Uddin Md Galal, Jackson Aoife, Nash Stephen, Rahman Azizur, Olbert Agnieszka I
School of Engineering, University of Galway, Ireland; Ryan Institute, University of Galway, Ireland; MaREI Research Centre, University of Galway, Ireland; Eco HydroInformatics Research Group (EHIRG), School of Engineering, College of Science and Engineering, University of Galway, Ireland.
College of Science and Engineering, Natural Sciences, University of Galway, Ireland.
Sci Total Environ. 2023 Nov 25;901:165960. doi: 10.1016/j.scitotenv.2023.165960. Epub 2023 Aug 2.
This study aims to evaluate existing approaches for monitoring and assessing water quality in waterbodies in the North of Ireland using newly developed methodologies. The results reveal significant differences between the new technique and the existing "one-out, all-out" approach in rating water quality. The new approach found the water quality status to be "good," "fair," and "marginal," whereas the existing "one-out, all-out" technique classified water quality as "good," and "moderate," respectively. The new technique outperformed existing approaches in rating the water quality of different waterbody types, with high R = 1, NSE = 0.99, and MEF = 0 values. Furthermore, the final assessment of water quality using the new methodologies had the lowest uncertainty (<1 %), whereas the efficiency measures (NSE and MEF) indicate that the new approaches are bias-free to assess water quality at any geographic scale. The results of this study reveal that the newly proposed methodologies are effective in assessing the water quality states of transitional and coastal waterbodies in the North of Ireland. The study also highlighted the limitations of existing approaches and the importance of updating water resource management systems for better protection of these waterbodies. The findings have significant implications for water resource management and planning in the North of Ireland and other similar regions.
本研究旨在利用新开发的方法评估北爱尔兰水体水质监测与评估的现有方法。结果显示，在水质评级方面，新技术与现有的“一票否决”方法存在显著差异。新方法得出水质状况为“良好”“中等”和“边缘”，而现有的“一票否决”技术分别将水质分类为“良好”和“中等”。在对不同水体类型的水质评级中，新技术优于现有方法，相关系数R = 1、纳什效率系数NSE = 0.99、平均效率因子MEF = 0。此外，使用新方法进行的水质最终评估不确定性最低（<1%），而效率指标（NSE和MEF）表明新方法在任何地理尺度上评估水质时均无偏差。本研究结果表明，新提出的方法在评估北爱尔兰过渡性和沿海水体的水质状况方面是有效的。该研究还强调了现有方法的局限性以及更新水资源管理系统对更好地保护这些水体的重要性。这些发现对北爱尔兰及其他类似地区的水资源管理和规划具有重要意义。
