Spatial-Temporal Dynamics of Effluent Discharge in Aquatic Habitats

水生栖息地污水排放的时空动态

• 批准号: 2749551
• 金额: --
• 依托单位: Newcastle University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2749551
• 关键词: Spatial; Temporal; Dynamics; Effluent; Discharge

My PhD focuses on the spatial and temporal dynamics of effluent discharge in aquatic habitats. The initial emphasis of the study is the release of treated municipal waste from Howden Sewage Treatment Works into the lower River Tyne, which is characterised by dynamic tidal patterns and high-flow conditions. Using diverse datasets encompassing river flow, tidal height, water quality, and effluent discharge, my PhD will examine effluent discharge across daily to seasonal timescales and during periods of low and high rainfall. This will identify when the effluent will be most prevalent in the River Tyne. To assess the fate of the discharged effluent, my research will compare modelled predictions of spatial distribution with weekly observations measured in the vicinity of the discharge point. By integrating hydrological measurements with water quality and effluent discharge data, this study aims to enhance our understanding of effluent dynamics, providing valuable insights for future monitoring and predictive capabilities. The results will also inform the potential for indirect emissions resulting from effluent degradation. Although the wastewater industry is not currently obligated to report such emissions, this is anticipated to change in the near future and the outputs of this study will help inform mitigation measures. Following the initial phase of work, this study will extend its findings to selected tributaries of the River Tyne that host smaller waste water treatment plants. This will identify how the spatial-temporal dynamics differ between small and large-scale rates of effluent discharge.

我的博士专注于水生栖息地中废水排放的空间和时间动力学。该研究的最初重点是从豪顿污水处理处理中释放经过处理的市政废物的作用是泰恩河下游，其特征是动态潮汐模式和高流量条件。我的博士使用包括河流流量，潮汐高度，水质和废水排放的各种数据集，我的博士将检查每天到季节性时尺度以及低降雨时期的流出排放。这将确定泰恩河何时最普遍的废水。为了评估排放废水的命运，我的研究将比较对空间分布的建模预测与排放点附近测得的每周观察结果。通过将水文测量与水质和废水排放数据相结合，本研究旨在增强我们对废水动态的理解，为未来的监测和预测能力提供宝贵的见解。结果还将为由于降解而导致间接排放的潜力。尽管废水行业目前没有义务报告这种排放，但预计在不久的将来会发生变化，这项研究的产出将有助于为缓解措施提供信息。在工作的初始阶段之后，这项研究将将其发现扩展到泰恩河的选定支流，该河流拥有较小的废水处理厂。这将确定在流出排放率和大规模排放速率之间的时空动力学如何不同。