Preprints
https://doi.org/10.5194/egusphere-2025-783
https://doi.org/10.5194/egusphere-2025-783
18 Jun 2025
 | 18 Jun 2025
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

InAPI (v1.0): an Excel-based Indoor Air Pollution Inventory tool to visualise activity-based indoor concentrations of pollutants and their emission rates for the UK

Andrea Mazzeo, Christian Pfrang, and Zaheer Ahmad Nasir

Abstract. Indoor air quality (IAQ) has become a critical focus of research due to the substantial amount of time people spend indoors (approximately 80–90 % of their lives), where a significant proportion of air pollution exposure occurs. However, understanding how time and activity dependent sources, as well as built environment characteristics, influence pollutant emissions and distributions remains very limited. Addressing these challenges, InAPI — an Excel-based Indoor Air Pollution Inventory tool — has been developed using data synthesised from a comprehensive review of UK indoor air pollution research. For the development of the InAPI tool, we have categorised existing literature by pollutant types, indoor environments, and activities, identifying significant knowledge gaps and offering an open-access database of typical pollutant concentrations and emission rates. InAPI leverages this database, which includes estimates of emissions from multiple sources based on chemical mass balance methods, to enable users to visualise indoor pollutant levels and emission characteristics across the varied UK indoor settings. Despite the fragmented methodologies in historical IAQ research and the underrepresentation of key sources, pollutants, and environment-specific characteristics (in particular ventilation and occupant behaviour), InAPI consolidates this evidence into a practical and easy-to-use tool. This tool facilitates standardisation of IAQ measurement protocols and the creation of activity-based indoor emission inventories, bridging critical research gaps. By providing a robust platform for understanding indoor air pollutant dynamics, InAPI represents a significant step forward in advancing IAQ research in the UK and beyond given the transferability of the approach, supporting efforts to mitigate indoor air pollution and inform policy initiatives nationally and globally.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Andrea Mazzeo, Christian Pfrang, and Zaheer Ahmad Nasir

Status: open (until 19 Aug 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2025-783', Juan Antonio Añel, 23 Jun 2025 reply
    • AC1: 'Reply on CEC1', Zaheer Ahmad Nasar, 11 Jul 2025 reply
      • CC1: 'Reply on AC1', Christian Pfrang, 11 Jul 2025 reply
Andrea Mazzeo, Christian Pfrang, and Zaheer Ahmad Nasir

Data sets

Indoor Air Quality Emissions & Modelling System (IAQ-EMS) - Indoor Air pollutants database A. Mazzeo et al. https://doi.org/10.5281/zenodo.15630355

Model code and software

Indoor Air Pollutants Inventory (InAPI) Tool A. Mazzeo et al. https://doi.org/10.5281/zenodo.15630454

Andrea Mazzeo, Christian Pfrang, and Zaheer Ahmad Nasir

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Short summary
Indoor air pollution is a serious public health risk. There is an urgent need to understand how various sources contribute to air pollution over time in homes, workplaces, vehicles, and recreational areas. The InAPI tool is built on a database of indoor air pollutants in the UK. It organizes information about pollutants, environments, and activities, and provides data on indoor pollutant levels and their emission rates. This is crucial to guide future research in managing indoor air quality.
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