Forecasting Air Pollution in Aanand Vihar, Delhi through Pollutant Predictive Analysis

Registration ID: IJNRD_219991

Published ID: IJNRD2405323

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Devanshi Dogra, Mr Anurag Joshi

Air pollution Aanand Vihar Regression models, PM 2.5, PM 10, SO2, NO2, O3, Environmental and health issues, Pollution control measures, Forecasting Data , National Ambient Air Quality Standards (NAAQS), Air Quality Index (AQI), Trend analysis Meteorological data, Machine learning, Time series, regression, forecasting Data collection, Graphical representation, Linear regression, modeling, R-squared value Accuracy

Abstract - This paper presents a comprehensive analysis of air pollution in the Aanand Vihar region of Delhi, focusing on predictive analysis to forecast pollutant concentrations. The study aims to address the critical environmental and health issues associated with air pollution by utilizing historical air quality data, statistical examinations, and regression models. The key pollutants considered include PM 2.5, PM 10, SO2, NO2, and O3, known for their adverse effects on human health and the environment. The research methodology involves gathering relevant air quality data, conducting in-depth data analysis, and utilizing statistical models for forecasting. The results offer valuable insights into pollution trends, which are crucial for policy formulation and implementation of effective pollution control measures. By predicting pollutant concentrations for the next five years, this study contributes to understanding the dynamics of air pollution in the Aanand Vihar region and provides a basis for developing strategies to improve air quality and mitigate the impacts of pollution on public health and the environment.

Published Paper   E-Certificate

Devanshi Dogra & Mr Anurag Joshi (May-2024). Forecasting Air Pollution in Aanand Vihar, Delhi through Pollutant Predictive Analysis. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), d201-d211. https://ijnrd.org/papers/IJNRD2405323.pdf

Volume 9 Issue 5, May-2024

Pages : d201-d211

Paper Reg. ID: IJNRD_219991

Published Paper Id: IJNRD2405323

Downloads: 000122003

Research Area: Science & Technology

Author Type: Indian Author

Country: NA, DELHI, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405323.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405323

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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