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基于冬夏两季太湖50个采样点的散射、吸收系数,在假定水体混合均匀、无非弹性散射及内光源的情况下,利用多次散射模式模拟了冬夏两季太湖离水辐亮度贡献的深度廓线分布及相同离水辐亮度贡献之和情况下的深度分布。结果表明,由于冬夏两季风浪作用及水体中藻类浓度的差异,各层离水辐亮度贡献之和(自表层向下累加)达到99.5%,时在各采样点深度具有明显的不同。夏季梅梁湾和竺山湾最小,湖心开阔区及贡湖湾次之,太湖东南部最大,且在东太湖及西山的部分区域,底质反射的贡献不可忽略;冬季该深度基本均小于水深,无需考虑底质反射,且梅梁湾、竺山湾、西部沿岸、贡湖湾、东太湖及西山附近深度相对较大,但不超过450 mm。夏季影响该深度的因子主要是悬浮颗粒物及叶绿素,而冬季主要是悬浮颗粒物。内陆水体光学特性在空间上的非均匀分布,决定了不同深度处因散射引起的向上辐射对离水辐亮度贡献在空间上的不同,耦合离水辐亮度贡献廓线分布对提高二类水体水质参数的遥感有着重要意义。
Based on the scattering and absorption coefficients of 50 sampling points in Taihu Lake in winter and summer, using the multiple scattering model to simulate the depth profile of Taihu Lake radiation contribution in winter and summer under the assumption of uniform water mixing, non-elastic scattering and internal light source, Line distribution and the same from the contribution of water radiance and the depth distribution of the case. The results show that the sum of the contribution of each layer to the radiance of the water (accumulated downward from the surface) reaches 99.5% due to the effects of the wind and waves in winter and summer and the concentration of algae in the water body. There is a clear difference in the depth of each sampling point. In summer, Meiliang Bay and Zhushan Bay are the smallest, followed by the open lake area and Gonghu Bay, and the largest in southeastern Taihu Lake. The contribution of sediment reflection can not be neglected in the eastern Taihu Lake and some parts of Xishan. The winter depth is basically less than Depth of water does not need to be considered for sediment reflection, and the depths of Meiliang Bay, Zhu Shan Bay, the western coast, Gonghu Bay, East Taihu Lake and Xishan are relatively large but not exceeding 450 mm. The main factors affecting the depth in summer are suspended particulates and chlorophyll, while in winter, suspended particulates are the major pollutants. The non-uniform spatial distribution of optical properties of inland water bodies determines the spatially different contribution of upward radiation caused by scattering at different depths to the contribution to water radiance. Remote sensing of water quality parameters is of great significance.