典型文献
Lockdown during COVID-19 pandemic:A case study from Indian cities shows insignificant effects on persistent property of urban air quality
文献摘要：
The influence of reduction in emissions on the inherent temporal characteristics of PM2.5 and NO2 con-centration 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 antic-ipated impact of confinement on the PM2.5 and NO2 concentration in urban cities,causing low concentra-tions.It is observed that the original PM2.5 and NO2 concentration 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 PM2.5 and NO2 concentrations.Hurst exponent of the PM2.5 and NO2 concentration during the lockdown period and previous two years shows that the inherent temporal characteristics of the short-term air pol-lutant concentrations(APCs)time series do not change even after withholding the emissions.The mete-orological 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.
文献关键词：
中图分类号：
作者姓名：
Asha Chelani;Sneha Gautam
作者机构：
Air Pollution Control Division,CSIR-National Environmental Engineering Research Institute(CSIR-NEERI),Nehru Marg,Nagpur 440020,India;Karunya Institute of Technology and Sciences,Coimbatore-641114,Tamil Nadu,India
文献出处：
引用格式：
[1]Asha Chelani;Sneha Gautam-.Lockdown during COVID-19 pandemic:A case study from Indian cities shows insignificant effects on persistent property of urban air quality)[J].地学前缘（英文版）,2022(06):347-358
A类：
antic,withholding,orological
B类：
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AB值：
0.504628
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