Research on Applied-Information Technology with PM2.5 Generation and Evolution Model Based on BP Neural Network

Ying Hong Xie; Xiao Wei Han; Qi Li

doi:10.4028/www.scientific.net/AMR.1003.226

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1003Research on Applied-Information Technology with...

Research on Applied-Information Technology with PM2.5 Generation and Evolution Model Based on BP Neural Network

Abstract:

In this paper, BP neural network model is used to establish the occurrence and evolution model of PM2.5 in an area in Xi'an city. In the model, wind, humidity, season, SO₂,NO₂,PM₁₀, CO,O₃(in one hour ) and O₃(in eight hours ) and other influence factors are all considered. The model has good reliability, it can accurately forecast the value of PM2.5 and its variation in the near future, which can provide the basis for the PM2.5 control.

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Periodical:

Advanced Materials Research (Volume 1003)

Pages:

226-229

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1003.226

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Online since:

July 2014

Authors:

Ying Hong Xie*, Xiao Wei Han, Qi Li

Keywords:

Air Quality Index (AQI), BP Neural Network (BPNN), PM2.5

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* - Corresponding Author

References

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