首页> 外文期刊>Journal of Computational Chemistry: Organic, Inorganic, Physical, Biological >The AQUA-MER databases and aqueous speciation server: A web resource for multiscale modeling of mercury speciation
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The AQUA-MER databases and aqueous speciation server: A web resource for multiscale modeling of mercury speciation

机译:AQUA-MER数据库和水性样本服务器:用于MULLURY MENTIVITION的多尺度建模的Web资源

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摘要

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 () 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. (c) 2019 Wiley Periodicals, Inc.
机译:为了评估环境中污染物的化学反应性,毒性和流动性,他们物种分布的知识至关重要。由于它们的直接测量通常是不可行的,因此人们广泛采用了品种建模。汞(Hg)是一种代表性污染物,其研究其物质效益的建模。然而,HG形状建模通常受到可靠的热力学常数的阻碍。虽然计算化学(例如,密度函数理论[DFT])可以产生这些常数,但不能直接耦合DFT和物种建模的方法。在这里,我们将计算化学和连续尺度建模与策划的在线数据库相结合,以改善对HG形态建模的不可靠输入问题。我们的AQUA-MER数据库和Web服务器()通过将基于Web的接口组合给样品计算器,热力学常量数据库和计算化学工具包来提供直接的规范结果,以估计缺失常量。虽然HG被呈现为混凝土用例,但也可以容易地应用于其他元素。 (c)2019 Wiley期刊,Inc。

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