{"pageNumber":"220","pageRowStart":"5475","pageSize":"25","recordCount":16506,"records":[{"id":70032874,"text":"70032874 - 2009 - Hydraulic anisotropy characterization of pneumatic-fractured sediments using azimuthal self potential gradient","interactions":[],"lastModifiedDate":"2012-03-12T17:21:24","indexId":"70032874","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Hydraulic anisotropy characterization of pneumatic-fractured sediments using azimuthal self potential gradient","docAbstract":"The pneumatic fracturing technique is used to enhance the permeability and porosity of tight unconsolidated soils (e.g. clays), thereby improving the effectiveness of remediation treatments. Azimuthal self potential gradient (ASPG) surveys were performed on a compacted, unconsolidated clay block in order to evaluate their potential to delineate contaminant migration pathways in a mechanically-induced fracture network. Azimuthal resistivity (ARS) measurements were also made for comparative purposes. Following similar procedures to those used in the field, compressed kaolinite sediments were pneumatically fractured and the resulting fracture geometry characterized from strike analysis of visible fractures combined with strike data from optical borehole televiewer (BHTV) imaging. We subsequently injected a simulated treatment (electrolyte/dye) into the fractures. Both ASPG and ARS data exhibit anisotropic geoelectric signatures resulting from the fracturing. Self potentials observed during injection of electrolyte are consistent with electrokinetic theory and previous laboratory results on a fracture block model. Visual (polar plot) analysis and linear regression of cross plots show ASPG lobes are correlated with azimuths of high fracture strike density, evidence that the ASPG anisotropy is a proxy measure of hydraulic anisotropy created by the pneumatic fracturing. However, ARS data are uncorrelated with fracture strike maxima and resistivity anisotropy is probably dominated by enhanced surface conduction along azimuths of weak 'starter paths' formed from pulverization of the clay and increases in interfacial surface area. We find the magnitude of electrokinetic SP scales with the applied N2 gas pressure gradient (??PN2) for any particular hydraulically-active fracture set and that the positive lobe of the ASPG anomaly indicates the flow direction within the fracture network. These findings demonstrate the use of ASPG in characterizing the effectiveness of (1) pneumatic fracturing and (2) defining likely flow directions of remedial treatments in unconsolidated sediments and rock. ?? 2008 Elsevier 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/j.jconhyd.2008.09.023","issn":"01697","usgsCitation":"Wishart, D., Slater, L., Schnell, D., and Herman, G., 2009, Hydraulic anisotropy characterization of pneumatic-fractured sediments using azimuthal self potential gradient: Journal of Contaminant Hydrology, v. 103, no. 3-4, p. 134-144, https://doi.org/10.1016/j.jconhyd.2008.09.023.","startPage":"134","endPage":"144","numberOfPages":"11","costCenters":[],"links":[{"id":241610,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213935,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2008.09.023"}],"volume":"103","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a32dbe4b0c8380cd5eb21","contributors":{"authors":[{"text":"Wishart, D.N.","contributorId":32359,"corporation":false,"usgs":true,"family":"Wishart","given":"D.N.","email":"","affiliations":[],"preferred":false,"id":438323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, L.D.","contributorId":63229,"corporation":false,"usgs":true,"family":"Slater","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":438325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schnell, D.L.","contributorId":48770,"corporation":false,"usgs":true,"family":"Schnell","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":438324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herman, G.C.","contributorId":102215,"corporation":false,"usgs":true,"family":"Herman","given":"G.C.","email":"","affiliations":[],"preferred":false,"id":438326,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032875,"text":"70032875 - 2009 - Essentials of iron, chromium, and calcium isotope analysis of natural materials by thermal ionization mass spectrometry","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70032875","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Essentials of iron, chromium, and calcium isotope analysis of natural materials by thermal ionization mass spectrometry","docAbstract":"The use of isotopes to understand the behavior of metals in geological, hydrological, and biological systems has rapidly expanded in recent years. One of the mass spectrometric techniques used to analyze metal isotopes is thermal ionization mass spectrometry, or TIMS. While TIMS has been a useful analytical technique for the measurement of isotopic composition for decades and TIMS instruments are widely distributed, there are significant difficulties associated with using TIMS to analyze isotopes of the lighter alkaline earth elements and transition metals. Overcoming these difficulties to produce relatively long-lived and stable ion beams from microgram-sized samples is a non-trivial task. We focus here on TIMS analysis of three geologically and environmentally important elements (Fe, Cr, and Ca) and present an in-depth look at several key aspects that we feel have the greatest potential to trouble new users. Our discussion includes accessible descriptions of different analytical approaches and issues, including filament loading procedures, collector cup configurations, peak shapes and interferences, and the use of isotopic double spikes and related error estimation. Building on previous work, we present quantitative simulations, applied specifically in this study to Fe and Ca, that explore the effects of (1) time-variable evaporation of isotopically homogeneous spots from a filament and (2) interferences on the isotope ratios derived from a double spike subtraction routine. We discuss how and to what extent interferences at spike masses, as well as at other measured masses, affect the double spike-subtracted isotope ratio of interest (44Ca/40Ca in the case presented, though a similar analysis can be used to evaluate 56Fe/54Fe and 53Cr/52Cr). The conclusions of these simulations are neither intuitive nor immediately obvious, making this examination useful for those who are developing new methodologies. While all simulations are carried out in the context of a specific isotope system, it should be noted that the same methods can be used to evaluate any isotope system of interest. ?? 2008 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.chemgeo.2008.06.018","issn":"00092","usgsCitation":"Fantle, M., and Bullen, T., 2009, Essentials of iron, chromium, and calcium isotope analysis of natural materials by thermal ionization mass spectrometry: Chemical Geology, v. 258, no. 1-2, p. 50-64, https://doi.org/10.1016/j.chemgeo.2008.06.018.","startPage":"50","endPage":"64","numberOfPages":"15","costCenters":[],"links":[{"id":213961,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2008.06.018"},{"id":241638,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"258","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0a60e4b0c8380cd52320","contributors":{"authors":[{"text":"Fantle, M.S.","contributorId":84170,"corporation":false,"usgs":true,"family":"Fantle","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":438328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bullen, T.D.","contributorId":79911,"corporation":false,"usgs":true,"family":"Bullen","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":438327,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032974,"text":"70032974 - 2009 - Impacts of weathered tire debris on the development of Rana sylvatica larvae","interactions":[],"lastModifiedDate":"2018-10-08T07:40:00","indexId":"70032974","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of weathered tire debris on the development of Rana sylvatica larvae","docAbstract":"<p><span>Highway runoff has the potential to negatively impact receiving systems including stormwater retention ponds where highway particulate matter can accumulate following runoff events. Tire wear particles, which contain about 1% Zn by mass, make up approximately one-third of the vehicle derived particulates in highway runoff and therefore may serve as a stressor to organisms utilizing retention ponds as habitat. In this study, we focused on the potential contribution of tire debris to Zn accumulation by&nbsp;</span><i>Rana sylvatica</i><span>larvae and possible lethal or sublethal impacts resulting from exposure to weathered tire debris during development. Eggs and larvae were exposed to aged sediments (containing either ZnCl</span><sub>2</sub><span>&nbsp;or tire particulate matter, both providing nominal concentrations of 1000</span><span>&nbsp;</span><span>mg Zn kg</span><sup>−1</sup><span>) through metamorphosis. Water column Zn was elevated in both the ZnCl</span><sub>2</sub><span>&nbsp;and tire treatments relative to the control treatment, indicating that aging allowed Zn leaching from tire debris to occur. Tissue Zn was also elevated for the ZnCl</span><sub>2</sub><span>and tire treatments indicating that Zn in the treatments was available for uptake by the amphibians. Exposure to both ZnCl</span><sub>2</sub><span>&nbsp;and tire treatments increased the time for larvae to complete metamorphosis in comparison with controls. We also observed that the longer the organisms took to complete metamorphosis, the smaller their mass at metamorphosis. Our results indicate that Zn leached from aged tire debris is bioavailable to developing&nbsp;</span><i>R. sylvatica</i><span>larvae and that exposure to tire debris amended sediments can result in measurable physiological outcomes to wood frogs that may influence population dynamics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1016/j.chemosphere.2008.09.056","issn":"00456","usgsCitation":"Camponelli, K., Casey, R., Snodgrass, J., Lev, S., and Landa, E.R., 2009, Impacts of weathered tire debris on the development of Rana sylvatica larvae: Chemosphere, v. 74, no. 5, p. 717-722, https://doi.org/10.1016/j.chemosphere.2008.09.056.","productDescription":"6 p.","startPage":"717","endPage":"722","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241148,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213518,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemosphere.2008.09.056"}],"volume":"74","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3902e4b0c8380cd61785","contributors":{"authors":[{"text":"Camponelli, K.M.","contributorId":81699,"corporation":false,"usgs":true,"family":"Camponelli","given":"K.M.","affiliations":[],"preferred":false,"id":438794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casey, R.E.","contributorId":68543,"corporation":false,"usgs":true,"family":"Casey","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":438793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snodgrass, J.W.","contributorId":39102,"corporation":false,"usgs":true,"family":"Snodgrass","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":438792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lev, S.M.","contributorId":10230,"corporation":false,"usgs":true,"family":"Lev","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":438791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landa, E. R.","contributorId":100002,"corporation":false,"usgs":true,"family":"Landa","given":"E.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":438795,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032978,"text":"70032978 - 2009 - Wastewater effluent, combined sewer overflows, and other sources of organic compounds to Lake Champlain","interactions":[],"lastModifiedDate":"2018-10-12T08:31:01","indexId":"70032978","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Wastewater effluent, combined sewer overflows, and other sources of organic compounds to Lake Champlain","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p><strong>Abstract:<span>&nbsp;</span></strong>Some sources of organic wastewater compounds (OWCs) to streams, lakes, and estuaries, including wastewater‐treatment‐plant effluent, have been well documented, but other sources, particularly wet‐weather discharges from combined‐sewer‐overflow (CSO) and urban runoff, may also be major sources of OWCs. Samples of wastewater‐treatment‐plant (WWTP) effluent, CSO effluent, urban streams, large rivers, a reference (undeveloped) stream, and Lake Champlain were collected from March to August 2006. The highest concentrations of many OWCs associated with wastewater were in WWTP‐effluent samples, but high concentrations of some OWCs in samples of CSO effluent and storm runoff from urban streams subject to leaky sewer pipes or CSOs were also detected. Total concentrations and numbers of compounds detected differed substantially among sampling sites. The highest total OWC concentrations (10‐100 μg/l) were in samples of WWTP and CSO effluent. Total OWC concentrations in samples from urban streams ranged from 0.1 to 10 μg/l, and urban stream‐stormflow samples had higher concentrations than baseflow samples because of contributions of OWCs from CSOs and leaking sewer pipes. The relations between OWC concentrations in WWTP‐effluent and those in CSO effluent and urban streams varied with the degree to which the compound is removed through normal wastewater treatment. Concentrations of compounds that are highly removed during normal wastewater treatment [including caffeine, Tris(2‐butoxyethyl)phosphate, and cholesterol] were generally similar to or higher in CSO effluent than in WWTP effluent (and ranged from around 1 to over 10 μg/l) because CSO effluent is untreated, and were higher in urban‐stream stormflow samples than in baseflow samples as a result of CSO discharge and leakage from near‐surface sources during storms. Concentrations of compounds that are poorly removed during treatment, by contrast, are higher in WWTP effluent than in CSO, due to dilution. Results indicate that CSO effluent and urban stormwaters can be a significant major source of OWCs entering large water bodies such as Burlington Bay.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2008.00288.x","issn":"10934","usgsCitation":"Phillips, P., and Chalmers, A., 2009, Wastewater effluent, combined sewer overflows, and other sources of organic compounds to Lake Champlain: Journal of the American Water Resources Association, v. 45, no. 1, p. 45-57, https://doi.org/10.1111/j.1752-1688.2008.00288.x.","productDescription":"13 p.","startPage":"45","endPage":"57","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241217,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213579,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2008.00288.x"}],"volume":"45","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-01-27","publicationStatus":"PW","scienceBaseUri":"505bc3fae4b08c986b32b43a","contributors":{"authors":[{"text":"Phillips, P.","contributorId":97328,"corporation":false,"usgs":true,"family":"Phillips","given":"P.","affiliations":[],"preferred":false,"id":438811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalmers, A.","contributorId":96858,"corporation":false,"usgs":true,"family":"Chalmers","given":"A.","email":"","affiliations":[],"preferred":false,"id":438810,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033062,"text":"70033062 - 2009 - A conceptual framework for dryland aeolian sediment transport along the grassland–forest continuum: Effects of woody plant canopy cover and disturbance","interactions":[],"lastModifiedDate":"2018-01-23T09:25:58","indexId":"70033062","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"A conceptual framework for dryland aeolian sediment transport along the grassland–forest continuum: Effects of woody plant canopy cover and disturbance","docAbstract":"<div id=\"aep-abstract-sec-id18\"><p>Aeolian processes are of particular importance in dryland ecosystems where ground cover is inherently sparse because of limited precipitation. Dryland ecosystems include grassland, shrubland, savanna, woodland, and forest, and can be viewed collectively as a continuum of woody plant cover spanning from grasslands with no woody plant cover up to forests with nearly complete woody plant cover. Along this continuum, the spacing and shape of woody plants determine the spatial density of roughness elements, which directly affects aeolian sediment transport. Despite the extensiveness of dryland ecosystems, studies of aeolian sediment transport have generally focused on agricultural fields, deserts, or highly disturbed sites where rates of transport are likely to be greatest. Until recently, few measurements have been made of aeolian sediment transport over multiple wind events and across a variety of types of dryland ecosystems. To evaluate potential trends in aeolian sediment transport as a function of woody plant cover, estimates of aeolian sediment transport from recently published studies, in concert with rates from four additional locations (two grassland and two woodland sites), are reported here. The synthesis of these reports leads to the development of a new conceptual framework for aeolian sediment transport in dryland ecosystems along the grassland–forest continuum.</p><p>The findings suggest that: (1) for relatively undisturbed ecosystems, shrublands have inherently greater aeolian sediment transport because of wake interference flow associated with intermediate levels of density and spacing of woody plants; and (2) for disturbed ecosystems, the upper bound for aeolian sediment transport decreases as a function of increasing amounts of woody plant cover because of the effects of the height and density of the canopy on airflow patterns and ground cover associated with woody plant cover. Consequently, aeolian sediment transport following disturbance spans the largest range of rates in grasslands and associated systems with no woody plants (e.g., agricultural fields), an intermediate range in shrublands, and a relatively small range in woodlands and forests. These trends are consistent with previous observations relating large rates of wind erosion to intermediate values for spatial density of roughness elements. The framework for aeolian sediment transport, which is also relevant to dust fluxes, wind erosion, and related aeolian processes, is applicable to a diverse suite of environmental challenges, including land degradation and desertification, dust storms, contaminant transport, and alterations of the hydrological cycle.</p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2007.12.018","usgsCitation":"Breshears, D., Whicker, J., Zou, C., Field, J., and Allen, C.D., 2009, A conceptual framework for dryland aeolian sediment transport along the grassland–forest continuum: Effects of woody plant canopy cover and disturbance: Geomorphology, v. 105, no. 1-2, p. 28-38, https://doi.org/10.1016/j.geomorph.2007.12.018.","productDescription":"11 p.","startPage":"28","endPage":"38","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":240946,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e393e4b0c8380cd460de","contributors":{"authors":[{"text":"Breshears, D.D.","contributorId":17952,"corporation":false,"usgs":false,"family":"Breshears","given":"D.D.","email":"","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":439212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whicker, J.J.","contributorId":35129,"corporation":false,"usgs":true,"family":"Whicker","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":439213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zou, C.B.","contributorId":60027,"corporation":false,"usgs":true,"family":"Zou","given":"C.B.","email":"","affiliations":[],"preferred":false,"id":439216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Field, J.P.","contributorId":46773,"corporation":false,"usgs":true,"family":"Field","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":439215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":439214,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033204,"text":"70033204 - 2009 - Temporal variations of Escherichia coli concentrations in a large Midwestern river","interactions":[],"lastModifiedDate":"2012-03-12T17:21:39","indexId":"70033204","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Temporal variations of Escherichia coli concentrations in a large Midwestern river","docAbstract":"The Raccoon River used by the Des Moines Water Works to serve more than 400,000 people in central Iowa is threatened by contamination from Escherichia coli bacteria from point and nonpoint sources. The 9389 km2 watershed is highly agricultural, with 73% of the land in row crop production and widespread animal production. Results from 2155 grab samples from 1997 to 2005 for E. coli analysis were examined for temporal variations. E. coli concentrations were found to vary across years, seasons, and flow conditions, with a 9-year mean value of 1156 most probable number (MPN)/100 ml. Monthly concentrations exhibited clear seasonality with highest values in May through July. Although E. coli concentrations were higher during periods of greater discharge, the relation of log E. coli to log discharge was not particularly strong (r2 = 0.35). The variogram of E. coli concentrations showed temporal correlation within a span of 4 days suggesting that concentrations measured on 1 day may be related in time to concentrations measured up to 3 days later and beyond 4 days the concentrations vary randomly. The spectral analysis of the time series of E. coli was also carried out and was fitted well with the spectrum of an exponential covariance function. Deciphering temporal patterns and correlation of E. coli bacteria in streams may be useful for developing future monitoring strategies to track concentration patterns and loads. ?? 2008 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.2008.11.029","issn":"00221","usgsCitation":"Schilling, K.E., Zhang, Y., Hill, D., Jones, C., and Wolter, C., 2009, Temporal variations of Escherichia coli concentrations in a large Midwestern river: Journal of Hydrology, v. 365, no. 1-2, p. 79-85, https://doi.org/10.1016/j.jhydrol.2008.11.029.","startPage":"79","endPage":"85","numberOfPages":"7","costCenters":[],"links":[{"id":213396,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2008.11.029"},{"id":241019,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"365","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba52ee4b08c986b320885","contributors":{"authors":[{"text":"Schilling, K. E.","contributorId":61982,"corporation":false,"usgs":true,"family":"Schilling","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":439825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Y.-K.","contributorId":44309,"corporation":false,"usgs":true,"family":"Zhang","given":"Y.-K.","email":"","affiliations":[],"preferred":false,"id":439824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, D.R.","contributorId":30455,"corporation":false,"usgs":true,"family":"Hill","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":439823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, C.S.","contributorId":69368,"corporation":false,"usgs":true,"family":"Jones","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":439826,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolter, C.F.","contributorId":23301,"corporation":false,"usgs":true,"family":"Wolter","given":"C.F.","email":"","affiliations":[],"preferred":false,"id":439822,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037451,"text":"70037451 - 2009 - Urban streams across the USA: Lessons learned from studies in 9 metropolitan areas","interactions":[],"lastModifiedDate":"2021-02-04T21:34:54.194429","indexId":"70037451","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Urban streams across the USA: Lessons learned from studies in 9 metropolitan areas","docAbstract":"<p><span>Studies of the effects of urbanization on stream ecosystems have usually focused on single metropolitan areas. Synthesis of the results of such studies have been useful in developing general conceptual models of the effects of urbanization, but the strength of such generalizations is enhanced by applying consistent study designs and methods to multiple metropolitan areas across large geographic scales. We summarized the results from studies of the effects of urbanization on stream ecosystems in 9 metropolitan areas across the US (Boston, Massachusetts; Raleigh, North Carolina; Atlanta, Georgia; Birmingham, Alabama; Milwaukee-Green Bay, Wisconsin; Denver, Colorado; Dallas-Fort Worth, Texas; Salt Lake City, Utah; and Portland, Oregon). These studies were conducted as part of the US Geological Survey’s National Water-Quality Assessment Program and were based on a common study design and used standard sample-collection and processing methods to facilitate comparisons among study areas. All studies included evaluations of hydrology, physical habitat, water quality, and biota (algae, macroinvertebrates, fish). Four major conclusions emerged from the studies. First, responses of hydrologic, physical-habitat, water-quality, and biotic variables to urbanization varied among metropolitan areas, except that insecticide inputs consistently increased with urbanization. Second, prior land use, primarily forest and agriculture, appeared to be the most important determinant of the response of biota to urbanization in the areas we studied. Third, little evidence was found for resistance to the effects of urbanization by macroinvertebrate assemblages, even at low levels of urbanization. Fourth, benthic macroinvertebrates have important advantages for assessing the effects of urbanization on stream ecosystems relative to algae and fishes. Overall, our results demonstrate regional differences in the effects of urbanization on stream biota and suggest additional studies to elucidate the causes of these underlying differences.</span></p>","language":"English","publisher":"University of Chicago Press","doi":"10.1899/08-153.1","usgsCitation":"Brown, L.R., Cuffney, T.F., Coles, J.F., Fitzpatrick, F., McMahon, G., Steuer, J., Bell, A.H., and May, J.T., 2009, Urban streams across the USA: Lessons learned from studies in 9 metropolitan areas: Journal of the North American Benthological Society, v. 28, no. 4, p. 1051-1069, https://doi.org/10.1899/08-153.1.","productDescription":"19 p.","startPage":"1051","endPage":"1069","numberOfPages":"19","ipdsId":"IP-008405","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":476403,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1899/08-153.1","text":"External Repository"},{"id":245358,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Colorado, Georgia, Massachusetts, North Carolina, Oregon, Texas, Utah, Wisconsin","city":"Atlanta, Birrmingham, Boston, Dallas-Fort Worth, Denver, Milwaukee-Green Bay, Portland, Raleigh, Salt Lake City","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.70458984375,\n              33.394759218577995\n            ],\n            [\n              -83.935546875,\n              33.394759218577995\n            ],\n            [\n              -83.935546875,\n              34.03445260967645\n            ],\n            [\n              -84.70458984375,\n              34.03445260967645\n            ],\n            [\n              -84.70458984375,\n              33.394759218577995\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.03564453124999,\n              35.42486791930558\n            ],\n            [\n              -78.33251953125,\n              35.42486791930558\n            ],\n            [\n              -78.33251953125,\n              36.19109202182454\n            ],\n            [\n              -79.03564453124999,\n              36.19109202182454\n            ],\n            [\n              -79.03564453124999,\n              35.42486791930558\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.4111328125,\n              42.17968819665961\n            ],\n            [\n              -70.94970703125,\n              42.17968819665961\n            ],\n            [\n              -70.94970703125,\n              42.68243539838623\n            ],\n            [\n              -71.4111328125,\n              42.68243539838623\n            ],\n            [\n              -71.4111328125,\n              42.17968819665961\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.26416015625,\n              42.956422511073335\n            ],\n            [\n              -87.62695312499999,\n              42.956422511073335\n            ],\n            [\n              -87.62695312499999,\n              44.63739123445585\n            ],\n            [\n              -88.26416015625,\n              44.63739123445585\n            ],\n            [\n              -88.26416015625,\n              42.956422511073335\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.5146484375,\n              32.509761735919426\n            ],\n            [\n              -96.21826171874999,\n              32.509761735919426\n            ],\n            [\n              -96.21826171874999,\n              33.100745405144245\n            ],\n            [\n              -97.5146484375,\n              33.100745405144245\n            ],\n            [\n              -97.5146484375,\n              32.509761735919426\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.19238281249999,\n              40.38002840251183\n            ],\n            [\n              -111.51123046875,\n              40.38002840251183\n            ],\n            [\n              -111.51123046875,\n              41.21172151054787\n            ],\n            [\n              -112.19238281249999,\n              41.21172151054787\n            ],\n            [\n              -112.19238281249999,\n              40.38002840251183\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.98095703125,\n              45.259422036351694\n            ],\n            [\n              -122.27783203125,\n              45.259422036351694\n            ],\n            [\n              -122.27783203125,\n              45.73685954736049\n            ],\n            [\n              -122.98095703125,\n              45.73685954736049\n            ],\n            [\n              -122.98095703125,\n              45.259422036351694\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.20947265625,\n              33.15594830078649\n            ],\n            [\n              -86.55029296875,\n              33.15594830078649\n            ],\n            [\n              -86.55029296875,\n              33.94335994657882\n            ],\n            [\n              -87.20947265625,\n              33.94335994657882\n            ],\n            [\n              -87.20947265625,\n              33.15594830078649\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.35888671875,\n              39.40224434029275\n            ],\n            [\n              -104.65576171875,\n              39.40224434029275\n            ],\n            [\n              -104.65576171875,\n              39.9434364619742\n            ],\n            [\n              -105.35888671875,\n              39.9434364619742\n            ],\n            [\n              -105.35888671875,\n              39.40224434029275\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbe18e4b08c986b3293f8","contributors":{"authors":[{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":461111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":461117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coles, James F. 0000-0002-1953-012X jcoles@usgs.gov","orcid":"https://orcid.org/0000-0002-1953-012X","contributorId":2239,"corporation":false,"usgs":true,"family":"Coles","given":"James","email":"jcoles@usgs.gov","middleInitial":"F.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":461113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":150001,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":461114,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMahon, Gerard 0000-0001-7675-777X gmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-777X","contributorId":191488,"corporation":false,"usgs":true,"family":"McMahon","given":"Gerard","email":"gmcmahon@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":461115,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steuer, Jeffrey","contributorId":97530,"corporation":false,"usgs":true,"family":"Steuer","given":"Jeffrey","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":461110,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bell, Amanda H. 0000-0002-7199-2145 ahbell@usgs.gov","orcid":"https://orcid.org/0000-0002-7199-2145","contributorId":1752,"corporation":false,"usgs":true,"family":"Bell","given":"Amanda","email":"ahbell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":461116,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":617,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":461112,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70033958,"text":"70033958 - 2009 - Isotopic composition of low-latitude paleoprecipitation during the Early Cretaceous","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033958","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic composition of low-latitude paleoprecipitation during the Early Cretaceous","docAbstract":"The response of the hydrologic cycle in global greenhouse conditions is important to our understanding of future climate change and to the calibration of global climate models. Past greenhouse conditions, such as those of the Cretaceous, can be used to provide empirical data with which to evaluate climate models. Recent empirical studies have utilized pedogenic carbonates to estimate the isotopic composition of meteoric waters and calculate precipitation rates for the AptianAlbian. These studies were limited to data from mid(35??N) to high (75??N) paleolatitudes, and thus future improvements in accuracy will require more estimates of meteoric water compositions from numerous localities around the globe. This study provides data for tropical latitudes (18.5??N paleolatitude) from the Tlayua Formation, Puebla, Mexico. In addition, the study confirms a shallow nearshore depositional environment for the Tlayua Formation. Petrographic observations of fenestral fabrics, gypsum crystal molds, stromatolitic structures, and pedogenic matrix birefringence fabric support the interpretation that the strata represent deposition in a tidal flat environment. Carbonate isotopic data from limestones of the Tlayua Formation provide evidence of early meteoric diagenesis in the form of meteoric calcite lines. These trends in ??<sup>18</sup>O versus ??<sup>13</sup>C were used to calculate the mean ??<sup>18</sup>O value of meteoric water, which is estimated at -5.46 ?? 0.56??? (Vienna Standard Mean Ocean Water [VSMOW]). Positive linear covariant trends in oxygen and carbon isotopic values from some horizons were used to estimate evaporative losses of vadose groundwater from tropical exposure surfaces during the Albian, and the resulting values range from 8% to 12%. However, the presence of evaporative mineral molds indicates more extensive evaporation. The added tropical data improve latitudinal coverage of paleoprecipitation ??18O estimates. The data presented here imply that earlier isotope mass balance models most likely underestimated tropical to subtropical precipitation and evaporation fluxes. The limited latitudinal constraints for earlier isotope mass balance modeling of the Albian hydrologic cycle of the Northern Hemisphere Americas resulted in extrapolated low-latitude precipitation ??<sup>18</sup>O values that were much heavier (up to 3???) than the values observed in this study. The lighter values identified in this study indicate a more pronounced rainout effect for tropical regions and quite possibly a more vigorous evaporation effect. These and additional low-latitude data are required to better constrain changes in the hydrologic cycle during the Cretaceous greenhouse period, and to reduce the uncertainties resulting from limited geographic coverage of proxy data. ?? 2009 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society of America Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/B26453.1","issn":"00167606","usgsCitation":"Suarez, M., Gonzalez, L.A., Ludvigson, G.A., Vega, F., and Alvarado-Ortega, J., 2009, Isotopic composition of low-latitude paleoprecipitation during the Early Cretaceous: Geological Society of America Bulletin, v. 121, no. 11-12, p. 1584-1595, https://doi.org/10.1130/B26453.1.","startPage":"1584","endPage":"1595","numberOfPages":"12","costCenters":[],"links":[{"id":214243,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B26453.1"},{"id":241943,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2009-08-28","publicationStatus":"PW","scienceBaseUri":"505a3fa3e4b0c8380cd646a4","contributors":{"authors":[{"text":"Suarez, M.B.","contributorId":18589,"corporation":false,"usgs":true,"family":"Suarez","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":443397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez, Luis A.","contributorId":20922,"corporation":false,"usgs":true,"family":"Gonzalez","given":"Luis","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":443398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludvigson, Greg A.","contributorId":80803,"corporation":false,"usgs":true,"family":"Ludvigson","given":"Greg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":443399,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vega, F.J.","contributorId":97337,"corporation":false,"usgs":true,"family":"Vega","given":"F.J.","email":"","affiliations":[],"preferred":false,"id":443401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alvarado-Ortega, J.","contributorId":84574,"corporation":false,"usgs":true,"family":"Alvarado-Ortega","given":"J.","email":"","affiliations":[],"preferred":false,"id":443400,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033999,"text":"70033999 - 2009 - Water balance dynamics in the Nile Basin","interactions":[],"lastModifiedDate":"2017-04-05T11:19:47","indexId":"70033999","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Water balance dynamics in the Nile Basin","docAbstract":"<p><span>Understanding the temporal and spatial dynamics of key water balance components of the Nile River will provide important information for the management of its water resources. This study used satellite-derived rainfall and other key weather variables derived from the Global Data Assimilation System to estimate and map the distribution of rainfall, actual evapotranspiration (ETa), and runoff. Daily water balance components were modelled in a grid-cell environment at 0·1 degree (∼10 km) spatial resolution for 7 years from 2001 through 2007. Annual maps of the key water balance components and derived variables such as runoff and ETa as a percent of rainfall were produced. Generally, the spatial patterns of rainfall and ETa indicate high values in the upstream watersheds (Uganda, southern Sudan, and southwestern Ethiopia) and low values in the downstream watersheds. However, runoff as a percent of rainfall is much higher in the Ethiopian highlands around the Blue Nile subwatershed. The analysis also showed the possible impact of land degradation in the Ethiopian highlands in reducing ETa magnitudes despite the availability of sufficient rainfall. Although the model estimates require field validation for the different subwatersheds, the runoff volume estimate for the Blue Nile subwatershed is within 7·0% of a figure reported from an earlier study. Further research is required for a thorough validation of the results and their integration with ecohydrologic models for better management of water and land resources in the various Nile Basin ecosystems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.7364","issn":"08856087","usgsCitation":"Senay, G.B., Asante, K., and Artan, G.A., 2009, Water balance dynamics in the Nile Basin: Hydrological Processes, v. 23, no. 26, p. 3675-3681, https://doi.org/10.1002/hyp.7364.","productDescription":"7 p.","startPage":"3675","endPage":"3681","numberOfPages":"7","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244730,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216834,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7364"}],"volume":"23","issue":"26","noUsgsAuthors":false,"publicationDate":"2009-08-26","publicationStatus":"PW","scienceBaseUri":"505bc7c2e4b08c986b32c5f2","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":443581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asante, Kwabena 0000-0001-5408-1852","orcid":"https://orcid.org/0000-0001-5408-1852","contributorId":65948,"corporation":false,"usgs":true,"family":"Asante","given":"Kwabena","affiliations":[],"preferred":false,"id":443583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Artan, Guleid A. 0000-0001-8409-6182 gartan@usgs.gov","orcid":"https://orcid.org/0000-0001-8409-6182","contributorId":2938,"corporation":false,"usgs":true,"family":"Artan","given":"Guleid","email":"gartan@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":443582,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034180,"text":"70034180 - 2009 - Estimating transition probabilities among everglades wetland communities using multistate models","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034180","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Estimating transition probabilities among everglades wetland communities using multistate models","docAbstract":"In this study we were able to provide the first estimates of transition probabilities of wet prairie and slough vegetative communities in Water Conservation Area 3A (WCA3A) of the Florida Everglades and to identify the hydrologic variables that determine these transitions. These estimates can be used in management models aimed at restoring proportions of wet prairie and slough habitats to historical levels in the Everglades. To determine what was driving the transitions between wet prairie and slough communities we evaluated three hypotheses: seasonality, impoundment, and wet and dry year cycles using likelihood-based multistate models to determine the main driver of wet prairie conversion in WCA3A. The most parsimonious model included the effect of wet and dry year cycles on vegetative community conversions. Several ecologists have noted wet prairie conversion in southern WCA3A but these are the first estimates of transition probabilities among these community types. In addition, to being useful for management of the Everglades we believe that our framework can be used to address management questions in other ecosystems. ?? 2009 The Society of Wetland Scientists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1672/09-014S.1","issn":"02775212","usgsCitation":"Hotaling, A., Martin, J., and Kitchens, W., 2009, Estimating transition probabilities among everglades wetland communities using multistate models: Wetlands, v. 29, no. 4, p. 1224-1233, https://doi.org/10.1672/09-014S.1.","startPage":"1224","endPage":"1233","numberOfPages":"10","costCenters":[],"links":[{"id":216606,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1672/09-014S.1"},{"id":244486,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b68e4b0c8380cd526e9","contributors":{"authors":[{"text":"Hotaling, A.S.","contributorId":102297,"corporation":false,"usgs":true,"family":"Hotaling","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":444471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, J.","contributorId":18871,"corporation":false,"usgs":true,"family":"Martin","given":"J.","affiliations":[],"preferred":false,"id":444469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kitchens, W.M.","contributorId":87647,"corporation":false,"usgs":true,"family":"Kitchens","given":"W.M.","affiliations":[],"preferred":false,"id":444470,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037398,"text":"70037398 - 2009 - Hydrologic control of nitrogen removal, storage, and export in a mountain stream","interactions":[],"lastModifiedDate":"2021-03-05T20:42:48.335062","indexId":"70037398","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic control of nitrogen removal, storage, and export in a mountain stream","docAbstract":"<p><span>Nutrient cycling and export in streams and rivers should vary with flow regime, yet most studies of stream nutrient transformation do not include hydrologic variability. We used a stable isotope tracer of nitrogen (</span><sup>15</sup><span>N) to measure nitrate (NO</span><sub>3</sub><sup>−</sup><span>) uptake, storage, and export in a mountain stream, Spring Creek, Idaho, U.S.A. We conducted two tracer tests of 2‐week duration during snowmelt and baseflow. Dissolved and particulate forms of&nbsp;</span><sup>15</sup><span>N were monitored over three seasons to test the hypothesis that stream N cycling would be dominated by export during floods, and storage during low flow. Floods exported more N than during baseflow conditions; however, snowmelt floods had higher than expected demand for NO</span><sub>3</sub><sup>−</sup><span>&nbsp;because of hyporheic exchange. residence times of benthic N during both tracer tests were longer than 100 d for ephemeral pools such as benthic algae and wood biofilms. Residence times were much longer in fine detritus, insects, and the particulate N from the hyporheic zone, showing that assimilation and hydrologic storage can be important mechanisms for retaining particulate N. Of the tracer N stored in the stream, the primary form of export was via seston during periods of high flows, produced by summer rainstorms or spring snowmelt the following year. Spring Creek is not necessarily a conduit for nutrients during high flow; hydrologic exchange between the stream and its valley represents an important storage mechanism.</span></p>","language":"English","publisher":"American Society of Limnology and Oceanography","doi":"10.4319/lo.2009.54.6.2128","issn":"00243590","usgsCitation":"Hall, R., Baker, M.A., Arp, C., and Kocha, B., 2009, Hydrologic control of nitrogen removal, storage, and export in a mountain stream: Limnology and Oceanography, v. 54, no. 6, p. 2128-2142, https://doi.org/10.4319/lo.2009.54.6.2128.","productDescription":"15 p.","startPage":"2128","endPage":"2142","costCenters":[],"links":[{"id":476314,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4319/lo.2009.54.6.2128","text":"Publisher Index Page"},{"id":384202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Idaho","otherGeospatial":"Spring Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.8955078125,\n              42.032974332441405\n            ],\n            [\n              -110.9619140625,\n              42.032974332441405\n            ],\n            [\n              -110.9619140625,\n              44.43377984606822\n            ],\n            [\n              -112.8955078125,\n              44.43377984606822\n            ],\n            [\n              -112.8955078125,\n              42.032974332441405\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"54","issue":"6","noUsgsAuthors":false,"publicationDate":"2009-08-27","publicationStatus":"PW","scienceBaseUri":"505a35a8e4b0c8380cd600e6","contributors":{"authors":[{"text":"Hall, R.O.","contributorId":94890,"corporation":false,"usgs":true,"family":"Hall","given":"R.O.","affiliations":[],"preferred":false,"id":460879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, M. A.","contributorId":94849,"corporation":false,"usgs":false,"family":"Baker","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":460878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arp, C.D.","contributorId":54715,"corporation":false,"usgs":true,"family":"Arp","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":460876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kocha, B.J.","contributorId":69818,"corporation":false,"usgs":true,"family":"Kocha","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":460877,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037367,"text":"70037367 - 2009 - Arsenic in the evolution of earth and extraterrestrial ecosystems","interactions":[],"lastModifiedDate":"2018-10-12T10:29:39","indexId":"70037367","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Arsenic in the evolution of earth and extraterrestrial ecosystems","docAbstract":"<div class=\"quote\"><p>If you were asked to speculate about the form extra-terrestrial life on Mars might take, which geomicrobial phenomenon might you select as a model system, assuming that life on Mars would be ‘primitive’? Give your reasons.</p></div><p><br></p><p>At the end of my senior year at Rensselaer Polytechnic Institute in 1968, I took Professor Ehrlich's final for his Geomicrobiology course. The above question beckoned to me like the Sirens to Odysseus, for if I answered, it would take so much time and thought that I would never get around to the exam's other essay questions and consequently, would be “shipwrecked” by flunking the course. So, I passed it up. With this 41-year perspective in mind, this manuscript is now submitted to Professor Ehrlich for (belated) “extra-credit.” R.S. Oremland</p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/01490450903102525","issn":"01490451","usgsCitation":"Oremland, R., Saltikov, C., Wolfe-Simon, F., and Stolz, J., 2009, Arsenic in the evolution of earth and extraterrestrial ecosystems: Geomicrobiology Journal, v. 26, no. 7, p. 522-536, https://doi.org/10.1080/01490450903102525.","productDescription":"15 p.","startPage":"522","endPage":"536","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":217123,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01490450903102525"},{"id":245040,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed95e4b0c8380cd498ba","contributors":{"authors":[{"text":"Oremland, R.S.","contributorId":97512,"corporation":false,"usgs":true,"family":"Oremland","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":460678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saltikov, C.W.","contributorId":16216,"corporation":false,"usgs":true,"family":"Saltikov","given":"C.W.","email":"","affiliations":[],"preferred":false,"id":460675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolfe-Simon, Felisa","contributorId":37167,"corporation":false,"usgs":true,"family":"Wolfe-Simon","given":"Felisa","affiliations":[],"preferred":false,"id":460676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stolz, J.F.","contributorId":94022,"corporation":false,"usgs":true,"family":"Stolz","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":460677,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034391,"text":"70034391 - 2009 - Introduction to special section on impacts of land use change on water resources","interactions":[],"lastModifiedDate":"2018-10-03T10:46:28","indexId":"70034391","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Introduction to special section on impacts of land use change on water resources","docAbstract":"<p><span>Changes in land use have potentially large impacts on water resources, yet quantifying these impacts remains among the more challenging problems in hydrology. Water, food, energy, and climate are linked through complex webs of direct and indirect effects and feedbacks. Land use is undergoing major changes due not only to pressures for more efficient food, feed, and fiber production to support growing populations but also due to policy shifts that are creating markets for biofuel and agricultural carbon sequestration. Hydrologic systems embody flows of water, solutes, sediments, and energy that vary even in the absence of human activity. Understanding land use impacts thus necessitates integrated scientific approaches. Field measurements, remote sensing, and modeling studies are shedding new light on the modes and mechanisms by which land use changes impact water resources. Such studies can help deconflate the interconnected influences of human actions and natural variations on the quantity and quality of soil water, surface water, and groundwater, past, present, and future.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009WR007937","usgsCitation":"Stonestrom, D.A., Scanlon, B., and Zhang, L., 2009, Introduction to special section on impacts of land use change on water resources: Water Resources Research, v. 45, no. 7, Article W00A00; 3 p., https://doi.org/10.1029/2009WR007937.","productDescription":"Article W00A00; 3 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":244753,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"7","noUsgsAuthors":false,"publicationDate":"2009-06-17","publicationStatus":"PW","scienceBaseUri":"505a3df2e4b0c8380cd63994","contributors":{"authors":[{"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":445573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scanlon, Bridget R.","contributorId":74093,"corporation":false,"usgs":true,"family":"Scanlon","given":"Bridget R.","affiliations":[],"preferred":false,"id":445572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Lu","contributorId":105238,"corporation":false,"usgs":true,"family":"Zhang","given":"Lu","email":"","affiliations":[],"preferred":false,"id":445571,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037339,"text":"70037339 - 2009 - Dike intrusions into bituminous coal, Illinois Basin: H, C, N, O isotopic responses to rapid and brief heating","interactions":[],"lastModifiedDate":"2012-03-12T17:22:08","indexId":"70037339","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Dike intrusions into bituminous coal, Illinois Basin: H, C, N, O isotopic responses to rapid and brief heating","docAbstract":"Unlike long-term heating in subsiding sedimentary basins, the near-instantaneous thermal maturation of sedimentary organic matter near magmatic intrusions is comparable to artificial thermal maturation in the laboratory in terms of short duration and limited extent. This study investigates chemical and H, C, N, O isotopic changes in high volatile bituminous coal near two Illinois dike contacts and compares observed patterns and trends with data from other published studies and from artificial maturation experiments. Our study pioneers in quantifying isotopically exchangeable hydrogen and measuring the D/H (i.e., <sup>2</sup>H/<sup>1</sup>H) ratio of isotopically non-exchangeable organic hydrogen in kerogen near magmatic contacts. Thermal stress in coal caused a reduction of isotopically exchangeable hydrogen in kerogen from 5% to 6% in unaltered coal to 2-3% at contacts, mostly due to elimination of functional groups (e.g., {single bond}OH, {single bond}COOH, {single bond}NH<sub>2</sub>). In contrast to all previously published data on D/H in thermally matured organic matter, the more mature kerogen near the two dike contacts is D-depleted, which is attributed to (i) thermal elimination of D-enriched functional groups, and (ii) thermal drying of hydrologically isolated coal prior to the onset of cracking reactions, thereby precluding D-transfer from relatively D-enriched water into kerogen. Maxima in organic nitrogen concentration and in the atomic N/C ratio of kerogen at a distance of ???2.5 to ???3.5 m from the thicker dike indicate that reactive N-compounds had been pyrolytically liberated at high temperature closer to the contact, migrated through the coal seam, and recombined with coal kerogen in a zone of lower temperature. The same principle extends to organic carbon, because a strong ??<sup>13</sup>C<sub>kerogen</sub> vs. ??<sup>15</sup>N<sub>kerogen</sub> correlation across 5.5 m of coal adjacent to the thicker dike indicates that coal was functioning as a flow-through reactor along a dynamic thermal gradient facilitating back-reactions between mobile pyrolysis products from the hot zone as they encounter less hot kerogen. Vein and cell filling carbonate is most abundant in highest rank coals where carbonate ??<sup>13</sup>C<sub>VPDB</sub> and ??<sup>18</sup>O<sub>VSMOW</sub> values are consistent with thermal generation of <sup>13</sup>C-depleted and <sup>18</sup>O-enriched CO<sub>2</sub> from decarboxylation and pyrolysis of organic matter. Lower background concentrations of <sup>13</sup>C-enriched carbonate in thermally unaffected coal may be linked to <sup>13</sup>C-enrichment in residual CO<sub>2</sub> in the process of CO<sub>2</sub> reduction via microbial methanogenesis. Our compilation and comparison of available organic H, C, N isotopic findings on magmatic intrusions result in re-assessments of majors factors influencing isotopic shifts in kerogen during magmatic heating. (i) Thermally induced shifts in organic ??D values of kerogen are primarily driven by the availability of water or steam. Hydrologic isolation (e.g., near Illinois dikes) results in organic D-depletion in kerogen, whereas more common hydrologic connectivity results in organic D-enrichment. (ii) Shifts in kerogen (or coal) ??<sup>13</sup>C and ??<sup>15</sup>N values are typically small and may follow sinusoidal patterns over short distances from magmatic contacts. Laterally limited sampling strategies may thus result in misleading and non-representative data. (iii) Fluid transport of chemically active, mobile carbon and nitrogen species and recombination reactions with kerogen result in isotopic changes in kerogen that are unrelated to the original, autochthonous part of kerogen. ?? 2009 Elsevier Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.gca.2009.07.027","issn":"00167037","usgsCitation":"Schimmelmann, A., Mastalerz, M., Gao, L., Sauer, P., and Topalov, K., 2009, Dike intrusions into bituminous coal, Illinois Basin: H, C, N, O isotopic responses to rapid and brief heating: Geochimica et Cosmochimica Acta, v. 73, no. 20, p. 6264-6281, https://doi.org/10.1016/j.gca.2009.07.027.","startPage":"6264","endPage":"6281","numberOfPages":"18","costCenters":[],"links":[{"id":217175,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2009.07.027"},{"id":245096,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"20","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a019de4b0c8380cd4fc8d","contributors":{"authors":[{"text":"Schimmelmann, A.","contributorId":28348,"corporation":false,"usgs":false,"family":"Schimmelmann","given":"A.","affiliations":[],"preferred":false,"id":460535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mastalerz, Maria","contributorId":78065,"corporation":false,"usgs":true,"family":"Mastalerz","given":"Maria","affiliations":[],"preferred":false,"id":460538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gao, L.","contributorId":63651,"corporation":false,"usgs":true,"family":"Gao","given":"L.","email":"","affiliations":[],"preferred":false,"id":460536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sauer, P.E.","contributorId":76335,"corporation":false,"usgs":true,"family":"Sauer","given":"P.E.","email":"","affiliations":[],"preferred":false,"id":460537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Topalov, K.","contributorId":82562,"corporation":false,"usgs":true,"family":"Topalov","given":"K.","email":"","affiliations":[],"preferred":false,"id":460539,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037248,"text":"70037248 - 2009 - A comparison of pre- and post-remediation water quality, Mineral Creek, Colorado","interactions":[],"lastModifiedDate":"2018-10-12T09:58:33","indexId":"70037248","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"A comparison of pre- and post-remediation water quality, Mineral Creek, Colorado","docAbstract":"Pre- and post-remediation data sets are used herein to assess the effectiveness of remedial measures implemented in the headwaters of the Mineral Creek watershed, where contamination from hard rock mining has led to elevated metal concentrations and acidic pH. Collection of pre- and post-remediation data sets generally followed the synoptic mass balance approach, in which numerous stream and inflow locations are sampled for the constituents of interest and estimates of streamflow are determined by tracer dilution. The comparison of pre- and post-remediation data sets is confounded by hydrologic effects and the effects of temporal variation. Hydrologic effects arise due to the relatively wet conditions that preceded the collection of pre-remediation data, and the relatively dry conditions associated with the post-remediation data set. This difference leads to a dilution effect in the upper part of the study reach, where pre-remediation concentrations were diluted by rainfall, and a source area effect in the lower part of the study reach, where a smaller portion of the watershed may have been contributing constituent mass during the drier post-remediation period. A second confounding factor, temporal variability, violates the steady-state assumption that underlies the synoptic mass balance approach, leading to false identification of constituent sources and sinks. Despite these complications, remedial actions completed in the Mineral Creek headwaters appear to have led to improvements in stream water quality, as post-remediation profiles of instream load are consistently lower than the pre-remediation profiles over the entire study reach for six of the eight constituents considered (aluminium, arsenic, cadmium, copper, iron, and zinc). Concentrations of aluminium, cadmium, copper, lead, and zinc remain above chronic aquatic-life standards, however, and additional remedial actions may be needed. Future implementations of the synoptic mass balance approach should be preceded by an assessment of temporal variability, and modifications to the synoptic sampling protocol should be made if necessary.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.7427","issn":"08856087","usgsCitation":"Runkel, R., Bencala, K., Kimball, B.A., Walton-Day, K., and Verplanck, P., 2009, A comparison of pre- and post-remediation water quality, Mineral Creek, Colorado: Hydrological Processes, v. 23, no. 23, p. 3319-3333, https://doi.org/10.1002/hyp.7427.","productDescription":"15 p.","startPage":"3319","endPage":"3333","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":245152,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217225,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7427"}],"country":"United States","state":"Colorado","otherGeospatial":"Mineral Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.0 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,37.0 ], [ -109.0,37.0 ] ] ] } } ] }","volume":"23","issue":"23","noUsgsAuthors":false,"publicationDate":"2009-09-15","publicationStatus":"PW","scienceBaseUri":"5059e370e4b0c8380cd46007","contributors":{"authors":[{"text":"Runkel, R.L.","contributorId":97529,"corporation":false,"usgs":true,"family":"Runkel","given":"R.L.","affiliations":[],"preferred":false,"id":460070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bencala, K.E.","contributorId":105312,"corporation":false,"usgs":true,"family":"Bencala","given":"K.E.","email":"","affiliations":[],"preferred":false,"id":460071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimball, B. A.","contributorId":87583,"corporation":false,"usgs":false,"family":"Kimball","given":"B.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":460069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walton-Day, K.","contributorId":14054,"corporation":false,"usgs":true,"family":"Walton-Day","given":"K.","affiliations":[],"preferred":false,"id":460068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verplanck, P. L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":106565,"corporation":false,"usgs":true,"family":"Verplanck","given":"P. L.","affiliations":[],"preferred":false,"id":460072,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173864,"text":"70173864 - 2009 - Interactions between soil thermal and hydrological dynamics in the response of Alaska ecosystems to fire disturbance","interactions":[],"lastModifiedDate":"2021-03-22T15:19:37.031321","indexId":"70173864","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Interactions between soil thermal and hydrological dynamics in the response of Alaska ecosystems to fire disturbance","docAbstract":"<p><span>Soil temperature and moisture are important factors that control many ecosystem processes. However, interactions between soil thermal and hydrological processes are not adequately understood in cold regions, where the frozen soil, fire disturbance, and soil drainage play important roles in controlling interactions among these processes. These interactions were investigated with a new ecosystem model framework, the dynamic organic soil version of the Terrestrial Ecosystem Model, that incorporates an efficient and stable numerical scheme for simulating soil thermal and hydrological dynamics within soil profiles that contain a live moss horizon, fibrous and amorphous organic horizons, and mineral soil horizons. The performance of the model was evaluated for a tundra burn site that had both preburn and postburn measurements, two black spruce fire chronosequences (representing space-for-time substitutions in well and intermediately drained conditions), and a poorly drained black spruce site. Although space-for-time substitutions present challenges in model-data comparison, the model demonstrates substantial ability in simulating the dynamics of evapotranspiration, soil temperature, active layer depth, soil moisture, and water table depth in response to both climate variability and fire disturbance. Several differences between model simulations and field measurements identified key challenges for evaluating/improving model performance that include (1) proper representation of discrepancies between air temperature and ground surface temperature; (2) minimization of precipitation biases in the driving data sets; (3) improvement of the measurement accuracy of soil moisture in surface organic horizons; and (4) proper specification of organic horizon depth/properties, and soil thermal conductivity.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2008JG000841","usgsCitation":"Yi, S., McGuire, A.D., Harden, J., Kasischke, E., Manies, K.L., Hinzman, L., Liljedahl, A.K., Randerson, J., Liu, H., Romanovsky, V.E., Marchenko, S., and Kim, Y., 2009, Interactions between soil thermal and hydrological dynamics in the response of Alaska ecosystems to fire disturbance: Journal of Geophysical Research: Biogeosciences, v. 114, no. G2, G02015, 20 p., https://doi.org/10.1029/2008JG000841.","productDescription":"G02015, 20 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017721","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":476362,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008jg000841","text":"Publisher Index Page"},{"id":323717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-141.0007667541504,69.64681951728146],[-141.064453125,69.80172356231073],[-141.767578125,69.96043926902489],[-142.734375,70.1478274118401],[-143.26171875,70.25945200030638],[-144.99755859375,70.1925497583889],[-146.14013671875,70.21487465331137],[-147.43652343749997,70.32613725493573],[-148.40332031249997,70.51024068514326],[-149.47998046875,70.63448406630856],[-149.85351562499997,70.63448406630856],[-150.64453125,70.59802116106809],[-151.611328125,70.61261423801925],[-151.8310546875,70.7724429742589],[-152.02880859375,70.90226826757711],[-152.666015625,71.0098110139634],[-153.52294921875,71.05979781529196],[-154.31396484375,70.95969716686398],[-154.70947265625,71.20191973293133],[-155.41259765625,71.3219146980122],[-156.46728515625,71.45515260247822],[-157.10449218749997,71.34301347171373],[-157.58789062499997,71.21607526596131],[-157.91748046875,70.99550574822297],[-158.62060546875,70.9883492241249],[-159.30175781249997,70.98119010476937],[-159.98291015625,70.94535555009823],[-160.51025390625,70.73622993891799],[-160.90576171875,70.58341752317065],[-161.5869140625,70.45150843439349],[-161.78466796875,70.45885925640687],[-162.5537109375,70.34092679475283],[-163.05908203125,70.09552886456429],[-163.388671875,69.81689109911446],[-163.564453125,69.51914693717981],[-164.02587890625,69.15474044269264],[-164.90478515625,69.03714171275197],[-165.69580078124997,68.97416358340674],[-166.26708984375,69.01354605132325],[-166.376953125,68.80004113882613],[-166.66259765624997,68.5443150407769],[-167.1240234375,68.39918004344189],[-166.61865234375,68.17155518732503],[-166.5087890625,67.99110834539984],[-165.87158203125,67.8672645403614],[-164.61914062499997,67.47492238478702],[-164.24560546874997,67.23806155909902],[-164.091796875,67.02458758377148],[-163.10302734375,66.87834504307976],[-163.05908203125,66.73990169639414],[-162.66357421875,66.58321725728175],[-162.333984375,66.48697584176404],[-162.3779296875,66.34632215978135],[-163.2568359375,66.31103501145373],[-163.19091796875,66.55700652350038],[-163.76220703124997,66.73990169639414],[-164.46533203125,66.69647781801481],[-165.30029296875,66.55700652350038],[-166.1572265625,66.41674787052298],[-166.9482421875,66.24916310923315],[-167.3876953125,66.01801815922045],[-168.42041015625,65.56754970214311],[-168.02490234375,65.33017791526855],[-167.45361328125,65.18303007291382],[-166.9921875,64.86760781632728],[-166.7724609375,64.49172504435471],[-165.69580078124997,64.24459476798195],[-164.59716796875,64.29229248039543],[-164.13574218749997,64.26368374017731],[-163.49853515625,64.18724867664994],[-162.5537109375,64.27322328178595],[-161.82861328124997,64.24459476798195],[-161.52099609375,63.93737246791484],[-163.125,63.68524808030715],[-163.93798828125,63.41119772365924],[-164.5751953125,63.32254947641308],[-165.41015625,63.15435519659187],[-165.78369140625,62.75472592723178],[-166.26708984375,62.42090322195164],[-166.5966796875,62.155240711732425],[-166.48681640625,61.616843178481375],[-166.2451171875,61.23853141060282],[-165.849609375,60.8663124746226],[-166.5966796875,60.56537850464181],[-167.34375,60.468050120874615],[-167.80517578125,60.20707506634915],[-167.8271484375,60.09771842541544],[-167.89306640624997,59.93300042374631],[-167.03613281249997,59.712097173322924],[-166.640625,59.61221219518693],[-165.95947265624997,59.60109549032134],[-165.47607421874997,59.74532608213611],[-165.10253906249997,59.95501026206206],[-164.794921875,59.987997631212224],[-164.72900390624997,59.7563950493563],[-164.46533203125,59.54545678424146],[-163.8720703125,59.54545678424146],[-163.14697265625,59.60109549032134],[-162.26806640625,59.62332522313024],[-162.20214843749997,59.17592824927136],[-162.35595703125,58.81374171570782],[-162.57568359375,58.6769376725869],[-162.09228515625,58.39019698411526],[-161.455078125,58.39019698411526],[-160.68603515625,58.44773280389084],[-160.1806640625,58.516651799363785],[-159.71923828125,58.58543569119917],[-159.43359375,58.47072082411973],[-159.08203125,58.33256713195789],[-158.55468749999997,58.286395482881034],[-158.44482421874997,58.619777025081675],[-157.60986328125,58.52812515905843],[-158.00537109375,58.00809779306888],[-158.48876953125,57.468589192089354],[-159.49951171875,56.84897198026975],[-161.0595703125,56.389583525613055],[-164.9267578125,54.97761367069628],[-165.9814453125,54.470037612805754],[-168.55224609375,53.73571574532637],[-173.232421875,52.92215137976296],[-175.62744140624997,52.3755991766591],[-177.86865234375,52.13348804077147],[-178.9453125,50.98609893339354],[-178.00048828125,51.440312757160115],[-176.8359375,51.467696956223364],[-175.36376953125,51.7406361640977],[-171.826171875,52.119998657638156],[-167.62939453124997,52.9883372533954],[-166.728515625,53.186287573913305],[-165.9375,53.553362785528094],[-165.30029296875,53.76170183021049],[-164.3115234375,54.149567212540525],[-163.89404296875,54.29088164657006],[-163.3447265625,54.18815548107151],[-162.26806640625,54.07228265560388],[-162.09228515625,54.3549556895541],[-161.89453125,54.7246201949245],[-161.0595703125,54.80068486732233],[-160.400390625,54.67383096593114],[-159.19189453125,54.61025498157912],[-159.14794921875,55.07836723201515],[-158.79638671875,55.429013452407396],[-157.58789062499997,55.825973254619015],[-155.7421875,55.541064956111036],[-154.62158203125,56.01066647040695],[-153.47900390625,56.43820369358165],[-151.45751953125,57.397624055000456],[-151.4794921875,58.07787626787517],[-151.45751953125,58.75680543225761],[-149.74365234374997,59.38917842312835],[-148.51318359375,59.63443457494949],[-146.689453125,59.355596110016315],[-144.51416015625,59.75086102411168],[-144.3109130859375,59.87239799228177],[-143.8330078125,59.968758992382334],[-143.0694580078125,60.031929699115615],[-141.5533447265625,59.842055288480076],[-140.9051513671875,59.68160832698723],[-140.020751953125,59.478568831926395],[-139.1693115234375,59.234986238722],[-138.82873535156247,59.09138238455909],[-138.3233642578125,58.96983560365735],[-138.1146240234375,58.862064179600374],[-138.076171875,58.722598828043374],[-136.9775390625,58.19387126497797],[-136.56005859375,57.7862326105289],[-135.966796875,57.33838126552897],[-136.03271484375,57.052681978717494],[-135.81298828125,56.92099675839107],[-134.571533203125,55.8845546603819],[-134.2034912109375,55.56592203025787],[-133.8958740234375,55.263468250921285],[-133.7530517578125,55.06264118216743],[-133.6102294921875,54.64523407607479],[-133.2421875,54.635697306063854],[-130.6171417236328,54.70637513489091],[-130.62950134277344,54.72422365048395],[-130.62606811523438,54.73651472417763],[-130.65765380859375,54.762274228176494],[-130.62950134277344,54.78247406031503],[-130.5663299560547,54.79237225560392],[-130.49697875976562,54.82877675365454],[-130.42282104492188,54.87423625974835],[-130.34591674804688,54.91569803760518],[-130.27244567871094,54.97288463122321],[-130.18661499023438,55.062247951730015],[-130.18043518066406,55.091729515360875],[-130.15090942382812,55.12393783348962],[-130.14747619628906,55.14160209881279],[-130.10284423828125,55.19219635238084],[-129.97169494628906,55.28146181651345],[-129.97581481933594,55.30022902025666],[-130.02044677734375,55.33890835596374],[-130.0396728515625,55.45043679812318],[-130.0884246826172,55.496749338303694],[-130.12825012207028,55.58144971869657],[-130.10971069335938,55.68223010941079],[-130.14816284179688,55.71473455012689],[-130.15296936035156,55.7649857705176],[-130.12550354003906,55.80475427021683],[-130.0843048095703,55.82134464477078],[-130.00465393066406,55.90573012454021],[-130.00465393066406,55.9130425993163],[-130.0190734863281,55.912657766599715],[-130.00259399414062,56.00605986001467],[-130.10421752929688,56.12297419573329],[-130.24635314941406,56.09693875609652],[-130.3479766845703,56.12794955397159],[-130.42556762695312,56.14134155069025],[-130.4674530029297,56.24373146827144],[-130.55740356445312,56.249454174583384],[-130.5677032470703,56.25479459547735],[-130.62400817871094,56.2685236855868],[-130.78262329101562,56.36715174252849],[-131.08612060546875,56.40668363558357],[-131.16989135742188,56.44883107459549],[-131.473388671875,56.551913918713375],[-131.58119201660156,56.61204220477141],[-131.8352508544922,56.59843662755775],[-131.85997009277344,56.702620872371355],[-131.89979553222656,56.75347577609789],[-131.87232971191406,56.805765643008264],[-132.12432861328122,56.87374615531272],[-132.0467376708984,57.04521234171931],[-132.3687744140625,57.09149987857074],[-132.2472381591797,57.211056900559335],[-132.3680877685547,57.347273783306676],[-132.55210876464844,57.49516565182901],[-132.65853881835938,57.61562391374733],[-132.75466918945312,57.69680911844304],[-132.8693389892578,57.83853792318956],[-133.06983947753906,58.00082136594698],[-133.17283630371094,58.15404059343076],[-133.34518432617188,58.27628739957773],[-133.45985412597656,58.38731772556939],[-133.37608337402344,58.430481925680034],[-133.70567321777344,58.611194853078764],[-133.83956909179685,58.730440812979516],[-134.25979614257812,58.861354043320055],[-134.3360137939453,58.92414471817596],[-134.3140411376953,58.962755708753306],[-134.4060516357422,58.978683427688686],[-134.38133239746094,59.03878841190553],[-134.44656372070312,59.08820785301446],[-134.48501586914062,59.13121539881386],[-134.56329345703125,59.130510792073984],[-134.67933654785156,59.191757369765085],[-134.70130920410156,59.24973478117606],[-134.95742797851562,59.279914277804906],[-135.02883911132812,59.34649517787861],[-134.9897003173828,59.3877798237848],[-135.10093688964844,59.42622028594434],[-135.07827758789062,59.45275367774563],[-135.0274658203125,59.47473269180728],[-135.03021240234375,59.564245132658975],[-135.11810302734372,59.62367244601488],[-135.15586853027344,59.625061301654334],[-135.2190399169922,59.6632323288228],[-135.23345947265625,59.69650975428769],[-135.252685546875,59.69789559656873],[-135.36048889160156,59.73598378851403],[-135.4779052734375,59.79821644465919],[-135.94894409179688,59.6632323288228],[-136.1927032470703,59.63998787256213],[-136.34788513183594,59.60109549032134],[-136.25038146972656,59.56633207991906],[-136.24076843261716,59.55972296971678],[-136.24076843261716,59.52387204745182],[-136.3066864013672,59.46461714320982],[-136.36642456054688,59.4496126517294],[-136.47628784179688,59.46566371970234],[-136.46804809570312,59.28552611855346],[-136.49620056152344,59.27465233689575],[-136.4900207519531,59.26096748461385],[-136.5840911865234,59.166075318301345],[-136.8285369873047,59.16009179641602],[-136.8793487548828,59.13544273484683],[-137.28240966796875,59.0009698708429],[-137.449951171875,58.908900972391415],[-137.52548217773438,58.906418795609426],[-137.5000762939453,58.985760051467075],[-137.54127502441406,59.10478272378236],[-137.60787963867188,59.24376590151355],[-138.62617492675778,59.76746035005358],[-138.66600036621094,59.80961318716828],[-138.6797332763672,59.84481485969105],[-138.70582580566406,59.90650046741583],[-139.05258178710938,59.994179105518434],[-139.19952392578125,60.08950200748712],[-139.0711212158203,60.3187885497516],[-139.07386779785156,60.35243208301854],[-139.69253540039062,60.33544473468298],[-139.97955322265625,60.181818669034776],[-140.4595184326172,60.30858669066228],[-140.5199432373047,60.22003701633967],[-141.00128173828125,60.3058656567224],[-141.0007667541504,69.64681951728146]]]}},{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-173.07586669921875,60.72157115165579],[-173.155517578125,60.69469537287745],[-173.15277099609375,60.64356945377967],[-173.08135986328125,60.61123754937553],[-173.04016113281247,60.58157148491742],[-173.08135986328125,60.53972302275651],[-173.089599609375,60.511343283202464],[-173.05938720703125,60.4788788301667],[-172.98248291015625,60.468050120874615],[-172.94677734374997,60.43689744859958],[-172.8424072265625,60.403001945865476],[-172.78472900390625,60.373144671593685],[-172.7105712890625,60.329667021005825],[-172.6611328125,60.3187885497516],[-172.5897216796875,60.309266913738156],[-172.49908447265625,60.31606836555203],[-172.4139404296875,60.3187885497516],[-172.35076904296875,60.3187885497516],[-172.30682373046872,60.29021531318375],[-172.2381591796875,60.29021531318375],[-172.17498779296875,60.30518536282736],[-172.2381591796875,60.333745513303114],[-172.34527587890625,60.378575303227215],[-172.364501953125,60.40164539086417],[-172.43041992187497,60.40571488624096],[-172.4798583984375,60.39757538658664],[-172.57598876953125,60.41249624776229],[-172.6556396484375,60.43689744859958],[-172.77374267578122,60.4788788301667],[-172.83416748046875,60.50052541051131],[-172.89459228515625,60.550527811064846],[-172.8863525390625,60.588316165776824],[-172.91656494140625,60.62606036274505],[-172.98797607421875,60.658377412327326],[-173.01544189453125,60.69469537287745],[-173.07586669921875,60.72157115165579]]]}},{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-171.650390625,63.809167882566385],[-171.793212890625,63.82128765261384],[-171.80419921875,63.73147780336167],[-171.8426513671875,63.65601144183318],[-171.8865966796875,63.54365806976644],[-171.859130859375,63.42594585479083],[-171.7877197265625,63.34966546248425],[-171.62841796875,63.32501562217765],[-171.474609375,63.28306240110864],[-171.353759765625,63.29540792564745],[-171.2548828125,63.33980806067484],[-171.1395263671875,63.38413977217118],[-171.002197265625,63.389061297647125],[-170.760498046875,63.34966546248425],[-170.57373046875,63.32501562217765],[-170.41992187499997,63.27812271092345],[-170.343017578125,63.1989725264735],[-170.3594970703125,63.156835740093236],[-170.2496337890625,63.156835740093236],[-170.145263671875,63.156835740093236],[-170.0408935546875,63.14194929585152],[-169.9090576171875,63.087300267152735],[-169.8321533203125,63.03753005973634],[-169.7991943359375,62.990169510232555],[-169.8101806640625,62.95522304515911],[-169.74975585937497,62.922735326966595],[-169.617919921875,62.91523303947614],[-169.54650878906247,62.9502272814474],[-169.4915771484375,62.97270150065472],[-169.508056640625,62.99765260346662],[-169.4970703125,63.04251090966805],[-169.43664550781247,63.08978654472616],[-169.34326171874997,63.11712157280328],[-169.178466796875,63.13946747896222],[-169.1070556640625,63.14443090047572],[-168.958740234375,63.104699747121074],[-168.760986328125,63.112153479825004],[-168.67309570312497,63.203925767041305],[-168.662109375,63.26576978358972],[-168.7115478515625,63.3348780927218],[-168.92578125,63.366907787681754],[-169.07958984374997,63.366907787681754],[-169.25537109375,63.37183226679281],[-169.420166015625,63.376755901872734],[-169.5245361328125,63.389061297647125],[-169.6124267578125,63.43331707559086],[-169.705810546875,63.46278300222105],[-169.8211669921875,63.46523712749102],[-169.947509765625,63.48976680530999],[-170.0079345703125,63.59011870211632],[-170.0958251953125,63.658448979940175],[-170.2386474609375,63.704722429433225],[-170.4638671875,63.73390885572919],[-170.5902099609375,63.721751503619956],[-170.7659912109375,63.6779417467744],[-171.2164306640625,63.648697570849286],[-171.474609375,63.6779417467744],[-171.54052734375,63.75334975181205],[-171.650390625,63.809167882566385]]]}},{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-170.40618896484375,57.022794415389725],[-170.3155517578125,57.043718234032625],[-170.22216796875,57.119841130872615],[-170.1947021484375,57.14518072479997],[-170.11505126953125,57.18985535714817],[-170.08209228515625,57.227042992549855],[-170.07110595703125,57.271618718194446],[-170.189208984375,57.23893512461504],[-170.2386474609375,57.22852971878346],[-170.32928466796875,57.22852971878346],[-170.3704833984375,57.22406936030381],[-170.49407958984375,57.20473490715757],[-170.41992187499997,57.12878649751151],[-170.364990234375,57.11387635258491],[-170.42266845703125,57.06910989239133],[-170.46112060546875,57.033257797376066],[-170.40618896484375,57.022794415389725]]]}},{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-169.8321533203125,56.62904228542147],[-169.8211669921875,56.60486209416893],[-169.7991943359375,56.586716786451156],[-169.71405029296875,56.565536245992064],[-169.71405029296875,56.551913918713375],[-169.63165283203125,56.51707901932375],[-169.56024169921875,56.515563731608296],[-169.5025634765625,56.553427752820355],[-169.43115234375,56.58369172128337],[-169.43664550781247,56.626020608371924],[-169.56024169921875,56.63055303322322],[-169.6783447265625,56.62450967912138],[-169.8321533203125,56.62904228542147]]]}}]}","volume":"114","issue":"G2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2009-05-23","publicationStatus":"PW","scienceBaseUri":"57627c34e4b07657d19a69f8","contributors":{"authors":[{"text":"Yi, Shuhua","contributorId":19687,"corporation":false,"usgs":true,"family":"Yi","given":"Shuhua","email":"","affiliations":[],"preferred":false,"id":639138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":638853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Jennifer","contributorId":46190,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","affiliations":[],"preferred":false,"id":639139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kasischke, Eric","contributorId":91980,"corporation":false,"usgs":true,"family":"Kasischke","given":"Eric","affiliations":[],"preferred":false,"id":639140,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manies, Kristen L. 0000-0003-4941-9657 kmanies@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-9657","contributorId":2136,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","email":"kmanies@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":639141,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hinzman, Larry","contributorId":91008,"corporation":false,"usgs":true,"family":"Hinzman","given":"Larry","email":"","affiliations":[],"preferred":false,"id":639142,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liljedahl, Anna K. 0000-0001-7114-6443","orcid":"https://orcid.org/0000-0001-7114-6443","contributorId":150135,"corporation":false,"usgs":false,"family":"Liljedahl","given":"Anna","email":"","middleInitial":"K.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":639143,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Randerson, J.","contributorId":94458,"corporation":false,"usgs":true,"family":"Randerson","given":"J.","affiliations":[],"preferred":false,"id":639144,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Heping","contributorId":117909,"corporation":false,"usgs":true,"family":"Liu","given":"Heping","affiliations":[],"preferred":false,"id":639145,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Romanovsky, Vladimir E.","contributorId":169658,"corporation":false,"usgs":false,"family":"Romanovsky","given":"Vladimir","email":"","middleInitial":"E.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":639146,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Marchenko, Sergey S.","contributorId":93368,"corporation":false,"usgs":true,"family":"Marchenko","given":"Sergey S.","affiliations":[],"preferred":false,"id":639147,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kim, Yongwon","contributorId":171930,"corporation":false,"usgs":false,"family":"Kim","given":"Yongwon","email":"","affiliations":[],"preferred":false,"id":639148,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70037244,"text":"70037244 - 2009 - Elevated naturally occurring arsenic in a semiarid oxidizing system, Southern High Plains aquifer, Texas, USA","interactions":[],"lastModifiedDate":"2018-10-03T10:13:20","indexId":"70037244","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Elevated naturally occurring arsenic in a semiarid oxidizing system, Southern High Plains aquifer, Texas, USA","docAbstract":"<p><span>High groundwater As concentrations in oxidizing systems are generally associated with As adsorption onto hydrous metal (Al, Fe or Mn) oxides and mobilization with increased pH. The objective of this study was to evaluate the distribution, sources and mobilization mechanisms of As in the Southern High Plains (SHP) aquifer, Texas, relative to those in other semiarid, oxidizing systems. Elevated groundwater As levels are widespread in the southern part of the SHP (SHP-S) aquifer, with 47% of wells exceeding the current EPA maximum contaminant level (MCL) of 10&nbsp;μg/L (range 0.3–164&nbsp;μg/L), whereas As levels are much lower in the north (SHP-N: 9%&nbsp;⩾&nbsp;As MCL of 10&nbsp;μg/L; range 0.2–43&nbsp;μg/L). The sharp contrast in As levels between the north and south coincides with a change in total dissolved solids (TDS) from 395&nbsp;mg/L (median north) to 885&nbsp;mg/L (median south). Arsenic is present as arsenate (As V) in this oxidizing system and is correlated with groundwater TDS (Spearman’s </span><i>ρ</i><span>&nbsp;=&nbsp;0.57). The most likely current source of As is sorbed As onto hydrous metal oxides based on correlations between As and other oxyanion-forming elements (V, </span><i>ρ</i><span>&nbsp;=&nbsp;0.88; Se, </span><i>ρ</i><span>&nbsp;=&nbsp;0.54; B, </span><i>ρ</i><span>&nbsp;=&nbsp;0.51 and Mo, </span><i>ρ</i><span>&nbsp;=&nbsp;0.46). This source is similar to that in other oxidizing systems and constitutes a secondary source; the most likely primary source being volcanic ashes in the SHP aquifer or original source rocks in the Rockies, based on co-occurrence of As and F (</span><i>ρ</i><span>&nbsp;=&nbsp;0.56), oxyanion-forming elements and SiO</span><sub>2</sub><span> (</span><i>ρ</i><span>&nbsp;=&nbsp;0.41), which are found in volcanic ashes. High groundwater As concentrations in some semiarid oxidizing systems are related to high evaporation. Although correlation of As with TDS in the SHP aquifer may suggest evaporative concentration, unenriched stable isotopes (δ</span><sup>2</sup><span>H: −65 to −27; δ</span><sup>18</sup><span>O: −9.1 to −4.2) in the SHP aquifer do not support evaporation. High TDS in the SHP aquifer is most likely related to upward movement of saline water from the underlying Triassic Dockum aquifer. Mobilization of As in other semiarid oxidizing systems is caused by increased pH; however, pH in the SHP aquifer is near neutral (10–90 percentiles, 7.0–7.6). Although many processes, such as competitive desorption with SiO</span><sub>2</sub><span>, VO</span><sub>4</sub><span>, or PO</span><sub>4</sub><span>, could be responsible for local mobilization of As in the SHP aquifer, the most plausible explanation for the regional As distribution and correlation with TDS is the counterion effect caused by a change from Ca- to Na-rich, water as shown by the high correlation between As and Na/(Ca)</span><sup>0.5</sup><span> ratios (</span><i>ρ</i><span>&nbsp;=&nbsp;0.57). This change in chemistry is related to mixing with saline water that moves upward from the underlying Dockum aquifer. This counterion effect may mobilize other anions and oxyanion-forming elements that are correlated with As (F, V, Se, B, Mo and SiO</span><sub>2</sub><span>). Competition among the oxyanions for sorption sites may enhance As mobilization. The SHP case study has similar As sources to those of other semiarid, oxidizing systems (original volcanic ash source followed by sorption onto hydrous metal oxides) but contrasts with these systems by showing lack of evaporative concentration and pH mobilization of As but counterion mobilization of As instead in the SHP-S aquifer.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2009.08.004","usgsCitation":"Scanlon, B., Nicot, J., Reedy, R., Kurtzman, D., Mukherjee, A., and Nordstrom, D.K., 2009, Elevated naturally occurring arsenic in a semiarid oxidizing system, Southern High Plains aquifer, Texas, USA: Applied Geochemistry, v. 24, no. 11, p. 2061-2071, https://doi.org/10.1016/j.apgeochem.2009.08.004.","productDescription":"11 p.","startPage":"2061","endPage":"2071","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":245091,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Southern High Plains aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.040771484375,\n              36.18665862660454\n            ],\n            [\n              -103.0517578125,\n              31.970803930433096\n            ],\n            [\n              -102.974853515625,\n              31.541089879585808\n            ],\n            [\n              -102.65625,\n              31.44741029142872\n            ],\n            [\n              -100.8984375,\n              31.531726144517158\n            ],\n            [\n              -100.78857421875,\n              31.886886525780806\n            ],\n            [\n              -100.75561523437499,\n              32.61161640317033\n            ],\n            [\n              -100.81054687499999,\n              33.128351191631566\n            ],\n            [\n              -100.777587890625,\n              33.715201644740844\n            ],\n            [\n              -100.6787109375,\n              34.1890858311724\n            ],\n            [\n              -100.557861328125,\n              34.69646117272349\n            ],\n            [\n              -100.601806640625,\n              35.03899204678081\n            ],\n            [\n              -100.75561523437499,\n              35.460669951495305\n            ],\n            [\n              -100.8544921875,\n              35.567980458012094\n            ],\n            [\n              -101.00830078125,\n              35.85343961959182\n            ],\n            [\n              -101.173095703125,\n              36.12900165569652\n            ],\n            [\n              -101.370849609375,\n              36.36822190085111\n            ],\n            [\n              -101.72241210937499,\n              36.4566360115962\n            ],\n            [\n              -102.3046875,\n              36.47872381162464\n            ],\n            [\n              -102.469482421875,\n              36.48314061639213\n            ],\n            [\n              -102.6397705078125,\n              36.47872381162464\n            ],\n            [\n              -102.74414062499999,\n              36.43454191900892\n            ],\n            [\n              -102.9364013671875,\n              36.29741818650811\n            ],\n            [\n              -103.040771484375,\n              36.18665862660454\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a08c8e4b0c8380cd51c8c","contributors":{"authors":[{"text":"Scanlon, Bridget R.","contributorId":74093,"corporation":false,"usgs":true,"family":"Scanlon","given":"Bridget R.","affiliations":[],"preferred":false,"id":460053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicot, J.-P.","contributorId":103100,"corporation":false,"usgs":true,"family":"Nicot","given":"J.-P.","affiliations":[],"preferred":false,"id":460056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reedy, R.C.","contributorId":80880,"corporation":false,"usgs":true,"family":"Reedy","given":"R.C.","email":"","affiliations":[],"preferred":false,"id":460051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kurtzman, D.","contributorId":98979,"corporation":false,"usgs":true,"family":"Kurtzman","given":"D.","email":"","affiliations":[],"preferred":false,"id":460055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mukherjee, A.","contributorId":82832,"corporation":false,"usgs":true,"family":"Mukherjee","given":"A.","email":"","affiliations":[],"preferred":false,"id":460052,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":460054,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037243,"text":"70037243 - 2009 - Effects of introduced fish on macroinvertebrate communities in historically fishless headwater and kettle lakes","interactions":[],"lastModifiedDate":"2017-05-10T10:43:07","indexId":"70037243","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Effects of introduced fish on macroinvertebrate communities in historically fishless headwater and kettle lakes","docAbstract":"<p><span>Widespread fish introductions have led to a worldwide decline in the number of fishless lakes and their associated communities. Studies assessing effects of fish stocking on native communities in historically fishless lakes have been limited to high-elevation headwater lakes stocked with non-native trout. Little is known about the effect of fish stocking in historically fishless and hydrologically isolated lowland kettle lakes. We compared the effects of introduced fish on macroinvertebrate communities in kettle lakes stocked with centrarchids, salmonids, and cyprinids, and headwater lakes stocked with brook trout (</span><i>Salvelinus fontinalis</i><span>) in Maine, USA. Fish had significant effects on macroinvertebrate community structure in both lake types, with reduced species richness and abundances of taxa characteristic of fishless lakes. The effects of introduced fish were more pronounced in headwater lakes despite a less diverse fish assemblage than in kettle lakes. We attribute this to abundant submerged vegetation providing refuge from fish predation and reduced stocking frequency in kettle lakes. We assessed effects of stocking duration on macroinvertebrates in a subset of headwater lakes with known dates of trout introduction. Species richness and abundance of most taxa declined within 3&nbsp;years following trout introduction; however, richness and abundance were least in lakes with long stocking histories (&ge;40&nbsp;years). Macroinvertebrates previously identified as fishless bioindicators were absent from all stocked lakes, indicating that trout rapidly eliminate these sensitive taxa. Conservation of this historically undervalued ecosystem requires protecting remaining fishless lakes and recovering those that have been stocked.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2009.08.003","issn":"00063207","usgsCitation":"Schilling, E., Loftin, C., and Huryn, A.D., 2009, Effects of introduced fish on macroinvertebrate communities in historically fishless headwater and kettle lakes: Biological Conservation, v. 142, no. 12, p. 3030-3038, https://doi.org/10.1016/j.biocon.2009.08.003.","productDescription":"9 p.","startPage":"3030","endPage":"3038","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008370","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":245063,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217144,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2009.08.003"}],"country":"United States","state":"Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.0101318359375,\n              44.3002644115815\n            ],\n            [\n              -71.0760498046875,\n              45.205263456162385\n            ],\n            [\n              -70.83984375,\n              45.24395342262324\n            ],\n            [\n              -70.59814453125,\n              45.6101948758674\n            ],\n            [\n              -70.24658203125,\n              45.954968795113395\n            ],\n            [\n              -69.093017578125,\n              45.84793427349226\n            ],\n            [\n              -67.97241210937499,\n              45.40230699238177\n            ],\n            [\n              -67.39562988281249,\n              44.680371641890375\n            ],\n            [\n              -67.8131103515625,\n              44.64911632343077\n            ],\n            [\n              -68.0712890625,\n              44.50434127765394\n            ],\n            [\n              -68.4173583984375,\n              44.50434127765394\n            ],\n            [\n              -69.36767578124999,\n              45.10066901851988\n            ],\n            [\n              -71.0101318359375,\n              44.3002644115815\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"142","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0729e4b0c8380cd515b0","contributors":{"authors":[{"text":"Schilling, Emily Gaenzle","contributorId":66069,"corporation":false,"usgs":false,"family":"Schilling","given":"Emily Gaenzle","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":460049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":460050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huryn, Alexander D. 0000-0002-1365-2361","orcid":"https://orcid.org/0000-0002-1365-2361","contributorId":20164,"corporation":false,"usgs":false,"family":"Huryn","given":"Alexander","email":"","middleInitial":"D.","affiliations":[{"id":28219,"text":"The University of Alabama, Department of Biological Sciences, Tuscaloosa, AL 35487","active":true,"usgs":false}],"preferred":false,"id":460048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037151,"text":"70037151 - 2009 - Age-distribution estimation for karst groundwater: Issues of parameterization and complexity in inverse modeling by convolution","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037151","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Age-distribution estimation for karst groundwater: Issues of parameterization and complexity in inverse modeling by convolution","docAbstract":"Convolution modeling is useful for investigating the temporal distribution of groundwater age based on environmental tracers. The framework of a quasi-transient convolution model that is applicable to two-domain flow in karst aquifers is presented. The model was designed to provide an acceptable level of statistical confidence in parameter estimates when only chlorofluorocarbon (CFC) and tritium (<sup>3</sup>H) data are available. We show how inverse modeling and uncertainty assessment can be used to constrain model parameterization to a level warranted by available data while allowing major aspects of the flow system to be examined. As an example, the model was applied to water from a pumped well open to the Madison aquifer in central USA with input functions of CFC-11, CFC-12, CFC-113, and <sup>3</sup>H, and was calibrated to several samples collected during a 16-year period. A bimodal age distribution was modeled to represent quick and slow flow less than 50 years old. The effects of pumping and hydraulic head on the relative volumetric fractions of these domains were found to be influential factors for transient flow. Quick flow and slow flow were estimated to be distributed mainly within the age ranges of 0-2 and 26-41 years, respectively. The fraction of long-term flow (&gt;50 years) was estimated but was not dateable. The different tracers had different degrees of influence on parameter estimation and uncertainty assessments, where <sup>3</sup>H was the most critical, and CFC-113 was least influential.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2009.07.064","issn":"00221694","usgsCitation":"Long, A., and Putnam, L., 2009, Age-distribution estimation for karst groundwater: Issues of parameterization and complexity in inverse modeling by convolution: Journal of Hydrology, v. 376, no. 3-4, p. 579-588, https://doi.org/10.1016/j.jhydrol.2009.07.064.","startPage":"579","endPage":"588","numberOfPages":"10","costCenters":[],"links":[{"id":217165,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2009.07.064"},{"id":245086,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"376","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e8fde4b0c8380cd48014","contributors":{"authors":[{"text":"Long, Andrew J.","contributorId":80023,"corporation":false,"usgs":false,"family":"Long","given":"Andrew J.","affiliations":[],"preferred":false,"id":459623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putnam, L.D.","contributorId":47417,"corporation":false,"usgs":true,"family":"Putnam","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":459622,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034464,"text":"70034464 - 2009 - Paleosols in central Illinois as potential sources of ammonium in groundwater","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034464","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1864,"text":"Ground Water Monitoring and Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Paleosols in central Illinois as potential sources of ammonium in groundwater","docAbstract":"Glacially buried paleosols of pre-Holocene age were evaluated as potential sources for anomalously large concentrations of ammonium in groundwater in East Central Illinois. Ammonium has been detected at concentrations that are problematic to water treatment facilities (greater than 2.0 mg/L) in this region. Paleosols characterized for this study were of Quaternary age, specifically Robein Silt samples. Paleosol samples displayed significant capacity to both store and release ammonium through experiments measuring processes of sorption, ion exchange, and weathering. Bacteria and fungi within paleosols may significantly facilitate the leaching of ammonium into groundwater by the processes of assimilation and mineralization. Bacterial genetic material (DNA) was successfully extracted from the Robein Silt, purified, and amplified by polymerase chain reaction to produce 16S rRNA terminal restriction fragment length polymorphism (TRFLP) community analyses. The Robein Silt was found to have established diverse and viable bacterial communities. 16S rRNA TRFLP comparisons to well-known bacterial species yielded possible matches with facultative chemolithotrophs, cellulose consumers, nitrate reducers, and actinomycetes. It was concluded that the Robein Silt is both a source and reservoir for groundwater ammonium. Therefore, the occurrence of relatively large concentrations of ammonium in groundwater monitoring data may not necessarily be an indication of only anthropogenic contamination. The results of this study, however, need to be placed in a hydrological context to better understand whether paleosols can be a significant source of ammonium to drinking water supplies. ?? 2009 National Ground Water Association.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water Monitoring and Remediation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1745-6592.2009.01257.x","issn":"10693629","usgsCitation":"Glessner, J.J., and Roy, W.R., 2009, Paleosols in central Illinois as potential sources of ammonium in groundwater: Ground Water Monitoring and Remediation, v. 29, no. 4, p. 56-64, https://doi.org/10.1111/j.1745-6592.2009.01257.x.","startPage":"56","endPage":"64","numberOfPages":"9","costCenters":[],"links":[{"id":216567,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6592.2009.01257.x"},{"id":244445,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"4","noUsgsAuthors":false,"publicationDate":"2009-11-03","publicationStatus":"PW","scienceBaseUri":"505a7455e4b0c8380cd775b6","contributors":{"authors":[{"text":"Glessner, Justin J. G.","contributorId":69391,"corporation":false,"usgs":true,"family":"Glessner","given":"Justin","email":"","middleInitial":"J. G.","affiliations":[],"preferred":false,"id":445940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, William R.","contributorId":45454,"corporation":false,"usgs":true,"family":"Roy","given":"William","middleInitial":"R.","affiliations":[],"preferred":false,"id":445939,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036975,"text":"70036975 - 2009 - Prominence of ichnologically influenced macroporosity in the karst Biscayne aquifer: Stratiform \"super-K\" zones","interactions":[],"lastModifiedDate":"2012-03-12T17:22:00","indexId":"70036975","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Prominence of ichnologically influenced macroporosity in the karst Biscayne aquifer: Stratiform \"super-K\" zones","docAbstract":"A combination of cyclostratigraphic, ichnologic, and borehole geophysical analyses of continuous core holes; tracer-test analyses; and lattice Boltzmann flow simulations was used to quantify biogenic macroporosity and permeability of the Biscayne aquifer, southeastern Florida. Biogenic macroporosity largely manifests as: (1) ichnogenic macroporosity primarily related to postdepositional burrowing activity by callianassid shrimp and fossilization of components of their complex burrow systems (Ophiomorpha); and (2) biomoldic macroporosity originating from dissolution of fossil hard parts, principally mollusk shells. Ophiomorpha-dominated ichno-fabric provides the greatest contribution to hydrologic characteristics in the Biscayne aquifer in a 345 km<sup>2</sup> study area. Stratiform tabular-shaped units of thalassinidean-associated macroporosity are commonly confined to the lower part of upward-shallowing high-frequency cycles, throughout aggradational cycles, and, in one case, they stack vertically within the lower part of a high-frequency cycle set. Broad continuity of many of the macroporous units concentrates groundwater flow in extremely permeable passage-ways, thus making the aquifer vulnerable to long-distance transport of contaminants. Ichnogenic macroporosity represents an alternative pathway for concentrated groundwater flow that differs considerably from standard karst flow-system paradigms, which describe groundwater movement through fractures and cavernous dissolution features. Permeabilities were calculated using lattice Boltzmann methods (LBMs) applied to computer renderings assembled from X-ray computed tomography scans of various biogenic macroporous limestone samples. The highest simulated LBM permeabilities were about five orders of magnitude greater than standard laboratory measurements using air-permeability methods, which are limited in their application to extremely permeable macroporous rock samples. Based on their close conformance to analytical solutions for pipe flow, LBMs offer a new means of obtaining accurate permeability values for such materials. We suggest that the stratiform ichnogenic groundwater flow zones have permeabilities even more extreme (???2-5 orders of magnitude higher) than the Jurassic \"super-K\" zones of the giant Ghawar oil field. The flow zones of the Pleistocene Biscayne aquifer provide examples of ichnogenic macroporosity for comparative analysis of origin and evolution in other carbonate aquifers, as well as petroleum reservoirs. ?? 2008 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society of America Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/B26392.1","issn":"00167606","usgsCitation":"Cunningham, K., Sukop, M., Huang, H., Alvarez, P., Curran, H., Renken, R., and Dixon, J., 2009, Prominence of ichnologically influenced macroporosity in the karst Biscayne aquifer: Stratiform \"super-K\" zones: Geological Society of America Bulletin, v. 121, no. 1-2, p. 164-180, https://doi.org/10.1130/B26392.1.","startPage":"164","endPage":"180","numberOfPages":"17","costCenters":[],"links":[{"id":217695,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B26392.1"},{"id":245655,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8f04e4b0c8380cd7f524","contributors":{"authors":[{"text":"Cunningham, K.J.","contributorId":39852,"corporation":false,"usgs":true,"family":"Cunningham","given":"K.J.","email":"","affiliations":[],"preferred":false,"id":458803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sukop, M.C.","contributorId":88468,"corporation":false,"usgs":true,"family":"Sukop","given":"M.C.","affiliations":[],"preferred":false,"id":458805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, H.","contributorId":18571,"corporation":false,"usgs":true,"family":"Huang","given":"H.","email":"","affiliations":[],"preferred":false,"id":458801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alvarez, P.F.","contributorId":105566,"corporation":false,"usgs":true,"family":"Alvarez","given":"P.F.","email":"","affiliations":[],"preferred":false,"id":458807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curran, H.A.","contributorId":30820,"corporation":false,"usgs":true,"family":"Curran","given":"H.A.","email":"","affiliations":[],"preferred":false,"id":458802,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Renken, R.A.","contributorId":99161,"corporation":false,"usgs":true,"family":"Renken","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":458806,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dixon, J.F.","contributorId":52435,"corporation":false,"usgs":true,"family":"Dixon","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":458804,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70036973,"text":"70036973 - 2009 - Geoelectrical measurement and modeling of biogeochemical breakthrough behavior during microbial activity","interactions":[],"lastModifiedDate":"2019-10-21T12:32:34","indexId":"70036973","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Geoelectrical measurement and modeling of biogeochemical breakthrough behavior during microbial activity","docAbstract":"<p><span>We recorded bulk electrical conductivity (</span><i>σ</i><sub><i>b</i></sub><span>) along a soil column during microbially-mediated selenite oxyanion reduction. Effluent fluid electrical conductivity and early time<span>&nbsp;</span></span><i>σ</i><sub><i>b</i></sub><span><span>&nbsp;</span>were modeled according to classic advective-dispersive transport of the nutrient medium. However,<span>&nbsp;</span></span><i>σ</i><sub><i>b</i></sub><span><span>&nbsp;</span>along the column exhibited strongly bimodal breakthrough which cannot be explained by changes in the electrical conductivity of the pore fluid. We model the anomalous breakthrough by adding a conduction path in parallel with the fluid phase, with a time dependence described by a microbial population-dynamics model. We incorporate a delay time to show that breakthrough curves along the column satisfy the same growth model parameters and offer a possible explanation based on biomass-limited growth that is delayed with distance from influent of the nutrient medium. Although the mechanism causing conductivity enhancement in the presence of biomass is uncertain, our results strongly suggest that biogeochemical breakthrough curves have been captured in geoelectrical datasets.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2009GL038695","issn":"00948276","usgsCitation":"Slater, L., Day-Lewis, F.D., Ntarlagiannis, D., O'Brien, M., and Yee, N., 2009, Geoelectrical measurement and modeling of biogeochemical breakthrough behavior during microbial activity: Geophysical Research Letters, v. 36, no. 14, L14402; 5 p., https://doi.org/10.1029/2009GL038695.","productDescription":"L14402; 5 p.","ipdsId":"IP-013008","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":476156,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009gl038695","text":"Publisher Index Page"},{"id":245597,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"14","noUsgsAuthors":false,"publicationDate":"2009-07-28","publicationStatus":"PW","scienceBaseUri":"505a1746e4b0c8380cd55467","contributors":{"authors":[{"text":"Slater, L.D.","contributorId":63229,"corporation":false,"usgs":true,"family":"Slater","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":458796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":458792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ntarlagiannis, D.","contributorId":57287,"corporation":false,"usgs":true,"family":"Ntarlagiannis","given":"D.","email":"","affiliations":[],"preferred":false,"id":458794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Brien, M.","contributorId":57980,"corporation":false,"usgs":true,"family":"O'Brien","given":"M.","affiliations":[],"preferred":false,"id":458795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yee, N.","contributorId":56461,"corporation":false,"usgs":true,"family":"Yee","given":"N.","email":"","affiliations":[],"preferred":false,"id":458793,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036943,"text":"70036943 - 2009 - Hydrologic and biogeochemical controls of river subsurface solutes under agriculturally enhanced ground water flow","interactions":[],"lastModifiedDate":"2018-09-27T10:59:54","indexId":"70036943","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic and biogeochemical controls of river subsurface solutes under agriculturally enhanced ground water flow","docAbstract":"<p><span>The relative influences of hydrologic processes and biogeochemistry on the transport and retention of minor solutes were compared in the riverbed of the lower Merced River (California, USA). The subsurface of this reach receives ground water discharge and surface water infiltration due to an altered hydraulic setting resulting from agricultural irrigation. Filtered ground water samples were collected from 30 drive point locations in March, June, and October 2004. Hydrologic processes, described previously, were verified by observations of bromine concentrations; manganese was used to indicate redox conditions. The separate responses of the minor solutes strontium, barium, uranium, and phosphorus to these influences were examined. Correlation and principal component analyses indicate that hydrologic processes dominate the distribution of trace elements in the ground water. Redox conditions appear to be independent of hydrologic processes and account for most of the remaining data variability. With some variability, major processes are consistent in two sampling transects separated by 100 m.</span></p>","language":"English","publisher":"ACSESS","doi":"10.2134/jeq2008.0448","issn":"00472425","usgsCitation":"Wildman, R., Domagalski, J.L., and Hering, J.G., 2009, Hydrologic and biogeochemical controls of river subsurface solutes under agriculturally enhanced ground water flow: Journal of Environmental Quality, v. 38, no. 5, p. 1830-1840, https://doi.org/10.2134/jeq2008.0448.","productDescription":"11 p.","startPage":"1830","endPage":"1840","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":487881,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://infoscience.epfl.ch/record/158267","text":"External Repository"},{"id":245562,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217606,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2008.0448"}],"volume":"38","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a353ae4b0c8380cd5fd87","contributors":{"authors":[{"text":"Wildman, R.A. Jr.","contributorId":17856,"corporation":false,"usgs":true,"family":"Wildman","given":"R.A.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":458582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Domagalski, Joseph L. 0000-0002-6032-757X joed@usgs.gov","orcid":"https://orcid.org/0000-0002-6032-757X","contributorId":1330,"corporation":false,"usgs":true,"family":"Domagalski","given":"Joseph","email":"joed@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":458583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hering, J. G.","contributorId":12647,"corporation":false,"usgs":false,"family":"Hering","given":"J.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":458581,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036914,"text":"70036914 - 2009 - A regional soil and sediment geochemical study in northern California","interactions":[],"lastModifiedDate":"2012-03-12T17:22:00","indexId":"70036914","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"A regional soil and sediment geochemical study in northern California","docAbstract":"Regional-scale variations in soil geochemistry were investigated in a 20,000-km<sup>2</sup> study area in northern California that includes the western slope of the Sierra Nevada, the southern Sacramento Valley and the northern Coast Ranges. Over 1300 archival soil samples collected from the late 1970s to 1980 in El Dorado, Placer, Sutter, Sacramento, Yolo and Solano counties were analyzed for 42 elements by inductively coupled plasma-atomic emission spectrometry and inductively coupled plasma-mass spectrometry following a near-total dissolution. These data were supplemented by analysis of more than 500 stream-sediment samples from higher elevations in the Sierra Nevada from the same study site. The relatively high-density data (1 sample per 15 km<sup>2</sup> for much of the study area) allows the delineation of regional geochemical patterns and the identification of processes that produced these patterns. The geochemical results segregate broadly into distinct element groupings whose distribution reflects the interplay of geologic, hydrologic, geomorphic and anthropogenic factors. One such group includes elements associated with mafic and ultramafic rocks including Cr, Ni, V, Co, Cu and Mg. Using Cr as an example, elevated concentrations occur in soils overlying ultramafic rocks in the foothills of the Sierra Nevada (median Cr = 160 mg/kg) as well as in the northern Coast Ranges. Low concentrations of these elements occur in soils located further upslope in the Sierra Nevada overlying Tertiary volcanic, metasedimentary and plutonic rocks (granodiorite and diorite). Eastern Sacramento Valley soil samples, defined as those located east of the Sacramento River, are lower in Cr (median Cr = 84 mg/kg), and are systematically lower in this suite compared to soils from the west side of the Sacramento Valley (median Cr = 130 mg/kg). A second group of elements showing a coherent pattern, including Ca, K, Sr and REE, is derived from relatively silicic rocks types. This group occurs at elevated concentrations in soils overlying volcanic and plutonic rocks at higher elevations in the Sierras (e.g. median La = 28 mg/kg) and the east side of the Sacramento Valley (median 20 mg/kg) compared to soils overlying ultramafic rocks in the Sierra Nevada foothills (median 15 mg/kg) and the western Sacramento Valley (median 14 mg/kg). The segregation of soil geochemistry into distinctive groupings across the Sacramento River arises from the former presence of a natural levee (now replaced by an artificial one) along the banks of the river. This levee has been a barrier to sediment transport. Sediment transport to the Valley by glacial outwash from higher elevations in the Sierra Nevada and, more recently, debris from placer Au mining has dominated sediment transport to the eastern Valley. High content of mafic elements (and low content of silicic elements) in surface soil in the west side of the valley is due to a combination of lack of silicic source rocks, transport of ultramafic rock material from the Coast Ranges, and input of sediment from the late Mesozoic Great Valley Group, which is itself enriched in mafic elements. A third group of elements (Zn, Cd, As and Cu) reflect the impact of mining activity. Soil with elevated content of these elements occurs along the Sacramento River in both levee and adjacent flood basin settings. It is interpreted that transport of sediment down the Sacramento River from massive sulfide mines in the Klamath Mountains to the north has caused this pattern. The Pb, and to some extent Zn, distribution patterns are strongly impacted by anthropogenic inputs. Elevated Pb content is localized in major cites and along major highways due to inputs from leaded gasoline. Zinc has a similar distribution pattern but the source is tire wear.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.apgeochem.2009.04.018","issn":"08832927","usgsCitation":"Goldhaber, M., Morrison, J., Holloway, J., Wanty, R., Helsel, D., and Smith, D.B., 2009, A regional soil and sediment geochemical study in northern California: Applied Geochemistry, v. 24, no. 8, p. 1482-1499, https://doi.org/10.1016/j.apgeochem.2009.04.018.","startPage":"1482","endPage":"1499","numberOfPages":"18","costCenters":[],"links":[{"id":217605,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2009.04.018"},{"id":245561,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e543e4b0c8380cd46c47","contributors":{"authors":[{"text":"Goldhaber, M. B. 0000-0002-1785-4243","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":103280,"corporation":false,"usgs":true,"family":"Goldhaber","given":"M. B.","affiliations":[],"preferred":false,"id":458455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrison, J.M.","contributorId":9063,"corporation":false,"usgs":true,"family":"Morrison","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":458450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holloway, J.M. 0000-0003-3603-7668","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":103041,"corporation":false,"usgs":true,"family":"Holloway","given":"J.M.","affiliations":[],"preferred":false,"id":458454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wanty, R. B. 0000-0002-2063-6423","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":66704,"corporation":false,"usgs":true,"family":"Wanty","given":"R. B.","affiliations":[],"preferred":false,"id":458453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Helsel, D.R.","contributorId":57448,"corporation":false,"usgs":false,"family":"Helsel","given":"D.R.","email":"","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":458452,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, D. B. davidsmith@usgs.gov","contributorId":12840,"corporation":false,"usgs":true,"family":"Smith","given":"D.","email":"davidsmith@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":458451,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036912,"text":"70036912 - 2009 - Flowpath independent monitoring of reductive dechlorination potential in a fractured rock aquifer","interactions":[],"lastModifiedDate":"2018-10-12T08:52:25","indexId":"70036912","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1864,"text":"Ground Water Monitoring and Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Flowpath independent monitoring of reductive dechlorination potential in a fractured rock aquifer","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The flowpath dependent approaches that are typically employed to assess biodegradation of chloroethene contaminants in unconsolidated aquifers are problematic in fractured rock settings, due to difficulties defining discrete groundwater flowpaths in such systems. In this study, the variation in the potential for chloroethene biodegradation with depth was evaluated in a fractured rock aquifer using two flowpath independent lines of field evidence: (1) the presence of the three biochemical prerequisites [electron donor(s), chloroethene electron acceptor(s), and chlororespiring microorganism(s)] for efficient chloroethene chlororespiration and (2) the in situ accumulation of chloroethene reductive dechlorination daughter products. The validity of this approach was assessed by comparing field results with the results of [1, 2‐<sup>14</sup>C]<span>&nbsp;</span><i>cis</i>‐DCE microcosm experiments. Microcosms were prepared with depth‐specific core material, which was crushed and emplaced in discrete packer intervals for 1 year to allow colonization by the indigenous microbial community. Packer intervals characterized by significant electron donor concentrations, elevated numbers of chlororespiring microorganisms, and high reductive dechlorination product to parent contaminant ratios correlated well with the production of<span>&nbsp;</span><sup>14</sup>C‐labeled reductive dechlorination products in the microcosm experiments. These results indicate that, in the absence of information on discrete groundwater flowpaths, a modified approach emphasizing flowpath independent lines of evidence can provide insight into the temporal and spatial variability of contaminant biodegradation in fractured rock systems.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6592.2009.01255.x","issn":"10693629","usgsCitation":"Bradley, P., Lacombe, P., Imbrigiotta, T., Chapelle, F.H., and Goode, D., 2009, Flowpath independent monitoring of reductive dechlorination potential in a fractured rock aquifer: Ground Water Monitoring and Remediation, v. 29, no. 4, p. 46-55, https://doi.org/10.1111/j.1745-6592.2009.01255.x.","productDescription":"10 p.","startPage":"46","endPage":"55","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":217576,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6592.2009.01255.x"},{"id":245529,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"4","noUsgsAuthors":false,"publicationDate":"2009-11-03","publicationStatus":"PW","scienceBaseUri":"505a1262e4b0c8380cd542a9","contributors":{"authors":[{"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":458441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lacombe, P.J.","contributorId":67915,"corporation":false,"usgs":true,"family":"Lacombe","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":458442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Imbrigiotta, T.E. 0000-0003-1716-4768","orcid":"https://orcid.org/0000-0003-1716-4768","contributorId":86355,"corporation":false,"usgs":true,"family":"Imbrigiotta","given":"T.E.","affiliations":[],"preferred":false,"id":458443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapelle, F. H.","contributorId":101697,"corporation":false,"usgs":true,"family":"Chapelle","given":"F.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":458445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goode, D.J. 0000-0002-8527-2456","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":95512,"corporation":false,"usgs":true,"family":"Goode","given":"D.J.","affiliations":[],"preferred":false,"id":458444,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}