CN115859753A - Method for tracing pollution degree of suspicious polluted enterprise on monitoring point - Google Patents

Method for tracing pollution degree of suspicious polluted enterprise on monitoring point Download PDF

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CN115859753A
CN115859753A CN202211558484.2A CN202211558484A CN115859753A CN 115859753 A CN115859753 A CN 115859753A CN 202211558484 A CN202211558484 A CN 202211558484A CN 115859753 A CN115859753 A CN 115859753A
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enterprise
monitoring point
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王涌
田爽
张攀星
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Zhejiang University of Technology ZJUT
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Abstract

A method for tracing the pollution degree of a suspicious polluted enterprise to a monitoring point comprises the following steps: step 1, giving VOCs characteristic pollutant monitoring concentration of a region boundary monitoring point, and defining an evaluation region; step 2, executing a suspicious polluted enterprise selection scheme according to meteorological conditions, and determining suspicious polluted enterprises in the assessment area; step 3, providing the assumed conditions of the Gaussian plume diffusion model; step 4, establishing a Gaussian smoke plume diffusion model by taking the emission source of each suspected pollution enterprise as the origin of each suspected pollution enterprise; step 5, calculating the pollutant concentration of each suspected pollutant enterprise emission source generated to the region boundary monitoring point in the step 1 according to the Gaussian smoke plume diffusion model established in the step 4; and 6, obtaining a list of key suspicious polluted enterprises and the pollution degree of each suspicious polluted enterprise to the monitoring point by a comprehensive evaluation method according to the pollutant concentration output by the model in the step 5 and the monitoring concentration in the step 1.

Description

Method for tracing pollution degree of suspicious polluted enterprise on monitoring point
Technical Field
The invention relates to the technical field of pollutant emission monitoring, in particular to a method for tracing the pollution degree of a suspected polluted enterprise to a monitoring point.
Background
At the present time, it is known that, the environmental pollution treatment and the problem of tracing the source of pollutants are always highly concerned by people. The environmental pollution control is deeply promoted, so that the chemical industry park is used as areas for mainly discharging VOCs and other pollutants, and the problems of pollution discharge monitoring, pollution degree measurement and the like of the areas are put into an important way. Most VOCs have unpleasant special odor and have toxic, irritant, teratogenic and carcinogenic effects, and particularly benzene, toluene, formaldehyde and the like cause great harm to human health. In addition, VOCs are precursors of PM2.5 and ozone, and by controlling VOCs, the synergistic control of PM2.5 and ozone can be enhanced, so that the method has important significance in realizing pollution and carbon reduction synergistic effect and promoting the continuous improvement of ecological environment quality.
The method has important practical significance for providing research for effectively utilizing the data of the monitoring value of the pollution concentration of the monitoring point and finding out the tracing problem of key suspicious polluted enterprises in the monitoring point area.
The Gaussian smoke plume diffusion model is taken as an early classical atmospheric diffusion model for researching and simulating the emission process and rule of point sources, line sources and source pollutants, is approved by most scholars and is widely applied to diffusion simulation of the point sources of the pollutants and calculation of the concentration of any point of the airborne pollutants released into the atmosphere in the downwind direction. Most scholars successfully obtain the diffusion condition of pollutants in the research area of the scholars by using a Gaussian smoke plume diffusion model and obtain a more correct pollutant diffusion rule. However, few scholars apply the diffusion model to the area of the chemical enterprise, study the point source diffusion condition of the enterprise in the area and calculate the influence of the suspected polluted enterprise on the pollution degree of the boundary monitoring point. In addition, research on the incorporation of a traceability idea into a gaussian smoke plume diffusion model is not found, and aiming at the problem that the current pollution control cannot be traced, a traceability research method for pollution degree produced by a monitoring point by a suspicious polluted enterprise is urgently needed to provide a reliable theoretical basis for the government to trace the suspicious polluted enterprise and provide technical support for an environmental management department to pertinently control the polluted enterprise.
Disclosure of Invention
Aiming at the practical problems, the invention provides a method for tracing the pollution degree of a suspected polluted enterprise to a monitoring point, which carefully analyzes the technical field of the problems in order to solve the defects in the prior art. The method mainly aims at the problem that the concentration of the pollutants on the monitoring points of the boundary of the known area is unknown and how to find the source tracing of the polluted enterprise is not known, and provides theoretical basis and technical support for environmental management departments and governments in finding the problem of the root cause of the polluted enterprise in the area.
The technical scheme of the invention is as follows:
a method for tracing the pollution degree of a suspicious polluted enterprise to a monitoring point comprises the following steps:
step 1, giving VOCs characteristic pollutant monitoring concentration of a zone boundary monitoring point, and defining an evaluation zone;
step 2, executing a suspicious polluted enterprise selection scheme according to meteorological conditions, and determining suspicious polluted enterprises in the assessment area;
step 3, providing the assumed conditions of the Gaussian plume diffusion model;
step 4, establishing a Gaussian smoke plume diffusion model by taking the emission source of each suspected pollution enterprise as the origin of each suspected pollution enterprise;
step 5, calculating the pollutant concentration of each suspected pollutant enterprise emission source generated to the region boundary monitoring point in the step 1 according to the Gaussian smoke plume diffusion model established in the step 4;
and 6, obtaining a list of key suspicious polluted enterprises and the pollution degree of each suspicious polluted enterprise on the monitoring point by a comprehensive evaluation method according to the pollutant concentration output by the model in the step 5 and the monitoring concentration in the step 1.
In step 1 of the invention, the monitoring concentration of the VOCs characteristic pollutants of the area boundary monitoring point is obtained by a VOCs detection instrument installed at the monitoring point. The method for defining the evaluation area comprises the following steps: and evaluating the area covered by the area with the radius of 8.12km by taking the monitoring point as the center.
Further, 8.12km is a radius value which is obtained by theoretical research and is used for effectively measuring the pollutant diffusion concentration.
More specifically, the VOCs characteristic contaminants include, but are not limited to: styrene, butadiene, cyclohexane, toluene, benzene, acrylonitrile, ethylene, ethylbenzene, propylene, methyl mercaptan, hydrogen sulfide, ethyl mercaptan, methyl sulfide, carbon disulfide, chlorobenzene, trichloroethylene, butene, pentane, chloroform, dichloroethane, m-xylene, o-xylene, p-xylene, ethyl sulfide, dimethyl disulfide.
In step 2, the meteorological conditions include wind speed and wind direction.
Further, the enterprise selection scheme of the suspected pollution is that firstly, enterprises which cannot generate the VOCs characteristic pollutants monitored by the boundary monitoring point at this time are eliminated, specifically, enterprises which cannot generate toluene pollutants in the evaluation area are eliminated if the VOCs characteristic pollutants monitored by the boundary monitoring point at this time are toluene; secondly, according to the wind direction of the monitoring point, the downwind enterprises of the monitoring point are removed, specifically, pollutants produced by the downwind enterprises of the monitoring point can be diffused to the downwind direction of the enterprises, and the monitoring point cannot be polluted, so that the pollutants are removed; and finally, determining other enterprises in the evaluation area as suspicious polluted enterprises.
In the step 3, the assumed condition is that the size and the direction of the wind speed are kept unchanged in the whole process of pollutant diffusion and do not change along with the change of places and time; the distribution of the concentration of contaminants on the Y, Z axis is gaussian (normal distribution); the source intensity of the pollution source is continuous and uniform, and the concentration and the temperature inside the cloud cluster are uniformly distributed at the initial moment; in the diffusion process, the change of the internal temperature of the cloud cluster is not considered, and heat transfer, heat convection and heat radiation are ignored; the ground plays a role in total reflection of the leaked gas, no absorption or adsorption occurs, and the leaked gas does not settle or decompose and no chemical reaction occurs.
In step 4, the gaussian smoke plume diffusion model coordinate system comprises X, Y, Z axes, the origin of the coordinate axis is the suspected pollutant enterprise emission source point, and if the origin of the coordinate axis is the overhead source, the origin of the coordinate axis is the projection of the suspected pollutant enterprise emission source point on the ground. The positive direction of the X axis is the wind speed direction, the Y axis is perpendicular to the X axis on the horizontal plane, the positive direction is the left side of the X axis, the Z axis is perpendicular to the horizontal plane XOY, and the upward direction is the positive direction. The projection of the smoke central line or the smoke central line on the XOY plane in the coordinate system is coincident with the X axis.
Further, after the gaussian plume diffusion model coordinate system under the assumed condition is established, the gaussian plume diffusion model formula of the overhead continuous point source diffusion is as follows:
Figure SMS_1
H=h+Δh
wherein C is a pollution concentration value caused by the suspicious polluted enterprise to the boundary monitoring point, and the unit is mg/m 3 (ii) a Q is the source intensity, namely the flux of VOCs characteristic pollutants discharged by the discharge source in unit time, and the unit is mg/s; mu is the average wind speed of the leakage height of the overhead emission source, and the unit is m/s; sigma y 、σ z The standard deviation in the horizontal direction and the vertical direction respectively, namely the diffusion coefficient in the Y, Z direction; x is the distance from a space point on the wind direction axis to the emission source, and the unit is m; y is the distance from the spatial point to the emission source in the direction perpendicular to the wind direction axis, and the unit is m; z is the height of a point in space in m; h is the effective height of leakage, and the unit is m; h is the height of an overhead source, generally the height of a chimney, and the unit is m; Δ h is the cloud rise height in m.
In step 5, the emission source intensity of the enterprise is calculated through a material balance method, and mu and sigma in a Gaussian plume diffusion model formula are determined according to meteorological conditions in the region y 、σ z And H.
Further, the coordinates of the monitoring points and other parameter values are calculated by using a Gaussian smoke plume diffusion model formula, so that the concentration of pollutants generated by the suspected polluted enterprise on the boundary monitoring points is obtained.
More specifically, the material balance method refers to a method for calculating and determining the production amount or emission amount of pollutants per unit time by using the balance relation between the material amount or element amount at the input end and the output end according to the mass conservation law. The meteorological conditions in the area are an atmospheric turbulence structure, ground roughness, ground wind speed, wind direction and total cloud cover.
In step 6, the comprehensive evaluation method comprises the following steps: and (5) making a ratio of the concentration of the pollutants produced by the boundary monitoring points and the actual monitoring concentration of the monitoring points by each suspected polluted enterprise output by the model in the step (5), and taking the ratio obtained as the pollution degree of the suspected polluted enterprise to the boundary monitoring points.
Further, according to the output result of the model, determining which enterprises generate pollutants with concentration higher than the actual monitoring concentration value of the monitoring point on the boundary monitoring point, and listing the enterprises with the concentration higher than the monitoring value as key suspicious enterprises; and if the concentration values of the monitoring points calculated by the enterprises by using the model do not exceed the actual monitoring values of the monitoring points, sorting the pollution degrees of the monitoring points in a descending order according to the enterprises, and selecting the former five enterprises as key suspicious polluted enterprises in the assessment area.
The invention discloses a method for tracing the pollution degree of a suspected polluted enterprise to a monitoring point, which aims at solving the practical problems that the chemical enterprise park discharges a large amount of VOCs and other pollutants, a boundary monitoring point can only monitor the overproof pollutant concentration value of the point, the key suspected polluted enterprise in the park cannot be found, and the pollution degree of the suspected polluted enterprise to the monitoring point cannot be determined. By combining the Gaussian smoke plume diffusion model with the retrospective thought, the pollution degree influence of each suspicious polluted enterprise on the monitoring point is obtained according to the Gaussian smoke plume diffusion model established in the method steps, and finally, a comprehensive evaluation method is adopted to determine the list of key suspicious polluted enterprises in the area. The method effectively solves the problem that the concentration of the pollutants at the monitoring points in the known area is used for tracing the source of the polluted enterprise, provides a reliable theoretical basis for the government and the environmental management department to determine the suspicious polluted enterprise in the area, and has higher tracing precision in practical application.
The invention has the following beneficial effects:
1. the invention creatively provides that a Gaussian smoke plume diffusion model is applied to a region boundary monitoring point, the pollutant concentration of a suspicious polluted enterprise in an evaluation region on the monitoring point is calculated, a tracing idea is integrated into the model, the key suspicious polluted enterprise in the evaluation region can be obtained on the premise of only knowing the pollutant concentration of the region boundary monitoring point and meteorological conditions, and the problems that the pollutant concentration value monitored by the region boundary monitoring point in real life is unavailable and the polluted enterprise cannot be traced are solved.
2. The Gaussian smoke plume diffusion model used by the method disclosed by the invention further creatively provides a suspicious polluted enterprise selection scheme and a comprehensive evaluation method in practical application. This selection scheme and assessment method contributes significantly to the method of the present invention.
3. The method provides theoretical support for environmental management departments and governments on the aspect that the source tracing problem of pollution-related enterprises cannot be found out by the concentration of pollutants at monitoring points of the boundary of the treatment area, and the method is high in source tracing precision in practical application.
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FIG. 1 is a flow chart of an embodiment of the present invention;
FIG. 2 is a reference diagram of a coordinate system of a Gaussian plume diffusion model established by the present invention.
Detailed Description
A more detailed description of an embodiment of the present invention is provided below, a flow chart of which is shown in fig. 1. The embodiments described below by referring to the drawings are only for explaining the present invention and should not be construed as limiting the present invention.
As shown in fig. 1, the method for tracing the pollution degree of a suspicious polluted enterprise to a monitoring point of the invention comprises the following steps:
step 1, giving the VOCs characteristic pollutant monitoring concentration of the region boundary monitoring point, and defining an evaluation region.
And the monitoring concentration of the VOCs characteristic pollutants of the area boundary monitoring point is obtained by a VOCs detection instrument arranged at the monitoring point. The method for defining the evaluation area comprises the following steps: and evaluating the area covered by the area with the radius of 8.12km by taking the monitoring point as the center.
Further, 8.12km is a radius value which is obtained by theoretical research and is used for effectively measuring the diffusion concentration of the pollutants.
More specifically, the VOCs characteristic contaminants include, but are not limited to: styrene, butadiene, cyclohexane, toluene, benzene, acrylonitrile, ethylene, ethylbenzene, propylene, methyl mercaptan, hydrogen sulfide, ethyl mercaptan, methyl sulfide, carbon disulfide, chlorobenzene, trichloroethylene, butene, pentane, chloroform, dichloroethane, m-xylene, o-xylene, p-xylene, ethyl sulfide, dimethyl disulfide.
And 2, executing a suspicious polluted enterprise selection scheme according to meteorological conditions, and determining suspicious polluted enterprises in the assessment area.
Wherein the meteorological conditions include wind direction and wind speed on the day of the study for the selected area under study.
Further, the enterprise with suspected pollution is selected by the scheme that firstly, enterprises which cannot generate VOCs characteristic pollutants monitored by the boundary monitoring point at this time are eliminated, specifically, enterprises which cannot generate toluene pollutants in the evaluation area are eliminated if the VOCs characteristic pollutants monitored by the boundary monitoring point at this time are toluene; secondly, according to the wind direction of the monitoring point, the downwind enterprises of the monitoring point are removed, specifically, pollutants produced by the downwind enterprises of the monitoring point can be diffused to the downwind direction of the enterprises, and the monitoring point cannot be polluted, so that the pollutants are removed; and finally, determining other enterprises in the evaluation area as suspicious polluted enterprises.
And 3, providing an assumed condition of the Gaussian plume diffusion model.
Wherein, the assumed condition is that the wind speed and the direction are kept unchanged in the whole process of pollutant diffusion and do not change along with the change of places and time; the distribution of the concentration of contaminants on the Y, Z axis is gaussian (normal distribution); the source intensity of the pollution source is continuous and uniform, and the concentration and the temperature inside the cloud cluster are uniformly distributed at the initial moment; in the diffusion process, the change of the internal temperature of the cloud cluster is not considered, and heat transfer, heat convection and heat radiation are ignored; the ground plays a role in total reflection of the leaked gas, no absorption or adsorption occurs, and the leaked gas does not settle or decompose and no chemical reaction occurs.
And 4, establishing a Gaussian smoke plume diffusion model by taking the emission source of each suspected polluted enterprise as the origin of each suspected polluted enterprise.
The coordinate system reference diagram of the established gaussian smoke plume diffusion model is shown in fig. 2. The Gaussian smoke plume diffusion model coordinate system comprises X, Y, Z axes, the origin of the coordinate axis is a specific emission source point of a suspected pollution enterprise, and if the origin of the coordinate axis is an overhead source, the origin of the coordinate axis is the projection of the emission source point of the suspected pollution enterprise on the ground. The positive direction of the X axis is the wind speed direction, the Y axis is perpendicular to the X axis on the horizontal plane, the positive direction is the left side of the X axis, the Z axis is perpendicular to the horizontal plane XOY, and the upward direction is the positive direction. The projection of the smoke central line or the smoke central line on the XOY plane in the coordinate system is coincident with the X axis.
Further, after the gaussian plume diffusion model coordinate system shown in fig. 2 under the assumed conditions is established, the gaussian plume diffusion model formula of the overhead continuous point source diffusion is as follows:
Figure SMS_2
H=h+Δh
wherein C is a pollution concentration value of a suspicious polluted enterprise on a boundary monitoring point, and the unit is mg/m 3 When a monitoring instrument arranged at a monitoring point is a benzene series online monitor, namely the pollutant concentration value of a benzene factor discharged by a suspected polluted enterprise in a research area is obtained, and the concentration value C of the current monitoring point is obtained from online detector equipment; q is strong source, namely flux of VOCs characteristic pollutants discharged by a discharge source in unit time, the unit is mg/s, and when the concentration of benzene factor pollutants generated by a monitoring point is researched, Q specifically represents the flux value of the benzene factor pollutants discharged by the enterprise in unit time; mu is the average wind speed of the leakage height of the overhead emission source, and the unit is m/s; sigma y 、σ z The standard deviation in the horizontal direction and the vertical direction respectively, namely the diffusion coefficient in the Y, Z direction; x is the distance from a spatial point on the wind direction axis to the emission source, and the unit is m; y is the distance from the spatial point to the emission source in the direction perpendicular to the wind direction axis, and the unit is m; z is the height of a point in space, in m; h is the effective height of leakage, and the unit is m; h is the height of an overhead source, generally the height of a chimney, and the unit is m; Δ h is the cloud rise height in m.
And 5, calculating the pollutant concentration of each suspected pollutant enterprise emission source generated to the region boundary monitoring points in the step 1 according to the Gaussian smoke plume diffusion model established in the step 2.
Wherein, the emission source intensity of an enterprise is calculated by a material balance method, and the Gaussian smoke plume diffusion model formula is determined according to the meteorological conditions in the regionμ、σ y 、σ z And H.
Further, the coordinates of the monitoring points and other parameter values are calculated by using a Gaussian smoke plume diffusion model formula, so that the concentration of the pollutants generated by the suspected polluted enterprises to the boundary monitoring points is obtained.
More specifically, the material balance method refers to a method for calculating and determining the production amount or emission amount of pollutants per unit time by using the balance relation between the material amount or element amount at the input end and the output end according to the mass conservation law. The meteorological conditions in the area are an atmospheric turbulence structure, ground roughness, ground wind speed, wind direction and total cloud cover.
Wherein σ y 、σ z Values are classified according to a Passell classification method, chinese name is Pasquill-Terna atmospheric stability, and the atmospheric stability is divided into A-F6 levels by using conventional meteorological observation data. The A, B, C type represents unstable meteorological conditions, the E, F type represents stable meteorological conditions, and the D type represents neutral meteorological conditions, namely the meteorological conditions are stable and unstable. After the atmospheric stability grade is determined, sigma is obtained by table lookup y 、σ z Specific values of (a).
And 6, obtaining a list of key suspicious polluted enterprises and the pollution degree of each suspicious polluted enterprise on the monitoring point by a comprehensive evaluation method according to the pollutant concentration output by the model in the step 5 and the monitoring concentration in the step 1.
Wherein, the comprehensive evaluation method comprises the following steps: and (5) making a ratio of the concentration of the pollutants produced by the boundary monitoring points and the actual monitoring concentration of the monitoring points by each suspected polluted enterprise output by the model in the step (5), and taking the ratio obtained as the pollution degree of the suspected polluted enterprise to the boundary monitoring points.
Further, according to the output result of the model, determining which enterprises generate pollutants with concentration higher than the actual monitoring concentration value of the monitoring point on the boundary monitoring point, and listing the enterprises with the concentration higher than the monitoring value as key suspicious enterprises; and if the concentration values of the monitoring points calculated by the enterprises by using the model do not exceed the actual monitoring values of the monitoring points, sorting the pollution degrees of the monitoring points in a descending order according to the enterprises, and selecting the former five enterprises as key suspicious polluted enterprises in the assessment area.
The embodiments described in this specification are merely illustrative of implementations of the inventive concepts, which are intended for purposes of illustration only. The scope of the present invention should not be construed as being limited to the particular forms set forth in the examples, but rather as being defined by the claims and the equivalents thereof which can occur to those skilled in the art upon consideration of the present inventive concept.

Claims (9)

1. A method for tracing the pollution degree of a suspicious polluted enterprise on a monitoring point is characterized by comprising the following steps:
step 1, giving VOCs characteristic pollutant monitoring concentration of a region boundary monitoring point, and defining an evaluation region;
step 2, according to meteorological conditions, executing a suspicious polluted enterprise selection scheme, and determining suspicious polluted enterprises in the assessment area;
step 3, providing the assumed conditions of the Gaussian plume diffusion model;
step 4, establishing a Gaussian smoke plume diffusion model by taking the emission source of each suspected pollution enterprise as the origin of each suspected pollution enterprise;
step 5, calculating the pollutant concentration of each suspected pollutant enterprise emission source generated to the region boundary monitoring point in the step 1 according to the Gaussian smoke plume diffusion model established in the step 4;
and 6, obtaining a list of key suspicious polluted enterprises and the pollution degree of each suspicious polluted enterprise to the monitoring point by a comprehensive evaluation method according to the pollutant concentration output by the model in the step 5 and the monitoring concentration in the step 1.
2. The method for tracing the pollution degree of a suspicious polluted enterprise to a monitoring point according to claim 1, wherein in the step 1, the monitoring concentration of the VOCs characteristic pollutants of the area boundary monitoring point is obtained by a VOCs detector installed at the monitoring point; the method for defining the evaluation area comprises the following steps: taking a monitoring point as a center, and evaluating an area covered by the area with the radius of 8.12 km;
the VOCs characteristic contaminants include, but are not limited to: styrene, butadiene, cyclohexane, toluene, benzene, acrylonitrile, ethylene, ethylbenzene, propylene, methyl mercaptan, hydrogen sulfide, ethyl mercaptan, methyl sulfide, carbon disulfide, chlorobenzene, trichloroethylene, butene, pentane, chloroform, dichloroethane, m-xylene, o-xylene, p-xylene, ethyl sulfide, dimethyl disulfide.
3. The method for tracing the pollution degree of a suspected polluted enterprise to a monitoring point according to claim 1, wherein in the step 2, the meteorological conditions comprise wind speed and wind direction; firstly, removing enterprises which cannot generate the VOCs characteristic pollutants monitored by the boundary monitoring point, specifically, removing enterprises which cannot generate toluene pollutants in the evaluation area if the VOCs characteristic pollutants monitored by the boundary monitoring point are toluene; secondly, according to the wind direction of the monitoring point, the downwind enterprises of the monitoring point are removed, specifically, pollutants produced by the downwind enterprises of the monitoring point can be diffused to the downwind direction of the enterprises, and the monitoring point cannot be polluted; and finally, determining other enterprises in the evaluation area as suspicious polluted enterprises.
4. The method for tracing the pollution degree of a suspected polluted enterprise to a monitoring point according to claim 1, wherein in the step 3, the assumed condition is that the wind speed and the direction are kept unchanged and do not change with the change of the place and the time in the whole process of pollutant diffusion; the distribution of the concentration of contaminants on the Y, Z axis is gaussian (normal distribution); the source intensity of the pollution source is continuous and uniform, and the concentration and the temperature inside the cloud cluster are uniformly distributed at the initial moment; in the diffusion process, the change of the internal temperature of the cloud cluster is not considered, and heat transfer, heat convection and heat radiation are ignored; the ground plays a role in total reflection of the leaked gas, no absorption or adsorption occurs, and the leaked gas does not settle or decompose and no chemical reaction occurs.
5. The method for tracing the pollution degree of a suspected polluted enterprise to a monitoring point according to claim 1, wherein in the step 4, the gaussian smoke plume diffusion model coordinate system comprises X, Y, Z axes, the origin of the coordinate axis is the emission source point of the suspected polluted enterprise, and if the origin of the coordinate axis is an overhead source, the origin of the coordinate axis is the projection of the emission source point of the suspected polluted enterprise on the ground; the positive direction of an X axis is the wind speed direction, a Y axis is vertical to the X axis on a horizontal plane, the positive direction is the left side of the X axis, a Z axis is vertical to the horizontal plane XOY, and the upward direction is the positive direction;
after a Gaussian plume diffusion model coordinate system under the assumed condition is established, the formula of the Gaussian plume model of the overhead continuous point source diffusion is as follows:
Figure FDA0003983555470000011
/>
H=h+Δh
wherein C is a pollution concentration value caused by the suspicious polluted enterprise to the boundary monitoring point, and the unit is mg/m 3 (ii) a Q is the source intensity, namely the flux of VOCs characteristic pollutants discharged by the discharge source in unit time, and the unit is mg/s; mu is the average wind speed of the leakage height of the overhead emission source, and the unit is m/s; sigma y 、σ z The standard deviation in the horizontal direction and the vertical direction respectively, namely the diffusion coefficient in the Y, Z direction; x is the distance from a spatial point on the wind direction axis to the emission source, and the unit is m; y is the distance from the spatial point to the emission source in the direction perpendicular to the wind direction axis, and the unit is m; z is the height of a point in space in m; h is the effective height of leakage, and the unit is m; h is the height of an overhead source, generally the height of a chimney, and the unit is m; Δ h is the cloud rise height in m.
6. The method according to claim 1, wherein in step 5, the emission source intensity of the enterprise is calculated by a material balance method, and μ and σ in a Gaussian plume diffusion model formula are determined according to meteorological conditions in the region y 、σ z H; furthermore, the coordinates of the monitoring points and other parameter values are utilized together by a Gaussian smoke plume diffusion model formulaAnd calculating to obtain the concentration of the pollutants generated by the suspicious polluted enterprise to the boundary monitoring point.
7. The method according to claim 6, wherein the material balance algorithm is a method for calculating and determining the generation amount or the emission amount of pollutants in unit time by using the balance relationship between the material quantity or the element quantity between the input end and the output end according to the mass conservation law.
8. The method as claimed in claim 6, wherein the meteorological conditions in the area include atmospheric turbulence structure, ground roughness, ground wind speed, wind direction, and total cloud cover.
9. The method for tracing the pollution degree of a suspected polluted enterprise to a monitoring point according to claim 1, wherein in the step 6, the comprehensive assessment method comprises the following steps: making a ratio of the concentration of the pollutants produced by the boundary monitoring points and the actual monitoring concentration of the monitoring points by each suspected polluted enterprise output by the model in the step 5, and taking the obtained ratio as the pollution degree of the suspected polluted enterprise on the boundary monitoring points; further, according to the output result of the model, determining which enterprises have the concentration of the pollutants generated by the boundary monitoring points higher than the actual monitoring concentration value of the monitoring points, and listing the enterprises with the concentration higher than the monitoring values as key suspicious enterprises; and if the concentration value of each monitoring point calculated by each enterprise by using the model does not exceed the actual monitoring value of the monitoring point, sorting the pollution degrees produced by the monitoring points in a descending order according to the enterprises, and selecting the former five suspicious polluted enterprises as key suspicious polluted enterprises in the assessment area.
CN202211558484.2A 2022-12-06 2022-12-06 Method for tracing pollution degree of suspicious polluted enterprise on monitoring point Pending CN115859753A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117147778A (en) * 2023-10-31 2023-12-01 航天宏图信息技术股份有限公司 Method and device for tracing and monitoring atmospheric pollutants, electronic equipment and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117147778A (en) * 2023-10-31 2023-12-01 航天宏图信息技术股份有限公司 Method and device for tracing and monitoring atmospheric pollutants, electronic equipment and storage medium
CN117147778B (en) * 2023-10-31 2024-01-05 航天宏图信息技术股份有限公司 Method and device for tracing and monitoring atmospheric pollutants, electronic equipment and storage medium

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