Next Article in Journal
Modeling the Effect of Soil Type Change on Irrigation Water Requirements of Sunflower and Wheat Using CROPWAT 8.0
Previous Article in Journal
A Robust Oxysalt-Tolerant Bacterium Marinobacter sp. for Simultaneous Nitrification and Denitrification of Hypersaline Wastewater
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Particulate and Dissolved Metals in the Pearl River Estuary, China—Part 2: Partitioning Characteristics and Influencing Factors

by
Hongyan Ma
1,2,
Yunpeng Wang
1,2,*,
Chuqun Chen
3 and
Yuanzhi Zhang
4
1
State Key Laboratory of Deep Earth Processes and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
4
School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
*
Author to whom correspondence should be addressed.
Water 2025, 17(10), 1436; https://doi.org/10.3390/w17101436
Submission received: 6 April 2025 / Revised: 3 May 2025 / Accepted: 7 May 2025 / Published: 9 May 2025
(This article belongs to the Section Water Quality and Contamination)

Abstract

Metals in the Pearl River Estuary are potentially significant pollutants influenced by the region’s high population density and rapid industrial growth, but their distribution and impacts have not yet been thoroughly investigated. This study investigates the spatial distribution and environmental impacts of particulate and dissolved metals (including Cr, Mn, Fe, Co, Ni, Cu, Zn, Mo, Cd, Tl, and Pb) in the Pearl River Estuary using a combination of statistical methods and spatial analysis techniques. This is Part 2 of a series of papers. In Part 1, we mainly focused on the spatial characteristics of particulate and dissolved metals and the water environment factors influencing them. In Part 2, we mainly focus on the partitioning of metals between their particulate and dissolved forms and its influencing factors. The results show that the distribution of metals in the estuary is predominantly in the dissolved phase, except for Mn, which is more associated with particulates. Environmental factors such as temperature, oxygen content, and water depth exert a substantial impact on the metals’ partitioning behavior. In contrast, the pH value, salinity, and concentration of suspended matter have a minor influence. The results of this study highlight the importance of understanding metal partitioning in the estuary for effective water quality management and pollution control, which also provides valuable insights for pollution source tracking in this area.
Keywords: partition coefficient; influencing factors; spatial autocorrelation; heavy metals; Pearl River Estuary; China partition coefficient; influencing factors; spatial autocorrelation; heavy metals; Pearl River Estuary; China

Share and Cite

MDPI and ACS Style

Ma, H.; Wang, Y.; Chen, C.; Zhang, Y. Particulate and Dissolved Metals in the Pearl River Estuary, China—Part 2: Partitioning Characteristics and Influencing Factors. Water 2025, 17, 1436. https://doi.org/10.3390/w17101436

AMA Style

Ma H, Wang Y, Chen C, Zhang Y. Particulate and Dissolved Metals in the Pearl River Estuary, China—Part 2: Partitioning Characteristics and Influencing Factors. Water. 2025; 17(10):1436. https://doi.org/10.3390/w17101436

Chicago/Turabian Style

Ma, Hongyan, Yunpeng Wang, Chuqun Chen, and Yuanzhi Zhang. 2025. "Particulate and Dissolved Metals in the Pearl River Estuary, China—Part 2: Partitioning Characteristics and Influencing Factors" Water 17, no. 10: 1436. https://doi.org/10.3390/w17101436

APA Style

Ma, H., Wang, Y., Chen, C., & Zhang, Y. (2025). Particulate and Dissolved Metals in the Pearl River Estuary, China—Part 2: Partitioning Characteristics and Influencing Factors. Water, 17(10), 1436. https://doi.org/10.3390/w17101436

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop