Spatial distribution of heavy metals in topsoil of solid waste landfills in Pahang / Nurul Khadijah Ramly

Heavy metal is the metallic chemical element that has a relatively high density and it is toxic and poisonous at low concentrations while soil is a complex matrix and a major reservoir of contamination. Soil can be polluted through many ways. For the soil in landfills, it can be polluted through...

Full description

Saved in:
Bibliographic Details
Main Author: Ramly, Nurul Khadijah
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/22442/1/TD_NURUL%20KHADIJAH%20RAMLY%20AP%20R%2018.5.PDF
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uitm-ir.22442
record_format uketd_dc
spelling my-uitm-ir.224422018-12-14T02:44:20Z Spatial distribution of heavy metals in topsoil of solid waste landfills in Pahang / Nurul Khadijah Ramly 2018-12 Ramly, Nurul Khadijah Geographic information systems Special types of environment. Including soil pollution, air pollution, noise pollution Heavy metal is the metallic chemical element that has a relatively high density and it is toxic and poisonous at low concentrations while soil is a complex matrix and a major reservoir of contamination. Soil can be polluted through many ways. For the soil in landfills, it can be polluted through the waste that disposed in the soil. The polluted soil is from leachate that triggered soil contamination in waste landfill through sorption and migration process. Hence, the high contamination of heavy metal in soil in landfill give risks for the public health due to the potential exposure to pathogenic agents, toxic substances, gases. The aim of this study is to detect the heavy metal on soil at solid waste landfills in Pahang. 12 sample of soil collected from topsoil of 4 landfill sites to determine the level of contamination of Copper (Cu), Chromium (Cr), Lead (Pb) and Zinc (Zn). Analytical determination is performed using ICP-OES. By using GIS (Geographical Information System), spatial analyst tools with interpolation method is performed. The study then produce the spatial distribution of heavy metal of the presence of heavy metal in the topsoil sample. The overall finding from this research that Zn have the highest contamination in topsoil of 4 landfills sites. The results shows heavy metal contamination on soil orders is Zn > Cr > Cu > Pb. For the spatial distribution of heavy metals, the high contamination of heavy metals for method IDW and natural neighbour is at Jengka landfill site. While for kriging and spline method, the high contamination of heavy metals in soil is at Jabor landfill. In conclusion, this research shows how the heavy metals distribute to their surrounding area through the interpolation methods that is used. 2018-12 Thesis https://ir.uitm.edu.my/id/eprint/22442/ https://ir.uitm.edu.my/id/eprint/22442/1/TD_NURUL%20KHADIJAH%20RAMLY%20AP%20R%2018.5.PDF other en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Geographic information systems
Geographic information systems
spellingShingle Geographic information systems
Geographic information systems
Ramly, Nurul Khadijah
Spatial distribution of heavy metals in topsoil of solid waste landfills in Pahang / Nurul Khadijah Ramly
description Heavy metal is the metallic chemical element that has a relatively high density and it is toxic and poisonous at low concentrations while soil is a complex matrix and a major reservoir of contamination. Soil can be polluted through many ways. For the soil in landfills, it can be polluted through the waste that disposed in the soil. The polluted soil is from leachate that triggered soil contamination in waste landfill through sorption and migration process. Hence, the high contamination of heavy metal in soil in landfill give risks for the public health due to the potential exposure to pathogenic agents, toxic substances, gases. The aim of this study is to detect the heavy metal on soil at solid waste landfills in Pahang. 12 sample of soil collected from topsoil of 4 landfill sites to determine the level of contamination of Copper (Cu), Chromium (Cr), Lead (Pb) and Zinc (Zn). Analytical determination is performed using ICP-OES. By using GIS (Geographical Information System), spatial analyst tools with interpolation method is performed. The study then produce the spatial distribution of heavy metal of the presence of heavy metal in the topsoil sample. The overall finding from this research that Zn have the highest contamination in topsoil of 4 landfills sites. The results shows heavy metal contamination on soil orders is Zn > Cr > Cu > Pb. For the spatial distribution of heavy metals, the high contamination of heavy metals for method IDW and natural neighbour is at Jengka landfill site. While for kriging and spline method, the high contamination of heavy metals in soil is at Jabor landfill. In conclusion, this research shows how the heavy metals distribute to their surrounding area through the interpolation methods that is used.
format Thesis
qualification_level Bachelor degree
author Ramly, Nurul Khadijah
author_facet Ramly, Nurul Khadijah
author_sort Ramly, Nurul Khadijah
title Spatial distribution of heavy metals in topsoil of solid waste landfills in Pahang / Nurul Khadijah Ramly
title_short Spatial distribution of heavy metals in topsoil of solid waste landfills in Pahang / Nurul Khadijah Ramly
title_full Spatial distribution of heavy metals in topsoil of solid waste landfills in Pahang / Nurul Khadijah Ramly
title_fullStr Spatial distribution of heavy metals in topsoil of solid waste landfills in Pahang / Nurul Khadijah Ramly
title_full_unstemmed Spatial distribution of heavy metals in topsoil of solid waste landfills in Pahang / Nurul Khadijah Ramly
title_sort spatial distribution of heavy metals in topsoil of solid waste landfills in pahang / nurul khadijah ramly
granting_institution Universiti Teknologi Mara Perlis
granting_department Faculty of Architecture, Planning and Surveying
publishDate 2018
url https://ir.uitm.edu.my/id/eprint/22442/1/TD_NURUL%20KHADIJAH%20RAMLY%20AP%20R%2018.5.PDF
_version_ 1783733818194132992