70.33333333333333,41.5 ], [ -70.33333333333333,41.25 ], [ -70.83333333333333,41.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8dffe4b0c8380cd7ef6a","contributors":{"authors":[{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dickhudt, Patrick J.","contributorId":48302,"corporation":false,"usgs":true,"family":"Dickhudt","given":"Patrick J.","affiliations":[],"preferred":false,"id":467028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":467026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Montgomery, Ellyn T.","contributorId":78038,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn T.","affiliations":[],"preferred":false,"id":467030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boss, Emmanuel S.","contributorId":48811,"corporation":false,"usgs":true,"family":"Boss","given":"Emmanuel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":467029,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70039840,"text":"sir20125137 - 2012 - Development of a flood-warning system and flood-inundation mapping in Licking County, Ohio","interactions":[],"lastModifiedDate":"2012-09-07T17:16:30","indexId":"sir20125137","displayToPublicDate":"2012-09-07T00:00:00","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":"2012-5137","title":"Development of a flood-warning system and flood-inundation mapping in Licking County, Ohio","docAbstract":"Digital flood-inundation maps for selected reaches of South Fork Licking River, Raccoon Creek, North Fork Licking River, and the Licking River in Licking County, Ohio, were created by the U.S. Geological Survey (USGS), in cooperation with the Ohio Department of Transportation; U.S. Department of Transportation, Federal Highway Administration; Muskingum Watershed Conservancy District; U.S. Department of Agriculture, Natural Resources Conservation Service; and the City of Newark and Village of Granville, Ohio. The inundation maps depict estimates of the areal extent of flooding corresponding to water levels (stages) at the following USGS streamgages: South Fork Licking River at Heath, Ohio (03145173); Raccoon Creek below Wilson Street at Newark, Ohio (03145534); North Fork Licking River at East Main Street at Newark, Ohio (03146402); and Licking River near Newark, Ohio (03146500). The maps were provided to the National Weather Service (NWS) for incorporation into a Web-based flood-warning system that can be used in conjunction with NWS flood-forecast data to show areas of predicted flood inundation associated with forecasted flood-peak stages. As part of the flood-warning streamflow network, the USGS re-installed one streamgage on North Fork Licking River, and added three new streamgages, one each on North Fork Licking River, South Fork Licking River, and Raccoon Creek. Additionally, the USGS upgraded a lake-level gage on Buckeye Lake. Data from the streamgages and lake-level gage can be used by emergency-management personnel, in conjunction with the flood-inundation maps, to help determine a course of action when flooding is imminent. Flood profiles for selected reaches were prepared by calibrating steady-state step-backwater models to selected, established streamgage rating curves. The step-backwater models then were used to determine water-surface-elevation profiles for up to 10 flood stages at a streamgage with corresponding streamflows ranging from approximately the 50 to 0.2-percent chance annual-exceedance probabilities for each of the 4 streamgages that correspond to the flood-inundation maps. The computed flood profiles were used in combination with digital elevation data to delineate flood-inundation areas. Maps of Licking County showing flood-inundation areas overlain on digital orthophotographs are presented for the selected floods. The USGS also developed an unsteady-flow model for a reach of South Fork Licking River for use by the NWS to enhance their ability to provide advanced flood warning in the region north of Buckeye Lake, Ohio. The unsteady-flow model was calibrated based on data from four flooding events that occurred from June 2008 to December 2011. Model calibration was approximate due to the fact that there were unmeasured inflows to the river that were not able to be considered during the calibration. Information on unmeasured inflow derived from NWS hydrologic models and additional flood-event data could enable the NWS to further refine the unsteady-flow model.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125137","collaboration":"39 plates (PDF and JPEG formats) available through the index page link displayed at the top of this record. Prepared in cooperation with the Ohio Department of Transportation; U.S. Department of Transportation, Federal Highway Administration; Muskingum Watershed Conservancy District; U.S. Department of Agriculture, Natural Resources Conservation Service; and the City of Newark and Village of Granville, Ohio","usgsCitation":"Ostheimer, C.J., 2012, Development of a flood-warning system and flood-inundation mapping in Licking County, Ohio: U.S. Geological Survey Scientific Investigations Report 2012-5137, vii, 13 p.; 39 Plates (PDF and JPEG format): 13 x 13 inches or smaller; Downloads Directory, https://doi.org/10.3133/sir20125137.","productDescription":"vii, 13 p.; 39 Plates (PDF and JPEG format): 13 x 13 inches or smaller; Downloads Directory","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":513,"text":"Ohio Water Science 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States","state":"Ohio","county":"Licking","city":"Newark","otherGeospatial":"Buckeye Lake;Licking River;Raccoon Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.7675,40 ], [ -82.7675,40.26777777777777 ], [ -82.18333333333334,40.26777777777777 ], [ -82.18333333333334,40 ], [ -82.7675,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0039e4b0c8380cd4f651","contributors":{"authors":[{"text":"Ostheimer, Chad J. ostheime@usgs.gov","contributorId":2160,"corporation":false,"usgs":true,"family":"Ostheimer","given":"Chad","email":"ostheime@usgs.gov","middleInitial":"J.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":467031,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70039841,"text":"ds697 - 2012 - Digital spatial data for observed, predicted, and misclassification errors for observations in the training dataset for nitrate and arsenic concentrations in basin-fill aquifers in the Southwest Principal Aquifers study area","interactions":[],"lastModifiedDate":"2017-09-20T12:17:59","indexId":"ds697","displayToPublicDate":"2012-09-07T00:00:00","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":"697","title":"Digital spatial data for observed, predicted, and misclassification errors for observations in the training dataset for nitrate and arsenic concentrations in basin-fill aquifers in the Southwest Principal Aquifers study area","docAbstract":"This product \"Digital spatial data for observed, predicted, and misclassification errors for observations in the training dataset for nitrate and arsenic concentrations in basin-fill aquifers in the Southwest Principal Aquifers study area\" is a 1:250,000-scale point spatial dataset developed as part of a regional Southwest Principal Aquifers (SWPA) study (Anning and others, 2012). The study examined the vulnerability of basin-fill aquifers in the southwestern United States to nitrate contamination and arsenic enrichment. Statistical models were developed by using the random forest classifier algorithm to predict concentrations of nitrate and arsenic across a model grid that represents local- and basin-scale measures of source, aquifer susceptibility, and geochemical conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds697","collaboration":"National Water-Quality Assessment Program","usgsCitation":"McKinney, T., and Anning, D.W., 2012, Digital spatial data for observed, predicted, and misclassification errors for observations in the training dataset for nitrate and arsenic concentrations in basin-fill aquifers in the Southwest Principal Aquifers study area: U.S. Geological Survey Data Series 697, Report: iv, 2 p.; Metadata, https://doi.org/10.3133/ds697.","productDescription":"Report: iv, 2 p.; Metadata","numberOfPages":"10","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":261756,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_697.jpg"},{"id":273229,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds697_SWPA_NO3_As_training.xml"},{"id":261748,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/697/","linkFileType":{"id":5,"text":"html"}},{"id":261749,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/697/pdf/ds697.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Nevada, New Mexico, Oregon, Utah","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,31.333333333333332 ], [ -124.4,43 ], [ -105,43 ], [ -105,31.333333333333332 ], [ -124.4,31.333333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a018ae4b0c8380cd4fc4a","contributors":{"authors":[{"text":"McKinney, Tim S.","contributorId":66792,"corporation":false,"usgs":true,"family":"McKinney","given":"Tim S.","affiliations":[],"preferred":false,"id":467033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anning, David W. dwanning@usgs.gov","contributorId":432,"corporation":false,"usgs":true,"family":"Anning","given":"David","email":"dwanning@usgs.gov","middleInitial":"W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467032,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70039844,"text":"sir20125065 - 2012 - Predicted nitrate and arsenic concentrations in basin-fill aquifers of the Southwestern United States","interactions":[],"lastModifiedDate":"2019-12-30T14:29:12","indexId":"sir20125065","displayToPublicDate":"2012-09-07T00:00:00","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":"2012-5065","title":"Predicted nitrate and arsenic concentrations in basin-fill aquifers of the Southwestern United States","docAbstract":"

The National Water-Quality Assessment (NAWQA) Program of the U.S. Geological Survey (USGS) is conducting a regional analysis of water quality in the principal aquifer systems across the United States. The Southwest Principal Aquifers (SWPA) study is building a better understanding of the susceptibility and vulnerability of basin-fill aquifers in the region to groundwater contamination by synthesizing baseline knowledge of groundwater-quality conditions in 16 basins previously studied by the NAWQA Program. The improved understanding of aquifer susceptibility and vulnerability to contamination is assisting in the development of tools that water managers can use to assess and protect the quality of groundwater resources.

Human-health concerns and economic considerations associated with meeting drinking-water standards motivated a study of the vulnerability of basin-fill aquifers to nitrate con­tamination and arsenic enrichment in the southwestern United States. Statistical models were developed by using the random forest classifier algorithm to predict concentrations of nitrate and arsenic across a model grid that represents about 190,600 square miles of basin-fill aquifers in parts of Arizona, California, Colorado, Nevada, New Mexico, and Utah. The statistical models, referred to as classifiers, reflect natural and human-related factors that affect aquifer vulnerability to contamina­tion and relate nitrate and arsenic concentrations to explana­tory variables representing local- and basin-scale measures of source, aquifer susceptibility, and geochemical conditions. The classifiers were unbiased and fit the observed data well, and misclassifications were primarily due to statistical sampling error in the training datasets.

The classifiers were designed to predict concentrations to be in one of six classes for nitrate, and one of seven classes for arsenic. Each classification scheme allowed for identification of areas with concentrations that were equal to or exceeding the U.S. Environmental Protection Agency drinking-water standard. Whereas 2.4 percent of the area underlain by basin-fill aquifers in the study area was predicted to equal or exceed this standard for nitrate (10 milligrams per liter as N; mg/L), 42.7 percent was predicted to equal or exceed the standard for arsenic (10 micrograms per liter; μg/L). Areas predicted to equal or exceed the drinking-water standard for nitrate include basins in central Arizona near Phoenix; the San Joaquin, Inland, and San Jacinto basins of California; and the San Luis Valley of Colorado. Much of the area predicted to equal or exceed the drinking-water standard for arsenic is within a belt of basins along the western portion of the Basin and Range Physiographic Province in Nevada, California, and Arizona. Predicted nitrate and arsenic concentrations are substantially lower than the drinking-water standards in much of the study area—about 93.0 percent of the area underlain by basin-fill aquifers was less than one-half the standard for nitrate (5.0 mg/L), and 50.2 percent was less than one-half the standard for arsenic (5.0 μg/L).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125065","usgsCitation":"Anning, D.W., Paul, A.P., McKinney, T., Huntington, J.M., Bexfield, L.M., and Thiros, S.A., 2012, Predicted nitrate and arsenic concentrations in basin-fill aquifers of the Southwestern United States: U.S. Geological Survey Scientific Investigations Report 2012-5065, Report: viii, 115 p.; Metadata; Appendices 1, 2, 8-17, https://doi.org/10.3133/sir20125065.","productDescription":"Report: viii, 115 p.; Metadata; Appendices 1, 2, 8-17","numberOfPages":"128","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science 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The study examined the vulnerability of basin-fill aquifers in the southwestern United States to nitrate contamination and arsenic enrichment. Statistical models were developed by using the random forest classifier algorithm to predict concentrations of nitrate and arsenic across a model grid that represents local- and basin-scale measures of source, aquifer susceptibility, and geochemical conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds698","collaboration":"National Water-Quality Assessment Program","usgsCitation":"McKinney, T., and Anning, D.W., 2012, Digital spatial data for predicted nitrate and arsenic concentrations in basin-fill aquifers of the Southwest Principal Aquifers study area: U.S. Geological Survey Data Series 698, iv, 2 p., https://doi.org/10.3133/ds698.","productDescription":"iv, 2 p.","numberOfPages":"10","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":261757,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_698.jpg"},{"id":261750,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/698/","linkFileType":{"id":5,"text":"html"}},{"id":261751,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/698/pdf/ds698.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Nevada, New Mexico, Oregon, Utah","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,31.333333333333332 ], [ -124.4,43 ], [ -105,43 ], [ -105,31.333333333333332 ], [ -124.4,31.333333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a018be4b0c8380cd4fc4d","contributors":{"authors":[{"text":"McKinney, Tim S.","contributorId":66792,"corporation":false,"usgs":true,"family":"McKinney","given":"Tim S.","affiliations":[],"preferred":false,"id":467035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anning, David W. dwanning@usgs.gov","contributorId":432,"corporation":false,"usgs":true,"family":"Anning","given":"David","email":"dwanning@usgs.gov","middleInitial":"W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":467034,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70039828,"text":"ofr20121200 - 2012 - Survival and migration route probabilities of juvenile Chinook salmon in the Sacramento-San Joaquin River Delta during the winter of 2009-10","interactions":[],"lastModifiedDate":"2016-05-03T16:12:39","indexId":"ofr20121200","displayToPublicDate":"2012-09-06T00:00:00","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":"2012-1200","title":"Survival and migration route probabilities of juvenile Chinook salmon in the Sacramento-San Joaquin River Delta during the winter of 2009-10","docAbstract":"

Juvenile Chinook salmon (Oncorhynchus tshawytscha) emigrating from natal tributaries of the Sacramento River may use a number of migration routes to negotiate the Sacramento-San Joaquin River Delta (hereafter, \"the Delta\"), each of which may influence their probability of surviving. We applied a mark-recapture model to data from acoustically tagged juvenile late-fall Chinook salmon that migrated through the Delta during the winter of 2009-10 (hereafter, 2010). This report presents findings from our fourth year of research. We estimated route-specific survival for four release groups: two release groups that migrated through the Delta in December 2009 and January 2010, and two release groups that migrated during February 2010. Population-level survival through the Delta (SDelta) ranged from 0.374 (SE = 0.040) to 0.524 (SE = 0.034) among releases. Although river flows for the February release groups were substantially higher (20,000-40,000 ft3/s at Freeport) than for the December release groups (about 10,000 ft3/s), SDelta did not differ considerably between release groups. Among migration routes, fish migrating through the Sacramento River exhibited the highest survival, and fish entering the interior Delta exhibited the lowest survival. Fish entering Sutter and Steamboat Sloughs had lower survival than fish entering the Sacramento River during December, but similar survival during February. These patterns were consistent among release groups, and strikingly similar to patterns observed in previous years. Migration routing varied among release groups partly because of differences in river discharge between releases. For the two December release groups, 26.5 and 28.9 percent of fish entered the interior Delta; for the two February release groups, 10.4 and 17.9 percent of fish entered the interior Delta. Differences in routing probabilities between December and February are partly related to the inverse relationship between flow and the fraction of discharge entering the interior Delta. The proportion of fish diverted into the interior Delta also can be affected by the status of the Delta Cross Channel's gates. The fraction of fish entering Sutter and Steamboat Sloughs also varied considerably among release groups from 22.1 to 44.7 percent, and did not appear correlated to river discharge. For example, the lowest and highest proportion of fish entering Sutter and Steamboat Sloughs occurred during February. Because fish entering Sutter and Steamboat Sloughs bypass the entrance to the interior Delta, a high proportion of fish migrating into this route reduces the proportion of fish entering the interior Delta.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121200","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service. Other contributors: U.S. Army Corps of Engineers and University of California at Davis","usgsCitation":"Perry, R.W., Romine, J.G., Brewer, S.J., LaCivita, P.E., Brostoff, W.N., and Chapman, E.D., 2012, Survival and migration route probabilities of juvenile Chinook salmon in the Sacramento-San Joaquin River Delta during the winter of 2009-10: U.S. Geological Survey Open-File Report 2012-1200, iv, 30 p., https://doi.org/10.3133/ofr20121200.","productDescription":"iv, 30 p.","numberOfPages":"38","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":261696,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1200.jpg"},{"id":261691,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1200/","linkFileType":{"id":5,"text":"html"}},{"id":261692,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1200/pdf/ofr20121200.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"California","city":"Sacramento","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.25,37.75 ], [ -122.25,38.583333333333336 ], [ -121.36666666666666,38.583333333333336 ], [ -121.36666666666666,37.75 ], [ -122.25,37.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba2b3e4b08c986b31f8c8","contributors":{"authors":[{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":467006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":467007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Scott J. sbrewer@usgs.gov","contributorId":4407,"corporation":false,"usgs":true,"family":"Brewer","given":"Scott","email":"sbrewer@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":467008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaCivita, Peter E.","contributorId":101507,"corporation":false,"usgs":true,"family":"LaCivita","given":"Peter","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467011,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brostoff, William N.","contributorId":52828,"corporation":false,"usgs":true,"family":"Brostoff","given":"William","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":467010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chapman, Eric D.","contributorId":34377,"corporation":false,"usgs":true,"family":"Chapman","given":"Eric","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":467009,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}