基于Sentinel-3OLCI的查干湖水质参数定量反演

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摘要通过2020~2021年5次对查干湖实地采集87个水体样品,测定水质参数,并同步匹配经Acolite大气校正后的Sentinel-3OLCI(OLCI),结合412~885nm遥感反射率(R_rs)与支持向量机(SVM)算法、经验算法以及半分析算法构建查干湖悬浮物(TSM)、浊度(Turb)、透明度(SDD)以及叶绿素(Chl-a)高精度反演模型,通过模型精度的对比,遴选出SVM模型并据此模型反演查干湖2017-2021年上述4种水质变化,分析其对降雨和风速的动态响应.结果表明:(1)实测TSM与Turb之间呈现显著正相关(P<0.01),相关系数为0.93;两者与SDD均呈现显著负相关(P<0.01),相关系数分别为0.71, 0.73;(2)TSM、Turb、SDD、Chl-a反演模型决定系数分别为0.85,0.91,0.93,0.85;且误差分析RMSE值分别为8.75g/mL,10.95FNU,2.11cm,3.64μg/L;MAE值为5.99g/mL,6.86FNU,1.04cm,2.19μg/L;(3)查干湖水质参数年际分布特征呈动态下降趋势,于2020年TSM与Turb达到峰值;季节分布特征结果显示台风过境后(2020年9月),TSM与Turb浓度增加1.4倍;(4)风速对查干湖TSM、Turb呈现正相关,决定系数分别为0.79,0.45.通过长时间尺度上遥感监测查干湖水体的时空格局变化,分析其变化特征与规律,为区域水环境的生态保护与资源合理利用提出有效建议.

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关键词 ：查干湖, Sentinel-3, 透明度, 悬浮物, 浊度, 叶绿素

Abstract：Eighty-seven samples were collected from Lake Chagan during 2020~2021. And Sentinel-3OLCI (The Ocean and Land Color Imager, OLCI) imagery was acquired and corrected by Acolite atmospheric processor. Considering the remote sensing reflectance at 412~885nm, the support vector machine (SVM) algorithm, empirical algorithm and semi-analytical algorithm were used to develop algorithms for water quality assessment. Because of its best performance, SVM was further used to acquire the tempo-spatial variations in water qualities (as well as precipitation and wind speed) between 2017 and 2021. The results showed that:(1) there was a significant positive correlation (r=0.93, P<0.01) between TSM and Turb, and significant negative correlations (r=0.71 and 0.73, P<0.01) between them with transparency, respectively; (2) the R² of model performances for the TSM, Turb, SDD and Chl-a were 0.85, 0.91, 0.93, 0.85, respectively, with low RMSEs (8.75g/mL, 10.95FNU, 2.11cm and 3.64mg/L) and MAEs (5.99g/mL, 6.86FNU, 1.04cm and 2.19mg/L, respectively); (3) the interannual distribution characteristics of water quality parameters in Lake Chagan showed a dynamic decreasing trend, with TSM and Turb peaks in 2020, there was 1.4-fold increase in TSM and Turb concentrations after typhoon transit (September 2020); (4) the wind speed had an essential effect on the TSM and Turb (R²=0.79 and 0.45, P<0.01). Our results imply that an understanding of the tempo-spatial variabilities of typical water qualities in Lake Chagan by means of a long-term remotely sensed monitoring can provide feasible suggestions for the ecological protection of the regional water environment management.

Key words： Chagan Lake Sentinel-3 transparency total suspended matter turbidity Chlorophyll-a

收稿日期: 2022-09-19

PACS:	X171
	X87

基金资助:吉林省科技发展计划重点研发项目(20220203024SF);国家自然科学基金资助项目(42171374,42201414);吉林省青年科技人才托举工程(QT202017);吉林省省院合作项目(2021SYHZ0002);吉林省发展和改革委员会项目(2021C044-2);吉林省生态环境遥感大数据重点实验室(YDZJ202102CXJD023);吉林省高校科技与社科“十四五”科研规划项目(JJKH20210290KJ)

通讯作者: 李思佳,助理研究员,lisijia@iga.ac.cn E-mail: lisijia@iga.ac.cn

作者简介: 陈方方(1996-),女,安徽安庆人,东北师范大学硕士研究生,主要从事水色遥感研究.发表论文1篇.chenff821@nenu.edu.cn.

引用本文:

陈方方, 王强, 宋开山, 李思佳, 徐世琦, 杨倩. 基于Sentinel-3OLCI的查干湖水质参数定量反演[J]. 中国环境科学, 2023, 43(5): 2450-2459. CHEN Fang-fang, WANG Qiang, SONG Kai-shan, LI Si-jia, XU Shi-qi, YANG Qian. Quantitative inversion of water quality in Lake Chagan using Sentinel-3OLCI imagery. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(5): 2450-2459.

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