Assessment of PM2.5 Patterns in Malaysia Using the Clustering Method
Abstract Particulate matter is the parameter of most concern in air quality monitoring in Malaysia. This study discusses the variations and clustering of PM2.5 recorded from 2018 to 2019 at 65 stations of the Continuous Air Quality Monitoring Network of the Malaysian Department of Environment. PM2.5...
Saved in:
Main Authors: | Ezahtulsyahreen Ab. Rahman, Firdaus Mohamad Hamzah, Mohd Talib Latif, Doreena Dominick |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2021-12-01
|
Series: | Aerosol and Air Quality Research |
Subjects: | |
Online Access: | https://doi.org/10.4209/aaqr.210161 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecasting PM2.5 in Malaysia Using a Hybrid Model
by: Ezahtulsyahreen Ab. Rahman, et al.
Published: (2023-06-01) -
Spatiotemporal Variations of Particulate Matter and their Association with Criteria Pollutants and Meteorology in Malaysia
by: Anis Asma Ahmad Mohtar, et al.
Published: (2022-07-01) -
Cluster analysis of social determinants of health and HIV/AIDS knowledge among Peruvian youths using Kohonen’s self-organized maps: a data-exploration study based on a Demographic and health survey
by: Alejandro Aybar-Flores, et al.
Published: (2024-12-01) -
The Characteristics of PM2.5 Pollution Episodes during 2016–2019 in Sichuan Basin, China
by: Xiaodong Wu, et al.
Published: (2021-09-01) -
An Overview: PM2.5 Concentration Levels in Urban Residential Buildings during the Past Two Decades
by: Yu Liu, et al.
Published: (2022-08-01)