CN113420984A - Method for determining air pollution source area - Google Patents
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- 238000003915 air pollution Methods 0.000 title claims abstract description 47
- 238000000034 method Methods 0.000 title claims abstract description 33
- 208000035987 Body-Weight Trajectory Diseases 0.000 claims abstract description 21
- 238000011160 research Methods 0.000 claims abstract description 13
- 239000000809 air pollutant Substances 0.000 claims abstract description 12
- 231100001243 air pollutant Toxicity 0.000 claims abstract description 12
- 238000012216 screening Methods 0.000 claims abstract description 11
- 238000004364 calculation method Methods 0.000 claims description 8
- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 claims description 7
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 claims description 6
- 239000000356 contaminant Substances 0.000 claims description 4
- 239000003344 environmental pollutant Substances 0.000 claims description 4
- 231100000719 pollutant Toxicity 0.000 claims description 4
- MGWGWNFMUOTEHG-UHFFFAOYSA-N 4-(3,5-dimethylphenyl)-1,3-thiazol-2-amine Chemical compound CC1=CC(C)=CC(C=2N=C(N)SC=2)=C1 MGWGWNFMUOTEHG-UHFFFAOYSA-N 0.000 claims description 3
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 3
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 3
- 238000011109 contamination Methods 0.000 claims description 3
- JCXJVPUVTGWSNB-UHFFFAOYSA-N nitrogen dioxide Inorganic materials O=[N]=O JCXJVPUVTGWSNB-UHFFFAOYSA-N 0.000 claims description 3
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Abstract
The present disclosure provides a method for determining an air pollution source region, including: obtaining an air pollution source region determining task; executing an air pollution source region determination task to obtain backward trajectory data of a research area; gridding the acquired backward track data; leading in a time-by-time observation value of air pollutants in a research area; determining potential source contribution factor PSCF from observationsijAnd concentration weight trajectory CWTij(ii) a Introducing a weight factor W (n)ij) Weighting factor W (n)ij) Respectively with potential source contribution factor PSCFijAnd concentration weight trajectory CWTijMultiplying to obtain a corrected potential source contribution factor WPSCFijAnd correcting the concentration weight trajectory WCWTij(ii) a Screening for WPSCFijA first region greater than a first preset threshold; screening of WCWTijA second region greater than a second preset threshold; determiningA common area of the first area and the second area, wherein the common area serves as a primary source of air pollution.
Description
Technical Field
The disclosure relates to the technical field of air quality monitoring, in particular to a method for determining an air pollution source area.
Background
Due to the severe situation of air pollution, researchers at home and abroad have conducted a great deal of research on the concentration distribution, space-time variation, regional delivery, formation mechanism and the like of atmospheric pollutants. Air pollution source analysis and air quality prediction business and capacity construction are actively carried out in various places, so that the source analysis is carried out on the air pollution, pollution contribution key areas are analyzed and identified, and a basis is provided for pollution control. Therefore, the main source area of the air pollution source is accurately determined, and the method not only can provide guidance for daily life and production activities, but also can provide data and support for environmental protection measures.
Disclosure of Invention
Technical problem to be solved
In view of the above technical problems, the present disclosure provides a method for determining an air pollution source region, which is intended to at least partially solve one of the above technical problems.
(II) technical scheme
In order to solve the technical problem, the present disclosure provides a method for determining an air pollution source region, including:
obtaining an air pollution source region determining task;
executing the air pollution source region determination task to acquire backward trajectory data of a research area;
gridding the acquired backward track data;
leading in a time-by-time observation value of air pollutants in a research area;
determining a potential source contribution factor PSCF from the observationsijAnd concentration weight trajectory CWTij；
Introducing a weight factor W (n)ij) Weighting factor W (n)ij) Respectively with the potential source contribution factor PSCFijAnd said concentration weight trace CWTijMultiplying to obtain a corrected potential source contribution factor WPSCFijRepairing and repairingPositive concentration weight trajectory WCWTij(ii) a Wherein i and j represent longitude and latitude, respectively, and nijRepresents the number of endpoints that fall within grid (i, j);
screening the corrected potential source contribution factor WPSCFijA first region greater than a first preset threshold; screening the corrected concentration weight trace WCWTijA second region greater than a second preset threshold;
determining a common area of the first area and the second area, wherein the common area serves as a main source area of air pollution.
According to an embodiment of the present disclosure, the potential source contribution factor PSCFijThe calculation formula (2) includes:
wherein n isijRepresents the number of endpoints, m, falling in the grid (i, j)ijThe number of endpoints exceeding the first preset threshold in the grid (i, j) is represented, and the grid (i, j) represents a grid surrounded by the longitude i and the latitude j.
According to an embodiment of the present disclosure, the concentration weight trajectory CWTijThe calculation formula (2) includes:
wherein, CWTijIs the average contamination weight concentration of grid (i, j); k is a backward trajectory; n is the total number of traces that pass through the grid (i, j); ckIs the corresponding contaminant concentration, α, of the trace k through the grid (i, j)ijkThe time the trajectory k dwells on grid (i, j).
According to an embodiment of the present disclosure, the weight factor W (n)ij) The method comprises the following steps:
according to an embodiment of the present disclosure, the gridding the acquired backward trajectory data includes: gridding the backward trajectory data into a grid having a resolution of 1 ° × 1 °.
According to an embodiment of the present disclosure, wherein the first preset threshold is > 160 μ g/m3。
According to an embodiment of the present disclosure, wherein the second preset threshold > 0.9.
According to an embodiment of the present disclosure, the acquiring backward trajectory data of the research area includes: the air pollutants in the study area were simulated for one month each time by following the trajectory 24 hours from the ground at a height of 500 m.
According to an embodiment of the present disclosure, further comprising: determining a display color of the common area;
and carrying out visual display on the public area according to the display color.
According to an embodiment of the present disclosure, the contaminants of the air pollution source zone include one or more of ozone, sulfur dioxide, nitrogen dioxide, carbon monoxide.
(III) advantageous effects
The method comprises the steps of gridding backward trajectory data, introducing a time-by-time observation value of air pollutants in a research area, and then determining a potential source contribution factor PSCF according to the observation valueijAnd concentration weight trajectory CWTijAnd by a weighting factor W (n)ij) Contributing factor PSCF to potential sourceijAnd concentration weight trajectory CWTijModified to reduce PSCFijAnd CWTijUncertainty as a conditional probability analysis; then, screening out a corrected potential source contribution factor WPSCFijA first area larger than a first preset threshold value and a second area where the corrected concentration weight locus WCWTij is larger than a second preset threshold value, and a common area of the first area and the second area is used as a main source area of air pollution. The method for determining the air pollution source area is simple and convenient to operate and high in accuracy, can be used for analyzing the atmospheric pollution source of the area and demonstrating the pollution contribution key area, further realizes the identification of the pollution contribution key area, and aims to researchPowerful support is provided for the management and control of atmospheric pollution abatement subregion.
Drawings
Fig. 1 is a flowchart of a method for determining an air pollution source region provided by the present disclosure.
Detailed Description
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
At present, an air quality model commonly used at home and abroad is basically based on a regional chemical model containing a complex chemical process, such as wrf-CMAQ, wrf-chem and other air quality model simulation methods based on an emission list, and can be used for establishing a model and predicting the concentration of air pollutants based on a physical and chemical process under the conditions of a specific meteorological field, source emission and an initial boundary. However, the above method is often complex in operation and large in calculation amount, a large server needs to be equipped to provide an operation platform, and the operation speed is very slow along with the increase of the area and the refinement of the grid. Meanwhile, the reliability of the calculation result depends on the emission source list, the emission source list is not updated timely, and the uncertainty of parameter setting influences the accuracy rate.
The lagrange mixed single-particle orbit model, in combination with a Potential Source Contribution factor method (PSCF) and a Concentration-Weighted Trajectory analysis method (CWT), can be operated easily and conveniently, and can be used for researching atmospheric pollution transmission path transmission and transmission Source places on the premise of not depending on emission lists. PSCF reflects the proportion of the pollution track in the grid only and cannot reflect the pollution degree of the track; the CWT can analyze the pollution degree of the pollution track, but does not consider the proportion of the pollution track in the grid, and a more in-depth new method is needed for quickly and accurately analyzing the main source area of the air pollution.
In order to solve the technical problem, the present disclosure provides a method for determining an air pollution source region, including:
obtaining an air pollution source region determining task;
executing an air pollution source region determination task to obtain backward trajectory data of a research area;
gridding the acquired backward track data;
leading in a time-by-time observation value of air pollutants in a research area;
determining potential source contribution factor PSCF from observationsijAnd concentration weight trajectory CWTij；
Determining a potential source contribution factor PSCF from the observationsijAnd concentration weight trajectory CWTij；
Introducing a weight factor W (n)ij) Weighting factor W (n)ij) Respectively with the potential source contribution factor PSCFijAnd said concentration weight trace CWTijMultiplying to obtain a corrected potential source contribution factor WPSCFijAnd correcting the concentration weight trajectory WCWTij(ii) a Wherein i and j represent longitude and latitude, respectively, and nijRepresents the number of endpoints that fall within grid (i, j);
screening and correcting potential source contribution factor WPSCFijA first region greater than a first preset threshold; screening of corrected concentration weight trajectories WCWTijA second region greater than a second preset threshold;
a common area of the first area and the second area is determined, wherein the common area serves as a main source area of air pollution.
The method comprises the steps of gridding backward trajectory data, introducing a time-by-time observation value of air pollutants in a research area, and then determining a potential source contribution factor PSCF according to the observation valueijAnd concentration weight trajectory CWTijAnd by a weighting factor W (n)ij) Contributing factor PSCF to potential sourceijAnd concentration weight trajectory CWTijModified to reduce PSCFijAnd CWTijUncertainty as a conditional probability analysis; then, screening out a corrected potential source contribution factor WPSCFijA first area larger than a first preset threshold value and a second area where the corrected concentration weight locus WCWTij is larger than a second preset threshold value, and a common area of the first area and the second area is used as a main source area of air pollution. The method for determining the air pollution source area is simple and convenient to operate and high in accuracyThe method can analyze the atmospheric pollution source of the area and demonstrate the pollution contribution key area, so as to identify the pollution contribution key area, and provide powerful support for researching atmospheric pollution treatment partition management and control.
According to an embodiment of the present disclosure, there is provided a method for determining a source area of air pollution, including: operations S101-S108.
In operation S101, an air pollution source region determination task is acquired.
In operation S102, an air pollution source region determination task is performed to acquire backward trajectory data of the study region.
In operation S103, the acquired backward trajectory data is gridded.
In operation S104, time-by-time observations of air pollutants are conducted into the study area.
In operation S105, a potential source contribution factor PSCF is determined from the observationsijAnd concentration weight trajectory CWTij。
In operation S106, a weight factor W (n) is introducedij) Determining a corrected potential source contribution factor WPSCFijAnd correcting the concentration weight trajectory WCWTij(ii) a Wherein i and j represent longitude and latitude, respectively, and nijIndicating the number of endpoints that fall within the grid (i, j).
In operation S107, a screen corrects the potential source contribution factor WPSCFijA first region greater than a first preset threshold; screening of corrected concentration weight trajectories WCWTijAnd a second region greater than a second preset threshold.
In operation S108, a common area of the first area and the second area is determined, wherein the common area serves as a main source area of air pollution.
According to an embodiment of the present disclosure, the time-by-time observations come from an air quality real-time publishing platform.
According to an embodiment of the present disclosure, the potential source contribution factor PSCFijThe calculation formula (2) includes:
wherein n isijRepresents the number of endpoints, m, falling in the grid (i, j)ijThe number of endpoints exceeding the first preset threshold in the grid (i, j) is represented, and the grid (i, j) represents a grid surrounded by the longitude i and the latitude j.
According to an embodiment of the present disclosure, concentration weight trajectory CWTijThe calculation formula (2) includes:
wherein, CWTijIs the average contamination weight concentration of grid (i, j); k is a backward trajectory; n is the total number of traces that pass through the grid (i, j); ckIs the corresponding contaminant concentration, α, of the trace k through the grid (i, j)ijkThe time the trajectory k dwells on grid (i, j).
According to an embodiment of the present disclosure, the weighting factor W (n)ij) The method comprises the following steps:
according to an embodiment of the present disclosure, gridding the acquired backward trajectory data includes: the backward trajectory data is gridded to a grid with a resolution of 1 ° × 1 °.
According to an embodiment of the present disclosure, wherein the first preset threshold is > 160 μ g/m3。
According to an embodiment of the present disclosure, wherein the second preset threshold > 0.9.
According to an embodiment of the present disclosure, obtaining backward trajectory data of a study area includes: the air pollutants in the study area were simulated for one month each time by following the trajectory 24 hours from the ground at a height of 500 m.
According to an embodiment of the present disclosure, further comprising: determining a display color of the common area;
and visually displaying the public area according to the display color.
According to an embodiment of the present disclosure, the pollutants of the air pollution source area include ozone, sulfur dioxide, nitrogen dioxide, and carbon monoxide.
For further understanding of the present disclosure, specific examples are given for further illustration:
the method provided by the disclosure is adopted to analyze the main source regions of air pollution sources of the city 1 and the city 2 respectively, wherein the air pollutants take ozone as an example, the ozone data is from an air quality environment monitoring platform, and the time range is 3 months-2021 months in 2020 to 2 months.
Wherein the time is divided into 3-5 months in spring, 6-8 months in summer, 9-11 months in autumn, and 12-2 months in winter.
The pollution degree of the main source area is represented by WCWT, and the pollution degree is obtained by utilizing different display colors to visually display different concentrations of pollutants in the main source area:
the ozone pollution of city 1 is serious in spring and summer in 2020. Meanwhile, the coverage range of the main source region in summer is the largest, and the coverage range is next to that in spring; the main source areas of the spring and summer are concentrated in the cities of the west and the south of the city 1; in autumn and winter, the main source area is transferred from south to north, and the coverage area is reduced. In addition, a part of the main source areas in spring, autumn and winter are from the sea.
In the spring of 2020, city 2 has serious ozone pollution; in 2020, the coverage of the main source area is the largest in spring, and is concentrated in the cities of the south and the west of the city 2; a part of the main source areas in spring, summer and winter are located on the sea.
The above embodiments are provided to further explain the purpose, technical solutions and advantages of the present disclosure in detail, and it should be understood that the above embodiments are only examples of the present disclosure and are not intended to limit the present disclosure, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.
Claims (10)
1. A method for determining an air pollution source region, comprising:
obtaining an air pollution source region determining task;
executing the air pollution source region determination task to acquire backward trajectory data of a research area;
gridding the acquired backward track data;
leading in a time-by-time observation value of air pollutants in a research area;
determining a potential source contribution factor PSCF from the observationsijAnd concentration weight trajectory CWTij；
Introducing a weight factor W (n)ij) Weighting factor W (n)ij) Respectively with the potential source contribution factor PSCFijAnd said concentration weight trace CWTijMultiplying to obtain a corrected potential source contribution factor WPSCFijAnd correcting the concentration weight trajectory WCWTij(ii) a Wherein i and j represent longitude and latitude, respectively, and nijRepresents the number of endpoints that fall within grid (i, j);
screening the corrected potential source contribution factor WPSCFijA first region greater than a first preset threshold; screening the corrected concentration weight trace WCWTijA second region greater than a second preset threshold;
determining a common area of the first area and the second area, wherein the common area serves as a main source area of air pollution.
2. The method for determining an air pollution source region according to claim 1,
the potential source contribution factor PSCFijThe calculation formula (2) includes:
wherein n isijRepresents the number of endpoints, m, falling in the grid (i, j)ijAnd the number of endpoints exceeding the first preset threshold in the grid (i, j) is represented, and the grid (i, j) represents a grid surrounded by the longitude i and the latitude j.
3. The method for determining an air pollution source region according to claim 2,
the concentration weight trajectory CWTijThe calculation formula (2) includes:
wherein, CWTijIs the average contamination weight concentration of grid (i, j); k is a backward trajectory; n is the total number of traces that pass through the grid (i, j); ckIs the corresponding contaminant concentration, α, of the trace k through the grid (i, j)ijkThe time the trajectory k dwells on grid (i, j).
4. The method for determining an air pollution source region according to claim 3,
the weight factor W (n)ij) The method comprises the following steps:
5. the method for determining an air pollution source region according to claim 1,
the gridding the acquired backward trajectory data comprises: gridding the backward trajectory data into a grid having a resolution of 1 ° × 1 °.
6. The method for determining an air pollution source region according to claim 1,
wherein the first preset threshold is more than 160 mu g/m3。
7. The method for determining an air pollution source region according to claim 1,
wherein the second preset threshold is greater than 0.9.
8. The method for determining an air pollution source region according to claim 1,
the acquiring backward trajectory data of the research area comprises: the air pollutants in the study area were simulated for one month each time by following the trajectory 24 hours from the ground at a height of 500 m.
9. The method for determining an air pollution source area according to claim 1, further comprising:
determining a display color of the common area;
and carrying out visual display on the public area according to the display color.
10. The method for determining an air pollution source area according to claim 1, wherein the pollutants in the air pollution source area comprise one or more of ozone, sulfur dioxide, nitrogen dioxide and carbon monoxide.
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| CN117610895A (en) * | 2024-01-23 | 2024-02-27 | 中科三清科技有限公司 | Method and device for determining heavy point pollution source management and control time, electronic equipment and medium |
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| CN118115179B (en) * | 2024-04-30 | 2024-07-05 | 北京中科三清环境技术有限公司 | Method and device for identifying contribution concentration of artificial source and natural source |
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