Spatial distribution and source identification of heavy metals (As, Cr, Cu and Ni) at sub-watershed scale using geographically weighted regression

Mohammadi, Maziar; Darvishan, Abdulvahed Khaledi; Bahramifar, Nader

doi:10.1016/j.iswcr.2019.01.005

Cited by 22 publications

(9 citation statements)

References 33 publications

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“…The present results confirm the results from previous studies, showing that HM concentrations are mainly connected with point sources of pollution [ 6 , 23 , 41 ]. An analysis of 47 rivers in Poland shows that there are two main sources of point pollution, industrial and urban.…”

Section: Discussionsupporting

confidence: 92%

“…In general, each catchment has a unique pattern for delivering HMs to water, driven by the type and distribution of pollution sources and emission rates [ 40 ]. Land use plays a vital role in water and sediment pollution [ 38 , 41 , 42 ]. Liu et al [ 43 ] indicate that in addition to primary land-use types, landscape diversity and structure are important to HM supply.…”

Section: Introductionmentioning

confidence: 99%

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Heavy Metals in River Sediments: Contamination, Toxicity, and Source Identification—A Case Study from Poland

Sojka

Jaskuła

2022

IJERPH

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This study investigated the spatial distribution, contamination, potential ecological risks and quantities of pollutant sources of six heavy metals (HMs) in sediments of 47 rivers. The catchments of the investigated rivers are situated in Poland, but some of them are located in Slovakia, the Czech Republic, and Germany. Cluster analysis was applied to analyze the spatial distribution of Cd, Cr, Cu, Ni, Pb, and Zn in river sediments. Moran I and Getis-Ord Gi* statistics were calculated to reveal the distribution pattern and hotspot values. Principal component analysis (PCA) and positive matrix factorization (PMF) were used to identify pollution sources. Furthermore, geochemical indices and sediment quality guidelines allowed us to assess sediment contamination and potential toxic effects on aquatic biota. The results showed that in 1/3rd of the rivers, the HM pattern and concentrations indicate sediment contamination. The EF, PLI, and MPI indices indicate that concentrations were at a rather low level in 2/3rd of the analyzed rivers. Only in individual rivers may the HMs have toxic effects on aquatic biota. Spatial autocorrelation analysis using the Moran I statistic revealed a random and dispersed pattern of HMs in river sediments. PCA analysis identified two sources of HMs’ delivery to the aquatic environment. Cr, Cu, Ni, Pb, and Zn originate from point and non-point sources, while Cd concentrations have a dominant natural origin. The PMF identified three sources of pollution. Among them, urban pollution sources are responsible for Cu delivery, agricultural pollution for Zn, and industrial pollution for Ni and Cr. Moreover, the analysis showed no relationship between catchment land-use patterns and HM content in river sediments.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Heavy Metals in River Sediments: Contamination, Toxicity, and Source Identification—A Case Study from Poland

Sojka

Jaskuła

2022

IJERPH

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“…Mohammadi, Darvishan, and Bahramifar (2019) inspected the sources and spatial distribution of heavy metals, that is, As, Cr, Cu, and Ni by using geographically weighted regression (GWR) at twelve sub‐watersheds (SWs) where lands were used for forest, irrigated agriculture, rain fed agriculture, and rangeland. Concentrations of As, Cr, Cu, and Ni were 1.40–12.40, 49.50–409.58, 6.60–65.50, and 12.60–198.28 ppm, respectively, but upstream concentrations were higher than that of downstream concentrations in the SWs and As sources were coal mining; Cr sources were smelting, tanning, and metal finishing; Ni sources were forest fire, weathering, erosion, electroplating, melting, and refining; and Cu sources were industrial activities in that region.…”

Section: Contamination Identification and Monitoringmentioning

confidence: 99%

Contaminated aquatic sediments

Hossain

2020

Water Environment Research

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Aquatic sediments are contaminated by different anthropogenic activities and natural deposition. This review manuscript has discussed on published manuscript in 2019 based on monitoring and identification of contaminants, GIS application and isotopic evaluation for monitoring of pollutants, physicochemical and biochemical fate and transport of the pollutants as well as remediation and toxicity analysis so that environmental and ecological impacts due to pollution can be minimized.

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“…Heavy metal pollution in surface as well as subsurface sources is one of the hazards to human life. Heavy metal sources are classified into two natural processes such as rock erosion-weather cycle and anthropogenic activities [ 2 ]. Energy generation by a thermal power plant is the major source of heavy metal contamination in the environment among all human activities [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Taguchi optimization, equilibrium isotherms, and kinetic modeling for cadmium adsorption onto deposited silt

Korake

Jadhao²

2021

Heliyon

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Spatial distribution and source identification of heavy metals (As, Cr, Cu and Ni) at sub-watershed scale using geographically weighted regression

Cited by 22 publications

References 33 publications

Heavy Metals in River Sediments: Contamination, Toxicity, and Source Identification—A Case Study from Poland

Heavy Metals in River Sediments: Contamination, Toxicity, and Source Identification—A Case Study from Poland

Contaminated aquatic sediments

Investigation of Taguchi optimization, equilibrium isotherms, and kinetic modeling for cadmium adsorption onto deposited silt

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