Federal University of Viçosa, Viçosa, Brazil.
Federal University of Viçosa, Viçosa, Brazil.
J Environ Manage. 2022 Sep 1;317:115402. doi: 10.1016/j.jenvman.2022.115402. Epub 2022 Jun 14.
The process of extracting information from data generated in environmental monitoring programs is often carried out using statistical tools, with Statistical Process Control (SPC) showing great potential for application in environmental monitoring. In November 2015, millions of cubic metres of tailings were dumped into the basin of the River Doce with the collapse of the Fundão dam. A study of the impact of this incident requires new approaches in data monitoring and processing, so it was sought to evaluate, using SPC tools, changes in water quality in the basin of the River Doce following the collapse of the dam. Using process charts and the process capability index (PCI), water quality parameters in the Doce and Carmo rivers were evaluated between 2009 and 2020. There, turbidity has improved since 2018, and Mn since 2016. Control charts showed that by December 2020 dissolved Fe was still not within normal pre-event fluctuation patterns. The PCI value showed that the situation worsened after the event for each of the parameters, with the lowest values for Mn and E. coli. By using a reference period, SPC makes it possible to infer the permanence of the impact of extreme pollution on the waterbody, which can be used in the routine monitoring of water quality in such events.
从环境监测计划产生的数据中提取信息的过程通常使用统计工具来完成，统计过程控制 (SPC) 在环境监测中具有很大的应用潜力。2015 年 11 月，丰达尾矿坝发生垮塌，数百万立方米的尾矿被倾倒入多西河的流域中。这项事件的影响研究需要在数据监测和处理方面采用新方法，因此，人们试图使用 SPC 工具评估多西河流域在大坝垮塌后的水质变化。通过使用过程图和过程能力指数 (PCI)，对多西和卡尔莫河的水质参数进行了 2009 年至 2020 年的评估。自 2018 年以来，多西河的浊度已经有所改善，而锰的情况自 2016 年以来也有所改善。控制图显示，到 2020 年 12 月，溶解态铁仍未恢复到事件发生前的正常波动模式。PCI 值表明，事件发生后，每个参数的情况都恶化了，锰和大肠杆菌的情况最糟。通过使用参考期，SPC 可以推断出水体受到极端污染影响的持续时间，这可以在这种事件的水质常规监测中使用。
