CN115684527A - Method for monitoring non-aqueous phase liquid - Google Patents
Method for monitoring non-aqueous phase liquid Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
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Abstract
The present disclosure provides a method of monitoring a non-aqueous liquid. The method comprises the steps of extracting an environmental sample near a preset monitoring depth through a targeted sampling device, and detecting the environmental sample through a sample monitoring device to obtain sample detection values of various detection parameters. And verifying the accuracy of the real-time detection values of the various detection parameters detected by the real-time monitoring device near the preset monitoring depth by using the sample detection values of the various detection parameters. The method realizes dynamic online monitoring and target depth-setting undisturbed automatic sampling of underground water NAPLs pollutants, ensures the accuracy of detection, ensures higher precision of real-time detection results, has wider application range, and can be widely popularized and applied to underground water monitoring and early warning and pollution prevention and control work in key areas and industrial parks.
Description
Technical Field
The disclosure relates to the technical field of environmental monitoring, in particular to a method for monitoring non-aqueous phase liquid.
Background
With the rapid development of the industry in China, a large amount of industrial three wastes are discharged, and the environment quality condition of underground water in China is seriously threatened by using and producing petroleum and chemical products in a large amount.
Organic pollutants are a difficult point and a key point for treatment among a plurality of underground water pollutants. After entering the groundwater, the organic pollutants usually pollute the groundwater in the form of Non-Aqueous Phase Liquids (NAPLs), wherein Light Non-Aqueous Phase Liquids (LNAPLs) float on the surface and have a density lower than that of water, heavy Non-Aqueous Phase Liquids (DNAPLs) float on the bottom and have a density higher than that of water, and NAPLs pollutants have a migration movement law and a pollution diffusion path in the groundwater complicated because the pollutants have a specific gravity higher than that of water or lower than that of water. NAPLs real-time sampling and online monitoring are carried out on the underground water in the high risk area, which has important significance for effectively preventing the pollution of the underground water and ensuring the safety of the environment quality of the underground water.
At present, sampling personnel can only carry out conventional water quality monitoring on a water body environment, and on-site sampling is mostly adopted, so that the time and the labor are consumed, and the monitoring precision is low. Therefore, environmental protection departments cannot know the underground water condition in time and further cannot trace the pollution source in time to prevent pollution.
Accordingly, the present disclosure provides a method for monitoring a non-aqueous liquid to solve one of the above technical problems.
Disclosure of Invention
The present disclosure is directed to a method for monitoring a non-aqueous liquid, which solves at least one of the above-mentioned problems. The specific scheme is as follows:
according to a specific embodiment of the present disclosure, in a first aspect, the present disclosure provides a method for monitoring a non-aqueous liquid, comprising:
controlling a real-time monitoring device to detect real-time detection values of multiple detection parameters at a first position near any preset monitoring depth in the water body environment of the monitoring well, wherein the multiple detection parameters are related to pollution of non-aqueous phase liquid;
when the real-time detection value of any detection parameter exceeds the detection parameter early warning threshold value of the corresponding detection parameter, controlling a targeted sampling device to extract an environmental sample at a second position near the preset monitoring depth in the water body environment of the monitoring well based on the real-time detection values of various detection parameters, and storing the environmental sample in a sample monitoring device;
detecting the environmental sample through the sample monitoring device to obtain sample detection values of various detection parameters;
respectively verifying the effectiveness of the real-time detection values of the corresponding detection parameters based on the sample detection values of the various detection parameters to obtain effectiveness results of the real-time detection values of the corresponding detection parameters;
obtaining a detection error rate of the preset monitoring depth based on an effectiveness result of a real-time detection value of the plurality of detection parameters;
and when the detection error rate is less than or equal to a preset error rate threshold value, determining that the real-time detection values of the multiple detection parameters of the preset monitoring depth are all accurate.
Optionally, the verifying the validity of the real-time detection values of the corresponding detection parameters respectively by the sample detection values based on the various detection parameters to obtain validity results of the real-time detection values of the corresponding detection parameters includes:
respectively obtaining error values of corresponding detection parameters based on sample detection values of various detection parameters and real-time detection values of the corresponding detection parameters;
when the absolute value of the error value of any detection parameter is larger than the preset error threshold value of the corresponding detection parameter, determining that the real-time detection value of the corresponding detection parameter is invalid;
and when the absolute value of the error value of any detection parameter is less than or equal to the preset error threshold value of the corresponding detection parameter, determining that the real-time detection value of the corresponding detection parameter is effective.
Optionally, the obtaining a detection error rate of the preset monitoring depth based on an effectiveness result of the real-time detection values of the multiple detection parameters includes:
counting the invalid number based on the validity result of the real-time detection value of the plurality of detection parameters;
and obtaining the detection error rate of the preset monitoring depth based on the invalid number and the number of the various detection parameters.
Optionally, the method further includes:
when the detection error rate is less than or equal to a preset error rate threshold value, controlling the sample monitoring device to bottle the environmental sample for detection again.
Optionally, the method further includes:
and when the detection error rate is greater than a preset error rate threshold value, controlling the sample monitoring device to discharge the environmental sample to a sample recoverer, and triggering the operation of controlling the real-time monitoring device to detect the real-time detection values of various detection parameters again.
Optionally, when the real-time monitoring device is controlled to detect the real-time detection values of the multiple detection parameters at the first position near any preset monitoring depth, the method further includes:
controlling a real-time monitoring device to acquire a first liquid level value at the first position;
further, the step of controlling the target sampling device to extract the environmental sample based on the real-time detection values of the plurality of detection parameters at a second position near the preset monitoring depth in the water environment of the monitoring well comprises:
in the process of adjusting the targeted sampling device to move to a position near the preset monitoring depth in the water body environment of the monitoring well, controlling the targeted sampling device to acquire the current liquid level value;
obtaining a liquid level difference value based on the first level value and the current level value;
and when the absolute value of the liquid level difference value is smaller than or equal to a preset liquid level difference threshold value, determining that the position of the current liquid level value is a second position, and controlling the targeted sampling device to extract the environmental sample at the second position based on real-time detection values of various detection parameters.
Optionally, the controlling the target sampling device to extract the environmental sample based on the real-time detection values of the plurality of detection parameters includes:
determining a sampling rate value for the targeted sampling device based on real-time detection values of the plurality of detection parameters;
controlling the targeted sampling device to extract the environmental sample based on the sampling rate value.
Optionally, the method further includes:
and after the real-time detection values of the multiple detection parameters of the preset monitoring depth are determined to be accurate, when the real-time detection value of any detection parameter exceeds the detection parameter early warning threshold value of the corresponding detection parameter, prompting the early warning information of the corresponding detection parameter.
Optionally, the method further includes:
obtaining an average real-time detection value of a corresponding detection parameter based on a plurality of real-time detection values obtained by any detection parameter within a preset time period;
and obtaining a detection parameter early warning threshold value of the corresponding detection parameter based on the average real-time detection value of the detection parameter and a preset early warning multiple value.
Optionally, the method further includes:
and prompting the alarm information of the corresponding detection parameter when the real-time detection value of any detection parameter exceeds the preset detection parameter alarm threshold value of the corresponding detection parameter after the real-time detection values of the multiple detection parameters of the preset monitoring depth are determined to be accurate, wherein the preset detection parameter alarm threshold value is larger than the detection parameter early warning threshold value.
Compared with the prior art, the scheme of the embodiment of the disclosure at least has the following beneficial effects:
the present disclosure provides a method of monitoring a non-aqueous liquid. The method comprises the steps of extracting an environmental sample near a preset monitoring depth through a targeted sampling device, and detecting the environmental sample through a sample monitoring device to obtain sample detection values of various detection parameters. And verifying the accuracy of the real-time detection values of the various detection parameters detected by the real-time monitoring device near the preset monitoring depth by using the sample detection values of the various detection parameters. The method realizes dynamic online monitoring and target depth-setting undisturbed automatic sampling of underground water NAPLs pollutants, ensures the accuracy of detection, ensures higher precision of real-time detection results, has wider application range, and can be widely popularized and applied to underground water monitoring and early warning and pollution prevention and control work in key areas and industrial parks.
The method can dynamically and continuously monitor NAPLs substances at different depths in the water body environment of high-risk areas such as industrial parks and the like in real time, and complete the monitoring work of the whole water body environment in the monitoring well, so that data analysis and water body environment pollution condition simulation can be carried out at the later stage. The monitoring data (such as pollution data and pollution depth) of the monitoring depth are combined, the target sampling device is controlled to be accurately adjusted to the monitoring depth of the real-time monitoring device, the depth-setting disturbance-free automatic sampling work is carried out, and the accuracy and the effectiveness of the environmental sample are guaranteed.
On the basis that the real-time detection values of the multiple detection parameters of the preset monitoring depth are accurate, the detection parameter early warning threshold value and the preset detection parameter alarm threshold value of each detection parameter are combined, secondary safety monitoring is conducted on the real-time detection values of the detection parameters, monitoring data can be uploaded to a cloud database and a computer smart phone terminal, a user can master real-time pollution information of a water body environment at any time through a computer and a smart terminal and conduct remote control, emergency treatment can be conducted on a pollution source in the first time of pollution occurrence, and the pollution prevention range is further enlarged.
Drawings
FIG. 1 shows a relational schematic of a monitoring system for a non-aqueous liquid according to an embodiment of the disclosure;
FIG. 2 shows a schematic structural diagram of a non-aqueous phase liquid monitoring system according to an embodiment of the present disclosure;
FIG. 3 shows a flow diagram of a method of monitoring a non-aqueous liquid according to an embodiment of the present disclosure;
description of the reference numerals
1-a central control device, 2-a real-time monitoring device, 3-a target sampling device, 4-a sample monitoring device and 41-a sample recoverer.
Detailed Description
To make the objects, technical solutions and advantages of the present disclosure clearer, the present disclosure will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present disclosure, rather than all embodiments. All other embodiments, which can be derived by one of ordinary skill in the art from the embodiments disclosed herein without making any creative effort, shall fall within the scope of protection of the present disclosure.
The terminology used in the embodiments of the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in the disclosed embodiments and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and "a plurality" typically includes at least two.
It should be understood that the term "and/or" as used herein is merely a relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B, may represent: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used in the embodiments of the present disclosure, these descriptions should not be limited to these terms. These terms are only used to distinguish one description from another. For example, a first could also be termed a second, and, similarly, a second could also be termed a first, without departing from the scope of embodiments of the present disclosure.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (a stated condition or event)" may be interpreted as "upon determining" or "in response to determining" or "upon detecting (a stated condition or event)" or "in response to detecting (a stated condition or event)", depending on the context.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that an article or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such article or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another like element in a commodity or device comprising the element.
It is to be noted that the symbols and/or numerals present in the description are not reference numerals if they are not labeled in the description of the figures.
Alternative embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
Embodiments provided in the present disclosure are embodiments of a method for monitoring a non-aqueous liquid.
As shown in fig. 1 and 2, embodiments of the present disclosure relate to a monitoring system for non-aqueous liquids. The non-aqueous liquid monitoring system comprises: the system comprises a central control device 1, a real-time monitoring device 2, a targeted sampling device 3 and a sample monitoring device 4.
The real-time monitoring device 2 is configured to respectively obtain real-time detection values and liquid level values of various detection parameters corresponding to preset monitoring depths based on monitoring instructions sent by the central control device 1 for each preset monitoring depth in the water body environment of the monitoring well.
The monitoring system periodically utilizes the real-time monitoring device 2 to carry out real-time detection on the water environment of the monitoring well, and the water environment of a plurality of preset monitoring depths is detected at each time. And (3) starting from the water body environment 0.5m below the water surface of the monitoring well, sequentially detecting by using two gradients with the height difference value of 2-10 m adjacent to the preset monitoring depth until the bottom of the monitoring well is detected.
The targeted sampling device 3 is configured to extract an environmental sample corresponding to each preset monitoring depth in the water body environment based on a sampling instruction sent by the central control device 1 for each preset monitoring depth, and obtain a level value corresponding to each preset monitoring depth.
The sample monitoring device 4 is communicated with the targeted sampling device 3 through a pipeline, is configured to collect environmental samples of each preset monitoring depth through the targeted sampling device 3, and obtains sample detection values of the multiple detection parameters based on each environmental sample.
The central control device 1 is in communication connection with the real-time monitoring device 2, the targeted sampling device 3 and the sample monitoring device 4 respectively, and is used for controlling functions of each device in the system, data analysis, monitoring, early warning and the like.
Wherein, the monitoring instruction can control real-time supervision device 2 and reach each and predetermine the monitoring depth and monitor the quality of water of predetermineeing the monitoring depth, once only obtains multiple real-time supervision data.
The sampling instruction can control the targeted sampling device 3 to reach each preset monitoring depth and sample the water quality of each preset monitoring depth.
The method of the embodiment of the present disclosure is applied to the central control apparatus 1.
The embodiments of the present disclosure are described in detail below with reference to fig. 3.
Step S301, controlling the real-time monitoring device 2 to detect real-time detection values of various detection parameters at a first position near any preset monitoring depth in the water body environment of the monitoring well.
Wherein the plurality of detection parameters are associated with contamination of the non-aqueous phase liquid.
The water body environment of the monitoring well often contains unconventional NAPLs, and because the specific gravity of NAPLs pollutants is larger than or smaller than that of water, the migration movement law and the pollution diffusion path in underground water are very complicated. NAPLs real-time sampling and online monitoring are carried out on the underground water in the high risk area, which has important significance for effectively preventing the pollution of the underground water and ensuring the safety of the environment quality of the underground water.
The NAPLs include: LNAPLs and DNAPLs. In the water environment of the monitoring well, the LNAPLs include benzene series and petroleum hydrocarbons; DNAPLs include: halogenated alkanes, halogenated alkenes, 1,1-dichloroethylene, cis-1,2-dichloroethylene, trans-1,2-dichloroethylene, cis-1,3-dichloropropene, trans-1,3-dichloropropene, tetrachloroethylene, trichloroethylene, and halogenated aromatics.
The detection parameters include parameters for detecting LNAPLs and/or DNAPLs.
Due to the influence of factors such as water body disturbance, the real-time monitoring device 2 cannot be controlled to accurately reach the preset monitoring depth, and therefore, during real-time detection, the real-time monitoring device 2 can only be controlled to reach the first position near the preset monitoring depth.
Step S302, when the real-time detection value of any detection parameter exceeds the detection parameter early warning threshold value of the corresponding detection parameter, controlling the target sampling device 3 to extract an environmental sample at a second position near the preset monitoring depth in the water body environment of the monitoring well based on the real-time detection values of various detection parameters, and storing the environmental sample in the sample monitoring device 4.
Similarly, due to the influence of factors such as water disturbance, it cannot be guaranteed that the target sampling device 3 can accurately reach the preset monitoring depth, and therefore, during sampling, only the target sampling device 3 can be controlled to reach the second position near the preset monitoring depth.
The embodiment of the present disclosure controls the target sampling device 3 to sample near the corresponding preset monitoring position as long as the real-time detection value of any one detection parameter near the preset monitoring position is abnormal, that is, exceeds the detection parameter early warning threshold of the corresponding detection parameter, so as to further verify the accuracy of the real-time detection value.
In order to ensure the sampling accuracy, in some embodiments, when the real-time monitoring device 2 is controlled to detect the real-time detection values of the plurality of detection parameters at the first position near any preset monitoring depth, the method further includes the following steps: and controlling the real-time monitoring device 2 to acquire a first liquid level value at the first position.
Further, the step of controlling the target sampling device 3 to extract the environmental sample based on the real-time detection values of the plurality of detection parameters at a second position near the preset monitoring depth in the water body environment of the monitoring well comprises the following steps:
and S302-11, controlling the targeted sampling device 3 to acquire the current liquid level value in the process of adjusting the targeted sampling device 3 to move to the position near the preset monitoring depth in the water body environment of the monitoring well.
The current level value is the level value acquired by the target sampling device 3 in real time during the process of moving to the position near the preset monitoring depth.
And S302-12, obtaining a liquid level difference value based on the first liquid level value and the current liquid level value.
And the target sampling device 3 calculates the liquid level difference value in real time in the process of moving to the position near the preset monitoring depth.
Step S302-13, when the absolute value of the liquid level difference is smaller than or equal to a preset liquid level difference threshold, determining that the position of the current liquid level value is a second position, and controlling the targeted sampling device 3 to extract the environmental sample at the second position based on real-time detection values of various detection parameters.
The preset liquid level difference threshold value is 5cm. For example, the first position is 21m, when the current liquid level value of the targeted sampling device 3 is 10m, the liquid level difference =21m-10m =11m, and is greater than 5cm, the targeted sampling device 3 is controlled to move downwards; when the current liquid level value of the targeted sampling device 3 is 25m, the liquid level difference is =21m-25m = -4m, and the absolute value of the liquid level difference is 4m and is greater than 5cm, the targeted sampling device 3 is controlled to move upwards; when the current liquid level value of the targeted sampling device 3 is 21.03m, the liquid level difference =21m-21.03m = -3cm, and the absolute value of the liquid level difference is 3cm smaller than 5cm, the position 21.03m where the current liquid level value is located is the second position, and the targeted sampling device 3 extracts the environmental sample at the second position.
The embodiment ensures that the target sampling device 3 and the real-time monitoring device 2 can sample near the same preset monitoring depth through a relative approach method, so that the extracted environmental sample is closer to the water environment detected by the real-time monitoring device 2, and the verification accuracy is ensured.
In other embodiments, the controlling the target sampling device 3 to extract the environmental sample based on the real-time detection values of the plurality of detection parameters includes the following steps:
step S302-21, determining the sampling rate value of the target sampling device 3 based on the real-time detection values of the plurality of detection parameters.
The real-time detection values of the multiple detection parameters comprise main component information of non-aqueous phase liquid in the water body environment, and the corresponding sampling rate values can be obtained by analyzing the real-time detection values of the multiple detection parameters by using a parameter analysis model.
And S302-22, controlling the targeted sampling device 3 to extract the environmental sample based on the sampling rate value.
The embodiment adopts corresponding sampling rate aiming at the real-time detection values of different environmental samples, thereby ensuring the smooth sampling. Optionally, the sampling rate value is set within the range of 0.2-0.5L/min, so that undisturbed sampling of underground water is realized, and damage to the VOCs samples is reduced.
Step S303, detecting the environmental sample by the sample monitoring device 4, and obtaining sample detection values of various detection parameters.
Step S304, respectively carrying out validity verification on the real-time detection values of the corresponding detection parameters based on the sample detection values of the various detection parameters, and obtaining validity results of the real-time detection values of the corresponding detection parameters.
The validity results include valid and invalid. According to the embodiment of the disclosure, whether the real-time detection value is effective or not is verified through the sample detection value of the same detection parameter, so that the accuracy of the real-time detection near the preset monitoring depth is further ensured.
In some embodiments, the verifying the validity of the real-time detection values of the corresponding detection parameters based on the sample detection values of the various detection parameters respectively to obtain the validity results of the real-time detection values of the corresponding detection parameters includes:
and step S304-1, respectively obtaining error values of the corresponding detection parameters based on the sample detection values of the various detection parameters and the real-time detection values of the corresponding detection parameters.
The error value of the detection parameter refers to the difference value between the sample detection value of the detection parameter and the real-time detection value of the corresponding detection parameter.
For example, if the amount of haloolefin in the environmental sample is 10% and the real-time measured amount of haloolefin is 12%, the haloolefin error value is =10% -12% = -2%; the content of tetrachloroethylene in the environmental sample is 56%, and the real-time detection content of tetrachloroethylene is 20%, so that the error value of tetrachloroethylene is =56% -20% =36%.
Step S304-2, when the absolute value of the error value of any detection parameter is greater than the preset error threshold value of the corresponding detection parameter, determining that the real-time detection value of the corresponding detection parameter is invalid.
For example, continuing with the above example, if the predetermined error threshold for tetrachloroethylene is 10% and the absolute value of the error value for tetrachloroethylene is 36%, which is greater than the predetermined error threshold for tetrachloroethylene by 10%, then the real-time detection value for tetrachloroethylene is invalid.
And S304-3, when the absolute value of the error value of any detection parameter is less than or equal to the preset error threshold value of the corresponding detection parameter, determining that the real-time detection value of the corresponding detection parameter is effective.
For example, continuing with the above example, if the threshold predetermined error value for the haloolefin is 5% and the absolute value of the error value for the haloolefin is 2%, which is less than the threshold predetermined error value for the haloolefin by 5%, then the real-time detection value for the haloolefin is valid.
Step S305, obtaining a detection error rate of the preset monitoring depth based on the validity result of the real-time detection values of the plurality of detection parameters.
The water environment of the monitoring well has certain fluidity. Therefore, the embodiment of the present disclosure performs overall evaluation on the real-time detection value near the preset monitoring depth by using the sample detection value of the environmental sample near the preset monitoring depth. To determine the overall accuracy of the real-time inspection values.
In some embodiments, the obtaining the detection error rate of the preset monitoring depth based on the validity result of the real-time detection value of the plurality of detection parameters includes:
and S305-1, counting the invalid quantity based on the validity result of the real-time detection value of the plurality of detection parameters.
It is understood that the number of judged invalidity in the real-time detection value is counted. For example, continuing the above example, including tetrachloroethylene in the various detection parameters, there are 3 items of invalidity of the real-time detection values, i.e., the number of invalidity =3.
And S305-2, obtaining the detection error rate of the preset monitoring depth based on the invalid number and the number of the various detection parameters.
For example, continuing the above example, the invalid number is 3, and if the number of the plurality of detection parameters is 48, the detection error rate =3/48=6.25% of the preset monitor depth.
Step S306, when the detection error rate is less than or equal to a preset error rate threshold value, determining that the real-time detection values of the multiple detection parameters of the preset monitoring depth are all accurate.
For example, continuing with the above example, if the preset error rate threshold is 10%, the detection error rate of the preset monitoring depth is 6.25%, and is less than the preset error rate threshold by 10%, it is determined that the real-time detection values of the plurality of detection parameters of the preset monitoring depth are all accurate.
Further, step S306 further includes the steps of: when the detection error rate is less than or equal to a preset error rate threshold value, controlling the sample monitoring device 4 to bottle the environmental sample for detection again. After bottling, the bottles are sent to a laboratory for detection.
In some embodiments, the method further comprises the steps of:
step S307, when the detection error rate is greater than a preset error rate threshold, controlling the sample monitoring device 4 to discharge the environmental sample to the sample recoverer 41, and triggering the operation of controlling the real-time monitoring device 2 to detect the real-time detection values of the multiple detection parameters again.
It can be understood that the real-time detection values of the plurality of detection parameters determining the preset monitoring depth are all inaccurate, and the environmental sample is discarded. And returning to the step S301, re-obtaining the real-time detection values of the plurality of detection parameters at the first position, controlling the target sampling device 3 to extract the environmental sample at the second position based on the real-time detection values of the plurality of detection parameters, and determining the accuracy of the real-time detection values of the plurality of detection parameters at the preset monitoring depth again, and repeating the steps until the real-time detection values of the plurality of detection parameters at the preset monitoring depth are finally determined to be accurate.
Once the real-time detection values of the multiple detection parameters of the preset monitoring depth are determined to be accurate, the polluted condition of the non-aqueous phase liquid in the water body environment of the preset monitoring depth can be monitored through the real-time detection values of the preset monitoring depth.
In some embodiments, the method further comprises the steps of:
step S311, after determining that the real-time detection values of the multiple detection parameters at the preset monitoring depth are all accurate, when the real-time detection value of any one detection parameter exceeds the detection parameter early warning threshold value of the corresponding detection parameter, prompting the early warning information of the corresponding detection parameter.
The present embodiment provides for two-level security monitoring of early warning and alarming. When the real-time detection values of the multiple detection parameters of the preset monitoring depth of the detection parameters are accurate, if the real-time detection values are slightly over-normal, the early warning information corresponding to the detection parameters is prompted to the monitoring personnel so as to bring the attention of the monitoring personnel.
The detection parameter early warning threshold value can be a preset fixed value, and can also be a value determined by a real-time detection value of a historical time period. In some embodiments, the method further comprises the steps of:
step 311-1, obtaining an average real-time detection value of the corresponding detection parameter based on a plurality of real-time detection values obtained by any detection parameter within a preset time period.
For example, the preset time period is 1 month, and 4 real-time detections are performed within 1 month before the current time point, wherein the content of the halogenated olefin in each real-time detection is 10%, 15%, 12% and 9%, respectively; the average real-time measurement of haloolefin = (10% +15% +12% + 9%)/4 =11.5%.
And S311-2, acquiring a detection parameter early warning threshold value of the corresponding detection parameter based on the average real-time detection value of the detection parameter and a preset early warning multiple value.
For example, continuing with the above example, the pre-set pre-alarm time value is 5 times, and if the average real-time detection value of the halogenated olefin is 11.5%, the pre-alarm threshold value of the detection parameter of the halogenated olefin =5X11.5% =57.5%.
When the non-aqueous phase liquid with the preset monitoring depth in the water body environment is prompted to exceed the standard for early warning, the operation condition of equipment facilities needs to be immediately checked, and corresponding investigation and maintenance are carried out. If the equipment and facilities have no problem, whether a pollution source and a leakage source exist in the monitoring area needs to be checked, and index anomaly analysis and pollution troubleshooting are carried out.
In some embodiments, the method further comprises the steps of:
and prompting the alarm information of the corresponding detection parameter when the real-time detection value of any detection parameter exceeds the preset detection parameter alarm threshold value of the corresponding detection parameter after the real-time detection values of the multiple detection parameters of the preset monitoring depth are determined to be accurate, wherein the preset detection parameter alarm threshold value is larger than the detection parameter early warning threshold value.
And the preset detection parameter alarm threshold is greater than the detection parameter early warning threshold.
In the embodiment, 2/3 of the limit values of various detection parameters specified in the underground water quality standard GB/T14848 are preset as the preset detection parameter alarm threshold according to the conditions of the non-aqueous phase liquid and various detection parameters. When the real-time detection value of any detection parameter exceeds a preset detection parameter alarm threshold value, automatic alarm can be given, and monitoring personnel immediately take measures to investigate pollution sources and leakage sources after receiving alarm information to control pollution tendency.
If the real-time detection values of various detection parameters acquired by each monitoring well are uploaded to a database, simulation software such as GIS or Sufer is adopted to simulate the condition of non-aqueous phase liquid in a water body environment, a pollutant distribution map of a single well and a pollution distribution map of underground water in the whole field are preliminarily formed, the pollution condition and the flow field of the underground water in an area are simulated, the characteristics of underground water pollution sources and convergence and the migration and transformation rules of pollutants can be accurately reflected, and the prevention and treatment work of underground water pollution in the later period is further guided.
The present disclosure provides a method of monitoring a non-aqueous liquid. According to the method, an environmental sample near a preset monitoring depth is extracted through a targeted sampling device 3, the environmental sample is detected through a sample monitoring device 4, and sample detection values of various detection parameters are obtained. And the accuracy of the real-time detection values of the various detection parameters detected by the real-time monitoring device 2 near the preset monitoring depth is verified by using the sample detection values of the various detection parameters. The method realizes dynamic online monitoring and target depth-setting undisturbed automatic sampling of underground water NAPLs pollutants, ensures the accuracy of detection, ensures higher precision of real-time detection results, has wider application range, and can be widely popularized and applied to underground water monitoring and early warning and pollution prevention and control work in key areas and industrial parks.
The method can dynamically and continuously monitor NAPLs substances at different depths in the water body environment of high-risk areas such as industrial parks and the like in real time, and complete the monitoring work of the whole water body environment in the monitoring well, so that data analysis and water body environment pollution condition simulation can be carried out at the later stage. The monitoring data (such as pollution data and pollution depth) of the monitoring depth are combined, the target sampling device 3 is controlled to be accurately adjusted to the monitoring depth of the real-time monitoring device 2, the depth-setting disturbance-free automatic sampling work is carried out, and the accuracy and the effectiveness of the environmental sample are guaranteed.
On the basis that the real-time detection values of the multiple detection parameters of the preset monitoring depth are accurate, the detection parameter early warning threshold value and the preset detection parameter alarm threshold value of each detection parameter are combined, secondary safety monitoring is conducted on the real-time detection values of the detection parameters, monitoring data can be uploaded to a cloud database and a computer smart phone terminal, a user can master real-time pollution information of a water body environment at any time through a computer and a smart terminal and conduct remote control, emergency treatment can be conducted on a pollution source in the first time of pollution occurrence, and the pollution prevention range is further enlarged.
Finally, it should be noted that: in the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The system or the device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The above examples are only intended to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present disclosure.
Claims (10)
1. A method of monitoring a non-aqueous liquid, comprising:
controlling a real-time monitoring device to detect real-time detection values of multiple detection parameters at a first position near any preset monitoring depth in the water body environment of the monitoring well, wherein the multiple detection parameters are related to pollution of non-aqueous phase liquid;
when the real-time detection value of any detection parameter exceeds the detection parameter early warning threshold value of the corresponding detection parameter, controlling a targeted sampling device to extract an environmental sample at a second position near the preset monitoring depth in the water body environment of the monitoring well based on the real-time detection values of various detection parameters, and storing the environmental sample in a sample monitoring device;
detecting the environmental sample through the sample monitoring device to obtain sample detection values of various detection parameters;
respectively verifying the effectiveness of the real-time detection values of the corresponding detection parameters based on the sample detection values of the various detection parameters to obtain effectiveness results of the real-time detection values of the corresponding detection parameters;
obtaining a detection error rate of the preset monitoring depth based on an effectiveness result of real-time detection values of the plurality of detection parameters;
and when the detection error rate is smaller than or equal to a preset error rate threshold value, determining that the real-time detection values of the multiple detection parameters of the preset monitoring depth are all accurate.
2. The method according to claim 1, wherein the verifying the validity of the real-time detection value of the corresponding detection parameter based on the sample detection values of the detection parameters respectively, and obtaining the validity result of the real-time detection value of the corresponding detection parameter comprises:
respectively obtaining error values of corresponding detection parameters based on sample detection values of various detection parameters and real-time detection values of the corresponding detection parameters;
when the absolute value of the error value of any detection parameter is larger than the preset error threshold value of the corresponding detection parameter, determining that the real-time detection value of the corresponding detection parameter is invalid;
and when the absolute value of the error value of any detection parameter is less than or equal to the preset error threshold value of the corresponding detection parameter, determining that the real-time detection value of the corresponding detection parameter is effective.
3. The method of claim 2, wherein obtaining the detection error rate at the preset monitoring depth based on the validity result of the real-time detection values of the plurality of detection parameters comprises:
counting the invalid number based on the validity result of the real-time detection value of the plurality of detection parameters;
and obtaining the detection error rate of the preset monitoring depth based on the invalid number and the number of the various detection parameters.
4. The method of claim 1, further comprising:
when the detection error rate is less than or equal to a preset error rate threshold value, controlling the sample monitoring device to bottle the environmental sample for detection again.
5. The method of claim 1, further comprising:
and when the detection error rate is greater than a preset error rate threshold value, controlling the sample monitoring device to discharge the environmental sample to a sample recoverer, and triggering the operation of controlling the real-time monitoring device to detect the real-time detection values of various detection parameters again.
6. The method of claim 1,
when the real-time monitoring device is controlled to detect the real-time detection values of various detection parameters at a first position near any preset monitoring depth, the method further comprises the following steps:
controlling a real-time monitoring device to acquire a first liquid level value at the first position;
further, the step of controlling the target sampling device to extract the environmental sample based on the real-time detection values of the plurality of detection parameters at a second position near the preset monitoring depth in the water environment of the monitoring well comprises:
in the process of adjusting the targeted sampling device to move to a position near the preset monitoring depth in the water body environment of the monitoring well, controlling the targeted sampling device to acquire the current liquid level value;
obtaining a liquid level difference value based on the first level value and the current level value;
and when the absolute value of the liquid level difference value is smaller than or equal to a preset liquid level difference threshold value, determining that the position of the current liquid level value is a second position, and controlling the targeted sampling device to extract the environmental sample at the second position based on real-time detection values of various detection parameters.
7. The method of claim 1, wherein controlling the targeted sampling device to extract the environmental sample based on the real-time detection values of the plurality of detection parameters comprises:
determining a sampling rate value of the targeted sampling device based on real-time detection values of the plurality of detection parameters;
controlling the targeted sampling device to extract the environmental sample based on the sampling rate value.
8. The method of claim 1, further comprising:
and after the real-time detection values of the multiple detection parameters of the preset monitoring depth are determined to be accurate, when the real-time detection value of any detection parameter exceeds the detection parameter early warning threshold value of the corresponding detection parameter, prompting the early warning information of the corresponding detection parameter.
9. The method of claim 1, further comprising:
obtaining an average real-time detection value of a corresponding detection parameter based on a plurality of real-time detection values obtained by any detection parameter within a preset time period;
and obtaining a detection parameter early warning threshold value of the corresponding detection parameter based on the average real-time detection value of the detection parameter and a preset early warning multiple value.
10. The method of claim 1, further comprising:
and prompting the alarm information of the corresponding detection parameter when the real-time detection value of any detection parameter exceeds the preset detection parameter alarm threshold value of the corresponding detection parameter after the real-time detection values of the multiple detection parameters of the preset monitoring depth are determined to be accurate, wherein the preset detection parameter alarm threshold value is larger than the detection parameter early warning threshold value.
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