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...
Saved in:
Main Author: | |
---|---|
Format: | Student Project |
Language: | English |
Published: |
Faculty Of Applied Sciences
2017
|
Subjects: | |
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/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uitm.ir.25919 |
---|---|
record_format |
eprints |
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/ |
_version_ |
1685650065642749952 |
score |
13.209306 |