A chaotic analysis on air pollution index change over past 10 years in Lanzhou, northwest China
- 1 May 2011
- journal article
- research article
- Published by Springer Science and Business Media LLC in Stochastic Environmental Research and Risk Assessment
- Vol. 25 (5), 643-653
- https://doi.org/10.1007/s00477-011-0471-y
Abstract
No abstract availableKeywords
This publication has 58 references indexed in Scilit:
- Design of fuzzy cognitive maps using neural networks for predicting chaotic time seriesNeural Networks, 2010
- Chaotic time series prediction with residual analysis method using hybrid Elman–NARX neural networksNeurocomputing, 2010
- A decomposition analysis of CO2 emissions from energy use: Turkish caseEnergy Policy, 2009
- A study on variations of concentrations of particulate matter with different sizes in Lanzhou, ChinaAtmospheric Environment, 2009
- Characterization of chaos in air pollutants: A Volterra–Wiener–Korenberg series and numerical titration approachAtmospheric Environment, 2008
- Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: An empirical analysisEnergy Policy, 2007
- Scattering properties of atmospheric aerosols over Lanzhou City and applications using an integrating nephelometerAdvances in Atmospheric Sciences, 2004
- Chaos theory in hydrology: important issues and interpretationsJournal of Hydrology, 2000
- Turbulence characteristics in an urban atmosphere of complex terrainAtmospheric Environment. Part A. General Topics, 1992
- Statistical analysis of the maximum concentration of an air pollutant: Effects of autocorrelation and non-stationarityAtmospheric Environment (1967), 1979