Melola Discovery

← Melola Discovery

Open access Journal SINTA 1

Determination of heavy metal elements concentration in soils and tailing sediments from lateritic nickel post-mining areas in Motui District, Southeast Sulawesi

Journal of Degraded and Mining Lands Management · Vol. 9 No. 2 (2022) · pp. 3273–3279

DOI
10.15243/jdmlm.2022.092.3273
ISSN
2502-2458, 2339-076X
Published
2022-01-01
Publisher
Brawijaya University
Language
eng
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Heavy metal elements concentration study has been determined from soils and tailing sediments in laterite nickel post-mining area in Motui District Southeast Sulawesi. This study aimed to determine the concentration of some heavy metal elements, especially Fe, Co, Mn and Cr, from surface soils sediments in waste dump sites and tailing sediments in settling ponds from lateritic nickel post-mining areas. A total of 20 samples consisting of 18 soil samples and 2 tailing sediments samples were systematically collected for the study. The soil samples from the waste dump site profile were collected from 3 layers which were divided based on the colour of the soils from top to bottom, namely Layer C, Layer D and Layer E. Six soil samples were taken from each layer with space between each sample in one layer was about 50 – 60 cm. The samples were sent to the laboratory and analysed using Atomic Absorption Spectrometer (AAS) method to determine the concentration of heavy elements. Metal-bearing minerals detected from the bedrock consists of chromite, manganese, magnetite and limonite which are responsible for the Cr, Mn and Co, and Fe content, respectively. The result showed that Fe content is significantly higher in soil samples from Layer C and tailing sediments with dark red to brown in colour, suggesting the strong relation between Fe content and colour index. The general element mobility trend showed that Mn and Co are positively correlated in soil sampling from all layers and tailing samples, whereas Fe and Cr show a negative correlation trend in Layer C, D and tailing sediments but positively correlated in Layer E.

Keywords

Collaboration network of the authors

27 authors · 64 co-authorship links · 10 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Hasanuddin University
  • Universitas Muslim Indonesia
  • Sekolah Tinggi Teknologi Migas
  • State University of Gorontalo
  • Universitas Cokroaminoto Palopo
  • Universitas Muhammadiyah Gorontalo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Erfan SyamsuddinHasanuddin University4
Sri WidodoHasanuddin University2
Hazairin ZubairAffiliation unknown2
Adi MaulanaAffiliation unknown2
Adi TonggirohAffiliation unknown2
Alimuddin HamzahAffiliation unknown2
Alimuddin Hamzah AssegafAffiliation unknown2
Ivan TaslimUniversitas Muhammadiyah Gorontalo1
Intan Noviantari ManyoeState University of Gorontalo1
Jamaluddin JamaluddinSekolah Tinggi Teknologi Migas1
Emi Prasetyawati UmarUniversitas Muslim Indonesia1
Aryadi NurfalaqUniversitas Cokroaminoto Palopo1
Muhammad Adam MarnasAffiliation unknown1
Irzal NurHasanuddin University1
Tri Andriyani HS KandoraHasanuddin University1
Nurlianti DahliarAffiliation unknown1
St. Hastuti SabangAffiliation unknown1
Ulva Ria IrvanAffiliation unknown1
Putu Oka NgakanAffiliation unknown1
Ambeng - AmbengAffiliation unknown1
Ridwan ArifinAffiliation unknown1
Zainurohmah ZainurohmahAffiliation unknown1
Okto IvansyahAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://jdmlm.ub.ac.id/index.php/jdmlm/oai, first harvested 9 Nov 2026, last seen 9 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Determination of heavy metal elements concentration in soils and tailing sediments from lateritic nickel post-mining areas in Motui District, Southeast Sulawesi</dc:title>
	<dc:creator>Mustafa, Muhardi</dc:creator>
	<dc:creator>Maulana, Adi</dc:creator>
	<dc:creator>Irfan, Ulva Ria</dc:creator>
	<dc:creator>Tonggiroh, Adi</dc:creator>
	<dc:subject xml:lang="en-US">heavy metal</dc:subject>
	<dc:subject xml:lang="en-US">lateritic nickel</dc:subject>
	<dc:subject xml:lang="en-US">Motui</dc:subject>
	<dc:subject xml:lang="en-US">post-mining</dc:subject>
	<dc:subject xml:lang="en-US">soil</dc:subject>
	<dc:subject xml:lang="en-US">tailing sediment</dc:subject>
	<dc:description xml:lang="en-US">Heavy metal elements concentration study has been determined from soils and tailing sediments in laterite nickel post-mining area in Motui District Southeast Sulawesi. This study aimed to determine the concentration of some heavy metal elements, especially Fe, Co, Mn and Cr, from surface soils sediments in waste dump sites and tailing sediments in settling ponds from lateritic nickel post-mining areas. A total of 20 samples consisting of 18 soil samples and 2 tailing sediments samples were systematically collected for the study. The soil samples from the waste dump site profile were collected from 3 layers which were divided based on the colour of the soils from top to bottom, namely Layer C, Layer D and Layer E. Six soil samples were taken from each layer with space between each sample in one layer was about 50 – 60 cm. The samples were sent to the laboratory and analysed using Atomic Absorption Spectrometer (AAS) method to determine the concentration of heavy elements. Metal-bearing minerals detected from the bedrock consists of chromite, manganese, magnetite and limonite which are responsible for the Cr, Mn and Co, and Fe content, respectively. The result showed that Fe content is significantly higher in soil samples from Layer C and tailing sediments with dark red to brown in colour, suggesting the strong relation between Fe content and colour index. The general element mobility trend showed that Mn and Co are positively correlated in soil sampling from all layers and tailing samples, whereas Fe and Cr show a negative correlation trend in Layer C, D and tailing sediments but positively correlated in Layer E.</dc:description>
	<dc:publisher xml:lang="en-US">Brawijaya University</dc:publisher>
	<dc:date>2022-01-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/1059</dc:identifier>
	<dc:identifier>10.15243/jdmlm.2022.092.3273</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Degraded and Mining Lands Management; Vol. 9 No. 2 (2022); 3273-3279</dc:source>
	<dc:source>2502-2458</dc:source>
	<dc:source>2339-076X</dc:source>
	<dc:source>10.15243/jdmlm.2022.092</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/1059/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Journal of Degraded and Mining Lands Management</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>