Topological characterization of haze episodes using persistent homology

Nur Fariha Syaqina Zulkepli, Mohd. Salmi Md. Noorani, Fatimah Abdul Razak, Munira Ismail, Mohd Almie Alias

Research output: Contribution to journalArticle

Abstract

Haze is one of the major environmental issues that have continuously vexed countries worldwide, including Malaysia, for the last three decades. Therefore, this study aims to investigate the differences between the topological features of months with and those without haze episodes observed at air quality monitoring stations located in the areas of Jerantut, Klang, Petaling Jaya and Shah Alam. We employ persistent homology, which is a method of topological data analysis (TDA) that focuses on connected components and holes in the data, to characterize the local particulate matter (PM10). The summary statistics reveal drastic changes in the lifetimes of the topological data from every station during haze episodes, highlighting the possibility of developing an early detection system for haze based on our approach.

Original languageEnglish
Pages (from-to)1614-1621
Number of pages8
JournalAerosol and Air Quality Research
Volume19
Issue number7
DOIs
Publication statusPublished - 1 Jul 2019

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Particulate Matter
haze
homology
Air quality
Statistics
Monitoring
environmental issue
particulate matter

Keywords

  • Haze
  • Particulate matter
  • Persistent homology
  • Time delay embedding
  • Topological data analysis

ASJC Scopus subject areas

  • Environmental Chemistry
  • Pollution

Cite this

Topological characterization of haze episodes using persistent homology. / Zulkepli, Nur Fariha Syaqina; Md. Noorani, Mohd. Salmi; Abdul Razak, Fatimah; Ismail, Munira; Alias, Mohd Almie.

In: Aerosol and Air Quality Research, Vol. 19, No. 7, 01.07.2019, p. 1614-1621.

Research output: Contribution to journalArticle

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