机构地区: 中国科学院南京地理与湖泊研究所
出 处: 《湖泊科学》 2008年第3期375-379,共5页
摘 要: 假设2004年10月太湖水体的吸收系数和遥感反射比的测量误差为0,利用生物光学模型,通过优化算法,在光学深水区模拟获得水体的后向散射系数,然后通过后向散射概率和颗粒物后向散射系数之间的定量关系,获得水体中可能真实的颗粒物后向散射概率.结果表明,太湖水体的颗粒物后向散射概率不是一个定值,可以表示为波长的二次函数,在442、488、532、589、676和852nm处分别为0.017、0.017、0.027、0.033、0.054和0.094,均值为0.041,标准偏差为0.030. We assume that the measurement errors of absorption coefficient and remote sensing reflectance are zero in October 2004, Lake Taihu. Then we can employ the optimization algorithm to simulate the backscattering coefficient by the most appropriate bio-optical model especially in the optically deep waters, where the bottom has no influence on remote sensing reflectance. Finally, the possibly real backscattering probability of suspended particulate matter may be approximately calculated by the quantitative relationship between the tested backscattering probabilities and their corresponding backscattering coefficients of suspended particulate matter. The results show that the backscattering probability of suspended particulate matter is not a constant and can be expressed as a quadratic function of wavelength, and the values are 0.017, 0.017, 0.027, 0.033, 0.054 and 0.094 at 442,488, 532, 589, 676 and 852 nm, respectively; with a mean of 0.041±0.030.