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STUDY ON REMOTE SENSING MODE OF CHEMICAL OXYGEN DEMAND IN THE PEARL RIVER ESTUARY

机译:珠江口化学需氧量遥感模式研究

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Chemical oxygen demand (COD) is a comprehensive assessment index of water pollution. It is the basis to protect water source and prevent pollution by obtaining the data of COD and control the change of COD concentration in time. In this paper, the study area is the Pearl River Estuary. The water quality of the Pearl River Estuary is becoming worse and worse due to the marine environment is constantly destroyed. To gain a better understanding of water quality in the Pearl River Estuary, we obtained the experimental data in-situ including the absorption coefficient of CDOM ( Colored Dissolved Organic Matter ) and COD concentration at 28 stations in the region of the Pearl River Estuary in November 2013 and February 2014. Analyzing the quantitative relationship between COD concentration and the absorption coefficient of CDOM through exploring the mechanism of the influence of COD in water on the spectral absorption features of CDOM. To establish an empirical model for the inversion of the concentration of COD based on Landsat8/OLI images data. The model was applied in the region of the Pearl River Estuary. The correlation coefficient value of the inversion of the constituent is over 0.8. The establishment of the mode based on remote sensing lays a solid foundation for the inversion of the water quality parameters and the assessment of organic pollution in water body.
机译:化学需氧量(COD)是水污染的综合评估指标。它是通过获取COD数据并及时控制COD浓度变化而保护水源和防止污染的基础。本文的研究区域是珠江口。由于海洋环境不断被破坏,珠江口的水质越来越差。为了更好地了解珠江口的水质,我们获得了11月珠江口地区28个站点的原位实验数据,包括CDOM(有色溶解有机物)的吸收系数和COD浓度。 2013年和2014年2月。通过探索水中COD对CDOM光谱吸收特征的影响机理,分析了COD浓度与CDOM吸收系数之间的定量关系。基于Landsat8 / OLI影像数据建立COD浓度反演的经验模型。该模型已在珠江口地区应用。成分反转的相关系数值超过0.8。建立基于遥感的模式为水质参数的反演和水体有机污染的评估奠定了坚实的基础。

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