广东水利水电Issue(11)：41-48,69,9.
基于Sentinel-2影像的流溪河流域代表性水库有机污染反演与时空分析
Retrieval and Spatiotemporal Analysis of Organic Pollution in the Representative Reservoirs of Liuxi River Basin Using Sentinel-2 Imagery
史清丽 1杨俊颖2
作者信息
- 1. 广东省水利电力勘测设计研究院有限公司,广州 510170
- 2. 中山大学 地理科学与规划学院,广州 511400||广东省水环境遥感监测工程技术研究中心,广州 510275
- 折叠
摘要
Abstract
Reservoir is crucial sources of drinking water,and the Permanganate index(CODMn)is a key index for measuring the degree of organic pollution in waters.Fine-scale monitoring of CODMn in reservoirs can provide critical data support for reservoir water quality protection and management.This study focuses on three reservoirs in Liuxi river basin(Liuxihe reservoir,Huanglongdai reservoir,and Jiuwantang reservoir).By integrating Sentinel-2 imagery and surface monitoring station water quality data,a support vector machine(SVM)retrieval model for reservoir CODMn was developed.This model was used to estimate the CODMn in the three reservoirs from 2017 to 2024.The results demonstrate that the proposed CODMn retrieval model achieved high accuracy,with R2 of 0.72.The dynamic distribution revealed that all three reservoirs generally exhibited a"low-high-low"trend in terms of intra-annual variation,which is closely related to regional hydrological factors such as temperature and precipitation and algae seasonal growth.In terms of inter-annual variation,Jiuwantang has the highest average annual CODMn among three reservoirs,and reaches the highest in April,which may be attributed to the topographic characteristics of reservoir upper area and pollution sources distribution around reservoir.The research can provide technical reference for reservoir water quality management and pollution control.关键词
CODMn/流溪河水库/黄龙带水库/九湾潭水库/支持向量机/遥感反演Key words
CODMn/Liuxihe Reservoir/Huanglongdai Reservoir/Jiuwantang Reservoir/SVM/remote retrieval分类
环境科学引用本文复制引用
史清丽,杨俊颖..基于Sentinel-2影像的流溪河流域代表性水库有机污染反演与时空分析[J].广东水利水电,2025,(11):41-48,69,9.
