汞突出的地质医学方面的最新审查,以提高模拟建模和其他预测应用中的数据质量:非洲案例描述

T. C. Davies
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引用次数: 1

摘要

汞污染是全球关注的问题。尽管在过去二十年左右的时间里进行了大量的研究,但我们对该元素的暴露动态及其对健康的影响的了解仍然存在一些不确定性和可变性。例如,要理解碳元素从排放到影响的错综复杂的路径,就很难理解其不同的环境命运,以及环境、地球化学、生物和社会经济驱动因素的总体影响。在本文中,对汞的相关和更重要的几何特征的更新摘要被认为是提供汞模拟建模研究所需的高质量输入数据的一部分,以及其他应用,如提供评估各种尺度监管措施有效性所需的长期数据。关键概述了参数化数据质量的重要性,以及Hg模拟模型和其他相关应用的验证。在这方面,强调缺乏对地壳岩石和其他地球物质中汞丰度的现代测量,这些测量需要在模拟之前设置,以及在模拟汞循环中的源到汇转移时设置。输入数据质量的提高还将促进模型结果的产生,这些模型结果足够准确,可用于设计更好的限制暴露策略;并提供如何修改或扩展目前由医生提供的针对hg引起的疾病的诊断和治疗过程的见解。来自高质量输入数据集的模型结果也具有很大的潜力,可以提供预测能力,为政策提供信息。
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An updated review of the salient geomedical aspects of mercury for enhancement of data quality in simulation modelling and other prognostic applications: Africa case descriptions
Mercury (Hg) pollution is of global concern. Despite the prolificity of research in the past two decades or so, there are still several uncertainties and variabilities in our knowledge of both the element’s exposure dynamics and its health effects. Understanding the intricacies of the element’s emissions-to-impact path, for instance, is rendered intractable by its varied environmental fate and the overarching influence of environmental, geochemical, biological and socioeconomic drivers. In this paper, an updated synopsis of the relevant and more important geomedical characteristics of Hg is considered to constitute part of the provision of high-quality input data needed in Hg simulation modelling studies, and other applications such as the provision of long-term data necessary for evaluating the effectiveness of regulatory measures at various scales. A critical overview is presented on the importance of data quality in parameterisation, and validation of Hg simulation models and other related applications. In this connection, the dearth of modern measurements of Hg abundance in crustal rocks and other Earth materials which needs to be set prior to simulation as well as in modelling source to sink transfers in the Hg cycle, is highlighted. An improved input data quality would also foster the production of model outcomes that are accurate enough for applications in design of better exposure-limiting strategies; and in providing insights on how the course of diagnosis and treatment currently proffered by physicians for Hg-induced maladies, can be revised or expanded. Model results derived from high-quality input datasets also have a high potential for providing forecasting capabilities to inform policy.
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