A method for measuring greenhouse gas emissions from solid waste disposal processes

Abstract

This invention provides a method and system for calculating greenhouse gas emissions during solid waste disposal. The method includes: Step 1: obtaining preliminary survey results of solid waste landfills; Step 2: obtaining preliminary experimental measurement results; Step 3: if the preliminary experimental measurement results meet the standards, obtaining detection data for the target landfill area; Step 4: obtaining processed data of the detection data; Step 5: calculating a first emission and a second emission; Step 6: comparing the first emission and the second emission to obtain the emission difference, and determining the cause of the difference based on soil index detection data; Step 7: adjusting the calculation scheme and calculating based on the cause of the difference. This invention's method and system for calculating greenhouse gas emissions during solid waste disposal introduces the flux chamber method and the UAV method, determining a coupled calculation scheme based on the cause of the difference between the two emission amounts, thus overcoming the shortcomings of a single detection method and making the calculation scheme more accurate and suitable.

Description

Technical Field

[0001] This invention relates to the field of greenhouse gas measurement technology, and in particular to a method and system for calculating greenhouse gas emissions in the solid waste disposal process. Background Technology

[0002] During the anaerobic landfilling process of solid waste, organic matter degrades under the action of microorganisms, producing a large amount of landfill gas. The biodegradation of organic matter mainly involves five stages: aerobic stage, hydrolysis stage, acidification stage, methanogenesis (CH4) stage, and stabilization stage. Among them, the CH4 generation stage lasts the longest, up to decades. Methane is a greenhouse gas, and quantifying methane emissions is crucial for achieving emission reduction targets and developing relevant action plans.

[0003] Currently, quantitative accounting for greenhouse gases such as methane is mainly conducted based on internationally accepted methods, such as the IPCC (Intergovernmental Panel on Climate Change) assessment. However, direct methane emissions are often calculated using default emission factors and activity data. The estimated methane emission data obtained often differs significantly from the actual methane emissions, failing to meet the needs of methane emission accounting and monitoring in most regions.

[0004] In view of this, there is an urgent need for a method and system for measuring greenhouse gas emissions in the solid waste disposal process, in order to at least address the above-mentioned shortcomings. Summary of the Invention

[0005] One objective of this invention is to provide a method for calculating greenhouse gas emissions during solid waste disposal. This involves conducting preliminary surveys of solid waste landfills and carrying out preliminary experiments based on the survey results to obtain measurement data. When the preliminary experimental measurement results meet preset standards, detection data is acquired and processed to obtain processed data. Based on the processed data, first and second emissions are calculated, and the reasons for the differences in emissions are determined. Based on the reasons for the differences, a calculation scheme is determined by combining the flux chamber method and the UAV method, thus overcoming the shortcomings of a single detection method and resulting in a more accurate and suitable calculation scheme.

[0006] This invention provides a method for calculating greenhouse gas emissions during solid waste disposal, comprising:

[0007] Step 1: Conduct a preliminary survey of solid waste landfills and obtain the preliminary survey results;

[0008] Step 2: Conduct a preliminary experiment based on the preliminary survey results and obtain the preliminary experiment measurement results;

[0009] Step 3: If the preliminary experimental measurement results meet the preset standards, obtain the detection data of the target landfill area;

[0010] Step 4: Process the detection data to obtain processed data; the processed data includes: greenhouse gas flux processing dataset and greenhouse gas concentration processing dataset;

[0011] Step 5: Obtain the first emission amount based on the greenhouse gas flux processing dataset, and simultaneously obtain the second emission amount based on the greenhouse gas concentration processing dataset;

[0012] Step 6: Compare the first and second emissions to obtain the difference in emissions, and determine the cause of the difference based on the soil index test data of the target landfill area;

[0013] Step 7: Adjust the calculation scheme according to the reasons for the discrepancies, and calculate the greenhouse gas emissions of the solid waste disposal process according to the calculation scheme.

[0014] Preferably, step 1: conduct a preliminary survey of the solid waste landfill and obtain the preliminary survey results, including:

[0015] A preliminary survey of solid waste landfills was conducted to obtain engineering parameters for different types of pre-selected landfill areas. The engineering parameters included: landfill technology, waste type and physicochemical parameters, landfill time, leachate treatment information, landfill area information, and flare operation information.

[0016] The engineering parameters were used as the results of the preliminary survey.

[0017] Preferably, step 3: If the preliminary experimental measurement results meet the preset standards, obtain the detection data of the target landfill area, including:

[0018] If the preliminary experimental measurement results meet the preset standards, greenhouse gas flux will be detected for each type of target landfill area based on the flux chamber method to obtain a greenhouse gas flux detection dataset.

[0019] Greenhouse gas concentration detection datasets were obtained by using drones to detect greenhouse gas concentrations in various types of target landfill areas.

[0020] Both the greenhouse gas flux detection dataset and the greenhouse gas concentration detection dataset were used as the detection data.

[0021] Preferably, step 4: Process the detection data to obtain processed data, including:

[0022] The test data is screened for validity, analyzed for accuracy, and integrated for normalization to obtain processed data.

[0023] Preferably, step 5: Obtain the first emission amount based on the greenhouse gas flux processing dataset, and simultaneously obtain the second emission amount based on the greenhouse gas concentration processing dataset, including:

[0024] Based on the preliminary survey results, the area of ​​each type of landfill area was obtained;

[0025] Analyze the greenhouse gas flux processing dataset to obtain greenhouse gas flux data for each type of landfill area;

[0026] Based on the regional area and greenhouse gas flux data, the first emission is calculated using the following formula:

[0027]

[0028] Among them, Q 1n As the first emission level, ER n For greenhouse gas flux data of landfill area of ​​type n, S n Let N be the area of ​​the landfill of type n, and N be the total number of landfill types.

[0029] Analyze the greenhouse gas concentration processing dataset to obtain emission data for each type of landfill area;

[0030] Based on the emission data, the second emission amount is calculated using the following formula:

[0031]

[0032] Among them, Q 2n For the second largest emission, F n This refers to the emission data for landfill areas of type n.

[0033] Preferably, step 6: compare the first emission amount and the second emission amount to obtain the emission difference, and determine the cause of the difference based on the soil index detection data of the target landfill area, including:

[0034] A chart showing the range of measurement values ​​is determined based on the first and second emission levels.

[0035] Obtain the set of flux box setting points, and collect soil index detection data of the target landfill area based on the set of flux box setting points;

[0036] Based on the measurement range chart and soil index test data, determine the reasons for the discrepancies.

[0037] Preferably, step 7: Adjust the calculation scheme according to the reasons for the difference, and calculate the greenhouse gas emissions of the solid waste disposal process according to the calculation scheme, including:

[0038] Based on the reasons for the differences, the first target area suitable for using the flux chamber method and the second target area suitable for using the unmanned aerial vehicle method were determined respectively.

[0039] First measurement data of the first target area was collected using the flux chamber method, and second measurement data of the second target area was collected using the UAV method.

[0040] The first and second calculation data are used together as the greenhouse gas emission calculation results.

[0041] Preferably, based on the measurement range chart and soil index test data, the reasons for the differences are determined, including:

[0042] Identify outliers based on the measurement range chart;

[0043] Identify outlier locations based on outlier values;

[0044] Based on the locations of abnormal points, determine the sub-data of soil index detection;

[0045] Based on the preset feature extraction template, the first feature set is determined according to the soil index detection sub-data;

[0046] Based on the aforementioned feature extraction template, a second feature set is determined according to the target landfill area where the outlier is located;

[0047] Determine the difference feature set based on the first feature set and the second feature set;

[0048] Construct the first difference vector based on the difference feature set;

[0049] Obtain the second difference vector and the verification reason corresponding to the second difference vector;

[0050] Based on the pre-defined CNN model, an inductive model for summarizing the causes of differences is constructed according to the second difference vector and the verification causes of differences.

[0051] Input the first difference vector into the difference cause induction model to obtain the difference causes.

[0052] This invention provides a greenhouse gas emission measurement system for solid waste disposal processes, comprising:

[0053] The pre-survey results acquisition subsystem is used to conduct pre-surveys of solid waste landfills and obtain pre-survey results;

[0054] The pre-experiment measurement result acquisition subsystem is used to conduct pre-experiments based on pre-survey results and acquire pre-experiment measurement results.

[0055] The detection data determination subsystem is used to obtain detection data of the target landfill area if the pre-experiment measurement results meet the preset standards.

[0056] The detection data processing subsystem is used to process the detection data to obtain processed data; the processed data includes: greenhouse gas flux processing dataset and greenhouse gas concentration processing dataset.

[0057] The emissions calculation subsystem is used to obtain the first emissions based on the greenhouse gas flux processing dataset, and at the same time, to obtain the second emissions based on the greenhouse gas concentration processing dataset.

[0058] The difference cause determination subsystem is used to compare the first emission amount and the second emission amount to obtain the emission difference, and to determine the cause of the difference based on the soil index detection data of the target landfill area;

[0059] The calculation subsystem is used to adjust the calculation scheme according to the reasons for the discrepancies, and to calculate the greenhouse gas emissions of the solid waste disposal process based on the calculation scheme.

[0060] Preferably, the pre-survey results acquisition subsystem includes:

[0061] The pre-survey module is used to conduct pre-surveys of solid waste landfills and obtain engineering parameters for different types of pre-selected landfill areas. The engineering parameters include: landfill technology, waste type and physicochemical parameters, landfill time, leachate treatment information, landfill area information, and flare operation information.

[0062] The first integration module is used to incorporate engineering parameters as preliminary survey results.

[0063] Preferably, the detection data determination subsystem includes:

[0064] The first detection module is used to detect greenhouse gas flux in various types of target landfill areas based on the flux chamber method if the pre-experiment measurement results meet the preset standards, and to obtain a greenhouse gas flux detection dataset.

[0065] The second detection module is used to detect greenhouse gas concentrations in various types of target landfill areas using drones and to obtain greenhouse gas concentration detection datasets.

[0066] The second integration module is used to combine the greenhouse gas flux detection dataset and the greenhouse gas concentration detection dataset as detection data.

[0067] The beneficial effects of this invention are as follows:

[0068] This invention conducts preliminary surveys of solid waste landfills and, based on the survey results, performs preliminary experiments to obtain measurement results. When the preliminary experimental measurement results meet preset standards, detection data is acquired and processed to obtain processed data. Based on the processed data, the first and second emission amounts are calculated, and the reasons for the difference in emission amounts are determined. Based on the reasons for the difference, a calculation scheme is determined by combining the flux chamber method and the UAV method, thus overcoming the shortcomings of a single detection method and making the calculation scheme more accurate and suitable.

[0069] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in this application.

[0070] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0071] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0072] Figure 1 This is a schematic diagram of a method for calculating greenhouse gas emissions in a solid waste disposal process according to an embodiment of the present invention;

[0073] Figure 2 This is a data analysis graph of the preliminary experimental measurement results of a greenhouse gas emission measurement system for solid waste disposal process according to an embodiment of the present invention;

[0074] Figure 3 This is a data analysis graph of another preliminary experimental measurement result of a greenhouse gas emission measurement system for solid waste disposal process according to an embodiment of the present invention;

[0075] Figure 4 This is a data analysis graph of another preliminary experimental measurement result of a greenhouse gas emission measurement system for solid waste disposal process according to an embodiment of the present invention;

[0076] Figure 5 This is a data analysis graph of another preliminary experimental measurement result of a greenhouse gas emission measurement system for solid waste disposal process according to an embodiment of the present invention;

[0077] Figure 6 This is a schematic diagram of another preliminary experimental measurement result of a greenhouse gas emission measurement system for solid waste disposal process according to an embodiment of the present invention;

[0078] Figure 7This is a schematic diagram of the flux chamber sampling point and the flight path of a drone in an embodiment of the present invention for a greenhouse gas emission measurement system used in a solid waste disposal process;

[0079] Figure 8 A schematic diagram of a greenhouse gas emission measurement system for solid waste disposal process in an embodiment of the present invention. Detailed Implementation

[0080] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0081] This invention provides a method for calculating greenhouse gas emissions during solid waste disposal processes, such as... Figure 1 As shown, it includes:

[0082] Step 1: Conduct a preliminary survey of the solid waste landfill and obtain the preliminary survey results. The preliminary survey involves conducting an initial survey of the solid waste landfill through literature review to obtain preliminary survey information, including: landfill sealing process, types of waste and physicochemical parameters of the landfill area, landfill time, leachate treatment information, landfill area information, flare operation information, and engineering parameters of the area of ​​different types of landfills.

[0083] Step 2: Conduct a preliminary experiment based on the preliminary survey results and obtain the preliminary experiment measurement results; wherein, the preliminary experiment is: measuring the CH4 emission concentration over the landfill area using an unmanned aerial vehicle (UAV)-online real-time monitoring system; the preliminary experiment measurement results are: the CH4 emission concentration values ​​measured in the preliminary experiment;

[0084] Step 3: If the preliminary experimental measurement results meet the preset standards, obtain the detection data of the target landfill area; wherein, the preset standards are: the range of the detection instrument; the effective range and monitoring accuracy of the flux chamber-online monitoring instrument are: measurement range 0-100ppm, accuracy (1σ) 5-second signal average 0.25ppb@2ppm, 1-second signal average 0.60ppb@2ppm, and the effective range of methane of the UAV-online real-time detection system is 1-15000ppm; the detection data are: greenhouse gas flux monitoring dataset detected by the flux chamber method and greenhouse gas concentration dataset detected by the UAV.

[0085] Step 4: Process the detection data to obtain processed data; the processed data includes: greenhouse gas flux processing dataset and greenhouse gas concentration processing dataset; the data processing includes: validity screening, accuracy analysis and normalization integration.

[0086] Step 5: Obtain the first emission amount based on the greenhouse gas flux processing dataset, and simultaneously obtain the second emission amount based on the greenhouse gas concentration processing dataset; wherein, the first emission amount is: the total amount of greenhouse gas (methane) emitted from solid waste landfills calculated using the flux chamber method; the second emission amount is: the total amount of greenhouse gas calculated using the drone method;

[0087] Step 6: Compare the first and second emissions to obtain the difference in emissions, and determine the cause of the difference based on the soil index detection data of the target landfill area; wherein, the soil index detection data is obtained by: for the sampling points detected by the flux chamber method, preserving soil samples according to national standards, and then testing the samples to obtain soil index data; when determining the cause of the difference, compare the calculation results of greenhouse gas emissions detected by two different scales under similar meteorological conditions.

[0088] Step 7: Adjust the calculation scheme according to the reasons for the discrepancies, and calculate the greenhouse gas emissions of the solid waste disposal process according to the calculation scheme. The calculation scheme is as follows: a calculation method that couples flux chamber method and drone method to obtain the results based on the reasons for the differences. For flux chamber method, although multi-point sampling is adopted, many sampling areas in the site are difficult to access manually, and the final average emission result of a single area cannot well represent the overall situation, resulting in overestimation. For drone method, some monitoring points could not obtain effective data using flux chamber method (e.g., negative values ​​appeared), which weakened the grasp of the emission situation of the entire area. Therefore, drone method can make up for the shortcoming of limited detection range of flux chamber method. Flux chamber method, based on its obvious advantages (longer detection time, accurate point monitoring, etc.), complements drone method. Based on the adjusted calculation scheme (drone method to identify high greenhouse gas emission areas in the site, then use flux chamber method to conduct "point-to-point" monitoring of the site, combined with soil index analysis, etc.), the reasons for high greenhouse gas emissions can be found and effective emission reduction measures can be proposed.

[0089] The working principle and beneficial effects of the above technical solution are as follows:

[0090] This application involves a preliminary survey of solid waste landfills and, based on the survey results, preliminary experiments to obtain measurement results. During the preliminary experiments, a monitoring point is randomly selected in each target landfill area within the site to detect greenhouse gas fluxes. When the preliminary experimental measurement results meet preset standards, the detection data is acquired and processed to obtain the processed data. To determine whether the preliminary experimental measurement results meet the preset standards, for example, the data analysis graph of the flux chamber method's preliminary experimental measurement results is shown below. Figures 2-5 As shown, the area between the dead zone and the stopping time lines is the effective calculation area. The scatter points represent real-time monitoring data. This patent uses the flux results obtained through linear fitting. Figure 2 The data analysis graph for target landfill area A shows that the CH4 flux at the monitoring points in area A is 1.27 nmol / m³. -2 s -1 ; Figure 3 The data analysis graph for target landfill area B shows that the CH4 flux at the monitoring points in area B is 3.64 nmol / m³. -2 s -1 ; Figure 4 The data analysis graph for target landfill area C shows that the CH4 flux at the monitoring points in area C is 0.39 nmol / m³. -2 s -1 ; Figure 5 The data analysis graph for target landfill area D shows that the CH4 flux at the monitoring points in area D is 2.73 nmol / m³. -2 s -1 .Depend on Figures 2-5 It can be seen that the CH4 concentration during monitoring was approximately in the range of 2000-2800 ppb, and the data results were within the effective range of the detection instrument. Furthermore, in the process of obtaining the flux through linear fitting of the data, R² > 0.9 (obtained automatically by the instrument; the above data was obtained by consulting data software). Therefore, the flux chamber-online real-time detection instrument can be used to monitor CH4 emission flux in this type of landfill area. Preliminary experimental measurement results using the UAV method are as follows... Figure 6 As shown; by Figure 6 The preliminary experimental measurements showed that methane emission concentrations ranged from 1 to 15,000 ppm, falling within the effective range of the UAV detection instrument. The preliminary experiments demonstrated that a UAV-based online real-time detection system can be used to detect methane emission concentrations in this type of landfill. Finally, the first and second emission amounts were calculated based on the processed data, and the reasons for the differences were determined. Based on these reasons, a calculation scheme was determined by combining the flux chamber method and the UAV method, overcoming the limitations of a single detection method. This more accurate and appropriate calculation scheme helps guide the formulation of greenhouse gas emission reduction measures.

[0091] In one embodiment, step 1: conduct a preliminary survey of the solid waste landfill and obtain the preliminary survey results, including:

[0092] A preliminary survey of solid waste landfills was conducted to obtain engineering parameters for different types of pre-selected landfill areas. The engineering parameters included: landfill technology, waste type and physicochemical parameters, landfill time, leachate treatment information, landfill area information, and flare operation information.

[0093] The engineering parameters were used as the results of the preliminary survey.

[0094] The working principle and beneficial effects of the above technical solution are as follows:

[0095] This application conducts a preliminary survey of solid waste landfills to obtain information on the sealing process, waste type and physicochemical parameters, landfill time, leachate treatment, landfill area, and flare operation of the pre-selected landfill sites, thereby improving the comprehensiveness and rationality of the preliminary survey.

[0096] In one embodiment, step 3: If the pre-experiment measurement results meet the preset standards, obtain the detection data of the target landfill area, including:

[0097] If the preliminary experimental measurement results meet the preset standards, greenhouse gas flux detection will be carried out on various types of target landfill areas based on the flux chamber method to obtain a greenhouse gas flux detection dataset. When conducting greenhouse gas flux detection on various types of target landfill areas based on the flux chamber method, the sampling points of each target landfill area are randomly selected from the population. Generally, at least 3 sampling points are set for each target landfill area, and at least one sampling point is set for target landfill areas with deeper geographical locations.

[0098] Greenhouse gas concentration detection datasets were obtained by using drones to detect greenhouse gas concentrations in various types of target landfill areas. Specifically, when using drones to detect greenhouse gas concentrations in various types of target landfill areas, the flight path of the drone system was manually planned by professional engineers (certified pilots) based on the actual terrain of the site. The flight area covered the entire site, the flight altitude was the minimum altitude for effective obstacle avoidance, the flight speed was 1 m / s, and the online real-time detection system recorded concentration, wind vector, and location data per second. Each target landfill area was aerially surveyed at least 3 times.

[0099] Both the greenhouse gas flux monitoring dataset and the greenhouse gas concentration monitoring dataset were used as the monitoring data. Figure 7 A schematic diagram of the flux chamber sampling points and UAV flight paths for target landfill areas A, B, C, and D.

[0100] The working principle and beneficial effects of the above technical solution are as follows:

[0101] This application introduces two methods for greenhouse gas detection: flux chamber method and UAV method, to prepare data for subsequent analysis.

[0102] In one embodiment, step 4: Processing the detection data to obtain processed data includes:

[0103] The detection data undergoes validity screening, accuracy analysis, and normalization integration to obtain processed data. Validity screening involves removing abnormal flux monitoring results, including negative values ​​and R0. 2Values ​​<0.9; Accuracy analysis is: determining whether there is systematic or random error by repeatedly monitoring the same location; Normalization integration is: integrating the effective data after removing outlier and error data.

[0104] The working principle and beneficial effects of the above technical solution are as follows:

[0105] This application processes the collected detection data, filters out valid and accurate data and normalizes it, thereby improving the reliability and usability of the processed data.

[0106] In one embodiment, step 5: obtaining a first emission amount based on the greenhouse gas flux processing dataset, and simultaneously obtaining a second emission amount based on the greenhouse gas concentration processing dataset, including:

[0107] Based on the preliminary survey results, the area of ​​each type of landfill area is obtained; where the area is: the area of ​​the landfill area;

[0108] Analyze the greenhouse gas flux processing dataset to obtain greenhouse gas flux data for each type of landfill area;

[0109] Based on the regional area and greenhouse gas flux data, the first emission is calculated using the following formula:

[0110]

[0111] Among them, Q 1n As the first emission level, ER n For greenhouse gas flux data of landfill area of ​​type n, S n Let N be the area of ​​the landfill of type n, and N be the total number of landfill types.

[0112] Analyze the greenhouse gas concentration processing dataset to obtain emission data for each type of landfill area;

[0113] Based on greenhouse gas concentration data, the second emission level is calculated using the following formula:

[0114]

[0115] Among them, Q 2n For the second largest emission, F n This refers to the emission data for landfill areas of type n.

[0116] The working principle and beneficial effects of the above technical solution are as follows:

[0117] This application analyzes the preliminary survey results to obtain the area of ​​the landfill site, and calculates the first emission amount based on the area and greenhouse gas flux data. Based on the emission data, the second emission amount is calculated. This improves the accuracy of emission calculations.

[0118] In one embodiment, step 6: comparing the first emission amount and the second emission amount to obtain the emission difference, and determining the cause of the difference based on soil index detection data of the target landfill area, including:

[0119] Based on the first and second emissions, a measurement range chart is determined; the measurement range chart is a comparison chart of the first and second emissions.

[0120] Obtain the set of flux chamber location points, and collect soil index detection data of the target landfill area based on the set of flux chamber location points; wherein, the set of flux chamber location points is: the set of sampling points set by the flux chamber.

[0121] Based on the measurement range chart and soil index test data, determine the reasons for the differences. Specifically, the reasons for the differences are analyzed and explained based on the measurement range chart and soil index test data from different locations or samples.

[0122] The working principle and beneficial effects of the above technical solution are as follows:

[0123] This application introduces a measurement range chart and collects soil index testing data for the target landfill area based on a set of points set up using flux boxes. The causes of discrepancies are determined based on the measurement range chart and the soil index testing data, making the determination of these causes more appropriate.

[0124] In one embodiment, step 7: Adjusting the calculation scheme according to the reasons for the discrepancy, and calculating the greenhouse gas emissions of the solid waste disposal process according to the calculation scheme, including:

[0125] Based on the reasons for the differences, a first target area suitable for using the flux chamber method and a second target area suitable for using the drone method were determined. The first target area is: the area in the solid waste landfill suitable for measurement using the flux chamber method, such as: the area not covered by vegetation and convenient for setting up the flux chamber in windy weather, or the area with good operation and maintenance and where greenhouse gas emissions were found to be relatively low in the preliminary experiments. The second target area is: the area in the solid waste landfill suitable for measurement using the drone method, such as: the large area covered by vegetation in sunny weather, or the area where the flare is burned during biogas treatment.

[0126] First calculation data for the first target area was collected using the flux chamber method, and second calculation data for the second target area was collected using the unmanned aerial vehicle (UAV) method; the calculation data consisted of greenhouse gas content measurement data.

[0127] The first and second calculation data are used together as the greenhouse gas emission calculation results.

[0128] The working principle and beneficial effects of the above technical solution are as follows:

[0129] This application introduces the reasons for the differences, and based on these reasons, determines a first target area suitable for the flux chamber method and a second target area suitable for the unmanned aerial vehicle (UAV) method. It then couples the flux chamber method and the UAV method to determine the calculation scheme and, based on the calculation scheme, determines the greenhouse gas emission calculation results.

[0130] In one embodiment, determining the cause of the discrepancy based on a measurement range chart and soil index testing data includes:

[0131] Based on the measurement range chart, identify outliers; outliers are values ​​in the measurement range chart that deviate significantly from the surrounding data points.

[0132] Based on the outliers, the outlier locations are determined; where the outlier locations are: the sampling points on the ground where the flux chamber box corresponding to the outlier is located;

[0133] Based on the abnormal locations, soil index detection sub-data is determined; among them, the soil index detection data corresponds to the data at the abnormal locations.

[0134] Based on the preset feature extraction template, the first feature set is determined according to the soil index detection sub-data; wherein, the preset feature extraction template is: a pre-set template for extracting data features from the soil index detection sub-data, and the data features in the soil index detection sub-data are: soil component type and soil component content;

[0135] Based on the aforementioned feature extraction template, a second feature set is determined according to the target landfill area where the outliers are located; wherein, the second feature set is: the data features of soil index detection data of the target landfill area excluding outlier locations;

[0136] Based on the first feature set and the second feature set, a difference feature set is determined; wherein, the difference feature set is: a set consisting of the differences between data features of the same feature type in the first feature set and the second feature set;

[0137] Based on the set of differences in features, a first difference vector is constructed; where, when constructing the first difference vector, the column attributes represent the feature types, and the element values ​​of each column represent the differences in data features of the corresponding column's feature type.

[0138] Obtain the second difference vector and the corresponding verified difference cause; the construction principle of the second difference vector is the same as that of the first difference vector, the difference being that the second difference vector is extracted from the historical difference analysis records in which the accuracy of the difference cause has been verified; the verified difference cause is: the difference cause that was correctly analyzed in the past;

[0139] Based on the pre-defined CNN model, a difference cause induction model is constructed according to the second difference vector and the verification difference cause; wherein, the difference cause induction model is: a deep learning model for difference cause induction;

[0140] Input the first difference vector into the difference cause induction model to obtain the difference causes.

[0141] The working principle and beneficial effects of the above technical solution are as follows:

[0142] This application introduces a measurement range chart to identify outliers. Based on the outliers, it identifies the sampling points on the ground corresponding to the flux chamber boxes and obtains soil index detection sub-data for the outlier locations. A feature extraction template is introduced to determine a first feature set of the soil index detection sub-data and a second feature set of the target landfill area excluding the sampling points corresponding to the outliers. Based on the first and second feature sets, a difference feature set is determined, and a first difference vector is constructed based on this set. The second difference vector and its corresponding verification reasons are obtained. A difference reason induction model is trained based on the second difference vector and the verification reasons. The first difference vector is input into the difference reason induction model to obtain the difference reasons, thus improving the accuracy of difference reason acquisition.

[0143] This invention provides a greenhouse gas emission measurement system for solid waste disposal processes, such as... Figure 8 As shown, it includes:

[0144] Preliminary survey results acquisition subsystem 1 is used to conduct preliminary surveys of solid waste landfills and obtain preliminary survey results;

[0145] Pre-experiment measurement result acquisition subsystem 2 is used to conduct pre-experiments based on pre-survey results and acquire pre-experiment measurement results.

[0146] The detection data determination subsystem 3 is used to obtain detection data of the target landfill area if the pre-experiment measurement results meet the preset standards.

[0147] The detection data processing subsystem 4 is used to process the detection data to obtain processed data; the processed data includes: greenhouse gas flux processing dataset and greenhouse gas concentration processing dataset.

[0148] The emission calculation subsystem 5 is used to obtain the first emission amount based on the greenhouse gas flux processing dataset, and at the same time, to obtain the second emission amount based on the greenhouse gas concentration processing dataset.

[0149] The difference cause determination subsystem 6 is used to compare the first emission amount and the second emission amount to obtain the emission difference, and to determine the cause of the difference based on the soil index detection data of the target landfill area;

[0150] The calculation subsystem 7 is used to adjust the calculation scheme according to the reasons for the difference, and to calculate the greenhouse gas emissions of the solid waste disposal process according to the calculation scheme.

[0151] In one embodiment, the pre-survey results acquisition subsystem includes:

[0152] The pre-survey module is used to conduct pre-surveys of solid waste landfills and obtain engineering parameters for different types of pre-selected landfill areas. The engineering parameters include: landfill technology, waste type and physicochemical parameters, landfill time, leachate treatment information, landfill area information, and flare operation information.

[0153] The first integration module is used to incorporate engineering parameters as preliminary survey results.

[0154] In one embodiment, the detection data determination subsystem includes:

[0155] The first detection module is used to detect greenhouse gas flux in various types of target landfill areas based on the flux chamber method if the pre-experiment measurement results meet the preset standards, and to obtain a greenhouse gas flux detection dataset.

[0156] The second detection module is used to detect greenhouse gas concentrations in various types of target landfill areas using drones and to obtain greenhouse gas concentration detection datasets.

[0157] The second integration module is used to combine the greenhouse gas flux detection dataset and the greenhouse gas concentration detection dataset as detection data.

[0158] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for calculating greenhouse gas emissions during solid waste disposal processes, characterized in that, include: Step 1: Conduct a preliminary survey of solid waste landfills and obtain the preliminary survey results; Step 2: Conduct a preliminary experiment based on the preliminary survey results and obtain the preliminary experiment measurement results; Step 3: If the pre-experiment measurement results meet the preset standards, obtain the detection data of the target landfill area, including: if the pre-experiment measurement results meet the preset standards, perform greenhouse gas flux detection on various types of target landfill areas based on the flux chamber method, and obtain a greenhouse gas flux detection dataset; perform greenhouse gas concentration detection on various types of target landfill areas using UAVs, and obtain a greenhouse gas concentration detection dataset; use both the greenhouse gas flux detection dataset and the greenhouse gas concentration detection dataset as the detection data. Step 4: Process the detection data to obtain processed data; the processed data includes: greenhouse gas flux processing dataset and greenhouse gas concentration processing dataset; Step 5: Obtain the first emission amount based on the greenhouse gas flux processing dataset, and simultaneously obtain the second emission amount based on the greenhouse gas concentration processing dataset. This includes: obtaining the area of ​​each type of landfill based on the preliminary survey results; parsing the greenhouse gas flux processing dataset to obtain the greenhouse gas flux data for each type of landfill; and calculating the first emission amount based on the area and greenhouse gas flux data. The formula for calculating the first emission amount is as follows: in, As the first emission level, For greenhouse gas flux data of landfill area of ​​type n, Let N be the area of ​​the landfill of type n, and N be the total number of landfill types. Parse the greenhouse gas concentration processing dataset to obtain emission data for each type of landfill. Based on the emission data, calculate the second emission amount using the following formula: in, As the second largest emission, Emission data for landfill area of ​​type n; Step 6: Compare the first and second emissions to obtain the difference in emissions, and determine the cause of the difference based on the soil index test data of the target landfill area; Step 7: Adjust the calculation scheme according to the reasons for the discrepancies, and calculate the greenhouse gas emissions of the solid waste disposal process according to the calculation scheme, including: determining the first target area suitable for using the flux chamber method and the second target area suitable for using the drone method according to the reasons for the discrepancies; collecting the first calculation data of the first target area using the flux chamber method, and collecting the second calculation data of the second target area using the drone method; and using the first calculation data and the second calculation data together as the greenhouse gas emission calculation result.

2. The method for calculating greenhouse gas emissions in a solid waste disposal process as described in claim 1, characterized in that, Step 1: Conduct a preliminary survey of the solid waste landfill and obtain the preliminary survey results, including: A preliminary survey of solid waste landfills was conducted to obtain engineering parameters for different types of pre-selected landfill areas. The engineering parameters included: landfill technology, waste type and physicochemical parameters, landfill time, leachate treatment information, landfill area information, and flare operation information. The engineering parameters were used as the results of the preliminary survey.

3. The method for calculating greenhouse gas emissions in a solid waste disposal process as described in claim 1, characterized in that, Step 4: Process the detection data to obtain processed data, including: The test data is screened for validity, analyzed for accuracy, and integrated for normalization to obtain processed data.

4. The method for calculating greenhouse gas emissions in a solid waste disposal process as described in claim 1, characterized in that, Step 6: Compare the first and second emissions to obtain the difference in emissions, and determine the reasons for the difference based on soil index testing data of the target landfill area, including: A chart showing the range of measurement values ​​is determined based on the first and second emission levels. Obtain the set of flux box setting points, and collect soil index detection data of the target landfill area based on the set of flux box setting points; Based on the measurement range chart and soil index test data, determine the reasons for the discrepancies.

5. A greenhouse gas emission measurement system for solid waste disposal processes, characterized in that, include: The pre-survey results acquisition subsystem is used to conduct pre-surveys of solid waste landfills and obtain pre-survey results; The pre-experiment measurement result acquisition subsystem is used to conduct pre-experiments based on pre-survey results and acquire pre-experiment measurement results. The detection data determination subsystem is used to obtain detection data of the target landfill area if the pre-experiment measurement results meet the preset standards. The detection data determination subsystem includes: a first detection module, used to detect greenhouse gas flux in various types of target landfill areas based on the flux chamber method if the pre-experiment measurement results meet the preset standards, and obtain a greenhouse gas flux detection dataset; a second detection module, used to detect greenhouse gas concentration in various types of target landfill areas using a drone, and obtain a greenhouse gas concentration detection dataset; and a second integration module, used to combine the greenhouse gas flux detection dataset and the greenhouse gas concentration detection dataset as detection data. The detection data processing subsystem is used to process the detection data to obtain processed data; the processed data includes: greenhouse gas flux processing dataset and greenhouse gas concentration processing dataset. An emissions calculation subsystem is used to obtain a first emissions amount based on a greenhouse gas flux processing dataset, and a second emissions amount based on a greenhouse gas concentration processing dataset. Specifically, the emissions calculation subsystem is used to: obtain the area of ​​each type of landfill area based on preliminary survey results; parse the greenhouse gas flux processing dataset to obtain greenhouse gas flux data for each type of landfill area; and calculate the first emissions amount based on the area and greenhouse gas flux data. The formula for calculating the first emissions amount is as follows: in, As the first emission level, For greenhouse gas flux data of landfill area of ​​type n, Let N be the area of ​​the landfill of type n, and N be the total number of landfill types. Parse the greenhouse gas concentration processing dataset to obtain emission data for each type of landfill. Based on the emission data, calculate the second emission amount using the following formula: in, As the second largest emission, Emission data for landfill area of ​​type n; The difference cause determination subsystem is used to compare the first emission amount and the second emission amount to obtain the emission difference, and to determine the cause of the difference based on the soil index detection data of the target landfill area; The calculation subsystem is used to adjust the calculation scheme according to the reasons for the discrepancies, and to calculate the greenhouse gas emissions of the solid waste disposal process according to the calculation scheme. Specifically, the calculation subsystem is used to: determine a first target area suitable for using the flux chamber method and a second target area suitable for using the unmanned aerial vehicle (UAV) method according to the reasons for the discrepancies; collect first calculation data of the first target area using the flux chamber method, and simultaneously collect second calculation data of the second target area using the UAV method; and use the first calculation data and the second calculation data together as the greenhouse gas emission calculation result.

6. The greenhouse gas emission measurement system for solid waste disposal processes as described in claim 5, characterized in that, The pre-survey results acquisition subsystem includes: The pre-survey module is used to conduct pre-surveys of solid waste landfills and obtain engineering parameters for different types of pre-selected landfill areas. The engineering parameters include: landfill technology, waste type and physicochemical parameters, landfill time, leachate treatment information, landfill area information, and flare operation information. The first integration module is used to incorporate engineering parameters as preliminary survey results.

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