Method, device, storage medium and equipment for identifying high-value areas of ozone generation
A technology for ozone generation and identification methods, applied in scene recognition, measuring devices, character and pattern recognition, etc., can solve problems such as inability to completely and accurately identify ozone, and achieve the effect of ensuring the coordinated development of economy and environment and avoiding crowd tactics
Active Publication Date: 2021-08-31
BEIJING INSIGHTS VALUE TECHNOLOGY CO LTD
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[0005] The embodiment of the present application provides a method, device, storage medium and equipment for identifying high-value areas of ozone generation, which are used to solve the problem that high-value areas of ozone generation cannot be completely and accurately identified solely by satellite data
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[0040] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the following will further describe the embodiments of the present application in detail in conjunction with the accompanying drawings.
[0041] Please refer to figure 1 , which shows a method flow chart of a method for identifying a high-value area of ozone generation provided by an embodiment of the present application, and the method for identifying a high-value area of ozone generation can be applied to a computer device. The identification method for the high value area of ozone generation may include:
[0042] Step 101, acquiring satellite remote sensing data, normalized difference vegetation index data and enterprise-related data in the monitoring area.
[0043] Satellite remote sensing data is air pollution-related data monitored by the tropospheric monitor (TROPOMI) carried on the Sentinel-5P satellite. The data used in this embodiment ...
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The application discloses a method, device, storage medium and equipment for identifying high-value areas of ozone generation, and belongs to the technical field of pollution monitoring. The method includes: obtaining satellite remote sensing data, normalized difference vegetation index data and enterprise-related data in the monitoring area; calculating the monitoring area according to the preset scoring model, satellite remote sensing data, normalized difference vegetation index data and enterprise-related data Scoring of at least part of the grid areas within; according to the scoring, the grid areas that meet the preset conditions are identified as high-value ozone generation areas. This application uses satellite remote sensing data and normalized difference vegetation index data to quickly lock potential high-value areas of ozone generation in a wide range of scales, and combined with multi-source data such as enterprise-related data to comprehensively judge, it can accurately identify high-value ozone generation In order to provide scientific assistance for the prevention and control of ozone pollution, it can also help relevant departments to conduct targeted law enforcement inspections and arrange production activities to ensure the coordinated development of the economy and the environment.
Description
technical field [0001] The embodiments of the present application relate to the technical field of pollution monitoring, and in particular to a method, device, storage medium and equipment for identifying high-value areas of ozone generation. Background technique [0002] my country is facing ozone (O 3 ) pollution is becoming more and more prominent, especially in summer, ozone has become the primary factor leading to excessive air quality in some cities. The generation of ozone is jointly affected by precursors, which are associated with volatile organic compounds (VOCs) and nitrogen oxides (NO x ) has a nonlinear distribution relationship. The ratio of volatile organic compounds to nitrogen oxides is usually used to characterize the chemical sensitivity of ozone generation. When the ratio is high, the formation of ozone is considered to be controlled by nitrogen oxides, and when the ratio is low, the formation of ozone is considered to be controlled by the freedom of vo...
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IPC IPC(8): G06K9/00G01N21/17
CPCG01N21/17G01N2021/1795G06V20/13
Inventor 田启明朱珊娴徐彬仁
Owner BEIJING INSIGHTS VALUE TECHNOLOGY CO LTD