{"created":"2021-01-05T15:44:56.018442+00:00","id":7235,"links":{},"metadata":{"_buckets":{"deposit":"1ca26eaa-4fb4-4e63-b680-e016e415d169"},"_deposit":{"created_by":175,"id":"7235","owner":"175","owners":[175],"owners_ext":{"displayname":"","email":"phyusinthetpst.mmu@gmail.com","username":""},"pid":{"revision_id":0,"type":"depid","value":"7235"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/00007235","sets":["1608151108672:1608152118915"]},"communities":["mmu"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Application of Numerical Wave Models for Prediction of Wave Characteristics at Deep Sea Ports of Myanmar","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"An important component of most coastal and ocean\nengineering projects is an accurate assessment of wave climate at the\nproject site. Wave penetration inside harbors has been one the main\nissues that port planners and engineers have to deal with in recent\nyears. Realistic wind wave condition in a coastal area, and in and\naround harbor can be obtained by predicting the wind wave\nconditions in a large area where the waves are generated. In this\nresearch, the numerical wave simulations were carried at two\npotential sites for deep sea port in Myanmar. Two types of numerical\nwave models: Phase-averaged model, SWAN (Simulating Waves\nNearshore), and Phase-resolving model, BOUSS (Boussinesq-type\nequations) were employed to predict the wave characteristics for\ninterested area. The detailed characteristics of wave parameters\nwere determined by two numerical wave models and the results were\ncompared for selected points. From their results, phase-resolving\nmodels would be used in small scale area and more preferred\nbecause of their ability to calculate accurately diffraction, shoaling,\nrefractions and nonlinearity, especially for calculating specific\nprocesses in and around harbors. On the other hand, phase-averaged\nmodel could be more suitable for large scale area, where local wave\ngeneration is dominant, because of their reliability and time saving\nprocessing."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Deep Sea Port"},{"interim":"Myanmar"},{"interim":"Numerical wave model"},{"interim":"Phase-averaged  model"},{"interim":"Phase-resolving model"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2021-01-05"}],"displaytype":"preview","filename":"IRJAES-V4N3P399Y19.pdf","filesize":[{"value":"542 KB"}],"format":"application/pdf","licensetype":"license_0","url":{"url":"https://meral.edu.mm/record/7235/files/IRJAES-V4N3P399Y19.pdf"},"version_id":"77e0278d-7920-491c-b79e-bc00c878d09f"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"4","subitem_journal_title":"International Research Journal of Advanced Engineering and Science Multidisciplinary (IRJAES)","subitem_pages":"21-27","subitem_volume":"4"}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Saw Nu Sanda Thein"},{"subitem_authors_fullname":"HuaLong YANG"},{"subitem_authors_fullname":"ZhongBo LIU"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Journal article"}]},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"10.5281/zenodo.3490487"},"item_title":"Application of Numerical Wave Models for Prediction of Wave Characteristics at Deep Sea Ports of Myanmar","item_type_id":"21","owner":"175","path":["1608152118915"],"publish_date":"2021-01-05","publish_status":"0","recid":"7235","relation_version_is_last":true,"title":["Application of Numerical Wave Models for Prediction of Wave Characteristics at Deep Sea Ports of Myanmar"],"weko_creator_id":"175","weko_shared_id":-1},"updated":"2022-03-24T23:14:31.733416+00:00"}