CN115950797A - Pollutant tracing method and system - Google Patents
Pollutant tracing method and system Download PDFInfo
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Abstract
The disclosure relates to a method and a system for tracing a pollutant source, which relate to the technical field of environmental protection, and the method comprises the following steps: the method comprises the steps of obtaining pollutant data of each monitoring area, wherein the pollutant data comprise first particle size distribution of first particles of the monitoring area, determining second particle size distribution of second particles of an abnormal monitoring area according to the pollutant data and area information corresponding to each monitoring area, and determining the position of a pollution source, the type of the pollution source and the pollution contribution rate of each pollution source to the abnormal monitoring area according to the second particle size distribution. This is disclosed through the regional information that the first particle size distribution of every monitoring area and every monitoring area correspond, restores out the second particle size distribution of original particulate matter to tracing to the source through the second particle size distribution, can avoid like this particulate matter dilution in the atmosphere, nucleation, condensation, a series of processes such as evaporation and deposit to the influence that the pollutant traced to the source, thereby improve the accuracy that the pollutant traced to the source.
Description
Technical Field
The disclosure relates to the technical field of environmental protection, in particular to a pollutant tracing method and system.
Background
With the rapid development of economy in China, more and more air pollutants (including particulate matters and gaseous pollutants) are emitted from various pollution sources, so that the situation of air pollution is more severe. Atmospheric pollutants emitted by the pollution source are transported in the atmosphere, and influence is caused on the atmospheric environment of the area where the pollution source is located and the area around the pollution source. Tracing the atmospheric pollutants (namely determining pollution sources from which the atmospheric pollutants come, the position of each pollution source and the contribution rate of each pollution source to the atmospheric pollutants) is an important research problem of atmospheric pollution prevention and control, and has important guiding significance for improving scientificity, rationality and pertinence of the atmospheric pollution prevention and control work.
At present, the atmospheric pollutants are traced mainly through an atmospheric pollution source analysis technology. The atmospheric pollutant source analysis technology is a technology for carrying out qualitative or quantitative research on a particulate matter source in the atmosphere. The existing atmospheric pollutant source analysis technology does not consider a series of processes such as dilution, nucleation, condensation, evaporation and deposition of particulate matters in the atmosphere, which can result in low accuracy of tracing the atmospheric pollutants.
Disclosure of Invention
The purpose of the present disclosure is to provide a pollutant tracing method and system, which are used to solve the problem of low accuracy of tracing atmospheric pollutants.
According to a first aspect of the embodiments of the present disclosure, there is provided a pollutant tracing method, the method including:
acquiring pollutant data of each monitoring area; the contaminant data comprises a first particle size distribution of first particles of the monitored area, the first particle size distribution being indicative of a target parameter of the first particles contained within a range of different particle sizes measured in the monitored area;
determining second particle size distribution of second particles in the abnormal monitoring area according to the pollutant data and area information corresponding to each monitoring area; the regional information comprises pollution states, meteorological data and geographic environment data; the abnormal monitoring areas are monitoring areas with abnormal pollutant data in the plurality of monitoring areas, and the second particulate matters are original particulate matters which are directly emitted by pollution sources and have no characteristic change;
and determining the position of the pollution source, the type of the pollution source and the pollution contribution rate of each pollution source to the abnormal monitoring area according to the second particle size distribution.
Optionally, the determining a second particle size distribution of second particles in an abnormal monitoring area according to the pollutant data and the area information corresponding to each monitoring area includes:
determining a third particle size distribution of third particles according to the first particle size distribution and the regional information;
the third particulate matters are obtained by filtering fourth particulate matters corresponding to each normal monitoring area from the first particulate matters in the abnormal monitoring area; the normal monitoring area is a monitoring area except the abnormal monitoring area in the plurality of monitoring areas, and the fourth particulate matters are particulate matters diffused from the normal monitoring area to the abnormal monitoring area;
and determining the second particle size distribution through a pre-trained particle size reduction model according to the third particle size distribution and the region information corresponding to the abnormal monitoring region.
Optionally, the determining a third particle size distribution of third particles according to the first particle size distribution and the region information includes:
according to the area information corresponding to each monitoring area, simulating the transmission track of the first particulate matters in the monitoring area through a track simulation model trained in advance to obtain a simulated transmission track corresponding to the monitoring area;
determining fourth particle size distribution of fourth particles corresponding to the normal monitoring area according to the first particle size distribution of each normal monitoring area and the simulated transmission track corresponding to the normal monitoring area;
and determining the third particle size distribution according to the first particle size distribution and the fourth particle size distribution of the abnormality monitoring area.
Optionally, the determining, according to the first particle size distribution of each normal monitoring region and the simulated transmission trajectory corresponding to the normal monitoring region, a fourth particle size distribution of fourth particles corresponding to the normal monitoring region includes:
determining a particulate matter diffusion parameter corresponding to each normal monitoring area according to the area information corresponding to each normal monitoring area and the simulation transmission track corresponding to the normal monitoring area;
and determining a fourth particle size distribution corresponding to the normal monitoring area according to the first particle size distribution of each normal monitoring area and the particulate diffusion parameter corresponding to the normal monitoring area.
Optionally, the determining the third particle size distribution according to the first particle size distribution and the fourth particle size distribution of the anomaly monitoring area includes:
and for each particle size range, subtracting the target parameter of the first particulate matter contained in the particle size range represented by the first particle size distribution of the abnormal monitoring area from the target parameter of the fourth particulate matter contained in the particle size range represented by the fourth particle size distribution corresponding to each normal monitoring area, so as to obtain the target parameter of the third particulate matter contained in the particle size range.
Optionally, the number of the trajectory simulation models is multiple; according to the area information corresponding to each monitoring area, the transmission track of the first particulate matter in the monitoring area is simulated through a track simulation model trained in advance, and the simulated transmission track corresponding to the monitoring area is obtained, and the method comprises the following steps:
according to the first particle size distribution of each monitoring area, determining a target track simulation model corresponding to the monitoring area from the plurality of track simulation models;
and determining a simulated transmission track corresponding to each monitoring area through a target track simulation model corresponding to the monitoring area according to the area information corresponding to each monitoring area.
Optionally, the determining, according to the second particle size distribution, a pollution source position of the pollution source, a pollution source type of the pollution source, and a pollution contribution rate of each pollution source to the abnormal monitoring area includes:
and determining the position of the pollution source, the type of the pollution source and the pollution contribution rate through a pre-trained pollution tracing model according to the second particle size distribution and the simulated transmission track corresponding to the abnormal monitoring area.
Optionally, the pollutant data further comprises pollutant parameters of gaseous pollutants of the monitoring area; determining the position of the pollution source, the type of the pollution source and the pollution contribution rate through a pre-trained pollution tracing model according to the second particle size distribution and the simulated transmission track corresponding to the abnormal monitoring area, wherein the determining comprises the following steps:
determining a first degree of correlation between the second particulate matter and the gaseous pollutant of the abnormal monitoring area according to the second particle size distribution of the abnormal monitoring area and the pollutant parameter of the gaseous pollutant of the abnormal monitoring area;
and determining the position of the pollution source, the type of the pollution source and the pollution contribution rate through the pollution tracing model according to the second particle size distribution, the simulated transmission track corresponding to the abnormal monitoring area and the first correlation.
According to a second aspect of the embodiments of the present disclosure, there is provided a pollutant tracing system, the system comprising: the system comprises pollutant monitoring equipment and a control unit, wherein the pollutant monitoring equipment is connected with the control unit;
the pollutant monitoring device is used for acquiring pollutant data of a monitoring area, wherein the pollutant data comprises a first particle size distribution of first particles of the monitoring area and pollutant parameters of gaseous pollutants of the monitoring area;
the control unit is adapted to perform the steps of the method of any of the first aspect above;
optionally, the pollutant monitoring device comprises a particle size classification unit, a particulate matter measuring unit and a gaseous pollutant measuring unit;
the particle size grading unit is connected with the particle measuring unit, and the particle measuring unit and the gaseous pollutant measuring unit are respectively connected with the control unit;
the particle size grading unit is used for carrying out particle size grading on the first particles in the monitoring area;
the particle measurement unit is used for measuring target parameters of first particles contained in different particle size ranges in the monitoring area after the first particles in the monitoring area are subjected to particle size classification, so as to obtain first particle size distribution of the first particles in the monitoring area;
the gaseous pollutant measuring unit is used for measuring pollutant parameters of the gaseous pollutants in the monitoring area.
Through the technical scheme, the pollutant tracing method provided by the embodiment of the disclosure firstly obtains pollutant data of each monitoring area, and determines second particle size distribution of second particles of an abnormal monitoring area according to the pollutant data and area information corresponding to each monitoring area, wherein the pollutant data comprises the first particle size distribution of the first particles of the monitoring area, the area information comprises pollution state, meteorological data and geographic environment data, the second particles are original particles which are directly emitted by a pollution source and have no characteristic change, and then according to the second particle size distribution, the position of the pollution source, the type of the pollution source and the pollution contribution rate of each pollution source to the abnormal monitoring area are determined. This is disclosed through the regional information that the first particle size distribution of the first particulate matter of every monitoring area and every monitoring area correspond, it directly discharges out to restore the pollution source, the second particle size distribution of the original particulate matter that does not take place characteristic change to trace to the source through the second particle size distribution, can avoid like this particulate matter dilution in the atmosphere, nucleation, condensation, condense, a series of processes such as evaporation and deposit to the influence that the pollutant traced to the source, thereby improve the accuracy that the pollutant traced to the source.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow diagram illustrating a contaminant traceability method in accordance with an exemplary embodiment;
FIG. 2 is a flow chart illustrating one step 102 according to the embodiment shown in FIG. 1;
FIG. 3 is a flow chart illustrating one step 103 according to the embodiment shown in FIG. 1;
FIG. 4 is a block diagram illustrating a contaminant traceability system, according to an exemplary embodiment.
Detailed Description
The following detailed description of the embodiments of the disclosure refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
The disclosure provides a method and a system for tracing a pollutant source, which specifically comprise the following steps:
FIG. 1 is a flow chart illustrating a method of tracing contaminants according to an exemplary embodiment. As shown in fig. 1, the method may comprise the steps of:
And 102, determining a second particle size distribution of second particles in the abnormal monitoring area according to the pollutant data and the area information corresponding to each monitoring area. The regional information includes pollution state, meteorological data and geographical environmental data, and the unusual monitoring zone exists unusual monitoring area for pollutant data in a plurality of monitoring areas, and the second particulate matter is the pollution sources directly discharges out, does not take place the original particulate matter of characteristic change.
And 103, determining the position of the pollution source, the type of the pollution source and the pollution contribution rate of each pollution source to the abnormal monitoring area according to the second particle size distribution.
For example, different types of pollution sources have different emission characteristics, and meanwhile, the generation mechanisms of the particulate matters emitted by the various pollution sources are different (for example, the types of fuels used for generating the particulate matters and the combustion modes of the fuels are different), which causes the particulate matters emitted by the various pollution sources to have differences in the generation modes, the individual forms, the chemical compositions and the gasification and condensation processes, thereby affecting the emission characteristics of the various pollution sources and further causing the particle size distribution characteristics of the particulate matters emitted by the different types of pollution sources to be different. For example, the cumulative percentage of the number concentration of the particles discharged by a traffic pollution source (such as an automobile) in a nuclear mode (particles with the particle diameter of 0.02 to 0.12um) is about 90%, and the cumulative percentage in an accumulation mode (particles with the particle diameter of 0.12 to 1.96um) is less than 10%. While the cumulative percentage of particulate matter emitted by industrial pollution sources (e.g., coal fired power plants) is about 76% in the nuclear mode and greater than 20% in the cumulative mode. The cumulative percentage of the mass concentration of the particulate matters discharged by the traffic pollution sources in the accumulation mode is about 42 percent, and the cumulative percentage of the particulate matters discharged by the traffic pollution sources in the coarse particle state (particles with the particle size of 1.96-8.15um) is about 55 percent. The accumulated percentage of the mass concentration of the particulate matters discharged by the industrial pollution source in the accumulation mode is about 30 percent, and the accumulated percentage in the coarse particle state is about 70 percent. It can be seen that the particle size distribution of the particulate matter emitted from the industrial emission source is characterized by the concentration of the particulate matter at a larger particle size, while the particle size distribution of the particulate matter emitted from the traffic pollution source is characterized by the concentration of the particulate matter at a smaller particle size. That is, the particle size distribution characteristic of the particulate matter emitted by the pollution source is correlated to the pollution source type of the pollution source. Therefore, the particle size distribution characteristics of the particles which affect the region and are discharged by each pollution source can be reduced according to the particle size distribution characteristics of the particles in the region, and then the region is subjected to pollutant tracing.
Specifically, at least one monitoring point can be selected in each monitoring area needing to monitor the atmospheric pollutants, a pollutant monitoring device is arranged at each monitoring point, and pollutant data of the monitoring area is obtained through the pollutant monitoring device arranged in each monitoring area. The pollutant data may comprise, among other things, a first particle size distribution of first particles in the monitored area, which may be understood as particles present in the atmosphere of the currently monitored area, the first particle size distribution being used to characterize a target parameter (which may be, for example, the number or mass of particles contained) of the first particles contained in a different particle size range currently measured in the monitored area.
Secondly, according to the pollutant data of each monitoring area, an abnormal monitoring area can be determined from a plurality of monitoring areas (the abnormal monitoring area can be understood as a monitoring area with serious atmospheric pollution). For example, when the target parameter is the number of contained particulate matter, a corresponding preset number range may be set in advance for each particle size range. And then, judging each monitoring area, and if the number of the first particulate matters contained in the first particulate matters in the monitoring area in a certain particle size range is not in a preset number range corresponding to the particle size range, determining the monitoring area as an abnormal monitoring area.
The first particulate matters in the monitoring area are actually second particulate matters emitted by the pollution source (the second particulate matters are original particulate matters directly emitted by the pollution source without characteristic change), and are obtained by a series of processes of dilution, nucleation, condensation, evaporation, deposition and the like in the atmosphere. That is, the first particle size distribution of the first particles in the monitoring area cannot actually visually and accurately reflect the particle size distribution characteristics of the particles emitted from the pollution source affecting the monitoring area. The processes of dilution, nucleation, condensation, evaporation, deposition and the like of the particles in the atmosphere can be influenced by the pollution state, meteorological data and geographic environment data corresponding to the region where the particles are located, and further the particle size distribution of the particles in the region is influenced.
Therefore, in order to more accurately trace the source of the pollutants in the abnormal monitoring area, after the abnormal monitoring area is determined, the second particle size distribution of the second particles in the abnormal monitoring area can be restored through a pre-trained particle size restoration model according to the first particle size distribution of the first particles in each monitoring area and the area information (including the pollution state, meteorological data and geographic environment data) corresponding to each monitoring area (the second particle size distribution is used for representing target parameters of the second particles contained in different particle size ranges, and can accurately reflect the particle size distribution characteristics of the particles emitted by the pollution source). The pollution state is used to characterize the atmospheric pollution level (for example, it can be classified as heavy pollution, medium pollution and light pollution) of the monitored area, the meteorological data can include the temperature, humidity, wind speed, wind direction, solar radiation intensity and atmospheric pressure of the monitored area, and the geographic environmental data can include the location, terrain and environment of the monitored area.
Finally, according to the second particle size distribution of the second particles in the abnormal monitoring area, the pollutant tracing of the abnormal monitoring area can be carried out through a pre-trained pollution tracing model, so that the position of the pollution source, the type of the pollution source and the pollution contribution rate of each pollution source to the abnormal monitoring area can be determined. The pollution tracing model can be a GRNN (generalized regression Neural Network, chinese) model, and the pollution source types can be natural pollution sources, industrial pollution sources, living pollution sources, traffic pollution sources (such as motor vehicle emission, airplane emission, railway emission and marine transportation) and the like.
Further, the way to train the pollution tracing model may be: firstly, a plurality of designated areas (the designated areas are areas with serious atmospheric pollution) are selected, and at least one known pollution source corresponding to the designated areas is determined. Then, for each designated area, a first training particle size distribution of original particulate matters, which are directly emitted by all known pollution sources corresponding to the designated area and have no characteristic change, is obtained, and a training pollution source position of each known pollution source corresponding to the designated area, a training pollution source type of each known pollution source, and a training pollution contribution rate of each pollution source to the designated area are obtained. Then, the first training particle size distribution of the known pollution source corresponding to each designated area can be used as the input of a first preset model (the preset model is a GRNN model), and the position of the training pollution source, the type of the training pollution source and the contribution rate of the training pollution source corresponding to the designated area are used as the output of the first preset model to train the first preset model, so as to obtain a pollution tracing model.
It should be noted that, this disclosure can realize the accurate management and control to the atmospheric pollution source through carrying out the pollutant to unusual monitoring area to the better administers atmospheric pollution, improves scientific, rationality and the pertinence of atmospheric pollution prevention and cure work. In addition, the method does not require that the chemical composition of the atmospheric pollutants discharged by the pollution source is relatively stable and no obvious effect exists among chemical components, and even on the premise that the atmospheric pollutants discharged by the pollution source are very complex, the pollution source can be accurately traced.
To sum up, the pollutant tracing method provided by the embodiment of the disclosure first obtains pollutant data of each monitoring area, and determines second particle size distribution of second particles of an abnormal monitoring area according to the pollutant data and area information corresponding to each monitoring area, wherein the pollutant data includes first particle size distribution of first particles of the monitoring area, the area information includes pollution state, meteorological data and geographic environment data, the second particles are original particles which are directly emitted by a pollution source and have no characteristic change, and then according to the second particle size distribution, a pollution source position of the pollution source, a pollution source type of the pollution source and a pollution contribution rate of each pollution source to the abnormal monitoring area are determined. This is disclosed through the regional information that first particle size distribution of the first particulate matter of every monitoring area and every monitoring area correspond, it directly discharges out to reduce out the pollution source, the second particle size distribution of the original particulate matter that does not take place characteristic change to carry out the pollutant through second particle size distribution and trace to the source, can avoid like this the dilution of particulate matter in the atmosphere, nucleation, condensation, condense, a series of processes such as evaporation and deposit to the influence that the pollutant traced to the source, thereby improve the accuracy that the pollutant traced to the source.
Fig. 2 is a flow chart illustrating one step 102 according to the embodiment shown in fig. 1. As shown in fig. 2, step 102 may include the steps of:
The third particulate matters are obtained by filtering fourth particulate matters corresponding to each normal monitoring area from the first particulate matters in the abnormal monitoring area. The normal monitoring zone is the monitoring zone in a plurality of monitoring zones except for unusual monitoring zone, and the fourth particulate matter is the particulate matter that spreads to unusual monitoring zone by normal monitoring zone.
For example, after pollutant data of each monitoring area is acquired, according to area information corresponding to each monitoring area, a transmission track of the first particulate matter in the monitoring area is simulated through a pre-trained track simulation model, so that a simulated transmission track corresponding to the monitoring area is obtained. The Trajectory simulation Model may adopt a diffusion Model, such as HYSPLIT (English: hybrid Single Particle Lagrangian Integrated Trajectory Model, chinese: mixed Single Particle Lagrange synthetic Trajectory Model). Then, a fourth particle size distribution of fourth particles corresponding to each normal monitoring area (the normal monitoring area is an area with light atmospheric pollution) can be determined according to the first particle size distribution of the normal monitoring area and the simulated transmission trajectory corresponding to the normal monitoring area (the fourth particles are particles diffused from the normal monitoring area to the abnormal monitoring area).
The manner of determining the fourth particle size distribution of the fourth particulate matter corresponding to the normal monitoring region may be: the particle diffusion parameter corresponding to each normal monitoring region may be determined according to the region information corresponding to each normal monitoring region and the simulated transmission trajectory corresponding to the normal monitoring region (the particle diffusion parameter is used to characterize the target parameter of the fourth particles included in different particle size ranges). For example, according to the track length of the simulated transmission track corresponding to each normal monitoring region and the region information corresponding to the normal monitoring region, the particulate diffusion parameter of the fourth particulate matter corresponding to the normal monitoring region can be determined by using the preset corresponding relationship among the track length, the region information and the particulate diffusion parameter. And then determining a fourth particle size distribution corresponding to the normal monitoring area according to the first particle size distribution of each normal monitoring area and the particulate diffusion parameter corresponding to the normal monitoring area. For example, for each particle size range, the product of the target parameter of the first particulate matter contained in the particle size range and the particulate matter diffusion parameter corresponding to the normal monitoring region, which is characterized by the first particle size distribution of each normal monitoring region, and the target parameter of the fourth particulate matter contained in the particle size range can be used as the target parameter of the fourth particulate matter contained in the particle size range, so as to obtain the fourth particle size distribution of the fourth particulate matter corresponding to the normal monitoring region.
Finally, a third particle size distribution can be determined from the first particle size distribution and the fourth particle size distribution of the anomaly monitoring region, wherein the third particle size distribution is used to characterize target parameters of third particles contained in different particle size ranges. For example, the target parameter of the first particulate matter contained in the particle size range and characterized by the first particle size distribution of the abnormal monitoring region may be subtracted from the target parameter of the fourth particulate matter contained in the particle size range and characterized by the fourth particle size distribution corresponding to each normal monitoring region, so as to obtain the target parameter of the third particulate matter contained in the particle size range, and thus determine the third particle size distribution of the third particulate matter.
And 1022, determining a second particle size distribution through a pre-trained particle size reduction model according to the third particle size distribution and the regional information corresponding to the abnormal monitoring region.
In one scenario, after the third particle size distribution of the third particulate matter is determined, the third particle size distribution and the region information corresponding to the abnormal monitoring region may be input into a pre-trained particle size reduction model, so as to obtain the second particle size distribution of the second particulate matter in the abnormal monitoring region output by the particle size reduction model. Wherein, the particle size reduction model can be a BP (Back propagation) model or a GRNN model. The way to train the particle size reduction model may be, for example: the method comprises the steps of selecting a plurality of known pollution sources of each designated area (the designated area is an area with serious atmospheric pollution), obtaining second training particle size distribution of original particles which are directly emitted by the known pollution sources and have no characteristic change, and obtaining area training particle size distribution and training area information (namely, atmospheric pollution degree, temperature, humidity, wind speed, wind direction, solar radiation intensity, atmospheric pressure, position, terrain, environment and the like of the designated area) of the particles of the designated area. Then, the region training particle size distribution and the training region information of each designated region can be sequentially used as the input of a second preset model (the preset model is a GRNN model or a BP model), the second training particle size distribution of a plurality of known pollution sources of the designated region is used as the output of the second preset model, and the second preset model is trained to obtain a particle size reduction model.
In another scenario, after the third particle size distribution of the third particulate matter is determined, the weight corresponding to each type of parameter (i.e., the type of parameters such as atmospheric pollution degree, temperature, humidity, wind speed, wind direction, solar radiation intensity, atmospheric pressure, location, terrain, environment, etc. of the area) in the area information may be determined in advance according to AHP (english: analytical hierarchy Process, chinese: analytic hierarchy Process), and meanwhile, a corresponding reference parameter may be set for each type of parameter. Then, for each type of parameter, the ratio of the type of parameter in the area information to the reference parameter corresponding to the type of parameter (the ratio can be performed after the parameters such as the atmospheric pollution degree, the position, the terrain, the environment and the like are digitized) is used as the target ratio corresponding to the type of parameter. Then, for each particle size range, the weighting summation is performed according to the target ratio corresponding to each type of parameter and the weight corresponding to each type of parameter for the particle size range, so as to obtain the particle size reduction coefficient corresponding to the particle size range. Finally, for each particle size range, the product of the target parameter of the third particulate matter contained in the particle size range and represented by the third particle size distribution and the particle size reduction coefficient corresponding to the particle size range is used as the target parameter of the second particulate matter contained in the particle size range, so as to obtain the second particle size distribution of the abnormal monitoring area.
It should be noted that the more accurate second particle size distribution can be obtained by combining the two ways of determining the second particle size distribution through the particle size reduction model and calculating the particle size reduction coefficients corresponding to different particle size ranges. For example, the second particle size distributions may be determined by the two ways, and the second particle size distributions determined by the two ways are weighted and summed according to the preset weight corresponding to each way, so as to obtain a final second particle size distribution.
Optionally, the trajectory simulation model is multiple. According to the area information corresponding to each monitoring area, simulating the transmission track of the first particulate matter in the monitoring area through a track simulation model trained in advance to obtain a simulated transmission track corresponding to the monitoring area, wherein the method comprises the following steps:
step a), determining a target track simulation model corresponding to each monitoring area from a plurality of track simulation models according to the first particle size distribution of each monitoring area.
And b), according to the area information corresponding to each monitoring area, determining the simulated transmission track corresponding to the monitoring area through the target track simulation model corresponding to the monitoring area.
Further, in order to more accurately simulate the transmission track of the first particulate matter in the monitoring area, a plurality of track simulation models can be respectively established according to the particle size distribution of the particulate matter in different areas, and each track simulation model corresponds to one particle size distribution. After the pollutant data of each monitoring area is obtained, correlation analysis can be performed on the first particle size distribution of the first particles in each monitoring area and the particle size distribution corresponding to each track simulation model for each monitoring area, so that a second correlation degree of the first particle size distribution of the first particles in each monitoring area and the particle size distribution corresponding to each track simulation model is obtained, and the track simulation model with the highest second correlation degree is used as a target track simulation model corresponding to each monitoring area. Then, according to the area information corresponding to each monitoring area, the simulation transmission track corresponding to the monitoring area can be determined through the target track simulation model corresponding to the monitoring area.
Optionally, step 103 may be implemented by:
and determining the position of the pollution source, the type of the pollution source and the pollution contribution rate through a pre-trained pollution tracing model according to the second particle size distribution and the simulated transmission track corresponding to the abnormal monitoring area.
For example, the simulated transmission track corresponding to the abnormal monitoring area can be introduced into the pollution tracing model, so that the pollution tracing model considers the transmission track of the particulate matter in the abnormal monitoring area in the process of tracing the pollutant, and the pollutant tracing can be performed on the abnormal monitoring area more accurately. Specifically, after the second particle size distribution of the second particulate matter in the abnormal monitoring region is determined, the second particle size distribution of the second particulate matter in the abnormal monitoring region and the simulated transmission trajectory corresponding to the abnormal monitoring region can be input into the pollution traceability model, so that the pollution source position, the pollution source type and the pollution contribution rate output by the pollution traceability model are obtained.
Further, the pollutant data can also include pollutant parameters of gaseous pollutants (e.g., CO, O3, nitrogen oxides, hydrocarbons, sulfur oxides, etc.) of the monitored area. Wherein the pollutant parameter can be the concentration of the gaseous pollutant measured by a pollutant monitoring device arranged in each monitored area by adopting an electrochemical or optical method.
As shown in fig. 3, step 103 may include the steps of:
And 1032, determining the position of the pollution source, the type of the pollution source and the pollution contribution rate through a pollution tracing model according to the second particle size distribution, the simulated transmission track corresponding to the abnormal monitoring area and the first correlation.
For example, in practical situations, there is often a certain correlation between gaseous pollutants emitted by a pollutant source of the same type and particulate matter emitted by a pollutant source of that type. For example, the variation law of the number (or the number concentration) of the particulate matters emitted by the same type of pollution source is generally similar to the variation law of the concentration of the gaseous pollutants emitted by the same type of pollution source (for example, the variation law of the concentration of the nitrogen oxides emitted by the traffic pollution source is similar to the variation law of the number concentration of the particulate matters emitted by the traffic pollution source). In order to further improve the accuracy of tracing the pollutant source of the abnormal monitoring area, the first correlation degree between the second particulate matters in the abnormal monitoring area and the gaseous pollutant in the abnormal monitoring area can be introduced into a pollution tracing model to trace the pollutant source.
For example, after determining the second particle size distribution of the second particulate matter in the abnormal monitoring region, the number concentration of the second particulate matter in the abnormal monitoring region (where the number concentration of the second particulate matter is the number concentration of the second particulate matter in all particle size ranges) may be determined according to the second particle size distribution of the second particulate matter in the abnormal monitoring region, and correlation analysis may be performed on the number concentration of the second particulate matter and the pollutant parameter of the gaseous pollutant in the abnormal monitoring region (e.g., to determine whether the change rule of the number concentration of the second particulate matter and the change rule of the gaseous pollutant concentration of the gaseous pollutant in the abnormal monitoring region are consistent) to obtain the first correlation. Then, the second particle size distribution, the simulated transmission trajectory corresponding to the abnormal monitoring area, and the first correlation may be used as input of the pollution tracing model to obtain a pollution source position, a pollution source type, and a pollution contribution rate output by the pollution tracing model.
The pollution tracing model can be trained in the following modes: firstly, a plurality of designated areas (the designated areas are areas with serious atmospheric pollution) are selected, and at least one known pollution source corresponding to each designated area is determined. Then, for each designated area, a first training particle size distribution of original particulate matters which are directly emitted by all known pollution sources and have no characteristic change and a training correlation between the original particulate matters which are directly emitted by all the known pollution sources and have no characteristic change and gaseous pollutants emitted by all the known pollution sources are obtained, and meanwhile, a training transmission track of the particulate matters in the designated area can be obtained, and a training pollution source position of each known pollution source, a training pollution source type of each known pollution source and a training pollution contribution rate of each pollution source to the designated area corresponding to the designated area can be obtained. And then, the first training particle size distribution, the training transmission track and the training correlation of the known pollution source corresponding to each designated area can be used as the input of a first preset model, and the position of the training pollution source, the type of the training pollution source and the contribution rate of the training pollution source corresponding to the designated area can be used as the output of the first preset model to train the first preset model so as to obtain a pollution traceability model.
To sum up, the pollutant tracing method provided by the embodiment of the present disclosure first obtains pollutant data of each monitoring area, and determines second particle size distribution of second particles of an abnormal monitoring area according to the pollutant data and area information corresponding to each monitoring area, where the pollutant data includes first particle size distribution of first particles of the monitoring area, the area information includes pollution state, meteorological data and geographic environment data, the second particles are original particles that are directly emitted by a pollution source and have no characteristic change, and then determines a pollution source location of the pollution source, a pollution source type of the pollution source, and a pollution contribution rate of each pollution source to the abnormal monitoring area according to the second particle size distribution. This is disclosed through the regional information that first particle size distribution of the first particulate matter of every monitoring area and every monitoring area correspond, it directly discharges out to reduce out the pollution source, the second particle size distribution of the original particulate matter that does not take place characteristic change to carry out the pollutant through second particle size distribution and trace to the source, can avoid like this the dilution of particulate matter in the atmosphere, nucleation, condensation, condense, a series of processes such as evaporation and deposit to the influence that the pollutant traced to the source, thereby improve the accuracy that the pollutant traced to the source.
FIG. 4 is a block diagram illustrating a contaminant traceability system, according to an exemplary embodiment. As shown in fig. 4, the contaminant traceability system 200 includes: a pollutant monitoring device 201 and a control unit 202, the pollutant monitoring device 201 being connected to the control unit 202.
The pollutant monitoring device 201 is for obtaining pollutant data for a monitored area, the pollutant data including a first particle size distribution of a first particulate matter of the monitored area and a pollutant parameter of a gaseous pollutant of the monitored area. The control unit 202 is configured to perform the steps of the tracing method for pollutants.
Therein, the contaminant monitoring device 201 comprises a particle size classification unit 2011, a particulate matter measurement unit 2012 and a gaseous contaminant measurement unit 2013. The particle size grading unit 2011 is connected with the particulate matter measuring unit 2012, and the particulate matter measuring unit 2012 and the gaseous pollutant measuring unit 2013 are respectively connected with the control unit 202.
A particle size classification unit 2011 is configured to perform particle size classification on the first particles in the monitoring region.
The particle measurement unit 2012 is configured to measure target parameters of the first particles included in different particle size ranges in the monitoring area after the first particles in the monitoring area are subjected to particle size classification, so as to obtain a first particle size distribution of the first particles in the monitoring area.
A gaseous pollutant measuring unit 2013 for measuring a pollutant parameter of the gaseous pollutant of the monitored area.
With respect to the pollutant tracing system 200 in the above embodiment, the specific manner in which the control unit 202 performs the operation has been described in detail in the above embodiment of the pollutant tracing method, and will not be described in detail here.
The preferred embodiments of the present disclosure are described in detail above with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details in the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (10)
1. A method for tracing a source of a contaminant, the method comprising:
acquiring pollutant data of each monitoring area; the contaminant data comprises a first particle size distribution of first particles in the monitored zone, the first particle size distribution being indicative of a target parameter of the first particles contained within different particle size ranges measured in the monitored zone;
determining a second particle size distribution of second particles in an abnormal monitoring area according to the pollutant data and area information corresponding to each monitoring area; the regional information comprises pollution states, meteorological data and geographic environment data; the abnormal monitoring areas are monitoring areas with abnormal pollutant data in the plurality of monitoring areas, and the second particulate matters are original particulate matters which are directly emitted by pollution sources and have no characteristic change;
and determining the position of the pollution source, the type of the pollution source and the pollution contribution rate of each pollution source to the abnormal monitoring area according to the second particle size distribution.
2. The pollutant tracing method of claim 1, wherein the determining a second particle size distribution of second particles in an abnormal monitoring area according to the pollutant data and area information corresponding to each monitoring area comprises:
determining a third particle size distribution of third particles based on the first particle size distribution and the region information;
the third particulate matters are obtained by filtering fourth particulate matters corresponding to each normal monitoring area from the first particulate matters in the abnormal monitoring area; the normal monitoring area is a monitoring area except the abnormal monitoring area in the plurality of monitoring areas, and the fourth particulate matters are particulate matters diffused from the normal monitoring area to the abnormal monitoring area;
and determining the second particle size distribution through a pre-trained particle size reduction model according to the third particle size distribution and the region information corresponding to the abnormal monitoring region.
3. A method as claimed in claim 2, wherein said determining a third particle size distribution of third particles from said first particle size distribution and said regional information comprises:
according to the area information corresponding to each monitoring area, simulating the transmission track of the first particulate matters in the monitoring area through a track simulation model trained in advance to obtain a simulated transmission track corresponding to the monitoring area;
determining fourth particle size distribution of fourth particles corresponding to each normal monitoring area according to the first particle size distribution of each normal monitoring area and the simulated transmission track corresponding to the normal monitoring area;
and determining the third particle size distribution according to the first particle size distribution and the fourth particle size distribution of the abnormality monitoring area.
4. The method of claim 3, wherein the determining the fourth particle size distribution of the fourth particulate matter corresponding to the normal monitoring area according to the first particle size distribution of each normal monitoring area and the simulated transmission trajectory corresponding to the normal monitoring area comprises:
determining a particulate matter diffusion parameter corresponding to the normal monitoring area according to the area information corresponding to each normal monitoring area and the simulated transmission track corresponding to the normal monitoring area;
and determining a fourth particle size distribution corresponding to the normal monitoring area according to the first particle size distribution of each normal monitoring area and the particulate diffusion parameter corresponding to the normal monitoring area.
5. The method of claim 3, wherein the determining the third particle size distribution from the first particle size distribution and the fourth particle size distribution of the anomaly monitoring area comprises:
and for each particle size range, subtracting the target parameter of the fourth particulate matter contained in the particle size range represented by the fourth particle size distribution corresponding to each normal monitoring area from the target parameter of the first particulate matter contained in the particle size range represented by the first particle size distribution of the abnormal monitoring area to obtain the target parameter of the third particulate matter contained in the particle size range.
6. The pollutant tracing method of claim 3, wherein the trajectory simulation model is a plurality of models; according to the area information corresponding to each monitoring area, simulating the transmission track of the first particulate matters in the monitoring area through a track simulation model trained in advance to obtain the simulated transmission track corresponding to the monitoring area, wherein the method comprises the following steps:
according to the first particle size distribution of each monitoring area, determining a target track simulation model corresponding to the monitoring area from the plurality of track simulation models;
and determining a simulated transmission track corresponding to each monitoring area through a target track simulation model corresponding to the monitoring area according to the area information corresponding to each monitoring area.
7. The method of claim 3, wherein the determining a source location of the pollution source, a type of the pollution source, and a pollution contribution rate of each pollution source to the anomaly monitoring area according to the second particle size distribution comprises:
and determining the position of the pollution source, the type of the pollution source and the pollution contribution rate through a pre-trained pollution tracing model according to the second particle size distribution and the simulated transmission track corresponding to the abnormal monitoring area.
8. The contaminant traceability method of claim 7, wherein the contaminant data further comprises a contaminant parameter of a gaseous contaminant of the monitoring area; determining the position of the pollution source, the type of the pollution source and the pollution contribution rate according to the second particle size distribution and the simulated transmission track corresponding to the abnormal monitoring area through a pre-trained pollution tracing model, wherein the determining comprises the following steps:
determining a first degree of correlation between the second particulate matter and the gaseous pollutant of the abnormal monitoring area according to the second particle size distribution of the abnormal monitoring area and the pollutant parameter of the gaseous pollutant of the abnormal monitoring area;
and determining the position of the pollution source, the type of the pollution source and the pollution contribution rate through the pollution tracing model according to the second particle size distribution, the simulated transmission track corresponding to the abnormal monitoring area and the first correlation.
9. A contaminant traceability system, the system comprising: the system comprises pollutant monitoring equipment and a control unit, wherein the pollutant monitoring equipment is connected with the control unit;
the pollutant monitoring device is used for acquiring pollutant data of a monitoring area, wherein the pollutant data comprises a first particle size distribution of first particles of the monitoring area and pollutant parameters of gaseous pollutants of the monitoring area;
the control unit is adapted to perform the steps of the method of any one of claims 1-8.
10. The pollutant traceability system of claim 9, wherein the pollutant monitoring device comprises a particle size classification unit, a particulate matter measurement unit and a gaseous pollutant measurement unit;
the particle size grading unit is connected with the particulate matter measuring unit, and the particulate matter measuring unit and the gaseous pollutant measuring unit are respectively connected with the control unit;
the particle size grading unit is used for carrying out particle size grading on the first particles in the monitoring area;
the particle measurement unit is used for measuring target parameters of first particles contained in different particle size ranges in the monitoring area after the first particles in the monitoring area are subjected to particle size classification, so as to obtain first particle size distribution of the first particles in the monitoring area;
the gaseous pollutant measuring unit is used for measuring pollutant parameters of the gaseous pollutants in the monitoring area.
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