Simulated flow field environment of the giant mud crab Scylla serrata based on a behavioral model and computational fluid dynamics

Abstract

This study proposes a model for estimating the movement of zoea larvae of the giant mud crab Scylla serrata. The model is based on computational fluid dynamics simulation and a behavioral model. The model was applied to aquaculture tanks to evaluate sinking death and feeding occasions. We considered circular and spraying-type aquaculture tanks, which are used in actual rearing experiments. The results indicated that a calm flow field was suitable for feeding. Upstream flow was required to prevent sinking, and the optimal flow condition differed according to the zoea growth stage. Although an actual growth experiment is usually required to evaluate the growth environment, initial examinations can be conducted on a personal computer. Therefore, we can easily assess flow fields suitable for the growth of giant mud crab zoea larvae. In conclusion, the proposed simulation method is useful for designing aquaculture tanks and rearing operations.