Atmospheric pollution traceability diffusion analysis system and method based on Gaussian diffusion model

Abstract

The invention discloses an atmospheric pollution traceability diffusion analysis system and method based on a Gaussian diffusion model, and the system employs an analogue simulation module which comprises GIS information, pollution diffusion simulation and visual rendering, carries out the simulation of a regional environment through the information, forms a GIS map, and according to the monitoring data in combination with the Gaussian diffusion model after terrain correction, through an image processing technology, pollution diffusion concentration changes are overlaid on a GIS map, wind field distribution after topographic correction is obtained according to topographic data and meteorological data, then a Gaussian diffusion model formula is selected, the concentration influence of each pollution source on a grid center point of an evaluation area is obtained, and an accumulated concentration value is calculated. And visual rendering is performed on a GIS map according to the calculated pollutant concentration value of the central point of the grid, and a visual result is superposed with a basic geographic information base map of the evaluation area to realize visual display of a prediction result.

Description

technical field [0001] The invention relates to the technical field of air pollution traceability in industrial parks, in particular to a Gaussian diffusion model-based air pollution traceability diffusion analysis system and method. Background technique [0002] With the continuous development of industrial activities, humans have discharged a large amount of gaseous pollutants and particulate matter into the atmosphere, which has brought great harm to the ecological environment and human health. At present, more and more large-scale industrial parks are appearing, and the exhaust gas emission of park enterprises has become an important reason for the increase in complaints from surrounding residents, and it is also an important factor affecting the assessment of the park's ecological environment. Due to the numerous and dense emission sources in the park, managers are often unable to determine the source of pollutants, resulting in untimely or untargeted supervision. [0...

AI Technical Summary

Problems solved by technology

Due to the numerous and dense emission sources in the park, managers are often unable to determine the source of pollutants, resulting in untimely or untargeted supervision

[0003] At present, some representative models such as AERMOD, CALPUFF, CMAQ, etc., such recommended models are mainly suitable for urban or larger-scale pollution prediction, which need to be based on a large amount of terrain data and surface parameters, which are very difficult for general industrial parks. Difficult to apply

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