Simplified Dual-Drainage Modelling for Flood Risk Assessment in Urban Areas

城市地区洪水风险评估的简化双排水模型

• 批准号: EP/H015736/1
• 负责人: Dragan Savic
• 金额: $ 54.14万
• 依托单位: UNIVERSITY OF EXETER
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FH015736%2F1
• 关键词: Simplified; Dual; Drainage; Modelling; Flood

Flooding is a major problem in the UK as recent high profile events in the summers of 2006 and 2007 have shown. In these events the damage to property and belongings ran into billions of pounds and a number of people were injured or lost their lives in these events. Therefore, predicting the location and severity of flooding is extremely important in preventing these losses. Current computer models for predicting flooding are highly accurate, but take a very long time to run even on the fastest computers. This project intends to use a technique known as cellular automata, a model based on the localised interactions of small cells, to simulate flooding in such a way that it will be possible to run complicated scenarios on a standard PC. The new approach will gain efficiency by making use of the fact that each cell can only 'see' the cells closest to it and the project will investigate the best ways of allowing each cell to communicate with its neighbours. The approach will be tested over a number of different flooding scenarios and compared with existing methodologies to demonstrate its accuracy and increased efficiency over standard methods.

洪水是英国的一个主要问题，最近在2006年和2007年夏天发生的引人注目的事件就表明了这一点。在这些事件中，财产和财物的损失高达数十亿英镑，许多人在这些事件中受伤或丧生。因此，预测洪水的位置和严重程度对于防止这些损失至关重要。目前预测洪水的计算机模型非常准确，但即使在最快的计算机上运行也需要很长时间。这个项目打算使用一种被称为细胞自动机的技术，一种基于小细胞局部相互作用的模型，以一种可以在标准PC上运行复杂场景的方式来模拟洪水。新方法将通过利用每个细胞只能“看到”离它最近的细胞的事实来提高效率，该项目将研究允许每个细胞与相邻细胞通信的最佳方式。该方法将在许多不同的洪水情景中进行测试，并与现有方法进行比较，以证明其准确性和比标准方法更高的效率。

项目成果

Case study of the cascading effects on critical infrastructure in Torbay coastal/pluvial flooding with climate change and 3D visualisation

气候变化和 3D 可视化对托贝沿海/雨洪洪水对关键基础设施的连锁效应案例研究

• DOI: 10.2166/hydro.2019.032
• 发表时间: 2020
• 期刊: Journal of Hydroinformatics
• 影响因子: 2.7
• 作者: Djordjevic S

Application of cellular automata approach for fast flood simulation

元胞自动机方法在快速洪水模拟中的应用

• 作者: Bidur Ghimire (Author)

3D visualisation tool for improving the resilience to urban and coastal flooding in Torbay, UK

• DOI: 10.1016/j.proeng.2018.01.104
• 发表时间: 2018
• 期刊: Procedia Engineering
• 作者: Albert S. Chen;M. Khoury;L. Vamvakeridou-Lyroudia;D. Stewart;M. Wood;D. Savić;S. Djordjević

Urban flash flooding analysis with rain gauge and radar rainfall information

利用雨量计和雷达降雨信息进行城市山洪分析

• 发表时间: 2016
• 作者: Chen, A.S.

Estimating Flood Characteristics Using Geomorphologic Flood Index with Regards to Rainfall Intensity-Duration-Frequency-Area Curves and CADDIES-2D Model in Three Iranian Basins

利用地貌洪水指数、降雨强度-持续时间-频率-面积曲线和 CADDIES-2D 模型估算伊朗三个盆地的洪水特征

• DOI: 10.3390/su12187371
• 发表时间: 2020
• 期刊: Sustainability
• 影响因子: 3.9
• 作者: Faridani F