于华明

发布者：赵诗琳发布时间：2017-03-15浏览次数：17275


于华明教授/博导, 国家一流课程负责人，青岛市科技人才，海南省科技领军人才，海南省双百人才团队成员，主持开发了智慧海洋系统 www.iocean.cn。

研究方向：AI海洋学；近海动力学及其生态效应；海洋数值预报；海洋电子信息

招收硕士和博士研究生专业：物理海洋；人工智能；计算机；电子信息；数学；物理；生态


中国海洋大学 海洋与大气学院

双聘 中国海洋大学三亚海洋研究院  

  1. mail：hmyu@ouc.edu.cn


教育经历

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

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

2010-2020中国海洋大学 海洋与大气学院 讲师、副教授

2021至今     中国海洋大学 海洋与大气学院 教授、博导


主要项目

  1. 2023-2030，国家海洋生态修复跟踪监测及效果评估，1298万元，项目负责人

  2. 2022-2025，海洋水库生态研究与海域使用论证，657万元，项目负责人

  3. 2011-2013，海洋可再生能源专项-万千瓦级潮汐电站勘查及可研，500万，主持

  4. 2020-2024，国家重点研发计划-集成数据产品制作，500万，课题负责人

  5. 2021-2023，南海大数据中心海基大数据产品研制，460万，课题负责人

  6. 2019-2021，国家重点研发计划-全球高分辨率海浪再分析产品，218万，课题负责人

  7. 2019-2021，国家重点研发计划-海洋灾害承灾体脆弱性评价，3500万元，子课题负责人

  8. 2015-2017，国家自然科学基金“全球海洋潮能通量与耗散”，主持

  9. 2020-2024，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

  10. 2015-2019，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

  11. 2019-2023，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

  12. 2015-2015，科技服务“威海市区海洋空间资源调查”（20150261），201.1万，主持

  13. 2020-2022，“南海北部海洋环境实时观测、预测与保障”，200万，课题负责人

  14. 2020-2022，“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

  15. 2014-2016，科技服务“东营海洋业务预报技术服务”，130万，主持

  16. 2015-2017，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

  17. 2015-2016，科技服务“崆峒岛生态环境监测与评价”，101万，主持

  18. 2024-2026，东海东瓯平台观测系统与预报可视化系统开发，主持，98.2万元

  19. 2017-2018，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

  20. 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., Huaming Yu*, 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. C. Wang, S. Li, Huaming Yu*, et al. Comparison of wave spectrum assimilation and significant wave height assimilation based on Chinese-French oceanography satellite observations. Remote Sensing of Environment, 305, 2024, 114085, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2024.114085.

  3. S. Qiao, Y. Yang, Huaming Yu*, et al. How the Water-Sediment Regulation Scheme in the Yellow River affected the estuary ecosystem in the last 10 years? Science of the Total Environment, 927 (2024) 172002. https://doi.org/10.1016/j.scitotenv.2024.172002.

  4. Li S, Yu Huaming*, Wu K, Yin X, Lang S, Ye J. Validation of the Ocean Wave Spectrum from the Remote Sensing Data of the Chinese–French Oceanography Satellite. Remote Sensing. 2023; 15(16):3918. https://doi.org/10.3390/rs15163918.

  5. L. Liu, Huaming Yu*, et al. Towards ecosystem-based management in Chinese coastal areas: Judgement criteria for water-passable structure based on permeability. Ocean and Coastal Management, 249 (2024) 106990, https://doi.org/10.1016/j.ocecoaman.2023.106990.

  6. Huaming 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.

  7. Zhu, Z., Huaming Yu#, et al. What Causes Excess Deepening of the Sediment Mixed Layer in the Deep Ocean? Geophysical Research Letters, 51, e2024GL108928. https://doi.org/10.1029/2024GL108928.

  8. H. Xu, B. Xu, Huaming Yu*, et al. Deciphering Multi-Scale Submarine Groundwater Discharge in a Typical Eutrophic Bay. Journal of Geophysical Research: Oceans, 129, e2024JC021042. https://doi.org/10.1029/2024JC021042.

  9. X. Guo, B. Xu, Huaming Yu, et al. Exploration of Deep Ocean Ferromanganese Nodule Fields Using Radon as a Tracer (2022). Geophysical Research Letters, DOI 10.1029/2022GL100726.

  10. Z. Zhang, Huaming Yu*, et al. WaveCastNet: A Deep Learning Ocean Wave Model with Energy Conservation, https://doi.org/10.48550/arXiv.2406.03848.

  11. C. Li, S. Zhao, C. Zhang, M. Li, J. Guo, N. T. Dimova, T. Yang, W. Liu, G. Chen, Huaming Yu, et al. Further refifinements of a continuous radon monitor for surface ocean water measurements (2022). Frontiers in Marine Science, DOI 10.3389/fmars.2022.1047126

  12. D. Qu, Huaming 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.

  13.  Xing Q, Huaming Yu#, 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.

  14. Huaming Yu, 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.

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

  16. Q. Xing, Huaming 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.

  17. X. Yu, S. Zhang, J. Li, L. Lu, Z. Liu, M. Li, Huaming 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

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

  19. Ayinde, A.S., Huaming Yu*, & Wu, K. Sea level variability and modeling in the Gulf of Guinea using supervised machine learning. Science Reports, 13, 21318 (2023). https://doi.org/10.1038/s41598-023-48624-1.

  20. Q. Xing, H. Yu, H. Wang, Huaming Yu. A sliding-window-threshold algorithm for identifying global mesoscale ocean fronts from satellite observations, Progress in Oceanography, Volume 216,2023, 103072, ISSN 0079-6611, https://doi.org/10.1016/j.pocean.2023.103072.

  21. W. Zhang, G. Zhang, Huaming Yu, et al. Sources and trophic transfer of trace metals in wild fish from coastal areas in the South China Sea, Marine and Freshwater Research, DOI:10.1071/mf22120.

  22. X. Liu, J. Wang, Y. Zhang, Huaming 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.

  23. W. Li, M. Wang, G. Burgaud, Huaming 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.

  24. Y. Xue, K. Tanaka, Huaming 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.

  25. Zhang Y, Yu H, Huaming Yu, 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).

  26.  H. Yu,Huaming 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.

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

  28.  H. Yu,Huaming 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.

  29. J. Lawen, Huaming 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.

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

  31.  Y. Ding, X. Bao,Huaming 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.

  32.  Y. Ding, Huaming 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.

  33. Huaming 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.

  34. Huaming 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.

  35. 叶佳承,于华明*,葛晶晶,等.深度学习提高有效波高预报精度的实验分析[J].中国海洋大学学报(自然科学版),2024,54(03):1-8.DOI:10.16441/j.cnki.hdxb.20220261.

  36. 徐豪然,于华明*,葛晶晶,等.南海海表盐度变化特征及机制研究[J].中国海洋大学学报(自然科学版),2024,54(02):1-11.DOI:10.16441/j.cnki.hdxb.20220354.

  37. 胡世强,黎舸,邓曜成,等.黄河口邻近海域海冰变化特征及机制分析[J].海洋科学,2023,47(05):149-160.

  38. 王燕妮,于华明*,于江华.水面光伏局地生态效应观测事实分析[J].太阳能学报,2022,43(09):38-44.DOI:10.19912/j.0254-0096.tynxb.2021-0251.

  39. 王春晓,于华明*,李松霖,等.基于海浪再分析数据的波浪能资源分析[J].太阳能学报,2022,43(09):430-436.DOI:10.19912/j.0254-0096.tynxb.2020-1381.

  40. 李松霖,于华明*,王春晓.全球涌浪池分布及年际变化分析[J].中国海洋大学学报(自然科学版),2022,52(12):1-15.DOI:10.16441/j.cnki.hdxb.20210311.



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

[4] 于华明，叶佳承等. 一种基于深度学习的区域海浪预报方法，2023.12，中国，ZL 2023 11706967.7

[5]于华明, 张辰宇等. 一种海洋海浪气象预报的有效波高和海洋海浪谱同化方法. 2023.11, 中国, ZL 2023 1 1612522.2

[6]张子良, 于华明等. 基于神经网络的沿海低分辨率水深数据高分辨率化方法. 2023.12, 中国, ZL 2023 1 1801659.2


  • 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.

[8] 赵进平，于华明等. 《护海实策-离岸海岛周边海域养殖环境分析》

[9] 于华明，于海庆等. 《一万个海洋科学难题-捕捞活动是否对海洋渔业资源及生态系统产生影响？》


科研奖励

  1. 中国产学研合作促进奖，中国产学研合作促进会，2024.01

  2. 山东省大数据科学技术奖，山东省大数据协会，2023.12

  3. “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。

  4. “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。

  5. “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。

  6. “海上风电运维海洋环境保障”获得2018海上风电优秀运维奖。

  7. 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

人工智能；近海动力学；海洋生态系统动力学；数据同化；海洋预报；海洋可再生能源。

CV

Huaming Yu

PH. D, Professor

Research Direction: AI Oceanography; 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


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., Huaming Yu*, 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. C. Wang, S. Li, Huaming Yu*, et al. Comparison of wave spectrum assimilation and significant wave height assimilation based on Chinese-French oceanography satellite observations. Remote Sensing of Environment, 305, 2024, 114085, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2024.114085.

  3. S. Qiao, Y. Yang, Huaming Yu*, et al. How the Water-Sediment Regulation Scheme in the Yellow River affected the estuary ecosystem in the last 10 years? Science of the Total Environment, 927 (2024) 172002. https://doi.org/10.1016/j.scitotenv.2024.172002.

  4. Li S, Yu Huaming*, Wu K, Yin X, Lang S, Ye J. Validation of the Ocean Wave Spectrum from the Remote Sensing Data of the Chinese–French Oceanography Satellite. Remote Sensing. 2023; 15(16):3918. https://doi.org/10.3390/rs15163918.

  5. L. Liu, Huaming Yu*, et al. Towards ecosystem-based management in Chinese coastal areas: Judgement criteria for water-passable structure based on permeability. Ocean and Coastal Management, 249 (2024) 106990, https://doi.org/10.1016/j.ocecoaman.2023.106990.

  6. Huaming 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.

  7. Zhu, Z., Huaming Yu#, et al. What Causes Excess Deepening of the Sediment Mixed Layer in the Deep Ocean? Geophysical Research Letters, 51, e2024GL108928. https://doi.org/10.1029/2024GL108928.

  8. H. Xu, B. Xu, Huaming Yu*, et al. Deciphering Multi-Scale Submarine Groundwater Discharge in a Typical Eutrophic Bay. Journal of Geophysical Research: Oceans, 129, e2024JC021042. https://doi.org/10.1029/2024JC021042.

  9. X. Guo, B. Xu, Huaming Yu, et al. Exploration of Deep Ocean Ferromanganese Nodule Fields Using Radon as a Tracer (2022). Geophysical Research Letters, DOI 10.1029/2022GL100726.

  10. Z. Zhang, Huaming Yu*, et al. WaveCastNet: A Deep Learning Ocean Wave Model with Energy Conservation, https://doi.org/10.48550/arXiv.2406.03848.

  11. C. Li, S. Zhao, C. Zhang, M. Li, J. Guo, N. T. Dimova, T. Yang, W. Liu, G. Chen, Huaming Yu, et al. Further refifinements of a continuous radon monitor for surface ocean water measurements (2022). Frontiers in Marine Science, DOI 10.3389/fmars.2022.1047126.

  12. D. Qu, Huaming 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.

  13.  Xing Q, Huaming Yu#, 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.

  14. Huaming Yu, 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.

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

  16. Q. Xing, Huaming 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.

  17. X. Yu, S. Zhang, J. Li, L. Lu, Z. Liu, M. Li, Huaming 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.

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

  19. Ayinde, A.S., Huaming Yu*, & Wu, K. Sea level variability and modeling in the Gulf of Guinea using supervised machine learning. Science Reports, 13, 21318 (2023). https://doi.org/10.1038/s41598-023-48624-1.

  20. Q. Xing, H. Yu, H. Wang, Huaming Yu. A sliding-window-threshold algorithm for identifying global mesoscale ocean fronts from satellite observations, Progress in Oceanography, Volume 216,2023, 103072, ISSN 0079-6611, https://doi.org/10.1016/j.pocean.2023.103072.

  21. W. Zhang, G. Zhang, Huaming Yu, et al. Sources and trophic transfer of trace metals in wild fish from coastal areas in the South China Sea, Marine and Freshwater Research, DOI:10.1071/mf22120.

  22. X. Liu, J. Wang, Y. Zhang, Huaming 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.

  23. W. Li, M. Wang, G. Burgaud, Huaming 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.

  24. Y. Xue, K. Tanaka, Huaming 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.

  25. Zhang Y, Yu H, Huaming Yu, 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).

  26.  H. Yu,Huaming 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.

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

  28.  H. Yu,Huaming 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.

  29. J. Lawen, Huaming 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.

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

  31.  Y. Ding, X. Bao,Huaming 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.

  32.  Y. Ding, Huaming 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.

  33. Huaming 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.

  34.  Huaming 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.