Coastal Tsunami Hazard Mapping

Date

2016-07-27

Author

Yavuz, Cüneyt
Kentel Erdoğan, Elçin

Metadata

Show full item record

Item Usage Stats

150
views

0
downloads

URI

https://hdl.handle.net/11511/76583

Collections

Unverified, Conference / Seminar

Suggestions

OpenMETU
Core

Coastal zone management in Turkey Ozhan, E (1996-01-01) This paper introduces the institutions, rules and regulations which have been established by the relevant Turkish laws for addressing various coastal and sea management issues. The Turkish Constitution and 12 laws having relevance to coastal and sea management are reviewed, and wherever appropriate, deficiencies and shortcomings are pointed out. The existing legislation shows clearly the sectoral character of the present system, suffering from overlapping responsibilities, and from insufficient communicatio...
Tsunami source inversion using genetic algorithm Şen, Caner; Kanoğlu, Utku; Department of Engineering Sciences (2011) Tsunami forecasting methodology developed by the United States National Oceanic and Atmospheric Administration’s Center for Tsunami Research is based on the concept of a pre-computed tsunami database which includes tsunami model results from Mw 7.5 earthquakes called tsunami source functions. Tsunami source functions are placed along the subduction zones of the oceans of the world in several rows. Linearity of tsunami propagation in an open ocean allows scaling and/or combination of the pre-computed tsunami...
Marine Litter Watch (MLW) European Beach Litter Assessment 2013–2019 Kıdeyş, Ahmet Erkan; Aydın, Mustafa (European Topic Centre on Inland, Coastal and Marine waters (ETC/ICM),, 2020-01-01)
Marine litter prediction by artificial intelligence Balas, CE; Ergin, Ayşen; Williams, AT; Koc, L (Elsevier BV, 2004-03-01) Artificial intelligence techniques of neural network and fuzzy systems were applied as alternative methods to determine beach litter grading, based on litter surveys of the Antalya coastline (the Turkish Riviera). Litter measurements were categorized and assessed by artificial intelligence techniques, which lead to a new litter categorization system. The constructed neural network satisfactorily predicted the grading of the Antalya beaches and litter categories based on the number of litter items in the gen...
Tsunami hazard analysis for Gulluk Bay Turkey Acar, Sena; Aytore, Betul; Kanoğlu, Utku; Yalçıner, Ahmet Cevdet (null; 2015-06-22)

Citation Formats

C. Yavuz and E. Kentel Erdoğan, “Coastal Tsunami Hazard Mapping,” 2016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/76583.