Potentially hazardous elements in sediments and Ceratophyllum demersum: an ecotoxicological risk assessment in Miliç Wetland, Samsun, Türkiye

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 30(10), P. 26397 - 26416

Published: Nov. 11, 2022

Language: Английский

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Spatial–temporal distribution and pollution indices of heavy metals in the Turnasuyu Stream sediment, Turkey

Environmental Monitoring and Assessment, Journal Year: 2022, Volume and Issue: 194(11)

Published: Sept. 22, 2022

Language: Английский

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Appraisal of metallic accumulation in the surface sediment of a fish breeding dam in Türkiye: A stochastical approach to ecotoxicological risk assessment

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 203, P. 116488 - 116488

Published: May 16, 2024

Language: Английский

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Metal pollution assessment in the surface sediments of a river system in Türkiye: Integrating toxicological risk assessment and source identification

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 203, P. 116514 - 116514

Published: May 23, 2024

Language: Английский

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Evaluation of metal accumulation in Terme River sediments using ecological indices and a bioindicator species

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 29(31), P. 47399 - 47415

Published: Feb. 18, 2022

Language: Английский

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Heavy Metals in River Sediments: Contamination, Toxicity, and Source Identification—A Case Study from Poland

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(17), P. 10502 - 10502

Published: Aug. 23, 2022

This study investigated the spatial distribution, contamination, potential ecological risks and quantities of pollutant sources six heavy metals (HMs) in sediments 47 rivers. The catchments rivers are situated Poland, but some them located Slovakia, Czech Republic, Germany. Cluster analysis was applied to analyze distribution Cd, Cr, Cu, Ni, Pb, Zn river sediments. Moran I Getis-Ord Gi* statistics were calculated reveal pattern hotspot values. Principal component (PCA) positive matrix factorization (PMF) used identify pollution sources. Furthermore, geochemical indices sediment quality guidelines allowed us assess contamination toxic effects on aquatic biota. results showed that 1/3rd rivers, HM concentrations indicate contamination. EF, PLI, MPI at a rather low level 2/3rd analyzed Only individual may HMs have Spatial autocorrelation using statistic revealed random dispersed PCA identified two HMs’ delivery environment. originate from point non-point sources, while Cd dominant natural origin. PMF three pollution. Among them, urban responsible for Cu delivery, agricultural Zn, industrial Ni Cr. Moreover, no relationship between catchment land-use patterns content

Language: Английский

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Ecological and probabilistic human health hazard assessment of heavy metals in Sera Lake Nature Park sediments (Trabzon, Turkey)

Arabian Journal of Geosciences, Journal Year: 2022, Volume and Issue: 15(7)

Published: March 23, 2022

Language: Английский

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Receptor model-oriented sources and risks evaluation of metals in sediments of an industrial affected riverine system in Bangladesh

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 838, P. 156029 - 156029

Published: May 17, 2022

Language: Английский

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Pollution characteristics, sources and health risks assessment of potentially hazardous elements in sediments of ten ponds in the Saros Bay region (Türkiye)

Chemosphere, Journal Year: 2023, Volume and Issue: 340, P. 139977 - 139977

Published: Aug. 28, 2023

Language: Английский

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Investigating heavy metal pollution in Anzali coastal wetland sediments: A statistical approach to source identification

Marine Pollution Bulletin, Journal Year: 2023, Volume and Issue: 194, P. 115376 - 115376

Published: Aug. 5, 2023

Language: Английский

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