Assessment of heavy metals and nutrients availability in oil palm plantation effected by bauxite mining using geostatistical and multivariate analyses
The study aimed at evaluation of soil heavy metals in oil palm plantation and selected nutrients availability effected by mining. It was investigated using multivariate and geostatistical analyses followed by assessment using environmental indices. Samples were collected from both mining and o...
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IOP Publishing
2022
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الوصول للمادة أونلاين: | http://irep.iium.edu.my/99784/2/99784_Assessment%20of%20heavy%20metals%20and%20nutrients.pdf http://irep.iium.edu.my/99784/3/99784_Assessment%20of%20heavy%20metals%20and%20nutrients_Scopus.pdf http://irep.iium.edu.my/99784/ https://doi.org/10.1088/1755-1315/1064/1/012002 |
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my.iium.irep.997842022-09-02T01:00:26Z http://irep.iium.edu.my/99784/ Assessment of heavy metals and nutrients availability in oil palm plantation effected by bauxite mining using geostatistical and multivariate analyses Zulkifli, Mazidah A, Amalyn Muhamad Tajudin, Nur Shuhada Miskon, Mohd Fuad Faudzi, Fikriah Mohamad Anuar, Izzuddin S Agriculture (General) S494.5.S86 Sustainable agriculture The study aimed at evaluation of soil heavy metals in oil palm plantation and selected nutrients availability effected by mining. It was investigated using multivariate and geostatistical analyses followed by assessment using environmental indices. Samples were collected from both mining and oil palm cultivated area, prepared, and analyzed using ICPMS. Semi-variogram and kriging were done by using GS+ and ArcGIS 10.8, respectively. Content of Cu, Cr and Zn were higher compared to the Dutch target values and the 95% ‘Investigation Levels’ determined for Malaysia soil, while Pb showed a lower value. Analysis of Principal Component suggested that the heavy metals were from one source of contamination, particularly the mining activities and long-term agricultural practices. Geostatistics analyses revealed that Zn, Cu, Pb and Fe confront to a strong spatial dependence structure and in line with multivariate and statistical analysis, except for Cr, which had a moderate spatial dependence. Geoaccumulation Index demonstrated contamination occurred in the order of Cr>Cu>Fe>Zn>Ni>Pb. The heavy metals contamination has impacted the micronutrients contents as lower K, Ca and Mg were observed. These findings highlight that combining multivariate and geostatistical analysis can be valuable tools for assessing environmental contamination. IOP Publishing 2022 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/99784/2/99784_Assessment%20of%20heavy%20metals%20and%20nutrients.pdf application/pdf en http://irep.iium.edu.my/99784/3/99784_Assessment%20of%20heavy%20metals%20and%20nutrients_Scopus.pdf Zulkifli, Mazidah and A, Amalyn and Muhamad Tajudin, Nur Shuhada and Miskon, Mohd Fuad and Faudzi, Fikriah and Mohamad Anuar, Izzuddin (2022) Assessment of heavy metals and nutrients availability in oil palm plantation effected by bauxite mining using geostatistical and multivariate analyses. In: 11th IGRSM International Conference and Exhibition on Geospatial and Remote Sensing, IGRSM 2022, 7- 9 March 2022, Virtual. https://doi.org/10.1088/1755-1315/1064/1/012002 10.1088/1755-1315/1064/1/012002 |
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S Agriculture (General) S494.5.S86 Sustainable agriculture Zulkifli, Mazidah A, Amalyn Muhamad Tajudin, Nur Shuhada Miskon, Mohd Fuad Faudzi, Fikriah Mohamad Anuar, Izzuddin Assessment of heavy metals and nutrients availability in oil palm plantation effected by bauxite mining using geostatistical and multivariate analyses |
description |
The study aimed at evaluation of soil heavy metals in oil palm plantation
and selected nutrients availability effected by mining. It was investigated using
multivariate and geostatistical analyses followed by assessment using environmental
indices. Samples were collected from both mining and oil palm cultivated area,
prepared, and analyzed using ICPMS. Semi-variogram and kriging were done by
using GS+
and ArcGIS 10.8, respectively. Content of Cu, Cr and Zn were higher
compared to the Dutch target values and the 95% ‘Investigation Levels’ determined
for Malaysia soil, while Pb showed a lower value. Analysis of Principal Component
suggested that the heavy metals were from one source of contamination, particularly
the mining activities and long-term agricultural practices. Geostatistics analyses
revealed that Zn, Cu, Pb and Fe confront to a strong spatial dependence structure and
in line with multivariate and statistical analysis, except for Cr, which had a moderate
spatial dependence. Geoaccumulation Index demonstrated contamination occurred in
the order of Cr>Cu>Fe>Zn>Ni>Pb. The heavy metals contamination has impacted the
micronutrients contents as lower K, Ca and Mg were observed. These findings
highlight that combining multivariate and geostatistical analysis can be valuable tools
for assessing environmental contamination. |
format |
Conference or Workshop Item |
author |
Zulkifli, Mazidah A, Amalyn Muhamad Tajudin, Nur Shuhada Miskon, Mohd Fuad Faudzi, Fikriah Mohamad Anuar, Izzuddin |
author_facet |
Zulkifli, Mazidah A, Amalyn Muhamad Tajudin, Nur Shuhada Miskon, Mohd Fuad Faudzi, Fikriah Mohamad Anuar, Izzuddin |
author_sort |
Zulkifli, Mazidah |
title |
Assessment of heavy metals and nutrients availability in oil palm plantation effected by bauxite mining using geostatistical and multivariate analyses |
title_short |
Assessment of heavy metals and nutrients availability in oil palm plantation effected by bauxite mining using geostatistical and multivariate analyses |
title_full |
Assessment of heavy metals and nutrients availability in oil palm plantation effected by bauxite mining using geostatistical and multivariate analyses |
title_fullStr |
Assessment of heavy metals and nutrients availability in oil palm plantation effected by bauxite mining using geostatistical and multivariate analyses |
title_full_unstemmed |
Assessment of heavy metals and nutrients availability in oil palm plantation effected by bauxite mining using geostatistical and multivariate analyses |
title_sort |
assessment of heavy metals and nutrients availability in oil palm plantation effected by bauxite mining using geostatistical and multivariate analyses |
publisher |
IOP Publishing |
publishDate |
2022 |
url |
http://irep.iium.edu.my/99784/2/99784_Assessment%20of%20heavy%20metals%20and%20nutrients.pdf http://irep.iium.edu.my/99784/3/99784_Assessment%20of%20heavy%20metals%20and%20nutrients_Scopus.pdf http://irep.iium.edu.my/99784/ https://doi.org/10.1088/1755-1315/1064/1/012002 |
_version_ |
1743106851019423744 |
score |
13.250246 |