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All Journal AKSIOMA JURNAL PENDIDIKAN MATEMATIKA Science and Technology Indonesia Jurnal Siger Matematika PELS (Procedia of Engineering and Life Science) Jurnal Dedikasi untuk Negeri Sciencestatistics: Journal of Statistics, Probability, and Its Application
Mustofa Usman
Universitas Lampung
Religion Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Journal : PELS (Procedia of Engineering and Life Science)

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PM2.5 Concentration Pattern in ASEAN Countries Based on Population Density Achmad Yahya Teguh Panuju; Mustofa Usman
Procedia of Engineering and Life Science Vol 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1385

Abstract

The concentration of PM2.5 in ambient air is one of the indicators of air quality that affects public health. This pollutant is considered hazardous due to its small size, which allows it to enter the lungs and remain suspended in the air for a considerable amount of time. Identifying the patterns of PM2.5 concentration distribution is important to recognize the influential factors in increasing PM2.5 concentrations, thus enabling better formulation of solutions. This study analyzed the patterns of PM2.5 concentrations in three ASEAN countries: Indonesia, Vietnam, and Thailand. Four randomly selected measurement locations were chosen in each country, with two locations in densely populated areas and two others in low-density areas. The sample data of PM2.5 concentrations were analyzed using nested factor analysis of variance, which allowed the relationship between the taken parameters, namely country, location, and population density classification, to be determined. The results revealed that all parameters had a significant influence on PM2.5 concentrations.
Co-Authors . Wamiliana Achmad Yahya Teguh Panuju Agus Sutrisno Amanto Amanto Ani Amanathi Anis Mahfud Al’afi Anisa Fitriyani Dian Kurniasari Dora Panny Nurcahaya Sitorus Dorrah Azis Edwin Russel Eri Setiawan Fadila Cahya Puri Indah Suciati Khoirin Nisa Muhammad Taufiq Sofrizal Muslim Ansori Noti Ragayu Regita Elza Fitri Wardhani Utami Dewi Warsono Warsono Widiarti Widiarti