建立了海水浊度的水色卫星遥感方法,并应用于MODIS水色卫星数据,获取了东中国海浊度分布。首先,根据2011年和2013年四个航次的海洋光学综合科学考察实验获取的现场数据,建立了基于颗粒物后向散射系数的浊度反演算法;然后,利用时空匹配的现场数据,印证了MODIS卫星数据反演浊度的可靠性;在此基础上,刊用2009—2013年MODIS水色卫星资料获取了东中国海12个月的浊度分布,并对影响浊度分布的动力机制进行了分析和探讨。结果表明,东中国海浊度分布在空间上具有很大的差异性,其中近岸高,远岸低。时间上,东中国海区域浊度分布的季节性变化显著,冬季最高,夏季最低,春秋季节属于变化过渡期,冬夏季节进入稳定期。其中,春季下降速度明显高于秋季上升速度。
Based on MODIS satellite data and a new-buih turbidity satellite derived model, spatial and temporal varia- tions of turbidity in the East China Seas are analyzed. Four survey cruises have been conducted in 2011 and 2013. The in-situmeasurements are used to set up the relationship between particle backscattering coefficient and turbidity, while the satellite data matching with the in-situ data are applied to confirm the reliability of the new model. On this basis, turbidity distribution of 12 months in East China Seas are derived from MODIS satellite data from 2009 ~ 2015 and the dynamics are analyzed. It is showed that the turbidity distribution in the East China Seas has great spatial and temporal variations. In space, turbidity is higher in nearshore than far offshore regions. In time, turbidity is highest in winter and lowest in summer, while increasing gradually in spring and decreasing rapidly in autumn.