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Climatology of Wind-Seas and Swells in the China Seas from Wave Hindcast

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Journal of Ocean University of China 2020年第1期19卷 90-100页

作者： qian chengcheng JIANG Haoyu WANG Xuan CHEN Ge North China Sea Marine Forecasting Center of State Oceanic Administration Qingdao 266100China Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and TechnologyQingdao 266000China College of Information Science and Engineering Ocean University of ChinaQingdao 266100China College of Marine Science and Technology China University of GeosciencesWuhan 430000China College of Ocean Science and Engineering Shanghai Maritime UniversityShanghai 200000China

The wind-sea and swell climates in the China Seas are investigated by using the 27-yr Integrated Ocean Waves for Geophysical and other Applications(IOWAGA)hindcast data.A comparison is made between the significant wave height from the IOWAGA hindcasts and that from a jointly calibrated altimetry dataset,showing the good performance of the IOWAGA hindcasts in the China Seas.A simple but practical method of diagnosing whether the sea state is wind-sea-dominant or swell-dominant is proposed based on spectral *** from the characteristics of wind-seas and swells in the open ocean,the wave fields in the enclosed seas such as the China Seas are predominated by wind-sea events in respect of both frequencies of occurrences and energy weights,due to the island sheltering and limited *** energy weights of wind-seas in a given location is usually more significant than the occurrence probability of wind-sea-dominated events,as the wave energy is higher in the wind-sea events than in the swell events on average and extreme wave heights are mostly related to *** most energetic swells in the China Seas(and other enclosed seas)are‘local swells’,having just propagated out of their generation ***,the swells coming from the West Pacific also play an important role in the wave climate of the China Seas,which can only be revealed by partitioning different swell systems in the wave spectra as the energy of them is significantly less than the‘local swells’.

关键词： the China Seas wind-sea swell wave climate WAVEWATCH Ⅲ

Data science for oceanography:from small data to big data

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Big Earth Data 2022年第2期6卷 236-250页

作者： chengcheng qian Baoxiang Huang Xueqing Yang Ge Chen Department of Information and Files North China Sea Marine Forecasting Center of State Oceanic AdministrationQingdaoChina College of Computer Science and Technology Qingdao UniversityQingdaoChina Marine Division 1 Piesat Information Technology Co.LtdBeijingChina College of Information Science and Engineering Ocean University of ChinaQingdaoChina Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and TechnologyQingdaoChina

The rapid development of ocean observation technology has resulted in the accumulation of a large amount of data and this is pushing ocean science towards being *** on the types and distribution of oceanographic data,this paper analyzes the present and makes predictions for the future regarding the use of big and small data in ocean *** ocean science has not fully entered the era of big *** are two ways to expand the amount of oceanographic data to better understanding and man-agement of the *** the data level,fully exploit the potential value of big and small ocean data,and transform the limited,small data into rich,big data,will help to achieve *** the application level,oceanographic data are of great value if realize the federation of the core data owners and the *** oceanographic data will provide not only a reliable scientific basis for climate,ecological,disaster and other scientific research,but also provide an unprecedented rich source of information that can be used to make predictions of the future.

关键词： Ocean science data big data small data

Quality control of marine big data——a case study of real-time observation station data in Qingdao

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Journal of Oceanology and Limnology 2019年第6期37卷 1983-1993页

作者： qian chengcheng LIU Aichao HUANG Rui LIU Qingrong XU Wenkun ZHONG Shan YU Le North China Sea Marine Forecasting Center of State Oceanic Administration Qingdao 266061China Qingdao Geotechnical Investigation and Surveying Research Institute Qingdao 266000China Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and TechnologyQingdao 266000China

Offshore waters provide resources for human beings,while on the other hand,threaten them because of marine *** stations are part of offshore observation networks,and the quality of their data is of great significance for exploiting and protecting the *** used hourly mean wave height,temperature,and pressure real-time observation data taken in the Xiaomaidao station(in Qingdao,China)from June 1,2017,to May 31,2018,to explore the data quality using eight quality control methods,and to discriminate the most effective method for Xiaomaidao *** using the eight quality control methods,the percentages of the mean wave height,temperature,and pressure data that passed the tests were 89.6%,88.3%,and 98.6%,*** the marine disaster(wave alarm report)data,the values failed in the test mainly due to the influence of aging observation equipment and missing data *** mean wave height is often affected by dynamic marine disasters,so the continuity test method is not *** correlation test with other related parameters would be more useful for the mean wave height.

关键词： quality control real-time station data marine big data Xiaomaidao Station marine disaster

Seasonal Distribution of Observed Colored Dissolved Organic Matter(CDOM)in the Eastern Indian Ocean

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Journal of Ocean University of China 2023年第4期22卷 886-896页

作者： CAI Xiaoqing MENG Jie YUAN Chao LIU Rongjie HOU Erhu BI Dayong LI Yaoru qian chengcheng ZHONG Shan Shandong Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation Qingdao 266061China North China Sea Marine Forecasting Center Ministry of Natural ResourcesQingdao 266061China National Ocean Technology Center Ministry of Natural ResourcesTianjin 300112China The First Institute of Oceanography Ministry of Natural ResourcesQingdao 266061China North China Sea Environmental Monitoring Center Ministry of Natural ResourcesQingdao 266033China

Colored dissolved organic matter(CDOM)is a crucial constituent that affects the optical absorption properties of *** to the relatively limited measured data on the spatial distribution characteristics of CDOM in the tropical eastern Indian Ocean,this study analyzes the optical absorption characteristics of CDOM in the southeast Indian Ocean using the data collected during four seasons from 2013 to *** work also systematically describes the seasonal horizontal and vertical distribution characteristics of CDOM in this area and conducts a preliminary analysis of the relevant factors affecting CDOM absorption characteristics in this *** indicate that the CDOM ag(440)during summer was remarkably lower than that in the coastal waters of Europe and coastal waters of China but slightly higher than that in the western and southeast *** spatial distribution of surface CDOM shows remarkable seasonal differences,and the spatial distribution characteristics of CDOM in the 5°S,92°E region differ between spring/summer and autumn/*** values of ag(400)and ag(440)are weak/strong at a surface/subsurface level of 100 m,with differences found between summer and *** correlation of CDOM with temperature,salinity,and chlorophyll-a concentration is relatively low,indicating that CDOM is an independent driving mechanism influenced by phytoplankton degradation,photobleaching,and water mixing.

关键词： colored dissolved organic matter tropical eastern Indian Ocean distribution characteristics influencing factors

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海洋大数据科学发展现状与展望

中国科学院院刊 2018年第8期33卷 884-891页

作者：钱程程陈戈国家海洋局北海预报中心青岛海洋科学与技术国家实验室区域海洋动力学与数值模拟功能实验室中国海洋大学信息科学与工程学院

随着海洋观测、模拟手段的快速提升和数据科学的重大突破,现代海洋科学经历了理论牵引、技术驱动与数据主导三大范式变革,海洋大数据已成为人类从认识海洋到经略海洋的必经之路。文章从海洋大数据的获取、分析及应用,上、中、下游全链... 详细信息

随着海洋观测、模拟手段的快速提升和数据科学的重大突破,现代海洋科学经历了理论牵引、技术驱动与数据主导三大范式变革,海洋大数据已成为人类从认识海洋到经略海洋的必经之路。文章从海洋大数据的获取、分析及应用,上、中、下游全链条分析了目前的发展现状,指出现今将海洋科学领域与数据科学领域紧密结合,有效应对海洋发展中科学、技术、工程、人文等方面的挑战,是海洋科研领域的核心问题之一。在此基础上,提出了未来5—10年海洋大数据科学发展的主要方向和关键技术,对于准确掌握海洋状况、提升海洋预测服务能力、维护国家海洋权益具有重要的现实意义和深远的战略意义。

关键词：海洋大数据研究现状未来方向关键技术

新型分枝杆菌荧光报告噬菌体的构建及其在结核分枝杆菌药敏检测中的应用

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中华微生物学和免疫学杂志 2023年第10期43卷 749-755页

作者：钱程成马瑞青郭明权范小勇温州医科大学检验医学院、生命科学学院温州325035 上海市(复旦大学附属)公共卫生临床中心科学研究部上海201508

目的设计基于纳米荧光素酶(Nluc)的新型荧光报告系统,构建新型分枝杆菌荧光报告噬菌体ΦFN,分析该噬菌体检测结核分枝杆菌耐药性的能力。方法构建P_(furAma)启动子控制表达的Nluc荧光报告系统,将其整合至耻垢分枝杆菌基因组中,测试其在... 详细信息

目的设计基于纳米荧光素酶(Nluc)的新型荧光报告系统,构建新型分枝杆菌荧光报告噬菌体ΦFN,分析该噬菌体检测结核分枝杆菌耐药性的能力。方法构建P_(furAma)启动子控制表达的Nluc荧光报告系统,将其整合至耻垢分枝杆菌基因组中,测试其在分枝杆菌的荧光报告能力;随后将P_(furAma)-nluc报告系统整合到TM4分枝杆菌噬菌体基因组中,构建新型分枝杆菌荧光报告噬菌体ΦFN;通过调整药物预处理时间、感染时间等条件,建立ΦFN检测分枝杆菌耐药性的快速检测流程,在96孔板中检测52株已知耐药性的结核分枝杆菌临床分离株对3种一线抗结核药物耐药的耐药性。结果整合型表达荧光报告系统P_(furAma)-nluc的耻垢分枝杆菌可报告下限达到100菌落形成单位(colony-forming unit,CFU),低于已报道的P_(left)启动子表达nluc系统。新型分枝杆菌荧光报告噬菌体ΦFN可通过孔板读值法在24 h内检测到分枝杆菌的存在,检测下限达到100 CFU。药物与待测菌预培养48 h后再加入噬菌体孵育24 h,敏感菌在105 CFU以下均无法检测到荧光信号,可有效区分敏感株并进行耐药性的快速检测。以罗氏药敏实验作为金标准,使用ΦFN检测52株结核分枝杆菌临床菌株对利福平、异烟肼和链霉素的耐药性,检测准确性分别是51/52、48/52、49/52。结论利用新型重组荧光报告噬菌体检测结核分枝杆菌对利福平、异烟肼、链霉素的耐药性具有极高的准确性,报告时间仅需3 d,有望成为一种快速简便的结核分枝杆菌耐药性检测新方法。

关键词：结核分枝杆菌荧光报告噬菌体药物敏感性测试耐药结核

中性粒细胞/淋巴细胞比值和循环肿瘤细胞计数联合预测结直肠癌患者预后

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现代肿瘤医学 2023年第3期31卷 476-480页

作者：钱程程袁海花姜斌上海交通大学医学院附属第九人民医院肿瘤科上海201999

目的:探索结合中性粒细胞/淋巴细胞比值(NLR)和循环肿瘤细胞(CTCs)计数能否预测结直肠癌患者的预后。方法:我们选择2016年08月到2020年10月在我院肿瘤科接受不同治疗的39例结直肠癌根治术后患者,收集相关资料。我们通过在SPSS中绘制了RO... 详细信息

目的:探索结合中性粒细胞/淋巴细胞比值(NLR)和循环肿瘤细胞(CTCs)计数能否预测结直肠癌患者的预后。方法:我们选择2016年08月到2020年10月在我院肿瘤科接受不同治疗的39例结直肠癌根治术后患者,收集相关资料。我们通过在SPSS中绘制了ROC曲线,通过计算约登指数选择NLR和CTCs的最佳临界值。通过Kaplan-Meier分析和COX回归分析来分析DFS和OS。结果:高NLR组和高CTCs组患者的DFS和OS短于低NLR组和低CTCs组患者。当结合NLR和CTCs分析结直肠癌患者预后时发现,当高NLR和高CTCs同时存在时,患者预后较差。结论:NLR和CTCs计数可以作为结直肠癌的独立预后因素。结合NLR和CTCs计数,可以更好的预测结直肠癌患者的预后。

关键词：结直肠癌中性粒细胞/淋巴细胞比值循环肿瘤细胞计数预后

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头颈部鳞癌预后相关肿瘤标志物的研究现状

现代肿瘤医学 2021年第5期29卷 888-892页

作者：钱程程袁海花姜斌上海交通大学医学院附属第九人民医院上海201900

近年来,头颈部鳞癌的治疗已经有了很大的进展,患者通过手术治疗、放疗或化疗,疾病控制和患者生活质量均可得到较大改善,但是总体生存率依旧很低,主要原因是肿瘤的复发和转移。对于头颈部鳞癌患者肿瘤复发的监测,临床医生需要借助某些手... 详细信息

近年来,头颈部鳞癌的治疗已经有了很大的进展,患者通过手术治疗、放疗或化疗,疾病控制和患者生活质量均可得到较大改善,但是总体生存率依旧很低,主要原因是肿瘤的复发和转移。对于头颈部鳞癌患者肿瘤复发的监测,临床医生需要借助某些手段来协助发现肿瘤的局部复发及转移,从而有助于及时采取治疗。因此,寻找一个确切的肿瘤标志物来辅助临床诊断、判断患者对治疗的反应,以及及早发现肿瘤的局部复发和转移已经成为一个需要被关注的问题。该篇文章主要综述的是目前研究认为对头颈部鳞癌可能有预后作用的肿瘤标志物。

关键词：头颈部鳞癌肿瘤标志物预后 Cyfra21-1 SCCAg TPS CTCs

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生态链视角下医疗卫生领域知识服务模式探索

情报探索 2020年第3期 41-48页

作者：刘双钱澄澄徐州医科大学图书馆江苏徐州221004 空军勤务学院图书馆江苏徐州221000

[目的/意义]旨在为医疗卫生领域知识服务提供理论与实践参考。[方法/过程]在生态链视角下,面向医疗卫生领域构建以生态链中的生产者为知识创新主体、分解者为知识实践主体、消费者为知识受益主体的医疗卫生领域知识依赖关系模型,并在此... 详细信息

[目的/意义]旨在为医疗卫生领域知识服务提供理论与实践参考。[方法/过程]在生态链视角下,面向医疗卫生领域构建以生态链中的生产者为知识创新主体、分解者为知识实践主体、消费者为知识受益主体的医疗卫生领域知识依赖关系模型,并在此基础上,围绕知识服务各要素以及之间的关系探索医疗卫生领域知识服务模式。[结果/结论]提出医疗卫生资源消费者知识服务模式、医疗卫生资源生产者知识服务模式以及医疗卫生资源分解者知识服务模式。

关键词：生态链医疗卫生知识服务