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基于原位高光谱的极高悬浮泥沙浓度监测模型研究

侯峥 侯英卓 邢前国 马永刚 明星 刘昕悦

人民黄河2025,Vol.47Issue(4):28-31,37,5.
人民黄河2025,Vol.47Issue(4):28-31,37,5.DOI:10.3969/j.issn.1000-1379.2025.04.005

基于原位高光谱的极高悬浮泥沙浓度监测模型研究

Investigation of Monitoring Models for Extremely High Suspended Sediment Concentration Based on In-Situ Hyperspectral Data

侯峥 1侯英卓 2邢前国 2马永刚 1明星 3刘昕悦3

作者信息

  • 1. 宁夏回族自治区水文水资源监测预警中心,宁夏 银川 750000
  • 2. 中国科学院 烟台海岸带研究所 海岸带环境过程与生态修复重点实验室,山东 烟台 264003||中国科学院大学,北京 100049
  • 3. 河北大学 物理科学与技术学院,河北 保定 071002
  • 折叠

摘要

Abstract

Suspended sediment concentration(SSC)is a crucial water quality monitoring parameter.Taking the Wangtuan section of Qingshui River in Ningxia as the study area,an SSC inversion model suitable for waters with extremely high suspended sediment concentra-tion was developed based on in-situ hyperspectral data and SSC measurements from August 26 to November 5,2022.Four empirical models were selected for comparison,including single-band model,band difference model,band ratio model and binary linear model.The results in-dicate that for waters with extremely high suspended sediment concentrations,the single-band model performs poorly,with a coefficient of de-termination(R2)of less than 0.25.The band difference,band ratio and binary linear models are able to reduce the impact of noise and im-prove the model's R2.Overall,the band difference model performs the best,with an R2 greater than 0.40 for the model based on the reflectance difference between the 650-720 nm and 560-700 nm bands.Among which,the R687-R685 model achieves the highest R2 value of 0.76.

关键词

原位高光谱/悬浮泥沙浓度/反演模型/宁夏清水河王团段

Key words

in-situ hyperspectral/extremely high suspended sediment concentration/inversion model/Wangtuan section of Qingshui River in Ningxia

分类

水利科学

引用本文复制引用

侯峥,侯英卓,邢前国,马永刚,明星,刘昕悦..基于原位高光谱的极高悬浮泥沙浓度监测模型研究[J].人民黄河,2025,47(4):28-31,37,5.

基金项目

山东省创新技术引导计划项目(YDZX2024021) (YDZX2024021)

宁夏回族自治区重点研发计划项目(2023BEG02052) (2023BEG02052)

中国科学院重点仪器研发项目(YJKYYQ20170048) (YJKYYQ20170048)

人民黄河

OA北大核心

1000-1379

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