Digital Tools for Sustainable Water Resources Management: Integrating impact of change of climate, land use, and optimised solutions
可持续水资源管理的数字工具:整合气候变化、土地利用和优化解决方案的影响
基本信息
- 批准号:EP/Y037057/1
- 负责人:
- 金额:$ 12.97万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2024
- 资助国家:英国
- 起止时间:2024 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Extreme climatic events can bring considerable impacts on human societies and ecosystems. The occurrence of hydroclimate extremes, such as floods, droughts, and heatwaves, accompanied by increasing extreme magnitudes, has been rising worldwide. Global warming induced by human-caused climate change has changed the hydrological cycle and intensified water quality challenges. These challenges include polluted runoff from urbanised areas flowing into receiving water bodies such as rivers and lakes, causing eutrophication problems, increased harmful algal blooms and high pathogen loads. Consequently, our drinking water supply, ecosystem services and human health are threatened. How healthy is our water? Can we make our receiving water bodies, such as drinking water sources or recreational waters safe? Can we cope with future climatic events? Can we test and find optimised solutions which can be used in operation and planning by stakeholders in the water sector? Those are vital questions that our joint efforts from Poland, Sweden, and the UK, with advanced competence in water resources management, are trying to tackle.Water management in hydroclimatic extreme events requires systematic analysis, which includes both upstream and downstream perspectives, on a catchment scale. Water management has been advanced and facilitated by recent developments in digitalisation in the water industry, advanced sensors in water quality monitoring and risk warning, and advanced computation with AI and machine learning combined with process-based modelling. Therefore, joint efforts through our competent consortium in water management knowledge and cutting-edge development in our field will make our water management smarter and inspire many players in the water sector in and outside Europe. We aim to develop digital tools for sustainable water resources management by integrating the impact of change of climate, land use, and optimised solutions. The specific water problems we aim to contribute to are eutrophication, toxic algal blooms, and pathogenic contamination. The highlight of our competence varies from urban flood control to 3D technology application, sensor development to advanced process-based modelling, and AI for water quality prediction to science citizen engagement. The integration can later be expanded to other quantity and quality aspects of water management. Below are some details of our research advancement in the field.Flooding and drought risks in urban areas and their consequences: Sustainable and innovative water solutions are highly required for Smart Cities to be established, particularly the water challenges critical for liveability and adequate and safe water supply for societal needs. (UK)Advancement in hardware and software: Current development of data integration and 3D visualisation will be demonstrated (Poland)Climate chambers: We will employ the use of controlled climatic chambers for future scenario analysis and for verifying modelling results (Sweden)Aquatic ecology and diversity: We investigate and include the effect of extreme weather events in conceptual models for future algal blooms, thereby filling critical knowledge gaps.Advancement in water quality monitoring: The influence of sensors and Big Data analytics is very significant, we will employ the use of newly developed sensors to generate water quality data (bacterial and algal quality) and combine this with satellite data. (UK, Poland & Sweden)The digitalisation of water resources management: We will develop an integrated 3D hydrodynamic and water quality model and (incorporate real-time sensor data) in our new project (TWIN-Waters). We will apply this at catchment scale by testing and implementing new sensors, satellite open-source data and service, models (early warning or prediction) with AI and advanced data analysis, and interactive reporting with innovative ways for better communication in water resources management.
极端气候事件会对人类社会和生态系统带来相当大的影响。全球范围内,洪水、干旱和热浪等极端水文气候事件的发生率不断上升,极端事件的发生频率不断增加。人为气候变化引起的全球变暖改变了水文循环,加剧了水质挑战。这些挑战包括城市化地区受污染的径流流入河流和湖泊等受纳水体,导致富营养化问题、有害藻类大量繁殖和病原体含量高。因此,我们的饮用水供应、生态系统服务和人类健康受到威胁。我们的水有多健康?我们能否确保受纳水体(例如饮用水源或娱乐用水)安全?我们能应对未来的气候事件吗?我们能否测试并找到可供水务部门利益相关者在运营和规划中使用的优化解决方案?这些都是我们在水资源管理方面拥有先进能力的波兰、瑞典和英国共同努力试图解决的重要问题。极端水文气候事件中的水资源管理需要系统分析,包括上游和下游的角度,流域规模。水务行业数字化的最新发展、水质监测和风险预警中的先进传感器以及人工智能和机器学习与基于过程的建模相结合的高级计算,使水管理得到了进步和促进。因此,通过我们在水管理知识和领域前沿发展方面的实力联盟的共同努力,将使我们的水管理更加智能,并激励欧洲内外水行业的许多参与者。我们的目标是通过整合气候变化、土地利用和优化解决方案的影响,开发可持续水资源管理的数字工具。我们旨在解决的具体水问题是富营养化、有毒藻华和致病性污染。我们的能力亮点涵盖从城市防洪到 3D 技术应用、传感器开发到基于流程的先进建模、人工智能水质预测到科学公民参与。这种集成随后可以扩展到水管理的其他数量和质量方面。以下是我们在该领域研究进展的一些详细信息。 城市地区的洪水和干旱风险及其后果: 建立智慧城市非常需要可持续和创新的水解决方案,特别是对宜居性和充足且安全的水至关重要的水挑战供给社会需求。 (英国)硬件和软件方面的进步:将展示数据集成和 3D 可视化的当前发展(波兰)气候室:我们将使用受控气候室进行未来的场景分析和验证建模结果(瑞典)水生生态和多样性:我们研究极端天气事件的影响并将其纳入未来藻华的概念模型中,从而填补关键的知识空白。水质监测的进步:传感器和大数据分析的影响非常大重要的是,我们将使用新开发的传感器来生成水质数据(细菌和藻类质量)并将其与卫星数据相结合。 (英国、波兰和瑞典)水资源管理的数字化:我们将在我们的新项目(TWIN-Waters)中开发集成的 3D 水动力和水质模型(结合实时传感器数据)。我们将通过测试和实施新传感器、卫星开源数据和服务、人工智能模型(预警或预测)和高级数据分析,以及采用创新方式的交互式报告,在流域范围内应用这一技术,以更好地沟通水资源管理。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Darren Reynolds其他文献
Challenging the stigma of Alzheimer's disease.
挑战阿尔茨海默病的耻辱。
- DOI:
- 发表时间:
2000 - 期刊:
- 影响因子:0
- 作者:
S. M. Benbow;Darren Reynolds - 通讯作者:
Darren Reynolds
Darren Reynolds的其他文献
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{{ truncateString('Darren Reynolds', 18)}}的其他基金
The development and implementation of sensors and treatment technologies for freshwater systems in India
印度淡水系统传感器和处理技术的开发和实施
- 批准号:
NE/R003106/1 - 财政年份:2018
- 资助金额:
$ 12.97万 - 项目类别:
Research Grant
Management and use of beneficial bacterial biofilms to control aquatic pathogens, for reliable chemical-free sanitisation of swimming pools
管理和使用有益细菌生物膜来控制水生病原体,实现游泳池可靠的无化学消毒
- 批准号:
BB/N024087/1 - 财政年份:2016
- 资助金额:
$ 12.97万 - 项目类别:
Research Grant
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