4.7 Article

Legacy organochlorines in estuarine sediment in relation to socioeconomic pattern in multi-coastal watersheds

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 29, Issue 15, Pages 21912-21924

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-17350-4

Keywords

Organochlorine compounds; Estuarine sediment; Risk assessment; Watershed development; Land use; Environmental Kuznets curve (EKC)

Funding

  1. National Natural Science Foundation of China [41661144033, 71961137007, 41571483, 41371474, 41301572]
  2. Industry-University-Institute Project of Xiamen Municipal [3502Z20203078]
  3. Ministry of Science and Technology of the People's Republic of China [2014DFT90140]

Ask authors/readers for more resources

This study found that the concentration of organochlorines in estuarine sediment is influenced by human activities in the watersheds, especially with higher risks of DDTs and PCBs. Furthermore, there is a significant correlation between non-agricultural GDP per capita and sedimentary concentrations of DDT and PCB, providing a tool for researchers to quantify the impact of human development in watersheds on environmental changes.
Estuarine sediment quality is highly associated with anthropogenic activities in watersheds. This study attempts to couple socioeconomic patterns with estuarine sediment quality via legacy organochlorines in 14 Chinese coastal watersheds. Sedimentary concentrations of HCHs, DDTs, and PCBs showed a significant spatiality in estuary, up to 48.7 +/- 15.1, 89.0 +/- 46.4, and 54.5 +/- 17.2 ng g(-1), which were predominated by beta-HCH, p,p '-DTs, and tri- to penta-PCBs, respectively. Ecological risk of organochlorines was negligible except few moderate risks for DDTs and PCBs against the first class quality of the marine sediment quality guidelines of China. Sedimentary DDT and PCB concentrations were significantly delineated by an environmental Kuznets curve model as a function of non-agricultural GDP per capita in watersheds, while HCHs by an increasing linear model. Findings of this study provide a tool to quantify the contribution of anthropogenic development in watershed to environmental change in estuary across the world.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available