Statistical and spatial analysis for soil heavy metals over the Murray-Darling river basin in Australia

Heavy metals (HMs) are a vital elements for investigating the pollutant level of sediments and water bodies. The Murray-Darling river basin area located in Australia is experiencing severe damage to increased crop productivity, loss of soil fertility, and pollution levels within the vicinity of the...

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Published in:Chemosphere
Main Author: Tao H.; Al-Hilali A.A.; Ahmed A.M.; Mussa Z.H.; Falah M.W.; Abed S.A.; Deo R.; Jawad A.H.; Abdul Maulud K.N.; Latif M.T.; Yaseen Z.M.
Format: Article
Language:English
Published: Elsevier Ltd 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147306656&doi=10.1016%2fj.chemosphere.2023.137914&partnerID=40&md5=6b986ce8238e49b01ba5f0c364a23ee7
id 2-s2.0-85147306656
spelling 2-s2.0-85147306656
Tao H.; Al-Hilali A.A.; Ahmed A.M.; Mussa Z.H.; Falah M.W.; Abed S.A.; Deo R.; Jawad A.H.; Abdul Maulud K.N.; Latif M.T.; Yaseen Z.M.
Statistical and spatial analysis for soil heavy metals over the Murray-Darling river basin in Australia
2023
Chemosphere
317

10.1016/j.chemosphere.2023.137914
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147306656&doi=10.1016%2fj.chemosphere.2023.137914&partnerID=40&md5=6b986ce8238e49b01ba5f0c364a23ee7
Heavy metals (HMs) are a vital elements for investigating the pollutant level of sediments and water bodies. The Murray-Darling river basin area located in Australia is experiencing severe damage to increased crop productivity, loss of soil fertility, and pollution levels within the vicinity of the river system. This basin is the most effective primary production area in Australia where agricultural productivity is increased the gross domastic product in the entire mainland. In this study, HMs contaminations are examined for eight study sites selected for the Murray-Darling river basin where the inverse Distance Weighting interpolation method is used to identify the distribution of HMs. To pursue this, four different pollution indices namely the Geo-accumulation index (Igeo), Contamination factor (CF), Pollution load index (PLI), single-factor pollution index (SPLI), and the heavy metal pollution index (HPI) are computed. Following this, the Pearson correlation matrix is used to identify the relationships among the two HM parameters. The results indicate that the conductivity and N (%) are relatively high in respect to using Igeo and PLI indexes for study sites 4, 6, and 7 with 2.93, 3.20, and 1.38, respectively. The average HPI is 216.9071 that also indicates higher level pollution in the Murray-Darling river basin and the highest HPI value is noted in sample site 1 (353.5817). The study also shows that the levels of Co, P, Conductivity, Al, and Mn are mostly affected by HMs and that these indices indicate the maximum HM pollution level in the Murray-Darling river basin. Finally, the results show that the high HM contamination level appears to influence human health and local environmental conditions. © 2023 Elsevier Ltd
Elsevier Ltd
456535
English
Article

author Tao H.; Al-Hilali A.A.; Ahmed A.M.; Mussa Z.H.; Falah M.W.; Abed S.A.; Deo R.; Jawad A.H.; Abdul Maulud K.N.; Latif M.T.; Yaseen Z.M.
spellingShingle Tao H.; Al-Hilali A.A.; Ahmed A.M.; Mussa Z.H.; Falah M.W.; Abed S.A.; Deo R.; Jawad A.H.; Abdul Maulud K.N.; Latif M.T.; Yaseen Z.M.
Statistical and spatial analysis for soil heavy metals over the Murray-Darling river basin in Australia
author_facet Tao H.; Al-Hilali A.A.; Ahmed A.M.; Mussa Z.H.; Falah M.W.; Abed S.A.; Deo R.; Jawad A.H.; Abdul Maulud K.N.; Latif M.T.; Yaseen Z.M.
author_sort Tao H.; Al-Hilali A.A.; Ahmed A.M.; Mussa Z.H.; Falah M.W.; Abed S.A.; Deo R.; Jawad A.H.; Abdul Maulud K.N.; Latif M.T.; Yaseen Z.M.
title Statistical and spatial analysis for soil heavy metals over the Murray-Darling river basin in Australia
title_short Statistical and spatial analysis for soil heavy metals over the Murray-Darling river basin in Australia
title_full Statistical and spatial analysis for soil heavy metals over the Murray-Darling river basin in Australia
title_fullStr Statistical and spatial analysis for soil heavy metals over the Murray-Darling river basin in Australia
title_full_unstemmed Statistical and spatial analysis for soil heavy metals over the Murray-Darling river basin in Australia
title_sort Statistical and spatial analysis for soil heavy metals over the Murray-Darling river basin in Australia
publishDate 2023
container_title Chemosphere
container_volume 317
container_issue
doi_str_mv 10.1016/j.chemosphere.2023.137914
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147306656&doi=10.1016%2fj.chemosphere.2023.137914&partnerID=40&md5=6b986ce8238e49b01ba5f0c364a23ee7
description Heavy metals (HMs) are a vital elements for investigating the pollutant level of sediments and water bodies. The Murray-Darling river basin area located in Australia is experiencing severe damage to increased crop productivity, loss of soil fertility, and pollution levels within the vicinity of the river system. This basin is the most effective primary production area in Australia where agricultural productivity is increased the gross domastic product in the entire mainland. In this study, HMs contaminations are examined for eight study sites selected for the Murray-Darling river basin where the inverse Distance Weighting interpolation method is used to identify the distribution of HMs. To pursue this, four different pollution indices namely the Geo-accumulation index (Igeo), Contamination factor (CF), Pollution load index (PLI), single-factor pollution index (SPLI), and the heavy metal pollution index (HPI) are computed. Following this, the Pearson correlation matrix is used to identify the relationships among the two HM parameters. The results indicate that the conductivity and N (%) are relatively high in respect to using Igeo and PLI indexes for study sites 4, 6, and 7 with 2.93, 3.20, and 1.38, respectively. The average HPI is 216.9071 that also indicates higher level pollution in the Murray-Darling river basin and the highest HPI value is noted in sample site 1 (353.5817). The study also shows that the levels of Co, P, Conductivity, Al, and Mn are mostly affected by HMs and that these indices indicate the maximum HM pollution level in the Murray-Darling river basin. Finally, the results show that the high HM contamination level appears to influence human health and local environmental conditions. © 2023 Elsevier Ltd
publisher Elsevier Ltd
issn 456535
language English
format Article
accesstype
record_format scopus
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