FUTURE-DRAINAGE: Ensemble climate change rainfall estimates for sustainable drainage

未来排水：可持续排水的气候变化降雨量估计

• 批准号: NE/S016678/1
• 负责人: Qiuhua Liang
• 金额: $ 13.8万
• 依托单位: Loughborough University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FS016678%2F1
• 关键词: FUTURE; DRAINAGE; Ensemble; climate; change

The new climate projections from the UK have just been released and as part of this, next year, there will be the release of outputs from a number of very high resolution climate models across the UK. These models are able to represent the daily cycle of rainfall, and rainfall characteristics like intensity, duration and frequency of occurrence, much better than coarser resolution models that have been used previously and can therefore help us to understand how short-duration intense rainfall events and flash floods might change in the future. Here we propose to couple them, for the first time, with new, high-resolution flood models for small rapid response catchments, like Boscastle, or urban areas that suffer from flash floods. Together they will be used to update guidance for urban drainage design and methods for urban surface water flood risk assessment in the UK: priorities identified in the National Flood Resilience Review (2016) and restated in the UK Adaptation Sub-Committee's UK Climate Change Risk Assessment 2017 Synthesis Report: Appendix on Urgency Scoring Tables which identified "Risks of sewer flooding due to heavy rainfall" as an area where "more action is needed to deliver sustainable drainage systems, upgrade sewers where appropriate and tackle drivers increasing surface runoff (e.g. impermeable surfacing in urban areas)." This will include new 'uplifts' that can be applied to design storm events to represent climate change effects on storms and recommendations on the updates of existing methods and tools used to tackle surface water flooding.FUTURE-DRAINAGE will add to the evidence-base for the UK Climate Change Risk Assessment and the National Adaptation Programme; and is aligned with the UK Government's 25 Year Environment Plan (2018), specifically the goal of reducing risk of harm from environmental hazards and of adapting to climate by improving climate resilience in the UK. The importance of revised rainfall uplifts and new guidance for UK urban drainage design and urban flood resilience is evidenced in the letters of support our project team has solicited from UK water and sewerage companies, the Scottish Environment Protection Agency and informal support from the Environment Agency who considers the work is of particular relevance to applications in surface water management and design of storm water systems. Therefore, FUTURE-DRAINAGE will deliver nationally important research outputs for uptake by government agencies and industrial sectors to improve climate change adaption and resilience in the UK.

英国刚刚发布了新的气候预测，作为其中的一部分，明年将发布英国各地多个超高分辨率气候模型的输出。这些模型能够代表降雨的每日周期，以及强度、持续时间和发生频率等降雨特征，比以前使用的粗分辨率模型要好得多，因此可以帮助我们了解短时强降雨事件和山洪暴发在未来可能发生的变化。在这里，我们建议首次将它们与新的高分辨率洪水模型结合起来，用于小型快速响应集水区，如博斯卡斯尔或遭受山洪暴发的城市地区。它们将共同用于更新英国城市排水设计指南和城市地表水洪水风险评估方法：国家防洪审查（2016）中确定的优先事项，并在英国适应小组委员会的英国气候变化风险评估2017年综合报告中重申：紧急评分表附录，其中将“强降雨导致的下水道洪水风险”确定为“需要采取更多行动以实现可持续发展”的领域 排水系统，酌情升级下水道，并解决增加地表径流的驱动因素（例如城市地区的不透水路面）。”这将包括可用于设计风暴事件的新“提升”，以代表气候变化对风暴的影响，以及关于更新用于解决地表水泛滥的现有方法和工具的建议。未来排水将增加英国气候变化风险评估和国家适应计划的证据基础；并与英国政府的 25 年环境计划（2018 年）保持一致，特别是减少环境危害造成的危害风险以及通过提高英国的气候适应能力来适应气候的目标。修订后的降雨量上升以及英国城市排水设计和城市防洪能力新指南的重要性在我们的项目团队向英国供水和污水处理公司、苏格兰环境保护局以及环境署的非正式支持中征求的支持信中得到了证明，环境署认为这项工作与地表水管理和雨水系统设计的应用特别相关。因此，未来排水项目将提供全国重要的研究成果，供政府机构和工业部门采用，以提高英国的气候变化适应能力和复原力。

项目成果

Improving the performance of city-scale hydrodynamic flood modelling through a GIS-based DEM correction method

• DOI: 10.1007/s11069-022-05267-1
• 发表时间: 2022-02
• 期刊: Natural Hazards
• 影响因子: 3.7
• 作者: Y. Xing;Huili Chen;Q. Liang;Xieyao Ma

A full-scale fluvial flood modelling framework based on a high-performance integrated hydrodynamic modelling system (HiPIMS)

• DOI: 10.1016/j.advwatres.2019.103392
• 发表时间: 2019-08
• 期刊: Advances in Water Resources
• 影响因子: 4.7
• 作者: X. Xia;Q. Liang;X. Ming

A quantitative multi-hazard risk assessment framework for compound flooding considering hazard inter-dependencies and interactions

• DOI: 10.1016/j.jhydrol.2022.127477
• 发表时间: 2022-01
• 期刊: Journal of Hydrology
• 影响因子: 6.4
• 作者: X. Ming;Q. Liang;R. Dawson;X. Xia;J. Hou

A novel 1D-2D coupled model for hydrodynamic simulation of flows in drainage networks

• DOI: 10.1016/j.advwatres.2020.103519
• 发表时间: 2020-03-01
• 期刊: ADVANCES IN WATER RESOURCES
• 影响因子: 4.7
• 作者: Li, Qian;Liang, Qiuhua;Xia, Xilin
• 通讯作者: Xia, Xilin

Real-Time Flood Forecasting Based on a High-Performance 2-D Hydrodynamic Model and Numerical Weather Predictions

• DOI: 10.1029/2019wr025583
• 发表时间: 2020-07-01
• 期刊: WATER RESOURCES RESEARCH
• 影响因子: 5.4
• 作者: Ming, Xiaodong;Liang, Qiuhua;Fowler, Hayley J.
• 通讯作者: Fowler, Hayley J.