黑料网

ISSN: 2155-9910

Journal of Marine Science: Research & Development
黑料网

Our Group organises 3000+ Global Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ 黑料网 Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

黑料网 Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Citations : 3189

Indexed In
  • CAS Source Index (CASSI)
  • Index Copernicus
  • Google Scholar
  • Sherpa Romeo
  • Open J Gate
  • Genamics JournalSeek
  • Academic Keys
  • ResearchBible
  • Ulrich's Periodicals Directory
  • Electronic Journals Library
  • RefSeek
  • Directory of Research Journal Indexing (DRJI)
  • Hamdard University
  • EBSCO A-Z
  • OCLC- WorldCat
  • Scholarsteer
  • SWB online catalog
  • Virtual Library of Biology (vifabio)
  • Publons
Share This Page

Detecting Lagrangian coherent structure using Braid theory

3rd International Conference on Oceanography

Erick Fredj

Posters-Accepted Abstracts: J Marine Sci Res Dev

DOI:

Abstract
The detection of Lagrangian Coherent Structure (LCS) is an important challenge in fluid dynamics, particularly in oceanography applications. For instance, knowledge of how regions of fluid are isolated from each other allows predictions of where damaging contaminants in the ocean or atmosphere will end up. Traditional trajectory analysis focuses on full trajectory histories that yield convoluted ?spaghetti plots?, that are hard to interpret. Fluid dynamics has given rise to the concept of LCS, which provides a new way of understanding transport in complex fluid flow. Existing method detect LCS, by examining the stretching field as given by finite-time Lyaponov exponents. These methods are very effective under the action of the velocity field, but many applications have a small number of particles of flow trajectories are known, for example when dealing with oceanic float data. We present a topological method for detecting invariant regions based on a small set of trajectories. In the method we regard the two-dimensional trajectory data as a braid in three dimensions, with time being the third coordinate. Invariant regions then correspond to trajectories that travel together and do not entangle other trajectories. We detect these regions by examining the growth of hypothetical loops surrounding sets of trajectories, and searching for loops that show negligible growth.
Biography
Relevant Topics
International Conferences 2024-25
 
Meet Inspiring Speakers and Experts at our 3000+ Global

Conferences by Country

Medical & Clinical Conferences

Conferences By Subject

Top