{"pageNumber":"319","pageRowStart":"7950","pageSize":"25","recordCount":16506,"records":[{"id":70025092,"text":"70025092 - 2003 - Entropy and generalized least square methods in assessment of the regional value of streamgages","interactions":[],"lastModifiedDate":"2012-03-12T17:20:26","indexId":"70025092","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Entropy and generalized least square methods in assessment of the regional value of streamgages","docAbstract":"The Illinois State Water Survey performed a study to assess the streamgaging network in the State of Illinois. One of the important aspects of the study was to assess the regional value of each station through an assessment of the information transfer among gaging records for low, average, and high flow conditions. This analysis was performed for the main hydrologic regions in the State, and the stations were initially evaluated using a new approach based on entropy analysis. To determine the regional value of each station within a region, several information parameters, including total net information, were defined based on entropy. Stations were ranked based on the total net information. For comparison, the regional value of the same stations was assessed using the generalized least square regression (GLS) method, developed by the US Geological Survey. Finally, a hybrid combination of GLS and entropy was created by including a function of the negative net information as a penalty function in the GLS. The weights of the combined model were determined to maximize the average correlation with the results of GLS and entropy. The entropy and GLS methods were evaluated using the high-flow data from southern Illinois stations. The combined method was compared with the entropy and GLS approaches using the high-flow data from eastern Illinois stations. ?? 2003 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/S0022-1694(03)00244-0","issn":"00221694","usgsCitation":"Markus, M., Vernon, K.H., and Tasker, G.D., 2003, Entropy and generalized least square methods in assessment of the regional value of streamgages: Journal of Hydrology, v. 283, no. 1-4, p. 107-121, https://doi.org/10.1016/S0022-1694(03)00244-0.","startPage":"107","endPage":"121","numberOfPages":"15","costCenters":[],"links":[{"id":235985,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":209483,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0022-1694(03)00244-0"}],"volume":"283","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0983e4b0c8380cd51f57","contributors":{"authors":[{"text":"Markus, M.","contributorId":54781,"corporation":false,"usgs":true,"family":"Markus","given":"M.","email":"","affiliations":[],"preferred":false,"id":403795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vernon, Knapp H.","contributorId":91287,"corporation":false,"usgs":true,"family":"Vernon","given":"Knapp","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":403797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tasker, Gary D.","contributorId":83097,"corporation":false,"usgs":true,"family":"Tasker","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":403796,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70025072,"text":"70025072 - 2003 - Geology of the MER 2003 \"Elysium\" candidate landing site in southeastern Utopia Planitia, Mars","interactions":[],"lastModifiedDate":"2018-12-05T09:03:27","indexId":"70025072","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Geology of the MER 2003 \"Elysium\" candidate landing site in southeastern Utopia Planitia, Mars","docAbstract":"<p>The NASA Mars Exploration Rover (MER) Project has been considering a landing-site ellipse designated EP78B2 in southeastern Utopia Planitia, southwest of Elysium Mons. The site appears to be relatively safe for a MER landing site because of its predicted low wind velocities in mesoscale atmospheric circulation models and its low surface roughness at various scales as indicated by topographic and imaging data sets. Previously, the site's surface rocks have been interpreted to be marine sediments or lava flows. In addition, we suggest that Late Noachian to Early Hesperian collapse and mass wasting of Noachian highland rocks contributed to the deposition of detritus in the area of the ellipse. Furthermore, we document partial Late Hesperian to Early Amazonian resurfacing of the ellipse by flows and vents that may be of mud or silicate volcanic origin. A rover investigation of the Utopia landing site using the MER Athena instrument package might address some fundamental aspects of Martian geologic evolution, such as climate change, hydrologic evolution, and magmatic and tectonic history.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2003JE002054","issn":"01480227","usgsCitation":"Tanaka, K.L., Carr, M.H., Skinner, J., Gilmore, M.S., and Hare, T.M., 2003, Geology of the MER 2003 \"Elysium\" candidate landing site in southeastern Utopia Planitia, Mars: Journal of Geophysical Research E: Planets, v. 108, no. E12, 19 p., https://doi.org/10.1029/2003JE002054.","productDescription":"19 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":478549,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2003je002054","text":"Publisher Index Page"},{"id":235720,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars; Utopia Planitia","volume":"108","issue":"E12","noUsgsAuthors":false,"publicationDate":"2003-11-21","publicationStatus":"PW","scienceBaseUri":"505a25fae4b0c8380cd58cf7","contributors":{"authors":[{"text":"Tanaka, Kenneth L. ktanaka@usgs.gov","contributorId":610,"corporation":false,"usgs":true,"family":"Tanaka","given":"Kenneth","email":"ktanaka@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":403699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carr, Michael H.","contributorId":61894,"corporation":false,"usgs":true,"family":"Carr","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":403702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skinner, James A. 0000-0002-3644-7010 jskinner@usgs.gov","orcid":"https://orcid.org/0000-0002-3644-7010","contributorId":3187,"corporation":false,"usgs":true,"family":"Skinner","given":"James A.","email":"jskinner@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":403703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilmore, Martha S.","contributorId":211064,"corporation":false,"usgs":false,"family":"Gilmore","given":"Martha","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":403700,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":403701,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70025068,"text":"70025068 - 2003 - Application of two hydrologic models with different runoff mechanisms to a hillslope dominated watershed in the northeastern US: A comparison of HSPF and SMR","interactions":[],"lastModifiedDate":"2012-03-12T17:20:27","indexId":"70025068","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Application of two hydrologic models with different runoff mechanisms to a hillslope dominated watershed in the northeastern US: A comparison of HSPF and SMR","docAbstract":"Differences in the simulation of hydrologic processes by watershed models directly affect the accuracy of results. Surface runoff generation can be simulated as either: (1) infiltration-excess (or Hortonian) overland flow, or (2) saturation-excess overland flow. This study compared the Hydrological Simulation Program - FORTRAN (HSPF) and the Soil Moisture Routing (SMR) models, each representing one of these mechanisms. These two models were applied to a 102 km2 watershed in the upper part of the Irondequoit Creek basin in central New York State over a seven-year simulation period. The models differed in both the complexity of simulating snowmelt and baseflow processes as well as the detail in which the geographic information was preserved by each model. Despite their differences in structure and representation of hydrologic processes, the two models simulated streamflow with almost equal accuracy. Since streamflow is an integral response and depends mainly on the watershed water balance, this was not unexpected. Model efficiency values for the seven-year simulation period were 0.67 and 0.65 for SMR and HSPF, respectively. HSPF simulated winter streamflow slightly better than SMR as a result of its complex snowmelt routine, whereas SMR simulated summer flows better than HSPF as a result of its runoff and baseflow processes. An important difference between model results was the ability to predict the spatial distribution of soil moisture content. HSPF aggregates soil moisture content, which is generally related to a specific pervious land unit across the entire watershed, whereas SMR predictions of moisture content distribution are geographically specific and matched field observations reasonably well. Important is that the saturated area was predicted well by SMR and confirmed the validity of using saturation-excess mechanisms for this hillslope dominated watershed. ?? 2003 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2003.07.005","issn":"00221694","usgsCitation":"Johnson, M., Coon, W., Mehta, V., Steenhuis, T., Brooks, E., and Boll, J., 2003, Application of two hydrologic models with different runoff mechanisms to a hillslope dominated watershed in the northeastern US: A comparison of HSPF and SMR: Journal of Hydrology, v. 284, no. 1-4, p. 57-76, https://doi.org/10.1016/j.jhydrol.2003.07.005.","startPage":"57","endPage":"76","numberOfPages":"20","costCenters":[],"links":[{"id":209352,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2003.07.005"},{"id":235681,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"284","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ecbfe4b0c8380cd49468","contributors":{"authors":[{"text":"Johnson, M.S.","contributorId":49382,"corporation":false,"usgs":true,"family":"Johnson","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":403687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coon, W.F.","contributorId":102524,"corporation":false,"usgs":true,"family":"Coon","given":"W.F.","email":"","affiliations":[],"preferred":false,"id":403689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mehta, V.K.","contributorId":31183,"corporation":false,"usgs":true,"family":"Mehta","given":"V.K.","email":"","affiliations":[],"preferred":false,"id":403686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steenhuis, T.S.","contributorId":66041,"corporation":false,"usgs":true,"family":"Steenhuis","given":"T.S.","affiliations":[],"preferred":false,"id":403688,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, E.S.","contributorId":22547,"corporation":false,"usgs":true,"family":"Brooks","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":403685,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boll, J.","contributorId":15812,"corporation":false,"usgs":true,"family":"Boll","given":"J.","email":"","affiliations":[],"preferred":false,"id":403684,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70025024,"text":"70025024 - 2003 - Fluorescence excitation-emission matrix regional integration to quantify spectra for dissolved organic matter","interactions":[],"lastModifiedDate":"2020-01-05T14:51:18","indexId":"70025024","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Fluorescence excitation-emission matrix regional integration to quantify spectra for dissolved organic matter","docAbstract":"<div class=\"article_abstract\"><div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Excitation−emission matrix (EEM) fluorescence spectroscopy has been widely used to characterize dissolved organic matter (DOM) in water and soil. However, interpreting the &gt;10,000 wavelength-dependent fluorescence intensity data points represented in EEMs has posed a significant challenge. Fluorescence regional integration, a quantitative technique that integrates the volume beneath an EEM, was developed to analyze EEMs. EEMs were delineated into five excitation−emission regions based on fluorescence of model compounds, DOM fractions, and marine waters or freshwaters. Volumetric integration under the EEM within each region, normalized to the projected excitation−emission area within that region and dissolved organic carbon concentration, resulted in a normalized region-specific EEM volume (Φ<i><sub>i</sub></i><sub>,n</sub>). Solid-state carbon nuclear magnetic resonance (<sup>13</sup>C NMR), Fourier transform infrared (FTIR) analysis, ultraviolet−visible absorption spectra, and EEMs were obtained for standard Suwannee River fulvic acid and 15 hydrophobic or hydrophilic acid, neutral, and base DOM fractions plus nonfractionated DOM from wastewater effluents and rivers in the southwestern United States. DOM fractions fluoresced in one or more EEM regions. The highest cumulative EEM volume (Φ<sub>T,n</sub><span>&nbsp;</span>= ΣΦ<i><sub>i</sub></i><sub>,n</sub>) was observed for hydrophobic neutral DOM fractions, followed by lower Φ<sub>T,n</sub><span>&nbsp;</span>values for hydrophobic acid, base, and hydrophilic acid DOM fractions, respectively. An extracted wastewater biomass DOM sample contained aromatic protein- and humic-like material and was characteristic of bacterial-soluble microbial products. Aromatic carbon and the presence of specific aromatic compounds (as indicated by solid-state<span>&nbsp;</span><sup>13</sup>C NMR and FTIR data) resulted in EEMs that aided in differentiating wastewater effluent DOM from drinking water DOM.</p></div></div></div></div></div>","language":"English","publisher":"ACS","doi":"10.1021/es034354c","issn":"0013936X","usgsCitation":"Chen, W., Westerhoff, P., Leenheer, J., and Booksh, K., 2003, Fluorescence excitation-emission matrix regional integration to quantify spectra for dissolved organic matter: Environmental Science & Technology, v. 37, no. 24, p. 5701-5710, https://doi.org/10.1021/es034354c.","productDescription":"10 p.","startPage":"5701","endPage":"5710","numberOfPages":"10","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":233334,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"24","noUsgsAuthors":false,"publicationDate":"2003-11-15","publicationStatus":"PW","scienceBaseUri":"505a127fe4b0c8380cd54327","contributors":{"authors":[{"text":"Chen, W.","contributorId":31165,"corporation":false,"usgs":true,"family":"Chen","given":"W.","email":"","affiliations":[],"preferred":false,"id":403474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westerhoff, P.","contributorId":44685,"corporation":false,"usgs":true,"family":"Westerhoff","given":"P.","email":"","affiliations":[],"preferred":false,"id":403475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leenheer, J.A.","contributorId":75123,"corporation":false,"usgs":true,"family":"Leenheer","given":"J.A.","affiliations":[],"preferred":false,"id":403476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booksh, K.","contributorId":27644,"corporation":false,"usgs":true,"family":"Booksh","given":"K.","email":"","affiliations":[],"preferred":false,"id":403473,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70024979,"text":"70024979 - 2003 - Reduction of elemental selenium to selenide: Experiments with anoxic sediments and bacteria that respire Se-oxyanions","interactions":[],"lastModifiedDate":"2018-11-19T10:00:35","indexId":"70024979","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1800,"text":"Geomicrobiology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Reduction of elemental selenium to selenide: Experiments with anoxic sediments and bacteria that respire Se-oxyanions","docAbstract":"<p><span>A selenite-respiring bacterium,&nbsp;</span><i>Bacillus selenitireducens</i><span>, produced significant levels of Se(-II) (as aqueous HSe</span><sup>−</sup><span>) when supplied with Se(0).&nbsp;</span><i>B. selenitireducens</i><span>&nbsp;was also able to reduce selenite [Se(IV)] through Se(0) to Se(-II). Reduction of Se(0) by&nbsp;</span><i>B. selenitireducens</i><span>&nbsp;was more rapid in cells grown on colloidal sulfur [S(0)] or Se(IV) as their electron acceptor than for cell lines grown on fumarate. In contrast, three cultures of selenate-respiring bacteria,&nbsp;</span><i>Sulfurospirillum barnesii</i><span>,&nbsp;</span><i>B. arsenicoselenatis</i><span>, and&nbsp;</span><i>Selenihalanaerobacter shriftii</i><span>&nbsp;either were unable to reduce Se(0) to Se(-II) or had only a very limited capacity to achieve this reduction. Biological reduction of Se(0) to Se(-II) was observed during incubation of estuarine sediment slurries, while no such activity was noted in formalin-killed controls. The majority of the Se(-II) produced was found in the sediments as a solid precipitate of FeSe, rather than in solution as HSe</span><sup>−</sup><span>. These results demonstrate that certain anaerobic bacteria have the capacity to reduce Se(0) to Se(-II), providing a possible biological explanation for the occurrence of the selenide species in some sedimentary rocks.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/713851163","issn":"01490451","usgsCitation":"Herbel, M., Blum, J., Oremland, R., and Borglin, S., 2003, Reduction of elemental selenium to selenide: Experiments with anoxic sediments and bacteria that respire Se-oxyanions: Geomicrobiology Journal, v. 20, no. 6, p. 587-602, https://doi.org/10.1080/713851163.","productDescription":"16 p.","startPage":"587","endPage":"602","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":233259,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a3dbe4b0e8fec6cdb9de","contributors":{"authors":[{"text":"Herbel, M.J.","contributorId":57232,"corporation":false,"usgs":true,"family":"Herbel","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":403331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blum, J.S.","contributorId":105070,"corporation":false,"usgs":true,"family":"Blum","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":403334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oremland, R.S.","contributorId":97512,"corporation":false,"usgs":true,"family":"Oremland","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":403333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borglin, S.E.","contributorId":69334,"corporation":false,"usgs":true,"family":"Borglin","given":"S.E.","affiliations":[],"preferred":false,"id":403332,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70024958,"text":"70024958 - 2003 - Response of North American Great Basin Lakes to Dansgaard-Oeschger oscillations","interactions":[],"lastModifiedDate":"2012-03-12T17:20:11","indexId":"70024958","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Response of North American Great Basin Lakes to Dansgaard-Oeschger oscillations","docAbstract":"We correlate oscillations in the hydrologic and/or cryologic balances of four Great Basin surface-water systems with Dansgaard-Oeschger (D-O) events 2-12. This correlation is relatively strong at the location of the magnetic signature used to link the lake records, but becomes less well constrained with distance/time from the signature. Comparison of proxy glacial and hydrologic records from Owens and Pyramid lakes indicates that Sierran glacial advances occurred during times of relative dryness. If our hypothesized correlation between the lake-based records and the GISP2 ??18O record is correct, it suggests that North Atlantic D-O stades were associated with relatively cold and dry conditions and that interstades were associated with relatively warm and wet conditions throughout the Great Basin between 50,500 and 27,000 GISP2yr B.P. The Great Basin lacustrine climate records reinforce the hypothesis that D-O events affected the climate throughout much of the Northern Hemisphere during marine isotope stages 2 and 3. However, the absolute phasing between lake-size and ice-core ??18O records remains difficult to determine.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Science Reviews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/S0277-3791(03)00210-5","issn":"02773791","usgsCitation":"Benson, L., Lund, S., Negrini, R., Linsley, B., and Zic, M., 2003, Response of North American Great Basin Lakes to Dansgaard-Oeschger oscillations: Quaternary Science Reviews, v. 22, no. 21-22, p. 2239-2251, https://doi.org/10.1016/S0277-3791(03)00210-5.","startPage":"2239","endPage":"2251","numberOfPages":"13","costCenters":[],"links":[{"id":207752,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0277-3791(03)00210-5"},{"id":232939,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"21-22","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aaa1ae4b0c8380cd86148","contributors":{"authors":[{"text":"Benson, L.","contributorId":56793,"corporation":false,"usgs":true,"family":"Benson","given":"L.","affiliations":[],"preferred":false,"id":403254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lund, S.","contributorId":84933,"corporation":false,"usgs":true,"family":"Lund","given":"S.","affiliations":[],"preferred":false,"id":403255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Negrini, R.","contributorId":26390,"corporation":false,"usgs":true,"family":"Negrini","given":"R.","email":"","affiliations":[],"preferred":false,"id":403252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linsley, B.","contributorId":33493,"corporation":false,"usgs":true,"family":"Linsley","given":"B.","email":"","affiliations":[],"preferred":false,"id":403253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zic, M.","contributorId":21317,"corporation":false,"usgs":true,"family":"Zic","given":"M.","email":"","affiliations":[],"preferred":false,"id":403251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70024952,"text":"70024952 - 2003 - A new cation-exchange method for accurate field speciation of hexavalent chromium","interactions":[],"lastModifiedDate":"2018-11-19T07:12:04","indexId":"70024952","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3517,"text":"Talanta","active":true,"publicationSubtype":{"id":10}},"title":"A new cation-exchange method for accurate field speciation of hexavalent chromium","docAbstract":"A new method for field speciation of Cr(VI) has been developed to meet present stringent regulatory standards and to overcome the limitations of existing methods. The method consists of passing a water sample through strong acid cation-exchange resin at the field site, where Cr(III) is retained while Cr(VI) passes into the effluent and is preserved for later determination. The method is simple, rapid, portable, and accurate, and makes use of readily available, inexpensive materials. Cr(VI) concentrations are determined later in the laboratory using any elemental analysis instrument sufficiently sensitive to measure the Cr(VI) concentrations of interest. The new method allows measurement of Cr(VI) concentrations as low as 0.05 ??g 1-1, storage of samples for at least several weeks prior to analysis, and use of readily available analytical instrumentation. Cr(VI) can be separated from Cr(III) between pH 2 and 11 at Cr(III)/Cr(VI) concentration ratios as high as 1000. The new method has demonstrated excellent comparability with two commonly used methods, the Hach Company direct colorimetric method and USEPA method 218.6. The new method is superior to the Hach direct colorimetric method owing to its relative sensitivity and simplicity. The new method is superior to USEPA method 218.6 in the presence of Fe(II) concentrations up to 1 mg 1-1 and Fe(III) concentrations up to 10 mg 1-1. Time stability of preserved samples is a significant advantage over the 24-h time constraint specified for USEPA method 218.6.","language":"English","publisher":"Elsevier","doi":"10.1016/S0039-9140(03)00282-0","issn":"00399140","usgsCitation":"Ball, J., and McCleskey, R.B., 2003, A new cation-exchange method for accurate field speciation of hexavalent chromium: Talanta, v. 61, no. 3, p. 305-313, https://doi.org/10.1016/S0039-9140(03)00282-0.","productDescription":"9 p.","startPage":"305","endPage":"313","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":232866,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":207705,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0039-9140(03)00282-0"}],"volume":"61","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e49de4b0c8380cd46782","contributors":{"authors":[{"text":"Ball, J.W.","contributorId":67507,"corporation":false,"usgs":true,"family":"Ball","given":"J.W.","affiliations":[],"preferred":false,"id":403232,"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":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":403231,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70024950,"text":"70024950 - 2003 - Effect of hydrologic and geochemical conditions on oxygen-enhanced bioremediation in a gasoline-contaminated aquifer","interactions":[],"lastModifiedDate":"2018-11-16T10:41:35","indexId":"70024950","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1042,"text":"Bioremediation Journal","active":true,"publicationSubtype":{"id":10}},"title":"Effect of hydrologic and geochemical conditions on oxygen-enhanced bioremediation in a gasoline-contaminated aquifer","docAbstract":"The effect of pre-existing factors, e.g., hydrologic, geochemical, and microbiological properties, on the results of oxygen addition to a reformulated gasoline-contaminated groundwater system was studied. Oxygen addition with an oxygen-release compound (a proprietary form of magnesium peroxide produced different results with respect to dissolved oxygen (DO) generation and contaminant decrease in the two locations. Oxygen-release compound injected at the former UST source area did not significantly change measured concentrations of DO, benzene, toluene, or MTBE. Conversely, oxygen-release compound injected 200 m downgradient of the former UST source area rapidly increased DO levels, and benzene, toluene, and MTBE concentrations decreased substantially. The different results could be related to differences in hydrologic and geochemical conditions that characterized the two locations prior to oxygen addition. The lack of recharge to ground water in the paved UST source area led to a much larger geochemical sink for DO compared to ground water in the unpaved area.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/713607983","issn":"10889868","usgsCitation":"Landmeyer, J., and Bradley, P., 2003, Effect of hydrologic and geochemical conditions on oxygen-enhanced bioremediation in a gasoline-contaminated aquifer: Bioremediation Journal, v. 7, no. 3-4, p. 165-177, https://doi.org/10.1080/713607983.","productDescription":"13 p.","startPage":"165","endPage":"177","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":232834,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269728,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/713607983"}],"volume":"7","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a05b6e4b0c8380cd50f07","contributors":{"authors":[{"text":"Landmeyer, J. E.","contributorId":91140,"corporation":false,"usgs":true,"family":"Landmeyer","given":"J. E.","affiliations":[],"preferred":false,"id":403227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, P. M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":29465,"corporation":false,"usgs":true,"family":"Bradley","given":"P. M.","affiliations":[],"preferred":false,"id":403226,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70024935,"text":"70024935 - 2003 - Historical trend in river ice thickness and coherence in hydroclimatological trends in Maine","interactions":[],"lastModifiedDate":"2012-03-12T17:20:09","indexId":"70024935","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Historical trend in river ice thickness and coherence in hydroclimatological trends in Maine","docAbstract":"We analyzed long-term records of ice thickness on the Piscataquis River in central Maine and air temperature in Maine to determine whether there were temporal trends that were associated with climate warming. The trend in ice thickness was compared and correlated with regional time series of winter air temperature, heating degree days (HDD), date of river ice-out, seasonal center-of-volume date (SCVD) (date on which half of the stream runoff volume during the period 1 Jan. to 31 May has occurred), water temperature, and lake ice-out date. All of these variables except lake ice-out date showed significant temporal trends during the 20th century. Average ice thickness around 28 February decreased by about 23 cm from 1912 to 2001. Over the period 1900 to 1999, winter air temperature increased by 1.7??C and HDD decreased by about 7.5%. Final ice-out date on the Piscataquis River occurred earlier (advanced), by 0.21 days yr-1 over the period 1931 to 2002, and the SCVD advanced by 0.11 days yr-1 over the period 1903 to 2001. Ice thickness was significantly correlated (P-value < 0.01) with winter air temperature, HDD, river ice-out, and SCVD. These systematic temporal trends in multiple hydrologic indicator variables indicate a coherent response to climate forcing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1023/A:1026360615401","issn":"01650009","usgsCitation":"Huntington, T., Hodgkins, G., and Dudley, R.W., 2003, Historical trend in river ice thickness and coherence in hydroclimatological trends in Maine: Climatic Change, v. 61, no. 1-2, p. 217-236, https://doi.org/10.1023/A:1026360615401.","startPage":"217","endPage":"236","numberOfPages":"20","costCenters":[],"links":[{"id":207902,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1023/A:1026360615401"},{"id":233184,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a31a5e4b0c8380cd5e0db","contributors":{"authors":[{"text":"Huntington, T.G. 0000-0002-9427-3530","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":64675,"corporation":false,"usgs":true,"family":"Huntington","given":"T.G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":403175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgkins, G.A.","contributorId":14022,"corporation":false,"usgs":true,"family":"Hodgkins","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":403174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dudley, R. W.","contributorId":90780,"corporation":false,"usgs":true,"family":"Dudley","given":"R.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":403176,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70024932,"text":"70024932 - 2003 - Offset vertical radar profiling","interactions":[],"lastModifiedDate":"2022-06-10T15:14:28.858364","indexId":"70024932","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2610,"text":"Leading Edge (Tulsa, OK)","active":true,"publicationSubtype":{"id":10}},"title":"Offset vertical radar profiling","docAbstract":"Diffraction tomography imaging was applied to VRP data acquired by vertically moving a receiving antenna in a number of wells. This procedure simulated a vertical downhole receiver array. Similarly, a transmitting antenna was sequentially moved along a series of radial lines extending outward from the receiver wells. This provided a sequence of multistatic data sets and, from each data set, a two-dimensional vertical cross-sectional image of spatial variations in wave speed was reconstructed.","language":"English","publisher":"Society of exploration Geophysicists","doi":"10.1190/1.1634910","usgsCitation":"Witten, A., and Lane, J., 2003, Offset vertical radar profiling: Leading Edge (Tulsa, OK), v. 22, no. 11, p. 1070-1076, https://doi.org/10.1190/1.1634910.","productDescription":"7 p.","startPage":"1070","endPage":"1076","numberOfPages":"7","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":233149,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6cafe4b0c8380cd74d7e","contributors":{"authors":[{"text":"Witten, A.","contributorId":23728,"corporation":false,"usgs":true,"family":"Witten","given":"A.","email":"","affiliations":[],"preferred":false,"id":403165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, J.","contributorId":74917,"corporation":false,"usgs":true,"family":"Lane","given":"J.","affiliations":[],"preferred":false,"id":403166,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70024926,"text":"70024926 - 2003 - Modeling radium and radon transport through soil and vegetation","interactions":[],"lastModifiedDate":"2012-03-12T17:20:05","indexId":"70024926","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling radium and radon transport through soil and vegetation","docAbstract":"A one-dimensional flow and transport model was developed to describe the movement of two fluid phases, gas and water, within a porous medium and the transport of 226Ra and 222Rn within and between these two phases. Included in this model is the vegetative uptake of water and aqueous 226Ra and 222Rn that can be extracted from the soil via the transpiration stream. The mathematical model is formulated through a set of phase balance equations and a set of species balance equations. Mass exchange, sink terms and the dependence of physical properties upon phase composition couple the two sets of equations. Numerical solution of each set, with iteration between the sets, is carried out leading to a set-iterative compositional model. The Petrov-Galerkin finite element approach is used to allow for upstream weighting if required for a given simulation. Mass lumping improves solution convergence and stability behavior. The resulting numerical model was applied to four problems and was found to produce accurate, mass conservative solutions when compared to published experimental and numerical results and theoretical column experiments. Preliminary results suggest that the model can be used as an investigative tool to determine the feasibility of phytoremediating radium and radon-contaminated soil. ?? 2003 Elsevier Science B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Contaminant Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/S0169-7722(03)00032-9","issn":"01697722","usgsCitation":"Kozak, J., Reeves, H.W., and Lewis, B., 2003, Modeling radium and radon transport through soil and vegetation: Journal of Contaminant Hydrology, v. 66, no. 3-4, p. 179-200, https://doi.org/10.1016/S0169-7722(03)00032-9.","startPage":"179","endPage":"200","numberOfPages":"22","costCenters":[],"links":[{"id":207815,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0169-7722(03)00032-9"},{"id":233039,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c1fe4b0c8380cd6fa59","contributors":{"authors":[{"text":"Kozak, J.A.","contributorId":50326,"corporation":false,"usgs":true,"family":"Kozak","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":403145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, H. W.","contributorId":53739,"corporation":false,"usgs":true,"family":"Reeves","given":"H.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":403146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, B.A.","contributorId":66450,"corporation":false,"usgs":true,"family":"Lewis","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":403147,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70024925,"text":"70024925 - 2003 - The typological approach to submarine groundwater discharge (SGD)","interactions":[],"lastModifiedDate":"2012-03-12T17:20:05","indexId":"70024925","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"The typological approach to submarine groundwater discharge (SGD)","docAbstract":"Coastal zone managers need to factor submarine groundwater discharge (SGD) in their integration. SGD provides a pathway for the transfer of freshwater, and its dissolved chemical burden, from the land to the coastal ocean. SGD reduces salinities and provides nutrients to specialized coastal habitats. It also can be a pollutant source, often undetected, causing eutrophication and triggering nuisance algal blooms. Despite its importance, SGD remains somewhat of a mystery in most places because it is usually unseen and difficult to measure. SGD has been directly measured at only about a hundred sites worldwide. A typology generated by the Land-Ocean Interaction in the Coastal Zone (LOICZ) Project is one of the few tools globally available to coastal resource managers for identifying areas in their jurisdiction where SGD may be a confounding process. (LOICZ is a core project of the International Geosphere/Biosphere Programme.) Of the hundreds of globally distributed parameters in the LOICZ typology, a SGD subset of potentially relevant parameters may be culled. A quantitative combination of the relevant hydrological parameters can serve as a proxy for the SGD conditions not directly measured. Web-LOICZ View, geospatial software then provides an automated approach to clustering these data into groups of locations that have similar characteristics. It permits selection of variables, of the number of clusters desired, and of the clustering criteria, and provides means of testing predictive results against independent variables. Information on the occurrence of a variety of SGD indicators can then be incorporated into regional clustering analysis. With such tools, coastal managers can focus attention on the most likely sites of SGD in their jurisdiction and design the necessary measurement and modeling programs needed for integrated management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1023/B:BIOG.0000006125.10467.75","issn":"01682563","usgsCitation":"Bokuniewicz, H., Buddemeier, R., Maxwell, B., and Smith, C., 2003, The typological approach to submarine groundwater discharge (SGD): Biogeochemistry, v. 66, no. 1-2, p. 145-158, https://doi.org/10.1023/B:BIOG.0000006125.10467.75.","startPage":"145","endPage":"158","numberOfPages":"14","costCenters":[],"links":[{"id":207791,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1023/B:BIOG.0000006125.10467.75"},{"id":233005,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb145e4b08c986b3252a2","contributors":{"authors":[{"text":"Bokuniewicz, H.","contributorId":68928,"corporation":false,"usgs":true,"family":"Bokuniewicz","given":"H.","email":"","affiliations":[],"preferred":false,"id":403142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buddemeier, R.","contributorId":84543,"corporation":false,"usgs":true,"family":"Buddemeier","given":"R.","affiliations":[],"preferred":false,"id":403143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maxwell, B.","contributorId":56615,"corporation":false,"usgs":true,"family":"Maxwell","given":"B.","email":"","affiliations":[],"preferred":false,"id":403141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, C.","contributorId":96429,"corporation":false,"usgs":true,"family":"Smith","given":"C.","affiliations":[],"preferred":false,"id":403144,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70024917,"text":"70024917 - 2003 - A reservoir of nitrate beneath desert soils","interactions":[],"lastModifiedDate":"2018-11-19T07:56:46","indexId":"70024917","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"A reservoir of nitrate beneath desert soils","docAbstract":"<p>A large reservoir of bioavailable nitrogen (up to ∼10<sup>4</sup> kilograms of nitrogen per hectare, as nitrate) has been previously overlooked in studies of global nitrogen distribution. The reservoir has been accumulating in subsoil zones of arid regions throughout the Holocene. Consideration of the subsoil reservoir raises estimates of vadose-zone nitrogen inventories by 14 to 71% for warm deserts and arid shrublands worldwide and by 3 to 16% globally. Subsoil nitrate accumulation indicates long-term leaching from desert soils, impelling further evaluation of nutrient dynamics in xeric ecosystems. Evidence that subsoil accumulations are readily mobilized raises concern about groundwater contamination after land-use or climate change.</p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.1086435","usgsCitation":"Walvoord, M.A., Phillips, F.M., Stonestrom, D.A., Evans, R.D., Hartsough, P.C., Newman, B.D., and Striegl, R.G., 2003, A reservoir of nitrate beneath desert soils: Science, v. 302, no. 5647, p. 1021-1024, https://doi.org/10.1126/science.1086435.","productDescription":"4 p.","startPage":"1021","endPage":"1024","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":232901,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"302","issue":"5647","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e2ffe4b0c8380cd45d8c","contributors":{"authors":[{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":403115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Fred M.","contributorId":57957,"corporation":false,"usgs":true,"family":"Phillips","given":"Fred","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":403110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":403114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, R. Dave","contributorId":188043,"corporation":false,"usgs":false,"family":"Evans","given":"R.","email":"","middleInitial":"Dave","affiliations":[],"preferred":false,"id":403112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartsough, Peter C.","contributorId":188044,"corporation":false,"usgs":false,"family":"Hartsough","given":"Peter","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":403109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newman, Brent D.","contributorId":188045,"corporation":false,"usgs":false,"family":"Newman","given":"Brent","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":403111,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":403113,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70024915,"text":"70024915 - 2003 - Inhibition of acetoclastic methanogenesis in crude oil- and creosote-contaminated groundwater","interactions":[],"lastModifiedDate":"2023-02-07T17:26:40.518023","indexId":"70024915","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1042,"text":"Bioremediation Journal","active":true,"publicationSubtype":{"id":10}},"title":"Inhibition of acetoclastic methanogenesis in crude oil- and creosote-contaminated groundwater","docAbstract":"The inhibition of acetoclastic methanogenesis in crude oil- and creosote-contaminated groundwater was studied. The crude oil and water-soluble components of creosote contributed to the inhibition of acetoclastic methanogens. Acetoclastic methanogenesis was much more susceptible to the toxic inhibition of crude oil and creosote than either hydrogen- or formate-utilizing methanogenesis. The effect of this toxic inhibition was apparent in the population of the methanogenic trophic groups near nonaqueous crude oil at the Bemidji, MN, site. At a crude oil-contaminated site, numbers of acetoclastic methanogens found close to crude oil were 100 times fewer than those of hydrogen- and formate-utilizing methanogens. In laboratory toxicity assays, crude oil collected from the site inhibited methane production from acetate but not from formate or hydrogen. Toxicity assays with aqueous creosote extract completely inhibited acetate utilization over the range of tested dilutions but only mildly affected formate and hydrogen utilization. Wastewater reactor studies indicated that this toxicity would result in a decrease in the biodegradation rate of contaminants at sites where toxic compounds are present.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/713607984","issn":"10889868","usgsCitation":"Warren, E., Bekins, B., Godsy, E., and Smith, V.K., 2003, Inhibition of acetoclastic methanogenesis in crude oil- and creosote-contaminated groundwater: Bioremediation Journal, v. 7, no. 3-4, p. 139-149, https://doi.org/10.1080/713607984.","productDescription":"11 p.","startPage":"139","endPage":"149","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":232864,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Minnesota","city":"Bemidji, Pensacola","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.94825567887175,\n              47.510004595874534\n            ],\n            [\n              -94.94825567887175,\n              47.41809133602223\n            ],\n            [\n              -94.81641974137156,\n              47.41809133602223\n            ],\n            [\n              -94.81641974137156,\n              47.510004595874534\n            ],\n            [\n              -94.94825567887175,\n              47.510004595874534\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.39555721398766,\n              30.591676071104317\n            ],\n            [\n              -87.39555721398766,\n              30.32078312407623\n            ],\n            [\n              -87.08408284572732,\n              30.32078312407623\n            ],\n            [\n              -87.08408284572732,\n              30.591676071104317\n            ],\n            [\n              -87.39555721398766,\n              30.591676071104317\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"7","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3bd5e4b0c8380cd6285f","contributors":{"authors":[{"text":"Warren, E.","contributorId":15360,"corporation":false,"usgs":true,"family":"Warren","given":"E.","email":"","affiliations":[],"preferred":false,"id":403101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bekins, B.A.","contributorId":98309,"corporation":false,"usgs":true,"family":"Bekins","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":403104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godsy, E.M.","contributorId":56685,"corporation":false,"usgs":true,"family":"Godsy","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":403102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, V. K.","contributorId":61051,"corporation":false,"usgs":true,"family":"Smith","given":"V.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":403103,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70024887,"text":"70024887 - 2003 - Use of statistically and dynamically downscaled atmospheric model output for hydrologic simulations in three mountainous basins in the western United States","interactions":[],"lastModifiedDate":"2012-03-12T17:20:05","indexId":"70024887","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Use of statistically and dynamically downscaled atmospheric model output for hydrologic simulations in three mountainous basins in the western United States","docAbstract":"This paper examines the hydrologic model performance in three snowmelt-dominated basins in the western United States to dynamically- and statistically downscaled output from the National Centers for Environmental Prediction/National Center for Atmospheric Research Reanalysis (NCEP). Runoff produced using a distributed hydrologic model is compared using daily precipitation and maximum and minimum temperature timeseries derived from the following sources: (1) NCEP output (horizontal grid spacing of approximately 210 km); (2) dynamically downscaled (DDS) NCEP output using a Regional Climate Model (RegCM2, horizontal grid spacing of approximately 52 km); (3) statistically downscaled (SDS) NCEP output; (4) spatially averaged measured data used to calibrate the hydrologic model (Best-Sta) and (5) spatially averaged measured data derived from stations located within the area of the RegCM2 model output used for each basin, but excluding Best-Sta set (All-Sta). In all three basins the SDS-based simulations of daily runoff were as good as runoff produced using the Best-Sta timeseries. The NCEP, DDS, and All-Sta timeseries were able to capture the gross aspects of the seasonal cycles of precipitation and temperature. However, in all three basins, the NCEP-, DDS-, and All-Sta-based simulations of runoff showed little skill on a daily basis. When the precipitation and temperature biases were corrected in the NCEP, DDS, and All-Sta timeseries, the accuracy of the daily runoff simulations improved dramatically, but, with the exception of the bias-corrected All-Sta data set, these simulations were never as accurate as the SDS-based simulations. This need for a bias correction may be somewhat troubling, but in the case of the large station-timeseries (All-Sta), the bias correction did indeed 'correct' for the change in scale. It is unknown if bias corrections to model output will be valid in a future climate. Future work is warranted to identify the causes for (and removal of) systematic biases in DDS simulations, and improve DDS simulations of daily variability in local climate. Until then, SDS based simulations of runoff appear to be the safer downscaling choice.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/S0022-1694(03)00252-X","issn":"00221694","usgsCitation":"Hay, L., and Clark, M., 2003, Use of statistically and dynamically downscaled atmospheric model output for hydrologic simulations in three mountainous basins in the western United States: Journal of Hydrology, v. 282, no. 1-4, p. 56-75, https://doi.org/10.1016/S0022-1694(03)00252-X.","startPage":"56","endPage":"75","numberOfPages":"20","costCenters":[],"links":[{"id":207814,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0022-1694(03)00252-X"},{"id":233038,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"282","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbf8be4b08c986b329c06","contributors":{"authors":[{"text":"Hay, L.E.","contributorId":54253,"corporation":false,"usgs":true,"family":"Hay","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":403019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, M.P.","contributorId":49558,"corporation":false,"usgs":true,"family":"Clark","given":"M.P.","affiliations":[],"preferred":false,"id":403018,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70024885,"text":"70024885 - 2003 - Transport and cycling of iron and hydrogen peroxide in a freshwater stream: Influence of organic acids","interactions":[],"lastModifiedDate":"2018-11-16T08:57:58","indexId":"70024885","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Transport and cycling of iron and hydrogen peroxide in a freshwater stream: Influence of organic acids","docAbstract":"<p><span>An in‐stream injection of two dissolved organic acids (phthalic and aspartic acids) was performed in an acidic mountain stream to assess the effects of organic acids on Fe photoreduction and H</span><sub>2</sub><span>O</span><sub>2</sub><span>&nbsp;cycling. Results indicate that the fate of Fe is dependent on a net balance of oxidative and reductive processes, which can vary over a distance of several meters due to changes in incident light and other factors. Solution phase photoreduction rates were high in sunlit reaches and were enhanced by the organic acid addition but were also limited by the amount of ferric iron present in the water column. Fe oxide photoreduction from the streambed and colloids within the water column resulted in an increase in the diurnal load of total filterable Fe within the experimental reach, which also responded to increases in light and organic acids. Our results also suggest that Fe(II) oxidation increased in response to the organic acids, with the result of offsetting the increase in Fe(II) from photoreductive processes. Fe(II) was rapidly oxidized to Fe(III) after sunset and during the day within a well‐shaded reach, presumably through microbial oxidation. H</span><sub>2</sub><span>O</span><sub>2</sub><span>, a product of dissolved organic matter photolysis, increased downstream to maximum concentrations of 0.25 μM midday. Kinetic calculations show that the buildup of H</span><sub>2</sub><span>O</span><sub>2</sub><span>&nbsp;is controlled by reaction with Fe(II), but this has only a small effect on Fe(II) because of the small formation rates of H</span><sub>2</sub><span>O</span><sub>2</sub><span>&nbsp;compared to those of Fe(II). The results demonstrate the importance of incorporating the effects of light and dissolved organic carbon into Fe reactive transport models to further our understanding of the fate of Fe in streams and lakes.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2002WR001768","usgsCitation":"Scott, D.T., Runkel, R.L., McKnight, D.M., Voelker, B.M., Kimball, B.A., and Carraway, E.R., 2003, Transport and cycling of iron and hydrogen peroxide in a freshwater stream: Influence of organic acids: Water Resources Research, v. 39, no. 11, p. 1-14, https://doi.org/10.1029/2002WR001768.","productDescription":"Article 1308; 14 p.","startPage":"1","endPage":"14","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":478533,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2002wr001768","text":"Publisher Index Page"},{"id":233003,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb737e4b08c986b327112","contributors":{"authors":[{"text":"Scott, Durelle T.","contributorId":102383,"corporation":false,"usgs":true,"family":"Scott","given":"Durelle","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":403008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":403012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":403009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voelker, Bettina M.","contributorId":74914,"corporation":false,"usgs":false,"family":"Voelker","given":"Bettina","email":"","middleInitial":"M.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":403010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":403011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carraway, Elizabeth R.","contributorId":30000,"corporation":false,"usgs":false,"family":"Carraway","given":"Elizabeth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":403007,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70024870,"text":"70024870 - 2003 - The fate of wastewater-derived nitrate in the subsurface of the Florida Keys: Key Colony Beach, Florida","interactions":[],"lastModifiedDate":"2018-11-16T09:07:03","indexId":"70024870","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"The fate of wastewater-derived nitrate in the subsurface of the Florida Keys: Key Colony Beach, Florida","docAbstract":"<p>Shallow injection is the predominant mode of wastewater disposal for most tourist-oriented facilities and some residential communities in the US Florida Keys National Marine Sanctuary. Concern has been expressed that wastewater nutrients may be escaping from the saline groundwater system into canals and surrounding coastal waters and perhaps to the reef tract 10&nbsp;km offshore, promoting unwanted algal growth and degradation of water quality. We performed a field study of the fate of wastewater-derived nitrate in the subsurface of a Florida Keys residential community (Key Colony Beach, FL) that uses this disposal method, analyzing samples from 21 monitoring wells and two canal sites. The results indicate that wastewater injection at 18–27&nbsp;m depth into saline groundwater creates a large buoyant plume that flows quickly (within days) upward to a confining layer 6&nbsp;m below the surface, and then in a fast flow path toward a canal 200&nbsp;m to the east within a period of weeks to months. Low-salinity groundwaters along the fast flow path have nitrate concentrations that are not significantly reduced from that of the injected wastewaters (ranging from 400 to 600&nbsp;μmol&nbsp;kg<sup>−1</sup>). Portions of the low-salinity plume off the main axis of flow have relatively long residence times (&gt;2 months) and have had their nitrate concentrations strongly reduced by a combination of mixing and denitrification. These waters have dissolved N<sub>2</sub>&nbsp;concentrations up to 1.6 times air-saturation values with δ<sup>15</sup> N[N<sub>2</sub>]=0.5-5‰, δ<sup>15</sup>N[NO<sub>3</sub><sup>-</sup>]=16-26‰, and calculated isotope fractionation factors of about −12±4‰, consistent with denitrification as the predominant nitrate reduction reaction. Estimated rates of denitrification of wastewater in the aquifer are of the order of 4&nbsp;μmol&nbsp;kg<sup>-1</sup>&nbsp;N&nbsp;day<sup>-1</sup>&nbsp;or 0.008&nbsp;day<sup>-1</sup>. The data indicate that denitrification reduces the nitrate load of the injected wastewater substantially, but not completely, before it discharges to nearby canals.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/S0272-7714(03)00131-8","issn":"02727714","usgsCitation":"Griggs, E., Kump, L., and Böhlke, J., 2003, The fate of wastewater-derived nitrate in the subsurface of the Florida Keys: Key Colony Beach, Florida: Estuarine, Coastal and Shelf Science, v. 58, no. 3, p. 517-539, https://doi.org/10.1016/S0272-7714(03)00131-8.","productDescription":"23 p.","startPage":"517","endPage":"539","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":232788,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":207653,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0272-7714(03)00131-8"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.991455078125,\n              25.522614647623293\n            ],\n            [\n              -80.035400390625,\n              25.596948323286135\n            ],\n            [\n              -80.15625,\n              25.596948323286135\n            ],\n            [\n              -80.2716064453125,\n              25.54244147012483\n            ],\n            [\n              -80.3814697265625,\n              25.35891851754525\n            ],\n            [\n              -80.70556640625,\n              25.110471486223346\n            ],\n            [\n              -81.34277343749999,\n              24.886436490787712\n            ],\n            [\n              -81.9854736328125,\n              24.701924833689933\n            ],\n            [\n              -82.144775390625,\n              24.716895455859337\n            ],\n            [\n              -82.3590087890625,\n              24.632038149596895\n            ],\n            [\n              -82.3370361328125,\n              24.52213723599524\n            ],\n            [\n              -82.0404052734375,\n              24.427145340082046\n            ],\n            [\n              -81.45263671875,\n              24.48214938647425\n            ],\n            [\n              -81.10107421874999,\n              24.577099744289427\n            ],\n            [\n              -80.76599121093749,\n              24.716895455859337\n            ],\n            [\n              -80.4034423828125,\n              24.946219074360084\n            ],\n            [\n              -80.255126953125,\n              25.140311914680755\n            ],\n            [\n              -79.991455078125,\n              25.522614647623293\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505babf9e4b08c986b3231bb","contributors":{"authors":[{"text":"Griggs, E.M.","contributorId":33887,"corporation":false,"usgs":true,"family":"Griggs","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":402938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kump, L.R.","contributorId":80863,"corporation":false,"usgs":true,"family":"Kump","given":"L.R.","affiliations":[],"preferred":false,"id":402939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Böhlke, J.K. 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":96696,"corporation":false,"usgs":true,"family":"Böhlke","given":"J.K.","affiliations":[],"preferred":false,"id":402940,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70024856,"text":"70024856 - 2003 - Vertical velocity variance in the mixed layer from radar wind profilers","interactions":[],"lastModifiedDate":"2012-03-12T17:20:09","indexId":"70024856","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Vertical velocity variance in the mixed layer from radar wind profilers","docAbstract":"Vertical velocity variance data were derived from remotely sensed mixed layer turbulence measurements at the Atmospheric Boundary Layer Experiments (ABLE) facility in Butler County, Kansas. These measurements and associated data were provided by a collection of instruments that included two 915 MHz wind profilers, two radio acoustic sounding systems, and two eddy correlation devices. The data from these devices were available through the Atmospheric Boundary Layer Experiment (ABLE) database operated by Argonne National Laboratory. A signal processing procedure outlined by Angevine et al. was adapted and further built upon to derive vertical velocity variance, w_pm???2, from 915 MHz wind profiler measurements in the mixed layer. The proposed procedure consisted of the application of a height-dependent signal-to-noise ratio (SNR) filter, removal of outliers plus and minus two standard deviations about the mean on the spectral width squared, and removal of the effects of beam broadening and vertical shearing of horizontal winds. The scatter associated with w_pm???2 was mainly affected by the choice of SNR filter cutoff values. Several different sets of cutoff values were considered, and the optimal one was selected which reduced the overall scatter on w_pm???2 and yet retained a sufficient number of data points to average. A similarity relationship of w_pm???2 versus height was established for the mixed layer on the basis of the available data. A strong link between the SNR and growth/decay phases of turbulence was identified. Thus, the mid to late afternoon hours, when strong surface heating occurred, were observed to produce the highest quality signals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrologic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)1084-0699(2003)8:6(301)","issn":"10840699","usgsCitation":"Eng, K., Coulter, R., and Brutsaert, W., 2003, Vertical velocity variance in the mixed layer from radar wind profilers: Journal of Hydrologic Engineering, v. 8, no. 6, p. 301-307, https://doi.org/10.1061/(ASCE)1084-0699(2003)8:6(301).","startPage":"301","endPage":"307","numberOfPages":"7","costCenters":[],"links":[{"id":233073,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":207835,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)1084-0699(2003)8:6(301)"}],"volume":"8","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc24ae4b08c986b32aa4a","contributors":{"authors":[{"text":"Eng, K.","contributorId":51063,"corporation":false,"usgs":true,"family":"Eng","given":"K.","email":"","affiliations":[],"preferred":false,"id":402879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coulter, R.L.","contributorId":78913,"corporation":false,"usgs":true,"family":"Coulter","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":402880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brutsaert, W.","contributorId":103445,"corporation":false,"usgs":true,"family":"Brutsaert","given":"W.","affiliations":[],"preferred":false,"id":402881,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70024713,"text":"70024713 - 2003 - Mineral precipitation and dissolution at two slag-disposal sites in northwestern Indiana, USA","interactions":[],"lastModifiedDate":"2018-11-16T09:22:15","indexId":"70024713","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1539,"text":"Environmental Geology","active":true,"publicationSubtype":{"id":10}},"title":"Mineral precipitation and dissolution at two slag-disposal sites in northwestern Indiana, USA","docAbstract":"<p>Slag is a ubiquitous byproduct of the iron- and steel-refining industries. In northwestern Indiana and northeastern Illinois, slag has been deposited over more than 52 km2 of land surface. Despite the widespread use of slag for fill and construction purposes, little is known about its chemical effects on the environment. Two slagdisposal sites were examined in northwestern Indiana where slag was deposited over the native glacial deposits. At a third site, where slag was not present, background conditions were defined. Samples were collected from cores and drill cuttings and described with scanning electron microscopy and electron microprobe analysis. Ground-water samples were collected and used to assess thermodynamic equilibria between authigenic minerals and existing conditions. Differences in the mineralogy at background and slag-affected sites were apparent. Calcite, dolomite, gypsum, iron oxides, and clay minerals were abundant in native sediments immediately beneath the slag. Mineral features indicated that these minerals precipitated rapidly from slag drainage and co-precipitated minor amounts of non-calcium metals and trace elements. Quartz fragments immediately beneath the slag showed extensive pitting that was not apparent in sediments from the background site, indicating chemical weathering by the hyperalkaline slag drainage. The environmental impacts of slag-related mineral precipitation include disruption of natural ground-water flow patterns and bed-sediment armoring in adjacent surface-water systems. Dissolution of native quartz by the hyperalkaline drainage may cause instability in structures situated over slag fill or in roadways comprised of slag aggregates.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00254-003-0875-1","issn":"09430105","usgsCitation":"Bayless, E., and Schulz, M.S., 2003, Mineral precipitation and dissolution at two slag-disposal sites in northwestern Indiana, USA: Environmental Geology, v. 45, no. 2, p. 252-261, https://doi.org/10.1007/s00254-003-0875-1.","productDescription":"10 p.","startPage":"252","endPage":"261","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":321027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","county":"Lake, Porter, LaPorte","city":"Gary","otherGeospatial":"Indiana Dunes National Lakeshore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.51640319824219,\n              41.756971085614175\n            ],\n            [\n              -87.5225830078125,\n              41.55226945517221\n            ],\n            [\n              -87.41958618164062,\n              41.55226945517221\n            ],\n            [\n              -87.42095947265625,\n              41.76055653463573\n            ],\n            [\n              -87.51640319824219,\n              41.756971085614175\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.34062194824219,\n              41.64059153582049\n            ],\n            [\n              -87.33512878417969,\n              41.56716943961081\n            ],\n            [\n              -87.11952209472655,\n              41.589769752047076\n            ],\n            [\n              -86.86614990234375,\n              41.70931682567252\n            ],\n            [\n              -86.93275451660155,\n              41.74262728637672\n            ],\n            [\n              -87.34062194824219,\n              41.64059153582049\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a57a5e4b0c8380cd6ddec","contributors":{"authors":[{"text":"Bayless, E.R.","contributorId":67639,"corporation":false,"usgs":true,"family":"Bayless","given":"E.R.","email":"","affiliations":[],"preferred":false,"id":402381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulz, M. S.","contributorId":7299,"corporation":false,"usgs":true,"family":"Schulz","given":"M.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":402380,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70024703,"text":"70024703 - 2003 - Automated calibration of a stream solute transport model: Implications for interpretation of biogeochemical parameters","interactions":[],"lastModifiedDate":"2018-11-16T08:57:01","indexId":"70024703","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2564,"text":"Journal of the North American Benthological Society","onlineIssn":"1937-237X","printIssn":"0887-3593","active":true,"publicationSubtype":{"id":10}},"title":"Automated calibration of a stream solute transport model: Implications for interpretation of biogeochemical parameters","docAbstract":"The hydrologic processes of advection, dispersion, and transient storage are the primary physical mechanisms affecting solute transport in streams. The estimation of parameters for a conservative solute transport model is an essential step to characterize transient storage and other physical features that cannot be directly measured, and often is a preliminary step in the study of reactive solutes. Our study used inverse modeling to estimate parameters of the transient storage model OTIS (One dimensional Transport with Inflow and Storage). Observations from a tracer injection experiment performed on Uvas Creek, California, USA, are used to illustrate the application of automated solute transport model calibration to conservative and nonconservative stream solute transport. A computer code for universal inverse modeling (UCODE) is used for the calibrations. Results of this procedure are compared with a previous study that used a trial-and-error parameter estimation approach. The results demonstrated 1) importance of the proper estimation of discharge and lateral inflow within the stream system; 2) that although the fit of the observations is not much better when transient storage is invoked, a more randomly distributed set of residuals resulted (suggesting non-systematic error), indicating that transient storage is occurring; 3) that inclusion of transient storage for a reactive solute (Sr2+) provided a better fit to the observations, highlighting the importance of robust model parameterization; and 4) that applying an automated calibration inverse modeling estimation approach resulted in a comprehensive understanding of the model results and the limitation of input data.","language":"English","publisher":"University of Chicago Press","doi":"10.2307/1468348","issn":"08873593","usgsCitation":"Scott, D., Gooseff, M., Bencala, K., and Runkel, R., 2003, Automated calibration of a stream solute transport model: Implications for interpretation of biogeochemical parameters: Journal of the North American Benthological Society, v. 22, no. 4, p. 492-510, https://doi.org/10.2307/1468348.","productDescription":"19 p.","startPage":"492","endPage":"510","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":232988,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eef2e4b0c8380cd4a05f","contributors":{"authors":[{"text":"Scott, D.T.","contributorId":44324,"corporation":false,"usgs":true,"family":"Scott","given":"D.T.","email":"","affiliations":[],"preferred":false,"id":402330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gooseff, M.N.","contributorId":21668,"corporation":false,"usgs":true,"family":"Gooseff","given":"M.N.","email":"","affiliations":[],"preferred":false,"id":402329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bencala, K.E.","contributorId":105312,"corporation":false,"usgs":true,"family":"Bencala","given":"K.E.","email":"","affiliations":[],"preferred":false,"id":402332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runkel, R.L.","contributorId":97529,"corporation":false,"usgs":true,"family":"Runkel","given":"R.L.","affiliations":[],"preferred":false,"id":402331,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70024699,"text":"70024699 - 2003 - Mass load estimation errors utilizing grab sampling strategies in a karst watershed","interactions":[],"lastModifiedDate":"2021-08-21T18:18:32.700036","indexId":"70024699","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Mass load estimation errors utilizing grab sampling strategies in a karst watershed","docAbstract":"<p><strong><span>&nbsp;</span></strong><span>Developing a mass load estimation method appropriate for a given stream and constituent is difficult due to inconsistencies in hydrologic and constituent characteristics. The difficulty may be increased in flashy flow conditions such as karst. Many projects undertaken are constrained by budget and manpower and do not have the luxury of sophisticated sampling strategies. The objectives of this study were to: (1) examine two grab sampling strategies with varying sampling intervals and determine the error in mass load estimates, and (2) determine the error that can be expected when a grab sample is collected at a time of day when the diurnal variation is most divergent from the daily mean. Results show grab sampling with continuous flow to be a viable data collection method for estimating mass load in the study watershed. Comparing weekly, biweekly, and monthly grab sampling, monthly sampling produces the best results with this method. However, the time of day the sample is collected is important. Failure to account for diurnal variability when collecting a grab sample may produce unacceptable error in mass load estimates. The best time to collect a sample is when the diurnal cycle is nearest the daily mean.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2003.tb04423.x","issn":"1093474X","usgsCitation":"Fogle, A., Taraba, J., and Dinger, J., 2003, Mass load estimation errors utilizing grab sampling strategies in a karst watershed: Journal of the American Water Resources Association, v. 39, no. 6, p. 1361-1372, https://doi.org/10.1111/j.1752-1688.2003.tb04423.x.","productDescription":"12 p.","startPage":"1361","endPage":"1372","costCenters":[],"links":[{"id":388291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"6","noUsgsAuthors":false,"publicationDate":"2007-06-08","publicationStatus":"PW","scienceBaseUri":"505a524ee4b0c8380cd6c2fe","contributors":{"authors":[{"text":"Fogle, A.W.","contributorId":96051,"corporation":false,"usgs":true,"family":"Fogle","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":402321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taraba, J.L.","contributorId":51062,"corporation":false,"usgs":true,"family":"Taraba","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":402319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinger, J.S.","contributorId":64416,"corporation":false,"usgs":true,"family":"Dinger","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":402320,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70024684,"text":"70024684 - 2003 - Hydrological response to earthquakes in the Haibara well, central Japan - II. Possible mechanism inferred from time-varying hydraulic properties","interactions":[],"lastModifiedDate":"2012-03-12T17:20:06","indexId":"70024684","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Hydrological response to earthquakes in the Haibara well, central Japan - II. Possible mechanism inferred from time-varying hydraulic properties","docAbstract":"28 coseismic groundwater level decreases have been observed at the Haibara well, Shizuoka prefecture, central Japan, from 1981 to 1997. These groundwater level changes cannot be explained as the poroelastic response to coseismic static strain. We use the atmospheric pressure and tidal responses of the well, rock properties measured on core samples from the same formation and pumping test results to characterize the hydraulic and mechanical properties of the aquifer. The responses of the Haibara well to the M2 Earth tide constituent and to atmospheric pressure have varied over time. In particular, increasing amplitude and decreasing phase lags were observed after the 1993 pumping test, as well as after earthquakes that caused coseismic water level changes. The tidal response, together with the surface load efficiency derived from the atmospheric pressure response, is used to estimate the mechanical properties of the aquifer. The largest amplitude of the M2 constituent, 2.2 mm, is small enough to imply that pore fluid in this system is approximately twice as compressible as water, possibly due to the presence of a small amount of exsolved gas. Diffusion of a coseismic pressure drop near the well could account for the observed time histories of the water level changes. The time histories of the water level drops are well matched by the decay of a coseismic pressure drop at least 80 m away from the well. Removal of a small amount of gas from the formation in that location might in turn explain the coseismic pressure drops.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-246X.2003.02104.x","issn":"0956540X","usgsCitation":"Matsumoto, N., and Roeloffs, E., 2003, Hydrological response to earthquakes in the Haibara well, central Japan - II. Possible mechanism inferred from time-varying hydraulic properties: Geophysical Journal International, v. 155, no. 3, p. 899-913, https://doi.org/10.1111/j.1365-246X.2003.02104.x.","startPage":"899","endPage":"913","numberOfPages":"15","costCenters":[],"links":[{"id":478399,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2003.02104.x","text":"Publisher Index Page"},{"id":207952,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2003.02104.x"},{"id":233274,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"155","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a36afe4b0c8380cd60901","contributors":{"authors":[{"text":"Matsumoto, N.","contributorId":13788,"corporation":false,"usgs":true,"family":"Matsumoto","given":"N.","email":"","affiliations":[],"preferred":false,"id":402242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roeloffs, E.A.","contributorId":88742,"corporation":false,"usgs":true,"family":"Roeloffs","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":402243,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70024662,"text":"70024662 - 2003 - Stable lead isotopes reveal a natural source of high lead concentrations to gasoline-contaminated groundwater","interactions":[],"lastModifiedDate":"2018-11-16T10:51:06","indexId":"70024662","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1539,"text":"Environmental Geology","active":true,"publicationSubtype":{"id":10}},"title":"Stable lead isotopes reveal a natural source of high lead concentrations to gasoline-contaminated groundwater","docAbstract":"<p class=\"Para\">Concentrations of total lead as high as 1,600&nbsp;μg/L were detected in gasoline-contaminated and uncontaminated groundwater at three gasoline-release sites in South Carolina. Total lead concentrations were highest in turbid groundwater samples from gasoline-contaminated and uncontaminated wells, whereas lower turbidity groundwater samples (collected using low-flow methods) had lower total lead concentrations. Dissolved lead concentrations in all wells sampled, however, were less than 15&nbsp;μg total lead/L, the current United States Environmental Protection Agency (US EPA) maximum contaminant level (MCL). Because many total lead concentrations exceeded the MCL, the source of lead to the groundwater system at two of the three sites was investigated using a stable lead isotope ratio approach. Plots of the stable isotope ratios of lead (Pb) in groundwater as<span>&nbsp;</span><sup>207</sup>Pb/<sup>206</sup>Pb versus<span>&nbsp;</span><sup>208</sup>Pb/<sup>206</sup>Pb, and<span>&nbsp;</span><sup>208</sup>Pb/<sup>204</sup>Pb versus<span>&nbsp;</span><sup>206</sup>Pb/<sup>204</sup>Pb were similar to ratios characteristic of lead-based minerals in local rocks of the southeastern US, and were not similar to the stable lead isotopes ratios characteristic of distant lead ore deposits such as Broken Hill, Australia, used to produce tetraethyl lead in gasoline products prior to its phase-out and ban in the United States. Moreover, the isotopic composition of dissolved lead was equivalent to the isotopic composition of total lead in turbid samples collected from the same well, suggesting that the majority of the lead detected in the groundwater samples was associated with sediment particulates of indigenous aquifer material, rather than lead associated with spilled leaded gasoline. The results of this investigation indicate that (1) lead detected at some gasoline-release sites may be derived from the local aquifer material, rather than the gasoline release, and consequently may affect site-specific remediation goals; (2) non-low flow groundwater sampling methods, such as a disposable bailer, may result in turbid groundwater samples and high total lead concentrations, and; (3) stable lead isotopes can be used to clarify the source of lead detected above permissible levels in gasoline-contaminated groundwater systems.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00254-003-0863-5","issn":"09430105","usgsCitation":"Landmeyer, J., Bradley, P., and Bullen, T., 2003, Stable lead isotopes reveal a natural source of high lead concentrations to gasoline-contaminated groundwater: Environmental Geology, v. 45, no. 1, p. 12-22, https://doi.org/10.1007/s00254-003-0863-5.","productDescription":"11 p.","startPage":"12","endPage":"22","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":232918,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":207738,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00254-003-0863-5"}],"volume":"45","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9687e4b08c986b31b578","contributors":{"authors":[{"text":"Landmeyer, J. E.","contributorId":91140,"corporation":false,"usgs":true,"family":"Landmeyer","given":"J. E.","affiliations":[],"preferred":false,"id":402145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, P. M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":29465,"corporation":false,"usgs":true,"family":"Bradley","given":"P. M.","affiliations":[],"preferred":false,"id":402143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bullen, T.D.","contributorId":79911,"corporation":false,"usgs":true,"family":"Bullen","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":402144,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70024652,"text":"70024652 - 2003 - Hydrological response to earthquakes in the Haibara well, central Japan - I. Groundwater level changes revealed using state space decomposition of atmospheric pressure, rainfall and tidal responses","interactions":[],"lastModifiedDate":"2012-03-12T17:20:06","indexId":"70024652","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Hydrological response to earthquakes in the Haibara well, central Japan - I. Groundwater level changes revealed using state space decomposition of atmospheric pressure, rainfall and tidal responses","docAbstract":"For the groundwater level observed at the Haibara well, Shizuoka Prefecture, central Japan, time series analysis using state-space modelling is applied to extract hydrological anomalies related to earthquakes. This method can decompose observed groundwater level time series into five components: atmospheric pressure, tidal, and precipitation responses, observation noise, and residual water level. The decomposed responses to atmospheric pressure and precipitation are independently determined and are consistent with the expected response to surface loading. In the groundwater level at the Haibara well, 28 coseismic changes can be discerned during the period from 1981 April to 1997 December. There is a threshold in the relationship between earthquake magnitude and the well-hypocentre distance, above which earthquakes cause coseismic changes in the residual water level. All of the coseismic water level changes at the Haibara well are decreases, although 33 per cent of the estimated coseismic volumetric strain steps are contraction, which would be expected to cause water level increases. The coseismic changes in groundwater level are more closely proportional to the estimated ground motion than to coseismic volumetric strain steps, suggesting that ground motion due to earthquakes is the major cause of the coseismic water level drops and that the contribution from static strain is rather small. Possible pre- or inter-earthquake water level changes have occurred at the Haibara well and may have been caused by local aseismic crustal deformation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-246X.2003.02103.x","issn":"0956540X","usgsCitation":"Matsumoto, N., Kitagawa, G., and Roeloffs, E., 2003, Hydrological response to earthquakes in the Haibara well, central Japan - I. Groundwater level changes revealed using state space decomposition of atmospheric pressure, rainfall and tidal responses: Geophysical Journal International, v. 155, no. 3, p. 885-898, https://doi.org/10.1111/j.1365-246X.2003.02103.x.","startPage":"885","endPage":"898","numberOfPages":"14","costCenters":[],"links":[{"id":207978,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2003.02103.x"},{"id":233310,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"155","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a36aee4b0c8380cd608fb","contributors":{"authors":[{"text":"Matsumoto, N.","contributorId":13788,"corporation":false,"usgs":true,"family":"Matsumoto","given":"N.","email":"","affiliations":[],"preferred":false,"id":402106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kitagawa, G.","contributorId":51953,"corporation":false,"usgs":true,"family":"Kitagawa","given":"G.","email":"","affiliations":[],"preferred":false,"id":402107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roeloffs, E.A.","contributorId":88742,"corporation":false,"usgs":true,"family":"Roeloffs","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":402108,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70024634,"text":"70024634 - 2003 - An evaluation of sediment rating curves for estimating suspended sediment concentrations for subsequent flux calculations","interactions":[],"lastModifiedDate":"2012-03-12T17:20:07","indexId":"70024634","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","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":"An evaluation of sediment rating curves for estimating suspended sediment concentrations for subsequent flux calculations","docAbstract":"In the absence of actual suspended sediment concentration (SSC) measurements, hydrologists have used sediment rating (sediment transport) curves to estimate (predict) SSCs for subsequent flux calculations. Various evaluations of the sediment rating-curve method were made using data from long-term, daily sediment-measuring sites within large (>1 000 000 km2), medium (<1 000 000 to > 1000 km2), and small (<1000 km2) river basins in the USA and Europe relative to the estimation of suspended sediment fluxes. The evaluations address such issues as the accuracy of flux estimations for various levels of temporal resolution as well as the impact of sampling frequency on the magnitude of flux estimation errors. The sediment rating-curve method tends to underpredict high, and overpredict low SSCs. As such, the range of errors associated with concomitant flux estimates for relatively short time-frames (e.g. daily, weekly) are likely to be substantially larger than those associated with longer time-frames (e.g. quarterly, annually) because the over- and underpredictions do not have sufficient time to balance each other. Hence, when error limits must be kept under ??20%, temporal resolution probably should be limited to quarterly or greater. The evaluations indicate that over periods of 20 or more years, errors of <1% can be achieved using a single sediment rating curve based on data spanning the entire period. However, somewhat better estimates for the entire period, and markedly better annual estimates within the period, can be obtained if individual annual sediment rating curves are used instead. Relatively accurate (errors <??20%) annual suspended sediment fluxes can be obtained from hydrologically based monthly measurements/samples. For 5-year periods or longer, similar results can be obtained from measurements/samples collected once every 2 months. In either case, hydrologically based sampling, as opposed to calendar-based sampling is likely to limit the magnitude of flux estimation errors. Published in 2003 by John Wiley and Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/hyp.1299","issn":"08856087","usgsCitation":"Horowitz, A.J., 2003, An evaluation of sediment rating curves for estimating suspended sediment concentrations for subsequent flux calculations: Hydrological Processes, v. 17, no. 17, p. 3387-3409, https://doi.org/10.1002/hyp.1299.","startPage":"3387","endPage":"3409","numberOfPages":"23","costCenters":[],"links":[{"id":207803,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.1299"},{"id":233025,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"17","noUsgsAuthors":false,"publicationDate":"2003-08-21","publicationStatus":"PW","scienceBaseUri":"5059ea50e4b0c8380cd48797","contributors":{"authors":[{"text":"Horowitz, A. J.","contributorId":102066,"corporation":false,"usgs":true,"family":"Horowitz","given":"A.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":402045,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}