Long-memory property in air pollutant concentrations
IR@CSIR-NEERI
View Archive InfoField | Value | |
Title |
Long-memory property in air pollutant concentrations
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Creator |
Lalwani, Asha
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Subject |
Air Quality
Air Pollution |
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Description |
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 showair 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 fewof the phenomena behind the persistent property of air pollutant concentrations. The self-organized criticality of air pollution is linked to atmosphere's selfcleansing mechanism. This demonstrates that inspite of increasing anthropogenic emissions, self-organized criticality of air pollution is sustained and has lowinfluence 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. |
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Publisher |
Elsevier
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Date |
2016
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Type |
Article
PeerReviewed |
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Format |
application/pdf
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Identifier |
http://neeri.csircentral.net/902/1/AR_long.pdf
Lalwani, Asha (2016) Long-memory property in air pollutant concentrations. Atmospheric Research, 171. pp. 1-4. ISSN 0169-8095 |
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Relation |
https://www.journals.elsevier.com/atmospheric-research
http://neeri.csircentral.net/902/ |
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