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.