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Air pollution simulation prediction algorithm for adding liquid phase chemical and wet deposition processes

A prediction algorithm and technology of chemical process, applied in the field of atmospheric environmental pollutant detection, can solve the problem of lack of liquid phase chemical process

Pending Publication Date: 2018-06-29
NANJING UNIV
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Problems solved by technology

[0005] The CALGRID model lacks a description of the liquid-phase chemical processes in cloud rainwater, as well as the precipitation-related wet deposition process

Method used

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  • Air pollution simulation prediction algorithm for adding liquid phase chemical and wet deposition processes
  • Air pollution simulation prediction algorithm for adding liquid phase chemical and wet deposition processes
  • Air pollution simulation prediction algorithm for adding liquid phase chemical and wet deposition processes

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Embodiment Construction

[0041] The present invention will be further illustrated below in conjunction with the accompanying drawings and specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. After reading the present invention, those skilled in the art all fall into the appended claims of the present application to the amendments of various equivalent forms of the present invention limited range.

[0042] Add the air pollution simulation and prediction algorithm of liquid phase chemistry and wet deposition process, including the following steps:

[0043]Step 1: Based on the chemical model of CALGRID, consider the influence of atmospheric chemical reaction, atmospheric transport and diffusion, deposition, surface surface source and elevated emission source, and introduce the pollutant concentration change items caused by liquid phase chemical process and wet deposition pro...

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Abstract

The invention discloses an air pollution simulation prediction algorithm for adding liquid phase chemical and wet deposition processes. According to the algorithm, based on a chemical mode of CALGRID,on the premise that the atmospheric chemistry reaction, atmospheric transport and diffusion, sedimentation and influence of a ground surface source and an overhead emission source are considered, pollutant concentration change items caused by the liquid phase chemical and wet deposition process continue to be introduced, and CALGRID in the cloud and rain chemical process is added; common primarypollutants such as SO2, NO2, PM10 and PM2.5 and common secondary pollutants such as sulfate, nitrate, ammonium salt, black carbon and organic carbon are well simulated, and the wet deposition amount of S and N is also well simulated. The improved CALGRID mode has high resolution and high timeliness, a response relation between a source and a receptor can be conveniently and quickly given, and theresult is reliable.

Description

technical field [0001] The invention belongs to the technical field of atmospheric environmental pollutant detection, and in particular relates to an improved prediction model of mesoscale atmospheric photochemical pollution. Background technique [0002] The air quality model is based on the understanding of a series of physical and chemical processes such as transmission, diffusion, transformation and removal of pollutants discharged into the atmosphere, using research methods and computer technologies in meteorology, environment, physics, chemistry and other disciplines. The method of simulating and forecasting the distribution and trend of air pollutant concentration on different spatial scales has important practical application value in air quality forecasting, air pollution control, environmental planning and management, urban construction and public health, and has Broad development prospects. [0003] CALGRID was developed by the ARB (Air Resources Board) in Califo...

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Application Information

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IPC IPC(8): G06F19/00G01N33/00
CPCG16C20/10G01N33/0062G06F2219/10G01N33/0068
Inventor 谢旻王体健
Owner NANJING UNIV
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