Ozone concentration prediction based on deep neural networks

Ao Chen

doi:10.1117/12.2667925

28 March 2023 Ozone concentration prediction based on deep neural networks

Ao Chen

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125664D (2023) https://doi.org/10.1117/12.2667925
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

With the continuous development of urban industrialization, the standard of living of the Chinese people has improved to an unprecedented extent. At the same time, however, it has also brought about adverse consequences such as the deterioration of the air and water environment, which can be said to be an inevitable consequence of the development of the modern industry. Since entering the 21st century, a gas that most people are familiar with, ozone, has become the primary pollutant of air pollution and is also a key target for treatment. To better combat pollution caused by ozone, this thesis proposes an ozone concentration prediction model based on deep neural networks in machine learning. Ozone concentration data and various meteorological factors were collected from ground-based monitoring stations, and a cleaning code was used to remove erroneous data. The final graph of the model training process and the comparison of the predicted actual values show that the model in this experiment predicts ozone concentrations effectively.

Citation Download Citation

Ao Chen "Ozone concentration prediction based on deep neural networks", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125664D (28 March 2023); https://doi.org/10.1117/12.2667925

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