Published Paper Details:

This study examines how well wet scavenging works to reduce particulate matter (PM) concentrations and how that affects the Air Quality Index (AQI) in different parts of Agra. One important natural method for purging the air of contaminants is wet scavenging, in which precipitation collects and removes atmospheric particles. In the urban and peri-urban regions of Agra, a city notorious for its severe air pollution problems, mostly brought on by industrial activity, construction dust, and vehicle emissions, the study attempts to measure the efficacy of this procedure. The research offers a thorough evaluation of the ways in which wet scavenging affects PM concentrations of various sizes, especially PM2.5 and PM10, by gathering and evaluating PM data before to, during, and following rainstorm events at several monitoring stations located around the city. High-precision sensors and weather stations are used in the study technique to continuously monitor air quality metrics and record rainfall events. PM levels and precipitation duration and severity are correlated using sophisticated statistical techniques and atmospheric models. Additionally, by contrasting data from heavily populated metropolitan centers, industrial zones, and less-trafficked residential regions, the spatial heterogeneity of wet scavenging efficiency is investigated. The study also examines the temporal component, emphasizing the rate and duration of post-rainfall improvements in air quality.