CN115684527B - Monitoring method of non-aqueous phase liquid - Google Patents
Monitoring method of non-aqueous phase liquid Download PDFInfo
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- 238000001514 detection method Methods 0.000 claims abstract description 251
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- KFUSEUYYWQURPO-UPHRSURJSA-N cis-1,2-dichloroethene Chemical group Cl\C=C/Cl KFUSEUYYWQURPO-UPHRSURJSA-N 0.000 description 1
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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
- Y02A20/20—Controlling water pollution; Waste water treatment
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- Measurement Of Levels Of Liquids Or Fluent Solid Materials (AREA)
Abstract
The present disclosure provides a method of monitoring a non-aqueous liquid. According to the method, the target sampling device is used for extracting the environmental sample near the preset monitoring depth, and the sample monitoring device is used for detecting the environmental sample to obtain sample detection values of various detection parameters. And verifying the accuracy of the real-time detection values of the plurality of detection parameters detected by the real-time monitoring device near the preset monitoring depth by using the sample detection values of the plurality of detection parameters. The method realizes dynamic on-line monitoring and targeted depth-targeting undisturbed automatic sampling of the underground water NAPLs pollutants, ensures the detection accuracy, ensures higher real-time detection result accuracy and wider application range, and can be widely popularized and applied in underground water monitoring and early warning and pollution control works in key areas and industrial parks.
Description
Technical Field
The disclosure relates to the technical field of environmental monitoring, in particular to a monitoring method of non-aqueous phase liquid.
Background
Along with the rapid development of the industry in China, the quality condition of the groundwater environment in China is seriously threatened by the large-scale discharge of industrial three wastes and the large-scale use and production of petroleum and chemical products in China.
Among the many groundwater pollutants, organic pollutants are a difficulty and focus of remediation. After entering groundwater, organic pollutants usually pollute the groundwater in a form of Non-aqueous phase liquid (called Non-aqueous Phase Liquids, NAPLs for short), wherein the density is less than that of water and floating on the surface, called Light Non-aqueous phase liquid (called LNAPLs for short) for short, the density is more than that of water and sinking on the bottom, called heavy Non-aqueous phase liquid (called Dense Non-Aqueous Phase Liquid, DNAPLs for short), and the migration motion rule and pollution diffusion path of NAPLs pollutants in the groundwater are very complex because the specific gravity of NAPLs pollutants are greater than that of water or less than that of water. NAPLs real-time sampling and online monitoring are carried out on the groundwater in the high risk area, and the method has important significance for effectively preventing groundwater pollution and guaranteeing groundwater environment quality safety.
At present, sampling personnel can only carry out conventional water quality monitoring on a water body environment, and on-site sampling is adopted, so that time and labor are consumed, and the monitoring precision is low. The environmental protection department cannot know the condition of the underground water in time, and cannot track 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-mentioned problems.
Disclosure of Invention
The present disclosure is directed to a method for monitoring a non-aqueous liquid, which can solve at least one of the above-mentioned technical problems. The specific scheme is as follows:
according to a first aspect of the present disclosure, there is provided a method of monitoring a non-aqueous liquid comprising:
controlling a real-time monitoring device 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 a monitoring well, wherein the various detection parameters are related to pollution of non-aqueous 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 target sampling device to extract an environmental sample based on the real-time detection values of various detection parameters at a second position near the preset monitoring depth in the water body environment of the monitoring well, and storing the environmental sample into 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 validity of the real-time detection values of the corresponding detection parameters based on the sample detection values of the various detection parameters to obtain the validity result of the real-time detection values of the corresponding detection parameters;
obtaining the 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;
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 plurality of detection parameters of the preset monitoring depth are accurate.
Optionally, 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 result 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 smaller 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 the detection error rate of the preset monitoring depth based on the validity result of the real-time detection values of the multiple detection parameters includes:
counting the invalid quantity based on the validity result of the real-time detection values of the plurality of detection parameters;
and obtaining the detection error rate of the preset monitoring depth based on the invalid quantity and the quantity of the plurality of detection parameters.
Optionally, the method further comprises:
and when the detection error rate is smaller than or equal to a preset error rate threshold value, controlling the sample monitoring device to bottle the environmental sample so as to detect again.
Optionally, the method further comprises:
and when the detection error rate is larger than a preset error rate threshold, 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 controlling the real-time monitoring device detects the real-time detection values of the plurality of detection parameters at the first position near any preset monitoring depth, the controlling device further includes:
controlling a real-time monitoring device to acquire a first liquid level value at the first position;
further, the controlling the target sampling device to extract the environmental sample based on the real-time detection values of the plurality of detection parameters at the second position near the preset monitoring depth in the water body environment of the monitoring well comprises the following steps:
in the process of adjusting the target sampling device to move to a position near the preset monitoring depth in the water body environment of the monitoring well, controlling the target sampling device to acquire a current liquid level value;
obtaining a liquid level difference value based on the first liquid level value and the current liquid level value;
when the absolute value of the liquid level difference value is smaller than or equal to a preset liquid level difference threshold value, determining the position of the current liquid level value as a second position, and controlling the target 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 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.
Optionally, the method further comprises:
and after determining that the real-time detection values of the plurality of detection parameters of the preset monitoring depth are accurate, prompting the early warning information of the corresponding detection parameters when the real-time detection value of any one detection parameter exceeds the detection parameter early warning threshold value of the corresponding detection parameter.
Optionally, the method further comprises:
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 in a preset time period;
and obtaining a detection parameter early warning threshold corresponding to the 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 comprises:
when the real-time detection values of the plurality of detection parameters of the preset monitoring depth are accurate, and when the real-time detection value of any one detection parameter exceeds a preset detection parameter alarm threshold value of the corresponding detection parameter, alarm information of the corresponding detection parameter is prompted, wherein the preset detection parameter alarm threshold value is larger than a detection parameter early warning threshold value.
Compared with the prior art, the scheme of the embodiment of the disclosure has at least the following beneficial effects:
the present disclosure provides a method of monitoring a non-aqueous liquid. According to the method, the target sampling device is used for extracting the environmental sample near the preset monitoring depth, and the sample monitoring device is used for detecting the environmental sample to obtain sample detection values of various detection parameters. And verifying the accuracy of the real-time detection values of the plurality of detection parameters detected by the real-time monitoring device near the preset monitoring depth by using the sample detection values of the plurality of detection parameters. The method realizes dynamic on-line monitoring and targeted depth-targeting undisturbed automatic sampling of the underground water NAPLs pollutants, ensures the detection accuracy, ensures higher real-time detection result accuracy and wider application range, and can be widely popularized and applied in underground water monitoring and early warning and pollution control works in key areas and industrial parks.
The method can dynamically and continuously monitor NAPLs substances with different depths in the water environment of high-risk areas such as an industrial park in real time, and complete the monitoring work of the whole water environment in the monitoring well so as to carry out data analysis and water environment pollution condition simulation in the later period. And the target sampling device is controlled to be accurately adjusted to the monitoring depth of the real-time monitoring device by combining the monitoring data (such as pollution data and pollution depth) of the monitoring depth, so that the depth-fixing undisturbed automatic sampling work is performed, and the accuracy and the effectiveness of the environmental sample are ensured.
On the basis that the real-time detection values of the various detection parameters of the preset monitoring depth are accurate, the detection parameter early warning threshold value and the preset detection parameter alarming threshold value of each detection parameter are combined, the real-time detection values of each detection parameter are subjected to secondary safety monitoring, monitoring data can be uploaded to a cloud database and a computer intelligent mobile phone terminal, a user can master real-time pollution information of the ground water environment at any time through a computer and the intelligent terminal and remotely regulate and control the pollution source, emergency treatment can be carried out on the pollution source at the first time of pollution occurrence, and the pollution prevention range is further widened.
Drawings
FIG. 1 illustrates a schematic diagram of a relationship of a monitoring system for a non-aqueous liquid according to an embodiment of the present disclosure;
FIG. 2 illustrates a schematic diagram of a non-aqueous liquid monitoring system according to an embodiment of the present disclosure;
FIG. 3 illustrates a flow chart of a method of monitoring a non-aqueous liquid according to an embodiment of the present disclosure;
description of the reference numerals
1-central control device, 2-real-time monitoring device, 3-target sampling device, 4-sample monitoring device, 41-sample recoverer.
Detailed Description
For the purpose of promoting an understanding of the principles and advantages of the disclosure, reference will now be made in detail to the drawings, in which it is apparent that the embodiments described are only some, but not all embodiments of the disclosure. Based on the embodiments in this disclosure, all other embodiments that a person of ordinary skill in the art would obtain without making any inventive effort are within the scope of protection of this disclosure.
The terminology used in the embodiments of the disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure of 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, the "plurality" generally includes at least two.
It should be understood that the term "and/or" as used herein is merely one relationship describing the association of the associated objects, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used in embodiments of the present disclosure, these descriptions should not be limited to these terms. These terms are only used to distinguish one from another. For example, a first may also be referred to as a second, and similarly, a second may also be referred to as 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 (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (stated condition or event), depending on the context.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a product 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 product or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a commodity or device comprising such element.
In particular, the symbols and/or numerals present in the description, if not marked in the description of the figures, are not numbered.
Alternative embodiments of the present disclosure are described in detail below with reference to the drawings.
Embodiments provided for by the present disclosure, namely embodiments of a method of monitoring a non-aqueous liquid.
As shown in fig. 1 and 2, embodiments of the present disclosure relate to monitoring systems for non-aqueous liquids. The monitoring system for the non-aqueous phase liquid comprises: a central control device 1, a real-time monitoring device 2, a target 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 a water body environment of a monitoring well.
The monitoring system periodically utilizes the real-time monitoring device 2 to detect the water body environment of the monitoring well in real time, and detects the water body environment with a plurality of preset monitoring depths each time. Starting from the water body environment which is 0.5m below the water surface of the monitoring well, sequentially detecting by using gradients with the height difference value of 2-10 m between two adjacent preset monitoring depths until the bottom of the monitoring well is detected.
The target sampling device 3 is configured to extract environmental samples corresponding to preset monitoring depths respectively based on sampling instructions sent by the central control device 1 for each preset monitoring depth in the water body environment, and obtain liquid level values corresponding to the preset monitoring depths.
The sample monitoring device 4 is communicated with the target sampling device 3 through a pipeline, and is configured to collect environmental samples with each preset monitoring depth through the target sampling device 3, and acquire sample detection values of the plurality of detection parameters based on each environmental sample.
The central control device 1 is respectively in communication connection with the real-time monitoring device 2, the target sampling device 3 and the sample monitoring device 4, and is used for controlling functions of each device, data analysis, monitoring and early warning and the like in a system.
The monitoring instructions can control the real-time monitoring device 2 to reach each preset monitoring depth and monitor the water quality of each preset monitoring depth, and various real-time monitoring data are obtained at one time.
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 according to the embodiments of the present disclosure is applied to the central control apparatus 1.
Embodiments of the present disclosure are described in detail below in conjunction with fig. 3.
In step S301, the real-time monitoring device 2 is controlled to detect real-time detection values of various detection parameters at a first position near any preset monitoring depth in the water environment of the monitoring well.
Wherein the plurality of detection parameters are related to contamination of the non-aqueous liquid.
The water environment of the monitoring well often contains unusual NAPLs, and the NAPLs pollutants have large specific gravity or small specific gravity compared with water, so that the migration motion rule and pollution diffusion path in the underground water are very complex. NAPLs real-time sampling and online monitoring are carried out on the groundwater in the high risk area, and the method has important significance for effectively preventing groundwater pollution and guaranteeing groundwater environment quality safety.
NAPLs include: LNAPLs and DNAPLs. In the water environment of a monitoring well, LNAPLs include benzene series and petroleum hydrocarbons; DNAPLs include: halogenated alkanes, halogenated olefins, 1-dichloroethylene, cis-1, 2-dichloroethylene, trans-1, 2-dichloroethylene, cis-1, 3-dichloropropene, trans-1, 3-dichloropropene, tetrachloroethylene, trichloroethylene and halogenated aromatic hydrocarbons.
The detection parameters include parameters that detect LNAPLs and/or DNAPLs.
Because the real-time monitoring device 2 can not be controlled to accurately reach the preset monitoring depth due to the influence of factors such as water disturbance, the real-time monitoring device 2 can only be controlled to reach the first position near the preset monitoring depth during real-time detection.
Step S302, when the real-time detection value of any one detection parameter exceeds the detection parameter early warning threshold corresponding to the detection parameter, controlling the target sampling device 3 to extract an environmental sample based on the real-time detection values of various detection parameters at the second position near the preset monitoring depth in the water body environment of the monitoring well, and storing the environmental sample in the sample monitoring device 4.
Also, due to the influence of factors such as disturbance of the water body, it cannot be guaranteed that the target sampling device 3 can accurately reach the preset monitoring depth, and therefore, when sampling, only the target sampling device 3 can be controlled to reach the second position near the preset monitoring depth.
In the embodiment of the disclosure, as long as an abnormality occurs in the real-time detection value of any detection parameter near the preset monitoring position, that is, the detection parameter early warning threshold value of the corresponding detection parameter is exceeded, the target sampling device 3 is controlled to sample near the corresponding preset monitoring position, so as to further verify the accuracy of the real-time detection value.
In order to ensure accuracy of sampling, in some embodiments, when the control real-time monitoring device 2 detects real-time detection values of a plurality of detection parameters at a first position near any preset monitoring depth, the method further includes the following steps: the real-time monitoring device 2 is controlled to acquire a first liquid level value at the first position.
Further, the controlling the target sampling device 3 to extract an environmental sample based on the real-time detection values of various detection parameters at the second position near the preset monitoring depth in the water environment of the monitoring well comprises the following steps:
step S302-11, in the process of adjusting the target sampling device 3 to move to the position near the preset monitoring depth in the water body environment of the monitoring well, controlling the target sampling device 3 to collect the current liquid level value.
The current liquid level value is a liquid level value acquired in real time by the target sampling device 3 in the process of moving to a position near the preset monitoring depth.
And step S302-12, obtaining a liquid level difference value based on the first liquid level value and the current liquid level value.
The target sampling device 3 calculates the liquid level difference 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 value is smaller than or equal to a preset liquid level difference threshold value, determining the position of the current liquid level value as a second position, and controlling the target 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 is 5cm. For example, when the current liquid level value of the target sampling device 3 is 10m at the first position of 21m, the liquid level difference value=21m-10m=11m, and is larger than 5cm, the target sampling device 3 is controlled to move downwards; when the current liquid level value of the target sampling device 3 is 25m, the liquid level difference value=21m-25m= -4m, and the absolute value of the liquid level difference value 4m is larger than 5cm, the target sampling device 3 is controlled to move upwards; when the current liquid level value of the target sampling device 3 is 21.03m, the liquid level difference value=21m-21.03 m= -3cm, and the absolute value of the liquid level difference value is smaller than 5cm, the position 21.03m where the current liquid level value is located is a second position, and the target sampling device 3 extracts an environmental sample at the second position.
According to the specific embodiment, the target sampling device 3 and the real-time monitoring device 2 can sample near the same preset monitoring depth through a relatively close method, so that the extracted environment sample is closer to the water environment detected by the real-time monitoring device 2, and the verification accuracy is guaranteed.
In other embodiments, the method for controlling the target sampling device 3 to extract the environmental sample based on the real-time detection values of the multiple 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 plurality of detection parameters comprise main component information of non-aqueous phase liquid in the aqueous environment, and the corresponding sampling rate values can be obtained by analyzing the real-time detection values of the plurality of detection parameters by using a parameter analysis model.
Step S302-22, controlling the target sampling device 3 to extract the environmental sample based on the sampling rate value.
The embodiment adopts corresponding sampling rate aiming at real-time detection values of samples in different environments, thereby ensuring smooth sampling. Optionally, the sampling rate value is set in the range of 0.2-0.5L/min, so that undisturbed sampling of groundwater is realized, and damage to VOCs samples is reduced.
In step S303, the sample monitoring device 4 detects the environmental sample, and obtains sample detection values of various detection parameters.
Step S304, respectively 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, and obtaining the validity result 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 real-time detection near the preset monitoring depth is further ensured.
In some embodiments, the validity verification is performed on the real-time detection values of the corresponding detection parameters according to the sample detection values of the various detection parameters, and the validity result of the real-time detection values of the corresponding detection parameters is obtained, which includes the following steps:
step S304-1, obtaining error values of corresponding detection parameters based on the sample detection values of 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 between the sample detection value of the detection parameter and the real-time detection value of the corresponding detection parameter.
For example, if the content of the halogenated olefin in the environmental sample is 10% and the real-time detection content of the halogenated olefin is 12%, the error value of the halogenated olefin is=10% -12% = -2%; the tetrachloroethylene content in the environmental sample was 56% and the real-time detection content of tetrachloroethylene was 20%, the error value of tetrachloroethylene=56% -20% =36%.
In step S304-2, when the absolute value of the error value of any one of the detection parameters is greater than the preset error threshold value of the corresponding detection parameter, the invalidation of the real-time detection value of the corresponding detection parameter is determined.
For example, continuing the above example, the predetermined error threshold value for tetrachloroethylene is 10% and the absolute value of the error value for tetrachloroethylene is 36%, greater than the predetermined error threshold value for tetrachloroethylene by 10%, the real-time detection value for tetrachloroethylene is not valid.
Step S304-3, when the absolute value of the error value of any detection parameter is smaller 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 valid.
For example, continuing the above example, if the preset error threshold for the halogenated olefin is 5% and the absolute value of the error value for the halogenated olefin is 2% and less than 5% of the preset error threshold for the halogenated olefin, then the real-time detection of the halogenated olefin is valid.
Step S305, obtaining the detection error rate of the preset monitoring depth based on the validity result of the real-time detection values of the multiple detection parameters.
Because the water body environment of the monitoring well has certain fluidity. Thus, embodiments of the present disclosure utilize sample detection values of environmental samples near a preset monitoring depth to overall evaluate real-time detection values near the preset monitoring depth. To determine the overall accuracy of the real-time detection values.
In some specific embodiments, the obtaining the detection error rate of the preset monitoring depth based on the validity result of the real-time detection values of the multiple detection parameters includes the following steps:
step S305-1, counting the ineffective quantity based on the effective result of the real-time detection values of the plurality of detection parameters.
It is understood that the number of determined invalidities in the real-time detection value is counted. For example, continuing the above example, tetrachloroethylene is included in the plurality of detection parameters, and the real-time detection values of a total of 3 items are invalidated, that is, the invalidated number=3.
Step S305-2, obtaining the detection error rate of the preset monitoring depth based on the invalid number and the number of the plurality of 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 of the preset monitoring depth=3/48=6.25%.
Step S306, when the detection error rate is less than or equal to a preset error rate threshold, determining that the real-time detection values of the plurality of detection parameters of the preset monitoring depth are accurate.
For example, continuing 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%, the real-time detection values of the plurality of detection parameters of the preset monitoring depth are determined to be accurate.
Further, step S306 further includes the steps of: and when the detection error rate is smaller than or equal to a preset error rate threshold value, controlling the sample monitoring device 4 to bottle the environmental sample so as to detect again. Bottling, and sending to laboratory for detection.
In some embodiments, the method further comprises the steps of:
in step S307, when the detection error rate is greater than the preset error rate threshold, the sample monitoring device 4 is controlled to discharge the environmental sample to the sample recoverer 41, and the operation of controlling the real-time monitoring device 2 to detect the real-time detection values of the multiple detection parameters is triggered again.
It is understood that the real-time detection values of the plurality of detection parameters for determining the preset monitoring depth are inaccurate, and the environmental sample is discarded. And returning to step S301, re-obtaining real-time detection values of the multiple detection parameters at the first position, controlling the targeting sampling device 3 to extract the environmental sample at the second position based on the real-time detection values of the multiple detection parameters, and determining the accuracy of the real-time detection values of the multiple detection parameters of the preset monitoring depth again, so that the steps are repeated in a circulating manner until the real-time detection values of the multiple detection parameters of the preset monitoring depth are finally determined to be accurate.
Once the real-time detection values of the plurality of detection parameters of the preset monitoring depth are accurate, the polluted condition of the non-aqueous 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, when the real-time detection values of the plurality of detection parameters of the preset monitoring depth are determined to be accurate, and 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 embodiment provides secondary safety monitoring of early warning and alarming. When the real-time detection values of the detection parameters of the plurality of detection parameters of the preset detection depth are accurate, if the real-time detection values are slightly abnormal, warning information of the corresponding detection parameters is prompted to the monitoring personnel so as to draw attention of the monitoring personnel.
The detection parameter early warning threshold value can be a preset fixed value or a value which can be determined by a real-time detection value of a historical time period. In some embodiments, the method further comprises the steps of:
step S311-1, obtaining an average real-time detection value of the corresponding detection parameter based on the plurality of real-time detection values obtained by any one detection parameter in the 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 respectively 10%, 15%, 12% and 9%; the average real-time detection of halogenated olefins = (10% +15% +12% + 9%)/4=11.5%.
And step S311-2, obtaining a detection parameter early warning threshold corresponding to the detection parameter based on the average real-time detection value of the detection parameter and a preset early warning multiple value.
For example, continuing the above example, the preset early warning multiple value is 5 times, if the average real-time detection value of the halogenated olefin is 11.5%, the detection parameter early warning threshold value of the halogenated olefin= 5X11.5% =57.5%.
When the non-aqueous phase liquid exceeding early warning of the preset monitoring depth in the water body environment is prompted, the running condition of equipment and facilities needs to be immediately checked, and corresponding investigation and maintenance are carried out. If the equipment and the facilities have no problems, whether a pollution source and a leakage source exist in the monitoring area or not needs to be checked, and index anomaly analysis and pollution investigation are carried out.
In some embodiments, the method further comprises the steps of:
when the real-time detection values of the plurality of detection parameters of the preset monitoring depth are accurate, and when the real-time detection value of any one detection parameter exceeds a preset detection parameter alarm threshold value of the corresponding detection parameter, alarm information of the corresponding detection parameter is prompted, wherein the preset detection parameter alarm threshold value is larger than a detection parameter early warning threshold value.
The preset detection parameter alarm threshold is larger than the detection parameter early warning threshold.
According to the specific embodiment, 2/3 of the limit values of various detection parameters specified in the underground water quality standard GB/T14848 are preset as preset detection parameter alarm thresholds according to the conditions of non-aqueous phase liquid and various detection parameters. When the real-time detection value of any detection parameter exceeds the preset detection parameter alarm threshold, the alarm is automatically given, and monitoring personnel immediately take measures to check a pollution source and a leakage source after receiving alarm information to control the pollution trend.
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 liquid in the water body environment, a single well pollutant distribution diagram and a whole field ground water pollution distribution diagram are formed preliminarily, the ground water pollution condition and the ground water flow field of the area are simulated, the ground water pollution source and sink characteristics and the pollutant migration and transformation rules can be reflected accurately, and the control and treatment work of the ground water pollution in the later stage is further guided.
The present disclosure provides a method of monitoring a non-aqueous liquid. According to the method, the target sampling device 3 is used for extracting an environmental sample near the preset monitoring depth, and the sample monitoring device 4 is used for detecting the environmental sample to obtain sample detection values of various detection parameters. And the accuracy of the real-time detection values of the plurality of 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 plurality of detection parameters. The method realizes dynamic on-line monitoring and targeted depth-targeting undisturbed automatic sampling of the underground water NAPLs pollutants, ensures the detection accuracy, ensures higher real-time detection result accuracy and wider application range, and can be widely popularized and applied in underground water monitoring and early warning and pollution control works in key areas and industrial parks.
The method can dynamically and continuously monitor NAPLs substances with different depths in the water environment of high-risk areas such as an industrial park in real time, and complete the monitoring work of the whole water environment in the monitoring well so as to carry out data analysis and water environment pollution condition simulation in the later period. And the target sampling device 3 is controlled to be accurately adjusted to the monitoring depth of the real-time monitoring device 2 by combining the monitoring data (such as pollution data and pollution depth) of the monitoring depth, so that the depth-fixing undisturbed automatic sampling work is performed, and the accuracy and the effectiveness of the environmental sample are ensured.
On the basis that the real-time detection values of the various detection parameters of the preset monitoring depth are accurate, the detection parameter early warning threshold value and the preset detection parameter alarming threshold value of each detection parameter are combined, the real-time detection values of each detection parameter are subjected to secondary safety monitoring, monitoring data can be uploaded to a cloud database and a computer intelligent mobile phone terminal, a user can master real-time pollution information of the ground water environment at any time through a computer and the intelligent terminal and remotely regulate and control the pollution source, emergency treatment can be carried out on the pollution source at the first time of pollution occurrence, and the pollution prevention range is further widened.
Finally, it should be noted that: in the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. The system or the device disclosed in the embodiments are relatively simple in description, and the relevant points refer to the description of the method section because the system or the device corresponds to the method disclosed in the embodiments.
The above embodiments are merely for illustrating the technical solution of the present disclosure, and are not limiting thereof; 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present disclosure.
Claims (8)
1. A method of monitoring a non-aqueous liquid comprising:
controlling a real-time monitoring device 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 a monitoring well, wherein the various detection parameters are related to pollution of non-aqueous 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 target sampling device to extract an environmental sample based on the real-time detection values of various detection parameters at a second position near the preset monitoring depth in the water body environment of the monitoring well, and storing the environmental sample into 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 validity of the real-time detection values of the corresponding detection parameters based on the sample detection values of the various detection parameters to obtain the validity result of the real-time detection values of the corresponding detection parameters;
obtaining the 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;
when the detection error rate is smaller than or equal to a preset error rate threshold value, determining that real-time detection values of the plurality of detection parameters of the preset monitoring depth are accurate;
the method for verifying the validity of the real-time detection values of the corresponding detection parameters by the sample detection values based on the various detection parameters comprises the following steps of: 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; when the absolute value of the error value of any detection parameter is smaller than or equal to the preset error threshold value of the corresponding detection parameter, determining the validity of the real-time detection value of the corresponding detection parameter;
the obtaining the 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 comprises the following steps: counting the invalid quantity based on the validity result of the real-time detection values of the plurality of detection parameters; and obtaining the detection error rate of the preset monitoring depth based on the invalid quantity and the quantity of the plurality of detection parameters.
2. The method according to claim 1, wherein the method further comprises:
and when the detection error rate is smaller than or equal to a preset error rate threshold value, controlling the sample monitoring device to bottle the environmental sample so as to detect again.
3. The method according to claim 1, wherein the method further comprises:
and when the detection error rate is larger than a preset error rate threshold, 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.
4. The method of claim 1, wherein the step of determining the position of the substrate comprises,
when the control real-time monitoring device detects real-time detection values of a plurality of detection parameters at a first position near any preset monitoring depth, the control real-time monitoring device further comprises:
controlling a real-time monitoring device to acquire a first liquid level value at the first position;
further, the controlling the target sampling device to extract the environmental sample based on the real-time detection values of the plurality of detection parameters at the second position near the preset monitoring depth in the water body environment of the monitoring well comprises the following steps:
in the process of adjusting the target sampling device to move to a position near the preset monitoring depth in the water body environment of the monitoring well, controlling the target sampling device to acquire a current liquid level value;
obtaining a liquid level difference value based on the first liquid level value and the current liquid level value;
when the absolute value of the liquid level difference value is smaller than or equal to a preset liquid level difference threshold value, determining the position of the current liquid level value as a second position, and controlling the target sampling device to extract the environmental sample at the second position based on real-time detection values of various detection parameters.
5. 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.
6. The method according to claim 1, wherein the method further comprises:
and after determining that the real-time detection values of the plurality of detection parameters of the preset monitoring depth are accurate, prompting the early warning information of the corresponding detection parameters when the real-time detection value of any one detection parameter exceeds the detection parameter early warning threshold value of the corresponding detection parameter.
7. The method according to claim 1, wherein the method further comprises:
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 in a preset time period;
and obtaining a detection parameter early warning threshold corresponding to the detection parameter based on the average real-time detection value of the detection parameter and a preset early warning multiple value.
8. The method according to claim 1, wherein the method further comprises:
when the real-time detection values of the plurality of detection parameters of the preset monitoring depth are accurate, and when the real-time detection value of any one detection parameter exceeds a preset detection parameter alarm threshold value of the corresponding detection parameter, alarm information of the corresponding detection parameter is prompted, wherein the preset detection parameter alarm threshold value is larger than a detection parameter early warning threshold value.
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