CN116050649A - Atmospheric pollution tracing system and method based on Calpuff model - Google Patents
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Abstract
The invention relates to the field of atmospheric pollution tracing, and particularly discloses an atmospheric pollution tracing system and method based on a Calpuff model. The field end data acquisition equipment acquires the exhaust emission data of the pollution source on site; the pollution source on-line monitoring service end acquires the exhaust emission data acquired by all on-site end data acquisition equipment and stores the exhaust emission data in a unit time format; the traceability analysis terminal dynamically acquires the exhaust emission data of the pollution source in a specified time period, generates an exhaust emission list in unit time, simulates the air quality in the specified unit time based on the Calpuff model, and predicts the air quality and traceables the pollution source according to the simulation result. According to the invention, the emission data of the pollution source in the unit time period monitored in real time is dynamically manufactured into the pollution source emission list meeting the requirements of the Calpuff model, so that the data quality of the Calpuff air quality model can be improved, and accurate tracing is realized.
Description
Technical Field
The invention relates to the field of atmospheric pollution tracing, in particular to an atmospheric pollution tracing system and method based on a Calpuff model.
Background
The current ecological environment departments in various places increasingly want to be able to trace back to the specific reasons for exceeding the standard of pollutants in air monitoring stations controlled by certain countries, provinces and cities through a certain means. The Calpuff model is one of the existing air quality models, and has wide application in air quality simulation and tracing. The input of the pollution source emission list is an important factor for determining the quality of traceable data of the Calpuff model, and the method for manufacturing the hour emission list input by the Calpuff model in the industry mainly comprises the following steps:
1) A list of pollution sources from the university of bloom was used. The list is used in a certain level city with a relatively low resolution and is relatively old.
2) A pollution source list provided by the environmental protection department of the use place. The list is the total pollutant source emission amount of the last year, and is distributed to a certain hour of each day by using a SMOKE tool according to industry characteristics and experience values, if the pollutant source changes greatly, the list of the last year cannot truly reflect the current year emission condition, and the data quality such as the atmospheric pollutant concentration simulated by the Calpuff model is greatly reduced.
3) A pollution source emissions list of an industry is used. The method has the characteristics of high resolution and relatively stable, but the concentration of pollutants in the air quality is not in a linear relation, and the data quality of the Calpuff model can be influenced due to the lack of pollution source emission in other industries.
Disclosure of Invention
In order to solve the problems, the atmospheric pollution tracing system and method based on the Calpuff model are provided, and the pollution source emission list meeting the requirements of the Calpuff model is directly manufactured by directly monitoring emission data of a pollution source in real time in unit time.
In a first aspect, the present invention provides an atmospheric pollution tracing system based on a Calpuff model, including:
on-site data acquisition equipment: collecting the exhaust emission data of a pollution source on site;
pollution source on-line monitoring service end: acquiring exhaust emission data acquired by all field end data acquisition equipment, and storing the exhaust emission data in a unit time format;
and tracing analysis terminal: the pollution source online monitoring system is provided with a Calpuff model, waste gas emission data of a pollution source in a designated time period are dynamically obtained from a pollution source online monitoring server, a unit-time waste gas emission list is generated, the pollution source air quality is simulated by using the designated unit-time waste gas emission list based on the Calpuff model, and air quality prediction and pollution tracing are carried out according to simulation results.
Further, the exhaust emission data stored in the pollution source on-line monitoring server side comprises: particulate matter emission per unit time, nitrogen oxide emission per unit time, sulfur dioxide emission per unit time, VOCs emission per unit time, and smoke temperature and flow rate.
Further, the traceability analysis terminal obtains the exhaust emission data of the pollution source in a designated time period from the pollution source on-line monitoring server, and generates an exhaust emission list in unit time, which specifically comprises:
acquiring basic data of each pollution source in a monitoring range;
acquiring exhaust emission data of each pollution source in a monitoring range in unit time in a designated time period;
screening and filtering invalid data and fake data on the waste gas emission data of the pollution source;
species distribution is carried out on the particulate matters, the nitrogen oxides and the VOCs according to an industry emission experience library;
converting the exhaust emission data into a measurement unit required by a Calpuff model;
and generating an exhaust emission list in unit time according to the pollution source basic data and the processed unit data exhaust emission data.
Further, the pollution source base data includes: chimney number, longitude, latitude, chimney outlet inner diameter, chimney ground clearance height, chimney outlet temperature, chimney outlet speed, chimney flow rate, production status, industry.
In a second aspect, the present invention provides an atmospheric pollution tracing method based on Calpuff model, including the following steps:
collecting the exhaust emission data of a pollution source on site;
acquiring the collected exhaust emission data, and storing the exhaust emission data in the form of emission data of unit time;
dynamically acquiring exhaust emission data of a pollution source in a designated time period, and generating an exhaust emission list in unit time;
and simulating the air quality of the pollution source by using a unit-time exhaust emission list based on the Calpuff model, and carrying out pollution prediction and tracing according to a simulation result.
Further, the exhaust emission data includes: particulate matter emission per unit time, nitrogen oxide emission per unit time, sulfur dioxide emission per unit time, VOCs emission per unit time, and smoke temperature and flow rate.
Further, the method dynamically acquires the exhaust emission data of the pollution source in a designated time period, and generates an exhaust emission list in unit time, which specifically comprises the following steps:
acquiring basic data of each pollution source in a monitoring range;
acquiring exhaust emission data of each pollution source in a monitoring range in unit time in a designated time period;
screening and filtering invalid data and fake data on the waste gas emission data of the pollution source;
species distribution is carried out on the particulate matters, the nitrogen oxides and the VOCs according to an industry emission experience library;
converting the exhaust emission data into a measurement unit required by a Calpuff model;
and generating an exhaust emission list in unit time according to the pollution source basic data and the processed unit data exhaust emission data.
Further, the pollution source base data includes: chimney number, longitude, latitude, chimney outlet inner diameter, chimney ground clearance height, chimney outlet temperature, chimney outlet speed, chimney flow rate, production status, industry.
Compared with the prior art, the atmospheric pollution tracing system and method based on the Calpuff model provided by the invention have the following beneficial effects: the real-time exhaust emission data of the pollution source is directly collected by using the field end data collection equipment, a unit-time exhaust emission list is generated by the traceability analysis terminal according to the real-time data of the pollution source, and the air quality of the pollution source is simulated according to the real-time unit-time exhaust emission list, so that air quality prediction and pollution source traceability are carried out. The pollution source emission list meeting the requirements of the Calpuff model is directly manufactured from emission data of the pollution source in unit time monitored in real time, and the pollution source emission list has the characteristics of wide industry coverage range, high instantaneity and large controllable strength, can improve the data quality of the Calpuff air quality model, and realizes accurate tracing.
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For a clearer description of embodiments of the present application or of the prior art, the drawings that are used in the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description that follow are only some embodiments of the present application, and that other drawings may be obtained from these drawings by a person of ordinary skill in the art without inventive effort.
Fig. 1 is a schematic block diagram of an atmospheric pollution tracing system based on a Calpuff model according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of an atmospheric pollution tracing method based on a Calpuff model according to an embodiment of the present invention.
Fig. 3 is a schematic flow chart of step S3 in fig. 2 in some embodiments.
Detailed Description
In order to provide a better understanding of the present application, those skilled in the art will now make further details of the present application with reference to the drawings and detailed description. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
In the description of the present specification, the terms "comprising," "including," "having," "containing," and the like are open-ended terms, meaning including, but not limited to. Reference to the terms "one embodiment," "a particular embodiment," "some embodiments," "for example," etc., means that a particular feature, structure, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. The sequence of steps involved in the embodiments is used to schematically illustrate the practice of the present application, and is not limited thereto and may be appropriately adjusted as desired.
Fig. 1 is a schematic block diagram of an atmospheric pollution tracing system based on a Calpuff model according to an embodiment of the present invention, where, as shown in fig. 1, the system includes: the system comprises field terminal data acquisition equipment, a pollution source online monitoring server and a traceability analysis terminal.
On-site data acquisition equipment: and (5) carrying out field acquisition on the exhaust emission data of the pollution source.
Pollution source on-line monitoring service end: and acquiring the exhaust emission data acquired by the field end data acquisition equipment, and storing the exhaust emission data in the form of emission data of unit time.
And tracing analysis terminal: the pollution source online monitoring system is provided with a Calpuff model, acquires the exhaust emission data of the pollution source in a specified time period from a pollution source online monitoring server, generates a unit-time exhaust emission list, simulates the air quality of the pollution source by using the unit-time exhaust emission list based on the Calpuff model, and predicts and traces the pollution according to the simulation result.
It should be noted that, the field end data acquisition device acquires the exhaust emission data of the pollution source from a plurality of online monitoring terminals, and generally includes a particulate matter online monitoring terminal, an SO2 online monitoring terminal, a NOx online monitoring terminal, a VOCs online monitoring terminal, a smoke temperature online monitoring terminal, a flow rate online monitoring terminal, and the like, and of course, the exhaust emission data can also be acquired from other online monitoring terminals according to the acquisition requirements. Generally, an exhaust gas sampling device is installed at an exhaust gas sampling port, an on-line monitoring terminal is installed in a monitoring station room, sampling exhaust gas is conveyed into the monitoring station room by the exhaust gas sampling device, the sampling exhaust gas is analyzed and collected by the on-line monitoring terminal to obtain exhaust gas emission data, and then the on-site end data acquisition device acquires the exhaust gas emission data from each on-line monitoring terminal. Of course, a plurality of field end data acquisition devices can be provided, and each device acquires data from a corresponding online monitoring terminal.
The heavy point pollution source is used as the pollution source with the highest contribution ratio of pollutants in the air in the area and is the pollution source with the largest management and control force of an environmental protection department, based on the pollution source, the system can be applied to the exhaust gas monitoring of the heavy point pollution source when the system is implemented, firstly, a site-end data acquisition device and a pollution source online monitoring service end are installed on the heavy point pollution source, the site-end data acquisition device acquires the exhaust gas emission data of the heavy point pollution source on site, then the data are transmitted to the corresponding pollution source online monitoring service end, the pollution source online monitoring service end stores the exhaust gas emission data in unit time, and a tracing analysis terminal acquires the exhaust gas emission data of the heavy point pollution source in a designated time period from the pollution source online monitoring service end to generate an exhaust gas emission list in unit time, and pollution prediction and tracing are carried out according to the list.
According to the atmospheric pollution tracing system based on the Calpuff model, the real-time exhaust emission data of the pollution source is directly collected by using the field end data collection equipment, a unit-time exhaust emission list is generated by the tracing analysis terminal according to the real-time data of the pollution source, and the pollution source air quality is simulated according to the real-time unit-time exhaust emission list, so that pollution prediction and tracing are carried out. The pollution source emission list meeting the requirements of the Calpuff model is directly manufactured by the pollution source emission data in unit time monitored in real time, and the pollution source emission list has the characteristics of wide industry coverage range, high instantaneity and large controllable strength, can improve the data quality of the Calpuff air quality model, and realizes accurate tracing.
It should be noted that, a traceable analysis terminal communicates with the pollution source on-line monitoring service end of multiple heavy point pollution sources at the same time, so as to monitor the waste gas of the multiple heavy point pollution sources, and meanwhile, each heavy point pollution source has multiple monitoring stations, and each monitoring station is configured with a field end data acquisition device to acquire data, so that the traceable analysis terminal generates a list according to the data of the multiple monitoring stations of the multiple heavy point pollution sources.
The exhaust gas emitted by the heavy-point pollution source generally comprises particulate matters, nitrogen oxides, sulfur dioxide, VOCs (command organic matters) and the like, and correspondingly, the exhaust gas emission data stored at the on-line monitoring service end of the pollution source comprises: particulate matter emission per unit time, nitrogen oxide emission per unit time, sulfur dioxide emission per unit time, VOCs emission per unit time, and smoke temperature and flow rate.
The traceability analysis terminal obtains the exhaust emission data from each heavy point pollution source of the monitoring area, the exhaust emission data of the appointed time period is obtained according to the requirement, and a list is generated according to all the data of all the heavy point pollution sources. In some embodiments, the generation of the manifest is accomplished, in particular, by the following procedure.
1) Basic data of each pollution source in the monitoring range is acquired.
The basic data of a general pollution source include: chimney number, longitude, latitude, chimney exit inner diameter, chimney ground height, chimney exit temperature, chimney exit velocity (m/s), chimney flow velocity (m 3 S), production status, industry.
2) And acquiring exhaust emission data per unit time of a designated time period of each pollution source in the monitoring range.
In some embodiments, the unit time may be 1 hour, that is, the hour exhaust emission data, mainly including: particulate matter, nitrogen oxides, sulfur dioxide, VOCs (benzene, toluene, ortho/meta/para xylene, methane, non-methane total hydrocarbons, etc.), flue gas temperature, flow rate, etc.
3) And screening and filtering invalid data and fake data on the exhaust emission data of the pollution source.
The filtering of invalid data and fake data is carried out on the exhaust emission data according to the existing algorithm, and the detailed description is omitted.
4) And (5) carrying out species distribution on the particulate matters, the nitrogen oxides and the VOCs according to an industry emission experience library.
Species partitioning of particulate matter refers to empirical partitioning to PM10, PM2.5; species partitioning of nitrogen oxides refers to empirical partitioning to NO, NO2, etc.; species partitioning of VOCs refers to empirical partitioning into benzene-based species and other species.
5) The exhaust emission data is converted into the unit of measure required by the Calpuff model.
The unit used by the pollution source on-line monitoring service end is generally kg/h, and the pollution source is required to be converted into a measurement unit required by a Calpuff model.
6) And generating an exhaust emission list in unit time according to the pollution source basic data and the processed unit data exhaust emission data.
The exhaust emission list in unit time is an ASCII format file, and comprises a file header and a file body. Wherein the file header includes basic information of the pollution source: point source number, chimney bottom altitude, chimney height, outlet diameter, longitude and latitude, influence value from building washing, pollutant list and relative molecular weight. The file body includes emission information per hour for each pollution source: each pollutant discharge, flow rate, smoke temperature, etc.
The embodiment of the atmospheric pollution tracing system based on the Calpuff model is described in detail above, and the atmospheric pollution tracing method based on the Calpuff model corresponding to the system is also provided.
Fig. 2 is a schematic flow chart of an atmospheric pollution tracing method based on a Calpuff model according to an embodiment of the present invention, and as shown in fig. 2, the method includes the following steps.
S1, on-site acquisition of exhaust emission data of a pollution source is carried out.
S2, acquiring the collected exhaust emission data, and storing the exhaust emission data in the form of emission data of unit time.
S3, acquiring exhaust emission data of the pollution source in a designated time period, and generating an exhaust emission list in unit time.
And S4, simulating the air quality of the pollution source by using a unit-time exhaust emission list based on the Calpuff model, and carrying out pollution prediction and tracing according to a simulation result.
The step S1 specifically includes: 1) Sampling exhaust gas from an exhaust gas sampling port; 2) And collecting and analyzing the sampled waste gas to obtain waste gas emission data.
The exhaust gas emitted by the pollution source generally includes particulate matter, nitrogen oxides, sulfur dioxide and VOCs, and correspondingly, the exhaust emission data of this embodiment includes: particulate matter emission per unit time, nitrogen oxide emission per unit time, sulfur dioxide emission per unit time, VOCs emission per unit time, and smoke temperature and flow rate.
As shown in fig. 3, in some embodiments, step S3 obtains exhaust emission data of a pollution source for a specified period of time, and generates an exhaust emission list for a unit time, which specifically includes the following steps:
s301, basic data of each pollution source in the monitoring range are acquired.
Pollution source base data generally includes: chimney number, longitude, latitude, chimney outlet inner diameter, chimney ground clearance height, chimney outlet temperature, chimney outlet speed, chimney flow rate, production status, industry.
S302, acquiring exhaust emission data of each pollution source in a monitoring range in a unit time within a designated time period.
S303, screening and filtering invalid data and fake data on the exhaust emission data of the pollution source.
S304, species distribution is carried out on the particulate matters, the nitrogen oxides and the VOCs according to an industry emission experience library.
Species partitioning of particulate matter refers to empirical partitioning to PM10, PM2.5; species partitioning of nitrogen oxides refers to empirical partitioning to NO, NO2, etc.; species partitioning of VOCs refers to empirical partitioning into benzene-based species and other species.
And S305, converting the exhaust emission data into a measurement unit required by a Calpuff model.
S306, converting the exhaust emission data into a file organization format required by the Calpuff model.
S307, generating an exhaust emission list in unit time according to the pollution source basic data and the processed unit data exhaust emission data.
The Calpuff model-based atmosphere pollution tracing method of the embodiment is implemented based on the Calpuff model-based atmosphere pollution tracing system described above, so that the specific implementation of the method can be seen from the foregoing example section of the Calpuff model-based atmosphere pollution tracing system, so that the specific implementation of the method can be referred to the description of the corresponding examples of each section, and will not be further described herein.
In addition, since the atmospheric pollution tracing method based on the Calpuff model in this embodiment is implemented based on the atmospheric pollution tracing system based on the Calpuff model described above, the effect thereof corresponds to that of the above system, and will not be described here again.
The foregoing disclosure is merely illustrative of the preferred embodiments of the invention and the invention is not limited thereto, since modifications and variations may be made by those skilled in the art without departing from the principles of the invention.
Claims (8)
1. Atmospheric pollution traceability system based on Calpuff model, characterized by comprising:
on-site data acquisition equipment: collecting the exhaust emission data of a pollution source on site;
pollution source on-line monitoring service end: acquiring exhaust emission data acquired by all field end data acquisition equipment, and storing the exhaust emission data in a unit time format;
and tracing analysis terminal: the pollution source online monitoring system is provided with a Calpuff model, waste gas emission data of a pollution source in a designated time period are dynamically obtained from a pollution source online monitoring server, a unit-time waste gas emission list is generated, the pollution source air quality is simulated by using the designated unit-time waste gas emission list based on the Calpuff model, and air quality prediction and pollution source tracing are carried out according to simulation results.
2. The Calpuff model-based atmospheric pollution tracing system of claim 1, wherein the pollution source on-line monitoring service-side stored exhaust emission data comprises: particulate matter emission per unit time, nitrogen oxide emission per unit time, sulfur dioxide emission per unit time, VOCs emission per unit time, and smoke temperature and flow rate.
3. The atmospheric pollution traceability system based on a Calpuff model according to claim 2, wherein the traceability analysis terminal obtains the exhaust emission data of the pollution source in a specified period of time from the pollution source on-line monitoring server, and generates an exhaust emission list in unit time, and specifically comprises:
acquiring basic data of each pollution source in a monitoring range;
acquiring exhaust emission data of each pollution source in a monitoring range in unit time in a designated time period;
screening and filtering invalid data and fake data on the waste gas emission data of the pollution source;
species distribution is carried out on the particulate matters, the nitrogen oxides and the VOCs according to an industry emission experience library;
converting the exhaust emission data into a measurement unit required by a Calpuff model;
and generating an exhaust emission list in unit time according to the pollution source basic data and the processed unit data exhaust emission data.
4. The Calpuff model-based atmospheric pollution tracing system of claim 3, wherein the pollution source base data comprises: chimney number, longitude, latitude, chimney outlet inner diameter, chimney ground clearance height, chimney outlet temperature, chimney outlet speed, chimney flow rate, production status, industry.
5. The atmospheric pollution tracing method based on the Calpuff model is characterized by comprising the following steps of:
collecting the exhaust emission data of a pollution source on site;
acquiring the collected exhaust emission data, and storing the exhaust emission data in the form of emission data of unit time;
dynamically acquiring exhaust emission data of a pollution source in a designated time period, and generating an exhaust emission list in unit time;
and simulating the air quality of the pollution source by using a unit-time exhaust emission list based on the Calpuff model, and carrying out pollution prediction and tracing according to a simulation result.
6. The Calpuff model-based atmospheric pollution tracing method of claim 5, wherein the exhaust emission data comprises: particulate matter emission per unit time, nitrogen oxide emission per unit time, sulfur dioxide emission per unit time, VOCs emission per unit time, and smoke temperature and flow rate.
7. The method for tracing atmospheric pollution based on Calpuff model according to claim 6, wherein the method for dynamically acquiring the exhaust emission data of the pollution source for a specified period of time and generating the exhaust emission list for unit time comprises the following steps:
acquiring basic data of each pollution source in a monitoring range;
acquiring exhaust emission data of each pollution source in a monitoring range in unit time in a designated time period;
screening and filtering invalid data and fake data on the waste gas emission data of the pollution source;
species distribution is carried out on the particulate matters, the nitrogen oxides and the VOCs according to an industry emission experience library;
converting the exhaust emission data into a measurement unit required by a Calpuff model;
converting the exhaust emission data into a file organization format required by a Calpuff model;
and generating an exhaust emission list in unit time according to the pollution source basic data and the processed unit data exhaust emission data.
8. The Calpuff model-based atmospheric pollution tracing method of claim 7, wherein the pollution source base data comprises: chimney number, longitude, latitude, chimney outlet inner diameter, chimney ground clearance height, chimney outlet temperature, chimney outlet speed, chimney flow rate, production status, industry.
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CN117034041A (en) * | 2023-10-08 | 2023-11-10 | 山东智云信息科技有限公司 | Enterprise pollution level assessment system and processing method based on big data |
CN117034041B (en) * | 2023-10-08 | 2024-01-26 | 山东智云信息科技有限公司 | Enterprise pollution level assessment system and processing method based on big data |
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