公海欢迎来到赌船_欢迎来到公赌船jcjc710(唯一)官网

于华明

发布者：李星锐发布时间：2017-03-15浏览次数：13576


于华明

博士，教授，博导，海南省科技领军人才

研究方向：近海动力学及其生态效应；数据同化与数值预报；海洋电子信息工程

招收硕士和博士研究生专业：物理海洋；计算机；电子信息；数学；物理；生态


中国海洋大学 公海欢迎来到赌船

双聘 中国海洋大学三亚海洋研究院  青岛海洋科学与技术国家实验室

  1. mail：hmyu@ouc.edu.cn；93666943@qq.com


教育经历

2001/09-2005/06  中国海洋大学 海洋科学 学士；计算机科学与技术 双专业

2005/09-2010/06  中国海洋大学 物理海洋学 博士

2008/07-2010/10德国汉堡大学 联合培养博士


工作经历

2010/07-2020/12     中国海洋大学 公海欢迎来到赌船 讲师、副教授

2021/01至今    中国海洋大学 公海欢迎来到赌船 教授、博导


主要项目

  1. 2020/12-2024/12，国家重点研发计划课题，500万，课题负责人

  2. 2021/12-2023/12，南海海洋大数据中心海基大数据产品研制，460万，课题负责人

  3. 2019/09-2021/06，国家重点研发计划“全球高分辨率海浪再分析产品研制”，218万，课题负责人

  4. 2019/09-2021/06，国家重点研发计划“重大海洋动力灾害承灾体脆弱性调查与评价”，3500万元，子课题负责人

  5. 2015/01-2017/12，国家自然科学基金“全球海洋潮能通量与耗散”，主持

  6. 2020/01-2024/12，国家自然科学基金“蓝点马鲛种群动态对多尺度气候变化的响应过程与机理”，358.8万，参与

  7. 2015/01-2019/12，国家自然科学基金“黄海暖流形态与变化对暖舌结构影响的动力机制研究”，350万，参与

  8. 2011/09-2013/08，海洋可再生能源专项“八尺门万千瓦级潮汐电站站址勘查及工程预可研”，500万，主持

  9. 2019/06-2021/12，山东省重点研发项目“基于气象海洋大数据的海运航线智能决策系统及一体化服务平台研制”，613万，课题负责人

  10. 2015/06-2015/11，科技服务“威海市区海洋空间资源调查”（20150261），201.1万，主持

  11. 2020/01-2022/12，“南海北部海洋环境实时观测、预测与保障”，200万，课题负责人

  12. 2020/12-2022/12，“基于无损伤缩微实验室在线监测设备及海洋环境大数据应用平台的产业化建设”，150万元，主持

  13. 2014/11-2016/11，科技服务“东营海洋业务预报技术服务”，130万，主持

  14. 2015/06-2017/12，科技服务“乳山口大桥项目海域使用论证、海洋环境影响评价、对海洋公园影响专题项目”，110万，主持

  15. 2015/12-2016/04，科技服务“崆峒岛生态环境监测与评价”，101万，主持

  16. 2017/01-2018/12，孟加拉单点系泊及双线管道工程水文气象要素计算分析、巴基斯坦卡拉奇核电站取排水工程工程水文复核计算专题、菲律宾工程水位、波浪后报，600万元，参与

  17. 2011/12-2014/12，锚定式双导管涡轮潮流发电系统研究，100万元，参与


代表文章

  1. Song, S., Santos, I.R., Yu, H. et al. A global assessment of the mixed layer in coastal sediments and implications for carbon storage. Nature Communications,13, 4903 (2022). https://doi.org/10.1038/s41467-022-32650-0.

  2. H. Yu*, J. Li, et. al. A global high-resolution ocean wave model improved by assimilating the satellite altimeter signifificant wave height. Int J Appl Earth Obs Geoinformation, 70, 2018, 43-50.

  3. D. Qu, H. Yu*, et. al. Numerical study on the summertime patches of red tide in the adjacent sea of the Changjiang (Yangtze) River Estuary, China. Marine Pollution Bulletin, 143, 2019, 242-255.

  4. Xing Q, Yu H#, et al. A comprehensive model-based index for identification of larval retention areas: A case study for Japanese anchovy Engraulis japonicus in the Yellow Sea. Ecological Indicators, 2020.

  5. Yu H, Shen Y, Kelly R M, et al. Trends in social vulnerability to storm surges in Shenzhen, China[J]. Natural Hazards and Earth System Sciences, 2020, 20(9):2447-2462.

  6. Yu H, Yu H*, et al. Potential environmental drivers of Japanese anchovy (Engraulis japonicus) recruitment in the Yellow Sea[J]. Journal of Marine Systems, 2020, 212:103431.

  7. Q. Xing, H. Yu, et al. Using a larval growth index to detect the environment-recruitment relationships and its linkage with basin-scale climate variability: A case study for Japanese anchovy ( Engraulis japonicus ) in the Yellow Sea, Ecological Indicators,122, 2021, 107301.

  8. X. Yu, S. Zhang, J. Li, L. Lu, Z. Liu, M. Li, H. Yu, G. Han, X. Lin, L. Wu, and P. Chang. A Multi-Timescale EnOI-Like High-Effificiency Approximate Filter for Coupled Model Data Assimilation. Journal of Advances in Modeling Earth System, 2018, 10.1029/2018MS001504

  9. Z. Wang, S. Li, S. Dong, K. Wu*, H. Yu, et. al. Extreme wave climate variability in South China Sea. Int J Appl Earth Obs Geoinformation, 73, 2018, 586-594.

  10. X. Liu, J. Wang, Y. Zhang, H. Yu, et. al. Comparison between two GAMs in quantifying the spatial distribution of Hexagrammos otakii in Haizhou Bay, China. Fisheries Research, 218, 2019, 209-217.

  11. W. Li, M. Wang, G. Burgaud, H. Yu, L. Cai. Fungal Community Composition and Potential Depth-Related Driving Factors Impacting Distribution Pattern and Trophic Modes from Epi- to Abyssopelagic Zones of the Western Pacific Ocean. Microbial Ecology.https://doi.org/10.1007/s00248-019-01374-y.

  12. Y. Xue, K. Tanaka, H. Yu, et. al. Using a new framework of two-phase generalized additive models to incorporate prey abundance in spatial distribution models of juvenile slender lizardfish in Haizhou Bay, China. MARINE BIOLOGY RESEARCH, 2018, https://doi.org/10.1080/17451000.2018.1447673.

  13. Zhang Y, Yu H, Yu H, et al. Optimization of environmental variables in habitat suitability modeling for mantis shrimp Oratosquilla oratoria in the Haizhou Bay and adjacent waters[J]. Acta Oceanologica Sinica, 2020, 39(5).

  14. H. Yu,H. Yu*, L. Wang, L. Kuang, H. Wang, Y. Ding, S. Ito, J. Lawen, 2017: Tidal propagation and dissipation in the Taiwan Strait. Cont. Shelf Res., 136, 57-73.

  15. Q. Yue, M. Zhao,H. Yu, et al., 2016: Total quantity control and intensive management system for reclamation in China. Ocean & Coastal Management, 120, 64-69.

  16. H. Yu,H. Yu*, Y. Ding, L. Wang, L. Kuang, 2015: On M2 tidal amplitude enhancement in the Taiwan Strait and its asymmetry in the cross-strait direction. Cont. Shelf Res., 109, 198-209.

  17. J. Lawen, H. Yu, et. Al., 2013: New Unstructured Mesh Water Quality Model for Cooling Water Biocide Discharges, Environ Model Assess, doi: 10.1007/s10666-013-9370-6.

  18. J. Lawen,H. Yu, et. Al., 2012: New unstructured mesh water quality model for coastal discharges, Environmental Modelling & Software,doi: 10.1016/j.envsoft.2012.08.005.

  19. Y. Ding, X. Bao, H. Yu, L. Kuang, 2012: A numerical study of the barotropic tides and tidal energy distribution in the Indonesian seas with the assimilated finite volume coastal ocean model. Ocean Dynamics, doi:10.1007/s10236-011-0518-0.

  20. Y. Ding, H. Yu*, X. Bao, et.al., 2011: Barotropic responses of the East China Sea to a rapidly moving typhoon. Ocean Dynamics, doi: 10.1007/s10236-011-0436-1.2011.5.

  21. H. Yu, X. Chen, X. Bao, T. Pohlmann, D. Wu, 2010: A Novel High Resolution Model without Open Boundary Conditions Applied to the China Seas: First Investigation on Tides. Acta Oceanol. Sin., Vol. 29, No. 6,1-14.

  22. H. Yu, X. Bao, C. Lv et. al., 2009: Analyses of the long-term salinity variability in the Bohai Sea and the Northern Yellow Sea. Acta Oceanol. Sin., Vol. 28, No. 5,1-8.


标准规范

  1. GB/T 34910.2-2017, 海洋可再生能源资源调查与评估指南　第2部分：潮汐能[S].

  2. GB/T 34910.4-2017, 海洋可再生能源资源调查与评估指南　第4部分：海流能[S].

  3. GB/T 29726-2013, 海湾围填海规划环境影响评价技术导则[S].

  4. T/CAS 345-2019, 海洋环境预报数据资料质量控制指南.

  5. T/CAS 346—2019, 近海海洋环境数值预报模式.


专利软件

  • 国家授权专利

[1] 于华明，陈学恩. 全球海洋三角形网格的构建方法，2011.7，中国，ZL 2008 1 0138216.9

[2] 于华明，鲍献文等. 一种海水沿输水管输送过程中冷量损失的测量方法，2012.6，中国，ZL 2012 1 0182694.6

[3] 鲍献文，于华明. 黄海冷水团规模化综合利用系统，2013.3，中国，ZL 2012 10514247.6

  • 软件著作权

[1] 于华明. 海洋环境预报信息查询与可视化系统，2014.01，中国，2014SR126337

[2] 于华明等. 海洋大数据平台软件，2016.09，中国，2016R11L534259

[3] 张天远，于华明等. 基于空间相似性的台风路径预测系统V1.0，2021.01，中国2021SR0953221


专著

  1. 于华明，刘容子等.海洋可再生能源发展现状与展望. 中国海洋大学出版社， ISBN:978-7-5670-0191-6, 2012.12.

  2. 于华明，田崇国. 第四次气候变化国家评估特别报告·科学数据集-海洋科学数据，2023.

[3] 鲍献文，于华明等. 福建省海湾数模与环境研究，海洋出版社. ISBN:978-7-5027-8230-6, 2012.3.

[4] 鲍献文，乔璐璐，于华明. 福建省海湾围填海规划水动力影响评价. 科学出版社. ISBN: 9787030216984, 2008.9.

[5] 张学超，胡红智，刘营，于华明等. 威海市葡萄滩海域水动力调查及岸滩冲於对策措施研究. 中国海洋大学出版社. ISBN:978-7-5670-1006-2, 2015.9.

[6] L. Kuang, H. Yu, H. Kuang. Data Assimilation Methodology and Validation in Ocean Model.  LAMBERT.

[7] 侍茂崇等. 海洋调查方法.


科研奖励

  1. “我国东部海区海洋动力环境关键过程及其精细化数值模拟与应用研究，海洋工程科学技术奖一等奖”，国家海洋局，2014-01-01。

  2. “中国近海重点区域海洋能资源评估技术研究与应用”获得海洋科学技术奖二等奖。

  3. “威海市区海洋空间资源区划及调查项目”获得中国地理信息产业优秀工程铜奖。

  4. “海上风电运维海洋环境保障”获得2018海上风电优秀运维奖。

  5. 山东省优秀博士毕业生，山东省教育厅，2010。


学术兼职

英国利物浦大学 荣誉教授

德克萨斯农工大学（卡塔尔分校）助理研究员


讲授课程

本科：海洋调查方法；潮汐学；海洋可视化

研究生：海洋观测、海洋调查实习、海洋资料的分析与获取、海洋可视化


研究兴趣

近海动力学；海洋生态系统动力学；数据同化；海洋预报。


Huaming Yu

PH. D, Professor

Research Direction: Ocean dynamics; Marine ecosystem dynamics; Data assimilation and marine forecasting.


College of Oceanic and Atmospheric Sciences

Ocean University of China

238 Songling Rd, Qingdao 266100, China

Email: hmyu@ouc.edu.cn; 93666943@qq.com


Education

09/2001-06/2005, B.S. in Marine Science, Ocean University of China, minor in Computer Science and Technology

09/2005-06/2010, Ph.D. in Physical Oceanography, Ocean University of China

11/2008-09/2010, Joint Ph.D. candidate, Hamburg University


EMPLOYMENT

07/2010-12/2020, Lecture, Associate Professor, Ocean University of China

01/2021-present, Professor, Ph.D. supervisor, Ocean University of China


Major PROJECTS

[1] 12/2020-12/2024, National Key R&D Program Project, 5000k, PI

[2] 09/2019-06/2021, National Key R&D Program ‘Development of global ocean high-resolution wave reanalysis products’, 2180k, PI

[3] 09/2019-06/2021, National Key R&D Program ‘Investigation and evaluation of vulnerability of major marine dynamic disaster’, 35000k, PIof sub-projects

[4] 01/2015-12/2017, National Natural Science Foundation of China ‘Global ocean tidal energy flux and dissipation’, PI

[5] 01/2020-12/2024, National Natural Science Foundation of China ‘Response process and mechanism of blue-spotted mackerel population dynamics to multi-scale climate change’, 3588k

[6] 01/2015-12/2019, National Natural Science Foundation of China ‘Study on the dynamic mechanism of the influence of the morphology and change of the warm current on the structure of the warm tongue in the Yellow Sea’, 3500k

[7] 12/2015-04/2016, Technology service project ‘Ecosystem Monitoring and Evaluation of Kongdong Islands’, 1010k, PI

[18] 01/2017-12/2018, Calculation and analysis of hydrometeorological elements of single-point mooring and double-line pipeline projects in Bangladesh/Special topic on hydrological review and calculation of the intake and drainage project of the Karachi Nuclear Power Plant in Pakistan, the philippine engineering water level, and the wave post-report,6000k


REFEREED PUBLICATIONS

  1. Song, S., Santos, I.R., Yu, H. et al. A global assessment of the mixed layer in coastal sediments and implications for carbon storage. Nature Communications, 13, 4903 (2022). https://doi.org/10.1038/s41467-022-32650-0.

  2. H. Yu*, J. Li, et. al. A global high-resolution ocean wave model improved by assimilating the satellite altimeter signifificant wave height. Int J Appl Earth Obs Geoinformation, 70, 2018, 43-50.

  3. D. Qu, H. Yu*, et. al. Numerical study on the summertime patches of red tide in the adjacent sea of the Changjiang (Yangtze) River Estuary, China. Marine Pollution Bulletin, 143, 2019, 242-255.

  4. Xing Q, Yu H#, et al. A comprehensive model-based index for identification of larval retention areas: A case study for Japanese anchovy Engraulis japonicus in the Yellow Sea. Ecological Indicators, 2020.

  5. Yu H, Shen Y, Kelly R M, et al. Trends in social vulnerability to storm surges in Shenzhen, China[J]. Natural Hazards and Earth System Sciences, 2020, 20(9):2447-2462.

  6. Yu H, Yu H*, et al. Potential environmental drivers of Japanese anchovy (Engraulis japonicus) recruitment in the Yellow Sea[J]. Journal of Marine Systems, 2020, 212:103431.

  7. Q. Xing, H. Yu, et al. Using a larval growth index to detect the environment-recruitment relationships and its linkage with basin-scale climate variability: A case study for Japanese anchovy ( Engraulis japonicus ) in the Yellow Sea, Ecological Indicators,122, 2021, 107301.

  8. X. Yu, S. Zhang, J. Li, L. Lu, Z. Liu, M. Li, H. Yu, G. Han, X. Lin, L. Wu, and P. Chang. A Multi-Timescale EnOI-Like High-Effificiency Approximate Filter for Coupled Model Data Assimilation. Journal of Advances in Modeling Earth System, 2018, 10.1029/2018MS001504

  9. Z. Wang, S. Li, S. Dong, K. Wu*, H. Yu, et. al. Extreme wave climate variability in South China Sea. Int J Appl Earth Obs Geoinformation, 73, 2018, 586-594.

  10. X. Liu, J. Wang, Y. Zhang, H. Yu, et. al. Comparison between two GAMs in quantifying the spatial distribution of Hexagrammos otakii in Haizhou Bay, China. Fisheries Research, 218, 2019, 209-217.

  11. W. Li, M. Wang, G. Burgaud, H. Yu, L. Cai. Fungal Community Composition and Potential Depth-Related Driving Factors Impacting Distribution Pattern and Trophic Modes from Epi- to Abyssopelagic Zones of the Western Pacific Ocean. Microbial Ecology.https://doi.org/10.1007/s00248-019-01374-y.

  12. Y. Xue, K. Tanaka, H. Yu, et. al. Using a new framework of two-phase generalized additive models to incorporate prey abundance in spatial distribution models of juvenile slender lizardfish in Haizhou Bay, China. MARINE BIOLOGY RESEARCH, 2018, https://doi.org/10.1080/17451000.2018.1447673.

  13. Zhang Y, Yu H, Yu H, et al. Optimization of environmental variables in habitat suitability modeling for mantis shrimp Oratosquilla oratoria in the Haizhou Bay and adjacent waters[J]. Acta Oceanologica Sinica, 2020, 39(5).

  14. H. Yu,H. Yu*, L. Wang, L. Kuang, H. Wang, Y. Ding, S. Ito, J. Lawen, 2017: Tidal propagation and dissipation in the Taiwan Strait. Cont. Shelf Res., 136, 57-73.

  15. Q. Yue, M. Zhao,H. Yu, et al., 2016: Total quantity control and intensive management system for reclamation in China. Ocean & Coastal Management, 120, 64-69.

  16. H. Yu,H. Yu*, Y. Ding, L. Wang, L. Kuang, 2015: On M2 tidal amplitude enhancement in the Taiwan Strait and its asymmetry in the cross-strait direction. Cont. Shelf Res., 109, 198-209.

  17. J. Lawen, H. Yu, et. Al., 2013: New Unstructured Mesh Water Quality Model for Cooling Water Biocide Discharges, Environ Model Assess, doi: 10.1007/s10666-013-9370-6.

  18. J. Lawen,H. Yu, et. Al., 2012: New unstructured mesh water quality model for coastal discharges, Environmental Modelling & Software,doi: 10.1016/j.envsoft.2012.08.005.

  19. Y. Ding, X. Bao, H. Yu, L. Kuang, 2012: A numerical study of the barotropic tides and tidal energy distribution in the Indonesian seas with the assimilated finite volume coastal ocean model. Ocean Dynamics, doi:10.1007/s10236-011-0518-0.

  20. Y. Ding, H. Yu*, X. Bao, et.al., 2011: Barotropic responses of the East China Sea to a rapidly moving typhoon. Ocean Dynamics, doi: 10.1007/s10236-011-0436-1.2011.5.

  21. H. Yu, X. Chen, X. Bao, T. Pohlmann, D. Wu, 2010: A Novel High Resolution Model without Open Boundary Conditions Applied to the China Seas: First Investigation on Tides. Acta Oceanol. Sin., Vol. 29, No. 6,1-14.

  22. Yu, X. Bao, C. Lv et. al., 2009: Analyses of the long-term salinity variability in the Bohai Sea and the Northern Yellow Sea. Acta Oceanol. Sin., Vol. 28, No. 5,1-8.


standard specification

[1] GB/T 34910.2-2017, Guidelines for the Survey and Assessment of Marine Renewable Energy Resources, Part 2: Tidal energy[S].

[2] GB/T 34910.4-2017, Guidelines for the Survey and Assessment of Marine Renewable Energy Resources, Part 4: Ocean current energy [S].

[3] GB/T 29726-2013, Technical guidelines for environmental impact assessment of bay reclamation planning [S].

[4] T/CAS 345-2019, Guidelines for quality control of marine environmental forecast data.

[5] T/CAS 346-2019, Numerical forecasting models for offshore marine environments.


patentS & copyrightS

  • PATENTS

[1] H.Yu, X. Chen. Construction Method of Global Ocean Unstructured Mesh，2011.7，China, ZL 2008 1 0138216.9

[2] H.Yu, X. Bao, et al.A Method for Measuring Cold Loss in the Process of Transport of Seawater along Water Pipeline,2012.6, China, ZL 2012 1 0182694.6

[3] X. Bao, H.Yu. Comprehensive Utilization System of Yellow Sea Cold Water Mass Scale, 2013.3, China, ZL 2012 10514247.6

  • COPYRIGHT

[1] H.Yu. Marine Environment Forecast Information Query and Visualization System, 2014.01, China,2014SR126337

[2] H.Yu, et al. Marine Big Data Platform Software, 2016.09, China, 2016R11L534259

[3] T. Zhang, H.Yu. Typhoon path prediction system V1.0 based on spatial similarity, 2021.01, China, 2021SR0953221


monograph

[1] H.Yu, R. Liu, et al. Status and prospects of marine renewable energy development，Ocean University of China Press, ISBN:978-7-5670-0191-6, 2012.12.

[2] H.Yu, C. Tian. Special report on the Fourth National Assessment of Climate Change, Scientific datasets-Marine science data, 2023

[3] X. Bao, H.Yu, et al. Digital modeling and environmental research of the gulf in Fujian Province, Ocean Press, ISBN:978-7-5027-8230-6, 2012.3.

[4] X. Bao, L.Qiao, H.Yu. Hydrodynamic impact assessment of bay reclamation planning in Fujian Province, Science Press, ISBN: 9787030216984, 2008.9.

[5] X. Zhang, H. Hu,Y.Liu, H.Yu, et al. Hydrodynamic survey of grape beach waters and countermeasures for shore beach flushing in WeiHai, Ocean University of China Press, ISBN:978-7-5670-1006-2, 2015.9.

[6] L. Kuang, H. Yu, H. Kuang. Data Assimilation Methodology and Validation in Ocean Model.  LAMBERT.

[7] C. Shi, et al. Marine survey methods.


Awards

  1. Wu, D., X. Chen, X. Bao, X. Lin, J. Song, C. Ma, X. Han, H. Yu, L. Qiao, P. Zheng, and G. Wang, 2015: Study on the key processes of ocean dynamic environment in the East China Sea and their fine numerical simulations and applications, First prize of Science and Technology Award of China Association of Oceanic Engineering, 2014-01-01.

  2. Chinese offshore marine renewable energy assessment, Second prize of Science and Technology Award of Ocean, China.

  3. Ocean Survey and Analysis on Weihai offshore, Geographic Information Industry Excellent Engineering Bronze Award, China

  4. 2018 Offshore Wind Power Excellent Operation and Maintenance Award

  5. H. Yu，Outstanding Doctoral Students in Shandong Province, Shandong Provincial Bureau of Education, 2010.


Academic part-time

Honorary ProfessorUniversity of Liverpool, UK

Research Assistant  Texas A&M University(Qatar Campus)


Courses

Undergraduate: Marine Survey and Observation; Ocean Tide; Ocean Visualization.

Postgraduate: Ocean observations; Ocean Visualization.


Research Interests

Coastal Ocean Dynamics;

Marine ecosystem;

Data assimilation and marine forecasting.


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