[1]王超,管向伟,解清杰,等.基于无人机多光谱成像的镇江市古运河水质反演[J].中国给水排水,2026,42(1):117-124.
　WANGChao,GUANXiangwei,XIEQingjie,et al.Water Quality Inversion of Zhenjiang Ancient Canal Based on UAV Multispectral Imaging[J].China Water & Wastewater,2026,42(1):117-124.
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基于无人机多光谱成像的镇江市古运河水质反演

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第42卷 期数: 2026年第1期 页码: 117-124 栏目: 出版日期: 2026-01-01
Title:
Water Quality Inversion of Zhenjiang Ancient Canal Based on UAV Multispectral Imaging
作者:
王超1， 管向伟2， 解清杰1， 董进波3， 赵文青1， 林华星1， 殷伟庆4
（1.江苏大学 环境与安全工程学院，江苏 镇江 212013；2.中国昆仑工程有限公司，北京 100037；3.江苏满江春城市规划设计研究有限责任公司，江苏 镇江 212008；4.江苏省镇江环境监测中心，江苏 镇江 212004）
Author(s):
WANG　Chao1， GUAN　Xiangwei2， XIE　Qingjie1， DONG　Jinbo3， ZHAO　Wenqing1， LIN　Huaxing1， YIN　Weiqing4
（1. School of the Environment and Safety Engineering， Jiangsu University， Zhenjiang 212013， China； 2. China Kunlun Contracting & Engineering Corporation， Beijing 100037， China； 3. Jiangsu Manjiangchun Urban Planning and Design Co. Ltd.， Zhenjiang 212008， China； 4. Zhenjiang Environmental Monitoring Center of Jiangsu， Zhenjiang 212004， China）
关键词:
河道污染;  水质参数;  反演模型;  无人机（UAV）;  多光谱成像;  镇江市古运河
Keywords:
river pollution;  water quality parameter;  inversion model;  unmanned aerial vehicle (UAV);  multispectral imaging;  Zhenjiang Ancient Canal
摘要:
针对内陆城市微小河道水质难以快速化、全面化监测等问题，以镇江市古运河为研究对象，基于无人机（UAV）多光谱遥感技术，采用UAV搭载多光谱成像仪获取多光谱影像并对水质参数进行同步采集，分析典型城市水体的光谱特征，研究光谱参数与水质参数的相关性，确定特征光谱参数，并建立适用于镇江市古运河水质参数的反演模型。从模型拟合度和误差精度的角度进行分析，基于总氮（TN）、总磷（TP）实测值与模型预测值的对比，进行反演模型的比选；结合最佳反演模型与多光谱影像，绘制镇江市古运河水质参数的空间分布图，实现水质参数浓度的可视化，整体评价水质的污染级别并完成河道污染的源头追溯，同时为水质异常的快速诊断提供理论支撑。
Abstract:
To address challenges such as the difficulty in rapid and comprehensive monitoring of water quality in small urban inland rivers, this study took Zhenjiang Ancient Canal as the research object. Based on the multispectral remote sensing technology of unmanned aerial vehicle (UAV), a multispectral imager mounted on the UAV was employed to acquire multispectral images while simultaneously collecting water quality parameters. The spectral characteristics of typical urban water bodies were analyzed, and the correlation between spectral parameters and water quality parameters was investigated to identify characteristic spectral parameters. An inversion model suitable for water quality parameters of Zhenjiang Ancient Canal was subsequently established. The model was evaluated in terms of fitting performance and error accuracy. By comparing the measured values of total nitrogen (TN) and total phosphorus (TP) with model-predicted values, the optimal inversion model was selected. Integrating the best inversion model with multispectral images, spatial distribution maps of water quality parameters in Zhenjiang Ancient Canal were generated, achieving visualization of water quality concentration. This enabled a holistic assessment of pollution levels and tracing of pollution sources in the river channel, while also providing theoretical support for rapid diagnosis of water quality anomalies.
更新日期/Last Update: 2026-01-01