| Issue |
E3S Web Conf.
Volume 707, 2026
2026 2nd International Conference on Energy Engineering and Pollution Control (EEPC 2026)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 4 | |
| Section | Energy Engineering and Environmental Pollution Control | |
| DOI | https://doi.org/10.1051/e3sconf/202670701008 | |
| Published online | 27 April 2026 | |
Spatial Distribution and Contamination Assessment of Heavy Metals in Coastal Wetland Sediments
a Tianjin University of Science and Technology, Tianjin, 300457, P.R. China.
b Research Institute for Environmental Innovation (Binhai, Tianjin), Tianjin, 300450, P.R. China.
c Chinese Research Academy of Environmental Sciences, Beijing, 100012, P.R. China.
d Guangdong-Hong Kong-Macao Center for Eco-environmental Sciences, Guangzhou 510555, P.R. China
* Correspondence: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This study assessed heavy metal distribution and ecological risks across 28 surface sediment sites (0–20 cm) in the Tianjin Binhai New Area. Average concentrations met Class I marine standards. Independent t-tests showed no significant differences (p > 0.05) between riverine and coastal wetlands . However, Cd, Hg, and Pb exhibited high variability, linked to intensive shipping and industrial runoff from the Port of Tianjin, Lingang, and Dagang zones . While integrated risk was low, Hg posed localized moderate risk. Seasonal discharge and redox variations may further influence metal dynamics . These findings provide a refined baseline for port-industrial bays.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

