Characterizing the Temporal Variation of Airborne Particulate Matter in an Urban Area Using Variograms

Characterizing the Temporal Variation of Airborne Particulate Matter in an Urban Area Using Variograms

This study aims to determine the optimal frequency for monitoring airborne pollutants in densely populated urban areas to effectively capture their temporal variations. While environmental organizations worldwide typically update air quality data hourly, there is no global consensus on the ideal mon...

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Main Authors: Gokul Balagopal, Lakitha Wijeratne, John Waczak, Prabuddha Hathurusinghe, Mazhar Iqbal, Rittik Patra, Adam Aker, Seth Lee, Vardhan Agnihotri, Christopher Simmons, David J. Lary
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Air
Subjects:
environmental research
particulate matter
air quality
statistics
IOT
variogram
Online Access:https://www.mdpi.com/2813-4168/3/1/7
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