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A novel integrated strategy for air quality monitoring in volcanic-hydrothermal, wetland, urban and industrial areas.

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Title: A novel integrated strategy for air quality monitoring in volcanic-hydrothermal, wetland, urban and industrial areas.
Authors: Biagi, R.1 (AUTHOR) rebecca.biagi@unifi.it, Randazzo, A.1,2 (AUTHOR), Venturi, S.1,3,4 (AUTHOR), Capecchiacci, F.1,3,5 (AUTHOR), Vaselli, O.1,3,6 (AUTHOR), Tassi, F.1,2,3 (AUTHOR)
Source: Atmospheric Environment. Dec2025, Vol. 362, pN.PAG-N.PAG. 1p.
Subject Terms: *Air quality monitoring, *Pollutants, *Volcanology, *Wetlands, *Environmental monitoring, *Cities & towns, Machine learning, Geographical positions
Abstract: In the present era, environmental challenges are becoming increasingly prominent, necessitating innovative solutions that facilitate air quality monitoring and mitigation strategies aimed at safeguarding human health, the climate, and ecosystems. This study demonstrates how combining low-cost and high-tech stations (through integrated fixed and mobile monitoring) offers an effective and complementary approach. The strategy was applied in diverse environments (volcanic-hydrothermal areas, a wetland, and a CO 2 production plant), providing high spatial and temporal resolution data. Fixed low-cost stations, calibrated using machine-learning techniques, enabled continuous monitoring of key pollutants (CO 2 , CH 4 , PM 2.5 , PM 10), depicting temporal variability linked to atmospheric dynamics, meteorological conditions, and emission strength. Their affordability allowed denser monitoring networks, enhancing spatial resolution and identifying critical areas that require long-term observation. This was especially effective in the wetland, where eutrophic zones emitting higher CH 4 levels were clearly identified. Mobile high-tech monitoring complemented fixed data by extending spatial coverage, with repeated transects allowing partial temporal tracking. An integrated analysis of pollutant concentrations, wind patterns, and isotopic ratios (δ13C of CO 2 and CH 4) enabled source apportionment, distinguishing between geogenic-hydrothermal and anthropogenic emissions, particularly in volcanic and industrial contexts. Despite its strengths, some limitations persist in the combination of the two approaches: (i) the drift over time and aging of low-cost sensors were not addressed, despite the necessity of their evaluation to ensure their proper use over longer monitoring periods; (ii) mobile monitoring lacks continuous temporal data and measurements are not simultaneous, limiting its effectiveness for tracking long-term trends and comparing pollutant levels across different areas. • A novel strategy for air monitoring is developed and tested. • Fixed low-cost and mobile high-tech monitoring instruments are combined. • The strategy includes CO 2 , CH 4 , PM, H 2 S, SO 2 , δ13C-CO 2 and δ13C-CH 4 measurements. • Hydrothermal-volcanic, wetland, urban and industrial areas were investigated. • The strategy provides insights into pollution sources, mixing processes, and critical sites. [ABSTRACT FROM AUTHOR]
Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A novel integrated strategy for air quality monitoring in volcanic-hydrothermal, wetland, urban and industrial areas.
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  Data: <searchLink fieldCode="AR" term="%22Biagi%2C+R%2E%22">Biagi, R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> rebecca.biagi@unifi.it</i><br /><searchLink fieldCode="AR" term="%22Randazzo%2C+A%2E%22">Randazzo, A.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Venturi%2C+S%2E%22">Venturi, S.</searchLink><relatesTo>1,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Capecchiacci%2C+F%2E%22">Capecchiacci, F.</searchLink><relatesTo>1,3,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vaselli%2C+O%2E%22">Vaselli, O.</searchLink><relatesTo>1,3,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tassi%2C+F%2E%22">Tassi, F.</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Environment%22">Atmospheric Environment</searchLink>. Dec2025, Vol. 362, pN.PAG-N.PAG. 1p.
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  Data: *<searchLink fieldCode="DE" term="%22Air+quality+monitoring%22">Air quality monitoring</searchLink><br />*<searchLink fieldCode="DE" term="%22Pollutants%22">Pollutants</searchLink><br />*<searchLink fieldCode="DE" term="%22Volcanology%22">Volcanology</searchLink><br />*<searchLink fieldCode="DE" term="%22Wetlands%22">Wetlands</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+monitoring%22">Environmental monitoring</searchLink><br />*<searchLink fieldCode="DE" term="%22Cities+%26+towns%22">Cities & towns</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Geographical+positions%22">Geographical positions</searchLink>
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  Data: In the present era, environmental challenges are becoming increasingly prominent, necessitating innovative solutions that facilitate air quality monitoring and mitigation strategies aimed at safeguarding human health, the climate, and ecosystems. This study demonstrates how combining low-cost and high-tech stations (through integrated fixed and mobile monitoring) offers an effective and complementary approach. The strategy was applied in diverse environments (volcanic-hydrothermal areas, a wetland, and a CO 2 production plant), providing high spatial and temporal resolution data. Fixed low-cost stations, calibrated using machine-learning techniques, enabled continuous monitoring of key pollutants (CO 2 , CH 4 , PM 2.5 , PM 10), depicting temporal variability linked to atmospheric dynamics, meteorological conditions, and emission strength. Their affordability allowed denser monitoring networks, enhancing spatial resolution and identifying critical areas that require long-term observation. This was especially effective in the wetland, where eutrophic zones emitting higher CH 4 levels were clearly identified. Mobile high-tech monitoring complemented fixed data by extending spatial coverage, with repeated transects allowing partial temporal tracking. An integrated analysis of pollutant concentrations, wind patterns, and isotopic ratios (δ13C of CO 2 and CH 4) enabled source apportionment, distinguishing between geogenic-hydrothermal and anthropogenic emissions, particularly in volcanic and industrial contexts. Despite its strengths, some limitations persist in the combination of the two approaches: (i) the drift over time and aging of low-cost sensors were not addressed, despite the necessity of their evaluation to ensure their proper use over longer monitoring periods; (ii) mobile monitoring lacks continuous temporal data and measurements are not simultaneous, limiting its effectiveness for tracking long-term trends and comparing pollutant levels across different areas. • A novel strategy for air monitoring is developed and tested. • Fixed low-cost and mobile high-tech monitoring instruments are combined. • The strategy includes CO 2 , CH 4 , PM, H 2 S, SO 2 , δ13C-CO 2 and δ13C-CH 4 measurements. • Hydrothermal-volcanic, wetland, urban and industrial areas were investigated. • The strategy provides insights into pollution sources, mixing processes, and critical sites. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=188708680
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.atmosenv.2025.121567
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Air quality monitoring
        Type: general
      – SubjectFull: Pollutants
        Type: general
      – SubjectFull: Volcanology
        Type: general
      – SubjectFull: Wetlands
        Type: general
      – SubjectFull: Environmental monitoring
        Type: general
      – SubjectFull: Cities & towns
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Geographical positions
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    Titles:
      – TitleFull: A novel integrated strategy for air quality monitoring in volcanic-hydrothermal, wetland, urban and industrial areas.
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          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 362
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