CN112630386A - Method for estimating quality of single-point air under pollution source condition - Google Patents

Method for estimating quality of single-point air under pollution source condition Download PDF

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CN112630386A
CN112630386A CN202011628276.6A CN202011628276A CN112630386A CN 112630386 A CN112630386 A CN 112630386A CN 202011628276 A CN202011628276 A CN 202011628276A CN 112630386 A CN112630386 A CN 112630386A
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蔡银寅
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Nanjing University of Information Science and Technology
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    • G01N33/0004Gaseous mixtures, e.g. polluted air
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Abstract

The invention discloses a method for estimating the quality of single-point air under the condition of pollution sources, which comprises the following steps of according to the emission characteristics of the pollution sources, namely, no obvious pollution source with high pollutant emission intensity exists in a certain space range, and meanwhile, the emission intensity difference value among the pollution sources is in a certain threshold range; and then neglecting the specific position and the emission intensity of the pollution source, adopting a mode of sampling point pollutant real-time monitoring concentration to replace the emission intensity of the pollution source, and utilizing the transmission coefficient to realize the real-time estimation of the air quality of the space point location. The invention uses the existing air quality real-time monitoring data as the sampling point to estimate the air quality of the space point, solves the problem of air quality estimation under the condition of a pollution source with weak emission intensity, and has the advantages of convenience, quickness and strong practicability.

Description

Method for estimating quality of single-point air under pollution source condition
Technical Field
The invention relates to the field of atmospheric pollution treatment, in particular to a method for estimating the quality of single-point air under the condition of a pollution source.
Background
The existing air quality model is generally used for the situation of strong pollution sources, namely the situation that in a given space, the pollution sources with obvious and strong intensity are discharged. With the continuous deepening of the atmospheric pollution treatment work, the strong pollution sources in cities are less and less, and the pollution sources with various types, complexity and changeability and weak strength become the main aspects influencing the air quality. At the present stage, the air quality model set according to the emission characteristics of the strong pollution source is not suitable for the situation change any more, and the accuracy and the reference value of the model are gradually reduced. On the other hand, the number of urban air quality real-time monitoring facilities is more and more, point locations are more and more dense, and how to effectively use the air quality real-time data has great significance.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the problems, the invention provides a method for estimating the air quality of a single point under the condition of a pollution source, which adopts a mode of sampling point pollutant real-time monitoring concentration instead of pollution source emission intensity and realizes real-time estimation of the air quality of a space point by utilizing a transfer coefficient.
The technical scheme is as follows: in order to realize the purpose of the invention, the technical scheme adopted by the invention is as follows: a method for estimating the quality of single-point air under the condition of a pollution source comprises the following steps:
no obvious pollution source with high-intensity emission exists in a certain space range, and the pollution source comprises one or more of a chimney, a combustion source, a thermal power plant, a large boiler facility, a large volatile organic solvent facility, a large-scale factory and a coking plant; on the contrary, a plurality of pollution sources with weak emission intensity and a plurality of pollution sources which are not found yet exist, including one or more of small catering oil fume emission, small vehicle moving sources, powder type accumulation, small solvent use, exposed ground and various types of unorganized emission sources; meanwhile, the difference value of the emission intensity of any two pollution sources is within a preset threshold range;
the method for estimating the pollutant concentration of any point to be monitored in the space range comprises the following steps:
determining a point location to be monitored in a certain spatial range of a pollution source; the pollution source comprises one or more of catering oil fume emission, a motor vehicle moving source, powder type accumulation, solvent use emission and exposed ground;
establishing a space rectangular coordinate system by taking the point position to be monitored as an origin, taking the west-east direction as an x axis, taking the south-north direction as a y axis and taking the vertical ground upward direction as a z axis;
randomly selecting n sampling points in a certain spatial range of a point location to be monitored, and acquiring real-time measured values of the pollutant concentrations of the n sampling points and spatial position information in real time; the spatial position information comprises the linear distance between the sampling point and the point position to be monitored and the distance between the sampling point and the ground;
and calculating to obtain a real-time pollutant concentration estimation value of the point position to be monitored according to the following formula:
Figure BDA0002879608210000021
in the formula, CktThe pollutant concentration estimation value of the point location k to be monitored at the time t is obtained; n is the number of sampling points; c. CitThe measured value of the pollutant concentration of the ith sampling point at the time t is obtained; beta is aitThe transmission coefficient from the ith sampling point to a point position k to be monitored at the moment t; bt-1And is the measured value of the pollutant concentration of the point location k to be monitored at the moment t-1.
Further, βitThe transmission coefficient from the ith sampling point to the point position k to be monitored at the moment t is expressed; the transfer coefficient is calculated as follows:
Figure BDA0002879608210000022
in the formula, FtThe wind speed of the ith sampling point at the time t is shown; deltaztThe diffusion coefficient of the pollutant at the ith sampling point along the z direction at the time t; deltaytThe diffusion coefficient of the pollutant at the ith sampling point along the y direction at the time t; z is a radical ofkThe distance from the point location k to be monitored to the ground; z is a radical ofiThe distance between the ith sampling point and the ground is determined;
further, the diffusion coefficient δzt=f(Tt,Pt) Denotes with respect to Tt,PtA function of (a); t istThe temperature of the ith sampling point at the time t is taken as the temperature of the ith sampling point; ptThe air pressure of the ith sampling point at the time t is shown; diffusion coefficient deltayt=f(Ft) Denotes with respect to FtA function of (a); ftThe wind speed of the ith sampling point at the time t is shown;
in a preferred embodiment, the diffusion coefficient δzt、δytCan be obtained by calculation according to the Koffy law; in particular, the diffusion coefficient δ is when it is at normal temperature and pressurezt、δytEqual to the diffusion coefficient of conventional contaminants;
further, the method for obtaining the measured value of the concentration of the pollutants at the sampling point comprises obtaining the measured value according to an air quality monitoring facility.
Has the advantages that: compared with the prior art, the technical scheme of the invention has the following beneficial technical effects:
according to the emission characteristics of the pollution sources, the pollution sources which are obvious and high in emission intensity of pollutants do not exist in a certain space range, and meanwhile, the emission intensity difference value among the pollution sources is in a certain threshold range; neglecting the specific position and the emission intensity of the pollution source, adopting a mode of sampling point pollutant real-time monitoring concentration to replace the emission intensity of the pollution source, and realizing real-time estimation of the air quality of the space point position by utilizing the transfer coefficient. The invention can use the existing air quality real-time monitoring data as sampling points to estimate the air quality of space point positions, solves the problem of air quality estimation under the condition of a pollution source with weak emission intensity, and has the advantages of convenience, quickness and strong practicability.
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FIG. 1 is a schematic representation of the process of the present invention.
Detailed Description
The technical solution of the present invention is further described below with reference to the accompanying drawings and examples.
The invention relates to a method for estimating the quality of single-point air under the condition of a pollution source, which comprises the following steps:
determining a point location to be monitored in a certain spatial range of a pollution source; the pollution source comprises one or more of catering oil fume emission, a motor vehicle moving source, powder type accumulation, solvent use emission and exposed ground;
establishing a space rectangular coordinate system by taking the point position to be monitored as an origin, taking the west-east direction as an x axis, taking the south-north direction as a y axis and taking the vertical ground upward direction as a z axis;
randomly selecting n sampling points in a certain spatial range of a point location to be monitored, and acquiring real-time measured values of the pollutant concentrations of the n sampling points and spatial position information in real time; the spatial position information comprises the linear distance between the sampling point and the point position to be monitored and the distance between the sampling point and the ground;
and calculating to obtain a real-time pollutant concentration estimation value of the point position to be monitored according to the following formula:
Figure BDA0002879608210000031
in the formula, CktThe pollutant concentration estimation value of the point location k to be monitored at the time t is obtained; n is the number of sampling points; c. CitThe measured value of the pollutant concentration of the ith sampling point at the time t is obtained; beta is aitThe transmission coefficient from the ith sampling point to a point position k to be monitored at the moment t; bt-1And is the measured value of the pollutant concentration of the point location k to be monitored at the moment t-1.
Further, βitThe transmission coefficient from the ith sampling point to the point position k to be monitored at the moment t is expressed; the transfer coefficient is calculated as follows:
Figure BDA0002879608210000032
in the formula, FtThe wind speed of the ith sampling point at the time t is shown; deltaztThe diffusion coefficient of the pollutant at the ith sampling point along the z direction at the time t; deltaytThe diffusion coefficient of the pollutant at the ith sampling point along the y direction at the time t; z is a radical ofkThe distance from the point location k to be monitored to the ground; z is a radical ofiThe distance from the ith sampling point to the ground;
further, the diffusion coefficient δzt=f(Tt,Pt) Denotes with respect to Tt,PtA function of (a); t istThe temperature of the ith sampling point at the time t is taken as the temperature of the ith sampling point; ptThe air pressure of the ith sampling point at the time t is shown; diffusion coefficient deltayt=f(Ft) Denotes with respect to FtA function of (a); ftThe wind speed at the ith sampling point at the time t.
The foregoing is only a partial embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (4)

1. A method for estimating the quality of single-point air under the condition of pollution sources is characterized by comprising the following steps:
determining a point location to be monitored in a certain spatial range of a pollution source;
establishing a space rectangular coordinate system by taking the point position to be monitored as an origin, taking the west-east direction as an x axis, taking the south-north direction as a y axis and taking the vertical ground upward direction as a z axis;
randomly selecting n sampling points in a certain spatial range of a point location to be monitored, and acquiring real-time measured values of the pollutant concentrations of the n sampling points and spatial position information in real time; the spatial position information comprises the linear distance between the sampling point and the point position to be monitored and the distance between the sampling point and the ground;
and calculating to obtain a real-time pollutant concentration estimation value of the point position to be monitored according to the following formula:
Figure FDA0002879608200000011
in the formula, CktThe pollutant concentration estimation value of the point location k to be monitored at the time t is obtained; n is the number of sampling points; c. CitThe measured value of the pollutant concentration of the ith sampling point at the time t is obtained; beta is aitThe transmission coefficient from the ith sampling point to a point position k to be monitored at the moment t; bt-1And is the measured value of the pollutant concentration of the point location k to be monitored at the moment t-1.
2. The method for estimating the quality of the single point air under the pollution source condition according to claim 1, wherein the transfer coefficient is calculated by the following formula:
Figure FDA0002879608200000012
in the formula, FtThe wind speed of the ith sampling point at the time t is shown; deltaztThe diffusion coefficient of the pollutant at the ith sampling point along the z direction at the time t; deltaytThe diffusion coefficient of the pollutant at the ith sampling point along the y direction at the time t; z is a radical ofkThe distance from the point location k to be monitored to the ground; z is a radical ofiThe distance from the ith sampling point to the ground.
3. The method of claim 2, wherein the diffusion coefficient δ is a single point air quality under pollution source conditionszt=f(Tt,Pt) Denotes with respect to Tt,PtA function of (a); t istThe temperature of the ith sampling point at the time t is taken as the temperature of the ith sampling point; ptThe air pressure of the ith sampling point at the time t is shown; diffusion coefficient deltayt=f(Ft) Denotes with respect to FtA function of (a); ftThe wind speed at the ith sampling point at the time t.
4. The method for estimating single point air quality under pollution source conditions as claimed in claim 1 or 3, wherein the pollution source comprises one or more of cooking fume emission, automobile moving source, powder type accumulation, solvent use emission and bare ground.
CN202011628276.6A 2020-12-31 2020-12-31 Method for estimating quality of single-point air under pollution source condition Pending CN112630386A (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109117549A (en) * 2018-08-08 2019-01-01 浙江航天恒嘉数据科技有限公司 A kind of pollutant DIFFUSION PREDICTION method and system
CN111461405A (en) * 2020-03-09 2020-07-28 平安国际智慧城市科技股份有限公司 Pollutant diffusion prediction method, device, equipment and storage medium

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109117549A (en) * 2018-08-08 2019-01-01 浙江航天恒嘉数据科技有限公司 A kind of pollutant DIFFUSION PREDICTION method and system
CN111461405A (en) * 2020-03-09 2020-07-28 平安国际智慧城市科技股份有限公司 Pollutant diffusion prediction method, device, equipment and storage medium

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
丁洁 等: "基于ADMS-Urban的城市区域大气环境容量测算与规划", 《中国环境科学学会学术年会论文集》 *
刘怡靖;: "福建省三明市大气环境容量研究", 环境科学与管理 *
白乃彬: "《计算机与环境科学》", 31 December 2001 *
肖杨;毛显强;马根慧;李卓;: "基于ADMS和线性规划的区域大气环境容量测算", 环境科学研究 *
蔡银寅 等: "南京信息工程大学教师研发单点动态污染源清单模型", 《阅江学刊》 *

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