IoT-Enabled Smart Anti-Smog Towers: A Novel Approach to Urban Air Pollution Control

Abstract

The escalating concern about anthropogenic influences on climate necessitates a comparative analysis of the impacts of various human activities, such as the greenhouse gas emissions from natural gas usage relative to other fossil fuels. Crucial in this context is the assessment of methane emissions vis-à-vis carbon dioxide emissions and their respective environmental impacts. Air pollution, exacerbated by rapid urbanization and industrialization, has led to a deterioration in air quality, resulting in the release of harmful pollutants. This degradation poses a significant threat to human health, with the World Health Organization (2016) reporting that over 85% of urban dwellers are exposed to pollution levels exceeding recommended limits. Addressing this, the proposed study introduces a smart air pollution monitoring system using an MQ2 sensor. This sensor detects airborne contaminants and outputs voltage pulses, which are then translated into parts per million to quantify air quality in specific areas. Furthermore, the paper presents the design and implementation of an innovative Internet of Things (IoT)-dependent structure incorporating anti-smog towers. These towers create a virtual greenhouse effect, which is posited as beneficial in mitigating the deleterious effects of atmospheric pollutants on human health. The objective of this study is to explore technological innovations and observational methods employed in smart smog towers for improving air quality. The research delves into the potential of such IoT-based systems in creating safer urban environments, underscoring the importance of technological advancements in environmental sensing and pollution control.