环境工程学报2023，Vol.17Issue(12)：3996-4006,11.DOI:10.12030/j.cjee.202308120
基于无人机高光谱和BP神经网络的城市水体污染监测
Water pollution monitoring based on unmanned aerial vehicle(UAV)hyperspectral and BP neural network
摘要
Abstract
Water pollution is a common issue to most basins in China.Pollution prevention and monitoring of urban water are an arduous and lengthy task.It is a great challenge to conduct water quality monitoring in rivers or urban lakes with large surface areas,unstable water flow,complex surrounding terrain by traditional water quality monitoring and satellite remote sensing for their poor applicability and low accuracy.Unmanned Aerial Vehicle(UAV)-based hyperspectral remote sensing technology has wide coverage and fast data acquisition,and is applicable to urban water pollution monitoring.The present study takes urban waters of Zhuhai City as the research object,and uses UAV hyperspectral data as the data source.By processing the hyperspectral images,a linear model and a Back Propagation(BP)neural network model were established to simulate the optimal mathematical mapping between the combined reflectance of the waveband and the key water quality parameters(chlorophyll a,ammonium,phosphate).The applicability of the models in urban water bodies was demonstrated by actual samples,providing a new method for urban water pollution evaluation and dynamic monitoring.The findings not only provide important technical support for big-data-driven water quality analysis,but also for urban water pollution monitoring using UAV remote sensing technology.关键词
无人机/高光谱/水质监测/BP神经网络/城市水体Key words
unmanned aerial vehicle(UAV)/hyperspectral/water quality monitoring/BP neural network/urban water分类
资源环境引用本文复制引用
冯翠杰,方晨琦,袁亘宇,吴嘉浩,王清华,董春雨..基于无人机高光谱和BP神经网络的城市水体污染监测[J].环境工程学报,2023,17(12):3996-4006,11.基金项目
广东省自然科学基金资助项目(2022A1515110834,2023A1515010958) （2022A1515110834,2023A1515010958）
中山大学大学生创新训练计划项目(202211415) （202211415）
中山大学教学质量与教学改革工程项目(2022-91-820,2021-93-804) （2022-91-820,2021-93-804）
