Source identification and assessment of heavy metal contamination in urban soils based on cluster analysis and multiple pollution indices

Lee, Hong-gil; Kim, Hyun-Koo; Noh, Hoe-Jung; Byun, Yoon Joo; Chung, Hyen-Mi; Kim, Ji‐In

doi:10.1007/s11368-020-02716-x

Cited by 14 publications

(5 citation statements)

References 51 publications

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“…Table3shows a positive correlation between Cr and Co, Cu, Fe, Ni, Pb, and K, which indicates that they have a similar source and they have serious health hazards when they are injected into the human body by Cr(VI). , A strong correlation of Co with Cu, Fe, Mn, Ni, K, Pb, and Cr and Cu with Cr, Co, Fe, Mn, Ni, Pb, and K indicates that the K, Pb, Ni, Mn, Fe, and Cr orientations were controlled by identical factors such as cobalt chloride, Cu 2+ , Mn oxide, clay minerals, anthropogenic activities, industrial pollution, agricultural activities, and so forth. ,, Mn also possesses a correlation among Ni, Pb, Zn, Co, and Cu because of rocks, fertilizers, pollution, and so forth. A majority of elements exhibit very poor or negative correlation with Mg, Al, Na, Fe, and Ca, which indicates different geochemical behaviors and external input operating. , …”

Section: Results and Discussionmentioning

confidence: 99%

“…A majority of elements exhibit very poor or negative correlation with Mg, Al, Na, Fe, and Ca, which indicates different geochemical behaviors and external input operating. 78 , 84 …”

Section: Results and Discussionmentioning

confidence: 99%

“…A majority of elements exhibit very poor or negative correlation with Mg, Al, Na, Fe, and Ca, which indicates different geochemical behaviors and external input operating. 78,84 Potential Ecological Risk Analysis. 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.…”

Section: ■ Potential Ecological Risk Indexmentioning

confidence: 99%

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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%

“…A majority of elements exhibit very poor or negative correlation with Mg, Al, Na, Fe, and Ca, which indicates different geochemical behaviors and external input operating. 78 , 84 …”

Section: Results and Discussionmentioning

confidence: 99%

Section: ■ Potential Ecological Risk Indexmentioning

confidence: 99%

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

et al. 2023

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“…Based on a large amount of data obtained from infiltration and evaporation experiments, a hierarchical cluster analysis (HCA) was used to standardize the water infiltration and evaporation parameters of each treatment and then classify the most similar treatments into the same category according to the between-groups linkage method. This allowed the average value of the water characteristic parameters of different categories to be compared visually to determine the optimal treatment category 48 . The measurement interval was the Euclidean distance.…”

Section: Methodsmentioning

confidence: 99%

Influence of coal gangue mulching with various thicknesses and particle sizes on soil water characteristics

Han

Dong

Geng

et al. 2021

Sci Rep

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Water availability seriously affects vegetation restoration in arid mining areas, and mulching is an effective way to improve soil water conditions. Coal gangue occupies large swathes of land resources, resulting in ecological fragility and various environmental problems. Despite coal gangue having mineral elements similar to those in soil, its potential function as a mulch for soil water conservation has been unclear. Herein, mulching on the surfaces of soil columns with 30 cm height and 15 cm inner diameter was conducted using coal gangue with four particle size ranges (0–0.5, 0.5–1, 1–2, and 2–4 cm) and four thicknesses (4, 8, 12, and 16 cm) under laboratory conditions to investigate water infiltration and evaporation under different conditions. The cumulative infiltration of the treatments with mulching thicknesses of 4 cm (T1), 8 cm (T2), 12 cm (T3), and 16 cm (T4) was 16.1%, 22.9%, 28.6%, and 41.6% greater than that of the control, respectively. The cumulative evaporation of the treatments with particle size ranges of 0–0.5 cm (P1), 0.5–1 cm (P2), 1–2 cm (P3), and 2–4 cm (P4) was 6.5%, 28.6%, 22.9%, and 18.6% lower than the control, respectively. Overall, to enhance the soil water storage capacity in mining areas, the results suggest that coal gangue mulching with a thickness of 8–16 cm and particle size range of 0.5–2 cm is suitable.

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“…Therefore, Co/Co+C indicated the spatial variation of PHE concentrations caused by artificial and other nonnatural random factors accounting for the proportion of the total variation. If the ratio is less than 25%, the spatial variation is dominated by structural variations, and each sampling site has a strong spatial correlation, between 25% and 75%, the variable has moderate [17,[27][28][29][30]. In this study, the optimal spatial variation model was selected based on the principle of the maximum value of R 2 and the minimum value of RSS.…”

Section: Spatial Structures Of Phesmentioning

confidence: 99%

Source Identification and Spatial Variation Analysis of Potentially Hazardous Elements in Topsoil Based on Multi-Source Data in Longkou City, China

Yu¹,

Wu²,

Qiao³

et al. 2021

Pol. J. Environ. Stud.

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Source identification and assessment of heavy metal contamination in urban soils based on cluster analysis and multiple pollution indices

Cited by 14 publications

References 51 publications

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

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

Influence of coal gangue mulching with various thicknesses and particle sizes on soil water characteristics

Source Identification and Spatial Variation Analysis of Potentially Hazardous Elements in Topsoil Based on Multi-Source Data in Longkou City, China

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