{"id":22558,"date":"2025-10-07T14:35:58","date_gmt":"2025-10-07T12:35:58","guid":{"rendered":"https:\/\/www.pmfst.unist.hr\/znanost\/76-fakultetski-seminar-guangsheng-zhao-i-hao-he\/"},"modified":"2025-10-08T11:02:52","modified_gmt":"2025-10-08T09:02:52","slug":"76-fakultetski-seminar-guangsheng-zhao-i-hao-he","status":"publish","type":"post","link":"https:\/\/www.pmfst.unist.hr\/znanost\/76-fakultetski-seminar-guangsheng-zhao-i-hao-he\/","title":{"rendered":"76. Fakultetski seminar – Guangsheng Zhao i Hao He"},"content":{"rendered":"
[vc_row][vc_column width=”1\/2″][vc_column_text css=”.vc_custom_1759914107932{margin-bottom: 0px !important;}”]\n

Pozivamo vas na 76. Fakultetski seminar 9. 10. 2025. u B3-48 u 14:15 <\/strong>sa sljede\u0107im temama:<\/p>\n

    \n
  1. Dataset of Potential Tsunami Scenarios in the South China Sea<\/li>\n
  2. Assessment of the hazard and inundation probability caused by tsunamis along the eastern coast of Hainan Island<\/li>\n<\/ol>\n

    koji \u0107e odr\u017eati kolege Guangsheng Zhao i Hao He\u00a0sa Sveu\u010dili\u0161ta u Pekingu<\/strong>.<\/p>\n

      \n
    1. \u200eSa\u017eetak<\/strong><\/li>\n<\/ol>\n

      The South China Sea is surrounded by many large cities with developed economy and dense population along the coast, where tsunamis are major potential disasters within the sea area. Therefore, a dataset and comprehensive assessment of potential tsunami scenarios are important foundations for coastal and ocean disaster prevention and mitigation in this area. Based on historical seismic records and geodetic observation data, this study integrates ocean dynamic model, the fault coupling inversion and source uncertainty analysis, to construct a potential tsunami scenario dataset in the South China Sea. The scenario dataset covers all possibilities of tsunamis caused by earthquakes with Mw \u2265 7 from the Manila subduction zone. Both tsunami height and period have been provided. The dataset allows users to obtain the joint probability distribution of tsunami wave height and period at any location of interest in the South China Sea, providing key parameters for hazard assessment.<\/p>\n

        \n
      1. \u200eKratki \u017eivotopis<\/strong><\/li>\n<\/ol>\n

        Dr. Guangsheng Zhao is a postdoctoral researcher in the Department of Hydraulic Engineering of Tsinghua University in Beijing, China. His research focuses on marine disasters along the south coast of China, including tsunamis and storm surges, with particular interet in numerical modeling of tsunami sources, hazard and risk assessment, and rapid forecasting. He has 5 papers published and 2 accepted in leading journals and is selected for the Shui Mu Tsinghua Scholar Program.<\/p>\n

          \n
        1. Sa\u017eetak<\/strong><\/li>\n<\/ol>\n

          The South China Sea is surrounded by many large cities with developed economy and dense population along the coast, where tsunamis are major potential disasters within the sea area. Therefore, a dataset and comprehensive assessment of potential tsunami scenarios are important foundations for coastal and ocean disaster prevention and mitigation in this area. Based on historical seismic records and geodetic observation data, this study integrates ocean dynamic model, the fault coupling inversion and source uncertainty analysis, to construct a potential tsunami scenario dataset in the South China Sea. The scenario dataset covers all possibilities of tsunamis caused by earthquakes with Mw \u2265 7 from the Manila subduction zone. Both tsunami height and period have been provided. The dataset allows users to obtain the joint probability distribution of tsunami wave height and period at any location of interest in the South China Sea, providing key parameters for hazard assessment.<\/p>\n

            \n
          1. Kratki \u017eivotopis<\/strong><\/li>\n<\/ol>\n

            Dr. Guangsheng Zhao is a postdoctoral researcher in the Department of Hydraulic Engineering of Tsinghua University in Beijing, China. His research focuses on marine disasters along the south coast of China, including tsunamis and storm surges, with particular interet in numerical modeling of tsunami sources, hazard and risk assessment, and rapid forecasting. He has 5 papers published and 2 accepted in leading journals and is selected for the Shui Mu Tsinghua Scholar Program.<\/p>\n[\/vc_column_text][\/vc_column][vc_column width=”1\/2″][mk_image src=”https:\/\/www.pmfst.unist.hr\/znanost\/wp-content\/uploads\/sites\/29\/2025\/10\/guangsheng-zhao-i-hao-he-.jpg” image_size=”full” lightbox=”true”][\/vc_column][\/vc_row]\n<\/div>","protected":false},"excerpt":{"rendered":"

            [vc_row][vc_column width=”1\/2″][vc_column_text css=”.vc_custom_1759914107932{margin-bottom: 0px !important;}”] Pozivamo vas na 76. Fakultetski seminar 9. 10. 2025. u B3-48 u 14:15 sa sljede\u0107im temama: Dataset of Potential Tsunami Scenarios in the South China Sea Assessment of the hazard and inundation probability caused by tsunamis along the eastern coast of Hainan Island koji \u0107e odr\u017eati kolege Guangsheng Zhao i […]<\/p>\n","protected":false},"author":1,"featured_media":20467,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"rs_blank_template":"","rs_page_bg_color":"","slide_template_v7":"","footnotes":""},"categories":[23,2],"tags":[],"poredak":[],"class_list":["post-22558","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-fakultetski-seminari","category-novosti"],"acf":[],"yoast_head":"\n76. Fakultetski seminar - Guangsheng Zhao i Hao He - Znanstvena djelatnost, PMF Split<\/title>\n<meta name=\"robots\" content=\"noindex, follow\" \/>\n<meta property=\"og:locale\" content=\"hr_HR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"76. Fakultetski seminar - Guangsheng Zhao i Hao He - Znanstvena djelatnost, PMF Split\" \/>\n<meta property=\"og:description\" content=\"[vc_row][vc_column width=”1\/2″][vc_column_text css=”.vc_custom_1759914107932{margin-bottom: 0px !important;}”] Pozivamo vas na 76. 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