A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements
High concentrations of pollutants in urban areas generate cardiovascular and respiratory problems in citizens; these are aggravated by the persistence of summer heatwaves. For this reason, in this research, we propose a fuzzy-based method for detecting air pollutant hotspots and determining critical...
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MDPI AG
2025-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/7/2160 |
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| author | Barbara Cardone Ferdinando Di Martino Cristiano Mauriello Vittorio Miraglia |
| author_facet | Barbara Cardone Ferdinando Di Martino Cristiano Mauriello Vittorio Miraglia |
| author_sort | Barbara Cardone |
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| description | High concentrations of pollutants in urban areas generate cardiovascular and respiratory problems in citizens; these are aggravated by the persistence of summer heatwaves. For this reason, in this research, we propose a fuzzy-based method for detecting air pollutant hotspots and determining critical urban areas for air pollution during heatwaves. After acquiring the pollutant concentration values recorded by monitoring stations during heatwaves, a spatial interpolation method is applied to obtain the distribution of the pollutant concentration during heatwaves and, subsequently, a fuzzification process is performed to determine urban hotspots in which the pollutant concentration assumes critical values. Finally, the critical urban areas are determined, consisting of the areas within hotspots with a high population density exposed to health risks. The method was implemented in a GIS platform and tested on an urban study area in the Lombardy region, Italy, to determine the urban areas with high criticality during the heatwaves that occurred in the summer months of 2024. The test results show that the method can provide valid support for decision makers and local administrators when evaluating which urban areas are most critical for the population due to the high rate of air pollution during heatwaves. |
| format | Article |
| id | doaj-art-43e250622b0b4867a9ab00decf79a50f |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj-art-43e250622b0b4867a9ab00decf79a50f2025-08-20T03:08:56ZengMDPI AGSensors1424-82202025-03-01257216010.3390/s25072160A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban SettlementsBarbara Cardone0Ferdinando Di Martino1Cristiano Mauriello2Vittorio Miraglia3Department of Architecture, University of Naples Federico II, Via Toledo 402, 80134 Napoli, ItalyDepartment of Architecture, University of Naples Federico II, Via Toledo 402, 80134 Napoli, ItalyDepartment of Architecture, University of Naples Federico II, Via Toledo 402, 80134 Napoli, ItalyDepartment of Architecture, University of Naples Federico II, Via Toledo 402, 80134 Napoli, ItalyHigh concentrations of pollutants in urban areas generate cardiovascular and respiratory problems in citizens; these are aggravated by the persistence of summer heatwaves. For this reason, in this research, we propose a fuzzy-based method for detecting air pollutant hotspots and determining critical urban areas for air pollution during heatwaves. After acquiring the pollutant concentration values recorded by monitoring stations during heatwaves, a spatial interpolation method is applied to obtain the distribution of the pollutant concentration during heatwaves and, subsequently, a fuzzification process is performed to determine urban hotspots in which the pollutant concentration assumes critical values. Finally, the critical urban areas are determined, consisting of the areas within hotspots with a high population density exposed to health risks. The method was implemented in a GIS platform and tested on an urban study area in the Lombardy region, Italy, to determine the urban areas with high criticality during the heatwaves that occurred in the summer months of 2024. The test results show that the method can provide valid support for decision makers and local administrators when evaluating which urban areas are most critical for the population due to the high rate of air pollution during heatwaves.https://www.mdpi.com/1424-8220/25/7/2160air pollutionheatwavehotspotfuzzy partitionspatial interpolation |
| spellingShingle | Barbara Cardone Ferdinando Di Martino Cristiano Mauriello Vittorio Miraglia A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements Sensors air pollution heatwave hotspot fuzzy partition spatial interpolation |
| title | A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements |
| title_full | A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements |
| title_fullStr | A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements |
| title_full_unstemmed | A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements |
| title_short | A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements |
| title_sort | fuzzy based model to detect hotspots of air pollutants during heatwaves in urban settlements |
| topic | air pollution heatwave hotspot fuzzy partition spatial interpolation |
| url | https://www.mdpi.com/1424-8220/25/7/2160 |
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