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Modelling fuel oil transformation on geographically different seacoasts and assessing their self-cleansing capacity

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Abstract

The present paper considers the results of long-term (up to 17 years) in situ and laboratory research carried out on oiled French, Spanish, and Russian seacoasts. The objective of this research is to quantify the influence of geographical factors on the rates of natural transformation of the heavy fuel oil stranded ashore and to develop an empirical statistical model in order to evaluate the self-cleansing capacity of the coastal environment. In a number of field campaigns, 363 samples of weathered oil slicks and tar balls have been collected and analysed with the use of thin-layer chromatography combined with optical and gravimetric methods. The results obtained have been subjected to multiple nonlinear regression analyses. It has been shown that heavy fuel oil natural attenuation is more active in continental or estuarine environments influenced by nutrient-rich freshwater runoff and characterised by a higher number of sunny days, solar irradiation, and large temperature fluctuations. On the oceanic coasts, especially in sectors with low hydrodynamic energy, these processes take more time. The resulting model allows for the identification and mapping of the most vulnerable seacoasts, characterised by a low potential to degrade oil pollution. This information may be used in the contingency plans in order to optimise clean-up techniques and associated costs.

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Data availability

The dataset used in this research is available from the corresponding author on request.

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Funding

The study was supported by the international bilateral grants of the National Centre for Scientific Research of France (PICS-3451, LIA no. 1033) and the Russian Foundation for Basic Research (no. 06–05-22001, 13–05-93105).

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Authors and Affiliations

  1. Southern Federal University, 105/42, Bolshaya Sadovaya, 344006, Rostov-on-Don, Russia

    Andrey N. Kuznetsov

  2. Nantes Université, CNRS, UMR LETG, Chemin de la Censive du Tertre, BP 81227, 44000, Nantes, France

    Paul Fattal

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Both authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Andrey N. Kuznetsov. He also has written the first draft of the manuscript, and both authors commented on previous versions of the manuscript. The authors read and approved the final manuscript.

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Synopsis

The content of nutrients, temperature, salinity, solar irradiation, and surf action are the key predictors of the rates of natural attenuation of the spilt fuel oil on the seacoasts and their self-cleansing capacity.

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Kuznetsov, A.N., Fattal, P. Modelling fuel oil transformation on geographically different seacoasts and assessing their self-cleansing capacity. Environ Sci Pollut Res 31, 28178–28197 (2024). https://doi.org/10.1007/s11356-024-32902-0

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