Early warning method for jellyfish disaster

Abstract

The invention relates to the technical field of marine monitoring and early warning, in particular to an early warning method for jellyfish disasters. The method comprises the following steps: establishing a jellyfish drift path prediction model: data collection and arrangement, meteorological mode research and development, marine physical mode research and development: adopting an ROMS ocean mode to simulate typical sea area hydrodynamic environment elements, jellyfish physical-ecological model research and development, and jellyfish drift path prediction model research and development; then establishing a jellyfish disaster risk level early warning method; then participating data integration and system construction, and researching and developing a jellyfish disaster drift early warning module; and finally carrying out demonstration operation. In the invention, a method based on ensemble forecasting is independently researched and developed, and life habits such as autonomous movement of jellyfish and an emergency drifting ensemble prediction model of foreign jellyfish are considered; the jellyfish disaster risk level early warning method is researched according to indexes such as the type of the disaster jellyfish, the toxicity of the jellyfish and the distribution density of the jellyfish.

Description

technical field [0001] The invention relates to the technical field of marine monitoring and early warning, in particular to an early warning method for jellyfish disasters. Background technique [0002] Under the influence of global changes and human activities, the structure and function of the marine ecosystem have undergone great changes. The frequency and types of large jellyfish disasters have continued to increase, which has seriously affected marine fisheries, coastal industries, coastal tourism and marine ecosystems. . In Norway, jellyfish has been listed as one of the important factors affecting the national economic pillar industries such as aquaculture, fishery and tourism. In Japan, since 2000, the outbreak of giant jellyfish has brought Japan's fishery resources and fishing industry to the brink of collapse. In the Liaodong Bay of Bohai Sea, the southern Yellow Sea and the northern East China Sea, jellyfish outbreaks occurred intensively in 2003, and jellyfis...

AI Technical Summary

Problems solved by technology

However, in the 24-hour continuous trawling of two stations (50 sampling stations) during the large-scale survey voyage of the Yellow Sea in October-November (August-September) in 2006, it was found that the change in the number of jellyfish in the 24-hour continuous survey was not caused by the vertical movement of jellyfish day and night. caused, possibly by changes in the water mass during the trawling survey

During the survey of jellyfish in Jiaozhou Bay from August to September, it was found that the regularity of vertical movement of jellyfish is not obvious. Sand jellyfish in the southern part of the Sea of ​​Japan are mainly distributed in water layers shallower than 40m, and the depth at night is often greater than that during the day. Therefore, different sea areas are different. The vertical migration of jellyfish species is different, which may or may not be related to their phototropism or light intensity, and its mechanism is still unclear. Therefore, an early warning method for jellyfish disasters is proposed to solve the above problems