Air pollution remains a critical global challenge, disproportionately impacting vulnerable communities in low- and middle-income countries. Weak policies, fragmented institutions, limited financial and computational resources, and lack of comprehensive monitoring infrastructure hinder effective air quality (AQ) management. Accessible and affordable AQ sensors (low-cost sensor systems, LCS) offer a promising solution by enabling dense spatial networks, rapid deployment, citizen engagement, and integration with other data sources. Yet, persistent challenges remain around data quality, calibration, standardisation, integration with regulatory frameworks, long-term sustainability, and equitable access. Addressing these issues requires strong local capacity-building and international collaboration.
This session will showcase best practices in using LCS for AQ monitoring. We will explore case studies where LCS enhance air quality monitoring products (integrating satellite with air sensor information), verify air quality forecasting systems, and support public health and community monitoring initiatives, particularly, but not limited, to resource-limited settings. This session promotes cutting-edge research, case studies, and best practices for using air sensors in air quality monitoring. These aspects will help to enhance air quality monitoring capabilities and foster strong local and international collaboration. It will also explore strategies for sustainable practices that empower communities and ensure equitable partnerships.