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Sewer Overflow Flood Risk Analysis MOdel Dafni Enabled (SOFRAMODE)

Sewer Overflow Flood Risk Analysis MOdel Dafni Enabled (SOFRAMODE)
下水道溢流洪水风险分析模型 Dafni 启用 (SOFRAMODE)
批准号:
ST/Y003837/1
负责人:
Vassilis Glenis
金额:
$29.01万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
该提案的总体目标是开发和展示一个最先进的DAFNI平台,用于理解和模拟与地表水洪水和引人注目的风暴溢出事件相关的城市排水,适用于任何英国城镇或城市。场景将涵盖当前和未来降雨事件的范围,并为顾问和行业以及研究人员提供功能,以设计和测试一系列策略,以减轻风暴溢出溢出和地表水泛滥。该平台将以CityCat模型为基础。通过一系列磋商以及共同创造和共同发展讲习班,我们将通过实现以下目标,使该模型更广泛地提供给非学术和非专家用户并对其有用:扩展DAFNI上现有工作流的功能,以允许用户评估蓝绿缓解功能的有效性。2. 使用遗传算法(GA)工具优化BGI(蓝绿基础设施)设计,以优化BGI的位置,使更多用户(包括社区和地方当局)能够快速评估洪水和风暴溢出风险,并在不同情况下测试一系列负担得起的管理组合。3. 开发一种工具,以更好地可视化和使用(地表和管道)排水网络,建立模型和分析结果,用于社区和利益相关者的参与,以及设计和风险评估。弹性情景框架:开发一种方法来灵活地探索大范围的降雨事件和设计约束。
英文摘要
The overall aim of this proposal is to develop and demonstrate a state-of-the-art platform on DAFNI for understanding and simulating urban drainage related to surface water flooding and high-profile storm overflow events, for any UK town or city. Scenarios will encompass a wide range of current and future rainfall event magnitudes, and provide functionality for consultants and industry, as well as researchers, to design and test a range of strategies to mitigate Storm Overflow spills and surface water flooding. The platform will be underpinned by the CityCat model. Through a series of consultations, and co-creation and co-development workshops, we will make the model more widely available and useful to non-academic and non-expert users through addressing the following objectives: 1. Extend functionality of the existing workflow on DAFNI to allow users to assess the effectiveness of blue-green mitigation features. 2. Optimise BGI (Blue Green Infrastructure) design using a Genetic Algorithm (GA) tool to optimise the location of BGI to allow more users, including communities and local authorities, to rapidly assess flood and Storm Overflow risk and test a range of affordable management portfolios under different scenarios. 3. Develop a tool to better visualise and use the (surface and pipe) drainage network for model set up and analysis of results, to use in community and stakeholder engagement as well as design and risk assessment.4. Resilience scenarios framework: develop a methodology to flexibly explore a wide range of rainfall events and design constraints.
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