Statistical Prediction of AQI of Amravati City and Parametric Analysis using PCA and Z - Score Variability
Abstract: In India, the rate of urban air pollution has increased to a concerning level. The majority of cities struggle with inadequate air quality, which falls short of healthy air standards. Governmental organizations utilize the air quality index (AQI), which is a numerical representation, to inform the public about the current and projected levels of air pollution. A significant portion of the populace is anticipated to suffer from progressively severe unfavourable health impacts as the AQI rises. In this paper we have used Statistical analysis model, ARIMA (Autoregressive Integrated Moving Average) and PCA (Principal component analysis) and Z - Score variability to understand the dataset and for sequential prediction of AQI data of Amravati region of Maharashtra.
Keywords: Statistical prediction, ARIMA, PCA, Air quality Index, Z - Score, Air Pollution, AQI
How to Cite?: Nidhi Tiwari, "Statistical Prediction of AQI of Amravati City and Parametric Analysis using PCA and Z - Score Variability", Volume 13 Issue 5, May 2024, International Journal of Science and Research (IJSR), Pages: 147-151, https://www.ijsr.net/getabstract.php?paperid=SR24501103453, DOI: https://dx.doi.org/10.21275/SR24501103453