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Air-sea exchange of PAHs in the Taiwan Strait: Seasonal dynamics and regulation mechanisms revealed by machine learning approach

  • Jiandong Ye
  • , Mengyang Liu
  • , Lingxin Chen
  • , Lingkun Jing
  • , Huaiyuan Qi
  • , Bizhi Wu
  • , Weimin Wang
  • , Haowen Zheng
  • , Zi Feng Zhang
  • , Jiajin Huang
  • , Jingwen Shi
  • , Xuke Chen
  • , Wupeng Xiao
  • , Shanlin Wang
  • , Yi Fan Li
  • , Minggang Cai*
  • *Corresponding author for this work
  • Xiamen University
  • City University of Hong Kong
  • Tianjin University
  • School of Environment, Harbin Institute of Technology
  • China University of Geosciences, Wuhan

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, to understand the seasonal dynamics of air-sea exchange and its regulation mechanisms, we investigated polycyclic aromatic hydrocarbons (PAHs) at the air-sea interface in the western Taiwan Strait in combination with measurements and machine learning (ML) predictions. For 3-ring PAHs and most of 4- to 6-ring, volatilization and deposition fluxes were observed, respectively. Seasonal variations in air-sea exchange flux suggest the influence of monsoon transitions. Results of interpretable ML approach (XGBoost) indicated that volatilization of 3-ring PAHs was significantly controlled by dissolved PAH concentrations (contributed 24.0 %), and the gaseous deposition of 4- to 6-ring PAHs was related to more contaminated air masses originating from North China during the northeast monsoon. Henry's law constant emerged as a secondary factor, influencing the intensity of air-sea exchange, particularly for low molecular weight PAHs. Among environmental parameters, notably high wind speed emerges as the primary factor and biological pump's depletion of PAHs in surface seawater amplifies the gaseous deposition process. The distinct dynamics of exchanges at the air-water interface for PAHs in the western TWS can be attributed to variations in primary emission intensities, biological activity, and the inconsistent pathways of long-range atmospheric transport, particularly within the context of the monsoon transition.

Original languageEnglish
Article number134792
JournalJournal of Hazardous Materials
Volume474
DOIs
StatePublished - 5 Aug 2024
Externally publishedYes

Keywords

  • Air-sea exchange flux
  • Machine learning approach
  • Monsoon transition
  • Polycyclic aromatic hydrocarbons (PAHs)

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