A National Scale Model of Green Infrastructure for Water Resources

国家级水资源绿色基础设施模型

• 批准号: NE/N017714/1
• 负责人: Jim Hall
• 金额: $ 12.43万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FN017714%2F1
• 关键词: National; Scale; Model; Green; Infrastructure

Can green infrastructure form part of a water resources plan? How can we evaluate where the most impact from new wetlands and forests can be made? How robust are these 'natural water retention methods' (NWRM) to climate change? How much will they cost in comparison to conventional methods?These questions are currently being answered in a local context, with case studies and pilot projects well established and their outputs understood. At the national scale there has been far less work done. No model has taken the outputs of individual NWRM and formed a generalised approach which can be used to identify the costs and benefits of a range of options for new NWRM across Great Britain and mapped solutions in financial and carbon terms. This work builds on existing expertise on water resource systems modelling planning within the Oxford research group and uses the existing knowledge of project partners.The main steps in our project are:1. Explore the knowledge of our project partners on NWRM. We will host discussions on the sites where NWRM has been used and record the accounts of how these schemes have been developed through interviewing expert project partners. We will ask about: -The cost of building, the time taken to develop the sites, and the operational costs. -The impacts that they noticed or monitored on local riversWe will compare the answers we are given with information from reports from elsewhere in the world.2. Using this information we will make a model of the effects of NWRM on water. This will involve looking at what information on each NWRM can tell us about what the impact on water resources is going to be. 3. Having made a model of individual NWRM, we will apply this to our existing model of water resources for mainland Great Britain. This determines future available supplies and demands for each water resource zone, the management units for water resources. 4. We will investigate how climate change and population will affect the answers from Objective 3, and look at other uncertain factors such as how energy and industry demand for water might change and what happens if people use less water in future.5. We will work with our partners throughout the project to develop practical and useful reports on our work.

绿色基础设施能否成为水资源计划的一部分？我们如何评估新湿地和森林的影响最大的地方？这些“自然保水方法”（NWRM）对气候变化的影响有多大？与传统方法相比，它们的成本是多少？这些问题目前正在地方范围内得到回答，案例研究和试点项目已经确立，其产出也已了解。在全国范围内，所做的工作要少得多。没有模型采取了个别的NWRM的输出，并形成了一个通用的方法，可用于确定成本和效益的一系列选择新的NWRM在英国和映射的解决方案在金融和碳方面。这项工作建立在牛津研究小组现有的水资源系统建模规划的专业知识基础上，并利用项目合作伙伴的现有知识。探索我们的项目合作伙伴在西北水资源管理方面的知识。我们将主持讨论的网站，其中西北水资源管理已被使用，并记录帐户如何这些计划已通过采访专家项目合作伙伴的发展。我们将询问：-建筑成本，开发场地所需的时间和运营成本。- 他们注意到或监测到的对当地河流的影响我们将把我们得到的答案与世界其他地方报告的信息进行比较。2.利用这些信息，我们将建立一个模型的影响，西北水资源管理对水。这将涉及查看每个NWRM的哪些信息可以告诉我们对水资源的影响。 3.在建立了一个单独的西北水资源管理模型之后，我们将把它应用到我们现有的英国大陆水资源模型中。这决定了每个水资源区（水资源的管理单元）未来的可供供应和需求。4.我们将研究气候变化和人口将如何影响目标3的答案，并研究其他不确定因素，如能源和工业对水的需求可能如何变化，以及如果人们未来用水量减少会发生什么。我们将在整个项目中与合作伙伴合作，编写实用和有用的工作报告。

项目成果

A machine learning methodology to quantify the potential of urban densification in the Oxford-Cambridge Arc, United Kingdom

用于量化英国牛津-剑桥弧区城市致密化潜力的机器学习方法

• DOI: 10.1016/j.scs.2023.104451
• 发表时间: 2023
• 期刊: Sustainable Cities and Society
• 影响因子: 11.7
• 作者: Mohajeri N