Natural Flood Processes for Flood Risk Management

洪水风险管理的自然洪水过程

• 批准号: 2117985
• 金额: --
• 依托单位: CARDIFF UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2117985
• 关键词: Natural; Flood; Processes; Risk; Management

The aim of this project is to develop a novel methodology to assess the effectiveness of Natural Flood Management (NFM) interventions at catchment reach levels. The methodology is based on an integrated and complementary monitoring and modelling approach, utilising NRW technologies, which will lead to improved flood modelling software. The effectiveness will be tested using data from a new integrated field monitoring programme at two Shropshire catchments. The project has five objectives:Objective 1. To understand the scale and location requirements for effective NFM interventions at catchment level in new NFM sites (e.g. Corvedale and Coalbrookdale).Objective 2. To develop a novel technology supported protocol for monitoring the effectiveness of woody debris dams at the NFM sites by enhancing the current monitoring programme.Objective 3. To develop and validate a NFM prediction methodology by adding on a unit at reach level to EA approved flood modelling tools. This unit will represent the hydrodynamic impounding effect.Objective 4. To test the new unit against the field site data sets and benchmark against current approaches to modelling woody debris dams in existing flood modelling software.Objective 5. To use the new modelling unit to test clusters of woody debris dams and combinations of NFM intervention types for current and future climate change dynamics.

该项目的目的是开发一种新的方法来评估自然洪水管理（NFM）干预措施在集水区的有效性。该方法基于综合和互补的监测和建模方法，利用NRW技术，这将导致改进洪水建模软件。有效性将使用来自一个新的综合实地监测计划在两个什罗普郡集水区的数据进行测试。该项目有五个目标：目标1。了解在新的NFM站点（如Corvedale和Coalbrookdale）的集水区层面进行有效NFM干预的规模和位置要求。通过加强目前的监测方案，制定一项新的技术支持协议，用于监测NFM地点的木质残体坝的有效性。通过在EA批准的洪水建模工具中添加河段水位单元，开发并验证NFM预测方法。该单元将代表水动力蓄水效果。对照实地数据集测试新单元，并对照现有洪水模拟软件中模拟木质残体坝的现行方法进行基准测试。使用新的建模单元来测试木质残体坝群以及当前和未来气候变化动态的NFM干预类型组合。