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Monitoring and Data Analysis of Indoor Air Quality to Improve Ventilation

DOI: 10.4236/oalib.1111804, PP. 1-18

Subject Areas: Mechanical Engineering

Keywords: Air Quality, Air Pollution, Formaldehyde Concentration, TVOC

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Abstract

This study conducts a thorough analysis of indoor air quality in Al-Baha Region, Saudi Arabia, utilizing data collected from seventy-two diverse locations. The investigation focuses on annual average key pollutants including CO2, PM2.5, PM10, TVOC, and HCOH. The study emphasizes the significance of understanding the spatial dynamics of indoor air quality for informed decision-making in public health and environmental management. The data analysis contributes valuable insights for researchers, policymakers, and the public, serving as a comprehensive resource for assessing and addressing potential health risks associated with indoor air pollutants. The results underscore the importance of implementing targeted strategies to improve ventilation, reduce pollutant sources, and enhance the overall quality of indoor environments in Al-Baha Region. The concentrations of CO2 ranged from 390 to 609 parts per million, PM2.5 varied between 3 and 26 micrograms per cubic meter, PM10 showed fluctuations within the range of 3 to 32 micrograms per cubic meter, TVOC exhibited values spanning from 0.04 to 0.8 per milligrams per cubic meter, and HCOH concentrations fluctuated between 0.009 and 0.1 milligrams per cubic meter. According to the standards, these observed values fall within the acceptable range. This study forms a solid foundation for future research initiatives and policy developments aimed at fostering healthier living conditions in the region. It highlights the need for proactive measures to create sustainable and optimal indoor environments that positively impact the well-being of residents in Al-Baha Region and similar geographic con-texts.

Cite this paper

El-Kawi, O. S. A. (2024). Monitoring and Data Analysis of Indoor Air Quality to Improve Ventilation. Open Access Library Journal, 11, e1804. doi: http://dx.doi.org/10.4236/oalib.1111804.

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