基于实测光谱的海河悬浮物浓度反演研究

悬浮物浓度是评价水质优劣的重要指标之一。以天津滨海新区海河为研究区域,进行光谱数据测量和水体样本采集,并在实验室进行水质参数提取,得到归一化光谱反射率和光谱一阶微分数据。然后对光谱测量数据和悬浮物浓度实测值进行相关性分析,发现896 nm归一化光谱反射率和光谱反射率比值(R_(896)/R_(546))与悬浮物浓度相关性较好。最后,分别建立单波段、波段比值和一阶微分函数拟合模型,进行对比分析。结果表明,基于R_(896)/R_(546)的二次多项式模型拟合效果最好,方差齐性检验(F)值也是最高的,可用于该地区水体的悬浮物浓度反演和预测。

Study on the Inversion of Suspended Solids Concentration in Haihe River based on the Measured Spectra

Suspended solids concentration is one of the important indexes of water quality evaluation. In this paper, the section of Haihe River in Tianjin Binhai New Area was taken as the research area. First of all, the measured spectral data and water samples were collected from the Haihe River. And the normalized spectral reflectance and spectral first order differential data through extracting concentration of water quality parameters were obtained in the laboratory. Then the correlation between the spectral data and the measured suspended matter concentration were analyzed. It was found that the normalized spectral reflectance of 896 nm and spectral reflectance ratio of R₈₉₆/R₅₄₆ had good correlation with suspended solids concentration. Finally, the single-band model, the band ratio model and the first-order differential function-fitting model were established respectively and analyzed. The results showed that the quadratic polynomial model of R₈₉₆/R₅₄₆ was the best simulation model and F-test was the highest. It is suitable for the inversion and prediction of the suspended matter concentration in hyperspectral data in the Haihe River.