Speaker
Description
Particulate matter (PM) pollution, a global environmental and public health challenge, necessitates a detailed analysis of PM2.5 and PM10 levels across diverse regions of Nepal. Study of how PM2.5 and PM10 levels vary across different regions of Nepal and over different human intervention is crucial for a comprehensive analysis. A spectral analysis, including the application of Continuous Wavelet Transform (CWT), has been used to examine the temporal and geographical dynamics of PM2.5 and PM10 over the course of a year. Our study reveals that the Himalayan region exhibits consistently low maximum pollution levels due to highly sparse population distribution. Particularly noteworthy is the Terai region, where PM levels surpass those in the Hilly region despite comparable population density. The spectral analysis using CWT shows a subtle yet recurring annual periodicity in PM variations, marked by varying intensities each year. This comprehensive analysis enhances our understanding of air quality dynamics in Nepal, offering valuable insights into localized variations and seasonally influenced pollution patterns. The findings hold significance for environmental management and public health policies, emphasizing the need for tailored interventions considering regional and temporal aspects in PM influenced pollution.
Keywords: Particulate Matter, PM2.5, PM10, Continuous Wavelet Transform (CWT), Air pollution.
