Urban environmental pulsation research based on Wavelet Decomposition enhanced ARMA model

DOI

10.2991/icaees-15.2015.225How to use a DOI?

Keywords

city pulsation; air pollutant concentration; water quality; Wavelet Decomposition; ARMA

Abstract

With the rapid development of Internet of Things technologies, smart city public information platform is collecting more and more city data. Make full use of these data, to analyze the pulsation rule of city development, is very important for solving the existing problems in cities. Relying on the Sino-Singapore Tianjin Eco-city (SSTEC) data collecting platform and city pulsation project requirements, this paper explored the data source for environmental pulsation analysis. Then by analysis the time series features of data, we chose the wavelet enhanced ARMA model to model and predict the SSTEC air pollutant concentration data and water quality data. The result shows that, wavelet enhanced ARMA model is a proper method for environmental prediction which has a relatively higher prediction accuracy. Our results provide a guidance for urban environmental management, also appropriate in some other smart city application fields.

Copyright

© 2015, 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/).

Download article (PDF)

TY  - CONF
AU  - Xiang Li
AU  - Ling Peng
AU  - Tianhe Chi
AU  - Congcong Wen
AU  - Yizhi Xu
PY  - 2015/07
DA  - 2015/07
TI  - Urban environmental pulsation research based on Wavelet Decomposition enhanced ARMA model
BT  - Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015
PB  - Atlantis Press
SP  - 1208
EP  - 1223
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaees-15.2015.225
DO  - 10.2991/icaees-15.2015.225
ID  - Li2015/07
ER  -