人民黄河2025，Vol.47Issue(6)：96-102,109,8.DOI:10.3969/j.issn.1000-1379.2025.06.015
基于高分一号的丹江口水库水体浊度反演及其时空变化
Water Turbidity Inversion and Spatial-Temporal Variation of Danjiangkou Reservoir Based on GF-1 Satellite
摘要
Abstract
The Danjiangkou Reservoir serves as the water source for the South-to-North Water Diversion Project and is designated as a nation-al-level water source protection area.The water quality of the reservoir is critical to the water safety of downstream regions and the urban and rural populations along the South-to-North Water Diversion Project.Utilizing 49 GF-1 satellite remote sensing images of the Danjiangkou Res-ervoir from 2020 to 2024 as data sources,and incorporating turbidity data obtained from national control monitoring stations,this study sys-tematically compared and analyzed the inversion accuracy of turbidity by using linear regression,multiple linear regression,XGBoost,random forest and Generalized Regression Neural Network(GRNN)models.The results demonstrate that the GRNN model exhibits a signifi-cant advantage in turbidity inversion.The GRNN model is subsequently applied to rebuild the turbidity distribution in the Danjiangkou Reser-voir over different time periods.The findings indicate that:the turbidity in the study area is generally low,predominantly below 15 NTU,and its distribution follows a Gaussian distribution with a mean(μ)of 3.13 NTU and a standard deviation(σ)of±1.12 NTU.Temporally,tur-bidity values fluctuate,with peaks observed during the winter months.Spatially,localized increases in turbidity are evident in the southwest and northwest regions,influenced by anthropogenic activities and precipitation.关键词
GF-1/浊度/GRNN模型/丹江口水库Key words
GF-1/turbidity/GRNN model/Danjiangkou Reservoir分类
资源环境引用本文复制引用
张克,李春意,丁来中,高彦涛,李玉英..基于高分一号的丹江口水库水体浊度反演及其时空变化[J].人民黄河,2025,47(6):96-102,109,8.基金项目
国家自然科学基金资助项目(41671507) （41671507）
河南省自然科学基金资助项目(252300420282) （252300420282）
河南省高等学校重点科研项目(22B420003) （22B420003）
测绘科学与技术"双一流"学科创建项目(BZCG202301) （BZCG202301）
自然资源部矿山时空信息与生态修复重点实验室开放基金重点项目(KLM202303) （KLM202303）
河南省自然资源厅科研项目(2023-6) （2023-6）
中原科技创新领军人才项目(254000510014) （254000510014）
河南省高等学校学科创新引智基地项目(D23015) （D23015）
