Identification of most tolerant lichen species to vehicular traffic’s pollutants: a case study at Batu Pahat
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 po...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Akademia Baru
2018
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4853/1/AJ%202018%20%28126%29.pdf |
| _version_ | 1825709920213794816 |
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| author | Muhammad, Norhayati Hashim, Nor Haslina Khairuddin, Nur Ain Yusof, Hasliza Jusoh, Samsiah Abas, Azlan A. Talip, Balkis Abdullah, Norazlin Din, Laily |
| author_facet | Muhammad, Norhayati Hashim, Nor Haslina Khairuddin, Nur Ain Yusof, Hasliza Jusoh, Samsiah Abas, Azlan A. Talip, Balkis Abdullah, Norazlin Din, Laily |
| author_sort | Muhammad, Norhayati |
| collection | UTHM |
| description | 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. |
| first_indexed | 2024-03-05T21:49:43Z |
| format | Article |
| id | uthm.eprints-4853 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:49:43Z |
| publishDate | 2018 |
| publisher | Penerbit Akademia Baru |
| record_format | dspace |
| spelling | uthm.eprints-48532021-12-21T07:41:10Z http://eprints.uthm.edu.my/4853/ Identification of most tolerant lichen species to vehicular traffic’s pollutants: a case study at Batu Pahat Muhammad, Norhayati Hashim, Nor Haslina Khairuddin, Nur Ain Yusof, Hasliza Jusoh, Samsiah Abas, Azlan A. Talip, Balkis Abdullah, Norazlin Din, Laily T Technology (General) TD Environmental technology. Sanitary engineering TD194-195 Environmental effects of industries and plants TD878-894 Special types of environment, Including soil pollution, air pollution, noise pollution 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. Penerbit Akademia Baru 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/4853/1/AJ%202018%20%28126%29.pdf 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 2289-7879 |
| spellingShingle | T Technology (General) TD Environmental technology. Sanitary engineering TD194-195 Environmental effects of industries and plants TD878-894 Special types of environment, Including soil pollution, air pollution, noise pollution Muhammad, Norhayati Hashim, Nor Haslina Khairuddin, Nur Ain Yusof, Hasliza Jusoh, Samsiah Abas, Azlan A. Talip, Balkis Abdullah, Norazlin Din, Laily Identification of most tolerant lichen species to vehicular traffic’s pollutants: a case study at Batu Pahat |
| title | Identification of most tolerant lichen species to vehicular traffic’s pollutants: a case study at Batu Pahat |
| title_full | Identification of most tolerant lichen species to vehicular traffic’s pollutants: a case study at Batu Pahat |
| title_fullStr | Identification of most tolerant lichen species to vehicular traffic’s pollutants: a case study at Batu Pahat |
| title_full_unstemmed | Identification of most tolerant lichen species to vehicular traffic’s pollutants: a case study at Batu Pahat |
| title_short | Identification of most tolerant lichen species to vehicular traffic’s pollutants: a case study at Batu Pahat |
| title_sort | identification of most tolerant lichen species to vehicular traffic s pollutants a case study at batu pahat |
| topic | T Technology (General) TD Environmental technology. Sanitary engineering TD194-195 Environmental effects of industries and plants TD878-894 Special types of environment, Including soil pollution, air pollution, noise pollution |
| url | http://eprints.uthm.edu.my/4853/1/AJ%202018%20%28126%29.pdf |
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