Simulation of Tsunami Impact on Water Mass
Variations Based on Pareto Optimization
Volume 2 - Issue 2
Maged Marghany1,2*
-
Author Information
Open or Close
- 1School of Humanities, Geography Section, University Sains Malaysia, Malaysia
- 2Faculty Geospatial and Real Estate, Geomatica University College, Malaysia
*Corresponding author:
Maged Marghany, Faculty Geospatial and Real Estate, Geomatica University College, Kuala Lumpur, Malaysia
Received: September 07, 2018; Published: September 19, 2018
DOI: 10.32474/MAOPS.2018.02.000133
Full Text
PDF
To view the Full Article Peer-reviewed Article PDF
Abstract
There is no query that the tsunami performs remarkable roles to alternate the physical properties of the ocean through mixing
turbulent approaches. This study has proposed and demonstrated a new approach to retrieve the water mass pattern from remote
sensing data. This examination has proposed and shown another way to deal with recovering water mass example from remote
detecting information. The MODIS satellite information is procured pre, during and boxing day 2004. In this way, GA delivered
another equation to recover the water mass by upgrading mistakes because of overcast spreads, and SST and SSS straight calculation
executions. The investigation demonstrates that GA can diminish the blunder of recovering ocean surface thickness with ±2.87kg/
m3. Further, during and post-tsunami 2004, the coastal waters are commanded by most extreme density estimation of 25.8kg/m3
which initially organized along Aceh coastal waters. It can be alleged that GA can be utilized to recover water mass qualities utilizing
MODIS satellite information.
Abstract|
Introduction|
Study Area|
Genetic Algorithm|
Results and Discussion|
Conclusion|
References|