CN109932988B - Urban raise dust pollution diffusion prediction system and method - Google Patents
Urban raise dust pollution diffusion prediction system and method Download PDFInfo
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Abstract
The invention discloses a system and a method for predicting the diffusion of urban raise dust pollution, comprising a raise dust pollution diffusion prediction center and front-end online monitoring equipment which is positioned in different raise dust emission areas of a city; the dust pollution diffusion prediction center is respectively connected with each front-end online monitoring device; the front-end online monitoring equipment is used for acquiring the dust emission information and the meteorological information of different areas of a city and transmitting the dust emission information and the meteorological information to a dust emission pollution diffusion prediction center in real time; and the dust pollution diffusion prediction center is used for predicting the dust pollution diffusion conditions of all areas in the city according to the dust information and the meteorological information uploaded by the front-end online monitoring equipment and carrying out dust pollution early warning according to the prediction result. According to the invention, the raise dust pollution diffusion prediction center performs comprehensive analysis and processing on meteorological data and raise dust data of different raise dust emission areas to obtain a prediction result, thereby being beneficial to comprehensive monitoring and accurate early warning of a pollution source.
Description
Technical Field
The invention relates to urban raise dust monitoring, in particular to a system and a method for predicting urban raise dust pollution diffusion.
Background
With the increasing concern of China on air quality, the application of a numerical air quality model in China increases year by year, the application range comprises the aspects of analysis of air pollutant sources, air quality early warning and forecasting, environmental impact evaluation, measure response evaluation and the like, the intervention of the air quality model solves the response relation of pollution emission to environmental concentration, so that the quantitative determination of the influence of artificial pollution sources and natural pollution sources on the air quality concentration becomes practical, and the core basis of the application of the air quality model is to compile and establish a local air pollutant model emission list.
In order to effectively monitor the pollution emission conditions of jurisdictions, environmental protection departments at all levels have started to adopt pollution source online monitoring systems to monitor the emission conditions of raised dust, road raised dust, industrial waste gas and catering waste gas of related building enterprises, the running conditions of environmental protection facilities and the like in real time. The dust emission and pollution emission conditions of each enterprise are transmitted to the pollution source online monitoring system platform of the environmental protection department through the wide area network, so that the environmental protection department can concentrate and supervise the pollution emission conditions of the enterprises in real time, the supervision efficiency and effect are effectively improved, and the intelligent degree of management is greatly improved.
However, such pollution source monitoring devices and platforms still have a number of disadvantages:
(1) the dust monitoring equipment generally adopts expensive beta-ray method equipment, is high in cost and is not beneficial to large-area popularization so as to solve the problem of urban pollution;
(2) the method includes that a beta-ray method monitoring device monitors dust emission data, one data is obtained in 1 hour basically, and instantaneity is not enough; the dust variation condition is not easy to be mastered in time; in the actual use process, the problem of serious delay of the urban dust pollution problem is solved and treated by knowing the afterfeel after exceeding the standard;
(3) the platform is only used for simply receiving, storing and displaying the monitoring data, and has little consideration on the big data analysis and processing technology of the data, the cloud computing solution and the like; the accurate positioning of the pollution source and the pollution exceeding early warning and alarming can not be carried out.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a system and a method for predicting the diffusion of urban fugitive dust pollution.
The purpose of the invention is realized by the following technical scheme: a system for predicting the diffusion of urban raise dust pollution comprises a raise dust pollution diffusion prediction center and front-end online monitoring equipment positioned in different raise dust emission areas of a city; the dust pollution diffusion prediction center is respectively connected with each front-end online monitoring device;
the front-end online monitoring equipment is used for acquiring the dust emission information and the meteorological information of different areas of a city and transmitting the dust emission information and the meteorological information to a dust emission pollution diffusion prediction center in real time;
and the dust pollution diffusion prediction center is used for predicting the dust pollution diffusion conditions of all areas in the city according to the dust information and the meteorological information uploaded by the front-end online monitoring equipment and carrying out dust pollution early warning according to the prediction result.
Preferably, the different dust emission areas of the city comprise city roads, city construction sites, city restaurants and city factories.
Preferably, the front-end online monitoring equipment comprises a raise dust information acquisition module, a meteorological information acquisition module, a positioning module, a front-end communication module, a central processing unit and a networking communication module; the output ends of the dust emission information acquisition module, the meteorological information acquisition module and the positioning module are all connected with a central processing unit, and the output end of the central processing unit is connected with a dust emission pollution diffusion prediction center through a front-end communication module; the central processor is also connected with a networking communication module; each front-end online monitoring device carries out networking communication through a networking communication module; the dust information acquisition module comprises a dust sensor; the meteorological information acquisition module comprises a wind speed sensor, a wind direction sensor, a temperature sensor, a humidity sensor and an atmospheric pressure sensor.
Preferably, the dust pollution diffusion prediction center includes: the communication module is used for establishing connection with the front-end communication module and receiving the dust emission information and the meteorological information uploaded by front-end online monitoring equipment in different dust emission areas of a city; the weather field simulation module is used for constructing a WRF (write-once-for-field) model according to the received weather information and providing weather field files of different dust emission areas; the meteorological land preprocessing module is used for acquiring topographic data of different dust emission areas and preprocessing the topographic data to form topographic files of the different dust emission areas; the meteorological data simulation module is used for combining meteorological field files and topographic files of different dust emission areas to obtain meteorological data files for the atmospheric diffusion model; the pollution diffusion simulation module is used for constructing an atmospheric diffusion model and processing meteorological data files and dust emission information of different dust emission areas to obtain a pollution diffusion simulation file; the pollution index processing module is used for processing the pollution diffusion simulation file, and analyzing to obtain pollution indexes of different dust emission areas as prediction results; and the monitoring and early warning module is used for monitoring the prediction results of different dust emission areas by combining with a preset pollution index range and giving an alarm when the prediction results exceed the preset index range.
A prediction method of a city raise dust pollution diffusion prediction system comprises the following steps:
s1, collecting flying dust information, meteorological information and positioning information of corresponding areas by front-end online monitoring equipment located in different flying dust emission areas of a city, and transmitting the flying dust information, the meteorological information and the positioning information to a flying dust pollution diffusion prediction center in real time;
s2, the flying dust pollution diffusion prediction center constructs a WRF model according to the received meteorological information and provides meteorological field files of different flying dust discharge areas;
s3, acquiring topographic data of different dust emission areas by a dust pollution diffusion prediction center, and preprocessing the topographic data to form topographic files of the different dust emission areas;
s4, combining the meteorological field files and the terrain files of different raise dust emission areas by the raise dust pollution diffusion prediction center to obtain meteorological data files for an atmospheric diffusion model;
s5, constructing an atmospheric diffusion model by a flying dust pollution diffusion prediction center, and processing meteorological data files and flying dust information of different flying dust emission areas to obtain a pollution diffusion simulation file;
s6, the dust emission pollution diffusion prediction center processes the pollution diffusion simulation file, and different dust emission area pollution indexes are obtained through analysis and serve as prediction results;
and S7, combining a preset pollution index range with a dust emission pollution diffusion prediction center, monitoring prediction results of different dust emission areas, giving an alarm when the prediction results exceed the preset index range, and combining positioning information of corresponding areas to accurately position pollution sources.
The invention has the beneficial effects that: according to the invention, the dust emission information and the meteorological information of different areas of a city are collected through the front-end online monitoring equipment and are transmitted to the dust emission pollution diffusion prediction center in real time for data analysis, so that the dust emission pollution diffusion prediction center is beneficial to timely mastering dust emission change conditions and carrying out targeted treatment; meanwhile, the comprehensive analysis and processing are carried out on meteorological data and dust emission data of different dust emission areas by a dust emission pollution diffusion prediction center to obtain a prediction result, so that the comprehensive monitoring and accurate early warning of a pollution source are facilitated; each front-end online monitoring device is provided with a positioning module, and positioning information is uploaded together while meteorological data and dust emission data are uploaded, so that a pollution source can be accurately positioned conveniently; each online monitoring device is provided with a networking communication module; each front-end online monitoring device carries out networking communication through a networking communication module, and when the online monitoring devices are interrupted in communication with the dust pollution diffusion prediction center, the online monitoring devices can upload data through other online monitoring devices, so that the timeliness of data transmission is guaranteed, and the adverse effect of network fluctuation on a system is avoided.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention;
FIG. 2 is a schematic block diagram of a front-end on-line monitoring device;
FIG. 3 is a flow chart of the method of the present invention.
Detailed Description
The technical solutions of the present invention are further described in detail below with reference to the accompanying drawings, but the scope of the present invention is not limited to the following.
As shown in fig. 1, a system for predicting the diffusion of dust pollution in a city comprises a dust pollution diffusion prediction center and front-end online monitoring equipment located in different dust emission areas of the city; the dust pollution diffusion prediction center is respectively connected with each front-end online monitoring device;
the front-end online monitoring equipment is used for acquiring the dust emission information and the meteorological information of different areas of a city and transmitting the dust emission information and the meteorological information to a dust emission pollution diffusion prediction center in real time;
and the dust pollution diffusion prediction center is used for predicting the dust pollution diffusion conditions of all areas in the city according to the dust information and the meteorological information uploaded by the front-end online monitoring equipment and carrying out dust pollution early warning according to the prediction result.
In the embodiment of the application, the different dust emission areas of the city comprise city roads, city construction sites, city restaurants and city factories.
As shown in fig. 2, in the embodiment of the present application, the front-end online monitoring device includes a dust information collection module, a weather information collection module, a positioning module, a front-end communication module, a central processing unit, and a networking communication module; the output ends of the dust emission information acquisition module, the meteorological information acquisition module and the positioning module are all connected with a central processing unit, and the output end of the central processing unit is connected with a dust emission pollution diffusion prediction center through a front-end communication module; the central processor is also connected with a networking communication module; each front-end online monitoring device carries out networking communication through a networking communication module; the dust information acquisition module comprises a dust sensor; the meteorological information acquisition module comprises a wind speed sensor, a wind direction sensor, a temperature sensor, a humidity sensor and an atmospheric pressure sensor.
In an embodiment of the application, the positioning module is a GPS positioning module or a beidou positioning module, the networking communication module may be a Zigbee communication module, and the front-end communication module is a GSM communication module, a 3G communication module, or a 4G communication module.
In an embodiment of the present application, the flying dust pollution diffusion prediction center includes: the communication module (the type of which is the same as that of the front-end communication module) is used for establishing connection with the front-end communication module and receiving the dust emission information and the meteorological information uploaded by front-end online monitoring equipment in different dust emission areas of a city;
the weather field simulation module is used for constructing a WRF (write-once-for-field) model according to the received weather information and providing weather field files of different dust emission areas; the WRF provides a common framework for mesoscale research and business numerical weather forecasting; designing a simulation for a 1-10 km grid distance; is adaptive to the typical real-time forecasting capability on a general computing platform. It also provides a common framework for idealized dynamic research and numerical weather forecasting and regional climate simulation of complete physics. The WRF has the advantages of a multi-dimensional dynamic kernel, a more reasonable mode power frame, an advanced three-dimensional variational data assimilation system, a horizontal resolution of up to several kilometers and an integrated parameterized physical process scheme. The WRF mode is a fully compressible and non-static mode and is written in the F90 language. Arakawa C grid points are adopted in the horizontal direction, and terrain following mass coordinates are adopted in the vertical direction. The WRF mode employs a Runge-Kutta algorithm of third order or fourth order in terms of time integration.
The meteorological land preprocessing module is used for acquiring topographic data of different dust emission areas and preprocessing the topographic data to form topographic files of the different dust emission areas;
the meteorological data simulation module is used for combining meteorological field files and topographic files of different dust emission areas to obtain meteorological data files for the atmospheric diffusion model; the pollution diffusion simulation module is used for constructing an atmospheric diffusion model and processing meteorological data files and dust emission information of different dust emission areas to obtain a pollution diffusion simulation file; the pollution index processing module is used for processing the pollution diffusion simulation file, and analyzing to obtain pollution indexes of different dust emission areas as prediction results; and the monitoring and early warning module is used for monitoring the prediction results of different dust emission areas by combining with a preset pollution index range and giving an alarm when the prediction results exceed the preset index range.
In the embodiment of the application, CALPUFF is used as a pollution mode to simulate the dust emission diffusion rule, so that the functions of a meteorological data simulation module, a pollution diffusion simulation module and a pollution index processing module are completed; the system comprises a CALPUFF (atmospheric diffusion model), a CALMET (meteorological and topographic data preprocessing module) and a CALPOST (pollution index post-processing module). The CALPUFF model is suitable for simulation scales ranging from several kilometers to hundreds of kilometers, and comprises calculation functions of short-distance simulation, such as building washing, smoke plume lifting, exhaust funnel rain cap effect, influence of a sublayer grid region (such as influence of regional terrain), and calculation functions of long-distance simulation, such as pollutant removal caused by dry and wet settlement, chemical conversion, vertical wind shear effect, transmission across the water surface, smoke effect and influence of particulate matter concentration on visibility. The method is suitable for special conditions, such as simulation of transmission and diffusion in complex wind fields of continuous calm wind, wind direction reversal and the like in a stable state.
As shown in fig. 3, a prediction method of a diffusion prediction system for urban fugitive dust pollution includes the following steps:
s1, collecting flying dust information, meteorological information and positioning information of corresponding areas by front-end online monitoring equipment located in different flying dust emission areas of a city, and transmitting the flying dust information, the meteorological information and the positioning information to a flying dust pollution diffusion prediction center in real time;
s2, the flying dust pollution diffusion prediction center constructs a WRF model according to the received meteorological information and provides meteorological field files of different flying dust discharge areas;
s3, acquiring topographic data of different dust emission areas by a dust pollution diffusion prediction center, and preprocessing the topographic data to form topographic files of the different dust emission areas;
s4, combining the meteorological field files and the terrain files of different raise dust emission areas by the raise dust pollution diffusion prediction center to obtain meteorological data files for an atmospheric diffusion model;
s5, constructing an atmospheric diffusion model by a flying dust pollution diffusion prediction center, and processing meteorological data files and flying dust information of different flying dust emission areas to obtain a pollution diffusion simulation file;
s6, the dust emission pollution diffusion prediction center processes the pollution diffusion simulation file, and different dust emission area pollution indexes are obtained through analysis and serve as prediction results;
and S7, combining a preset pollution index range with a dust emission pollution diffusion prediction center, monitoring prediction results of different dust emission areas, giving an alarm when the prediction results exceed the preset index range, and combining positioning information of corresponding areas to accurately position pollution sources.
In conclusion, the invention collects the dust emission information and the meteorological information of different areas of the city through the front-end online monitoring equipment, and transmits the dust emission information and the meteorological information to the dust emission pollution diffusion prediction center in real time for data analysis, thereby being beneficial to timely mastering the dust emission change condition and carrying out targeted treatment; meanwhile, the comprehensive analysis and processing are carried out on meteorological data and dust emission data of different dust emission areas by a dust emission pollution diffusion prediction center to obtain a prediction result, so that the comprehensive monitoring and accurate early warning of a pollution source are facilitated; each front-end online monitoring device is provided with a positioning module, and positioning information is uploaded together while meteorological data and dust emission data are uploaded, so that a pollution source can be accurately positioned conveniently; each online monitoring device is provided with a networking communication module; each front-end online monitoring device carries out networking communication through a networking communication module, and when the online monitoring devices are interrupted in communication with the dust pollution diffusion prediction center, the online monitoring devices can upload data through other online monitoring devices, so that the timeliness of data transmission is guaranteed, and the adverse effect of network fluctuation on a system is avoided.
Finally, it is to be understood that the above description illustrates and describes preferred embodiments of the invention, but as before, it is to be understood that the invention is not limited to the precise forms disclosed herein, and that it is not to be considered as excluding other embodiments, but is capable of use in various other combinations, modifications, and environments and is capable of changes within the scope of the inventive concept as expressed above, or as determined by the skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (6)
1. The utility model provides a city raise dust pollution diffusion prediction system which characterized in that: the system comprises a flying dust pollution diffusion prediction center and front-end online monitoring equipment which is positioned in different flying dust emission areas of a city; the dust pollution diffusion prediction center is respectively connected with each front-end online monitoring device;
the front-end online monitoring equipment is used for acquiring the dust emission information and the meteorological information of different areas of a city and transmitting the dust emission information and the meteorological information to a dust emission pollution diffusion prediction center in real time;
the dust pollution diffusion prediction center is used for predicting the dust pollution diffusion conditions of various regions in a city according to dust information and meteorological information uploaded by the front-end online monitoring equipment and carrying out dust pollution early warning according to the prediction result;
the dust pollution diffusion prediction center comprises:
the communication module is used for establishing connection with the front-end communication module and receiving the dust emission information and the meteorological information uploaded by front-end online monitoring equipment in different dust emission areas of a city;
the weather field simulation module is used for constructing a WRF (write-once-for-field) model according to the received weather information and providing weather field files of different dust emission areas;
the meteorological land preprocessing module is used for acquiring topographic data of different dust emission areas and preprocessing the topographic data to form topographic files of the different dust emission areas;
the meteorological data simulation module is used for combining meteorological field files and topographic files of different dust emission areas to obtain meteorological data files for the atmospheric diffusion model;
the pollution diffusion simulation module is used for constructing an atmospheric diffusion model and processing meteorological data files and dust emission information of different dust emission areas to obtain a pollution diffusion simulation file;
the pollution index processing module is used for processing the pollution diffusion simulation file, and analyzing to obtain pollution indexes of different dust emission areas as prediction results;
and the monitoring and early warning module is used for monitoring the prediction results of different dust emission areas by combining with a preset pollution index range and giving an alarm when the prediction results exceed the preset index range.
2. The system of claim 1, wherein the system comprises: the different dust emission areas of the city comprise urban roads, urban construction sites, urban restaurants and urban factories.
3. The system of claim 1, wherein the system comprises: the front-end online monitoring equipment comprises a raise dust information acquisition module, a meteorological information acquisition module, a positioning module, a front-end communication module, a central processing unit and a networking communication module;
the output ends of the dust emission information acquisition module, the meteorological information acquisition module and the positioning module are all connected with a central processing unit, and the output end of the central processing unit is connected with a dust emission pollution diffusion prediction center through a front-end communication module; the central processor is also connected with a networking communication module; each front-end on-line monitoring device carries out networking communication through a networking communication module.
4. The system of claim 3, wherein the system comprises: the dust information acquisition module comprises a dust sensor.
5. The system of claim 3, wherein the system comprises: the meteorological information acquisition module comprises a wind speed sensor, a wind direction sensor, a temperature sensor, a humidity sensor and an atmospheric pressure sensor.
6. The prediction method of the urban fugitive dust pollution diffusion prediction system according to any one of claims 1 to 5, wherein: the method comprises the following steps:
s1, collecting dust information, meteorological information and positioning information of areas by front-end online monitoring equipment located in different dust emission areas of a city, and transmitting the dust information, the meteorological information and the positioning information to a dust pollution diffusion prediction center in real time;
s2, the flying dust pollution diffusion prediction center constructs a WRF model according to the received meteorological information and provides meteorological field files of different flying dust discharge areas;
s3, acquiring topographic data of different dust emission areas by a dust pollution diffusion prediction center, and preprocessing the topographic data to form topographic files of the different dust emission areas;
s4, combining the meteorological field files and the terrain files of different raise dust emission areas by the raise dust pollution diffusion prediction center to obtain meteorological data files for an atmospheric diffusion model;
s5, constructing an atmospheric diffusion model by a flying dust pollution diffusion prediction center, and processing meteorological data files and flying dust information of different flying dust emission areas to obtain a pollution diffusion simulation file;
s6, the dust emission pollution diffusion prediction center processes the pollution diffusion simulation file, and different dust emission area pollution indexes are obtained through analysis and serve as prediction results;
and S7, combining a preset pollution index range with a dust emission pollution diffusion prediction center, monitoring prediction results of different dust emission areas, giving an alarm when the prediction results exceed the preset index range, and combining positioning information of corresponding areas to accurately position pollution sources.
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| CN110674583A (en) * | 2019-09-29 | 2020-01-10 | 天津大学 | Method for constructing inter-city atmospheric pollution transmission matrix |
| CN110975478A (en) * | 2019-10-25 | 2020-04-10 | 陈大军 | Construction site raise dust treatment method |
| CN112990024B (en) * | 2021-03-18 | 2024-03-26 | 深圳博沃智慧科技有限公司 | Urban dust monitoring method |
| CN114429315B (en) | 2022-04-06 | 2022-06-21 | 成都秦川物联网科技股份有限公司 | Smart city dust pollution management method and Internet of things system |
| CN115931659B (en) * | 2022-10-31 | 2023-11-03 | 信阳师范学院 | System and method for evaluating influence of dust emission of urban storage yard on air quality |
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