CN-122022134-A - Water ecological risk management system based on zebra fish population

CN122022134ACN 122022134 ACN122022134 ACN 122022134ACN-122022134-A

Abstract

The invention relates to the technical field of water ecological risk management, and discloses a water ecological risk management system based on zebra fish populations, which comprises a multidimensional monitoring module, an intelligent analysis module and a risk management module. According to the system, the multi-dimensional monitoring module is used for acquiring toxicity test data of the whole life cycle of the zebra fish, ecological monitoring data of the river basin water and pesticide management data, classifying the data to form a data set, the intelligent analysis module is used for covering the whole life cycle of the zebra fish, performing multi-layer unfolding analysis on the toxicity of the individual, population and river basin pesticides to generate toxicity absorption indexes and population toxicity effect indexes, the multi-dimensional evaluation accuracy is high, the intelligent analysis module is used for analyzing the toxicity effect of each pesticide on the river basin water ecology to generate a danger index, the association analysis from the individual toxicity effect to the ecological risk of the population is completed, scientific basis is provided for evaluation and management of the ecological risk of the river basin pesticides, the intelligent analysis module is used for realizing accurate response and scientific management and control of the risks based on three-level threshold and differential management and control measures, and the intelligent management and control efficiency is high.

Inventors

CHEN MIAO
TU WENQING
DENG WENPING
XUE CHENG
WU JIANDAI

Assignees

江西农业大学

Dates

Publication Date: 20260512
Application Date: 20260112

Claims (10)

1. The water ecological risk management system based on the zebra fish population is characterized by comprising a multidimensional monitoring module, an intelligent analysis module and a risk management module; The multidimensional monitoring module is connected with the database to acquire toxicity test data of the whole life cycle of the zebra fish, ecological monitoring data of the river basin water and pesticide management data, and the toxicity test data, the ecological monitoring data of the river basin water and the pesticide management data are classified into a biological data set, an ecological water data set and a pesticide data set; The intelligent analysis module comprises an individual assessment unit, a population assessment unit and a toxicity assessment unit, wherein the individual assessment unit analyzes the toxicity effect of pesticide toxicity on individual zebra fish according to a biological data set to generate a corresponding toxicity absorption index The population evaluation unit is provided with a monitoring period with a fixed duration Combining the water ecological data set, analyzing the toxic effect of pesticide toxicity on the zebra fish population, and generating a corresponding population toxic effect index The toxicity evaluation unit analyzes the toxicity effect of each pesticide on the water ecology of the flow field according to the pesticide data set to generate a corresponding risk index ; The risk management module is provided with a toxicity absorption threshold value with a fixed value Threshold of population toxic effect Threshold of risk And toxicity absorption index Population toxicity index Risk index And outputting corresponding risk management advice.
2. The water ecological risk management system based on the zebra fish population of claim 1, wherein the biological data set comprises a zebra fish sample type, a development stage, a deformity rate, a hatching rate, an autonomous movement frequency average, a survival rate, a body length variation average, an autonomous movement frequency average, a feeding rate average, an autonomous movement speed average, a body length average, a body weight average, an immune cell number average, a metabolic enzyme activity variation average, a gonadal weight average, a sex hormone concentration average, a spawning amount average, a fertilization rate and an organ disease rate, wherein the sample type comprises a toxicity test sample and a blank sample, and the development stage comprises an embryo stage, a larval fish stage, a juvenile fish stage, a sub-adult stage and an adult stage.
3. The zebra fish population-based water ecology risk management system of claim 2 wherein the water ecology data set comprises a number of zebra fish populations in a basin, an average length of survival of the zebra fish populations, a dissolved oxygen concentration, and a nitrite concentration.
4. The water ecological risk management system based on a zebra fish population of claim 3, wherein the pesticide data set comprises a type of pesticide, an inflow rate, a water solubility, and a degradation rate.
5. A water ecology risk management system based on a zebra fish population as recited in claim 4 wherein the toxicity absorption index The calculation flow is as follows: S11, respectively extracting toxicity test sample data and blank control sample data of each development stage of the zebra fish according to a biological data set, carrying out dimensionless treatment, and uniformly mapping all parameters to the same order of magnitude; S12, marking the deformity rate of the toxicity test sample in the embryonic period of the zebra fish as The hatching rate of the toxicity test sample in the embryo period of the zebra fish is recorded as The average value of the autonomous movement frequency of the toxicity test sample in the embryo phase of the zebra fish is recorded as Then the toxicity absorption index of the zebra fish embryo period sample is calculated The expression is as follows: In the formula (i), The malformation rate of the blank control sample in the embryo period of the zebra fish is shown, The hatching rate of the blank control sample in the embryo period of the zebra fish is shown, Represents the mean value of autonomous movement frequency of a blank control sample in the embryo period of the zebra fish, 、 And Are all weight coefficients, and ; S13, marking the deformity rate of the toxicity test sample in the zebra fish larval stage as The survival rate of the toxicity test sample in the zebra fish larval stage is recorded as The average value of the body length variation of the toxicity test sample in the zebra fish larva stage is recorded as The mean value of the autonomous swimming frequency of the toxicity test sample in the zebra fish larva stage is recorded as Then the toxicity absorption index of the sample in the zebra fish larval stage is calculated The expression is as follows: In the formula (i), The malformation rate of a blank control sample in the zebra fish larva stage is represented, The survival rate of a blank control sample in the zebra fish larval stage is shown, The average value of the body length variation of the blank control sample in the zebra fish larva stage is shown, The mean value of the autonomous swimming frequency of the blank control sample in the zebra fish larva stage is shown, 、、 And Are all weight coefficients, and ; S14, marking the deformity rate of the toxicity test sample in the juvenile period of the zebra fish as The survival rate of the toxicity test sample in the juvenile period of the zebra fish is recorded as The average value of the body length variation of the toxicity test sample in the juvenile period of the zebra fish is recorded as The average food intake rate of toxicity test samples in the juvenile period of the zebra fish is recorded as The average value of the autonomous swimming speed of the toxicity test sample in the juvenile period of the zebra fish is recorded as Then calculating toxicity absorption index of sample in juvenile period of zebra fish The expression is as follows: In the formula (i), The malformation rate of a blank control sample in the juvenile period of the zebra fish is represented, The survival rate of blank control samples in the juvenile period of the zebra fish is shown, The average value of the variation of the body length of a blank control sample in the juvenile period of the zebra fish is shown, The ingestion rate of a blank control sample in the juvenile period of the zebra fish is shown, Represents the independent swimming speed average value of a blank control sample in the juvenile period of the zebra fish, 、、、 And Are all weight coefficients, and ; S15, marking the deformity rate of the toxicity test sample of the juvenile zebra fish as The survival rate of the toxicity test sample in the juvenile stage of the zebra fish is recorded as The average value of the body length of the toxicity test sample of the young zebra fish in the stage is recorded as The average weight value of the toxicity test sample in the juvenile stage of the zebra fish is recorded as The average value of the immune cell number of the toxicity test sample in the juvenile stage of the zebra fish is recorded as The average value of the metabolic enzyme activity change amount of the toxicity test sample of the young zebra fish in the stage is recorded as Then the toxicity absorption index of the sample in the juvenile stage of the zebra fish is calculated The expression is as follows: In the formula (i), Representing the tolerance coefficient of the light-emitting diode, Representing the plumpness of the sample in the juvenile stage of the zebra fish; In the formula (i), The malformation rate of the blank control sample in the juvenile fish stage of the zebra fish is shown, The survival rate of a blank control sample in the juvenile fish stage of the zebra fish is shown, Indicating the fullness of the blank control sample in the juvenile stage of the zebra fish, Represents the immune cell number average value of the blank control sample in the juvenile fish stage of the zebra fish, Represents the average value of the metabolic enzyme activity change amount of the blank control sample in the juvenile stage of the zebra fish, 、、、 And Are all weight coefficients, and ; S16, marking the deformity rate of the toxicity test sample in the sub-adult stage of the zebra fish as The survival rate of the toxicity test sample in the sub-adult stage of the zebra fish is recorded as The gonadal weight average value of the toxicity test sample in the sub-adult period of the zebra fish is recorded as The average value of sex hormone concentration of toxicity test samples in the sub-adult period of zebra fish is recorded as Then the toxicity absorption index of the sample in the sub-adult period of the zebra fish is calculated The expression is as follows: In the formula (i), The malformation rate of the blank control sample in the sub-adult period of the zebra fish is shown, The survival rate of the zebra fish sub-adult period blank control sample is shown, Represents the mean value of gonadal weight of a blank control sample in the sub-adult period of zebra fish, Represents the sex hormone concentration mean value of the blank control sample in the sub-adult period of the zebra fish, 、、 And Are all weight coefficients, and ; S17, marking the deformity rate of the toxicity test sample in the adult stage of the zebra fish as The survival rate of the toxicity test sample in the adult stage of the zebra fish is recorded as The average value of spawning quantity of toxicity test samples in adult stage of zebra fish is recorded as The fertilization rate of the toxicity test sample in the adult stage of the zebra fish is recorded as The organ disease rate of the toxicity test sample in the adult stage of the zebra fish is recorded as Then the toxicity absorption index of the sample in the adult stage of the zebra fish is calculated The expression is as follows: In the formula (i), The malformation rate of the blank control sample in the adult stage of the zebra fish is shown, Survival rate of a blank control sample in the adult stage of zebra fish is shown, Represents the average spawning amount of the blank control sample in the adult stage of the zebra fish, Indicates the fertilization rate of the blank control sample in the adult stage of the zebra fish, Represents the organ disease rate of a blank control sample in the adult stage of the zebra fish, 、、、 And Are all weight coefficients, and 。
6. A water ecological risk management system based on a zebra fish population as recited in claim 5, wherein the population toxic efficiency index The calculation flow is as follows: Extracting the monitoring period from the water ecology data set In-river basin water ecology monitoring data and monitoring period The number of zebra fish populations at the beginning time point is recorded as Will monitor the period The number of zebra fish populations at the end time point was noted as Will monitor the period The average survival time of the zebra fish population at the starting time point is recorded as Will monitor the period The average survival time of the zebra fish population at the end time point is recorded as Will monitor the period The dissolved oxygen concentration at the starting time point was recorded as Will monitor the period The dissolved oxygen concentration at the end time point was recorded as Will monitor the period The nitrite concentration at the beginning time point is recorded as Will monitor the period Nitrite concentration at the end time point is recorded as ; In the formula (i), 、、 And Are all weight coefficients, and , Representing the monitoring period Population toxicity index in the interior.
7. A water ecological risk management system based on a zebra fish population as recited in claim 6, wherein the risk index The calculation flow is as follows: extracting the first one according to the pesticide data set Management data of pesticides, and will be The inflow rate of the pesticides is recorded as Will be at the first The semi-lethal concentration of the pesticides is recorded as Will be at the first The water solubility of the pesticides is recorded as ; In the formula (i), 、 And Are all weight coefficients, and 。
8. A water ecological risk management system based on a zebra fish population as claimed in claim 7, wherein the toxicity absorption index at any stage of development Greater than or equal to the toxicity absorption threshold of the same developmental stage And when the toxicity effect of the pesticide on the individual zebra fish exceeds the standard, triggering risk management measures including mainly increasing the sample toxicity detection frequency of the zebra fish in the corresponding development stage, starting a water quality purification emergency treatment program and reducing the pesticide residue concentration in the water body.
9. A water ecological risk management system based on a zebra fish population as recited in claim 8, wherein the population toxic efficiency index More than or equal to the threshold value of the toxic effect of the population And when the toxicity effect of the pesticide on the zebra fish population exceeds the standard, triggering risk management measures including timely defining a zebra fish population protection area, prohibiting all pesticide discharge behaviors in the protection area, enhancing aeration and oxygenation, degrading pollutants and optimizing the watershed water ecology.
10. A water ecological risk management system based on a zebra fish population as recited in claim 9, wherein the risk index Not less than dangerous threshold And when the toxicity effect of the pesticide on the watershed ecology exceeds the standard, triggering the risk management measures comprises prohibiting the corresponding pesticide from entering the watershed ecology, popularizing low-toxicity easily-degradable substituted pesticide and reducing the risk of ecological pollution of the water.

Description

Water ecological risk management system based on zebra fish population Technical Field The invention relates to the technical field of water ecological risk management, in particular to a water ecological risk management system based on zebra fish populations. Background Based on toxicity test results at the individual level of living beings, the current mainstream evaluation method mainly uses a Dynamic Energy Balance (DEB) model or an ecologically harmful ending path (eAOP) as a core. The method fully considers multi-factor interaction, and can effectively extrapolate the toxicity effect of the individual level to the population level through the population model. Among them, DEB theory-based methods have been systematically applied to ecotoxicology studies, and have been incorporated into international risk assessment guidelines by virtue of their significant superiority in the analysis of ecotoxicity data. Previously, researchers have simulated and corrected detailed models such as bioenergy, propagation, foraging behaviors and the like of individual fishes through DEB related models, and successfully establish functional relations between life stages and ages of fishes, and the research results lay a solid foundation for ecological risk assessment of fish populations based on the DEB models. Meanwhile, the biological full life cycle toxicity test can effectively evaluate the influence caused by low-dose toxic chemical exposure, and the assistance obtains key detailed information such as the long-term safe concentration, the potential delay toxicity and the like of the chemical. The DEB model is combined with a full life cycle toxicity test of the model biological zebra fish, so that the DEB model is used for researching population dynamic changes and deducing a high-risk pesticide concentration threshold value for protecting the population, and is an innovative attempt in the current field, and the method can provide necessary and key reference information for pesticide environment risk management in a river basin scale. At present, the traditional water ecological risk management system based on the zebra fish population carries out toxicity evaluation in a single development stage or a single dimension of the zebra fish, ignores the sensitivity difference of different development stages to pesticide toxicity, and is difficult to formulate differential measures according to specific exceeding conditions of toxic effects, so that the problems of low management and control efficiency or excessive management and control exist, risk response lag is caused, and a precise management and control mechanism of grading classification is lacked. Disclosure of Invention Aiming at the defects of the prior art, the invention provides the water ecological risk management system based on the zebra fish population, which has the advantages of high multidimensional evaluation accuracy, high intelligent management and control efficiency and the like, and solves the problems that the traditional water ecological risk management system based on the zebra fish population ignores the sensitivity difference of different development stages to pesticide toxicity and cannot specify differential measures. In order to achieve the aim, the invention provides the technical scheme that the water ecological risk management system based on the zebra fish population comprises a multidimensional monitoring module, an intelligent analysis module and a risk management module; The multidimensional monitoring module is connected with the database to acquire toxicity test data of the whole life cycle of the zebra fish, ecological monitoring data of the river basin water and pesticide management data, and the toxicity test data, the ecological monitoring data of the river basin water and the pesticide management data are classified into a biological data set, an ecological water data set and a pesticide data set; The intelligent analysis module comprises an individual assessment unit, a population assessment unit and a toxicity assessment unit, wherein the individual assessment unit analyzes the toxicity effect of pesticide toxicity on individual zebra fish according to a biological data set to generate a corresponding toxicity absorption index The population evaluation unit is provided with a monitoring period with a fixed durationCombining the water ecological data set, analyzing the toxic effect of pesticide toxicity on the zebra fish population, and generating a corresponding population toxic effect indexThe toxicity evaluation unit analyzes the toxicity effect of each pesticide on the water ecology of the flow field according to the pesticide data set to generate a corresponding risk index; The risk management module is provided with a toxicity absorption threshold value with a fixed valueThreshold of population toxic effectThreshold of riskAnd toxicity absorption indexPopulation toxicity indexRisk indexAnd outputting corresponding risk