International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 03 | Mar 2024
p-ISSN: 2395-0072
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SIMULATING DIURNAL AND SEASONAL VISIBILITY CHANGES AND ASSESSING THEIR CORRELATION WITH PM2.5 CONCENTRATIONS AT TWO LOCATIONS IN AGRA FOR COMPREHENSIVE AIR QUALITY ANALYSIS Garima*, Dr. Randhir Singh Indolia Department of Physics, Agra College Agra, Dr. Bhimrao Ambedkar University Agra, 202004 (U. P.) India. ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - In Recent research spanning from 2021 to 2024
and its relationship with PM2.5 concentrations is crucial for developing targeted interventions to mitigate air pollution and protect public health [2].
utilizes advanced simulation methodologies to replicate diurnal and seasonal variations in visibility at two distinct sites within Agra. Through integration of meteorological parameters and emission data, the simulations accurately depict the dynamic nature of visibility alterations influenced by traffic, industrial operations, and atmospheric conditions. Concurrent measurement of PM2.5 concentrations at these locations enables assessment of their correlation with simulated visibility changes. The study highlights a substantial relationship between observed PM2.5 levels and simulated visibility impairments, offering crucial insights into the complex interplay between air pollution and visibility dynamics. These findings provide actionable information for policymakers and urban planners to devise effective strategies for comprehensive air quality management in Agra.
The diurnal and seasonal variations in visibility are influenced by several factors, including meteorological conditions, sources of air pollution, and atmospheric processes. Diurnally, visibility tends to decrease during peak traffic hours and industrial activities when emissions are high. Seasonally, variations in temperature, humidity, wind patterns, and agricultural practices impact air quality and visibility. Studying these variations can provide insights into the underlying mechanisms driving air pollution and visibility changes. PM2.5, being a major component of air pollution, has adverse effects on human health, including respiratory and cardiovascular diseases. Additionally, PM2.5 particles contribute to visibility impairment by scattering and absorbing sunlight, leading to reduced atmospheric transparency. Understanding the correlation between PM2.5 concentrations and visibility is crucial for assessing the effectiveness of air quality regulations and emission control measures.
Keywords: Air Quality Analysis, Visibility Changes, PM2.5 Concentrations, Simulation Methodologies, Urban Pollution.
1. Introduction: Air quality is a critical environmental concern, particularly in rapidly urbanizing areas like Agra, India, where industrialization and vehicular emissions contribute significantly to air pollution. Among various pollutants, fine particulate matter with a diameter of 2.5 micrometers or less (PM2.5) is of particular concern due to its adverse health effects and visibility impairment. Understanding the dynamics of air pollution and its impact on visibility is essential for effective air quality management and public health protection [1].
Simulation techniques offer a valuable tool for studying air quality dynamics and assessing the impact of various factors on visibility and PM2.5 concentrations. By integrating meteorological data, emission inventories, and atmospheric dispersion models, simulations can replicate real-world conditions and provide insights into the complex interactions between air pollutants and meteorological parameters [3]. In this research, we aim to simulate diurnal and seasonal variations in visibility at two locations within Agra using advanced atmospheric modelling techniques. We will utilize meteorological data, emission inventories, and atmospheric dispersion models to simulate the transport and dispersion of air pollutants, including PM2.5 particles. Concurrently, we will monitor PM2.5 concentrations at the study sites to validate the simulation results and assess the correlation between PM2.5 levels and visibility changes.
This research focuses on investigating diurnal and seasonal variations in visibility and their correlation with PM2.5 concentrations at two distinct locations within Agra. By employing advanced simulation techniques, we aim to provide comprehensive insights into air quality dynamics in this region. Agra, home to the iconic Taj Mahal and numerous industrial establishments, experiences significant air pollution levels throughout the year. The city's air quality is influenced by various factors, including vehicular emissions, industrial activities, construction dust, and agricultural burning. Understanding the temporal variations in visibility
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The outcomes of this research will contribute to a better understanding of air quality dynamics in Agra and facilitate evidence-based decision-making for air quality
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