Atmospheric pollution prevention and control accurate early warning management and control method based on regional monitoring data

Abstract

The invention discloses an air pollution prevention and control accurate early warning management and control method based on regional monitoring data. The method comprises the following steps: S1, carrying out grid division on a target region; s2, making an atmospheric monitoring map of the target area; s3, acquiring real-time data of online monitoring points of the target area, and performing concentration field assimilation in combination with the wind field assimilation data; s4, aiming at different early warning scenes, establishing an air pollution factor comparison algorithm to carry out pollution early warning; s5, determining the range direction and boundary of the early warning control area; s6, calculating a relative angle A'and a relative distance R 'between an early warning station and a pollution source, and screening early warning management and control targets falling in the early warning management and control area determined in S5; s7, automatically listing an early-warning pollution source list according to the early-warning management and control targets screened out in the step S6; and S8, automatically sending the generated list to related personnel. According to the invention, accurate identification of a pollution source early warning management and control target is realized, and accurate transmission by management and control personnel is realized.

Description

Technical Field

[0001] The present invention relates to the field of regional air pollution prevention and control, and in particular to a method for precise early warning and control of air pollution prevention and control based on regional monitoring data. Background Art

[0002] With the rapid development of industrialization and urbanization, the problem of atmospheric pollution has become increasingly serious and has become an important factor restricting the sustainable development of the economy and society. In order to further strengthen the control of pollution sources and continuously improve the quality of ambient air, various regions have established air monitoring stations and micro-stations, and some pollutant-discharging units have configured online pollution monitoring. However, the causes of atmospheric pollution are relatively complex, including local sources and external pollution transmission. The online monitoring of pollution sources currently under construction only covers some pollution sources and industrial enterprises with large emissions. Since the air quality monitoring platform is often limited to reporting the hourly concentration of atmospheric pollution indicators and conducting air quality level warnings, and the air quality environment warning and control warning capabilities are weak, the air quality conditions found are often only pushed to all relevant personnel without distinction, and the pollution control instructions are not sent in time, and the pollution control areas or non-online monitoring pollution control units are difficult to be accurate, making it impossible for grassroots workers to carry out specific pollution source control work in a timely and efficient manner. In addition, pollution from local pollution sources often affects the local air quality in a relatively short period of time. It is necessary to increase data warnings to the minute level for monitoring, and to provide timely warnings from scenarios such as high pollution values ​​at sites, high pollution inflection points, and pollution transmission, to guide emergency pollution control work, which is crucial to reducing air pollution and improving air quality. Summary of the invention

[0003] 1. Technical issues to be resolved

[0004] The purpose of the present invention is to address the current problems that the automatic air quality monitoring station and the online monitoring of pollution sources are independent information systems, the online monitoring data cannot be effectively linked and integrated, the traditional air pollution warning focuses on the air quality pollution warning, the pollution warning information is basically sent indiscriminately, the pollution control area, the pollution discharge unit, and the responsible personnel are difficult to accurately determine, resulting in the difficulty in focusing the control force, the high labor and material consumption of the control unit, and the low work efficiency. A method for precise early warning control of air pollution prevention and control based on regional monitoring data is proposed, which accesses the automatic air quality monitoring data, the online monitoring data of the pollution source, and inputs the list of regional pollution sources; establishes a variety of atmospheric pollution factor comparison algorithms to warn different high-value pollution scenes; further combines the geographical location of the air station and the pollution source with the meteorological conditions, calculates the scope of the early warning control area and the early warning control target, and screens out an accurate list of patrol and control pollution sources, providing technical methods and support for the refined and scientific prevention and control of air pollution, which can effectively solve the problems faced by the existing technology.

[0005] (II) Technical solution

[0006] To achieve the above-mentioned purpose, the present invention provides a method for accurate early warning and control of air pollution based on regional monitoring data, comprising the following steps: S1: gridding the target area, determining the grid boundary, grid number, grid name, name and contact number of the grid person in charge, and constructing a regional air pollution prevention and control responsible grid; S2: obtaining a list of pollution sources in the target area, automatic air quality monitoring stations, online monitoring points of pollution sources, longitude and latitude coordinates of pollution sources, types of pollutants, and information of persons in charge, and making an atmospheric monitoring map of the target area; S3: obtaining real-time data from automatic air quality monitoring stations and online monitoring points of pollution sources in the target area, performing basic processing on atmospheric pollutant concentration data and pollution source emission data, and combining wind field assimilation data to perform concentration field assimilation; S4: monitoring and analyzing the data from automatic air quality monitoring stations, and establishing an atmospheric pollution factor comparison algorithm for different fields S5: Based on the warning activation situation, the direction and boundary of the warning control area are determined by comparing the pollutant concentrations between the automatic air quality monitoring stations during the high-value warning period of the site pollution, and combining the wind direction and wind speed conditions; S6: Taking the warning site as the origin, the relative angle and relative distance of the pollution source are calculated by the longitude and latitude, and the warning control targets falling in the warning control area determined by S5 are screened; S7: According to the warning control targets screened out by S6, a list of warning pollution sources is listed; S8: The generated list is automatically sent to relevant personnel, including the person in charge of the pollution source unit, grid personnel, local person in charge and functional department personnel, so as to realize the accurate identification of the warning control targets and the accurate sending of control personnel.

[0007] Preferably, the air quality automatic monitoring station data includes air quality monitoring data and meteorological factor monitoring data; the monitoring data can be minute value concentration or hourly value concentration;

[0008] Preferably, the air pollution factors include PM 2.5 、PM 10 , SO2, NO2, O3 and CO; the meteorological factors include wind speed, wind direction, temperature, air pressure and relative humidity;

[0009] Preferably, the air pollution factor comparison can select PM 2.5 、PM 10 , SO2, NO2, O3 and CO.

[0010] Preferably, the air pollution factor comparison algorithm includes the following three types:

[0011] (1) High-value warning of site pollution

[0012] Based on the air quality monitoring data of the automatic air quality monitoring station, when the average concentration of a certain pollution factor j for n consecutive times ≥ the set threshold, the site pollution high value warning is activated;

[0013] (2) Warning of turning point of increasing pollution concentration at the site

[0014] The inflection point of pollution concentration increase is the average concentration change rate of pollution factors ( ) is expressed as follows and calculated using the following formula:

[0015]

[0016]

[0017] Where:

[0018] ---j pollution factor Time concentration (μg / m 3 );

[0019] ---j pollution factor Time concentration (μg / m 3 );

[0020] ---j pollution factor to Concentration change rate during time period (%);

[0021] ---j pollution factor t i The average rate of change of concentration values ​​monitored for n consecutive times after the concentration value at time (%);

[0022] when is greater than the set threshold, and When the value is greater than or equal to the set threshold, the pollution concentration increase inflection point warning is activated;

[0023] (3) Pollution transmission warning

[0024] Combined with the real-time wind field conditions, the pollution factor concentration values ​​of the current automatic air quality monitoring station and the upwind automatic air quality monitoring station are compared, as well as the concentration change rate between stations in the same period; the concentration change rate between upwind stations is calculated using the following formula:

[0025]

[0026]

[0027] Where:

[0028] --- The change rate of pollution factor concentration j between upwind stations at the moment (%);

[0029] ---The concentration of pollution factor j at the current air quality automatic monitoring station A;

[0030] ---The concentration of pollution factor j at the adjacent automatic air quality monitoring station B upwind;

[0031] ---Pollution factor j between upwind stations t i The average change rate of the concentration values ​​monitored m times continuously after time (%);

[0032] when , are greater than the set threshold, and in the specified period, When it is greater than the set threshold, the pollution transmission warning is activated.

[0033] Preferably, the direction and boundary of the warning control area are determined based on the comparison of pollutant concentrations between automatic air quality monitoring stations during the high-value warning period of site pollution, and combined with wind direction and wind speed conditions;

[0034] When the wind speed v is large, the wind direction is θ w , taking the warning site as the origin, setting the fan-shaped expansion warning angle θ, with θ w ±θ forms a sector area with a central angle of θ′; select other automatic air quality monitoring stations located in the aforementioned sector area, when the concentration of pollutant j at the station is less than the concentration of pollutant j at the warning station, and take the distance R between the automatic air quality station and the warning station with the shortest distance as the radius of the sector, form the scope of the warning control area;

[0035] When the wind speed v is low and the weather is calm and stable, the central angle θ can be set to 180°, and the warning range radius R can be customized according to the actual distribution of regional pollution sources;

[0036] The fan-shaped expansion warning angle θ can be set in combination with the wind speed, terrain characteristics of the target area and distribution characteristics of pollution sources; for example, in calm and stable weather, that is, when the wind speed is less than 1.0m / s, θ can be set to 180°; when the wind speed is 1-2m / s, θ can be set to 60°-90°; when the wind speed is 3-5m / s, θ can be set to 45°-60°; when the wind speed is greater than 5m / s, θ can be set to 30°-45°.

[0037] Preferably, the air pollution factor comparison can select PM 2.5 、PM 10 , SO2, NO2, O3 and CO.

[0038] Preferably, taking the early warning site A as the starting point, the relative angle A′ and the relative distance R′ of the pollution source B are calculated by longitude and latitude, and the early warning control targets falling within the scope of the early warning control area are screened.

[0039] Considering that this technical solution is suitable for regional pollution prevention and control, the target area is relatively small, and the simplified longitude and latitude distance calculation formula is used, and its accuracy can meet the actual application requirements;

[0040] The process of determining the scope of the early warning control area includes the following steps:

[0041] S601: Calculate the relative angle A′ between points A and B using the inverse tangent function (atan2) formula (6):

[0042] A′ =atan2((Bj-Aj),cos(Bw)*sin(Aw)-sin(Bw)* cos(Aw)* cos(Bj-Aj)) (6)

[0043] In formula (6),

[0044] A---early warning site;

[0045] B---Pollution source or automatic air quality monitoring station;

[0046] Aj---Longitude of point A; Aw: Latitude of point A; Bj: Longitude of point B; Bw: Latitude of point B;

[0047] Latitude and longitude use degrees, in the form of DDD.DDDDDD°;

[0048] Because the parameters of trigonometric functions are radians, you need to convert degrees to radians by dividing the latitude and longitude by 180 and multiplying by π.

[0049] A′: The azimuth of B relative to A, starting from true north as 0 degrees and rotating clockwise from east to south to west; A′ is an angle expressed in radians ranging from –π / 2 to +π / 2 (–pi / 2 to +pi / 2). The angle expressed in degrees can be obtained by the DEGREES function.

[0050] S602: Calculate the relative distance R′ between points A and B using formula (7):

[0051] R′=r×arccos[sin(Aw)×sin(Bw)+cos(Aw)×cos(Bw)×cos(Aj−Bj)] (7)

[0052] In formula (7):

[0053] R′---the distance between points A and B (m);

[0054] r---the radius of the earth (usually the average radius, about 6371004m);

[0055] Aj and Bj are the longitudes of points A and B respectively; Aw and Bw are the latitudes of points A and B respectively;

[0056] When the pollution source satisfies A′ at θ w Within the range of ±θ, and R′≤R, it is defined as the early warning control target falling within the early warning control area.

[0057] (III) Beneficial effects

[0058] The present invention has the following beneficial effects:

[0059] (1) Effectively link and integrate air quality monitoring data, meteorological data and online monitoring data of pollution sources to achieve linkage between air pollution early warning and control;

[0060] (2) Establishing a variety of atmospheric pollution factor comparison algorithms for different high-pollution scenarios can achieve rapid and accurate pollution warnings at the minute level;

[0061] (3) By calculating the scope of the early warning and control area and the pollution sources, an accurate list of pollution sources for inspection and control is screened out, providing technical methods and support for the refined and scientific prevention and control of air pollution.

[0062] (4) Pollution warning information is accurately sent to pollution control areas, pollution-discharging units, and responsible personnel, focusing on control efforts, saving manpower and material resources of control units, and improving work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 An overall flow chart provided for an embodiment of the present invention;

[0064] Figure 2 A schematic diagram of a method for determining an early warning control range provided in an embodiment of the present invention;

[0065] Figure 3 A schematic diagram of the early warning control range provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0066] Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as being limited to the embodiments described herein, but rather these embodiments are provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are only for exemplary purposes and are not intended to limit the scope of protection of the present invention. It should be understood that the various steps described in the method implementation of the present invention can be performed in different orders and / or performed in parallel. In addition, the method implementation may include additional steps and / or omit the steps shown. The scope of the present invention is not limited in this respect.

[0067] The present invention provides a method for accurate early warning and control of air pollution based on regional monitoring data, comprising the following steps: Figure 1 ):

[0068] S1: Grid division of the target area, determination of grid boundaries, grid numbers, grid names, names and contact numbers of grid leaders, and establishment of regional air pollution prevention and control responsible grids;

[0069] S2: Obtain a list of pollution sources in the target area, automatic air quality monitoring stations, online monitoring points of pollution sources, longitude and latitude coordinates of pollution sources, types of pollutants, and information of responsible persons, and prepare an atmospheric monitoring map of the target area;

[0070] S3: Obtain real-time data from automatic air quality monitoring stations and online pollution source monitoring points in the target area to perform basic processing on atmospheric pollutant concentration data and pollution source emission data, and perform concentration field assimilation in combination with wind field assimilation data;

[0071] S4: Monitor and analyze the data from the automatic air quality monitoring station, and establish an atmospheric pollution factor comparison algorithm to initiate pollution warnings for different scenarios;

[0072] S5: Based on the activation of the site warning, by comparing the pollutant concentrations between the automatic air quality monitoring stations during the high-value warning period, combined with the wind direction, wind speed, terrain characteristics of the target area and the distribution characteristics of pollution sources, determine the direction and boundaries of the warning control area;

[0073] S6: Taking the early warning site as the origin, calculate the relative angle and relative distance of the pollution source through longitude and latitude, and select the early warning control targets that fall within the early warning control area determined by S5;

[0074] S7: Screen out early warning control targets based on S6 and list early warning pollution sources;

[0075] S8: The generated list will be automatically sent to relevant personnel, including the person in charge of the pollution source unit, grid personnel, local person in charge and personnel of functional departments, so as to achieve accurate identification of early warning and control targets and accurate delivery of control personnel.

[0076] Embodiment 1:

[0077] Based on the method of precise early warning and control of atmospheric pollution based on regional monitoring data of the present invention, Jiangshan City is taken as the target area, PM2.5 factor is taken as the main monitoring indicator, and the online monitoring data of the automatic air quality monitoring station, small and micro stations and pollution source units including industrial enterprises and key construction sites in Jiangshan City on June 9, 2024 are combined with the meteorological conditions at that time to determine the scope of the directional early warning control area, and the pollution sources within the early warning control area are accurately warned. The specific examples are as follows:

[0078] Step 1: There are 21 towns and streets in Jiangshan City and 2 provincial-level automatic air quality monitoring stations. There are three streets in the key areas of the urban area, namely Qinghu Street, Hushan Street and Shuangta Street, with a total of 21 communities. Grid division is carried out according to the above-mentioned towns and streets and communities in the key areas of the urban area, and the grid boundaries, grid numbers, grid names, names and contact numbers of grid leaders are determined to build a regional air pollution prevention and control grid.

[0079] Step 2: In Jiangshan City, there are 2 provincial-level automatic air quality monitoring stations (the People's Hospital station and the Environmental Protection Building station), 23 township and street stations, 3 industrial park stations, 23 community micro stations, 15 key road micro stations, 42 key construction site dust micro stations, and 7 elevated sources. Obtain a list of pollution sources in the target area, automatic air quality monitoring stations, online monitoring points of pollution sources, latitude and longitude coordinates of pollution sources, types of pollutants, and information of responsible persons, and prepare an atmospheric monitoring map of the target area.

[0080] Step 3: Obtain real-time data from automatic air quality monitoring stations, small and micro stations, and online monitoring points of pollution sources in the target area to perform basic processing on atmospheric pollutant concentration data and pollution source emission data, and combine wind field assimilation data to perform concentration field assimilation; the wind field and concentration of each station in the target area can be intuitively seen.

[0081] Step 4: By monitoring and analyzing the minute-level (5min) monitoring data of pollution factors at the air quality automatic monitoring stations, township stations and park stations, starting at 8:00 on June 9, 2024, the PM at the People's Hospital station 2.5 The factor increased rapidly, reaching 42ug / m at 8:20. 3 The PM2.5 concentration increased by 10ug / m in 20 minutes. 3(Table 1), combined with the atmospheric pollution factor comparison algorithm established by this technical solution, accurate pollution warnings for different scenarios can be obtained.

[0082] The air pollution factor comparison algorithm includes the following three types:

[0083] (1) High-value warning of site pollution

[0084] Based on the PM2.5 minute concentration data of the air quality automatic monitoring station, when the average concentration of 5 consecutive times in the period of 8:00-8:20 is ≥ the set threshold (30ug / m 3 ) when the site PM2.5 pollution high value warning is activated;

[0085]

[0086] According to calculation, the number of stations in Lianhua Industrial Zone, Hecun Town and People's Hospital is Both are greater than the set threshold of 30ug / m 3 Therefore, the above three stations will initiate high-value warning for PM2.5 pollution.

[0087] (2) Warning of turning point of increasing pollution concentration at the site

[0088] By calculating the average concentration change rate of the 5-minute PM2.5 concentration at each station during the period of 8:00-8:20 ( )

[0089]

[0090]

[0091] Where:

[0092] ---j pollution factor Time concentration (μg / m 3 );

[0093] ---j pollution factor Time concentration (μg / m 3 );

[0094] ---j pollution factor to Concentration change rate during time period (%);

[0095] ---j pollution factor t i The average rate of change of concentration values ​​monitored for n consecutive times after the concentration value at time (%);

[0096] Based on the PM2.5 minute concentration data of air quality monitoring at each automatic air quality monitoring station, the PM2.5 concentration data of Lianhua Industrial Zone, Hecun Town and People's Hospital from 8:00 to 8:20 All are greater than the set threshold of 5.0%. Therefore, the above three stations will initiate an inflection point warning for increasing PM2.5 pollution concentration.

[0097] (3) Pollution transmission warning

[0098] The People's Hospital site is one of the two provincial air quality monitoring stations in Jiangshan City. At 8:00 on June 9, the dominant wind direction was southwesterly with a wind speed of 2.5-4m / s. The People's Hospital site was taken as the current site A, and the concentration change rate between sites was compared with the pollution factor PM2.5 of each air quality automatic monitoring station B in the upwind direction (southwest direction). The concentration change rate between sites was calculated by the following formula:

[0099]

[0100]

[0101] Where:

[0102] --- The change rate of pollution factor concentration j between upwind stations at the moment (%);

[0103] ---The concentration of pollution factor j at the current air quality automatic monitoring station A;

[0104] ---The concentration of pollution factor j at the adjacent automatic air quality monitoring station B upwind;

[0105] ---Pollution factor j between upwind stations t i The average change rate of the concentration values ​​monitored m times continuously after time (%);

[0106] when , , If both are greater than the set threshold, a pollution transmission warning is initiated.

[0107] According to calculations, the PM2.5 minute concentrations at the People's Hospital Station and the Hecun Town Station were both greater than the threshold of 30ug / m3 during the period from 8:00 to 8:20. It is 23.2%, which is greater than the set threshold of 10%. Therefore, the PM2.5 pollution transmission risk warning for the People's Hospital Station in Hecun Town is activated.

[0108] Table 1 PM2.5 monitoring data and analysis and warning results of air stations

[0109] Step 5: Based on the warning results of S4, compare the pollutant concentrations between the automatic air quality monitoring stations during the high-value warning period of the site pollution, and determine the direction and boundaries of the warning control area based on the wind direction, wind speed, terrain characteristics of the target area and the distribution characteristics of pollution sources;

[0110] When the wind speed v is large, the wind direction is θ w , taking the warning site as the origin, setting the fan-shaped expansion warning angle θ, with θ w ±θ forms a sector area with a central angle of θ′; select other automatic air quality monitoring stations located in the aforementioned sector area, when the concentration of pollutant j at the station is less than the concentration of pollutant j at the warning station, and take the distance R between the automatic air quality station and the warning station with the smallest distance as the radius of the sector, the scope of the warning control area is formed ( Figure 2 The fan-shaped expansion warning angle θ can be set in combination with wind speed, terrain characteristics of the target area and distribution characteristics of pollution sources.

[0111] Based on the PM2.5 degree monitoring data and meteorological factor monitoring data of Jiangshan City Air Quality Automatic Monitoring Station, the scope of the directional warning control area was determined. At 8:00 on June 9, the dominant wind direction was southwesterly, and the wind direction θ w 225 。 , the wind speed is 2.5-4m / s. Considering that the overall terrain of Jiangshan City is high in the southeast and low in the northwest, and the central part is a river valley area, the annual dominant wind direction is northeast and southwest. The two provincial air quality automatic monitoring stations and most enterprises are in the northeast-southwest wind channel.

[0112] In order to further increase the accuracy of the early warning control area, this embodiment takes the early warning site People's Hospital Station as the origin and sets the fan-shaped expansion early warning angle θ to 35 。 , forming a central angle θ′=θ w ±θ=225 。 ±35 。 , i.e. 190 。 -260 。 The fan-shaped open area; other air quality automatic monitoring stations located in the aforementioned fan-shaped open area include Lianhuashan Industrial Zone, Xintangbian Town and Hecun Town. Since the average PM2.5 concentration at Hecun Town is greater than that at the People's Hospital, the average PM2.5 concentrations at Lianhuashan Industrial Zone and Xintangbian Town are both less than those at the People's Hospital, and the distance from Lianhuashan Industrial Zone to the People's Hospital is less than the distance from Xintangbian Town to the People's Hospital, the distance R from Lianhuashan Industrial Zone to the People's Hospital is taken as the radius of the fan to form the early warning control area ( Figure 3 ).

[0113] Step 6: Taking the early warning site People's Hospital site A as the starting point and the pollution source or air station B as the end point, the relative angle A' and the relative distance R' between points A and B are calculated by longitude and latitude to determine whether it is a warning control target falling within the determined early warning control area;

[0114] The plan for determining early warning control targets includes the following steps:

[0115] S601: Calculate the relative angle A′ between points A and B using the inverse tangent function (atan2) formula:

[0116] A′ =atan2((Bj-Aj),cos(Bw)*sin(Aw)-sin(Bw)* cos(Aw)* cos(Bj-Aj))

[0117] In the formula,

[0118] A---People's Hospital site;

[0119] B---Pollution source or automatic air quality monitoring station;

[0120] Aj---Longitude of point A; Aw: Latitude of point A; Bj: Longitude of point B; Bw: Latitude of point B;

[0121] A′---the azimuth of B to A, starting from true north at 0 degrees, and rotating clockwise from east to south to west;

[0122] Latitude and longitude use degrees, in the form of DDD.DDDDDD°;

[0123] Because the parameters of trigonometric functions are radians, we need to convert degrees to radians, that is, divide the longitude and latitude by 180 and multiply by π; A′ is the angle expressed in radians ranging from –π / 2 to +π / 2 (–pi / 2 to +pi / 2). Through the DEGREES function, we can get the angle expressed in degrees;

[0124] S602: Calculate the relative distance R′ between points A and B using the formula:

[0125] R′=r×arccos[sin(Aw)×sin(Bw)+cos(Aw)×cos(Bw)×cos(Aj−Bj)]

[0126] Where:

[0127] R′---the distance between points A and B (m);

[0128] r---the radius of the earth (usually the average radius is 637004m);

[0129] Aj and Bj are the longitudes of points A and B respectively; Aw and Bw are the latitudes of points A and B respectively.

[0130] S603: Table 2 shows the calculation results of the distance and angle between each pollution source and the air station relative to the People's Hospital site.

[0131] Taking the People's Hospital site as the origin, the distance from the Lianhuashan Industrial Zone site to the People's Hospital site is 13203 meters as the radius, and the central angle is 190 。 -260 。 Form the scope of early warning control area ( Figure 2 ). Furthermore, through the calculation results of the distance and angle between each pollution source and the air station relative to the People's Hospital site (see Table 2 for details), there are 7 pollution sources and 3 air stations with A′ in the range of 190 。 -260 。 When it is within the range and R′≤13203 meters, it is determined to be an early warning control target falling within the early warning control area.

[0132] Furthermore, according to the early warning and control targets screened in step 6, a corresponding early warning pollution source list is listed, and then the generated list is automatically sent to relevant personnel, including the person in charge of the pollution source unit, grid personnel, local person in charge and functional department personnel, to achieve rapid pollution warning, accurate identification of early warning and control targets, and accurate sending of control personnel.

[0133] Table 2 Results of determination of early warning control targets

[0134]

Claims

1. A method for accurate early warning and control of air pollution prevention and control based on regional monitoring data, characterized in that: The following steps are involved: S1: Grid division of the target area, determination of grid boundaries, grid numbers, grid names, names and contact numbers of grid leaders, and establishment of regional air pollution prevention and control responsible grids; S2: Obtain the list of pollution sources in the target area, the latitude and longitude coordinates of the automatic air quality monitoring stations and online monitoring points of pollution sources, the types of pollutants, and the information of the person in charge, and make an atmospheric monitoring map of the target area; S3: Obtain real-time data from automatic air quality monitoring stations and online pollution source monitoring points in the target area to perform basic processing on atmospheric pollutant concentration data and pollution source emission data, and perform concentration field assimilation in combination with wind field assimilation data; S4: Monitor and analyze the data from the automatic air quality monitoring station, and establish an atmospheric pollution factor comparison algorithm to initiate pollution warnings for different scenarios; S5: Based on the early warning activation situation, compare the pollutant concentrations between the automatic air quality monitoring stations during the high-value warning period of the site pollution, and determine the direction and boundaries of the early warning control area in combination with wind direction and wind speed; S6: Taking the early warning site as the origin, calculate the relative angle and relative distance of the pollution source through longitude and latitude, and select the early warning control targets that fall within the early warning control area determined by S5; S7: List the early warning pollution sources according to the early warning control targets selected in S6; S8: The generated list will be automatically sent to relevant personnel, including the person in charge of the pollution source unit, grid personnel, local person in charge and personnel of functional departments, so as to achieve accurate identification of early warning and control targets and accurate delivery of control personnel.

2. According to claim 1, a method for accurate early warning and control of air pollution prevention and control based on regional monitoring data is characterized in that: Monitor and analyze the data from automatic air quality monitoring stations, and establish an atmospheric pollution factor comparison algorithm for different pollution warning scenarios; The air quality automatic monitoring station data includes air quality monitoring data and meteorological factor monitoring data; the monitoring data can be minute value concentration or hourly value concentration; The air pollution factor comparison algorithm includes the following three types: (1) High-value warning of site pollution Based on the air quality monitoring data of the regional air quality automatic monitoring station, when the average concentration of a certain pollution factor j for n consecutive times ≥ the set threshold, the site pollution high value warning is activated; (2) Warning of turning point of increasing pollution concentration at the site The inflection point of pollution concentration increase is the average concentration change rate of pollution factors To express it, it is calculated by the following formula: Where: ---j pollution factor t i Time concentration (μg / m 3 ) ---j pollution factor t i+1 Time concentration (μg / m 3 ) ---j pollution factor t i to i+1 Concentration change rate during time period (%) ---j pollution factor t i The average change rate (%) of the concentration values ​​monitored for n consecutive times after the concentration value at the time; when is greater than the set threshold, and When the value is greater than or equal to the set threshold, the pollution concentration increase inflection point warning is activated; (3) Pollution transmission warning Combined with the real-time wind field conditions, the pollution factor concentrations of the current automatic air quality monitoring station A and the upwind automatic air quality monitoring station B are compared, as well as the change rate of the concentrations between stations in the same period; the change rate of the concentrations between upwind stations is calculated using the following formula: Where: ---t i The change rate of pollution factor concentration j between upwind stations at the moment (%); ---The concentration of pollution factor j at the current air quality automatic monitoring station A; ---The concentration of pollution factor j at the adjacent automatic air quality monitoring station B upwind; ---Pollution factor j between upwind stations t i The average change rate of the concentration values ​​monitored m times continuously after the time (%); when are greater than the set threshold, and When it is greater than the set threshold, the pollution transmission warning is activated.

3. According to claim 1, a method for accurate early warning and control of air pollution prevention and control based on regional monitoring data is characterized in that: Based on the early warning activation situation, the direction and boundaries of the early warning control area are determined by comparing the pollutant concentrations between the automatic air quality monitoring stations during the high-value warning period of the site pollution, and combining the wind direction and wind speed conditions; Furthermore, when the wind speed v is large, the wind direction is θ w , taking the warning site as the origin, setting the fan-shaped expansion warning angle θ, with θ w ±θ forms a sector area with a central angle of θ′, which is used as the direction of the early warning control area; select other automatic air quality monitoring stations located in the early warning control area, and take the distance R from the air quality automatic station to the early warning station with the smallest distance from the station to the early warning station as the radius of the sector, which is used as the boundary of the early warning control area to form the early warning control area; Furthermore, when the wind speed v is low and the weather is calm and stable, the fan-shaped expansion warning angle θ can be set to 180 degrees, and the warning range radius R can be customized according to the actual distribution of regional pollution sources; Furthermore, the fan-shaped expansion warning angle θ can be set in combination with the wind speed, terrain characteristics of the target area and distribution characteristics of pollution sources; for example, in calm weather, that is, when the wind speed is less than 1.0m / s, θ can be set to 180°; when the wind speed is 1-2m / s, θ can be set to 60°-90°; when the wind speed is 3-5m / s, θ can be set to 45°-60°; when the wind speed is greater than 5m / s, θ can be set to 30°-45°.

4. The method for accurate early warning and control of air pollution prevention and control based on regional monitoring data according to claim 1 is characterized in that: Taking the early warning site A as the starting point and the pollution source or air station B as the end point, the relative angle A′ and the relative distance R′ between points A and B are calculated by longitude and latitude to determine the early warning control target falling within the early warning control area; The plan for determining early warning control targets includes the following steps: S601: Calculate the relative angle A′ between points A and B using the inverse tangent function (atan2) formula: A′=atan2((Bj-Aj),cos(Bw)*sin(Aw)-sin(Bw)*cos(Aw)*cos(Bj-Aj)) where, A---early warning site; B---Pollution source or automatic air quality monitoring station; Aj---Longitude of point A; Aw: Latitude of point A; Bj: Longitude of point B; Bw: Latitude of point B; A′---the azimuth of B to A, starting from true north at 0 degrees, and rotating clockwise from east to south to west; Latitude and longitude use degrees, in the form of DDD.DDDDDD°; Because the parameters of trigonometric functions are radians, we need to convert degrees to radians, that is, divide the longitude and latitude by 180 and multiply by π; A' is the angle expressed in radians ranging from –π / 2 to +π / 2 (–pi / 2 to +pi / 2); the DEGREES function can be used to get the angle expressed in degrees; S602: Calculate the relative distance R′ between points A and B using the formula: R′=r×arccos[sin(Aw)×sin(Bw)+cos(Aw)×cos(Bw)×cos(Aj-Bj)] Where: R′---the distance between points A and B (km); r---the radius of the earth (usually the average radius is taken, which is about 6371km); Aj and Bj are the longitudes of points A and B respectively; Aw and Bw are the latitudes of points A and B respectively; S603: When A′ is at θ w When it is within the range of ±θ and R′≤R, it is determined to be an early warning control target falling within the scope of the early warning control area.

5. The method for accurate early warning and control of air pollution prevention and control based on regional monitoring data according to claim 1 is characterized in that: The air pollution factors include PM 2.5 、PM 10 , SO2, NO2, O3 and CO; the meteorological factors include wind speed, wind direction, temperature, air pressure and relative humidity.

6. The method for accurate early warning and control of air pollution prevention and control based on regional monitoring data according to claim 2 is characterized in that: The above air pollution factors can be compared with PM 2.5 、PM 10 , SO2, NO2, O3 and CO.

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