Underground water environment monitoring data auditing method

Abstract

The invention relates to a groundwater environment monitoring data auditing method which comprises the following steps: performing primary auditing: when the target compound concentration of a VOCs target blank sample in a target batch of water samples in a first water sample set is not less than a concentration threshold value corresponding to the target compound concentration, determining that the VOCs target blank sample is unqualified, and when the target compound concentration is not less than a concentration threshold value corresponding to the target compound concentration, determining that the VOCs target blank sample is unqualified; generating a first-level auditing result of the underground water environment monitoring data of the water samples of the point positions corresponding to the VOCs target blank samples in the first underground water environment monitoring data set corresponding to the first water sample set, wherein the first-level auditing result indicates that the underground water environment monitoring data is unqualified; and when the value of the target heavy metal index in the heavy metal target blank sample in the target batch of water samples does not meet any one of a plurality of conditions, determining that the heavy metal target blank sample is unqualified. And generating a first-level auditing result of the groundwater environment monitoring data of each water sample in the target batch of water samples, wherein the first-level auditing result indicates that the groundwater environment monitoring data is unqualified.

Description

Technical Field

[0001] This application belongs to the field of groundwater pollution monitoring technology, specifically relating to groundwater environmental monitoring data verification methods. Background Technology

[0002] Groundwater environmental monitoring data forms the basis for groundwater pollution monitoring, which includes groundwater environmental monitoring itself. Currently, the verification of groundwater environmental monitoring data is done manually by relevant personnel, resulting in low efficiency. Therefore, improving the efficiency of groundwater environmental monitoring data verification is a technical problem that needs to be solved. Summary of the Invention

[0003] This application provides a method for reviewing groundwater environmental monitoring data, which addresses the problem of how to improve the efficiency of reviewing groundwater environmental monitoring data in related technologies.

[0004] This invention provides a method for verifying groundwater environmental monitoring data, the method comprising: A Level 1 review is conducted, which includes: When the concentration of the target compound in the VOCs target blank sample of the target batch of water samples in the first water sample set is not less than the concentration threshold corresponding to the target compound concentration, the VOCs target blank sample is determined to be unqualified, and groundwater environmental monitoring data of each first water sample or groundwater environmental monitoring data of the target batch of water samples corresponding to the VOCs target blank sample in the first groundwater environmental monitoring dataset is generated, indicating that the groundwater environmental monitoring data is unqualified. The target batch of water samples is any batch of water samples in the first water sample set, and the VOCs target blank sample is any one of the following: VOCs transport blank sample, VOCs full-process blank sample. The first water sample set corresponds to the first groundwater environmental monitoring dataset, and the first groundwater environmental monitoring dataset includes: groundwater environmental monitoring data of each first water sample in the first water sample set. When the target heavy metal index in the target batch of water samples is equal to the target heavy metal index in the target blank sample. If any one of the multiple conditions is not met, the heavy metal target blank sample is determined to be unqualified, and groundwater environmental monitoring data of each first water sample or groundwater environmental monitoring data of the target batch of water samples at the point corresponding to the heavy metal target blank sample in the first groundwater environmental monitoring dataset is generated, indicating that the groundwater environmental monitoring data is unqualified. The heavy metal target blank sample is any one of the following: heavy metal transportation blank sample, heavy metal full-process blank sample.

[0005] Beneficial effects: The method provided in this application embodiment can automatically perform multiple levels of review on groundwater environmental data, such as first-level review, second-level review, and third-level review, thereby improving review efficiency.

[0006] The method provided in this application embodiment can combine historical monitoring data, regional topography, land use, groundwater runoff conditions, surrounding environment, groundwater level fluctuations, pollution source distribution, pollutant migration patterns, etc., to review groundwater environmental data from the perspectives of data representativeness and logical rationality, thereby improving the accuracy of groundwater environmental data review.

[0007] The method provided in this application takes into account that groundwater, due to long-term water-rock interaction with its surrounding rocks, experiences increased levels of chloride, sulfate, sodium, and other indicators through leaching (except in areas with rapid runoff), resulting in higher TDS levels. For example, if the comprehensive indicators and macro-components such as TDS, sulfate, and sodium in groundwater located in a discharge zone are too low, or even undetectable, the corresponding groundwater environmental data is questionable. This method comprehensively considers factors affecting the accuracy of groundwater environmental data review results, thereby improving the accuracy of groundwater environmental data review.

[0008] The method provided in this application takes into account that: due to long-term water-rock interaction, groundwater exhibits increased levels of chloride, sulfate, sodium, and other indicators through dissolution and filtration (except in areas with rapid runoff), resulting in higher TDS levels. If the comprehensive indicators and macro-components such as TDS, sulfate, and sodium in groundwater located in the discharge zone are too low, or even undetectable, the groundwater environmental data is questionable. This method comprehensively considers factors affecting the accuracy of groundwater environmental data review results, thereby improving the accuracy of groundwater environmental data review.

[0009] The method provided in this application's embodiments considers the logical relationships between relevant indicators. Specifically, it considers: ① In reducing environments such as black soil with high organic matter content and coastal areas with marine sediments, after desulfurization and denitrification, the contents of ammonia nitrogen, sulfides, and iron in groundwater may be high, while the contents of dissolved oxygen, redox potential, and nitrates may be relatively low. Sulfide and nitrate contents are negatively correlated; if both of these indicators are in category V, the data is questionable. ② Ammonia nitrogen can promote the reduction and dissolution of arsenic-containing iron oxide, and the contents of arsenic and ammonia nitrogen in groundwater are positively correlated. ③ Considering chemical precipitation, when the concentration of sulfides in groundwater is high, the contents of heavy metals such as lead, zinc, and cadmium are usually relatively low. ④ The logical relationship between total and component amounts, such as whether the relationship between total nitrogen and ammonia nitrogen, and between total chromium and hexavalent chromium, is reasonable. This method comprehensively considers factors affecting the accuracy of groundwater environmental data review results, improving the accuracy of groundwater environmental data review.

[0010] The method provided in this application takes into account the following: ① Based on groundwater dynamics, the groundwater in the upper reaches of alluvial fans is at a great depth and has a steep topographic slope. The sediments are mainly coarse particles such as pebbles and gravel, with good recharge and runoff conditions, fast groundwater flow velocity, and generally low turbidity. The groundwater chemical type is mostly HCO3-Ca type, while the overflow zone of the transition zone is mainly SO4-Mg•Ca type. The groundwater runoff in the downstream vertical alternation zone is slow, and chemically stable soluble elements such as chloride and sodium are easily enriched here. In addition, the groundwater in this area is shallow, and the evaporation and concentration are strong, resulting in increased salinity. The groundwater chemical type is mainly Cl-Na type. If the monitoring results of a large number of points do not conform to the above spatial distribution pattern, the data is questionable. ② Groundwater in areas with greater human impact, such as vegetable fields, livestock farms, farmland, and landfills, is easily affected by the combined effects of crop planting, landfill leachate diffusion, and irrigation water recharge. The content of nitrates, ammonia nitrogen, and heavy metals in the water may be relatively high. ③ Confined aquifers participate in the water cycle more slowly than unconfined aquifers, resulting in relatively smaller fluctuations in water quality. When the overlying vadose zone has good permeability and the groundwater depth is shallow, pollutants easily migrate downwards to the aquifer under gravity, causing pollutant levels in the groundwater to exceed standards. Therefore, unconfined aquifers are more susceptible to pollution. This study comprehensively considers factors affecting the accuracy of groundwater environmental data review results, thereby improving the accuracy of groundwater environmental data review. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of this specification or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the embodiments of this specification. For those skilled in the art, other drawings can be obtained based on these drawings.

[0012] Figure 1 This is a flowchart of an example of the method provided in this application. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. It should be noted that, unless otherwise specified, the implementation methods and features in the implementation methods in this disclosure can be combined, separated, interchanged, and / or rearranged. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0014] The terminology used herein is for the purpose of describing particular embodiments and is not intended to be limiting. As used herein, unless the context clearly indicates otherwise, the singular forms “a” and “the” are intended to include the plural forms as well. Furthermore, when the terms “comprising” and / or “including” and variations thereof are used in this specification, it indicates the presence of the stated features, integrals, steps, operations, parts, components, and / or groups thereof, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, parts, components, and / or groups thereof. It should also be noted that, as used herein, the terms “substantially,” “about,” and other similar terms are used as approximate terms rather than as terms of degree, thus explaining the inherent biases in measurements, calculated values, and / or provided values ​​that would be recognized by one of ordinary skill in the art.

[0015] The method provided in this application, in terms of monitoring timeframe, can obtain at least two consecutive historical monitoring results, which can be used for year-on-year and month-on-month comparisons of data; in terms of monitoring indicators, it should cover at least eight macro-components in groundwater, such as sodium, magnesium, chloride, and sulfate, as well as comprehensive indicators such as total dissolved solids (TDS) and total hardness, and field indicators such as pH, redox potential, dissolved oxygen, conductivity, and turbidity, which can be used for water chemical balance verification; in terms of monitoring points, there should be as many points as possible to support the analysis of spatial variation patterns of water chemical components.

[0016] It should be noted that groundwater environmental monitoring data can only be stored if sample collection, analysis and testing, and data review all pass. The data review process should assess data representativeness, accuracy, logic, and rationality. The first level of review aims to verify the compliance of sampling and testing procedures, ensuring data representativeness and accuracy. For example, transport blanks and full-procedure blanks are used to verify whether the sampling and transportation process was contaminated; parallel sample comparison tests within / between laboratories are used to verify the representativeness and uniformity of sample collection, as well as the accuracy of testing procedures; water chemical balance review assesses sample representativeness from the perspective of groundwater formation type and water-rock interaction. The second level of review focuses on temporal evolution, comparing data with historical data to identify anomalies and indicators, ensuring data rationality. The third level of review focuses on spatial evolution, combining regional background conditions, hydrogeological conditions, and pollution source distribution to analyze the correlation between concentrations at each location and the surrounding environment, ensuring data logic. In general, each level of review has its own emphasis and is progressively layered; they should be conducted sequentially.

[0017] refer to Figure 1 The diagram shows a flowchart of an example of the method provided in this application.

[0018] In this embodiment, the groundwater environmental monitoring data includes values ​​for eight macro-components in the groundwater, such as sodium, magnesium, chloride, and sulfate. The groundwater environmental monitoring data also includes values ​​for comprehensive indicators such as total dissolved solids (TDS) and total hardness. Furthermore, the groundwater environmental monitoring data includes pH, redox potential, dissolved oxygen, conductivity, and turbidity. Finally, the groundwater environmental monitoring data includes the concentrations of common anions and cations in the water.

[0019] The method provided in this application includes: The first-level review includes: when the concentration of the target compound in the VOCs target blank sample of the target batch of water samples in the first water sample set is not less than the concentration threshold corresponding to the target compound concentration, the VOCs target blank sample is determined to be unqualified; and a first-level review result indicating that the groundwater environmental monitoring data is unqualified is generated for each first water sample or the groundwater environmental monitoring data of the target batch of water samples at the point corresponding to the VOCs target blank sample in the first groundwater environmental monitoring dataset. The target batch of water samples is any batch of water samples in the first water sample set, and the VOCs target blank sample is any one of the following: VOCs transport blank sample, VOCs full-process blank sample, and the first water sample set. The first groundwater environmental monitoring dataset includes: groundwater environmental monitoring data for each first water sample in the first water sample set; when the value of the target heavy metal index in the target blank sample of the target batch of water samples does not meet any of the multiple conditions, the target blank sample of heavy metals is determined to be unqualified, and a first-level review result indicating that the groundwater environmental monitoring data is unqualified is generated for each first water sample or groundwater environmental monitoring data of the target batch of water samples corresponding to the target blank sample of heavy metals in the first groundwater environmental monitoring dataset. The target blank sample of heavy metals is any one of the following: heavy metal transportation blank sample, heavy metal full-process blank sample.

[0020] In this embodiment of the application, for a blank sample and a location, if the blank sample is collected at the location, then the location is the location corresponding to the blank sample.

[0021] Given a first water sample and a location, if the first water sample is collected at the location, then the first water sample is the first water sample at that location, and the location is the location corresponding to the first water sample.

[0022] Among them, generating groundwater environmental monitoring data for each first water sample at the location corresponding to the VOCs target blank sample in the first groundwater environmental monitoring dataset, or groundwater environmental monitoring data for the target batch of water samples, and indicating that the groundwater environmental monitoring data is unqualified, refers to generating one of the following: generating groundwater environmental monitoring data for each first water sample at the location corresponding to the VOCs target blank sample in the first groundwater environmental monitoring dataset, or generating groundwater environmental monitoring data for the target batch of water samples in the first groundwater environmental monitoring dataset, indicating that the groundwater environmental monitoring data is unqualified.

[0023] The groundwater environmental monitoring data for the target batch of water samples includes: groundwater environmental monitoring data for each first water sample in the target batch of water samples.

[0024] If the VOCs target blank sample is a VOCs full-process blank sample, and the VOCs target blank sample is unqualified, then the groundwater environmental monitoring data of each first water sample at the point corresponding to the VOCs target blank sample in the first groundwater environmental monitoring dataset will be generated as a first-level audit result indicating that the groundwater environmental monitoring data is unqualified.

[0025] If the VOCs target blank sample is a VOCs transport blank sample, and the VOCs target blank sample is unqualified, then a first-level audit result indicating that the groundwater environmental monitoring data of the target batch of water samples in the first groundwater environmental monitoring dataset is unqualified is generated.

[0026] Among them, generating groundwater environmental monitoring data for each first water sample or groundwater environmental monitoring data for the target batch of water samples corresponding to the heavy metal target blank sample in the first groundwater environmental monitoring dataset, and indicating that the groundwater environmental monitoring data is unqualified, refers to generating one of the following: generating groundwater environmental monitoring data for each first water sample corresponding to the heavy metal target blank sample in the first groundwater environmental monitoring dataset, and generating groundwater environmental monitoring data for the target batch of water samples in the first groundwater environmental monitoring dataset, indicating that the groundwater environmental monitoring data is unqualified.

[0027] If the heavy metal target blank sample is a heavy metal full-process blank sample, and the heavy metal target blank sample is unqualified, then the groundwater environmental monitoring data of each first water sample at the point corresponding to the heavy metal target blank sample in the first groundwater environmental monitoring dataset will be generated as a first-level audit result indicating that the groundwater environmental monitoring data is unqualified.

[0028] If the target blank sample for heavy metals is a blank sample for heavy metal transportation, and the target blank sample for heavy metals is unqualified, then the groundwater environmental monitoring data of the target batch of water samples in the first groundwater environmental monitoring dataset will be generated as a first-level audit result indicating that the groundwater environmental monitoring data is unqualified.

[0029] It should be noted that the target compound concentration can be any pre-set compound concentration for a blank sample containing volatile organic compounds (VOCs). The target heavy metal index can be any pre-set heavy metal index for a target blank sample containing heavy metals.

[0030] As an example, for volatile organic compounds (VOCs) and heavy metals, at least one transport blank and one full-procedure blank sample should be collected for each batch of samples.

[0031] As an example, for VOCs samples, the concentration of the target compound in the blank sample, i.e., the concentration of the target compound in the VOCs target blank sample, should be less than the maximum value among the following criteria: ① method detection limit, ② Class I standard limit of the "Groundwater Quality Standard" (GB / T 14848—2017), ③ 5% of the sample analysis result, and ④ lower limit of laboratory determination. In other words, the concentration of the target compound in the VOCs target blank sample should be less than the maximum value of the following conditions: ① method detection limit; ② Class I standard limit of the "Groundwater Quality Standard" (GB / T 14848—2017); ③ 5% of the sample analysis result; and ④ lower limit of laboratory determination. The maximum value among these criteria can be used as the concentration threshold corresponding to the target compound concentration. Each of the above criteria can specifically refer to the criteria for the target compound concentration.

[0032] As an example, for heavy metal samples, the blank value—the value of the target heavy metal index in the target blank sample of the target batch of water samples—is considered acceptable only if it meets one of the following conditions: ① below the method detection limit; ② below the Class I standard limit of the "Groundwater Quality Standard" (GB / T 14848—2017); ③ below 10% of the lowest measured value of each batch of samples; ④ below the laboratory detection limit. If the blank test does not meet the above requirements, the blank test result is deemed unqualified. In other words, if the heavy metal target blank sample does not meet any of the following conditions, it is determined to be unqualified: ① below the method detection limit; ② below the Class I standard limit of the "Groundwater Quality Standard" (GB / T 14848—2017); ③ below 10% of the lowest measured value of each batch of samples; ④ below the laboratory detection limit. If the value of the target heavy metal index in the target blank sample of the target batch of water samples does not meet one of the above conditions, the heavy metal target blank sample can be determined to be unqualified. Each of the above conditions specifically refers to the value of the target heavy metal index.

[0033] As an example, if the blank test result of the whole process is deemed unqualified, measures need to be taken to eliminate the contamination, and the corresponding VOCs or heavy metal index at that point needs to be resampled and retested; if the blank test result of the transportation is deemed unqualified, the corresponding VOCs or heavy metal index of the transportation batch sample needs to be resampled and retested.

[0034] In one possible implementation, the first-level audit further includes: performing parallel sample comparison tests on each parallel sample combination in the first water sample set, wherein the target parallel sample combination is any parallel sample combination in the first water sample set, and the target parallel sample combination includes: multiple parallel samples from the points corresponding to the target parallel sample combination in the first water sample set; performing parallel sample comparison tests on the target parallel sample combination includes: calculating the intra-laboratory relative deviation based on the detection values ​​of the parallel samples from the target parallel sample combination obtained from each analytical testing unit, and when it is determined that the intra-laboratory parallel sample comparison test is unqualified based on the intra-laboratory relative deviation, generating a first-level audit result indicating that the groundwater environmental monitoring data of each first water sample at the point corresponding to the target parallel sample combination in the first groundwater environmental monitoring dataset is unqualified. Based on the test values ​​of parallel samples from the target parallel sample combination obtained from each analytical testing unit and the test values ​​of parallel samples from the target parallel sample combination obtained from each external quality control unit, the inter-laboratory relative deviation is calculated. When the inter-laboratory parallel sample comparison test is determined to be unqualified based on the inter-laboratory relative deviation, a first-level audit result indicating that the groundwater environmental monitoring data of each first water sample at the point corresponding to the target parallel sample combination in the first groundwater environmental monitoring dataset is generated, indicating that the groundwater environmental monitoring data is unqualified.

[0035] In this context, parallel samples are water samples, and parallel samples are equivalent to parallel water samples. For a set of parallel samples and a location, each parallel sample in the set is collected at that location, which is the location corresponding to the set of parallel samples.

[0036] As an example, for each batch of water samples, at least 10% of the locations are selected to collect parallel samples, i.e., parallel samples.

[0037] In one possible implementation, four parallel samples are collected at each location. These four parallel samples from one location form a parallel sample set in the first water sample collection. The parallel sample sets are then sent in coded form to analytical testing unit A (2 samples), external quality control unit D (1 sample), and external quality control unit E (1 sample) respectively for intra-laboratory / inter-laboratory parallel sample comparison testing to assess the stability of the analytical testing process and the comparability between laboratories. Intra-laboratory parallel comparison indicators include all monitoring indicators. Inter-laboratory parallel comparison indicators can be flexibly selected based on sample preservation time, indicator category, analytical testing method principle, and historical questionable indicator statistics, generally no fewer than 20 items, covering different types of inorganic, heavy metal, and organic indicators.

[0038] In this embodiment of the application, the relative deviation result can be calculated according to formulas (1)-(4). If the result is within the precision requirement range of each corresponding analytical test method, the comparison test is deemed qualified; otherwise, it is deemed unqualified. Parallel sample comparison and judgment within the laboratory should be carried out first, followed by parallel sample comparison and judgment between laboratories.

[0039] (1) (2) (3) (4) RD1 represents the intra-laboratory relative deviation, while RD2, RD3, and RD4 represent the inter-laboratory relative deviation, all representing % (%). b and c are detection values ​​from two parallel samples belonging to the target parallel sample combination, respectively, from the analysis and testing unit. The arithmetic mean of c, d, and e; d and e are the test values ​​of two parallel samples belonging to the target parallel sample combination from two external quality control units, respectively; f is the arithmetic mean of c, d, and e. Furthermore, if If values ​​of a, b, d, and e are below the laboratory detection limit, they can also be calculated as half of the laboratory detection limit. Replace b, d, and e with half of the laboratory detection limit to calculate the relative deviation.

[0040] As an example, when the calculated intra-laboratory relative deviation is greater than the intra-laboratory relative deviation threshold, it can be determined that the intra-laboratory parallel sample comparison test is unqualified.

[0041] As an example, when at least one of the calculated interlaboratory relative deviations is greater than the interlaboratory relative deviation threshold, the interlaboratory parallel sample comparison test can be determined to be unqualified.

[0042] As an example, if parallel samples within the laboratory fail to meet the standard, the corresponding non-compliant indicators need to be resampled and retested. If parallel samples within the laboratory meet the standard but inter-laboratory comparisons fail, and a comprehensive assessment determines that the deviation in the monitoring results from the analytical testing unit is too large, then the relevant non-compliant indicators should be resampled and retested.

[0043] In one possible implementation, the first-level review further includes: performing a multi-dimensional review on each first water sample in the first water sample set, where the target first water sample is any one of the first water samples in the first water sample set. The multi-dimensional review of the target first water sample includes: performing anion-cation balance testing on the target first water sample. The anion-cation balance testing includes: when the sum of the molar concentrations of anions and cations in the target first water sample is greater than a total concentration threshold and the relative deviation between the molar concentrations of anions and cations in the target first water sample is not within a first range, generating a first-level review result indicating that the groundwater environmental monitoring data of the target first water sample is unqualified; when the anion-cation balance is greater than a total concentration threshold and the relative deviation between the molar concentrations of anions and cations in the target first water sample is not within a first range, the review results indicate that the groundwater environmental monitoring data of the target first water sample is unqualified. When the sum of the molar concentrations of the ions is less than the total concentration threshold and the relative deviation is not greater than the second range of the first range, the groundwater environmental monitoring data of the target first water sample is generated as a first-level review result indicating that the groundwater environmental monitoring data is unqualified; when the pH value of the target first water sample is greater than the pH threshold and free CO2 is detected in the target first water sample, and the groundwater environmental monitoring data of the target first water sample does not have a first-level review result indicating that the groundwater environmental monitoring data is unqualified, the groundwater environmental monitoring data of the target first water sample is generated as a first-level review result indicating that the groundwater environmental monitoring data is questionable; when the pH value of the target first water sample is less than the pH threshold and CO3 is detected in the target first water sample... 2- When the groundwater environmental monitoring data of the first target water sample does not have a Level 1 review result indicating that the groundwater environmental monitoring data is unqualified, a Level 1 review result indicating that the groundwater environmental monitoring data of the first target water sample is questionable is generated.

[0044] As an example, the pH threshold is 8.34. When the pH value is > 8.34, free CO2 should not be detected; when the pH value is < 8.34, CO3 should not be detected. 2- Detected.

[0045] As an example, the relative deviation between the molar concentrations of anions and cations in the target first water sample can be calculated using the following formulas (5) and (6). R .

[0046] (5) (6) Ci It is an anion i The molar concentration of all anions, including Cl-. - SO4 2- HCO3 - CO3 2- NO3 - F - S 2- NO2 - CN - I - 10 items, mmol / L; C j It is a cation j The molar concentration of all cations, including K+. + Na + Ca 2+ Mg 2 + Fe 2+ Mn 2+ NH4 + 7 items, mmol / L; X i ions i The mass concentration, mg / L; M i ions i The relative molecular weight is dimensionless. Z i ions i The valence of is dimensionless.

[0047] As an example, the first range is ±15%, and the second range is ±20%.

[0048] As an example, when the sum of the concentrations of cations and anions is greater than 5 mmol / L, R should be within ±15%. When the sum of the concentrations of cations and anions is less than 5 mmol / L, R should be within ±20%. The relative error between TDS and total ion concentration should be within ±20%.

[0049] As an example, Ca 2+ Mg 2+ The relative error between the metal content and the total hardness should be within ±10%, and the ratio of TDS to conductivity should be within the range of 0.55 to 0.70.

[0050] In one possible implementation, multi-dimensional review of the target first water sample also includes: When the water chemistry type of the point corresponding to the first target water sample is inconsistent in different monitoring periods and the groundwater environmental monitoring data of the first target water sample does not have a first-level review result indicating that the groundwater environmental monitoring data is unqualified, a first-level review result indicating that the groundwater environmental monitoring data of the first target water sample is questionable is generated.

[0051] It should be noted that the current monitoring period can refer to the monitoring period when the first water sample set was collected. The previous monitoring period can refer to the monitoring period preceding the current monitoring period.

[0052] The different monitoring periods can include the current monitoring period and the previous monitoring period. As an example, the current monitoring period is the high-water season of the year, and the previous monitoring period is the low-water season of the same year.

[0053] In this embodiment of the application, for a point and a water sample, if the water sample is collected at the point, then the water sample is the water sample at that point, and the point is the point corresponding to the water sample.

[0054] For a given location, the hydrochemical type of that location during the corresponding monitoring period can be determined based on the values ​​of the indicators used to determine the hydrochemical type of the water sample collected at that location during the corresponding monitoring period.

[0055] As an example, graphical methods such as polygon diagrams, Piper triline diagrams, and Gibbs diagrams can be used to determine whether the water chemistry type of the point corresponding to the first water sample is consistent at different monitoring periods.

[0056] In the embodiments of this application, it is considered that: under normal circumstances, when the hydrogeological conditions have not changed significantly and there is no significant human pollution, the relative proportions of various macro components in groundwater will be relatively stable only after atmospheric rainfall infiltration and other replenishment, so the water chemistry type is relatively consistent during the wet and dry seasons.

[0057] As an example, for a monitoring point, the hydrochemical type of the point during the current monitoring period (high water season) is HCO3-Ca•Mg type, while the hydrochemical type of the point during the previous monitoring period (dry water season) was Cl-Na type. Since the hydrochemical type of the point during the current monitoring period (high water season) is inconsistent with the hydrochemical type of the point during the previous monitoring period (dry water season), the groundwater environmental monitoring data of the target first water sample at that point is questionable.

[0058] As an example, if the cation-anion balance test fails, it is considered unqualified, and the sample should be resampled and retested for all indicators. If other tests fail, the data is considered questionable and will be subject to further review.

[0059] In one possible implementation, the method further includes: performing a secondary review based on a second water sample set in the first water sample set, wherein the groundwater environmental monitoring data of each second water sample in the second water sample set has a primary review result indicating doubt in the groundwater environmental monitoring data, the second water sample set corresponds to a second groundwater environmental monitoring dataset in the first groundwater environmental monitoring dataset, and the second groundwater environmental monitoring dataset includes: the groundwater environmental monitoring data of each second water sample in the second water sample set; and the secondary review includes: generating a secondary review result indicating doubt in the groundwater environmental monitoring data of each second water sample of the target point when the water quality category of the target point in the current monitoring period is inconsistent with at least one of the sets including the water quality category of the target point in the same monitoring period of the previous year and the water quality category of the target point in the previous monitoring period, and the relative deviation of the target monitoring index of the water sample of the target point exceeds the inter-laboratory allowable range; When the water quality category of the target location is consistent across different monitoring periods, and the difference between the exceedance indicators of the water samples at the target location in different monitoring periods exceeds the exceedance indicator difference threshold, a secondary review result indicating doubt in the groundwater environmental monitoring data of each second water sample at the target location is generated. When the change in the content of the target monitoring indicator of the target second water sample at the target location relative to the content of the target monitoring indicator of the water sample at the target location in the previous monitoring period exceeds the change threshold, a secondary review result indicating doubt in the groundwater environmental monitoring data of each second water sample at the target location is generated. When the content of the target monitoring indicator of the target second water sample at the target location exceeds the groundwater environmental background value for the target monitoring indicator determined by the ecological and environmental department of the region where the target location is located, a secondary review result indicating doubt in the groundwater environmental monitoring data of each second water sample at the target location is generated.

[0060] For a given monitoring point, the water quality category at that point during the corresponding monitoring period can be determined based on the values ​​of the indicators used to determine the water quality category from the water samples collected at that point during the corresponding monitoring period.

[0061] As an example, the groundwater environmental monitoring data of the second water sample, which has passed the first-level review, can be evaluated according to the "Groundwater Quality Standard" (GB / T 14848—2017) and compared with historical monitoring results. This involves comparing the monitoring and evaluation results of the same location at different times.

[0062] In this embodiment of the application, after the first review is completed, a first water sample with a first review result indicating doubt about the groundwater environmental monitoring data can be identified, and the first water sample with a first review result indicating doubt about the groundwater environmental monitoring data can be used as a second water sample.

[0063] In this embodiment of the application, when the water quality category of the target point involved in the second water sample set is inconsistent with at least one of the sets including the water quality category of the target point in the same monitoring period of the previous year and the water quality category of the target point in the previous monitoring period, and the relative deviation of the target monitoring index of the water sample of the target point exceeds the inter-laboratory allowable range requirement, i.e., is not within the inter-laboratory allowable range, a secondary review result indicating doubt about the groundwater environmental monitoring data of each second water sample of the target point is generated.

[0064] This includes the water quality category of the target location in the same monitoring period of the previous year, and the set of water quality categories of the target location in the previous monitoring period, which consists of two water quality categories: the water quality category of the target location in the same monitoring period of the previous year and the water quality category of the target location in the previous monitoring period.

[0065] In other words, by comparing and verifying the data with the same monitoring period of the previous year (year-on-year) and the previous monitoring period (month-on-month), the water quality category changes between Class I-III, Class IV, and Class V, and the relative deviation of the monitoring indicators exceeds the allowable range requirements between laboratories. This allows us to determine the groundwater environmental monitoring data for each second water sample at the target location.

[0066] The target point involved in the second water sample set can be any point involved in the second water sample set.

[0067] The same monitoring period in the previous year can refer to the monitoring period in the year preceding the current year, which belongs to the same period type as the current monitoring period, such as the monitoring period during the high-water season.

[0068] For a given location, if at least one second water sample is collected at that location, then that location is considered part of the second water sample set.

[0069] The current year refers to the year in which the current monitoring period takes place, while the previous year can refer to the year before the current year.

[0070] In this embodiment of the application, the target monitoring indicator can be any pre-set indicator of the water sample used for secondary review.

[0071] As an example, the relative deviation of the target monitoring index of a water sample at a target location can be: the absolute value of the difference between the content of the target monitoring index of the second water sample at the target location used to determine the relative deviation and the content of the target monitoring index of the water sample collected at the target location during the same monitoring period of the previous year used to determine the relative deviation.

[0072] As another example, the relative deviation of the target monitoring index of the water sample at the target location can be: the absolute value of the difference between the content of the target monitoring index of the second water sample at the target location used to determine the relative deviation and the content of the target monitoring index of the water sample collected at the target location in the previous monitoring period used to determine the relative deviation.

[0073] In this embodiment of the application, when the water quality category of the target point is consistent in different monitoring periods and the difference between the exceedance indicators of the water samples of the target point in different monitoring periods is greater than the exceedance indicator difference threshold, a secondary review result indicating that the groundwater environmental monitoring data of each second water sample of the target point is questionable is generated.

[0074] In other words, although the water quality category did not change in different monitoring periods, there were significant differences in the indicators exceeding the standard. For example, if all were Class V, the indicator exceeding the standard during the high water period was sulfate, while during the low water period it was nitrate and cadmium.

[0075] These different monitoring periods can include the current monitoring period and the previous monitoring period.

[0076] As an example, determining the difference in exceedance indicators between water samples at a target location in different monitoring periods can include: identifying a first set of exceedance indicators for water samples at the target location in the current monitoring period, and a second set of exceedance indicators for water samples at the target location in the previous monitoring period. The water samples at the target location in the current monitoring period used to determine the difference can be the second set of water samples at the target location in the current monitoring period. The number of exceedance indicators with differences is determined, and this number is used as the difference in exceedance indicators between water samples at the target location in different monitoring periods. The exceedance indicators with differences are those that appear only in the first or second exceedance indicator set.

[0077] In this embodiment of the application, when the change in the content of the target monitoring index of the target second water sample at the target location relative to the content of the target monitoring index of the water sample at the target location in the previous monitoring period exceeds the change threshold, a secondary review result indicating doubt in the groundwater environmental monitoring data of each second water sample at the target location is generated; when the content of the target monitoring index of the target second water sample at the target location exceeds the groundwater environmental background value for the target monitoring index determined by the ecological and environmental department of the area where the target location is located, a secondary review result indicating doubt in the groundwater environmental monitoring data of each second water sample at the target location is generated.

[0078] The target second water sample at the target location can be any second water sample at the target location.

[0079] The change in the content of the target monitoring index of the second water sample at the target location relative to the content of the target monitoring index of the water sample at the target location in the previous monitoring period can be: the absolute value of the difference between the content of the target monitoring index of the second water sample at the target location and the content of the target monitoring index of the water sample at the target location in the previous monitoring period divided by the content of the target monitoring index of the water sample at the target location in the previous monitoring period.

[0080] The method provided in this application takes into account the following: when there is no obvious human pollution, the content of the same monitoring indicator changes abnormally, such as the current result being more than 30% higher than the previous monitoring value, or exceeding the background value of groundwater environment determined by the local ecological and environmental department.

[0081] In one possible implementation, the secondary review further includes: when the difference in the proportion of the same type of water quality among the statistical units involved in the second water sample set during different monitoring periods is greater than a water quality proportion difference threshold, generating a secondary review result indicating doubt in the groundwater environmental monitoring data of each second water sample at the points within the statistical unit; when the change in the mean or median value of the content of the target monitoring index of the second water sample collected in the statistical unit relative to the mean or median value of the target monitoring index of the water sample collected in the statistical unit during monitoring periods prior to the current monitoring period exceeds a change threshold, generating a secondary review result indicating doubt in the groundwater environmental monitoring data of each second water sample at the points within the statistical unit.

[0082] In other words, if the proportion of Class V water quality or the mean / median value of a certain monitoring indicator changes significantly in different periods within the same statistical unit (administrative region, groundwater resource zone, river basin, etc.), it is preliminarily determined that there is doubt.

[0083] The mean of a target monitoring indicator can refer to the average content of that indicator. The median of a target monitoring indicator can refer to the median content of that indicator.

[0084] As an example, the proportion of the same type of water quality is the proportion of Class V water quality.

[0085] In this embodiment of the application, the statistical unit can be an administrative region, a groundwater resource zone, a watershed, etc.

[0086] For a statistical unit, if at least one second water sample is collected within the statistical unit, then the statistical unit is the statistical unit involved in the second water sample set.

[0087] These different monitoring periods can include the current monitoring period and the previous monitoring period.

[0088] As an example, for a given water quality type and a monitoring period, the proportion of that water quality type in the statistical units involved in the second water sample set during that monitoring period can be: the number of water samples of that water quality type collected by the statistical units involved in the second water sample set during that monitoring period for determining the proportion, divided by the sum of the number of water samples of all water quality types collected by the statistical units involved in the second water sample set during that monitoring period for determining the proportion. Here, the water quality of a particular water quality type is determined based on the value of the index used to determine the type of water quality in the water sample.

[0089] In this embodiment of the application, the difference between the proportions of the same type of water quality in the statistical units involved in the second water sample set during different monitoring periods can be: the absolute value of the difference between the proportions of the same type of water quality in the statistical units involved in the second water sample set during different monitoring periods.

[0090] In one possible implementation, the method further includes: performing a three-level review based on a third water sample set in the second water sample set, wherein the groundwater environmental monitoring data of each third water sample in the third water sample set has a second-level review result indicating that the groundwater environmental monitoring data is questionable; the third water sample set corresponds to a third groundwater environmental monitoring dataset in the second groundwater environmental monitoring dataset; the third groundwater environmental monitoring dataset includes: groundwater environmental monitoring data of each third water sample in the third water sample set; and the three-level review includes: when the content of at least one of the following monitoring indicators of the third water sample collected in the target area within the target area involved in the third water sample set is less than a low threshold, generating a three-level review result indicating that the groundwater environmental monitoring data of the third water sample in the target area is questionable: TDS, sulfate, sodium, macro-components.

[0091] In this application embodiment, the representativeness and logical rationality of the data are reviewed by combining historical monitoring data, regional topography, land use, groundwater runoff conditions, surrounding environment, groundwater level fluctuations, pollution source distribution, and pollutant migration patterns.

[0092] In the embodiments of this application, it is considered that: due to long-term water-rock interaction with its surrounding rocks, groundwater will have increased levels of chloride, sulfate, sodium, and other indicators due to dissolution and filtration (except in areas with rapid runoff), resulting in higher TDS levels. If the comprehensive indicators and macro-components such as TDS, sulfate, and sodium in groundwater located in the discharge zone are too low, or even undetectable, the data is questionable.

[0093] For a given area, if at least one third water sample is collected within that area, then that area is considered part of the third water sample set.

[0094] The type of target area involved in the third water sample set is preset.

[0095] Among them, the groundwater discharge area can be used as the target area for the third water sample set.

[0096] In one possible implementation, the three-level review further includes: when the sulfide content in the target third water sample and the nitrate content in the target third water sample belong to the same type, a three-level review result indicating doubt in the groundwater environmental monitoring data of the target third water sample is generated, wherein the target third water sample is any third water sample in the set of third water samples; when the arsenic content in the target third water sample and the ammonia nitrogen content in the target third water sample are negatively correlated, a three-level review result indicating doubt in the groundwater environmental monitoring data of the target third water sample is generated; when the sulfide concentration in the target third water sample is higher than the sulfide concentration threshold and the content of at least one of the following heavy metals in the target third water sample is not relatively low, a three-level review result indicating doubt in the groundwater environmental monitoring data of the target third water sample is generated.

[0097] The same type can refer to the content type, such as type V.

[0098] Specifically, for a heavy metal in the target third water sample, a relatively low content of the heavy metal can mean that the content of the heavy metal is less than the content of the substance with the highest content in the target third water sample, and the difference between the content of the heavy metal and the content of the substance with the highest content in the target third water sample is greater than the difference threshold.

[0099] In the embodiments of this application, the logical relationships of relevant indicators were considered. These included: ① In reducing environments such as black soil with high organic matter content and coastal areas with marine sediments, after desulfurization and denitrification, the contents of ammonia nitrogen, sulfides, and iron in groundwater may be high, while the contents of dissolved oxygen, redox potential, and nitrates may be relatively low. Sulfide and nitrate contents are negatively correlated; if the contents of both of these indicators are simultaneously classified as Class V, the data is questionable. ② Ammonia nitrogen can promote the reduction and dissolution of arsenic-containing iron oxide; the contents of arsenic and ammonia nitrogen in groundwater are positively correlated. ③ Considering chemical precipitation, when the concentration of sulfides in groundwater is high, the contents of heavy metals such as lead, zinc, and cadmium are usually relatively low. ④ The logical relationships between total amounts and components, such as the relationship between total nitrogen and ammonia nitrogen, and between total chromium and hexavalent chromium, are considered.

[0100] In one possible implementation, the three-level review further includes: when the number of abnormal points exceeding a certain threshold in the third water sample set does not meet the spatial distribution pattern conditions corresponding to the abnormal points, a three-level review result indicating doubt in the groundwater environmental monitoring data of the third water sample at the abnormal points is generated; wherein, the spatial distribution pattern conditions corresponding to the points in the upper alluvial fan apex region are that the chemical type of groundwater in the points in the upper alluvial fan apex region is mainly HCO3-Ca type, the spatial distribution pattern conditions corresponding to the points in the overflow zone of the transition zone are that the chemical type of groundwater in the overflow zone of the transition zone is mainly SO4-Mg•Ca type, and the spatial distribution pattern conditions corresponding to the points in the downstream vertical alternation zone are that the chemical type of groundwater in the downstream vertical alternation zone is mainly Cl-Na type; when the number of abnormal points in the third water sample set exceeds a certain threshold, the spatial distribution pattern conditions corresponding to the third water sample set are not meeting ... When the content of at least one of the following monitoring indicators in a third water sample collected in a pre-defined area with significant human activity impact is relatively low, a Level 3 review result indicating doubt in the groundwater environmental monitoring data of the third water sample collected in the pre-defined area with significant human activity impact is generated: nitrate, ammonia nitrogen, heavy metals; when the water quality fluctuation of the confined water in the confined aquifer area involved in the third water sample set is not less than the water quality fluctuation of the unconfined aquifer area involved in the third water sample set, a Level 3 review result indicating doubt in the groundwater environmental monitoring data of each third water sample collected in the confined aquifer area is generated; when the pollution level of a third water sample collected in the unconfined aquifer is less than the pollution level of a third water sample collected in other layers, a Level 3 review result indicating doubt in the groundwater environmental monitoring data of the third water sample collected in the unconfined aquifer is generated.

[0101] If at least one third water sample is collected at a given location, then that location is considered part of the third water sample set.

[0102] As an example for identifying anomalies, for a point located in the upper apex region of an alluvial fan, if the chemical type of the groundwater at that point is not predominantly HCO3-Ca, then the point in the upper apex region of the alluvial fan does not meet the spatial distribution pattern conditions corresponding to points in the upper apex region of an alluvial fan, and therefore the point in the upper apex region of the alluvial fan is an anomaly.

[0103] In this application embodiment, the following considerations were taken into account: ① Based on groundwater dynamics, the groundwater in the upper reaches of alluvial fans is at a great depth and has a steep topographic slope. The sediments are mainly coarse particles such as pebbles and gravel, with good recharge and runoff conditions, fast groundwater flow velocity, and generally low turbidity. The groundwater chemical type is mostly HCO3-Ca type, while the overflow zone of the transition zone is mainly SO4-Mg•Ca type. In the lower vertical alternation zone, the groundwater runoff is slow, and chemically stable soluble elements such as chloride and sodium are easily enriched here. In addition, the groundwater in this area is shallow, and the evaporation and concentration are strong, resulting in increased salinity. The groundwater chemical type is mainly Cl-Na type. If the monitoring results of a large number of points do not conform to the above spatial distribution pattern, the data is questionable. ② Groundwater in areas with greater human impact, such as vegetable fields, livestock farms, farmland, and landfills, is easily affected by the combined effects of crop planting, landfill leachate diffusion, and irrigation water recharge. The content of nitrates, ammonia nitrogen, and heavy metals in the water may be relatively high. ③ Confined water participates in the water cycle more slowly than unconfined water, resulting in relatively smaller fluctuations in water quality. When the overlying vadose zone has good permeability and the groundwater depth is shallow, pollutants are more likely to migrate downwards to the aquifer under gravity, causing pollutants in the groundwater to exceed the standards. Therefore, unconfined aquifers are more susceptible to pollution.

[0104] In one possible implementation, the three-level review further includes: collecting supplementary groundwater environmental monitoring data corresponding to the groundwater environmental monitoring data with a three-level review result indicating doubt in the groundwater environmental monitoring data, wherein the collection time of the supplementary groundwater environmental monitoring data and the collection time of the groundwater environmental monitoring data with a three-level review result indicating doubt in the groundwater environmental monitoring data are within the same monitoring period; calculating the relative deviation between the supplementary groundwater environmental monitoring data and the groundwater environmental monitoring data with a three-level review result indicating doubt in the groundwater environmental monitoring data; when the relative deviation is within the allowable range of inter-laboratory relative deviation, generating a final review result indicating that the groundwater environmental monitoring data with a three-level review result indicating doubt in the groundwater environmental monitoring data has passed the review; when the relative deviation is not within the allowable range of inter-laboratory relative deviation and the type corresponding to the supplementary groundwater environmental monitoring data is consistent with the type corresponding to the groundwater environmental monitoring data with a three-level review result indicating doubt in the groundwater environmental monitoring data has passed the review, generating a final review result indicating that the groundwater environmental monitoring data with a three-level review result indicating doubt in the groundwater environmental monitoring data has passed the review.

[0105] Alternatively, supplementary monitoring should be conducted on the aforementioned questionable data (should be within the same monitoring period as the original monitoring, such as both being within the high-water season), and the relative deviation between the supplementary monitoring results and the original monitoring results should be calculated. If the deviation is within the allowable range for relative deviations between laboratories, the original monitoring results should be adopted as the final monitoring data. If it is not within the allowable range, and the two results do not cross categories I-III, IV, or V, the original monitoring results should be adopted; if the two results cross categories I-III, IV, or V, a comprehensive assessment is required to determine the data adoption.

[0106] Among them, the type of groundwater environmental monitoring data can be: water quality category determined based on the value of the indicator used to determine the water quality category in the groundwater environmental monitoring data.

[0107] In this application embodiment, it is considered that: for groundwater environmental monitoring, some points are set up around water pollution sources, shallow groundwater is easily affected by surface pollution sources, and the water chemical composition is complex. Therefore, the range should be appropriately relaxed to ±15% to better reflect the actual situation and ensure the operability of the review method.

[0108] In this application, a comprehensive analysis is conducted, taking into account aquifer lithology, runoff conditions, redox conditions, and pollution source distribution. Previous studies often focused on the relative positions of monitoring points, making simple judgments by comparing indicator concentrations, such as the concentration difference between adjacent upstream and downstream points should not be too large, the control point concentration should be lower than the downstream monitoring point, and deep water quality should be better than shallow water quality. This study constructs a more comprehensive technical system, exploring the spatial variation patterns of various indicator concentrations by analyzing the redox environment and pollution source distribution at different monitoring points, thus broadening the dimensions of data verification.

[0109] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0110] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented in hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0111] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of this application. It should be understood that the above description is only a specific embodiment of this application and is not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A groundwater environment monitoring data auditing method, characterized in that: The method comprises: performing primary review, the primary review comprising: when the target compound concentration of the VOCs target blank sample in the target batch water sample in the first water sample set is not less than the concentration threshold corresponding to the target compound concentration, determining that the VOCs target blank sample is unqualified, and generating a primary review result of the groundwater environment monitoring data of each first water sample or the groundwater environment monitoring data of the target batch water sample of the point corresponding to the VOCs target blank sample in the first groundwater environment monitoring data set, wherein the target batch water sample is any one batch water sample in the first water sample set, the VOCs target blank sample is any one of the VOCs transport blank sample and the VOCs full program blank sample, the first water sample set corresponds to the first groundwater environment monitoring data set, and the first groundwater environment monitoring data set comprises the groundwater environment monitoring data of each first water sample in the first water sample set; when the value of the target heavy metal index in the heavy metal target blank sample in the target batch water sample does not satisfy any one of the plurality of conditions, determining that the heavy metal target blank sample is unqualified, and generating a primary review result of the groundwater environment monitoring data of each first water sample or the groundwater environment monitoring data of the target batch water sample of the point corresponding to the heavy metal target blank sample in the first groundwater environment monitoring data set, wherein the heavy metal target blank sample is any one of the heavy metal transport blank sample and the heavy metal full program blank sample.

2. The method of claim 1, wherein: The primary review further comprises: performing parallel sample comparison testing on each parallel sample combination in the first water sample set, wherein the target parallel sample combination is any one parallel sample combination in the first water sample set, and the target parallel sample combination comprises a plurality of parallel samples of the point corresponding to the target parallel sample combination in the first water sample set; and the parallel sample comparison testing on the target parallel sample combination comprises: calculating the intra-laboratory relative deviation according to the detection values of the parallel samples from the target parallel sample combination obtained from each analysis testing unit, and when the intra-laboratory parallel sample comparison testing is determined to be unqualified according to the intra-laboratory relative deviation, generating a primary review result of the groundwater environment monitoring data of each first water sample of the point corresponding to the target parallel sample combination in the first groundwater environment monitoring data set, indicating that the groundwater environment monitoring data is unqualified; calculating the inter-laboratory relative deviation according to the detection values of the parallel samples from the target parallel sample combination obtained from each analysis testing unit and the detection values of the parallel samples from the target parallel sample combination obtained from each external quality control unit, and when the inter-laboratory parallel sample comparison testing is determined to be unqualified according to the inter-laboratory relative deviation, generating a primary review result of the groundwater environment monitoring data of each first water sample of the point corresponding to the target parallel sample combination in the first groundwater environment monitoring data set, indicating that the groundwater environment monitoring data is unqualified.

3. The method of claim 2, wherein: The primary review also includes: performing multi-dimensional review on each first water sample in the first water sample set, a target first water sample being any one of the first water sample set, and the multi-dimensional review on the target first water sample including: performing cation and anion balance inspection on the target first water sample, the cation and anion balance inspection including: when a sum of the amount-of-substance concentrations of the cations and the anions in the target first water sample is greater than a concentration sum threshold and a relative deviation between the amount-of-substance concentration of the anions and the amount-of-substance concentration of the cations in the target first water sample is not within a first range, generating a primary review result of the groundwater environmental monitoring data of the target first water sample indicating that the groundwater environmental monitoring data is unqualified; and when the sum of the amount-of-substance concentrations of the cations and the anions is less than the concentration sum threshold and the relative deviation is not within a second range greater than the first range, generating a primary review result of the groundwater environmental monitoring data of the target first water sample indicating that the groundwater environmental monitoring data is unqualified; When the pH value of the target first water sample is greater than the pH threshold value, free CO2 is detected from the target first water sample, and the groundwater environment monitoring data of the target first water sample does not have a first-level audit result indicating that the groundwater environment monitoring data is unqualified, a first-level audit result indicating that the groundwater environment monitoring data of the target first water sample is suspicious is generated; when the pH value of the target first water sample is less than the pH threshold value, CO3 2- and the groundwater environment monitoring data of the target first water sample does not have a first-level audit result indicating that the groundwater environment monitoring data is unqualified, a first-level audit result indicating that the groundwater environment monitoring data of the target first water sample is suspicious is generated.

4. The method of claim 3, wherein: the multi-dimensional review on the target first water sample also including: when the point corresponding to the target first water sample has inconsistent water chemical types in different monitoring periods and the groundwater environmental monitoring data of the target first water sample does not have a primary review result indicating that the groundwater environmental monitoring data is unqualified, generating a primary review result of the groundwater environmental monitoring data of the target first water sample indicating that the groundwater environmental monitoring data is suspicious.

5. The method of claim 4, wherein: The method also includes: performing secondary review according to a second water sample set in the first water sample set, wherein the groundwater environmental monitoring data of each second water sample in the second water sample set has a primary review result indicating that the groundwater environmental monitoring data is suspicious, the second water sample set corresponds to a second groundwater environmental monitoring data set in the first groundwater environmental monitoring data set, and the second groundwater environmental monitoring data set includes: the groundwater environmental monitoring data of each second water sample in the second water sample set; and the secondary review including: when a target point involved in the second water sample set has inconsistent water quality categories in a current monitoring period and at least one of a set of water quality categories including a water quality category of the target point in a same monitoring period of a previous year and a water quality category of the target point in a previous monitoring period, and a relative deviation of a target monitoring index of a water sample of the target point exceeds an inter-laboratory allowable range, generating a secondary review result of the groundwater environmental monitoring data of each second water sample of the target point indicating that the groundwater environmental monitoring data is suspicious; when the water quality categories of the target point in different monitoring periods are consistent and a difference between exceeding-standard indexes of the water samples of the target point in different monitoring periods is greater than an exceeding-standard index difference threshold, generating a secondary review result of the groundwater environmental monitoring data of each second water sample of the target point indicating that the groundwater environmental monitoring data is suspicious; when a change amount of a content of a target monitoring index of a target second water sample of the target point relative to a content of a target monitoring index of a water sample of the target point in a previous monitoring period exceeds a change amount threshold, generating a secondary review result of the groundwater environmental monitoring data of each second water sample of the target point indicating that the groundwater environmental monitoring data is suspicious; When the content of the target monitoring index of the target second water sample of the target point exceeds the underground water environmental background value of the target monitoring index determined by the ecological environmental department of the region where the target point is located, a secondary audit result indicating that the groundwater environmental monitoring data of each second water sample of the target point is suspicious is generated.

6. The method of claim 5, wherein: The secondary audit further includes: When the difference between the same type of water quality proportions of the statistical unit involved by the second water sample set in different monitoring periods is greater than the water quality proportion difference threshold, a secondary audit result indicating that the groundwater environmental monitoring data of each second water sample of the point in the statistical unit is suspicious is generated; When the mean or median value of the content of the target monitoring index of the second water sample collected in the statistical unit exceeds the change threshold relative to the mean or median value of the target monitoring index of the water sample collected in the monitoring period before the current monitoring period in the statistical unit, a secondary audit result indicating that the groundwater environmental monitoring data of each second water sample of the point in the statistical unit is suspicious is generated.

7. The method of claim 6, wherein: The method further includes: According to a third water sample set in the second water sample set, a tertiary audit is performed, wherein the groundwater environmental monitoring data of each third water sample in the third water sample set has a secondary audit result indicating that the groundwater environmental monitoring data is suspicious, the third water sample set corresponds to a third groundwater environmental monitoring data set in the second groundwater environmental monitoring data set, and the third groundwater environmental monitoring data set includes: the groundwater environmental monitoring data of each third water sample in the third water sample set; and the tertiary audit includes: When the content of at least one of the following monitoring indexes of the target regional third water sample collected in the target region involved by the third water sample set is less than the too low threshold: TDS, sulfate, sodium, and macro component, a tertiary audit result indicating that the groundwater environmental monitoring data of the target regional third water sample is suspicious is generated.

8. The method of claim 7, wherein: The tertiary audit further includes: When the content of sulfide in the target third water sample belongs to the same type as the content of nitrate in the target third water sample, a tertiary audit result indicating that the groundwater environmental monitoring data of the target third water sample is suspicious is generated, wherein the target third water sample is any one of the third water sample set; When the content of arsenic in the target third water sample and the content of ammonia nitrogen in the target third water sample have a negative correlation, a tertiary audit result indicating that the groundwater environmental monitoring data of the target third water sample is suspicious is generated; When the concentration of sulfide in the target third water sample is higher than the sulfide concentration threshold and the content of at least one of the following multiple heavy metals in the target third water sample is not relatively low: lead, zinc, and cadmium, a tertiary audit result indicating that the groundwater environmental monitoring data of the target third water sample is suspicious is generated.

9. The method of claim 8, wherein: The tertiary audit further includes: When the number of abnormal point positions in the set of point positions involved in the third set of water samples exceeds the number threshold, and each of the abnormal point positions does not satisfy the spatial distribution rule condition corresponding to the abnormal point position, a three-level review result indicating that the groundwater environment monitoring data of the third set of water samples is questionable is generated; wherein the spatial distribution rule condition corresponding to the point position in the alluvial fan upstream fan top area is that the chemical type of the groundwater of the point position in the alluvial fan upstream fan top area is mainly HCO3-Ca type, the spatial distribution rule condition corresponding to the point position in the overflow zone of the transition zone is that the chemical type of the groundwater of the point position in the overflow zone of the transition zone is mainly SO4-Mg•Ca type, and the spatial distribution rule condition corresponding to the point position in the downstream vertical alternating zone is that the chemical type of the groundwater of the point position in the downstream vertical alternating zone is mainly Cl-Na type; When the content of at least one of the following monitoring indexes in the third water sample collected in the preset area with greater human activity influence in the third set of water samples is relatively low, a three-level review result indicating that the groundwater environment monitoring data of the third water sample collected in the preset area with greater human activity influence is questionable is generated: nitrate, ammonia nitrogen, heavy metal; When the water quality fluctuation of confined water in the confined water area involved in the third set of water samples is not less than the water quality fluctuation of phreatic water in the phreatic water area involved in the third set of water samples, a three-level review result indicating that the groundwater environment monitoring data of each third water sample collected in the confined water area is questionable is generated; When the pollution degree of the third water sample collected in the phreatic aquifer is less than the pollution degree of the third water sample collected in other layers, a three-level review result indicating that the groundwater environment monitoring data of the third water sample collected in the phreatic aquifer is questionable is generated.

10. The method of claim 9, wherein: The three-level review further includes: collecting supplementary groundwater environment monitoring data corresponding to the groundwater environment monitoring data with the three-level review result indicating that the groundwater environment monitoring data is questionable, wherein the collection time of the supplementary groundwater environment monitoring data is within the same monitoring period as the collection time of the groundwater environment monitoring data with the three-level review result indicating that the groundwater environment monitoring data is questionable; calculating the relative deviation between the supplementary groundwater environment monitoring data and the groundwater environment monitoring data with the three-level review result indicating that the groundwater environment monitoring data is questionable; when the relative deviation is within the inter-laboratory relative deviation allowable range, generating a final review result indicating that the groundwater environment monitoring data with the three-level review result indicating that the groundwater environment monitoring data is questionable passes the review; when the relative deviation is not within the inter-laboratory relative deviation allowable range and the type corresponding to the supplementary groundwater environment monitoring data is consistent with the type corresponding to the groundwater environment monitoring data with the three-level review result indicating that the groundwater environment monitoring data is questionable, generating a final review result indicating that the groundwater environment monitoring data with the three-level review result indicating that the groundwater environment monitoring data is questionable passes the review.

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