A new method for assessment of sediment-associated contamination risks using multivariate statistical approach

Benson, Nsikak U.; Adedapo, Adebusayo E.; Fred-Ahmadu, Omowunmi H.; Williams, Akan B.; Udosen, Essien D.; Ayejuyo, Olusegun O.; Olajire, Abass A.

doi:10.1016/j.mex.2018.03.005

Cited by 51 publications

(22 citation statements)

References 26 publications

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“…This new index evaluates sediment contamination by comparing metal contents in the sediments with effect level standards (PEL, SEL, and TEL) (MacDonald et al, 2000). The Modified Hazard Quotient (mHQ ) is considered a significant tool because it exemplifies the extent of risk each metal(oid) poses to the biota and aquatic habitat (Benson et al, 2018). The mHQ ratings are as follows; mHQ > 3.5 (Extreme severity of contamination), 3.0 mHQ < 3.5 (Very high severity of contamination), 2.5 mHQ < 3.0 (High severity of contamination), 2.0 mHQ < 2.5 (Considerable severity of contamination), 1.5 mHQ < 2.0 (Moderate severity of contamination), 1.0 mHQ < 1.5 (Low severity of contamination), 0.5 mHQ < 1.0 (Very low severity of contamination), and mHQ < 0.5 (Nil to very low severity of contamination).…”

Section: Modified Hazard Quotient (Mhq)mentioning

confidence: 99%

“…The mHQ assesses levels of contamination by describing each metal(oid) concentration found in the sediment with the threshold limits of adverse ecological distributions such as the SEL, PEL and TEL. The evaluation of mHQ is of utmost importance since it evaluates the risk of individual metal(oid)s to the biota and the aquatic environment (Benson et al, 2018).…”

Section: Toxic Risk Index (Tri)mentioning

confidence: 99%

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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: Modified Hazard Quotient (Mhq)mentioning

confidence: 99%

Section: Toxic Risk Index (Tri)mentioning

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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“…The accepted recoveries ranged from 75% to 108%. The estimation of the degree of heavy metal contamination was assessed using pollution indexes including hazard quotient (HQ) [1] , [2] , modified hazard quotient ( m HQ) [1] , [3] . The sediment quality guidelines adopted for calculating the HQ and m HQ were the threshold effects level (TEL), probable effect level (PEL), and severity effect level (SEL), [4] , [5] , with classifications as proposed by Feng et al [6] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“…The sediment quality guidelines adopted for calculating the HQ and m HQ were the threshold effects level (TEL), probable effect level (PEL), and severity effect level (SEL), [4] , [5] , with classifications as proposed by Feng et al [6] . The classification of the degree of sediment contamination by trace metals was done as proposed by Benson et al [3] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Trace and major elements distribution in coastal sediment cores from Lagos Lagoon, Nigeria

et al. 2018

Self Cite

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Heavy metals contamination in aquatic ecosystems has been a major concern, however, no information is available about the concentrations, depth distributions and ecological risks of heavy metals in sediments cores from microtidal lagoonal ecosystem in Lagos, Nigeria. Four sediment cores were collected using a 50 cm × 3.5 cm Wildco® hand corer. Elemental determinations were carried out using the Microwave Plasma Atomic Emission Spectrometry (4200 MP-AES) after extraction. The concentrations of heavy metals in the sediment cores indicated enhanced degree of contamination influenced by anthropogenic discharges especially industrial effluents. Vertical depth distributions indicated varied depositional periods largely controlled by increasing anthropogenic land-based activities. The remarkable metal pollution of core sediments raises the concern potential sources of metals to the lagoonal ecosystem and ecological risks to the biota, humans, and the environment. The results of elemental concentrations should be considered as baseline data for heavy metals in sediments in the region.

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“…The ECI is an aggregative empirical approach that estimates the risks associated with an ecosystem using a source specific factor derived primarily from principal component analysis (PCA)/factor analysis (FA). The ECI is calculated in the following [18]:…”

Section: Ecological Contamination Index (Eci)mentioning

confidence: 99%

Significant Decrease in Heavy Metals in Surface Sediment after Ten-Year Sustainable Development in Huaxi Reservoir Located in Guiyang, Southwestern China

Zhou

Liu

et al. 2021

IJERPH

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In the Karst area of southwestern China, the heavy metals in the sediment of a reservoir are determined by both human activities and the high background values. Thus, this study explores the change of heavy metals in surface sediment after ten-year sustainable development in the upstream areas of a reservoir, Huaxi Reservoir, located in Guiyang of southwestern China, then evaluates the risk of these heavy metals to water environment systematically and finally identifies the sources in both 2019 and 2009. The results reveal that all of the measured heavy metals decrease dramatically and their spatial distributions change from the increase-decrease pattern to decrease-increase pattern, implying different locations of main source input. The risk indices based on the total or average content and relative or reference values have decreased to the lowest level. However, those indices calculated from the absolute content of each metalloid still show a low or a moderate risk because of the high background value, such as As and Cr. Moreover, although only one main source of heavy metals is identified in both 2019 and 2009, the risk from human activities still cannot be neglected because agricultural production and infrastructure construction would promote the weathering of soil and then these heavy metals from the soil will be brought into the reservoir with the rainfall-runoff process. The high background value of specific heavy metals, e.g., As and Cr would still exert some challenges to the water environment protections because the non-point source input of heavy metal cannot be controlled easily by promulgating a series of bans. These results provide important reference for creating the policies of water environment protection, especially in some Karst area of southwestern China that exhibits high background value of heavy metals.

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A new method for assessment of sediment-associated contamination risks using multivariate statistical approach

Abstract: Graphical abstract

Cited by 51 publications

References 26 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

Trace and major elements distribution in coastal sediment cores from Lagos Lagoon, Nigeria

Significant Decrease in Heavy Metals in Surface Sediment after Ten-Year Sustainable Development in Huaxi Reservoir Located in Guiyang, Southwestern China

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