A time–scaling property of air pollution indices: a case study of Shanghai, China

Atmospheric Pollution Research - Tập 6 - Trang 886-892 - 2015
Zuhan Liu1, Lili Wang2, Huasheng Zhu1
1School of Information Engineering, Nanchang Institute of Technology, Nanchang, Jiangxi 330099, China
2College of Science, Nanchang Institute of Technology, Nanchang, Jiangxi 330099, China

Tài liệu tham khảo

Bottcher, 2007, Small and large scale fluctuations in atmospheric wind speeds, Stochastic Environmental Research and Risk Assessment, 21, 299, 10.1007/s00477-006-0065-2 Chan, 2008, Air pollution in mega cities in China, Atmospheric Environment, 42, 1, 10.1016/j.atmosenv.2007.09.003 Chavanne, 1998, Variation in risk taking behavior among female college students as a function of the menstrual cycle, Evolution and Human Behavior, 19, 27, 10.1016/S1090-5138(98)00016-6 Chen, 2010, Ambient air pollution and hospital admission in Shanghai, China, Journal of Hazardous Materials, 181, 234, 10.1016/j.jhazmat.2010.05.002 Cogliani, 2001, Air pollution forecast in cities by an air pollution index highly correlated with meteorological variables, Atmospheric Environment, 35, 2871, 10.1016/S1352-2310(01)00071-1 de Lima, 1999, Multifractal analysis of 15–min and daily rainfall from a semi–arid region in Portugal, Journal of Hydrology, 220, 1, 10.1016/S0022-1694(99)00053-0 Duhan, 2013, Spatial and temporal variability in maximum, minimum and mean air temperatures at Madhya Pradesh in Central India, Comptes Rendus Geoscience, 345, 3, 10.1016/j.crte.2012.10.016 Faiman, 1996, On the choice of reference mutant states in the application of the double–mutant cycle method, Protein Engineering, 9, 315, 10.1093/protein/9.3.315 Fang, 2009, Managing air quality in a rapidly developing nation: China, Atmospheric Environment, 43, 79, 10.1016/j.atmosenv.2008.09.064 Gan, 2014, Seasonal and trend time series forecasting based on a quasi–linear autoregressive model, Applied Soft Computing, 24, 13, 10.1016/j.asoc.2014.06.047 Gorji Sefidmazgi, 2014, Trend analysis using non–stationary time series clustering based on the finite element method, Nonlinear Processes in Geophysics, 21, 605, 10.5194/npg-21-605-2014 Harvey, 1989, 312 Hong, 2011, Decomposition and forecast for financial time series with high–frequency based on empirical mode decomposition, Energy Procedia, 5, 1333, 10.1016/j.egypro.2011.03.231 Ibarra–Berastegi, 2008, From diagnosis to prognosis for forecasting air pollution using neural networks: Air pollution monitoring in Bilbao, Environmental Modelling & Software, 23, 622, 10.1016/j.envsoft.2007.09.003 Jazwinski, 1970, 247 Kiyashchenko, 2004, Seismic hazard precursory evolution: Fractal and multifractal aspects, Physics and Chemistry of the Earth, 29, 367, 10.1016/j.pce.2003.12.004 Kourentzes, 2014, Neural network ensemble operators for time series forecasting, Expert Systems with Applications, 41, 4235, 10.1016/j.eswa.2013.12.011 Lee, 2015, A hybrid dynamic and fuzzy time series model for mid–term power load forecasting, International Journal of Electrical Power & Energy Systems, 64, 1057, 10.1016/j.ijepes.2014.08.006 Lee, 2006, Scaling characteristics in ozone concentration time series (OCTS), Chemosphere, 62, 934, 10.1016/j.chemosphere.2005.05.046 Liang, 2010, Fuzzy mathematics–based comprehensive evaluation of dynamics of atmospheric environmental quality, Journal of Arid Land Resources and Environment, 24, 77 Liu, 2014, Multifractal and long memory of humidity process in the Tarim River basin, Stochastic Environmental Research and Risk Assessment, 28, 1383, 10.1007/s00477-013-0832-9 Liu, 2014, Self–organized criticality of climate change, Theoretical and Applied Climatology, 115, 685, 10.1007/s00704-013-0929-6 Liu, 2013, Integrated modeling of urban–scale pollutant transport: Application in a semi–arid urban valley, Northwestern China, Atmospheric Pollution Research, 4, 306, 10.5094/APR.2013.034 Liu, 2010, Unsteadiness of COD in the upper and middle reaches of Minjiang River, Chinese Journal of Population Resources and Environment, 8, 65, 10.1080/10042857.2010.10685006 Lorentzen, 2014, Statistical analysis of temperature data sampled at Station–M in the Norwegian Sea, Journal of Marine Systems, 130, 31, 10.1016/j.jmarsys.2013.09.009 Macek, 2011, Observation of the multifractal spectrum at the termination shock by Voyager 1, Geophysical Research Letters, 38, 10.1029/2011GL049261 Maheswaran, 2015, Wavelet Volterra Coupled Models for forecasting of nonlinear and non–stationary time series, Neurocomputing, 149, 1074, 10.1016/j.neucom.2014.07.027 Matsoukas, 2000, Detrended fluctuation analysis of rainfall and streamflow time series, Journal of Geophysical Research–Atmospheres, 105, 29165, 10.1029/2000JD900419 Peng, 1994, Mosaic organization of DNA nucleotides, Physical Review E, 49, 1685, 10.1103/PhysRevE.49.1685 Penrod, 2014, Impacts of future climate and emission changes on U.S. air quality, Atmospheric Environment, 89, 533, 10.1016/j.atmosenv.2014.01.001 Percival, 2000, 279 Peters, 2006, Rain viewed as relaxational events, Journal of Hydrology, 328, 46, 10.1016/j.jhydrol.2005.11.045 Pulido, 2014, Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican stock exchange, Information Sciences, 280, 188, 10.1016/j.ins.2014.05.006 Ruan, 2013, Developing fast predictors for large–scale time series using fuzzy granular support vector machines, Applied Soft Computing, 13, 3981, 10.1016/j.asoc.2012.09.005 Ruiz–Medina, 2008, Multifractality in space–time statistical models, Stochastic Environmental Research and Risk Assessment, 22, S81, 10.1007/s00477-007-0155-9 Saarikoski, 2007, Chemical composition of aerosols during a major biomass burning episode over Northern Europe in spring 2006: Experimental and modelling assessments, Atmospheric Environment, 41, 3577, 10.1016/j.atmosenv.2006.12.053 Samet, 2014, Quantizing the deterministic nonlinearity in wind speed time series, Renewable & Sustainable Energy Reviews, 39, 1143, 10.1016/j.rser.2014.07.130 Schlink, 2006, Statistical models to assess the health effects and to forecast ground–level ozone, Environmental Modelling & Software, 21, 547, 10.1016/j.envsoft.2004.12.002 Scott, 2014, Predicting the present with bayesian structural time series, International Journal of Mathematical Modelling and Numerical Optimisation, 5, 4, 10.1504/IJMMNO.2014.059942 Shi, 2013, Self–organized criticality: Emergent complex behavior in PM10 pollution, International Journal of Atmospheric Sciences, 2013 Shi, 2010, Comparative analysis of time–scaling properties about water pH in Poyang Lake inlet and outlet on the basis of fractal methods, Water Science and Technology, 61, 2113, 10.2166/wst.2010.135 Shi, 2009, Monofractal and multifractal approaches in investigating temporal variation of air pollution indexes, Fractals–Complex Geometry Patterns and Scaling in Nature and Society, 17, 513 Shi, 2008, 75 Shi, 2008, Using three methods to investigate time–scaling properties in air pollution indexes time series, Nonlinear Analysis–Real World Applications, 9, 693, 10.1016/j.nonrwa.2007.06.003 Slini, 2006, PM10 forecasting for Thessaloniki. Greece, Environmental Modelling & Software, 21, 559, 10.1016/j.envsoft.2004.06.011 Tang, 2015, The impact of energy consumption, income and foreign direct investment on carbon dioxide emissions in Vietnam, Energy, 79, 447, 10.1016/j.energy.2014.11.033 Tao, 2010, An economic analysis of Midwestern U.S.;1; criteria pollutant emissions trends from 1970 to 2000, Ecological Economics, 69, 1666, 10.1016/j.ecolecon.2010.03.016 Telesca, 2004, Mono– and multi–fractal. investigation of scaling properties in temporal patterns of seismic sequences, Chaos Solitons & Fractals, 19, 1, 10.1016/S0960-0779(03)00188-7 Telesca, 2002, Monofractal and multifractal approaches in investigating scaling properties in temporal patterns of the 1983–2000 seismicity in the Western Corinth Graben, Greece, Physics of the Earth and Planetary Interiors, 131, 63, 10.1016/S0031-9201(02)00014-6 Tunc, 2009, A decomposition analysis of CO2 emissions from energy use: Turkish case, Energy Policy, 37, 4689, 10.1016/j.enpol.2009.06.019 Turcotte, 2004, Landslides, forest fires, and earthquakes: Examples of self–organized critical behavior, Physica a– Statistical Mechanics and Its Applications, 340, 580, 10.1016/j.physa.2004.05.009 Vattay, 1994, Scaling behavior in daily air humidity fluctuations, Physical Review Letters, 73, 768, 10.1103/PhysRevLett.73.768 Wang, 2013, Estimation of citywide air pollution in Beijing, PLOS ONE, 8, 10.1371/journal.pone.0053400 Wang, 2007, An analysis on pollution level and variation pattern of inhalable particulates in ambient air in central urban area of Shang, Shanghai Environmental Sciences, 26, 22 Windsor, 2001, Scaling and persistence of UK pollution, Atmospheric Environment, 35, 4545, 10.1016/S1352-2310(01)00208-4 Yang, 2008, Characteristics of atmospheric pollution in Beijing and Shanghai in 2004 and 2005, Resources and Environment in the Yangtze Basin, 17, 323 Zhao, 2013, Urban ambient air quality investigation and health risk assessment during haze and non–haze periods in Shanghai, China, Atmospheric Pollution Research, 4, 275, 10.5094/APR.2013.030