Modelling pollutants transport scenarios based on the X-Press Pearl disaster
The MV X-Press Pearl accident near Sri Lanka in May 2021 released several pollutants into the ocean, including 1843.3 t of urea, raising concerns about the impact on the region. This study uses a coupled ocean (NEMO)-biogeochemistry (ERSEM) model to simulate urea dispersion under various scenarios. While it doesn't directly reflect the real accident, it provides insights into the potential impact of similar chemical spills. By adjusting tracer release rates and timing, we assessed their impact on the distribution of the chemical plume. Findings show slower release rates prolong higher urea concentrations, potentially causing phytoplankton blooms, while monsoon conditions significantly affect dispersal patterns. Due to a lack of publicly available urea observations, we used particle tracking experiments validated with data on plastic nurdle beaching. This research shows how a simpler, affordable scenario approach could inform the management of chemical spills without a fully developed operational oceanographic system.
Authors
- Molly K James (ORCID: https://orcid.org/0000-0002-3097-0812)
- Julia Rulent (ORCID: https://orcid.org/0000-0002-2357-4838)
- Jason Holt
- R.M.R.M. Jayathilaka (ORCID: https://orcid.org/0000-0002-1105-8764)
- Yuri Artioli (ORCID: https://orcid.org/0000-0002-5498-4223)
- K. Arulananthan
- Anna Katavouta (ORCID: https://orcid.org/0000-0002-1587-4996)
- Jennifer Jardine
- Sarah Wakelin (ORCID: https://orcid.org/0000-0002-2081-2693)
- Mark A. Sutton
- Ponnambalam Rameshwaran
Institutions
- British Oceanographic Data Centre (GB)
- National Oceanography Centre (GB)
- Plymouth Marine Laboratory (GB)
- UK Centre for Ecology & Hydrology (GB)
- National Aquatic Resources Research and Development Agency (LK)
Publication Details
- Journal
- Marine Pollution Bulletin
- Published
- 2024-10-20
- DOI
- https://doi.org/10.1016/j.marpolbul.2024.117129
- Citations
- 4
- Primary Topic
- Oil Spill Detection and Mitigation
- Type
- article
- Field-Weighted Citation Impact
- 0.53
Funders
- Sight Research UK
- Natural Environment Research Council