What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection
Abstract The low-cost sensor has changed the air quality monitoring paradigm with the capacity for efficient network expansion and community engagement. The surge in its use has sparked new research interests in understanding its data quality. Many studies have employed field calibration to improve...
Saved in:
Main Authors: | Lu Liang, Jacob Daniels |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2022-06-01
|
Series: | Aerosol and Air Quality Research |
Subjects: | |
Online Access: | https://doi.org/10.4209/aaqr.220076 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of Surface Level PM2.5 Measured by Low-Cost Sensor and Satellite-Based Column Aerosol Optical Depth (AOD) over Kathmandu
by: Jeevan Regmi, et al.
Published: (2022-12-01) -
Calibration of Low-cost Sensors for Measurement of Indoor Particulate Matter Concentrations via Laboratory/Field Evaluation
by: Doheon Kim, et al.
Published: (2023-05-01) -
PM2.5 in Sri Lanka: Trend Analysis, Low-cost Sensor Correlations and Spatial Distribution
by: Ranil Dhammapala, et al.
Published: (2022-03-01) -
Association between Air Pollution and Risk of Hospital Admission for Pediatric Pneumonia in a Tropical City, Kaohsiung, Taiwan
by: Peng-Huei Liu, et al.
Published: (2022-06-01) -
Measurement of PM2.5 and PM10 Concentrations in Nakhodka City with a Network of Automatic Monitoring Stations
by: Aleksei Kholodov, et al.
Published: (2022-07-01)