CN117171597B

CN117171597B - Method, system and medium for analyzing polluted site based on microorganisms

Info

Publication number: CN117171597B
Application number: CN202311445417.4A
Authority: CN
Inventors: 郭丽莉; 张家铭; 李书鹏; 王蓓丽; 刘亚茹; 李亚秀
Original assignee: BCEG Environmental Remediation Co Ltd
Current assignee: BCEG Environmental Remediation Co Ltd
Priority date: 2023-11-02
Filing date: 2023-11-02
Publication date: 2024-01-02
Anticipated expiration: 2043-11-02
Also published as: CN117171597A

Abstract

The invention discloses a method, a system and a medium for analyzing a polluted site based on microorganisms, which realize comprehensive analysis and repair scheme formulation of the polluted site. The method comprises the following steps: first, microorganism population information, contaminant information, and environmental data in a target contaminated site are collected. Second, the response mode and degradation capacity of the microorganism to the contaminant are determined. And then judging the pollution degree of the polluted site and predicting the future pollution trend. And (5) formulating a proper microbial remediation scheme to reduce the pollution condition of the polluted site. Continuously monitoring the adaptive evolution condition of the microorganism and obtaining the adaptive evolution data of the microorganism. And finally, adjusting a microbial repair scheme according to the microbial adaptability evolution data. The method utilizes the characteristics of microorganisms to effectively analyze the condition of the polluted site, and makes a feasible repair scheme, so that scientific management and repair of the polluted site are realized, and the method has wide application prospect.

Description

Method, system and medium for analyzing polluted site based on microorganisms

Technical Field

The invention relates to the technical field of pollution site treatment, in particular to a method, a system and a medium for analyzing a pollution site based on microorganisms.

Background

With the continuous acceleration of global industrialization and urbanization, environmental pollution has become an important factor restricting sustainable development. Conventional repair methods are mainly focused on physical and chemical means, but these methods often require expensive costs, large manpower and resource investment, and cannot truly solve the fundamental problems of pollutants. Microbial remediation has attracted considerable attention in recent years as an environmental protection technique due to its unique characteristics.

However, microbial remediation still has many challenges in practical applications. The traditional microorganism repairing method is poor in treatment effect, and has certain limitation on the treatment persistence of the polluted site. In order to achieve more accurate and sustainable contaminated site analysis and repair, a method is needed to comprehensively evaluate the response modes and degradation capacities of microorganisms to different pollutants to guide the formulation of repair strategies.

Therefore, the invention aims to solve the limitations in the prior art and provide a method, a system and a medium for analyzing a polluted site based on microorganisms, so as to comprehensively and systematically evaluate the effect of the microorganisms in pollutant degradation, thereby providing scientific basis for the restoration of the polluted site.

Disclosure of Invention

In order to solve at least one of the above technical problems, the present invention provides a method, a system and a medium for analyzing a contaminated site based on microorganisms.

The first aspect of the invention provides a method for analyzing a contaminated site based on microorganisms, comprising:

acquiring microbial population information, pollutant information and environmental data in a target polluted site;

performing association analysis on microbial population information, pollutant information and environmental data, and determining the response mode and degradation capability of the microorganisms to pollutants;

periodically monitoring the microbial population change information in the polluted site, judging the pollution degree of the polluted site and predicting pollution trend according to the microbial population change information and the response mode;

determining a microbial remediation scheme for the target contaminated site based on the degree of contamination, the mode of response of the microorganism to the contaminant, and the degradation capability;

according to a microbial remediation scheme, monitoring the microbial adaptive evolution condition in a target polluted site to obtain microbial adaptive evolution data;

and adjusting a microbial repair scheme according to the microbial adaptability evolution data.

In this scheme, the microorganism population information, pollutant information, environmental data in the target contaminated site are obtained, specifically:

Collecting a soil sample of a target area, and analyzing according to the soil sample to obtain microbial population information in a target polluted site, wherein the microbial population information comprises microbial names, microbial numbers and microbial population densities;

carrying out chemical analysis according to a soil sample to obtain pollutant information, wherein the pollutant information comprises pollutant types, pollutant concentrations and pollutant distribution ranges;

environmental data including soil pH, temperature, humidity are acquired by the sensor device.

In this scheme, carry out the association analysis with microorganism population information, pollutant information, environmental data, confirm microorganism to the response mode and the degradability of pollutant, specifically do:

simulating the living environment of microorganisms in the target pollution site according to the pollutant information and the environment data to obtain a simulated pollution environment;

calculating the quantity proportion of microorganisms in a target pollution site according to the microorganism population information, culturing the microorganisms according to the quantity proportion, placing the cultured microorganisms in a simulated pollution environment, and recording change information in the simulated pollution environment by taking hours as a recording time period, wherein the change information comprises simulated environment microorganism population change information, simulated environment pollutant change information and simulated environment change information;

Constructing an analysis model based on a DBSCAN algorithm, and importing the change information into the analysis model for analysis;

performing feature selection on the change information to obtain change information feature data;

calculating density information of the change information characteristic data, and identifying core points, boundary points and noise points of the change information characteristic data according to the density information;

dividing the change information characteristic data into different cluster clusters based on the core points, the boundary points and the noise points;

analyzing the cluster to determine the response mode of the microorganism population to the pollutant;

and judging the degradation capability of the microorganism to the pollutants according to the response mode.

In this scheme, the microorganism population change information and the pollutant change information in the periodic monitoring pollution place, according to microorganism population change information, pollutant change information, response mode, judge pollution degree and the forecast trend of pollution place specifically do:

according to a preset period, randomly acquiring a soil sample in a target pollution site, and recording the pollutant concentration, the microorganism number and the microorganism population density in the soil sample to obtain microorganism population change information and pollutant change information;

Performing association analysis on the microbial population change information, the pollutant change information and the response mode, and judging the pollution condition of the polluted site;

acquiring time sequence data of the change information according to the microbial population change information and the pollutant change information;

establishing an ARIMA model, calculating time series data based on an autocorrelation function, and determining an autoregressive order, a difference number and a moving average order of the ARIMA model;

the microbial population change information and the pollutant change information are imported into an ARIMA model for fitting, and a data fitting model is obtained;

extracting microbial population change information and pollutant change information in a preset time period, checking the data fitting model, and judging the prediction accuracy of the data fitting model on the pollution trend;

if the prediction accuracy is greater than a preset value, predicting the pollution trend of the target pollution site to obtain a prediction result;

if the prediction accuracy is smaller than the preset value, acquiring more microbial population change information and pollutant change information to fit the ARIMA model until the prediction accuracy is larger than the preset value.

In this scheme, based on pollution condition, microorganism to pollutant response mode and degradability, confirm the microorganism restoration scheme in target contaminated site, specifically be:

Determining a plurality of dominant microorganism populations for pollution degradation based on the pollution level of the target pollution site, the response mode of the microorganisms to the pollutants, and the degradation capacity;

acquiring proper growth environment conditions and reproduction data of the dominant microorganism population, wherein the environment conditions comprise temperature, humidity and pH value, and the reproduction data comprise life cycle, reproduction rate and reproduction quantity;

comparing the environmental conditions with environmental data of the target polluted site to obtain a microbial remediation population of the target polluted site;

formulating the culture quantity of microorganisms based on the pollution degree of the target pollution site;

and determining the throwing position of the microorganism according to the pollution distribution range of the target pollution site, and forming a microorganism repairing scheme of the target pollution site.

In this scheme, according to the microorganism repair scheme, the microorganism adaptability evolution condition in the target polluted site is monitored to obtain microorganism adaptability evolution data, specifically:

performing pollution remediation on the target pollution site according to a microbial remediation scheme;

setting a microorganism population and a pollutant monitoring time range, a monitoring frequency and a monitoring position when microorganism restoration is carried out on a target pollution site, and forming a monitoring plan;

Periodically acquiring a soil sample at a monitoring position according to a monitoring plan, extracting DNA information of a microbial population in soil, and carrying out analysis and calculation according to the soil sample to obtain microbial monitoring data and pollutant monitoring data;

analyzing according to DNA information of a microorganism population, microorganism monitoring data and pollutant monitoring data, judging the microorganism adaptability evolution condition in a target pollution site, and obtaining microorganism adaptability evolution data, wherein the microorganism adaptability evolution data comprises microorganism growth rate, genetic structure change data, degradation capacity change data of pollutants and propagation rate.

In this scheme, according to microorganism adaptability evolution data, adjust microorganism restoration scheme specifically does:

according to the microbial adaptability evolution data and the pollutant monitoring data, analyzing the change of the degradation effect of the microbial population on the pollutants of the target pollution site to obtain an analysis result;

judging whether the degradation capacity of the microbial population to the pollutants changes or not according to the analysis result and judging according to the microbial adaptability evolution data if the degradation effect has a decreasing trend, and re-putting the microbial population if the degradation capacity decreases;

Setting a preset degradation capacity value of the microbial population, judging a time period of the degradation capacity reduction value of the microbial population and the preset degradation capacity value according to an analysis result, and re-throwing the microbial population according to the time period;

calculating the proportion change information of the concentration of various pollutants in the target pollution site according to the pollutant monitoring data, and correcting the throwing proportion of the microbial population according to the proportion change information to form a microbial remediation adjustment scheme.

The second aspect of the present invention also provides a system for analyzing a contaminated site based on microorganisms, the system comprising: the device comprises a memory and a processor, wherein the memory comprises a pollution site analysis method program based on microorganisms, and when the pollution site analysis method program based on microorganisms is executed by the processor, the following steps are realized:

The third aspect of the present invention also provides a computer-readable storage medium having embodied therein a microorganism-based contaminated site analysis method program which, when executed by a processor, implements the steps of the microorganism-based contaminated site analysis method as described in any one of the above.

Drawings

FIG. 1 shows a flow chart of a method of microorganism-based contaminated site analysis of the present invention;

FIG. 2 shows a flow chart of a microbial remediation scheme for determining a target contaminated site according to the present invention;

FIG. 3 shows a flow chart of the present invention for forming a microbial remediation modulation scheme;

FIG. 4 shows a block diagram of a microorganism-based contaminated site analysis system of the present invention.

Detailed Description

In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.

FIG. 1 shows a flow chart of a method of the present invention for analyzing a contaminated site based on microorganisms.

As shown in fig. 1, the first aspect of the present invention provides a method for analyzing a contaminated site based on microorganisms, comprising:

S102, acquiring microorganism population information, pollutant information and environmental data in a target polluted site;

s104, carrying out association analysis on microorganism population information, pollutant information and environmental data, and determining a response mode and degradation capability of microorganisms to pollutants;

s106, periodically monitoring the microbial population change information in the polluted site, judging the pollution degree of the polluted site and predicting pollution trend according to the microbial population change information and the response mode;

s108, determining a microorganism restoration scheme of the target polluted site based on the pollution degree, the response mode of microorganisms to pollutants and the degradation capability;

s110, monitoring the adaptive evolution condition of microorganisms in a target polluted site according to a microorganism restoration scheme to obtain adaptive evolution data of the microorganisms;

and S112, adjusting a microbial repair scheme according to the microbial adaptability evolution data.

The method is characterized in that the method determines a microbial remediation scheme of the target polluted site by carrying out joint analysis on the target polluted site data and the microbial population, and adjusts the microbial remediation scheme according to the microbial adaptability evolution data; the method can evaluate the pollution degree and the change trend of the pollution site in real time, is favorable for formulating timely and effective coping strategies, formulates customized microorganism repairing schemes, can furthest exert the microorganism degradation capability and improves the pollutant removal efficiency.

According to the embodiment of the invention, the acquisition of the microbial population information, the pollutant information and the environmental data in the target polluted site is specifically as follows:

In the embodiment of the invention, the soil sample of the target pollution site is subjected to chemical analysis, the pollutant types and the pollutant concentrations are determined, and the pollution distribution range is determined for the soil samples collected in different areas.

According to the embodiment of the invention, the association analysis is carried out on the microbial population information, the pollutant information and the environmental data, and the response mode and the degradation capability of the microorganism to the pollutant are determined, specifically:

The method is characterized in that clustering analysis is carried out on simulated environment microorganism population change information, simulated environment pollutant change information and simulated environment change information through a DBSCAN algorithm, a response mode of the microorganism population to pollutants is determined, and the analysis efficiency and accuracy of data can be improved through the DBSCAN algorithm; the microbial population change information comprises microbial population change information and microbial population density change information; the pollutant change information comprises pollutant concentration change information and pollutant distribution change information; the environmental change information comprises change information of temperature, humidity and pH value of soil; the response mode comprises information of sensitivity degree of different microorganisms to pollutants, decomposing capacity of the microorganisms and change of the number of the microorganisms in the microorganism population.

According to the embodiment of the invention, the microbial population change information and the pollutant change information in the polluted site are periodically monitored, and the pollution degree and the predicted pollution trend of the polluted site are judged according to the microbial population change information, the pollutant change information and the response mode, specifically:

It should be noted that, establishing an ARIMA prediction model predicts the pollution trend, so as to improve the accuracy of pollution trend prediction; the soil sample is obtained under specific environmental conditions, and the influence of the environment on microorganisms is negligible; the method comprises the steps of acquiring more microbial population change data and pollutant change data, wherein the more change data are obtained by increasing monitoring times.

FIG. 2 shows a flow chart of the microbial remediation scheme of the present invention for determining a target contaminated site.

According to the embodiment of the invention, the microbial remediation scheme of the target contaminated site is determined based on the pollution condition, the response mode of the microorganism to the pollutant and the degradation capability, and specifically comprises the following steps:

s202, analyzing the pollution degree of a target pollution site, the response mode of microorganisms to pollutants and the degradation capacity, and determining a plurality of dominant microorganism populations for pollution degradation;

S204, acquiring proper growth environment conditions and reproduction data of the dominant microorganism population, wherein the environment conditions comprise temperature, humidity and pH value, and the reproduction data comprise life cycle, reproduction rate and reproduction quantity;

s206, comparing the environmental conditions with environmental data of the target polluted site to obtain a microorganism repairing population of the target polluted site;

s208, formulating the culture quantity of microorganisms based on the pollution degree of the target pollution site;

s210, determining the throwing position of the microorganism according to the pollution distribution range of the target pollution site, and forming a microorganism restoration scheme of the target pollution site.

In the embodiment of the invention, the dominant microorganism population suitable for degrading pollutants can be selected by analyzing the pollution condition and the microorganism response mode, so that the repair efficiency is improved; acquiring proper growth environment conditions and reproduction data of microorganisms, and helping to ensure that the microorganisms can effectively grow and reproduce in a target site so as to realize a repair target; proper microorganism culture quantity and throwing positions are formulated, so that the best effect of microorganism restoration in a target area is ensured, and pollutants are degraded to the greatest extent; the dominant microorganism population is a microorganism population with good pollutant degradation effect on a target polluted site.

According to the embodiment of the invention, according to the microbial remediation scheme, the microbial adaptive evolution condition in the target polluted site is monitored to obtain microbial adaptive evolution data, specifically:

The method is characterized in that the adaptive evolution condition of the microorganisms is monitored, the adaptive evolution data of the microorganisms is analyzed, and the change of the microorganism population on a time scale is identified, so that guidance is provided for the adjustment and optimization of a microorganism repair scheme; the adaptive evolution of the microorganism refers to the evolution process of the microorganism in a specific environment so as to adapt to environmental changes and pressure, thereby improving the ability of survival and reproduction; the adaptive evolution may lead to some variants or sub-populations of the microorganism population having higher viability and reproductive competitiveness in a specific environment, thereby inducing dynamic changes in the microorganism population, but may also lead to conditions in which the microorganism population is not adapted to the polluted environment; the method is beneficial to predicting the performance of microorganisms in a specific repair environment by monitoring the adaptive evolution of microorganisms, optimizing a repair scheme and better utilizing the degradation capability of the microorganisms to improve a polluted site; in order to reduce the acquisition cost, the time for acquiring the DNA information can be prolonged properly, and the acquisition times can be reduced, and the genetic structure change data can judge whether the microorganism population still has degradation capability on corresponding pollutants.

FIG. 3 shows a flow chart of the present invention for forming a microbial remediation modulation scheme.

According to the embodiment of the invention, the microbial repair scheme is adjusted according to the microbial adaptability evolution data, specifically:

s302, analyzing the change of the degradation effect of the microbial population on the pollutants of the target pollution site according to the microbial adaptability evolution data and the pollutant monitoring data to obtain an analysis result;

s304, judging whether the degradation capacity of the microbial population to the pollutants changes or not according to the analysis result and judging according to the microbial adaptability evolution data if the degradation effect has a descending trend, and putting the microbial population again if the degradation capacity is descending;

s306, setting a preset degradation capacity value of the microbial population, judging a time period of the degradation capacity degradation value of the microbial population and the preset degradation capacity value according to an analysis result, and re-throwing the microbial population according to the time period;

s308, calculating the proportion change information of the concentration of various pollutants in the target pollution site according to the pollutant monitoring data, and correcting the throwing proportion of the microbial population according to the proportion change information to form a microbial remediation adjustment scheme.

The method can capture the actual effect of a microbial repair scheme and early warn the possible degradation capacity reduction by analyzing the change of the microbial adaptability evolution data and the degradation effect; judging degradation capability change and re-putting the microbial population is beneficial to flexibly adjusting the microbial population in the repairing process, so that the efficient degradation effect is maintained; the composition of the microorganism group can be dynamically adjusted according to the actual pollution condition by correcting the microorganism throwing proportion so as to better cope with the complex pollution environment.

According to an embodiment of the present invention, further comprising:

acquiring a plant name in a target polluted site, and acquiring material release information of the plant in different growth stages according to the plant name, wherein the material release information comprises a root secretion type and a metabolic material type;

according to the substance release information, obtaining the concentration of root secretions and metabolic substances in the soil at different growth stages of the plant;

acquiring the quantity information of the microbial population for treating pollution in the soil in different growth periods of the plants;

performing correlation analysis according to the root secretion concentration, the metabolic substance concentration and the quantity information of the microbial population to obtain a correlation change result;

According to the correlation change results, whether the concentration of the root secretions and the concentration of the metabolic substances cause the correlation change of the quantity of the microbial population is calculated, wherein the correlation change results comprise the inhibition effect, the promotion effect and the no obvious effect of the growth of the microbial population;

if the microbial remediation population of the target contaminated site is changed, the microbial remediation population is changed;

if the microbial agent has a promoting effect, increasing the throwing quantity of the microbial population;

if no obvious effect is obtained, the microbial remediation scheme is not modified.

It should be noted that, since root secretions and metabolic substances generated by plants grown in the target contaminated site in different growth stages may affect the growth of microorganism populations in soil, when plants in the target contaminated site grow to different stages, the microorganism repair scheme is correspondingly adjusted, so that dynamic adjustment of the microorganism repair scheme is realized, and the pollution treatment effect of the target contaminated site is further improved; the correlation change result refers to whether the concentration of root exudates, the concentration of metabolic substances and the quantity change of microbial populations are positively or negatively correlated.

According to an embodiment of the present invention, further comprising:

Taking one month as a microorganism monitoring period, monitoring the daily microorganism quantity change data in a target pollution site in real time in the monitoring period, and acquiring the daily soil pH value, temperature and humidity;

performing abnormal value processing on the microbial quantity change data, the soil pH value, the temperature and the humidity to obtain pretreatment data;

the pre-processed data were read at 8:2, dividing the ratio into a training set and a testing set;

establishing a linear regression prediction model, introducing a training set into the linear regression prediction model for training, and adjusting model parameters;

introducing the test set into the trained model, evaluating the prediction performance of the model, and if the prediction accuracy is smaller than a preset accurate value, performing super-parameter on the model until the prediction accuracy is not smaller than the preset accurate value;

importing the microbial quantity change data of each day in the target pollution site in the monitoring period into a linear regression prediction model, and predicting the target for a long time and predicting the target for a short time to obtain long-time microbial quantity change data and short-time microbial quantity change data;

and analyzing according to the long-time microorganism quantity change data and the short-time microorganism quantity change data to form a long-time microorganism supplement scheme and a short-time microorganism supplement scheme.

It should be noted that, by predicting the number of microorganisms in the future period, whether the number of microorganisms needs to be supplemented in the future period is determined according to the prediction result; the accuracy of the microbial quantity prediction is improved through the training and the optimization of the model; the long time is 5-6 periods, and the short time is 1-2 periods; the long-time and short-time prediction of the microbial quantity can be used for coping with the microbial quantity change in advance, and coping schemes are prepared in advance, so that the sustainable and stable treatment of the polluted site is facilitated, and the pollution treatment effect of the target polluted site is improved; the long-term microorganism supplement scheme can be applied to the situation that the manpower and material resources for pollution site treatment are less; the short-time microorganism supplementing scheme can be applied to the condition of sufficient manpower and material resources; the long-time microorganism supplement scheme and the short-time microorganism supplement scheme can be better suitable for the conditions of different manpower and physical forces.

The second aspect of the present invention also provides a system 4 for analyzing a contaminated site based on microorganisms, the system comprising: a memory 41, a processor 42, the memory containing a microorganism-based contaminated site analysis method program which, when executed by the processor, implements the steps of:

According to an embodiment of the present invention, further comprising:

performing correlation analysis according to the root secretion concentration, the metabolic substance concentration and the quantity information of the microbial population to obtain a correlation change result, wherein the correlation change result comprises inhibition effect, promotion effect and no obvious effect on the growth of the microbial population;

According to an embodiment of the present invention, further comprising:

establishing a linear regression prediction model, introducing a training set into the linear regression prediction model for training, and adjusting model parameters in the training process;

introducing the test set into a trained model, evaluating the prediction performance of the model, and if the prediction accuracy is smaller than a preset accuracy value, secondarily adjusting model parameters, and circularly performing model training until the prediction accuracy is not smaller than the preset accuracy value;

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.

Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.

The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for analyzing a contaminated site based on microorganisms, comprising the steps of:

according to the adaptive evolution data of the microorganisms, adjusting a microorganism repairing scheme;

the method comprises the steps of performing association analysis on microorganism population information, pollutant information and environmental data to determine the response mode and degradation capability of microorganisms to pollutants, wherein the specific steps are as follows:

2. The method for analyzing a contaminated site based on microorganisms according to claim 1, wherein the acquiring of the microbial population information, the contaminant information, and the environmental data in the target contaminated site specifically includes:

3. The method for analyzing a contaminated site based on microorganisms according to claim 1, wherein the periodically monitoring the microbial population change information and the contaminant change information in the contaminated site, and judging the contamination degree and the predicted contamination trend of the contaminated site according to the microbial population change information, the contaminant change information and the response mode comprises the following steps:

4. The method for analyzing a contaminated site based on a microorganism according to claim 1, wherein the determining a microbial remediation scheme of the target contaminated site based on the contamination level, the response mode of the microorganism to the contaminant and the degradation capability, specifically, the method comprises:

5. The method for analyzing a contaminated site based on a microorganism according to claim 1, wherein the method for monitoring the adaptive evolution condition of the microorganism in the target contaminated site according to the microorganism repairing scheme, to obtain adaptive evolution data of the microorganism comprises the following steps:

6. The method for analyzing a contaminated site based on a microorganism according to claim 1, wherein the adjusting the microorganism repairing scheme according to the microorganism adaptability evolution data comprises:

7. A microbial-based contaminated site analysis system, the microbial-based contaminated site analysis system comprising a storage and a processor, the storage comprising a microbial-based contaminated site analysis method program, the microbial-based contaminated site analysis method program, when executed by the processor, effecting the steps of:

8. The system for analyzing a contaminated site based on a microorganism according to claim 7, wherein the adjusting the microorganism repairing scheme according to the microorganism adaptive evolution data comprises:

9. A computer-readable storage medium, characterized in that a microorganism-based contaminated site analysis method program is included in the computer-readable storage medium, which, when executed by a processor, implements the steps of the microorganism-based contaminated site analysis method according to any one of claims 1 to 6.