Long-term field calibration of low-cost metal oxide VOC sensor: Meteorological and interference gas effects-Reference-Cited by-同舟云学术

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Long-term field calibration of low-cost metal oxide VOC sensor: Meteorological and interference gas effects

Published:2023-10 Issue: Volume:310 Page:119955
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Hong Gung-Hwa,Le Thi-Cuc,Lin Guan-Yu^ORCID,Cheng Hung-Wen,Yu Jhih-Yuan,Dejchanchaiwong Racha,Tekasakul Perapong^ORCID,Tsai Chuen-Jinn

Funder

Prince of Songkla University

Ministry of Science and Technology, Taiwan

Environmental Protection Administration, Executive Yuan, R.O.C. Taiwan

Ministry of Higher Education, Science, Research and Innovation, Thailand

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference39 articles.

1. Correction model for metal oxide sensor drift caused by ambient temperature and humidity;Abdullah;Sensors,2022

2. A new look at the statistical model identification;Akaike;IEEE Trans. Automat. Control,1974

3. Adjoint-based computation of US nationwide ozone exposure isopleths;Ashok;Atmos. Environ.,2016

4. Field study of metal oxide semiconductor gas sensors in temperature cycled operation for selective VOC monitoring in indoor air;Baur;Atmosphere,2021

5. Use of partial order in environmental pollution studies demonstrated by urban BTEX air pollution in 20 major cities worldwide;Carlsen;Sci. Total Environ.,2018

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2. The Metrological Qualification of Commercial VOC Multisensor Systems: A Mandatory Step Prior to Indoor Air Quality Monitoring;IEEE Sensors Journal;2024-04-15

3. Deep Learning Approach to Estimate Relative Humidity Contribution in VOC Response of LCM-Graphene Oxide-Based VOC Sensors;IEEE Sensors Journal;2024-04-01

4. Characterization of spatial-temporal distribution and microenvironment source contribution of PM2.5 concentrations using a low-cost sensor network with artificial neural network/kriging techniques;Environmental Research;2024-03

5. Impact assessment of spatial–temporal distribution of riverine dust on air quality using remote sensing data and numerical modeling;Environmental Science and Pollution Research;2024-02-03

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