复杂海湾水质预测中油粒子模型的寻址优化法

近年来，随着海洋活动的持续增多，海上溢油事故频频发生，油粒子模型在溢油事故中的应用也越来越广泛。传统的油粒子模型对于粒子在网格中的定位多采用面积法，这虽然能准确定位每一个粒子，但对于粒子数较多的模型，模型运算时间会大大增加。针对这一缺陷，本文对传统油例子模型进行了修正，采用了一种新的追踪定位法，提出了栅格法技术，通过构建一套虚拟的、横纵精度可调整的规则网格系统，实现油粒子位置的快速判别，同时，为了避免在复杂海湾中该方法油粒子穿越结构物的情况，增设了一个判别指标，对油粒子进行限制。本文构建了一个具有多个防波堤的复杂海湾案例，通过虚拟栅格法在此案例中的应用证明了该方法的可行性与合理性。

Addressing optimization method of oil particle model in complex bay water quality prediction

In recent years, with the continuous increase of marine activities, marine oil spill accidents have occurred frequently, and the application of oil particle models in oil spill accidents has become more and more widespread. The traditional oil particle model uses the area method for the positioning of particles in the grid. Although this can accurately locate each particle, for models with a large number of particles, the model calculation time will increase significantly. In response to this shortcoming, this article modified the traditional oil example model, adopted a new tracking and positioning method, and proposed the grid method technology. By constructing a virtual regular grid system with adjustable horizontal and vertical accuracy, Realize the rapid discrimination of the position of oil particles. At the same time, in order to avoid the situation where oil particles pass through structures in complex bays, a discrimination index is added to limit the oil particles. In this paper, a case of a complex bay with multiple breakwaters is constructed, and the application of virtual grid method in this case proves the feasibility and rationality of the method.