Haze detection using persistent homology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Haze is one of the environmental issues that greatly effects human health, economy and ecology. Particulate matter with aerodynamic size below 10 micrometers PM10 is the major pollutant during haze period. The existing methods are currently focusing on statistical analysis to provide quantitative analysis of PM10. Persistent homology is a tool in topological data analysis (TDA) that provides qualitative information known as topological features of data by detecting birth and death points that persist across multiple scales. One question arises in relating persistent homology and haze. Can persistent homology detect haze? This study addresses this question by providing qualitative structures of PM10 and detecting topological changes during haze episodes from 2000 until 2015 in Klang air quality monitoring station. This paper shows that, there are changes in topological features during haze episodes.

Original languageEnglish
Title of host publication2018 UKM FST Postgraduate Colloquium
Subtitle of host publicationProceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium
EditorsNoor Hayati Ahmad Rasol, Kamarulzaman Ibrahim, Siti Aishah Hasbullah, Mohammad Hafizuddin Hj. Jumali, Nazlina Ibrahim, Marlia Mohd Hanafiah, Mohd Talib Latif
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735418431
DOIs
Publication statusPublished - 27 Jun 2019
Event2018 UKM FST Postgraduate Colloquium - Selangor, Malaysia
Duration: 4 Apr 20186 Apr 2018

Publication series

NameAIP Conference Proceedings
Volume2111
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2018 UKM FST Postgraduate Colloquium
CountryMalaysia
CitySelangor
Period4/4/186/4/18

Fingerprint

haze detection
haze
air quality
aerodynamics
homology
human health
quantitative analysis
data analysis
particulates
statistical analysis
pollutants
death
ecology
monitoring
methodology
economy
environmental issue
health
contaminants
detection

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology
  • Plant Science
  • Physics and Astronomy(all)
  • Nature and Landscape Conservation

Cite this

Zulkepli, N. F. S., Md. Noorani, M. S., Abdul Razak, F., Ismail, M., & Alias, M. A. (2019). Haze detection using persistent homology. In N. H. A. Rasol, K. Ibrahim, S. A. Hasbullah, M. H. H. Jumali, N. Ibrahim, M. M. Hanafiah, & M. T. Latif (Eds.), 2018 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium [020012] (AIP Conference Proceedings; Vol. 2111). American Institute of Physics Inc.. https://doi.org/10.1063/1.5111219

Haze detection using persistent homology. / Zulkepli, N. F.S.; Md. Noorani, Mohd. Salmi; Abdul Razak, Fatimah; Ismail, Munira; Alias, M. A.

2018 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium. ed. / Noor Hayati Ahmad Rasol; Kamarulzaman Ibrahim; Siti Aishah Hasbullah; Mohammad Hafizuddin Hj. Jumali; Nazlina Ibrahim; Marlia Mohd Hanafiah; Mohd Talib Latif. American Institute of Physics Inc., 2019. 020012 (AIP Conference Proceedings; Vol. 2111).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zulkepli, NFS, Md. Noorani, MS, Abdul Razak, F, Ismail, M & Alias, MA 2019, Haze detection using persistent homology. in NHA Rasol, K Ibrahim, SA Hasbullah, MHH Jumali, N Ibrahim, MM Hanafiah & MT Latif (eds), 2018 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium., 020012, AIP Conference Proceedings, vol. 2111, American Institute of Physics Inc., 2018 UKM FST Postgraduate Colloquium, Selangor, Malaysia, 4/4/18. https://doi.org/10.1063/1.5111219
Zulkepli NFS, Md. Noorani MS, Abdul Razak F, Ismail M, Alias MA. Haze detection using persistent homology. In Rasol NHA, Ibrahim K, Hasbullah SA, Jumali MHH, Ibrahim N, Hanafiah MM, Latif MT, editors, 2018 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium. American Institute of Physics Inc. 2019. 020012. (AIP Conference Proceedings). https://doi.org/10.1063/1.5111219
Zulkepli, N. F.S. ; Md. Noorani, Mohd. Salmi ; Abdul Razak, Fatimah ; Ismail, Munira ; Alias, M. A. / Haze detection using persistent homology. 2018 UKM FST Postgraduate Colloquium: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium. editor / Noor Hayati Ahmad Rasol ; Kamarulzaman Ibrahim ; Siti Aishah Hasbullah ; Mohammad Hafizuddin Hj. Jumali ; Nazlina Ibrahim ; Marlia Mohd Hanafiah ; Mohd Talib Latif. American Institute of Physics Inc., 2019. (AIP Conference Proceedings).
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