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Article

Particulate Matter 2.5 (PM2.5): Persistence and Trends in the Air Quality of Five India Cities

by
Luis A. Gil-Alana
1,2,* and
Nieves Carmona-González
2
1
Department of Economics, University of Navarra, 31009 Pamplona, Spain
2
Department of Economics, Universidad Francisco de Vitoria, 28223 Madrid, Spain
*
Author to whom correspondence should be addressed.
Atmosphere 2025, 16(5), 534; https://doi.org/10.3390/atmos16050534
Submission received: 25 March 2025 / Revised: 25 April 2025 / Accepted: 28 April 2025 / Published: 30 April 2025
(This article belongs to the Section Air Quality)

Abstract

Poor air quality in India has sparked our interest in studying the time series dynamics of PM2.5 in India’s five most populous cities (Mumbai, New Delhi, Hyderabad, Chennai, and Kolkata). Daily data for the period 2014–2023 are examined in the paper. Using fractional integration methods, we analyze the persistence, seasonality, and time trends of the data. The results indicate that all seriGewekees display fractional degrees of integration, being smaller than 1 and thus presenting mean reversion. Moreover, the time trends are significantly negative only for New Delhi and Kolkata, implying a continuous reduction in the level of pollution. These findings suggest that targeted interventions, such as stricter emission regulations, improved urban planning, and the promotion of clean technologies, are essential to sustain and amplify the observed improvements in air quality. The study also highlights the need for consistent and long-term efforts to address pollution in Mumbai, Hyderabad, and Chennai, where no significant reductions have been observed, emphasizing the importance of adapting policies to regional conditions. The paper’s findings can serve as a guide for air pollution management and for policymakers at the Central Pollution Control Board (CPCB), the governmental body responsible for monitoring and regulating environmental pollution in India.
Keywords: air quality; time trends; long memory; fractional integration; seasonality air quality; time trends; long memory; fractional integration; seasonality

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MDPI and ACS Style

Gil-Alana, L.A.; Carmona-González, N. Particulate Matter 2.5 (PM2.5): Persistence and Trends in the Air Quality of Five India Cities. Atmosphere 2025, 16, 534. https://doi.org/10.3390/atmos16050534

AMA Style

Gil-Alana LA, Carmona-González N. Particulate Matter 2.5 (PM2.5): Persistence and Trends in the Air Quality of Five India Cities. Atmosphere. 2025; 16(5):534. https://doi.org/10.3390/atmos16050534

Chicago/Turabian Style

Gil-Alana, Luis A., and Nieves Carmona-González. 2025. "Particulate Matter 2.5 (PM2.5): Persistence and Trends in the Air Quality of Five India Cities" Atmosphere 16, no. 5: 534. https://doi.org/10.3390/atmos16050534

APA Style

Gil-Alana, L. A., & Carmona-González, N. (2025). Particulate Matter 2.5 (PM2.5): Persistence and Trends in the Air Quality of Five India Cities. Atmosphere, 16(5), 534. https://doi.org/10.3390/atmos16050534

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