Academic Journal of Engineering and Technology Science, 2023, 6(11); doi: 10.25236/AJETS.2023.061118.
College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Dongsanlu, Erxianqiao, Chengdu, Sichuan, 610059, China
The application of atmospheric dispersion models for predicting and analyzing environmental pollution incidents has become a major trend in air pollution forecasting. This includes Gaussian models, Lagrangian models, CFD, and others. Atmospheric dispersion models are typically deployed on PC desktop platforms such as Windows and MAC on personal/public computers. Their input/output data usually rely on local file inputs, which is not conducive to the convenient use of the models.This article combines new framework technologies in the computer field with model theory. Specifically, it uses the Python-based FastAPI backend framework to deploy algorithm script modules and Vue to design the input and output UI interfaces, achieving the implementation of the algorithm on a web client platform. Additionally, by leveraging GIS technology, the output data results of the atmospheric model are structurally optimized and rendered. The rendered results have reference value for the development of emergency response plans by relevant departments in the event of accidents.
Atmospheric dispersion model, Lagrangian, WebGIS, FastAPI.Vue, Python
Junqiao Chen. Application Technology of Atmospheric Dispersion Models Based on FastAPI+Vue. Academic Journal of Engineering and Technology Science (2023) Vol. 6, Issue 11: 120-126. https://doi.org/10.25236/AJETS.2023.061118.
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