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: Newcastle University
• 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
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=ST%2FY003837%2F1
• 关键词: Sewer; Overflow; Flood; Risk; Analysis

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.

这项建议的总体目标是在Dafni上开发和演示一个最先进的平台，用于了解和模拟与地表水洪水和备受瞩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大小，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，以缓解风暴溢出和地表洪水泛滥。该平台将以CityCat模式为基础。通过一系列磋商、共同创建和共同开发研讨会，我们将通过以下目标使该模型对非学术和非专家用户更广泛和更有用：1.扩展Dafni现有工作流程的功能，使用户能够评估蓝绿色缓解特征的有效性。2.使用遗传算法(GA)工具优化BGI(蓝色绿色基础设施)设计，以优化BGI的位置，使包括社区和地方当局在内的更多用户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，更好地可视化和使用(地面和管道)排水网络，以建立模型和分析结果，用于社区和利益攸关方参与以及设计和风险评估。复原力情景框架：制定一种方法，灵活地探索各种降雨事件和设计限制条件。