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		题名	作者	年代	出处	被引量
	1	Optimal selection of full scale tannery effluent treatment alternative using integrated AHP and GRA approach显示文摘	Girish R. Pophali Asha B. Chelani Rita S. Dhodapkar	2011	Expert Systems With Applications2011，，9：	1
	2	Prediction of sulphur dioxide concentration using artificial neural networks显示文摘	CHELANI A B CHALAPATI R C V Phadke K M	2002	Environmental Modelling & Software2002，，17：	1
	3	Nonlinear Dynamical Analysis of Ground Level Ozone Concentrations at Different Temporal Scales显示文摘	CHELANI A B	2010	Atmospheric Environment2010，44，34：	1
	4	Nonlinear dynamical analysis of ground level ozone concentrations at different temporal scales显示文摘	Chelani AB	2010	Atmospheric Environment2010，44，34：	1
	5	Airborne toxic metals in air of Mumbai city, India显示文摘	Chelani AB Gajghate DG hasan MZ	2001	Bull Environ Contam Toxicol2001，66，：	1
	6	Lockdown during COVID-19 pandemic:A case study from Indian cities shows insignificant effects on persistent property of urban air quality显示文摘The influence of reduction in emissions on the inherent temporal characteristics of PMand NOconcentration time series in six urban cities of India is assessed by computing the Hurst exponent using Detrended Fluctuation Analysis(DFA) during the lockdown period(March 24–April 20, 2020) and the corresponding period during the previous two years(i.e., 2018 and 2019). The analysis suggests the anticipated impact of confinement on the PMand NOconcentration in urban cities, causing low concentrations. It is observed that the original PMand NOconcentration time series is persistent but filtering the time series by fitting the autoregressive process of order 1 on the actual time series and subtracting it changes the persistence property significantly. It indicates the presence of linear correlations in the PMand NOconcentrations. Hurst exponent of the PMand NOconcentration during the lockdown period and previous two years shows that the inherent temporal characteristics of the short-term air pollutant concentrations(APCs) time series do not change even after withholding the emissions. The meteorological variations also do not change over the three time periods. The finding helps in developing the prediction models for future policy decisions to improve urban air quality across cities.	Asha Chelani Sneha Gautam	2022	Geoscience Frontiers2022，13，6：	1
	7	Optimal selection of full seal tannery effluent treatment alternative using integrated AHP and GRA approach 显示文摘	Pophali G R Chelani A B Dhodapkar R S	2011	Expert Systems with Applications2011，38，10：	1
	8	Persistence analysis of extreme CO, NOz and Oa concentrations in ambient air of Delhi显示文摘	CHELANI A B	2012	Atmospher- ic Research2012，108，：	1
	9	Air quality forecasting using a hybrid autoregressive and nonlinear model显示文摘	CHELANI A B DEVOTTA S	2006	Atmospheric Environment2006，40，10：	1
	10	Air quality forecasting using a hybrid autoregressive and nonlinear model显示文摘	Chelani A B Devotta S	2006	Atmospheric Environment2006，40，0：	1
	11	Nonlinear dynamical analysis of ground level ozone concentrations at different temporal scales显示文摘	CHELANI A B	2010	Atmospheric Environment2010，44，34：	1
	12	Air Quality Status and Sources of PM10 in Kanpur City, India显示文摘	B Chelani D G ajghate K M Phadke	2005	Environ Contam Toxicol2005，74，：	1
	13	Nonlinear dynamical analysis of ground level ozone concentrations at different temporal scales显示文摘	Chelani A B	2010	Atmospheric Environment2010，44，34：	1

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