Long-memory property in air pollutant concentrations

被引:29
作者
Chelani, Asha [1 ]
机构
[1] Natl Environm Engn Res Inst CSIR NEERI, Air Pollut Control Div, Nagpur 440020, Maharashtra, India
关键词
Temporal evolution; Self-organized criticality; Self-cleansing of atmosphere; SELF-ORGANIZED CRITICALITY; CONCENTRATION-TIME SERIES; SCALING PROPERTIES; RANGE PERSISTENCE; OZONE; RAINFALL; DYNAMICS; QUALITY; INDEXES;
D O I
10.1016/j.atmosres.2015.12.007
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In the present paper, long-memory in air pollutant concentrations is reviewed and outcome of the past studies is analyzed to provide the possible mechanism behind temporal evolution of air pollutant concentrations. It is observed that almost all the studies show air pollutant concentrations over time possess persistence up to a certain limit. Self-organized criticality of air pollution, multiplicative process of pollutant concentrations, and uniformity in emission sources leading to self-organized criticality are few of the phenomena behind the persistent property of air pollutant concentrations. The self-organized criticality of air pollution is linked to atmosphere's self cleansing mechanism. This demonstrates that inspite of increasing anthropogenic emissions, self-organized criticality of air pollution is sustained and has low influence of human interventions. In the future, this property may, however, be perturbed due to continuous air pollution emissions, which may influence the accuracy in predictions. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 4
页数:4
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