Distribution, source apportionment, and assessment of heavy metal pollution in the Yellow River Basin, Northwestern China DOI
Cheng Ma, Menglu Wang, Qian Li

et al.

Frontiers of Environmental Science & Engineering, Journal Year: 2024, Volume and Issue: 19(2)

Published: Dec. 12, 2024

Language: Английский

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

et al.

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

Published: May 23, 2024

Language: Английский

Citations

43
Trace metals and pesticides in water-sediment and associated pollution load indicators of Netravathi-Gurupur estuary, India: Implications on coastal pollution DOI
Ajoy Saha, Basanta Kumar Das, Dhruba Jyoti Sarkar

et al.

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 199, P. 115950 - 115950

Published: Jan. 5, 2024

Language: Английский

Citations

13
Trace element of small lake sediments sensitively recorded environmental changes in the watershed: Implications for mining history and urbanization DOI Creative Commons
Hongnian Wang, Qixin Wu, Shilin Gao

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 158, P. 111422 - 111422

Published: Dec. 20, 2023

Lake sediments serve as a sink for trace elements and provide record of watershed changes resulting from anthropogenic activities natural processes. In this study, eight in the Aha, an urban lake Guiyang City, Southwest China, were investigated to reveal effects historical coal mining rapid urbanization watershed. Results showed that median contents measured order Zn (220.00 mg/kg) > Ni (98.16 Cr (70.26 Cu (66.20 As (58.14 Co (41.66 Pb (28.33 Cd (1.39 mg/kg). Except Pb, concentrations Cd, As, Zn, Ni, Co, 4.64, 2.33, 2.00, 1.92, 1.81, 1.09 times higher than regional background values respectively. Trace element center significantly rest sediment cores, relatively stable hydrodynamic processes region. Vertical variation indicated fluctuations intensity tributaries effectively tracked by variations levels middle layer Youyu River Baiyan estuaries. The elevated surface Jinzhong estuary reflected basin over past 20 years. PMF analysis demonstrated mixture activities, Cu, originated mining. This study provides important information comprehending small-scale lakes environmental changes.

Language: Английский

Citations

13
Quantitative effects of anthropogenic and natural factors on the spatial distribution of heavy metals and bacterial communities in sediments of the Pearl River Delta DOI Creative Commons
Yijia Li, Junwei Ma, Xinyi Shen

et al.

Environmental Technology & Innovation, Journal Year: 2024, Volume and Issue: 35, P. 103648 - 103648

Published: April 27, 2024

Heavy metal (HM) contamination of aquatic ecosystems has increasingly posed threats to ecological balance and health. Analysis sediments determine water pollution sources is widely reported, while quantitative research about the effects environmental factors on distribution HMs relevant microbial communities limited. Here, we investigated 6 kinds HM characteristics (As, Cd, Cr, Cu, Pb, Zn) Pearl River Delta (PRD) by collecting surface sediment samples around main stream estuary explored influencing with a geographical detector method (GDM). The shifts in corresponding community was further analyzed, influence mechanism clearly elucidated using partial least squares path modeling (PLS-PM). Results showed that (i) most contents greatly exceeded local background values, wherein, Cd had highest level; (ii) temperature considered dominant natural factor distribution, except for an degree 0.68–0.97; (iii) industrial activity significant anthropogenic electroplating industry source Cu Zn; (iv) network analysis revealed As, Cr were enriched some HM-tolerant bacteria (mainly Chloroflexi, Acidobacteriota Proteobacteria), heavy induced reduction sensitive bacterial taxa; (v) PLS-PM demonstrated human activities largely affect causing pollution. This study could provide guidance better management control practices, such as specific governance layout optimization.

Language: Английский

Citations

4
Bioaccumulation and human health risk assessment of potentially toxic elements in commercially important fish species from the peninsular River Mahanadi, India DOI
Vikas Kumar,

Srikanta Samanta,

Subir Kumar Nag

et al.

Limnology, Journal Year: 2025, Volume and Issue: unknown

Published: April 20, 2025

Language: Английский

Citations

0
Spatial variability and source analysis of soil heavy metals: A case study of the key planting area of special agricultural products in Cangxi County, China DOI Creative Commons
Ziwei Feng,

Wende Chen,

Yichen Meng

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(5), P. e0303387 - e0303387

Published: May 10, 2024

Heavy metal pollution in farmland soil represents a considerable risk to ecosystems and human health, constituting global concern. Focusing on key area for the cultivation of special agricultural products Cangxi County, we collected 228 surface samples. We analyzed concentration, spatial distribution, levels six heavy metals (Cr, Cu, Pb, Ni, Zn, Hg) soil. Moreover, investigated sources contribution rates these using Principal Component Analysis/Absolute Scores (PCA/APCS) Positive Matrix Factorization (PMF) models. Our findings indicate that none exceeded thresholds soils. However, mean concentrations Cr Ni surpassed background Sichuan Province. A moderate correlation existed between Pb attributable both natural anthropogenic factors, whereas Hg, displayed strong correlation, mainly due factors. The patterns Cr, were similar, with higher northern eastern regions lower centrally. Hg’s distribution differed, exhibiting broader range values. single index evaluation showed low pollution, other elements no pollution. average value comprehensive is 0.994, degree close light Predominantly, regions, around reservoirs. PCA/APCS model identified two main sources: traffic mixed source (65.2%) parent (17.2%). PMF delineated three activities (32.59%), transportation (30.64%), (36.77%). Comparatively, proved more accurate reliable, yielding aligned study area’s actual conditions.

Language: Английский

Citations

3
Potential risk of heavy metals release in sediments and soils of the Yellow River Basin (Henan section): A perspective on bioavailability and bioaccessibility DOI Creative Commons
Peng Wang,

Furong Yu,

Haonan Lv

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: unknown, P. 117799 - 117799

Published: Jan. 1, 2025

Language: Английский

Citations

0
Water quality assessment of river Ganga, India using water quality index and multivariate statistical techniques DOI
Sandeep Mishra, Vikas Kumar, Jeetendra Kumar

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(3)

Published: Feb. 4, 2025

Language: Английский

Citations

0
Water Quality Assessment, Possible Pollution Source Identification from Anthropogenically Stressed River Yamuna, India using Hydrochemical, Water Quality Indices and Multivariate Statistics Analysis DOI
Vikas Kumar, Absar Alam, Jeetendra Kumar

et al.

Water Air & Soil Pollution, Journal Year: 2024, Volume and Issue: 235(12)

Published: Nov. 20, 2024

Language: Английский

Citations

2
Evaluation and monitoring of the water quality of an Argentinian urban river applying multivariate statistics DOI
Jesica Alejandra Tello, Jorge Leporati,

Patricia Laura Colombetti

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(20), P. 30009 - 30025

Published: April 10, 2024

Language: Английский

Citations

1