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Related papers: Evaluating the Performance of Low-Cost PM2.5 Senso…

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Low-cost sensors (LCS) are affordable, compact, and often portable devices designed to measure various environmental parameters, including air quality. These sensors are intended to provide accessible and cost-effective solutions for…

Signal Processing · Electrical Eng. & Systems 2023-08-29 M V Narayana , Devendra Jalihal , Shiva Nagendra

Constructing high resolution air pollution maps at lower cost is crucial for sustainable city management and public health risk assessment. However, traditional fixed-site monitoring lacks spatial coverage, while mobile low-cost sensors…

Machine Learning · Computer Science 2025-03-18 Rui Xu , Dawen Yao , Yuzhuang Pian , Ruhui Cao , Yixin Fu , Xinru Yang , Ting Gan , Yonghong Liu

Low-cost particulate matter (PM) sensors have become increasingly popular due to their compact size, low power consumption, and cost-effective installation and maintenance. While several studies have explored the effects of meteorological…

Systems and Control · Electrical Eng. & Systems 2025-04-10 Gulshan Kumar , Prasannaa Kumar D , Jay Dhariwal , Seshan Srirangarajan

Low-cost particulate matter sensors (LCS) are an important source of air quality data, improving the spatial and temporal resolution of data gathered by sparsely placed official monitoring stations. Their readings, however, are subject to…

Atmospheric and Oceanic Physics · Physics 2024-03-15 Robert Blaga

The use of low-cost sensors in air quality monitoring networks is still a much-debated topic among practitioners: they are much cheaper than traditional air quality monitoring stations set up by public authorities (a few hundred dollars…

Signal Processing · Electrical Eng. & Systems 2020-06-23 Thibaut Cassard , Grégoire Jauvion , David Lissmyr

Environmental Protection Agency (EPA) air quality (AQ) monitors, the gold standard for measuring air pollutants, are sparsely positioned across the US due to their costliness. Low-cost sensors (LCS) are increasingly being used by the public…

Low-cost air quality sensors (LCS) provide a practical alternative to expensive regulatory-grade instruments, making dense urban monitoring networks possible. Yet their adoption is limited by calibration challenges, including sensor drift,…

Machine Learning · Computer Science 2026-04-24 Arindam Sengupta , Tony Bush , Ben Marner , Jose Miguel Pérez , Soledad Le Clainche

This study addresses the critical challenge of modeling and mapping urban air quality to ascertain pollutant concentrations in unmonitored locations. The advent of low-cost sensors, particularly those deployed in vehicular networks,…

Air pollutant exposure exhibits significant spatial and temporal variability, with localized hotspots, particularly in traffic microenvironments, posing health risks to commuters. Although widely used for air quality assessment, fixed-site…

Signal Processing · Electrical Eng. & Systems 2025-06-04 Hui Zhong , Hongliang Lu , Ting Gan , Yonghong Liu , Xinhu Zheng

Low-cost sensors (LCS) are increasingly being used to measure fine particulate matter (PM2.5) concentrations in cities around the world. One of the most commonly deployed LCS is the PurpleAir with about 15,000 sensors deployed in the United…

Considerable financial resources are allocated for measuring ambient air pollution in the United States, yet the locations for these monitoring sites may not be optimized to capture the full extent of current pollution variability. Prior…

Applications · Statistics 2022-02-18 Makoto M. Kelp , Samuel Lin , J. Nathan Kutz , Loretta J. Mickley

Low-cost mobile sensors can be used to collect PM$_{2.5}$ concentration data throughout an entire city. However, identifying air pollution hotspots from the data is challenging due to the uneven spatial sampling, temporal variations in the…

Air pollution in urban areas has severe consequences for both human health and the environment, predominantly caused by exhaust emissions from vehicles. To address the issue of air pollution awareness, Air Pollution Monitoring systems are…

Machine Learning · Computer Science 2023-07-04 Hemanth Karnati

The significance of air pollution and the problems associated with it are fueling deployments of air quality monitoring stations worldwide. The most common approach for air quality monitoring is to rely on environmental monitoring stations,…

Signal Processing · Electrical Eng. & Systems 2021-01-26 Francesco Concas , Julien Mineraud , Eemil Lagerspetz , Samu Varjonen , Xiaoli Liu , Kai Puolamäki , Petteri Nurmi , Sasu Tarkoma

To mitigate the significant biases/errors in research studying the associations between PM and health, which are introduced by the coarse/inadequate assessments of PM exposure from conventional PM monitoring paradigm, a personalized…

Systems and Control · Electrical Eng. & Systems 2022-07-13 Wei-Ying Yi , Yu Zhou , Ya-Fen Chan , Yee Leung , Kam-Sang Woo , Wen-Wei Che , Kai-Hon Lau , Jia-Min Chen , Kwong-Sak Leung

Urban air quality is a major concern today. Concentrations of pollutants, such as nitrogen dioxide, must be monitored to ensure that they do not exceed hazardous thresholds. For this reason, scarse reference stations, which are generally…

Applications · Statistics 2026-03-30 Emma Thulliez , Camille Coron

The use of low-cost sensors in conjunction with high-precision instrumentation for air pollution monitoring has shown promising results in recent years. One of the main challenges for these sensors has been the quality of their data, which…

Signal Processing · Electrical Eng. & Systems 2022-06-03 Pau Ferrer-Cid , Julio Garcia-Calvete , Aina Main-Nadal , Zhe Ye , Jose M. Barcelo-Ordinas , Jorge Garcia-Vidal

Air pollution is a major global environmental health threat, in particular for people who live or work near pollution sources. Areas adjacent to pollution sources often have high ambient pollution concentrations, and those areas are…

Machine Learning · Computer Science 2022-11-16 Yawen Zhang , Michael Hannigan , Qin Lv

Air pollution constitutes a global problem of paramount importance that affects not only human health, but also the environment. The existence of spatial and temporal data regarding the concentrations of pollutants is crucial for performing…

Machine Learning · Computer Science 2024-02-13 Teresa Bernardino , Maria Alexandra Oliveira , João Nuno Silva

Low-cost sensors measurements are noisy, which limits large-scale adaptability in airquality monitoirng. Calibration is generally used to get good estimates of air quality measurements out from LCS. In order to do this, LCS sensors are…

Signal Processing · Electrical Eng. & Systems 2024-02-16 M V Narayana , Kranthi Kumar Rachvarapu , Devendra Jalihal , Shiva Nagendra S M
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