【摘要】 遥感是目前水质环境监测的重要方法,其中水体悬浮物的监测主要针对泥沙成分进行,而针对矿区水域煤粉含量的监测研究较少。文中利用便携式光谱仪测试了不同煤粉浓度水样的可见光-近红外光谱,分析了光谱特征与煤粉浓度之间的关系,发现煤粉含量对水的光谱反射率有很大影响,即随着煤粉浓度的增大,水的光谱反射率逐渐减小;不同煤粉浓度的水样均在740 nm波段处存在光谱吸收特征,且吸收深度与煤粉含量存在密切关系。基于此,建立了光谱吸收指数(SAI)与煤粉浓度之间的线性模型,以此作为水体煤粉浓度的遥感反演模型。模型验证结果表明,煤粉浓度在200~700 mg/L,模型具有较高的反演精度,其相对误差平均为6.3%。研究结果为煤矿区水质监测提供了新的思路。更多还原

【Abstract】 Recently,remote sensing had become a significant method to monitor the quality of water,monitoring of water suspension was conducted aiming at the component of the sediment,and there was little research on the monitoring of pulverized coal content in the mine area. In the paper,visible and near-infrared spectrums of various pulverized coal concentration water samples were tested using the portable spectrometer,the relationships between the spectral characteristics and the pulverized-coal concentration were analyzed,it was found that the pulverized coal content had a great influence on the spectral reflectance of water. With the pulverized-coal concentration increasing,the spectral reflectance of samples was gradually reduced,while the water samples with different pulverized coal concentrations had the spectral absorption characteristics at 740 nm,and the depth of absorption and coal content was closely related. On the basis of the above analyses,a linear model between the spectral absorption index( SAI)and the pulverized coal concentration was established as a remote-sensing inversion model for the content of pulverized coal in water body. Model validation results showed that the model had high inversion accuracy when the pulverized coal concentration was 200-700 mg/L,and the average relative error was 6. 3%. The results provided a new idea for the water quality monitoring in coal mine area.更多还原