THE IMPACT OF ENVIRONMENTAL POLLUTANTS ON HUMAN HEALTH: A STUDY ON AIR QUALITY AND RESPIRATORY DISEASES IN URBAN AREAS

Abstract

Urban air pollution constitutes a significant and escalating global public health crisis. This study investigates the quantitative relationship between key ambient air pollutants and the prevalence and severity of respiratory diseases in densely populated urban environments. We conducted a longitudinal, problem-based analysis over 36 months across five major metropolitan cities, correlating real-time air quality data with hospital admissions and clinical data. The pollutants of primary focus were particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), and ground-level ozone (O3). Health outcomes were measured through hospitalization rates for asthma exacerbations, chronic obstructive pulmonary disease (COPD), and acute respiratory infections, alongside lung function test data from a cohort of 3,000 at-risk individuals (children, the elderly, and those with pre-existing conditions). Our results demonstrate a strong, dose-dependent association between PM2.5 levels and hospital admissions for asthma and COPD, with a 10 µg/m³ increase in PM2.5 associated with a 7.5% rise in admissions (p<0.001). NO2 exhibited the strongest correlation with pediatric asthma incidents. Spatial analysis via Geographic Information Systems (GIS) revealed disease clusters co-located with high-traffic corridors and industrial zones. Furthermore, longitudinal data showed that sustained exposure to pollutant levels exceeding World Health Organization (WHO) guidelines led to measurable declines in forced expiratory volume (FEV1) in our cohort. This research underscores the critical and immediate threat posed by urban air pollution to respiratory health. The findings advocate for the implementation of stricter, evidence-based air quality standards, the establishment of urban "clean air zones," and the integration of environmental health data into public health surveillance systems to mitigate disease burden and healthcare costs.