An evaluation method for synergistic effect of urban forest in pollution reduction and carbon reduction

Abstract

The present application belongs to the field of pollution reduction and carbon reduction evaluation, and in particular to an evaluation method for the synergistic effect of urban forest pollution reduction and carbon reduction; Based on the data calculated by dividing each region, the chart drawn is more intuitive to reflect the synergistic effect of pollution reduction and carbon reduction in each region, providing data support for the evaluation group to evaluate the overall synergistic effect of pollution reduction and carbon reduction of urban forest, so that in the case that the evaluation group is limited in manpower and material resources and cannot fully monitor and obtain data of the entire urban forest, the synergistic effect of pollution reduction and carbon reduction of the urban forest coverage area can be efficiently evaluated, and data support is also provided for subsequent urban planning schemes such as green area planning of each region, energy saving and emission reduction plan of factory, traffic arrangement, etc.

Description

Technical Field

[0001] This invention belongs to the field of pollution reduction and carbon reduction assessment, specifically an assessment method for the synergistic effect of pollution reduction and carbon reduction in urban forests. Background Technology

[0002] In response to the needs of "dual carbon" and the fight against pollution, it is necessary to clarify the quantitative contribution of forest ecological benefits, address the problem of blind urban greening planning, avoid "emphasizing landscape over function," provide accounting basis for ecological compensation and carbon trading, and promote the transformation of ecological value. Since air pollutants and greenhouse gas emissions have the same origin, the synergistic effect of pollution reduction and carbon reduction has become an important way to coordinate the prevention and control of air pollution and the response to climate change.

[0003] With the global urbanization rate now exceeding 55%, cities contribute over 70% of global carbon emissions while facing prominent issues such as excessive PM2.5 levels and the urban heat island effect. As the core of urban ecology, urban forests can reduce pollutants through vegetation absorption and carbon sequestration through biomass accumulation. However, traditional assessments often focus on isolated calculations of single benefits, and collaborative quantitative models simplify ecological processes without fully considering the differences between tree species and their interactions with the environment. Furthermore, deploying comprehensive monitoring equipment across large areas during the assessment process requires enormous manpower, hindering thorough on-site data collection. Traditional on-site surveys are inefficient and fail to provide comprehensive air quality data for all areas of urban forests, making it difficult to support accurate decision-making. Summary of the Invention

[0004] To overcome the shortcomings of existing technologies and solve the aforementioned technical problems, this invention proposes an evaluation method for the synergistic effect of urban forest pollution reduction and carbon reduction.

[0005] The technical solution adopted by this invention to solve its technical problem is as follows: This invention proposes an evaluation method for the synergistic effect of urban forest pollution reduction and carbon reduction, and the specific steps of the evaluation method are as follows:

[0006] S1: Divide the urban forest into multiple areas, select one as the standard area, and the rest as the assessment areas. Collect core basic data in each assessment area and standard area sequentially through environmental monitoring systems deployed in each assessment area and standard area.

[0007] S2: Based on the core basic data collected, the carbon emissions and pollutant emissions of each assessment area and standard area are calculated respectively, and the carbon emissions and pollutant emissions of each assessment area are preliminarily verified based on the data of the standard area;

[0008] S3: After completing the calculation and verification of carbon emissions and pollutant emissions for each assessment area and standard area, input the synergy index calculation formula to calculate the synergy index for each assessment area and standard area.

[0009] S4: Based on the standard synergy index of the standard area, conduct in-depth verification of the synergy index obtained from each assessment area. Based on the verified data, classify each assessment area and standard area according to the synergy index and draw a spatial distribution map to provide data support for the assessment team to evaluate the overall pollution reduction and carbon reduction synergy of urban forests.

[0010] Preferably, the core basic data includes carbon emission monitoring data and pollutant emission monitoring data.

[0011] Preferably, the types of pollutants in the pollutant emission monitoring data include NOx gas, The carbon emission monitoring data includes gases, VOCs, and PM2.5. The carbon emission monitoring data is calculated by monitoring greenhouse gas emissions, including carbon dioxide.

[0012] Preferably, the environmental monitoring system includes a ground-based air monitoring station and a monitoring drone to achieve dynamic and static monitoring of air quality in various assessment and standard areas of the urban forest.

[0013] Preferably, the ground air monitoring station includes a fixed base, a mounting rod is provided on the fixed base, and an air monitoring sensor is arranged on the top of the mounting rod;

[0014] A support platform is provided in the middle of the mounting rod. A data box and a solar photovoltaic panel are provided on the upper part of the support platform. The data box contains a data storage device, a data transmission device and a power storage device. A data collector is provided at the bottom of the monitoring drone. Data interfaces are provided at the corresponding parts of the data box and the data collector.

[0015] Preferably, a positioning cylinder is provided on the surface of the data box, and a relay block is slidably provided in the middle part of the inside of the positioning cylinder. The relay block and the inner wall of the positioning cylinder are elastically connected by an elastic element.

[0016] The relay block has a connecting line inside. The end of the connecting line near the monitoring drone has a connecting interface, and the end near the inside of the data box has a connecting connector. The connecting connector and the data interface on the data storage device inside the data box are kept at a gap.

[0017] Preferably, the positioning cylinder has a tapered limiting tube near the outer opening.

[0018] Preferably, an electrical connection monitor is installed inside the relay block at the middle of the connecting line.

[0019] The beneficial effects of this invention are as follows:

[0020] The present invention describes an assessment method for the synergistic effect of urban forest pollution reduction and carbon reduction. Based on data calculated from the divided areas, the method generates charts that more intuitively reflect the synergistic effect of pollution reduction and carbon reduction in each area. This provides data support for the assessment team to evaluate the overall synergistic effect of urban forest pollution reduction and carbon reduction. In this way, even when the assessment team has limited manpower and resources and cannot conduct comprehensive monitoring and data acquisition of the entire urban forest, the method can efficiently assess the synergistic effect of pollution reduction and carbon reduction in the urban forest coverage area. It also provides data support for subsequent urban planning schemes such as greening area planning, factory energy conservation and emission reduction plans, and traffic flow arrangements in various areas. Attached Figure Description

[0021] The invention will now be further described with reference to the accompanying drawings.

[0022] Figure 1 This is a flowchart of the evaluation method of the present invention;

[0023] Figure 2 This is a perspective view of the environmental monitoring system in the environmental monitoring system of the present invention;

[0024] Figure 3 This is a partial sectional view of the environmental monitoring system in this invention from the side view direction;

[0025] Figure 4 yes Figure 3 A partial sectional view at point A in the middle;

[0026] Figure 5 yes Figure 4 A partial sectional view at point B in the middle.

[0027] In the diagram: Ground air monitoring station 1, data box 11, data interface 111, positioning cylinder 12, limit tube 121, protective membrane 122, relay block 13, connecting line 14, connecting interface 141, connecting connector 142, monitoring drone 2, data collector 21, collection head 211, protective cylinder 212, interception membrane 213, telescopic device 22, data connector 23. Detailed Implementation

[0028] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] Example 1:

[0030] As shown in the attached diagram of the instruction manual. Figure 1As shown, an evaluation method for the synergistic effect of urban forest pollution reduction and carbon reduction is described, and the specific steps of the evaluation method are as follows:

[0031] S1: Divide the urban forest into multiple areas of similar size, select one as the standard area, and the rest as the assessment areas. Through environmental monitoring systems deployed in each assessment area and standard area, collect core basic data in each assessment area and standard area in sequence, including carbon emission monitoring data, pollutant emission monitoring data, and green area data, etc.

[0032] In the process of dividing urban forests into regions, the main purpose of this application is to improve the living environment of urban residents, thereby providing numerical support for a unified urban greening planning and design scheme. Therefore, areas with concentrated industrial parks should be calculated and planned separately, and the main residential areas of the city can be divided. In specific operations, the division can be based on GIS maps, overlaid with land use type maps, to clarify the area of ​​each zone. When the area and population of various administrative districts in the city are similar, they can be directly divided according to administrative divisions such as districts and counties. This facilitates the adjustment of construction plans based on the functional positioning of these areas in the later stages.

[0033] During the zoning process, due to difficulties in data collection, to improve monitoring efficiency, one of the zoning areas can be selected as a standard area. The assessment team responsible for the work can centrally deploy environmental monitoring equipment from the environmental monitoring system and concentrate manpower and resources to conduct on-site, detailed, and accurate collection of core basic data in the standard area, thereby ensuring the authenticity and reliability of the data in that standard area. For data collection in other assessment areas, data can be obtained from the daily records of local government departments, such as vehicle pollutant and greenhouse gas emission data extrapolated from traffic flow data, as well as carbon emission and pollutant emission data reported by local population density and factories. This data aggregation can save manpower and resources and achieve efficient data collection, but the reliability of these data collections can be verified later.

[0034] S2: Based on the core basic data collected, the carbon emissions and pollutant emissions of each assessment area and standard area are calculated respectively;

[0035] In the above calculation process, the carbon emission and pollutant emission data from various data sources are aggregated and calculated for the assessment area, while the data from various data collected on-site by the environmental monitoring system for the standard area are aggregated and calculated. During this process, the data of each assessment area can be preliminarily verified. For example, the data of the standard area can be compared with the data of the assessment area. If there is a situation in the assessment area where the green area is smaller and there are more factories and people, but the calculated carbon emission and pollutant emission are lower, it indicates that the data of the assessment area is obviously unreasonable. At this time, the data of the area should be verified. The assessment team can also send an investigation team to conduct on-site investigations of the area, analyze the problems, and proceed to the next step of calculation until the data of each area is reasonable.

[0036] The types of pollutants include NOx gas, The greenhouse gases include carbon dioxide, methane, etc. During the calculation, other greenhouse gases can be converted into carbon dioxide gas quantities according to their greenhouse effect performance.

[0037] S3: After completing the calculation and verification of carbon emissions and pollutant emissions for each assessment area and standard area, input the synergy index calculation formula to calculate the synergy index for each assessment area and standard area, and conduct in-depth verification of the synergy index for each assessment area based on the synergy index of the standard area.

[0038] S4: Based on the standard synergy index of the standard area, the carbon emissions and pollutant emissions obtained from each assessment area are verified in reverse. Based on the verified data, each assessment area and standard area is classified according to the synergy index, and a spatial distribution map is drawn to provide data support for the assessment team to evaluate the overall pollution reduction and carbon emission synergy of urban forests.

[0039] Regarding the calculation of the synergy index, there are various possible implementation schemes, and any scheme that can achieve accurate calculation is applicable to this application. This embodiment provides one possible implementation scheme. Specifically, the obtained core basic data are input into the calculation formula, which is as follows:

[0040] in, It is a synergy index; Let represent the emissions of the i-th air pollutant; AGj represent the emissions of the j-th greenhouse gas; γi and μj represent the effect coefficients of the i-th air pollutant and the j-th greenhouse gas, respectively, such as the effect coefficients of sulfur dioxide, nitrogen oxides, and carbon dioxide; n represents the number of types of air pollutants; and m represents the number of types of greenhouse gases.

[0041] The carbon emissions and pollutant emissions calculated in this application are input into the calculation formula to calculate the synergy index. The synergy index of the corresponding standard area is compared with that of the assessment area based on the real and reliable standard area. For assessment areas with large differences, specific analysis can be carried out. If there is unreasonable data, on-site verification can be carried out to eliminate the errors and misreports. Factories and relevant personnel in areas that have concealed information will be dealt with accordingly. After verifying the real data, the synergy coefficient is recalculated.

[0042] Based on the data calculated from the above-mentioned regions, big data analysis is conducted, and charts are drawn to more intuitively reflect the synergistic effect of pollution reduction and carbon reduction in each region. This provides data support for the assessment team to evaluate the overall synergistic effect of pollution reduction and carbon reduction in urban forests. In this way, even when the assessment team has limited manpower and resources and cannot comprehensively monitor and obtain data for the entire urban forest, it can efficiently evaluate the synergistic effect of pollution reduction and carbon reduction in urban forest coverage areas. It also provides data support for subsequent urban planning schemes such as greening area planning, factory energy conservation and emission reduction plans, and traffic flow arrangements in various regions.

[0043] Furthermore, in order to more intuitively represent the synergistic effect of pollution reduction and carbon emission in various regions, the carbon emissions and pollutant emissions in each region are standardized, pollutant weights are set according to environmental impact, and the two are integrated using a coupling coordination degree model for classification.

[0044] To facilitate practical operation, an example is given here. For instance, when the calculated synergy index of each region is between 0 and 10, a synergy index classification system of 0-10 levels can be constructed. The data range of [0, 1) is used as the first level; the data range of [1, 2) is used as the second level, and so on, so that each region is classified into the classification system.

[0045] Finally, different levels are assigned different colors, such as red for level one and orange for level two. By combining Pearson analysis of collaborative relationships, spatial distribution maps are drawn to identify hotspots and weak areas, and corresponding colors are used to mark them on the distribution maps to facilitate identification of different areas in the map corresponding to different levels, thus facilitating the work of the evaluation team.

[0046] To further verify the data, the carbon emissions, pollutant emissions, and final synergy index calculation results of the standard area can be more reliably verified during the calculation process. Specifically, it can be compared and calibrated with areas of similar cities where various indicators are similar. Monte Carlo simulations can be used to iterate key parameters such as biomass coefficients 1000 times to obtain 95% confidence intervals. The Morris method can be used to identify sensitive parameters and clarify the sources and proportions of uncertainty in the data and model. This can control the assessment error within 20%, improve the credibility of the results, and provide an error reference for subsequent applications.

[0047] Based on the calculated spatial distribution map, which displays core data such as carbon emissions, pollutant emissions, and synergy indexes in various regions, suggestions are made regarding tree species and layout for greening, such as "planting Chinese cypress in industrial areas and ginkgo in residential areas." Solutions for factory planning, such as buffer zone width and sewage outlet optimization, are provided, along with supporting measures such as ecological compensation and dynamic monitoring, resulting in a written report and a visual map.

[0048] Example 2:

[0049] As shown in the attached diagram of the instruction manual. Figures 2-5 As shown, to ensure the full and accurate collection of various core basic data in the standard area, the environmental monitoring system of this embodiment includes a ground air monitoring station 1 and a monitoring drone 2, which can realize dynamic and static monitoring of environmental data within the standard area. The ground air monitoring station 1 is arranged at various locations within the corresponding range of the standard area. The ground air monitoring station 1 includes a fixed base, on which a mounting rod is installed. Various air monitoring sensors are arranged on the top of the mounting rod to collect the content of various pollutants in the air, as well as greenhouse gases such as carbon dioxide, and environmental data such as air velocity, temperature and humidity of the collection site. The data is then transmitted to a data box 11 in the middle of the mounting rod. The data box 11 includes a data storage device, a data transmission device, and a power storage device. It can store and back up the environmental data collected by the air monitoring sensors to the data storage device. At the same time, the data information is aggregated through remote communication in the data transmission device to the assessment team responsible for the synergistic effect of urban forest pollution reduction and carbon reduction, providing accurate and comprehensive data support.

[0050] A support platform is set in the middle of the mounting rod. The support platform is connected to the bottom fixed base through the support rod to improve the installation stability. The data box 11 is fixed on one side of the support platform, and the solar photovoltaic panel is arranged on the other side, facing the sun. This way, it can generate electricity under sunlight and transmit the electrical energy to the power storage device inside the data box 11 to support the power supply of the various parts inside the data box 11 during normal operation.

[0051] Unlike the fixed ground-based air monitoring station 1, the monitoring drone 2 can fly at low altitudes along a predetermined trajectory, responsible for inspecting areas not covered by the ground-based air monitoring station 1 and low-altitude areas. The monitoring drone 2 is also equipped with air monitoring sensors to collect air quality data at the locations it passes through during the inspection and transmit the data to the assessment team. In this way, by combining the static and dynamic elements of the ground-based air monitoring station 1 and the monitoring drone 2, the monitoring range of various areas of the urban forest can be fully covered, making the monitoring data more comprehensive and improving the efficiency of assessment and processing.

[0052] Furthermore, considering that the numerous ground-based air monitoring stations 1 may experience communication difficulties and data transmission problems due to external factors, and that manual inspection, maintenance, and data retrieval are inefficient due to their large number, monitoring drones 2 can be used to travel to various ground-based air monitoring stations 1 that are difficult to contact and obtain data from nearby locations to effectively overcome these problems.

[0053] Specifically, a fixed bracket is installed at the bottom of the monitoring drone 2 to assist the monitoring drone 2 in landing and positioning on the support platform; then a data acquisition device 21 is installed at the bottom of the monitoring drone 2, and the data acquisition device 21 is connected to the output end of the telescopic device 22 at the bottom of the monitoring drone 2. The end of the data acquisition device 21 is provided with a data connector 23, and a corresponding data interface 111 is provided on the data box 11; in this way, the monitoring drone 2 is controlled to land at the predetermined position on the support platform, and then the positioning of the monitoring drone 2 is maintained and fixed; in order to ensure that the data acquisition device 21 on the monitoring drone can accurately align with the data interface 111 on the data box 11, a movable wheel can be installed on the underside of the fixed bracket at the bottom of the monitoring drone 2, referring to the movable wheel of an existing remote-controlled car. The operator can remotely control the monitoring drone 2 to adjust its position, move it to the predetermined position, and lock it to maintain the limit position;

[0054] After startup, the output end of the telescopic device 22 drives the data collector 21 to move closer to the data box 11, so that the data connector 23 on the data collector 21 and the data interface 111 on the data box 11 are electrically connected. Compared with the wireless information transmission that is easily interfered with, the direct wired connection is safer and more reliable, which effectively ensures the integrity and accuracy of the data transfer process.

[0055] After the connection is detected to be safe and stable, the data such as air quality at the location of the collection point stored in the data storage device inside the data box 11 is summarized and transmitted to the data collector 21, and then transmitted and stored in the data storage device inside the detection drone, thus realizing data transfer.

[0056] In this way, after the data transmission is completed, the detection drone can be controlled to leave the ground air monitoring station 1 and go to the next location where data needs to be collected, or it can return directly to the control center and feed the data back to the evaluation team at the control center. This can more efficiently collect data from the ground air monitoring station 1, which is difficult to contact, reduce the loss of data at the collection points, and provide more reliable and richer data support for the final evaluation results.

[0057] Example 3:

[0058] Based on Example 2, considering that the ground air monitoring station 1 may be located in a dense forest environment with large temperature and humidity differences, and is far from the central dense building area, the humidity at the location of the collection point may be high, resulting in more moisture and impurities that are easy to penetrate, affecting the connection security and stability of data connector 23 and data interface 111.

[0059] Therefore, a positioning cylinder 12 is provided on the side wall of the data box 11. A tapered limiting tube 121 is provided near the outer opening of the positioning cylinder 12. The limiting tube 121 can prevent external rainwater from seeping into the interior when it flows down the surface of the data box 11. A relay block 13 is slidably provided in the middle part of the interior of the positioning cylinder 12. The relay block 13 and the inner wall of the positioning cylinder 12 are elastically connected by an elastic element. A spring can be used as the elastic element here.

[0060] The relay block 13 is hollow inside, and a connecting line 14 is provided in the middle. The end of the connecting line 14 near the monitoring drone 2 is provided with a connecting interface 141, and the end near the inside of the data box 11 is provided with a connecting connector 142. The connecting connector 142 and the data interface 111 on the data storage inside the data box 11 are kept apart and are not directly connected. An electrical connection detector is provided in the middle of the connecting line 14 inside the relay block 13. The electrical connection detector includes a miniature power supply, a connection status detection module, an authentication module, etc.

[0061] To prevent direct connection between the data connector 23 of the monitoring drone 2 and the data interface 111 on the data box 11 from being affected by moisture or impurities adhering to the surface, potentially leading to electrical accidents, the data interface 111 is integrated into the data box 11, avoiding direct contact with the outside. During data connection, the data acquisition unit 21 is first moved by activating the telescopic device 22 on the monitoring drone 2, passing through the limit tube 121 and contacting the internal relay block 13. This allows the data connector 23 on the data acquisition unit 21 to connect with the connection connector 142. The electrical connection monitor detects the connection relationship, a micro power supply powers the connection, and the pressure sensor or current detection element of the connection status detection module detects the stability and electrical safety of the connection. The authentication module verifies the information, reads the identification information of the data acquisition unit 21, and allows subsequent data connection only after comparison with a preset authorization list; otherwise, the data connection is prohibited.

[0062] After confirming a secure connection, the output end of the telescopic device 22 extends further into the positioning cylinder 12, pushing the relay block 13 to slide along the positioning cylinder 12. This causes the connecting connector 142 at the other end of the relay block 13 to contact and connect with the data interface 111 inside the data box 11. In this way, air quality data is transmitted from the data interface 111 to the connecting line 14 inside the relay block 13, and then to the external data collector 21, thus achieving data transfer. In this way, the connecting line 14 supports intermediate transmission between the data interface 111 of the data box 11 and the data connector 23 between the detection drone, avoiding short circuit accidents that may occur with direct connection, making the data connection safer and more reliable.

[0063] Furthermore, a temperature and humidity sensor is installed between the relay block 13 and the positioning cylinder 12, and the side wall of the positioning cylinder 12 is connected to the cooling fan inside the data box 11 through a hose. When external moisture is detected to penetrate into the contact gap between the relay block 13 and the positioning cylinder 12, the cooling fan is activated to send dry airflow into the gap area between the relay block 13 and the positioning cylinder 12. In conjunction with the telescopic device 22, the relay block 13 is activated to push the positioning cylinder 12 to slide back and forth along the inside of the positioning cylinder 12, squeezing the air inside the positioning cylinder 12 so that the air penetrates outward along the opening gap between the relay block 13 and the positioning cylinder 12, carrying out any water vapor impurities that may have penetrated into the gap.

[0064] The hollow area inside the relay block 13 is connected to the inside of the positioning cylinder 12. This can enhance the air exchange between the hollow area inside the relay block 13 and the area inside the positioning cylinder 12, which is beneficial to control the operating temperature of the electrical connection monitor and avoid excessive temperature affecting normal operation.

[0065] Example 4:

[0066] Based on Embodiment 3, the data acquisition device 21 includes a acquisition head 211, a data connector 23 located on the end of the acquisition head 211, and a protective cylinder 212 slidably nested on the outside of the acquisition head 211. The end of the protective cylinder 212 is provided with a through hole at the part corresponding to the data interface 111 at the end of the acquisition head 211, and the protective cylinder 212 and the outer surface of the acquisition head 211 are connected by an elastic element, which can be a spring.

[0067] The inner surface of the limiting tube 121 is provided with an annular protective film 122. The inner circle of the protective film 122 extends towards the center and protrudes towards the positioning cylinder 12. The outer surface of the end of the protective cylinder 212 is provided with an intercepting film 213. The intercepting film 213 is an annular tubular structure, which is sleeved on the outer surface of the end of the protective cylinder 212. One end of the intercepting film 213 is connected to the inner wall of the through hole at the end of the protective cylinder 212 and has a curved structure. The other end is connected to the outer surface of the end of the protective cylinder 212.

[0068] To ensure the safety of the data interface 111 on the monitoring drone 2, a protective sleeve 212 is set at the end of the acquisition head 211. Normally, the data connector 23 at the end of the acquisition head 211 is in the area surrounded by the protective sleeve 212. The bent and folded intercepting membrane 213 at the through hole can also prevent external water vapor and impurities from penetrating inward and adhering to the data connector 23.

[0069] As the telescopic device 22 is activated, it drives the collection head 211 to move closer to the limiting tube 121. The surface of the intercepting membrane 213 on the outer surface of the collection head 211 comes into contact with the protective membrane 122 on the inner surface of the limiting tube 121. The relative friction between the intercepting membrane 213 and the protective membrane 122, both of which are made of rubber, is strong. Furthermore, the contact surfaces of the intercepting membrane 213 and the protective membrane 122 are uniformly provided with patterned raised structures, which further enhances the relative friction and increases the contact gap, facilitating the outward flow of the internal compressed airflow to remove water vapor and impurities.

[0070] The sliding friction of the protective film 122 causes the interceptor film 213 to deform and slide along the outer surface of the acquisition head 211. The portion of the interceptor film 213 that is bent and stacked in the through hole slides to the outside of the acquisition head 211, opening the through hole and facilitating the movement of the acquisition head 211 relative to the protective cylinder 212. The data connector 23 at the end of the acquisition head 211 passes through the through hole and connects to the connection interface 141 on the relay block 13. Subsequently, the continuous movement of the telescopic device 22 pushes the relay block 13 to slide along the inner wall of the protective cylinder 212 and approach the data storage, so that the connection connector 142 on the other end of the limiting cylinder contacts the data interface 111 on the data storage, realizing a safe connection between the data acquisition device 21 and the data storage, facilitating the smooth transfer of the air quality data stored inside the data storage to the data storage inside the monitoring drone 2, realizing data migration. After the data transmission is completed, the telescopic device 22 drives the acquisition head 211 to move backward, and the interceptor film 213 and the protective film 122 are restored to their original shape.

[0071] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. An evaluation method for the synergistic effect of urban forest pollution reduction and carbon reduction, characterized in that: The specific steps of the evaluation method are as follows: S1: Divide the urban forest into multiple areas, select one as the standard area, and the rest as the assessment areas. Collect core basic data in each assessment area and standard area sequentially through environmental monitoring systems deployed in each assessment area and standard area. S2: Based on the core basic data collected, the carbon emissions and pollutant emissions of each assessment area and standard area are calculated respectively, and the carbon emissions and pollutant emissions of each assessment area are preliminarily verified based on the data of the standard area; S3: After completing the calculation and verification of carbon emissions and pollutant emissions for each assessment area and standard area, input the synergy index calculation formula to calculate the synergy index for each assessment area and standard area. S4: Based on the standard synergy index of the standard area, conduct in-depth verification of the synergy index obtained from each assessment area. Based on the verified data, classify each assessment area and standard area according to the synergy index and draw a spatial distribution map to provide data support for the assessment team to evaluate the overall pollution reduction and carbon reduction synergy of urban forests.

2. The evaluation method for synergistic effect of urban forest pollution reduction and carbon reduction according to claim 1, characterized in that: The core basic data includes carbon emission monitoring data and pollutant emission monitoring data.

3. The evaluation method for synergistic effect of urban forest pollution reduction and carbon reduction according to claim 2, characterized in that: The types of pollutants in the pollutant emission monitoring data include NOx gas, The carbon emission monitoring data includes gases, VOCs, and PM2.

5. The carbon emission monitoring data is calculated by monitoring greenhouse gas emissions, including carbon dioxide.

4. The evaluation method for synergistic effect of urban forest pollution reduction and carbon reduction according to claim 1, characterized in that: The environmental monitoring system includes ground-based air monitoring stations and monitoring drones, enabling dynamic and static monitoring of air quality in various assessment and standard areas of the urban forest.

5. The evaluation method for synergistic effect of urban forest pollution reduction and carbon reduction according to claim 4, characterized in that: The ground air monitoring station includes a fixed base, a mounting rod on the fixed base, and an air monitoring sensor arranged on the top of the mounting rod; A support platform is provided in the middle of the mounting rod. A data box and a solar photovoltaic panel are provided on the upper part of the support platform. The data box contains a data storage device, a data transmission device and a power storage device. A data collector is provided at the bottom of the monitoring drone. Data interfaces are provided at the corresponding parts of the data box and the data collector.

6. The evaluation method for synergistic effect of urban forest pollution reduction and carbon reduction according to claim 5, characterized in that: The data box surface is provided with a positioning cylinder, and a relay block is slidably arranged in the middle part of the inside of the positioning cylinder. The relay block and the inner wall of the positioning cylinder are elastically connected by an elastic element. The relay block has a connecting line inside. The end of the connecting line near the monitoring drone has a connecting interface, and the end near the inside of the data box has a connecting connector. The connecting connector and the data interface on the data storage device inside the data box are kept at a gap.

7. The evaluation method for synergistic effect of urban forest pollution reduction and carbon reduction according to claim 6, characterized in that: The positioning cylinder has a tapered limiting tube near its outer opening.

8. The evaluation method for synergistic effect of urban forest pollution reduction and carbon reduction according to claim 7, characterized in that: An electrical connection monitor is installed inside the relay block, located in the middle of the connecting line.

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