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.

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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

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article

Modelling pollutants transport scenarios based on the X-Press Pearl disaster

Molly K James, Julia Rulent, Jason Holt, R.M.R.M. Jayathilaka et al.
4 citations
Marine Pollution Bulletin
Oil Spill Detection and Mitigation
0.53
article

Modelling pollutants transport scenarios based on the X-Press Pearl disaster

Molly K James, Julia Rulent, Jason Holt, R.M.R.M. Jayathilaka, Yuri Artioli, K. Arulananthan, Anna Katavouta, Jennifer Jardine, Sarah Wakelin, Mark A. Sutton, Ponnambalam Rameshwaran
article en
4 citations

Abstract

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.

Marine Pollution BulletinVol. 209(Pt A)
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)
Sight Research UK, Natural Environment Research Council
Climate action
Openalex Percentile: Top 42%
Oil Spill Detection and Mitigation
0.53
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