UTHM Institutional Repository

Identification of most tolerant lichen species to vehicular traffic’s pollutants: a case study at Batu Pahat

Muhammad, Norhayati and Hashim, Nor Haslina and Khairuddin, Nur Ain and Yusof, Hasliza and Jusoh, Samsiah and Abas, Azlan and A Talip, Balkis and Abdullah, Norazlin and Din, Laily (2018) Identification of most tolerant lichen species to vehicular traffic’s pollutants: a case study at Batu Pahat. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 42 (1). pp. 57-64. ISSN 22897879

Full text not available from this repository.


Bio-indicators are organisms that can be used for the identification and qualitative determination of human generated environmental factors. The decreasing population of sensitive lichens in specific regions around the world due to low air quality level has make lichens as a bio-indicator for air pollution. Lichen is a result of symbiotic association of fungus and alga and well known for having wide variety of sensitivity towards environmental stressors such as air quality and climate change. This study aims to identify the most tolerant lichen species to vehicular traffic’s pollutant at Batu Pahat urban and suburban areas by using Index of Atmospheric Purity (IAP) method. The color spot test, thin layer chromatography (TLC) profiling and morphological analysis were employed for species identification. The results have shown that Dirinaria picta has been identified as the most tolerant lichen against pollutants from vehicle traffic. The results also indicated that the air quality of Batu Pahat town/urban area could be considered as moderately clean.

Item Type: Article
Uncontrolled Keywords: Air quality; bio-indicator; Dirinaria picta; lichen
Subjects: T Technology > TD Environmental technology. Sanitary engineering > TD172-193 Environmental pollution
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 13 May 2019 01:09
Last Modified: 13 May 2019 01:09
URI: http://eprints.uthm.edu.my/id/eprint/11101
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item