Xing Mengya, Qu Simin, Xu Hui, Shi Peng, Chen Xing, Ji Feifei, Liu Minton
College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China.
Sci Rep. 2023 Dec 28;13(1):23096. doi: 10.1038/s41598-023-39611-7.
Water Diversion Projects have become increasingly popular in improving water quality in various water ecosystems. However, these projects also require a more comprehensive evaluation. In this study, we introduced a digital stable marker tracing module and proposed a continuation-dynamic constitution analysis approach. We applied this approach to analyze the ecological tidal water diversion in Changshu town, China. The results showed that the mean diversion water age of the Yangtze River water source was 10.80 h, the residence time of the background water source in Baimaotang was approximately 4.0 h, and the contribution of inflow water sources from tributaries accounted for 15% of discharges. The results can demonstrate practicality of our approach in quantitatively evaluating water diversion impacts and optimizing cooperative diversion projects. Furthermore, our discussion led to the design of an ecological tidal water diversion based on optimized cooperative diversion, which showed element-complementary and whole-comprehensive effects. This indicates that the ecological tidal water diversion can extend the impact of cooperative diversion. The continuation-dynamic constitution analysis approach enhances the tracing capacity of inflow constitution and enables the distinction of different time-varying distributions of each inflow constitution. Therefore, this approach holds promise as an embedded "Digital stable marker tracing" module in the model.
引水工程在改善各类水生态系统水质方面越来越受欢迎。然而,这些工程也需要更全面的评估。在本研究中,我们引入了一个数字稳定标记物追踪模块,并提出了一种连续动态构成分析方法。我们应用该方法分析了中国常熟镇的生态潮汐引水情况。结果表明,长江水源的平均引水龄为10.80小时,白马塘背景水源的停留时间约为4.0小时,支流来水水源的贡献率占排放量的15%。研究结果能够证明我们的方法在定量评估引水影响和优化协同引水工程方面的实用性。此外,我们的讨论促成了基于优化协同引水的生态潮汐引水设计,该设计显示出要素互补和整体综合效应。这表明生态潮汐引水可以扩大协同引水的影响范围。连续动态构成分析方法增强了对来水构成的追踪能力,并能够区分每种来水构成的不同时变分布。因此,该方法有望作为模型中一个嵌入式的“数字稳定标记物追踪”模块。