Element content of moss as possible air pollution indicator around renewable energy plant / Zaliana Mohd Kanafi

The study was conducted to determine the pollution level of heavy metals surround the Jengka Renewable Energy Plant at Jengka 9 based on the concentration of metals deposited in the moss samples as bioindicator. The twelve samples of moss were collected from three locations where each of location...

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Main Author: Mohd Kanafi, Zaliana
Format: Student Project
Language:English
Published: Faculty Of Applied Sciences 2017
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Online Access:http://ir.uitm.edu.my/id/eprint/25919/1/PPb_ZALIANA%20MOHD%20KANAFI%20AS%20C%2017_5.PDF
http://ir.uitm.edu.my/id/eprint/25919/
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spelling my.uitm.ir.259192020-04-17T15:36:41Z http://ir.uitm.edu.my/id/eprint/25919/ Element content of moss as possible air pollution indicator around renewable energy plant / Zaliana Mohd Kanafi Mohd Kanafi, Zaliana Analytical chemistry Ecology Toxicity testing The study was conducted to determine the pollution level of heavy metals surround the Jengka Renewable Energy Plant at Jengka 9 based on the concentration of metals deposited in the moss samples as bioindicator. The twelve samples of moss were collected from three locations where each of location has different distances from plant center ; 50m, 100m, 150m, and 200m. The sampling technique and sample treatment were done based on the standard procedures that had applied by other researcher. The total concentration of Fe, AI, Zn, Cu and Cr were analyzed by using ICP-OES after an acid digestion with hot plate. The mean concentration of metals was 3080.92mg/kg for Fe, 1095.47mg/kg for AI, 53.22mg/kg for Zn, 31.90mg/kg for Cu and 6.88mg/kg for Cr and were ranked in increment order of Fe > Al > Zn > Cu > Cr. The study was found that at distances 50m and 100m had the highest concentration of metals compared to other distances. Three pollution indices; contamination factor (CF), enrichment factor (EF) and pollution load index (PLI) were used to evaluate the level of contamination of these metals. The values of EF found in this study clearly showed that the high concentration of metals in moss samples were contributed by anthropogenic activities which expected influenced by the nearby industrial site and transportation. The observed PLI value clearly indicated that the environment surrounding Jengka Renewable Energy Plant was polluted by the studied metal. In general, based on the correlation data, it could be concluded that all the metals (Fe, AI, Cu and Cr) would be originated from the same sources except for metal of Zn. Faculty Of Applied Sciences 2017 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/25919/1/PPb_ZALIANA%20MOHD%20KANAFI%20AS%20C%2017_5.PDF Mohd Kanafi, Zaliana (2017) Element content of moss as possible air pollution indicator around renewable energy plant / Zaliana Mohd Kanafi. [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Analytical chemistry
Ecology
Toxicity testing
spellingShingle Analytical chemistry
Ecology
Toxicity testing
Mohd Kanafi, Zaliana
Element content of moss as possible air pollution indicator around renewable energy plant / Zaliana Mohd Kanafi
description The study was conducted to determine the pollution level of heavy metals surround the Jengka Renewable Energy Plant at Jengka 9 based on the concentration of metals deposited in the moss samples as bioindicator. The twelve samples of moss were collected from three locations where each of location has different distances from plant center ; 50m, 100m, 150m, and 200m. The sampling technique and sample treatment were done based on the standard procedures that had applied by other researcher. The total concentration of Fe, AI, Zn, Cu and Cr were analyzed by using ICP-OES after an acid digestion with hot plate. The mean concentration of metals was 3080.92mg/kg for Fe, 1095.47mg/kg for AI, 53.22mg/kg for Zn, 31.90mg/kg for Cu and 6.88mg/kg for Cr and were ranked in increment order of Fe > Al > Zn > Cu > Cr. The study was found that at distances 50m and 100m had the highest concentration of metals compared to other distances. Three pollution indices; contamination factor (CF), enrichment factor (EF) and pollution load index (PLI) were used to evaluate the level of contamination of these metals. The values of EF found in this study clearly showed that the high concentration of metals in moss samples were contributed by anthropogenic activities which expected influenced by the nearby industrial site and transportation. The observed PLI value clearly indicated that the environment surrounding Jengka Renewable Energy Plant was polluted by the studied metal. In general, based on the correlation data, it could be concluded that all the metals (Fe, AI, Cu and Cr) would be originated from the same sources except for metal of Zn.
format Student Project
author Mohd Kanafi, Zaliana
author_facet Mohd Kanafi, Zaliana
author_sort Mohd Kanafi, Zaliana
title Element content of moss as possible air pollution indicator around renewable energy plant / Zaliana Mohd Kanafi
title_short Element content of moss as possible air pollution indicator around renewable energy plant / Zaliana Mohd Kanafi
title_full Element content of moss as possible air pollution indicator around renewable energy plant / Zaliana Mohd Kanafi
title_fullStr Element content of moss as possible air pollution indicator around renewable energy plant / Zaliana Mohd Kanafi
title_full_unstemmed Element content of moss as possible air pollution indicator around renewable energy plant / Zaliana Mohd Kanafi
title_sort element content of moss as possible air pollution indicator around renewable energy plant / zaliana mohd kanafi
publisher Faculty Of Applied Sciences
publishDate 2017
url http://ir.uitm.edu.my/id/eprint/25919/1/PPb_ZALIANA%20MOHD%20KANAFI%20AS%20C%2017_5.PDF
http://ir.uitm.edu.my/id/eprint/25919/
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score 13.209306