Urban air purification system and method based on urban forest

Abstract

The invention relates to the technical field of urban forest air purification, and particularly discloses an urban air purification system and method based on an urban forest. The system is provided with a tree species selection scheme comparison module, a region deployment sequence comparison module, an air purification state reference evaluation value comparison module and an urban air purification state judgment module; the problems that most of traditional urban air purification systems based on urban forests pay attention to single factors or local areas, overall analysis on the urban forest air purification systems is lacked, and the dynamic analysis capacity is insufficient are solved, more scientific tree species selection and area deployment decisions can be made based on actual situations, and the method is suitable for large-scale popularization and application. And when the urban air quality changes, rapid adjustment and optimization are carried out, the effectiveness of the urban forest under different environmental conditions is ensured, the urban forest scheme is continuously adjusted, and the healthy and sustainable development of an ecological system is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of urban forest air purification, and in particular to an urban forest-based urban air purification system and method. Background Art

[0002] With the acceleration of global urbanization, urban population has grown rapidly, buildings have become dense, and green space has decreased, leading to deterioration of urban air quality. Urban air pollution is becoming increasingly serious and requires effective purification methods. Urban forests can effectively capture particulate matter and harmful gases in the air and improve air quality through the photosynthesis, transpiration and branch and leaf structure of their plants. Air purification research based on urban forests can not only help improve the quality of urban ecological environment, but also provide a basis for sustainable urban development. By promoting the construction and management of urban green spaces, air quality can be improved, public health can be protected, urban resilience can be enhanced, and a more livable urban environment can be built.

[0003] Nowadays, there are still some shortcomings in the research on an urban air purification system based on urban forests. Specifically, most studies on traditional urban air purification systems based on urban forests focus on single factors or local areas, lack an overall analysis of the urban forest air purification system, and lack dynamic analysis capabilities. The lack of systematic and holistic analysis makes it difficult for decision makers to formulate effective urban forest management and accurately evaluate the comprehensive impact of different strategies on air quality. It may also lead to priority errors and affect the overall effect. The urban environment is dynamically changing, and only static analysis cannot reflect environmental changes in a timely manner, resulting in a delayed response to air quality issues, and cannot fully reflect the complex impact of urban forests on ecosystems and air quality. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an urban air purification system and method based on an urban forest, which can effectively solve the problems involved in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: In a first aspect, the present invention provides an urban air purification system based on an urban forest, comprising a tree species selection scheme comparison module, a regional deployment sequence comparison module, an air purification state reference evaluation value comparison module and an urban air purification state judgment module, wherein: the tree species selection scheme comparison module is used to analyze the historical urban air state and obtain the urban forest tree species selection scheme by comparison; the regional deployment sequence comparison module is used to analyze the operating state of each urban area and obtain the urban forest regional deployment sequence by comparison; the air purification state reference evaluation value comparison module is used to analyze the urban emission state and obtain the urban air purification state reference evaluation value by comparison; the urban air purification state judgment module is used to analyze the urban forest urban air purification state based on the urban forest tree species selection scheme and the urban forest regional deployment sequence, and judge whether the urban air purification state is qualified in combination with the urban air purification state reference evaluation value, and compare the urban forest adjustment plan corresponding to the unqualified urban air purification state.

[0006] As a further solution, the historical urban air conditions are analyzed and compared to obtain the urban forest tree species selection plan. The specific analysis process is: obtain the historical urban air condition data set, and based on the obtained historical urban air condition data set, obtain the historical urban air condition characteristic values ​​through comprehensive analysis. The historical urban air condition characteristic values ​​are used as the analysis basis for obtaining the urban forest tree species selection plan by comparison; compare the historical urban air condition characteristic values ​​with the urban forest tree species selection plans corresponding to the historical urban air condition characteristic values ​​stored in the database to obtain the urban forest tree species selection plan corresponding to the historical urban air condition characteristic values.

[0007] As a further solution, the historical urban air status data set specifically includes historical urban air fine particulate matter concentration, historical urban air inhalable particulate matter concentration, historical urban air sulfur dioxide concentration, and historical urban air quality index.

[0008] As a further solution, the operation status of each urban area is analyzed and the deployment order of urban forest areas is obtained by comparison. The specific analysis process is as follows: obtain the urban area operation status data set, and based on the urban area operation status data set, obtain the urban area operation status characteristic values ​​through comprehensive analysis. The urban area operation status characteristic values ​​are used as the analysis basis for comparing the deployment order of urban forest areas; sort the urban area operation status characteristic values ​​from large to small; and use the sorting results of each urban area corresponding to the sorting results of the urban area operation status characteristic values ​​as the deployment order of urban forest areas.

[0009] As a further solution, the urban area operation status data set specifically includes the urban area resident population, the urban area daily average traffic volume, and the urban area average air quality index.

[0010] As a further solution, the city emission status is analyzed and compared to obtain a reference assessment value of the city air purification status. The specific analysis process is: obtain a city emission status data set, which specifically includes the daily average total amount of nitrogen oxides emitted by urban traffic, the daily average total amount of carbon dioxide emitted by urban traffic, and the daily average total amount of inhalable particulate matter emitted by urban industry; based on the obtained city emission status data set, a comprehensive analysis is performed to obtain a city emission status assessment value, and the city emission status assessment value is used as an analysis basis for obtaining a reference assessment value of the city air purification status by comparison; the city emission status assessment value is compared with the city air purification status reference assessment value corresponding to each city emission status assessment value stored in the database, to obtain a city air purification status reference assessment value corresponding to the city emission status assessment value.

[0011] As a further solution, the city emission status assessment value, the specific analysis process is as follows: ; In the formula, is the city emission status assessment value, is the daily average amount of nitrogen oxides emitted by urban traffic, is the daily average amount of carbon dioxide emitted by urban transportation, is the daily average total amount of inhalable particulate matter emitted by urban industries, is the compensation factor for the daily average amount of nitrogen oxides emitted by urban traffic. is the compensation factor for the daily average amount of carbon dioxide emitted by urban transportation, It is the compensation factor for the daily average total amount of inhalable particulate matter emitted by urban industries.

[0012] As a further solution, it is determined whether the urban air purification status is qualified, and the urban forest adjustment plan corresponding to the unqualified urban air purification status is compared. The specific analysis process is: based on the urban forest tree species selection plan and the urban forest area deployment sequence, the urban forest urban air purification status is analyzed to obtain the urban air purification status data set, which specifically includes the ozone content after urban air purification, the carbon dioxide content after urban air purification, and the fine particulate matter concentration after urban air purification; based on the obtained urban air purification status data set, a comprehensive analysis is performed to obtain the urban air purification status evaluation value, and the urban air purification status evaluation value is used as the analysis basis for determining whether the urban air purification status is qualified; the urban air purification status evaluation value is compared with the urban air purification status reference evaluation value; if the urban air purification status evaluation value is higher than or equal to If the urban air purification state reference assessment value is higher than the urban air purification state reference assessment value, the urban air purification state corresponding to the urban air purification state assessment value is qualified; if the urban air purification state assessment value is lower than the urban air purification state reference assessment value, the urban air purification state corresponding to the urban air purification state assessment value is unqualified, and the difference between the urban air purification state reference assessment value and the urban air purification state assessment value corresponding to the unqualified urban air purification state is recorded as the urban air purification state assessment deviation value, and the urban air purification state assessment deviation value is compared with the urban forest adjustment plans corresponding to the urban air purification state assessment deviation values ​​stored in the database to obtain the urban forest adjustment plan corresponding to the urban air purification state assessment deviation value, and the urban forest adjustment plan corresponding to the urban air purification state assessment deviation value represents the urban forest adjustment plan corresponding to the unqualified urban air purification state.

[0013] As a further solution, the city air purification status assessment value, the specific analysis process is as follows: ; In the formula, is the city air purification status assessment value, The ozone content after urban air purification, The carbon dioxide content of the city air after purification. is the concentration of fine particles after urban air purification, is the compensation factor of the ozone content after the city air is purified. is the compensation factor for the carbon dioxide content after the city air is purified. is the compensation factor of fine particulate matter concentration after urban air purification, and e is a natural constant.

[0014] The second aspect of the present invention provides an urban air purification method based on urban forests, comprising the following steps: analyzing historical urban air conditions and obtaining an urban forest tree species selection plan by comparison; analyzing the operating conditions of various urban areas and obtaining an urban forest area deployment sequence by comparison; analyzing urban emission conditions and obtaining an urban air purification state reference evaluation value by comparison; analyzing the urban forest urban air purification state based on the urban forest tree species selection plan and the urban forest area deployment sequence, judging whether the urban air purification state is qualified in combination with the urban air purification state reference evaluation value, and comparing an urban forest adjustment plan corresponding to an unqualified urban air purification state.

[0015] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides an urban air purification system and method based on urban forests. By analyzing the historical urban air status, more scientific tree species selection and regional deployment decisions can be made based on actual conditions to ensure the effectiveness and practicality of the plan. The comparison of tree species selection plans and regional deployment sequences can ensure efficient use of resources and avoid unnecessary waste, thereby improving the governance effect of urban forests. When the urban air quality changes, rapid adjustment and optimization can be made to ensure the effectiveness of urban forests under different environmental conditions. By continuously adjusting the urban forest plan based on different air purification status evaluation values, the health and sustainable development of the ecosystem can be ensured.

[0016] (2) The present invention analyzes the historical urban air conditions and obtains the urban forest tree species selection plan by comparison. The analysis of historical air conditions can reveal the characteristics of urban air pollution under different seasons or climate conditions, so as to select suitable tree species to deal with these specific problems. After understanding the historical data, a variety of tree species can be selected to enhance the stability and resistance of the ecosystem and improve the ecological benefits of urban forests. Understanding the historical air conditions can help decision makers determine the best urban forest layout, thereby maximizing the air purification effect.

[0017] (3) The present invention analyzes the operating status of various urban areas and compares them to obtain the deployment order of urban forest areas. By analyzing the operating status of different areas, it is possible to identify which areas have a higher demand for forest greening, so that urban forests can be deployed in these areas in priority to ensure the effective use of resources. The analysis results can clearly identify which areas have poor air quality, and based on this, forests can be deployed in these areas in priority, which helps to improve air quality more effectively. The analysis of the operating status of each area can help better plan the urban spatial structure, adapt the forest layout to the urban function, and improve the overall form of the city. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0019] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0020] Figure 2 The figure is a schematic flow chart of the method steps of the present invention. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0022] Reference Figure 1 As shown, the first aspect of the present invention provides an urban air purification system based on urban forests, including a tree species selection scheme comparison module, a regional deployment sequence comparison module, an air purification state reference evaluation value comparison module and an urban air purification state judgment module.

[0023] The tree species selection scheme comparison module is used to analyze the historical urban air conditions and obtain the urban forest tree species selection scheme through comparison.

[0024] Specifically, the historical urban air conditions are analyzed and compared to obtain the urban forest tree species selection plan. The specific analysis process is: obtain a historical urban air condition data set, and based on the obtained historical urban air condition data set, obtain historical urban air condition characteristic values ​​through comprehensive analysis. The historical urban air condition characteristic values ​​are used as the analysis basis for obtaining the urban forest tree species selection plan by comparison; compare the historical urban air condition characteristic values ​​with the urban forest tree species selection plans corresponding to the historical urban air condition characteristic values ​​stored in the database to obtain the urban forest tree species selection plan corresponding to the historical urban air condition characteristic values.

[0025] It needs to be explained that the above-mentioned tree species selection based on historical urban air status characteristic values ​​is more scientific, can effectively reduce blindness and improve the rationality of selection. Different tree species have different effects on improving air quality. Selecting corresponding tree species based on specific air status characteristics can more effectively meet the needs of urban air quality improvement. Selecting tree species that match the urban air status can better improve the ecological benefits of the city. Historical air status analysis can provide a long-term perspective on the impact of human activities on air quality, and then select tree species that are more suitable for future urban conditions to ensure the sustainability of urban forests. Selecting tree species suitable for local air conditions is usually more adaptable to the local ecological environment and can reduce maintenance costs. Continuous tracking of air status changes and tree species performance can provide feedback basis for future tree species selection, forming a circular improvement process.

[0026] Furthermore, the historical urban air status data set includes historical urban air fine particulate matter concentration, historical urban air inhalable particulate matter concentration, historical urban air sulfur dioxide concentration, and historical urban air quality index. Fine particulate matter (PM2.5) refers to suspended particles with a diameter less than or equal to 2.5 microns. These particles can penetrate deep into the lungs and even enter the blood, which may have an impact on health. They are obtained using dedicated particle monitoring instruments, such as light scattering particle counters (photometers) or mass spectrometers. Inhalable particulate matter (PM10) refers to particles with a diameter less than or equal to 10 microns. PM10 is also measured by particle counters, membrane filters, and other professional Air quality monitoring equipment is used to obtain sulfur dioxide, a gas with a pungent odor that mainly comes from the burning of fossil fuels and some industrial processes. High concentrations of sulfur dioxide are harmful to the respiratory system and the environment. The concentration of sulfur dioxide is usually monitored by chemical analysis instruments (such as fluorescence analysis and ultraviolet absorption). The air quality index (AQI) is a measure calculated based on the concentrations of multiple air pollutants (such as PM2.5, PM10, sulfur dioxide, nitrogen oxides, etc.) to indicate the quality of air. The higher the AQI value, the more serious the air pollution and the greater the impact on health. The air quality index is calculated using special software.

[0027] In a specific embodiment, PM10 includes particulate matter with a diameter less than or equal to 10 microns, which also includes PM2.5 (particle matter with a diameter less than or equal to 2.5 microns). PM2.5 is always lower than or equal to PM10. Sulfur dioxide mainly comes from coal burning, traffic emissions, etc. These sources may also produce PM2.5 and PM10. The concentrations of sulfur dioxide and particulate matter are positively correlated. AQI comprehensively evaluates air quality based on the concentrations of different pollutants, including PM2.5, PM10, sulfur dioxide, nitrogen oxides and ozone (O3).

[0028] It needs to be explained that the above analysis of historical urban air conditions and comparison of urban forest tree species selection plans can reveal the characteristics of air pollution in cities under different seasons or climatic conditions, so as to select suitable tree species to deal with these specific problems. After understanding historical data, a variety of tree species can be selected to enhance the stability and resistance of the ecosystem and improve the ecological benefits of urban forests. Mastering historical air conditions can help decision makers determine the optimal urban forest layout, thereby maximizing the air purification effect.

[0029] It should be explained that the specific analysis process of the above historical urban air state characteristic values ​​is as follows: ; In the formula, is the historical urban air state characteristic value, is the historical urban air fine particulate matter concentration, is the historical urban air inhalable particulate matter concentration, is the historical urban air sulfur dioxide concentration, is the historical urban air quality index, is the compensation factor for the historical urban air fine particulate matter concentration, is the compensation factor for the historical urban air inhalable particulate matter concentration, is the compensation factor for the historical urban air sulfur dioxide concentration, It is the compensation factor for the set historical urban air quality index.

[0030] It needs to be explained that the above-mentioned historical urban air status characteristic values ​​are calculated through historical urban air fine particulate matter concentration, historical urban air inhalable particulate matter concentration, historical urban air sulfur dioxide concentration, and historical urban air quality index. The historical urban air fine particulate matter concentration, historical urban air inhalable particulate matter concentration, historical urban air sulfur dioxide concentration, and historical urban air quality index are normalized, and the concentrations of multiple pollutants are integrated to more comprehensively reflect the city's air quality status. Through the historical data of these indicators, we can analyze the changing trends of air quality and help understand the evolution of long-term pollution sources. By understanding the pollution situation, we can more reasonably allocate monitoring and governance resources and improve governance effects. This comprehensive assessment can help the public better understand the impact of air pollution on health and take corresponding preventive measures. The characteristic values ​​can be used as part of the monitoring system to help promptly detect abnormal changes in air quality and take necessary responses. Emergency response measures, the compensation factors of historical urban air fine particulate matter concentration, historical urban air inhalable particulate matter concentration, historical urban air sulfur dioxide concentration, and historical urban air quality index are obtained from the database, and a mapping set of historically measured historical urban air fine particulate matter concentration, historical urban air inhalable particulate matter concentration, historical urban air sulfur dioxide concentration, historical urban air quality index and compensation factors of historical urban air fine particulate matter concentration, historical urban air inhalable particulate matter concentration, historical urban air sulfur dioxide concentration, and historical urban air quality index is established based on historical data to obtain the compensation factors of historical urban air fine particulate matter concentration, historical urban air inhalable particulate matter concentration, historical urban air sulfur dioxide concentration, and historical urban air quality index corresponding to the current historical urban air fine particulate matter concentration, historical urban air inhalable particulate matter concentration, historical urban air sulfur dioxide concentration, and historical urban air quality index.

[0031] The regional deployment sequence comparison module is used to analyze the operating status of each area in the city and compare the deployment sequence of urban forest areas.

[0032] Specifically, the operation status of each area in the city is analyzed, and the deployment order of urban forest areas is obtained by comparison. The specific analysis process is: obtain the urban area operation status data set, based on the urban area operation status data set, comprehensively analyze to obtain the urban area operation status characteristic values, and use the urban area operation status characteristic values ​​as the analysis basis for comparing and obtaining the deployment order of urban forest areas; sort the urban area operation status characteristic values ​​from large to small; and use the sorting results of each city area corresponding to the sorting results of the urban area operation status characteristic values ​​as the deployment order of urban forest areas.

[0033] It needs to be explained that the above-mentioned identification of areas with higher operating status characteristic values ​​can give priority to allocating forest area resources to these areas to improve the efficiency and effectiveness of resource utilization. High characteristic value areas are usually closely related to the ecological environment, residents' health or social activities. Deploying forest areas in these areas will help improve ecological benefits and improve air quality. Deploying forest areas in areas with good operating conditions can enhance the ecological resilience of the city and improve the city's ability to adapt to climate change and extreme weather events. Through characteristic value sorting, it can provide a scientific basis for urban planning, environmental governance and policy making to ensure the rationality and effectiveness of decision-making.

[0034] Furthermore, the urban area operation status data set specifically includes the resident population of the urban area, the daily average traffic volume of the urban area, and the average air quality index of the urban area. The resident population refers to the number of people living in the urban area, reflecting the population density, economic vitality and social needs of the area. It provides accurate resident population data based on the household registration or residence registration system of the local government. The daily average traffic volume refers to the average number of vehicles passing through the urban area within a certain period of time (usually 24 hours), reflecting the traffic conditions, road load and traffic efficiency, and is obtained based on traffic flow monitors. The air quality index (AQI) is a comprehensive indicator used to assess the degree of air pollution, usually considering the concentrations of multiple pollutants (such as PM2.5, PM10, NO2, SO2, O3, etc.). The average air quality index reflects the air quality status of a specific area, and the air quality index is calculated using dedicated software.

[0035] In a specific embodiment, the more residents there are, the greater the demand for vehicles will be, resulting in an increase in the average daily traffic volume. A larger population means more commuting, travel and transportation needs. An increase in the resident population usually leads to more traffic, industrial activities and living emissions, which may lead to deterioration of air quality and an increase in AQI. An increase in traffic volume usually leads to an increase in the concentration of air pollutants (such as NO2, PM2.5, etc.), thereby worsening the air quality index. Vehicle emissions are one of the important sources of urban air pollution.

[0036] It needs to be explained that the above analysis of the operating status of various urban areas is compared to obtain the order of urban forest area deployment. By analyzing the operating status of different areas, it is identified which areas have a higher demand for forest greening, so as to prioritize the deployment of urban forests in these areas to ensure the effective use of resources. The analysis results can clearly identify which areas have poor air quality, and based on this, prioritize the deployment of forests in these areas, which will help to improve air quality more effectively. The analysis of the operating status of each area can help better plan the urban spatial structure, adapt the forest layout to urban functions, and improve the overall form of the city.

[0037] It should be explained that the specific analysis process of the above-mentioned characteristic values ​​of the urban area operation status is as follows: ; In the formula, is the characteristic value of the urban area operation status, The population living in urban areas, is the average daily traffic volume in the urban area, is the average air quality index in the urban area, is the compensation factor for the residential population in the given urban area, is the compensation factor for the average daily traffic volume in the set urban area, is the compensation factor of the average air quality index of the set urban area, and e is a natural constant.

[0038] It should be explained that the above-mentioned characteristic values ​​of the operating status of urban areas are calculated through the resident population of urban areas, the average daily traffic volume of urban areas, and the average air quality index of urban areas. The resident population of urban areas, the average daily traffic volume of urban areas, and the average air quality index of urban areas are normalized. Combining multiple factors such as population, traffic and air quality, it can comprehensively reflect the operating status of urban areas, identify potential problems and advantages, provide data support for urban planning and development, and help identify areas where urban forests need to be deployed first. Through the combination of air quality index and traffic volume, the main pollution sources can be identified and corresponding emission reduction measures can be formulated. The characteristic values ​​provide a basis for assessing the health risks of residents, especially in areas with high traffic volume and low air quality, and help formulate health The promotion policy can timely discover the problems in the operation of the city through real-time data monitoring, and make dynamic adjustments and optimizations. The compensation factors of the urban area residential population, the urban area daily average traffic flow, and the urban area average air quality index are obtained from the database. According to the historical data, a mapping set of the historically measured urban area residential population, the urban area daily average traffic flow, the urban area average air quality index and the urban area residential population, the urban area daily average traffic flow, and the urban area average air quality index compensation factors is established to obtain the compensation factors of the urban area residential population, the urban area daily average traffic flow, and the urban area average air quality index corresponding to the current urban area residential population, the urban area daily average traffic flow, and the urban area average air quality index.

[0039] The air purification status reference assessment value comparison module is used to analyze the city's emission status and obtain the city's air purification status reference assessment value by comparison.

[0040] Specifically, the city emission status is analyzed and compared to obtain the reference assessment value of the city air purification status. The specific analysis process is: obtain the city emission status data set, which specifically includes the daily average total amount of nitrogen oxides emitted by urban traffic, the daily average total amount of carbon dioxide emitted by urban traffic, and the daily average total amount of inhalable particulate matter emitted by urban industry. The daily average total amount of nitrogen oxides emitted by urban traffic refers to the total amount of nitrogen oxides (including NO and NO2) emitted by motor vehicles (such as cars, buses, trucks, etc.) in urban traffic, usually in grams (g) or kilograms (kg). It is calculated based on the average emission of a city in one day, obtained based on the gas analyzer. The daily average total amount of carbon dioxide emitted by urban traffic refers to the total amount of carbon dioxide (CO2) emitted by motor vehicles in urban traffic, usually in grams (g) or kilograms (kg). The unit is grams (g) or kilograms (kg). The average emission of a city in one day is calculated based on the gas analyzer. The daily average total amount of inhalable particulate matter emitted by urban industries refers to the total amount of inhalable particulate matter (such as PM10 and PM2.5) emitted into the air during urban industrial activities. It is usually measured in grams (g) or kilograms (kg). The average emission of a city in one day is calculated based on the particulate matter monitor. Based on the obtained urban emission status data set, a comprehensive analysis is performed to obtain the urban emission status assessment value, which is used as the analysis basis for comparing the urban air purification status reference assessment value. The urban emission status assessment value is compared with the urban air purification status reference assessment value corresponding to each city emission status assessment value stored in the database to obtain the urban air purification status reference assessment value corresponding to the city emission status assessment value.

[0041] It needs to be explained that the above-mentioned urban traffic and industrial activities are the main sources of air pollution. The nitrogen oxides and carbon dioxide emitted by traffic mainly come from cars and other motor vehicles, while the inhalable particulate matter emitted by industry may be related to the burning of fossil fuels, industrial production processes, etc., which together affect the air quality of the city. Nitrogen oxides can react with volatile organic compounds in the atmosphere to generate ozone and fine particulate matter (PM2.5). The nitrogen oxides emitted by traffic not only directly affect the air quality, but may also indirectly affect the concentration of inhalable particulate matter through chemical reactions. The carbon dioxide emitted by traffic mainly comes from the combustion of fuel, and the combustion process also produces particulate matter. The increase in traffic activities usually means that the emissions of carbon dioxide and particulate matter will increase at the same time, especially when using high-pollution fuels such as diesel.

[0042] It needs to be explained that the above-mentioned comparison of urban emission status assessment values ​​and air purification status reference assessment values ​​can evaluate and define the air quality management status, identify room for improvement, analyze the impact of different emission sources (transportation, industry, etc.) on air quality, and help identify major pollution sources, thereby formulating more targeted governance measures. The evaluation of the relationship between emission status and air purification effects can provide data support for urban planning and development. Through comparative evaluation, cities can be encouraged to adopt more environmentally friendly transportation and industrial policies, promote the realization of sustainable development goals, establish a data-driven management model, and enhance the scientific nature and transparency of urban management.

[0043] Furthermore, the specific analysis process of the city emission status assessment value is as follows: ; In the formula, is the city emission status assessment value, is the daily average amount of nitrogen oxides emitted by urban traffic, is the daily average amount of carbon dioxide emitted by urban transportation, is the daily average total amount of inhalable particulate matter emitted by urban industries, is the compensation factor for the daily average amount of nitrogen oxides emitted by urban traffic. is the compensation factor for the daily average amount of carbon dioxide emitted by urban transportation, It is the compensation factor for the daily average total amount of inhalable particulate matter emitted by urban industries.

[0044] It needs to be explained that the above-mentioned urban emission status assessment value is calculated through the daily average total amount of nitrogen oxides emitted by urban traffic, the daily average total amount of carbon dioxide emitted by urban traffic, and the daily average total amount of inhalable particulate matter emitted by urban industry. The daily average total amount of nitrogen oxides emitted by urban traffic, the daily average total amount of carbon dioxide emitted by urban traffic, and the daily average total amount of inhalable particulate matter emitted by urban industry are normalized, which can clearly identify the main emission sources in the city, help formulate targeted emission reduction measures, and provide a basis for setting emission reduction targets. Regular assessment of emission status can monitor changes in the city's environmental quality in real time and discover problems in a timely manner. When the pollutant concentration exceeds the standard, it can respond quickly and take necessary emergency measures, which provides a basis for urban planning and development, promotes the implementation of sustainable development strategies such as green transportation and clean production, and sets urban transportation emissions. The compensation factors for the daily average total amount of nitrogen oxides, the daily average total amount of carbon dioxide emitted by urban traffic, and the daily average total amount of inhalable particulate matter emitted by urban industries are obtained from the database, and a mapping set of the historically measured daily average total amount of nitrogen oxides emitted by urban traffic, the daily average total amount of carbon dioxide emitted by urban traffic, and the daily average total amount of inhalable particulate matter emitted by urban industries and the compensation factors for the daily average total amount of nitrogen oxides emitted by urban traffic, the daily average total amount of carbon dioxide emitted by urban traffic, and the daily average total amount of inhalable particulate matter emitted by urban industries are established based on historical data to obtain the compensation factors for the daily average total amount of nitrogen oxides emitted by urban traffic, the daily average total amount of carbon dioxide emitted by urban traffic, and the daily average total amount of inhalable particulate matter emitted by urban industries corresponding to the current daily average total amount of nitrogen oxides emitted by urban traffic, the daily average total amount of carbon dioxide emitted by urban traffic, and the daily average total amount of inhalable particulate matter emitted by urban industries.

[0045] The urban air purification status judgment module is used to analyze the urban forest urban air purification status based on the urban forest tree species selection plan and the urban forest area deployment sequence, and judge whether the urban air purification status is qualified in combination with the urban air purification status reference evaluation value, and compare the urban forest adjustment plan corresponding to the unqualified urban air purification status.

[0046] Specifically, it is determined whether the urban air purification status is qualified, and the urban forest adjustment plan corresponding to the unqualified urban air purification status is compared. The specific analysis process is: based on the urban forest tree species selection plan and the urban forest area deployment sequence, the urban forest city air purification status is analyzed to obtain the urban air purification status data set. The urban air purification status data set specifically includes the ozone content after urban air purification, the carbon dioxide content after urban air purification, and the fine particulate matter concentration after urban air purification. The ozone content after urban air purification is usually a secondary pollutant in the urban environment, which is mainly generated by the reaction of nitrogen oxides and volatile organic compounds under sunlight. The purified ozone content The amount can reflect the reduced pollution sources and improved air quality. It is measured by ozone monitors (such as ultraviolet absorption spectrometers). Carbon dioxide is one of the main greenhouse gases in the carbon dioxide content after urban air purification, reflecting the city's energy consumption and traffic emissions. The purified carbon dioxide content can be used to evaluate the effectiveness of greenhouse gas emission reduction measures. Carbon dioxide monitors (such as non-dispersive infrared gas analyzers) are used to measure the concentration of carbon dioxide in the air. Fine particulate matter (PM2.5 and PM10) in the fine particulate matter concentration after urban air purification refers to particles with diameters less than 2.5 microns and 10 microns in the air, which are more harmful to health. The concentration after purification reflects the effectiveness of air purification measures. The effectiveness of the measures and their protection of public health, particulate matter monitoring equipment (such as laser particle counters or light scattering instruments) is used to measure the concentration of fine particulate matter in the air; based on the obtained urban air purification status data set, a comprehensive analysis is conducted to obtain the urban air purification status assessment value, and the urban air purification status assessment value is used as the analysis basis for judging whether the urban air purification status is qualified; the urban air purification status assessment value is compared with the urban air purification status reference assessment value; if the urban air purification status assessment value is higher than or equal to the urban air purification status reference assessment value, the urban air purification status corresponding to the urban air purification status assessment value is qualified; if the urban air purification status assessment value is lower than the urban air purification status reference assessment value, the urban air purification status corresponding to the urban air purification status assessment value is qualified. The urban air purification state reference assessment value is used, then the urban air purification state corresponding to the urban air purification state assessment value is unqualified, and the difference between the urban air purification state reference assessment value and the urban air purification state assessment value corresponding to the unqualified urban air purification state is recorded as the urban air purification state assessment deviation value, and the urban air purification state assessment deviation value is compared with the urban forest adjustment plans corresponding to the urban air purification state assessment deviation values ​​stored in the database to obtain the urban forest adjustment plan corresponding to the urban air purification state assessment deviation value, and the urban forest adjustment plan corresponding to the urban air purification state assessment deviation value represents the urban forest adjustment plan corresponding to the unqualified urban air purification state.

[0047] In a specific embodiment, ozone is mainly generated by the reaction of nitrogen oxides and volatile organic compounds under sunlight. If the city's air purification measures effectively reduce the emissions of nitrogen oxides and volatile organic compounds, it will generally lead to a decrease in ozone content. Carbon dioxide mainly comes from the burning of fossil fuels. If urban purification measures can reduce dependence on fossil fuels (such as promoting electric vehicles and renewable energy), it may also reduce emissions of carbon dioxide and other pollutants. When the concentration of greenhouse gases (such as carbon dioxide) rises, it may promote climate change, which will affect the chemical reaction process in the air and may indirectly affect the concentration of ozone and fine particulate matter. The impact of fine particulate matter on human health is significant, and their reduction often depends on the city's control of smoke, industrial emissions, etc. The reduction of fine particulate matter may improve air quality and also indirectly affect the reaction conditions for ozone generation.

[0048] It needs to be explained that, through the above analysis of the deviation value of air purification status assessment, cities can formulate targeted forest adjustment plans to deal with specific air quality problems, which makes the governance measures more precise. Reasonable forest adjustment plans can increase urban green space, thereby improving air purification capabilities and reducing pollutant concentrations, such as ozone and fine particulate matter. Through the adjustment plan of urban forests, it can promote the realization of sustainable development goals and promote the long-term layout of cities in environmental governance. Using the deviation value of air purification status assessment to adjust urban forests can provide scientific data as a basis for decision-making, making policies more reasonable and effective. Through the feedback of deviation values, a dynamic monitoring and management mechanism can be formed to timely adjust the governance strategy and urban forest layout to ensure continuous improvement of air quality.

[0049] Specifically, the urban air purification status assessment value, the specific analysis process is as follows: ; In the formula, is the city air purification status assessment value, The ozone content after urban air purification, The carbon dioxide content of the city air after purification. is the concentration of fine particles after urban air purification, is the compensation factor of the ozone content after the city air is purified. is the compensation factor for the carbon dioxide content after the city air is purified. is the compensation factor of fine particulate matter concentration after urban air purification, and e is a natural constant.

[0050] It needs to be explained that the above-mentioned urban air purification status assessment value is calculated through the ozone content, carbon dioxide content and fine particulate matter concentration after urban air purification. The normalized ozone content, carbon dioxide content and fine particulate matter concentration after urban air purification can clearly reflect the degree of improvement in urban air quality, help citizens understand the air pollution situation, and help identify the trend of improvement or deterioration of air quality. According to the air quality conditions in different regions, it can reasonably allocate governance resources, improve the efficiency of the use of funds and technology, help evaluate the concentration of harmful substances in the purified air, provide a basis for public health warning and protection measures, support real-time monitoring of air quality, quickly respond to sudden pollution incidents, and protect the health of residents. Promote energy conservation and emission reduction measures, and promote the transformation of cities to low-carbon development. The compensation factors of urban air ozone content, urban air carbon dioxide content, and urban air fine particulate matter concentration after purification are obtained from the database. According to historical data, a mapping set of historically measured urban air ozone content, urban air carbon dioxide content, and urban air fine particulate matter concentration and compensation factors of urban air ozone content, urban air carbon dioxide content, and urban air fine particulate matter concentration after purification is established to obtain the compensation factors of urban air ozone content, urban air carbon dioxide content, and urban air fine particulate matter concentration corresponding to the current urban air ozone content, urban air carbon dioxide content, and urban air fine particulate matter concentration after purification.

[0051] Reference Figure 2 As shown, the second aspect of the present invention provides an urban air purification method based on urban forests, comprising the following steps: analyzing historical urban air conditions and obtaining urban forest tree species selection plans by comparison; analyzing the operating conditions of various urban areas and obtaining the urban forest area deployment sequence by comparison; analyzing urban emission conditions and obtaining urban air purification status reference evaluation values ​​by comparison; analyzing urban forest urban air purification conditions based on the urban forest tree species selection plan and the urban forest area deployment sequence, judging whether the urban air purification conditions are qualified in combination with the urban air purification status reference evaluation values, and comparing the urban forest adjustment plans corresponding to the unqualified urban air purification conditions.

[0052] It needs to be explained that the above-mentioned urban air purification system and method based on urban forests can analyze the historical urban air status and make more scientific tree species selection and regional deployment decisions based on actual conditions to ensure the effectiveness and practicality of the plan. The comparison of tree species selection plans and regional deployment sequences can ensure efficient use of resources and avoid unnecessary waste, thereby improving the governance effect of urban forests. When the urban air quality changes, rapid adjustments and optimizations can be made to ensure the effectiveness of urban forests under different environmental conditions. By continuously adjusting the urban forest plan based on different air purification status evaluation values, the health and sustainable development of the ecosystem can be ensured.

[0053] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. An urban air purification system based on urban forest, characterized in that: It includes a tree species selection scheme comparison module, a regional deployment sequence comparison module, an air purification status reference assessment value comparison module and an urban air purification status judgment module, among which: The tree species selection scheme comparison module is used to analyze the historical urban air conditions and compare to obtain the urban forest tree species selection scheme; The regional deployment sequence comparison module is used to analyze the operation status of each area of ​​the city and compare to obtain the deployment sequence of the urban forest area; The air purification state reference evaluation value comparison module is used to analyze the city emission state and obtain the city air purification state reference evaluation value by comparison; The urban air purification status judgment module is used to analyze the urban forest urban air purification status based on the urban forest tree species selection plan and the urban forest area deployment sequence, and judge whether the urban air purification status is qualified in combination with the urban air purification status reference evaluation value, and compare the urban forest adjustment plan corresponding to the unqualified urban air purification status.

2. The urban air purification system based on urban forest according to claim 1, characterized in that: The above analysis of historical urban air conditions and comparison to obtain urban forest tree species selection scheme, the specific analysis process is as follows: Obtain a historical urban air status data set, and based on the obtained historical urban air status data set, comprehensively analyze and obtain historical urban air status characteristic values, and use the historical urban air status characteristic values ​​as an analysis basis for comparing and obtaining urban forest tree species selection plans; The historical urban air state characteristic values ​​are compared with the urban forest tree species selection schemes corresponding to the historical urban air state characteristic values ​​stored in the database to obtain the urban forest tree species selection schemes corresponding to the historical urban air state characteristic values.

3. The urban air purification system based on urban forest according to claim 2, characterized in that: The historical urban air status data set specifically includes historical urban air fine particulate matter concentration, historical urban air inhalable particulate matter concentration, historical urban air sulfur dioxide concentration, and historical urban air quality index.

4. The urban air purification system based on urban forest according to claim 1, characterized in that: The above analysis is done by analyzing the operation status of each area in the city and comparing it to obtain the deployment order of the urban forest area. The specific analysis process is as follows: Obtaining an urban area operation status data set, and based on the urban area operation status data set, comprehensively analyzing and obtaining the urban area operation status characteristic value, the urban area operation status characteristic value is used as the analysis basis for comparing and obtaining the deployment sequence of urban forest areas; Sort the characteristic values ​​of the urban area operation status from large to small; The sorting results of the urban areas corresponding to the sorting results of the characteristic values ​​of the urban area operation status are used as the deployment order of the urban forest area.

5. The urban air purification system based on urban forest according to claim 4, characterized in that: The urban area operation status data set specifically includes the resident population of the urban area, the daily average traffic volume of the urban area, and the average air quality index of the urban area.

6. The urban air purification system based on urban forest according to claim 1, characterized in that: The city emission status is analyzed and compared to obtain the reference evaluation value of the city air purification status. The specific analysis process is as follows: Obtain the urban emission status data set, which specifically includes the daily average total amount of nitrogen oxides emitted by urban traffic, the daily average total amount of carbon dioxide emitted by urban traffic, and the daily average total amount of inhalable particulate matter emitted by urban industry; Based on the acquired urban emission status data set, a comprehensive analysis is conducted to obtain the urban emission status assessment value, which is used as the analysis basis for comparing and obtaining the urban air purification status reference assessment value; The city emission status assessment value is compared with the city air purification status reference assessment value corresponding to each city emission status assessment value stored in the database to obtain the city air purification status reference assessment value corresponding to the city emission status assessment value.

7. The urban air purification system based on urban forest according to claim 6, characterized in that: The specific analysis process of the city emission status assessment value is as follows: ； In the formula, is the city emission status assessment value, is the daily average amount of nitrogen oxides emitted by urban traffic, is the daily average amount of carbon dioxide emitted by urban transportation, is the daily average total amount of inhalable particulate matter emitted by urban industries, is the compensation factor for the daily average amount of nitrogen oxides emitted by urban traffic. is the compensation factor for the daily average amount of carbon dioxide emitted by urban transportation, It is the compensation factor for the daily average total amount of inhalable particulate matter emitted by urban industries.

8. The urban air purification system based on urban forest according to claim 1, characterized in that: The specific analysis process of judging whether the urban air purification status is qualified and comparing the urban forest adjustment plan corresponding to the unqualified urban air purification status is as follows: Based on the urban forest tree species selection scheme and the urban forest area deployment sequence, the urban forest city air purification status is analyzed to obtain the urban air purification status data set, which specifically includes the ozone content after urban air purification, the carbon dioxide content after urban air purification, and the fine particulate matter concentration after urban air purification; Based on the acquired urban air purification status data set, a comprehensive analysis is performed to obtain an urban air purification status assessment value, which is used as an analysis basis for judging whether the urban air purification status is qualified; Compare the city air purification status assessment value with the city air purification status reference assessment value; If the city air purification status assessment value is higher than or equal to the city air purification status reference assessment value, the city air purification status corresponding to the city air purification status assessment value is qualified; If the urban air purification status assessment value is lower than the urban air purification status reference assessment value, the urban air purification status corresponding to the urban air purification status assessment value is unqualified, and the difference between the urban air purification status reference assessment value and the urban air purification status assessment value corresponding to the unqualified urban air purification status is recorded as the urban air purification status assessment deviation value, and the urban air purification status assessment deviation value is compared with the urban forest adjustment plans corresponding to the urban air purification status assessment deviation values ​​stored in the database to obtain the urban forest adjustment plan corresponding to the urban air purification status assessment deviation value, and the urban forest adjustment plan corresponding to the urban air purification status assessment deviation value represents the urban forest adjustment plan corresponding to the unqualified urban air purification status.

9. The urban air purification system based on urban forest according to claim 8, characterized in that: The specific analysis process of the city air purification status assessment value is as follows: ； In the formula, is the city air purification status assessment value, The ozone content after urban air purification, The carbon dioxide content of the city air after purification. is the concentration of fine particles after urban air purification, is the compensation factor of the ozone content after the city air is purified. is the compensation factor for the carbon dioxide content after the city air is purified. is the compensation factor of fine particulate matter concentration after urban air purification, and e is a natural constant.

10. A city air purification method based on urban forest, using an urban air purification system based on urban forest as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Analyze the historical urban air conditions and compare them to get the urban forest tree species selection plan; Analyze the operation status of each area of ​​the city and compare it to get the deployment order of urban forest areas; Analyze the city's emission status and compare it to obtain the reference assessment value of the city's air purification status; Based on the urban forest tree species selection plan and the urban forest area deployment sequence, the urban forest city air purification status is analyzed. Combined with the urban air purification status reference assessment value, it is judged whether the urban air purification status is qualified, and the urban forest adjustment plan corresponding to the unqualified urban air purification status is compared.

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