Capturing local nuisance flooding events with HOBO pendant G data loggers in Key West, Florida US

Flooding impacts social, economic, and landscape systems globally. Changing climate and growing coastal populations exacerbate the outcomes of environmental hazards. Due to the spatial variability in exposure and vulnerability, coastal flooding must be understood at high spatial and temporal resolutions. This paper presents a novel deployment technique using inexpensive accelerometers to measure local floods. The technique is tested in Key West, FL, USA using storm drains to deploy HOBO pendant G data loggers. The feasibility of the method is tested by a team of local stakeholders and researchers through four deployments between July 2019 – November 2021. All deployments resulted in 22 sensors successfully recording data, with 15 of these sensors recording flooding. Sensors captured an average of 13.58 inundation events causing the storm drains to be inundated on average 12.07% of the deployment time. Measured inundation events coincide with local National Oceanic and Atmospheric Admini..., The research team — which includes a Key West municipal employee, researchers from Northeastern University and researchers from the United States Naval Academy — use HOBO pendant G data loggers to collect flooding data in Key West. The loggers record acceleration and angular displacement (tilt) in three dimensions, allowing for characterization of three-dimensional motion. For nuisance flooding, the acceleration and tilt are used to record localized flood events since rising water changes the orientation of the buoyant sensors, causing angular displacement and a change in the axis experiencing gravitational acceleration. Storm drains were selected for deployments, providing publicly accessible areas that were both prone to frequent inundation and fixed locations for sensor deployment. Using knowledge of previous flooding events and local expertise, 14 total deployment locations were selected. Each location has a publicly accessible storm drain to attach the loggers. The research team de..., All data files are saved as .csv from the HOBOware v3.7.21. The code was created using RStudio v1.4.1717. , # Capturing local nuisance flooding events with HOBO pendant G data loggers in Key West, Florida US Stakeholder Driven Sensor Deployments to Characterize Nuisance Flood Inundation and Duration in Key West Florida We test a novel deployment technique using inexpensive accelerometers to measure local floods in Key West, FL, USA using storm drains to deploy HOBO pendant G data loggers. The feasibility of the method is tested by a team of local stakeholders and researchers through four deployments between July 2019 - November 2021. All deployments resulted in 22 sensors successfully recording data, with 15 of these sensors recording flooding. ## Description of the Data and file structure The sum acceleration and the tilt in all three dimensions were downloaded through HOBOware v3.7.21, exported as .csv files and uploaded to RStudio v1.4.1717 for processing. Times at which a sensor recorded a flooding event were identified using tilt in the x-direction and z-direction. A .csv file is crea...全球范围内，洪涝灾害对社会、经济与景观系统均造成显著冲击。气候变化加剧与沿海人口持续增长，进一步放大了环境灾害的危害程度。由于暴露度与脆弱性存在空间异质性，对沿海洪涝的认知需达到高时空分辨率水平。 本研究提出一种新型部署技术方案，采用低成本加速度计（accelerometers）开展局地洪涝监测。该方案于美国佛罗里达州基韦斯特（Key West, FL）开展实地测试，通过暴雨排水口部署HOBO Pendant G数据记录仪（HOBO Pendant G data loggers）。2019年7月至2021年11月间，由本地利益相关方与研究人员组成的团队完成4次部署，对该方法的可行性进行验证。全部部署中共计22台传感器成功完成数据采集，其中15台传感器监测到洪涝事件。传感器平均记录到13.58次淹没事件，排水口平均在部署时长的12.07%时间内处于被淹没状态。所监测到的淹没事件与本地美国国家海洋和大气管理局（National Oceanic and Atmospheric Administration）的监测数据相吻合…… 本研究团队包含基韦斯特市政雇员、东北大学研究人员以及美国海军学院研究人员，他们采用HOBO Pendant G数据记录仪在基韦斯特开展洪涝数据采集工作。该记录仪可同步记录三维加速度与角位移（倾斜角度），从而实现对传感器三维运动特征的精准表征。针对轻度洪涝（nuisance flooding），当水位上升时，漂浮的传感器朝向发生改变，引发角位移与承受重力加速度的轴向发生变化，因此可通过监测加速度与倾斜角度记录局地洪涝事件。 研究团队选择暴雨排水口作为传感器部署点位，此处既为公众可自由访问的区域，同时易发生频繁淹没，且可为传感器部署提供固定依托点位。结合既往洪涝事件资料与本地专业经验，研究团队共计选定14个部署点位，每个点位均设有可供公众访问的暴雨排水口用于挂载记录仪。研究团队开展了…… 所有数据文件均通过HOBOware v3.7.21导出为.csv格式，数据分析代码基于RStudio v1.4.1717编写完成。 # 基于美国佛罗里达州基韦斯特的HOBO Pendant G数据记录仪捕获局地轻度洪涝事件 # 利益相关方主导的传感器部署：表征佛罗里达州基韦斯特的轻度洪涝淹没范围与持续时间 本研究测试了一种采用低成本加速度计的新型部署方案，通过暴雨排水口部署HOBO Pendant G数据记录仪，在美国佛罗里达州基韦斯特开展局地洪涝监测。2019年7月至2021年11月间，由本地利益相关方与研究人员组成的团队完成4次部署，对该方法的可行性进行验证。全部部署中共计22台传感器成功完成数据采集，其中15台传感器监测到洪涝事件。 ## 数据与文件结构说明 研究人员通过HOBOware v3.7.21导出三维总加速度与各轴倾斜角度数据，保存为.csv格式文件后上传至RStudio v1.4.1717进行处理。通过x轴与z轴的倾斜角度识别传感器记录洪涝事件的时刻。本次研究生成了一个.csv文件……