Assessment and forecasting of particulate matter emissions and structural health monitoring of buildings in Bangalore
Abstract Particulate Matter (PM) emissions have emerged as a critical global concern due to rapid urbanisation, increased vehicular traffic, and construction activities. These emissions not only harm human health and the environment but also degrade building materials, posing a threat to infrastruct...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-00814-9 |
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| author | L. Pinky Devi R. Chandana Din Bandhu |
| author_facet | L. Pinky Devi R. Chandana Din Bandhu |
| author_sort | L. Pinky Devi |
| collection | DOAJ |
| description | Abstract Particulate Matter (PM) emissions have emerged as a critical global concern due to rapid urbanisation, increased vehicular traffic, and construction activities. These emissions not only harm human health and the environment but also degrade building materials, posing a threat to infrastructure. This study focuses on assessing PM emissions, forecasting Air Quality Index (AQI) levels, and evaluating the structural health of buildings in Bangalore. Data from 12 monitoring stations across the city, collected between 2013 and 2021, were analysed to identify key pollutants, seasonal variations, and their impact on buildings. The study reveals that PM10 and PM2.5 are the primary pollutants, with concentrations peaking during summer and winter, while monsoon seasons show lower levels. A forecasting model with 93% accuracy was developed to predict AQI levels, demonstrating a strong correlation between predicted and actual values. Structural health monitoring, conducted using Non-Destructive Testing methods, highlights significant deterioration in buildings located in high-pollution areas, such as the Peenya Industry and K.R. Market. The findings underscore the urgent need for measures to mitigate pollution’s impact on both public health and infrastructure. This study provides valuable insights for policymakers and urban planners to develop targeted strategies for improving air quality and preserving building integrity in rapidly urbanising cities. |
| format | Article |
| id | doaj-art-e7c151bd24ee4936a7d197ad4bbfb23c |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e7c151bd24ee4936a7d197ad4bbfb23c2025-08-20T03:08:40ZengNature PortfolioScientific Reports2045-23222025-05-0115111910.1038/s41598-025-00814-9Assessment and forecasting of particulate matter emissions and structural health monitoring of buildings in BangaloreL. Pinky Devi0R. Chandana1Din Bandhu2Department of Civil Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher EducationDepartment of Civil Engineering, Nagarjuna College of Engineering and TechnologyIndependent ResearcherAbstract Particulate Matter (PM) emissions have emerged as a critical global concern due to rapid urbanisation, increased vehicular traffic, and construction activities. These emissions not only harm human health and the environment but also degrade building materials, posing a threat to infrastructure. This study focuses on assessing PM emissions, forecasting Air Quality Index (AQI) levels, and evaluating the structural health of buildings in Bangalore. Data from 12 monitoring stations across the city, collected between 2013 and 2021, were analysed to identify key pollutants, seasonal variations, and their impact on buildings. The study reveals that PM10 and PM2.5 are the primary pollutants, with concentrations peaking during summer and winter, while monsoon seasons show lower levels. A forecasting model with 93% accuracy was developed to predict AQI levels, demonstrating a strong correlation between predicted and actual values. Structural health monitoring, conducted using Non-Destructive Testing methods, highlights significant deterioration in buildings located in high-pollution areas, such as the Peenya Industry and K.R. Market. The findings underscore the urgent need for measures to mitigate pollution’s impact on both public health and infrastructure. This study provides valuable insights for policymakers and urban planners to develop targeted strategies for improving air quality and preserving building integrity in rapidly urbanising cities.https://doi.org/10.1038/s41598-025-00814-9Particulate matterEmissionsAQIRegression modelingStructural health monitoring |
| spellingShingle | L. Pinky Devi R. Chandana Din Bandhu Assessment and forecasting of particulate matter emissions and structural health monitoring of buildings in Bangalore Scientific Reports Particulate matter Emissions AQI Regression modeling Structural health monitoring |
| title | Assessment and forecasting of particulate matter emissions and structural health monitoring of buildings in Bangalore |
| title_full | Assessment and forecasting of particulate matter emissions and structural health monitoring of buildings in Bangalore |
| title_fullStr | Assessment and forecasting of particulate matter emissions and structural health monitoring of buildings in Bangalore |
| title_full_unstemmed | Assessment and forecasting of particulate matter emissions and structural health monitoring of buildings in Bangalore |
| title_short | Assessment and forecasting of particulate matter emissions and structural health monitoring of buildings in Bangalore |
| title_sort | assessment and forecasting of particulate matter emissions and structural health monitoring of buildings in bangalore |
| topic | Particulate matter Emissions AQI Regression modeling Structural health monitoring |
| url | https://doi.org/10.1038/s41598-025-00814-9 |
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