Catchment change network (CCN): A professional development platform for decision-making for adaptation and uncertain environmental change
流域变化网络(CCN):适应和不确定环境变化决策的专业开发平台
基本信息
- 批准号:NE/G008787/1
- 负责人:
- 金额:$ 45.55万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2009
- 资助国家:英国
- 起止时间:2009 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
A Catchment Change Network is proposed that will enable the exchange of knowledge, people, skills and expertise between the NERC research base and its science user community. The initial focus will be to understand and manage uncertainty and risk related to water scarcity, flood risk and diffuse pollution management. However, it is intended that the network will evolve to consider other topics and become self-sustaining beyond the lifetime of the NERC investment. The initial activities, for which NERC funding is sought, will take the form of three complementary Focus Areas with Focus Area Teams comprised of two lead researchers and two core science users, designed to allow the exchange of NERC knowledge in a form of benefit to a much broader range of science users. The activities will include workshops and training for industry and the private sector, focussed special publications, representing Guides to Good Practice, and annual conferences developed by the Focus Area Teams. The network will be supported by a dedicated web site and an expert facilitator who will nurture the relationship between scientists and science users with the final aim to build sufficient capacity to create a new and self-sustainable platform for learning and new collaborative research opportunities. The context - Capacity to handle uncertainty and risk. The science of the natural environment is an uncertain science. Practitioners cannot make predictions for real problems without significant uncertainty in representing the processes involved. In catchment management, this inherent uncertainty is exacerbated by the additional complexities of future climate change, societal change and technical innovation. These are all difficult to anticipate or quantify and suggest a need for an adaptive approach to management with a science need driven by existing and emerging legislation. The EU Water Framework Directive, for example, poses a number of key questions for catchment scientists: Will improvements in effluents and diffuse sources change stream ecology in predictable ways? Will climate change have a greater effect than land use change on sustainability of use? Similarly, the EU Floods Directive poses questions in which management of uncertainty is essential, e.g. how can we estimate for the '100 or 1000 year flood' given limited available data? Such questions require an integrated approach to catchment management - 'from cloud to coast'. Good investment decisions for infrastructure and policy instruments require methodologies that recognise the intrinsic uncertainty in the predictions of different types of change so that robust, adaptive, management priorities can be determined. Much decision making is based on best estimates of future scenarios, without adequate account of the significant uncertainties in such estimates. Methods for taking account of uncertainties do exist and might change decisions made. The proposed Catchment Change Network (CCN) will exchange knowledge of how to handle uncertainties in integrated catchment management, with an initial focus on decision making in planning for adaptation and mitigation in flood risk, water scarcity, and diffusive pollution. The CCN will draw together a core of NERC scientists and science users to deliver user defined requirements for economic and social benefit, whilst also involving a wider science user and NERC audience. The major aim of the network will be to integrate modern uncertainty estimation methods linking risk and uncertainty with a move towards adaptive management at the catchment scale.
建议建立一个集水区变化网络,使NERC研究基地与其科学用户社区之间能够交流知识、人员、技能和专门知识。最初的重点将是了解和管理与水资源短缺、洪水风险和扩散污染管理有关的不确定性和风险。然而,该网络将发展到考虑其他主题,并在NERC投资的生命周期之外实现自我维持。NERC寻求资助的最初活动将采取三个互补的重点领域的形式,重点领域小组由两名主要研究人员和两名核心科学用户组成,旨在使NERC知识以一种有利于更广泛的科学用户的形式进行交流。这些活动将包括为工业和私营部门举办的讲习班和培训、代表良好做法指南的重点特别出版物以及由重点领域小组制定的年度会议。该网络将得到一个专门的网站和一位专家促进者的支持,后者将培养科学家和科学用户之间的关系,最终目标是建立足够的能力,为学习和新的合作研究机会创建一个新的和自我可持续的平台。环境——处理不确定性和风险的能力。自然环境科学是一门不确定的科学。如果在表示所涉及的过程中没有明显的不确定性,从业者就无法对实际问题做出预测。在集水区管理中,未来气候变化、社会变化和技术创新带来的额外复杂性加剧了这种固有的不确定性。这些都是难以预测或量化的,并且表明需要一种适应性的管理方法,这种方法具有由现有和新出现的立法驱动的科学需求。例如,欧盟水框架指令向集水区科学家提出了一系列关键问题:污水和扩散水源的改善会以可预测的方式改变河流生态吗?气候变化是否比土地利用变化对可持续利用的影响更大?同样,欧盟洪水指令提出了一些问题,其中对不确定性的管理是必不可少的,例如,在有限的可用数据下,我们如何估计“100年或1000年的洪水”?这些问题需要一种集水区管理的综合方法——“从云到海岸”。基础设施和政策工具的良好投资决策,需要认识到不同类型变化预测中内在不确定性的方法,以便确定稳健、适应性强的管理优先事项。许多决策都是基于对未来情景的最佳估计,而没有充分考虑到这种估计中的重大不确定性。考虑不确定性的方法确实存在,并且可能改变所作的决定。拟议的流域变化网络(CCN)将交流关于如何处理综合流域管理中的不确定性的知识,最初的重点是规划适应和减轻洪水风险、水资源短缺和扩散污染的决策。CCN将把NERC科学家和科学用户的核心聚集在一起,为经济和社会效益提供用户定义的需求,同时也涉及更广泛的科学用户和NERC受众。该网络的主要目标将是整合现代不确定性估计方法,将风险和不确定性与流域规模的适应性管理结合起来。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Towards risk-based water resources planning in England and Wales under a changing climate
- DOI:10.1111/j.1747-6593.2011.00271.x
- 发表时间:2012-03-01
- 期刊:
- 影响因子:2
- 作者:Hall, J. W.;Watts, G.;Kilsby, C. G.
- 通讯作者:Kilsby, C. G.
A method for uncertainty constraint of catchment discharge and phosphorus load estimates
流域流量和磷负荷估算的不确定性约束方法
- DOI:10.1002/hyp.13217
- 发表时间:2018
- 期刊:
- 影响因子:3.2
- 作者:Hollaway M
- 通讯作者:Hollaway M
I believe in climate change but how precautionary do we need to be in planning for the future?
我相信气候变化,但我们在规划未来时需要采取多大的预防措施?
- DOI:10.1002/hyp.7939
- 发表时间:2011
- 期刊:
- 影响因子:3.2
- 作者:Beven K
- 通讯作者:Beven K
Smiling in the rain: Seven reasons to be positive about uncertainty in hydrological modelling
- DOI:10.1002/hyp.9625
- 发表时间:2013-03
- 期刊:
- 影响因子:3.2
- 作者:J. Juston;Anna Kauffeldt;B. Q. Montano;J. Seibert;K. Beven;I. Westerberg
- 通讯作者:J. Juston;Anna Kauffeldt;B. Q. Montano;J. Seibert;K. Beven;I. Westerberg
On virtual observatories and modelled realities (or why discharge must be treated as a virtual variable)
关于虚拟天文台和建模现实(或者为什么放电必须被视为虚拟变量)
- DOI:10.1002/hyp.9261
- 发表时间:2012
- 期刊:
- 影响因子:3.2
- 作者:Beven K
- 通讯作者:Beven K
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Keith Beven其他文献
Estimating phosphorus delivery with its mitigation measures from soil to stream using fuzzy rules
使用模糊规则估算从土壤到溪流的磷输送及其缓解措施
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Ting Zhang;T. Page;A. Heathwaite;Keith Beven;D. M. Oliver;P. Haygarth - 通讯作者:
P. Haygarth
On the future of hydroecological models of everywhere
关于无处不在的水生态模型的未来
- DOI:
10.1016/j.envsoft.2025.106431 - 发表时间:
2025-04-01 - 期刊:
- 影响因子:4.600
- 作者:
Keith Beven - 通讯作者:
Keith Beven
Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures
使用基于机器学习的可接受性限度和水文特征对实测和未实测流域水文模型的评估
- DOI:
10.1016/j.jhydrol.2024.131774 - 发表时间:
2024-09-01 - 期刊:
- 影响因子:6.300
- 作者:
Abhinav Gupta;Mohamed M. Hantush;Rao S. Govindaraju;Keith Beven - 通讯作者:
Keith Beven
Uncertainty in the estimation of critical loads: A practical methodology
- DOI:
10.1007/bf02047040 - 发表时间:
1997-09-01 - 期刊:
- 影响因子:3.000
- 作者:
Susan K. Zak;Keith Beven;Brian Reynolds - 通讯作者:
Brian Reynolds
UPH Problem 20 – reducing uncertainty in model prediction: a model invalidation approach based on a Turing-like test
UPH 问题 20 – 减少模型预测的不确定性:基于类图灵测试的模型失效方法
- DOI:
10.5194/piahs-385-129-2024 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Keith Beven;Trevor Page;Paul Smith;A. Kretzschmar;B. Hankin;Nick Chappell - 通讯作者:
Nick Chappell
Keith Beven的其他文献
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{{ truncateString('Keith Beven', 18)}}的其他基金
Real-time forecasting of algal blooms in reservoirs
水库藻华实时预报
- 批准号:
NE/N004817/1 - 财政年份:2015
- 资助金额:
$ 45.55万 - 项目类别:
Research Grant
The Consortium on Risk in the Environment: Diagnostics, Integration, Benchmarking, Learning and Elicitation (CREDIBLE)
环境风险联盟:诊断、整合、基准测试、学习和启发(CREDIBLE)
- 批准号:
NE/J017299/1 - 财政年份:2013
- 资助金额:
$ 45.55万 - 项目类别:
Research Grant
A United Kingdom Lake Ecological Observatory Network
英国湖泊生态观测站网络
- 批准号:
NE/I007318/1 - 财政年份:2011
- 资助金额:
$ 45.55万 - 项目类别:
Research Grant
A new grid-free, hysteretic, and scale-dependent approach to modelling hillslope hydrology
一种新的无网格、滞后和尺度相关的山坡水文建模方法
- 批准号:
NE/G017123/1 - 财政年份:2010
- 资助金额:
$ 45.55万 - 项目类别:
Research Grant
Local flood forecasting capability for fluvial and estuarine floods: Use of GridStix for constraining uncertainty in predictive models
河流和河口洪水的本地洪水预报能力:使用 GridStix 来约束预测模型中的不确定性
- 批准号:
NE/E002331/1 - 财政年份:2008
- 资助金额:
$ 45.55万 - 项目类别:
Research Grant
Local flood forecasting capability for fluvial and estuarine floods: Use of GridStix for constraining uncertainty in predictive models
河流和河口洪水的本地洪水预报能力:使用 GridStix 来约束预测模型中的不确定性
- 批准号:
NE/E002102/1 - 财政年份:2007
- 资助金额:
$ 45.55万 - 项目类别:
Research Grant
Local flood forecasting capability for fluvial and estuarine floods: Use of GridStix for constraining uncertainty in predictive models
河流和河口洪水的本地洪水预报能力:使用 GridStix 来约束预测模型中的不确定性
- 批准号:
NE/E002439/1 - 财政年份:2007
- 资助金额:
$ 45.55万 - 项目类别:
Research Grant
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发展/减排路径(SSPs/RCPs)下中国未来人口迁移与集聚时空演变及其影响
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