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...
Published in: | Chemosphere |
---|---|
Main Author: | |
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 |
collection |
Scopus |
_version_ |
1809678477839826944 |