Abstract
The research on the dispersion and speed of environmental pollutants in the air plays an important role, which can help to enhance the impact of environmental pollutants in the surrounding areas on the research city, and carry out accurate evaluation and analysis. This paper studies the judgment of PM2.5 pollution source and VR environmental design index based on various data. In the modern environmental design, the original cultural factors are widely used. In the corresponding environmental design, the traditional culture hidden in the environmental design can be clearly seen through the design. Therefore, in the modern environmental design, we can add some traditional culture through imitation and modification, so as to make the traditional cultural value of environmental art higher. This is not only the work of art that directly characterizes the environment, but also the work of art. This review is an important step in the model building process: parameter estimation and optimization of experimental technology design. The function theorem aims at parameter estimation for finding models and unknown parameters that give the optimal set of experimental data. Optimum design goal is to design experiments to provide a dynamic linear model for subsequent identification, estimation, and/or identifying the maximum information content.
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03 November 2021
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s12517-021-08792-8
28 September 2021
An Editorial Expression of Concern to this paper has been published: https://doi.org/10.1007/s12517-021-08471-8
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This article is part of the Topical Collection on Environment and Low Carbon Transportation
This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12517-021-08792-8
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Zhang, B. RETRACTED ARTICLE: Air PM2.5 pollutant prediction and VR environmental art design index based on parameter estimation. Arab J Geosci 14, 1738 (2021). https://doi.org/10.1007/s12517-021-08073-4
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DOI: https://doi.org/10.1007/s12517-021-08073-4