Assessment of heavy metal contamination in sediment at the newly established tannery industrial Estate in Bangladesh: A case study

Rahman, M. Safiur; Ahmed, Zia; Seefat, Sirajum Munir; Alam, Rafiul; Islam, Abu Reza Md. Towfiqul; Choudhury, Tasrina Rabia; Begum, Bilkis A.; Idris, Abubakr M.

doi:10.1016/j.enceco.2021.10.001

Cited by 91 publications

(35 citation statements)

References 52 publications

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“…Enrichment factor is a quantitative evaluation method to assess the influence of anthropogenic activities on the enrichment of heavy metals in atmospheric particles [4,5], street dust [1,43], sediment [44,45], and soil [46,47]. In order to reduce the man-made influence in the sampling and sample preparation process and ensure the comparability and equivalence of each index factor, the elements in the test samples were normalized with reference elements as the reference standard [45]. The reference elements are required to be less affected by the environment and the analysis and test process, and their properties are stable.…”

Section: Enrichment Factor (Ef)mentioning

confidence: 99%

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Distribution, Ecological Risk and Source Analysis of Heavy Metals in Farmland Soil around Chating Copper Ore in Xuancheng Region of Southern China

Chen¹,

Xu²,

Feng³

2023

Pol. J. Environ. Stud.

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To study the effects of metal mineralization and mine operation on surrounding ecological environment and human health, 69 farmland soil samples of study area were collected, tested with seven heavy metals and analyzed with environmental risk assessment, spatial distribution, and source identification. The I geo values of Cu and Pb indicated light-moderate pollution level and Co belonged to moderate pollution level. The EF values of Co represented moderately severe enrichment level, and Cu and Pb belonged to moderate enrichment level. The E r i values were in decreasing order of Co>Cu>Pb>Cr>Zn>Mn>Fe, moreover both E r i and RI values of seven heavy metals were at low ecological risk level. The spatial distribution of Fe, Zn, Cr and Mn showed a trend "high in northwest and low in southeast", and Co and Cu were similar with the characteristics "the closer to Chating copper ore, the higher the value", and points with higher content for Pb were distributed along the roads beside Gucheng Lake and irrigation canal. Pearson correlation analysis (CA), hierarchical cluster analysis (HACA), and principal component analysis (PCA) were adopted to gradually identified the characteristics, interactions, classifications and possible sources. PC1 was explained by Fe, Cr, Mn and Zn and might be the natural source influenced by the crust and soil parent material; PC2 was dominated by Pb and Zn and might be derived from transportation and mechanical operations; PC3 was loaded by Cu and might be greatly affected by copper mining activities.

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Section: Enrichment Factor (Ef)mentioning

confidence: 99%

“…The reference elements are required to be less affected by the environment and the analysis and test process, and their properties are stable. The commonly used reference elements are Zr [47], Mn [43], Ti [48], Al [49], Fe [46], As [45], Sc, Ca and Li.…”

Section: Enrichment Factor (Ef)mentioning

confidence: 99%

Distribution, Ecological Risk and Source Analysis of Heavy Metals in Farmland Soil around Chating Copper Ore in Xuancheng Region of Southern China

Chen¹,

Xu²,

Feng³

2023

Pol. J. Environ. Stud.

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“…e contamination factor is used to determine the degree of sediment contamination due to a particular heavy metal [28]. is also can be used to assess the chemical constituent of sediment [29].…”

Section: Degree Of Contaminationmentioning

confidence: 99%

Determination of Heavy Metal Pollution in the Dankran River in the Bekwai Municipality of Ghana

Afriyie

Sackey

Ofori

2022

Journal of Chemistry

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Water pollution has been a major issue across the globe because of industrial activities to meet the needs of people. Many chemicals are released into the environment through these processes, which affect human health and the environment. Hence, the study aimed to assess the concentration of heavy metals (Cu, Zn, Mn, Ni, Hg, and Fe) and the physicochemical and biological properties of the Dankra River. The samples were taken from three locations, Konyaw, Jumako, and Anwiankwanta, and subjected to standard laboratory tests using Atomic Absorption Spectroscopy (AAS) and Inductively Coupled Plasma Mass Spectroscopy (ICP-MS). Results revealed that the Dankran river was not polluted with the selected heavy metals under study. The physicochemical properties, the biological oxygen demand (BOD), chemical oxygen demand (COD), and nitrogen, phosphorus, and potassium (NPK) concentrations were all within the allowable healthy limits according to WHO standards. Iron was the predominant metal in the Dankran river, with the highest concentration of 6.5913 mg/l. Thus, the river is safe to use, but there is a need for regular monitoring to support life. The order of concentration of the investigated metals follows this pattern in descending order: Fe > Mn > Cu > Zn > Ni > Hg.

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“…Many studies have revealed that anthropic inputs, including the unplanned urbanization of cities and the development of industries and factories, have increased river water pollution, which degrades surface water quality (Proshad et al 2022;Namngam et al 2021). Rapid economic growth has resulted in the development of many high-tech industries and infrastructures that play a critical role in the elevated levels of toxic metal(loid)s found in rivers in both developed and developing countries, including Bangladesh (Rahman et al 2022). For example, the northwest region of the Pabna district of Bangladesh primarily relies on its riverine ecosystem to support the economy and livelihood of its population.…”

Section: Introductionmentioning

confidence: 99%

Distribution, sources, and pollution levels of toxic metal(loid)s in an urban river (Ichamati), Bangladesh using SOM and PMF modeling with GIS tool

Nasiruddin

Islam

Siddique

et al. 2022

Environ Sci Pollut Res

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Indexical assessment coupled with a self-organizing map (SOM) and positive matrix factorization (PMF) modeling of toxic metal(loid)s in sediment and water of the aquatic environment provides valuable information from the environmental management perspective. However, in northwest Bangladesh, indexical and modeling assessments of toxic metal(loid)s in surface water and sediment are still rare. Toxic metal(loid)s were measured in sediment and surface water from an urban polluted river (Ichamati) in northwest Bangladesh using an atomic absorption spectrophotometer to assess distribution, pollution levels, sources, and potential environmental risks to the aquatic environment. The mean concentrations (mg/kg) of metal(loid)s in water are as follows: Fe (871) > Mn (382) > Cr (72.4) > Zn (34.2) > Co (20.8) > Pb (17.6) > Ni (16.7) > Ag (14.9) > As (9.0) > Cu (5.63) > Cd (2.65), while in sediment, the concentration follows the order, Fe (18,725) > Mn (551) > Zn (213) > Cu (47.6) > Cr (30.2) > Ni (24.2) > Pb (23.8) > Co (9.61) > As (8.23) > Cd (0.80) > Ag (0.60). All metal concentrations were within standard guideline values except for Cr and Pb for water and Cd, Zn, Cu, Pb, and As for sediment. The outcomes of eco-environmental indices, including contamination and enrichment factors and geoaccumulation index, differed spatially, indicating that most of the sediment sites were moderately to highly polluted by Cd, Zn, and As. Cd and Zn content can trigger ecological risks. The positive matrix factorization (PMF) model recognized three probable sources of sediment, i.e., natural source (49.39%), industrial pollution (19.72%), and agricultural source (30.92%), and three possible sources of water, i.e., geogenic source (45.41%), industrial pollution (22.88%), and industrial point source (31.72%), respectively. SOM analysis identified four spatial patterns, e.g., Fe-Mn-Ag, Cd-Cu, Cr-Pb-As-Ni, and Zn-Co in water and three patterns, e.g., Mn-Co-Ni-Cr, Cd-Cu-Pb-Zn, and As-Fe-Ag in sediment. The spatial distribution of entropy water quality index values shows that the southwestern area possesses "poor" quality water. Overall, the levels of metal(loid) pollution in the investigated river surpassed a critical threshold, which might have serious consequences for the river's aquatic biota and human health in the long run.

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Assessment of heavy metal contamination in sediment at the newly established tannery industrial Estate in Bangladesh: A case study

Cited by 91 publications

References 52 publications

Distribution, Ecological Risk and Source Analysis of Heavy Metals in Farmland Soil around Chating Copper Ore in Xuancheng Region of Southern China

Distribution, Ecological Risk and Source Analysis of Heavy Metals in Farmland Soil around Chating Copper Ore in Xuancheng Region of Southern China

Determination of Heavy Metal Pollution in the Dankran River in the Bekwai Municipality of Ghana

Distribution, sources, and pollution levels of toxic metal(loid)s in an urban river (Ichamati), Bangladesh using SOM and PMF modeling with GIS tool

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