AQUA-MER

AQUA-MER models mercury (Hg) speciation by integrating curated thermodynamic constants, density functional theory (DFT), and continuum-scale modeling to predict Hg reactivity, toxicity, and mobility in environmental systems.


Key Features:

  • Comprehensive Databases: Curated databases of thermodynamic constants for mercury speciation modeling support prediction of chemical behavior under varied environmental conditions.
  • Density Functional Theory (DFT) Integration: DFT calculations generate thermodynamic constants when experimental data are unavailable or unreliable.
  • Continuum-Scale Modeling: Continuum-scale modeling is combined with computational chemistry to represent mercury behavior in complex environmental systems.
  • Adaptability to Other Elements: Framework and databases are structured to be applicable to speciation modeling of elements beyond mercury.

Scientific Applications:

  • Environmental Risk Assessment: Speciation outputs inform predictions of mercury bioavailability and exposure risks to ecosystems and human health.
  • Pollutant Mobility Studies: Speciation modeling clarifies mercury binding and transport in soil, water, and air matrices.
  • Toxicity Analysis: Identification of mercury species informs assessments of chemical forms with differing toxicities for remediation planning.

Methodology:

Uses density functional theory (DFT) to compute thermodynamic constants when needed, couples computational chemistry results with curated thermodynamic databases, and integrates these inputs into continuum-scale modeling for speciation analysis.

Topics

Details

Tool Type:
web application
Added:
1/9/2020
Last Updated:
1/14/2021

Operations

Publications

Lian P, Guo L, Devarajan D, Parks JM, Painter SL, Brooks SC, Smith JC. The <i>AQUA‐MER</i> databases and aqueous speciation server: A web resource for multiscale modeling of mercury speciation. Journal of Computational Chemistry. 2019;41(2):147-155. doi:10.1002/jcc.26081. PMID:31603259.

PMID: 31603259
Funding: - U.S. Department of Energy: AC05‐00OR22725 - Oak Ridge National Laboratory: SC0016478