A risk assessment model (MAcRisk) have been developed to forecast the probability
and the risk of maritime accidents on Bosphorus. Accident archives of
Undersecretariat Maritime Affairs Search and Rescue Department, weather
conditions data of Turkish State Meteorological Service and bathymetry and current
maps of Office of Navigation, Hydrography and Oceanography have been used to
prepare the model input and to forecast the accident probability. Accident data has
been compiled according to stated sub-regions on Bosphorus and event type of
accidents such as collision, grounding, capsizing, fire and other. All data that could
be obtained are used to clarify the relationship on accident reasons. An artificial
neural network model has been developed to forecast the maritime accidents in
Bosphorus.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12614149/index.pdf |
| Date | 01 February 2012 |
| Creators | Kucukosmanoglu, Alp |
| Contributors | Ergin, Aysen |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | Ph.D. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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