Data-driven mathematical modelling of particle dynamics in opaque fluid flows

使用将惯性粒子动力学简化为弱可压缩流的被动平流或弱可压缩海洋表面流中的非惯性粒子的近似，检查弱可压缩流中两种粒子的弥散。主要目的是从拉格朗日流统计中描述粒子的聚类，使用重要采样方法来进行有效的计算，否则将是难以处理的。

Examining the dispersion of both particles advected by weakly compressible flow, using an either approximation that reduces inertial-particle dynamics to passive advection by a weakly compressible flow or with non-inertial particles in weakly compressible ocean surface flow. The principal aim is characterisation of the clustering of particles from Lagrangian statistics of the flow, using importance sampling methods to allow efficient computation that would otherwise be intractable.