COVID-19 Lockdown in Belgrade: Impact on Air Pollution and Evaluation of a Neural Network Model for the Correction of Low-Cost Sensors’ Measurements

COVID-19 Lockdown in Belgrade: Impact on Air Pollution and Evaluation of a Neural Network Model for the Correction of Low-Cost Sensors’ Measurements

In this paper, we explore the impact of the COVID-19 lockdown in Serbia on the air pollution levels of CO, NO<sub>2</sub> and PM<sub>10</sub> alongside the possibility for low-cost sensor usage during this period. In the study, a device with low-cost sensors collocated with a...

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Bibliographic Details
Main Authors: Ivan Vajs, Dejan Drajic, Zoran Cica
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
air pollution monitoring
COVID-19
emergency lockdown
low-cost PM and gas sensors (CO and NO<sub>2</sub>)
neural network
sensor calibration
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Online Access:https://doaj.org/article/38b68a3b70fe41baa8e55a0bf2c182e2
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https://doaj.org/article/38b68a3b70fe41baa8e55a0bf2c182e2

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