Reconciling the geogenic and non-crustal origins of elements in an Indo-Bangla transboundary river, Atrai: Pollution status, sediment quality, and preliminary risk assessment DOI
Amit Hasan Anik, Rahat Khan, Shabiha Hossain

и другие.

Environmental Research, Год журнала: 2022, Номер 214, С. 114134 - 114134

Опубликована: Авг. 20, 2022

Язык: Английский

Potentially hazardous elements in sediments and Ceratophyllum demersum: an ecotoxicological risk assessment in Miliç Wetland, Samsun, Türkiye DOI
Halim Topaldemir, Beyhan Taş, Bayram Yüksel

и другие.

Environmental Science and Pollution Research, Год журнала: 2022, Номер 30(10), С. 26397 - 26416

Опубликована: Ноя. 11, 2022

Язык: Английский

Процитировано

128

Groundwater geochemistry, quality, and pollution of the largest lake basin in the Middle East: Comparison of PMF and PCA-MLR receptor models and application of the source-oriented HHRA approach DOI
Hamed Haghnazar, Karen H. Johannesson, Ricardo González‐Pinzón

и другие.

Chemosphere, Год журнала: 2021, Номер 288, С. 132489 - 132489

Опубликована: Окт. 7, 2021

Язык: Английский

Процитировано

120

Ecological risks and controlling factors of trace elements in sediments of dam lakes in the Black Sea Region (Turkey) DOI
Memet Varol, Fikret Ustaoğlu, Cem Tokatlı

и другие.

Environmental Research, Год журнала: 2021, Номер 205, С. 112478 - 112478

Опубликована: Дек. 1, 2021

Язык: Английский

Процитировано

110

Spatial–temporal distribution and pollution indices of heavy metals in the Turnasuyu Stream sediment, Turkey DOI
Yalçın Tepe, Arife Şimşek, Fikret Ustaoğlu

и другие.

Environmental Monitoring and Assessment, Год журнала: 2022, Номер 194(11)

Опубликована: Сен. 22, 2022

Язык: Английский

Процитировано

85

Metal pollution assessment in the surface sediments of a river system in Türkiye: Integrating toxicological risk assessment and source identification DOI
Fikret Ustaoğlu, Bayram Yüksel, Yalçın Tepe

и другие.

Marine Pollution Bulletin, Год журнала: 2024, Номер 203, С. 116514 - 116514

Опубликована: Май 23, 2024

Язык: Английский

Процитировано

50

Assessing Metal Toxicity on Crustaceans in Aquatic Ecosystems: A Comprehensive Review DOI
Mahdi Banaee, Amir Zeidi, Nikola Mikušková

и другие.

Biological Trace Element Research, Год журнала: 2024, Номер 202(12), С. 5743 - 5761

Опубликована: Март 12, 2024

Язык: Английский

Процитировано

47

Using unsupervised machine learning models to drive groundwater chemistry and associated health risks in Indo-Bangla Sundarban region DOI

Jannatun Nahar Jannat,

Abu Reza Md. Towfiqul Islam, Md. Yousuf Mia

и другие.

Chemosphere, Год журнала: 2024, Номер 351, С. 141217 - 141217

Опубликована: Янв. 20, 2024

Язык: Английский

Процитировано

22

Assessment of spatial distribution of sediment contamination with heavy metals in the two biggest rivers in Poland DOI
Joanna Jaskuła, Mariusz Sojka

CATENA, Год журнала: 2021, Номер 211, С. 105959 - 105959

Опубликована: Дек. 23, 2021

Язык: Английский

Процитировано

80

A meta-analysis of potential ecological risk evaluation of heavy metals in sediments and soils DOI
Vinod Kumar, Shevita Pandita, Raj Setia

и другие.

Gondwana Research, Год журнала: 2021, Номер 103, С. 487 - 501

Опубликована: Ноя. 20, 2021

Язык: Английский

Процитировано

68

Heavy Metals in River Sediments: Contamination, Toxicity, and Source Identification—A Case Study from Poland DOI Open Access
Mariusz Sojka, Joanna Jaskuła

International Journal of Environmental Research and Public Health, Год журнала: 2022, Номер 19(17), С. 10502 - 10502

Опубликована: Авг. 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

Язык: Английский

Процитировано

55