Network modeling of PM10 concentration in Malaysia

Muhammad Nazirul Aiman Abu Supian, Sakhinah Abu Bakar, Fatimah Abdul Razak

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

Abstract

Air pollution is not a new phenomenon in Malaysia. The Department of Environment (DOE) monitors the country's ambient air quality through a network of 51 stations. The air quality is measured using the Air Pollution Index (API) which is mainly recorded based on the concentration of particulate matter, PM10 readings. The Continuous Air Quality Monitoring (CAQM) stations are located in various places across the country. In this study, a network model of air quality based on PM10 concen tration for selected CAQM stations in Malaysia has been developed. The model is built using a graph formulation, G = (V, E) where vertex, V is a set of CAQM stations and edges, E is a set of correlation values for each pair of vertices. The network measurements such as degree distributions, closeness centrality, and betweenness centrality are computed to analyse the behaviour of the network. As a result, a rank of CAQM stations has been produced based on their centrality characteristics.

Original languageEnglish
Title of host publicationProceedings of the 24th National Symposium on Mathematical Sciences
Subtitle of host publicationMathematical Sciences Exploration for the Universal Preservation, SKSM 2016
PublisherAmerican Institute of Physics Inc.
Volume1870
ISBN (Electronic)9780735415508
DOIs
Publication statusPublished - 7 Aug 2017
Event24th National Symposium on Mathematical Sciences: Mathematical Sciences Exploration for the Universal Preservation, SKSM 2016 - Kuala Terengganu, Terengganu, Malaysia
Duration: 27 Sep 201629 Sep 2016

Other

Other24th National Symposium on Mathematical Sciences: Mathematical Sciences Exploration for the Universal Preservation, SKSM 2016
CountryMalaysia
CityKuala Terengganu, Terengganu
Period27/9/1629/9/16

Fingerprint

Malaysia
air quality
stations
air pollution
apexes
particulates
monitors
formulations

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Supian, M. N. A. A., Abu Bakar, S., & Abdul Razak, F. (2017). Network modeling of PM10 concentration in Malaysia. In Proceedings of the 24th National Symposium on Mathematical Sciences: Mathematical Sciences Exploration for the Universal Preservation, SKSM 2016 (Vol. 1870). [040020] American Institute of Physics Inc.. https://doi.org/10.1063/1.4995852

Network modeling of PM10 concentration in Malaysia. / Supian, Muhammad Nazirul Aiman Abu; Abu Bakar, Sakhinah; Abdul Razak, Fatimah.

Proceedings of the 24th National Symposium on Mathematical Sciences: Mathematical Sciences Exploration for the Universal Preservation, SKSM 2016. Vol. 1870 American Institute of Physics Inc., 2017. 040020.

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

Supian, MNAA, Abu Bakar, S & Abdul Razak, F 2017, Network modeling of PM10 concentration in Malaysia. in Proceedings of the 24th National Symposium on Mathematical Sciences: Mathematical Sciences Exploration for the Universal Preservation, SKSM 2016. vol. 1870, 040020, American Institute of Physics Inc., 24th National Symposium on Mathematical Sciences: Mathematical Sciences Exploration for the Universal Preservation, SKSM 2016, Kuala Terengganu, Terengganu, Malaysia, 27/9/16. https://doi.org/10.1063/1.4995852
Supian MNAA, Abu Bakar S, Abdul Razak F. Network modeling of PM10 concentration in Malaysia. In Proceedings of the 24th National Symposium on Mathematical Sciences: Mathematical Sciences Exploration for the Universal Preservation, SKSM 2016. Vol. 1870. American Institute of Physics Inc. 2017. 040020 https://doi.org/10.1063/1.4995852
Supian, Muhammad Nazirul Aiman Abu ; Abu Bakar, Sakhinah ; Abdul Razak, Fatimah. / Network modeling of PM10 concentration in Malaysia. Proceedings of the 24th National Symposium on Mathematical Sciences: Mathematical Sciences Exploration for the Universal Preservation, SKSM 2016. Vol. 1870 American Institute of Physics Inc., 2017.
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