CN114519124A - Joint defense and joint control treatment method for atmospheric environmental pollution - Google Patents
Joint defense and joint control treatment method for atmospheric environmental pollution Download PDFInfo
- Publication number
- CN114519124A CN114519124A CN202011295184.0A CN202011295184A CN114519124A CN 114519124 A CN114519124 A CN 114519124A CN 202011295184 A CN202011295184 A CN 202011295184A CN 114519124 A CN114519124 A CN 114519124A
- Authority
- CN
- China
- Prior art keywords
- atmospheric
- data
- monitoring data
- pollution
- joint
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000003912 environmental pollution Methods 0.000 title claims abstract description 22
- 230000007123 defense Effects 0.000 title claims abstract description 21
- 238000012544 monitoring process Methods 0.000 claims abstract description 49
- 238000004458 analytical method Methods 0.000 claims abstract description 14
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 13
- 238000012216 screening Methods 0.000 claims abstract description 10
- 231100000719 pollutant Toxicity 0.000 claims abstract description 9
- 230000007613 environmental effect Effects 0.000 claims abstract description 7
- 239000000809 air pollutant Substances 0.000 claims description 6
- 231100001243 air pollutant Toxicity 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 6
- 239000000126 substance Substances 0.000 claims description 4
- 230000005012 migration Effects 0.000 claims description 3
- 238000013508 migration Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 238000007621 cluster analysis Methods 0.000 claims 1
- 238000003915 air pollution Methods 0.000 abstract description 2
- 230000009466 transformation Effects 0.000 description 2
- 231100000768 Toxicity label Toxicity 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
- G06F16/9024—Graphs; Linked lists
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of air pollution analysis, in particular to an air environment pollution joint defense joint control treatment method, which comprises the following steps: determining the extent of the contaminated area; screening air quality monitoring stations in the polluted area; collecting meteorological monitoring data, meteorological monitoring data and atmospheric environment monitoring data in a polluted area; constructing an atmospheric environmental pollutant complex network in a designated area according to the collected meteorological monitoring data, the collected meteorological monitoring data and the collected atmospheric environmental monitoring data; based on the atmospheric environment pollutant complex network, excavating a pollution propagation path by utilizing an algorithm; and selecting corresponding emergency treatment measures according to the pollution propagation path. The invention provides a joint defense joint control treatment method for atmospheric environmental pollution, which solves the problem that the existing treatment method is difficult to deal with the sudden atmospheric pollution environmental event.
Description
Technical Field
The invention relates to the technical field of air pollution analysis, in particular to a joint defense joint control treatment method for atmospheric environmental pollution.
Background
In recent years, the atmospheric environmental pollution treatment has achieved remarkable effect in China, but the atmospheric environmental pollution phenomenon still occurs under adverse meteorological conditions. In the face of regional atmospheric pollution, numerous domestic and foreign studies have shown that joint defense and joint control management of atmospheric environmental pollution, namely, joint prevention, control and management of each administrative unit in a polluted area play an important role.
The traditional joint defense joint control management of atmospheric environmental pollution is developed by aiming at gradual emission reduction of pollution sources in a pollution area, such as modes of coal-fired boiler transformation, yellow-label car elimination, power plant desulphurization (denitration and dust removal) and the like, but the joint defense joint control of the atmospheric pollution emergency event plays a small role.
Disclosure of Invention
The invention provides a joint defense and joint control treatment method for atmospheric environmental pollution, which aims to solve the problem that the existing treatment method is difficult to deal with the sudden atmospheric pollution environmental event.
The technical scheme for solving the problems is as follows: the joint defense joint control treatment method for atmospheric environmental pollution is characterized by comprising the following steps:
determining the extent of the contaminated area;
screening air quality monitoring stations in the polluted area;
collecting meteorological monitoring data, meteorological monitoring data and atmospheric environment monitoring data in a polluted area;
constructing an atmospheric environmental pollutant complex network in a designated area according to the collected meteorological monitoring data, the meteorological monitoring data and the atmospheric environmental monitoring data;
based on the atmospheric environment pollutant complex network, excavating a pollution propagation path by utilizing an algorithm;
and selecting corresponding emergency treatment measures according to the pollution propagation path.
It is preferable that: the step of determining the extent of the contaminated area specifically comprises:
acquiring early warning data of air quality index space-time distribution in a designated area, wherein the early warning data is obtained by inputting land utilization type data, terrain elevation data, meteorological field driving data and emission list data into an air quality model by a user;
and obtaining the range of the polluted area according to the early warning data of the air quality index spatial-temporal distribution.
It is preferable that: the air quality model is a WRF _ Chem online atmosphere chemical model.
It is preferable that: the specific steps of screening the air quality monitoring stations in the polluted area comprise:
determining the process of pollution migration according to the range of the polluted area, and counting as a period T;
and counting the overproof data monitored by the air quality monitoring stations in the pollution area range at each moment T in the period T to form a time-by-time station overproof set sigma V (i, j), wherein i belongs to (1, 2, 3, … …, n), and j belongs to (1, 2, 3, … …, m).
It is preferable that: the superscalar data is data of AQI > 200.
It is preferable that: the method also comprises the following steps between the air quality monitoring station in the screening pollution area and the meteorological monitoring data, the meteorological monitoring data and the atmospheric environment monitoring data in the collected pollution area: and performing space-time analysis on the obtained atmospheric environment monitoring data.
It is preferable that: the step of constructing the complex network of atmospheric pollutants comprises:
judging the site V which exceeds the standard at each moment tt(i, j) and other sites Vother (a, b) at the same time, wherein a belongs to (1, 2, 3, … …, n, a ≠ i) and b belongs to (1, 2, 3, … …, m, b ≠ j) whether Distance (V) is met or nott(i,j),Vother(a,b))<50km、DEM(Vt(i, j), Vother (a, b)) < 100m and MAX (wij (t)), where wij (t) is the propagation weight requirement for the station at time t (i, j) and the station (a, b);
forming an air pollutant propagation network matrix M (t) at a specified time t by the sites meeting the requirements;
and superposing the propagation networks formed by calculating the matrix of the air pollutant propagation network in the whole period T to obtain MT ═ M (T) (T ∈ T).
It is preferable that: the algorithm comprises a graph model point weight analysis method, an edge weight analysis method and a clustering analysis algorithm.
Compared with the prior art, the invention has the beneficial effects that:
1) the invention adopts the joint defense and joint control treatment method of atmospheric environmental pollution to macroscopically understand the comprehensive situation of atmospheric pollution and can timely cope with the sudden atmospheric environmental pollution event.
2) The method selects a WRF _ Chem online atmospheric chemical model with better representativeness, performs forecast work of regional atmospheric environment quality by combining a pollution source emission list and a model parameterization scheme, and can accurately select the range of the heavily polluted region.
3) According to the invention, joint defense joint control management work of pollutant propagation is pertinently developed according to the propagation path of the atmospheric pollutants, so that the requirements of refined and scientific management on atmospheric environmental pollution are met.
Drawings
FIG. 1 is a flow chart of the present invention.
Fig. 2 is a flow chart of a propagation path analysis method according to the present invention.
FIG. 3 is a schematic diagram of the operation flow of the WRF _ Chem model.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention.
Embodiment 1, as shown in fig. 1 to fig. 3, a joint defense and joint control treatment method for atmospheric environmental pollution includes the following steps:
determining the extent of the contaminated area;
screening air quality monitoring stations in the polluted area;
collecting meteorological monitoring data, meteorological monitoring data and atmospheric environment monitoring data in a polluted area;
constructing an atmospheric environmental pollutant complex network in a designated area according to the collected meteorological monitoring data, the meteorological monitoring data and the atmospheric environmental monitoring data;
based on the atmospheric environment pollutant complex network, excavating a pollution propagation path by utilizing an algorithm;
and selecting corresponding emergency treatment measures according to the pollution propagation path.
As a preferred embodiment of the present invention: the step of determining the extent of the contaminated area comprises in particular:
acquiring early warning data of air quality index space-time distribution in a designated area, wherein the early warning data is obtained by inputting land utilization type data, terrain elevation data, meteorological field driving data and emission list data into an air quality model by a user;
and obtaining the range of the polluted area according to the early warning data of the air quality index space-time distribution, and extracting wind field data and terrain elevation data in the range of the polluted area.
As a preferred embodiment of the present invention: the air quality model is a WRF _ Chem online atmospheric chemical model.
As a preferred embodiment of the present invention: the specific steps of screening air quality monitoring stations in polluted areas include:
determining the process of pollution migration according to the range of the polluted area, and counting as a period T;
and counting the overproof data monitored by the air quality monitoring stations in the pollution area range at each moment T in the period T to form a time-by-time station overproof set sigma V (i, j), wherein i belongs to (1, 2, 3, … …, n), and j belongs to (1, 2, 3, … …, m).
As a preferred embodiment of the present invention: the superscalar data is the data of AQI > 200.
As a preferred embodiment of the present invention: the method also comprises the following steps of screening the air quality monitoring station in the pollution area and collecting the meteorological monitoring data, the meteorological monitoring data and the atmospheric environment monitoring data in the pollution area: and performing space-time analysis on the obtained atmospheric environment monitoring data.
As a preferred embodiment of the present invention: the steps of constructing the complex network of the atmospheric pollutants comprise:
judging the site V which exceeds the standard at each moment tt(i, j) and other sites Vother (a, b) at the same time, wherein a belongs to (1, 2, 3, … …, n, a ≠ i) and b belongs to (1, 2, 3, … …, m, b ≠ j) whether Distance (V) is met or nott(i,j),Vother(a,b))<50km、DEM(Vt(i, j), Vother (a, b)) < 100m and MAX (wij (t)), where wij (t) is the propagation weight requirement for the station at time t (i, j) and the station (a, b);
forming an air pollutant propagation network matrix M (t) of a specified time t by stations meeting the requirements;
and superposing the propagation networks formed by calculating the matrix of the air pollutant propagation network in the whole period T to obtain MT ═ M (T) (T ∈ T).
As a preferred embodiment of the present invention: the algorithm comprises a graph model point weight analysis method, an edge weight analysis method and a clustering analysis algorithm.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent structures or equivalent flow transformations made by using the contents of the specification and the drawings, or applied directly or indirectly to other related systems, are included in the scope of the present invention.
Claims (8)
1. An air environmental pollution joint defense joint control treatment method is characterized by comprising the following steps:
determining the extent of the contaminated area;
screening air quality monitoring stations in the polluted area;
collecting meteorological monitoring data, meteorological monitoring data and atmospheric environment monitoring data in a polluted area;
constructing an atmospheric environmental pollutant complex network in a designated area according to the collected meteorological monitoring data, the collected meteorological monitoring data and the collected atmospheric environmental monitoring data;
based on the atmospheric environment pollutant complex network, excavating a pollution propagation path by utilizing an algorithm;
and selecting corresponding emergency treatment measures according to the pollution propagation path.
2. The joint defense and joint control treatment method for atmospheric environmental pollution according to claim 1, wherein the step of determining the range of the polluted area specifically comprises:
acquiring early warning data of air quality index space-time distribution in a designated area, wherein the early warning data is obtained by inputting land utilization type data, terrain elevation data, meteorological field driving data and emission list data into an air quality model by a user;
and obtaining the range of the polluted area according to the early warning data of the air quality index space-time distribution.
3. The joint defense joint control treatment method for atmospheric environmental pollution according to claim 2, characterized in that the air quality model is a WRF _ Chem online atmospheric chemical model.
4. The joint defense and joint control treatment method for atmospheric environmental pollution according to claim 1, wherein the specific steps of screening the air quality monitoring stations in the polluted area comprise:
determining the process of pollution migration according to the range of the pollution area, and counting as a period T;
and counting the overproof data monitored by the air quality monitoring stations in the pollution area range at each moment T in the period T to form a time-by-time station overproof set sigma V (i, j), wherein i belongs to (1, 2, 3, … …, n), and j belongs to (1, 2, 3, … …, m).
5. The joint defense joint control governing method for atmospheric environmental pollution according to claim 4, wherein the standard exceeding data is data of AQI > 200.
6. The joint defense and joint control treatment method for atmospheric environmental pollution according to claim 1, wherein between the step of screening the air quality monitoring station in the polluted area and the step of collecting the meteorological monitoring data, the meteorological monitoring data and the atmospheric environmental monitoring data in the polluted area, further comprising: and performing space-time analysis on the obtained atmospheric environment monitoring data.
7. The joint defense and joint control treatment method for atmospheric environmental pollution according to claim 1, wherein the step of constructing the complex network of atmospheric pollutants comprises:
judging the site V which exceeds the standard at each moment tt(i, j) and other sites Vother (a, b) at the same time, wherein a belongs to (1, 2, 3, … …, n, a ≠ i) and b belongs to (1, 2, 3, … …, m, b ≠ j) whether Distance (V) is met or nott(i,j),Vother(a,b))<50km、DEM(Vt(i, j), Vother (a, b)) < 100m and MAX (wij (t)), where wij (t) is the propagation weight requirement for the station at time t (i, j) and the station (a, b);
forming an air pollutant propagation network matrix M (t) of a specified time t by stations meeting the requirements;
and superposing propagation networks formed by calculating the air pollutant propagation network matrix in the whole period T to obtain MT ∑ M (T) (T ∈ T).
8. The joint defense joint control governing method for atmospheric environmental pollution according to claim 1, characterized in that the algorithm comprises a graph model point weight analysis method, an edge weight analysis method and a cluster analysis algorithm.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011295184.0A CN114519124A (en) | 2020-11-18 | 2020-11-18 | Joint defense and joint control treatment method for atmospheric environmental pollution |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011295184.0A CN114519124A (en) | 2020-11-18 | 2020-11-18 | Joint defense and joint control treatment method for atmospheric environmental pollution |
Publications (1)
Publication Number | Publication Date |
---|---|
CN114519124A true CN114519124A (en) | 2022-05-20 |
Family
ID=81594257
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011295184.0A Pending CN114519124A (en) | 2020-11-18 | 2020-11-18 | Joint defense and joint control treatment method for atmospheric environmental pollution |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114519124A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117113027A (en) * | 2023-08-22 | 2023-11-24 | 航天科工智慧产业发展有限公司 | Pollution source tracing method and system based on water pollution |
CN117388445A (en) * | 2023-12-12 | 2024-01-12 | 山东省计量科学研究院 | Atmospheric environment monitoring system |
-
2020
- 2020-11-18 CN CN202011295184.0A patent/CN114519124A/en active Pending
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117113027A (en) * | 2023-08-22 | 2023-11-24 | 航天科工智慧产业发展有限公司 | Pollution source tracing method and system based on water pollution |
CN117113027B (en) * | 2023-08-22 | 2024-03-19 | 航天科工智慧产业发展有限公司 | Pollution source tracing method and system based on water pollution |
CN117388445A (en) * | 2023-12-12 | 2024-01-12 | 山东省计量科学研究院 | Atmospheric environment monitoring system |
CN117388445B (en) * | 2023-12-12 | 2024-04-05 | 山东省计量科学研究院 | Atmospheric environment monitoring system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110531030B (en) | Method and device for analyzing atmospheric pollutants based on Internet of things big data | |
CN111814111B (en) | Industrial park atmospheric pollutant tracing method | |
CN109522603B (en) | Vehicle-mounted Lagrange real-time atmospheric pollution source tracing system and method based on cloud platform | |
CN109932988B (en) | Urban raise dust pollution diffusion prediction system and method | |
CN113610243B (en) | Atmospheric pollutant tracing method based on coupled machine learning and correlation analysis | |
CN106548258B (en) | Traffic air pollutant concentration prediction method and system based on meteorological conditions | |
CN114519124A (en) | Joint defense and joint control treatment method for atmospheric environmental pollution | |
CN109781945B (en) | Method and system for transmission and investigation among pollutant areas based on mobile device | |
CN113284244B (en) | Atmospheric pollutant tracing method based on lattice diffusion simulation | |
CN109613197B (en) | Water quality monitoring early warning feedback response method based on river course water network | |
CN114186723A (en) | Distributed photovoltaic power grid virtual prediction system based on space-time correlation | |
CN115420854A (en) | Atmospheric pollutant tracing method based on forward and backward model combination | |
CN104715608B (en) | Around-the-clock all-area taxi gathering real-time monitoring method based on HBase | |
CN117092297A (en) | Method, system, equipment and medium for tracing atmospheric pollutants in industrial park | |
CN117708617A (en) | Atmospheric pollution tracing method based on multi-source big data and pollution characteristic space-time matching | |
CN112541255A (en) | Automatic recognition system and recognition method for atmospheric pollution emission source | |
CN116611547A (en) | Atmospheric pollutant source forecasting method, device, equipment and storage medium | |
CN109615239B (en) | Urban air quality assessment method based on social network media data | |
Ju et al. | The use of edge computing-based internet of things big data in the design of power intelligent management and control platform | |
CN114004514A (en) | Atmospheric ozone pollution occurrence meteorological condition grade discrimination method | |
CN115902114A (en) | Small-scale atmospheric pollution tracing method based on semi-quantitative method | |
Chung et al. | Information extraction methodology by web scraping for smart cities | |
CN115081846A (en) | Quantitative evaluation technology for air quality meteorological condition contribution rate | |
CN113420443B (en) | Accurate stink simulation method coupled with peak-to-average factor | |
CN113297811A (en) | Atmospheric pollution source tracing calculation method for people peculiar smell complaints |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |