PROBABILISTICS AND SENSITIVITY OF AIR POLLUTION EXPOSURE TO STUDENTS IN INDUSTRIAL AREA

Abstract

Background: Air pollution is responsible for significant global morbidity and mortality. Industrial areas are a major source of air pollution due to various activities such as coal combustion, vehicle movement, and particle emissions from raw material processing. Children attending schools near industrial areas are more vulnerable to the impacts of air pollution because their activities in the school environment increase their exposure to pollutants.

Objective: To determine the probabilistic simulation and sensitivity of air pollution exposure to students in industrial areas using Monte Carlo simulation.

Method: The method used in this study is a literature review. Data collection was carried out through online database searches such as: Pubmed and Science Direct . The keywords used in the article search were "Air pollution", "Effects of air pollution on children's health", "Air pollution in industrial areas" and "Monte Carlo simulation". The inclusion criteria for quantitative and qualitative research types, the target population is air pollutants with ambient air parameters, published in the last 5 years (2020-2024) articles using English and articles in original, full-text and open access form. The exclusion criteria were articles that were not relevant to the topic of discussion.

Results: Exposure to air pollution from industrial areas around schools increases the risk of impaired lung function, respiratory symptoms, and cognitive impairment in children.

Conclusion: Strict environmental mitigation and management efforts are needed to protect students' health from the long-term impacts of industrial air pollution.