A method and system for risk management of groundwater pollution at landfill sites

Abstract

This invention relates to the field of environmental engineering, and discloses a method and system for risk management of groundwater pollution at landfill sites. The method includes: acquiring leachate samples, daily landfill volume, and multiple leachate composition reports from the landfill; obtaining environmental data; performing a chemical assessment of the leachate samples based on the multiple leachate composition reports to obtain a leachate pollution index; confirming the groundwater monitoring agency; obtaining multiple water quality data sets and coordinates of multiple monitoring wells based on monitoring time intervals and pollution monitoring by the groundwater monitoring agency; acquiring the landfill coordinates; calculating a comprehensive pollution index using the landfill coordinates, multiple monitoring well coordinates, multiple water quality data sets, and landfill risk weights; and completing the risk management of groundwater pollution when the risk management center receives a pollution warning signal or a safety signal. This invention can improve the automation and accuracy of assessing groundwater pollution near landfills.

Description

Technical Field

[0001] This invention relates to the field of environmental engineering, and in particular to a method, system, electronic device, and computer-readable storage medium for risk management of groundwater pollution at landfill sites. Background Technology

[0002] With the increasing quantity and variety of modern waste, the problem of groundwater pollution near landfills is becoming increasingly serious. How to effectively and timely monitor groundwater pollution near landfills has become an urgent issue to be addressed.

[0003] Existing groundwater pollution control methods mostly rely on periodic manual sampling and testing or the use of water quality monitoring instruments at fixed locations to analyze groundwater quality and assess the pollution status of groundwater near landfills.

[0004] While existing groundwater pollution control methods can assess the pollution levels of groundwater near landfills, data obtained from manual sampling and water quality analysis still require further manual analysis. This manual analysis is often uncertain, time-consuming, and labor-intensive. Furthermore, it doesn't consider local environmental conditions and the specific landfill situation when assessing groundwater pollution, leading to inaccurate results. Therefore, a more intelligent and accurate groundwater pollution control method is urgently needed. Summary of the Invention

[0005] This invention provides a method for risk management of groundwater pollution at landfill sites and a computer-readable storage medium. Its main purpose is to improve the automation and accuracy of assessing groundwater pollution near landfill sites.

[0006] To achieve the above objectives, the present invention provides a method for controlling groundwater pollution risks at landfill sites, comprising:

[0007] Receive pollution control instructions, confirm the landfill and multiple groundwater monitoring wells based on the pollution control instructions, and obtain leachate samples, daily landfill volume and multiple leachate composition reports from the landfill. The leachate composition reports include: filtrate conductivity and filtrate pH value.

[0008] Environmental data was acquired, including average precipitation and maximum temperature. Leachate samples were chemically evaluated based on multiple leachate composition reports to obtain the leachate pollution index. The landfill risk weight and monitoring time interval were determined based on the daily landfill volume, environmental data, and leachate pollution index.

[0009] The groundwater monitoring agency was identified. The groundwater monitoring agency includes: environmental thermometers, water body thermometers, water quality monitoring instruments and positioning units. The water quality monitoring instruments include: COD sensors, ammonia nitrogen sensors and turbidity sensors.

[0010] Based on the monitoring time interval and the pollution monitoring of multiple groundwater monitoring wells by groundwater monitoring agencies, multiple water quality data sets and multiple monitoring well coordinates are obtained, wherein the monitoring well coordinates and water quality data sets correspond one-to-one;

[0011] Obtain the landfill coordinates, calculate the comprehensive pollution index using the landfill coordinates, coordinates of multiple monitoring wells, multiple water quality data sets, and landfill risk weights, and compare the comprehensive pollution index with the preset standard pollution threshold.

[0012] If the comprehensive pollution index is greater than or equal to the standard pollution threshold, the pre-built pollution warning signal will be sent to the pre-built risk management center; otherwise, the pre-built safety signal will be sent to the risk management center.

[0013] When the risk management center receives a pollution warning signal or a safety signal, it completes the risk management of groundwater pollution.

[0014] Optionally, the step of chemically evaluating leachate samples based on multiple leachate composition reports to obtain a leachate contamination index includes:

[0015] The test pH value and test volume of the leachate sample are obtained, and the conductivity of the leachate sample is detected using a pre-constructed conductivity meter to obtain the test conductivity.

[0016] The leachate sample was heated and boiled to obtain a primary leachate sample. The primary leachate sample was then filtered to obtain a secondary leachate sample.

[0017] Acidification is performed on intermediate leachate samples, and the intermediate pH value of the intermediate leachate samples undergoing acidification is monitored in real time until the intermediate pH value reaches the preset acidification pH value, thus obtaining the acidified leachate sample.

[0018] A solid-phase extraction column and an adsorption matrix were obtained, wherein the adsorption matrix included a chelating resin matrix and an activated carbon matrix.

[0019] An activated carbon matrix is ​​placed in a solid-phase extraction column to obtain an activated carbon extraction column. The activated carbon extraction column is used to perform a filtration operation on the acidified filtrate sample to obtain an impurity-removed solution.

[0020] A chelating resin matrix is ​​placed into a solid-phase extraction column to obtain a chelating extraction column. An acidification activation operation is performed on the chelating extraction column to obtain an activated extraction column.

[0021] An extraction operation was performed on the impurity filtration solution using an activated extraction column to obtain a metal extraction column. The metal extraction column was then eluted using a pre-constructed EDTA solution to obtain a metal eluent.

[0022] The metal elution solution is diluted to obtain a diluted metal solution, wherein the volume of the diluted metal solution is the test volume;

[0023] Inductively coupled plasma mass spectrometry (ICP-MS) analysis of the diluted metal solution yielded the concentrations of lead ions, mercury ions, and chromium ions.

[0024] The filtrate contamination index is calculated based on the test pH value, test conductivity, multiple leachate component reports, lead ion concentration, mercury ion concentration, and chromium ion concentration.

[0025] Optionally, the calculation of the filtrate contamination index based on the test pH value, test conductivity, multiple leachate component reports, lead ion concentration, mercury ion concentration, and chromium ion concentration includes:

[0026]

[0027] Where, θ con The leachate contamination index is given by n, where n is the number of leachate component reports from multiple leachate component reports, and pH is given by [missing information]. i and ρ i These are the filtrate conductivity and filtrate pH values ​​reported by the i-th filtrate component in multiple leachate component reports. x To test the pH value, ρ x To test conductivity, C Cr C Pb and C Hg These represent the concentrations of chromium ions, lead ions, and mercury ions, respectively. e is the natural constant, PH0 is the preset standard pH value, and || refers to taking the absolute value.

[0028] Optionally, the step of determining the landfill risk weight and monitoring time interval based on daily landfill volume, environmental data, and filtrate pollution index includes:

[0029] The landfill risk weight is calculated based on daily landfill volume, environmental data, and filtrate contamination index, using the following formula:

[0030]

[0031] in, For landfill risk weighting, M x M0 and M1 represent the daily landfill volume and the preset standard landfill volume, respectively. T represents the average precipitation in the environmental data. max Here, represents the highest temperature in the environmental data, and tanh is the hyperbolic tangent function.

[0032] The monitoring time interval is calculated based on the landfill risk weight, as shown in the following formula:

[0033]

[0034] Among them, t x For monitoring time intervals, t0 is the preset reference risk weight, and t0 is the preset standard monitoring interval.

[0035] Optionally, the step of obtaining multiple water quality data sets and multiple monitoring well coordinates based on monitoring time intervals and pollution monitoring of multiple groundwater monitoring wells by groundwater monitoring agencies includes:

[0036] The following operations shall be performed on each of the multiple groundwater monitoring wells:

[0037] The positioning unit in the groundwater monitoring agency is used to perform positioning operations on the groundwater monitoring well to obtain the coordinates of the monitoring well. The time interval is recorded in real time, starting from the time when the monitoring well coordinates are obtained, to obtain the comprehensive time interval.

[0038] Once the groundwater source in the groundwater monitoring well is identified, the waiting time interval is obtained by recording the time interval from the time the groundwater source in the monitoring well is identified.

[0039] The ambient temperature is obtained using an ambient thermometer in the groundwater monitoring agency, and the groundwater temperature is obtained by performing a detection operation on the groundwater source using a water thermometer in the groundwater monitoring agency. The geothermal difference is calculated based on the ambient temperature and the water temperature, where the geothermal difference is the absolute difference between the ambient temperature and the water temperature.

[0040] The COD sensor, ammonia nitrogen sensor and turbidity sensor in the water quality monitoring instrument are used to perform detection operations on the groundwater source to obtain the COD concentration, ammonia nitrogen concentration and turbidity of the water source.

[0041] The geothermal difference, water source COD concentration, water source ammonia nitrogen concentration, and water source turbidity are integrated into a water quality data package. The water quality data package is stored in a pre-built monitoring memory to obtain a target memory. When the waiting time interval is equal to the monitoring time interval, the target memory is used as the monitoring memory, and the step of confirming the groundwater source in the groundwater monitoring well is returned until the comprehensive time interval is greater than or equal to the preset standard time interval. The water quality data package set is then extracted from the target memory. The water quality data package set includes multiple water quality data packages.

[0042] The water quality data sets are aggregated to obtain multiple water quality data sets.

[0043] Optionally, the calculation of the comprehensive pollution index using landfill coordinates, multiple monitoring well coordinates, multiple water quality data sets, and landfill risk weights includes:

[0044] For each of the multiple water quality data sets, perform the following operations:

[0045] The fluctuation weight and geothermal weight are calculated based on multiple water quality data packets in the water quality data packet set, and the location weight is calculated based on the landfill coordinates and the coordinates of multiple monitoring wells that correspond to the water quality data packet set.

[0046] By summing the fluctuation weight, geothermal weight, and location weight, multiple fluctuation weights, multiple geothermal weights, and multiple location weights are obtained.

[0047] The comprehensive pollution index is calculated based on multiple fluctuation weights, multiple geothermal weights, multiple location weights, multiple water quality data sets, and landfill risk weights. The water quality data sets correspond one-to-one with the fluctuation weights, geothermal weights, and location weights.

[0048] Optionally, the step of calculating the fluctuation weight and geothermal weight based on multiple water quality data packets in the water quality data packet set includes:

[0049] Multiple geothermal difference values, COD concentrations, ammonia nitrogen concentrations, and turbidity values ​​from multiple water quality data packets were extracted.

[0050] The variance of COD is calculated based on the COD concentration of multiple water sources, the variance of ammonia nitrogen is calculated based on the ammonia nitrogen concentration of multiple water sources, and the variance of turbidity is calculated based on the turbidity of multiple water sources. The variances of COD, ammonia nitrogen, and turbidity are respectively the variances of COD concentration, ammonia nitrogen concentration, and turbidity of multiple water sources.

[0051] The fluctuation weight is calculated based on the variances of COD, ammonia nitrogen, and turbidity, using the following formula:

[0052]

[0053] Where, α x For fluctuation weights, σ COD Let σ be the variance of COD. N Let σ be the variance of ammonia nitrogen. FTU This represents the turbidity variance.

[0054] Geothermal weight is calculated based on multiple geothermal differences, using the following formula:

[0055]

[0056] Where, β x For geothermal weights, m is the number of geothermal differences among multiple geothermal differences, and T is the geothermal weight.i Let be the i-th geothermal difference among multiple geothermal differences, and ln be the natural logarithm.

[0057] Optionally, the step of calculating the location weight based on the landfill coordinates and the coordinates of the monitoring wells corresponding to the water quality data set from multiple monitoring well coordinates includes:

[0058] Identify the landfill longitude and latitude of the landfill coordinates, and identify the monitoring well longitude and latitude of the monitoring well coordinates;

[0059] The location weight is calculated based on the landfill longitude, landfill latitude, monitoring well longitude, and monitoring well latitude. The calculation formula is as follows:

[0060]

[0061] Where, γ x For positional weights, EW x EW0 and SN represent the longitude of the monitoring well and the landfill, respectively. x SN0 and SN0 represent the latitude of the monitoring well and the landfill, respectively.

[0062] Optionally, the step of calculating the comprehensive pollution index based on multiple fluctuation weights, multiple geothermal weights, multiple location weights, multiple water quality data sets, and landfill risk weights includes:

[0063] Perform the following operations on each of the multiple water quality data sets:

[0064] The mean values ​​of COD concentration, ammonia nitrogen concentration, and turbidity are calculated based on the COD concentration, ammonia nitrogen concentration, and turbidity of multiple water sources corresponding to the water quality data set. The mean COD concentration is the average of the COD concentration of multiple water sources, the mean ammonia nitrogen concentration is the average of the ammonia nitrogen concentration of multiple water sources, and the mean turbidity is the average of the turbidity of multiple water sources.

[0065] The average COD concentration, average ammonia nitrogen concentration, and average turbidity were summarized separately to obtain multiple average COD concentrations, multiple average ammonia nitrogen concentrations, and multiple average turbidity values. The water quality data set corresponds one-to-one with the average COD concentration, average ammonia nitrogen concentration, and average turbidity value.

[0066] The comprehensive pollution index is calculated based on landfill risk weights, multiple average COD concentrations, multiple average ammonia nitrogen concentrations, multiple average turbidity concentrations, multiple fluctuation weights, multiple geothermal weights, and multiple location weights. The calculation formula is shown below:

[0067]

[0068] Where, χ con The comprehensive pollution index is N, where N is the number of water quality data sets in the multiple water quality data set datasets, and α is the comprehensive pollution index.xi β xi and γ xi These are the fluctuation weight, geothermal weight, and location weight corresponding to the i-th water quality data set in multiple water quality data sets, among multiple fluctuation weights, multiple geothermal weights, and multiple location weights. and These are the average COD concentration, average ammonia nitrogen concentration, and average turbidity values ​​corresponding to the i-th water quality data set in multiple water quality data sets, respectively.

[0069] To achieve the above objectives, the present invention also provides a landfill groundwater pollution risk management system, comprising:

[0070] The leachate analysis module receives pollution control instructions, identifies the landfill and multiple groundwater monitoring wells based on these instructions, and obtains leachate samples, daily landfill volume, and multiple leachate composition reports. The leachate composition reports include: leachate conductivity and pH value. Environmental data is also acquired, including: average precipitation and maximum temperature. Based on the multiple leachate composition reports, the leachate samples are chemically evaluated to obtain the leachate pollution index. Finally, the landfill risk weight and monitoring time interval are determined based on the daily landfill volume, environmental data, and the leachate pollution index.

[0071] The underground pollution monitoring module is used to identify groundwater monitoring institutions. These institutions include an ambient thermometer, a water body thermometer, a water quality monitor, and a positioning unit. The water quality monitor includes a COD sensor, an ammonia nitrogen sensor, and a turbidity sensor. Based on the monitoring time interval and the groundwater monitoring institutions' pollution monitoring of multiple groundwater monitoring wells, multiple water quality data sets and multiple monitoring well coordinates are obtained. The monitoring well coordinates and water quality data sets correspond one-to-one.

[0072] The pollution risk analysis module is used to obtain the landfill coordinates, calculate the comprehensive pollution index using the landfill coordinates, multiple monitoring well coordinates, multiple water quality data sets and landfill risk weights, and compare the comprehensive pollution index with the preset standard pollution threshold.

[0073] The warning signal sending module is used to send a pre-built pollution warning signal to the pre-built risk management center if the comprehensive pollution index is greater than or equal to the standard pollution threshold; otherwise, it sends a pre-built safety signal to the risk management center. When the risk management center receives the pollution warning signal or the safety signal, it completes the risk management of groundwater pollution.

[0074] To address the above problems, the present invention also provides an electronic device, the electronic device comprising:

[0075] Memory, storing at least one instruction; and

[0076] The processor executes the instructions stored in the memory to implement the above-described method for controlling groundwater pollution risks at landfill sites.

[0077] To address the aforementioned problems, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the above-described method for controlling groundwater pollution risks at landfill sites.

[0078] To address the problems described in the background section, this invention receives pollution control instructions, confirms the landfill and multiple groundwater monitoring wells based on these instructions, and obtains leachate samples, daily landfill volume, and multiple leachate composition reports. The leachate composition reports include: filtrate conductivity and pH value. Therefore, this invention provides crucial data support for subsequent assessment of landfill risk weights by obtaining leachate samples, daily landfill volume, and leachate composition reports, improving the accuracy of water pollution assessment and obtaining environmental data, including: average precipitation and maximum temperature. Based on the multiple leachate composition reports, the leachate... Chemical evaluation of leachate samples yields a leachate pollution index. Based on daily landfill volume, environmental data, and the leachate pollution index, landfill risk weights and monitoring time intervals are determined. This embodiment of the invention accurately assesses the pollution level of leachate from landfills through chemical evaluation of leachate samples. Simultaneously, environmental data helps determine the impact of the external environment on the spread of pollution from landfills, thereby improving the accuracy of groundwater pollution assessment. The groundwater monitoring institution includes: an environmental thermometer, a water body thermometer, a water quality monitoring instrument, and a positioning unit. The water quality monitoring instrument includes: a COD sensor, an ammonia nitrogen sensor, and a turbidity sensor. The invention utilizes sensors to monitor groundwater pollution in multiple wells over a monitoring time interval, obtaining multiple water quality data sets and well coordinates. Each well coordinate corresponds one-to-one with a water quality data set. This demonstrates that the invention improves the automation of groundwater pollution assessment by enabling real-time and automatic pollution monitoring of groundwater wells by groundwater monitoring agencies. Furthermore, it acquires landfill coordinates and calculates a comprehensive pollution index using these coordinates, multiple well coordinates, multiple water quality data sets, and landfill risk weights. The comprehensive pollution index is then compared to a preset standard pollution threshold. This demonstrates how the invention, by considering landfill coordinates and multiple monitoring data sets, effectively mitigates pollution risks. A comprehensive pollution index is calculated using well coordinates, multiple water quality data sets, and landfill risk weights. This quantifies the groundwater pollution situation and improves the accuracy of groundwater pollution assessment. If the comprehensive pollution index is greater than or equal to the standard pollution threshold, a pre-constructed pollution warning signal is sent to a pre-constructed risk management center; otherwise, a pre-constructed safety signal is sent to the risk management center. When the risk management center receives the pollution warning signal or safety signal, it completes the risk management of groundwater pollution. Therefore, this invention improves the timeliness and automation of groundwater pollution assessment by sending timely reminders to the risk management center through pollution warning signals or safety signals. Thus, this invention can improve the automation and accuracy of assessing groundwater pollution near landfills. Attached Figure Description

[0079] Figure 1This is a flowchart illustrating a method for controlling groundwater pollution risks at landfill sites according to an embodiment of the present invention.

[0080] Figure 2 This is a functional module diagram of a landfill groundwater pollution risk management system provided in an embodiment of the present invention;

[0081] Figure 3 This is a schematic diagram of the structure of an electronic device for implementing the landfill groundwater pollution risk management method according to an embodiment of the present invention.

[0082] Explanation of reference numerals in the attached figures:

[0083] 10. Electronic device; 11. Processor; 12. Memory; 13. Bus.

[0084] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0085] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0086] This application provides a method for risk management of groundwater pollution in landfills. The executing entity of this method includes, but is not limited to, at least one electronic device that can be configured to execute the method provided in this application, such as a server or a terminal. In other words, the method can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0087] Reference Figure 1 The diagram shown is a flowchart illustrating a method for controlling groundwater pollution risks at landfill sites according to an embodiment of the present invention. In this embodiment, the method for controlling groundwater pollution risks at landfill sites includes:

[0088] S1. Receive pollution control instructions, confirm the landfill and multiple groundwater monitoring wells based on the pollution control instructions, and obtain leachate samples, daily landfill volume and multiple leachate composition reports from the landfill. The leachate composition reports include: filtrate conductivity and filtrate pH value.

[0089] It should be explained that pollution control orders are generally initiated by environmental monitoring personnel at landfills. For example, after waste is buried in a landfill, during the natural degradation process, some organic and inorganic matter in the waste dissolves into the accumulated water or rainwater in the landfill, generating a highly polluting liquid called leachate. Leachate gradually flows downwards under the influence of gravity. To prevent leachate from flowing into the ground and polluting groundwater, landfills typically lay an impermeable layer at the bottom of the landfill and collect the leachate through pipes. However, during landfill operation, the impermeable layer may be damaged due to environmental impacts or human error. Therefore, environmental monitoring departments and monitoring wells are usually located near landfills. These departments monitor the groundwater in the monitoring wells to assess whether the groundwater is polluted, thus promptly alerting landfill operators to inspect or repair the impermeable layer. These environmental monitoring personnel are those responsible for monitoring groundwater pollution within the environmental monitoring department. Every so often, these personnel initiate pollution control instructions to manage the pollution risk of groundwater near the landfill. A landfill leachate sample is a specific mass of leachate collected from the landfill through pipelines at the most recent time. The environmental monitoring department is responsible for monitoring the environmental pollution caused by landfills. Daily landfill volume refers to the total mass of waste landfilled at the landfill within the most recent day.

[0090] Understandably, landfills typically conduct preliminary tests on leachate after collecting it daily to assess its contamination levels. The multiple leachate composition reports mentioned are those generated during historical preliminary tests of leachate at landfills. The leachate conductivity is the conductivity recorded in the leachate composition report, and the leachate pH value is the pH value recorded in the leachate composition report. In this embodiment of the invention, all pH values ​​are at 25 degrees Celsius.

[0091] It should be understood that an environmental monitoring department typically monitors multiple nearby landfills. The pollution control order contains information or numbers of the landfills to be monitored. Therefore, the landfill corresponding to the pollution control order can be identified through the order. Furthermore, each landfill corresponds to multiple monitoring wells used to monitor groundwater pollution levels. Thus, the pollution control order also identifies multiple groundwater monitoring wells corresponding to the landfill. Groundwater monitoring wells are used to monitor groundwater near landfills, and these wells are pre-constructed when the landfill is first established.

[0092] S2. Obtain environmental data, including average precipitation and maximum temperature. Conduct chemical assessments on leachate samples based on multiple leachate composition reports to obtain the leachate pollution index. Determine the landfill risk weight and monitoring time interval based on daily landfill volume, environmental data, and leachate pollution index.

[0093] It should be explained that the environmental data consists of average precipitation and maximum temperature. Average precipitation refers to the average daily rainfall over the past 7 days in the area where the landfill is located. Maximum temperature refers to the highest air temperature over the past 7 days in the area where the landfill is located.

[0094] In detail, the chemical evaluation of leachate samples based on multiple leachate composition reports to obtain the leachate contamination index includes:

[0095] The test pH value and test volume of the leachate sample are obtained, and the conductivity of the leachate sample is detected using a pre-constructed conductivity meter to obtain the test conductivity.

[0096] The leachate sample was heated and boiled to obtain a primary leachate sample. The primary leachate sample was then filtered to obtain a secondary leachate sample.

[0097] Acidification is performed on intermediate leachate samples, and the intermediate pH value of the intermediate leachate samples undergoing acidification is monitored in real time until the intermediate pH value reaches the preset acidification pH value, thus obtaining the acidified leachate sample.

[0098] A solid-phase extraction column and an adsorption matrix were obtained, wherein the adsorption matrix included a chelating resin matrix and an activated carbon matrix.

[0099] An activated carbon matrix is ​​placed in a solid-phase extraction column to obtain an activated carbon extraction column. The activated carbon extraction column is used to perform a filtration operation on the acidified filtrate sample to obtain an impurity-removed solution.

[0100] A chelating resin matrix is ​​placed into a solid-phase extraction column to obtain a chelating extraction column. An acidification activation operation is performed on the chelating extraction column to obtain an activated extraction column.

[0101] An extraction operation was performed on the impurity filtration solution using an activated extraction column to obtain a metal extraction column. The metal extraction column was then eluted using a pre-constructed EDTA solution to obtain a metal eluent.

[0102] The metal elution solution is diluted to obtain a diluted metal solution, wherein the volume of the diluted metal solution is the test volume;

[0103] Inductively coupled plasma mass spectrometry (ICP-MS) analysis of the diluted metal solution yielded the concentrations of lead ions, mercury ions, and chromium ions.

[0104] The filtrate contamination index is calculated based on the test pH value, test conductivity, multiple leachate component reports, lead ion concentration, mercury ion concentration, and chromium ion concentration.

[0105] It should be explained that "test volume" refers to the volume of the leachate sample, and "test pH value" refers to the pH value of the leachate sample. A conductivity meter is an instrument that measures the conductivity of a leachate sample. "Test conductivity" refers to the conductivity of the leachate sample.

[0106] It should be understood that heating and boiling the leachate sample refers to heating the leachate sample to 100 degrees Celsius, maintaining it at 100 degrees Celsius for a period of time, and then cooling it to room temperature. Filtration of the primary leachate sample refers to filtering the primary leachate sample using a filter membrane with a specific pore size, preferably 0.45 μm. Acidification of the intermediate leachate sample refers to adding dilute hydrochloric acid or dilute nitric acid to the leachate sample. For example, a certain concentration of dilute nitric acid is slowly titrated into the intermediate leachate sample while continuously stirring, and the pH value of the intermediate leachate sample is measured in real time using a pH meter until the pH value of the intermediate leachate sample reaches 3, thus obtaining the acidified leachate sample. Diluting the metal eluent solution refers to adding a certain mass of purified water to the metal eluent solution until the volume of the metal eluent solution reaches the test volume.

[0107] It should be explained that the main function of a solid-phase extraction (SPE) column is to separate lead, mercury, and chromium ions from the acidified filtrate sample. The adsorption matrix is ​​a material used to fill the SPE column to adsorb specific substances in the acidified filtrate sample. The chelating resin matrix is ​​a type of thiol-modified polystyrene resin (polystyrene resin with -SH groups) that can be filled into the SPE column; it has a strong adsorption capacity for lead, mercury, and chromium ions. The activated carbon matrix is ​​a type of activated carbon that can be filled into the SPE column; it has a strong adsorption capacity for organic matter in the acidified filtrate sample.

[0108] For example, an activated carbon matrix is ​​filled into a solid-phase extraction column to obtain an activated carbon extraction column. An acidified filtrate sample is slowly poured into the activated carbon extraction column, and the solution passing through the column is collected to obtain an impurity-removed solution. A new solid-phase extraction column is then used, and a chelating resin matrix is ​​filled into the column to obtain a chelate extraction column. The acidification activation operation of the chelate extraction column involves slowly pouring a hydrochloric acid solution of a certain concentration into the column. After the hydrochloric acid solution has completely passed through and flowed out of the column, the hydrochloric acid-washed chelate extraction column is used as the activation agent. The activated extraction column is used first, followed by the slow pouring of the impurity filtrate solution into it. Once the impurity filtrate solution has completely passed through and exited the activated extraction column, this remaining activated extraction column serves as the metal extraction column. At this point, the chelating resin matrix in the metal extraction column has adsorbed some of the metal ions from the impurity filtrate solution. Then, EDTA solution is slowly poured into the metal extraction column. The complexation effect of the EDTA solution on the metal ions separates the adsorbed metal ions from the metal extraction column. The EDTA solution exiting the metal extraction column is used as the metal elution solution. EDTA solution refers to a solution of ethylenediaminetetraacetic acid (EDTA) of a certain concentration.

[0109] It is understood that the above-mentioned analysis of the diluted metal solution by inductively coupled plasma mass spectrometry to obtain the concentrations of lead ions, mercury ions and chromium ions refers to the detection of the concentrations of lead ions, mercury ions and chromium ions in the diluted metal solution using inductively coupled plasma mass spectrometry. Moreover, the technique of detecting the concentrations of lead ions, mercury ions and chromium ions in the diluted metal solution using inductively coupled plasma mass spectrometry is existing technology and will not be described in detail here.

[0110] In detail, the calculation of the filtrate contamination index based on test pH value, test conductivity, multiple leachate component reports, lead ion concentration, mercury ion concentration, and chromium ion concentration includes:

[0111]

[0112] Where, θ con The leachate contamination index is given by n, where n is the number of leachate component reports from multiple leachate component reports, and pH is given by [missing information]. i and ρ i These are the filtrate conductivity and filtrate pH values ​​reported by the i-th filtrate component in multiple leachate component reports. x To test the pH value, ρ x To test conductivity, C Cr C Pb and C Hg These represent the concentrations of chromium ions, lead ions, and mercury ions, respectively. e is the natural constant, PH0 is the preset standard pH value, and || refers to taking the absolute value.

[0113] Optionally, the standard pH value is 7.

[0114] It should be understood that the filtrate contamination index reflects the contamination level of the leachate sample; the higher the filtrate contamination index, the stronger the contamination level of the leachate sample.

[0115] Specifically, the determination of landfill risk weights and monitoring time intervals based on daily landfill volume, environmental data, and filtrate contamination index includes:

[0116] The landfill risk weight is calculated based on daily landfill volume, environmental data, and filtrate contamination index, using the following formula:

[0117]

[0118] in, For landfill risk weighting, M x M0 and M1 represent the daily landfill volume and the preset standard landfill volume, respectively. T represents the average precipitation in the environmental data. max Here, represents the highest temperature in the environmental data, and tanh is the hyperbolic tangent function.

[0119] The monitoring time interval is calculated based on the landfill risk weight, as shown in the following formula:

[0120]

[0121] Among them, t x For monitoring time intervals, t0 is the preset reference risk weight, and t0 is the preset standard monitoring interval.

[0122] Optionally, the average mass of waste disposed of daily in landfills throughout history can be used as the standard landfill volume.

[0123] It should be understood that since some of the water in leachate comes from rainwater, as average rainfall increases, leachate levels also increase, thus increasing the likelihood of leachate leakage. Furthermore, the rate of natural waste degradation is affected by the highest temperature; the higher the highest temperature, the faster the waste degrades, resulting in more pollutants dissolving into the leachate and thus increasing the risk of groundwater pollution. Therefore, the landfill risk weight reflects the risk of groundwater pollution caused by landfills; the higher the landfill risk weight, the higher the risk of groundwater pollution caused by landfills.

[0124] Optionally, the reference risk weight is set to 1, and the standard monitoring interval is 1 hour.

[0125] Understandably, the greater the risk of groundwater pollution from landfills, the shorter the monitoring intervals required in subsequent monitoring to promptly detect changes in groundwater quality.

[0126] S3. Confirm the groundwater monitoring agency, which includes: environmental thermometer, water body thermometer, water quality monitoring instrument and positioning unit, wherein the water quality monitoring instrument includes: COD sensor, ammonia nitrogen sensor and turbidity sensor.

[0127] It should be explained that a groundwater monitoring agency is a device integrating an ambient thermometer, a water thermometer, a water quality monitoring instrument, and a positioning unit, used to monitor groundwater monitoring wells. The ambient thermometer measures the air temperature at the wellhead, while the water thermometer measures the temperature of the groundwater source within the well. The water quality monitoring instrument detects the COD concentration, ammonia nitrogen concentration, and turbidity of the groundwater source. Specifically, the COD sensor monitors the COD concentration, the ammonia nitrogen sensor monitors the ammonia nitrogen concentration, and the turbidity sensor monitors the turbidity. Optionally, the Shandong Shuijing Sensing Technology - Multi-parameter Online Water Quality Analyzer can be used as the water quality analyzer. Groundwater refers to a certain mass of water located in a groundwater monitoring well. The COD concentration refers to the chemical oxygen demand (COD) of the groundwater source. COD is an indicator of the degree of organic pollution in water; a higher COD indicates a higher content of organic pollutants in the water. Ammonia nitrogen concentration in water sources refers to the concentration of free ammonia (NH3) and ammonium ions (NH4) in groundwater. + The concentration of nitrogen compounds existing in the form of nitrogen. Water turbidity refers to the turbidity of groundwater. A positioning unit is a device containing a GPS chip that can locate the latitude and longitude of a groundwater monitoring well in the real world.

[0128] S4. Based on the monitoring time interval and the pollution monitoring of multiple groundwater monitoring wells by the groundwater monitoring agency, multiple water quality data sets and multiple monitoring well coordinates are obtained, wherein the monitoring well coordinates and water quality data sets correspond one-to-one.

[0129] In detail, the method of obtaining multiple water quality data sets and multiple monitoring well coordinates based on monitoring time intervals and pollution monitoring of multiple groundwater monitoring wells by groundwater monitoring agencies includes:

[0130] The following operations shall be performed on each of the multiple groundwater monitoring wells:

[0131] The positioning unit in the groundwater monitoring agency is used to perform positioning operations on the groundwater monitoring well to obtain the coordinates of the monitoring well. The time interval is recorded in real time, starting from the time when the monitoring well coordinates are obtained, to obtain the comprehensive time interval.

[0132] Once the groundwater source in the groundwater monitoring well is identified, the waiting time interval is obtained by recording the time interval from the time the groundwater source in the monitoring well is identified.

[0133] The ambient temperature is obtained using an ambient thermometer in the groundwater monitoring agency, and the groundwater temperature is obtained by performing a detection operation on the groundwater source using a water thermometer in the groundwater monitoring agency. The geothermal difference is calculated based on the ambient temperature and the water temperature, where the geothermal difference is the absolute difference between the ambient temperature and the water temperature.

[0134] The COD sensor, ammonia nitrogen sensor and turbidity sensor in the water quality monitoring instrument are used to perform detection operations on the groundwater source to obtain the COD concentration, ammonia nitrogen concentration and turbidity of the water source.

[0135] The geothermal difference, water source COD concentration, water source ammonia nitrogen concentration, and water source turbidity are integrated into a water quality data package. The water quality data package is stored in a pre-built monitoring memory to obtain a target memory. When the waiting time interval is equal to the monitoring time interval, the target memory is used as the monitoring memory, and the step of confirming the groundwater source in the groundwater monitoring well is returned until the comprehensive time interval is greater than or equal to the preset standard time interval. The water quality data package set is then extracted from the target memory. The water quality data package set includes multiple water quality data packages.

[0136] The water quality data sets are aggregated to obtain multiple water quality data sets.

[0137] For example, if the groundwater monitoring well is located using a positioning unit, the longitude of the groundwater monitoring well in the real world is obtained as 113.492712 and the latitude as 23.270622, that is, the coordinates of the monitoring well are (113.492712, 23.270622). The technology of using a positioning unit to locate the groundwater monitoring well is existing technology and will not be described in detail here.

[0138] It should be explained that the ambient temperature is measured by placing the thermometer at the wellhead of the groundwater monitoring well; that is, the ambient temperature refers to the air temperature at the wellhead. The water temperature refers to the temperature of the groundwater source. Identifying the groundwater source in the monitoring well means extracting a certain mass of water from the well as the groundwater source.

[0139] For example, if the time when the monitoring well coordinates are obtained is 09:00:00, then starting from 09:00:00 and recording the time interval in real time, a comprehensive time interval is obtained. When 9:02:00, the comprehensive time interval is 2 minutes; when 9:04:00, the comprehensive time interval is 4 minutes. If the time when the groundwater source of the groundwater monitoring well is confirmed is 10:00:00, then starting from 10:00:00 and recording the time interval in real time, a waiting time interval is obtained. When 10:00:20, the waiting time interval is 20 seconds. After extracting groundwater from the groundwater monitoring well at 10:00:00, the groundwater source is immediately tested using a water thermometer and a water quality monitor. The test results are then integrated into a water quality data package and stored in the monitoring memory. If the monitoring time interval is 1 hour, at 11:00:00, the target memory is used as the monitoring memory, and the process returns to the step of confirming the groundwater source in the groundwater monitoring well. That is, at 11:00:00, a certain mass of water is extracted from the groundwater monitoring well again, and the process of immediately testing the groundwater source using a water thermometer and a water quality monitor is repeated until 12:00:00. The process then returns to the step of confirming the groundwater source in the groundwater monitoring well, and so on, until the comprehensive time interval is greater than or equal to the preset standard time interval. If the standard time interval is 12 hours, the cycle ends at 21:00:00, and the 12 stored water quality data packages are extracted from the target memory to obtain the water quality data package set.

[0140] It should be understood that the technology of using COD sensors, ammonia nitrogen sensors and turbidity sensors in a water quality monitoring instrument to perform detection operations on groundwater sources and obtain the COD concentration, ammonia nitrogen concentration and turbidity of the water source is existing technology and will not be described in detail here.

[0141] It should be explained that the water quality data package is a data package that stores information on geothermal difference, water source COD concentration, water source ammonia nitrogen concentration, and water source turbidity. Furthermore, the technology used to integrate geothermal difference, water source COD concentration, water source ammonia nitrogen concentration, and water source turbidity into a water quality data package is existing technology and will not be elaborated upon here. The monitoring memory is a memory capable of storing the water quality data package.

[0142] S5. Obtain the landfill coordinates, calculate the comprehensive pollution index using the landfill coordinates, multiple monitoring well coordinates, multiple water quality data sets, and landfill risk weights, and compare the comprehensive pollution index with the preset standard pollution threshold.

[0143] It should be explained that landfill coordinates refer to the latitude and longitude of the location where the landfill most recently disposed of waste. For example, when the Guangzhou Xingfeng landfill most recently disposed of waste using machinery, the positioning unit in the machinery located the landfill location at longitude 113.492823 and latitude 23.270177, that is, the landfill coordinates are (113.492823, 23.270177).

[0144] In detail, the comprehensive pollution index is calculated using landfill coordinates, coordinates of multiple monitoring wells, multiple water quality data sets, and landfill risk weights, including:

[0145] For each of the multiple water quality data sets, perform the following operations:

[0146] The fluctuation weight and geothermal weight are calculated based on multiple water quality data packets in the water quality data packet set, and the location weight is calculated based on the landfill coordinates and the coordinates of multiple monitoring wells that correspond to the water quality data packet set.

[0147] By summing the fluctuation weight, geothermal weight, and location weight, multiple fluctuation weights, multiple geothermal weights, and multiple location weights are obtained.

[0148] The comprehensive pollution index is calculated based on multiple fluctuation weights, multiple geothermal weights, multiple location weights, multiple water quality data sets, and landfill risk weights. The water quality data sets correspond one-to-one with the fluctuation weights, geothermal weights, and location weights.

[0149] It should be explained that since a fluctuation weight, a geothermal weight, and a location weight are obtained through a water quality data set, the water quality data set corresponds one-to-one with the fluctuation weight, the geothermal weight, and the location weight.

[0150] Specifically, the calculation of fluctuation weights and geothermal weights based on multiple water quality data packets in the water quality data packet set includes:

[0151] Multiple geothermal difference values, COD concentrations, ammonia nitrogen concentrations, and turbidity values ​​from multiple water quality data packets were extracted.

[0152] The variance of COD is calculated based on the COD concentration of multiple water sources, the variance of ammonia nitrogen is calculated based on the ammonia nitrogen concentration of multiple water sources, and the variance of turbidity is calculated based on the turbidity of multiple water sources. The variances of COD, ammonia nitrogen, and turbidity are respectively the variances of COD concentration, ammonia nitrogen concentration, and turbidity of multiple water sources.

[0153] The fluctuation weight is calculated based on the variances of COD, ammonia nitrogen, and turbidity, using the following formula:

[0154]

[0155] Where, α x For fluctuation weights, σ COD Let σ be the variance of COD. N Let σ be the variance of ammonia nitrogen. FTU This represents the turbidity variance.

[0156] Geothermal weight is calculated based on multiple geothermal differences, using the following formula:

[0157]

[0158] Where, β x For geothermal weights, m is the number of geothermal differences among multiple geothermal differences, and T is the geothermal weight. i Let be the i-th geothermal difference among multiple geothermal differences, and ln be the natural logarithm.

[0159] Understandably, since each water quality data package stores a geothermal difference, a COD concentration, a water source ammonia nitrogen concentration, and a water source turbidity, multiple geothermal differences, multiple water source COD concentrations, multiple water source ammonia nitrogen concentrations, and multiple water source turbidities can be extracted from multiple water quality data packages.

[0160] It should be understood that fluctuation weight reflects the stability of groundwater quality; the greater the fluctuation weight, the lower the stability of groundwater quality. Geothermal weight reflects the degree of temperature difference between groundwater and ambient temperature; the greater the geothermal weight, the greater the temperature difference between groundwater and ambient temperature.

[0161] Specifically, the calculation of location weights based on the coordinates of the landfill and the coordinates of multiple monitoring wells corresponding to the water quality data set includes:

[0162] Identify the landfill longitude and latitude of the landfill coordinates, and identify the monitoring well longitude and latitude of the monitoring well coordinates;

[0163] The location weight is calculated based on the landfill longitude, landfill latitude, monitoring well longitude, and monitoring well latitude. The calculation formula is as follows:

[0164]

[0165] Where, γ x For positional weights, EW x EW0 and SN represent the longitude of the monitoring well and the landfill, respectively. x SN0 and SN0 represent the latitude of the monitoring well and the landfill, respectively.

[0166] For example, if the landfill coordinates are (113.492823, 23.270177), the landfill longitude and latitude are 113.492823 and 23.270177, respectively. If the monitoring well coordinates are (113.492712, 23.270622), then the monitoring well longitude and latitude are 113.492712 and 23.270622, respectively.

[0167] It should be understood that the location weight reflects the distance between the landfill waste and the groundwater monitoring well. The greater the location weight, the farther the landfill waste is from the groundwater monitoring well.

[0168] In detail, the calculation of the comprehensive pollution index based on multiple fluctuation weights, multiple geothermal weights, multiple location weights, multiple water quality data sets, and landfill risk weights includes:

[0169] Perform the following operations on each of the multiple water quality data sets:

[0170] The mean values ​​of COD concentration, ammonia nitrogen concentration, and turbidity are calculated based on the COD concentration, ammonia nitrogen concentration, and turbidity of multiple water sources corresponding to the water quality data set. The mean COD concentration is the average of the COD concentration of multiple water sources, the mean ammonia nitrogen concentration is the average of the ammonia nitrogen concentration of multiple water sources, and the mean turbidity is the average of the turbidity of multiple water sources.

[0171] The average COD concentration, average ammonia nitrogen concentration, and average turbidity were summarized separately to obtain multiple average COD concentrations, multiple average ammonia nitrogen concentrations, and multiple average turbidity values. The water quality data set corresponds one-to-one with the average COD concentration, average ammonia nitrogen concentration, and average turbidity value.

[0172] The comprehensive pollution index is calculated based on landfill risk weights, multiple average COD concentrations, multiple average ammonia nitrogen concentrations, multiple average turbidity concentrations, multiple fluctuation weights, multiple geothermal weights, and multiple location weights. The calculation formula is shown below:

[0173]

[0174] Where, χ con The comprehensive pollution index is N, where N is the number of water quality data sets in the multiple water quality data set datasets, and α is the comprehensive pollution index. xi β xi and γ xi These are the fluctuation weight, geothermal weight, and location weight corresponding to the i-th water quality data set in multiple water quality data sets, among multiple fluctuation weights, multiple geothermal weights, and multiple location weights. and These are the average COD concentration, average ammonia nitrogen concentration, and average turbidity values ​​corresponding to the i-th water quality data set in multiple water quality data sets, respectively.

[0175] It should be understood that air temperature usually changes rapidly due to factors such as solar radiation and atmospheric circulation, while heat waves or cold waves on the ground cannot quickly penetrate to the deep soil layers. Therefore, underground temperature usually remains stable, resulting in a difference between air temperature and underground temperature. Ambient temperature refers to the air temperature at the wellhead of the groundwater monitoring well, while water temperature refers to the temperature of the groundwater in the monitoring well. Therefore, there is usually a difference between ambient temperature and water temperature. The greater the difference between water temperature and ambient temperature, the longer the groundwater has been affected by underground temperature, meaning the longer the groundwater has been flowing underground. The longer the groundwater has been flowing underground, the higher the amount of pollutants it can adsorb. Therefore, the greater the geothermal weight corresponding to the water quality data set, the higher the reference value of the average COD concentration, average ammonia nitrogen concentration, and average turbidity in the water quality data set when calculating the comprehensive pollution index. Because the closer the landfill site is to the groundwater monitoring well, the more susceptible the groundwater in the well is to contamination. Therefore, the location weight of the water quality data set is greater. In other words, the farther the landfill site is from the groundwater monitoring well, the lower the reference value of the average COD concentration, average ammonia nitrogen concentration, and average turbidity in the water quality data set when calculating the comprehensive pollution index. Conversely, if the stability of the groundwater quality is poor over a period of time—meaning the water quality changes more significantly during that period, and the likelihood of groundwater contamination is higher—the fluctuation weight of the water quality data set is greater. Therefore, the reference value of the average COD concentration, average ammonia nitrogen concentration, and average turbidity in the water quality data set is higher when calculating the comprehensive pollution index. The landfill risk weight reflects the risk of groundwater contamination caused by the landfill. Therefore, the comprehensive pollution index takes into account landfill risk weights, multiple average COD concentrations, multiple average ammonia nitrogen concentrations, multiple average turbidity values, multiple fluctuation weights, multiple geothermal weights, and multiple location weights to reflect the degree of pollution of groundwater by landfills. The higher the comprehensive pollution index, the higher the degree of pollution of groundwater by landfills.

[0176] S6. If the comprehensive pollution index is greater than or equal to the standard pollution threshold, the pre-built pollution warning signal will be sent to the pre-built risk management center; otherwise, the pre-built safety signal will be sent to the risk management center.

[0177] It should be explained that the standard pollution threshold is a value set manually by environmental monitoring personnel in the environmental monitoring department. Optionally, it can be set by referencing the average of multiple comprehensive pollution indices historically measured at the landfill. The risk management center is a computer within the environmental monitoring department used to receive pollution warning signals or safety signals.

[0178] For example, a pollution warning signal is a data packet storing a warning message, such as "groundwater is at risk of pollution," while a safety signal is a data packet storing a safety message, such as "groundwater condition is good." When the risk management center receives a pollution warning signal or a safety signal, it can parse the warning message or safety message from the signal and display it on the risk management center's screen.

[0179] S7. When the risk management center receives a pollution warning signal or safety signal, it completes the risk management of groundwater pollution.

[0180] For example, when the risk management center receives a pollution warning signal, it will display the text "(groundwater is at risk of pollution)" on the computer screen, thereby promptly alerting the monitoring personnel of the environmental monitoring department. The monitoring personnel will then supervise the landfill operators to inspect or repair the impermeable layer. When the risk management center receives a safety signal, it will display the text "(groundwater condition is good)" on the computer screen, allowing the monitoring personnel to confirm that the groundwater has not been polluted.

[0181] To address the problems described in the background section, this invention receives pollution control instructions, confirms the landfill and multiple groundwater monitoring wells based on these instructions, and obtains leachate samples, daily landfill volume, and multiple leachate composition reports. The leachate composition reports include: filtrate conductivity and pH value. Therefore, this invention provides crucial data support for subsequent assessment of landfill risk weights by obtaining leachate samples, daily landfill volume, and leachate composition reports, improving the accuracy of water pollution assessment and obtaining environmental data, including: average precipitation and maximum temperature. Based on the multiple leachate composition reports, the leachate... Chemical evaluation of leachate samples yields a leachate pollution index. Based on daily landfill volume, environmental data, and the leachate pollution index, landfill risk weights and monitoring time intervals are determined. This embodiment of the invention accurately assesses the pollution level of leachate from landfills through chemical evaluation of leachate samples. Simultaneously, environmental data helps determine the impact of the external environment on the spread of pollution from landfills, thereby improving the accuracy of groundwater pollution assessment. The groundwater monitoring institution includes: an environmental thermometer, a water body thermometer, a water quality monitoring instrument, and a positioning unit. The water quality monitoring instrument includes: a COD sensor, an ammonia nitrogen sensor, and a turbidity sensor. The invention utilizes sensors to monitor groundwater pollution in multiple wells over a monitoring time interval, obtaining multiple water quality data sets and well coordinates. Each well coordinate corresponds one-to-one with a water quality data set. This demonstrates that the invention improves the automation of groundwater pollution assessment by enabling real-time and automatic pollution monitoring of groundwater wells by groundwater monitoring agencies. Furthermore, it acquires landfill coordinates and calculates a comprehensive pollution index using these coordinates, multiple well coordinates, multiple water quality data sets, and landfill risk weights. The comprehensive pollution index is then compared to a preset standard pollution threshold. This demonstrates how the invention, by considering landfill coordinates and multiple monitoring data sets, effectively mitigates pollution risks. A comprehensive pollution index is calculated using well coordinates, multiple water quality data sets, and landfill risk weights. This quantifies the groundwater pollution situation and improves the accuracy of groundwater pollution assessment. If the comprehensive pollution index is greater than or equal to the standard pollution threshold, a pre-constructed pollution warning signal is sent to a pre-constructed risk management center; otherwise, a pre-constructed safety signal is sent to the risk management center. When the risk management center receives the pollution warning signal or safety signal, it completes the risk management of groundwater pollution. Therefore, this invention improves the timeliness and automation of groundwater pollution assessment by sending timely reminders to the risk management center through pollution warning signals or safety signals. Thus, this invention can improve the automation and accuracy of assessing groundwater pollution near landfills.

[0182] like Figure 2The diagram shown is a functional block diagram of a landfill groundwater pollution risk management system provided in an embodiment of the present invention.

[0183] The landfill groundwater pollution risk management system 100 of this invention can be installed in an electronic device. Depending on the functions implemented, the landfill groundwater pollution risk management system 100 may include a polluted filtrate analysis module 101, a groundwater pollution monitoring module 102, a pollution risk analysis module 103, and a warning signal sending module 104. The module described in this invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, and are stored in the memory of the electronic device.

[0184] The polluted leachate analysis module 101 is used to receive pollution control instructions, confirm the landfill and multiple groundwater monitoring wells based on the pollution control instructions, obtain leachate samples, daily landfill volume, and multiple leachate composition reports from the landfill, wherein the leachate composition reports include: leachate conductivity and leachate pH value, obtain environmental data, wherein the environmental data includes: average precipitation and maximum temperature, perform chemical evaluation on the leachate samples based on the multiple leachate composition reports to obtain the leachate pollution index, and confirm the landfill risk weight and monitoring time interval based on the daily landfill volume, environmental data, and leachate pollution index;

[0185] The underground pollution monitoring module 102 is used to identify the groundwater monitoring institution, which includes an environmental thermometer, a water body thermometer, a water quality monitor, and a positioning unit. The water quality monitor includes a COD sensor, an ammonia nitrogen sensor, and a turbidity sensor. Based on the monitoring time interval and the groundwater monitoring institution, multiple groundwater monitoring wells are monitored for pollution to obtain multiple water quality data sets and multiple monitoring well coordinates. The monitoring well coordinates and the water quality data sets correspond one-to-one.

[0186] The pollution risk analysis module 103 is used to obtain the landfill coordinates, calculate the comprehensive pollution index using the landfill coordinates, multiple monitoring well coordinates, multiple water quality data sets and landfill risk weights, and compare the comprehensive pollution index with the preset standard pollution threshold.

[0187] The warning signal sending module 104 is used to send a pre-built pollution warning signal to a pre-built risk management center if the comprehensive pollution index is greater than or equal to the standard pollution threshold, otherwise send a pre-built safety signal to the risk management center. When the risk management center receives the pollution warning signal or the safety signal, it completes the risk management of groundwater pollution.

[0188] In detail, the modules in the landfill groundwater pollution risk management system 100 described in this embodiment of the invention adopt the same characteristics as described above during use. Figure 1 The same technical means are used to manage groundwater pollution risks at landfill sites as described in the article, and can produce the same technical effects, so they will not be repeated here.

[0189] like Figure 3 The diagram shown is a structural schematic of an electronic device for implementing a method for controlling groundwater pollution risks in landfills, according to an embodiment of the present invention.

[0190] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and capable of running on the processor 10, such as a method program for controlling groundwater pollution risks at landfill sites.

[0191] The memory 11 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a portable hard drive. In other embodiments, the memory 11 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 1. Furthermore, the memory 11 includes both internal storage units and external storage devices of the electronic device 1. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as the code of a landfill groundwater pollution risk management method program, but also to temporarily store data that has been output or will be output.

[0192] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., a method for risk management of groundwater pollution in landfills) and calls data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0193] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0194] Figure 3 Only electronic devices with components are shown; those skilled in the art will understand that... Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0195] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0196] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

[0197] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired or wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device 1 and to display a visual user interface.

[0198] The landfill groundwater pollution risk management method program stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When run in the processor 10, it can achieve the following:

[0199] Receive pollution control instructions, confirm the landfill and multiple groundwater monitoring wells based on the pollution control instructions, and obtain leachate samples, daily landfill volume and multiple leachate composition reports from the landfill. The leachate composition reports include: filtrate conductivity and filtrate pH value.

[0200] Environmental data was acquired, including average precipitation and maximum temperature. Leachate samples were chemically evaluated based on multiple leachate composition reports to obtain the leachate pollution index. The landfill risk weight and monitoring time interval were determined based on the daily landfill volume, environmental data, and leachate pollution index.

[0201] The groundwater monitoring agency was identified. The groundwater monitoring agency includes: environmental thermometers, water body thermometers, water quality monitoring instruments and positioning units. The water quality monitoring instruments include: COD sensors, ammonia nitrogen sensors and turbidity sensors.

[0202] Based on the monitoring time interval and the pollution monitoring of multiple groundwater monitoring wells by groundwater monitoring agencies, multiple water quality data sets and multiple monitoring well coordinates are obtained, wherein the monitoring well coordinates and water quality data sets correspond one-to-one;

[0203] Obtain the landfill coordinates, calculate the comprehensive pollution index using the landfill coordinates, coordinates of multiple monitoring wells, multiple water quality data sets, and landfill risk weights, and compare the comprehensive pollution index with the preset standard pollution threshold.

[0204] If the comprehensive pollution index is greater than or equal to the standard pollution threshold, the pre-built pollution warning signal will be sent to the pre-built risk management center; otherwise, the pre-built safety signal will be sent to the risk management center.

[0205] When the risk management center receives a pollution warning signal or a safety signal, it completes the risk management of groundwater pollution.

[0206] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 3 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0207] Furthermore, if the modules / units integrated in the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0208] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following:

[0209] Receive pollution control instructions, confirm the landfill and multiple groundwater monitoring wells based on the pollution control instructions, and obtain leachate samples, daily landfill volume and multiple leachate composition reports from the landfill. The leachate composition reports include: filtrate conductivity and filtrate pH value.

[0210] Environmental data was acquired, including average precipitation and maximum temperature. Leachate samples were chemically evaluated based on multiple leachate composition reports to obtain the leachate pollution index. The landfill risk weight and monitoring time interval were determined based on the daily landfill volume, environmental data, and leachate pollution index.

[0211] The groundwater monitoring agency was identified. The groundwater monitoring agency includes: environmental thermometers, water body thermometers, water quality monitoring instruments and positioning units. The water quality monitoring instruments include: COD sensors, ammonia nitrogen sensors and turbidity sensors.

[0212] Based on the monitoring time interval and the pollution monitoring of multiple groundwater monitoring wells by groundwater monitoring agencies, multiple water quality data sets and multiple monitoring well coordinates are obtained, wherein the monitoring well coordinates and water quality data sets correspond one-to-one;

[0213] Obtain the landfill coordinates, calculate the comprehensive pollution index using the landfill coordinates, coordinates of multiple monitoring wells, multiple water quality data sets, and landfill risk weights, and compare the comprehensive pollution index with the preset standard pollution threshold.

[0214] If the comprehensive pollution index is greater than or equal to the standard pollution threshold, the pre-built pollution warning signal will be sent to the pre-built risk management center; otherwise, the pre-built safety signal will be sent to the risk management center.

[0215] When the risk management center receives a pollution warning signal or a safety signal, it completes the risk management of groundwater pollution.

[0216] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0217] The modules described as separate components may or may not be physically separate. The components shown as modules 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.

[0218] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0219] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0220] Finally, it should be noted that 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 preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for risk management of groundwater pollution at landfill sites, characterized in that, The method includes: Receive pollution control instructions, confirm the landfill and multiple groundwater monitoring wells based on the pollution control instructions, and obtain leachate samples, daily landfill volume and multiple leachate composition reports from the landfill. The leachate composition reports include: filtrate conductivity and filtrate pH value. Environmental data was acquired, including average precipitation and maximum temperature. Leachate samples were chemically evaluated based on multiple leachate composition reports to obtain the leachate pollution index. The landfill risk weight and monitoring time interval were determined based on the daily landfill volume, environmental data, and leachate pollution index. The groundwater monitoring agency was identified. The groundwater monitoring agency includes: environmental thermometers, water body thermometers, water quality monitoring instruments and positioning units. The water quality monitoring instruments include: COD sensors, ammonia nitrogen sensors and turbidity sensors. Based on the monitoring time interval and the pollution monitoring of multiple groundwater monitoring wells by groundwater monitoring agencies, multiple water quality data sets and multiple monitoring well coordinates are obtained, wherein the monitoring well coordinates and water quality data sets correspond one-to-one; Obtain landfill coordinates, and calculate a comprehensive pollution index using the landfill coordinates, multiple monitoring well coordinates, multiple water quality data sets, and landfill risk weights. The calculation of the comprehensive pollution index using the landfill coordinates, multiple monitoring well coordinates, multiple water quality data sets, and landfill risk weights includes: For each of the multiple water quality data sets, perform the following operations: Calculating fluctuation weights and geothermal weights based on multiple water quality data packets in a water quality data packet set, wherein the calculation of fluctuation weights and geothermal weights based on multiple water quality data packets in a water quality data packet set includes: Multiple geothermal difference values, COD concentrations, ammonia nitrogen concentrations, and turbidity values ​​from multiple water quality data packets were extracted. The variance of COD is calculated based on the COD concentration of multiple water sources, the variance of ammonia nitrogen is calculated based on the ammonia nitrogen concentration of multiple water sources, and the variance of turbidity is calculated based on the turbidity of multiple water sources. The variances of COD, ammonia nitrogen, and turbidity are respectively the variances of COD concentration, ammonia nitrogen concentration, and turbidity of multiple water sources. The fluctuation weight is calculated based on the variances of COD, ammonia nitrogen, and turbidity, using the following formula: in, For fluctuation weights, For COD variance, For the variance of ammonia nitrogen, Turbidity variance; Geothermal weight is calculated based on multiple geothermal differences, using the following formula: in, For geothermal weight, This represents the number of geothermal differences among multiple geothermal differences. The first of multiple geothermal differences Geothermal difference, It is the natural logarithm; The location weight is calculated based on the coordinates of the landfill and the coordinates of multiple monitoring wells corresponding to the water quality data set. This calculation of location weight includes: Identify the landfill longitude and latitude of the landfill coordinates, and identify the monitoring well longitude and latitude of the monitoring well coordinates; The location weight is calculated based on the landfill longitude, landfill latitude, monitoring well longitude, and monitoring well latitude. The calculation formula is as follows: in, For positional weights, and These are the longitudes of the monitoring well and the landfill. and These are the latitudes of the monitoring well and the landfill, respectively; By summing the fluctuation weight, geothermal weight, and location weight, multiple fluctuation weights, multiple geothermal weights, and multiple location weights are obtained. A comprehensive pollution index is calculated based on multiple fluctuation weights, multiple geothermal weights, multiple location weights, multiple water quality data sets, and landfill risk weights. Each water quality data set corresponds one-to-one with a fluctuation weight, geothermal weight, and location weight. The calculation of the comprehensive pollution index based on multiple fluctuation weights, multiple geothermal weights, multiple location weights, multiple water quality data sets, and landfill risk weights includes: Perform the following operations on each of the multiple water quality data sets: The mean values ​​of COD concentration, ammonia nitrogen concentration, and turbidity are calculated based on the COD concentration, ammonia nitrogen concentration, and turbidity of multiple water sources corresponding to the water quality data set. The mean COD concentration is the average of the COD concentration of multiple water sources, the mean ammonia nitrogen concentration is the average of the ammonia nitrogen concentration of multiple water sources, and the mean turbidity is the average of the turbidity of multiple water sources. The average COD concentration, average ammonia nitrogen concentration, and average turbidity were summarized separately to obtain multiple average COD concentrations, multiple average ammonia nitrogen concentrations, and multiple average turbidity values. The water quality data set corresponds one-to-one with the average COD concentration, average ammonia nitrogen concentration, and average turbidity value. The comprehensive pollution index is calculated based on landfill risk weights, multiple average COD concentrations, multiple average ammonia nitrogen concentrations, multiple average turbidity concentrations, multiple fluctuation weights, multiple geothermal weights, and multiple location weights. The calculation formula is shown below: in, The comprehensive pollution index, This refers to the number of water quality data sets in multiple water quality data sets. , and These are the weights for multiple fluctuations, multiple geothermal elements, and multiple locations, and are associated with the first water quality data set. The fluctuation weight, geothermal weight, and location weight corresponding to each water quality data set. , and These are the average COD concentration, average ammonia nitrogen concentration, and average turbidity values ​​from multiple water quality data sets. The average COD concentration, average ammonia nitrogen concentration, and average turbidity corresponding to each water quality data set; Compare the comprehensive pollution index with the preset standard pollution threshold; If the comprehensive pollution index is greater than or equal to the standard pollution threshold, the pre-built pollution warning signal will be sent to the pre-built risk management center; otherwise, the pre-built safety signal will be sent to the risk management center. When the risk management center receives a pollution warning signal or a safety signal, it completes the risk management of groundwater pollution.

2. The method for controlling groundwater pollution risks at landfill sites as described in claim 1, characterized in that, The process involves chemically evaluating leachate samples based on multiple leachate composition reports to obtain a leachate contamination index, including: The test pH value and test volume of the leachate sample are obtained, and the conductivity of the leachate sample is detected using a pre-constructed conductivity meter to obtain the test conductivity. The leachate sample was heated and boiled to obtain a primary leachate sample. The primary leachate sample was then filtered to obtain a secondary leachate sample. Acidification is performed on intermediate leachate samples, and the intermediate pH value of the intermediate leachate samples undergoing acidification is monitored in real time until the intermediate pH value reaches the preset acidification pH value, thus obtaining the acidified leachate sample. A solid-phase extraction column and an adsorption matrix were obtained, wherein the adsorption matrix included a chelating resin matrix and an activated carbon matrix. An activated carbon matrix is ​​placed in a solid-phase extraction column to obtain an activated carbon extraction column. The activated carbon extraction column is used to perform a filtration operation on the acidified filtrate sample to obtain an impurity-removed solution. A chelating resin matrix is ​​placed into a solid-phase extraction column to obtain a chelating extraction column. An acidification activation operation is performed on the chelating extraction column to obtain an activated extraction column. An extraction operation was performed on the impurity filtration solution using an activated extraction column to obtain a metal extraction column. The metal extraction column was then eluted using a pre-constructed EDTA solution to obtain a metal eluent. The metal elution solution is diluted to obtain a diluted metal solution, wherein the volume of the diluted metal solution is the test volume; Inductively coupled plasma mass spectrometry (ICP-MS) analysis of the diluted metal solution yielded the concentrations of lead ions, mercury ions, and chromium ions. The filtrate contamination index is calculated based on the test pH value, test conductivity, multiple leachate component reports, lead ion concentration, mercury ion concentration, and chromium ion concentration.

3. The method for controlling groundwater pollution risks at landfill sites as described in claim 2, characterized in that, The calculation of the filtrate contamination index based on test pH value, test conductivity, multiple leachate component reports, lead ion concentration, mercury ion concentration, and chromium ion concentration includes: in, The filtrate contamination index, The number of leachate component reports in multiple leachate component reports. and These are the first items in the multiple leachate component reports. The report includes the filtrate composition, filtrate conductivity, and filtrate pH value. To test the pH value, To test conductivity, , and These represent the concentrations of chromium ions, lead ions, and mercury ions, respectively. It is a natural constant. The preset standard pH value refers to taking the absolute value.

4. The method for controlling groundwater pollution risks at landfill sites as described in claim 3, characterized in that, The determination of landfill risk weights and monitoring time intervals based on daily landfill volume, environmental data, and filtrate contamination index includes: The landfill risk weight is calculated based on daily landfill volume, environmental data, and filtrate contamination index, using the following formula: in, To fill the risk weight, and These are the daily landfill volume and the preset standard landfill volume, respectively. This refers to the average precipitation in the environmental data. This is the highest temperature in the environmental data. It is the hyperbolic tangent function; The monitoring time interval is calculated based on the landfill risk weight, as shown in the following formula: in, For the monitoring time interval, The preset reference risk weights, This is the preset standard monitoring interval.

5. The method for controlling groundwater pollution risks at landfill sites as described in claim 4, characterized in that, The method, based on monitoring time intervals and pollution monitoring of multiple groundwater monitoring wells by groundwater monitoring agencies, yields multiple water quality data sets and multiple monitoring well coordinates, including: The following operations shall be performed on each of the multiple groundwater monitoring wells: The positioning unit in the groundwater monitoring agency is used to perform positioning operations on the groundwater monitoring well to obtain the coordinates of the monitoring well. The time interval is recorded in real time, starting from the time when the monitoring well coordinates are obtained, to obtain the comprehensive time interval. Once the groundwater source in the groundwater monitoring well is identified, the waiting time interval is obtained by recording the time interval from the time the groundwater source in the monitoring well is identified. The ambient temperature is obtained using an ambient thermometer in the groundwater monitoring agency, and the groundwater temperature is obtained by performing a detection operation on the groundwater source using a water thermometer in the groundwater monitoring agency. The geothermal difference is calculated based on the ambient temperature and the water temperature, where the geothermal difference is the absolute difference between the ambient temperature and the water temperature. The COD sensor, ammonia nitrogen sensor and turbidity sensor in the water quality monitoring instrument are used to perform detection operations on the groundwater source to obtain the COD concentration, ammonia nitrogen concentration and turbidity of the water source. Geothermal difference, water source COD concentration, water source ammonia nitrogen concentration, and water source turbidity are integrated into a water quality data package. The water quality data package is stored in a pre-built monitoring memory to obtain a target memory. When the waiting time interval is equal to the monitoring time interval, the target memory is used as the monitoring memory, and the step of confirming the groundwater source in the groundwater monitoring well is returned until the comprehensive time interval is greater than or equal to the preset standard time interval. The water quality data package set is then extracted from the target memory. The water quality data package set includes multiple water quality data packages. The water quality data sets are aggregated to obtain multiple water quality data sets.

6. A groundwater pollution risk management system for landfill sites, characterized in that, The system includes: Receive pollution control instructions, confirm the landfill and multiple groundwater monitoring wells based on the pollution control instructions, and obtain leachate samples, daily landfill volume and multiple leachate composition reports from the landfill. The leachate composition reports include: filtrate conductivity and filtrate pH value. Environmental data was acquired, including average precipitation and maximum temperature. Leachate samples were chemically evaluated based on multiple leachate composition reports to obtain the leachate pollution index. The landfill risk weight and monitoring time interval were determined based on the daily landfill volume, environmental data, and leachate pollution index. The groundwater monitoring agency was identified. The groundwater monitoring agency includes: environmental thermometers, water body thermometers, water quality monitoring instruments and positioning units. The water quality monitoring instruments include: COD sensors, ammonia nitrogen sensors and turbidity sensors. Based on the monitoring time interval and the pollution monitoring of multiple groundwater monitoring wells by groundwater monitoring agencies, multiple water quality data sets and multiple monitoring well coordinates are obtained, wherein the monitoring well coordinates and water quality data sets correspond one-to-one; Obtain landfill coordinates, and calculate a comprehensive pollution index using the landfill coordinates, multiple monitoring well coordinates, multiple water quality data sets, and landfill risk weights. The calculation of the comprehensive pollution index using the landfill coordinates, multiple monitoring well coordinates, multiple water quality data sets, and landfill risk weights includes: For each of the multiple water quality data sets, perform the following operations: Calculating fluctuation weights and geothermal weights based on multiple water quality data packets in a water quality data packet set, wherein the calculation of fluctuation weights and geothermal weights based on multiple water quality data packets in a water quality data packet set includes: Multiple geothermal difference values, COD concentrations, ammonia nitrogen concentrations, and turbidity values ​​from multiple water quality data packets were extracted. The variance of COD is calculated based on the COD concentration of multiple water sources, the variance of ammonia nitrogen is calculated based on the ammonia nitrogen concentration of multiple water sources, and the variance of turbidity is calculated based on the turbidity of multiple water sources. The variances of COD, ammonia nitrogen, and turbidity are respectively the variances of COD concentration, ammonia nitrogen concentration, and turbidity of multiple water sources. The fluctuation weight is calculated based on the variances of COD, ammonia nitrogen, and turbidity, using the following formula: in, For fluctuation weights, For COD variance, For the variance of ammonia nitrogen, Turbidity variance; Geothermal weight is calculated based on multiple geothermal differences, using the following formula: in, For geothermal weight, This represents the number of geothermal differences among multiple geothermal differences. The first of multiple geothermal differences Geothermal difference, It is the natural logarithm; The location weight is calculated based on the coordinates of the landfill and the coordinates of multiple monitoring wells corresponding to the water quality data set. This calculation of location weight includes: Identify the landfill longitude and latitude of the landfill coordinates, and identify the monitoring well longitude and latitude of the monitoring well coordinates; The location weight is calculated based on the landfill longitude, landfill latitude, monitoring well longitude, and monitoring well latitude. The calculation formula is as follows: in, For positional weights, and These are the longitudes of the monitoring well and the landfill. and These are the latitudes of the monitoring well and the landfill, respectively; By summing the fluctuation weight, geothermal weight, and location weight, multiple fluctuation weights, multiple geothermal weights, and multiple location weights are obtained. A comprehensive pollution index is calculated based on multiple fluctuation weights, multiple geothermal weights, multiple location weights, multiple water quality data sets, and landfill risk weights. Each water quality data set corresponds one-to-one with a fluctuation weight, geothermal weight, and location weight. The calculation of the comprehensive pollution index based on multiple fluctuation weights, multiple geothermal weights, multiple location weights, multiple water quality data sets, and landfill risk weights includes: Perform the following operations on each of the multiple water quality data sets: The mean values ​​of COD concentration, ammonia nitrogen concentration, and turbidity are calculated based on the COD concentration, ammonia nitrogen concentration, and turbidity of multiple water sources corresponding to the water quality data set. The mean COD concentration is the average of the COD concentration of multiple water sources, the mean ammonia nitrogen concentration is the average of the ammonia nitrogen concentration of multiple water sources, and the mean turbidity is the average of the turbidity of multiple water sources. The average COD concentration, average ammonia nitrogen concentration, and average turbidity were summarized separately to obtain multiple average COD concentrations, multiple average ammonia nitrogen concentrations, and multiple average turbidity values. The water quality data set corresponds one-to-one with the average COD concentration, average ammonia nitrogen concentration, and average turbidity value. The comprehensive pollution index is calculated based on landfill risk weights, multiple average COD concentrations, multiple average ammonia nitrogen concentrations, multiple average turbidity concentrations, multiple fluctuation weights, multiple geothermal weights, and multiple location weights. The calculation formula is shown below: in, The comprehensive pollution index, This refers to the number of water quality data sets in multiple water quality data sets. , and These are the weights for multiple fluctuations, multiple geothermal elements, and multiple locations, and are associated with the first water quality data set. The fluctuation weight, geothermal weight, and location weight corresponding to each water quality data set. , and These are the average COD concentration, average ammonia nitrogen concentration, and average turbidity values ​​from multiple water quality data sets. The average COD concentration, average ammonia nitrogen concentration, and average turbidity corresponding to each water quality data set; Compare the comprehensive pollution index with the preset standard pollution threshold; If the comprehensive pollution index is greater than or equal to the standard pollution threshold, the pre-built pollution warning signal will be sent to the pre-built risk management center; otherwise, the pre-built safety signal will be sent to the risk management center. When the risk management center receives a pollution warning signal or a safety signal, it completes the risk management of groundwater pollution.

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