Field Testing of a Smart Geomat Based on Fiber Optic Sensors and Sensor Fusion for Levee Monitoring

IF 3 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Manuel Bertulessi, Francesca Ceccato, Francesco Ioli, Federico Barbieri, Livio Pinto, Paolo Simonini, Giovanni Menduni
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Abstract

Real-time monitoring of the functionality of river embankments, especially during flood events, is an increasingly important topic in the new scenario outlined by climate change. To address this issue, the concept of the “smart levee” has recently emerged, based on the fusion of information from different types of sensors to obtain, remotely and in real time, an improved knowledge of its structural health status. The work here presented applies this concept by proposing an innovative monitoring solution consisting of an anti-erosion reinforced geomat equipped with Fiber Optic Sensors. This “smart revetment” aims to detect any surface displacement induced by failure mechanisms such as erosion and piping phenomena, as well as any physical change in soil properties (e.g., temperature and water content). These measurements, once integrated with other environmental variables, can then be associated with the variability of the most common environmental and operational factors, such as the rise in river levels during high flow events, or used to detect anomalies in the original geometry of the embankment surface. Four prototypes of this smart revetment were installed on a real levee by the city of Modena (Italy) in March 2023. The results obtained after 1 year of operation provided positive feedback on the smart revetment concept, which proved to be an innovative technological tool to improve flood resilience, both by increasing the efficiency of maintenance planning and by supporting civil protection surveillance during flood events.

Abstract Image

基于光纤传感器和传感器融合的智能地理信息系统用于堤防监测的现场测试
在气候变化的新情况下,对河流堤防功能的实时监测,特别是在洪水事件期间,是一个越来越重要的话题。为了解决这一问题,最近出现了“智能大堤”的概念,该概念基于融合来自不同类型传感器的信息,以远程和实时地获得对其结构健康状况的更好了解。本文提出的工作应用了这一概念,提出了一种创新的监测解决方案,该解决方案由配备光纤传感器的抗侵蚀增强geomat组成。这种“智能护岸”旨在检测由破坏机制(如侵蚀和管道现象)引起的任何表面位移,以及土壤性质(如温度和含水量)的任何物理变化。这些测量,一旦与其他环境变量相结合,就可以与最常见的环境和操作因素的可变性相关联,例如在高流量事件期间河流水位的上升,或者用于检测堤防表面原始几何形状的异常。2023年3月,意大利摩德纳市在一个真正的堤坝上安装了四个这种智能护岸的原型。经过1年的运行,获得的结果对智能护岸概念提供了积极的反馈,这被证明是一种创新的技术工具,可以通过提高维护计划的效率和在洪水事件期间支持民防监测来提高抗洪能力。
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来源期刊
Journal of Flood Risk Management
Journal of Flood Risk Management ENVIRONMENTAL SCIENCES-WATER RESOURCES
CiteScore
8.40
自引率
7.30%
发文量
93
审稿时长
12 months
期刊介绍: Journal of Flood Risk Management provides an international platform for knowledge sharing in all areas related to flood risk. Its explicit aim is to disseminate ideas across the range of disciplines where flood related research is carried out and it provides content ranging from leading edge academic papers to applied content with the practitioner in mind. Readers and authors come from a wide background and include hydrologists, meteorologists, geographers, geomorphologists, conservationists, civil engineers, social scientists, policy makers, insurers and practitioners. They share an interest in managing the complex interactions between the many skills and disciplines that underpin the management of flood risk across the world.
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