The Minamata Convention on Mercury was established to reduce the pressure on the environment caused by mercury by significantly reducing its emissions from anthropogenic activities. However, knowledge gaps still exist concerning emission inventories, emission factors and their integration in modelling frameworks. In addition, tools to facilitate communication between decision-makers and research groups providing measurement and modelling data are still scarce. This work presents the GOS⁴M Knowledge Hub, a public web application that provides an interactive and user friendly experience to access state-of-the-art modelling tools and data available in the literature. The Knowledge Hub currently integrates a Chemical Transport Model emulator, HERMES, coupled with a biogeochemical model, although it has been designed to house and deploy any number of different modelling components. Using the integrated dashboard, non-experts can perturb mercury releases from different anthropogenic emission sectors, simulating, for example, the application of Best Available Technologies, and then visualise in real-time the short- and long-term effects of the consequent reductions within a source-receptor framework. The dashboard also furnishes an estimate of the statistical significance of the changes in the model results. The analysis of a set of anthropogenic Hg emission reduction scenarios shows how an internationally coordinated effort would be necessary to achieve significant policy goals. It is important to note that the GOS⁴M Knowledge Hub yields the analysis presented here in a matter of seconds, compared to the days or weeks required by traditional modelling tools.

《水俣公约》旨在通过大幅减少人为活动造成的汞排放来减轻汞对环境造成的压力。然而，在排放清单、排放因子及其在建模框架中的整合方面仍然存在知识差距。此外，促进决策者和提供测量和建模数据的研究小组之间交流的工具仍然很少。这项工作介绍了 GOS ⁴M Knowledge Hub，一个公共网络应用程序，提供交互式和用户友好的体验，以访问最先进的建模工具和文献中可用的数据。知识中心目前集成了一个化学传输模型模拟器 HERMES，以及一个生物地球化学模型，尽管它的设计目的是容纳和部署任意数量的不同建模组件。使用集成仪表板，非专家可以干扰来自不同人为排放部门的汞排放，例如模拟最佳可用技术的应用，然后实时可视化由此产生的短期和长期影响。一个源受体框架。仪表板还提供对模型结果变化的统计显着性的估计。对一组人为汞减排情景的分析表明，国际协调努力对于实现重要的政策目标是多么必要。需要注意的是，GOS与传统建模工具所需的数天或数周相比，⁴ M 知识中心可在几秒钟内生成此处介绍的分析。