A method and system for water quality collection and treatment for environmental monitoring

Abstract

This invention relates to the field of environmental monitoring technology, specifically to a method and system for water quality collection and treatment in environmental monitoring. The method includes: applying a micro-disturbance to a target sampling point, collecting first water body disturbance information after the micro-disturbance, and generating first transient response data; extracting response feature information from the first transient response data, and generating a sampling disturbance response fingerprint based on water quality parameter categories and disturbance performance categories; matching a sensitivity type template based on the sampling disturbance response fingerprint to obtain the sensitivity type corresponding to the target sampling point, determining initial sampling parameters based on the sensitivity type, and performing formal sampling according to the initial sampling parameters, collecting second water body disturbance information in the formal sampling, and generating second transient response data. This invention can reduce the impact of mismatch between fixed sampling and solidification treatment methods and actual water body conditions, and improve the representativeness of water samples and the accuracy of subsequent detection data.

Description

Technical Field

[0001] This invention relates to the field of environmental monitoring technology, and specifically to a method and system for water quality collection and treatment in environmental monitoring. Background Technology

[0002] Water quality monitoring is a crucial component of environmental monitoring, environmental protection, and water resource management. The accuracy of its test results highly depends on the standardization of on-site sampling, sample preservation, and subsequent analysis processes. Actual sampling environments are complex, with water bodies potentially exhibiting various states such as suspended particles, dissolved gases, temperature and salinity stratification, and changes in redox conditions. Furthermore, different sampling points show significant differences in their sensitivity to sampling procedures.

[0003] Current water quality sampling processes mostly follow pre-set, fixed procedures, with sampling parameters primarily determined by monitoring standards, human experience, or equipment configuration. For routine scenarios where water conditions are relatively stable or predictable, these methods can meet monitoring needs. However, in sensitive scenarios where particulate matter is easily resuspended, dissolved oxygen is easily disturbed, thermosalinity stratification is pronounced, or redox conditions are easily variable, the sampling process itself can easily cause unexpected changes in the original state of the water body, thus affecting the representativeness of the collected water samples. Furthermore, existing water sample processing methods often employ uniform preservation, fixed filtration and flask separation, or solidification schemes based on human judgment, making it difficult to identify and respond to differences in sample state caused by different sampling processes. When disturbances introduced by sampling are not effectively identified and recorded, subsequent solidification processing methods will be mismatched with the actual sample state, leading to analytical bias and affecting the accuracy and traceability of water quality monitoring data. Summary of the Invention

[0004] In view of the above-mentioned shortcomings of the existing technology, the present invention provides a water quality collection and treatment method and system for environmental monitoring, which can effectively solve the following problems: the sampling action itself is prone to causing changes in the state of the water body, affecting the representativeness of the collected water sample; and when the disturbance introduced by the sampling is not identified, the subsequent solidification treatment method is mismatched with the actual state of the sample, thereby affecting the accuracy and traceability of the water quality monitoring data.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] In a first aspect, the present invention provides a method for water quality collection and treatment for environmental monitoring, comprising the following steps:

[0007] A micro-perturbation is applied to the target sampling point, and the first water body disturbance information after the micro-perturbation is collected to generate the first transient response data;

[0008] Response feature information is extracted from the first transient response data, and a sampling disturbance response fingerprint is generated based on the water quality parameter category and disturbance performance category;

[0009] Based on the sampling disturbance response fingerprint matching sensitive type template, the sensitive type corresponding to the target sampling point is obtained. The initial sampling parameters are determined based on the sensitive type, and formal sampling is performed according to the initial sampling parameters. The second water body disturbance information in the formal sampling is collected, and the second transient response data is generated.

[0010] A baseline perturbation response state is formed from the sampled perturbation response fingerprint, and an actual perturbation response state is formed from the second transient response data. The baseline perturbation response state and the actual perturbation response state are compared to obtain the response deviation state.

[0011] Based on the response deviation state and the initial sampling parameters, the sampling action disturbance information is determined, and based on the sampling action disturbance information and the second transient response data, the water sample disturbance risk level and disturbance dominance type are determined;

[0012] The water sample treatment method is determined based on the water sample disturbance risk level and the dominant disturbance type, and the water sample obtained from formal sampling is treated according to the water sample treatment method.

[0013] Secondly, the present invention provides a water quality collection and treatment system for environmental monitoring, which implements a water quality collection and treatment method for environmental monitoring. The system includes:

[0014] The first transient response data generation module is used to apply micro-perturbation to the target sampling point, collect the first water body disturbance information after micro-perturbation, and generate the first transient response data.

[0015] The sampling disturbance response fingerprint generation module is used to extract response feature information from the first transient response data and generate a sampling disturbance response fingerprint based on the water quality parameter category and the disturbance performance category.

[0016] The second transient response data generation module is used to obtain the sensitive type corresponding to the target sampling point based on the sampling disturbance response fingerprint matching sensitive type template, determine the initial sampling parameters based on the sensitive type, and perform formal sampling according to the initial sampling parameters to collect the second water body disturbance information in the formal sampling and generate the second transient response data.

[0017] The response deviation state generation module is used to form a reference perturbation response state from the sampled perturbation response fingerprint, form an actual perturbation response state from the second transient response data, and compare the reference perturbation response state and the actual perturbation response state to obtain the response deviation state.

[0018] The risk and dominant type generation module is used to determine the sampling action disturbance information based on the response deviation state and the initial sampling parameters, and to determine the water sample disturbance risk level and disturbance dominant type based on the sampling action disturbance information and the second transient response data;

[0019] The water sample processing module is used to determine the water sample processing method based on the water sample disturbance risk level and the dominant disturbance type, and to process the water sample obtained from formal sampling according to the water sample processing method.

[0020] The technical solution provided by this invention has the following beneficial effects:

[0021] This invention obtains the transient response of the target sampling point through micro-perturbation before formal sampling, and forms a response fingerprint characterizing the perturbation sensitivity of the sampling point. This allows the determination of sampling parameters to be configured based on the actual response characteristics of the target sampling point, rather than relying solely on fixed procedures or manual experience. During formal sampling, a second transient response data is further collected, and the actual perturbation state under formal sampling is compared with the baseline perturbation state under micro-perturbation to identify deviations from the original sensitive state of the sampling point. Based on this, the water sample perturbation risk level and perturbation dominant type are determined, and corresponding water sample treatment methods are formulated to match the water sample treatment process with the sample state changes generated during sampling. This reduces the impact of mismatch between fixed sampling and solidification methods and the actual water state, improving the representativeness of the water sample and the accuracy of subsequent detection data. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0023] Figure 1 This is a schematic flowchart of a water quality collection and treatment method for environmental monitoring provided in an embodiment of the present invention.

[0024] Figure 2 This is a schematic diagram of the structure of a water quality collection and treatment system for environmental monitoring provided in an embodiment of the present invention. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0026] Optional, see below Figure 1 , Figure 1 This is a flowchart illustrating the water quality collection and treatment method for environmental monitoring provided by the present invention. In this embodiment of the invention, the main body executing the water quality collection and treatment method for environmental monitoring is the water quality collection and treatment system for environmental monitoring. Therefore, the water quality collection and treatment method for environmental monitoring includes...

[0027] Step 10: Apply micro-perturbation to the target sampling point, collect the first water body disturbance information after micro-perturbation, and generate the first transient response data.

[0028] Step 10 is used to obtain the response of the target sampling point to minor sampling actions before formal sampling. The response of the target sampling point to actions such as suction, probe approach, and intake opening varies under different hydrological conditions, sediment conditions, stratification conditions, and pollutant distribution conditions. If formal sampling is carried out directly, the sampling actions may cause particulate resuspension, changes in dissolved oxygen, changes in redox state, or disruption of thermosalinous stratification, thereby affecting the representativeness of the water sample. Therefore, Step 10 first contacts the target sampling point with a low-intensity, short-duration micro-disturbance method that is not aimed at obtaining formal test water samples, and simultaneously collects the first water body disturbance information after the micro-disturbance.

[0029] Specifically, the first water body disturbance information can reflect the changes in different water quality parameters at the target sampling point after a micro-disturbance, including parameter value increases, decreases, peak appearances, recovery trends, and stability. By time-stamping and parameter category-stamping the first water body disturbance information, the first transient response data can be obtained. The first transient response data is not a static measurement value at a single moment, but rather contains response process information for multiple moments and multiple parameter categories before and after the disturbance.

[0030] Optionally, before executing step 10, the sampling status of the target sampling point can be obtained, such as the water flow status, water depth status, bottom sedimentation status, water intake location status, and sampling equipment positioning status, and the micro-disturbance execution mode can be determined based on the sampling status. See steps 101 to 102 for details.

[0031] Step 20: Extract response feature information from the first transient response data, and generate a sampling disturbance response fingerprint based on the water quality parameter category and disturbance performance category.

[0032] Step 20 is used to organize the first transient response data obtained in step 10 into a sampling perturbation response fingerprint that can characterize the perturbation sensitivity of the target sampling point. The first transient response data usually contains the change information of multiple parameter categories at multiple times. Directly using it for subsequent matching can easily lead to problems such as inconsistent data dimensions and unclear feature meanings. Therefore, step 20 extracts response amplitude features, response sequence features, response duration features, response recovery features, and response stability features from the first transient response data to form response feature information.

[0033] The response amplitude feature reflects the strength of parameter changes after a micro-disturbance; the response sequence feature reflects the temporal order of responses of different water quality parameter categories to micro-disturbances; the response duration feature reflects the duration of the disturbance's influence; the response recovery feature reflects the process of parameters reverting to their pre-disturbance state; and the response stability feature reflects whether there are significant fluctuations in the response process. These features collectively reflect the disturbance sensitivity of the target sampling point.

[0034] Further, step 20 involves aggregating the response feature information according to the water quality parameter category, ensuring that each category of water quality parameter corresponds to a specific response feature; then, the aggregated features are labeled according to the disturbance manifestation category to obtain the disturbance manifestation labeling result; finally, the parameter category response features and the disturbance manifestation labeling result are combined to form a sampled disturbance response fingerprint. This is described in detail in steps 201 to 203.

[0035] Step 30: Based on the sampling disturbance response fingerprint matching sensitive type template, obtain the sensitive type corresponding to the target sampling point, determine the initial sampling parameters based on the sensitive type, and perform formal sampling according to the initial sampling parameters to collect the second water body disturbance information in the formal sampling and generate the second transient response data.

[0036] Step 30 is used to determine the sensitivity type of the target sampling point based on the sampling disturbance response fingerprint, and to convert the sensitivity type into the initial sampling parameters required for formal sampling. Different sensitivity types correspond to different sampling risks. In one specific implementation, the particle resuspension sensitivity type requires attention to the sampling flow rate and sampling port location; the dissolved oxygen disturbance sensitivity type requires attention to the start / stop status of the sampling pipeline and the filling status of the sampling bottle; the redox disturbance sensitivity type requires attention to the sampling duration and sampling container switching status; and the thermosalinity stratification disturbance sensitivity type requires attention to the sampling port location, sampling duration, and sampling flow rate.

[0037] In step 30, a sensitive type template is first obtained. The sensitive type template includes a sensitive type identifier and perturbation behavior conditions. Template matching results are obtained by comparing the perturbation behavior identifier result in the sampled perturbation response fingerprint with the perturbation behavior conditions. Then, the corresponding sensitive type identifier is read to obtain the sensitive type corresponding to the target sampling point. Sensitive types include particle resuspension sensitive type, dissolved oxygen perturbation sensitive type, redox perturbation sensitive type, and thermosalinous stratification perturbation sensitive type.

[0038] Further, step 30 calls the sampling configuration item associated with the sensitivity type, reads the sampling configuration parameters from the sampling configuration item, and combines the sampling configuration parameters into initial sampling parameters. The sampling device is adjusted according to the initial sampling parameters, and formal sampling is performed after the sampling device meets the initial sampling parameters. During the formal sampling process, the disturbance information of the second water body continues to be collected, and the second transient response data is generated. See steps 301 to 306 for details.

[0039] Step 40: A baseline perturbation response state is formed from the sampled perturbation response fingerprint, and an actual perturbation response state is formed from the second transient response data. The baseline perturbation response state and the actual perturbation response state are compared to obtain the response deviation state.

[0040] Step 40 is used to identify the response differences generated by the formal sampling process relative to the micro-disturbance process. The sampling disturbance response fingerprint reflects the baseline disturbance response state of the target sampling point under micro-disturbance, which can serve as a reference performance of the target sampling point to weaker sampling actions. The second transient response data reflects the actual disturbance response state of the target sampling point under formal sampling, which includes the disturbance performance of the formal sampling action on the water body. Comparing the two states can identify whether formal sampling enhances, weakens, prolongs, or changes the disturbance performance.

[0041] Specifically, the baseline disturbance response state is formed by the parameter category response characteristics and disturbance behavior identification results in the sampled disturbance response fingerprint; the actual disturbance response state is formed by the parameter category change characteristics under formal sampling in the second transient response data. Both states are organized according to the corresponding parameter categories, so that subsequent comparisons have a clear target. The comparison results include deviation direction, deviation magnitude, deviation duration, and deviation recovery state.

[0042] Optionally, the deviation direction is used to indicate whether the parameter change under formal sampling is enhanced, weakened, or reversed relative to the parameter change under micro-perturbation; the deviation magnitude is used to indicate the difference in response intensity; the deviation duration is used to indicate whether the duration of the perturbation effect is prolonged; and the deviation recovery state is used to indicate whether the parameter recovery after formal sampling is slower or becomes unstable. See steps 401 to 403 for details.

[0043] Step 50: Determine the sampling action disturbance information based on the response deviation state and the initial sampling parameters, and determine the water sample disturbance risk level and disturbance dominance type based on the sampling action disturbance information and the second transient response data.

[0044] Step 50 establishes a connection between the response deviation and the formal sampling action, thereby determining the degree of risk of disturbance to the water sample and the dominant type of disturbance. A response deviation alone typically only indicates a change in water quality parameters during formal sampling; combining this with the initial sampling parameters allows for further analysis of the correlation between changes in water quality parameters and the sampling action, such as whether it is related to sampling configuration parameters.

[0045] Specifically, step 50 first aggregates the deviation direction, deviation magnitude, deviation duration, and deviation recovery state in the response deviation state to obtain the perturbation change performance of the formal sampling relative to the micro-perturbation. Then, the perturbation change performance is correlated with the initial sampling parameters to obtain the sampling action perturbation source, sampling action perturbation performance, and sampling action perturbation impact. This forms the sampling action perturbation information.

[0046] Furthermore, the sampling action disturbance information is labeled with risk level to obtain the water sample disturbance risk level; the second transient response data is categorized into parameter categories, and the correspondence between the categorized parameter category change characteristics and the sampling action disturbance information is constructed to obtain the parameter disturbance contribution result; the dominant parameter category is selected according to the parameter disturbance contribution result, and the dominant disturbance type is generated from the dominant parameter category. See steps 501 to 506 for details.

[0047] Step 60: Determine the water sample treatment method based on the water sample disturbance risk level and the dominant disturbance type, and process the water sample obtained from formal sampling according to the water sample treatment method.

[0048] Step 60 is used to perform targeted processing on the water samples obtained from formal sampling based on the aforementioned identification results. Different disturbance risk levels and dominant disturbance types require different water sample processing methods. If the water sample disturbance risk level is high, it indicates that the formal sampling action may have a significant impact on the representativeness of the water sample, requiring increased processing intensity; if the dominant disturbance type is different, the processing items should also be different. In one specific embodiment, particle resuspension-related disturbances can focus on settling or filtration; dissolved oxygen disturbances or redox disturbances can focus on light-protected storage, constant temperature storage, stabilizer addition, or separate bottle storage; thermosalinous stratification disturbances can focus on constant temperature storage, separate bottle storage, and resampling.

[0049] In step 60, the water sample treatment intensity is determined based on the water sample disturbance risk level, and the water sample treatment items are determined based on the dominant disturbance type. Dynamic treatment parameters are then generated based on the water sample treatment intensity and the water sample treatment items, and the water sample treatment method is formed by the water sample treatment items and the dynamic treatment parameters. Subsequently, dynamic treatment is performed on the water samples obtained from formal sampling according to the water sample treatment method, and a water sample treatment record is generated.

[0050] Furthermore, the water sample treatment record includes the water sample disturbance risk level, the dominant disturbance type, the water sample treatment items, and dynamic treatment parameters. This record can be used for subsequent interpretation of test results, sample quality control, and traceability of environmental monitoring reports. See steps 601 to 604 for details.

[0051] Compared with related technologies, the present invention has at least the following beneficial effects:

[0052] Firstly, the present invention sets up a micro-disturbance process before formal sampling. By collecting the first water body disturbance information after micro-disturbance, it is possible to identify the sensitivity of the target sampling point to the sampling action before formal sampling, which helps to reduce the possibility of blind sampling causing the water sample state to deviate from the on-site state.

[0053] Secondly, this invention generates sampling disturbance response fingerprints based on water quality parameter categories and disturbance manifestation categories, transforming the disturbance response of the target sampling point from a single parameter judgment to a comprehensive characterization of multiple parameters and multiple manifestation categories, which helps to improve the targeting of sensitive type identification.

[0054] Third, this invention is based on sampling disturbance response fingerprint matching sensitive type template, and determines the initial sampling parameters according to the sensitive type, so that the formal sampling parameters can be adapted to the actual disturbance sensitivity performance of the target sampling point, which helps to improve the stability of the water quality sampling process.

[0055] Fourth, during the formal sampling process, the present invention continues to collect second water body disturbance information and forms second transient response data. By comparing the baseline disturbance response state with the actual disturbance response state, it can identify the deviation of the formal sampling action from the response generated by the micro-disturbance, which helps to discover the potential impact of the sampling action on the water sample.

[0056] Fifth, this invention associates the response deviation state with the initial sampling parameters to form sampling action disturbance information, and further determines the water sample disturbance risk level and the dominant disturbance type, so that water sample treatment no longer relies solely on fixed rules, but can be dynamically determined in combination with the actual sampling disturbance performance, thereby improving the accuracy of water sample treatment and the accuracy of water quality monitoring data.

[0057] Sixth, the present invention determines the water sample treatment method based on the water sample disturbance risk level and the dominant disturbance type, and generates a water sample treatment record, which helps to ensure the traceability of the water sample treatment process and the completeness of the interpretation of the test results.

[0058] In one embodiment, steps 101-102 are described as follows:

[0059] Step 101: Obtain the sampling status of the target sampling point, and perform combination matching based on the sampling status to obtain the micro-perturbation execution mode.

[0060] Before conducting formal sampling, the sampling status of the target sampling point must be obtained. The sampling status describes the site conditions and sampling preparation conditions of the target sampling point before sampling. The sampling status may include the water flow status, water stratification status, water turbidity status, water depth status, bottom sediment proximity status, sampling equipment intake position status, and sampling equipment placement status of the target sampling point.

[0061] In one specific implementation, when the target sampling point is located in an area with a slow flow velocity and obvious bottom sediments, the sampling state can be characterized as a state of obvious bottom sedimentation; when there is a vertical change in the category of water quality parameters at the target sampling point, the sampling state can be characterized as a state of vertical stratification; when there is a change in the category of water quality parameters related to gas exchange at the target sampling point, the sampling state can be characterized as a state of gas exchange change.

[0062] After acquiring the sampling status, it is combined and matched with a pre-set micro-disturbance execution mode. The micro-disturbance execution mode defines the type, intensity, duration, and information acquisition coordination of the micro-disturbance. Micro-disturbance execution modes can include low-intensity suction, short-term intake port opening, slow approach to the target sampling layer, and low-amplitude water contact. The purpose of this combination and matching is to ensure that the micro-disturbance elicits an observable water response without significantly altering the state of the target sampling point before formal sampling.

[0063] Optionally, when the sampling status indicates that the target sampling point is sensitive to particle resuspension, the micro-perturbation execution mode can be biased towards a low-flow-rate, short-duration suction method; when the sampling status indicates that the target sampling point is sensitive to thermosalinous stratification disturbance, the micro-perturbation execution mode can be biased towards a low-displacement, short-contact intake-end approach method. Through the above combination and matching, a micro-perturbation execution mode suitable for the current target sampling point can be obtained.

[0064] Step 102: Apply micro-perturbation to the target sampling point according to the micro-perturbation execution mode, collect the first water body disturbance information after micro-perturbation, and perform time stamping and parameter category labeling based on the first water body disturbance information to obtain the first transient response data.

[0065] After obtaining the micro-disturbance execution mode, the sampling equipment or on-site sampling components apply micro-disturbances to the target sampling point according to the micro-disturbance execution mode. During the micro-disturbance application period and the response observation period after the micro-disturbance ends, the first water body disturbance information is continuously collected. The first water body disturbance information is used to reflect the changes in the water quality parameter categories after the target sampling point is subjected to micro-disturbance.

[0066] The first water body disturbance information can include changes in multiple water quality parameter categories at different sampling times. Different water quality parameter categories are used to characterize the water body response process at the target sampling point after micro-disturbance in at least one of the following: changes in particulate matter, gas exchange, redox reactions, and stratification.

[0067] After collecting the first water body disturbance information, the disturbance information is time-stamped and parameter category-labeled. Time stamping records the acquisition time for each disturbance information item, enabling subsequent identification of the response sequence, duration, and recovery process. Parameter category labeling records the water quality parameter category corresponding to each disturbance information item, allowing subsequent aggregation of response performance according to parameter category. After completing time stamping and parameter category labeling, the first transient response data is obtained.

[0068] In this embodiment, the first transient response data can be represented as a set of multi-parameter responses arranged in chronological order. The response amplitude characteristics of each water quality parameter category can be obtained based on the peak value of the corresponding parameter category during the micro-disturbance response process, the baseline state value before the micro-disturbance, and the scale reference value of the corresponding parameter category. This response amplitude characteristic is derived from the first transient response data and is used to form response feature information in subsequent steps.

[0069] In one embodiment, steps 201-203 are described as follows:

[0070] Step 201: Extract response amplitude features, response sequence features, response duration features, response recovery features, and response stability features from the first transient response data to obtain response feature information.

[0071] After obtaining the first transient response data, response feature information is extracted from it. This response feature information is not a single parameter value, but rather a set of multiple features used to describe the water body's response process after a micro-disturbance. This set includes at least response amplitude features, response sequence features, response duration features, response recovery features, and response stability features.

[0072] Response amplitude characteristics are used to reflect the degree to which water quality parameter categories deviate from the baseline state after micro-disturbance. The response amplitude characteristics corresponding to different water quality parameter categories are used to characterize the strength of disturbance at the target sampling point in different directions of water body state change.

[0073] The response sequence characteristic is used to reflect the time order in which different water quality parameter categories show obvious responses after micro-disturbance. In one specific implementation, if turbidity changes significantly before dissolved oxygen, it indicates that the particle resuspension response is earlier; if the change in dissolved oxygen occurs earlier than the change in redox potential, it indicates that gas exchange or suction disturbance has an earlier impact on the target sampling point.

[0074] Response persistence features reflect the duration of the disturbance's influence; response recovery features reflect the process of parameter categories reverting from the disturbance state to the baseline state; and response stability features reflect whether parameter changes during the response exhibit continuous fluctuations, repeated fluctuations, or a stable trend. Combining these features allows for the formation of complete response characteristic information.

[0075] Step 202: Collect response feature information based on water quality parameter categories to obtain parameter category response features, and label parameter category response features based on disturbance performance categories to obtain disturbance performance labeling results.

[0076] After obtaining the response characteristic information, the response characteristic information is aggregated according to the water quality parameter category. During aggregation, response amplitude characteristics, response sequence characteristics, response duration characteristics, response recovery characteristics, and response stability characteristics belonging to the same water quality parameter category are grouped together to form corresponding parameter category response characteristics.

[0077] In one specific embodiment, the parameter category response characteristics corresponding to any water quality parameter category may include the response amplitude, response occurrence order, response duration, response recovery state, and response stability state of that water quality parameter category. Other water quality parameter categories form their corresponding parameter category response characteristics in the same manner.

[0078] After obtaining the parameter category response features, these features are further identified based on the perturbation behavior category. The perturbation behavior category describes the type of perturbation behavior corresponding to the parameter category response features.

[0079] Specifically, the aggregated features are labeled according to the perturbation manifestation category to obtain perturbation manifestation labeling results: the response amplitude, response sequence, response duration, response recovery, and response stability in the parameter category response features are read and compared with the perturbation manifestation conditions corresponding to the perturbation manifestation category; when the comparison result points to one of the changes in particulate matter, gas exchange, redox, or stratification state, perturbation manifestation labeling results for particulate resuspension, dissolved oxygen perturbation, redox perturbation, or thermosalinous stratification perturbation are generated respectively.

[0080] In one specific implementation, when the response amplitude, response recovery state, and response duration of a certain water quality parameter category meet the disturbance performance conditions corresponding to the particle resuspension sensitive type, it can be identified as a particle resuspension-related performance; when the response performance of a certain water quality parameter category meets the disturbance performance conditions corresponding to the dissolved oxygen disturbance sensitive type, it can be identified as a dissolved oxygen disturbance-related performance; when the response performance of a certain water quality parameter category meets the disturbance performance conditions corresponding to the redox disturbance sensitive type, it can be identified as a redox disturbance-related performance; when the response sequence and response duration of a certain water quality parameter category meet the disturbance performance conditions corresponding to the thermosalinous stratification disturbance sensitive type, it can be identified as a thermosalinous stratification disturbance-related performance.

[0081] After identifying the response characteristics of the parameter categories, the perturbation performance identification results are obtained. The perturbation performance identification results provide a basis for subsequent matching of sensitive type templates.

[0082] Step 203: Combine the parameter category response features and the disturbance performance identification results to generate a sampled disturbance response fingerprint.

[0083] After completing the parameter category response characteristics and disturbance behavior identification results, the two are combined to generate a sampling disturbance response fingerprint. The sampling disturbance response fingerprint is used to express the comprehensive response characteristics of the target sampling point under micro-disturbances. This fingerprint includes both response information for different water quality parameter categories and identification information for different disturbance behavior categories.

[0084] In this embodiment, the sampling disturbance response fingerprint may include a parameter category response feature set and a disturbance behavior identifier set. The parameter category response feature set is used to record the response amplitude, response sequence, response duration, response recovery, and response stability of each water quality parameter category; the disturbance behavior identifier set is used to record the disturbance behavior category corresponding to the above response features. When combined, the sampling disturbance response fingerprint can reflect the response structure of the target sampling point after being subjected to a micro-disturbance.

[0085] The sampled perturbation response fingerprint generated in step 203 serves as the basis for subsequent sensitive type identification and baseline perturbation state formation; among them, the perturbation performance identification result is used for matching with the sensitive type template in step 302, and the parameter category response feature is used to form the baseline perturbation response state under micro-perturbation conditions in step 401.

[0086] In one embodiment, steps 301-306 are described as follows:

[0087] Step 301: Obtain the sensitive type template, which includes the sensitive type identifier and the perturbation behavior conditions.

[0088] After generating the sampled perturbation response fingerprint, a sensitivity type template is obtained. The sensitivity type template describes the perturbation performance conditions corresponding to different sensitivity types. Each sensitivity type template includes at least a sensitivity type identifier and perturbation performance conditions. The sensitivity type identifier indicates the sensitivity type corresponding to the template; the perturbation performance conditions describe the response performance requirements corresponding to that sensitivity type.

[0089] Sensitivity types can include particulate resuspension sensitivity, dissolved oxygen disturbance sensitivity, redox disturbance sensitivity, and thermosalinity stratification disturbance sensitivity. For particulate resuspension sensitivity, the disturbance characteristics can be assessed by focusing on the amplitude of the turbidity response, the turbidity recovery state, and the duration of the turbidity response. For dissolved oxygen disturbance sensitivity, the disturbance characteristics can be assessed by focusing on the amplitude of the dissolved oxygen response, the response recovery state, and changes related to the sampling action. For redox disturbance sensitivity, the disturbance characteristics can be assessed by focusing on the direction of the redox potential response, the response duration, and the recovery state. For thermosalinity stratification sensitivity, the disturbance characteristics can be assessed by focusing on the sequence and stable changes in parameters such as temperature, conductivity, and salinity.

[0090] Sensitive type templates can be created before the sampling task is executed, or updated based on the water characteristics of the monitoring area and historical sampling records. The disturbance behavior conditions in the template should be comparable to the disturbance behavior identification results in the sampling disturbance response fingerprint.

[0091] Step 302: Compare the disturbance performance identifier in the sampled disturbance response fingerprint with the disturbance performance conditions to obtain the template matching result.

[0092] After obtaining the sensitive type template, the disturbance behavior identification results in the sampled disturbance response fingerprint are compared with the disturbance behavior conditions in the sensitive type template. The comparison objects include the disturbance behavior identification results corresponding to each water quality parameter category, and the condition items in the sensitive type template corresponding to that disturbance behavior category.

[0093] In one specific embodiment, when the turbidity response amplitude is significant, the response duration is long, and the recovery state is slow in the sampling perturbation response fingerprint, it has a strong correspondence with the perturbation performance conditions in the particle resuspension sensitive type template; when the dissolved oxygen response is significant and the recovery state shows the influence of the sampling action, it has a strong correspondence with the perturbation performance conditions in the dissolved oxygen perturbation sensitive type template; when the response sequence characteristics of temperature, conductivity, or salinity reflect stratification perturbation, it corresponds to the thermosalinity stratification perturbation sensitive type template.

[0094] Template matching results can reflect the degree of matching between the sampled perturbation response fingerprint and templates of different sensitivity types. The template matching process can be represented by the following matching degree formula:

[0095]

[0096] in, Indicates the template number of the sensitive type; Indicates the sampling perturbation response fingerprint and the first The degree of matching between sensitive type templates;

[0097] Indicates the category number of the water quality parameter;

[0098] This represents the set of water quality parameter categories involved in the matching;

[0099] Indicates the category number of the disturbance behavior;

[0100] This represents the set of perturbation behavior categories that participate in the matching;

[0101] Indicates the first The water quality parameter categories in the first The corresponding sensitive type template in the first Matching weights for each perturbation behavior category;

[0102] Indicating the sampling perturbation response fingerprint, the first... The category of water quality parameters corresponds to the first The identification results of the first disturbance performance category are compared with the first... The degree to which the corresponding perturbation behavior conditions are met in each sensitive type template;

[0103] Indicates the first In the first sensitive type template Enhanced weights for each perturbation behavior category;

[0104] Indicates the first The water quality parameter categories in the first Normalized response performance values ​​under each disturbance performance category;

[0105] Indicates the first Temporal consistency weights for sensitive type templates;

[0106] Indicates the sampling perturbation response fingerprint and the first Consistency representation of response sequence among sensitive type templates.

[0107] The template matching result obtained in step 302 is used to read the corresponding sensitive type identifier in step 303. The quality of the template matching result directly affects the sampling configuration items called subsequently, thus affecting the determination of the initial sampling parameters.

[0108] Step 303: Read the corresponding sensitive type identifier according to the template matching result to obtain the sensitive type corresponding to the target sampling point.

[0109] After obtaining the template matching results, the corresponding sensitive type identifier is read according to the template matching results. If a certain sensitive type template matches the sampling perturbation response fingerprint with a high degree of matching, the sensitive type identifier corresponding to that sensitive type template is read, and that sensitive type identifier is used as the sensitive type corresponding to the target sampling point.

[0110] When multiple sensitive type templates have matching relationships, the primary sensitive type can be determined based on the order of the template matching results. Alternatively, multiple sensitive type identifiers can be retained and considered comprehensively when subsequent sampling configuration items are called. Regardless of whether a single sensitive type or a combination of multiple sensitive types is used, a correspondence should be maintained between the sensitive type and the disturbance behavior identifier results in the sampled disturbance response fingerprint.

[0111] The sensitivity type determined in step 303 has a mapping relationship with the sampling configuration item call in step 304. Different sensitivity types correspond to different combinations of sampling configuration parameters, so that the subsequent initial sampling parameters can be adapted to the disturbance sensitivity performance of the target sampling point.

[0112] Step 304: Invoke the sampling configuration item associated with the sensitive type, read the sampling configuration parameters from the sampling configuration item, and combine the sampling configuration parameters to obtain the initial sampling parameters.

[0113] After determining the sensitivity type corresponding to the target sampling point, the sampling configuration item associated with the sensitivity type is invoked. The sampling configuration item is used to record the sampling configuration parameters adapted to the sensitivity type. The sampling configuration parameters include sampling port location, sampling flow rate, sampling duration, sampling pipeline start / stop status, sampling container switching status, and sampling bottle filling status.

[0114] In one specific implementation, for particle resuspension-sensitive types, the sampling configuration items can favor a gentler sampling flow rate and control the sampling port position to reduce bottom disturbance; for dissolved oxygen disturbance-sensitive types, the sampling configuration items can favor controlling the start / stop status of the sampling pipeline and the filling status of the sampling bottle to reduce the impact of gas exchange during the water sample sampling process; for redox disturbance-sensitive types, the sampling configuration items can favor controlling the sampling continuity status and the sampling container switching status to reduce the disturbance to the redox environment during the sampling process; for thermosalinous stratification-sensitive types, the sampling configuration items can favor maintaining the sampling port position and controlling the sampling flow rate and sampling continuity status to reduce vertical disturbance.

[0115] After reading the sampling configuration parameters from the sampling configuration items, the sampling configuration parameters are combined to obtain the initial sampling parameters. The initial sampling parameters are used to guide the adjustment of the formal sampling equipment and the execution of formal sampling actions.

[0116] The initial sampling parameters obtained in step 304 are not only used to adjust the sampling equipment in step 305, but also serve as the parameter basis for identifying the source of disturbance in the sampling action in step 502, so that the formal sampling action and the subsequent disturbance analysis process can be correlated.

[0117] Step 305: Adjust the sampling equipment according to the initial sampling parameters, and perform formal sampling after the sampling equipment meets the initial sampling parameters.

[0118] After obtaining the initial sampling parameters, adjust the sampling equipment according to these parameters. Adjustments may include adjusting the sampling port position, sampling flow rate, sampling pipeline start / stop status, sampling container switching status, confirming the sampling bottle filling status, and confirming the sampling continuity status. The sampling equipment meeting the initial sampling parameters means that the actual sampling state of the sampling equipment is consistent with or within the allowable range defined by the initial sampling parameters.

[0119] After the sampling equipment meets the initial sampling parameters, formal sampling is performed. Formal sampling is used to obtain the water sample required for subsequent testing. During formal sampling, the changes in the state of the target sampling point should be observed and recorded in order to collect information on the disturbance of the second water body. Formal sampling differs from the micro-disturbance in step 10. Formal sampling aims to obtain a water sample, and the duration and volume of the sampling action are usually different from the micro-disturbance process, which may produce a more obvious disturbance response.

[0120] By completing the identification of sensitive types and the determination of initial sampling parameters before formal sampling, the formal sampling process can be adapted to the perturbation sensitivity of the target sampling points.

[0121] Step 306: Collect the disturbance information of the second water body in the formal sampling, and mark the disturbance information of the second water body with time and parameter category to generate the second transient response data.

[0122] During the formal sampling process, disturbance information from the second water body is collected. This disturbance information describes the water body response at the target sampling point under the formal sampling action. This information may include changes in water quality parameters such as turbidity, dissolved oxygen, conductivity, temperature, redox potential, salinity, and pH.

[0123] After collecting disturbance information from the second water body, the disturbance information is time-stamped and parameter category-labeled. The time stamp is used to record the time corresponding to the changes in each water quality parameter during the formal sampling process, and the parameter category label is used to determine the water quality parameter category to which each disturbance information belongs. After labeling, the second transient response data is generated.

[0124] The second transient response data corresponds structurally to the first transient response data, both containing time and parameter category information; however, they correspond to different sampling actions: the first transient response data corresponds to the micro-perturbation process, while the second transient response data corresponds to the formal sampling process. This correspondence provides the basis for subsequently forming the actual perturbation response state and response deviation state.

[0125] In one embodiment, steps 401-403 are described as follows:

[0126] Step 401: Analyze the parameter category response features and disturbance performance identification results in the sampled disturbance response fingerprint to form the baseline disturbance response state of the target sampling point under micro-disturbance.

[0127] After completing the formal sampling and generating the second transient response data, the sampled disturbance response fingerprint is first analyzed. The analysis includes parameter category response characteristics and disturbance behavior identification results in the sampled disturbance response fingerprint. The parameter category response characteristics are used to describe the response behavior of each water quality parameter category under micro-disturbance, and the disturbance behavior identification results are used to describe the disturbance behavior category corresponding to these response behaviors.

[0128] By analyzing the sampling disturbance response fingerprint, a baseline disturbance response state of the target sampling point under micro-disturbances can be formed. The baseline disturbance response state can be understood as the reference response of the target sampling point to a slight sampling action. This state includes the response direction, response strength, response sequence, response duration, response recovery, and disturbance behavior category for each water quality parameter category.

[0129] The purpose of establishing a baseline perturbation response state is to provide a comparison benchmark for the actual response under formal sampling. Since different target sampling points have different natural background conditions and perturbation sensitivities, directly comparing formal sampling data with a fixed threshold may fail to reflect the true impact of the perturbation. This embodiment uses the baseline perturbation response state under micro-perturbation as a reference, which helps to reflect the actual field characteristics of the target sampling points.

[0130] Step 402: Extract the parameter category change features under formal sampling from the second transient response data to form the actual disturbance response state of the target sampling point under formal sampling.

[0131] After establishing the baseline disturbance response state, parameter category change characteristics under formal sampling are extracted from the second transient response data. These parameter category change characteristics can include the direction, magnitude, occurrence time, duration, recovery, and stability of each water quality parameter category during the formal sampling process.

[0132] In one specific implementation, during the formal sampling process, if the turbidity increases and persists for a long time, the turbidity parameter category change characteristics can reflect the impact of particle resuspension; if the dissolved oxygen changes significantly during the sampling process, the dissolved oxygen parameter category change characteristics can reflect the impact of the sampling action on gas exchange or the start-up and shutdown status of the sampling pipeline; if the redox potential changes continuously and recovers slowly, the redox potential parameter category change characteristics can reflect the impact of disturbance on the redox environment.

[0133] The parameter category changes under formal sampling are organized according to water quality parameter categories to form the actual disturbance response state of the target sampling point under formal sampling. The actual disturbance response state is used to reflect the true response performance of the target sampling point to the formal sampling action.

[0134] Step 403: Compare the baseline disturbance response state and the actual disturbance response state under the corresponding parameter categories to obtain the response deviation state, including deviation direction, deviation magnitude, deviation duration, and deviation recovery state.

[0135] After obtaining the baseline disturbance response state and the actual disturbance response state, a state comparison is performed between the two under corresponding parameter categories. State comparison under corresponding parameter categories refers to comparing the response performance of the same water quality parameter category under micro-disturbance with the response performance under formal sampling. In one specific implementation, the turbidity response state under micro-disturbance is compared with the turbidity response state under formal sampling, and the dissolved oxygen response state under micro-disturbance is compared with the dissolved oxygen response state under formal sampling.

[0136] The comparison results form the response deviation state. The response deviation state includes the deviation direction, deviation magnitude, deviation duration, and deviation recovery state. The deviation direction indicates whether the response under formal sampling is enhanced, weakened, or reversed relative to the baseline perturbation response state; the deviation magnitude indicates the strength difference between the response under formal sampling and the baseline perturbation response state; the deviation duration indicates the change in the duration of the perturbation effect under formal sampling relative to the baseline perturbation response state; and the deviation recovery state indicates the change in the parameter category recovery process after formal sampling relative to the baseline perturbation response state.

[0137] To illustrate the quantitative characterization process of the response deviation state, the following deviation state characterization formula can be used. The result obtained from this formula is the quantitative characterization form of the response deviation state:

[0138]

[0139] in, Indicates the first Quantitative characterization of the response deviation state for each water quality parameter category; Indicates the category number of the water quality parameter;

[0140] , , , These represent the weighting coefficients corresponding to differences in response magnitude, response duration, response recovery, and response sequence, respectively.

[0141] Indicates the first The difference in response magnitude between the actual disturbance response state and the baseline disturbance response state for each water quality parameter category;

[0142] Indicates the first The response of each water quality parameter category shows a persistent difference between the actual disturbance response state and the baseline disturbance response state.

[0143] Indicates the first Differences in response recovery between actual and baseline perturbation response states for each water quality parameter category.

[0144] Indicates the first The difference in the order of response of each water quality parameter category between the actual disturbance response state and the baseline disturbance response state.

[0145] This quantification value is used to help form the response deviation state and to subsequently determine the sampling action perturbation information.

[0146] The response deviation state obtained in step 403 is used to collect deviation performance in step 501, and further serves as one of the quantitative bases in determining the water sample disturbance risk level in step 504 and the parameter disturbance contribution result in step 506.

[0147] In one embodiment, steps 501-506 are described as follows:

[0148] Step 501: Collect the deviation direction, deviation magnitude, deviation duration and deviation recovery state in the response deviation state to obtain the perturbation change performance of the formal sample relative to the micro-perturbation.

[0149] After obtaining the response deviation states, the deviation direction, deviation magnitude, deviation duration, and deviation recovery state are aggregated. The aggregated objects are the response deviation states corresponding to each water quality parameter category. The purpose of this aggregation is to organize the deviation manifestations scattered across different parameter categories into a disturbance change manifestation that can reflect the overall impact of the formal sampling.

[0150] In one specific implementation, if multiple parameter categories all exhibit increased response amplitude, prolonged response duration, and slower recovery, they can be grouped into a perturbation enhancement performance of formal sampling relative to micro-perturbations; if only one parameter category shows a significant deviation while other parameter categories change less, they can be grouped into a perturbation change performance dominated by a single parameter; if the deviation directions of multiple parameter categories are inconsistent, they can be grouped into a composite perturbation change performance.

[0151] The perturbation change is an intermediate result connecting the response deviation state with the perturbation information of the sampling action. This result retains information such as the deviation direction, deviation magnitude, deviation duration, and deviation recovery state, while enabling subsequent establishment of a correspondence with the initial sampling parameters.

[0152] Step 502 involves correlating the disturbance change behavior with the initial sampling parameters to obtain the disturbance source, disturbance behavior, and disturbance impact of the sampling action. After obtaining the disturbance change behavior, it is correlated with the initial sampling parameters. The initial sampling parameters are derived from the sampling configuration items corresponding to the sensitivity type and reflect the sampling configuration parameters during the formal sampling process. Correlating the disturbance change behavior with the initial sampling parameters allows for the determination of which sampling conditions in the formal sampling action may affect the disturbance change behavior.

[0153] Specifically, when establishing the correspondence between disturbance changes and initial sampling parameters, the sampling parameters include the sampling port location, sampling flow rate, sampling duration, sampling pipeline start / stop status, sampling container switching status, and sampling bottle filling status. The disturbance behavior parameters include the category, direction, magnitude, duration, and recovery status of the deviated water quality parameters. The increased turbidity response is correlated with the sampling flow rate or sampling port location; the dissolved oxygen response change is correlated with the sampling pipeline start / stop status or sampling bottle filling status; the temperature, conductivity, or salinity changes are correlated with the sampling port location or sampling duration; and the redox potential change is correlated with the sampling duration or sampling container switching status. This yields the correspondence between disturbance changes and initial sampling parameters.

[0154] The source of sampling disturbance is used to describe the sampling conditions under which the disturbance change may originate. In one specific embodiment, when the turbidity response increases and corresponds to the sampling flow rate or sampling port location, the source of sampling disturbance may point to a disturbance related to the sampling flow rate or sampling port location; when the dissolved oxygen response changes and corresponds to the start / stop state of the sampling pipeline or the filling state of the sampling bottle, the source of sampling disturbance may point to a disturbance related to the start / stop state of the pipeline or the filling state of the sampling bottle; when changes in temperature, conductivity, or salinity correspond to the sampling port location or the sampling duration, the source of sampling disturbance may point to a disturbance related to stratification disruption.

[0155] Sampling action disturbance performance describes the specific manifestation of disturbance changes across parameter categories, such as enhanced particulate matter response, dissolved oxygen deviation, altered redox state, or thermosalinous stratification response. Specifically, after identifying the source of the sampling action disturbance, a sampling action disturbance performance is generated based on the corresponding water quality parameter category and its response deviation state. The deviation direction, deviation magnitude, deviation duration, and deviation recovery state corresponding to that water quality parameter category are read and combined with the parameter category change characteristics to obtain the sampling action disturbance performance.

[0156] The impact of sampling action disturbance is used to illustrate the potential influence of the aforementioned disturbance on the representativeness of the water samples obtained through formal sampling. Specifically, after obtaining the sampling action disturbance, the impact is determined based on the water quality parameter category, deviation magnitude, deviation duration, and deviation recovery state corresponding to the sampling action disturbance. When the sampling action disturbance corresponds to only a single water quality parameter category and the deviation recovery state shows that it can recover to the baseline disturbance response state, the impact of the sampling action disturbance is determined to be a state where the representativeness of a single parameter category is affected; when the sampling action disturbance corresponds to multiple water quality parameter categories, or when the deviation duration is prolonged and the deviation recovery state is slowed down, the impact of the sampling action disturbance is determined to be a state where the representativeness of multiple parameter categories is affected; when the sampling action disturbance does not cause the deviation duration to be prolonged or the deviation recovery state to be slowed down, the impact of the sampling action disturbance is determined to be a state where the representativeness of the water sample is maintained.

[0157] After linking the disturbance changes with the initial sampling parameters in step 502, the changes in water quality parameters can be traced back to the specific sampling action conditions, and the data foundation for step 503 to form the disturbance information of the sampling action in terms of source, manifestation and impact can be provided.

[0158] Step 503: Combine the source of sampling action disturbance, the manifestation of sampling action disturbance, and the impact of sampling action disturbance to form sampling action disturbance information.

[0159] After obtaining the source, manifestation, and impact of the sampling action disturbance, these three factors are combined to form the sampling action disturbance information. This information comprehensively describes the disturbance generated by the formal sampling action on the target sampling point and the formally sampled water sample.

[0160] Sampling action disturbance information can include source, manifestation, and impact fields. The source field records the correspondence between the disturbance and the initial sampling parameters; the manifestation field records the response of the disturbance to different water quality parameter categories; and the impact field records the influence of the disturbance on the representativeness of the water sample, detection stability, or subsequent treatment requirements. Through this combination, the sampling action disturbance information retains both the water body change information during the response deviation and the effect of the formal sampling action conditions on the disturbance changes.

[0161] The sampling action disturbance information generated in step 503 is used in step 504 for risk level identification and in step 505 for constructing the correspondence between parameter category change characteristics and sampling action disturbance information.

[0162] Step 504: The risk level of the sampling disturbance information is identified to obtain the water sample disturbance risk level.

[0163] After generating sampling disturbance information, a risk level label is assigned to this information. The risk level label categorizes the sampling disturbance information into different water sample disturbance risk levels. The water sample disturbance risk level records the degree of impact of the formal sampling action on the representativeness of the water sample, the stability of the detection, or the requirements of subsequent processing. The water sample disturbance risk level can be determined based on the number of sources of sampling disturbance, the strength of the disturbance, the range of its impact, and the changes in the second transient response data.

[0164] In one specific implementation, when the sampling disturbance information shows that the disturbance source is single, the disturbance is weak, and the recovery status is good, it is marked as low risk level; when the sampling disturbance information shows that the disturbance source is two or more, multiple water quality parameter categories show deviation, and the recovery status is slow, it is marked as high risk level; when the sampling disturbance information shows that the disturbance source is single but the disturbance is directly related to the target monitoring indicator, a single water quality parameter category shows deviation, and the recovery status is slow, it is marked as medium risk level.

[0165] To facilitate the determination of the risk level of water sample disturbance, the following risk status characterization formula can be used:

[0166]

[0167] in, Indicates the category number of the water quality parameter;

[0168] A quantitative characterization value representing the risk level of water sample disturbance.

[0169] This represents the set of water quality parameter categories involved in determining risk status.

[0170] Indicates the first The weight of each water quality parameter category in risk status determination;

[0171] Indicates the first Quantitative characterization of the response deviation state for each water quality parameter category.

[0172] Indicates the first Formal sampling changes of each water quality parameter category are weighted more heavily;

[0173] Indicates the first Quantitative characterization values ​​of the variation characteristics of each water quality parameter category in the second transient response data;

[0174] Indicates the weight of the disturbance source in the sampling action;

[0175] A quantized representation of the source of disturbance in the sampling action;

[0176] This indicates the weights affected by the sampling action perturbation;

[0177] A quantitative representation of the impact of sampling action disturbances;

[0178] Indicates the associated weights of the target monitoring indicators;

[0179] This represents the correlation between the perturbation performance of the sampling action and the target monitoring index.

[0180] The water sample disturbance risk level obtained in step 504 is used to determine the water sample treatment intensity in step 601 and participates in the generation of dynamic treatment parameters in step 602, so that the water sample treatment method can be dynamically adjusted according to the disturbance risk level.

[0181] Step 505: Collect parameter categories from the second transient response data, construct the correspondence between the collected parameter category change characteristics and the sampling action disturbance information, and obtain the parameter disturbance contribution results.

[0182] After obtaining the water sample disturbance risk level, the second transient response data is categorized into parameter categories. Parameter category categorization refers to organizing time-stamped data and parameter change data belonging to the same water quality parameter category in the second transient response data together to form a categorized parameter category change characteristic. This characteristic is used to reflect the degree of response of each water quality parameter category to the sampling action during the formal sampling process.

[0183] Next, a correspondence is established between the aggregated parameter category change characteristics and sampling action disturbance information. This correspondence is used to explain the relationship between the change characteristics of each water quality parameter category and the source, manifestation, and impact of sampling action disturbance. In one specific embodiment, the turbidity parameter category change characteristics correspond to disturbance sources related to sampling flow rate or sampling port location; the dissolved oxygen parameter category change characteristics correspond to disturbance sources related to the start / stop status of the sampling pipeline or the filling status of the sampling bottle; and the temperature, conductivity, or salinity parameter category change characteristics correspond to disturbance sources related to the sampling port location or sampling continuity status.

[0184] The parameter disturbance contribution results can be obtained through the above correspondence. These results illustrate the contribution of different water quality parameter categories to the disturbance caused by the sampling action. This result is not determined solely based on the parameter value at a single moment, but rather by combining the parameter category variation characteristics and the disturbance information from the sampling action.

[0185] The parameter disturbance contribution results obtained in step 505 are used to select the dominant parameter category in step 506, and together with the water sample disturbance risk level obtained in step 504, they affect the determination of subsequent dynamic processing parameters.

[0186] Step 506: Select the dominant parameter category based on the parameter disturbance contribution results, and generate the disturbance dominant type from the dominant parameter category.

[0187] After obtaining the parameter disturbance contribution results, the dominant parameter category is selected according to the parameter disturbance contribution results. The dominant parameter category refers to the water quality parameter category that makes a significant contribution to the sampling disturbance. In one specific implementation, if the turbidity parameter category makes a significant contribution, the dominant parameter category can point to particulate matter-related parameters; if the dissolved oxygen parameter category makes a significant contribution, the dominant parameter category can point to dissolved oxygen-related parameters; if the oxidation-reduction potential parameter category makes a significant contribution, the dominant parameter category can point to oxidation-reduction-related parameters; if the temperature, conductivity, or salinity parameter category makes a significant contribution, the dominant parameter category can point to thermosalinous stratification-related parameters.

[0188] The dominant disturbance type is generated from the dominant parameter category. The dominant disturbance type can include particle resuspension dominant, dissolved oxygen dominant, redox dominant, thermosalinous stratification dominant, and combined disturbance dominant. The dominant disturbance type is used to subsequently determine the water sample treatment program.

[0189] To illustrate the formation of the parameter perturbation contribution results, the following contribution state characterization formula can be used:

[0190]

[0191] in, Indicates the category number of the water quality parameter;

[0192] Indicates the first The quantitative characterization value of the parameter perturbation contribution result for each water quality parameter category is used to characterize the first... The contribution of each water quality parameter category to the sampling disturbance was assessed, and the dominant parameter category was selected from among multiple water quality parameter categories.

[0193] Indicates the first Weights of the variation characteristics of each water quality parameter category;

[0194] Indicates the first Quantitative characterization values ​​of the variation characteristics of each water quality parameter category in the second transient response data;

[0195] Indicates the first Weights of the deviation state of each water quality parameter category response;

[0196] Indicates the first Quantitative characterization of the response deviation state for each water quality parameter category;

[0197] Indicates the first The weights of the correspondence between each water quality parameter category and the sampling disturbance information;

[0198] Indicates the first A quantitative representation of the correspondence between each water quality parameter category and sampling disturbance information;

[0199] Indicates the first The coupling weight between the variation characteristics and corresponding relationships of each water quality parameter category;

[0200] Identifier The coupling term that combines the variation characteristics of a water quality parameter category in the second transient response data with the correspondence between the water quality parameter category and the sampling action disturbance information;

[0201] Indicates the first The perturbation performance of each water quality parameter category is labeled with a weight; Indicates the first The quantitative characterization value of the disturbance performance identification result corresponding to each water quality parameter category.

[0202] The quantitative characterization values ​​of the parameter perturbation contribution results are used to select the dominant parameter category and to generate the perturbation dominance type.

[0203] The disturbance dominance type generated in step 506 is used in step 601 to determine the water sample treatment project, and together with the water sample disturbance risk level, determines the treatment direction and intensity of the subsequent water sample treatment method.

[0204] In one embodiment, steps 601-604 are described as follows:

[0205] Step 601: Determine the water sample treatment intensity based on the water sample disturbance risk level, and determine the water sample treatment items based on the dominant disturbance type.

[0206] After determining the water sample disturbance risk level and the dominant disturbance type, the water sample treatment intensity is determined based on the water sample disturbance risk level. Water sample treatment intensity describes the extent of water sample treatment actions, such as treatment time, number of treatment steps, combination of treatment items, and recording requirements. The higher the water sample disturbance risk level, the higher the water sample treatment intensity can be; the lower the water sample disturbance risk level, the lower the water sample treatment intensity can be or a simpler treatment method can be used.

[0207] Simultaneously, water sample treatment items are determined based on the dominant disturbance type. These water sample treatment items include settling, filtration, light-protected storage, constant-temperature storage, fractionated storage, stabilizer addition, and resampling. Different treatment items correspond to different dominant disturbance types. When particulate resuspension is dominant, water sample treatment items may include at least one of settling and filtration; when dissolved oxygen disturbance is dominant, water sample treatment items may include at least one of fractionated storage, constant-temperature storage, and resampling; when redox disturbance is dominant, water sample treatment items may include at least one of light-protected storage, stabilizer addition, and fractionated storage; when thermosalinous stratification disturbance is dominant, water sample treatment items may include at least one of constant-temperature storage, fractionated storage, and resampling; when combined disturbance is dominant, multiple items from the above water sample treatment items can be determined based on combinations of multiple dominant parameter categories.

[0208] By jointly determining the water sample treatment intensity and treatment items based on risk level and disturbance dominance type, the water sample treatment method can be matched with the actual disturbance performance during the formal sampling process.

[0209] The water sample treatment intensity in step 601 is derived from the water sample disturbance risk level, and the water sample treatment item is derived from the disturbance dominance type. Both serve as inputs for generating dynamic treatment parameters in step 602.

[0210] Step 602: Generate dynamic processing parameters based on water sample treatment intensity and water sample treatment items, and form a water sample treatment method from the water sample treatment items and dynamic processing parameters.

[0211] After determining the water sample treatment intensity and treatment items, dynamic treatment parameters are generated based on these parameters. These dynamic treatment parameters include settling time, filtration level, storage temperature, number of vials, stabilizer type, stabilizer dosage, and verification sampling trigger conditions. These dynamic treatment parameters describe the execution conditions of specific treatment actions.

[0212] The dynamic processing parameters can be described using the following processing parameter characterization formula:

[0213]

[0214] in, Indicates the serial number of the water sample treatment project; Indicates the first Quantitative characterization values ​​of dynamic treatment parameters corresponding to each water sample treatment project;

[0215] A quantitative characterization value representing the risk level of water sample disturbance;

[0216] This represents the quantitative characterization value of the parameter perturbation contribution result corresponding to the dominant parameter category; Indicates the category number of the dominant parameter;

[0217] Indicates the first Quantitative characterization values ​​of the basic treatment status of a water sample treatment project;

[0218] , , These represent the water sample disturbance risk level, dominant parameter category, and basic treatment status, respectively, affecting the first... The influence weight of dynamic processing parameters corresponding to each water sample treatment project.

[0219] The dynamic processing parameters are not fixed but are determined by the water sample treatment intensity and the specific water sample treatment items. In one specific implementation, when particle resuspension is dominant and the risk level of water sample disturbance is high, the dynamic processing parameters can increase the settling time or filtration level; when dissolved oxygen disturbance is dominant, the dynamic processing parameters can adjust the storage temperature, the number of vials, or the triggering conditions for resampling; when redox disturbance is dominant, the dynamic processing parameters can adjust the stabilizer type, stabilizer dosage, storage temperature, or the number of vials; when thermosalinous stratification disturbance is dominant, the dynamic processing parameters can adjust the storage temperature, the number of vials, or the triggering conditions for resampling.

[0220] A water sample treatment method is formed by the water sample treatment items and dynamic treatment parameters. The water sample treatment method includes the treatment items to be performed and the corresponding dynamic treatment parameters for each treatment item.

[0221] The dynamic processing parameters generated in step 602, together with the water sample processing project, form the water sample processing method, and are used in step 603 to guide the specific processing actions for obtaining water samples through formal sampling.

[0222] Step 603: Perform dynamic processing on the water samples obtained from formal sampling according to the water sample processing method.

[0223] After establishing the water sample treatment plan, dynamic processing is performed on the water samples obtained from formal sampling in accordance with the plan. Dynamic processing refers to the targeted treatment of the water samples obtained from formal sampling based on the treatment method determined according to the water sample disturbance risk level and the dominant disturbance type.

[0224] In one specific implementation, when the water sample treatment project includes settling, the water sample is settling for the specified duration, and then the water sample is taken as required after settling; when the water sample treatment project includes filtration, the water sample is filtered according to the filtration level; when the water sample treatment project includes light-protected storage or constant-temperature storage, the water sample storage process is controlled according to the corresponding storage requirements and storage temperature; when the water sample treatment project includes bottle-based storage, the water sample is bottle-based according to the number of bottles; when the water sample treatment project includes stabilizer addition, the addition operation is performed according to the stabilizer type and stabilizer addition amount; when the water sample treatment project includes verification sampling, whether to perform verification sampling is determined according to the verification sampling trigger conditions.

[0225] The purpose of dynamic processing is to reduce the adverse effects of sampling disturbances on the interpretation of subsequent test results and to improve the correspondence between the water sample processing process and the on-site sampling disturbance state.

[0226] The dynamic processing action performed in step 603 corresponds one-to-one with the dynamic processing parameters determined in step 602, and the execution result serves as the basis for generating the water sample processing record in step 604.

[0227] Step 604: Generate a water sample treatment record that includes the water sample disturbance risk level, disturbance dominance type, water sample treatment items, and dynamic treatment parameters.

[0228] After completing the dynamic processing of the water samples, a water sample processing record is generated. The water sample processing record includes at least the water sample disturbance risk level, the dominant disturbance type, the water sample processing items, and the dynamic processing parameters. The water sample disturbance risk level describes the degree of risk of disturbance to the water sample obtained from formal sampling; the dominant disturbance type describes which type of water quality parameter change or disturbance behavior mainly dominates the disturbance; the water sample processing items describe which processing actions from the dynamic processing parameters were performed on the water sample; and the dynamic processing parameters describe the specific execution conditions in the following categories: settling time, filtration level, storage temperature, number of vials, stabilizer type, stabilizer dosage, and verification sampling trigger conditions.

[0229] Water sample processing records can be associated and saved with target sampling point information, first transient response data, sampling disturbance response fingerprint, sensitivity type, initial sampling parameters, second transient response data, and response deviation status. Through this record, subsequent testing personnel can trace the basis for water sample processing, interpret potential disturbance effects in the test results, and provide a reference for subsequent sampling at the same target sampling point.

[0230] The water sample processing record generated in step 604 forms a closed-loop record relationship with the aforementioned water sample disturbance risk level, disturbance dominant type, water sample processing items, and dynamic processing parameters. This is used for subsequent interpretation of test results, traceability of sampling quality, and optimization of subsequent sampling parameters for the same target sampling point.

[0231] Reference Figure 2 , Figure 2 This is a schematic diagram of the system provided by the present invention. The system includes:

[0232] The first transient response data generation module 210 is used to apply micro-perturbation to the target sampling point, collect the first water body disturbance information after micro-perturbation, and generate the first transient response data.

[0233] The sampling disturbance response fingerprint generation module 220 is used to extract response feature information from the first transient response data and generate a sampling disturbance response fingerprint according to the water quality parameter category and disturbance performance category.

[0234] The second transient response data generation module 230 is used to obtain the sensitive type corresponding to the target sampling point based on the sampling disturbance response fingerprint matching sensitive type template, determine the initial sampling parameters based on the sensitive type, and perform formal sampling according to the initial sampling parameters to collect the second water body disturbance information in the formal sampling and generate the second transient response data.

[0235] The response deviation state generation module 240 is used to form a reference perturbation response state from the sampled perturbation response fingerprint, form an actual perturbation response state from the second transient response data, and compare the reference perturbation response state and the actual perturbation response state to obtain the response deviation state.

[0236] The risk and dominant type generation module 250 is used to determine the sampling action disturbance information based on the response deviation state and the initial sampling parameters, and to determine the water sample disturbance risk level and disturbance dominant type based on the sampling action disturbance information and the second transient response data.

[0237] The water sample processing module 260 is used to determine the water sample processing method according to the water sample disturbance risk level and the disturbance dominance type, and process the water sample obtained from formal sampling according to the water sample processing method.

[0238] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0239] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0240] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for water quality collection and treatment for environmental monitoring, characterized in that, Includes the following steps: A micro-perturbation is applied to the target sampling point, and the first water body disturbance information after the micro-perturbation is collected to generate the first transient response data; Response feature information is extracted from the first transient response data, and a sampling disturbance response fingerprint is generated based on the water quality parameter category and disturbance performance category; Based on the sampling disturbance response fingerprint matching sensitive type template, the sensitive type corresponding to the target sampling point is obtained. The initial sampling parameters are determined based on the sensitive type, and formal sampling is performed according to the initial sampling parameters. The second water body disturbance information in the formal sampling is collected, and the second transient response data is generated. A baseline perturbation response state is formed from the sampled perturbation response fingerprint, and an actual perturbation response state is formed from the second transient response data. The baseline perturbation response state and the actual perturbation response state are compared to obtain the response deviation state. Based on the response deviation state and the initial sampling parameters, the sampling action disturbance information is determined, and based on the sampling action disturbance information and the second transient response data, the water sample disturbance risk level and disturbance dominance type are determined; The water sample treatment method is determined based on the water sample disturbance risk level and the dominant disturbance type, and the water sample obtained from formal sampling is treated according to the water sample treatment method.

2. The water quality collection and treatment method for environmental monitoring according to claim 1, characterized in that, The generation of the first transient response data includes: The sampling state of the target sampling point is obtained, and the sampling state is combined and matched to obtain the micro-perturbation execution mode. A micro-perturbation is applied to the target sampling point according to the micro-perturbation execution method, and the first water body disturbance information after micro-perturbation is collected. Based on the first water body disturbance information, time stamping and parameter category marking are performed to obtain the first transient response data.

3. The water quality collection and treatment method for environmental monitoring according to claim 2, characterized in that, The generated sampling perturbation response fingerprint includes: The response amplitude features, response sequence features, response duration features, response recovery features, and response stability features are extracted from the first transient response data to obtain response feature information. The response feature information is collected based on the water quality parameter category to obtain the parameter category response feature, and the parameter category response feature is identified based on the disturbance performance category to obtain the disturbance performance identification result; The parameter category response features and the disturbance performance identification results are combined to generate the sampled disturbance response fingerprint.

4. The water quality collection and treatment method for environmental monitoring according to claim 3, characterized in that, The process of obtaining the sensitive type corresponding to the target sampling point by matching the sensitive type template based on the sampling perturbation response fingerprint includes: Obtain the sensitive type template, which includes a sensitive type identifier and perturbation behavior conditions; The perturbation behavior identifier in the sampled perturbation response fingerprint is compared with the perturbation behavior condition to obtain the template matching result; Read the corresponding sensitive type identifier according to the template matching result to obtain the sensitive type corresponding to the target sampling point; The sensitivity types include particle resuspension sensitivity type, dissolved oxygen disturbance sensitivity type, redox disturbance sensitivity type, and thermosalinity stratification disturbance sensitivity type.

5. A method for water quality collection and treatment for environmental monitoring according to claim 4, characterized in that, The process of determining initial sampling parameters based on the sensitivity type, performing formal sampling according to the initial sampling parameters, collecting second water body disturbance information in the formal sampling, and generating second transient response data includes: The sampling configuration item associated with the sensitivity type is invoked, the sampling configuration parameters are read from the sampling configuration item, and the sampling configuration parameters are combined to obtain the initial sampling parameters; The sampling device is adjusted according to the initial sampling parameters, and formal sampling is performed after the sampling device meets the initial sampling parameters. Collect the disturbance information of the second water body during formal sampling, and time-stamp and parameter category-stamp the disturbance information of the second water body to generate the second transient response data.

6. The water quality collection and treatment method for environmental monitoring according to claim 5, characterized in that, The process involves forming a baseline perturbation response state from the sampled perturbation response fingerprint, forming an actual perturbation response state from the second transient response data, and comparing the baseline perturbation response state with the actual perturbation response state to obtain the response deviation state, including: The parameter category response features and disturbance behavior identification results in the sampled disturbance response fingerprint are analyzed to form the baseline disturbance response state of the target sampling point under micro-disturbance; Extract parameter category change features under formal sampling from the second transient response data to form the actual disturbance response state of the target sampling point under formal sampling; The reference disturbance response state and the actual disturbance response state are compared under the corresponding parameter categories to obtain the response deviation state, which includes deviation direction, deviation magnitude, deviation duration, and deviation recovery state.

7. A method for water quality collection and treatment for environmental monitoring according to claim 6, characterized in that, Determining sampling action perturbation information based on the response deviation state and the initial sampling parameters includes: The deviation direction, deviation magnitude, deviation duration, and deviation recovery state in the response deviation state are collected to obtain the perturbation change performance of the formal sample relative to the micro-perturbation; By correlating the disturbance change with the initial sampling parameters, we can obtain the source of the sampling action disturbance, the manifestation of the sampling action disturbance, and the impact of the sampling action disturbance. The sampling action disturbance source, sampling action disturbance manifestation, and sampling action disturbance impact are combined to form the sampling action disturbance information.

8. A method for water quality collection and treatment for environmental monitoring according to claim 7, characterized in that, The water sample disturbance risk level and disturbance dominance type are determined based on the sampling action disturbance information and the second transient response data, including: The risk level of the water sample disturbance information is obtained by assigning a risk level label to the disturbance information of the sampling action. The second transient response data is categorized into parameter categories, and the correspondence between the categorized parameter category change characteristics and the sampling action disturbance information is constructed to obtain the parameter disturbance contribution result. The dominant parameter category is selected based on the perturbation contribution results of the parameters, and the perturbation dominant type is generated from the dominant parameter category.

9. A method for water quality collection and treatment for environmental monitoring according to claim 8, characterized in that, Determining the water sample treatment method based on the water sample disturbance risk level and the dominant disturbance type includes: The water sample treatment intensity is determined based on the water sample disturbance risk level, and the water sample treatment items are determined based on the dominant disturbance type. Dynamic processing parameters are generated based on the water sample treatment intensity and the water sample treatment items, and the water sample treatment method is formed by the water sample treatment items and the dynamic processing parameters. The water samples obtained from formal sampling are dynamically processed according to the water sample processing method described above, and a water sample processing record is generated, including the water sample disturbance risk level, the disturbance dominance type, the water sample processing items, and the dynamic processing parameters.

10. A water quality acquisition and treatment system for environmental monitoring, characterized in that, The system for implementing the water quality collection and treatment method for environmental monitoring according to any one of claims 1 to 9 comprises: The first transient response data generation module is used to apply micro-perturbation to the target sampling point, collect the first water body disturbance information after micro-perturbation, and generate the first transient response data. The sampling disturbance response fingerprint generation module is used to extract response feature information from the first transient response data and generate a sampling disturbance response fingerprint based on the water quality parameter category and the disturbance performance category. The second transient response data generation module is used to obtain the sensitive type corresponding to the target sampling point based on the sampling disturbance response fingerprint matching sensitive type template, determine the initial sampling parameters based on the sensitive type, and perform formal sampling according to the initial sampling parameters to collect the second water body disturbance information in the formal sampling and generate the second transient response data. The response deviation state generation module is used to form a reference perturbation response state from the sampled perturbation response fingerprint, form an actual perturbation response state from the second transient response data, and compare the reference perturbation response state and the actual perturbation response state to obtain the response deviation state. The risk and dominant type generation module is used to determine the sampling action disturbance information based on the response deviation state and the initial sampling parameters, and to determine the water sample disturbance risk level and disturbance dominant type based on the sampling action disturbance information and the second transient response data; The water sample processing module is used to determine the water sample processing method based on the water sample disturbance risk level and the dominant disturbance type, and to process the water sample obtained from formal sampling according to the water sample processing method.

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