Atmospheric ozone pollution regulation and control method, device and equipment based on health protection

Abstract

The invention provides an atmospheric ozone pollution regulation and control method, device and equipment based on health protection, and belongs to the field of atmospheric pollution, the method comprises the following steps: acquiring the pollutant concentration of air in a target area, simulating an atmospheric chemical reaction process, quantifying the concentrations of intermediate substances and O3, and determining precursors; determining an emission source of the precursor based on the species concentration matrix of the precursor and a preset emission list, and further determining an emission source of an intermediate substance; obtaining health risk parameters, and determining a comprehensive health risk based on the health risk parameters and the concentrations of the intermediate substances, O3, VOCs and NOx; according to a preset emission reduction requirement, the emission reduction path is optimized with the purpose of minimizing the comprehensive health risk, and the optimal emission reduction path is determined under the condition that the comprehensive health risk is smaller than a preset threshold value. In this way, it is ensured that the O3 concentration can be reduced through regulation and control measures, and harmful intermediate accumulation caused by single emission reduction is avoided.

Description

Technical Field

[0001] This invention belongs to the field of air pollution, specifically relating to a method, device, and equipment for controlling atmospheric ozone pollution based on health protection. Background Technology

[0002] VOCs and NOx in ambient air are important precursors to O3 formation. As a key precursor to O3, VOCs have wide sources, diverse types, and participate in complex photochemical reaction processes. Source analysis and the development of emission reduction measures have always been hot topics in O3 pollution control research. VOCs, in particular, have a significant impact on human health.

[0003] Current research on ozone pollution control still focuses on formulating overall VOCs / NOx emission reduction scenarios. Since humans are directly exposed to ambient air, the process of O3 pollution control—including primary pollutant emissions, intermediate substance formation, environmental impacts from emission reductions, and the formation of secondary pollutants such as ozone—all affect human health. However, most current O3 pollution control studies neglect the importance of assessing human health risks during the control process. Summary of the Invention

[0004] To address the aforementioned problems, this invention provides a method, apparatus, and equipment for controlling atmospheric ozone pollution based on health protection.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A method for controlling atmospheric ozone pollution based on health protection, the method comprising: Obtain the concentration of pollutants in the air of the target area, including the concentration of all VOC species and NOx concentration; Based on the concentrations of VOCs species and NOx, atmospheric chemical reaction processes are simulated using a box model to quantify the concentrations of intermediate substances and O3 and identify the precursors that generate intermediate substances. The intermediate substances include transitional substances formed during the atmospheric chemical reaction process in which precursors generate O3. The precursors include VOCs and NOx. Based on the species concentration matrix of the precursors and the preset emission inventory, the emission sources of the precursors are determined by positive definite matrix factorization, and then the emission sources of intermediate substances are determined. The health risk parameters of the intermediate substance, O3, VOCs and NOx are obtained, and the comprehensive health risk is determined based on the health risk parameters and the concentrations of the intermediate substance, O3, VOCs and NOx. Based on the preset emission reduction requirements, emission reduction optimization is carried out on the emission sources of precursors and intermediates with the goal of minimizing overall health risks, and the optimization results are determined when the overall health risks are less than a preset threshold.

[0006] Optionally, based on the species concentration matrix of the precursors and a preset emission inventory, the emission sources of the precursors are determined by positive definite matrix factorization, including: A species concentration matrix of precursors is constructed. The species concentration matrix is ​​decomposed into a source component spectrum matrix and a source contribution matrix by positive definite matrix factorization. Multiple emission source factors and the contribution of each emission source factor to the precursor concentration are determined. The emission source factors and their contributions are matched with a preset emission inventory to determine the emission sources of precursors.

[0007] Optionally, the step of matching emission source factors and contributions according to a preset emission inventory to determine the emission source category includes: The extracted emission source factors are compared with the emission sources in the preset emission inventory using fingerprint spectrum analysis. By combining geographical and meteorological data, the spatiotemporal matching of the contribution of emission source factors is verified through backward trajectory analysis. The emission sources of precursors were determined based on the verification results.

[0008] Optionally, the step of quantifying the concentrations of intermediate substances and O3 by simulating atmospheric chemical reaction processes using a box model based on VOCs species concentration and NOx concentration includes: By embedding heterogeneous reaction pathways and free radical reaction pathways into the atmospheric chemical mechanism of the box model, multiple generation pathways of intermediate substances and O3 are obtained. The concentrations of intermediate substances and O3 were determined based on multiple generation pathways of intermediate substances and O3.

[0009] Optionally, determining health risks based on the health risk parameters and the concentrations of intermediate substances, O3, and VOCs and NOx includes: Individual health risks were calculated based on the corresponding concentrations of intermediate substances, O3, VOCs, and NOx, respectively, according to their respective health risk parameters. The sum of the individual health risks associated with intermediate substances, O3, VOCs, and NOx is used as the comprehensive health risk.

[0010] Optionally, the input for simulating atmospheric chemical reaction processes using a box model also includes meteorological data, including temperature, radiation intensity, humidity, and wind speed.

[0011] An atmospheric ozone pollution control device based on health protection, the device comprising: The acquisition module is used to acquire the concentration of pollutants in the air of the target area, including the concentration of all VOC species and NOx concentration; The simulation module is used to simulate atmospheric chemical reaction processes using a box model based on VOCs species concentration and NOx concentration, quantify the concentrations of intermediate substances and O3, and identify the precursors that generate intermediate substances; the intermediate substances include transitional substances formed during the atmospheric chemical reaction process in which precursors generate O3; the precursors include VOCs and NOx. The determination module is used to determine the emission sources of the precursors based on the species concentration matrix of the precursors and a preset emission inventory, and then determine the emission sources of the intermediate substances. The calculation module is used to obtain health risk parameters of the intermediate substance, O3, VOCs and NOx, and determine the comprehensive health risk based on the health risk parameters and the concentrations of the intermediate substance, O3, VOCs and NOx. The optimization module is used to optimize the emission sources of precursors and intermediates based on preset emission reduction requirements, with the goal of minimizing overall health risks, and to determine the optimization results when the overall health risks are less than a preset threshold.

[0012] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned method for controlling atmospheric ozone pollution based on health protection.

[0013] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the aforementioned method for controlling atmospheric ozone pollution based on health protection.

[0014] The method for controlling atmospheric ozone pollution based on health protection provided by this invention has the following beneficial effects: By combining full-component VOCs and NOx concentration monitoring with box model simulation, the dynamic generation process of O3 and its key intermediates is accurately quantified, compensating for the neglect of health hazards of reaction chain intermediates in traditional studies. Secondly, by using positive definite matrix factor decomposition to trace the source of precursor emissions, key pollution sources with high contribution rates to health risks can be identified. Furthermore, by introducing health risk parameters to construct a comprehensive health risk model, O3 exposure, intermediate substance hazards, and the synergistic toxicity of VOCs and NOx are included in the assessment. Finally, based on the goal of minimizing health risks, emission reduction pathways are optimized to ensure that control measures can not only reduce O3 concentrations but also avoid the accumulation of harmful intermediates due to single emission reductions. This achieves a paradigm upgrade from "simple concentration control" to "prioritizing health benefits," providing decision-making basis for environmental protection that combines scientific validity and public health value. Attached Figure Description

[0015] To more clearly illustrate the embodiments and design schemes of the present invention, the accompanying drawings required for this embodiment will be briefly described below. The drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic flowchart of an atmospheric ozone pollution control method based on health protection provided by the present invention according to an exemplary embodiment.

[0017] Figure 2 This is a schematic diagram illustrating the analysis of pollutant sources according to an exemplary embodiment of the present invention.

[0018] Figure 3 This is a schematic diagram of a risk assessment process provided by the present invention according to an exemplary embodiment.

[0019] Figure 4 This is a schematic diagram of an emission reduction path optimization process provided by the present invention according to an exemplary embodiment.

[0020] Figure 5 This is a schematic flowchart of another method for controlling atmospheric ozone pollution based on health protection according to an exemplary embodiment of the present invention.

[0021] Figure 6 This is a block diagram of an atmospheric ozone pollution control device based on health protection, provided according to an exemplary embodiment of the present invention. Detailed Implementation

[0022] To enable those skilled in the art to better understand and implement the technical solutions of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and should not be construed as limiting the scope of protection of the present invention.

[0023] This invention utilizes an improved box model, coupling chemical reaction pathways with acceptor source analysis, to track intermediate substances and trace their precursors during the reaction process. Simultaneously, it overlays a comprehensive health risk assessment, quantifying health risks and establishing emission reduction scenarios based on these risks. With health risk minimization as the guiding principle, it analyzes and identifies the optimal emission reduction path. Thus, this invention provides a more comprehensive analysis of ozone pollution generation, establishing precise ozone pollution control methods down to the production stages of various industries from a health protection perspective.

[0024] The technical solutions provided by the various embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0025] First, this invention provides a method for controlling atmospheric ozone pollution based on health protection, specifically as follows: Figure 1 As shown, it includes the following steps: S101. Obtain the concentration of pollutants in the air of the target area, including the concentration of all VOC species and NOx concentration.

[0026] This step requires data acquisition, including the concentration of all VOC species, the concentration of various air pollutants (NOx, CO, O3, etc.), and meteorological and geographical data under the same spatial and temporal conditions.

[0027] For example, corresponding monitoring equipment can be deployed at monitoring points in different areas. Core monitoring points in industrial zones: Pollution monitoring points should be set up in areas with high VOC emissions, such as paint production workshops and organic solvent storage areas, with sampling equipment installed 50-100 meters away from the pollution source; Main traffic artery monitoring points: Monitoring points should be set up on roads surrounding the industrial park, focusing on capturing NOx emissions from vehicle exhaust; Background control points: Background points should be established 3-5 kilometers upwind of the industrial park to distinguish between local pollution and the impact of regional transport.

[0028] S102. Based on the concentrations of VOCs species and NOx, simulate atmospheric chemical reaction processes using a box model, quantify the concentrations of intermediate substances and O3, and determine the precursors for generating intermediate substances.

[0029] The intermediate substances include transitional substances formed during the atmospheric chemical reaction process that generates O3 from precursors; these precursors include VOCs and NOx. In addition, to accurately simulate the atmospheric environment, the input for simulating atmospheric chemical reaction processes using the box model also includes meteorological data, including temperature, radiation intensity, humidity, and wind speed.

[0030] Current bin model results focus more on precursors (mainly VOCs and NOx) and final products (O3), neglecting intermediate substances and heterogeneous atmospheric chemical reactions. For example, the ozone formation pathway primarily focuses on the two major reactions RO2+NO and HO2+NO, with less attention paid to free radical chemistry, especially RO2 free radical chemistry and reactive halogens, and a lack of attention to the generation and consumption pathways of intermediate substances. Therefore, in this step, to accurately obtain the source and concentration of intermediate substances and the concentration of O3, this invention requires improvements to the bin model.

[0031] For example, this invention improves the functionality of the heterogeneous reaction portion of atmospheric chemical reactions in the box model, particularly other heterogeneous chemical reactions such as the direct formation of HONO, surface formation, NO2 conversion on aerosol surfaces, nitrate photolysis, and HONO dry deposition. This embeds heterogeneous reaction pathways and free radical reaction pathways into the atmospheric chemical mechanism of the box model, obtaining multiple generation pathways for intermediate substances and O3; based on these multiple generation pathways, the concentrations of intermediate substances and O3 can be determined more accurately.

[0032] This invention couples atmospheric chemical mechanisms to a box model, further refining key free radical chemical reactions based on existing atmospheric chemical mechanisms. Specifically, it supplements and improves the chemical reactions between RO2 and OH free radicals, building upon the existing RO2+OH reaction. Simultaneously, it adds and supplements atmospheric chemical reaction mechanisms related to reactive halogen compounds. The coupling of these refined atmospheric chemical mechanisms with the improved box model enhances the accuracy of simulation results and the completeness of atmospheric chemical reactions. Thus, this invention comprehensively considers various oxygen-containing intermediates (such as aldehydes, ketones, peroxides, and organic nitrates) and intermediate free radicals such as Kjeldahl intermediates, in addition to precursors and final products. Furthermore, it elucidates the relevant reaction pathways of "precursor-intermediate-ozone" based on atmospheric chemical reaction mechanisms, achieving quantification, particularly for the chemical reaction pathways of intermediate substances, and further enabling species quantification.

[0033] Based on the above steps, by coupling chemical reaction pathways with existing ozone pollution research and analysis, it is possible to achieve quantitative and qualitative analysis of specific reaction pathways, especially to track the reaction pathways of key intermediate substances in the reaction process.

[0034] Using the improved box model, based on the reaction network of atmospheric chemical mechanisms, a series of reaction steps experienced by specific precursors during photochemical oxidation can be traced, identifying key intermediates generated along their degradation pathways (such as methylglyoxal, peroxyacetyl nitrate precursor PAN, and peroxyacetyl radical). This enables the identification of intermediate substances and key precursors of free radicals.

[0035] S103. Based on the species concentration matrix of the precursor and the preset emission inventory, determine the emission sources of the precursor through positive definite matrix factor decomposition, and then determine the emission sources of the intermediate substances.

[0036] like Figure 2 As shown, the box model in this invention is also coupled with receptor source analysis, which can enable the tracing of intermediate substances. In particular, the source analysis results can be identified down to the specific production unit of the primary emission source, achieving more refined source analysis.

[0037] In this step, a species concentration matrix of precursors can be constructed. The species concentration matrix is ​​decomposed into a source component spectrum matrix and a source contribution matrix by positive definite matrix factorization. Multiple emission source factors and the contribution of each emission source factor to the precursor concentration are determined. The emission source factors and contributions are matched with a preset emission inventory to determine the emission source of the precursor. The emission source is the emission source category in the preset emission inventory.

[0038] Specifically, by matching emission source factors and contributions according to a preset emission inventory, the resolved emission source factors can be compared with the emission sources in the preset emission inventory using fingerprint spectrum analysis; by combining geographical and meteorological data, the spatiotemporal matching of the emission source factor contributions is verified through backward trajectory; and the emission sources of precursors are determined based on the verification results.

[0039] In one embodiment, based on box model simulation results, a quantitative or semi-quantitative relationship has been established between the observed intermediate concentrations in the atmosphere and their main primary emission precursors (i.e., precursors). For the observed primary emission precursor concentration data, a receptor model is applied for source apportionment. The main precursor (VOCs and NOx) emission source categories (such as solvent use sources, industrial process sources, vehicle exhaust sources, biomass combustion sources, natural sources, etc.) and their contributions to total VOCs / NOx or specific VOCs precursors are identified. Simultaneously, ozone source apportionment results are calculated by coupling the receptor source apportionment results with the box model. The "intermediate-precursor" relationship obtained from the box model is linked with the "precursor-source category" relationship obtained from the PMF. The contribution of emission sources to the formation of intermediate substances is estimated.

[0040] For example, emission inventories can be combined to match and verify the resolved source categories with local high-resolution emission inventories that include production unit information (such as MEIC inventories or locally built inventories, detailed down to the enterprise, specific production line, or process). For instance, if a receptor model identifies an "industrial solvent use source," the inventory can identify which factories and which production stages (such as spraying or cleaning) are the main solvent users in the corresponding region. Simultaneously, the source composition profile resolved by the receptor model can be compared with the emission species fingerprint profiles of different production units in the emission inventory, improving matching accuracy. Furthermore, by combining meteorological data (such as wind direction and speed) and the source's geographical location information, simple trajectory analysis or diffusion models can be used to help determine the likelihood that pollutants at the observation point are affected by specific production units upwind.

[0041] S104. Obtain the health risk parameters of the intermediate substance, O3, VOCs and NOx, and determine the comprehensive health risk based on the health risk parameters and the concentrations of the intermediate substance, O3, VOCs and NOx.

[0042] In this step, such as Figure 3As shown, individual health risks can be calculated based on the health risk parameters of intermediate substances, O3, and VOCs and NOx at their respective concentrations; the sum of the individual health risks corresponding to intermediate substances, O3, and VOCs and NOx is taken as the comprehensive health risk.

[0043] In one embodiment, the health risk assessment in this invention includes the health risks of primary emission sources and the health risks of various production units, particularly the health risks of key intermediate substances in chemical reaction pathways.

[0044] For example, risk assessment targets include primary air pollutants (i.e., VOCs and NOx), key intermediates generated by atmospheric photochemical reactions (such as formaldehyde, acetaldehyde, acrolein, PANs, etc.), and ozone. The health risk of a production unit is determined by source apportionment of ozone-forming precursors (PMFs), combined with the emission characteristics of pollutants in the emission inventory, and process technology analysis. Precursors are then categorized and assigned to production units. Health risk calculations are performed on these categorized precursors to determine the health risk of the production unit. Health risk parameters for these pollutants, such as unit risk factors (URFs) or reference concentrations (RfCs) / reference doses (RfDs), are collected or estimated. These parameters are typically obtained from WHO, US EPA IRIS databases, and Chinese environmental standards. Calculations are then performed based on the acquired data.

[0045] Exposure concentration determination: Primary pollutant concentrations were determined directly using observed concentrations. Intermediate substances and ozone concentrations were determined using concentrations obtained through model simulations.

[0046] Individual health risk calculation: Carcinogenic risk = Exposure concentration × URF × Exposure factor; Non-carcinogenic risk (hazard quotient HQ) = exposure concentration / RfC.

[0047] Comprehensive health risk calculation: The comprehensive health risk of a primary emission source includes the health risks of all production units within that source, the health risks of intermediate substances, the observed health risks of precursors, and the health risks of ozone; the comprehensive health risk includes the health risks of each primary emission source.

[0048] S105. Based on the preset emission reduction requirements, optimize the emission sources of precursors and intermediates with the goal of minimizing overall health risks, and determine the optimization results if the overall health risks are less than the preset threshold.

[0049] The refined emission reduction scenario construction in this invention is based on the health risks of each primary emission source and each production unit, which includes the superposition of the health risks of intermediate substances in primary emission sources and specific production units.

[0050] like Figure 4 As shown, this step begins with a full-process health risk assessment, followed by a refined emission reduction scenario phase. This phase serves as a core control node, continuously optimizing emission parameters to form a dynamic feedback loop. The system then inputs pollutant emissions into an improved bin model for simulation calculations. The output results are fed into the ozone pollution control decision module. If the target is not met, a scenario rollback mechanism is automatically triggered, readjusting the emission reduction strategy until ozone levels are within acceptable limits. After passing this phase, a health risk assessment phase begins. The system calculates the risk value by comprehensively considering exposure dose and toxicity data. When the risk exceeds a threshold, scenario iteration is also triggered. Ultimately, the system converges to the optimal emission reduction path that minimizes health risk, forming a closed-loop management system of "monitoring-simulation-assessment-optimization".

[0051] In one embodiment, emission reduction scenarios can be formulated based on emission reduction requirements and technical solutions from relevant departments or localities. Different pollution reduction schemes can be organized and summarized to derive different combinations of emission reduction scenarios detailed to specific production units. Based on the constructed refined emission reduction scenarios, the health risks under different scenarios are quantified, especially with the principle of minimizing health risks, to derive the optimal path for precursor emission reduction.

[0052] Based on the above methods, such as Figure 5 As shown, in another embodiment, the present invention comprises four main steps. The first section, "Data Acquisition," details the acquisition of VOC species concentrations and other required pollutant concentrations, along with meteorological and geographical data under spatiotemporal conditions. Next, "Improved Box Model Coupled with Receptor Source Apportionment to Obtain Refined Source Apportionment Results," explains how the existing box model was improved to simulate the generation of secondary pollutants such as ozone based on observational data. By coupling chemical reaction pathways with receptor source apportionment, intermediates and precursors were traced down to the specific production unit of primary emissions, resulting in a "bottom-up" refined source apportionment. Then, "Health Risk Assessment," on the right, presents a comprehensive health risk assessment based on the refined source apportionment results, overlaid with intermediate quality control and precursor data. This is coupled with regional sensitivity analysis and epidemiological data to obtain the health risk contribution of each primary emission source, including different production units. Finally, "Scenario Analysis to Determine the Optimal Emission Reduction Path," on the right, explains how a refined emission reduction scenario model was established based on the health risk contribution of each primary emission source. By comparing the impact of different emission reduction mechanisms on the health risk reduction of each source group under different emission reduction scenarios, the optimal emission reduction path that minimizes health risk was obtained.

[0053] Using the above methods, the dynamic generation process of O3 and its key intermediates is accurately quantified by combining full-component VOCs and NOx concentration monitoring with box model simulation, thus compensating for the neglect of health hazards of reaction chain intermediates in traditional studies. Secondly, by using positive definite matrix factor decomposition to trace the source of precursor emissions, key pollution sources with high contribution rates to health risks can be identified. Furthermore, by introducing health risk parameters to construct a comprehensive health risk model, O3 exposure, intermediate substance hazards, and the synergistic toxicity of VOCs and NOx are included in the assessment. Finally, based on the goal of minimizing health risks, emission reduction pathways are optimized to ensure that control measures can not only reduce O3 concentrations but also avoid the accumulation of harmful intermediates due to single emission reductions. This achieves a paradigm upgrade from "simple concentration control" to "prioritizing health benefits," providing decision-making basis for environmental protection that combines scientific validity and public health value.

[0054] Secondly, this invention also provides an atmospheric ozone pollution control device based on health protection, such as... Figure 6 As shown, it includes: The acquisition module 201 is used to acquire the concentration of pollutants in the air of the target area, including the concentration of all VOC species and NOx concentration.

[0055] The simulation module 202 is used to simulate atmospheric chemical reaction processes using a box model based on VOCs species concentration and NOx concentration, quantify the concentrations of intermediate substances and O3, and identify the precursors that generate intermediate substances; the intermediate substances include transitional substances formed during the atmospheric chemical reaction process in which precursors generate O3; the precursors include VOCs and NOx.

[0056] The determination module 203 is used to determine the emission sources of the precursors by positive definite matrix factorization based on the species concentration matrix of the precursors and a preset emission inventory, and then determine the emission sources of the intermediate substances.

[0057] The calculation module 204 is used to obtain the health risk parameters of the intermediate substance, O3, VOCs and NOx, and determine the comprehensive health risk based on the health risk parameters and the concentrations of the intermediate substance, O3, VOCs and NOx.

[0058] The optimization module 205 is used to optimize the emission sources of precursors and intermediates based on preset emission reduction requirements with the goal of minimizing overall health risks, and to determine the optimization result when the overall health risks are less than a preset threshold.

[0059] The present invention also provides a computer-readable storage medium storing a computer program that can be used to execute the above-described... Figure 1 The steps of the proposed method for controlling atmospheric ozone pollution based on health protection are described.

[0060] This invention also provides a computer device. At the hardware level, the computer device includes a processor, an internal bus, a network interface, memory, and non-volatile memory, and may also include other hardware required for various operations. The processor reads the corresponding computer program from the non-volatile memory into memory and then executes it to achieve the above-mentioned functions. Figure 1 The steps of the proposed method for controlling atmospheric ozone pollution based on health protection are described.

[0061] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0062] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0063] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0064] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0065] It should be noted that the specific embodiments described above enable those skilled in the art to more fully understand the present invention, but do not limit the present invention in any way. Therefore, although the present invention has been described in detail in this specification, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the present invention; and all technical solutions and improvements that do not depart from the spirit and scope of the present invention are covered within the protection scope of the patent of the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A health protection-based atmospheric ozone pollution regulation method, characterized in that, The method comprises: acquiring pollutant concentrations of air in a target area, including concentrations of full-component VOCs species and NOx; simulating atmospheric chemical reaction processes according to the concentrations of VOCs species and NOx by a box model, quantifying concentrations of intermediate substances and O3 and determining precursors of the intermediate substances; the intermediate substances include transitional substances formed in the atmospheric chemical reaction processes of the precursors generating O3; the precursors include VOCs and NOx; determining emission sources of the precursors based on a species concentration matrix of the precursors and a preset emission inventory, and further determining emission sources of the intermediate substances by positive definite matrix factorization; acquiring health risk parameters of the intermediate substances, O3, and VOCs and NOx, and determining comprehensive health risks based on the health risk parameters and the concentrations of the intermediate substances, O3, and VOCs and NOx; performing emission reduction optimization on the emission sources of the precursors and the intermediate substances according to a preset emission reduction requirement, with the objective of minimizing the comprehensive health risks, and determining an optimization result in the case that the comprehensive health risks are less than a preset threshold.

2. The method of claim 1, wherein, The method comprises: constructing a species concentration matrix of the precursors, decomposing the species concentration matrix into a source component spectrum matrix and a source contribution matrix by positive definite matrix factorization, determining a plurality of emission source factors and a contribution degree of each emission source factor to the concentration of the precursors, and matching the emission source factors and the contribution degrees according to the preset emission inventory to determine the emission sources of the precursors.

3. The method of claim 2, wherein, The method comprises: performing fingerprint spectrum comparison between the resolved emission source factors and emission sources in the preset emission inventory; combining geographical data and meteorological data to verify spatiotemporal matching of the contribution degrees of the emission source factors by backward trajectory; determining the emission sources of the precursors based on the verification result.

4. The method of claim 1, wherein, The method comprises: embedding heterogeneous reaction paths and free radical reaction paths in the atmospheric chemical mechanism of the box model to obtain a plurality of generation paths of the intermediate substances and O3; determining the concentrations of the intermediate substances and O3 based on the plurality of generation paths of the intermediate substances and O3.

5. The method of claim 1, wherein, The method comprises: calculating single-item health risks according to the health risk parameters of the intermediate substances, O3, and VOCs and NOx respectively at corresponding concentrations; taking a sum of the single-item health risks of the intermediate substances, O3, and VOCs and NOx respectively as the comprehensive health risks.

6. The method of claim 1, wherein, The input of the method of simulating atmospheric chemical reaction processes by the box model further comprises meteorological data, including temperature, radiation intensity, humidity, and wind speed.

7. A health protection-based atmospheric ozone pollution regulation device, characterized by, The device comprises: an acquisition module configured to acquire pollutant concentrations of air in a target area, including concentrations of full-component VOCs species and NOx; An analog module is configured to simulate atmospheric chemical reaction processes by a box model according to concentrations of VOCs species and NOx, quantify concentrations of intermediate substances and O3, and determine precursors of the intermediate substances; the intermediate substances include transitional substances formed in the atmospheric chemical reaction processes in which the precursors generate O3; and the precursors include VOCs and NOx; A determination module is configured to determine emission sources of the precursors by positive definite matrix factorization based on a species concentration matrix of the precursors and a preset emission inventory, and further determine emission sources of the intermediate substances; A calculation module is configured to obtain health risk parameters of the intermediate substances, O3, and VOCs and NOx, and determine a comprehensive health risk based on the health risk parameters and concentrations of the intermediate substances, O3, and VOCs and NOx; An optimization module is configured to perform emission reduction optimization on the emission sources of the precursors and the intermediate substances according to a preset emission reduction requirement and with minimization of the comprehensive health risk as a target, and determine an optimization result in a case where the comprehensive health risk is less than a preset threshold.

8. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, and the computer program is executed by the processor to implement the method in any one of claims 1-6.

9. A computer device, comprising: The computer program is stored in the memory and executable on the processor, and the processor implements the method in any one of claims 1-6 when executing the program.

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