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Extraction of persistent lagrangian coherent structures for the pollutant transport prediction in the Bay of Bengal.
Trinadha Rao, V; Suneel, V; Gulakaram, Venkata Sai; Sravani, Chilukuri Lakshmi.
Afiliación
  • Trinadha Rao V; CSIR-National Institute of Oceanography, Dona Paula, 403004, Goa, India.
  • Suneel V; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
  • Gulakaram VS; Ministry of Earth Sciences, ESSO-Indian National Centre for Ocean Information Services (INCOIS), Hyderabad, 500090, India.
  • Sravani CL; CSIR-National Institute of Oceanography, Dona Paula, 403004, Goa, India. suneel@nio.org.
Sci Rep ; 14(1): 8761, 2024 Apr 16.
Article en En | MEDLINE | ID: mdl-38627496
ABSTRACT
Lagrangian Coherent Structures (LCS) are the hidden fluid flow skeletons that provide meaningful information about the Lagrangian circulation. In this study, we computed the monthly climatological LCSs (cLCS) maps utilizing 24 years (1994-2017) of HYbrid Coordinate Ocean Model (HYCOM) currents and ECMWF re-analysis winds in the Bay of Bengal (BoB). The seasonal reversal of winds and associated reversal of currents makes the BoB dynamic. Therefore, we primarily aim to reveal the cLCSs associated with seasonal monsoon currents and mesoscale (eddies) processes over BoB. The simulated cLCS were augmented with the complex empirical orthogonal functions to confirm the dominant lagrangian transport pattern features better. The constructed cLCS patterns show a seasonal accumulation zone and the transport pattern of freshwater plumes along the coastal region of the BoB. We further validated with the satellite imagery of real-time oil spill dispersion and modelled oil spill trajectories that match well with the LCS patterns. In addition, the application of cLCSs to study the transport of hypothetical oil spills occurring at one of the active oil exploration sites (Krishna-Godavari basin) was described. Thus, demonstrated the accumulation zones in the BoB and confirmed that the persistent monthly cLCS maps are reasonably performing well for the trajectory prediction of pollutants such as oil spills. These maps will help to initiate mitigation measures in case of any occurrence of oil spills in the future.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido