Particulate Matter 2.5 (PM<sub>2.5</sub>): Persistence and Trends in the Air Quality of Five India Cities
Poor air quality in India has sparked our interest in studying the time series dynamics of PM<sub>2.5</sub> 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 integrati...
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MDPI AG
2025-04-01
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| author | Luis A. Gil-Alana Nieves Carmona-González |
| author_facet | Luis A. Gil-Alana Nieves Carmona-González |
| author_sort | Luis A. Gil-Alana |
| collection | DOAJ |
| description | Poor air quality in India has sparked our interest in studying the time series dynamics of PM<sub>2.5</sub> 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. |
| format | Article |
| id | doaj-art-62886f5ae23b42d88f7dd2e48d698e49 |
| institution | Kabale University |
| issn | 2073-4433 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj-art-62886f5ae23b42d88f7dd2e48d698e492025-08-20T03:47:50ZengMDPI AGAtmosphere2073-44332025-04-0116553410.3390/atmos16050534Particulate Matter 2.5 (PM<sub>2.5</sub>): Persistence and Trends in the Air Quality of Five India CitiesLuis A. Gil-Alana0Nieves Carmona-González1Department of Economics, University of Navarra, 31009 Pamplona, SpainDepartment of Economics, Universidad Francisco de Vitoria, 28223 Madrid, SpainPoor air quality in India has sparked our interest in studying the time series dynamics of PM<sub>2.5</sub> 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.https://www.mdpi.com/2073-4433/16/5/534air qualitytime trendslong memoryfractional integrationseasonality |
| spellingShingle | Luis A. Gil-Alana Nieves Carmona-González Particulate Matter 2.5 (PM<sub>2.5</sub>): Persistence and Trends in the Air Quality of Five India Cities Atmosphere air quality time trends long memory fractional integration seasonality |
| title | Particulate Matter 2.5 (PM<sub>2.5</sub>): Persistence and Trends in the Air Quality of Five India Cities |
| title_full | Particulate Matter 2.5 (PM<sub>2.5</sub>): Persistence and Trends in the Air Quality of Five India Cities |
| title_fullStr | Particulate Matter 2.5 (PM<sub>2.5</sub>): Persistence and Trends in the Air Quality of Five India Cities |
| title_full_unstemmed | Particulate Matter 2.5 (PM<sub>2.5</sub>): Persistence and Trends in the Air Quality of Five India Cities |
| title_short | Particulate Matter 2.5 (PM<sub>2.5</sub>): Persistence and Trends in the Air Quality of Five India Cities |
| title_sort | particulate matter 2 5 pm sub 2 5 sub persistence and trends in the air quality of five india cities |
| topic | air quality time trends long memory fractional integration seasonality |
| url | https://www.mdpi.com/2073-4433/16/5/534 |
| work_keys_str_mv | AT luisagilalana particulatematter25pmsub25subpersistenceandtrendsintheairqualityoffiveindiacities AT nievescarmonagonzalez particulatematter25pmsub25subpersistenceandtrendsintheairqualityoffiveindiacities |