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摘要： 坝区河流悬浮物浓度监测对于评估水利水电工程对河流水质影响具有较大的意义。HJ\|CCD重返周期短、空间分率高等优点,应用于漫湾这种中小尺度坝区水体悬浮物浓度监测有着重要的现实意义。大气校正采用暗像元、FLAASH以及QUick Atmospheric Correction(QUAC)几种常见的基于图像的大气校正方法。大气校正结果表明:暗像元法效果较好,其第2波段和第3波段的平均相对误差分别为16.1%和17.9%。然后,应用其大气校正较好的波段构建适用于研究区的悬浮物浓度反演模型。结果表明,该模型的决定系数为0.92,均方根误差(RMSE)为4.83 mg/L,平均相对误差为33.1%。最后,将此反演模型应用于2014年影像质量较好的HJ\|CCD数据上,得到了其悬浮物浓度空间分布图,反映了漫湾坝区附近的悬浮物浓度的变化规律。 关键词： HJ-CCD;  悬浮物浓度;  大气校正;  暗像元;  漫湾坝区     Abstract: It has a great significance in monitoring the suspended matter concentration of dam rivers to evaluate the impact of water conservancy and hydropower project on the water quality.The image of HJ-CCD has a high time and space resolution that apply to monitor the water quality of river near the Manwan Dam which is a kind of small and medium scale reservoir has greater practical significance.The atmospheric correction method is used the dark-object subtraction,FLAASH and QUick Atmospheric Correction (QUAC) which based on the satellite image for the atmospheric correction .Through comparing the atmospheric correction effect,the dark-object subtraction method has achieved a good result that the average relative error of band 2 and band 3 are 16.1% and 17.9% respectively,then we used the bands which has a good quality in atmospheric correction to construct a suitable inversion model for suspended matter concentration and the result shows that the decision coefficient of this model is 0.92,the root mean square error (RMSE) is 4.83  mg/L and the average relative error is 33.1%,then we used this model to apply to the images which have a good image quality and covers of the full year of 2014 and got the space distribution of suspended matter concentration and it reflects the change of suspended matter concentration near the Manwan Dam.

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