Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)

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Prediction of PM10 Concentrations in the Ningdong Base

Authors
Fengjun Li, Xiaole Guo
Corresponding Author
Fengjun Li
Available Online December 2016.
DOI
10.2991/icseee-16.2016.92How to use a DOI?
Keywords
PM10; SVR; Prediction; Ningdong Base
Abstract

Utilization of PM10 concentrations and meteorological data of Ningdong Base, the PM10 concentration is predicted based on LS-SVR, BP-ANN and traditional MLR models. The results show that the LS-SVR model can better describe the nonlinear dependence between PM10 concentration and meteorological factors, and predict the PM10 concentration more accurately.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
10.2991/icseee-16.2016.92
ISSN
2352-5401
DOI
10.2991/icseee-16.2016.92How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

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TY  - CONF
AU  - Fengjun Li
AU  - Xiaole Guo
PY  - 2016/12
DA  - 2016/12
TI  - Prediction of PM10 Concentrations in the Ningdong Base
BT  - Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)
PB  - Atlantis Press
SP  - 497
EP  - 500
SN  - 2352-5401
UR  - https://doi.org/10.2991/icseee-16.2016.92
DO  - 10.2991/icseee-16.2016.92
ID  - Li2016/12
ER  -