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.

我的博士学位主要研究水生栖息地废水排放的空间和时间动态。该研究的最初重点是将豪顿污水处理厂处理后的城市废物排放到泰恩河下游，该河的特点是动态潮汐模式和高流量条件。我的博士学位将使用包括河流流量、潮汐高度、水质和污水排放在内的多种数据集，研究日常到季节时间尺度以及低降雨和高降雨期间的污水排放。这将确定泰恩河中污水何时最普遍。为了评估排放污水的去向，我的研究将比较空间分布的模型预测与排放点附近每周测量的观测结果。通过将水文测量与水质和污水排放数据相结合，本研究旨在增强我们对污水动态的了解，为未来的监测和预测能力提供有价值的见解。结果还将揭示废水降解造成的间接排放的可能性。尽管废水行业目前没有义务报告此类排放，但预计这种情况在不久的将来会发生变化，并且这项研究的成果将有助于为缓解措施提供信息。在第一阶段的工作之后，这项研究将把其研究结果扩展到泰恩河的选定支流上，这些支流拥有较小的废水处理厂。这将确定小规模和大规模污水排放率之间的时空动态有何不同。