Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors

Sensors, Год журнала: 2024, Номер 24(11), С. 3650 - 3650

Опубликована: Июнь 5, 2024

The use of low-cost environmental sensors has gained significant attention due to their affordability and potential intensify monitoring networks. These enable real-time various parameters, which can help identify pollution hotspots inform targeted mitigation strategies. Low-cost also facilitate citizen science projects, providing more localized granular data, making accessible communities. However, the accuracy reliability data generated by these be a concern, particularly without proper calibration. Calibration is challenging for variability in sensing materials, transducer designs, conditions. Therefore, standardized calibration protocols are necessary ensure sensor data. This review article addresses four critical questions related sensors. Firstly, it discusses why increasingly being used as an alternative high-cost In addition, self-calibration techniques how they outperform traditional techniques. Secondly, highlights importance selectivity sensitivity generating accurate Thirdly, examines impact functions on improved accuracies. Lastly, approaches that adopted improve sensors, such incorporating advanced analysis enhancing material design. reference-grade validation conclusion, have revolutionize monitoring, areas where methods not feasible. successful implementation. innovative enhance design

Язык: Английский

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Data Quality in IoT-Based Air Quality Monitoring Systems: a Systematic Mapping Study

Water Air & Soil Pollution, Год журнала: 2023, Номер 234(4)

Опубликована: Апрель 1, 2023

Abstract With the development of new technologies, particularly Internet Things (IoT), there has been an increase in deployment low-cost air quality monitoring systems. Compared to traditional robust stations, these systems provide real-time information with higher spatio-temporal resolution. These use inexpensive and sensors, lower accuracy as compared This fact raised some concern regarding data gathered by IoT systems, which may compromise performance environmental models. Considering relevance this scenario, paper presents a study associated IoT-based Following systematic mapping method, based on existing guidelines assess we have identified main Data Quality (DQ) dimensions corresponding DQ enhancement techniques. After analyzing more than 70 papers, found that most common targeted different works are precision, enhanced calibration Based our findings, present discussion challenges must be addressed order improve

Язык: Английский

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Low‐cost air quality monitoring networks for long‐term field campaigns: A review

Meteorological Applications, Год журнала: 2023, Номер 30(6)

Опубликована: Ноя. 1, 2023

Abstract The application of low‐cost air quality monitoring networks has substantially grown over the last few years, following technological advances in production cheap and portable pollution sensors, thus potentially greatly increasing limited spatial information on conditions provided by traditional stations. However, use sensors still presents many limitations, mostly related to reliability their measurements. Despite number papers focusing these issues, some challenges connected are poorly investigated understood, considering particular those long‐term applications integration within reference system. present review aims at filling this gap, analysing characteristics that were run across field campaigns, including geographical location, pollutants monitored, type stations employed, length campaign, with a attention assessing for deployment evaluation official networks. Moreover, critical analysis most insightful suggestions recommendations delivered literature, as well relevant is presented, highlighting open research areas outlining future challenges.

Язык: Английский

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Indoor air quality monitoring and source apportionment using low-cost sensors

Environmental Research Communications, Год журнала: 2024, Номер 6(1), С. 012001 - 012001

Опубликована: Янв. 1, 2024

Abstract Understanding of the various sources indoor air pollution requires quality (IAQ) data that is usually lacking. Such can be obtained using unobtrusive, low-cost sensors (LCS). The aim this review to examine recent literature published on LCS for IAQ measurements and determine whether these studies employed any methods identify or quantify pollution. Studies were reviewed in terms source apportionment employed, as well microenvironment type, geographical location, several metrics relating contribution outdoor pollutant ingress versus potential sources. We found out 60 relevant studies, just four apportionment, all which utilised receptor models. Most undertaken residential educational environments. There a lack other types microenvironments locations outside Europe North America. are inherent limitations with producing This applies external data, however even more challenging measure due its characteristics. environment heterogeneous, significant variability within space between different locations. Sensor placement, occupancy, activity reports, locations, contribute understanding variability. Outdoor pollutants into via building envelope, measurement environmental conditions, recording details fabric ventilation help apportion contributions. Whether not models from LCS, there parameters which, if carefully considered during campaigns, aid identification pollutants.

Язык: Английский

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Leveraging Citizen Science and Low-Cost Sensors to Characterize Air Pollution Exposure of Disadvantaged Communities in Southern California

International Journal of Environmental Research and Public Health, Год журнала: 2022, Номер 19(14), С. 8777 - 8777

Опубликована: Июль 19, 2022

Assessing exposure to fine particulate matter (PM

Язык: Английский

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Environmental justice analysis of wildfire-related PM2.5 exposure using low-cost sensors in California

The Science of The Total Environment, Год журнала: 2022, Номер 856, С. 159218 - 159218

Опубликована: Окт. 5, 2022

The increasing number and severity of wildfires is negatively impacting air quality for millions California residents each year. Community exposure to PM2.5 in two main population centers (San Francisco Bay area Los Angeles County area) was assessed using the low-cost PurpleAir sensor network record-setting 2020 wildfire season. Estimated concentrations study were compared census tract-level environmental justice vulnerability indicators, including environmental, health, demographic data. Higher positively correlated with poverty, cardiovascular emergency department visits, housing inequities. Sensors within 30 km actively burning showed statistically significant increases indoor (~800 %) outdoor (~540 during fires. Results indicate that emissions may exacerbate existing health disparities as well burden pollution disadvantaged communities, suggesting a need improve monitoring adaptive capacity among vulnerable populations.

Язык: Английский

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Methods for Urban Air Pollution Measurement and Forecasting: Challenges, Opportunities, and Solutions

Atmosphere, Год журнала: 2023, Номер 14(9), С. 1441 - 1441

Опубликована: Сен. 15, 2023

In today’s urban environments, accurately measuring and forecasting air pollution is crucial for combating the effects of pollution. Machine learning (ML) now a go-to method making detailed predictions about levels in cities. this study, we dive into how settings measured predicted. Using PRISMA methodology, chose relevant studies from well-known databases such as PubMed, Springer, IEEE, MDPI, Elsevier. We then looked closely at these papers to see they use ML algorithms, models, statistical approaches measure predict common pollutants. After review, narrowed our selection 30 that fit research goals best. share findings through thorough comparison papers, shedding light on most frequently predicted pollutants, models chosen predictions, which ones work best determining city quality. also take look Skopje, North Macedonia’s capital, an example still working its prediction systems. conclusion, there are solid methods out measurement prediction. Technological hurdles no longer major obstacle, meaning decision-makers have ready-to-use solutions help tackle issue

Язык: Английский

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Field and laboratory evaluation of PurpleAir low-cost aerosol sensors in monitoring indoor airborne particles

Building and Environment, Год журнала: 2023, Номер 234, С. 110127 - 110127

Опубликована: Фев. 22, 2023

Язык: Английский

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Cr-Doped Nanocrystalline TiO2-Cr2O3 Nanocomposites with p-p Heterojunction as a Stable Gas-Sensitive Material

International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(2), С. 499 - 499

Опубликована: Янв. 9, 2025

Nanocrystalline TiO2 is a perspective semiconductor gas-sensing material due to its long-term stability of performance, but it limited in application because high electrical resistance. In this paper, nanocomposite with p-p heterojunction introduced based on p-conducting Cr-doped combination Cr2O3. Materials were synthesized via single-step flame spray pyrolysis (FSP) technique and comprehensively studied by X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET) specific surface area analysis, transition electron microscopy (TEM), energy dispersive (EDX) spectroscopy, photoelectron spectroscopy (XPS), paramagnetic resonance (EPR), Raman spectroscopy. Gas sensor performance direct current (DC) mode was toward number gasses (H2, CO, CH4, NO2, H2S, NH3) as well volatile organic compounds (VOCs) (acetone, methanol, formaldehyde) dry humid conditions. The the obtained materials' gas evaluated alongside an ex situ study structural evolution. High sensitivity oxygenated VOCs lower detection limit below ppm level influence humidity shown. materials connection defect structure doped demonstrated.

Язык: Английский

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Insights on the Air Quality Story, Standard’s Evolution, and IoT’s Role to Monitor IAQ for an Appropriate Indoor Environment

IntechOpen eBooks, Год журнала: 2025, Номер unknown

Опубликована: Фев. 20, 2025

In recent decades, the degradation of air quality has become a growing global concern, driven by rapid industrialization, increased urbanization, and emergence new health threats such as COVID-19 pandemic. This chapter explores evolution indoor (IAQ) critical issue, with focus on development implementation international guidelines standards that regulate key pollutants, including carbon dioxide (CO2), monoxide (CO), particulate matter (PM10, PM2.5). These apply to diverse environments hospitals, office buildings, enclosed transport cabins, where maintaining healthy is vital for human well-being. A central theme integration Internet Things (IoT) into IAQ monitoring management systems. Specifically, study highlights how Low-Cost Sensors (LCSs) are transforming traditional enabling real-time, continuous tracking pollutants. The examines role IoT-based technologies in enhancing regulatory compliance, improving practices, providing actionable data mitigating pollutant exposure. Furthermore, it assesses challenges opportunities presented IoT adoption management, issues related sensor accuracy, privacy, long-term sustainability. By analyzing case studies real-world applications, this offers insights technological advancements shaping future management. findings underscore importance aligning innovation evolving ensure safer healthier environments. Ultimately, work contributes broader discourse smart networks can support efforts enhance both public private spaces.

Язык: Английский

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