One of the most important parameters for the proper functioning of an aquaculture tank is water quality. The survival and healthy growth of fish depends on it. The main factors affecting water quality are the remains of food and feces of fish which form cohesive particles called flocs that are kept within the tank or in the modules of the recirculating aquaculture system (RAS). Through the application of non-invasive optical techniques such as particle tracking velocimetry (PTV) it was possible to experimentally characterize the particles from aquaculture tanks obtaining diameters and settling velocity distribution, which allowed estimating the effective density of the flocs. With these parameters, the discrete phase model (DPM) was applied using computational fluid dynamics (CFD) to estimate the position and velocity of the particles within a prototype tank with geometry that promotes hydrodynamics suitable for particles sedimentation while maintaining the conditions for fish growth. Through an experimental validation it was verified that by having a tank with circular geometry, central settler made of concentric cylinders, perimeter gratings and outlet spillway cone, it is possible to achieve an efficiency of 77.91–90% of particles sedimentation not exceeding 1 h in the process. Thus, through computer simulation coupled with experimental validation, it was possible to establish geometric parameters for the design of aquaculture tanks with self-cleaning characteristics under the sustainable scheme of water recirculation and reuse.

水产养殖池正常运行的最重要参数之一是水质。鱼类的生存和健康成长有赖于此。影响水质的主要因素是食物残渣和鱼的粪便，它们形成称为絮凝物的粘性颗粒，这些颗粒被保存在水箱内或循环水产养殖系统 (RAS) 的模块中。通过应用粒子跟踪测速 (PTV) 等非侵入式光学技术，可以通过实验表征水产养殖池中的粒子，获得直径和沉降速度分布，从而可以估算絮凝物的有效密度。有了这些参数，使用计算流体动力学 (CFD) 应用离散相模型 (DPM) 来估计原型水箱中颗粒的位置和速度，其几何形状促进适合颗粒沉降的流体动力学，同时保持鱼类生长的条件。通过实验验证，证实通过具有圆形几何形状的水槽、由同心圆柱体制成的中央沉降器、周边格栅和出口溢洪道锥体，可以在不超过 1 小时的时间内实现 77.91–90% 的颗粒沉降效率过程。因此，通过计算机模拟与实验验证相结合，可以在水循环再利用的可持续方案下，建立具有自清洁特性的水产养殖池设计的几何参数。