摘要
水浮莲泛滥生长对鉴江流域水生态安全和行洪能力构成严重威胁。本研究结合哨兵2号、高分1号光学影像以及哨兵1号微波影像、无人机航测影像,构建了水浮莲多源遥感协同监测业务模式,并基于水系拓扑关系建立数字水网溯源模型,开展2022—2024年共11期水浮莲动态监测分析。结果表明:2022年4月水浮莲面积达峰值201.11万m^(2),5月清漂后锐减89.1%,面积降为21.96万m^(2),9月清漂后保持1.44万m^(2)以下;2023年4月增长至40.11万m^(2),较2022年同期减少80.1%,清漂后至2024年11月未见水浮莲大规模覆盖,治理效果持续保持。数字水网模型溯源显示,里甲水闸前水浮莲主要源自河林河沿岸及塘札河、下涌子河等水流缓滞支流。本研究验证了多源遥感协同监测与数字水网技术在多云多雨地区水浮莲监测与溯源应用中的优势,为流域统筹科学清漂以及水浮莲灾害长效防治提供技术支撑。
The rampant growth of water hyacinth poses a serious threat to the water ecological security and flood discharge capacity of the Jianjiang River Basin.This study combines the optical images of Sentinel-2 and Gaofen-1,as well as the microwave images of Sentinel-1 and unmanned aerial vehicle(UAV)images,to construct a multi-source remote sensing collaborative monitoring business model for water hyacinth.Based on the topological relationship of the water system,a digital water network traceability model is established to carry out 11 periods of dynamic monitoring and analysis of water hyacinth from 2022 to 2024.The results shows that the area of water hyacinth reached its peak of 2.011 million square meters in April 2022,sharply decreased by 89.1%to 219600 square meters after cleaning in May,and remained below 14400 square meters after cleaning in September;In April 2023,the area increased to 401100 square meters,a decrease of 80.1%compared to the same period in 2022.After the clean-up,there was no large-scale coverage of floating lotus until November 2024,and the treatment effect continues to be maintained.The traceability of the digital water network model shows that the water hyacinth in front of the Lijia water gate mainly originates from the banks of the Helin River and slow flowing tributaries such as Tangzha River and Xiachongzi River.This study validates the advantages of multi-source remote sensing collaborative monitoring and digital water network technology in the monitoring and traceability of water hyacinth in cloudy and rainy areas,providing technical support for the coordinated scientific cleaning of water hyacinth in river basins and long-term prevention and control of water hyacinth disasters.
作者
罗澍然
吉红香
秦雁
郑泳
周子傲
LUO Shuran;JI Hongxiang;QIN Yan;ZHENG Yong;ZHOU Ziao(Guangdong Research Institute of Water Resources and Hydropower,Guangzhou 510635,Guangdong,China;Guangdong Key Laboratory of Hydrodynamic Research,Guangzhou 510635,Guangdong,China;State and Local Joint Engineering Laboratory of Estuarine Hydraulic Technology,Guangzhou 510635,Guangdong,China)
出处
《水利发展研究》
2025年第9期178-185,共8页
Water Resources Development Research
基金
2023年省科技创新战略专项资金科研项目(gdsky2023-04)
广东省重点领域研发计划项目(2020B0101130018)。
关键词
鉴江流域
水浮莲
遥感
动态监测
数字水网模型
Jianjiang River Basin
water hyacinth
remote sensing
dynamic monitoring
digital water network model
