| Autor: |
Almajed, Rasha, Abualkishik, Abedallah Zaid, Almazaydeh, Laiali, Ghwanmeh, Sameh |
| Předmět: |
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| Zdroj: |
Journal of Intelligent Systems & Internet of Things; 2023, Vol. 9 Issue 2, p239-248, 10p |
| Abstrakt: |
Smart cities represent a transformative vision of urban living, where technology seamlessly integrates with the urban landscape to enhance sustainability and quality of life. Central to this vision is the effective management of environmental factors, particularly air quality and temperature. This paper presents a comprehensive study on realtime environmental pollution detection within smart cities, utilizing Internet of Things (IoT) sensors. We explore the intricate relationships between air pollutant indicators (o3_AQI, no2_AQI, co_AQI, and pm25_AQI) and temperature, shedding light on the dynamic interactions that underlie urban atmospheric conditions. Our research employs a robust dataset and employs statistical analysis, including Ordinary Least Squares (OLS) regression, to uncover significant correlations between key environmental variables. These insights not only contribute to a deeper understanding of urban pollution dynamics but also enable the development of predictive models for temperature fluctuations based on pollutant levels. Such models hold promise for proactive environmental management and public health interventions. Furthermore, our study highlights the pivotal role of IoT sensors in revolutionizing smart city governance, offering real-time data-driven solutions for sustainable urban living. As cities worldwide strive to enhance their environmental resilience, this research provides valuable insights and tools for harnessing the potential of IoT technologies in the pursuit of cleaner and more livable urban environments. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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