CN111460724A - Dynamic simulation method for calculating abundance of moon jellyfishes - Google Patents

Dynamic simulation method for calculating abundance of moon jellyfishes Download PDF

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CN111460724A
CN111460724A CN202010317230.6A CN202010317230A CN111460724A CN 111460724 A CN111460724 A CN 111460724A CN 202010317230 A CN202010317230 A CN 202010317230A CN 111460724 A CN111460724 A CN 111460724A
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aurelia
growth
ecological
jellyfish
abundance
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CN111460724B (en
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李志成
张广跃
聂红涛
魏皓
宋贵生
王一聪
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Tianjin University
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    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
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    • A01K61/20Culture of aquatic animals of zooplankton, e.g. water fleas or Rotatoria

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Abstract

The invention relates to a dynamic simulation method for calculating the abundance of aurelia aurita, which comprises the following steps of simulating an oceanic physical ecological field by adopting an ROMS region oceanic physical ecological coupling mode, outputting a temperature field, a flow field and ecological variables required by the aurelia aurita, calibrating an individual energy growth equation of the aurelia aurita and an jellyfish stage by combining a laboratory culture aurelia growth data 'targeting method', adding an aurelia aurita individual growth parameter session process in an L TRANS particle tracking mode, setting the generation condition and the migration rate of the aurelia aurita, driving an improved L TRANS particle tracking mode by taking the temperature field, the flow field and the ecological variables required by the aurelia aurita output by the ROMS mode as input quantities, and simulating the whole growth activity process including the generation, the growth of the aurelia aurita and the migration along with the water flow in real time to obtain the abundance data of the aurelia aurita.

Description

Dynamic simulation method for calculating abundance of moon jellyfishes
Technical Field
The invention belongs to the field of marine science, and particularly relates to a dynamic simulation method for calculating the abundance of moon jellyfishes.
Background
The jellyfish is used as a colloidal zooplankton, can regulate and control a planktonic community structure, plays a certain negative role in the process of transferring energy from a primary producer to high-nutrition-level fishes, is one of important functional groups of a marine ecosystem, and occupies an important position in the marine ecosystem, can cause a series of economic and social problems when the jellyfish is gathered or erupted in a certain specific season and a specific sea area in a large amount, can cause a series of economic and social problems that a large amount of jellyfish gushes into a coastal power plant to block a generator set cooling water System and interfere with the normal operation of the power plant, can block and damage a net, seriously affect the fishing industry capture efficiency, can cause beach pollution and possibly sting tourists when the large amount of jellyfish appears in a sea water bath field, can affect the normal operation of the hydrodynamic beach sea marine industry, can eat eggs and young fishes, can cause loss to the aquaculture industry, can solve a sea water burst mechanism urgently, wherein a sea jellyfish is a large number model for causing disasters, is an important marine physical phenomenon, a numerical model for describing the ocean physical phenomenon, and a numerical value of ocean tracking, a sea tracing, an ocean environmental and a sea environmental research, a marine environmental and environmental pollution-based on-environmental research, a marine environmental and environmental research method for providing a marine environmental research, a remote ocean environmental simulation, a marine environmental and environmental research method for simulating ocean environmental research for researching a marine environmental pollution-based on-by taking a remote ocean environmental simulation model, a marine environmental-by an ocean environmental-model-environmental-based offshore-environmental.
Disclosure of Invention
In view of the above, the invention provides a dynamic simulation method for calculating the abundance of aurelia aurita, which aims to help analyze the season and the annual change rule of the abundance of aurelia aurita and explore the aequora outbreak mechanism. The technical scheme of the invention is as follows:
a dynamic simulation method for calculating the abundance of aurelia includes the following steps:
step 1, simulating a marine physical ecological field by adopting a ROMS regional marine physical ecological coupling mode, and outputting ecological variables required by a temperature field, a flow field and a moon jellyfish.
Step 2, calibrating an individual energy growth equation of the moon jellyfish saucer-shaped body and the jellyfish stage by combining the laboratory culture moon jellyfish growth data 'targeting method';
step 3, adding a growth parameter session process of the aurelia individual in an L TRANS particle tracking mode, setting a condition for generating the aurelia and a migration rate, driving an improved L TRANS particle tracking mode by using a temperature field, a flow field and ecological variables required by the aurelia output by an ROMS mode as input quantities, and simulating the whole growth activity process including the generation and growth of the aurelia dished body into the jellyfish and the migration along with the water flow in real time to obtain data of the abundance of the aurelia for analyzing the season and the change rule of the annual period of the abundance of the aurelia.
Further, the ecological variable required by the aurelia aurita in the step 1 is the concentration of phytoplankton. And 2, culturing growth data of the aurelia aurita in the laboratory to obtain the dry weight of the aurelia aurita dish-shaped body under different bait concentrations and the ingestion rate of the aurelia aurita in different bait concentrations.
The technical scheme provided by the embodiment of the invention has the beneficial effects that:
the dynamic simulation method for calculating the abundance of the aurelia aurita simulates the growth and development of the lunelia aurita in the stage from the saucer to the jellyfish under the influence of factors such as temperature, bait, flow field and the like and the process of clustering and scattering of aurelia aurita jellyfish seeds, is not only beneficial to analyzing the season and the annual change rule of the abundance of the aurelia aurita, but also provides support for exploring the mechanism of the outbreak of the aurelia aurita.
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FIG. 1 is a dynamic simulation method for calculating the abundance of aurelia.
FIG. 2 Bohai yellow sea moon jellyfish population dynamic simulation result diagram
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the following practical examples are illustrated and further detailed description is provided in conjunction with the accompanying drawings.
A dynamic simulation method for calculating the abundance of aurelia comprises the following steps:
1. regional marine mode (ROMS): the ROMS is a three-dimensional original equation mode which adopts a free surface, static force assumption, sigma coordinates and a curve orthogonal grid. The ocean mode is widely applied to offshore hydrodynamic simulation research in China at present. Through web siteshttps://www.myroms.org/Its code can be obtained. The temperature field, the flow field and the required ecological parameters (phytoplankton concentration) for calculating the abundance of the moon jellyfish can be output by utilizing the ROMS physical ecological coupling mode.
2. Individual energy growth equations for moon jellyfish dishes and jellyfishes according to Uye et al in journal of Plankton Research published in the publication of biological, feeding, reproduction and growth, and of carbon bucket of the chromatography of the Australia autilia in the Inland of Japan and
Figure BDA0002459894250000023
the publication Feeding, bioenergetics and growing in the commonest.
Utilizing collected experimental growth data of aurelia aurita, and utilizing "target-shooting method" to calibrate growth k of aurelia aurita dished bodye1、ke2、ke3、ke4、ke0.006, 0.066, 0.163, 11.6 and 0.75, respectively. The dish stage growth equation is:
Figure BDA0002459894250000021
in the formula (1), DWe+1The dry weight (mg) of the moon jellyfish saucer at the next time; DW (DW)eAs disc dry weight (mg); 0.85 is the ratio of assimilation of the dish; t is temperature (. degree. C.); 0.22 is an index of the influence of the dry weight of the aurelia plate on the feeding rate;
Figure BDA0002459894250000022
the ratio of the dry weight of the aurelia aurita to the carbon content is shown; csAs bait-small phytoplankton concentration (mgC L)-1);ClAs the concentration of large phytoplankton as bait (mgC L)-1) (ii) a The temperature for the growth of the plate-shaped body is considered to be suitable at 20 ℃;
Figure BDA0002459894250000031
is the conversion relationship between the dry weight consumption of the plate and the oxygen consumption of respiration; t is the time interval (in days).
Utilizing collected laboratory growth data of moon jellyfish to ratify growth k of Bohai yellow sea moon jellyfish by using' target shooting methodm1、km2、km3、km4. 1.24, 0.048, 0.17 and 13, respectively. The growth equation at the jellyfish stage is:
Figure BDA0002459894250000032
in the formula (2), DWm+1The dry weight (mg) of the mother body of the aurelia at the next moment; DW (DW)mAs the dry weight of the precursor (mg); 0.65 is the rate of assimilation of the water matrix; 0.5 is an index of influence of the dry weight of the aurelia jellyfish on the feeding rate; 0.8 is the preference rate of the large-scale phytoplankton as bait; considering the temperature suitable for the growth of the water parent body at 25 ℃; the remaining parameters have the same meanings as in formula (2).
The L TRANS particle tracking model is a three-dimensional offline particle tracking model by the fourth-order Runge-Kutta method (4)thRunge-Kutta method) calculates the particle motion caused by advection with high precision, realizes the turbulent diffusion of particles by using a random displacement model, and simultaneously realizes the prediction of particle displacement by combining particle behaviours.
The method comprises the steps of simulating a marine physical ecological field by using an ROMS mode, outputting ecological variables required by a temperature field, a flow field and aurelia aurita, determining an individual energy growth equation at the aurelia aurita and an jellyfish stage by combining a laboratory cultured aurelia aurita growth data 'targeting method', adding an aurelia aurita individual growth parameter session process in an L TRANS particle tracking mode, setting the condition and the migration rate of aurelia aurita, driving an improved L TRANS particle tracking mode by using the temperature field, the flow field and the ecological variables required by the aurelia aurita output by the ROMS mode as input quantities, and simulating the whole growth activity process including the production, the growth into the jellyfish and the migration along with the water flow in real time to obtain aurelia data of the aurelia aurita abundance, wherein the data are used for analyzing the season and the change rule of the aurelia aurita abundance.
As shown in fig. 2, the operation of the present invention is as follows:
①, adopting ROMS area marine physical ecological coupling mode to simulate segment marine physical ecological field, outputting temperature field, flow field and ecological variables needed by moon jellyfish;
②, determining the individual energy growth equation of the moon jellyfish saucer and the jellyfish stage by combining the laboratory culture moon jellyfish growth data 'target shooting method';
③, modifying L TRANS particle tracking mode, leading L TRANS particle tracking mode to comprise a moon jellyfish individual energy growth parameterization calculation method, and adding a moon jellyfish generation condition and a migration rate;
④, after receiving the ROMS output result, the improved L TRANS particle tracking mode starts to operate, and simulates the whole growth activity process including the generation of the moon jellyfish dished body, the growth of the moon jellyfish into the jellyfish and the migration along with the water flow in real time to obtain the abundance data of the moon jellyfish, and the output result is analyzed in a drawing way, for example, the abundance of the moon jellyfish in Bohai and yellow sea in 2011 is shown in FIG. 2.

Claims (3)

1. A dynamic simulation method for calculating the abundance of aurelia includes the following steps:
step 1, simulating a marine physical ecological field by adopting a ROMS regional marine physical ecological coupling mode, and outputting ecological variables required by a temperature field, a flow field and a moon jellyfish.
Step 2, calibrating an individual energy growth equation of the moon jellyfish saucer-shaped body and the jellyfish stage by combining the laboratory culture moon jellyfish growth data 'targeting method';
step 3, adding a growth parameter session process of the aurelia individual in an L TRANS particle tracking mode, setting a condition for generating the aurelia and a migration rate, driving an improved L TRANS particle tracking mode by using a temperature field, a flow field and ecological variables required by the aurelia output by an ROMS mode as input quantities, and simulating the whole growth activity process including the generation and growth of the aurelia dished body into the jellyfish and the migration along with the water flow in real time to obtain data of the abundance of the aurelia for analyzing the season and the change rule of the annual period of the abundance of the aurelia.
2. The dynamic simulation method according to claim 1, wherein the ecological variable required by the aurelia aurita in step 1 is phytoplankton concentration.
3. The dynamic simulation method according to claim 1, wherein the laboratory cultured aurelia growth data in step 2 are aurelia dish dry weight at different bait concentrations and aurelia feeding rate at different bait concentrations.
CN202010317230.6A 2020-04-21 2020-04-21 Dynamic simulation method for calculating abundance of moon jellyfishes Expired - Fee Related CN111460724B (en)

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Cited By (1)

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Publication number Priority date Publication date Assignee Title
CN112613239A (en) * 2020-11-24 2021-04-06 国家海洋局北海环境监测中心(中国海监北海区检验鉴定中心) Jellyfish disaster early warning model construction method

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CN110008509A (en) * 2019-03-01 2019-07-12 中国海洋大学 A kind of interior estimates force characteristics analysis method under consideration Background Flow Field

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Publication number Priority date Publication date Assignee Title
CN102524126A (en) * 2012-01-05 2012-07-04 李新书 Method for artificially propagating moon jellyfish
CN107832553A (en) * 2017-11-27 2018-03-23 天津科技大学 Jellyfish disaster forecasting system and forecasting procedure based on Marine ecosystem dynamics
CN110008509A (en) * 2019-03-01 2019-07-12 中国海洋大学 A kind of interior estimates force characteristics analysis method under consideration Background Flow Field

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孙雪: "《近岸海域大型水母来源与迁移路径分析——以红沿河电厂海域为例》", 《海洋与湖沼》 *

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Publication number Priority date Publication date Assignee Title
CN112613239A (en) * 2020-11-24 2021-04-06 国家海洋局北海环境监测中心(中国海监北海区检验鉴定中心) Jellyfish disaster early warning model construction method
CN112613239B (en) * 2020-11-24 2022-05-13 国家海洋局北海环境监测中心(中国海监北海区检验鉴定中心) Method for constructing jellyfish disaster early warning model

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