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

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

  • Mengyang Liu
  • Haowen Zheng
  • Minggang Cai
  • Yifan Li
  • Zifeng Zhang
  • Meng Chen
  • Hongwei Ke

Detail(s)

Original languageEnglish
Pages (from-to)18339–18349
Journal / PublicationEnvironmental Science and Technology
Volume57
Issue number46
Online published31 Aug 2023
Publication statusPublished - 21 Nov 2023

Abstract

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 (R2 = 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 (R2 ≥ 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. © 2023 American Chemical Society.

Research Area(s)

  • deep learning neural network, global oceans, marine fate, ocean stratification, polycyclic aromatic hydrocarbons (PAHs)

Citation Format(s)

Ocean Stratification Impacts on Dissolved Polycyclic Aromatic Hydrocarbons (PAHs): From Global Observation to Deep Learning. / Liu, Mengyang; Zheng, Haowen; Cai, Minggang et al.
In: Environmental Science and Technology, Vol. 57, No. 46, 21.11.2023, p. 18339–18349.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review