Sacramento Valley (California, USA) soils and sediments have high concentrations of Cr(III) because they are partially derived from ultramafic material. Some Cr(III) is oxidized to more toxic and mobile Cr(VI) by soil Mn oxides. Valley soils typically have neutral to alkaline pH at which Cr(III) is highly immobile. Much of the valley is under cultivation and is both fertilized and irrigated. A series of laboratory incubation experiments were conducted to assess how cultivation might impact Cr cycling in shallow vadose zone material from the valley. The first experiments employed low (7.1 mmol N per kg soil) and high (35 mmol N kg− 1) concentrations of applied (NH4)2SO4. Initially, Cr(VI) concentrations were up to 45 and 60% greater than controls in low and high incubations, respectively. After microbially-mediated oxidation of all NH4+, Cr(VI) concentrations dropped below control values. Increased nitrifying bacterial populations (estimated by measurement of phospholipid fatty acids) may have increased the Cr(VI) reduction capacity of the vadose zone material resulting in the observed decreases in Cr(VI). Another series of incubations employed vadose zone material from a different location to which low (45 meq kg− 1) and high (128 meq kg− 1) amounts of NH4Cl, KCl, and CaCl2 were applied. All treatments, except high concentration KCl, resulted in mean soil Cr(VI) concentrations that were greater than the control. High concentrations of water-leachable Ba2 + (mean 38 μmol kg− 1) in this treatment may have limited Cr(VI) solubility. A final set of incubations were amended with low (7.1 mmol N kg− 1) and high (35 mmol N kg− 1) concentrations of commercial liquid ammonium polyphosphate (APP) fertilizer which contained high concentrations of Cr(III). Soil Cr(VI) in the low APP incubations increased to a concentration of 1.8 μmol kg− 1 (5 × control) over 109 days suggesting that Cr(III) added with the APP fertilizer was more reactive than naturally-occurring soil Cr(III).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2012.06.054","usgsCitation":"Mills, C., and Goldhaber, M.B., 2012, Laboratory investigations of the effects of nitrification-induced acidification on Cr cycling in vadose zone material partially derived from ultramafic rocks: Science of the Total Environment, v. 435-436, p. 363-373, https://doi.org/10.1016/j.scitotenv.2012.06.054.","productDescription":"11 p.","startPage":"363","endPage":"373","ipdsId":"IP-031029","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":348626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"435-436","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a096bb2e4b09af898c94151","contributors":{"authors":[{"text":"Mills, Christopher T. 0000-0001-8414-1414 cmills@usgs.gov","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":150137,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","email":"cmills@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":717435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldhaber, Martin B. 0000-0002-1785-4243 mgold@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":1339,"corporation":false,"usgs":true,"family":"Goldhaber","given":"Martin","email":"mgold@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":717436,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005993,"text":"70005993 - 2012 - The impact of biotic/abiotic interfaces in mineral nutrient cycling: A study of soils of the Santa Cruz chronosequence, California","interactions":[],"lastModifiedDate":"2020-12-30T19:15:07.348439","indexId":"70005993","displayToPublicDate":"2011-12-25T13:43:00","publicationYear":"2012","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":"The impact of biotic/abiotic interfaces in mineral nutrient cycling: A study of soils of the Santa Cruz chronosequence, California","docAbstract":"Biotic/abiotic interactions between soil mineral nutrients and annual grassland vegetation are characterized for five soils in a marine terrace chronosequence near Santa Cruz, California. A Mediterranean climate, with wet winters and dry summers, controls the annual cycle of plant growth and litter decomposition, resulting in net above-ground productivities of 280–600 g m−2 yr−1. The biotic/abiotic (A/B) interface separates seasonally reversible nutrient gradients, reflecting biological cycling in the shallower soils, from downward chemical weathering gradients in the deeper soils. The A/B interface is pedologically defined by argillic clay horizons centered at soil depths of about one meter which intensify with soil age. Below these horizons, elevated solute Na/Ca, Mg/Ca and Sr/Ca ratios reflect plagioclase and smectite weathering along pore water flow paths. Above the A/B interface, lower cation ratios denote temporal variability due to seasonal plant nutrient uptake and litter leaching. Potassium and Ca exhibit no seasonal variability beneath the A/B interface, indicating closed nutrient cycling within the root zone, whereas Mg variability below the A/B interface denotes downward leakage resulting from higher inputs of marine aerosols and lower plant nutrient requirements.
The fraction of a mineral nutrient annually cycled through the plants, compared to that lost from pore water discharge, is defined their respective fluxes Fj,plants = qj,plants/(qj,plants + qj,discharge) with average values for K and Ca (FK,plants = 0.99; FCa,plants = 0.93) much higher than for Mg and Na (FMg,plants 0.64; FNa,plants = 0.28). The discrimination against Rb and Sr by plants is described by fractionation factors (KSr/Ca = 0.86; KRb/K = 0.83) which are used in Rayleigh fractionation-mixing calculations to fit seasonal patterns in solute K and Ca cycling. KRb/K and
Site-specific temporal trends in algae, benthic invertebrate, and fish assemblages were investigated in 15 streams and rivers draining basins of varying land use in the south-central United States from 1993–2007. A multivariate approach was used to identify sites with statistically significant trends in aquatic assemblages which were then tested for correlations with assemblage metrics and abiotic environmental variables (climate, water quality, streamflow, and physical habitat). Significant temporal trends in one or more of the aquatic assemblages were identified at more than half (eight of 15) of the streams in the study. Assemblage metrics and abiotic environmental variables found to be significantly correlated with aquatic assemblages differed between land use categories. For example, algal assemblages at undeveloped sites were associated with physical habitat, while algal assemblages at more anthropogenically altered sites (agricultural and urban) were associated with nutrient and streamflow metrics. In urban stream sites results indicate that streamflow metrics may act as important controls on water quality conditions, as represented by aquatic assemblage metrics. The site-specific identification of biotic trends and abiotic–biotic relations presented here will provide valuable information that can inform interpretation of continued monitoring data and the design of future studies. In addition, the subsets of abiotic variables identified as potentially important drivers of change in aquatic assemblages provide policy makers and resource managers with information that will assist in the design and implementation of monitoring programs aimed at the protection of aquatic resources.
","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10750-011-0950-7","usgsCitation":"Miller, M.P., Kennen, J., Mabe, J.A., and Mize, S.V., 2012, Temporal trends in algae, benthic invertebrate, and fish assemblages in streams and rivers draining basins of varying land use in the south-central United States, 1993-2007: Hydrobiologia, v. 684, no. 1, p. 15-33, https://doi.org/10.1007/s10750-011-0950-7.","productDescription":"19 p.","startPage":"15","endPage":"33","temporalStart":"1993-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":257563,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Colorado, Kansas, Kentucky, Louisiana, Mississippi, Missouri, New Mexico, Oklahoma, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mabe, Jeffrey A.","contributorId":65565,"corporation":false,"usgs":true,"family":"Mabe","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mize, Scott V. 0000-0001-6751-5568 svmize@usgs.gov","orcid":"https://orcid.org/0000-0001-6751-5568","contributorId":2997,"corporation":false,"usgs":true,"family":"Mize","given":"Scott","email":"svmize@usgs.gov","middleInitial":"V.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353584,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70005382,"text":"70005382 - 2012 - Spatial patterns of aquatic habitat richness in the Upper Mississippi River floodplain, USA","interactions":[],"lastModifiedDate":"2021-01-05T15:27:00.693105","indexId":"70005382","displayToPublicDate":"2011-12-01T10:07:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns of aquatic habitat richness in the Upper Mississippi River floodplain, USA","docAbstract":"Interactions among hydrology and geomorphology create shifting mosaics of aquatic habitat patches in large river floodplains (e.g., main and side channels, floodplain lakes, and shallow backwater areas) and the connectivity among these habitat patches underpins high levels of biotic diversity and productivity. However, the diversity and connectivity among the habitats of most floodplain rivers have been negatively impacted by hydrologic and structural modifications that support commercial navigation and control flooding. We therefore tested the hypothesis that the rate of increase in patch richness (# of types) with increasing scale reflects anthropogenic modifications to habitat diversity and connectivity in a large floodplain river, the Upper Mississippi River (UMR). To do this, we calculated the number of aquatic habitat patch types within neighborhoods surrounding each of the ≈19 million 5-m aquatic pixels of the UMR for multiple neighborhood sizes (1–100 ha). For all of the 87 river-reach focal areas we examined, changes in habitat richness (R) with increasing neighborhood length (L, # pixels) were characterized by a fractal-like power function R = Lz (R2 > 0.92 (P < 0.05)). The scaling exponent (z) measures the rate of increase in habitat richness with neighborhood size and is related to a fractal dimension. Variation in z reflected fundamental changes to spatial patterns of aquatic habitat richness in this river system. With only a few exceptions, z exceeded the river-wide average of 0.18 in focal areas where side channels, contiguous floodplain lakes, and contiguous shallow-water areas exceeded 5%, 5%, and 10% of the floodplain respectively. In contrast, z was always less than 0.18 for focal areas where impounded water exceeded 40% of floodplain area. Our results suggest that rehabilitation efforts that target areas with <5% of the floodplain in side channels, <5% in floodplain lakes, and/or <10% in shallow-water areas could improve habitat diversity across multiple scales in the UMR.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2011.06.013","usgsCitation":"De Jager, N.R., and Rohweder, J., 2012, Spatial patterns of aquatic habitat richness in the Upper Mississippi River floodplain, USA: Ecological Indicators, v. 13, no. 1, p. 275-283, https://doi.org/10.1016/j.ecolind.2011.06.013.","productDescription":"9 p.","startPage":"275","endPage":"283","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":381878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.59277343749999,\n 45.73685954736049\n ],\n [\n -93.8671875,\n 44.84029065139799\n ],\n [\n -91.845703125,\n 42.71473218539458\n ],\n [\n -91.97753906249999,\n 40.1452892956766\n ],\n [\n -91.0546875,\n 37.71859032558816\n ],\n [\n -90.3955078125,\n 36.4566360115962\n ],\n [\n -88.11035156249999,\n 36.77409249464195\n ],\n [\n -89.2529296875,\n 39.67337039176558\n ],\n [\n -89.6044921875,\n 42.19596877629178\n ],\n [\n -91.23046875,\n 45.30580259943578\n ],\n [\n -92.59277343749999,\n 45.73685954736049\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b949ae4b08c986b31ab9e","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":104616,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":352390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohweder, Jason J.","contributorId":25629,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason J.","affiliations":[],"preferred":false,"id":352389,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227333,"text":"70227333 - 2012 - Geochemical modeling of changes in shallow groundwater chemistry observed during the MSU-ZERT CO2 injection experiment","interactions":[],"lastModifiedDate":"2022-01-10T15:36:27.174564","indexId":"70227333","displayToPublicDate":"2011-11-26T09:26:26","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2049,"text":"International Journal of Greenhouse Gas Control","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Geochemical modeling of changes in shallow groundwater chemistry observed during the MSU-ZERT CO2 injection experiment","title":"Geochemical modeling of changes in shallow groundwater chemistry observed during the MSU-ZERT CO2 injection experiment","docAbstract":"A field experiment involving the release of carbon dioxide (CO2) into a shallow aquifer was conducted near Bozeman, Montana, during the summer of 2008, to investigate the potential groundwater quality impacts in the case of leakage of CO2 from deep geological storage. As an essential part of the Montana State University Zero Emission Research and Technology (MSU-ZERT) field program, food-grade CO2 was injected over a 30 day period into a horizontal perforated pipe a few feet below the water table of a shallow aquifer. The impact of elevated CO2 concentrations on groundwater quality was investigated by analyzing water samples taken before, during, and following CO2 injection, from observation wells located in the vicinity of the injection pipe, and from two distant monitoring wells. Field measurements and laboratory analyses showed rapid and systematic changes in pH, alkalinity, and conductance, as well as increases in the aqueous concentrations of naturally occurring major and trace element species.
The geochemical data were evaluated using principal component analysis (PCA) to (1) understand potential correlations between aqueous species, and (2) to identify minerals controlling the chemical composition of the groundwater prior to CO2 injection. These evaluations were used to assess possible geochemical processes responsible for the observed increases in the concentrations of dissolved constituents, and to simulate these processes using a multicomponent reaction path model. Reasonable agreement between observed and modeled data suggests that (1) calcite dissolution was the primary pH buffer, yielding increased Ca+2 concentrations in the groundwater, (2) increases in the concentrations of most major and trace metal cations except Fe could be a result of Ca+2-driven exchange reactions, (3) the release of anions from adsorption sites due to competitive adsorption of carbonate could explain the observed trends of most anions, and (4) the dissolution of reactive Fe minerals (presumed ferrihydrite and fougerite, from thermodynamic analyses) could explain increases in total Fe concentration.
► Because the possibility of CO2 leakage cannot be completely ruled out, the potential impact of CO2 intrusion on the quality of fresh water aquifers overlying CO2 storage sites needs to be investigated. ► Geochemical data from a field experiment involving the release of carbon dioxide (CO2) into a shallow aquifer were evaluated. ► Geochemical model used to assess possible geochemical processes responsible for the observed increases in the concentrations of dissolved constituents. ► Reasonable agreement between observed and modeled data suggests that increases in the concentrations of most major and trace metal cations except Fe could be a result of Ca+2-driven exchange reactions and the release of anions from adsorption sites due to competitive adsorption of carbonate could explain the observed trends of most anions.
Emergent sandbars on the Missouri River are actively managed for two listed bird species, piping plovers and interior least terns. As a plunge-diving piscivore, endangered least terns rely on ready access to appropriately sized slender-bodied fish: <52 mm total length for adults and <34 mm total length for young chicks. As part of a multi-agency recovery programme, aimed at enhancing nesting habitat for plovers and terns, the U.S. Army Corps of Engineers mechanically created several emergent sandbars on the Missouri River. However, it was unknown whether sandbar construction is a benefit or a detriment to forage abundance for least terns. Therefore, we studied the shallow-water (<1.5 m) fish community near river and mechanically created emergent sandbars during three nesting seasons (2006–2008). We sampled every 2 weeks each year from late May to July within 15–16 areas to document the relative abundance, species richness and size classes of fish. Fish relative abundance was negatively related to depth. Catches were dominated by schooling species, including emerald shiner, sand shiner, spotfin shiner and bigmouth buffalo. Significant inter-annual differences in relative abundance were observed, with generally increasing trends in intra-seasonal relative abundance of shiners and the smallest size classes of fish (<34 mm). Significant differences in the fish communities between the sandbar types were not detected in this study. Results suggest that mechanical sandbar habitats host comparable fish communities at similar levels of relative abundance. Further analyses are required to evaluate if the levels of fish relative abundance are adequate to support least tern foraging and reproduction.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.1525","usgsCitation":"Stucker, J.H., Buhl, D., and Sherfy, M., 2012, Emergent sandbar construction for least terns on the Missouri River: Effects on forage fishes in shallow-water habitats: River Research and Applications, v. 28, no. 8, p. 1254-1265, https://doi.org/10.1002/rra.1525.","productDescription":"12p.","startPage":"1254","endPage":"1265","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204357,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska, South Dakota","otherGeospatial":"Gavins Point Reach, Lewis And Clark Lake, Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.39404296875,\n 42.437647200108685\n ],\n [\n -96.76483154296875,\n 42.863886280785835\n ],\n [\n -96.87469482421875,\n 43.062868070571454\n ],\n [\n -98.86871337890624,\n 43.2512044908875\n ],\n [\n -99.04449462890625,\n 43.14909399920127\n ],\n [\n -99.00054931640625,\n 42.817566071581616\n ],\n [\n -98.83575439453125,\n 42.71675017681163\n ],\n [\n -97.46246337890625,\n 42.61981257367216\n ],\n [\n -96.39404296875,\n 42.437647200108685\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-04-18","publicationStatus":"PW","scienceBaseUri":"4f4e4a19e4b07f02db6058cc","contributors":{"authors":[{"text":"Stucker, J. H.","contributorId":22595,"corporation":false,"usgs":true,"family":"Stucker","given":"J.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":353242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhl, D. A. 0000-0002-8563-5990","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":13571,"corporation":false,"usgs":true,"family":"Buhl","given":"D. A.","affiliations":[],"preferred":false,"id":353241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherfy, M. H. 0000-0003-3016-4105","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":42561,"corporation":false,"usgs":true,"family":"Sherfy","given":"M. H.","affiliations":[],"preferred":false,"id":353243,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70102820,"text":"70102820 - 2012 - Programs for calibration‐based Monte Carlo simulation of recharge areas","interactions":[],"lastModifiedDate":"2019-07-03T14:25:36","indexId":"70102820","displayToPublicDate":"2011-10-11T13:24:55","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Programs for calibration‐based Monte Carlo simulation of recharge areas","docAbstract":"One use of groundwater flow models is to simulate contributing recharge areas to wells or springs. Particle tracking can be used to simulate these recharge areas, but in many cases the modeler is not sure how accurate these recharge areas are because parameters such as hydraulic conductivity and recharge have errors associated with them. The scripts described in this article (GEN_LHS and MCDRIVER_LHS) use the Python scripting language to run a Monte Carlo simulation with Latin hypercube sampling where model parameters such as hydraulic conductivity and recharge are randomly varied for a large number of model simulations, and the probability of a particle being in the contributing area of a well is calculated based on the results of multiple simulations. Monte Carlo simulation provides one useful measure of the variability in modeled particles. The Monte Carlo method described here is unique in that it uses parameter sets derived from the optimal parameters, their standard deviations, and their correlation matrix, all of which are calculated during nonlinear regression model calibration. In addition, this method uses a set of acceptance criteria to eliminate unrealistic parameter sets.
","language":"English","publisher":"NGWA","doi":"10.1111/j.1745-6584.2011.00868.x","usgsCitation":"Starn, J., and Bagtzoglou, A.C., 2012, Programs for calibration‐based Monte Carlo simulation of recharge areas: Ground Water, v. 50, no. 3, p. 472-476, https://doi.org/10.1111/j.1745-6584.2011.00868.x.","productDescription":"5 p.","startPage":"472","endPage":"476","ipdsId":"IP-029084","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":365284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Starn, J. Jeffrey 0000-0001-5909-0010 jjstarn@usgs.gov","orcid":"https://orcid.org/0000-0001-5909-0010","contributorId":1916,"corporation":false,"usgs":true,"family":"Starn","given":"J. Jeffrey","email":"jjstarn@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":false,"id":518736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagtzoglou, Amvrossios C.","contributorId":211518,"corporation":false,"usgs":false,"family":"Bagtzoglou","given":"Amvrossios","email":"","middleInitial":"C.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":765422,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005482,"text":"70005482 - 2012 - Effects of flow releases on macroinvertebrate assemblages in the Indian and Hudson Rivers in the Adirondack Mountains of Northern New York","interactions":[],"lastModifiedDate":"2021-05-20T22:31:50.948419","indexId":"70005482","displayToPublicDate":"2011-10-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of flow releases on macroinvertebrate assemblages in the Indian and Hudson Rivers in the Adirondack Mountains of Northern New York","docAbstract":"The effects of flow releases (daily during spring and four times weekly during summer) from a small impoundment on macroinvertebrate assemblages in the lower Indian River and upper Hudson River of northern New York were assessed during the summers of 2005 and 2006. Community indices, feeding guilds, dominant species and Bray–Curtis similarities at three sites on the Indian River, below a regulated impoundment, were compared with those at four control sites on the Cedar River, below a run-of-the-river impoundment of comparable size. The same indices at four less-likely affected sites on the Hudson River, below the mouth of the Indian River, were compared with those at an upstream control site on the Hudson River. Results show that the function and apparent health of macroinvertebrate communities were generally unaffected by atypical flow regimes and/or altered water quality at study reaches downstream from both dams in the Indian, Cedar and Hudson Rivers. The lentic nature of releases from both impoundments, however, produced significant changes in the structure of assemblages at Indian and Cedar River sites immediately downstream from both dams, moderate effects at two Indian River sites 2.4 and 4.0 km downstream from its dam, little or no effect at three Cedar River sites 7.2–34.2 km downstream from its dam, and no effect at any Hudson River site. Bray–Curtis similarities indicate that assemblages did not differ significantly among sites within similar impact categories. The paucity of scrapers at all Indian River sites, and the predominance of filter-feeding Simulium gouldingi and Pisidium compressum immediately below Abanakee dam, show that only minor differences in dominant species and trophic structure of macroinvertebrate communities occurred at affected sites in the Indian River compared to the Cedar River. Thus, flow releases had only a small, localized effect on macroinvertebrate communities in the Indian River.
","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.1480","usgsCitation":"Baldigo, B., and Smith, A.J., 2012, Effects of flow releases on macroinvertebrate assemblages in the Indian and Hudson Rivers in the Adirondack Mountains of Northern New York: River Research and Applications, v. 28, no. 7, p. 858-871, https://doi.org/10.1002/rra.1480.","productDescription":"14 p.","startPage":"858","endPage":"871","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":474696,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.1480","text":"Publisher Index Page"},{"id":204469,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"projection":"Universal Transverse Mercator","country":"United States","state":"New York","otherGeospatial":"Cedar River, Hudson River, Indian River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.6,43.583333333333336 ], [ -74.6,43.916666666666664 ], [ -74,43.916666666666664 ], [ -74,43.583333333333336 ], [ -74.6,43.583333333333336 ] ] ] } } ] }","volume":"28","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-01-20","publicationStatus":"PW","scienceBaseUri":"4f4e4a2ce4b07f02db613a24","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, A. J.","contributorId":67040,"corporation":false,"usgs":false,"family":"Smith","given":"A.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":352639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70180378,"text":"70180378 - 2012 - Anthropogenic aerosols as a source of ancient dissolved organic matter in glaciers","interactions":[],"lastModifiedDate":"2018-01-30T21:09:16","indexId":"70180378","displayToPublicDate":"2011-06-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic aerosols as a source of ancient dissolved organic matter in glaciers","docAbstract":"Glacier-derived dissolved organic matter represents a quantitatively significant source of ancient, yet highly bioavailable carbon to downstream ecosystems. This finding runs counter to logical perceptions of age–reactivity relationships, in which the least reactive material withstands degradation the longest and is therefore the oldest. The remnants of ancient peatlands and forests overrun by glaciers have been invoked as the source of this organic matter. Here, we examine the radiocarbon age and chemical composition of dissolved organic matter in snow, glacier surface water, ice and glacier outflow samples from Alaska to determine the origin of the organic matter. Low levels of compounds derived from vascular plants indicate that the organic matter does not originate from forests or peatlands. Instead, we show that the organic matter on the surface of the glaciers is radiocarbon depleted, consistent with an anthropogenic aerosol source. Fluorescence spectrophotometry measurements reveal the presence of protein-like compounds of microbial or aerosol origin. In addition, ultrahigh-resolution mass spectrometry measurements document the presence of combustion products found in anthropogenic aerosols. Based on the presence of these compounds, we suggest that aerosols derived from fossil fuel burning are a source of pre-aged organic matter to glacier surfaces. Furthermore, we show that the molecular signature of the organic matter is conserved in snow, glacier water and outflow, suggesting that the anthropogenic carbon is exported relatively unchanged in glacier outflows.
","language":"English","publisher":"Nature Pub. Group","publisherLocation":"New York, NY","doi":"10.1038/ngeo1403","usgsCitation":"Stubbins, A., Hood, E., Raymond, P.A., Aiken, G.R., Sleighter, R.L., Hernes, P.J., Butman, D., Hatcher, P., Striegl, R.G., Schuster, P.F., Abdulla, H.A., Vermilyea, A.W., Scott, D.T., and Spencer, R., 2012, Anthropogenic aerosols as a source of ancient dissolved organic matter in glaciers: Nature Geoscience, v. 5, p. 198-201, https://doi.org/10.1038/ngeo1403.","productDescription":"4 p.","startPage":"198","endPage":"201","ipdsId":"IP-029399","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":334287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-02-19","publicationStatus":"PW","scienceBaseUri":"58905ef2e4b072a7ac0cad41","contributors":{"authors":[{"text":"Stubbins, Aron","contributorId":80949,"corporation":false,"usgs":true,"family":"Stubbins","given":"Aron","affiliations":[],"preferred":false,"id":661537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":661538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raymond, Peter A.","contributorId":172876,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":17883,"text":"Yale School of Forestry and Environmental Studies, New Haven, CT","active":true,"usgs":false}],"preferred":false,"id":661539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":661446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sleighter, Rachel L.","contributorId":178907,"corporation":false,"usgs":false,"family":"Sleighter","given":"Rachel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":661540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hernes, Peter J.","contributorId":85311,"corporation":false,"usgs":true,"family":"Hernes","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":661541,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Butman, David","contributorId":51011,"corporation":false,"usgs":true,"family":"Butman","given":"David","affiliations":[],"preferred":false,"id":661542,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hatcher, Patrick G.","contributorId":17367,"corporation":false,"usgs":true,"family":"Hatcher","given":"Patrick G.","affiliations":[],"preferred":false,"id":661543,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":661448,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schuster, Paul F. 0000-0002-8314-1372 pschuste@usgs.gov","orcid":"https://orcid.org/0000-0002-8314-1372","contributorId":1360,"corporation":false,"usgs":true,"family":"Schuster","given":"Paul","email":"pschuste@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":661447,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Abdulla, Hussain A.N.","contributorId":178908,"corporation":false,"usgs":false,"family":"Abdulla","given":"Hussain","email":"","middleInitial":"A.N.","affiliations":[],"preferred":false,"id":661544,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vermilyea, Andrew W.","contributorId":178909,"corporation":false,"usgs":false,"family":"Vermilyea","given":"Andrew","email":"","middleInitial":"W.","affiliations":[{"id":35721,"text":"Castleton University, Castleton, Vermont, USA","active":true,"usgs":false}],"preferred":false,"id":661545,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Scott, Durelle T.","contributorId":102383,"corporation":false,"usgs":true,"family":"Scott","given":"Durelle","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":661546,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Spencer, Robert G.M.","contributorId":173304,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G.M.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":661547,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70118981,"text":"70118981 - 2012 - MODFLOW-style parameters in underdetermined parameter estimation","interactions":[],"lastModifiedDate":"2024-04-24T16:19:51.813673","indexId":"70118981","displayToPublicDate":"2011-02-25T09:11:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"MODFLOW-style parameters in underdetermined parameter estimation","docAbstract":"In this article, we discuss the use of MODFLOW-Style parameters in the numerical codes MODFLOW_2005 and MODFLOW_2005-Adjoint for the definition of variables in the Layer Property Flow package. Parameters are a useful tool to represent aquifer properties in both codes and are the only option available in the adjoint version. Moreover, for overdetermined parameter estimation problems, the parameter approach for model input can make data input easier. We found that if each estimable parameter is defined by one parameter, the codes require a large computational effort and substantial gains in efficiency are achieved by removing logical comparison of character strings that represent the names and types of the parameters. An alternative formulation already available in the current implementation of the code can also alleviate the efficiency degradation due to character comparisons in the special case of distributed parameters defined through multiplication matrices. The authors also hope that lessons learned in analyzing the performance of the MODFLOW family codes will be enlightening to developers of other Fortran implementations of numerical codes.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/j.1745-6584.2011.00803.x","usgsCitation":"D’Oria, M.D., and Fienen, M., 2012, MODFLOW-style parameters in underdetermined parameter estimation: Groundwater, v. 50, no. 1, p. 149-153, https://doi.org/10.1111/j.1745-6584.2011.00803.x.","productDescription":"5 p.","startPage":"149","endPage":"153","ipdsId":"IP-016755","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":291560,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-02-25","publicationStatus":"PW","scienceBaseUri":"53e09e5be4b0beb42bdca469","contributors":{"authors":[{"text":"D’Oria, Marco D.","contributorId":22258,"corporation":false,"usgs":true,"family":"D’Oria","given":"Marco","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":497550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":497549,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156573,"text":"70156573 - 2012 - Canadian SAR remote sensing for the Terrestrial Wetland Global Change Research Network (TWGCRN)","interactions":[],"lastModifiedDate":"2022-04-13T14:56:01.266436","indexId":"70156573","displayToPublicDate":"2010-09-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Canadian SAR remote sensing for the Terrestrial Wetland Global Change Research Network (TWGCRN)","docAbstract":"The Canada Centre for Remote Sensing (CCRS) has more than 30 years of experience investigating the use of SAR remote sensing for many applications related to terrestrial water resources. Recently, CCRS scientists began contributing to the Terrestrial Wetland Global Change Research Network (TWGCRN), a bi-national research network dedicated to assessing impacts of global change on interconnected wetland-upland landscapes across a vital portion of North America. CCRS scientists are applying SAR remote sensing to characterize wetland components of these landscapes in three ways. First, they are using a comprehensive set of RADARSAT-2 SAR data collected during April to September 2009 to extract multi-temporal surface water information for key TWGCRN study landscapes in North America. Second, they are analyzing polarimetric RADARSAT-2 data to determine areas where double-bounce represents the primary scattering mechanism and is indicative of flooded vegetation in these landscapes. Third, they are testing advanced interferometric SAR techniques to estimate water levels with RADARSAT-2 Fine Quad polarimetric image pairs. The combined information from these three SAR analysis activities will provide TWGCRN scientists with an integrated view and monitoring capability for these dynamic wetland-upland landscapes. These data are being used in conjunction with other remote sensing and field data to study interactions between landscape and animal (birds and amphibians) responses to climate/global change.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote Sensing and Hydrology (Proceedings of a symposium held at Jackson Hole, Wyoming, USA, September 2010) (IAHS Publ. 352, 2012)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Remote Sensing and Hydrology 2010 Symposium","conferenceDate":"September 27-30, 2010","conferenceLocation":"Jackson Hole, Wyoming","language":"English","publisher":"IAHS","usgsCitation":"Kaya, S., Brisco, B., Cull, A., Gallant, A.L., Sadinski, W.J., and Thompson, D., 2012, Canadian SAR remote sensing for the Terrestrial Wetland Global Change Research Network (TWGCRN), in Remote Sensing and Hydrology (Proceedings of a symposium held at Jackson Hole, Wyoming, USA, September 2010) (IAHS Publ. 352, 2012), Jackson Hole, Wyoming, September 27-30, 2010, p. 380-383.","productDescription":"4 p.","startPage":"380","endPage":"383","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023892","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe821de4b0824b2d148459","contributors":{"authors":[{"text":"Kaya, Shannon","contributorId":119420,"corporation":false,"usgs":true,"family":"Kaya","given":"Shannon","affiliations":[],"preferred":false,"id":569543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brisco, Brian","contributorId":37665,"corporation":false,"usgs":true,"family":"Brisco","given":"Brian","email":"","affiliations":[],"preferred":false,"id":569544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cull, Andrew","contributorId":117263,"corporation":false,"usgs":true,"family":"Cull","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":569545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":569546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sadinski, Walter J. wsadinski@usgs.gov","contributorId":3287,"corporation":false,"usgs":true,"family":"Sadinski","given":"Walter","email":"wsadinski@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":569547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Dean","contributorId":120162,"corporation":false,"usgs":true,"family":"Thompson","given":"Dean","email":"","affiliations":[],"preferred":false,"id":569548,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":39853,"text":"twri09A6.6 - 2012 - Chapter A6. Section 6.6. Alkalinity and acid neutralizing capacity","interactions":[],"lastModifiedDate":"2019-05-28T12:21:40","indexId":"twri09A6.6","displayToPublicDate":"1999-01-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":336,"text":"Techniques of Water-Resources Investigations","code":"TWRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"09-A6.6","title":"Chapter A6. Section 6.6. Alkalinity and acid neutralizing capacity","docAbstract":"Alkalinity (determined on a filtered sample) and Acid Neutralizing Capacity (ANC) (determined on a whole-water sample) are measures of the ability of a water sample to neutralize strong acid. Alkalinity and ANC provide information on the suitability of water for uses such as irrigation, determining the efficiency of wastewater processes, determining the presence of contamination by anthropogenic wastes, and maintaining ecosystem health. In addition, alkalinity is used to gain insights on the chemical evolution of an aqueous system. This section of the National Field Manual (NFM) describes the USGS field protocols for alkalinity/ANC determination using either the inflection-point or Gran function plot methods, including calculation of carbonate species, and provides guidance on equipment selection. Newly published and revised chapters will be announced on the USGS Home Page on the World Wide Web under 'New Publications of the U.S. Geological Survey.'
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/twri09A6.6","usgsCitation":"Rounds, S.A., and Wilde, F.D., 2012, Chapter A6. Section 6.6. Alkalinity and acid neutralizing capacity (Version 3, Revised Jul 2006): U.S. Geological Survey Techniques of Water-Resources Investigations 09-A6.6, 53 p., https://doi.org/10.3133/twri09A6.6.","productDescription":"53 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":172683,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":363018,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a66/twri9a_chapter6.6_9-2001.pdf","text":"Report September 2001","size":"692 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Second Edition (without comments)"},{"id":363017,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a66/twri9a_Section6.6_4-98.pdf","text":"Report April 1998","size":"131 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Original Report"},{"id":363697,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/tm9A0","text":"Techniques and Methods 9-AO","linkHelpText":"- General Introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":363019,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a66/twri9a_chapter6.6.pdf","text":"Report September 2001","size":"3.95 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Second Edition (with comment updates)"},{"id":363020,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a66/twri9a_chapter6.6._v3.pdf","text":"Report July 2006","size":"414 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Third Edition"},{"id":3567,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a66/twri9a_6.6.pdf","text":"Report","size":"648 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TWRI 9a6.6"}],"edition":"Version 3, Revised Jul 2006","contact":"Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Email: nfm@usgs.gov
","tableOfContents":"Arsenic, one of the most hazardous elements occurring in coals, can be released to the environment during coal processing and combustion. Based on the available literature and published results obtained in our laboratory, the content, distribution and the modes of occurrence of As in Chinese coals, and its environmental and impacts are reviewed in this article. With the 4763 sets of data (from the literature) rearranged, the arithmetic mean As concentration of each province and weighted mean As concentration of the entire country (using the expected coal reserves as the weighting factor) were calculated. The weighted mean As concentration in Chinese coals is 3.18 mg/kg, with As concentration increasing from northern China to southern China. The As concentration in coal varies with coal-forming ages and coal ranks. Arsenic has several modes of occurrence in coals. According to results obtained by other studies and our own experiments, As is mainly associated with mineral matter (such as pyrite and other sulfide minerals) in coals, although a significant amount of arsenic is associated with organic matter. The accumulation of As in coal is controlled by many geological factors during coal-forming processes, including plant decomposition, sedimentary environments, and epigenetic hydrothermal activity. During the combustion of coal, As is released to the air, water, and soil, causing serious environmental pollution. More than 45% of the coal consumed in China is utilized by power plants, and it is estimated that nearly 522 tonnes, 21 tonnes and 252 tonnes of As are emitted into the atmosphere by industries, residential buildings and coal-fired power plants, respectively, every year.
","language":"English","publisher":"Science of the Total Environment","doi":"10.1016/j.scitotenv.2011.10.026","usgsCitation":"Kang, Y., and Liu, G., 2011, Arsenic in Chinese coals: Distribution, modes of occurrence, and environmental effects, v. 412, p. 1-13, https://doi.org/10.1016/j.scitotenv.2011.10.026.","productDescription":"13 p.","startPage":"1","endPage":"13","costCenters":[],"links":[{"id":364805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"412","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kang, Y.","contributorId":54431,"corporation":false,"usgs":true,"family":"Kang","given":"Y.","email":"","affiliations":[],"preferred":false,"id":764581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Guijian","contributorId":216351,"corporation":false,"usgs":false,"family":"Liu","given":"Guijian","email":"","affiliations":[],"preferred":false,"id":764582,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178332,"text":"70178332 - 2011 - Groundwater–surface-water exchange and the geologic setting of northern Minnesota's lakes, wetlands, and streams—Modern-day relevance of Tom Winter's legacy","interactions":[],"lastModifiedDate":"2016-11-17T12:58:17","indexId":"70178332","displayToPublicDate":"2016-11-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater–surface-water exchange and the geologic setting of northern Minnesota's lakes, wetlands, and streams—Modern-day relevance of Tom Winter's legacy","docAbstract":"Tom Winter spent nearly 50 years conducting research in earth science, and he specialized in the exchange between groundwater and surface water. Tom's highly productive career began in Minnesota. This fi eld trip revisits many of the places where Tom conducted his early research and demonstrates the continuing relevance of that research. Stops and topics include the groundwater infl uence on the record low stage of White Bear Lake, the contribution of groundwater to continually rising water levels in an abandoned open-pit iron mine, hydrogeology of the Shingobee headwaters aquatic ecosystem research site, hydrogeology of Lake Sallie, geology associated with the Pillager water gap, and the hydrogeology of Little Rock Lake.
","language":"English","publisher":"Geological Society of America ","doi":"10.1130/2011.0024(27e)","usgsCitation":"Rosenberry, D.O., Melchior, R.C., Jones, P.M., Strietz, A., Barr, K.D., Lee, D.R., and Piegat, J.J., 2011, Groundwater–surface-water exchange and the geologic setting of northern Minnesota's lakes, wetlands, and streams—Modern-day relevance of Tom Winter's legacy: GSA Field Guides, v. 24, p. 545-585, https://doi.org/10.1130/2011.0024(27e).","productDescription":"41 p.","startPage":"545","endPage":"585","ipdsId":"IP-038791","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":331099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-05","publicationStatus":"PW","scienceBaseUri":"582ecff1e4b04d580bd4353c","contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":653615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melchior, Robert C.","contributorId":79025,"corporation":false,"usgs":true,"family":"Melchior","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":653620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Perry M. 0000-0002-6569-5144 pmjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6569-5144","contributorId":2231,"corporation":false,"usgs":true,"family":"Jones","given":"Perry","email":"pmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":653614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strietz, Andrew","contributorId":176827,"corporation":false,"usgs":false,"family":"Strietz","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":653616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barr, Kelton D.","contributorId":176830,"corporation":false,"usgs":false,"family":"Barr","given":"Kelton","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":653619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, David R.","contributorId":176828,"corporation":false,"usgs":false,"family":"Lee","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":653617,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Piegat, James J.","contributorId":176829,"corporation":false,"usgs":false,"family":"Piegat","given":"James","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":653618,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70005960,"text":"70005960 - 2011 - ASTER Global Digital Elevation Model Version 2 - summary of validation results","interactions":[],"lastModifiedDate":"2017-01-18T13:43:06","indexId":"70005960","displayToPublicDate":"2015-07-12T12:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"ASTER Global Digital Elevation Model Version 2 - summary of validation results","docAbstract":"On June 29, 2009, NASA and the Ministry of Economy, Trade and Industry (METI) of Japan released a Global Digital Elevation Model (GDEM) to users worldwide at no charge as a contribution to the Global Earth Observing System of Systems (GEOSS). This “version 1” ASTER GDEM (GDEM1) was compiled from over 1.2 million scenebased DEMs covering land surfaces between 83°N and 83°S latitudes. A joint U.S.-Japan validation team assessed the accuracy of the GDEM1, augmented by a team of 20 cooperators. The GDEM1 was found to have an overall accuracy of around 20 meters at the 95% confidence level. The team also noted several artifacts associated with poor stereo coverage at high latitudes, cloud contamination, water masking issues and the stacking process used to produce the GDEM1 from individual scene-based DEMs (ASTER GDEM Validation Team, 2009). Two independent horizontal resolution studies estimated the effective spatial resolution of the GDEM1 to be on the order of 120 meters.
\nA second version of the ASTER GDEM (GDEM2) is scheduled for release by NASA and METI in mid-October, 2011. Improvements in the GDEM2 result from acquiring 260,000 additional scenes to improve coverage, a smaller correlation kernel to yield higher spatial resolution, and improved water masking. As with the GDEM1, the GDEM2 validation was performed by the U.S. and Japanese partners. Vertical accuracy assessments included a comparison of the GDEM2 against absolute geodetic references over the Conterminous US (CONUS), against national elevation grids over the US and Japan, against the Shuttle Radar Topography Mission (SRTM) 1 arc-second elevation grids over the US and 20 sites around the globe, and against space borne laser altimeter data globally. Horizontal accuracy assessments were conducted as part of the Japan and the global SRTM studies, and horizontal resolution studies were conducted in both Japan and the US. Each group documented changes in artifacts in GDEM2 due to processing improvements.
\nThe absolute vertical accuracy study found the GDEM2 to be within -0.20 meters on average when compared against 18,000 geodetic control points over the CONUS, with an accuracy of 17 meters at the 95% confidence level. The Japan study noted the GDEM2 differed from the 10-meter national elevation grid by -0.7 meters over bare areas, and by 7.4 meters over forested areas. Similarly, the CONUS study noted the GDEM2 to be about 8 meters above the 1 arc-second NED over most forested areas, and more than a meter below NED over bare areas. The global altimeter study found the GDEM2 to be on average within 3 meters of altimeter-derived control, and also documented sensitivity to tree canopy height. The Japan study noted that the horizontal displacement in GDEM1 of 0.95 pixels was reduced to 0.23 pixels in GDEM2. Both teams noted improvements in horizontal resolution, between 71 and 82 meters, comparable to the SRTM 1 arc second elevation model, but at the cost of some increased noise. The number of voids and artifacts noted in GDEM1 were substantially reduced in GDEM2, and in some areas virtually eliminated.
\nBased on these findings, the GDEM validation team recommends the release of the GDEM2 to the public, acknowledging that, while vastly improved, some artifacts still exist which could affect its utility in certain applications.
","language":"English","publisher":"NASA","usgsCitation":"Tachikawa, T., Kaku, M., Iwasaki, A., Gesch, D.B., Oimoen, M.J., Zhang, Z., Danielson, J.J., Krieger, T., Curtis, B., Haase, J., Abrams, M., and Carabajal, C., 2011, ASTER Global Digital Elevation Model Version 2 - summary of validation results (2), 27 p.","productDescription":"27 p","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032819","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310884,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://asterweb.jpl.nasa.gov/gdem.asp"}],"edition":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56389741e4b0d6133fe72f94","contributors":{"compilers":[{"text":"Meyer, 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gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oimoen, Michael J. 0000-0003-3611-6227 oimoen@usgs.gov","orcid":"https://orcid.org/0000-0003-3611-6227","contributorId":4757,"corporation":false,"usgs":true,"family":"Oimoen","given":"Michael","email":"oimoen@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578951,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Z.","contributorId":47505,"corporation":false,"usgs":true,"family":"Zhang","given":"Z.","email":"","affiliations":[],"preferred":false,"id":578952,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":578953,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krieger, Tabatha","contributorId":149608,"corporation":false,"usgs":false,"family":"Krieger","given":"Tabatha","email":"","affiliations":[],"preferred":false,"id":578954,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Curtis, Bill","contributorId":149609,"corporation":false,"usgs":false,"family":"Curtis","given":"Bill","email":"","affiliations":[],"preferred":false,"id":578955,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Haase, Jeff","contributorId":149610,"corporation":false,"usgs":false,"family":"Haase","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":578956,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Abrams, Michael","contributorId":74266,"corporation":false,"usgs":false,"family":"Abrams","given":"Michael","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":578957,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Carabajal, C.","contributorId":46846,"corporation":false,"usgs":true,"family":"Carabajal","given":"C.","email":"","affiliations":[],"preferred":false,"id":578958,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70004342,"text":"70004342 - 2011 - Measuring the impacts of natural amenities and the US-Mexico Border, on housing values in the Santa Cruz Watershed, using spatially-weighted hedonic modeling","interactions":[],"lastModifiedDate":"2015-11-05T12:52:21","indexId":"70004342","displayToPublicDate":"2015-07-06T09:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Measuring the impacts of natural amenities and the US-Mexico Border, on housing values in the Santa Cruz Watershed, using spatially-weighted hedonic modeling","docAbstract":"Assessing the sustainability of International policy or urban development requires consideration of the impacts of these decisions on Ecosystem Services, or the values that humans receive from the ecosystem, including market-land price, environmental, and human well-being values. Hedonic modeling helps to identify the market land price, considering the price is determined by multiple factors affecting it. In U.S. portions of the bi-national Santa Cruz Watershed (SCW), situated at the Arizona-Sonora International border, natural amenities like the riparian corridor and green space have been documented as positive amenities that boost local real estate.
\nThe goal of this research is to isolate the effects of the US-Mexico border and known environmental or natural amenities or disamenities on housing prices in the binational watershed, while controlling for housing stock characteristics and social-environmental vulnerability. In the ultimate analysis, the mean house values within census blocks will be used to represent local housing stock. A human well-being index that measures people’s socio-environmental vulnerability for the entire SCW is in publication that is based on access to infrastructure, number of bedrooms per house and other social data from the binational census and local colonias database will also be compared. The hedonic pricing method will be applied to statistically estimate a function that relates property values to the variables described.
\nThis presentation will provide a synopsis of the quality of life and hedonics literature review used to develop this research agenda. Variables relevant for local environmental management, having significant effects on property values, will be discussed. The final results obtained from this study can be used determine the benefits of preserving or developing land binationally and will be uploaded to the Santa Cruz Watershed Ecosystem Portfolio Model (SCWEPM), an online Ecosystem Services tool, being created to promote sustainable development in the Borderlands.
","largerWorkTitle":"Proceedings of Santa Cruz River Researchers' Day","conferenceTitle":"Santa Cruz River: Researchers’ Day","conferenceDate":"March 29, 2011","conferenceLocation":"Tucson, AZ","publisher":"Sonoran Institute","usgsCitation":"Amaya, G., Norman, L.M., and Frisvold, G., 2011, Measuring the impacts of natural amenities and the US-Mexico Border, on housing values in the Santa Cruz Watershed, using spatially-weighted hedonic modeling, in Proceedings of Santa Cruz River Researchers' Day, Tucson, AZ, March 29, 2011.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028456","costCenters":[],"links":[{"id":311050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311049,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://www.sonoraninstitute.org/images/stories/pdfs/Events/SCRResearchDays/scrrd%202011%20proceedings.pdf"}],"country":"Mexico, United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563c8bbfe4b0831b7d61eff5","contributors":{"authors":[{"text":"Amaya, Gladys","contributorId":86212,"corporation":false,"usgs":true,"family":"Amaya","given":"Gladys","email":"","affiliations":[],"preferred":false,"id":579400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":579401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frisvold, George","contributorId":9569,"corporation":false,"usgs":true,"family":"Frisvold","given":"George","email":"","affiliations":[],"preferred":false,"id":579402,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004248,"text":"70004248 - 2011 - Multicomponent seismic methods for characterizing gas hydrate occurrences and systems in deep-water Gulf of Mexico","interactions":[],"lastModifiedDate":"2015-10-28T11:38:06","indexId":"70004248","displayToPublicDate":"2015-06-15T13:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Multicomponent seismic methods for characterizing gas hydrate occurrences and systems in deep-water Gulf of Mexico","docAbstract":"In-situ characterization and quantification of natural gas hydrate occurrences remain critical research directions, whether for energy resource, drilling hazard, or climate-related studies. Marine multicomponent seismic data provide the full seismic wavefield including partial redundancy, and provide a promising set of approaches for gas hydrate characterization. Numerous authors have demonstrated the possibilities of multicomponent data at study sites around the world. We expand on this work by investigating the utility of very densely spaced (10’s of meters) multicomponent receivers (ocean-bottom cables, OBC, or ocean-bottom seismometers, OBS) for gas hydrate studies in the Gulf of Mexico and elsewhere. Advanced processing techniques provide high-resolution compressional-wave (PP) and converted shearwave (PS) reflection images of shallow stratigraphy, as well as P-wave and S-wave velocity estimates at each receiver position. Reflection impedance estimates can help constrain velocity and density, and thus gas hydrate saturation. Further constraint on velocity can be determined through identification of the critical angle and associated phase reversal in both PP and PS wideangle data. We demonstrate these concepts with examples from OBC data from the northeast Green Canyon area and numerically simulated OBS data that are based on properties of known gas hydrate occurrences in the southeast (deeper water) Green Canyon area. These multicomponent data capabilities can provide a wealth of characterization and quantification information that is difficult to obtain with other geophysical methods.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the 7th International Conference on Gas Hydrates (ICGH 2011)","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"7th International Conference on Gas Hydrates","conferenceDate":"July 17-21, 2011","conferenceLocation":"Edinburgh, Scotland, United Kingdom","language":"English","usgsCitation":"Haines, S.S., Lee, M.W., Collett, T.S., and Hardage, B.A., 2011, Multicomponent seismic methods for characterizing gas hydrate occurrences and systems in deep-water Gulf of Mexico, in Proceedings of the 7th International Conference on Gas Hydrates (ICGH 2011), Edinburgh, Scotland, United Kingdom, July 17-21, 2011, 10 p.","productDescription":"10 p.","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029103","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":310716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Green Canyon, Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.8154296875,\n 26.352497858154\n ],\n [\n -82.9248046875,\n 30.41078179084589\n ],\n [\n -87.978515625,\n 31.240985378021307\n ],\n [\n -95.4052734375,\n 30.486550842588485\n ],\n [\n -97.822265625,\n 28.188243641850313\n ],\n [\n -98.525390625,\n 24.846565348219734\n ],\n [\n -97.294921875,\n 19.020577110966798\n ],\n [\n -90.8349609375,\n 17.895114303749153\n ],\n [\n -88.72558593749999,\n 19.062117883514667\n ],\n [\n -85.9130859375,\n 20.014645445341365\n ],\n [\n -83.671875,\n 21.69826549685252\n ],\n [\n -82.4853515625,\n 23.483400654325642\n ],\n [\n -81.474609375,\n 24.806681353851964\n ],\n [\n -80.8154296875,\n 26.352497858154\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5631f1f8e4b0c1dd0339e4ee","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":578530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Myung W. mlee@usgs.gov","contributorId":779,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"mlee@usgs.gov","middleInitial":"W.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":578531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":578532,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardage, Bob A.","contributorId":149468,"corporation":false,"usgs":false,"family":"Hardage","given":"Bob","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":578533,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70004726,"text":"70004726 - 2011 - Ground water and surface water hydrology","interactions":[],"lastModifiedDate":"2022-12-20T14:25:27.16987","indexId":"70004726","displayToPublicDate":"2015-06-08T08:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Ground water and surface water hydrology","docAbstract":"No abstract available
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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563c8bbce4b0831b7d61efee","contributors":{"editors":[{"text":"Lathrop, Richard G.","contributorId":63727,"corporation":false,"usgs":true,"family":"Lathrop","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":579432,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Zapecza, Otto S. ozapecza@usgs.gov","contributorId":3687,"corporation":false,"usgs":true,"family":"Zapecza","given":"Otto","email":"ozapecza@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":579429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Donald E.","contributorId":70440,"corporation":false,"usgs":true,"family":"Rice","given":"Donald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":579430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DePaul, Vincent T. 0000-0002-7977-5217 vdepaul@usgs.gov","orcid":"https://orcid.org/0000-0002-7977-5217","contributorId":2778,"corporation":false,"usgs":true,"family":"DePaul","given":"Vincent","email":"vdepaul@usgs.gov","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579431,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156408,"text":"70156408 - 2011 - Agricultural sources of contaminants of emerging concern and adverse health effects on freshwater fish","interactions":[],"lastModifiedDate":"2021-10-29T16:11:57.183944","indexId":"70156408","displayToPublicDate":"2014-08-19T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Agricultural sources of contaminants of emerging concern and adverse health effects on freshwater fish","docAbstract":"Agricultural contaminants of emerging concern (CECs) are generally thought of as certain classes of chemicals associated with animal feeding and production facilities. Veterinary pharmaceuticals used in animal food production systems represent one of the largest groups of CECs. In our review, we discuss the extensive increase in use of antibiotics in animal feeding operations (AFOs) around the world. AFOs are a major consumer of antibiotics and other veterinary pharmaceuticals and over the past decade there has been growing information on the occurrence, release, and fate of CECs from animal food production operations, including the application of pharmaceutical-containing manure to agricultural fields and releases from waste lagoons. Concentrations of CECs in surface and ground water in proximity to AFOs correspond to their presence in the AFO wastes. In many cases, the environmental concentrations of agriculturally-derived CECs are below toxicity thresholds. Hormones and hormone replacement compounds are a notable exception, where chemical concentrations near AFOs can exceed concentrations known to cause adverse effects on endocrine-related functions in fish. In addition, some agricultural pesticides, once thought to be safe to non-target organisms, have demonstrated endocrine-related effects that may pose threats to fish populations in agricultural regions. That is, we have pesticides with emerging concerns, thus, the concern is emerging and not necessarily the chemical. In this light, one must consider certain agricultural pesticides to be included in the list of CECs. Even though agricultural pesticides are routinely evaluated in regulatory testing schemes which have been used for decades, the potential hazards of some pesticides have only recently been emerging. Emerging concerns of pesticides in fish include interference with hormone signaling pathways; additive (or more than additive) effects from pesticide mixtures; and adverse population-level effects at concentrations below predicted toxicity thresholds. Consequently, there is a need to evaluate the environmental concerns related to pesticide exposures to fish populations based on current biological and toxicological techniques. This presentation reviews some of the agricultural chemicals that have emerged as contaminants of concern and potentially threaten fish populations in agricultural watersheds.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International seminar on nuclear war and planetary emergencies : 44th session : The role of science in the third millenium : E. Majorana Centre for Scientific Culture, Erice, Italy, 19-24 August 2011","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Seminar On Nuclear War And Planetary Emergencies - 44th Session : The Role Of Science In The Third Millennium","conferenceDate":"August 19-24, 2011","conferenceLocation":"Erice, Italy","language":"English","publisher":"World Scientific","doi":"10.1142/9789814415019_0028","usgsCitation":"Tillitt, D.E., and Buxton, H.T., 2011, Agricultural sources of contaminants of emerging concern and adverse health effects on freshwater fish, in International seminar on nuclear war and planetary emergencies : 44th session : The role of science in the third millenium : E. Majorana Centre for Scientific Culture, Erice, Italy, 19-24 August 2011, Erice, Italy, August 19-24, 2011, p. 337-348, https://doi.org/10.1142/9789814415019_0028.","productDescription":"12 p.","startPage":"337","endPage":"348","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031921","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":307073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2013-03-13","publicationStatus":"PW","scienceBaseUri":"57f7f5bae4b0bc0bec0a181a","contributors":{"authors":[{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":569054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buxton, Herbert T. hbuxton@usgs.gov","contributorId":1911,"corporation":false,"usgs":true,"family":"Buxton","given":"Herbert","email":"hbuxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":569055,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70004585,"text":"sir20115004 - 2011 - Concentrations, loads, and sources of polychlorinated biphenyls, Neponset River and Neponset River Estuary, eastern Massachusetts","interactions":[],"lastModifiedDate":"2014-06-25T08:48:17","indexId":"sir20115004","displayToPublicDate":"2014-06-08T10:50:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5004","title":"Concentrations, loads, and sources of polychlorinated biphenyls, Neponset River and Neponset River Estuary, eastern Massachusetts","docAbstract":"Polychlorinated biphenyls (PCBs) are known to contaminate the Neponset River, which flows through parts of Boston, Massachusetts, and empties into the Neponset River Estuary, an important fish-spawning area. The river is dammed and impassable to fish. The U.S. Geological Survey, in cooperation with the Massachusetts Department of Fish and Game, Division of Ecological Restoration, Riverways Program, collected, analyzed, and interpreted PCB data from bottom-sediment, water, and (or) fish-tissue samples in 2002, 2004-2006. Samples from the Neponset River and Neponset River Estuary were analyzed for 209 PCB congeners, PCB homologs, and Aroclors. In order to better assess the overall health quality of river-bottom sediments, sediment samples were also tested for concentrations of 31 elements.
\nPCB concentrations measured in the top layers of bottom sediment ranged from 28 nanograms per gram (ng/g) just upstream of the Mother Brook confluence to 24,900 ng/g measured in Mother Brook. Concentrations of elements in bottom sediment were generally higher than background concentrations and higher than levels considered toxic to benthic organisms according to freshwater sediment-quality guidelines defined by the U.S. Environmental Protection Agency. Concentrations of dissolved PCBs in water samples collected from the Neponset River (May 13, 2005 to April 28, 2006) averaged about 9.2 nanograms per liter (ng/L) (annual average of monthly values); however, during the months of August (about 16.5 ng/L) and September (about 15.6 ng/L), dissolved PCB concentrations were greater than 14 ng/L, the U.S. Environmental Protection Agency's freshwater continuous chronic criterion for aquatic organisms. Concentrations of PCBs in white sucker (fillets and whole fish) were all greater than 2,000 ng/g wet wt, the U.S. Environmental Protection Agency's guideline for safe consumption of fish: PCB concentrations measured in fish-tissue samples collected from the Tileston and Hollingsworth and Walter Baker Impoundments were 3,490 and 2,450 ng/g wet wt (filleted) and 6,890 and 4,080 ng/g wet wt (whole fish). Total PCB-congener concentrations measured in the whole bodies of estuarine bait fish (common mummichog) averaged 708 ng/g wet wt.
\nPCBs that pass from the Neponset River to the Neponset River Estuary are either dissolved or associated with particulate matter (including living and nonliving material) suspended in the water column. A small proportion of PCBs may also be transported as part of the body burden of fish and wildlife. During the period May 13, 2005 to April 28, 2006, about 5,100 g (3.8 L or 1 gal) of PCBs were transported from the Neponset River to the Neponset River Estuary. Generally, about one-half of these PCBs were dissolved in the water column and the other half were associated with particulate matter; however, the proportion that was either dissolved or particulate varied seasonally. Most PCBs transported from the river to the estuary are composed of four or fewer chlorine atoms per biphenyl molecule.
\nThe data suggest that widespread PCB contamination of the lower Neponset River originated from Mother Brook, a Neponset River tributary, starting sometime around the early 1950s or earlier. In 1955, catastrophic dam failure caused by flooding likely released PCB-contaminated sediment downstream and into the Neponset River Estuary. PCBs from this source area likely continued to be released after the flood and during subsequent rebuilding of downstream dams. Today (2007), PCBs are mostly trapped behind these dams; however, some PCBs either diffuse or are entrained back into the water column and are transported downstream by river water into the estuary or volatilize into the atmosphere. In addition to the continuing release of PCBs from historically contaminated bottom sediment, PCBs are still (2007) originating from source areas along Mother and Meadow Brook as well as other sources along the river and Boston Harbor. PCBs from the river (transported by river water) and from the harbor (transported by tidal action) appear to have contaminated parts of the Neponset River Estuary.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115004","collaboration":"Prepared in cooperation with the Massachusetts Department of Fish and Game, Division of Ecological Restoration, Riverways Program","usgsCitation":"Breault, R., 2011, Concentrations, loads, and sources of polychlorinated biphenyls, Neponset River and Neponset River Estuary, eastern Massachusetts (Originally posted June 8, 2011; Version 1.1: June 24, 2014): U.S. Geological Survey Scientific Investigations Report 2011-5004, Report: x, 143 p.; Appendixes 1-5, https://doi.org/10.3133/sir20115004.","productDescription":"Report: x, 143 p.; Appendixes 1-5","numberOfPages":"157","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":116612,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5004.jpg"},{"id":21858,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5004/","linkFileType":{"id":5,"text":"html"}},{"id":289031,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx2_508.pdf"},{"id":289029,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004.pdf"},{"id":289030,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx1_508.pdf"},{"id":289032,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx3_508.pdf"},{"id":289033,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx4_508.pdf"},{"id":289034,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx5_508.pdf"}],"projection":"Lambert conformal conic projection","datum":"North American Datum of 1983","country":"United States","state":"Massachusetts","otherGeospatial":"Neponset River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.333333,42.166667 ], [ -71.333333,42.333333 ], [ -71.0,42.333333 ], [ -71.0,42.166667 ], [ -71.333333,42.166667 ] ] ] } } ] }","edition":"Originally posted June 8, 2011; Version 1.1: June 24, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b0d5e4b0388651d9168e","contributors":{"authors":[{"text":"Breault, Robert F. 0000-0002-2517-407X rbreault@usgs.gov","orcid":"https://orcid.org/0000-0002-2517-407X","contributorId":2219,"corporation":false,"usgs":true,"family":"Breault","given":"Robert F.","email":"rbreault@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350803,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047178,"text":"70047178 - 2011 - Tampa Bay","interactions":[],"lastModifiedDate":"2022-12-12T23:12:40.53156","indexId":"70047178","displayToPublicDate":"2014-01-01T10:07:25","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"N","title":"Tampa Bay","docAbstract":"Tampa Bay is Florida’s largest open-water estuary and encompasses an area of approximately 1036 km2 (400 mi2) (Burgan and Engle, 2006; TBNEP, 2006). The Bay’s watershed drains 5,698 km2 (2,200 mi2) of land and includes freshwater from the Hillsborough River to the north east, the Alafia and Little Manatee rivers to the east, and the Manatee River to the south (Figure 1). Freshwater inflow also enters the bay from the Lake Tarpon Canal, from small tidal tributaries, and from watershed runoff. Outflow travels from the upper bay segments (Hillsborough Bay and Old Tampa Bay) into Middle and Lower Tampa Bay. Southwestern portions of the water shed flow through Boca Ciega Bay into the Intracoastal Waterway and through the Southwest Channel and Passage Key Inlet into the Gulf of Mexico. The average depth in most of Tampa Bay is only 3.4 m (11 ft); however, 129 km (80 mi) of shipping channels with a maximum depth of 13.1 m (43 ft) have been dredged over time and are regularly maintained. These channels help to support the three ports within the bay, as well as commercial and recreational boat traffic.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Emergent wetlands status and trends in the northern Gulf of Mexico: 1950-2010","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"conferenceTitle":"2013 Gulf of Mexico Alliance (GOMA) All Hands Meeting","conferenceDate":"June 25-27, 2013","conferenceLocation":"Tampa, FL","language":"English","publisher":"U.S. Geological Survey and U.S. Environmental Protection Agency","usgsCitation":"Handley, L.R., Spear, K., Cross, L., Baumstark, R., Moyer, R., and Thatcher, C.A., 2011, Tampa Bay, 18 p.","productDescription":"18 p.","ipdsId":"IP-045001","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":284146,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284145,"type":{"id":11,"text":"Document"},"url":"https://gom.usgs.gov/web/Site/EmWetStatusTrends"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.94677734375,\n 27.391278222579277\n ],\n [\n -82.30957031249999,\n 27.391278222579277\n ],\n [\n -82.30957031249999,\n 28.16645387574049\n ],\n [\n -82.94677734375,\n 28.16645387574049\n ],\n [\n -82.94677734375,\n 27.391278222579277\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd764ae4b0b2908510acf8","contributors":{"authors":[{"text":"Handley, Lawrence R. handleyl@usgs.gov","contributorId":3459,"corporation":false,"usgs":true,"family":"Handley","given":"Lawrence","email":"handleyl@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":481250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spear, Kathryn 0000-0001-8942-2856","orcid":"https://orcid.org/0000-0001-8942-2856","contributorId":21453,"corporation":false,"usgs":true,"family":"Spear","given":"Kathryn","affiliations":[],"preferred":false,"id":481248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cross, Lindsay","contributorId":17134,"corporation":false,"usgs":true,"family":"Cross","given":"Lindsay","email":"","affiliations":[],"preferred":false,"id":481246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baumstark, René","contributorId":17903,"corporation":false,"usgs":true,"family":"Baumstark","given":"René","affiliations":[],"preferred":false,"id":481247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moyer, Ryan","contributorId":48460,"corporation":false,"usgs":true,"family":"Moyer","given":"Ryan","affiliations":[],"preferred":false,"id":481249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thatcher, Cindy A. 0000-0003-0331-071X thatcherc@usgs.gov","orcid":"https://orcid.org/0000-0003-0331-071X","contributorId":2868,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy","email":"thatcherc@usgs.gov","middleInitial":"A.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":481245,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159491,"text":"70159491 - 2011 - Remote sensing of soil moisture using airborne hyperspectral data","interactions":[],"lastModifiedDate":"2015-11-12T12:08:37","indexId":"70159491","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing of soil moisture using airborne hyperspectral data","docAbstract":"Landscape assessment of soil moisture is critical to understanding the hydrological cycle at the regional scale and in broad-scale studies of biophysical processes affected by global climate changes in temperature and precipitation. Traditional efforts to measure soil moisture have been principally restricted to in situ measurements, so remote sensing techniques are often employed. Hyperspectral sensors with finer spatial resolution and narrow band widths may offer an alternative to traditional multispectral analysis of soil moisture, particularly in landscapes with high spatial heterogeneity. This preliminary research evaluates the ability of remotely sensed hyperspectral data to quantify soil moisture for the Little River Experimental Watershed (LREW), Georgia. An airborne hyperspectral instrument with a short-wavelength infrared (SWIR) sensor was flown in 2005 and 2007 and the results were correlated to in situ soil moisture values. A significant statistical correlation (R 2 value above 0.7 for both sampling dates) for the hyperspectral instrument data and the soil moisture probe data at 5.08 cm (2 inches) was determined. While models for the 20.32 cm (8 inches) and 30.48 cm (12 inches) depths were tested, they were not able to estimate soil moisture to the same degree.
","language":"English","publisher":"Taylor and Francis","doi":"10.2747/1548-1603.48.4.522","usgsCitation":"Finn, M.P., Lewis, M., Bosch, D.D., Giraldo, M., Yamamoto, K.H., Sullivan, D.G., Kincaid, R., Luna, R., Allam, G.K., Kvien, C., and Williams, M.S., 2011, Remote sensing of soil moisture using airborne hyperspectral data: GIScience and Remote Sensing, v. 48, no. 4, p. 522-540, https://doi.org/10.2747/1548-1603.48.4.522.","productDescription":"19 p.","startPage":"522","endPage":"540","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027730","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":311209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"5645c64de4b0e2669b30f214","contributors":{"authors":[{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":579210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Mark (David)","contributorId":149811,"corporation":false,"usgs":false,"family":"Lewis","given":"Mark (David)","affiliations":[],"preferred":false,"id":579666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bosch, David D.","contributorId":149812,"corporation":false,"usgs":false,"family":"Bosch","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":579667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giraldo, Mario","contributorId":66094,"corporation":false,"usgs":true,"family":"Giraldo","given":"Mario","email":"","affiliations":[],"preferred":false,"id":579668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yamamoto, Kristina H. khyamamoto@usgs.gov","contributorId":4490,"corporation":false,"usgs":true,"family":"Yamamoto","given":"Kristina","email":"khyamamoto@usgs.gov","middleInitial":"H.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":579669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Dana G.","contributorId":149813,"corporation":false,"usgs":false,"family":"Sullivan","given":"Dana","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":579670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kincaid, Russell","contributorId":149814,"corporation":false,"usgs":false,"family":"Kincaid","given":"Russell","email":"","affiliations":[],"preferred":false,"id":579671,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luna, Ronaldo","contributorId":64970,"corporation":false,"usgs":true,"family":"Luna","given":"Ronaldo","email":"","affiliations":[],"preferred":false,"id":579672,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Allam, Gopala Krishna","contributorId":149815,"corporation":false,"usgs":false,"family":"Allam","given":"Gopala","email":"","middleInitial":"Krishna","affiliations":[],"preferred":false,"id":579673,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kvien, Craig","contributorId":33434,"corporation":false,"usgs":true,"family":"Kvien","given":"Craig","email":"","affiliations":[],"preferred":false,"id":579674,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Williams, Michael S.","contributorId":149816,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":579675,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70047227,"text":"70047227 - 2011 - Pathogens and diseases of freshwater mussels in the United States: Studies on bacterial transmission and depuration","interactions":[],"lastModifiedDate":"2016-04-06T16:02:35","indexId":"70047227","displayToPublicDate":"2013-01-01T16:11:44","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Pathogens and diseases of freshwater mussels in the United States: Studies on bacterial transmission and depuration","docAbstract":"Unionid mussels are recognized as important contributors to healthy aquatic ecosystems, as well as bioindicators of environmental perturbations. Because they are sedentary, filter feeding animals and require hosts (i.e., fishes) to transform embryonic glochidia, mussels are susceptible to direct adverse environmental parameters, and indirect parameters that restrict the timely presence of the host(s). Their numbers have declined in recent decades to a point that this fauna is regarded as one of the most imperiled in North America. The most significant threat to populations of native unionids in recent years has been the introduction and spread of zebra mussels Dreissena polymorpha. Many federal and state agencies, and private interests are now engaged in mussel conservation efforts, including collecting selected imperiled species from impacted rivers and lakes and propagating them at refuges for future population augmentations. One essential consideration with mussel propagation and their intensive culture at refugia is the prevention of pathogen introductions and control of diseases. Currently, there are few reports of etiological agents causing diseases among freshwater mussels; however, because of increased observations of mussel die-offs in conjunction with transfers of live animals between natural waters and refugia, disease problems can be anticipated to emerge. This review summarizes research to develop bacterial isolation techniques, study pathogen transmission between fish and mussels, identify causes of seasonal mussel die-offs, and develop non-destructive methods for pathogen detection. These efforts were done to develop disease preventative techniques for use by resource managers to avoid potential large-scale disease problems in restoration and population augmentation efforts among imperiled populations.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bridging America and Russia with shared perspectives on aquatic animal health: Proceedings of the Third Bilateral Conference between Russia and the United States","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Third Bilateral Conference Between Russia and the United States, Aquatic Animal Health 2009","conferenceDate":"July 12-20, 2009","conferenceLocation":"Shepherdstown, WV","language":"English","publisher":"Khaled bin Sultan Living Oceans Foundation","publisherLocation":"Landover, MD","isbn":"978-0-9835611-0-1","usgsCitation":"Starliper, C.E., 2011, Pathogens and diseases of freshwater mussels in the United States: Studies on bacterial transmission and depuration, in Bridging America and Russia with shared perspectives on aquatic animal health: Proceedings of the Third Bilateral Conference between Russia and the United States, Shepherdstown, WV, July 12-20, 2009, p. 47-55.","productDescription":"9 p.","startPage":"47","endPage":"55","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":275416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275414,"type":{"id":11,"text":"Document"},"url":"https://www.lsc.usgs.gov/files/Starliper%202011.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.616667,13.233333 ], [ 144.616667,71.833333 ], [ -64.566667,71.833333 ], [ -64.566667,13.233333 ], [ 144.616667,13.233333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f25421e4b0279fe2e1c017","contributors":{"editors":[{"text":"Cipriano, R. C.","contributorId":12400,"corporation":false,"usgs":true,"family":"Cipriano","given":"R.","middleInitial":"C.","affiliations":[],"preferred":false,"id":626204,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bruckner, A.W.","contributorId":75044,"corporation":false,"usgs":true,"family":"Bruckner","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":626205,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Shchelkunov, I.S.","contributorId":21326,"corporation":false,"usgs":true,"family":"Shchelkunov","given":"I.S.","email":"","affiliations":[],"preferred":false,"id":626206,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Starliper, Clifford E. cstarliper@usgs.gov","contributorId":1948,"corporation":false,"usgs":true,"family":"Starliper","given":"Clifford","email":"cstarliper@usgs.gov","middleInitial":"E.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":481460,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047223,"text":"70047223 - 2011 - An overview of estrogen-associated endocrine disruption in fishes: Evidence of effects on reproductive and immune physiology","interactions":[],"lastModifiedDate":"2018-10-03T11:04:04","indexId":"70047223","displayToPublicDate":"2013-01-01T15:06:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An overview of estrogen-associated endocrine disruption in fishes: Evidence of effects on reproductive and immune physiology","docAbstract":"Simply and perhaps intuitively defined, endocrine disruption is the abnormal modulation of normal hormonal physiology by exogenous chemicals. In fish, endocrine disruption of the reproductive system has been observed worldwide in numerous species and is known to affect both males and females. Observations of biologically relevant endocrine disruption most commonly occurs near waste water treatment plant outfalls, pulp and paper mills, and areas of high organic loading sometimes associated with agricultural practices. Estrogenic endocrine disrupting chemicals (EEDCs) have received an overwhelmingly disproportionate amount of scientific attention compared to other EDCs in recent years. In male fishes, exposure to EEDCs can lead to the induction of testicular oocytes (intersex), measurable plasma vitellogenin protein, altered sex steroid profiles, abnormal spawning behavior, skewed population sex ratios, and lessened reproductive success. Interestingly, contemporary research purports that EDCs modulate aspects of non-reproductive physiology including immune function. Here we present an overview of endocrine disruption in fishes associated with estrogenic compounds, implications of this phenomenon, and examples of EDC related research findings by our group in the Potomac River Watershed, USA.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bridging America and Russia with shared perspectives on aquatic animal health: Proceedings of the Third Bilateral Conference between Russia and the United States","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"3rd Bilateral Conference Between the United States and Russia","conferenceDate":"July 12-20, 2009","conferenceLocation":"Shepherdstown, WV","language":"English","publisher":"Khaled bin Sultan Living Oceans Foundation","publisherLocation":"Landover, MD","usgsCitation":"Iwanowicz, L.R., and Blazer, V., 2011, An overview of estrogen-associated endocrine disruption in fishes: Evidence of effects on reproductive and immune physiology, in Bridging America and Russia with shared perspectives on aquatic animal health: Proceedings of the Third Bilateral Conference between Russia and the United States, Shepherdstown, WV, July 12-20, 2009, p. 266-275.","productDescription":"10 p.","startPage":"266","endPage":"275","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":275405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f2541fe4b0279fe2e1bfe7","contributors":{"authors":[{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":481454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":481455,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047006,"text":"sim3183 - 2011 - Potentiometric surface of the upper Floridan aquifer, west-central Florida, May 2011","interactions":[],"lastModifiedDate":"2015-01-15T17:48:53","indexId":"sim3183","displayToPublicDate":"2013-01-01T12:52:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3183","title":"Potentiometric surface of the upper Floridan aquifer, west-central Florida, May 2011","docAbstract":"The Floridan aquifer system consists of the Upper and Lower Floridan aquifers separated by the middle confining unit. The middle confining unit and the Lower Floridan aquifer in west-central Florida generally contain highly mineralized water. The water-bearing units containing freshwater are herein referred to as the Upper Floridan aquifer. The Upper Floridan aquifer is the principal source of water in the Southwest Florida Water Management District and is used for major public supply, domestic use, irrigation, and brackish water desalination in coastal communities (Southwest Florida Water Management District, 2000). This map report shows the potentiometric surface of the Upper Floridan aquifer measured in May 2011. The potentiometric surface is an imaginary surface connecting points of equal altitude to which water will rise in tightly-cased wells that tap a confined aquifer system (Lohman, 1979). This map represents water-level conditions near the end of the dry season, when groundwater levels usually are at an annual low and withdrawals for agricultural use typically are high. The cumulative average rainfall of 45.74 inches for west-central Florida (from June 2010 through May 2011) was 6.85 inches below the historical cumulative average of 52.59 inches (Southwest Florida Water Management District, 2011). Historical cumulative averages are calculated from regional rainfall summary reports (1915 to most recent complete calendar year) and are updated monthly by the Southwest Florida Water Management District. This report, prepared by the U.S. Geological Survey in cooperation with the Southwest Florida Water Management District, is part of a semi-annual series of Upper Floridan aquifer potentiometric-surface map reports for west-central Florida. Potentiometric-surface maps have been prepared for January 1964, May 1969, May 1971, May 1973, May 1974, and for each May and September from 1975 through 2010. Water-level data are collected in May and September each year to show the approximate annual low and high water-level conditions, respectively. Most of the water-level data for this map were collected by the U.S. Geological Survey during the period May 23-27, 2011. Supplemental water-level data were collected by other agencies and companies. Most water-level measurements were made during a 5-day period; therefore, measurements do not represent a \"snapshot\" of conditions at a specific time, nor do they necessarily coincide with the seasonal low water-level condition.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3183","collaboration":"Prepared in cooperation with the Southwest Florida Water Management District","usgsCitation":"Ortiz, A.G., 2011, Potentiometric surface of the upper Floridan aquifer, west-central Florida, May 2011: U.S. Geological Survey Scientific Investigations Map 3183, Map: 1 Sheet: 34 x 34 inches, https://doi.org/10.3133/sim3183.","productDescription":"Map: 1 Sheet: 34 x 34 inches","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2011-05-01","temporalEnd":"2011-05-31","ipdsId":"IP-031684","costCenters":[],"links":[{"id":275299,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3183.jpg"},{"id":275297,"rank":1,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3183/pdf/sim3183.pdf","text":"Map","size":"3.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3183 Map"},{"id":275296,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3183/"}],"scale":"500000","country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.5,26.0 ], [ -84.5,30.0 ], [ -87.9,30.0 ], [ -87.9,26.0 ], [ -84.5,26.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51efa5f4e4b0b09fbe58f1bf","contributors":{"authors":[{"text":"Ortiz, Anita G. agourlay@usgs.gov","contributorId":1855,"corporation":false,"usgs":true,"family":"Ortiz","given":"Anita","email":"agourlay@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":480847,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}