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A method for rapid prediction and evaluation of air pollution multi-scenario control effects

A multi-scenario and fast technology, applied in forecasting, climate sustainability, data processing applications, etc., can solve problems such as large amount of calculation, inability to achieve real-time air pollution control effects, dynamic prediction and evaluation, and consumption of computing time of large computer resources. , to achieve the effect of improving the performance

Active Publication Date: 2021-09-21
INST OF ATMOSPHERIC PHYSICS CHINESE ACADEMY SCI
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Problems solved by technology

Therefore, the amount of calculation is huge, and it needs to consume a lot of computer resources (500-1000 computing cores) and computing time (20-30 days), and it is impossible to realize real-time and dynamic prediction and evaluation of the effect of air pollution control

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  • A method for rapid prediction and evaluation of air pollution multi-scenario control effects

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Embodiment Construction

[0042] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0043] The present invention provides a method for rapid prediction and evaluation of air pollution multi-scenario control effects. Since the air quality model does not need to be re-run, the air quality improvement effects of multiple control schemes can be quickly obtained, thereby supporting the comparison and optimization of multiple control schemes. Compared with the traditional scenario simulation method, the method of the present invention can quickly and quantitatively evaluate the air quality improvement effects of multiple sets of pollution control measures befo...

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Abstract

The invention provides a method for rapid prediction and evaluation of air pollution multi-scenario control effects, which includes: determining the space-time range of air pollution control effect evaluation; configuring model parameters; performing time-space allocation on pollutant emission source inventory data; operating the air quality numerical model to obtain The functional relationship between the amount of emission precursors emitted by each pollutant emission source and the hourly baseline simulated concentration of pollutants at grid points; the calculation of the emission precursors emitted by pollutant emission sources in point source control measures and area sources The total emission reduction rate under control measures; calculate the concentration of air pollutants after taking point source control measures and non-point source control measures, and evaluate the effect of point source control measures and non-point source control measures. The method of the invention can quickly and quantitatively evaluate the air quality improvement effects of multiple sets of pollution control measures under the condition of reasonable calculation resource expenditure, realize comparison and optimization of various pollution control measures, and improve the air quality control effect.

Description

technical field [0001] The invention belongs to the technical field of environmental protection, and in particular relates to a rapid prediction and evaluation method for multi-scenario control effects of air pollution. Background technique [0002] At present, commonly used evaluation methods for air pollution control measures include: air quality numerical model scenario simulation method and response surface model (RSM) method. Among them, for the air quality numerical model scenario simulation method, when multiple sets of different control measures need to be evaluated, for each control measure, it is necessary to regenerate the emission source inventory and run the air quality model, the operation process is complicated and the calculation efficiency is low. It is impossible to quickly evaluate various air pollution control measures, so it is impossible to realize real-time optimization of various control measures. [0003] For the response surface model method, this ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26
CPCG06Q10/04G06Q10/0639G06Q50/26Y02A90/10
Inventor 王文丁陈焕盛晏平仲杨文夷王自发
Owner INST OF ATMOSPHERIC PHYSICS CHINESE ACADEMY SCI
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