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The AQUA-MER databases and aqueous speciation server: A web resource for multiscale modeling of mercury speciation.

Authors :
Lian P
Guo L
Devarajan D
Parks JM
Painter SL
Brooks SC
Smith JC
Source :
Journal of computational chemistry [J Comput Chem] 2020 Jan 15; Vol. 41 (2), pp. 147-155. Date of Electronic Publication: 2019 Oct 11.
Publication Year :
2020

Abstract

To assess the chemical reactivity, toxicity, and mobility of pollutants in the environment, knowledge of their species distributions is critical. Because their direct measurement is often infeasible, speciation modeling is widely adopted. Mercury (Hg) is a representative pollutant for which study of its speciation benefits from modeling. However, Hg speciation modeling is often hindered by a lack of reliable thermodynamic constants. Although computational chemistry (e.g., density functional theory [DFT]) can generate these constants, methods for directly coupling DFT and speciation modeling are not available. Here, we combine computational chemistry and continuum-scale modeling with curated online databases to ameliorate the problem of unreliable inputs to Hg speciation modeling. Our AQUA-MER databases and web server (https://aquamer.ornl.gov) provides direct speciation results by combining web-based interfaces to a speciation calculator, databases of thermodynamic constants, and a computational chemistry toolkit to estimate missing constants. Although Hg is presented as a concrete use case, AQUA-MER can also be readily applied to other elements. © 2019 Wiley Periodicals, Inc.<br /> (© 2019 Wiley Periodicals, Inc.)

Details

Language :
English
ISSN :
1096-987X
Volume :
41
Issue :
2
Database :
MEDLINE
Journal :
Journal of computational chemistry
Publication Type :
Academic Journal
Accession number :
31603259
Full Text :
https://doi.org/10.1002/jcc.26081