Upwelling impact and lateral transport of dissolved PAHs in the Taiwan Strait and adjacent South China Sea

Ye, Jiandong; Zheng, Haowen; Liu, Mengyang; Tanli, Yina; Qi, Huaiyuan; Jing, Lingkun; Huang, Jiajin; Hossain, Kazi Belayet; Ke, Hongwei; Wang, Chunhui; Wang, Shanlin; Cai, Minggang

doi:10.1016/j.scitotenv.2023.165159

Cited by 5 publications

(1 citation statement)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Polycyclic aromatic hydrocarbons (PAHs) are of great concern because of their ubiquitous presence in environments, and various adverse health effects, including carcinogenic, mutagenic, and teratogenic effects to humans and wildlife. − They give off emissions and can be released from petrogenic and pyrogenic sources, during incomplete combustion of fossil fuels and biomass. − The occurrence and distribution of PAHs in estuarine and coastal areas have been well documented, with the concentration magnitudes ranging from pg L –1 to μg L –1 . − After undergoing long-range atmospheric or oceanic transport, PAHs would reach remote and deep oceans worldwide, which contain a large inventory of organic pollutants and serve as a final sink for PAHs. − …”

Section: Introductionmentioning

confidence: 99%

Ocean Stratification Impacts on Dissolved Polycyclic Aromatic Hydrocarbons (PAHs): From Global Observation to Deep Learning

Liu,

Zheng,

Cai

et al. 2023

Environ. Sci. Technol.

Self Cite

View full text Add to dashboard Cite

Ocean stratification plays a crucial role in many biogeochemical processes of dissolved matter, but our understanding of its impact on widespread organic pollutants, such as polycyclic aromatic hydrocarbons (PAHs), remains limited. By analyzing dissolved PAHs collected from global oceans and marginal seas, we found different patterns in vertical distributions of PAHs in relation to ocean primary productivity and stratification index. Notably, a significant positive logarithmic relationship (R 2 = 0.50, p < 0.05) was observed between the stratification index and the PAH stock. To further investigate the impact of ocean stratification on PAHs, we developed a deep learning neural network model. This model incorporated input variables determining the state of the seawater or the stock of PAHs. The modeled PAH stocks displayed substantial agreement with the observed values (R 2 ≥ 0.92), suggesting that intensified stratification could prompt the accumulation of PAHs in the water column. Given the amplified effect of global warming, it is imperative to give more attention to increased ocean stratification and its impact on the environmental fate of organic pollutants.

show abstract