题目：基于无人机遥感的城市固体废弃物填埋场覆盖物完整性巡检与监控
UAV-based Remote Sensing for Municipal Solid Waste Landfill Cover Integrity Inspection and Monitoring
时间：2023年04月27日周四10：00－11：00
地点：腾讯会议 ID：46313046117
报告人：孙鹏（美国中佛罗里达大学，土木、环境和建筑工程系）
主持人：胡楠（土木工程系）
联席主持人：吴旭树（水利工程系）
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土木与交通学院
2023年04月24日
报告人简介：
孙鹏博士，自2020年起在美国中佛罗里达大学土木、环境和建筑工程系担任结构工程和智慧城市的助理教授。在中佛罗里达大学任职之前，他曾在美国莱斯大学获得了博士学位，并在密歇根大学从事博士后工作。他的主要研究兴趣聚焦于智能传感器和传感系统的设计和开发，致力于服务人和提升未来建筑人居环境中。目前，他将该类研究扩展到基于无人机的遥感技术及其在环境和水资源工程方面的应用上。
Dr. Patrick Sun is an Assistant Professor in Structural Engineering and Smart Cities in the CECE department at the University of Central Florida since 2020. Prior to his appointment at UCF, he obtained his PhD from Rice University and postdoc training from the University of Michigan. He is a passionate researcher for smart sensors and sensing systems, in which he incorporates his scientific and engineering understanding of built environment and people. Now he expands his research into UAV-based remote sensing and its applications in environmental engineering and water resource engineering.
报告摘要：
城市固体废弃物(MSW)填埋场需要定期管理和维护，以确保正常运行和满足环保要求。其中一项要求是监测垃圾填埋气(LFGs)，这些气体从垃圾填埋场覆盖层排放到环境中会导致全球变暖。而另一项要求是监测城市固体废物填埋场覆盖物上的潜在沉降量，以便进行维护。勘测任务需要定期进行（例如，每季度一次），这是一项耗费时间和人力的任务。因此，需要一种更有效的方法来监测垃圾填埋场的表面情况。无人机通常在垃圾填埋场排放中单独被采用，用于监测LFGs排放和填埋场勘测，但很少有相关研究探索和评估多个无人机协同勘测任务。此外，自动检测积水问题以及连带的渗水问题还有待研究。因此，本次讲座主要介绍一种基于无人机的传感方法和数据收集/分析方法，以监测垃圾填埋场并使用多模态传感器融合检测积水问题。研究中所提出的方法已应用于飓风伊恩前后经过佛罗里达州控制点附近的城市固体废弃物填埋场。将所提出的积水指数图与人工调查的积水指数图进行对比研究，取得了令人满意的效果。
Municipal solid waste (MSW) landfills need regular management and maintenance to ensure proper operations and meet the environment protection requirements. One requirement is to monitor landfill gasses (LFGs) which emit from landfill cover into the environment contributing to the global warming. While another requirement is to monitor the potential settlement on MSW landfill covers for maintenance purposes. Surveying tasks are needed to be performed regularly (e.g., quarterly) that are time and labor consuming. Therefore, there is a need for an efficient method to monitor landfill surface conditions. Unmanned aerial vehicles (UAVs) were usually adopted in LFGs emissions and perform landfill surveys as individual tasks and few studies have been reported to achieve multiple UAV surveying tasks synergically. In addition, the automatic detection of water ponding issues yet remains to be studied which may cause water infiltrations. Hence, the study proposes a UAV-based sensing approach and data collection/analysis method to monitor landfill and detect water ponding issues using multimodal sensor fusion. The proposed approach has been applied on a MSW landfill before and after Hurricane Ian which passed near the study location in Florida. The comparative study between the proposed ponding index map and the manual survey shows a satisfactory performance.
