Validation of In-field Calibration for Low-Cost Sensors Measuring Ambient Particulate Matter in Kolkata, India

Nobell, Siddharth; Majumdar, Arnab; Mukherjee, Shovon; Chakraborty, Sukumar; Chatterjee, Sanjoy; Bose, S.; Dutta, Anindita; Sethuraman, Sandhya; Westervelt, Daniel M.; Sengupta, Shairik; Basu, Rakhi; McNeill, V. Faye

doi:10.4209/aaqr.230010

Cited by 1 publication

(1 citation statement)

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“…Use and development of low-cost air quality monitoring sensors should be encouraged at policy level to achieve high spatial and temporal coverage ( Margaritis et al, 2021 ; Bousiotis et al, 2023 ; Buelvas et al, 2023 ; Nobell et al, 2023 ). Similarly, the use of artificial intelligence-based algorithms should be encouraged to process the collected data.…”

Section: Challenges and Future Directionsmentioning

confidence: 99%

Carbon based sensors for air quality monitoring networks; middle east perspective

Shahid,

Shahzad,

Tutsak

et al. 2024

Front. Chem.

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IoT-based Sensors networks play a pivotal role in improving air quality monitoring in the Middle East. They provide real-time data, enabling precise tracking of pollution trends, informed decision-making, and increased public awareness. Air quality and dust pollution in the Middle East region may leads to various health issues, particularly among vulnerable populations. IoT-based Sensors networks help mitigate health risks by offering timely and accurate air quality data. Air pollution affects not only human health but also the region’s ecosystems and contributes to climate change. The economic implications of deteriorated air quality include healthcare costs and decreased productivity, underscore the need for effective monitoring and mitigation. IoT-based data can guide policymakers to align with Sustainable Development Goals (SDGs) related to health, clean water, and climate action. The conventional monitor based standard air quality instruments provide limited spatial coverage so there is strong need to continue research integrated with low-cost sensor technologies to make air quality monitoring more accessible, even in resource-constrained regions. IoT-based Sensors networks monitoring helps in understanding these environmental impacts. Among these IoT-based Sensors networks, sensors are of vital importance. With the evolution of sensors technologies, different types of sensors materials are available. Among this carbon based sensors are widely used for air quality monitoring. Carbon nanomaterial-based sensors (CNS) and carbon nanotubes (CNTs) as adsorbents exhibit unique capabilities in the measurement of air pollutants. These sensors are used to detect gaseous pollutants that includes oxides of nitrogen and Sulphur, and ozone, and volatile organic compounds (VOCs). This study provides comprehensive review of integration of carbon nanomaterials based sensors in IoT based network for better air quality monitoring and exploring the potential of machine learning and artificial intelligence for advanced data analysis, pollution source identification, integration of satellite and ground-based networks and future forecasting to design effective mitigation strategies. By prioritizing these recommendations, the Middle East and other regions, can further leverage IoT-based systems to improve air quality monitoring, safeguard public health, protect the environment, and contribute to sustainable development in the region.

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