水流参数对物体在水中掉落距离的影响及预测

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中图分类号：TH12 文献标志码：A 文章编号：2097-3853（2025）04-0389-06

Influence and prediction of water flow parameters on fall distance of objects in water

ZHENG Tianqing1，LIN Yixi1，TIAN Zhenheng1，WEI Shengjun²， ZHANG Lu’，WU Jinze’， XU Jixuan 1 （1.Fujian Key Laboratory of Intellgent Machining Technology and Equipment，Fujian Universityof Technology， Fuzhou 350118， China;2.FujianKeyLabratoryof Marine Biological BreedingandHighValue Utlization，FisheriesResearch InstituteofFujian， Xiamen 361013，China）

Abstract：The motion law of seaweed falling from the surface of seato the seafloor has not been well-defined， making it difficult to design appropriate bait holes in botom-sitting caissons used for abalone farming.This study uses a glass botle as the research object and investigates how factors such as water flow velocity，water depth，and the mass of the glass bottle affct the distance of glass bottle falling from water surface to water bottom.It aims touncover the motion lawof the glass botle and develop a predictive model for the falldistance so as to predict the distance of the glass botle falling to the bottom of the water.Findings show that the fall distance increases with water flow velocityand water depth in the retun channel. In contrast，as the mass or tilt angle of the glass bottle increases，the fall distance decreases.The predictive model developed can accurately forecast the distance of glass bottle and seaweed faling from the water surface to water bottom，with an average prediction error of 2.79% and 4.12% ，respectively.

Keywords： water flow parameters； fall distance ; neural network ； abalone farming；bay area

目前鲍鱼养殖技术主要采用筏式吊笼养殖、网箱吊笼养殖、塑胶渔排网箱养殖、底播养殖等技术[1-2]。（剩余7246字）