Assessment of metal contamination in sediment of Kerala Coast, India using EDXRF technique and Multivariate Statistical method

The current study focused on the distribution of heavy metals in sediments from coastline of Kerala, India using Energy Dispersive X-ray Fluorescence (EDXRF) technique. The concentration of V, Cr, Mn, Cu, Zn, Ba, Rb, Zr, As, Br, Sr, and Pb was determined in the sediment samples. The extent of pollut...

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Main Authors: T. Kiruba, P. Jayaprakash, J. Juliet Josephine Joy, J. Venkatamuthukumar, M. Suresh Gandhi, R. Ravisankar
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-03-01
Series:Nuclear Analysis
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Online Access:http://www.sciencedirect.com/science/article/pii/S277318392400051X
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author T. Kiruba
P. Jayaprakash
J. Juliet Josephine Joy
J. Venkatamuthukumar
M. Suresh Gandhi
R. Ravisankar
author_facet T. Kiruba
P. Jayaprakash
J. Juliet Josephine Joy
J. Venkatamuthukumar
M. Suresh Gandhi
R. Ravisankar
author_sort T. Kiruba
collection DOAJ
description The current study focused on the distribution of heavy metals in sediments from coastline of Kerala, India using Energy Dispersive X-ray Fluorescence (EDXRF) technique. The concentration of V, Cr, Mn, Cu, Zn, Ba, Rb, Zr, As, Br, Sr, and Pb was determined in the sediment samples. The extent of pollution to sediment was assessed via various pollution indices such as enrichment factor (EF), contamination factor (CF), geo accumulation index (Igeo), metal pollution load index (MPI), degree of contamination (Cd), modified contamination degree (mCd), and potential contamination index (Cp) based on the corresponding background values. The source of origin of heavy metals and the correlation amongst the studied elements was studied using multivariate analysis approach (Pearson correlation matrix, principal component analysis and cluster analysis). The Sediment Quality Guidelines (SQGs) was applied to understand the ecotoxicological significance of heavy metal toxicity. The observed concentration of heavy metals in the studied sediments is due to anthropogenic activity and also from the discharge of municipal wastewater, domestic sewage, fishing harbor activities, industrial and aquaculture pollutants. A regular surveillance and remedial measures for contaminant discharge may reduce the metal content in the study area.
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spelling doaj-art-5ee358926abd4e59bfb9adb53ccc1ef92025-08-20T03:43:01ZengKeAi Communications Co., Ltd.Nuclear Analysis2773-18392025-03-014110015110.1016/j.nucana.2024.100151Assessment of metal contamination in sediment of Kerala Coast, India using EDXRF technique and Multivariate Statistical methodT. Kiruba0P. Jayaprakash1J. Juliet Josephine Joy2J. Venkatamuthukumar3M. Suresh Gandhi4R. Ravisankar5Post Graduate and Research Department of Physics, Kalaignar Karunanidhi Government Arts College, Tiruvannamalai, 606603, Tamil Nadu, IndiaDepartment of Physics, St. Joseph's Institute of Technology, OMR, Chennai, 600119, Tamil Nadu, IndiaDepartment of Physics, Hindustan College of Engineering and Technology, Coimbatore, 641032, Tamil Nadu, IndiaDepartment of Physics, Rajalakshmi Engineering College, Thandalam, Chennai, 602105, Tamil Nadu, IndiaDepartment of Geology, University of Madras, Guindy Campus, Chennai, 600025, Tamil Nadu, IndiaPost Graduate and Research Department of Physics, Kalaignar Karunanidhi Government Arts College, Tiruvannamalai, 606603, Tamil Nadu, India; Corresponding author.The current study focused on the distribution of heavy metals in sediments from coastline of Kerala, India using Energy Dispersive X-ray Fluorescence (EDXRF) technique. The concentration of V, Cr, Mn, Cu, Zn, Ba, Rb, Zr, As, Br, Sr, and Pb was determined in the sediment samples. The extent of pollution to sediment was assessed via various pollution indices such as enrichment factor (EF), contamination factor (CF), geo accumulation index (Igeo), metal pollution load index (MPI), degree of contamination (Cd), modified contamination degree (mCd), and potential contamination index (Cp) based on the corresponding background values. The source of origin of heavy metals and the correlation amongst the studied elements was studied using multivariate analysis approach (Pearson correlation matrix, principal component analysis and cluster analysis). The Sediment Quality Guidelines (SQGs) was applied to understand the ecotoxicological significance of heavy metal toxicity. The observed concentration of heavy metals in the studied sediments is due to anthropogenic activity and also from the discharge of municipal wastewater, domestic sewage, fishing harbor activities, industrial and aquaculture pollutants. A regular surveillance and remedial measures for contaminant discharge may reduce the metal content in the study area.http://www.sciencedirect.com/science/article/pii/S277318392400051XSedimentHeavy metalPollution indicesMultivariate statistical analysis
spellingShingle T. Kiruba
P. Jayaprakash
J. Juliet Josephine Joy
J. Venkatamuthukumar
M. Suresh Gandhi
R. Ravisankar
Assessment of metal contamination in sediment of Kerala Coast, India using EDXRF technique and Multivariate Statistical method
Nuclear Analysis
Sediment
Heavy metal
Pollution indices
Multivariate statistical analysis
title Assessment of metal contamination in sediment of Kerala Coast, India using EDXRF technique and Multivariate Statistical method
title_full Assessment of metal contamination in sediment of Kerala Coast, India using EDXRF technique and Multivariate Statistical method
title_fullStr Assessment of metal contamination in sediment of Kerala Coast, India using EDXRF technique and Multivariate Statistical method
title_full_unstemmed Assessment of metal contamination in sediment of Kerala Coast, India using EDXRF technique and Multivariate Statistical method
title_short Assessment of metal contamination in sediment of Kerala Coast, India using EDXRF technique and Multivariate Statistical method
title_sort assessment of metal contamination in sediment of kerala coast india using edxrf technique and multivariate statistical method
topic Sediment
Heavy metal
Pollution indices
Multivariate statistical analysis
url http://www.sciencedirect.com/science/article/pii/S277318392400051X
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