CN114218751A - Quantitative evaluation method and device for ozone pollution, computer equipment and storage medium - Google Patents
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Abstract
The invention discloses a quantitative evaluation method, a device, computer equipment and a storage medium for ozone pollution, wherein the method comprises the following steps: quantitatively evaluating ozone pollution based on the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area to obtain a quantitative evaluation result; and based on the quantitative evaluation result to generate a corresponding ozone treatment scheme, by adopting the quantitative evaluation method provided by the embodiment of the application, because the optimized preset ozone pollution analysis system automatically integrated by the preset air quality model is introduced, and because the preset optimization mode can be used for improving the data processing performance of the preset air quality model, based on the same test environment and case, compared with the existing simulation process, the ozone pollution quantitative evaluation result can be accurately obtained by simulating through the preset ozone pollution analysis, the simulation process can be effectively accelerated, and the time required by simulation is greatly shortened.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a quantitative evaluation method and device for ozone pollution, computer equipment and a storage medium.
Background
In recent years, domestic scholars have conducted a great deal of research contents related to ozone pollution control, pollution attribution and the like, including various fields such as ozone pollution situation and control approach, ozone and PM2.5 cooperative control, ozone sensitivity analysis and pollution source analysis, ozone pollution joint defense joint control technology, ozone pollution prevention and control technology and management system.
The above-mentioned relevant research provides important theoretical basis and scientific and technological support for understanding ozone pollution cause, development situation and pollution law, clarifying the interaction of ozone and PM2.5, and ascertaining ozone and PM2.5 cooperative control mechanism and other ozone pollution control. For example, based on a brute force subtraction method of source-receptor emission reduction scenario analysis, royal cedar and the like (2010) perform three kinds of emission reduction scenario analysis on ozone in a 10-month bead triangle area in 2004 by a brute force method by using a WRF-CMAQ mode, namely, independent emission reduction of artificial source NOx is 25%, independent emission reduction of artificial source VOCs is 25%, and simultaneous emission reduction of the artificial source VOCs is 25%. The results show that the independent emission reduction of NOx can increase the ozone concentration in the middle of the pearl triangle and in the area around the pearl river mouth, the independent emission reduction of VOCs can decrease the ozone concentration in the whole area, and the ozone concentration in the situation of simultaneous emission reduction of the NOx and the VOCs is in a general decreasing trend in the whole area, but the ozone concentration in the area around the pearl river mouth is increased. The research evaluates the emission reduction effect under the ozone control scene and provides a basis for formulating emission reduction measures. Ozone source analysis source tracking method based on source-receptor contribution analysis, Tangwei et al (2017) passageSimulating the appearance of the Jingjin Ji area from 6 months and 21 days to 27 days in 2015 for one time3A pollution process is carried out, and O is carried out on the pollution process3Sensitivity analysis and pollution source analysis, and the result shows that: the Jingjin Ji area is generally in a VOCs control area due to the fact that the emission of NOx is large, and the synergistic emission reduction of VOCs and NOx according to a scientific proportion is beneficial to improving the air quality in the Jingjin Ji area; o between cities in Jingjin Ji area3Inter-transmit local O3The concentration contribution is great, and the O in the area can be effectively controlled by adopting a pollution joint defense joint control policy3And (4) pollution. Shenjin, etc. (2017) utilize a three-dimensional air quality model to simulate and evaluate air pollution in Meizhou in northeast Guangdong cities, and comprehensively utilize various means (backward trajectory cluster analysis, ozone source analysis technology OSAT and photochemical indexes)
Deeply researching the ozone pollution process and the ozone generation sensitivity and quantifying the source of ozone, and synthesizing all analyses to provide the suggestion of ozone pollution control. Ozone isoconcentration curve method (EKMA curve) based on observed ozone sensitivity analysis method, lie et al (2017) based on corridor city summer near ground O3The volume fraction and the volume fraction data of the precursor VOCs and NOx thereof are combined with meteorological data such as air temperature, wind speed and wind direction, total cloud cover, solar radiation intensity and the like to analyze O3The influence of the daily change rule of the volume fraction and meteorological factors on the volume fraction; o is analyzed by a VOCs/NOx ratio method and an EKMA curve method3The production sensitivity of (1). For the Jingjin Ji atmospheric combined pollution research and corridor market O3Provides certain theoretical support and technical suggestion for the prevention and treatment of the disease.
At present, some researches are carried out, namely an HDDM (high-density digital hierarchy) method for analyzing the sensitivity of ozone and precursors in an ozone source analysis method based on an air quality model is used for carrying out ozone sensitivity analysis by using different three-dimensional air quality models and identifying O3Generating a control area, and quantitatively analyzing the emission of precursor to a target area O of different industries3The influence of the formation of3The formulation of the control strategy provides scientific support. Shenjin et al (2018) selects Meizhou as the northeast region of Guangdong to represent the city,the relation between ozone and precursor is researched by using a high-order decoupling direct method (HDDM). The simulation of air pollution in the Meizhou and surrounding areas is developed, various means are comprehensively applied to deeply research the characteristics of the Meizhou ozone pollution, the sensitivity of ozone generation is determined, the understanding of regional pollution is deepened, and reference is provided for the prevention and control of ozone pollution. Bayanying English et al (2018) calculates the O of the great junior and the surrounding area through a regional air quality model and a CAMx sensitivity analysis tool HDDM3Sensitivity to NOx and VOCs emissions, O was explored3And sources of precursors (NOx and VOCs) thereof, O3And a control area is generated, the control effect of the emission of the precursor is quantitatively evaluated according to the sensitivity analysis result, and the method has a guiding effect on the formulation of an emission reduction strategy. Honghui nan et al (2017) utilize model s-3/CMAQ mode system and high-order decoupling direct technology (HDDM-3D) to remove ozone (O) in 7 months 2014 in Tianjin3) And (5) simulating pollution, analyzing the distribution rule of the precursor control area generated by ozone, and quantifying the influence of discharge in Tianjin city and surrounding areas. Cissusa et al (2020) preliminary probing Texas O during analysis using WRF-CAMx coupled HDDM Module3Contamination characterization by HDDM analysis of Texas City O3Sensitivity of formation expected to be O of Texas City3And provides reference and suggestion for pollution prevention and control.
The existing HDDM approach, while computationally more efficient than the brute force approach, requires much more additional CPU time and memory space than the latter on a standard CAMx basis, especially when many levels of first and second sensitivity are required in nested grid operations of multiple source classes and multiple source regions.
Disclosure of Invention
The embodiment of the application provides a quantitative evaluation method and device for ozone pollution, computer equipment and a storage medium. The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
In a first aspect, the present embodiments provide a method for quantitative assessment of ozone pollution, the method comprising:
optimizing a preset air quality model corresponding to a preset air quality mode according to a preset optimization mode to obtain the optimized preset air quality model, wherein the preset optimization mode is used for improving the data processing performance of the preset air quality model;
preprocessing emission source data of a target area based on a first preset mode to obtain preprocessed emission source data, wherein the preprocessed emission source data comprise a plurality of industry emission source data with different industry identifications;
inputting the data of the industrial emission sources into a preset ozone pollution analysis system at preset time intervals for simulation, and outputting a simulation result, wherein the preset ozone pollution analysis system is automatically integrated by the optimized preset air quality model, the preset ozone pollution analysis system is used for performing ozone sensitivity analysis and generating an ozone treatment scheme, and the simulation result comprises a plurality of sensitivity coefficients;
calculating a plurality of sensitivity coefficients in the simulation result based on a second preset mode to obtain the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area, wherein the ozone precursor in the target area comprises nitrogen oxide and volatile organic compounds;
quantitatively evaluating ozone pollution based on the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area to obtain a quantitative evaluation result; and generating a corresponding ozone remediation plan based on the quantitative evaluation result.
In one embodiment, the optimizing the preset air quality mode according to the preset optimization mode includes:
when the preset air quality mode is a first CAMx mode, performing code optimization processing on a first code which is related to a writing module and is of a first high-order decoupling direct method HDDM module in the first CAMx mode; and/or the presence of a gas in the gas,
when the preset air quality mode is a second CAMx mode, performing code optimization processing on a second code which is related to a writing-out module and is of a second high-order decoupling direct method HDDM module in the second CAMx mode; and/or the presence of a gas in the gas,
and optimizing a preset air quality model corresponding to the preset air quality mode in a preset parallel mode.
In one embodiment, the code optimization processing of the first code of the first high-order decoupling direct method HDDM module in the first CAMx mode, which is related to the writing module, includes:
processing the first code to reduce invalid cycles; and/or the presence of a gas in the gas,
and processing the first code to reduce nested loops.
In one embodiment, the code optimization processing on the second code of the second high-order decoupling direct method HDDM module in the second CAMx mode, which is related to the writing-out module, includes:
processing the second code to reduce invalid loops; and/or the presence of a gas in the gas,
and processing the second code to reduce nested loops.
In one embodiment, the method further comprises:
configuring a plurality of parameters associated with the target area.
In one embodiment, the configuring the plurality of parameters associated with the target area comprises:
configuring the area range and the grid resolution of a simulation area corresponding to the target area;
configuring a plurality of nested layers;
configuring corresponding industry marks for any one industry in a plurality of industries corresponding to the target area;
and configuring corresponding area identification for the target area.
In one embodiment, the method further comprises:
identifying an ozone control zone of the target area based on a plurality of susceptibility coefficients in the simulation results;
identifying precursor sources for a plurality of industries having different industry identities based on a plurality of susceptibility coefficients in the simulation results.
In a second aspect, the present application provides an apparatus for quantitative assessment of ozone pollution, the apparatus comprising:
the optimization module is used for optimizing a preset air quality model corresponding to a preset air quality mode according to a preset optimization mode to obtain the optimized preset air quality model, and the preset optimization mode is used for improving the data processing performance of the preset air quality model;
the system comprises a preprocessing module, a data processing module and a data processing module, wherein the preprocessing module is used for preprocessing emission source data of a target area based on a first preset mode to obtain preprocessed emission source data, and the preprocessed emission source data comprises a plurality of industry emission source data with different industry identifications;
the simulation module is used for inputting the industrial emission source data obtained by the preprocessing module into a preset ozone pollution analysis system at preset time intervals for simulation and outputting a simulation result, the preset ozone pollution analysis system is automatically integrated by the optimized preset air quality model, the preset ozone pollution analysis system is used for carrying out ozone sensitivity analysis and generating an ozone treatment scheme, and the simulation result comprises a plurality of sensitivity coefficients;
the calculation module is used for calculating a plurality of sensitivity coefficients in the simulation result obtained by the simulation of the simulation module based on a second preset mode to obtain change data of ozone concentration before and after the emission reduction of the ozone precursor in the target area, wherein the ozone precursor in the target area comprises nitrogen oxide and volatile organic compounds;
the quantitative evaluation module is used for quantitatively evaluating ozone pollution based on the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area to obtain a quantitative evaluation result;
and the treatment scheme generation module is used for generating a corresponding ozone treatment scheme based on the quantitative evaluation result obtained by the quantitative evaluation module.
In a third aspect, embodiments of the present application provide a computer device, including a memory and a processor, where the memory stores computer-readable instructions, and the computer-readable instructions, when executed by the processor, cause the processor to perform the above-mentioned method steps.
In a fourth aspect, embodiments of the present application provide a storage medium storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the above-mentioned method steps.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the embodiment of the application, a plurality of sensitivity coefficients in a simulation result are calculated based on a second preset mode to obtain the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area, wherein the ozone precursor in the target area comprises nitrogen oxide and volatile organic compounds; quantitatively evaluating ozone pollution based on the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area to obtain a quantitative evaluation result; and generating a corresponding ozone remediation plan based on the quantitative evaluation results. By adopting the quantitative evaluation method provided by the embodiment of the application, due to the introduction of the preset ozone pollution analysis system automatically integrated by the optimized preset air quality model, and due to the fact that the preset optimization mode can be used for improving the data processing performance of the preset air quality model, on the basis of the same test environment and case, compared with the existing simulation process, the ozone pollution quantitative evaluation result can be accurately obtained by simulating through the preset ozone pollution analysis, the simulation process can be effectively accelerated, and the time required by simulation is greatly shortened.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a schematic flow chart of a method for quantitative assessment of ozone pollution according to an embodiment of the present application;
FIG. 2 is a schematic diagram showing the daily variation of the first-order sensitivity coefficient of ozone to the emission of precursors in different areas in a specific application scenario of the embodiment of the present application;
FIG. 3 is a graphical representation of the response of ozone concentration to the combined change in total NOx and VOC emissions from different locations in a particular application scenario of an embodiment of the present application;
fig. 4 is a schematic structural diagram of an apparatus for quantitatively evaluating ozone pollution according to an embodiment of the present application.
Detailed Description
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Alternative embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
Referring to fig. 1, a flow chart of a quantitative evaluation method of ozone pollution is provided for the embodiment of the present application. As shown in fig. 1, the method for quantitatively evaluating ozone pollution of the embodiment of the present application may include the steps of:
s101, optimizing a preset air quality model corresponding to the preset air quality mode according to a preset optimization mode to obtain the optimized preset air quality model, wherein the preset optimization mode is used for improving the data processing speed of the preset air quality model.
In one possible implementation, optimizing the preset air quality mode according to the preset optimization mode includes the following steps:
when the preset air quality mode is the first CAMx mode, performing code optimization processing on a first code which is related to a writing module and is of the first high-order decoupling direct method HDDM module in the first CAMx mode; and/or the presence of a gas in the gas,
when the preset air quality mode is a second CAMx mode, performing code optimization processing on a second code which is related to the writing-out module and is of a second high-order decoupling direct method HDDM module in the second CAMx mode; and/or the presence of a gas in the gas,
and optimizing a preset air quality model corresponding to the preset air quality mode in a preset parallel mode.
In a possible implementation, the code optimization process of the first code of the first high-order decoupling direct method HDDM module in the first CAMx mode, which is associated with the write module, includes the following steps:
processing the first code to reduce invalid cycles; and/or the presence of a gas in the gas,
the first code is processed to reduce nested loops.
In a possible implementation, the code optimization process of the second code of the second high-order decoupling direct method HDDM module in the second CAMx mode, which is associated with the write-out module, includes the following steps:
processing the second code to reduce invalid loops; and/or the presence of a gas in the gas,
the second code is processed to reduce nested loops.
S102, preprocessing the emission source data of the target area based on a first preset mode to obtain preprocessed emission source data, wherein the preprocessed emission source data comprise a plurality of industry emission source data with different industry identifications.
In this embodiment of the present application, the first preset manner includes: and processing the industry-divided emission source list to obtain the local industry-divided emission source data required by the preset ozone pollution analysis system, wherein the industry classification is matched with the marked industry.
In a possible implementation manner, the quantitative evaluation method provided by the embodiment of the present disclosure further includes the following steps:
a plurality of parameters associated with the target area are configured.
In one possible implementation, configuring the plurality of parameters associated with the target area includes the steps of:
configuring the area range and the grid resolution of a simulation area corresponding to the target area;
configuring a plurality of nested layers;
configuring corresponding industry marks for any one industry in a plurality of industries corresponding to the target area;
and configuring corresponding area identification for the target area.
In a possible implementation manner, the quantitative evaluation method provided by the embodiment of the present disclosure further includes the following steps:
identifying an ozone control zone of the target area based on a plurality of sensitivity coefficients in the simulation result;
precursor sources for multiple industries having different industry designations are identified based on multiple susceptibility coefficients in the simulation results.
In the embodiment of the application, the identification method adopted for identifying the ozone control area of the target area based on the plurality of sensitivity coefficients in the simulation result is a conventional identification method, and is not described herein again; thus, the ozone control area can be accurately identified.
The identification method adopted for identifying the precursor sources of the industries with different industry identifications based on the sensitivity coefficients in the simulation result is a conventional method, and is not repeated herein; therefore, the precursor source of any industry with different industry marks can be accurately identified; thereby realizing the accurate control of ozone pollution.
And S103, inputting the data of the industrial emission sources into a preset ozone pollution analysis system at preset time intervals for simulation, and outputting a simulation result, wherein the preset ozone pollution analysis system is automatically integrated by an optimized preset air quality model, the preset ozone pollution analysis system is used for carrying out ozone sensitivity analysis and generating an ozone treatment scheme, and the simulation result comprises a plurality of sensitivity coefficients.
In the embodiment of the present application, the duration of the preset time period in each interval of the preset time periods is not specifically limited, and the preset time period in each interval may be adjusted according to the requirements of different application scenarios, for example, under a certain specific application scenario, the ozone pollution condition of 3 to 7 days in the future is simulated and predicted every day.
When the preset air quality mode is the CAMx mode, an algorithm adopted by the high-order decoupling direct method HDDM module in the CAMx mode is explained as follows, specifically as follows:
calculation of O Using high-order decoupling direct method (HDDM)3Sensitivity between concentration and source of precursor contamination. The high-order decoupling direct method (HDDM) is a common forward sensitivity analysis method in a model, and can also calculate semi-standardized first-order, second-order and interaction sensitivity coefficients, and the formula is as follows:
in the formula:
in order to be a first-order coefficient of sensitivity,
in order to be a second-order coefficient of sensitivity,
is the cross-sensitivity coefficient;
original values representing different source emissions; p is a radical ofjAnd pkEmissions representing different emission sources; e is the same asjAnd ekRepresents the percent reduction (value 0-1).
And S104, calculating a plurality of sensitivity coefficients in the simulation result based on a second preset mode to obtain the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area, wherein the ozone precursor in the target area comprises nitrogen oxide and volatile organic compounds.
By analyzing the result of the pattern sensitivity, the emission of NOx and VOCs and O can be obtained3First, second and reciprocal susceptibility coefficients between concentrations, O can be established3The quantitative relation between the concentration and the emission can be realized, so that the O content of different precursors after emission reduction can be rapidly and quantitatively evaluated3An effect is generated. Quantitative calculation of control measure pairs O of different NOx and VOCs based on sensitivity coefficient and Taylor expansion formula3The influence quantity of the concentration is specifically shown as follows:
in the formula:
represents the amount of change in ozone concentration [ mu ] g/m3；
Represents a percentage change in NOx emissions; delta eVOCRepresents the percent change in VOCs emissions;
a first order coefficient of sensitivity representing NOx; sVOC (1)Representing the first order sensitivity coefficient of the VOCs;
representing NOxA second order sensitivity coefficient; sVOC (2)Representing the second order sensitivity coefficient of the VOCs;
representing the cross-susceptibility coefficients of NOx and VOCs.
S105, quantitatively evaluating ozone pollution based on the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area to obtain a quantitative evaluation result; and generating a corresponding ozone remediation plan based on the quantitative evaluation results.
In the embodiment of the application, the ozone pollution is quantitatively evaluated to obtain a quantitative evaluation result; the following test cases are used for illustration, and are specifically described as follows:
in a specific application scenario, the process of calculating a plurality of sensitivity coefficients in the simulation result based on a second preset mode to obtain the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area is specifically as follows:
in the case, a WRF-CAMx-HDDM mode is used, according to the ozone concentration situation of a GZ city, 10-21 days in 7 months in 2019 are selected as research periods, GD provinces in a target region, emission reduction region marks (GZ city 1, GD provinces in other cities except the GZ city 2 and GD provinces in other 3), emission sources are classified into 6 industrial departments, and the industrial sources, the residential sources, the agricultural sources, the traffic sources, the natural sources and other sources of a power plant are classified. In addition, in order to improve timeliness of HDDM operation, MPI/OMP mixed compiling and internal IO code modification are carried out aiming at CAMx, and the improvement of computing performance is realized.
GZ City O is calculated by CAMx sensitivity analysis tool HDDM3Sensitivity to NOx and VOCs emissions in different regions is created. The evaluation analysis period was selected from 7 months, 11-21 days, 14-15 in 2019. FIG. 2 is a schematic diagram showing the daily variation of the first-order sensitivity coefficient of ozone to the emission of precursors in different areas in a specific application scenario of the embodiment of the present application; the values are all values in the range of 14-15, and the emission is the total emission.
In the research period, the influence of the GZ ozone concentration by the GZ city local discharge is obviously different from the influence of the GZ ozone concentration by the GZ city local discharge ((a) in figure 2), and in general, the first-order VOC sensitivity coefficient is positive, and the first-order NOx sensitivity coefficient is negative, which indicates that the reduction of the GZ local VOC discharge is beneficial to reducing the ozone concentration, but the reduction of the NOx aggravates the ozone pollution. Therefore, the GZ market is necessary to establish a VOC emission reduction scheme when establishing NOx emission reduction measures, otherwise, ozone pollution is aggravated.
In practical applications, based on the schematic diagram shown in fig. 2 (a), the generated ozone remediation plan includes: to reduce the ozone pollution local to GZ, the VOC emission needs to be reduced. Furthermore; emission reduction of NOx can exacerbate ozone pollution on the contrary; therefore, when the GZ market makes NOx emission reduction measures, it is necessary to make VOC emission reduction schemes at the same time, and VOC emission needs to be reduced, otherwise ozone pollution will be aggravated.
As shown in fig. 2 (b), the influence of other cities in GD province on the concentration of ozone in GZ city during the study period is characterized by positive first-order VOC susceptibility coefficients and positive and negative first-order NOx susceptibility coefficients. When the first-order VCO sensitivity value is larger, the emission reduction of VOC in other cities in province is favorable for reducing the ozone concentration; and the first-order NOx sensitivity coefficient is sometimes positive and sometimes negative, which indicates that the emission reduction of NOx in other cities in province is sometimes beneficial to the reduction of GZ ozone concentration and sometimes aggravates GZ ozone pollution.
In practical applications, based on the schematic diagram shown in fig. 2 (b), the generated ozone remediation plan includes: in order to reduce the local ozone pollution of GZ, the emission of VOC needs to be reduced; the first-order NOx sensitivity coefficient is sometimes positive and sometimes negative, which indicates that the emission reduction of NOx in other cities in province is sometimes beneficial to the reduction of GZ ozone concentration and sometimes aggravates GZ ozone pollution, so that the control on the emission reduction of NOx needs to be adjusted according to specific conditions.
As shown in fig. 2 (c), in the research period, ozone in GZ city in 7 middle of 2019 is mainly affected by the emission of foreigners, the first-order NOx or VOC sensitivity coefficients are positive numbers, and the values are relatively large, which indicates that the emission reduction of the foreigners NOx or VOC is beneficial to the large reduction of the ozone concentration in GZ city. The first order NOx susceptibility coefficient is greater than the first order VOC susceptibility coefficient for most of the time during the study period, indicating that reducing NOx emissions reduces ozone concentration more than the same proportion of VOC emissions reduction. The first-order VOC sensitivity coefficient is obviously increased in 2 days (17-18 days), which indicates that the emission reduction of VOC can reduce the ozone concentration in GZ market under the specific emission and climate conditions of the days.
In practical applications, based on the schematic diagram shown in fig. 2 (c), the generated ozone remediation plan includes: if the local ozone pollution of GZ is reduced, the reduction of NOx or VOC is beneficial to the reduction of the ozone concentration of GZ, and the emission of NOx can be more reduced than that of VOC emission reduction with the same proportion.
FIG. 3 is a graph showing the response of ozone concentration to the combined change of total NOx and VOC emissions in different regions in a specific application scenario of an embodiment of the present application.
Under the condition of considering the first-order and second-order sensitivity coefficients, the concentration change of the ozone under different precursor emission reduction ratios is calculated, and the relationship between the ozone and the precursors is shown in the following graph.
As shown in fig. 3 (a), the relationship between GZ ozone and the local precursor emission shows a relatively linear law, and at a GZVOC emission change rate of 0, the ozone concentration decreases with increasing NOx emission and increases with decreasing NOx emission. With no change in NOx emissions, the ozone concentration increases with increasing VOC emissions and decreases with decreasing VOC emissions.
In practical applications, based on the schematic diagram shown in fig. 3 (a), the generated ozone remediation plan includes: to reduce the ozone pollution locally in the GZ, it is desirable to reduce emissions of NOx from other cities in the GD province, or to reduce emissions of VOCs from other cities in the GD province.
As shown in fig. 3 (b), the relationship between the GZ city ozone and the emission of the GD province and other city precursors shows a slightly non-linear law, and when the rate of change of the VOC emission of the GD province and other cities is 0, the increase of the NOx emission increases the GZ ozone concentration, and the decrease of the NOx emission decreases the ozone concentration. With no change in NOx emissions, the ozone concentration in GZ city increases with increasing VOC emissions from other cities in GD province.
In practical applications, based on the schematic diagram shown in fig. 3 (b), the generated ozone remediation plan includes: to reduce the ozone pollution locally in the GZ, it is desirable to reduce emissions of NOx from other cities in the GD province, or to reduce emissions of VOCs from other cities in the GD province.
As shown in fig. 3 (c), the relationship between GZ city ozone and the emission of precursors in the out-of-provincial region shows a slightly non-linear law, and when the rate of change of the out-of-provincial VOC emission is 0, the increase in NOx emission increases the GZ ozone concentration, decreases the NOx emission, and decreases the ozone concentration. Under the condition of no change of NOx emission, the ozone concentration of GZ market is increased along with the increase of the emission of VOC outside the province, and is reduced along with the reduction of the emission of VOC.
In practical applications, based on the schematic diagram shown in fig. 3 (c), the generated ozone remediation plan includes: reducing the emission of provincial VOC is required if the local ozone pollution of GZ is to be reduced; or, reducing the emission of the out-of-date VOCs.
In an actual application scenario, the ozone pollution can be quantitatively evaluated by combining the schematic diagrams shown in fig. 2 and fig. 3, so that a quantitative evaluation result is obtained; generating a corresponding ozone treatment scheme based on the quantitative evaluation result; thus, an ozone treatment scheme capable of effectively treating local ozone pollution can be accurately generated.
In the embodiment of the application, at preset time intervals, data of a plurality of industry emission sources are input into a preset ozone pollution analysis system for simulation, a simulation result is output, the preset ozone pollution analysis system is automatically integrated by an optimized preset air quality model, the preset ozone pollution analysis system is used for carrying out ozone sensitivity analysis and generating an ozone treatment scheme, and the simulation result comprises a plurality of sensitivity coefficients; calculating a plurality of sensitivity coefficients in the simulation result based on a second preset mode to obtain the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area, wherein the ozone precursor in the target area comprises nitrogen oxide and volatile organic compounds; quantitatively evaluating ozone pollution based on the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area to obtain a quantitative evaluation result; and generating a corresponding ozone remediation plan based on the quantitative evaluation results. By adopting the quantitative evaluation method provided by the embodiment of the application, due to the introduction of the preset ozone pollution analysis system automatically integrated by the optimized preset air quality model, and due to the fact that the preset optimization mode can be used for improving the data processing performance of the preset air quality model, on the basis of the same test environment and case, compared with the existing simulation process, the ozone pollution quantitative evaluation result can be accurately obtained by simulating through the preset ozone pollution analysis, the simulation process can be effectively accelerated, and the time required by simulation is greatly shortened.
The following is an embodiment of the quantitative evaluation apparatus for ozone pollution of the present invention, which can be used to perform an embodiment of the quantitative evaluation method for ozone pollution of the present invention. For the details not disclosed in the embodiment of the apparatus for quantitative evaluation of ozone pollution of the present invention, please refer to the embodiment of the method for quantitative evaluation of ozone pollution of the present invention.
Referring to fig. 4, a schematic structural diagram of an apparatus for quantitatively evaluating ozone pollution according to an exemplary embodiment of the present invention is shown. The device for quantitatively evaluating ozone pollution can be realized by software, hardware or a combination of the software and the hardware to be all or part of a terminal. The quantitative evaluation device for ozone pollution comprises an optimization module 10, a pretreatment module 20, a simulation module 30, a calculation module 40, a quantitative evaluation module 50 and a treatment scheme generation module 60.
Specifically, the optimization module 10 is configured to optimize a preset air quality model corresponding to a preset air quality mode according to a preset optimization mode to obtain an optimized preset air quality model, where the preset optimization mode is used to improve data processing performance of the preset air quality model;
the preprocessing module 20 is configured to preprocess the emission source data of the target area based on a first preset manner to obtain preprocessed emission source data, where the preprocessed emission source data includes multiple industry emission source data with different industry identifiers;
the simulation module 30 is used for inputting the data of the plurality of industry emission sources obtained by the preprocessing module 20 into a preset ozone pollution analysis system at intervals of a preset time period for simulation and outputting a simulation result, the preset ozone pollution analysis system is automatically integrated by an optimized preset air quality model, the preset ozone pollution analysis system is used for carrying out ozone sensitivity analysis and generating an ozone treatment scheme, and the simulation result comprises a plurality of sensitivity coefficients;
the calculation module 40 is configured to calculate a plurality of sensitivity coefficients in a simulation result obtained by simulation by the simulation module 30 based on a second preset mode to obtain change data of ozone concentration before and after emission reduction of an ozone precursor in a target area, where the ozone precursor in the target area includes nitrogen oxide and volatile organic compounds;
the quantitative evaluation module 50 is used for quantitatively evaluating ozone pollution based on the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area to obtain a quantitative evaluation result;
and a treatment scheme generation module 60 for generating a corresponding ozone treatment scheme based on the quantitative evaluation result obtained by the quantitative evaluation module 50.
Optionally, the optimization module 10 is configured to:
when the preset air quality mode is the first CAMx mode, performing code optimization processing on a first code which is related to a writing module and is of the first high-order decoupling direct method HDDM module in the first CAMx mode; and/or the presence of a gas in the gas,
when the preset air quality mode is a second CAMx mode, performing code optimization processing on a second code which is related to the writing-out module and is of a second high-order decoupling direct method HDDM module in the second CAMx mode; and/or the presence of a gas in the gas,
and optimizing a preset air quality model corresponding to the preset air quality mode in a preset parallel mode.
Optionally, the optimization module 10 is specifically configured to:
processing the first code to reduce invalid cycles; and/or the presence of a gas in the gas,
the first code is processed to reduce nested loops.
Optionally, the optimization module 10 is specifically configured to:
processing the second code to reduce invalid loops; and/or the presence of a gas in the gas,
the second code is processed to reduce nested loops.
Optionally, the apparatus further comprises:
a configuration module (not shown in fig. 4) for configuring a plurality of parameters associated with the target area.
Optionally, the configuration module is specifically configured to:
configuring the area range and the grid resolution of a simulation area corresponding to the target area;
configuring a plurality of nested layers;
configuring corresponding industry marks for any one industry in a plurality of industries corresponding to the target area;
and configuring corresponding area identification for the target area.
Optionally, the apparatus further comprises:
an identification module (not shown in fig. 4) for identifying the ozone control region of the target area based on a plurality of sensitivity coefficients in the simulation result simulated by the simulation module 30; and identifying precursor sources of a plurality of industries with different industry identifications based on a plurality of sensitivity coefficients in simulation results obtained by simulation of the simulation module 30.
It should be noted that, when the quantitative evaluation device for ozone pollution provided by the above embodiment executes the quantitative evaluation method for ozone pollution, the above-mentioned division of the function modules is only used for illustration, and in practical applications, the above-mentioned function distribution can be completed by different function modules according to needs, that is, the internal structure of the device is divided into different function modules to complete all or part of the above-mentioned functions. In addition, the device for quantitatively evaluating ozone pollution and the method for quantitatively evaluating ozone pollution provided by the above embodiments belong to the same concept, and the implementation process is detailed in the method for quantitatively evaluating ozone pollution, which is not described herein again.
In the embodiment of the application, the quantitative evaluation module is used for quantitatively evaluating ozone pollution based on the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area to obtain a quantitative evaluation result; and the treatment scheme generation module is used for generating a corresponding ozone treatment scheme based on the quantitative evaluation result obtained by the quantitative evaluation module. By adopting the quantitative evaluation device provided by the embodiment of the application, due to the introduction of the preset ozone pollution analysis system automatically integrated by the optimized preset air quality model, and due to the fact that the preset optimization mode can be used for improving the data processing performance of the preset air quality model, on the basis of the same test environment and case, compared with the existing simulation process, the ozone pollution quantitative evaluation result can be accurately obtained by simulating through the preset ozone pollution analysis, the simulation process can be effectively accelerated, and the time required by simulation is greatly shortened.
In one embodiment, a computer device is proposed, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: optimizing a preset air quality model corresponding to the preset air quality mode according to a preset optimization mode to obtain the optimized preset air quality model, wherein the preset optimization mode is used for improving the data processing performance of the preset air quality model; preprocessing emission source data of a target area based on a first preset mode to obtain preprocessed emission source data, wherein the preprocessed emission source data comprise a plurality of industry emission source data with different industry identifications; inputting data of a plurality of industry emission sources into a preset ozone pollution analysis system at preset time intervals for simulation, and outputting a simulation result, wherein the preset ozone pollution analysis system is automatically integrated by an optimized preset air quality model, the preset ozone pollution analysis system is used for performing ozone sensitivity analysis and generating an ozone treatment scheme, and the simulation result comprises a plurality of sensitivity coefficients; calculating a plurality of sensitivity coefficients in the simulation result based on a second preset mode to obtain the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area, wherein the ozone precursor in the target area comprises nitrogen oxide and volatile organic compounds; quantitatively evaluating ozone pollution based on the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area to obtain a quantitative evaluation result; and generating a corresponding ozone remediation plan based on the quantitative evaluation results.
In one embodiment, a storage medium is provided that stores computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of: optimizing a preset air quality model corresponding to the preset air quality mode according to a preset optimization mode to obtain the optimized preset air quality model, wherein the preset optimization mode is used for improving the data processing performance of the preset air quality model; preprocessing emission source data of a target area based on a first preset mode to obtain preprocessed emission source data, wherein the preprocessed emission source data comprise a plurality of industry emission source data with different industry identifications; inputting data of a plurality of industry emission sources into a preset ozone pollution analysis system at preset time intervals for simulation, and outputting a simulation result, wherein the preset ozone pollution analysis system is automatically integrated by an optimized preset air quality model, the preset ozone pollution analysis system is used for performing ozone sensitivity analysis and generating an ozone treatment scheme, and the simulation result comprises a plurality of sensitivity coefficients; calculating a plurality of sensitivity coefficients in the simulation result based on a second preset mode to obtain the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area, wherein the ozone precursor in the target area comprises nitrogen oxide and volatile organic compounds; quantitatively evaluating ozone pollution based on the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area to obtain a quantitative evaluation result; and generating a corresponding ozone remediation plan based on the quantitative evaluation results.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a Random Access Memory (RAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for quantitative assessment of ozone pollution, the method comprising:
optimizing a preset air quality model corresponding to a preset air quality mode according to a preset optimization mode to obtain the optimized preset air quality model, wherein the preset optimization mode is used for improving the data processing performance of the preset air quality model;
preprocessing emission source data of a target area based on a first preset mode to obtain preprocessed emission source data, wherein the preprocessed emission source data comprise a plurality of industry emission source data with different industry identifications;
inputting the data of the industrial emission sources into a preset ozone pollution analysis system at preset time intervals for simulation, and outputting a simulation result, wherein the preset ozone pollution analysis system is automatically integrated by the optimized preset air quality model, the preset ozone pollution analysis system is used for performing ozone sensitivity analysis and generating an ozone treatment scheme, and the simulation result comprises a plurality of sensitivity coefficients;
calculating a plurality of sensitivity coefficients in the simulation result based on a second preset mode to obtain the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area, wherein the ozone precursor in the target area comprises nitrogen oxide and volatile organic compounds;
quantitatively evaluating ozone pollution based on the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area to obtain a quantitative evaluation result; and generating a corresponding ozone remediation plan based on the quantitative evaluation result.
2. The method of claim 1, wherein optimizing the preset air quality mode according to a preset optimization mode comprises:
when the preset air quality mode is a first CAMx mode, performing code optimization processing on a first code which is related to a writing module and is of a first high-order decoupling direct method HDDM module in the first CAMx mode; and/or the presence of a gas in the gas,
when the preset air quality mode is a second CAMx mode, performing code optimization processing on a second code which is related to a writing-out module and is of a second high-order decoupling direct method HDDM module in the second CAMx mode; and/or the presence of a gas in the gas,
and optimizing a preset air quality model corresponding to the preset air quality mode in a preset parallel mode.
3. The method according to claim 2, wherein said code optimizing a first code of a first high order decoupling direct method HDDM module in the first CAMx mode and associated with a write module comprises:
processing the first code to reduce invalid cycles; and/or the presence of a gas in the gas,
and processing the first code to reduce nested loops.
4. The method according to claim 2, wherein said code optimizing a second code of a second high order decoupling direct method HDDM module in the second CAMx mode and associated with a write-out module comprises:
processing the second code to reduce invalid loops; and/or the presence of a gas in the gas,
and processing the second code to reduce nested loops.
5. The method of claim 1, further comprising:
configuring a plurality of parameters associated with the target area.
6. The method of claim 5, wherein configuring the plurality of parameters associated with the target area comprises:
configuring the area range and the grid resolution of a simulation area corresponding to the target area;
configuring a plurality of nested layers;
configuring corresponding industry marks for any one industry in a plurality of industries corresponding to the target area;
and configuring corresponding area identification for the target area.
7. The method of claim 1, further comprising:
identifying an ozone control zone of the target area based on a plurality of susceptibility coefficients in the simulation results;
identifying precursor sources for a plurality of industries having different industry identities based on a plurality of susceptibility coefficients in the simulation results.
8. An apparatus for quantitative assessment of ozone pollution, characterized in that said apparatus comprises:
the optimization module is used for optimizing a preset air quality model corresponding to a preset air quality mode according to a preset optimization mode to obtain the optimized preset air quality model, and the preset optimization mode is used for improving the data processing performance of the preset air quality model;
the system comprises a preprocessing module, a data processing module and a data processing module, wherein the preprocessing module is used for preprocessing emission source data of a target area based on a first preset mode to obtain preprocessed emission source data, and the preprocessed emission source data comprises a plurality of industry emission source data with different industry identifications;
the simulation module is used for inputting the industrial emission source data obtained by the preprocessing module into a preset ozone pollution analysis system at preset time intervals for simulation and outputting a simulation result, the preset ozone pollution analysis system is automatically integrated by the optimized preset air quality model, the preset ozone pollution analysis system is used for carrying out ozone sensitivity analysis and generating an ozone treatment scheme, and the simulation result comprises a plurality of sensitivity coefficients;
the calculation module is used for calculating a plurality of sensitivity coefficients in the simulation result obtained by the simulation of the simulation module based on a second preset mode to obtain change data of ozone concentration before and after the emission reduction of the ozone precursor in the target area, wherein the ozone precursor in the target area comprises nitrogen oxide and volatile organic compounds;
the quantitative evaluation module is used for quantitatively evaluating ozone pollution based on the change data of the ozone concentration before and after the emission reduction of the ozone precursor in the target area to obtain a quantitative evaluation result;
and the treatment scheme generation module is used for generating a corresponding ozone treatment scheme based on the quantitative evaluation result obtained by the quantitative evaluation module.
9. A computer device comprising a memory and a processor, the memory having stored therein computer readable instructions which, when executed by the processor, cause the processor to perform the steps of the quantitative assessment method of any one of claims 1 to 7.
10. A storage medium having stored thereon computer-readable instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of the quantitative assessment method of any one of claims 1 to 7.
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