Greenhouse gas emission monitoring platform based on urban green land ecosystem

Abstract

The invention discloses a greenhouse gas emission monitoring platform based on an urban green land ecosystem, relates to the technical field of greenhouse gas emission monitoring, and solves the technical problem that analysis errors exist due to the fact that the greenhouse gas emission condition of an urban area is not well processed by integrating multi-aspect data. According to the method, the earth surface vegetation spectral information is obtained by using the satellite remote sensing image, and the greenhouse gas emission of each region is accurately calculated by using the linear regression model through statistical analysis of the earth surface actual measurement data, so that the monitoring comprehensiveness and accuracy are improved, and the monitoring efficiency is improved. Innovative statistical analysis is carried out on the vegetation index obtained by satellite remote sensing and the greenhouse gas emission data measured on the ground, the advantages of satellite remote sensing large-area observation and ground measured data accuracy are fully played, the problem of multi-source data fusion is effectively solved, the accuracy of greenhouse gas emission calculation is improved, and the calculation efficiency is improved. And a reliable data basis is provided for subsequent analysis and judgment.

Description

Technical Field

[0001] The present invention relates to the technical field of greenhouse gas emission monitoring, and specifically to a greenhouse gas emission monitoring platform based on the urban green space ecosystem. Background Art

[0002] With the increasingly serious problem of global climate change, as an important part of the urban carbon cycle, the greenhouse gas emission situation of the urban green space ecosystem has received extensive attention.

[0003] The patent application with the publication number CN108225437A discloses a general on-line monitoring system and method for greenhouse gas emissions, including a sampling device, a flue gas monitoring device, a host computer, an electric meter, a heat meter, an independent calculation module, and external devices; the sampling device is divided into multiple groups of sampling pipes and is arranged on the same vertical section of the flue according to the grid sampling method; the flue gas monitoring device includes a temperature measuring instrument, a pressure measuring instrument, a humidity measuring instrument, and a differential pressure gauge.

[0004] The above patent can monitor the greenhouse gas emissions of flue gas, purchased electric power and heat in real time and on-line by measuring the flue gas flow rate, greenhouse gas concentration, purchased electricity quantity, and purchased heat quantity, which is convenient for studying the correlation between the operation situation and greenhouse gas emissions; the independent calculation module is used to calculate the greenhouse gas emissions that are not easy to directly monitor, and the greenhouse gas / O2 measuring instrument is configured with specific measuring instruments as required, which can adapt to different industries; the monitoring method mainly based on direct monitoring and supplemented by indirect monitoring can improve the automation degree of monitoring.

[0005] However, the traditional greenhouse gas emission monitoring mainly relies on discrete measurements at ground stations. This method is not only time-consuming and laborious, but also has a limited monitoring range, and it is difficult to comprehensively reflect the complex greenhouse gas emission distribution in urban areas. Summary of the Invention

[0006] Aiming at the deficiencies of the prior art, the present invention provides a greenhouse gas emission monitoring platform based on the urban green space ecosystem, which solves the problem that the greenhouse gas emission situation in urban areas is not well processed by comprehensively integrating various data, resulting in errors in analysis.

[0007] To achieve the above object, the present invention is realized through the following technical solutions: A greenhouse gas emission monitoring platform based on the urban green space ecosystem, including:

[0008] An urban remote sensing image acquisition unit, which is used to transmit the acquired monitoring urban remote sensing image to the urban area emission calculation unit;

[0009] An urban area emissions calculation unit is used to obtain the surface vegetation spectral information of the monitored city based on the acquired remote sensing images, calculate the greenhouse gas emissions corresponding to different areas of the monitored city according to the surface vegetation spectral information, and transmit the obtained area emissions to the emissions comparison and analysis unit;

[0010] The emissions comparison and analysis unit is used to analyze the greenhouse gas emissions of the urban area obtained, screen the urban area to obtain abnormal areas, analyze and generate monitoring results in combination with the historical data of the abnormal areas, and transmit the increasing results in the monitoring results to the secondary analysis and processing unit;

[0011] The secondary analysis and processing unit is used to analyze the obtained increasing results, calculate the total absorption amount corresponding to the abnormal area, compare the total absorption amount with the total emissions to generate comparison information, determine the specific abnormal reasons according to the comparison information, and then transmit the comparison information and the specific abnormal reasons to the monitoring information output unit;

[0012] The monitoring information output unit is used to display the obtained comparison information and specific abnormal reasons to the corresponding operators.

[0013] As a further solution of the present invention, the specific method for calculating the area emissions calculated by the urban area emissions calculation unit is as follows:

[0014] The monitored area is divided into different urban areas and numbered as n, and n = 1, 2,..., m, where m represents the number of urban areas. At the same time, the remote sensing image corresponding to the urban area n is obtained, and the surface vegetation spectral information corresponding to the urban area is obtained according to the remote sensing image. Then, the vegetation index corresponding to the urban area n is calculated according to the surface vegetation spectral information. According to the calculation formula Calculate the vegetation index NDVI corresponding to the urban area n n , where NIR is the reflectance of the infrared band and R is the reflectance of the red light band;

[0015] Statistically analyze the vegetation index obtained by satellite remote sensing and the ground-measured greenhouse gas emission data. At the same time, according to the linear regression model y n = a×NDVI n +b, calculate the greenhouse gas emissions y corresponding to the urban area n n , where a and b are both fitting coefficients obtained by data fitting, and transmit the calculated greenhouse gas emissions to the emissions comparison and analysis unit.

[0016] As a further solution of the present invention, the specific method for the emissions comparison and analysis unit to analyze the greenhouse gas emissions of the urban area is as follows:

[0017] Obtain the greenhouse gas emissions y of the urban area n , and judge its value. If the greenhouse gas emissions y n are greater than zero, it means that the corresponding urban area is in an absorption situation as a whole, and the urban area is marked as a normal area. On the contrary, if the greenhouse gas emissions y n are less than zero, it means that the corresponding urban area is in an emission situation as a whole, and the urban area is marked as an abnormal area.

[0018] As a further solution of the present invention, the specific way for the emission comparison and analysis unit to generate the monitoring result is as follows:

[0019] Obtain all abnormal areas and label them as a, and a = 1, 2,..., j, where j represents the corresponding number of abnormal areas. At the same time, obtain the historical data of the abnormal area a, and obtain the historical emissions corresponding to the abnormal area a in the historical data. Then, judge the change of the emissions in the abnormal area a according to the historical emissions, and generate a monitoring result, and the monitoring result includes an increase result and a decrease result.

[0020] As a further solution of the present invention, the specific way for the secondary analysis and processing unit to analyze the increase result is as follows:

[0021] Obtain the abnormal area a, and calculate the vegetation absorption amount, soil absorption amount and urban water body absorption amount of the abnormal area a respectively;

[0022] The specific way to calculate the vegetation absorption amount is as follows: Obtain the leaf area index LAI corresponding to the abnormal area a a , and at the same time substitute the obtained leaf area index LAI a into the formula Z a = LAI a ×PAR×α×β to calculate the vegetation absorption amount Z corresponding to the abnormal area a a , where PAR is the photosynthetically active radiation, which can be specifically obtained through meteorological station data or instrument measurement, α is the absorption rate of the leaf to the photosynthetically active radiation, and β is the quantum efficiency of photosynthesis.

[0023] As a further solution of the present invention, the specific way for the secondary analysis and processing unit to calculate the soil absorption amount of the abnormal area is as follows:

[0024] Use a soil respiration meter to measure the soil respiration rate of the abnormal area a, obtain the amount of carbon dioxide released by the soil per unit time, and calculate that the average soil respiration rate corresponding to the abnormal area a is R1 a , obtain the original soil organic carbon content C1 and the final organic carbon content C2 within the time T, and then substitute the obtained parameters into the formula to calculate the soil absorption amount A corresponding to the abnormal area aa 。

[0025] As a further solution of the present invention, the specific method for the secondary analysis and processing unit to calculate the absorption amount of urban water bodies in the abnormal area is as follows:

[0026] Place the floating box on the water surface, obtain the volume V of the floating box, make its bottom opening fully contact with the water body, enclose a certain area S of the water surface, and measure the initial concentration N1 of carbon dioxide in the floating box within the time t a and the final concentration N2 a ,and at the same time substitute the obtained parameters into the formula where R is the ideal gas constant and W is the water temperature, and calculate the absorption amount F of the urban water body corresponding to the abnormal area a a 。

[0027] As a further solution of the present invention, the method for comparing the total absorption amount with the total emission amount to generate comparison information and specific abnormal reasons is as follows:

[0028] Sum up the calculated vegetation absorption amount Z a , soil absorption amount A a and urban water body absorption amount F a to obtain the total absorption amount L of the corresponding area of the abnormal area a a , and at the same time calculate the total emission amount D of the corresponding area of the abnormal area a a , and compare the two. If the total absorption amount L of the area a is greater than the total emission amount D of the area a , it means that the greenhouse gas emission amount in the corresponding area is abnormal, and emission abnormal information is generated. On the contrary, if the total absorption amount L of the area a is less than the total emission amount D of the area a , it means that the greenhouse gas emission amount in the corresponding area is normal, and normal emission information is generated;

[0029] For the generated normal emission information, compare the vegetation absorption amount Z a , soil absorption amount A a and urban water body absorption amount F a of the abnormal area with the normal indicators respectively, screen the absorption amounts corresponding to those lower than the normal indicators, and at the same time generate specific abnormal reasons.

[0030] The present invention provides a greenhouse gas emission monitoring platform based on the urban green space ecosystem. Compared with the prior art, it has the following beneficial effects:

[0031] The present invention obtains the spectral information of surface vegetation by using satellite remote sensing images, and through statistical analysis with ground measured data, uses a linear regression model to accurately calculate the greenhouse gas emissions of each region, improving the comprehensiveness and accuracy of monitoring, and solving the problems of incomplete monitoring range and insufficient accuracy in the prior art;

[0032] An innovative statistical analysis is carried out on the vegetation index obtained by satellite remote sensing and the greenhouse gas emission data measured on the ground. In this way, the advantages of large-area observation by satellite remote sensing and the accuracy of ground measured data are fully utilized, effectively solving the problem of multi-source data fusion. During the calculation process, the fitting coefficients of the linear regression model are obtained through data fitting, improving the accuracy of greenhouse gas emission calculation and providing a reliable data basis for subsequent analysis and judgment.

[0033] For abnormal regions with increased emissions, further calculate their total absorption and total emissions, and compare the differences in the absorption of vegetation, soil, and water bodies with normal indicators. In this way, the specific links leading to abnormal greenhouse gas emissions can be accurately identified, whether it is due to insufficient vegetation cover, decreased soil carbon sequestration ability, or changes in the ecological function of water bodies, etc., can be clearly located, thus providing a scientific basis for urban managers to formulate precise emission reduction measures and ecological restoration strategies. Brief Description of the Drawings

[0034] Figure 1 It is a block diagram of the system principle of the present invention. Detailed Embodiments

[0035] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0036] Embodiment 1, please refer to Figure 1 , the present application provides a greenhouse gas emission monitoring platform based on the urban green space ecosystem, including an urban remote sensing image acquisition unit, an urban area emission calculation unit, an emission comparison and analysis unit, a secondary analysis and processing unit, and a monitoring information output unit, and in combination with Figure 1 it can be known that the above functional units are unidirectionally electrically connected.

[0037] The urban remote sensing image acquisition unit is used to acquire the remote sensing image corresponding to the monitored city, and at the same time transmit the acquired remote sensing image to the urban area emission calculation unit.

[0038] Urban area emission calculation unit, which is used to obtain the surface vegetation spectral information of the monitored city based on the acquired remote sensing image, calculate the greenhouse gas emissions corresponding to different regions of the monitored city according to the surface vegetation spectral information, and transmit the obtained regional emissions to the emission comparison and analysis unit.

[0039] The monitored area is divided into different urban areas and numbered as n, where n = 1, 2,..., m, and m represents the number of urban areas. The division standard here is based on the secondary standard of the city, specifically divided by "district" as the standard. At the same time, the remote sensing image corresponding to urban area n is obtained, and the surface vegetation spectral information corresponding to the urban area is obtained according to the remote sensing image. Here, it specifically refers to the corresponding different bands, such as the near-infrared band and the red light band. Then, the vegetation index corresponding to urban area n is calculated according to the surface vegetation spectral information, and according to the calculation formula Calculate the vegetation index NDVI corresponding to urban area n n , where NIR is the reflectance of the infrared band and R is the reflectance of the red light band. Specifically, the reflectance of the infrared band and the reflectance of the red light band are directly obtained by a spectrometer;

[0040] Statistical analysis is carried out on the vegetation index obtained by satellite remote sensing and the ground-measured greenhouse gas emission data. At the same time, according to the linear regression model y n = a×NDVI n +b, the greenhouse gas emissions y corresponding to urban area n are calculated n , where both a and b are fitting coefficients obtained by data fitting, and the calculated greenhouse gas emissions are transmitted to the emission comparison and analysis unit.

[0041] Emission comparison and analysis unit, which is used to analyze the greenhouse gas emissions of the obtained urban areas, screen the urban areas to obtain abnormal areas, and generate monitoring results by combining the historical data of the abnormal areas, and transmit the monitoring results to the monitoring information output unit.

[0042] Obtain the greenhouse gas emissions y of the urban area n , and judge its value. If the greenhouse gas emissions y n are greater than zero, it means that the corresponding urban area is in an absorption situation as a whole, and the urban area is marked as a normal area. On the contrary, if the greenhouse gas emissions y n are less than zero, it means that the corresponding urban area is in an emission situation as a whole, and the urban area is marked as an abnormal area; for example, if the satellite image shows that the NDVI value of a green area in a certain city is 0.6, where the fitting coefficient a = -0.5 and the fitting coefficient b = 0.1, according to the previously established model y n = -0.5×NDVI n+0.1 is calculated, and the greenhouse gas emissions corresponding to this area are -0.2 kg / m 2 ·h. Further, that is, this area absorbs 0.2 kg of greenhouse gas per square meter per hour, then the corresponding area is marked as a normal area. Conversely, if the fitting coefficient a = 0.5 and the fitting coefficient b = 0.1, the greenhouse gas emissions calculated according to the established model are 0.2 kg / m 2 ·h, that is, this area emits 0.2 kg of greenhouse gas per square meter per hour, and the corresponding area is marked as an abnormal area.

[0043] Then obtain all abnormal areas and label them as a, and a = 1, 2,..., j, where j represents the number of corresponding abnormal areas. At the same time, obtain the historical data of the abnormal area a, and the historical data here is the historical data corresponding to the abnormal area within the time T. The value of the time T is set by the operator himself, and obtain the historical emissions corresponding to the abnormal area a in the historical data. Then judge the change of the emissions in the abnormal area a according to the historical emissions, and generate a monitoring result, and the monitoring result includes an increasing result and a decreasing result.

[0044] Monitoring information output unit, which is used to display the obtained monitoring result to the corresponding operator.

[0045] Embodiment 2, as Embodiment 2 of the present invention, is implemented on the basis of Embodiment 1, and the difference from Embodiment 1 is as follows:

[0046] The emissions comparison and analysis unit transmits the increasing result in the generated monitoring result to the secondary analysis and processing unit for analysis.

[0047] Secondary analysis and processing unit, which is used to analyze the obtained increasing result. Calculate the total absorption amount corresponding to the abnormal area, compare the total absorption amount with the total emissions to generate comparison information, and determine the specific abnormal reason according to the comparison information. Then transmit the comparison information and the specific abnormal reason to the monitoring information output unit.

[0048] Obtain the abnormal area a, and calculate the vegetation absorption amount, soil absorption amount and urban water body absorption amount of the abnormal area a respectively;

[0049] The specific method for calculating the vegetation absorption amount is: obtain the leaf area index LAI corresponding to the abnormal area a a , and the leaf area index refers to the ratio of the total area of plant leaves to the land area per unit land area. For example, pick all the leaves from an urban street tree, measure the total leaf area to be 10 square meters, and the area occupied by the tree is 5 square meters, then the corresponding leaf area index is 2. At the same time, substitute the obtained leaf area index LAI a into the formula Za = LAI a The vegetation absorption Z corresponding to the abnormal area a is calculated by × PAR × α × β a , where PAR is the photosynthetically active radiation, which can be obtained from meteorological station data or measured by instruments. α is the absorption rate of photosynthetically active radiation by leaves (with different value ranges for different vegetation types, generally between 0.4 - 0.8), and β is the quantum efficiency of photosynthesis (about 0.04 - 0.08 mol CO 2 / mol photon). For example, for a forest in an urban area, its leaf area index is measured to be 4. Then, according to the empirical formula or the coefficient obtained from research, α = 0.6, β = 0.6, PAR = 1000, and the units are omitted here. Then, according to the formula, the vegetation absorption Z corresponding to the abnormal area a is calculated a to be 144.

[0050] The specific method for calculating the soil absorption is as follows: First, use a soil respiration measuring instrument (such as the static chamber - gas chromatography method or the dynamic chamber method) to measure the soil respiration rate of the abnormal area a, and obtain the amount of carbon dioxide released by the soil per unit time (for example, the grams of carbon dioxide released per square meter per hour). The average soil respiration rate corresponding to the measured abnormal area a is R1 a , obtain the original soil organic carbon content C1 and the final organic carbon content C2 within the time T, and the specific value of the time T is set by the operator. Then, substitute the obtained parameters into the formula to calculate the soil absorption A corresponding to the abnormal area a a .

[0051] The specific method for calculating the urban water body absorption (based on the in - situ measurement method - floating chamber method) is as follows: Place the floating chamber on the water surface, and obtain the volume V of the floating chamber, making its bottom opening in full contact with the water body. Seal a certain area S (unit: m 2 ) of the water surface, and measure the initial concentration N1 of carbon dioxide in the floating chamber within the time t a and the final concentration N2 a , and the specific value of the time t is set by the operator. At the same time, substitute the obtained parameters into the formula where R is the ideal gas constant and W is the water temperature, and calculate separately according to the minimum temperature and the maximum temperature corresponding to the abnormal area during the calculation, so as to calculate the corresponding interval value, and calculate the urban water body absorption F corresponding to the abnormal area a a ;

[0052] For example, the area of the floating chamber is 1 m 2 , the volume of the gas in the chamber is 0.1 m 3 , the initial carbon dioxide concentration is 1.79×10- 5 mol / m 3 , after 3600 s, the concentration becomes 1.74×10 -5 mol / m 3 , and at the same time, the corresponding water temperature is measured to be 20 °C, and further calculate the absorption amount of urban water bodies according to the above formula.

[0053] Sum up the calculated vegetation absorption amount Z a , soil absorption amount A a and the absorption amount F of urban water bodies a to obtain the total absorption amount L of the corresponding area of the abnormal area a a , and at the same time calculate the total emission amount D of the corresponding area of the abnormal area a a . Specifically, the total emission amount is calculated through a linear regression model, and the two are compared. If the total absorption amount L a is greater than the total emission amount D a , it means that the greenhouse gas emission amount in the corresponding area is abnormal, and emission abnormal information is generated. On the contrary, if the total absorption amount L a is less than the total emission amount D a , it means that the greenhouse gas emission amount in the corresponding area is normal, and emission normal information is generated;

[0054] For the generated emission normal information, compare the vegetation absorption amount Z a , soil absorption amount A a and the absorption amount F of urban water bodies a in the abnormal area with the normal indicators respectively. The specific values of the normal indicators are set by the operator according to the actual situation of the city, and screen the absorption amounts corresponding to those lower than the normal indicators, and at the same time generate specific abnormal reasons.

[0055] Monitoring information output unit, which is used to display the obtained comparison information and specific abnormal reasons to the corresponding operator.

[0056] Example 3. As the third example of the present invention, the difference from Example 2 is that when calculating the vegetation absorption amount in this example, it is calculated by the flux-gradient method, which is based on the vertical gradient changes of carbon dioxide concentration and flux between the atmosphere and the vegetation canopy. Carbon dioxide concentration sensors are set at different heights above and inside the vegetation canopy to measure the change of carbon dioxide concentration with height. At the same time, combined with meteorological data (such as wind speed, temperature, etc.), the diffusion theory is used to calculate the flux of carbon dioxide, that is, the rate of carbon dioxide absorption or release by vegetation.

[0057] When calculating the soil absorption amount, it is calculated by the isotope tracer method, using carbon isotopes (such as 13 C or14 C) Labeling technique, adding labeled carbon sources (such as labeled plant residues or organic fertilizers) to the soil to trace the fate of these labeled carbons in the soil.

[0058] When calculating the absorption amount of urban water bodies, it is calculated by the theoretical calculation method based on Henry's law.

[0059] Example 4, as an example 4 of the present invention, focuses on combining the implementation processes of Example 1, Example 2 and Example 3.

[0060] Some of the data in the above formula are taken for numerical calculation with their dimensions, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0061] The above examples are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A greenhouse gas emission monitoring platform based on urban green space ecosystem, characterized by: include: An urban remote sensing image acquisition unit, used for transmitting the acquired remote sensing images of the monitored city to the urban area emission calculation unit; The urban regional emission calculation unit is used to obtain the spectral information of the surface vegetation of the monitored city based on the acquired remote sensing images, and calculate the corresponding greenhouse gas emissions of different areas of the monitored city based on the spectral information of the surface vegetation, and transmit the obtained regional emissions to the emission comparison and analysis unit; An emission comparison and analysis unit, which is used to analyze the greenhouse gas emissions of the acquired urban area, screen the urban area to obtain abnormal areas, and analyze and generate monitoring results in combination with historical data of the abnormal areas, and transmit the increase results in the monitoring results to the secondary analysis and processing unit; A secondary analysis processing unit is used to analyze the obtained increase result, calculate the total absorption amount corresponding to the abnormal area, and compare the total absorption amount with the total emission amount to generate comparison information, and determine the specific abnormal cause according to the comparison information, and then transmit the comparison information and the specific abnormal cause to the monitoring information output unit; The monitoring information output unit is used to display the obtained comparison information and specific abnormal causes to the corresponding operators.

2. The greenhouse gas emission monitoring platform based on urban green space ecosystem according to claim 1 is characterized in that: The specific method of calculating the regional emissions by the urban regional emissions calculation unit is as follows: The monitoring area is divided into different urban areas and labeled as n, where n = 1, 2, ..., m, where m represents the number of urban areas. At the same time, the remote sensing image corresponding to urban area n is obtained, and the surface vegetation spectral information corresponding to the urban area is obtained based on the remote sensing image. Then, the vegetation index corresponding to urban area n is calculated based on the surface vegetation spectral information. According to the calculation formula Calculate the vegetation index NDVI corresponding to urban area n n , where NIR is the reflectivity in the infrared band, and R is the reflectivity in the red band; The vegetation index obtained by satellite remote sensing and the greenhouse gas emission data measured on the ground were statistically analyzed. n =a×NDVI n + b to calculate the greenhouse gas emissions y corresponding to urban area n n , where a and b are fitting coefficients, obtained by data fitting, and the calculated greenhouse gas emissions are transmitted to the emission comparison analysis unit.

3. The greenhouse gas emission monitoring platform based on urban green space ecosystem according to claim 1 is characterized in that: The specific method for the emission comparison and analysis unit to analyze the greenhouse gas emissions in the urban area is: Get the greenhouse gas emissions y of the urban area n , and judge its value. If the greenhouse gas emissions y n If it is greater than zero, it means that the corresponding urban area is in the absorption state as a whole, and the urban area is marked as a normal area. On the contrary, if the greenhouse gas emissions y n If it is less than zero, it means that the corresponding urban area is in an overall emission situation, and the urban area is marked as an abnormal area.

4. The greenhouse gas emission monitoring platform based on urban green space ecosystem according to claim 1 is characterized in that: The specific method for the emission comparison and analysis unit to generate the monitoring results is: All abnormal areas are obtained and labeled as a, where a=1, 2, ..., j, where j represents the number of abnormal areas. Meanwhile, historical data of abnormal area a are obtained, and historical emissions corresponding to abnormal area a in the historical data are obtained. Then, the emission changes of abnormal area a are determined based on the historical emissions, and monitoring results are generated, including increase results and decrease results.

5. The greenhouse gas emission monitoring platform based on urban green space ecosystem according to claim 1 is characterized in that: The specific method in which the secondary analysis processing unit analyzes the enlargement result is: Obtain the abnormal area a, and calculate the vegetation absorption, soil absorption and urban water absorption of the abnormal area a respectively; The specific method for calculating the vegetation absorption is: obtain the leaf area index LAI corresponding to the abnormal area a a , and the leaf area index LAI is obtained a Substitute into the formula Z a =LAI a ×PAR×α×β to calculate the vegetation absorption Z corresponding to the abnormal area a a , where PAR is photosynthetically active radiation, which can be obtained through weather station data or instrument measurement, α is the absorption rate of leaves to photosynthetically active radiation, and β is the quantum efficiency of photosynthesis.

6. The greenhouse gas emission monitoring platform based on urban green space ecosystem according to claim 5 is characterized in that: The specific method for the secondary analysis processing unit to calculate the soil absorption amount in the abnormal area is: The soil respiration rate of abnormal area a was measured using a soil respiration meter to obtain the amount of carbon dioxide released by the soil per unit time, and the average soil respiration rate corresponding to the abnormal area a was calculated as R1 a , the original soil organic carbon content within time T is recorded as C1 and the final organic carbon content is C2, and then the obtained parameters are substituted into the formula Calculate the soil absorption A corresponding to the abnormal area a a .

7. The greenhouse gas emission monitoring platform based on urban green space ecosystem according to claim 1 is characterized in that: The specific method for the secondary analysis processing unit to calculate the absorption amount of urban water bodies in abnormal areas is: Place the floating box on the surface of the water body, obtain the volume V of the floating box, make its bottom opening fully contact with the water body, close a certain area S of the water surface, and measure the initial concentration N1 of carbon dioxide in the floating box within time t a and the final concentration N2 a , and substitute the obtained parameters into the formula Where R is the ideal gas constant, W is the water temperature, and the absorption of urban water corresponding to abnormal area a is calculated. a .

8. The greenhouse gas emission monitoring platform based on urban green space ecosystem according to claim 1 is characterized in that: The method of comparing the total absorption amount with the total emission amount to generate comparison information and specific abnormal reasons is: The calculated vegetation absorption Z a , Soil absorption A a and urban water absorption F a The total absorption L corresponding to the abnormal area a is obtained by summing up a , and calculate the total regional emissions D corresponding to the abnormal area a a , and compare the two. If the total absorption of the region L a Greater than the total regional emissions D a , it means that the corresponding regional greenhouse gas emissions are abnormal, and the emission abnormality information is generated. On the contrary, if the total regional absorption L a Less than the total regional emissions D a , it means that the greenhouse gas emissions in the corresponding area are normal, and normal emission information is generated; For the generated normal emission information, the vegetation absorption amount Z in the abnormal area is a , Soil absorption A a and urban water absorption F a The results are compared with normal indicators respectively, and the absorption amounts corresponding to those lower than normal indicators are screened, and specific abnormal reasons are generated.

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