Urban odour annoyance management: An advanced embedded system for real-time monitoring enhanced by citizen science
Odour annoyance in urban contexts is of particular concerns and requires effective monitoring in order to avoid complaints from citizens.The research presents an advanced and integrated odour monitoring system, which combines analytical, senso-instrumental and citizen science tools, for the continuo...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-06-01
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| Series: | Case Studies in Chemical and Environmental Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666016424001063 |
| _version_ | 1797220465757913088 |
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| author | Giuseppina Oliva Federico Cangialosi Michele Grimaldi Isidoro Fasolino Vincenzo Belgiorno Vincenzo Naddeo Tiziano Zarra |
| author_facet | Giuseppina Oliva Federico Cangialosi Michele Grimaldi Isidoro Fasolino Vincenzo Belgiorno Vincenzo Naddeo Tiziano Zarra |
| author_sort | Giuseppina Oliva |
| collection | DOAJ |
| description | Odour annoyance in urban contexts is of particular concerns and requires effective monitoring in order to avoid complaints from citizens.The research presents an advanced and integrated odour monitoring system, which combines analytical, senso-instrumental and citizen science tools, for the continuous and proactive characterization of the odours in ambient air to prevent odour annoyance. The on-site validation of the system was implemented integrating data collected by IOMSs and air quality station with 768 reports collected by a newly designed Citizen Science APP. A maximum density of 329 signals per 0.01 km2 was recorded at south-west of the odour sources investigated. |
| first_indexed | 2024-04-24T12:49:59Z |
| format | Article |
| id | doaj.art-6abdfb8cfe874ae59ba0797ab3c3eebc |
| institution | Directory Open Access Journal |
| issn | 2666-0164 |
| language | English |
| last_indexed | 2024-04-24T12:49:59Z |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Chemical and Environmental Engineering |
| spelling | doaj.art-6abdfb8cfe874ae59ba0797ab3c3eebc2024-04-06T04:40:33ZengElsevierCase Studies in Chemical and Environmental Engineering2666-01642024-06-019100712Urban odour annoyance management: An advanced embedded system for real-time monitoring enhanced by citizen scienceGiuseppina Oliva0Federico Cangialosi1Michele Grimaldi2Isidoro Fasolino3Vincenzo Belgiorno4Vincenzo Naddeo5Tiziano Zarra6Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, via Giovanni Paolo II 132, 84084, Fisciano, SA, ItalyTecnologia e Ambiente (T&A), S.P. 237 Per Noci, 8, 70017, Putignano, BA, ItalyDepartment of Civil Engineering, University of Salerno, Via Giovanni Paolo II, 132, SA, Fisciano, 84084, ItalyDepartment of Civil Engineering, University of Salerno, Via Giovanni Paolo II, 132, SA, Fisciano, 84084, ItalySanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, via Giovanni Paolo II 132, 84084, Fisciano, SA, Italy; Inter-University Centre for Prediction and Prevention of Relevant Hazards (Centro Universitario Per La Previsione E Prevenzione Grandi Rischi, C.U.G.RI.), Via Giovanni Paolo II, SA, Fisciano, ItalySanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, via Giovanni Paolo II 132, 84084, Fisciano, SA, Italy; Corresponding author.Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, via Giovanni Paolo II 132, 84084, Fisciano, SA, ItalyOdour annoyance in urban contexts is of particular concerns and requires effective monitoring in order to avoid complaints from citizens.The research presents an advanced and integrated odour monitoring system, which combines analytical, senso-instrumental and citizen science tools, for the continuous and proactive characterization of the odours in ambient air to prevent odour annoyance. The on-site validation of the system was implemented integrating data collected by IOMSs and air quality station with 768 reports collected by a newly designed Citizen Science APP. A maximum density of 329 signals per 0.01 km2 was recorded at south-west of the odour sources investigated.http://www.sciencedirect.com/science/article/pii/S2666016424001063Odour impactIOMSSmart citiesAir qualityMonitoring |
| spellingShingle | Giuseppina Oliva Federico Cangialosi Michele Grimaldi Isidoro Fasolino Vincenzo Belgiorno Vincenzo Naddeo Tiziano Zarra Urban odour annoyance management: An advanced embedded system for real-time monitoring enhanced by citizen science Case Studies in Chemical and Environmental Engineering Odour impact IOMS Smart cities Air quality Monitoring |
| title | Urban odour annoyance management: An advanced embedded system for real-time monitoring enhanced by citizen science |
| title_full | Urban odour annoyance management: An advanced embedded system for real-time monitoring enhanced by citizen science |
| title_fullStr | Urban odour annoyance management: An advanced embedded system for real-time monitoring enhanced by citizen science |
| title_full_unstemmed | Urban odour annoyance management: An advanced embedded system for real-time monitoring enhanced by citizen science |
| title_short | Urban odour annoyance management: An advanced embedded system for real-time monitoring enhanced by citizen science |
| title_sort | urban odour annoyance management an advanced embedded system for real time monitoring enhanced by citizen science |
| topic | Odour impact IOMS Smart cities Air quality Monitoring |
| url | http://www.sciencedirect.com/science/article/pii/S2666016424001063 |
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