Organizations collect an ever-increasing amount of data concerning environmental parameters. Non-experts may be confronted with an information overload, making the data meaningless. A way to circumvent this problem is visualizing the trends in the pollution concentrations measured over time. However, non-experts do not have a mental model to derive air quality information from displayed concentration profiles. Therefore, a large fraction of the stakeholders remains unable to read/interpret such data effectively. To improve communication with stakeholders, we superposed health risk information from 9 different Air Quality Indices (AQIs) on different kinds of graphs. The visualization methods are applied on data collected by the Belgian Environment Agency from two monitoring stations located in contrasting regions, Ghent and Vielsalm. Supplementary, spatially distributed pollution is shown using data collected from Sentinel-5p satellite. Despite some limitations of the AQIs, the applied visualizations methods successfully translate the data obtained into actionable information.

组织收集越来越多的有关环境参数的数据。非专家可能会面临信息过载，使数据变得毫无意义。规避此问题的一种方法是可视化随时间测量的污染浓度的趋势。然而，非专家没有从显示的浓度分布中导出空气质量信息的心智模型。因此，很大一部分利益相关者仍然无法有效地阅读/解释这些数据。为了改善与利益相关者的沟通，我们将来自 9 个不同空气质量指数 (AQI) 的健康风险信息叠加在不同类型的图表上。可视化方法应用于比利时环境局从位于对比地区根特和维尔萨尔姆的两个监测站收集的数据。补充，使用从 Sentinel-5p 卫星收集的数据显示了空间分布的污染。尽管 AQI 有一些限制，但应用的可视化方法成功地将获得的数据转化为可操作的信息。