Characteristics of PM10 Level during Haze Events in Malaysia Based on Quantile Regression Method

Characteristics of PM10 Level during Haze Events in Malaysia Based on Quantile Regression Method

Malaysia has been facing transboundary haze events repeatedly, in which the air contains extremely high particulate matter, particularly PM10, which affects human health and the environment. Therefore, it is crucial to understand the characteristics of PM10 concentration and develop a reliable PM10...

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Bibliographic Details
Main Authors: Siti Nadhirah Redzuan, Norazian Mohamed Noor, Nur Alis Addiena A. Rahim, Izzati Amani Mohd Jafri, Syaza Ezzati Baidrulhisham, Ahmad Zia Ul-Saufie, Andrei Victor Sandu, Petrica Vizureanu, Mohd Remy Rozainy Mohd Arif Zainol, György Deák
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Atmosphere
Subjects:
air quality
air quality modeling
haze
PM10
Pearson correlation
predictive model
Online Access:https://www.mdpi.com/2073-4433/14/2/407

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