Method and system for managing and controlling underground water pollution risk of refuse landfill

Abstract

The invention relates to the field of environmental engineering, in particular to a refuse landfill groundwater pollution risk management and control method and system, and the method comprises the steps: obtaining a leachate sample, a single-day landfill amount and a plurality of leachate component reports of a refuse landfill, obtaining environmental data, carrying out the chemical evaluation of the leachate sample according to the plurality of leachate component reports, and obtaining a filtrate pollution index, determining an underground water monitoring mechanism, performing pollution monitoring on the plurality of underground water monitoring wells based on the monitoring time interval and the underground water monitoring mechanism to obtain a plurality of water quality data packet sets and a plurality of monitoring well coordinates, and obtaining garbage landfill coordinates; and calculating a comprehensive pollution index by using the garbage landfill coordinates, the plurality of monitoring well coordinates, the plurality of water quality data packet sets and the landfill risk weight, and completing the risk management and control of groundwater pollution when the risk management and control center receives a pollution warning signal or a safety signal. According to the invention, the automation degree and the accuracy of evaluating the underground water pollution condition near the refuse landfill can be improved.

Description

Technical Field

[0001] The present invention relates to the field of environmental engineering, and in particular to a method, system, electronic equipment and computer-readable storage medium for controlling groundwater pollution risks in a landfill. Background Art

[0002] With the increasing amount and types of modern garbage, 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 problem to be solved.

[0003] Existing groundwater pollution control methods mostly rely on regular analysis of groundwater quality through manual sampling or setting up water quality monitors at fixed locations to assess the contamination of groundwater near landfills.

[0004] Although existing groundwater pollution control methods can evaluate the groundwater pollution near landfills, the data obtained by manual sampling and water quality testing instruments need to be further analyzed manually, and this manual analysis method is often uncertain and time-consuming. At the same time, when evaluating groundwater pollution, the local environmental conditions and landfill conditions are not taken into account, which will also lead to inaccurate final evaluation results. Therefore, a more intelligent and accurate groundwater pollution control method is urgently needed. Summary of the invention

[0005] The present invention provides a method for controlling groundwater pollution risk in a landfill and a computer-readable storage medium, the main purpose of which is to improve the automation and accuracy of evaluating groundwater pollution near a landfill.

[0006] To achieve the above-mentioned purpose, the present invention provides a method for controlling groundwater pollution risk in a landfill, comprising:

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

[0008] Obtain environmental data, including average precipitation and maximum temperature, chemically evaluate leachate samples based on multiple leachate composition reports to obtain a filtrate contamination index, and determine landfill risk weights and monitoring intervals based on daily landfill volume, environmental data, and the filtrate contamination index;

[0009] Confirm the groundwater monitoring mechanism, where the groundwater monitoring mechanism includes: environmental thermometer, water body thermometer, water quality monitor and positioning unit, where the water quality monitor includes: COD sensor, ammonia nitrogen sensor and turbidity sensor;

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

[0011] Obtaining the coordinates of the landfill, calculating a comprehensive pollution index using the coordinates of the landfill, the coordinates of multiple monitoring wells, multiple water quality data sets and landfill risk weights, and comparing the comprehensive pollution index with a 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 is sent to the pre-built risk control center, otherwise the pre-built safety signal is sent to the risk control center;

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

[0014] Optionally, the chemical evaluation of the leachate sample according to the multiple leachate composition reports to obtain the filtrate pollution index includes:

[0015] Obtaining a test pH value and a test volume of the leachate sample, and performing conductivity detection on the leachate sample using a pre-built conductivity meter to obtain a test conductivity;

[0016] The leachate sample is heated and boiled to obtain a primary leachate sample, and the primary leachate sample is filtered to obtain an intermediate leachate sample;

[0017] Performing an acidification operation on the intermediate leachate sample, and monitoring the intermediate pH value of the intermediate leachate sample undergoing the acidification operation in real time until the intermediate pH value reaches a preset acidification pH value, thereby obtaining an acidified filtrate sample;

[0018] Obtaining a solid phase extraction column and an adsorption matrix, wherein the adsorption matrix includes: a chelating resin matrix and an activated carbon matrix;

[0019] Placing an activated carbon matrix into a solid phase extraction column to obtain an activated carbon extraction column, and using the activated carbon extraction column to perform a filtration operation on the acidified filtrate sample to obtain an impurity filtration solution;

[0020] Placing a chelating resin matrix into a solid phase extraction column to obtain a chelating extraction column, and performing an acidification activation operation on the chelating extraction column to obtain an activated extraction column;

[0021] Using an activated extraction column to perform an extraction operation on the impurity removal solution to obtain a metal extraction column, and using a pre-constructed EDTA solution to perform an elution operation on the metal extraction column to obtain a metal elution solution;

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

[0023] Conducting plasma mass spectrometry analysis on the diluted metal solution to obtain the concentration 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 composition reports, lead ion concentration, mercury ion concentration and chromium ion concentration.

[0025] Optionally, the filtrate pollution index is calculated based on the test pH value, the test conductivity, multiple leachate composition reports, the lead ion concentration, the mercury ion concentration and the chromium ion concentration, including:

[0026]

[0027] Among them, θ con is the filtrate pollution index, n is the number of leachate component reports in multiple leachate component reports, PH i and i are the filtrate conductivity and filtrate pH value of the i-th leachate component report in multiple leachate component reports, respectively. x To test the pH value, ρ x To test the conductivity, C Cr , C Pb and C Hg are the concentrations of chromium ions, lead ions and mercury ions respectively, e is a natural constant, PH0 is the preset standard pH value, and || refers to the absolute value.

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

[0029] The landfill risk weight is calculated based on the daily landfill volume, environmental data and filtrate pollution index. The calculation formula is as follows:

[0030]

[0031] in, is the landfill risk weight, M x and M0 are the daily landfill volume and the preset standard landfill volume respectively. is the average precipitation in the environmental data, T max is 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. The calculation formula is as follows:

[0033]

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

[0035] Optionally, the pollution monitoring of multiple groundwater monitoring wells based on the monitoring time interval and the groundwater monitoring agency to obtain multiple water quality data sets and multiple monitoring well coordinates includes:

[0036] The following operations are performed for each of the multiple groundwater monitoring wells:

[0037] Using the positioning unit in the groundwater monitoring mechanism to perform positioning operations on the groundwater monitoring well, obtaining the coordinates of the monitoring well, taking the time when the coordinates of the monitoring well are obtained as the starting point and recording the time interval in real time, to obtain the comprehensive time interval;

[0038] Confirm the groundwater source in the groundwater monitoring well, take the time when the groundwater source in the groundwater monitoring well is confirmed as the starting point and record the time interval in real time to obtain the waiting time interval;

[0039] Using an environmental thermometer in a groundwater monitoring mechanism to obtain the ambient temperature, using a water body thermometer in the groundwater monitoring mechanism to perform a detection operation on the groundwater source to obtain the water body temperature, and calculating the geothermal difference according to the ambient temperature and the water body temperature, wherein the geothermal difference is the absolute difference between the ambient temperature and the water body temperature;

[0040] The COD sensor, ammonia nitrogen sensor and turbidity sensor in the water quality monitor 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] Integrate the geothermal difference, water source COD concentration, water source ammonia nitrogen concentration and water source turbidity into a water quality data packet, store the water quality data packet in a pre-constructed monitoring memory, obtain a target memory, and when the waiting time interval is equal to the monitoring time interval, use the target memory as the monitoring memory, return to the step of confirming the groundwater source in the groundwater monitoring well, until the comprehensive time interval is greater than or equal to the preset standard time interval, and extract a water quality data packet set from the target memory, wherein the water quality data packet set includes: multiple water quality data packets;

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

[0043] Optionally, the calculating of the comprehensive pollution index using the landfill coordinates, the coordinates of the plurality of monitoring wells, the plurality of water quality data sets and the landfill risk weights includes:

[0044] The following operations are performed on each of the multiple water quality data sets:

[0045] Calculate the fluctuation weight and the geothermal weight according to the multiple water quality data packets in the water quality data packet set, and calculate the position weight according to the landfill coordinates and the monitoring well coordinates corresponding to the water quality data packet set among the multiple monitoring well coordinates;

[0046] The fluctuation weights, geothermal weights and location weights are summarized respectively to obtain a plurality of fluctuation weights, a plurality of geothermal weights and a plurality of location weights;

[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, wherein the water quality data set has one-to-one correspondence with the fluctuation weights, geothermal weights and location weights.

[0048] Optionally, the calculating the fluctuation weight and the geothermal weight according to the plurality of water quality data packets in the water quality data packet set includes:

[0049] Extract multiple geothermal differences, multiple water source COD concentrations, multiple water source ammonia nitrogen concentrations, and multiple water source turbidity from multiple water quality data packets;

[0050] The COD variance is calculated according to the COD concentrations of multiple water sources, the ammonia nitrogen variance is calculated according to the ammonia nitrogen concentrations of multiple water sources, and the turbidity variance is calculated according to the turbidity of multiple water sources, wherein the COD variance, the ammonia nitrogen variance and the turbidity variance are the variances of the COD concentrations of multiple water sources, the variances of the ammonia nitrogen concentrations of multiple water sources and the variances of the turbidity of multiple water sources respectively;

[0051] The fluctuation weight is calculated based on the COD variance, ammonia nitrogen variance and turbidity variance. The calculation formula is as follows:

[0052]

[0053] Among them, α x is the volatility weight, σ COD is the COD variance, σ N is the variance of ammonia nitrogen, σ FTU is the turbidity variance;

[0054] The geothermal weight is calculated based on multiple geothermal differences. The calculation formula is as follows:

[0055]

[0056] Among them, β x is the geothermal weight, m ​​is the number of geothermal differences in multiple geothermal differences, Ti is the i-th geothermal difference among multiple geothermal differences, and ln is the natural logarithm.

[0057] Optionally, the calculating the position weight according to the landfill coordinates and the monitoring well coordinates corresponding to the water quality data packet set among the plurality of 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] Among them, γ x is the position weight, EW x and EW0 are the longitudes of the monitoring well and the landfill respectively, SN x and SN0 are the latitude of the monitoring well and the landfill latitude, respectively.

[0062] Optionally, the calculating of the comprehensive pollution index according to a plurality of fluctuation weights, a plurality of geothermal weights, a plurality of location weights, a plurality of water quality data sets and a landfill risk weight comprises:

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

[0064] Calculate the average COD concentration, the average ammonia nitrogen concentration and the average turbidity according to the multiple water source COD concentrations, the multiple water source ammonia nitrogen concentrations and the multiple water source turbidities corresponding to the water quality data set, wherein the average COD concentration is the average value of the COD concentrations of the multiple water sources, the average ammonia nitrogen concentration is the average value of the ammonia nitrogen concentrations of the multiple water sources, and the average turbidity is the average value of the turbidities of the multiple water sources;

[0065] The COD concentration mean, the ammonia nitrogen concentration mean and the turbidity mean are summarized respectively to obtain multiple COD concentration mean, multiple ammonia nitrogen concentration mean and multiple turbidity mean, wherein the water quality data set corresponds to the COD concentration mean, the ammonia nitrogen concentration mean and the turbidity mean one by one;

[0066] The comprehensive pollution index is calculated based on the landfill risk weight, multiple COD concentration averages, multiple ammonia nitrogen concentration averages, multiple turbidity averages, multiple fluctuation weights, multiple geothermal weights and multiple location weights. The calculation formula is as follows:

[0067]

[0068] Among them, χ con is the comprehensive pollution index, N is the number of water quality data sets in multiple water quality data sets, αxi , β xi and γ xi are respectively the fluctuation weight, the geothermal weight and the location weight corresponding to the i-th water quality data packet set in the multiple water quality data packet sets among the multiple fluctuation weights, the multiple geothermal weights and the multiple location weights, and They are respectively the COD concentration mean, the ammonia nitrogen concentration mean and the turbidity mean corresponding to the ith water quality data packet set among multiple COD concentration mean values, multiple ammonia nitrogen concentration mean values ​​and multiple turbidity mean values.

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

[0070] A contaminated filtrate analysis module is used to receive pollution control instructions, confirm the landfill and multiple groundwater monitoring wells based on the pollution control instructions, obtain leachate samples of the landfill, a single-day landfill volume and multiple leachate composition reports, wherein the leachate composition report includes: filtrate conductivity and filtrate pH value, obtain environmental data, wherein the environmental data includes: average precipitation and maximum temperature, perform chemical evaluation on the leachate sample according to multiple leachate composition reports, obtain the filtrate pollution index, and confirm the landfill risk weight and monitoring time interval according to the single-day landfill volume, environmental data and filtrate pollution index;

[0071] An underground pollution monitoring module is used to confirm a groundwater monitoring agency, wherein the groundwater monitoring agency includes: an environmental thermometer, a water body thermometer, a water quality monitor and a positioning unit, wherein the water quality monitor includes: a COD sensor, an ammonia nitrogen sensor and a turbidity sensor, and performs pollution monitoring on multiple groundwater monitoring wells based on a monitoring time interval and a groundwater monitoring agency, and obtains multiple water quality data sets and multiple monitoring well coordinates, wherein the monitoring well coordinates correspond to the water quality data set;

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

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

[0074] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0075] a memory storing at least one instruction; and

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

[0077] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned landfill groundwater pollution risk management method.

[0078] The present invention is to solve the problem described in the background technology. The present invention receives pollution control instructions, confirms a landfill and multiple groundwater monitoring wells based on the pollution control instructions, obtains leachate samples, daily landfill volume and multiple leachate composition reports of the landfill, wherein the leachate composition report includes: filtrate conductivity and filtrate pH value. It can be seen that the embodiment of the present invention provides important data support for the subsequent assessment of landfill risk weights by obtaining leachate samples, daily landfill volume and leachate composition reports, improves the accuracy of water pollution assessment, and further obtains environmental data, wherein the environmental data includes: average precipitation and maximum temperature, and the leachate composition report is used to evaluate the landfill risk weight. The leachate samples are chemically evaluated to obtain the filtrate pollution index, and the landfill risk weight and monitoring time interval are confirmed according to the single-day landfill volume, environmental data and the filtrate pollution index. It can be seen that the embodiment of the present invention accurately evaluates the pollution degree of the leachate generated by the landfill by chemically evaluating the leachate samples. At the same time, the environmental data is helpful to judge the impact of the external environment on the pollution diffusion of the landfill, thereby improving the accuracy of the assessment of groundwater pollution and confirming the groundwater monitoring mechanism, wherein the groundwater monitoring mechanism includes: an environmental thermometer, a water body thermometer, a water quality monitor and a positioning unit, wherein the water quality monitor includes: a COD sensor, an ammonia nitrogen sensor and a turbidity sensor. The sensor performs pollution monitoring on multiple groundwater monitoring wells based on the monitoring time interval and the groundwater monitoring mechanism, and obtains multiple water quality data sets and multiple monitoring well coordinates, wherein the monitoring well coordinates and the water quality data sets correspond to each other one by one. It can be seen that the embodiment of the present invention uses the groundwater monitoring mechanism to perform pollution monitoring on the groundwater monitoring wells in real time and automatically, thereby improving the degree of automation in assessing the groundwater pollution situation, obtaining the coordinates of the landfill, using the coordinates of the landfill, the coordinates of the multiple monitoring wells, the multiple water quality data sets and the landfill risk weight to calculate the comprehensive pollution index, and comparing the comprehensive pollution index with the preset standard pollution threshold. It can be seen that the embodiment of the present invention takes into account the coordinates of the landfill, the multiple monitoring wells, the multiple water quality data sets and the landfill risk weight. The well coordinates, multiple water quality data sets and landfill risk weights are used to calculate the comprehensive pollution index, quantify the groundwater pollution situation, and improve the accuracy of the groundwater pollution assessment. If the comprehensive pollution index is greater than or equal to the standard pollution threshold, the pre-constructed pollution warning signal is sent to the pre-constructed risk control center, otherwise the pre-constructed safety signal is sent to the risk control center. When the risk control center receives the pollution warning signal or safety signal, the risk control of groundwater pollution is completed. It can be seen that the embodiment of the present invention sends a pollution warning signal or a safety signal to the risk control center in time, thereby improving the timeliness and automation of the assessment of groundwater pollution. Therefore, the present invention can improve the automation and accuracy of the assessment of groundwater pollution near the landfill. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Figure 1A schematic diagram of a process for controlling groundwater pollution risk in a landfill provided by an embodiment of the present invention;

[0080] Figure 2 A functional module diagram of a landfill groundwater pollution risk management and control system provided by an embodiment of the present invention;

[0081] Figure 3 A schematic diagram of the structure of an electronic device for implementing the landfill groundwater pollution risk management method provided by an embodiment of the present invention.

[0082] Description of reference numerals:

[0083] 1. Electronic device; 10. Processor; 11. Memory; 12. Bus.

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

[0085] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0086] The embodiment of the present application provides a method for controlling groundwater pollution risk in a landfill. The execution subject of the method for controlling groundwater pollution risk in a landfill includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for controlling groundwater pollution risk in a landfill can be executed by software or hardware installed in 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, etc.

[0087] Reference Figure 1 FIG. 1 is a flow chart of a method for controlling groundwater pollution risk in a landfill provided by an embodiment of the present invention. In this embodiment, the method for controlling groundwater pollution risk in a landfill includes:

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

[0089] It should be explained that pollution control orders are generally initiated by environmental monitoring personnel at landfill sites. For example, after garbage is buried in a landfill, during the natural degradation process of the garbage, some organic and inorganic matter in the garbage will dissolve into the accumulated water or rainwater in the landfill to generate a highly polluting liquid. The liquid is leachate, and the leachate will gradually flow downward under the action of gravity. In order to prevent the leachate from flowing into the ground and polluting the groundwater, the landfill usually lays an impermeable layer at the bottom of the landfill and collects the leachate by laying pipes to prevent the leachate from flowing into the ground. However, during the operation of the landfill, the impermeable layer may be damaged due to environmental influences or human errors. Therefore, there are usually environmental monitoring departments and monitoring wells near the landfill. The environmental monitoring department monitors the groundwater in the monitoring wells to assess whether the groundwater is polluted, thereby promptly reminding the landfill operators to check or repair the impermeable layer. The environmental monitoring personnel are the personnel in the environmental monitoring department who are responsible for monitoring groundwater pollution. At regular intervals, the environmental monitoring personnel will initiate the pollution control instructions to conduct pollution risk control on the groundwater near the landfill. The leachate sample of a landfill is a certain mass of leachate collected through pipes in the most recent landfill operation. The environmental monitoring department is responsible for monitoring the environmental pollution caused by landfills. The daily landfill volume refers to the total mass of garbage landfilled in the landfill in the most recent day.

[0090] It is understandable that after collecting leachate every day, the landfill usually conducts preliminary testing on the leachate to evaluate the contamination of the leachate. The multiple leachate composition reports are reports generated by the landfill when conducting preliminary testing on the leachate in history, and the filtrate conductivity is the conductivity of the leachate recorded in the leachate composition report, and the filtrate pH value is the pH value of the leachate recorded in the leachate composition report. In the embodiment of the present invention, all pH values ​​are pH values ​​at 25 degrees Celsius.

[0091] It should be understood that an environmental monitoring department usually monitors multiple nearby landfills, and the pollution control directive contains the information or number of the landfill that needs to be monitored. Therefore, the landfill corresponding to the pollution control directive can be confirmed through the pollution control directive, and a landfill will correspond to multiple monitoring wells for monitoring the groundwater pollution of the landfill. Therefore, the pollution control directive also confirms the multiple groundwater monitoring wells corresponding to the landfill. Groundwater monitoring wells are wells used to monitor groundwater near landfills, and the groundwater monitoring wells are pre-constructed at the beginning of the establishment of the landfill.

[0092] S2. Obtain environmental data, including average precipitation and maximum temperature. Conduct chemical evaluation on leachate samples based on multiple leachate composition reports to obtain a filtrate pollution index. Confirm the landfill risk weight and monitoring time interval based on the daily landfill volume, environmental data and filtrate 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 precipitation in the area where the landfill is located in the past 7 days. Maximum temperature refers to the highest temperature in the area where the landfill is located in the past 7 days.

[0094] In detail, the leachate sample is chemically evaluated according to a plurality of leachate composition reports to obtain a filtrate pollution index, including:

[0095] Obtaining a test pH value and a test volume of the leachate sample, and performing conductivity detection on the leachate sample using a pre-built conductivity meter to obtain a test conductivity;

[0096] The leachate sample is heated and boiled to obtain a primary leachate sample, and the primary leachate sample is filtered to obtain an intermediate leachate sample;

[0097] Performing an acidification operation on the intermediate leachate sample, and monitoring the intermediate pH value of the intermediate leachate sample undergoing the acidification operation in real time until the intermediate pH value reaches a preset acidification pH value, thereby obtaining an acidified filtrate sample;

[0098] Obtaining a solid phase extraction column and an adsorption matrix, wherein the adsorption matrix includes: a chelating resin matrix and an activated carbon matrix;

[0099] Placing an activated carbon matrix into a solid phase extraction column to obtain an activated carbon extraction column, and using the activated carbon extraction column to perform a filtration operation on the acidified filtrate sample to obtain an impurity filtration solution;

[0100] Placing a chelating resin matrix into a solid phase extraction column to obtain a chelating extraction column, and performing an acidification activation operation on the chelating extraction column to obtain an activated extraction column;

[0101] Using an activated extraction column to perform an extraction operation on the impurity removal solution to obtain a metal extraction column, and using a pre-constructed EDTA solution to perform an elution operation on the metal extraction column to obtain a metal elution solution;

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

[0103] Conducting plasma mass spectrometry analysis on the diluted metal solution to obtain the concentration 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 composition reports, lead ion concentration, mercury ion concentration and chromium ion concentration.

[0105] It should be explained that the test volume refers to the volume of the leachate sample, and the test pH value refers to the pH value of the leachate sample. The conductivity meter is an instrument that can measure the conductivity of the leachate sample. The test conductivity refers to the conductivity of the leachate sample.

[0106] It should be understood that the heating and boiling of the leachate sample refers to: heating the leachate sample to 100 degrees Celsius and maintaining it at 100 degrees Celsius for a period of time and then cooling it to room temperature. Performing a filtering operation on the primary leachate sample refers to: filtering the primary leachate sample using a filter membrane with a certain pore size, preferably, the pore size of the filter membrane is 0.45μm. Performing an acidification operation on the intermediate leachate sample refers to: adding dilute hydrochloric acid or dilute nitric acid to the leachate sample. Exemplarily, a certain concentration of dilute nitric acid is slowly titrated into the intermediate leachate sample, and constantly stirred. At the same time, during the stirring process, a pH meter is used to measure the pH value of the intermediate leachate sample in real time until the pH value of the intermediate leachate sample reaches 3, and an acidified filtrate sample is obtained. Diluting the metal elution solution refers to: adding a certain mass of pure water to the metal elution solution until the volume of the metal elution solution reaches the test volume.

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

[0108] Exemplarily, an activated carbon matrix is ​​filled into a solid phase extraction column to obtain an activated carbon extraction column, and an acidified filtrate sample is slowly poured into the activated carbon extraction column, and the solution after passing through the activated carbon extraction column is collected to obtain an impurity filtration solution, and then a new solid phase extraction column is reused, and a chelating resin matrix is ​​filled into the solid phase extraction column to obtain a chelating extraction column. The acidification activation operation for the chelating extraction column refers to slowly pouring a hydrochloric acid solution of a certain concentration into the chelating extraction column, and after the hydrochloric acid solution completely passes through and flows out of the chelating extraction column, the chelating extraction column washed with hydrochloric acid is used as an activation agent. The activated extraction column is then slowly poured into the impurity removal solution. After the impurity removal solution completely passes through and flows out of the activated extraction column, the activated extraction column after the impurity removal solution passes through is used as a metal extraction column. At this time, the chelating resin matrix in the metal extraction column has adsorbed part of the metal ions in the impurity removal solution. Then the EDTA solution is slowly poured into the metal extraction column, and the metal ions adsorbed on the metal extraction column are separated by the complexation of the EDTA solution on the metal ions. The EDTA solution after flowing out of the metal extraction column is used as a metal elution solution. EDTA solution refers to a certain concentration of ethylenediaminetetraacetic acid solution.

[0109] It can be understood that the plasma mass spectrometry analysis of the diluted metal solution to obtain the lead ion concentration, mercury ion concentration and chromium ion concentration refers to the use of inductively coupled plasma mass spectrometry to detect the lead ion concentration, mercury ion concentration and chromium ion concentration in the diluted metal solution, and the technology of using inductively coupled plasma mass spectrometry to detect the lead ion concentration, mercury ion concentration and chromium ion concentration in the diluted metal solution is existing technology and will not be repeated here.

[0110] In detail, the filtrate pollution index is calculated based on the test pH value, the test conductivity, multiple leachate composition reports, lead ion concentration, mercury ion concentration and chromium ion concentration, including:

[0111]

[0112] Among them, θ con is the filtrate pollution index, n is the number of leachate component reports in multiple leachate component reports, PH i and i are the filtrate conductivity and filtrate pH value of the i-th leachate component report in multiple leachate component reports, respectively. x To test the pH value, ρ x To test the conductivity, C Cr , C Pb and C Hg are the concentrations of chromium ions, lead ions and mercury ions respectively, e is a natural constant, PH0 is the preset standard pH value, and | | refers to the absolute value.

[0113] Optionally, the standard pH is 7.

[0114] It should be understood that the filtrate pollution index reflects the pollutancy of the leachate sample. The larger the filtrate pollution index, the more pollutant the leachate sample is.

[0115] In detail, the determination of landfill risk weight and monitoring time interval based on daily landfill volume, environmental data and filtrate pollution index includes:

[0116] The landfill risk weight is calculated based on the daily landfill volume, environmental data and filtrate pollution index. The calculation formula is as follows:

[0117]

[0118] in, is the landfill risk weight, M x and M0 are the daily landfill volume and the preset standard landfill volume respectively. is the average precipitation in the environmental data, T max is 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. The calculation formula is as follows:

[0120]

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

[0122] Alternatively, the average value of the mass of garbage landfilled daily in the landfill in history is taken as the standard landfill amount.

[0123] It should be understood that since part of the water in the leachate comes from rainwater, when the average precipitation increases, the leachate will also increase, and the possibility of leachate leakage will be higher. The natural degradation rate of garbage will be affected by the maximum temperature. The higher the maximum temperature, the faster the natural degradation rate of garbage, and the more pollutants dissolved in the leachate, so the risk of leachate causing groundwater pollution is higher. Therefore, the landfill risk weight reflects the risk of groundwater pollution caused by landfills. The larger the landfill weight, the higher the risk of groundwater pollution caused by landfills.

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

[0125] Understandably, the greater the risk of groundwater contamination from a landfill, the shorter the monitoring time interval required in subsequent monitoring, so as to capture changes in groundwater quality in a timely manner.

[0126] S3. Confirm the groundwater monitoring mechanism, wherein the groundwater monitoring mechanism includes: an environmental thermometer, a water body thermometer, a water quality monitor and a positioning unit, wherein the water quality monitor includes: a COD sensor, an ammonia nitrogen sensor and a turbidity sensor.

[0127] It should be explained that the groundwater monitoring mechanism is a device that integrates an environmental thermometer, a water body thermometer, a water quality monitor and a positioning unit to monitor groundwater monitoring wells. The environmental thermometer is a thermometer used to measure the air temperature at the wellhead of the monitoring well, and the water body thermometer is a thermometer used to measure the temperature of the groundwater source in the monitoring well. The water quality monitor is an instrument that can detect the COD concentration, ammonia nitrogen concentration and turbidity of the groundwater source. The COD sensor in the water quality detector is used to monitor the COD concentration of the groundwater source, the ammonia nitrogen sensor in the water quality detector is used to monitor the ammonia nitrogen concentration of the groundwater source, and the turbidity sensor in the water quality detector is used to monitor the turbidity of the groundwater source. Optionally, Shandong Shuijing Sensing Technology-Multi-parameter Water Quality Online Detector is used as a water quality detector. Groundwater source refers to water of a certain quality located in a groundwater monitoring well. The COD concentration of the water source refers to the chemical oxygen demand of the groundwater source. The chemical oxygen demand is an indicator to measure the degree of organic matter pollution in the water. The higher the chemical oxygen demand, the higher the content of organic pollutants in the water. The ammonia nitrogen concentration in water sources refers to the free ammonia (NH3) and ammonium ions (NH4 + ) in the form of nitrogen compounds. Source water turbidity refers to the turbidity of groundwater sources. The positioning unit is a device that contains a GPS chip and can locate the latitude and longitude of groundwater monitoring wells in the real world.

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

[0129] Specifically, the pollution monitoring of multiple groundwater monitoring wells based on the monitoring time interval and the groundwater monitoring agency to obtain multiple water quality data sets and multiple monitoring well coordinates includes:

[0130] The following operations are performed for each of the multiple groundwater monitoring wells:

[0131] Using the positioning unit in the groundwater monitoring mechanism to perform positioning operations on the groundwater monitoring well, obtaining the coordinates of the monitoring well, taking the time when the coordinates of the monitoring well are obtained as the starting point and recording the time interval in real time, to obtain the comprehensive time interval;

[0132] Confirm the groundwater source in the groundwater monitoring well, take the time when the groundwater source in the groundwater monitoring well is confirmed as the starting point and record the time interval in real time to obtain the waiting time interval;

[0133] Using an environmental thermometer in a groundwater monitoring mechanism to obtain the ambient temperature, using a water body thermometer in the groundwater monitoring mechanism to perform a detection operation on the groundwater source to obtain the water body temperature, and calculating the geothermal difference according to the ambient temperature and the water body temperature, wherein the geothermal difference is the absolute difference between the ambient temperature and the water body temperature;

[0134] The COD sensor, ammonia nitrogen sensor and turbidity sensor in the water quality monitor 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] Integrate the geothermal difference, water source COD concentration, water source ammonia nitrogen concentration and water source turbidity into a water quality data packet, store the water quality data packet in a pre-constructed monitoring memory, obtain a target memory, and when the waiting time interval is equal to the monitoring time interval, use the target memory as the monitoring memory, return to the step of confirming the groundwater source in the groundwater monitoring well, until the comprehensive time interval is greater than or equal to the preset standard time interval, and extract a water quality data packet set from the target memory, wherein the water quality data packet set includes: multiple water quality data packets;

[0136] The water quality data packet sets are aggregated to obtain multiple water quality data packet 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 113.492712, and the latitude is 23.270622, that is, the coordinates of the monitoring well are (113.492712, 23.270622), and the technology of using a positioning unit to locate the groundwater monitoring well is an existing technology and will not be repeated here.

[0138] It should be explained that the ambient thermometer is placed at the wellhead of the groundwater monitoring well when obtaining the ambient temperature, that is, the ambient temperature refers to the air temperature at the wellhead of the groundwater monitoring well. The water body temperature refers to the temperature of the groundwater source. Confirming the groundwater source in the groundwater monitoring well means extracting a certain quality of water from the groundwater monitoring well as the groundwater source.

[0139] For example, if the time when the monitoring well coordinates are obtained is 09:00:00, the time interval is recorded in real time with 09:00:00 as the starting point to obtain the comprehensive time interval. When it is 9:02:00, the comprehensive time interval is 2 minutes, and when it is 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, the time interval is recorded in real time with 10:00:00 as the starting point to obtain the waiting time interval. When it is 10:00:20, the waiting time interval is 20 seconds. After the groundwater source is extracted from the groundwater monitoring well at 10:00:00, the groundwater source is immediately tested using a water body thermometer and a water quality monitor, and the test results are integrated into a water quality data packet and stored in a monitoring memory. If the monitoring time interval is 1 hour, then at 11:00:00, the target memory is used as the monitoring memory, and the step of confirming the groundwater source in the groundwater monitoring well is returned, that is, at 11:00:00, a certain quality of water is extracted from the groundwater monitoring well again, and the above-mentioned process of immediately using a water body thermometer and a water quality monitor to perform a test operation on the groundwater source is repeated until 12:00:00, and the step of confirming the groundwater source in the groundwater monitoring well is returned again, and so on and so forth, and the cycle is continuously repeated until the comprehensive time interval is greater than or equal to the preset standard time interval. If the standard time interval is 12 hours, that is, at 21:00:00, the cycle process is terminated, and the 12 stored water quality data packets are extracted from the target memory to obtain a water quality data packet set.

[0140] It should be understood that the technology of using the COD sensor, ammonia nitrogen sensor and turbidity sensor in the water quality monitor to perform detection operations on the groundwater source to obtain the water source COD concentration, water source ammonia nitrogen concentration and water source turbidity is existing technology and will not be repeated here.

[0141] It should be explained that the water quality data packet is a data packet that stores information about geothermal difference, water source COD concentration, water source ammonia nitrogen concentration, and water source turbidity. The technology of integrating geothermal difference, water source COD concentration, water source ammonia nitrogen concentration, and water source turbidity into a water quality data packet is a prior art and will not be described in detail here. The monitoring memory is a memory that can store water quality data packets.

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

[0143] It should be explained that the landfill coordinates refer to the longitude and latitude of the location where the landfill last buried garbage. For example, when the Guangzhou Xingfeng landfill last used a machine to complete the landfill of garbage, the longitude and latitude of the landfill location located by the positioning unit in the machine were 113.492823 and 23.270177, that is, the landfill coordinates were (113.492823, 23.270177).

[0144] In detail, the landfill coordinates, multiple monitoring well coordinates, multiple water quality data sets and landfill risk weights are used to calculate a comprehensive pollution index, including:

[0145] The following operations are performed on each of the multiple water quality data sets:

[0146] Calculate the fluctuation weight and the geothermal weight according to the multiple water quality data packets in the water quality data packet set, and calculate the position weight according to the landfill coordinates and the monitoring well coordinates corresponding to the water quality data packet set among the multiple monitoring well coordinates;

[0147] The fluctuation weights, geothermal weights and location weights are summarized respectively to obtain a plurality of fluctuation weights, a plurality of geothermal weights and a plurality of location weights;

[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, wherein the water quality data set has one-to-one correspondence 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 packet, the water quality data packet has a one-to-one correspondence with the fluctuation weight, the geothermal weight and the location weight.

[0150] In detail, the calculation of the fluctuation weight and the geothermal weight according to the multiple water quality data packets in the water quality data packet set includes:

[0151] Extract multiple geothermal differences, multiple water source COD concentrations, multiple water source ammonia nitrogen concentrations, and multiple water source turbidity from multiple water quality data packets;

[0152] The COD variance is calculated according to the COD concentrations of multiple water sources, the ammonia nitrogen variance is calculated according to the ammonia nitrogen concentrations of multiple water sources, and the turbidity variance is calculated according to the turbidity of multiple water sources, wherein the COD variance, the ammonia nitrogen variance and the turbidity variance are the variances of the COD concentrations of multiple water sources, the variances of the ammonia nitrogen concentrations of multiple water sources and the variances of the turbidity of multiple water sources respectively;

[0153] The fluctuation weight is calculated based on the COD variance, ammonia nitrogen variance and turbidity variance. The calculation formula is as follows:

[0154]

[0155] Among them, α x is the volatility weight, σ COD is the COD variance, σ N is the variance of ammonia nitrogen, σ FTU is the turbidity variance;

[0156] The geothermal weight is calculated based on multiple geothermal differences. The calculation formula is as follows:

[0157]

[0158] Among them, β x is the geothermal weight, m ​​is the number of geothermal differences in multiple geothermal differences, T i is the i-th geothermal difference among multiple geothermal differences, and ln is the natural logarithm.

[0159] It is understandable that since each water quality data packet 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 packets.

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

[0161] In detail, the calculating of the position weight according to the landfill coordinates and the monitoring well coordinates corresponding to the water quality data packet set among the plurality of monitoring well coordinates 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] Among them, γ x is the position weight, EW x and EW0 are the longitudes of the monitoring well and the landfill respectively, SN x and SN0 are the latitude of the monitoring well and the landfill latitude, respectively.

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

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

[0168] In detail, 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, including:

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

[0170] Calculate the average COD concentration, the average ammonia nitrogen concentration and the average turbidity according to the multiple water source COD concentrations, the multiple water source ammonia nitrogen concentrations and the multiple water source turbidities corresponding to the water quality data set, wherein the average COD concentration is the average value of the COD concentrations of the multiple water sources, the average ammonia nitrogen concentration is the average value of the ammonia nitrogen concentrations of the multiple water sources, and the average turbidity is the average value of the turbidities of the multiple water sources;

[0171] The COD concentration mean, the ammonia nitrogen concentration mean and the turbidity mean are summarized respectively to obtain multiple COD concentration mean, multiple ammonia nitrogen concentration mean and multiple turbidity mean, wherein the water quality data set corresponds to the COD concentration mean, the ammonia nitrogen concentration mean and the turbidity mean one by one;

[0172] The comprehensive pollution index is calculated based on the landfill risk weight, multiple COD concentration averages, multiple ammonia nitrogen concentration averages, multiple turbidity averages, multiple fluctuation weights, multiple geothermal weights and multiple location weights. The calculation formula is as follows:

[0173]

[0174] Among them, χ con is the comprehensive pollution index, N is the number of water quality data sets in multiple water quality data sets, α xi , β xi and γ xi are respectively the fluctuation weight, the geothermal weight and the location weight corresponding to the i-th water quality data packet set in the multiple water quality data packet sets among the multiple fluctuation weights, the multiple geothermal weights and the multiple location weights, and They are respectively the COD concentration mean, the ammonia nitrogen concentration mean and the turbidity mean corresponding to the ith water quality data packet set among multiple COD concentration mean values, multiple ammonia nitrogen concentration mean values ​​and multiple turbidity mean values.

[0175] It should be understood that the air temperature usually changes rapidly due to factors such as solar radiation and atmospheric circulation, and the heat waves or cold waves on the ground cannot be transmitted to the deep soil layer quickly, so the underground temperature will usually remain stable. Therefore, there is usually a difference between the air temperature and the underground temperature. The ambient temperature refers to the air temperature at the wellhead of the groundwater monitoring well, and the water body temperature refers to the temperature of the groundwater in the monitoring well. Therefore, there is usually a difference between the ambient temperature and the water body temperature. The greater the difference between the water body temperature and the ambient temperature, the longer the groundwater is affected by the underground temperature, that is, the longer the groundwater flows underground. The longer the groundwater flows underground, the higher the content of pollutants that can be adsorbed. Therefore, the greater the geothermal weight corresponding to the water quality data set, the higher the reference value of the mean COD concentration, the mean ammonia nitrogen concentration and the mean turbidity in the water quality data set when calculating the comprehensive pollution index. The closer the location of the landfilled garbage in the landfill is to the groundwater monitoring well, the more likely the groundwater in the groundwater monitoring well is to be polluted. Therefore, the location weight corresponding to the water quality data set is greater, that is, the farther the location of the landfilled garbage in the landfill is from the groundwater monitoring well, the lower the reference value of the mean COD concentration, the mean ammonia nitrogen concentration and the mean turbidity in the water quality data set when calculating the comprehensive pollution index. If the stability of the water quality of the groundwater source is worse over a period of time, that is, the more obvious the change in the water quality of the groundwater source during this period, that is, the higher the possibility of the groundwater source being affected by pollution during this period, the greater the fluctuation weight corresponding to the water quality data set, the higher the reference value of the mean COD concentration, the mean ammonia nitrogen concentration and the mean turbidity in the water quality data set when calculating the comprehensive pollution index. The landfill risk weight reflects the risk of groundwater pollution caused by the landfill. Therefore, the comprehensive pollution index comprehensively considers the landfill risk weight, multiple COD concentration means, multiple ammonia nitrogen concentration means, multiple turbidity means, multiple fluctuation weights, multiple geothermal weights and multiple location weights, reflecting the degree of groundwater pollution caused by the landfill. The higher the comprehensive pollution index, the higher the degree of groundwater pollution caused by the landfill.

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

[0177] It should be explained that the standard pollution threshold is a value set manually by the environmental monitoring personnel in the environmental monitoring department. Optionally, the standard pollution threshold is set by referring to the average value of multiple comprehensive pollution indices measured historically in the landfill. The risk control center is a computer in the environmental monitoring department for receiving pollution warning signals or safety signals.

[0178] For example, a pollution warning signal is a data packet storing a warning text, for example, the warning text is "there is a risk of groundwater pollution", and a safety signal is a data packet storing a safety text, for example, the safety text is "the groundwater is in good condition". When the risk management center receives a pollution warning signal or a safety signal, the warning text or the safety text can be parsed from the pollution warning signal or the safety signal, and the warning text or the safety text can be displayed on the screen of the risk management center.

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

[0180] For example, when the risk management and control center receives a pollution warning signal, text (groundwater pollution risk) will be displayed on the computer screen, so as to promptly remind the monitoring personnel of the environmental monitoring department, and the monitoring personnel will supervise the operators of the landfill to check or repair the anti-seepage layer. When the risk management and control center receives a safety signal, text (groundwater is in good condition) will be displayed on the computer screen, so that the monitoring personnel can confirm that the groundwater is not polluted.

[0181] The present invention is to solve the problem described in the background technology. The present invention receives pollution control instructions, confirms a landfill and multiple groundwater monitoring wells based on the pollution control instructions, obtains leachate samples, daily landfill volume and multiple leachate composition reports of the landfill, wherein the leachate composition report includes: filtrate conductivity and filtrate pH value. It can be seen that the embodiment of the present invention provides important data support for the subsequent assessment of landfill risk weights by obtaining leachate samples, daily landfill volume and leachate composition reports, improves the accuracy of water pollution assessment, and further obtains environmental data, wherein the environmental data includes: average precipitation and maximum temperature, and the leachate composition report is used to evaluate the landfill risk weight. The leachate samples are chemically evaluated to obtain the filtrate pollution index, and the landfill risk weight and monitoring time interval are confirmed according to the single-day landfill volume, environmental data and the filtrate pollution index. It can be seen that the embodiment of the present invention accurately evaluates the pollution degree of the leachate generated by the landfill by chemically evaluating the leachate samples. At the same time, the environmental data is helpful to judge the impact of the external environment on the pollution diffusion of the landfill, thereby improving the accuracy of the assessment of groundwater pollution and confirming the groundwater monitoring mechanism, wherein the groundwater monitoring mechanism includes: an environmental thermometer, a water body thermometer, a water quality monitor and a positioning unit, wherein the water quality monitor includes: a COD sensor, an ammonia nitrogen sensor and a turbidity sensor. The sensor performs pollution monitoring on multiple groundwater monitoring wells based on the monitoring time interval and the groundwater monitoring mechanism, and obtains multiple water quality data sets and multiple monitoring well coordinates, wherein the monitoring well coordinates and the water quality data sets correspond to each other one by one. It can be seen that the embodiment of the present invention uses the groundwater monitoring mechanism to perform pollution monitoring on the groundwater monitoring wells in real time and automatically, thereby improving the degree of automation in assessing the groundwater pollution situation, obtaining the coordinates of the landfill, using the coordinates of the landfill, the coordinates of the multiple monitoring wells, the multiple water quality data sets and the landfill risk weight to calculate the comprehensive pollution index, and comparing the comprehensive pollution index with the preset standard pollution threshold. It can be seen that the embodiment of the present invention takes into account the coordinates of the landfill, the multiple monitoring wells, the multiple water quality data sets and the landfill risk weight. The well coordinates, multiple water quality data sets and landfill risk weights are used to calculate the comprehensive pollution index, quantify the groundwater pollution situation, and improve the accuracy of the groundwater pollution assessment. If the comprehensive pollution index is greater than or equal to the standard pollution threshold, the pre-constructed pollution warning signal is sent to the pre-constructed risk control center, otherwise the pre-constructed safety signal is sent to the risk control center. When the risk control center receives the pollution warning signal or safety signal, the risk control of groundwater pollution is completed. It can be seen that the embodiment of the present invention sends a pollution warning signal or a safety signal to the risk control center in time, thereby improving the timeliness and automation of the assessment of groundwater pollution. Therefore, the present invention can improve the automation and accuracy of the assessment of groundwater pollution near the landfill.

[0182] like Figure 2, which is a functional module diagram of a landfill groundwater pollution risk management and control system provided by an embodiment of the present invention.

[0183] The landfill groundwater pollution risk control system 100 of the present invention can be installed in an electronic device. According to the functions to be implemented, the landfill groundwater pollution risk control system 100 can include a polluted filtrate analysis module 101, an underground pollution monitoring module 102, a pollution risk analysis module 103 and a warning signal sending module 104. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0184] The contaminated filtrate 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 of the landfill, a single-day landfill volume and multiple leachate composition reports, wherein the leachate composition report includes: filtrate conductivity and filtrate pH value, obtain environmental data, wherein the environmental data includes: average precipitation and maximum temperature, perform chemical evaluation on the leachate sample according to the multiple leachate composition reports, obtain the filtrate pollution index, and confirm the landfill risk weight and monitoring time interval according to the single-day landfill volume, environmental data and filtrate pollution index;

[0185] The underground pollution monitoring module 102 is used to confirm the groundwater monitoring mechanism, wherein the groundwater monitoring mechanism includes: an environmental thermometer, a water body thermometer, a water quality monitor and a positioning unit, wherein the water quality monitor includes: a COD sensor, an ammonia nitrogen sensor and a turbidity sensor, and performs pollution monitoring on multiple groundwater monitoring wells based on the monitoring time interval and the groundwater monitoring mechanism, and obtains multiple water quality data sets and multiple monitoring well coordinates, wherein the monitoring well coordinates and the water quality data set correspond one to one;

[0186] The pollution risk analysis module 103 is used to obtain the coordinates of the landfill, calculate the comprehensive pollution index using the coordinates of the landfill, the coordinates of multiple monitoring wells, multiple water quality data sets and landfill risk weights, and compare the comprehensive pollution index with a 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 and control 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 and control center. When the risk management and control center receives the pollution warning signal or the safety signal, the risk management of groundwater pollution is completed.

[0188] In detail, each module in the landfill groundwater pollution risk management system 100 in the embodiment of the present invention is used in the same manner as described above. Figure 1 The technical means are the same as the landfill groundwater pollution risk control method described in, and can produce the same technical effects, so they will not be repeated here.

[0189] like Figure 3 , which is a schematic diagram of the structure of an electronic device for implementing a method for controlling groundwater pollution risks in a landfill provided by 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 executable on the processor 10, such as a landfill groundwater pollution risk management method program.

[0191] Among them, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory 11 can be an internal storage unit of the electronic device 1 in some embodiments, such as a mobile hard disk of the electronic device 1. The memory 11 can also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the landfill groundwater pollution risk control method program, but also can be used to temporarily store data that has been output or is to be output.

[0192] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect the various components of the entire electronic device, and executes or executes the programs or modules (such as the landfill groundwater pollution risk control method program, etc.) stored in the memory 11, and calls the data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

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

[0194] Figure 3 Only an electronic device with components is shown, and 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 in the figure, or combine certain components, or arrange the components differently.

[0195] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated 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 generally used to establish a communication connection 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 interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

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

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

[0200] Obtain environmental data, including average precipitation and maximum temperature, chemically evaluate leachate samples based on multiple leachate composition reports to obtain a filtrate contamination index, and determine landfill risk weights and monitoring intervals based on daily landfill volume, environmental data, and the filtrate contamination index;

[0201] Confirm the groundwater monitoring mechanism, where the groundwater monitoring mechanism includes: environmental thermometer, water body thermometer, water quality monitor and positioning unit, where the water quality monitor includes: COD sensor, ammonia nitrogen sensor and turbidity sensor;

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

[0203] Obtaining the coordinates of the landfill, calculating a comprehensive pollution index using the coordinates of the landfill, the coordinates of multiple monitoring wells, multiple water quality data sets and landfill risk weights, and comparing the comprehensive pollution index with a 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 is sent to the pre-built risk control center, otherwise the pre-built safety signal is sent to the risk control center;

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

[0206] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0207] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it 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 can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0208] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

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

[0210] Obtain environmental data, including average precipitation and maximum temperature, chemically evaluate leachate samples based on multiple leachate composition reports to obtain a filtrate contamination index, and determine landfill risk weights and monitoring intervals based on daily landfill volume, environmental data, and the filtrate contamination index;

[0211] Confirm the groundwater monitoring mechanism, where the groundwater monitoring mechanism includes: environmental thermometer, water body thermometer, water quality monitor and positioning unit, where the water quality monitor includes: COD sensor, ammonia nitrogen sensor and turbidity sensor;

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

[0213] Obtaining the coordinates of the landfill, calculating a comprehensive pollution index using the coordinates of the landfill, the coordinates of multiple monitoring wells, multiple water quality data sets and landfill risk weights, and comparing the comprehensive pollution index with a 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 is sent to the pre-built risk control center, otherwise the pre-built safety signal is sent to the risk control center;

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

[0216] In the several embodiments provided by the present 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 only illustrative, and actual implementation may have other division methods.

[0217] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0218] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0219] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, 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 solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for controlling groundwater pollution risk in a landfill, characterized in that: The method comprises: Receive pollution control instructions, confirm the landfill and multiple groundwater monitoring wells based on the pollution control instructions, obtain leachate samples from the landfill, daily landfill volume and multiple leachate composition reports, where the leachate composition report includes: filtrate conductivity and filtrate pH value; Obtain environmental data, including average precipitation and maximum temperature, chemically evaluate leachate samples based on multiple leachate composition reports to obtain a filtrate contamination index, and determine landfill risk weights and monitoring intervals based on daily landfill volume, environmental data, and the filtrate contamination index; Confirm the groundwater monitoring mechanism, where the groundwater monitoring mechanism includes: environmental thermometer, water body thermometer, water quality monitor and positioning unit, where the water quality monitor includes: COD sensor, ammonia nitrogen sensor and turbidity sensor; Based on the monitoring time interval and the groundwater monitoring agency, multiple groundwater monitoring wells are monitored for pollution, and multiple water quality data sets and multiple monitoring well coordinates are obtained, wherein the monitoring well coordinates and the water quality data sets correspond one to one; Obtaining the coordinates of the landfill, calculating a comprehensive pollution index using the coordinates of the landfill, the coordinates of multiple monitoring wells, multiple water quality data sets and landfill risk weights, and comparing the comprehensive pollution index with a 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 is sent to the pre-built risk control center, otherwise the pre-built safety signal is sent to the risk control center; When the risk management and control center receives a pollution warning signal or a safety signal, it completes the risk management and control of groundwater pollution.

2. The method for controlling groundwater pollution risk in a landfill as claimed in claim 1, characterized in that: The leachate sample is chemically evaluated based on multiple leachate composition reports to obtain a filtrate contamination index, including: Obtaining a test pH value and a test volume of the leachate sample, and performing conductivity detection on the leachate sample using a pre-built conductivity meter to obtain a test conductivity; The leachate sample is heated and boiled to obtain a primary leachate sample, and the primary leachate sample is filtered to obtain an intermediate leachate sample; Performing an acidification operation on the intermediate leachate sample, and monitoring the intermediate pH value of the intermediate leachate sample undergoing the acidification operation in real time until the intermediate pH value reaches a preset acidification pH value, thereby obtaining an acidified filtrate sample; Obtaining a solid phase extraction column and an adsorption matrix, wherein the adsorption matrix includes: a chelating resin matrix and an activated carbon matrix; Placing an activated carbon matrix into a solid phase extraction column to obtain an activated carbon extraction column, and using the activated carbon extraction column to perform a filtration operation on the acidified filtrate sample to obtain an impurity filtration solution; Placing a chelating resin matrix into a solid phase extraction column to obtain a chelating extraction column, and performing an acidification activation operation on the chelating extraction column to obtain an activated extraction column; Using an activated extraction column to perform an extraction operation on the impurity removal solution to obtain a metal extraction column, and using a pre-constructed EDTA solution to perform an elution operation on the metal extraction column to obtain a metal elution solution; diluting the metal elution solution to obtain a diluted metal solution, wherein the volume of the diluted metal solution is the test volume; Conducting plasma mass spectrometry analysis on the diluted metal solution to obtain the concentration of lead ions, mercury ions and chromium ions; The filtrate contamination index is calculated based on the test pH value, test conductivity, multiple leachate composition reports, lead ion concentration, mercury ion concentration and chromium ion concentration.

3. The method for controlling groundwater pollution risk in a landfill as claimed in claim 2, characterized in that: The filtrate pollution index is calculated based on the test pH value, test conductivity, multiple leachate composition reports, lead ion concentration, mercury ion concentration and chromium ion concentration, including: Among them, θ con is the filtrate pollution index, n is the number of leachate component reports in multiple leachate component reports, PH i and i are the filtrate conductivity and filtrate pH value of the i-th leachate component report in multiple leachate component reports, respectively. x To test the pH value, ρ x To test the conductivity, C Cr , C Pb and C Hg are the concentrations of chromium ions, lead ions and mercury ions respectively, e is a natural constant, PH0 is the preset standard pH value, and || refers to the absolute value.

4. The method for controlling groundwater pollution risk in a landfill as claimed in claim 3, characterized in that: The landfill risk weight and monitoring time interval determined based on the daily landfill volume, environmental data and filtrate pollution index include: The landfill risk weight is calculated based on the daily landfill volume, environmental data and filtrate pollution index. The calculation formula is as follows: in, is the landfill risk weight, M x and M0 are the daily landfill volume and the preset standard landfill volume respectively. is the average precipitation in the environmental data, T max is the highest temperature in the environmental data, and tanh is the hyperbolic tangent function. The monitoring time interval is calculated based on the landfill risk weight. The calculation formula is as follows: Among them, t x is the monitoring time interval, is the preset reference risk weight, and t0 is the preset standard monitoring interval.

5. The method for controlling groundwater pollution risk in a landfill as claimed in claim 4, characterized in that: The method of performing pollution monitoring on multiple groundwater monitoring wells based on the monitoring time interval and the groundwater monitoring agency to obtain multiple water quality data sets and multiple monitoring well coordinates includes: The following operations are performed for each of the multiple groundwater monitoring wells: Using the positioning unit in the groundwater monitoring mechanism to perform positioning operations on the groundwater monitoring well, obtaining the coordinates of the monitoring well, taking the time when the coordinates of the monitoring well are obtained as the starting point and recording the time interval in real time, to obtain the comprehensive time interval; Confirm the groundwater source in the groundwater monitoring well, take the time when the groundwater source in the groundwater monitoring well is confirmed as the starting point and record the time interval in real time to obtain the waiting time interval; Using an environmental thermometer in a groundwater monitoring mechanism to obtain the ambient temperature, using a water body thermometer in the groundwater monitoring mechanism to perform a detection operation on the groundwater source to obtain the water body temperature, and calculating the geothermal difference according to the ambient temperature and the water body temperature, wherein the geothermal difference is the absolute difference between the ambient temperature and the water body temperature; The COD sensor, ammonia nitrogen sensor and turbidity sensor in the water quality monitor are used to perform detection operations on the groundwater source to obtain the COD concentration, ammonia nitrogen concentration and turbidity of the water source; Integrate the geothermal difference, water source COD concentration, water source ammonia nitrogen concentration and water source turbidity into a water quality data packet, store the water quality data packet in a pre-constructed monitoring memory, obtain a target memory, and when the waiting time interval is equal to the monitoring time interval, use the target memory as the monitoring memory, return to the step of confirming the groundwater source in the groundwater monitoring well, until the comprehensive time interval is greater than or equal to the preset standard time interval, and extract a water quality data packet set from the target memory, wherein the water quality data packet set includes: multiple water quality data packets; The water quality data packet sets are aggregated to obtain multiple water quality data packet sets.

6. The method for controlling groundwater pollution risk in a landfill as claimed in claim 5, characterized in that: The method of calculating the comprehensive pollution index using the landfill coordinates, the coordinates of multiple monitoring wells, the multiple water quality data sets and the landfill risk weights includes: The following operations are performed on each of the multiple water quality data sets: Calculate the fluctuation weight and the geothermal weight according to the multiple water quality data packets in the water quality data packet set, and calculate the position weight according to the landfill coordinates and the monitoring well coordinates corresponding to the water quality data packet set among the multiple monitoring well coordinates; The fluctuation weights, geothermal weights and location weights are summarized respectively to obtain a plurality of fluctuation weights, a plurality of geothermal weights and a plurality of location weights; 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, wherein the water quality data set has one-to-one correspondence with the fluctuation weights, geothermal weights and location weights.

7. The method for controlling groundwater pollution risk in a landfill as claimed in claim 6, characterized in that: The calculating of the fluctuation weight and the geothermal weight according to the plurality of water quality data packets in the water quality data packet set includes: Extract multiple geothermal differences, multiple water source COD concentrations, multiple water source ammonia nitrogen concentrations, and multiple water source turbidity from multiple water quality data packets; The COD variance is calculated according to the COD concentrations of multiple water sources, the ammonia nitrogen variance is calculated according to the ammonia nitrogen concentrations of multiple water sources, and the turbidity variance is calculated according to the turbidity of multiple water sources, wherein the COD variance, the ammonia nitrogen variance and the turbidity variance are the variances of the COD concentrations of multiple water sources, the variances of the ammonia nitrogen concentrations of multiple water sources and the variances of the turbidity of multiple water sources respectively; The fluctuation weight is calculated based on the COD variance, ammonia nitrogen variance and turbidity variance. The calculation formula is as follows: Among them, α x is the volatility weight, σ COD is the COD variance, σ N is the variance of ammonia nitrogen, σ FTU is the turbidity variance; The geothermal weight is calculated based on multiple geothermal differences. The calculation formula is as follows: Among them, β x is the geothermal weight, m ​​is the number of geothermal differences in multiple geothermal differences, T i is the i-th geothermal difference among multiple geothermal differences, and ln is the natural logarithm.

8. The method for controlling groundwater pollution risk in a landfill as claimed in claim 7, characterized in that: The calculating of the position weight according to the landfill coordinates and the monitoring well coordinates corresponding to the water quality data packet set among the plurality of monitoring well coordinates 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: Among them, γ x is the position weight, EW x and EW0 are the longitudes of the monitoring well and the landfill respectively, SN x and SN0 are the latitude of the monitoring well and the landfill latitude, respectively.

9. The method for controlling groundwater pollution risk in a landfill as claimed in claim 8, characterized in that: 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, including: Perform the following operations on each of the multiple water quality data sets: Calculate the average COD concentration, the average ammonia nitrogen concentration and the average turbidity according to the multiple water source COD concentrations, the multiple water source ammonia nitrogen concentrations and the multiple water source turbidities corresponding to the water quality data set, wherein the average COD concentration is the average value of the COD concentrations of the multiple water sources, the average ammonia nitrogen concentration is the average value of the ammonia nitrogen concentrations of the multiple water sources, and the average turbidity is the average value of the turbidities of the multiple water sources; The COD concentration mean, the ammonia nitrogen concentration mean and the turbidity mean are summarized respectively to obtain multiple COD concentration mean, multiple ammonia nitrogen concentration mean and multiple turbidity mean, wherein the water quality data set corresponds to the COD concentration mean, the ammonia nitrogen concentration mean and the turbidity mean one by one; The comprehensive pollution index is calculated based on the landfill risk weight, multiple COD concentration averages, multiple ammonia nitrogen concentration averages, multiple turbidity averages, multiple fluctuation weights, multiple geothermal weights and multiple location weights. The calculation formula is as follows: Among them, χ con is the comprehensive pollution index, N is the number of water quality data sets in multiple water quality data sets, α xi , β xi and γ xi are respectively the fluctuation weight, the geothermal weight and the location weight corresponding to the i-th water quality data packet set in the multiple water quality data packet sets among the multiple fluctuation weights, the multiple geothermal weights and the multiple location weights, and They are respectively the COD concentration mean, the ammonia nitrogen concentration mean and the turbidity mean corresponding to the ith water quality data packet set among multiple COD concentration mean values, multiple ammonia nitrogen concentration mean values ​​and multiple turbidity mean values.

10. A landfill groundwater pollution risk management system, characterized in that: The system comprises: A contaminated filtrate analysis module is used to receive pollution control instructions, confirm the landfill and multiple groundwater monitoring wells based on the pollution control instructions, obtain leachate samples of the landfill, a single-day landfill volume and multiple leachate composition reports, wherein the leachate composition report includes: filtrate conductivity and filtrate pH value, obtain environmental data, wherein the environmental data includes: average precipitation and maximum temperature, perform chemical evaluation on the leachate sample according to multiple leachate composition reports, obtain the filtrate pollution index, and confirm the landfill risk weight and monitoring time interval according to the single-day landfill volume, environmental data and filtrate pollution index; An underground pollution monitoring module is used to confirm a groundwater monitoring agency, wherein the groundwater monitoring agency includes: an environmental thermometer, a water body thermometer, a water quality monitor and a positioning unit, wherein the water quality monitor includes: a COD sensor, an ammonia nitrogen sensor and a turbidity sensor, and performs pollution monitoring on multiple groundwater monitoring wells based on a monitoring time interval and a groundwater monitoring agency, and obtains multiple water quality data sets and multiple monitoring well coordinates, wherein the monitoring well coordinates correspond to the water quality data set; A pollution risk analysis module is used to obtain the coordinates of the landfill, calculate the comprehensive pollution index using the coordinates of the landfill, the coordinates of multiple monitoring wells, multiple water quality data sets and landfill risk weights, and compare the comprehensive pollution index with a preset standard pollution threshold; The warning signal sending module is used to send the pre-built pollution warning signal to the pre-built risk management and control center if the comprehensive pollution index is greater than or equal to the standard pollution threshold, otherwise the pre-built safety signal is sent to the risk management and control center. When the risk management and control center receives the pollution warning signal or safety signal, the risk management of groundwater pollution is completed.

Images