Delivering resilience to climate impacts on UK freshwater quality: towards national-scale cyanobacterial bloom monitoring and forecasting

增强气候对英国淡水质量影响的抵御能力:实现全国范围的蓝藻水华监测和预测

基本信息

  • 批准号:
    NE/S016716/1
  • 负责人:
  • 金额:
    $ 0.4万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2019
  • 资助国家:
    英国
  • 起止时间:
    2019 至 无数据
  • 项目状态:
    已结题

项目摘要

The summer drought and heatwave in 2018 highlighted the vulnerability of UK water resources to current and future climate change. This vulnerability was not only due to insufficient water quantity, but was exacerbated by water quality issues caused by harmful blooms of blue-green algae (also known as cyanobacteria) that flourished due to the high temperatures and low flushing, particularly in lakes and reservoirs. This had major impacts across the whole of the UK, including higher water treatment costs in many reservoirs, restrictions on drinking water supplies in some regions, closure of many recreational waters, fish kills and the deaths of several pet dogs. Monitoring of blue-green algae in the UK is currently very reactive and limited in scope to <1% of the UK's lakes and reservoirs. This limited monitoring hinders effective management and raises the risks posed to public and animal health. However, recent innovations in the use of data from satellites observing the Earth from space and the use of data collected by members of the UK public using the smartphone app Bloomin'Algae have the potential to change this dramatically by increasing both the number of waterbodies monitored and the frequency at which they are observed. These innovations in earth observation and citizen science have real potential to provide water companies, environmental regulators, local authorities and the public with the data and information they need to better manage the risks posed by toxic blooms of algae.In this proof-of-concept study we will demonstrate the power of new satellite data, including those from hundreds of small 'nanosatellites' recently launched into space, for monitoring algal blooms in waterbodies across the UK. We will augment this with shore-based citizen observations made by members of the public and relevant agency and industry staff. We will investigate the combined power of these two novel sources of data to identify the presence of bloom events that exceed current UK and World Health Organisation guidelines for drinking water supply and recreational activities. We will also review the potential of the data to improve our scientific understanding of the impact of short-term climate extremes on UK water quality. The two approaches provide complementarity in the spatial scales of sites that can be monitored and allow us to verify findings independently. In parallel, we will assemble a team of scientists with diverse expertise in the use of satellite data, citizen science, modelling and statistics to work in collaboration with water utility companies, the UK health and environment protection agencies, and local authority representatives. This working group will establish a blueprint for a nation-wide bloom monitoring and forecasting service that could feed into and augment a number of their existing systems for monitoring and reporting environmental incidents that have health, social or economic impact. This could include a system that provides direct notifications to members of the public and interested bodies, such as watersport centres, fisheries and vet practices. Such a climate service would greatly strengthen the resilience of the UK water industry, environment agencies, public health bodies and local authorities to future climate change.
2018年的夏季干旱和热浪突显了英国水资源对当前和未来气候变化的脆弱性。这一脆弱性不仅是由于水量不足,而且由于高温和低冲洗,特别是在湖泊和水库,有害的蓝藻(也称为蓝藻)大量繁殖所造成的水质问题加剧了这种脆弱性。这对整个英国产生了重大影响,包括许多水库的水处理成本上升,一些地区的饮用水供应受到限制,许多娱乐水域关闭,鱼类死亡,几只宠物狗死亡。英国对蓝藻的监测目前非常活跃,范围仅限于英国1%的湖泊和水库。这种有限的监测阻碍了有效的管理,并增加了对公众和动物健康构成的风险。然而,最近在使用从太空观测地球的卫星数据以及使用英国公众使用智能手机应用Bloomin‘algae收集的数据方面的创新,有可能通过增加监测的水体数量和观测频率来显著改变这一点。这些在地球观测和公民科学方面的创新具有真正的潜力,可以为水务公司、环境监管机构、地方当局和公众提供他们需要的数据和信息,以便更好地管理有毒藻类繁殖带来的风险。在这项概念验证研究中,我们将展示新卫星数据的力量,其中包括最近发射到太空的数百个小型“纳米卫星”,用于监测英国各地水体的藻类繁殖。我们将通过公众、相关机构和行业工作人员在岸上发表的公民观察来加强这一点。我们将调查这两个新数据来源的综合力量,以确定是否存在超过英国和世界卫生组织目前关于饮用水供应和娱乐活动的指导方针的水华事件。我们还将审查这些数据的潜力,以提高我们对短期气候极端事件对英国水质影响的科学理解。这两种办法在可以监测的地点的空间尺度上提供了互补性,使我们能够独立核实调查结果。同时,我们将组建一支在使用卫星数据、公民科学、建模和统计方面拥有不同专业知识的科学家团队,与自来水公司、英国卫生和环境保护机构以及地方当局代表合作。该工作组将为全国范围内的水华监测和预报服务制定蓝图,该服务可以补充和增强其现有的一些监测和报告具有健康、社会或经济影响的环境事件的系统。这可能包括一个系统,向公众和感兴趣的机构,如水上运动中心、渔业和兽医实践提供直接通知。这样的气候服务将大大增强英国水务行业、环境机构、公共卫生机构和地方当局对未来气候变化的适应能力。

项目成果

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Laurence Carvalho其他文献

A phytoplankton trophic index to assess the status of lakes for the Water Framework Directive
  • DOI:
    10.1007/s10750-012-1390-8
  • 发表时间:
    2012-11-30
  • 期刊:
  • 影响因子:
    2.500
  • 作者:
    Geoff Phillips;Anne Lyche-Solheim;Birger Skjelbred;Ute Mischke;Stina Drakare;Gary Free;Marko Järvinen;Caridad de Hoyos;Giuseppe Morabito;Sandra Poikane;Laurence Carvalho
  • 通讯作者:
    Laurence Carvalho
An evaluation of methods for sampling macrophyte maximum colonisation depth in Loch Leven, Scotland
  • DOI:
    10.1016/j.aquabot.2009.02.007
  • 发表时间:
    2009-08-01
  • 期刊:
  • 影响因子:
  • 作者:
    Bryan M. Spears;Iain D.M. Gunn;Laurence Carvalho;Ian J. Winfield;Bernard Dudley;Kevin Murphy;Linda May
  • 通讯作者:
    Linda May
Model comparison for a complex ecological system
复杂生态系统的模型比较
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    C. Ferguson;Adrian Bowman;E. M. Scott;Laurence Carvalho
  • 通讯作者:
    Laurence Carvalho
Towards sustainable lake restoration
  • DOI:
    10.1016/j.scitotenv.2025.180001
  • 发表时间:
    2025-09-10
  • 期刊:
  • 影响因子:
    8.000
  • 作者:
    Olga Tammeorg;Theis Kragh;Gertrud K. Nürnberg;Laurence Carvalho;Brian Huser;Tom Jilbert;Renata Augustyniak-Tunowska;Tallent Dadi;Kurt Friese;Laura Grinberga;Jolanta K. Grochowska;Sigrid Haande;Laura H. Härkönen;Michael Hupfer;Kenneth Irvine;Priyanka Jamwal;Anna-Marie Klamt;Zhengwen Liu;Yvonne McElarney;Maira Mucci;Miquel Lürling
  • 通讯作者:
    Miquel Lürling
The benefits of restoring urban lakes in the tropics
恢复热带城市湖泊的好处
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3
  • 作者:
    P. Jamwal;Laurence Carvalho;Sumita Bhattacharyya;Pavan Muttepawar
  • 通讯作者:
    Pavan Muttepawar

Laurence Carvalho的其他文献

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