Quantifying the effectiveness of natural flood management in lowland

在2015年12月坎布里亚郡发生严重洪水之后，人们进一步呼吁将自然解决方案纳入洪水缓解计划。自然洪水管理（NFM）作为一种非常有用和可持续的方法在过去十年中出现。它涉及采取多种措施，通过恢复或加强上游集水区的自然过程来减轻洪水。NFM在洪水风险管理中的有效性证据有限。因此，该项目的总体目标是监测NFM干预措施的范围，并评估其在空间和时间上的功能。这将提供数值模拟人员在一系列尺度上评估其有效性所需的信息。更具体地说，这个项目的目标是：(1)在一系列事件规模和先决条件下，单独和联合监测NFM干预措施的功能；(2)定义洪水水文指标，并确定干预措施的潜力，以减轻特定的洪水特征（如峰值流量、峰值水位、洪水持续时间、上升速度）；(3)咨询数值建模者，将水力和水文干预功能的测量结果转化为可用的参数（例如粗糙度和存储指数）；(4)向广泛的利益相关者解释和传达干预功能的测量结果；(5)考虑干预措施的可持续性及其在缓解未来环境变化方面的潜力。该项目得益于监测干预措施有效性的独特机会，该干预措施是在Evenlode流域进行的第一次泰晤士盆地NFM试验的一部分。这是一项为期5年的试验（2016年至2021年），由Evenlode流域合作伙伴组织协调。将考虑利用公民科学加强干预监测的潜力。该项目将补充以前的NFM建模研究，并从与当前计划的一致中受益。一系列新的监测技术将用于监测干预功能（例如无人机（UAV）摄影和遥控测量船）。

Further calls for the inclusion of natural solutions in flood alleviation schemeswere made following the severe floods in Cumbria, December 2015. NaturalFlood Management (NFM) has emerged over the last decade as a very usefuland sustainable approach. It involves the adoption of a multitude of measuresthat mitigate flooding by restoring or enhancing natural processes in upstreamcatchment areas. Evidence of the effectiveness of NFM in flood riskmanagement is limited. Therefore, the overall aim of this project is to monitora range of NFM interventions and evaluate their functioning in space and time.This will provide the information needed by numerical modellers to assesstheir effectiveness at a range of scales. More specifically the objectives of thisproject would be to: (1) monitor the functioning of NFM interventions bothindividually and in combination for a range of event magnitudes and antecedent conditions; (2) define floodhydrograph metrics and determine the potential of interventions to mitigate specific flood characteristics (e.g.peak flow, peak level, flood duration, rate of rise); (3) consult numerical modellers to translate measurements ofhydraulic and hydrological intervention functioning into useable parameters (e.g. roughness and storage indices);(4) interpret and communicate measurements of intervention functioning to a wide range of stakeholders; and (5)consider the sustainability of interventions and their potential in mitigating future environmental change. Thisproject benefits from the unique opportunity to monitor the effectiveness of interventions being implemented aspart of the first Thames Basin NFM trial in the Evenlode catchment. This is a 5 year trial (2016 to 2021) beingco-ordinated by the Evenlode Catchment Partnership. The potential of using citizen science to enhance themonitoring of interventions will be considered. This project will compliment previous NFM modelling studiesand benefit from alignment with current initiatives. A range of novel monitoring techniques will be used tomonitor intervention functioning (e.g. Unmanned Aerial Vehicle (UAV) photography and a remote controlledsurveying boat).