چكيده به لاتين
Abstract:
Persian Gulf is regarded as a region with specific environment and a main passage
for oil transfer, therefore it is crucial to examine oil pollution as well as solutions
so as to prevent such contaminants and protect regional environment. In this
research by using case study method, Kuwait war oil pollution considered one of
the most enormous oil calamity in history is taken as current sample. Afterward,
oil spill in Persian Gulf is measured by Mike 21 and flow model. In doing so, first
Gulf flows are modeled and then oil movement formed due to the accident are
predicted by using integrated oil spill model. In order to test model accuracy,
Landsat 4 images have been employed right after application of geometrical and
atmospheric corrections and recognition of oil particle. Then, model results have
been compared with image ones and model parameters which are recorded by
comparisons and field information are calibrated at accident time. For more
accurate measurement of model and images after assimilation of their cells, oil
spill inaccuracy is measured and ultimately oil predictor model with minimum
inaccuracy is selected as the best model having calibrated parameters of the
region. By applying mentioned methods, it is possible to model and anticipate
any oil spill in Persian Gulf and in case of another accident, oil movement can be
measured by proper assimilation so as to clean up oil contaminant immediately
by employing appropriate methods and prevent subsequent destructive events.
Keywords: Oil Spill, Mike 21, Persian Gulf, Remote Sensing, Envi
