Method and system for detecting typical pollutants in water environment

Abstract

The invention discloses a method and system for detecting typical pollutants in a water environment, and relates to the technical field of water environment governance, the health value of the water environment is obtained through quantitative analysis of optimal control pollutants in the water environment, and the pollution level of the water environment is further obtained based on threshold judgment. According to the method and the system, the water environment is detected, early warning is set according to the pollution level of the water environment, more accurate and comprehensive early warning information can be obtained, and for pollutant traceability, the quantitative processing mode not only can effectively ensure scientificity and accuracy of traceability, but also can more conveniently and quickly position pollutants, and the method and the system have good application prospects. And the phenomena of misjudgment and missed judgment can be effectively avoided, so that a powerful tool and technical support are provided for the environmental protection department, effective treatment measures can be taken in time, environmental pollution events are reduced, water resources are protected, and public health is guaranteed. And data support is provided for making a more scientific and more accurate environment management policy.

Description

Technical Field

[0001] The present invention relates to the technical field of water environment treatment, and in particular to a method and system for detecting typical pollutants in a water environment. Background Art

[0002] Water pollution is a major problem facing the world. Especially with the rapid development of industrialization and urbanization, the types and quantities of pollutants in water bodies are increasing. These pollutants not only damage aquatic ecosystems, but may also affect human health through the food chain. Therefore, accurate and rapid detection and evaluation of typical pollutants in the water environment, also known as priority controlled pollutants, has become an important task in environmental protection and management.

[0003] At present, the detection methods of typical pollutants in water environment mainly include the following:

[0004] 1. Traditional laboratory analysis: This method usually includes steps such as sampling, transportation, sample pretreatment and laboratory analysis. Commonly used analytical techniques include gas chromatography-mass spectrometry, high performance liquid chromatography, atomic absorption spectroscopy, etc. Although these methods have high accuracy and reliability, they have disadvantages such as complex operation, long time consumption, high cost and inability to monitor in real time;

[0005] 2. On-site rapid detection: In order to overcome the shortcomings of traditional laboratory analysis, a variety of on-site rapid detection technologies have been developed in recent years, such as portable spectrophotometers, electrochemical sensors, biosensors, etc. These technologies can achieve on-site rapid detection and reduce sample transportation and processing time, but their sensitivity and accuracy are often not as good as laboratory methods, and their scope of application is limited;

[0006] 3. Remote sensing technology: Remote sensing equipment carried by satellites or drones can be used to quickly monitor large areas of water. However, remote sensing technology is mainly suitable for macro-scale monitoring, has weak quantitative analysis capabilities for specific pollutants, and is greatly affected by weather conditions.

[0007] 4. Online monitoring system: Some online monitoring systems are installed in fixed locations and can monitor water quality parameters such as pH, dissolved oxygen, turbidity, etc. in real time. However, for the detection of specific pollutants, these systems still need to rely on laboratory analysis or other auxiliary equipment, making it difficult to achieve comprehensive and accurate monitoring;

[0008] Although the existing methods for detecting typical pollutants in water environments have met some of the needs to a certain extent, they still have the following significant defects:

[0009] At present, most detection methods only focus on the concentration of a single or a few pollutants, lack comprehensive assessment of multiple pollutants, and cannot fully reflect the overall status of the water environment. At the same time, there is a lack of effective data integration and analysis methods, making it difficult to effectively correlate and compare data from different sources, resulting in inaccurate and incomplete early warning information. In addition, the existing early warning systems are mostly based on a single indicator or simple threshold settings, lacking a scientific and reasonable setting process, resulting in the need to improve the reliability and comprehensiveness of early warning information. At the same time, it is easy to encounter the problem of difficulty in tracing the source of pollutants. Once a pollution incident occurs, it is difficult to quickly locate the source of pollution, resulting in delayed control measures and affecting the control effect.

[0010] Therefore, the prior art is in urgent need of a method and system for detecting typical pollutants in water environments. Summary of the invention

[0011] In order to solve the above technical problems, the present invention provides a method for detecting typical pollutants in water environment, which specifically comprises the following steps:

[0012] Step S1, qualitatively identifying priority controlled pollutants in the water environment by using multiple portable Raman spectrometers, and collecting pollutant data of each priority controlled pollutant and performing pre-processing, wherein the pollutant data includes concentration data;

[0013] Step S2: transmitting the pollutant data of each priority pollutant after pretreatment to the environmental pollutant detection cloud platform through a wireless network, and the environmental pollutant detection cloud platform performs analysis to obtain a water environment health value;

[0014] Step S2a, performing pollution concentration analysis on the pollutant data of each priority controlled pollutant after pre-processing through the environmental pollutant detection cloud platform to obtain the concentration index of each pollutant in each priority controlled pollutant;

[0015] Step S2a1, calling the peak concentration of each pollutant in each priority controlled pollutant through the environmental pollutant detection cloud platform;

[0016] Step S2a2, obtaining the concentration standard value of each pollutant in each priority controlled pollutant;

[0017] Step S2a3, obtaining a concentration index of each pollutant in each priority controlled pollutant according to the concentration peak value of each pollutant in each priority controlled pollutant and the concentration standard value of each pollutant in each priority controlled pollutant;

[0018] Among them, the calculation formula for the concentration index of each pollutant in each priority controlled pollutant is:

[0019]

[0020] Among them, I cijrepresents the concentration index of the jth pollutant among the i-th priority controlled pollutants; C pij represents the peak concentration of the jth pollutant among the i-th priority controlled pollutants; C sij Represents the concentration standard value of the jth pollutant among the i-th priority controlled pollutants;

[0021] Step S2b, obtaining a comprehensive concentration index of each priority controlled pollutant according to the concentration index of each pollutant in each priority controlled pollutant;

[0022] Step S2b1, through the environmental pollutant detection cloud platform, call the concentration data of each pollutant in each priority controlled pollutant of at least two groups, and perform averaging processing to obtain the average concentration data of each pollutant in each priority controlled pollutant, and obtain the standard deviation of the concentration data of each pollutant in each priority controlled pollutant according to the average concentration data;

[0023] Step S2b2, analyzing the impact of each pollutant in each priority controlled pollutant on water environment pollution, and assigning a weight to each pollutant in each priority controlled pollutant according to the analysis results;

[0024] Step S2b3, according to the average concentration data of each pollutant in each priority controlled pollutant, the standard deviation of the concentration data of each pollutant in each priority controlled pollutant, the weight of each pollutant in each priority controlled pollutant, and the concentration index of each pollutant in each priority controlled pollutant, obtain the comprehensive concentration index of each priority controlled pollutant;

[0025] Among them, the calculation formula for the comprehensive concentration index of each priority controlled pollutant is:

[0026]

[0027] Among them, I ci represents the comprehensive concentration index of the i-th priority controlled pollutant; C avg,ij represents the average concentration data of the jth pollutant among the i-th priority controlled pollutants; W ij Represents the weight of the jth pollutant among the i-th priority controlled pollutants; I cij represents the concentration index of the jth pollutant among the i-th priority controlled pollutants; k represents the adjustment coefficient, which is used to balance the relationship between the average concentration and the concentration fluctuation; SD ij represents the standard deviation of the concentration data of the jth pollutant among the i-th priority controlled pollutants; n i Represents the number of pollutants in the i-th priority controlled pollutant;

[0028] Step S2c, comparing the concentration index of each pollutant in each priority controlled pollutant with the comprehensive concentration index of each priority controlled pollutant to obtain the contribution rate of each pollutant in each priority controlled pollutant;

[0029] Among them, the calculation formula for the contribution rate of each pollutant in each priority controlled pollutant is:

[0030]

[0031] Among them, R ij represents the contribution rate of the jth pollutant in the ith priority controlled pollutant; I cij Represents the concentration index of the jth pollutant among the i-th priority controlled pollutants; I ci Represents the comprehensive concentration index of the i-th priority controlled pollutant;

[0032] Step S2d, obtaining a comprehensive contribution rate of each priority controlled pollutant according to the contribution rate of each pollutant in each priority controlled pollutant;

[0033] Among them, the calculation formula for the comprehensive contribution rate of each priority controlled pollutant is:

[0034]

[0035] Among them, R ci represents the comprehensive contribution rate of the ith priority controlled pollutant; R ij represents the contribution rate of the jth pollutant in the ith priority controlled pollutant; W ij represents the weight of the jth pollutant among the i-th priority controlled pollutants; n i Represents the number of pollutants in the i-th priority controlled pollutant;

[0036] Step S2e, obtaining a water environment health value according to the concentration index of each pollutant in each priority controlled pollutant, the comprehensive concentration index of each priority controlled pollutant, the contribution rate of each pollutant in each priority controlled pollutant, and the comprehensive contribution rate of each priority controlled pollutant;

[0037] The calculation formula for the water environment health value is:

[0038]

[0039] Among them, H represents the water environment health value; I ci Represents the comprehensive concentration index of the i-th priority controlled pollutant; I cij represents the concentration index of the jth pollutant among the i-th priority controlled pollutants; R ij represents the contribution rate of the jth pollutant in the ith priority controlled pollutant; R ci represents the comprehensive contribution rate of the ith priority controlled pollutant; m represents the total number of priority controlled pollutants; n i Represents the number of pollutants in the i-th priority controlled pollutant;

[0040] Step S3, setting at least two thresholds for the water environment health value, and dividing the water environment health value by the thresholds, and determining the water environment pollution level according to the division results;

[0041] The thresholds include a first threshold, a second threshold, a third threshold, a fourth threshold, and a fifth threshold; when the water environment health value is less than the first threshold, the water environment pollution level is determined to be level one; when the water environment health value is greater than or equal to the first threshold and less than the second threshold, the water environment pollution level is determined to be level two; when the water environment health value is greater than or equal to the second threshold and less than the third threshold, the water environment pollution level is determined to be level three; when the water environment health value is greater than or equal to the third threshold and less than the fourth threshold, the water environment pollution level is determined to be level four; when the water environment health value is greater than or equal to the fourth threshold and less than the fifth threshold, the water environment pollution level is determined to be level five; when the water environment health value is greater than or equal to the fifth threshold, the water environment pollution level is determined to be level six;

[0042] Step S4: setting a water environment warning level according to the water environment pollution level, tracing the source of pollutants in the water environment according to the warning level, and adopting a water environment restoration strategy based on the tracing results.

[0043] A detection system for typical pollutants in water environment, which implements the above-mentioned detection method for typical pollutants in water environment, includes the following modules:

[0044] Data acquisition and preprocessing module: used to qualitatively identify priority pollutants in the water environment through multiple portable Raman spectrometers, and to collect pollutant data of each priority pollutant and perform preprocessing, wherein the pollutant data includes concentration data;

[0045] Analysis and calculation module: connected to the data acquisition and preprocessing module, used to transmit the pollutant data of each priority pollutant after preprocessing to the environmental pollutant detection cloud platform through a wireless network, and the environmental pollutant detection cloud platform performs analysis to obtain the water environment health value;

[0046] Threshold determination module: connected to the analysis and calculation module, used to set at least two thresholds for the water environment health value, and divide the water environment health value by the thresholds, and determine the water environment pollution level according to the division results;

[0047] Early warning module: connected to the threshold determination module, used to set the water environment early warning level according to the water environment pollution level, trace the pollutants in the water environment according to the early warning level, and adopt a water environment restoration strategy based on the tracing results.

[0048] The embodiments of the present invention have the following technical effects:

[0049] The present invention aims to quantitatively analyze the priority controlled pollutants in the water environment, obtain the health value of the water environment, and further obtain the pollution level of the water environment based on the threshold judgment, and then set the warning according to the pollution level of the water environment, so as to obtain more accurate and comprehensive warning information. In order to ensure the accuracy of the quantitative analysis, the present invention obtains the contribution rate of each pollutant in each priority controlled pollutant by analyzing the concentration index of each pollutant in each priority controlled pollutant and the comprehensive concentration index of each priority controlled pollutant, and then obtains the comprehensive contribution rate of each priority controlled pollutant by combining the weights, and finally obtains the final water environment health value by combining the above parameters, which can not only effectively guarantee the accuracy of the quantitative analysis, but also effectively ensure the accuracy of the warning level setting, so as to obtain more accurate and scientific warning information;

[0050] In addition, the quantitative processing method of the present invention can not only effectively ensure the scientificity and accuracy of pollutant tracing, but also locate pollutants more conveniently and quickly, and can effectively avoid misjudgment and missed judgment. This provides powerful tools and technical support for environmental protection departments and relevant regulatory agencies, helps to take effective governance measures in a timely manner, reduce the occurrence of environmental pollution incidents, protect water resources, ensure public health, and provide data support for the formulation of more scientific and accurate environmental management policies. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 It is a flow chart of a method for detecting typical pollutants in a water environment provided by an embodiment of the present invention;

[0053] Figure 2 It is a framework diagram of a detection system for typical pollutants in a water environment provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0055] Embodiment 1: Figure 1 As shown, the present invention provides a method for detecting typical pollutants in water environment, comprising the following steps:

[0056] Step S1, qualitatively identifying priority controlled pollutants in the water environment by using multiple portable Raman spectrometers, and collecting pollutant data of each priority controlled pollutant and performing pre-processing, wherein the pollutant data includes concentration data;

[0057] It is worth noting that, regarding the portable Raman spectrometer mentioned above, multiple high-sensitivity, high-resolution portable Raman spectrometers are selected, and the water sampling equipment includes but is not limited to water samplers, filtering devices, sample bottles, etc.; in this embodiment, the following typical priority pollutants are selected for detection: organophosphorus pesticides: including but not limited to pollutants such as cypermethrin, bromophos, and omethoate; polycyclic aromatic hydrocarbons: including but not limited to pollutants such as anthracene, pyrene, and naphthalene; organic dyes: including but not limited to pollutants such as malachite green and rhodamine 6G; heavy metals: including but not limited to pollutants such as pentavalent arsenic and antimony.

[0058] The following are the specific detection steps in this embodiment:

[0059] 1. Sample collection;

[0060] Sampling point selection: Select multiple representative sampling points based on the characteristics of the water body and the distribution of pollution sources, for example, at different sections of rivers, different areas of lakes, and the outlets of sewage treatment plants;

[0061] Sampling method: Use a water sampler to collect a certain volume of water sample (usually 1 liter) at each sampling point, and put the water samples into clean sample bottles respectively. For samples that need to be filtered on site, use a 0.45-micron filter membrane for filtration.

[0062] 2. Qualitative identification;

[0063] Raman spectroscopy measurement: Set the parameters of each portable Raman spectrometer, such as laser wavelength (785nm), integration time (5 seconds), and number of scans (3 times), and then perform Raman spectroscopy measurement on the water sample in each sample bottle in turn;

[0064] Data recording: After each measurement, record the Raman spectrum and save the relevant data. Each Raman spectrometer should have a unique identification so that the specific instrument and sampling point can be traced back in subsequent data analysis.

[0065] 3. Data preprocessing includes but is not limited to the following steps:

[0066] Background subtraction: Use data processing software to subtract background signals from each Raman spectrum to reduce noise interference;

[0067] Baseline correction: Perform baseline correction on the spectrum after background subtraction to make the spectrum curve smooth;

[0068] Peak identification: Use spectral libraries (such as the NIST spectral library) and built-in algorithms to automatically identify characteristic peaks in the spectrum and determine the types of pollutants that may be present;

[0069] Concentration calculation: For pollutants with known standard substances, the concentration of pollutants in the actual sample can be calculated by comparing the Raman spectrum intensity of the standard sample. For unknown substances, quantitative analysis methods such as internal standard method or external standard method can be used to estimate the concentration;

[0070] Data standardization: All preprocessed data are standardized to ensure consistency and comparability between different instruments.

[0071] The pollutant data mentioned above mainly include the concentration data of pollutants. For organophosphorus pesticides, the concentration data of pollutants such as cypermethrin, propylbromophos and omethoate are recorded at each sampling point; for polycyclic aromatic hydrocarbons, the concentration data of pollutants such as anthracene, pyrene and naphthalene are recorded at each sampling point; for organic dyes, the concentration data of pollutants such as malachite green and rhodamine 6G are recorded at each sampling point; for heavy metals, the concentration data of pollutants such as pentavalent arsenic and antimony are recorded at each sampling point.

[0072] Step S2: transmitting the pollutant data of each priority pollutant after pretreatment to the environmental pollutant detection cloud platform through a wireless network, and the environmental pollutant detection cloud platform performs analysis to obtain a water environment health value;

[0073] Step S2a, performing pollution concentration analysis on the pollutant data of each priority controlled pollutant after pre-processing through the environmental pollutant detection cloud platform to obtain the concentration index of each pollutant in each priority controlled pollutant;

[0074] Step S2a1, calling the peak concentration of each pollutant in each priority controlled pollutant through the environmental pollutant detection cloud platform;

[0075] It is worth noting that in step S1, the pollutant data of each priority-controlled pollutant have been collected and preprocessed by multiple portable Raman spectrometers, and these data have been stored in the database of the environmental pollutant detection cloud platform. Subsequently, the environmental pollutant detection cloud platform calls the concentration data of each pollutant in each priority-controlled pollutant from the database through an API interface or a database query statement;

[0076] Step S2a2, obtaining the concentration standard value of each pollutant in each priority controlled pollutant;

[0077] It is worth noting that the concentration standard value of each pollutant in each priority controlled pollutant must be obtained according to the water quality standards issued by the local environmental protection department to ensure the consistency and reliability of the data;

[0078] Step S2a3, obtaining a concentration index of each pollutant in each priority controlled pollutant according to the concentration peak value of each pollutant in each priority controlled pollutant and the concentration standard value of each pollutant in each priority controlled pollutant;

[0079] Among them, the calculation formula for the concentration index of each pollutant in each priority controlled pollutant is:

[0080]

[0081] Among them, I cij represents the concentration index of the jth pollutant among the i-th priority controlled pollutants; C pij represents the peak concentration of the jth pollutant among the i-th priority controlled pollutants; C sij Represents the concentration standard value of the jth pollutant among the i-th priority controlled pollutants;

[0082] Step S2b, obtaining a comprehensive concentration index of each priority controlled pollutant according to the concentration index of each pollutant in each priority controlled pollutant;

[0083] Step S2b1, through the environmental pollutant detection cloud platform, call the concentration data of each pollutant in each priority controlled pollutant of at least two groups, and perform averaging processing to obtain the average concentration data of each pollutant in each priority controlled pollutant, and obtain the standard deviation of the concentration data of each pollutant in each priority controlled pollutant according to the average concentration data;

[0084] Step S2b2, analyzing the impact of each pollutant in each priority controlled pollutant on water environment pollution, and assigning a weight to each pollutant in each priority controlled pollutant according to the analysis results;

[0085] It is worth mentioning that regarding the impact analysis, we first consulted relevant literature and research reports to understand the impact of each pollutant in each priority controlled pollutant on water pollution, such as organophosphorus pesticides: highly toxic, with serious impacts on aquatic life; polycyclic aromatic hydrocarbons: carcinogens, long-term exposure is harmful to human health; organic dyes: difficult to degrade, with long-term impacts on aquatic ecosystems; heavy metals: highly cumulative, with lasting harm to aquatic life and human health; then we invited experts in the field of environmental science to evaluate and discuss the impact of each pollutant in each priority controlled pollutant; then, based on literature research and expert opinions, we conducted an evaluation of the impact of each pollutant in each priority controlled pollutant. The following methods can be used to quantitatively analyze the impact of each pollutant: Preferably, the hierarchical analysis method is used: a hierarchical model is constructed, and the importance weight of each pollutant is determined through a pairwise comparison matrix; the hierarchical analysis method mainly includes the following three steps: first, a hierarchical model is constructed, including a target layer such as the water environment pollution layer, a criterion layer such as the priority pollutants identified above: organophosphorus pesticides, polycyclic aromatic hydrocarbons, organic dyes, heavy metals, etc., and a solution layer such as each pollutant contained in each priority pollutant; then, the relative importance of each layer is determined through a pairwise comparison matrix; finally, the eigenvector and consistency test are calculated to obtain the final weight.

[0086] Step S2b3, according to the average concentration data of each pollutant in each priority controlled pollutant, the standard deviation of the concentration data of each pollutant in each priority controlled pollutant, the weight of each pollutant in each priority controlled pollutant, and the concentration index of each pollutant in each priority controlled pollutant, obtain the comprehensive concentration index of each priority controlled pollutant;

[0087] Among them, the calculation formula for the comprehensive concentration index of each priority controlled pollutant is:

[0088]

[0089] Among them, I ci represents the comprehensive concentration index of the i-th priority controlled pollutant; C avg,ij represents the average concentration data of the jth pollutant among the i-th priority controlled pollutants; W ij Represents the weight of the jth pollutant among the i-th priority controlled pollutants; I cij represents the concentration index of the jth pollutant among the i-th priority controlled pollutants; k represents the adjustment coefficient, which is used to balance the relationship between the average concentration and the concentration fluctuation; SD ij represents the standard deviation of the concentration data of the jth pollutant among the i-th priority controlled pollutants; n i Represents the number of pollutants in the i-th priority controlled pollutant;

[0090] Step S2c, comparing the concentration index of each pollutant in each priority controlled pollutant with the comprehensive concentration index of each priority controlled pollutant to obtain the contribution rate of each pollutant in each priority controlled pollutant;

[0091] Among them, the calculation formula for the contribution rate of each pollutant in each priority controlled pollutant is:

[0092]

[0093] Among them, R ij represents the contribution rate of the jth pollutant in the ith priority controlled pollutant; I cij Represents the concentration index of the jth pollutant among the i-th priority controlled pollutants; I ci Represents the comprehensive concentration index of the i-th priority controlled pollutant;

[0094] Step S2d, obtaining a comprehensive contribution rate of each priority controlled pollutant according to the contribution rate of each pollutant in each priority controlled pollutant;

[0095] Among them, the calculation formula for the comprehensive contribution rate of each priority controlled pollutant is:

[0096]

[0097] Among them, R ci represents the comprehensive contribution rate of the ith priority controlled pollutant; R ij represents the contribution rate of the jth pollutant in the ith priority controlled pollutant; W ij represents the weight of the jth pollutant among the i-th priority controlled pollutants; n i Represents the number of pollutants in the i-th priority controlled pollutant;

[0098] Step S2e, obtaining a water environment health value according to the concentration index of each pollutant in each priority controlled pollutant, the comprehensive concentration index of each priority controlled pollutant, the contribution rate of each pollutant in each priority controlled pollutant, and the comprehensive contribution rate of each priority controlled pollutant;

[0099] The calculation formula for the water environment health value is:

[0100]

[0101] Among them, H represents the water environment health value; I ci Represents the comprehensive concentration index of the i-th priority controlled pollutant; I cij represents the concentration index of the jth pollutant among the i-th priority controlled pollutants; R ij represents the contribution rate of the jth pollutant in the ith priority controlled pollutant; R ci represents the comprehensive contribution rate of the ith priority controlled pollutant; m represents the total number of priority controlled pollutants; ni Represents the number of pollutants in the i-th priority controlled pollutant;

[0102] Step S3, setting at least two thresholds for the water environment health value, and dividing the water environment health value by the thresholds, and determining the water environment pollution level according to the division results;

[0103] The thresholds include a first threshold, a second threshold, a third threshold, a fourth threshold, and a fifth threshold; when the water environment health value is less than the first threshold, the water environment pollution level is determined to be level one; when the water environment health value is greater than or equal to the first threshold and less than the second threshold, the water environment pollution level is determined to be level two; when the water environment health value is greater than or equal to the second threshold and less than the third threshold, the water environment pollution level is determined to be level three; when the water environment health value is greater than or equal to the third threshold and less than the fourth threshold, the water environment pollution level is determined to be level four; when the water environment health value is greater than or equal to the fourth threshold and less than the fifth threshold, the water environment pollution level is determined to be level five; when the water environment health value is greater than or equal to the fifth threshold, the water environment pollution level is determined to be level six;

[0104] Step S4: setting a water environment warning level according to the water environment pollution level, tracing the source of pollutants in the water environment according to the warning level, and adopting a water environment restoration strategy based on the tracing results;

[0105] It is worth noting that with regard to pollutant tracing, the water environment pollution level should be traced back according to the warning level, and then the water environment health value should be determined based on the water environment pollution level. Then, the priority controlled pollutants with the highest comprehensive contribution rate should be called up in the calculation process of the water environment health value, and then the top N pollutants in contribution rate should be determined from the priority controlled pollutants. At the same time, the pollutants with top N contribution rates among the remaining priority controlled pollutants should be confirmed, and then these top N pollutants should be integrated and targeted water environment restoration strategies should be adopted. Of course, it is preferable that when there is a low comprehensive contribution rate, it will not affect the final calculated water environment health value. The impact means that when the final calculated water environment health value passes the threshold judgment, regardless of whether the priority controlled pollutants with low comprehensive contribution rates are involved in the calculation of the water environment health value, it will not cause the water environment health value to deviate from the current threshold range, that is, it will not change the current water environment pollution level. If it always remains between the third threshold and the fourth threshold, there is no need to trace the pollutants in the priority controlled pollutants. This will not only not affect the final water environment governance, but also can effectively speed up the formulation of water environment restoration strategies. Of course, it is worth further consideration that the pollutants with the highest ranking among the priority controlled pollutants with low comprehensive contribution rates, that is, the pollutants with the highest contribution rate, can also be included in the formulation of the final water environment restoration strategy. This can also be more scientific, effective and comprehensive in the governance of water environment pollution.

[0106] Embodiment 2: Figure 2As shown, the present invention also proposes a detection system for typical pollutants in water environment, which executes the above-mentioned detection method for typical pollutants in water environment, including the following modules:

[0107] Data acquisition and preprocessing module: used to qualitatively identify priority pollutants in the water environment through multiple portable Raman spectrometers, and to collect pollutant data of each priority pollutant and perform preprocessing, wherein the pollutant data includes concentration data;

[0108] Analysis and calculation module: connected to the data acquisition and preprocessing module, used to transmit the pollutant data of each priority pollutant after preprocessing to the environmental pollutant detection cloud platform through a wireless network, and the environmental pollutant detection cloud platform performs analysis to obtain the water environment health value;

[0109] Threshold determination module: connected to the analysis and calculation module, used to set at least two thresholds for the water environment health value, and divide the water environment health value by the thresholds, and determine the water environment pollution level according to the division results;

[0110] Early warning module: connected to the threshold determination module, used to set the water environment early warning level according to the water environment pollution level, trace the pollutants in the water environment according to the early warning level, and adopt a water environment restoration strategy based on the tracing results.

[0111] It should be noted that the terms used in the present invention are only for describing specific embodiments, rather than limiting the scope of the present application. As shown in the present specification, unless the context clearly indicates an exception, the words "one", "a", "a kind of" and / or "the" do not specifically refer to the singular, but may also include the plural. The terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method or device. In the absence of more restrictions, the elements defined by the sentence "include one..." do not exclude the presence of other identical elements in the process, method or device including the elements.

[0112] It should also be noted that the orientations or positional relationships indicated by the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc. are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", etc. should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0113] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting typical pollutants in water environment, characterized in that: The following steps are involved: Step S1, qualitatively identifying priority controlled pollutants in the water environment by using multiple portable Raman spectrometers, and collecting pollutant data of each priority controlled pollutant and performing pre-processing, wherein the pollutant data includes concentration data; Step S2: transmitting the pollutant data of each priority pollutant after pretreatment to the environmental pollutant detection cloud platform through a wireless network, and the environmental pollutant detection cloud platform performs analysis to obtain a water environment health value; Step S2a, performing pollution concentration analysis on the pollutant data of each priority controlled pollutant after pre-processing through the environmental pollutant detection cloud platform to obtain the concentration index of each pollutant in each priority controlled pollutant; Step S2b, obtaining a comprehensive concentration index of each priority controlled pollutant according to the concentration index of each pollutant in each priority controlled pollutant; Step S2c, comparing the concentration index of each pollutant in each priority controlled pollutant with the comprehensive concentration index of each priority controlled pollutant to obtain the contribution rate of each pollutant in each priority controlled pollutant; Step S2d, obtaining a comprehensive contribution rate of each priority controlled pollutant according to the contribution rate of each pollutant in each priority controlled pollutant; Step S2e, obtaining a water environment health value according to the concentration index of each pollutant in each priority controlled pollutant, the comprehensive concentration index of each priority controlled pollutant, the contribution rate of each pollutant in each priority controlled pollutant, and the comprehensive contribution rate of each priority controlled pollutant; Step S3, setting at least two thresholds for the water environment health value, and dividing the water environment health value by the thresholds, and determining the water environment pollution level according to the division results; Step S4: setting a water environment warning level according to the water environment pollution level, tracing the source of pollutants in the water environment according to the warning level, and adopting a water environment restoration strategy based on the tracing results.

2. The method for detecting typical pollutants in water environment according to claim 1, characterized in that: The environmental pollutant detection cloud platform performs pollution concentration analysis on the pollutant data of each priority controlled pollutant after pre-processing to obtain the concentration index of each pollutant in each priority controlled pollutant, including: Step S2a1, calling the peak concentration of each pollutant in each priority controlled pollutant through the environmental pollutant detection cloud platform; Step S2a2, obtaining the concentration standard value of each pollutant in each priority controlled pollutant; Step S2a3, obtaining a concentration index of each pollutant in each priority controlled pollutant according to the concentration peak value of each pollutant in each priority controlled pollutant and the concentration standard value of each pollutant in each priority controlled pollutant; The calculation formula of concentration index is: Among them, I cij represents the concentration index of the jth pollutant among the i-th priority controlled pollutants; C pij represents the peak concentration of the jth pollutant among the i-th priority controlled pollutants; C sij Represents the concentration standard value of the jth pollutant among the ith priority controlled pollutant.

3. The method for detecting typical pollutants in water environment according to claim 1, characterized in that: The comprehensive concentration index of each priority controlled pollutant is obtained according to the concentration index of each pollutant in each priority controlled pollutant, including: Step S2b1, through the environmental pollutant detection cloud platform, call the concentration data of each pollutant in each priority controlled pollutant of at least two groups, and perform averaging processing to obtain the average concentration data of each pollutant in each priority controlled pollutant, and obtain the standard deviation of the concentration data of each pollutant in each priority controlled pollutant according to the average concentration data; Step S2b2, analyzing the impact of each pollutant in each priority controlled pollutant on water environment pollution, and assigning a weight to each pollutant in each priority controlled pollutant according to the analysis results; Step S2b3, according to the average concentration data of each pollutant in each priority controlled pollutant, the standard deviation of the concentration data of each pollutant in each priority controlled pollutant, the weight of each pollutant in each priority controlled pollutant, and the concentration index of each pollutant in each priority controlled pollutant, obtain the comprehensive concentration index of each priority controlled pollutant.

4. The method for detecting typical pollutants in water environment according to claim 3, characterized in that: The calculation formula of the comprehensive concentration index is: Among them, I ci represents the comprehensive concentration index of the i-th priority controlled pollutant; C avg,ij represents the average concentration data of the jth pollutant among the i-th priority controlled pollutants; W ij represents the weight of the jth pollutant among the i-th priority controlled pollutants; I cij represents the concentration index of the jth pollutant among the i-th priority controlled pollutants; k represents the adjustment coefficient, which is used to balance the relationship between the average concentration and the concentration fluctuation; SD ij represents the standard deviation of the concentration data of the jth pollutant among the i-th priority controlled pollutants; n i Represents the number of pollutants in the i-th priority controlled pollutant.

5. The method for detecting typical pollutants in water environment according to claim 1, characterized in that: The calculation formula of the contribution rate is: Among them, R ij represents the contribution rate of the jth pollutant in the ith priority controlled pollutant; I cij Represents the concentration index of the jth pollutant among the i-th priority controlled pollutants; I ci Represents the comprehensive concentration index of the i-th priority controlled pollutant.

6. The method for detecting typical pollutants in water environment according to claim 1, characterized in that: The calculation formula of the comprehensive contribution rate is: Among them, R ci represents the comprehensive contribution rate of the ith priority controlled pollutant; R ij represents the contribution rate of the jth pollutant in the ith priority controlled pollutant; W ij represents the weight of the jth pollutant among the i-th priority controlled pollutants; n i Represents the number of pollutants in the i-th priority controlled pollutant.

7. The method for detecting typical pollutants in water environment according to claim 1, characterized in that: The calculation formula of the health value is: Among them, H represents the water environment health value; I ci Represents the comprehensive concentration index of the i-th priority controlled pollutant; I cij represents the concentration index of the jth pollutant among the i-th priority controlled pollutants; R ij represents the contribution rate of the jth pollutant in the ith priority controlled pollutant; R ci represents the comprehensive contribution rate of the ith priority controlled pollutant; m represents the total number of priority controlled pollutants; n i Represents the number of pollutants in the i-th priority controlled pollutant.

8. The method for detecting typical pollutants in water environment according to claim 1, characterized in that: The thresholds include a first threshold, a second threshold, a third threshold, a fourth threshold, and a fifth threshold; when the water environment health value is less than the first threshold, the water environment pollution level is determined to be level one; when the water environment health value is greater than or equal to the first threshold and less than the second threshold, the water environment pollution level is determined to be level two; when the water environment health value is greater than or equal to the second threshold and less than the third threshold, the water environment pollution level is determined to be level three; when the water environment health value is greater than or equal to the third threshold and less than the fourth threshold, the water environment pollution level is determined to be level four; when the water environment health value is greater than or equal to the fourth threshold and less than the fifth threshold, the water environment pollution level is determined to be level five; when the water environment health value is greater than or equal to the fifth threshold, the water environment pollution level is determined to be level six.

9. A detection system for typical pollutants in water environment, used to execute a detection method for typical pollutants in water environment as claimed in any one of claims 1 to 8, characterized in that: The system comprises: Data acquisition and preprocessing module: used to qualitatively identify priority pollutants in the water environment through multiple portable Raman spectrometers, and to collect pollutant data of each priority pollutant and perform preprocessing, wherein the pollutant data includes concentration data; Analysis and calculation module: connected to the data acquisition and preprocessing module, used to transmit the pollutant data of each priority pollutant after preprocessing to the environmental pollutant detection cloud platform through a wireless network, and the environmental pollutant detection cloud platform performs analysis to obtain the water environment health value; Threshold determination module: connected to the analysis and calculation module, used to set at least two thresholds for the water environment health value, and divide the water environment health value by the thresholds, and determine the water environment pollution level according to the division results; Early warning module: connected to the threshold determination module, used to set the water environment early warning level according to the water environment pollution level, trace the pollutants in the water environment according to the early warning level, and adopt a water environment restoration strategy based on the tracing results.

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