Taking a high frequency pulse of rivers: the new wave of water-quality and pollution checks to support integrated real-time river basin management.

掌握河流的高频脉搏：新一轮水质和污染检查，支持流域综合实时管理。

• 批准号: 2741923
• 金额: --
• 依托单位: University of Birmingham
• 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-2741923
• 关键词: Taking; frequency; pulse; rivers; new

Urban water pollution and quality concerns within densely populated river catchments are amongst the most pressing environmental and public health challenges faced by societies on the planet, impacting ecosystem functioning and water and food security. Recent advances in field-based environmental analytical monitoring capacity have yielded first insights into the highly dynamic behaviour of water pollution problems in urban and peri-urban places. These include the identification of hotspots, as areas of increased pollution levels and hot moments, as periods of intensive pollution, that over-proportionally affect catchment water quality. However, the relative importance of these pollution hotspots and hot moments as well as the conditions that cause this behaviour have yet to be determined.We are currently experiencing a technological revolution in environmental monitoring, changing paradigms in water quality and pollution sensing to new frontiers that open unprecedented opportunities for taking the pulse of water quality extremes in complex landscapes. Instead of taking water samples in the field and transporting them back into the laboratory for subsequent analysis, the recent sensor revolution enables the monitoring of water quality in-situ, that is, in real-time and directly where it occurs. These technological advances enable to more adequately capture the event characteristics of dynamic flow and pollution events, including water quality extremes. Recent interdisciplinary research has also triggered the development of useful metrics for the identification of pollution source zone activation in river basins.This project will work at the forefront of these developments to directly improve the way we detect, monitor, and prevent pollution of urban rivers. This PhD project will pioneer the combined and integrated development of novel types of water quality sensor networks and numerical models of in order improve the mechanistic understanding of the evolution of source area activation along urban-rural gradients. It will therefore push current paradigms in in-situ water quality monitoring technologies (such as absorbance and fluorescence probes, as well as river basin scale water quality monitoring in order to identify event-based dynamics of pollution sources (Figure 1 right). The findings of this study will directly support the development of more evidence-based prediction and management of river basin management.

人口稠密的河流集水区中的城市水污染和质量问题是地球上社会面临的最紧迫的环境和公共卫生挑战之一，影响了生态系统功能以及水和粮食安全。基于现场的环境分析监测能力的最新进展已经对城市和城市周边地区水污染问题的高度动态行为产生了最初的见解。这些包括识别热点，作为污染水平和热点增加的区域，作为密集污染的时期，对流域水质产生过多的影响。但是，这些污染热点和炎热的时刻以及导致这种行为的条件的相对重要性尚未确定。我们目前正在经历环境监测方面的技术革命，对水质和污染感传感的范式改变了对开放前所未有的机会，以使其在复杂的景观中极端的水质极端脉搏。最近的传感器革命没有将水样在野外取水并将其运回实验室进行后续分析，而是可以在实时和直接发生的地方对水质进行监测。这些技术进步可以更充分地捕获动态流和污染事件的事件特征，包括极端水质。最近的跨学科研究还触发了有用指标的发展，以识别河流河流中污染源区激活。该项目将在这些发展的最前沿工作，以直接改善我们检测，监测和防止城市河流污染的方式。该博士学位项目将开创新型水质传感器网络类型的合并和综合发展，以及数值模型，以提高对沿着城乡农村梯度激活源地区激活的演变的机械理解。因此，它将在原位水质监测技术（例如吸光度和荧光探针，以及河流盆地尺度水质监测中，以确定基于事件的污染源动态（图1右）。该研究的发现将直接支持更多基于证据的预测和河流管理层的管理。