A NEW ARTIFICIAL INTELLIGENCE MODEL FOR AIR QUALITY PREDICTION AND ANALYSIS

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Ms.VALAPALA PRABHAVATHI G.SAHITHI,G.AKHILA, K.SAHASRA,G.MANUSHA

Abstract

Traffic and power generation are the main sources of urban air pollution. The idea that outdoor air pollution can cause exacerbations of pre-existing asthma is supported by an evidence base that has been accumulating for several decades, with several studies suggesting a contribution to new-onset asthma as well. In this Series paper, we discuss the effects of particulate matter (PM), gaseous pollutants (ozone, nitrogen dioxide, and sulphur dioxide), and mixed traffic-related air pollution. We focus on clinical studies, both epidemiological and experimental, published in the previous 5 years. From a mechanistic perspective, air pollutants probably cause oxidative injury to the airways, leading to inflammation, remodelling, and increased risk of sensitisation. Although several pollutants have been linked to new-onset asthma, the strength of the evidence is variable. We also discuss clinical implications, policy issues, and research gaps relevant to air pollution and asthma.

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How to Cite
Ms.VALAPALA PRABHAVATHI G.SAHITHI,G.AKHILA, K.SAHASRA,G.MANUSHA. (2023). A NEW ARTIFICIAL INTELLIGENCE MODEL FOR AIR QUALITY PREDICTION AND ANALYSIS. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 14(03), 722–727. https://doi.org/10.17762/turcomat.v14i03.14136
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Research Articles