A method for formulating an active VOCs fine reduction scheme to meet ozone standards

Abstract

The application provides a method for preparing an active VOCs fine reduction scheme for realizing ozone standard, and the steps are as follows: S1: forecasting urban air quality based on a regional air quality model; S2: if there is an over-standard risk of ozone pollution, determining a priority control region in combination with a Lagrangian particle diffusion model; S3: simulating and calculating the minimum total amount of VOCs reduction required in the ozone standard control region through a model sensitivity experiment; S4: calculating the ozone formation potential (OFP) of each industry in the control region according to the VOCs emission inventory basic data of the city; S5: distributing the required total amount of VOCs reduction to each enterprise in each industry according to the weight based on the OFP of each industry in the control region and the VOCs enterprise rating, and forming an emergency reduction list; and S6: providing an active VOCs reduction scheme that can realize ozone standard to the urban environmental management department. The application can quickly and effectively provide an active VOCs emergency reduction scheme for an ozone pollution day, and provide scientific support for the control of the ozone-dominated atmospheric pollution problem in the city.

Description

Technical Field

[0001] This invention belongs to the field of environmental science and engineering, and relates to the study of the relationship between volatile organic compound (VOCs) emissions and ozone response. Specifically, it relates to a method for formulating a refined emission reduction scheme for reactive VOCs to achieve ozone compliance. Background Technology

[0002] In recent years, the characteristics of air pollution in large urban agglomerations have shifted from simple coal-fired pollution to regional complex pollution dominated by secondary pollutants such as ozone. This is because ozone formation is linked to its precursors (VOCs and NOx). x Ozone emissions exhibit a non-linear response, making their pollution control significantly more difficult. In urban areas, ozone formation typically falls within VOCs control zones, meaning that reducing VOCs emissions yields the greatest rate and magnitude of ozone concentration reduction. VOCs are crucial for the coordinated prevention and control of secondary pollution in cities, and total VOCs control has become a binding indicator for national air quality management. However, because VOCs emissions originate from various industries and are dispersed across different emission points, the reactivity of VOCs from different sources can differ by up to three orders of magnitude, greatly increasing the difficulty of VOCs control. Therefore, to achieve the maximum ozone reduction benefits, it is necessary to scientifically formulate feasible emission reduction plans specifically for reactive VOCs. Summary of the Invention

[0003] (a) Technical problems to be solved

[0004] In view of the above-mentioned technical problems, the present invention provides a method for formulating a refined emission reduction plan for reactive VOCs to achieve ozone standards. This method can quickly and effectively provide environmental management departments with emergency emission reduction plans for reactive VOCs on days with ozone pollution, and provide scientific support for the control of ozone-dominated air pollution problems in cities.

[0005] (II) Technical Solution

[0006] This invention provides a method for formulating a refined emission reduction scheme for reactive VOCs to achieve ozone control standards, the steps of which are as follows:

[0007] S1: Urban air quality forecast based on the regional air quality model WRF / Chem;

[0008] S2: If the forecast indicates a risk of exceeding air pollution standards, the main source areas of the polluted air mass will be identified as priority control areas by combining the FLEXPART Lagrange particle diffusion model.

[0009] S3: Based on the regional air quality model WRF / Chem, through VOCs gradient emission reduction sensitivity experiments in the control area, simulate and calculate the minimum total amount of VOCs emission reduction required to achieve ozone standards.

[0010] S4: Based on the basic data of the city's VOCs emission inventory, calculate the ozone generation potential (OFP) of each industry within the control area;

[0011] S5: Based on the relative proportion of OFP in each industry and the VOCs enterprise rating within the control area, the required total VOCs emission reduction is allocated to each enterprise in each industry according to weight, forming an emergency emission reduction list based on reactive VOCs.

[0012] S6: Based on the emergency emission reduction list, provide the city's environmental management department with the optimal active VOCs emission reduction plan that can achieve ozone standards.

[0013] In some embodiments of the present invention, step S1 simulates and calculates the meteorological elements and atmospheric pollutant concentrations of the city and surrounding areas for the next 7 days based on the regional air quality model WRF / Chem, and provides the future meteorological conditions, AQI range and spatiotemporal variation trends of the primary pollutant at the national air quality monitoring station of the city, thereby timely forecasting possible ozone heavy pollution processes in the city.

[0014] In some embodiments of the present invention, step S2, combined with the FLEXPART Lagrange particle diffusion model, determines the potential source region S of ozone precursor VOCs during the pollution process through a 48-hour simulation. The total VOCs emissions within this priority control area are [VOCs]. S .

[0015] In some embodiments of the present invention, step S3 involves [VOCs]. S Gradient emission reduction sensitivity experiment, simulating and calculating the minimum total emission reduction of VOCs within the control area, the method is as follows:

[0016] (1) Set VOCs emission reduction targets of 20%, 50%, 70%, and 100%. S Simulation experiments, specifically [VOCs] S-20％ [VOCs] S-50％ [VOCs] S-70％ and [VOCs] S-100％ ;

[0017] (2) The simulated decrease in average ozone concentration (%) at national monitoring stations in the city was as follows: ΔO 3-20％ , △O 3-50％ , △O 3-70％ and △O 3-100％ ;

[0018] (3) By using the least squares linear fitting method, the response relationship of ozone concentration to VOCs emission reduction in the priority control area was obtained, and the calculation formula is as follows:

[0019] △O3(%)=a*[VOCs]S-x％

[0020] Where a is the fitting coefficient;

[0021] (4) To achieve ozone compliance, the required ozone concentration reduction is the relative difference between the forecast concentration and the national standard for the maximum 8-hour daily ozone concentration (160 micrograms per cubic meter), calculated as follows:

[0022]

[0023] (5) It can achieve the minimum total VOCs emission reduction required in the ozone control area.

[0024] The calculation formula is: [VOCs] S-min％ =△O 3-min％ / a.

[0025] In some embodiments of the present invention, the VOCs emission reduction amount of each industry within the control area in step S4 is allocated based on the relative proportion of the VOCs emitted by each industry to the ozone generation potential (OFP), that is, the VOCs emission reduction amount required by industries with high VOCs emission is relatively high.

[0026] In some embodiments of the present invention, the VOCs enterprise rating management regulations further classify enterprises in various industries within the control area into three categories: A, B, and C. Category A enterprises are those with excellent environmental protection measures, Category B enterprises are those with average environmental protection measures, and Category C enterprises are those with poor environmental protection measures. Emission reduction plans can be implemented based on different types of enterprises to achieve differentiated emission reductions.

[0027] In some embodiments of the present invention, during the implementation of differentiated emission reduction for different types of enterprises, priority is given to managing Class C enterprises, followed by Class B enterprises, and finally Class A enterprises, until the required total VOCs emission reduction is achieved; the VOCs emission reduction for Class C enterprises is 100%, the VOCs emission reduction for Class B enterprises is 30% to 60%, and the VOCs emission reduction for Class A enterprises is 0% to 20%.

[0028] In some embodiments of the present invention, step S6 further includes a scheme effectiveness evaluation step, the specific steps of which are as follows:

[0029] On-site inspections were conducted on enterprises within the controlled area to ensure the implementation of industrial emergency emission reduction measures during polluted weather and to obtain information on VOCs emission reduction by each enterprise.

[0030] We used the regional air quality model WRF / Chem to conduct a post-evaluation of different emission reduction scenarios for this pollution process and analyzed the effectiveness of emergency emission reduction schemes based on reactive VOCs.

[0031] In some embodiments of the present invention, the different emission reduction scenarios include not taking emergency emission reduction measures, 100% implementation of emergency emission reduction plans, and actual implementation of emission reduction measures.

[0032] (III) Beneficial Effects

[0033] As can be seen from the above technical solution, the present invention has at least one of the following beneficial effects:

[0034] (1) This invention forecasts urban air quality based on the WRF / Chem model. If the forecast of air pollution is at risk of exceeding the standard, the FLEXPART model is used to determine the priority control area. Then, through sensitivity experiment simulation calculation, the minimum total amount of VOCs emission reduction required in the ozone control area can be more accurate, which facilitates the precise reduction of VOCs in the urban control area and has little impact on the normal life and production in most other parts of the city.

[0035] (2) Based on the ozone generation potential (OFP) of various industries in the city, this invention screens out the industries that emit highly reactive VOCs that need to be controlled, which reduces the difficulty of VOCs treatment and effectively improves the implementation effect of emission reduction schemes.

[0036] (3) This invention classifies enterprises in various industries into three categories, A, B and C, based on the VOCs enterprise rating management regulations, and implements differentiated emission reduction based on the level of environmental protection measures of different enterprises, which effectively protects the normal production and operation of enterprises with good protection measures. Attached Figure Description

[0037] Figure 1 A schematic diagram illustrating the specific steps involved in developing a method for controlling the emissions of reactive VOCs.

[0038] Figure 2 This diagram illustrates the specific steps involved in simulating and calculating the minimum total emission reduction of VOCs through sensitivity experiments.

[0039] Figure 3 A schematic diagram illustrating the methodology for developing emission control schemes for reactive VOCs. Detailed Implementation

[0040] This invention provides a method for developing a refined emission reduction plan for reactive VOCs to achieve ozone pollution standards. It can quickly and effectively provide environmental management departments with emergency emission reduction plans for reactive VOCs on days with predicted ozone pollution, providing scientific support for the control of ozone-dominant air pollution problems in cities. To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments and accompanying drawings. Specific Implementation

[0042] Example 1

[0043] like Figure 1 , 3 As shown, this invention provides a method for formulating a refined emission reduction scheme for reactive VOCs to achieve ozone standards, characterized by the following steps:

[0044] S1: Based on the regional air quality model WRF / Chem, the city's air quality is predicted. The meteorological elements and atmospheric pollutant concentrations in the city and surrounding areas are simulated and calculated for the next 7 days. The future meteorological conditions, AQI range and spatiotemporal variation trends of primary pollutants at the national air quality monitoring stations in the city are given, so as to timely predict possible ozone pollution processes in the city.

[0045] S2: If the air pollution forecast indicates a risk of exceeding standards, the main source areas of the polluted air masses are identified as priority control areas using the FLEXPART Lagrange particle diffusion model. The FLEXPART model calculates the trajectories of gaseous masses or particles released from emission sources based on the Lagrange method, and can be used to describe the transport and diffusion processes of tracers in the atmosphere. Originally used in research on nuclear leak accidents, this invention uses a 48-hour backward simulation based on this model to identify potential source areas S of ozone precursor VOCs. The total VOC emissions within this priority control area are [VOCs]. S ;

[0046] S3: Based on the regional air quality model WRF / Chem, through a VOCs gradient emission reduction sensitivity experiment within the control area, the minimum total VOCs emission reduction required to achieve ozone standards is simulated and calculated. The calculation method is as follows:

[0047] (1) Set VOCs emission reduction targets of 20%, 50%, 70%, and 100%. S Simulation experiments, specifically [VOCs] S-20％ [VOCs] S-50％ [VOCs] S-70％ and [VOCs] S-100％ ;

[0048] (2) The simulated decrease in average ozone concentration (%) at national monitoring stations in the city was as follows: ΔO 3-20％ , △O 3-50％ , △O 3-70％ and △O 3-100％ ;

[0049] (3) By using the least squares linear fitting method, the response relationship of ozone concentration to VOCs emission reduction in the priority control area was obtained, and the calculation formula is as follows:

[0050] △O3(%)=a*[VOCs] S-x％

[0051] Where a is the fitting coefficient;

[0052] (4) To achieve ozone compliance, the required ozone concentration reduction is the relative difference between the forecast concentration and the national standard for the maximum 8-hour daily ozone concentration (160 micrograms per cubic meter), calculated as follows:

[0053]

[0054] (5) The minimum total VOCs emission reduction required to achieve ozone control standards within the designated area is calculated as follows:

[0055] [VOCs] S-min％ =△O 3-min％ / a;

[0056] S4: Based on the city's VOCs emission inventory data, calculate the ozone formation potential (OFP) of each industry within the control area. Ozone formation potential (OFP) is an indicator parameter used to measure the potential of different VOCs species to generate ozone. It reflects the impact of VOCs species reactivity on ozone formation and can be used to analyze the potential contribution of VOCs species from different emission sources to ozone in ambient air, thereby identifying key reactive VOCs control sources. This invention can effectively screen out highly reactive VOCs industries that contribute significantly to ozone pollution in this way.

[0057] S5: Based on the relative proportion of OFP in each industry and the VOCs enterprise rating within the control area, the required total VOCs emission reduction is allocated to each enterprise in each industry according to weight, forming an emergency emission reduction list based on reactive VOCs.

[0058] The VOCs emission reduction amount for each industry within the control area is allocated based on the relative proportion of VOCs emitted by each industry to OFP, that is, industries with high VOCs emission require relatively higher VOCs emission reduction amounts.

[0059] The VOCs Enterprise Rating Management Regulations further classify enterprises in various industries within the control area into three categories: A, B, and C. Category A enterprises are those with excellent environmental protection measures, Category B enterprises are those with average environmental protection measures, and Category C enterprises are those with poor environmental protection measures. Emission reduction plans can be implemented based on the different types of enterprises.

[0060] In the process of implementing differentiated emission reduction for different types of enterprises, priority is given to managing Category C enterprises, followed by Category B enterprises, and finally Category A enterprises, until the required total VOCs emission reduction is achieved; the VOCs emission reduction for Category C enterprises is 100%, the VOCs emission reduction for Category B enterprises is 30% to 60%, and the VOCs emission reduction for Category A enterprises is 0% to 20%.

[0061] S6: Combining the identification of key source areas and the screening of key sources, an emergency emission reduction inventory of pollution processes based on reactive VOCs is formed, and the optimal reactive VOCs emission reduction plan that can achieve ozone standards is provided to the relevant environmental departments of the city.

[0062] S7: During the implementation of the emission reduction plan, conduct on-site inspections of controlled enterprises within the control area to ensure the implementation of industrial emergency emission reduction work during polluted weather and obtain the VOCs emission reduction status of each enterprise; use the regional air quality model WRF / Chem to conduct post-evaluation of different emission reduction scenarios for this pollution process, and analyze the effectiveness of the emergency emission reduction plan based on reactive VOCs. The different emission reduction scenarios include no emergency emission reduction, 100% implementation of the emergency emission reduction plan, and actual implementation of emission reduction measures.

[0063] Example 2

[0064] This embodiment provides a method for formulating a refined emission reduction plan for reactive VOCs that achieves ozone targets, containing specific data, as follows:

[0065] S1: Urban air quality forecast based on the regional air quality model WRF / Chem.

[0066] Due to unfavorable weather conditions, the city's surface wind speed is weak, resulting in poor pollutant dispersion conditions. Therefore, the city's air quality is predicted to be lightly polluted on this day, with an AQI of 105, and ozone as the main pollutant.

[0067] S2: Air pollution is forecast to be at risk of exceeding standards. The FLEXPART model is used to determine the potential source areas of VOCs air masses.

[0068] Tracer particles are released from monitoring stations at a rate of 10,000 per hour, and trajectory simulations are performed after 48 hours. The residence time output by the model, also known as the sensitivity coefficient or imprint function, refers to the residence time of a unit mass of pollutant gas in a horizontal grid. By multiplying the tracer pollutant emission flux in each grid by the residence time, the contribution rate of that grid to the emission source of the receptor pollutant can be estimated.

[0069] During periods of pollution, the sensitivity coefficient of the city center is relatively high, indicating that emissions in this area have a significant impact on ozone concentrations at monitoring stations. Therefore, the city center is a priority control area for this forecast pollution period.

[0070] S3: As Figure 2 As shown, based on the regional air quality model WRF / Chem, and through a VOCs gradient reduction sensitivity experiment within the control area, the minimum total VOCs emission reduction required to achieve ozone standard (<160 μg / m³) is simulated and calculated. The steps are as follows:

[0071] (1) Total VOCs emissions in priority control areas [VOCs] S The figure is 142 tons / day. Simulation experiments were conducted with emission reductions of 20%, 50%, 70%, and 100%, respectively, representing emission reductions of...

[0072] [VOCs] S-20％ = 28 tons / day, [VOCs] S-50％ = 71 tons / day, [VOCs] S-70％ = 99 tons / day and [VOCs] S-100％ =142 tons / day;

[0073] (2) The simulated decrease in average ozone concentration (%) at national monitoring stations in the city was as follows: ΔO 3-20％ =2.3%, △O 3-50％ =6.0%, △O 3-70％ =8.5% and △O 3-100％ =12.2%;

[0074] (3) Therefore, by least squares linear fitting, the response relationship of ozone concentration to VOCs emission reduction in the priority control area is obtained as follows:

[0075] △O3 (%) = 0.09 * [VOCs] s-x％

[0076] (4) The forecast ozone concentration is 165 micrograms per cubic meter. The relative difference between this and the national secondary standard for the maximum daily 8-hour ozone concentration (160 micrograms per cubic meter) is:

[0077]

[0078] Therefore, to achieve the ozone standard, the required ozone concentration reduction is 3.1%.

[0079] (5) The minimum total VOCs emission reduction required to achieve ozone control standards within the designated control area is:

[0080]

[0081] S4: Based on the city's VOCs emission inventory data, calculate the (OFP) of each industry within the control area;

[0082] In the furniture manufacturing industry, OFP (Ozone Demand Processing) contributes the most due to solvent use, accounting for 27%, followed by the rubber and plastics manufacturing industry at 17%. The metal manufacturing, home appliance coating, electronic equipment manufacturing, printing, and machinery manufacturing industries contribute 10%, 9%, 9%, 8%, and 5% respectively. Other industries (including leather goods and footwear, textiles, shipbuilding, other transportation manufacturing, and automobile manufacturing) also contribute. Therefore, VOCs emitted by solvent-using industries are a significant active source contributing to ozone formation and thus have a higher weighting for emission reduction.

[0083] S5: Based on the relative proportion of OFP in each industry and the VOCs enterprise rating within the control area, the required total VOCs emission reduction is allocated to each enterprise in each industry according to weight, forming an emergency emission reduction list based on reactive VOCs.

[0084] Within the priority control area for the furniture manufacturing industry, Company X, classified as a Category C enterprise, has inadequate environmental protection measures and needs to cease production immediately; Company Y, classified as a Category B enterprise, should strengthen control measures and reduce emissions by 30% to 60%; Company Z, classified as a Category A enterprise, can voluntarily take emission reduction measures until the required total emission reduction is achieved. Based on the above steps, the total emission reduction of multiple enterprises across various industries within the priority control area will ultimately equal the minimum total VOCs emission reduction required for the city to achieve ozone emission standards.

[0085] S6: Based on the above emergency emission reduction list, provide the city's environmental department with the optimal reactive VOCs emission reduction plan that can achieve ozone standards.

[0086] A post-evaluation of the emergency emission reduction plan revealed that the citywide VOCs reduction target was 35 tons / day, with a 99% implementation rate. The observed maximum daily ozone concentration (8 hours) was 158 micrograms per cubic meter, consistent with the simulated results demonstrating that implementing the emergency emission reduction measures would achieve ozone pollution standards. Simulations showed that without emergency emission reduction measures, ozone concentration would have increased by 5 micrograms per cubic meter, exceeding the national secondary standard.

[0087] This concludes the detailed description of the embodiment with reference to the accompanying drawings. Based on the above description, those skilled in the art should have a clear understanding of the present invention.

[0088] It should be noted that implementations not shown or described in the accompanying drawings or the main text of the specification are all forms known to those skilled in the art and are not described in detail. Furthermore, the definitions of the elements and methods described above are not limited to the various specific structures, shapes, or methods mentioned in the embodiments.

[0089] It should also be noted that this document provides examples of parameters containing specific values, but these parameters need not be exactly equal to the corresponding values, but can approximate the corresponding values ​​within acceptable error tolerances or design constraints. Furthermore, unless specifically described or steps must occur in sequence, the order of the above steps is not limited to those listed above and can be varied or rearranged according to the desired design. Moreover, the above embodiments can be used in combination with each other or with other embodiments based on design and reliability considerations; that is, technical features from different embodiments can be freely combined to form more embodiments.

[0090] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for formulating a refined emission reduction scheme for reactive VOCs to achieve ozone emission standards, characterized in that, The steps are as follows: S1: Urban air quality forecast based on the regional air quality model WRF / Chem; S2: If the forecast indicates a risk of exceeding air pollution standards, the main source areas of the polluted air mass will be identified as priority control areas by combining the FLEXPART Lagrange particle diffusion model. S3: Based on the regional air quality model WRF / Chem, through VOCs gradient emission reduction sensitivity experiments in the control area, simulate and calculate the minimum total amount of VOCs emission reduction required to achieve ozone standards. S4: Calculate the ozone generation potential (OFP) of each industry within the control area based on the basic data of the city's VOCs emission inventory; S5: Based on the relative proportion of OFP in each industry and the VOCs enterprise rating within the control area, the required total VOCs emission reduction is allocated to each enterprise in each industry according to weight, forming an emergency emission reduction list based on reactive VOCs. S6: Based on the emergency emission reduction list, provide the city's environmental management department with the optimal reactive VOCs emission reduction plan that can achieve ozone standards; Step S3 involves [VOCs] S Gradient emission reduction sensitivity experiment, simulating and calculating the minimum total emission reduction of VOCs within the control area, the method is as follows: (1) Set emission reduction targets of 20%, 50%, 70% and 100% for [VOCs]. S Simulation experiments, specifically [VOCs] S-20% [VOCs] S-50% [VOCs] S-70% and [VOCs] S-100% ; (2) The average ozone concentration decrease (%) of the simulated urban national monitoring stations were respectively ΔO 3-20% , △O 3-50% , △O 3-70% and △O 3-100% ; (3) By linear fitting using the least squares method, the response relationship of ozone concentration to VOCs emission reduction in the priority control area was obtained, and the calculation formula is as follows: Where a is the fitting coefficient; (4) To achieve ozone compliance, the required ozone concentration reduction is the relative difference between the forecast concentration and the national secondary standard for the maximum daily 8-hour ozone concentration, calculated as follows: ； (5) The minimum total VOCs emission reduction required to achieve ozone control standards within the designated control area is calculated as follows: 。 2. The method for formulating a refined emission reduction scheme for reactive VOCs to achieve ozone compliance according to claim 1, characterized in that, Step S1 simulates and calculates the meteorological elements and atmospheric pollutant concentrations of the city and surrounding areas for the next 7 days based on the regional air quality model WRF / Chem, and provides the future meteorological conditions, AQI range and spatiotemporal variation trends of the primary pollutant at the national air quality monitoring station in the city, thereby timely forecasting possible ozone pollution processes in the city.

3. The method for formulating a refined emission reduction scheme for reactive VOCs to achieve ozone compliance according to claim 1, characterized in that, Step S2, combined with the FLEXPART Lagrange particle diffusion model, uses a 48-hour post-simulation to determine the potential source region S of ozone precursor VOCs during the pollution process. The total VOCs emissions within this priority control area are [VOCs]. S .

4. The method for formulating a refined emission reduction scheme for reactive VOCs to achieve ozone compliance according to claim 1, characterized in that, The VOCs emission reduction amount for each industry within the control area in step S4 is based on the relative proportion of VOCs emitted by each industry to the ozone generation potential (OFP). That is, industries with high VOCs emission requirements need relatively higher VOCs emission reduction amounts.

5. The method for formulating a refined emission reduction scheme for reactive VOCs to achieve ozone compliance according to claim 4, characterized in that, The VOCs enterprise rating management regulations further classify enterprises in various industries within the control area into three categories: A, B, and C. Category A enterprises are those with excellent environmental protection measures, Category B enterprises are those with average environmental protection measures, and Category C enterprises are those with poor environmental protection measures. Emission reduction plans can be implemented in a differentiated manner based on the different types of enterprises.

6. The method for formulating a refined emission reduction scheme for reactive VOCs to achieve ozone compliance according to claim 4, characterized in that, In the process of implementing differentiated emission reduction for different types of enterprises, priority is given to Class C enterprises, followed by Class B enterprises, and finally Class A enterprises, until the required total VOCs emission reduction is achieved; the VOCs emission reduction for Class C enterprises is 100%, the VOCs emission reduction for Class B enterprises is 30% to 60%, and the VOCs emission reduction for Class A enterprises is 0% to 20%.

7. The method for formulating a refined emission reduction scheme for reactive VOCs to achieve ozone compliance according to claim 1, characterized in that, Step S6 also includes a solution effectiveness evaluation step, the specific steps of which are as follows: On-site inspections were conducted on enterprises within the controlled area to ensure the implementation of industrial emergency emission reduction measures during polluted weather and to obtain information on VOCs emission reduction by each enterprise. We used the regional air quality model WRF / Chem to conduct a post-evaluation of different emission reduction scenarios for this pollution process and analyzed the effectiveness of emergency emission reduction schemes based on reactive VOCs.

8. The method for formulating a refined emission reduction scheme for reactive VOCs to achieve ozone compliance according to claim 7, characterized in that, The different emission reduction scenarios include no emergency emission reduction, 100% implementation of the emergency emission reduction plan, and actual implementation of emission reduction measures.

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