Treatment process for new pollutants in landfill leachate

Abstract

The invention relates to the technical field of landfill leachate treatment, and particularly discloses a treatment process of new pollutants in landfill leachate, which is characterized in that the pollutants in the landfill leachate are enriched and purified by using a solid phase extraction technology, and are qualitatively and quantitatively analyzed by using a high performance liquid chromatography-tandem mass spectrometry technology. Evaluating the concentration of new pollutants in the leachate; a refuse landfill is divided into a plurality of areas for leachate collection, a clean glass bottle and a proper filter are used for avoiding sample pollution, pressure, temperature data and concentration difference data of a membrane system are collected, and the pollutant interception capacity of the membrane system is evaluated by calculating a pressure factor, a temperature factor and a concentration difference factor. Marking the membrane system which is lower than the threshold value; a prediction mechanism is established, and when the performance of the membrane system tends to slide down, the membrane system is repaired or replaced in time; the pH value of inlet water is monitored in real time, and when the pH value abnormally fluctuates, adjustment is performed by adding acid or alkali, so that stable operation of a membrane system is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of landfill leachate treatment, and in particular to a process for treating new pollutants in landfill leachate. Background Art

[0002] With the acceleration of industrialization and the development of social economy, leachate from landfills has become an important source of environmental pollution. Leachate contains a large amount of harmful substances, such as heavy metals and organic pollutants. Among them, new organic pollutants such as PFOS / PFOA have attracted widespread attention due to their persistence and bioaccumulation. These pollutants pose a serious threat to the environment and human health, so effective measures need to be taken to treat and intercept them.

[0003] Traditional methods for treating landfill leachate mainly include biological treatment, chemical precipitation, adsorption and other technologies, but they have certain limitations in treating new organic pollutants such as PFOS / PFOA. These problems are mainly reflected in the following aspects: the existing detection methods are often difficult to accurately detect the concentration of new organic pollutants such as PFOS / PFOA in landfill leachate, especially at low concentrations, the accuracy of the detection results is affected; the traditional treatment methods have limited interception efficiency for new organic pollutants, especially for low concentrations of pollutants, it is difficult to achieve the ideal interception effect; the membrane system is a key component in the landfill leachate treatment system, but its performance will gradually decline over time; traditional monitoring methods cannot detect performance changes of the membrane system in time, resulting in reduced treatment efficiency; the pH value of landfill leachate often changes, and this fluctuation will affect the performance of the membrane system, and then affect the interception effect of pollutants. However, the existing treatment system lacks effective pH value control means, and cannot adjust the pH value in time to ensure the optimal working state of the membrane system.

[0004] In response to the above problems, the present invention aims to improve the detection accuracy by adopting solid phase extraction (SPE) technology and high performance liquid chromatography-tandem mass spectrometry (HPLC-MS / MS) technology, improve the interception efficiency by real-time monitoring of the working status of the membrane system and performing preventive maintenance, and ensure the optimal working environment of the membrane system by real-time monitoring of the pH value and regulating it. The application of these technologies can effectively solve the problems existing in the existing landfill leachate treatment, improve the treatment efficiency, and ensure environmental safety. Summary of the invention

[0005] The purpose of the present invention is to provide a treatment process for new pollutants in landfill leachate, which uses solid phase extraction (SPE) technology to enrich and purify the landfill leachate to improve the accuracy of subsequent detection; by monitoring the pressure data and temperature data of the membrane system, a prediction mechanism is established in combination with historical working data to evaluate the working status of the membrane system in real time; for membrane systems that may experience performance degradation, they are marked in advance and preventive maintenance measures are taken; finally, by real-time monitoring and regulation of the pH value in the working environment of the membrane system, the membrane system is ensured to be in the best working state to solve the above-mentioned background problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A process for treating new pollutants in landfill leachate comprises the following steps:

[0008] S1: Enrichment and purification using solid phase extraction technology Filtrate is collected regularly from the landfill leachate treatment system, and the concentration of new pollutants is obtained by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS / MS);

[0009] S2: In the process of filtering new pollutants, the performance of the membrane system is judged by processing the pressure data, temperature data and concentration difference data, and the interception capacity of the membrane system for new pollutants in the landfill leachate sample is obtained, that is, the pressure data, temperature data and concentration difference data before and after filtration of the membrane system used to filter new pollutants are obtained, and the pressure data, temperature data and concentration difference data before and after filtration are processed to generate a normal signal of the membrane system and an abnormal signal of the membrane system;

[0010] S3: Based on the historical working data of the interception efficiency of the membrane system during the filtration of new pollutants, a prediction mechanism is established to mark the predicted abnormal membrane system;

[0011] S4: Conduct specific troubleshooting of membrane system performance during the filtration of the marked new contaminants, and promptly repair or replace membrane system failures.

[0012] As a further solution of the present invention: the process of obtaining the pressure factor Zpi is:

[0013] Get the real-time pressure value Pij of each area;

[0014] Wherein, i represents the number of acquisition areas, i=1, 2, ..., n; represents the jth acquisition point in the i-th area, j=1, 2, ..., n;

[0015] The pressure values ​​of each area are integrated to obtain a pressure value group, the maximum pressure value Pimax in the pressure value group is calculated by difference with the minimum pressure value Pimin in the pressure value group to obtain a pressure extreme difference value, and the pressure extreme difference value is calculated by ratio with the average pressure value Piy to obtain a pressure deviation ratio Sp;

[0016] As a further solution of the present invention: the temperature factor Z Ti The acquisition process is:

[0017] Get the real-time temperature value Tij of each area;

[0018] The pressure values ​​of each area are integrated respectively to obtain a pressure value group; the maximum temperature value Timax in the temperature value group is calculated by the difference with the minimum temperature value Timin in the temperature value group to obtain the extreme value; the average temperature value Tiy in the temperature value group is calculated by the difference with the minimum temperature value in the temperature value group to obtain the deviation value, and the extreme value is calculated by the ratio with the deviation value to obtain the standardized score Qi of the temperature value;

[0019] As a further solution of the present invention: the concentration difference data is processed to obtain a concentration difference factor, which is recorded as Z Di , for the pressure factor Zpi and temperature factor Z Ti and concentration difference factor Z Di to be processed.

[0020] As a further solution of the present invention: the process of establishing a prediction mechanism for the interception capacity of a new pollutant membrane system is as follows:

[0021] Collect the historical working data of the membrane system in time series, and obtain the new pollutant interception capacity Rs of the membrane system in the past period of time by processing the pressure data and temperature data;

[0022] Among them, s represents the number of points collected in time series;

[0023] The attenuation rate ε is calculated based on historical data, and a prediction formula is obtained. The abnormal probability Ms is calculated based on the prediction formula; if the predicted abnormal probability Ms is close to a preset threshold, the membrane system is marked.

[0024] As a further solution of the present invention: the calculation process of the interception attenuation rate ε of the membrane system for new pollutants is:

[0025] The abnormal probability Ms of the sth collection point is calculated.

[0026] As a further solution of the present invention: a membrane system for marking new pollutants;

[0027] Identify factors affecting membrane systems, including membrane aging, chemical attack, biofilm growth, and mechanical damage.

[0028] As a further solution of the present invention: if there is physical damage on the membrane, it is repaired by physical methods;

[0029] If it is chemical damage, use a cleaning agent to clean the membrane and trap the pollutants;

[0030] If the membrane assembly is severely damaged or cannot be repaired, it should be replaced with a new one in time.

[0031] Among them, physical damage refers to the degree of cracks in the membrane system, and chemical damage refers to chemical substances causing membrane fouling or changes in membrane structure.

[0032] As a further solution of the present invention: since pH fluctuations due to external factors may affect membrane system performance, an abnormal pH fluctuation score J is calculated;

[0033] If the pH value abnormal fluctuation score J is greater than or equal to the preset pH value abnormal fluctuation score threshold, it means that the abnormal pH value fluctuation causes the performance of the membrane system to be unstable.

[0034] Beneficial effects of the present invention:

[0035] (1) The present invention uses solid phase extraction (SPE) technology to enrich and purify landfill leachate, significantly improving the accuracy of subsequent detection. SPE technology can effectively enrich target pollutants from complex landfill leachate, such as new organic pollutants such as PFOS / PFOA. These pollutants are usually at low concentrations but have potential hazards to the environment and human health. Through SPE technology, the interference of non-target compounds can be significantly reduced, the concentration of target pollutants can be increased, and the sensitivity and accuracy of subsequent high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS / MS) detection can be improved. This efficient pretreatment method can not only help researchers more accurately evaluate the actual concentration of pollutants in landfill leachate, but also provide a scientific basis for formulating more effective pollutant interception strategies.

[0036] In addition, the high performance liquid chromatography-tandem mass spectrometry technology proposed in the present invention can realize the rapid qualitative and quantitative analysis of PFOS / PFOA pollutants in landfill leachate. This method can not only accurately determine the presence of pollutants, but also provide specific content information of pollutants, which is crucial for evaluating the efficiency of landfill leachate treatment facilities. Through this precise analysis method, not only can the excessive pollutants be discovered in time, but also the treatment process can be adjusted according to the test results to improve the interception efficiency, ensure that the landfill leachate meets the emission standards after treatment, and thus reduce the burden on the environment;

[0037] (2) The present invention can timely detect possible performance degradation problems of the membrane system by real-time monitoring of the working status of the membrane system. By processing the pressure data and temperature data of the membrane system and establishing a prediction mechanism in combination with historical working data, the membrane system that is about to fail can be effectively identified and marked; this preventive maintenance strategy can significantly reduce the downtime of the treatment system caused by membrane system failure, reduce unnecessary maintenance costs, and also ensure the continuous and stable operation of the landfill leachate treatment system;

[0038] By real-time monitoring of the pressure and temperature changes of the membrane system, the pressure factor and temperature factor can be calculated, and then the retention capacity score can be obtained; this score can intuitively reflect the working efficiency of the membrane system. When the score is lower than the preset threshold, it indicates that there may be an abnormality in the membrane system; at this time, timely troubleshooting and necessary repair or replacement measures can be taken to avoid further deterioration of the membrane system performance and ensure that the overall efficiency of the treatment system is not affected; this dynamic monitoring and maintenance mechanism can not only extend the service life of the membrane system, but also improve the reliability and economy of the entire treatment system.

[0039] (3) The present invention ensures that the membrane system is in the best working state by real-time monitoring of pH changes in the working environment of the membrane system and taking corresponding control measures; pH changes may affect the selectivity and permeability of the membrane system, and further affect its ability to intercept pollutants; by real-time monitoring of the pH value of the influent and timely adjusting the pH value according to the monitoring results, it can ensure that the membrane system works in a suitable acid-base environment and avoid performance instability caused by abnormal pH fluctuations;

[0040] When the abnormal pH fluctuation score is monitored to exceed the preset threshold, the pH value can be adjusted by adding an appropriate amount of acid or alkali in the pretreatment stage to ensure that the working environment of the membrane system is maintained within the optimal range; this can not only improve the retention efficiency of the membrane system for specific pollutants, but also extend its service life and reduce the additional maintenance costs caused by pH fluctuations; in addition, a stable pH environment can also help reduce the risk of biofilm growth, thereby further improving the stability and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present invention will be further described below in conjunction with the accompanying drawings.

[0042] Figure 1 It is a flowchart of a process for treating new pollutants in landfill leachate according to the present invention;

[0043] Figure 2 It is a flowchart of comparing the retention fraction of the membrane system in the present invention;

[0044] Figure 3It is a flowchart of the pH value abnormal fluctuation score comparison process in the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] See also Figure 1 As shown, the present invention is a process for treating new pollutants in landfill leachate, comprising the following steps:

[0047] S1: Enrichment and purification using solid phase extraction technology Filtrate is collected regularly from the landfill leachate treatment system, and the concentration of new pollutants is obtained by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS / MS);

[0048] S2: In the process of filtering new pollutants, the performance of the membrane system is judged by processing the pressure data, temperature data and concentration difference data, and the interception capacity of the membrane system for pollutants in the landfill leachate sample is obtained, that is, the pressure data, temperature data and concentration difference data before and after filtration of the membrane system used to filter new pollutants are obtained, and the pressure data, temperature data and concentration difference data before and after filtration are processed to generate a normal signal of the membrane system and an abnormal signal of the membrane system;

[0049] S3: Based on the historical working data of the interception efficiency of the membrane system during the filtration of new pollutants, a prediction mechanism is established to mark the predicted abnormal membrane system;

[0050] S4: Conduct specific troubleshooting of membrane system performance during the filtration of the marked new pollutants, and promptly repair or replace the membrane system if it fails;

[0051] Among them, by processing the pressure data, temperature data and concentration difference data, the retention capacity of the membrane system for new pollutants (FOS / PFOA type) in the landfill leachate sample, that is, the effect of reducing the concentration of new pollutants, is obtained.

[0052] Example 2

[0053] On the basis of Example 1, solid phase extraction (SPE) technology was used for enrichment and purification. Filtrate was collected from the landfill leachate treatment system regularly, and the landfill leachate was separated into solid and liquid. High performance liquid chromatography-tandem mass spectrometry (HPLC-MS / MS) technology was used to perform qualitative and quantitative analysis on PFOS / PFOA new pollutants in the landfill leachate samples, and the concentration of PFOS / PFOA new pollutants in the landfill leachate was evaluated based on the test results.

[0054] Divide the landfill into several areas and collect leachate from each area;

[0055] Among them, clean glass bottles are used as sampling containers to prevent samples from being contaminated by PFASs that may be contained in the containers themselves. Suitable filters (such as 0.45μm nylon membranes) are used to intercept suspended solids and particulate matter. Solid phase extraction (SPE) extraction technology is used to enrich PFOS / PFOA. Gel permeation chromatography (GPC) technology is used to intercept interfering substances and improve the purity of target compounds. The extract is concentrated by rotary evaporation to improve detection sensitivity.

[0056] Example 3

[0057] See also Figure 2 As shown, on the basis of Example 2, the working data of the membrane system, including pressure data and temperature data, is obtained during the new pollutant filtration process, the working data of the membrane system is processed to obtain a pressure factor and a temperature factor, the pressure factor and the temperature factor are processed to obtain a pollutant retention capacity score, the new pollutant retention capacity score is compared with a new pollutant retention capacity score threshold, and the new pollutant retention capacity of the membrane system is judged;

[0058] Specific:

[0059] Collect the real-time pressure data and temperature data of the new pollutant membrane system in each area according to time series (such as every minute);

[0060] Get the real-time pressure value Pij of each area;

[0061] Wherein, i represents the number of acquisition areas, i=1, 2, ..., n; j represents the jth acquisition point in the i-th area, j=1, 2, ..., n;

[0062] The pressure values ​​of each area are integrated separately to obtain a pressure value group;

[0063] The average pressure value Piy of the pressure value group is obtained through the mean calculation formula;

[0064] Obtain the standard deviation value α of the pressure value group through the standard deviation calculation formula i ;

[0065] Get the maximum pressure value Pimax in the pressure value group;

[0066] Get the minimum pressure value Pimin in the pressure value group;

[0067] The maximum pressure value Pimax in the pressure value group is calculated by the difference with the minimum pressure value Pimin in the pressure value group to obtain the pressure extreme difference value, and the pressure extreme difference value is calculated by the ratio with the average pressure value Piy to obtain the pressure deviation ratio Sp;

[0068] By formula Calculate the pressure factor Z pi ;

[0069] Among them, b1 is a preset proportional factor, which is set by the staff based on historical data, and b1 is greater than 0;

[0070] Get the real-time temperature value Tij of each area;

[0071] The pressure values ​​of each area are integrated separately to obtain a pressure value group;

[0072] Obtain the average temperature value Tiy of the temperature value group through the mean calculation formula;

[0073] Get the standard deviation value α of the temperature value group through the standard deviation calculation formula 1i ;

[0074] Get the maximum temperature value Timax in the temperature value group;

[0075] Get the minimum temperature value Timin in the temperature value group;

[0076] The maximum temperature value Timax in the temperature value group is calculated by the difference with the minimum temperature value Timin in the temperature value group to obtain the extreme value; the average temperature value Tiy in the temperature value group is calculated by the difference with the minimum temperature value in the temperature value group to obtain the deviation value, and the extreme value is calculated by the ratio with the deviation value to obtain the standardized score Qi of the temperature value;

[0077] By formula Calculate the temperature factor Z Ti ;

[0078] Among them, b2 is a preset proportional factor, which is set by the staff based on historical data, and b2 is greater than 0;

[0079] The concentration difference data is processed to obtain the concentration difference factor, which is recorded as Z Di , for the pressure factor Zpi and temperature factor Z Ti and concentration difference factor Z Di to process;

[0080] By the formula Ri=Z Di *(Z pi +Z Ti ) Calculate the interception capacity fraction Ri;

[0081] Among them, the process of obtaining the concentration difference factor is:

[0082] Obtain the pollutant concentration value of the new pollutant before filtration by the membrane system, recorded as the pre-pollutant concentration value;

[0083] Obtain the pollutant concentration value of the new pollutant after filtration by the membrane system, recorded as the post-pollutant concentration value;

[0084] Perform difference processing on the pre-pollutant concentration value and the post-pollutant concentration value to obtain the pollutant concentration deviation value;

[0085] The pollutant concentration deviation value is processed by ratio with the previous pollutant concentration value to obtain the concentration difference factor;

[0086] In a specific embodiment, the pollutant concentration values ​​include, but are not limited to, PFOS concentration values, PFOA concentration values, and ammonia nitrogen concentration values;

[0087] Comparing the interception capacity score Ri with the interception capacity score threshold;

[0088] If the interception capacity fraction Ri is greater than or equal to the interception capacity fraction threshold, it means that the membrane system has a strong interception capacity for new pollutants; a normal signal of the membrane system is generated;

[0089] If the interception capacity fraction Ri is less than the interception capacity fraction threshold, it means that the interception capacity of the membrane system for new pollutants is weak; an abnormal signal of the membrane system is generated;

[0090] It should be noted that the larger the interception capacity fraction Ri is, the stronger the ability of the membrane system to intercept new pollutants is.

[0091] Example 4

[0092] On the basis of Example 3, since the performance of the membrane system during the filtration of new pollutants will decrease with the use time, the interception efficiency is monitored in real time, and a prediction mechanism is established. When the performance of the membrane system declines, the membrane system that may have abnormal signals in the future will be marked, and the membrane system will be repaired or replaced in time;

[0093] Specific:

[0094] Collect the historical working data of the membrane system during the filtration of new pollutants according to the time series (such as every minute), and obtain the retention capacity Rs of the membrane system in the past period of time by processing the pressure data and temperature data;

[0095] Wherein, s represents the number of points collected in time series, s = 1, 2, ..., n;

[0096] Establish new features based on historical data on the retention capacity of new pollutants in the filtration process, including:

[0097] The historical average retention capacity score, the maximum retention capacity score, the minimum retention capacity score, the trend of the decay rate (increasing, stable, decreasing) and the moving average of the decay rate are obtained through the mean calculation formula;

[0098] Process the historical data characteristics and preset the pressure proportional coefficient A1, temperature proportional coefficient A2 and decay rate proportional coefficient A3;

[0099] By formula The attenuation rate ε is calculated;

[0100] The prediction formula is z=A1*Z Ps +A2*Z Ts +ε*A3+β;

[0101] Among them, Z Ps is the pressure factor of the sth collection point, Z Ts is the temperature factor of the sth collection point, and β is the intercept term;

[0102] By formula Calculate the abnormal probability Ms of the sth collection point;

[0103] The abnormal probability Ms is monitored in real time. If the predicted abnormal probability Ms is close to the preset threshold, the membrane system is marked as a key focus object, and all key focus objects are repaired or replaced in a timely manner.

[0104] Example 5

[0105] See also Figure 3 As shown, on the basis of Example 4, new pollutants affect the marked membrane system during the filtration process. First, a detailed fault diagnosis should be carried out to ensure that it can be accurately repaired; it is judged whether it is affected by membrane aging, chemical erosion, biofilm growth, mechanical damage or other external factors. If there is physical damage on the membrane, consider using physical methods to repair it. If it is chemical damage, use an appropriate cleaning agent to clean the membrane and intercept pollutants; if the membrane component is severely damaged or cannot be repaired, a new membrane component should be replaced in time.

[0106] Among them, physical damage refers to the degree of cracks in the membrane system, and chemical damage refers to certain chemical substances causing membrane fouling or changes in membrane structure.

[0107] The pH fluctuation caused by external factors will affect the performance of the membrane system. Specifically, the acidity and alkalinity of the solution will affect the stability of the membrane material and change the charge state of the membrane surface, thus affecting the selectivity and permeability of the membrane.

[0108] Based on the abnormal signal of the membrane system, the pH value of the permeate during the filtration of new pollutants is monitored in real time according to the time series (e.g., every minute), which is recorded as Hm;

[0109] Where m represents the number of collection points, m = 1, 2, ..., n, Hm represents the pH value at the mth collection point;

[0110] All pH values ​​Hm are integrated to obtain a pH value group;

[0111] The average pH value Hy of the pH value group is obtained by the mean calculation formula;

[0112] Get the maximum pH value Hmax in the pH value group;

[0113] Get the minimum pH value Hmin in the pH value group;

[0114] By formula Get the pH value abnormal fluctuation score J;

[0115] Wherein, b3 and b4 are the preset proportional coefficients corresponding to the pH value, and b3 and b4 are both greater than 0;

[0116] Compare the pH value abnormal fluctuation score J with a preset pH value abnormal fluctuation score threshold;

[0117] If the pH value abnormal fluctuation score J is greater than or equal to the preset pH value abnormal fluctuation score, it means that the current pH fluctuation is large and has a great impact on the membrane system. The performance of the membrane system is unstable due to the abnormal pH fluctuation;

[0118] If the pH value abnormal fluctuation score J is less than the preset pH value abnormal fluctuation score, it means that the current pH fluctuation is small and has little impact on the ability of the membrane system to intercept new pollutants. In this case, it is not the pH value that causes the performance of the membrane system to be unstable.

[0119] The abnormal pH fluctuation score of the influent is monitored in real time. If the abnormal pH fluctuation score J is greater than or equal to the preset abnormal pH fluctuation score, acid or alkali is added in the pretreatment stage to adjust the pH value to ensure the working environment of the membrane system in the process of intercepting new pollutants.

[0120] It should be noted that troubleshooting and dynamic regulation of the membrane system can help to improve the performance of the membrane system in a timely manner, ensuring that the membrane system maintains an efficient and stable working environment, thereby better improving the new pollutant retention capacity of the membrane system during the new pollutant filtration process.

[0121] The working principle of the present invention is as follows: first, the solid phase extraction (SPE) technology is used to enrich and purify the landfill leachate to improve the accuracy of subsequent detection; second, the pressure data and temperature data of the membrane system are monitored during the filtration of new pollutants, and a prediction mechanism is established in combination with historical working data to evaluate the working status of the membrane system in real time; third, for membrane systems that may have performance degradation, they are marked in advance and preventive maintenance measures are taken; finally, the membrane system is ensured to be in the best working state by real-time monitoring and regulation of the pH value in the working environment of the membrane system. Specifically, in the process of treating landfill leachate, SPE technology is first used for solid-liquid separation, and high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS / MS) technology is used to qualitatively and quantitatively analyze new pollutants such as PFOS / PFOA in the leachate. Then, the pressure and temperature data of the membrane system are collected in real time, and the pressure factor and temperature factor are calculated using statistical methods, and then the interception capacity score is obtained to judge the working efficiency of the membrane system. In addition, a prediction mechanism is established based on historical data, and by analyzing the trend of the interception capacity score, possible problems of the membrane system can be predicted in advance, and marked for timely maintenance. At the same time, considering that changes in pH value may have a negative impact on the performance of the membrane system, the present invention also proposes a set of real-time monitoring and control mechanisms, which further ensures the stable operation of the membrane system by dynamically adjusting the pH value of the influent. Through this series of comprehensive measures, not only can the pollutant interception capacity of the membrane system be effectively improved, but also its service life can be extended, ensuring the efficient and stable operation of the entire landfill leachate treatment system.

[0122] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A process for treating new pollutants in landfill leachate, characterized in that: The following steps are involved: S1: Enrichment and purification using solid phase extraction technology Filtrate is collected regularly from the landfill leachate treatment system, and the concentration of new pollutants is obtained by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS / MS); S2: In the process of filtering new pollutants, the performance of the membrane system is judged by processing the pressure data, temperature data and concentration difference data, and the interception capacity of the membrane system for pollutants in the landfill leachate sample is obtained, that is, the pressure data, temperature data and concentration difference data before and after filtration of the membrane system used to filter new pollutants are obtained, and the pressure data, temperature data and concentration difference data before and after filtration are processed to generate a normal signal of the membrane system and an abnormal signal of the membrane system; S3: Based on the historical working data of the interception efficiency of the membrane system during the filtration of new pollutants, a prediction mechanism is established to mark the predicted abnormal membrane system; S4: Conduct specific troubleshooting of membrane system performance during the filtration of the marked new contaminants, and promptly repair or replace membrane system failures.

2. The process for treating new pollutants in landfill leachate according to claim 1, characterized in that: If the pollutant retention capacity score is greater than or equal to the pollutant retention capacity score threshold, a normal signal of the membrane system is generated; otherwise, an abnormal signal of the membrane system is generated.

3. The process for treating new pollutants in landfill leachate according to claim 2, characterized in that: Pressure Factor Z pi The acquisition process is: Get the real-time pressure value Pij of each area; Wherein, i represents the number of acquisition areas, i=1, 2, ..., n; represents the jth acquisition point in the i-th area, j=1, 2, ..., n; The pressure values ​​of each area are integrated respectively to obtain a pressure value group, the difference between the maximum pressure value Pimax in the pressure value group and the minimum pressure value Pimin in the pressure value group is calculated to obtain the pressure extreme difference value, and the ratio of the pressure extreme difference value to the average pressure value Piy is calculated to obtain the pressure deviation ratio Sp.

4. The process for treating new pollutants in landfill leachate according to claim 2, characterized in that: Temperature factor Z Ti The acquisition process is: Get the real-time temperature value Tij of each area; The pressure values ​​of each area are integrated separately to obtain a pressure value group; Calculate the difference between the maximum temperature value Timax in the temperature value group and the minimum temperature value Timin in the temperature value group to obtain the extreme difference value; The deviation value is obtained by calculating the difference between the average temperature value Tiy in the temperature value group and the minimum temperature value in the temperature value group, and the standardized score Qi of the temperature value is obtained by calculating the ratio of the extreme difference value to the deviation value.

5. The process for treating new pollutants in landfill leachate according to claim 2, characterized in that: The concentration difference data is processed to obtain the concentration difference factor, which is recorded as Z Di , for the pressure factor Zpi and temperature factor Z Ti and concentration difference factor Z Di to be processed.

6. The process for treating new pollutants in landfill leachate according to claim 1, characterized in that: The process of establishing the prediction mechanism of the retention capacity of the new pollutant membrane system is as follows: Collect the historical working data of the membrane system in time series, and obtain the new pollutant interception capacity Rs of the membrane system in the past period of time by processing the pressure data and temperature data; Among them, s represents the number of points collected in time series; The attenuation rate ε is calculated based on historical data, and a prediction formula is obtained. The abnormal probability Ms is calculated based on the prediction formula; if the predicted abnormal probability Ms is close to a preset threshold, the membrane system is marked.

7. The process for treating new pollutants in landfill leachate according to claim 6, characterized in that: The calculation process of the membrane system's retention attenuation rate ε for new pollutants is: The abnormal probability Ms of the sth collection point is calculated.

8. The process for treating new pollutants in landfill leachate according to claim 1, characterized in that: Membrane systems for new contaminants marked; Identify factors affecting membrane systems, including membrane aging, chemical attack, biofilm growth, and mechanical damage.

9. A process for treating new pollutants in landfill leachate according to claim 8, characterized in that: If there is physical damage on the membrane, use physical methods to repair it; If it is chemical damage, use chemical reagents to clean the membrane and intercept the pollutants; If the membrane assembly is severely damaged or cannot be repaired, it should be replaced with a new one in time. Among them, physical damage refers to the degree of cracks in the membrane system, and chemical damage refers to changes in the membrane structure caused by chemical substances.

10. The process for treating new pollutants in landfill leachate according to claim 8, characterized in that: Since pH fluctuations due to external factors can affect membrane system performance, the pH abnormal fluctuation score J is calculated; If the pH value abnormal fluctuation score J is greater than or equal to the preset pH value abnormal fluctuation score threshold, it means that the abnormal pH value fluctuation causes the performance of the membrane system to be unstable.

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