ABSTRACT
In steady ows, the notion of boundaries separating dynamically distinct regions is
not ambiguous. This is because the invariant manifolds of time-independent ows and
the critical points of time-periodic ows provide adequate information to determine
the behaviour of the solutions of these systems. However, for time dependent systems,
it is strenuous to determine the nature of their solutions due to their dependence on
time. Nevertheless, it was observed that just like steady ows, most time-dependent
systems have boundaries that prevent cross-mixing of dynamically distinct regions.
They are known as Lagrangian Coherent Structures(LCSs) and they are embedded
in time-dependent ows as robust structures that determine the ow pattern of uid
particles.
This project investigates LCSs and also employs a numerical method to compute the
Finite Time Lyapunov Exponent to detect these structures. Initially, the coherent
structures are dened as hyperbolic material lines that separate dynamically distinct
regions in an unsteady ow. Then, the LCSs are classied into attracting and repelling
structures based on their inuence on the time-dependent ow. Subsequently,
the LCSs are also dened as a second derivative ridges of the FTLE elds. This de-
nition is perceptible from the numerical computations of the double-gyre model where
the coherent structures are extracted as ridges of the computed FTLE elds. Furthermore,
we employ the Finite time Lyapunov Exponent model to carry out numerical
simulations on satellite observed surface velocities along the coast of Ghana. The aim
of this realistic application is to determine the Lagrangian Coherent Structures that
are formed in geophysical ows. Finally, based on these results, we hypothesize the
implications of a crude oil spill along the coast of Ghana. It was realized that in the
event of a spill, the oil is likely to be conned to the coast temporarily due to the
concentration of repelling LCSs. Also, for a longer time interval the oil spill is likely
to be advected from the coastline.
Makafui, A (2021). Tracking pollutants using Lagrangian Coherent Structures.. Afribary. Retrieved from https://track.afribary.com/works/tracking-pollutants-using-lagrangian-coherent-structures
Makafui, Amengor "Tracking pollutants using Lagrangian Coherent Structures." Afribary. Afribary, 31 Mar. 2021, https://track.afribary.com/works/tracking-pollutants-using-lagrangian-coherent-structures. Accessed 19 Nov. 2024.
Makafui, Amengor . "Tracking pollutants using Lagrangian Coherent Structures.". Afribary, Afribary, 31 Mar. 2021. Web. 19 Nov. 2024. < https://track.afribary.com/works/tracking-pollutants-using-lagrangian-coherent-structures >.
Makafui, Amengor . "Tracking pollutants using Lagrangian Coherent Structures." Afribary (2021). Accessed November 19, 2024. https://track.afribary.com/works/tracking-pollutants-using-lagrangian-coherent-structures