Factors controlling the accumulation and ecological risk of trace metal(loid)s in river sediments in agricultural field

Mao, Lingchen; Liu, Libo; Yan, Nanxia; Li, Feipeng; Hong, Tao; Ye, Hua; Wen, Haifeng

doi:10.1016/j.chemosphere.2019.125359

Cited by 52 publications

(16 citation statements)

References 68 publications

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“…Sediments are now being considered as a derivative source and sink for metal(oid) pollutants, and over time, serves as a biomarker for investigating the impact of anthropogenic pollution up to the present day (De Vivo et al, 2017;Mao et al, 2020). Thus, analysing river sediment for hazardous metal(oid) pollutants evaluates the burden posed by anthropogenic or human activities on an aquatic environment.…”

Section: Introductionmentioning

confidence: 99%

An integrated assessment of land-use change impact, seasonal variation of pollution indices and human health risk of selected toxic elements in sediments of River Atuwara, Nigeria

Emenike

Tenebe

Neris

et al. 2020

Environmental Pollution

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River sediments contain environmental fingerprints that provide useful ecological information. However, the geochemistry of River Atuwara sediments has received less attention over the years. One hundred and twenty-six sediments from 21 locations were collected over a two-season period from River Atuwara, and a detailed investigation of the land use and land cover (LULC) change between 1990 and 2019, analysis of selected toxic and potentially toxic metal(oid)s (TPTM) (Cu, As, Cd, Pb, Ni, Cr, Zn, Fe, Co and Al) using ICP-OES, pollution index assessment, potential source identification (using center logtransformation approach), potential ecological, and human health risk assessment were conducted. The results of the LULC change revealed that the built-up area increased by 95.58 km 2 , at an average rate of 3.186 km 2 /year over the past 30 years. The mean concentration of metal(oid)s increased in the order of Cd < As < Cr < Pb < Co < Ni < Cu < Zn < Fe < Al, and Cd < As < Cr < Co < Pb < Ni < Cu < Zn < Fe < Al during the dry and wet seasons, respectively. Meanwhile, the statistical analysis of the data spectrum inferred possible contamination from lithological and anthropogenic sources. According to the pollution load index, 90.48% of the sediment samples are polluted by the metal(oid)s. Potential ecological risk assessment identified Ni, As, and Cd as problematic to the ecological community of River Atuwara. Regarding the metal-specific hazard quotient via ingestion route, the risks are in order of Co [ As [ Pb > Cr > Cd > Al > Ni > Cu > Zn > Fe for both seasons and the carcinogenic risk for children via ingestion route presented a value higher than the safe limits for As, Cd, Cr, and Ni during both seasons. This outcome highlights the need for prompt action towards the restoration of environmental quality for communities surrounding River Atuwara.

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Section: Introductionmentioning

confidence: 99%

An integrated assessment of land-use change impact, seasonal variation of pollution indices and human health risk of selected toxic elements in sediments of River Atuwara, Nigeria

Emenike

Tenebe

Neris

et al. 2020

Environmental Pollution

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“…2). Also, the signal-to-noise ratios (S/N) of the investigated metal(loid)s were higher than 1, indicating the data qualities are strong (Mao et al 2020;Wu et al 2020).…”

Section: Positive Matrix Factorization Modelmentioning

confidence: 96%

Eutrophication and sediment–water exchange of total petroleum hydrocarbons and heavy metals of Hashilan wetland, a national heritage in NW Iran

Abbasi

Fakhradini

Jaafarzadeh

et al. 2021

Environ Sci Pollut Res

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The heavy metal(loid)s concentrations in water and sediments were analyzed in the Hashilan wetland to assess the spatial distribution, pollution status, fate, partitioning, and ecological risk and also to identify the heavy metal(loid)s sources in sediments using PMF (Positive Matrix Factorization) and APCs-MLR (absolute principal component score-multiple linear regression) receptor models. According to the pollution indices, (Ni, Cu, Cr, Mo), and (Zn, Cr, and Cu) are considered the most important pollutants in sediments and water, respectively. Ni, Cr, and Cu are the main contributors to ecological risks in sediments of some stations. The potential ecological risk assessment proposed low ecological risk in water of the study area. Higher distribution coefficient (Kp) values of Ni, Cr, Mn, Cu, Co, Pb, As, and Zn indicated the majority of these heavy metals present in the sediments; whereas, the majority of Cd concentration occurs in water. PMF and APCs-MLR results indicated the natural sources were the main factors affecting the concentrations of Ni, Cr, Zn, Al, Co, Fe, Pb, As, Cd and somewhat Cu. Mixed natural and agricultural activities are the main sources of Mo, and somewhat Cu. According to the results, there is low pollution of TPH (total petroleum hydrocarbons) in the sediment samples. Also, phosphate (PO42−) and nitrate (NO3−) concentrations were below the recommended permissible limits at all sampling sites except the S8 station for NO3−.

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“…The analysis of PTEs in different land types showed that PTEs with higher risks, such as Cd, As, Ab, and Hg, present higher contents in dry arable land and paddy fields than in forest land, indicating that agricultural activities have possibly resulted in the accumulation of PTEs in arable land. Furthermore, it was found that this accumulation is continuous [61]. Obviously, the accumulation of PTEs caused by agricultural activities on slope arable land, under the influence of rotations in land use and crop types, would accompany the soil loss and then pose risks to the in river-reservoir system downstream.…”

Section: Risk Of Pte Loss From Soil Within a Watershedmentioning

confidence: 99%

Potential Loss of Toxic Elements from Slope Arable Soil Erosion into Watershed in Southwest China: Effect of Spatial Distribution and Land-Uses

Gao

Mao

et al. 2021

Minerals

Self Cite

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The watershed-scale distribution and loss of potentially toxic elements (PTEs) through soil erosion from slope lands to a watershed has not yet been systematically studied, especially in small mountain watersheds with high geological background PTEs in Southwest China. In this study, the spatial distribution, loss intensities and ecological risks of 12 PTEs were investigated in 101 soil samples from four types of land use in a typical watershed, Guizhou Province. Moreover, in order to avoid over- or underestimation of the contamination level in such specific geologies with significant variability in natural PTE distribution, the local background values (local BVs) were calculated by statistical methods. The dry arable land had the highest loss intensity of PTEs and was the largest contributor of PTEs (more than 80%) in the watershed, even though it covers a much smaller area compared to the forest land. The loss of Cd, As, Sb, and Hg from slope arable lands into the watershed leads to a relatively high potential ecological risk. The study suggested that both PTEs content with different types of land-uses and intensities of soil loss are of great importance for PTEs’ risk assessment in the small watershed within a high geological background region. Furthermore, in order to reduce the loss of PTEs in soil, the management of agricultural activities in arable land, especially the slope arable land, is necessary.

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Factors controlling the accumulation and ecological risk of trace metal(loid)s in river sediments in agricultural field

Cited by 52 publications

References 68 publications

An integrated assessment of land-use change impact, seasonal variation of pollution indices and human health risk of selected toxic elements in sediments of River Atuwara, Nigeria

An integrated assessment of land-use change impact, seasonal variation of pollution indices and human health risk of selected toxic elements in sediments of River Atuwara, Nigeria

Eutrophication and sediment–water exchange of total petroleum hydrocarbons and heavy metals of Hashilan wetland, a national heritage in NW Iran

Potential Loss of Toxic Elements from Slope Arable Soil Erosion into Watershed in Southwest China: Effect of Spatial Distribution and Land-Uses

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