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Using in situ sensors to monitor ecosystem health in freshwater catchments.

使用原位传感器监测淡水流域的生态系统健康状况。

基本信息

批准号：
2436648
负责人：
金额：
--
依托单位：
CARDIFF UNIVERSITY
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2020
资助国家：
英国
起止时间：
2020 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2436648
关键词：
Using situ sensors monitor ecosystem

项目摘要

Freshwater eutrophication costs water companies approximately £54-96m annually in England and Wales. £1.5k per day per water treatment works. An excess of nutrients fertilises algal blooms that have negative impacts on ecosystem health, water quality, and eventually taste and odour. Treating the water after blooms have occurred is expensive, typically occurs after the problem has occurred, and risks longer term damage to the ecosystem. If treatment can be responsive, rather than predictive, then treatment costs may be reduced and ecosystem health improved. Predictive treatment, however, requires real-time monitoring of nutrient status of water bodies. Nutrients are typically assessed by water sampling and return to the laboratory for analysis, which even in the best case scenario may take several days. Technologies are now available for in situ monitoring of some nutrient species, notably nitrate and DOM, but their suitability for UK freshwater systems rather the ocean waters for which they were designed is poorly known. This project will assess several in situ sensing methods, to aid our project partners in developing the best predictive tools to control risks of eutrophication , taste and odour problems associated with geosmin production, and reducing associated water treatment costs and improving supply catchment ecosystem health.

在英格兰和威尔士，淡水富营养化每年给自来水公司造成的损失约为5400万至9600万GB。GB每个水处理厂每天1.5千克。过量的营养物质使藻类大量繁殖，从而对生态系统健康、水质以及最终的味道和气味产生负面影响。在水华发生后处理水是昂贵的，通常在问题发生后发生，并有可能对生态系统造成更长期的破坏。如果治疗可以是响应性的，而不是预测性的，那么治疗成本可能会降低，生态系统健康可能会得到改善。然而，预测性治疗需要实时监测水体的营养状况。营养素通常通过水样进行评估，然后返回实验室进行分析，即使在最好的情况下，这也可能需要几天的时间。现在有一些技术可用于对一些营养物种进行现场监测，特别是硝酸盐和DOM，但它们是否适合英国淡水系统，而不是为其设计的海水，人们知之甚少。该项目将评估几种现场传感方法，以帮助我们的项目合作伙伴开发最佳预测工具，以控制与Geosmin生产相关的富营养化、味道和气味问题的风险，并降低相关的水处理成本，改善供水集水区生态系统的健康。