Application of low-cost particulate matter sensors for air quality monitoring and exposure assessment in underground mines: A review

Amoah, Nana Amoako; Xu, Guang; Wang, Yan; Li, Jiayu; Zou, Yongming; Bai-sheng, Nie

doi:10.1007/s12613-021-2378-z

Cited by 8 publications

(2 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These sensors are small in size, modest in price, easy to handle, have fast response [6], and can be relatively easily deployed in a dense sensor network. This improves the spatial resolution of AQ measurements as they are widespread over cities [7][8][9], suburban [10] and rural areas, larger spaces [11,12], and hard-to-reach areas [12][13][14][15], which is their clear advantage over automatic monitoring stations. However, the performance of low-cost sensors needs to be carefully monitored as it can vary from sensor to sensor, which makes it necessary to examine the data quality of each node both during continuous use and before deployment [16].…”

Section: Introductionmentioning

confidence: 99%

Data Evaluation of a Low-Cost Sensor Network for Atmospheric Particulate Matter Monitoring in 15 Municipalities in Serbia

Stojanović,

Kleut,

Davidović

et al. 2024

Sensors

View full text Add to dashboard Cite

Conventional air quality monitoring networks typically tend to be sparse over areas of interest. Because of the high cost of establishing such monitoring systems, some areas are often completely left out of regulatory monitoring networks. Recently, a new paradigm in monitoring has emerged that utilizes low-cost air pollution sensors, thus making it possible to reduce the knowledge gap in air pollution levels for areas not covered by regulatory monitoring networks and increase the spatial resolution of monitoring in others. The benefits of such networks for the community are almost self-evident since information about the level of air pollution can be transmitted in real time and the data can be analysed immediately over the wider area. However, the accuracy and reliability of newly produced data must also be taken into account in order to be able to correctly interpret the results. In this study, we analyse particulate matter pollution data from a large network of low-cost particulate matter monitors that was deployed and placed in outdoor spaces in schools in central and western Serbia under the Schools for Better Air Quality UNICEF pilot initiative in the period from April 2022 to June 2023. The network consisted of 129 devices in 15 municipalities, with 11 of the municipalities having such extensive real-time measurements of particulate matter concentration for the first time. The analysis showed that the maximum concentrations of PM2.5 and PM10 were in the winter months (heating season), while during the summer months (non-heating season), the concentrations were several times lower. Also, in some municipalities, the maximum values and number of daily exceedances of PM10 (50 μg/m3) were much higher than in the others because of diversity and differences in the low-cost sensor sampling sites. The particulate matter mass daily concentrations obtained by low-cost sensors were analysed and also classified according to the European AQI (air quality index) applied to low-cost sensor data. This study confirmed that the large network of low-cost air pollution sensors can be useful in providing real-time information and warnings about higher pollution days and episodes, particularly in situations where there is a lack of local or national regulatory monitoring stations in the area.

show abstract

Section: Introductionmentioning

confidence: 99%

Data Evaluation of a Low-Cost Sensor Network for Atmospheric Particulate Matter Monitoring in 15 Municipalities in Serbia

Stojanović,

Kleut,

Davidović

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Zhang et al ( 2021b ) developed a high-precision optical sensor for dust concentration based on Michaelis scattering theory. Amoah et al ( 2022 ) used linear regression model to calibrate the low-cost light scattering particle sensor for coal dust monitoring. Ye et al ( 2022 ) proposed a visual measurement algorithm of dust concentration based on the calculation of image transmittance characteristic value.…”

Section: Introductionmentioning

confidence: 99%

Spatial and temporal evolution of mine dust research: visual knowledge mapping analysis in Web of Science from 2001 to 2021

Zeng

Jiang

2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

Dust pollution control is the basic guarantee of mine safety production, which has been widely concerned by scholars. Based on a total of 1786 publications collected by the Web of Science Core Collection (WOSCC) from 2001 to 2021, this paper analyzes the spatial–temporal distribution characteristics, hot topics, and frontier trends of the international mine dust field during the past 20 years by using Citespace and VOSviewer knowledge graph technology. The research shows that the study of mine dust can be divided into three stages: initial period (2001 ~ 2008), stable transition period (2009 ~ 2016), and boom period (2017 ~ 2021). The journals and disciplines which belong to mine dust research mainly focus on environmental science and engineering technology. A stable core group of authors and institutions have been preliminarily formed in the dust research field. The main themes of the study contained the whole process of mine dust generation, transport, prevention, and control, as well as the consequences of disaster. At present, the hot research fields mainly focus on mine dust particle pollution, multi-stage dust prevention, and emission reduction technologies, and mine occupational protection, monitoring, and early warning. In the future, the research should focus on the mechanism of dust production and transportation, the theory of efficient prevention and control, the technology and equipment of precise prevention and control of dust, and the high-precision monitoring and early warning of dust concentration. Future research should be concerned with dust control in underground mines and deep concave open-pit mines with complicated and treacherous environments, and strengthen research institutions, interdisciplinary cooperation, and interaction so as to promote the integration and application of mine dust and automation, information, and intelligent technology.

show abstract

Study on PM diffusion and distribution of trackless rubber-tyred vehicle under different driving conditions in underground coal mining environment

Nie,

Liu,

Hua

et al. 2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

Application of low-cost particulate matter sensors for air quality monitoring and exposure assessment in underground mines: A review

Cited by 8 publications

References 70 publications

Data Evaluation of a Low-Cost Sensor Network for Atmospheric Particulate Matter Monitoring in 15 Municipalities in Serbia

Data Evaluation of a Low-Cost Sensor Network for Atmospheric Particulate Matter Monitoring in 15 Municipalities in Serbia

Spatial and temporal evolution of mine dust research: visual knowledge mapping analysis in Web of Science from 2001 to 2021

Study on PM diffusion and distribution of trackless rubber-tyred vehicle under different driving conditions in underground coal mining environment

Contact Info

Product

Resources

About