Article
Chemistry, Analytical
Patricia Arroyo, Jaime Gomez-Suarez, Jose Ignacio Suarez, Jesus Lozano
Summary: This paper introduces a portable device for outdoor air quality measurement, utilizing commercial sensors to measure main pollutants and other values, demonstrating good performance and connection to a cloud platform through IoT technology. Results show satisfactory performance during a two-month field campaign in Badajoz, Spain.
Article
Environmental Studies
Naser Hossein Motlagh, Martha A. Zaidan, Pak L. Fung, Eemil Lagerspetz, Kasimir Aula, Samu Varjonen, Matti Siekkinen, Andrew Rebeiro-Hargrave, Tuukka Petaja, Yutaka Matsumi, Markku Kulmala, Tareq Hussein, Petteri Nurmi, Sasu Tarkoma
Summary: Low-cost sensors can accurately capture the overall exposure of commuters and provide insights into variations within transport modalities. They can also capture subtle variations caused by factors such as different routes, passenger density, and location within a carriage.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Chemistry, Analytical
Georgi Tancev
Summary: This study evaluates the opportunity to improve recalibration intervals and measurement results by using calibration data for predictive maintenance. The behavior of unit-to-unit variability and various drift components on the performance of the algorithms is discussed. Simulation results suggest that unsupervised anomaly detection does not translate to every sensor system due to unfavorable arrangements of drifts.
Article
Chemistry, Analytical
Marian-Emanuel Ionascu, Nuria Castell, Oana Boncalo, Philipp Schneider, Marius Darie, Marius Marcu
Summary: This study investigates the calibration methods for low-cost sensor platforms, which successfully improved the accuracy of CO and O-3 gases and achieved similar accuracy for NO2 gas. Despite the low price level, the platform's performance met the DQO criteria after the calibration algorithms were applied.
Article
Environmental Sciences
Nana A. Amoah, Guang Xu, Ashish Ranjan Kumar, Yang Wang
Summary: Mining-induced coal dust causes respiratory diseases, especially coal workers' pneumoconiosis (CWP). Current underground monitors are costly and not suitable for regular sample monitoring. Low-cost PM sensors offer a potential solution but require precise calibration. This study calibrated Plantower PMS5003 sensors and evaluated other commercially available PM sensors, demonstrating the feasibility of low-cost sensors for real-time personal coal dust monitoring if a robust calibration model is applied.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Multidisciplinary
Marek Wojcikowski, Bogdan Pankiewicz, Adrian Bekasiewicz, Tuan-Vu Cao, Jean-Marie Lepioufle, Islen Vallejo, Rune Odegard, Hoai Phuong Ha
Summary: Air pollution poses multiple challenges to health and economy, making accurate and low-cost monitoring critical. This study introduces a modular, mobile Internet of Things sensor for particulate matter measurements. A two-stage procedure is used to refine measurement data and improve accuracy with a correction model based on calibration data.
Article
Computer Science, Information Systems
Agustin Zuniga, Naser Hossein Motlagh, Huber Flores, Petteri Nurmi
Summary: This article introduces the idea of using smart plants as a solution for monitoring indoor environments. By integrating sensors into plants, they can serve as an alternative technology for monitoring and improving indoor spaces. A research roadmap is established for the use of smart plants in monitoring indoor environments.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Chemistry, Analytical
Pengfei Han, Han Mei, Di Liu, Ning Zeng, Xiao Tang, Yinghong Wang, Yuepeng Pan
Summary: This study evaluated the performance of four electrochemical air quality sensors and different calibration models in Beijing over a 12-month period. The results showed that LSTM models outperformed random forest and linear methods in improving the accuracy of pollutant measurements, especially for O-3 and NO2.
Review
Instruments & Instrumentation
Milagros Rodenas Garcia, Andrea Spinazze, Pedro T. B. S. Branco, Francesca Borghi, Guillermo Villena, Andrea Cattaneo, Alessia Di Gilio, Victor G. Mihucz, Elena Gomez Alvarez, Sergio Ivan Lopes, Benjamin Bergmans, Cezary Orlowski, Kostas Karatzas, Goncalo Marques, John Saffell, Sofia I. V. Sousa
Summary: This article discusses the applications of low-cost sensors in indoor air quality monitoring, including their strengths and limitations. It provides recommendations for various indoor applications and discusses future trends.
APPLIED SPECTROSCOPY REVIEWS
(2022)
Article
Chemistry, Analytical
Patricia Arroyo, Jaime Gomez-Suarez, Jose Luis Herrero, Jesus Lozano
Summary: The issue of air pollution and air quality monitoring is a significant problem in society today. This study develops an unmanned aerial vehicle (UAV) equipped with low-cost sensors to monitor air quality in hard-to-access locations, demonstrating its accuracy and robustness.
SENSORS AND ACTUATORS B-CHEMICAL
(2022)
Article
Engineering, Electrical & Electronic
Xhensilda Allka, Pau Ferrer-Cid, Jose M. M. Barcelo-Ordinas, Jorge Garcia-Vidal
Summary: In this article, two algorithms are proposed to denoise and calibrate low-cost sensors used in IoT monitoring platforms. The first method, TPB-D, achieves signal denoising by projecting the daily signals of the sensor onto a subspace generated by reference instruments. The second method, TPB-C, corrects and calibrates the daily sensor signals by linear mapping with regularization based on the subspace produced by the reference database.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Environmental Sciences
Vanessa Schwarstzhaupt Gamboa, Eder Julio Kinast, Marcal Pires
Summary: The increasing emissions of air pollutants have raised concerns over health and the environment. Low-cost atmospheric sensors are emerging as an alternative to traditional air quality monitoring stations. However, the reliability of data obtained by these sensors is still questionable. This study aimed to calibrate and evaluate the performance of low-cost sensors, comparing their results to reference analyzers. Satisfactory accuracy and minimal bias were achieved after calibration.
ATMOSPHERIC POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Tuukka Petaja, Aino Ovaska, Pak Lun Fung, Pyry Poutanen, Jaakko Yli-Ojanpera, Jari Suikkola, Mikko Laakso, Taneli Makela, Jarkko Niemi, Jorma Keskinen, Anssi Jarvinen, Joel Kuula, Mona Kurppa, Tareq Hussein, Sasu Tarkoma, Markku Kulmala, Ari Karppinen, Hanna E. Manninen, Hilkka Timonen
Summary: The emerging air quality sensors provide novel insights into the spatio-temporal variability of aerosol particles and trace gases, and their performance is evaluated through various tests and studies to provide calibration equations for fine-tuning of selected pollutants.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2021)
Article
Chemistry, Analytical
Paul Gaebel, Christian Koller, Elke Hertig
Summary: Analyses of the relationships between climate, air substances, and health usually focus on urban environments, but systematic analyses of health-relevant atmospheric conditions and compositions in urban areas are scarce due to the lack of high-resolution monitoring networks. The emergence of low-cost sensors has provided the potential to address this issue.
Article
Engineering, Electrical & Electronic
Arnab Chattopadhyay, Andres Huertas, Andrew Rebeiro-Hargrave, Pak Lun Fung, Samu Varjonen, Tuomas Hieta, Sasu Tarkoma, Tuukka Petaja
Summary: The study evaluated different low-cost gas sensors to create a suitable mobile sensing node and developed a calibration algorithm. In a controlled chamber, the performance of electrochemical sensors and metal oxide sensors was compared, with uncalibrated electrochemical sensors showing superior performance and being selected for the mobile sensing node.
IEEE SENSORS JOURNAL
(2022)
Article
Environmental Sciences
A. Samad, U. Vogt, A. Panta, D. Uprety
ATMOSPHERIC POLLUTION RESEARCH
(2020)
Article
Environmental Sciences
A. Samad, U. Vogt
Article
Environmental Sciences
A. Samad, U. Vogt
Summary: This study focused on the air quality in cities, particularly in Stuttgart, Germany, using a mobile measurement platform with a bicycle. The results showed a high spatial variability in pollutant concentration, influenced by factors such as local traffic, measurement location, and meteorological conditions. The use of a bicycle as part of the mobile measurement platform proved to be highly adaptive and flexible, providing valuable information on spatial distribution of pollutants.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Chemistry, Analytical
Abdul Samad, Freddy Ernesto Melchor Mimiaga, Bernd Laquai, Ulrich Vogt
Summary: To reduce the impact of high relative humidity on low-cost PM sensor results, researchers developed a low-cost dryer and investigated its effectiveness through experiments. By adjusting the voltage to control the heating intensity of the dryer, energy consumption was minimized while maximizing drying efficiency.
Article
Environmental Sciences
Abdul Samad, Anas Maali, Bernd Laquai, Ulrich Vogt
Summary: A low-cost PM monitoring platform was established in this study, which was utilized on the rack railway in Stuttgart to measure the dominance of fine particulate matter along the route. Higher PM concentrations were found near high traffic areas and federal highways compared to residential areas. An overestimation of PM concentration was observed during high humidity conditions when using the low-cost sensor platform compared to professional aerosol spectrometers.
Article
Environmental Sciences
Abdul Samad, Diego Alvarez Florez, Ioannis Chourdakis, Ulrich Vogt
Summary: Investigating air pollutant dispersion from urban sources is crucial for reducing air pollution. Unmanned Aerial Vehicle (UAV)-based systems offer an effective way to detect and monitor air pollutants. This study developed a UAV system that performed high-resolution three-dimensional profiling of pollutants near the source.
Article
Environmental Sciences
Abdul Samad, Kathryn Arango, Ioannis Chourdakis, Ulrich Vogt
Summary: Air quality investigations at airports have shown that aircrafts cause a significant increase in air pollution, especially in ultrafine particle concentrations. The concentrations of coarse particles and gases do not show notable changes. During aircraft arrivals, there is a definite increase in particle concentration, particularly in the 10nm size class. Furthermore, parameters such as PNC and D-p can be used to distinguish between particles from aircrafts and vehicles, while the influence of aircraft activity on BC concentrations is minimal.
Article
Environmental Sciences
Abdul Samad, Kathryn Arango, Diego Alvarez Florez, Ioannis Chourdakis, Ulrich Vogt
Summary: The study found that in the Stuttgart subway network, the concentrations of particulate matter were higher inside the subway trains and underground platforms, particularly ultrafine particles. Analysis of wind speed and direction data suggested that combined airflows led to higher particle resuspension and concentrations in these areas.
Article
Environmental Sciences
A. Samad, S. Garuda, U. Vogt, B. Yang
Summary: Air pollution is a serious concern due to the rapid expansion in commercial, social, and economic aspects, which increases pollutant concentrations worldwide and disrupts human life. Monitoring these concentrations plays a vital role in controlling pollution levels, but it is not easy as it requires costly installation of monitoring stations. This research used machine learning methods to simulate pollutant concentrations in Stuttgart and found that nearby monitoring stations significantly affect predictions. The applicability of this methodology was also tested in another German city, Karlsruhe, and proved successful.
ATMOSPHERIC ENVIRONMENT
(2023)