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Title: Vanadium sorption by mineral soils: Development of a predictive model

Authors:
; ; ORCiD logo
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1396483
Grant/Contract Number:
AC02-76SF00515
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Chemosphere
Additional Journal Information:
Journal Volume: 168; Journal Issue: C; Related Information: CHORUS Timestamp: 2017-10-04 09:08:38; Journal ID: ISSN 0045-6535
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Larsson, Maja A., Hadialhejazi, Golshid, and Gustafsson, Jon Petter. Vanadium sorption by mineral soils: Development of a predictive model. United Kingdom: N. p., 2017. Web. doi:10.1016/j.chemosphere.2016.10.117.
Larsson, Maja A., Hadialhejazi, Golshid, & Gustafsson, Jon Petter. Vanadium sorption by mineral soils: Development of a predictive model. United Kingdom. doi:10.1016/j.chemosphere.2016.10.117.
Larsson, Maja A., Hadialhejazi, Golshid, and Gustafsson, Jon Petter. Wed . "Vanadium sorption by mineral soils: Development of a predictive model". United Kingdom. doi:10.1016/j.chemosphere.2016.10.117.
@article{osti_1396483,
title = {Vanadium sorption by mineral soils: Development of a predictive model},
author = {Larsson, Maja A. and Hadialhejazi, Golshid and Gustafsson, Jon Petter},
abstractNote = {},
doi = {10.1016/j.chemosphere.2016.10.117},
journal = {Chemosphere},
number = C,
volume = 168,
place = {United Kingdom},
year = {Wed Feb 01 00:00:00 EST 2017},
month = {Wed Feb 01 00:00:00 EST 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1016/j.chemosphere.2016.10.117

Citation Metrics:
Cited by: 1work
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  • Vapor sorption isotherms of ethylene glycol monoethyl ether (EGME) at room temperature and isotherms of N[sub 2] gas at liquid nitrogen temperature were determined for various soils and minerals. The N[sub 2] monolayer capacities [Q[sub m](N[sub 2])] were calculated from the BET equation and used to determine the surface areas. To examine whether EGME is an appropriate adsorbate for determination of surface areas, the apparent EGME monolayer capacities [Q[sub m](EGME)[sub ap]] were also obtained by use of the BET equation. For sand, aluminum oxide, kaolinite, hematite, and synthetic hydrous iron oxide, which are relatively free of organic impurity and expanding/solvatingmore » minerals, the Q[sub m] (EGME)[sub ap] values are in good conformity with the corresponding Q[sub m] (N[sub 2]) values and would give surface areas consistent with BET (N[sub 2]) values. For other samples (Woodburn soil, a natural hydrous iron oxide, illite, and montmorillonite), the Q[sub m] (EGME)[sub ap] values overestimate the Q[sub m] (N[sub 2]) values from a moderate to a large extent, depending on the sample. A high-organic-content peat shows a very small BET (N[sub 2]) surface area; the EGME/peat isotherm is linear and does not yield a calculation of the surface area. Large discrepancies between results of the two methods for some samples are attributed to the high solubility of polar EGME in soil organic matter and/or to the cation solvation of EGME with solvating clays. The agreement for other samples is illustrative of the consistency of the BET method when different adsorbates are used, so long as they do not exhibit bulk penetration and/or cation solvation. 26 refs., 7 figs., 2 tabs.« less
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  • A series of solid- and slurry-phase soil bioremediation experiments involving different crude oils and refined petroleum products were performed in order to investigate the factors which affect the maximum extent of total petroleum hydrocarbon (TPH) biodegradation. Utilizing a comprehensive petroleum hydrocarbon characterization procedure involving group type separation analyses, boiling point distributions, and hydrocarbon typing by field desorption mass spectroscopy, initial and final concentrations of specified hydrocarbon classes were determined in each of the seven bioremediation treatments. In this study, it was found that the degree of TPH biodegradation was mainly affected by the type of hydrocarbons in the contaminant matrixmore » while the influence of experimental variables such as soil type, fertilizer concentrations, microbial counts, and treatment type (slurry vs land-treatment) on the overall extent of TPH biodegradation appeared to be insignificant. Based on these findings, a predictive algorithm was developed to estimate the extent of TPH biodegradation from the average reduction of 86 individual hydrocarbon classes and their respective initial concentrations. Model predictions for gravimetric TPH removals were in close agreement with analytical results from two independent laboratories. 40 refs., 8 figs., 3 tabs.« less
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