| Title |
Urban environmental pulsation research based on Wavelet Decomposition enhanced ARMA model |
| ID_Doc |
44148 |
| Authors |
Li, X; Peng, L; Chi, TH; Wen, CC; Xu, YZ |
| Title |
Urban environmental pulsation research based on Wavelet Decomposition enhanced ARMA model |
| Year |
2015 |
| Published |
|
| DOI |
|
| 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. |
| Author Keywords |
city pulsation; air pollutant concentration; water quality; Wavelet Decomposition; ARMA |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000371425800225 |
| WoS Category |
Energy & Fuels; Engineering, Multidisciplinary; Engineering, Electrical & Electronic; Environmental Sciences |
| Research Area |
Energy & Fuels; Engineering; Environmental Sciences & Ecology |
| PDF |
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