中文摘要：

多重线性回归( MLR )方法被使用确定网的效果加热流动( NHF )，网络淡水流动( NFF )和风基于简单海洋数据吸收(苏打)在华南海( SCS )的混合的层深度( MLD )上强调数据集。MLD 的时间空间的分布，快活流动(联合 NHF 和 NFF ) 并且 SCS 的风压力被介绍。然后使用一个海洋的垂直混合模型，在在一样的起始的条件下面的某个时间以后的 MLD 但是边界条件(三个因素) 的各种各样的对被模仿。把 MLR 方法用于结果，哪个的回归方程为在模仿的 MLD 和三个因素之间的关系建模被计算。方程显示当 NHF 是否定的时，它是加深的混合的层的主要司机；并且当 NHF 是积极的时，当 NFF 有最少的效果时，风压力比 NHF 的起了一个更重要的作用。当 NHF 是积极的时，风压力， NHF，和 NFF 的相对量的效果是大约 10， 6 和 2。上述结论被用于解释在 SCS 并且这样的 MLD 的时间空间的分布证明了有效。

英文摘要：

Multiple linear regression （MLR） method was applied to quantify the effects of the net heat flux （NHF）, the net freshwater flux （NFF） and the wind stress on the mixed layer depth （MLD） of the South China Sea （SCS） based on the simple ocean data assimilation （SODA） dataset. The spatio-temporal distributions of the MLD, the buoyancy flux （combining the NHF and the NFF） and the wind stress of the SCS were presented. Then using an oceanic vertical mixing model, the MLD after a certain time under the same initial conditions but various pairs of boundary conditions （the three factors） was simulated. Applying the MLR method to the results, regression equations which modeling the relationship between the simulated MLD and the three factors were calculated. The equations indicate that when the NHF was negative, it was the primary driver of the mixed layer deepening; and when the NHF was positive, the wind stress played a more important role than that of the NHF while the NFF had the least effect. When the NHF was positive, the relative quantitative effects of the wind stress, the NHF, and the NFF were about i0, 6 and 2. The above conclusions were applied to explaining the spatio-temporal distributions of the MLD in the SCS and thus proved to be valid.