To provide a new option for the early warning, prevention, and control of the typical disaster-causing organism in the adjacent waters of Daya Bay Nuclear Power Station, an acoustic method, supplemented by a trawl survey and underwater video observation methods, was used to study the dynamics, spatial distribution characteristics, and migration trend of in the survey area from January 11 to 14, 2019. As a result, accounted for more than 99% of the captures collected by trawl samples, along with only a very few jellyfish and fish. Biomass density of estimated by the traditional sweeping area method was significantly higher than that derived from acoustic assessment. They showed a linear regression relationship: depicts the result estimated by the traditional sweeping area method and depicts the result derived from the acoustic assessment). According to in situ acoustic detection, the density of resources fluctuated greatly in different periods (0.56-170.30 m²/n mile²). This showed a general trend of first increasing and then decreasing, with the highest value during 22:30-22:40. In the vertical direction, was mainly distributed in the middle and lower waters at 5.2-7.2 m, and there was a clear downward migration trend from 22:50 to 00:10. In the horizontal direction, the biomass densities of in different transects increased gradually from the inside to the mouth of Daya Bay. Combined with dynamic regulation and the underwater video observations of A. chinensis would migrate into Daya Bay during 19:00-23:00, and then move back to the mouth of Daya Bay after 23:00. To further confirm this inference, in situ acoustic detection experiments should be conducted simultaneously in the adjacent waters of the Daya Bay Nuclear Power Plant and the mouth of Daya Bay, and the biotic and abiotic environmental factors, such as feed organisms, water temperature, salinity, and current among other factors should be considered comprehensively to further explore the driving mechanism of the horizontal migration of In conclusion, compared with traditional investigation methods, the acoustic method has many advantages, such as scientific, efficient, and real-time monitoring. Therefore, it can better meet the practical needs of early warning, prevention, and control of cold source biosafety in the Daya Bay Nuclear Power Plant.