Performance evaluation of low-cost air quality sensors: A review
The monitoring of air quality compliance requires the use of Federal Reference Methods
(FRM)/Federal Equivalent Methods (FEM); nevertheless, the validity and reliability of low …
(FRM)/Federal Equivalent Methods (FEM); nevertheless, the validity and reliability of low …
Low-cost outdoor air quality monitoring and sensor calibration: A survey and critical analysis
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 …
of air quality monitoring stations worldwide. The most common approach for air quality …
From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors
Low-cost sensors for particulate matter mass (PM) enable spatially dense, high temporal
resolution measurements of air quality that traditional reference monitoring cannot. Low-cost …
resolution measurements of air quality that traditional reference monitoring cannot. Low-cost …
[HTML][HTML] Evaluating the predictive power of different machine learning algorithms for groundwater salinity prediction of multi-layer coastal aquifers in the Mekong Delta …
Groundwater salinization is considered as a major environmental problem in worldwide
coastal areas, influencing ecosystems and human health. However, an accurate prediction …
coastal areas, influencing ecosystems and human health. However, an accurate prediction …
Solar radiation prediction using different machine learning algorithms and implications for extreme climate events
L Huang, J Kang, M Wan, L Fang, C Zhang… - Frontiers in Earth …, 2021 - frontiersin.org
Solar radiation is the Earth's primary source of energy and has an important role in the
surface radiation balance, hydrological cycles, vegetation photosynthesis, and weather and …
surface radiation balance, hydrological cycles, vegetation photosynthesis, and weather and …
Laboratory evaluation of particle-size selectivity of optical low-cost particulate matter sensors
J Kuula, T Mäkelä, M Aurela, K Teinilä… - Atmospheric …, 2020 - amt.copernicus.org
Low-cost particulate matter (PM) sensors have been under investigation as it has been
hypothesized that the use of low-cost and easy-to-use sensors could allow cost-efficient …
hypothesized that the use of low-cost and easy-to-use sensors could allow cost-efficient …
Calibrating low-cost sensors for ambient air monitoring: Techniques, trends, and challenges
L Liang - Environmental Research, 2021 - Elsevier
Low-cost sensors (LCSs) are widely acknowledged for bringing a paradigm shift in
supplemental traditional air monitoring by air regulatory agencies. However, there is …
supplemental traditional air monitoring by air regulatory agencies. However, there is …
Evaluation of nine machine learning regression algorithms for calibration of low-cost PM2. 5 sensor
Low-cost sensors (LCS) can construct a high spatial and temporal resolution PM 2.5 network
but are affected by environmental parameters such as relative humidity and temperature …
but are affected by environmental parameters such as relative humidity and temperature …
Establishing a sustainable low-cost air quality monitoring setup: A survey of the state-of-the-art
Low-cost sensors (LCS) are becoming popular for air quality monitoring (AQM). They
promise high spatial and temporal resolutions at low-cost. In addition, citizen science …
promise high spatial and temporal resolutions at low-cost. In addition, citizen science …
Integrating low-cost air quality sensor networks with fixed and satellite monitoring systems to study ground-level PM2. 5
Airborne particulate matter (PM) mass concentrations measured by conventional monitoring
stations are reliable data sources for air quality communication, pollution map**, and …
stations are reliable data sources for air quality communication, pollution map**, and …