» Articles » PMID: 30287769

Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient

Overview
Publisher MDPI
Date 2018 Oct 6
PMID 30287769
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Regional soil quality issues arising from rapid urbanization have received extensive attention. The riverbank that runs through a city is representative of urbanization gradient transformation. Thirty soil samples in the Yangtze River Delta urban agglomeration were collected and analyzed for the concentrations of seven analytes. Correlation, principle component analysis, cluster analysis and GeoDetector models suggested that the four groups (Cr-Ni-Cu, Cu-Zn-As-Sb, Cd and Pb) shared the same sources in the core urban region; five groups (Cr-Ni-Cu-Zn, As, Cd, Sb and Pb) in the suburbs and three groups (Cr-Ni, Cu-Zn-Cd-Sb-Pb and As) in the exurbs. GeoDetector methods not only validated the results of the three other methods, but also provided more possible impact factors. Besides the direct influences, the interaction effects among factors were quantified. Interactive combination with strong nonlinear increment changed from between-two-weak factors in the central region to between-strong-and-weak factors in the suburbs. In the exurbs, the stronger interaction effects were observed between strong and weak factors. Therefore, the GeoDetector model, which provided more detailed information of artificial sources could be used as a tool for identifying the potential factors of toxic elements and offering scientific basis for the development of subsequent pollution reduction strategies.

Citing Articles

Spatial-temporal variation and source analysis of heavy metals in different land use types in Beilun District (2015 and 2022).

Zhang P, Hu L, Gao B, Gao F, Zhu X, Li Y Sci Rep. 2024; 14(1):15127.

PMID: 38956253 PMC: 11220152. DOI: 10.1038/s41598-024-65811-w.


Influence of Industrial Wastewater Irrigation on Heavy Metal Content in Coriander ( L.): Ecological and Health Risk Assessment.

Ugulu I, Khan Z, Alrefaei A, Bibi S, Ahmad K, Memona H Plants (Basel). 2023; 12(20).

PMID: 37896115 PMC: 10609805. DOI: 10.3390/plants12203652.


Carpet industry irrigational sources risk assessment: Heavy metal contaminated vegetables and cereal crops in northern India.

Singh P, Yadav J, Kumar I, Kumar U, Sharma R Toxicol Rep. 2022; 9:1906-1919.

PMID: 36518423 PMC: 9743668. DOI: 10.1016/j.toxrep.2022.10.010.


Pollution, Ecological Risk and Source Identification of Heavy Metals in Sediments from the Huafei River in the Eastern Suburbs of Kaifeng, China.

Jin B, Wang J, Lou W, Wang L, Xu J, Pan Y Int J Environ Res Public Health. 2022; 19(18).

PMID: 36141529 PMC: 9517487. DOI: 10.3390/ijerph191811259.


Spatiotemporal characteristics and driving forces of terrorist attacks in Belt and Road regions.

Chen L, Mu F PLoS One. 2021; 16(3):e0248063.

PMID: 33705461 PMC: 7951843. DOI: 10.1371/journal.pone.0248063.


References
1.
Ma L, Yang Z, Li L, Wang L . Source identification and risk assessment of heavy metal contaminations in urban soils of Changsha, a mine-impacted city in Southern China. Environ Sci Pollut Res Int. 2016; 23(17):17058-66. DOI: 10.1007/s11356-016-6890-z. View

2.
Yang D, Wang X, Xu J, Xu C, Lu D, Ye C . Quantifying the influence of natural and socioeconomic factors and their interactive impact on PM pollution in China. Environ Pollut. 2018; 241:475-483. DOI: 10.1016/j.envpol.2018.05.043. View

3.
El Zrelli R, Courjault-Rade P, Rabaoui L, Castet S, Michel S, Bejaoui N . Heavy metal contamination and ecological risk assessment in the surface sediments of the coastal area surrounding the industrial complex of Gabes city, Gulf of Gabes, SE Tunisia. Mar Pollut Bull. 2015; 101(2):922-9. DOI: 10.1016/j.marpolbul.2015.10.047. View

4.
Liu R, Wang M, Chen W, Peng C . Spatial pattern of heavy metals accumulation risk in urban soils of Beijing and its influencing factors. Environ Pollut. 2015; 210:174-81. DOI: 10.1016/j.envpol.2015.11.044. View

5.
Shi T, Hu Z, Shi Z, Guo L, Chen Y, Li Q . Geo-detection of factors controlling spatial patterns of heavy metals in urban topsoil using multi-source data. Sci Total Environ. 2018; 643:451-459. DOI: 10.1016/j.scitotenv.2018.06.224. View