Determination of background values and assessment of pollution and ecological risk of heavy metals in urban agricultural soils of Yaoundé, Cameroon

Aboubakar, Amina; Douaik, Ahmed; Mewouo, Yvette Clarisse Mfopou; Madong, Raymond Charly Birang A.; Dahchour, Abdelmalek; Hajjaji, Souad El

doi:10.1007/s11368-021-02876-4

Cited by 48 publications

(23 citation statements)

References 40 publications

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“…In order to analyze the soil quality of an ecosystem and to determine the extent to which the soil is contaminated with a variety of different heavy metals, an ecological risk assessment of soil is utilized. 79 For proper calculation, the toxic response factors for Mn, Zn, Cr, Ni, Fe, Cu, Co, and Pb are 1, 1, 2, 5, 5, 5, 5, and 5, respectively. The range of Er values for the locations we analyzed is 0.10 (for Zn in S-2) to 29.25, with Pb > Cu > Co > Ni > Fe > Zn > Cr > Mn (for Pb in S-6).…”

Section: Results and Discussionmentioning

confidence: 99%

Evaluation of Heavy Metal Contamination in Soil Samples around Rampal, Bangladesh

et al. 2023

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Rising soil pollution has recently emerged as a significant global issue as a result of increased industrialization, urbanization, and inadequate waste management. In Rampal Upazila, soil contamination with heavy metals resulted in a significant deterioration of quality of life and life expectancy, so the study's goal is to appraise the level of heavy metal contamination in soil samples. Inductively coupled plasma−optical emission spectrometry was used to identify 13 heavy metals (Al, Na, Cr, Co, Cu, Fe, Mg, Mn, Ni, Pb, Ca, Zn, and K) from 17 soil samples that were collected at random from Rampal. Enrichment factor (EF), geo-accumulation index (I geo ), contamination factor (CF), pollution load index, elemental fractionation, and potential ecological risk analysis were used to evaluate the level of pollution and sources of metal. The average concentration of heavy metals implies that they are below in the permissible limit except for Pb. Environmental indices also showed the same result for Pb. The ecological risk index (RI) for six elements�Mn, Zn, Cr, Fe, Cu, and Pb�is 26.575. For investigating the behavior and origin of elements, multivariate statistical analysis was also applied. From the EF, Na, Cr, Fe, and Mg are in the anthropogenic region, and Al, Co, Cu, Mn, Ni, Ca, K, and Zn are minorly polluted, but Pb is highly contaminated in the Rampal area. The geo-accumulation index exhibits that Pb is slightly contaminated but others are not, while CF shows no contamination in this region. From the ecological RI, the value which is below 150 is called uncontaminated, which indicates that our studied area is ecologically free. There are various classifications of heavy metal contamination in the study area. Therefore, regular monitoring of soil pollution is required, and the public awareness needs to be raised to ensure a safe environment.

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Section: Results and Discussionmentioning

confidence: 99%

Evaluation of Heavy Metal Contamination in Soil Samples around Rampal, Bangladesh

et al. 2023

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“… Hakanson (1980) originally proposed the potential ecological risk index (PERI) to effectively appraise the ecological risk of HMs in sediment or soil. Extensive studies have applied PERI to estimate the potential ecological risk and pollution level triggered by single or multiple HMs ( Aboubakar et al, 2021 ; Gujre, Rangan & Mitra, 2021 ; Sun et al, 2010 ). The (3) – (5) to calculate PERI are as: …”

Section: Methodsmentioning

confidence: 99%

Spatial distribution and ecological risk assessment of heavy metals in karst soils from the Yinjiang County, Southwest China

Han

2022

PeerJ

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Background Soil heavy metals (HMs) under different land-use types have diverse effects, which may trigger the ecological risk. To explore the potential sources of HMs in karst soils, the spatial distribution and geochemical behavior of HMs based on different land-use types are employed in this study. Methods Soil samples (n = 47) were collected in three suites of karst soil profiles from the secondary forest, abandoned cropland and shrubland in Yinjiang, Southwest China. The concentrations of Ni, Mn, Cr, Pb, Cd and Mo were determined to give a comprehensive understanding of the possible sources of these HMs and evaluate the potential ecological risk in Yinjiang County. Results The mean concentrations of HMs in all profiles followed the same order: Mn > Cr > Ni > Pb > Mo > Cd. Meanwhile, the concentrations of most HMs roughly increased with the depth. Additionally, the concentrations of HMs were mostly correlated with soil pH and SOC, rather than with clay and silt proportions. By contrast, with the enrichment factors (EF), geo-accumulation (Igeo) and potential ecological risk index (PERI) of HMs in soil under different land-use types, the results indicated that these HMs exhibited non-pollution (Igeo < 0) and no ecological risk (PERI < 30) to human health in soils of Yinjiang County. Conclusions The distribution of HMs is dominated by weathering in the karst area, and the effects of agricultural inputs on the enrichment of soil HMs in Yinjiang County are limited. This further state that the arrangement of the local agricultural structure is reasonable.

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“…The methodology of this research consisted of compiling, systematizing and analyzing data from three years of monitoring performed by the Geological Survey of Brazil (SGB/CPRM) in the region. The data was classified, analyzed and statistically processed in order to obtain the background values, according to scientific standards of previous works (Aboubakar et al, 2021;Dung et al, 2013;Ismaiel et al, 2018;Sequeira et al, 2020;Simão et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

Surface water resources of Santa Catarina state’s southern region - geochemical background of the coal mining territory

Cardoso

Fan

Franzen

et al. 2022

RBRH

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In the environmental reclaiming process, it is essential to distinguish between chemical elements concentrations that occur naturally in water resources (geochemical background), from those originated from anthropogenic activities. Despite the environmental efforts that have been carried out for more than two decades in the southern Brazilian region impacted by coal mining, its geochemical background is still not completely known. Filling this environmental knowledge gap was the objective of this work, which systematically analyzed the results of monitoring efforts carried out by the Geological Survey of Brazil (SGB/CPRM) across three years. Quality parameter distributions of rivers and streams unaffected by anthropogenic impact were analyzed. The database was used to perform principal component analysis (PCA) and cluster analysis, and to define the background values, which was done through the boxplot and ± 2 MAD (Median Absolute Deviation) methods. The results of multivariate statistical analyses clustered the monitoring sites into two groups, one related to the sedimentary rocks of the Paraná Basin and another to the crystalline basement rocks. The sedimentary group had a greater correlation with the parameters Eh, SO42-, Ca, Mg, EC, Mn, Acidity, Zn and Na; while, and the crystalline rocks group were better correlated with pH, Cu, Al, K, and Fe. The results of the geochemical background were similar for both methods, with values of pH, Fe, Al, and Mn being slightly different from those defined in Brazilian legislation (CONAMA 357/05 and MS 888/21).

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Determination of background values and assessment of pollution and ecological risk of heavy metals in urban agricultural soils of Yaoundé, Cameroon

Cited by 48 publications

References 40 publications

Evaluation of Heavy Metal Contamination in Soil Samples around Rampal, Bangladesh

Evaluation of Heavy Metal Contamination in Soil Samples around Rampal, Bangladesh

Spatial distribution and ecological risk assessment of heavy metals in karst soils from the Yinjiang County, Southwest China

Surface water resources of Santa Catarina state’s southern region - geochemical background of the coal mining territory

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