Sustainable Solutions for Delhi's Air Pollution: A Data Driven Approach
摘要
The city of Delhi has become an important subject of research in the global discussion surrounding air pollution. The city experienced a significant deterioration in air quality between 2015 and 2020, and this study seeks to identify the complex factors that have contributed to this trend. The research employs a comprehensive approach that goes beyond the surface-level causes of pollution. It examines the role of rapid urbanization, industrial growth, vehicular emissions, and agricultural practices in contributing to pollution levels while recognizing the intricate interconnectedness of these factors. To address the issue, the study advocates for a holistic approach that considers the specific sources of emissions. By utilizing advanced analytical tools such as machine learning algorithms and satellite data integration, the research aims to provide accurate and actionable insights to inform targeted policy interventions. Furthermore, the study critically evaluates prior research and identifies gaps in existing methodologies. By introducing innovative approaches and leveraging advanced analytical tools, the study aims to offer a nuanced understanding of pollution trends and dynamics. In summary, the research underscores the need to adopt comprehensive, data-driven strategies to combat air pollution in Delhi and other urban centers worldwide. It highlights the impact of pollution on public health, ecosystems, and environmental sustainability and calls for collective action to create clean and healthy environments.