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Identifying storm-induced wave origins using SAR wave mode data

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Science China Earth Sciences 2016年第10期59卷 1971-1980页

作者： WANG Xuan JIANG Haoyu CHEN Ge yu fangjie College of Information Science and Engineering Ocean University of China Qingdao Collaborative Innovation Center of Marine Science and Technology Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and Technology

Because of weak dissipation effects, swells generated by fierce storms can propagate across an entire ocean basin;therefore, observing swell generation and decay and retrieving storm characteristics from a swell by satellite remote sensing are possible. In this study, based on the dispersion relation and geometrical optics principle, we used SAR wave mode data from 2003 to 2010 provided by GlobWave to track swells with peak wavelengths of more than 300 m to locate a storm-generated far-traveling swell and present the swell field related to this "static" origin. Through a comparison with ECMWF wind datasets, we conducted validations and explored some conditions that cause misjudgments in swell origins. Finally, we obtained the spatiotemporal distribution characteristics of satellite-observed swell origins(i.e., the fierce wind condition) and their evolution. This work can be used as a reference for wave models, providing early swell warnings, determining air-sea surface interactions, and determining global climate change.

关键词： SAR Fierce storm Swell tracking

Inversion of the three-dimensional temperature structure of mesoscale eddies in the Northwest Pacific based on deep learning

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Acta Oceanologica Sinica 2021年第10期40卷 176-186页

作者： fangjie yu Zeyuan Wang Shuai Liu Ge Chen College of Marine Technology Faculty of Information Science and EngineeringOcean University of ChinaQingdao 266100China Laboratory for Regional Oceanography and Numerical Modeling Pilot National Laboratory for Marine Science and Technology(Qingdao)Qingdao 266237China School of Marine Science and Technology Tianjin UniversityTianjin 300072China

Mesoscale eddies,which are mainly caused by baroclinic effects in the ocean,are common oceanic phenomena in the Northwest Pacific Ocean and play very important roles in ocean circulation,ocean dynamics and material energy *** temperature structure of mesoscale eddies will lead to variations in oceanic baroclinity,which can be reflected in the sea level anomaly(SLA).Deep learning can automatically extract different features of data at multiple levels without human intervention,and find the hidden relations of ***,combining satellite SLA data with deep learning is a good way to invert the temperature structure inside *** paper proposes a deep learning algorithm,eddy convolution neural network(ECN),which can train the relationship between mesoscale eddy temperature anomalies and sea level anomalies(SLAs),relying on the powerful feature extraction and learning abilities of convolutional neural *** obtaining the temperature structure model through ECN,according to climatic temperature data,the temperature structure of mesoscale eddies in the Northwest Pacific is retrieved with a spatial resolution of 0.25°at depths of 0–1000 *** overall accuracy of the ECN temperature structure is verified using Argo profiles at the locations of cyclonic and anticyclonic eddies during 2015–*** 10%error as the acceptable threshold of accuracy,89.64%and 87.25%of the cyclonic and anticyclonic eddy temperature structures obtained by ECN met the threshold,respectively.

关键词： mesoscale eddies temperature structure convolutional neural network Northwest Pacific Ocean

Multisatellite observations of smaller mesoscale eddy generation in the Kuroshio Extension

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Acta Oceanologica Sinica 2022年第9期41卷 137-148页

作者： fangjie yu Meiyu Wang Sijia Qian Ge Chen College of Marine Technology Faculty of Information Science and EngineeringOcean University of ChinaQingdao266100China Laboratory for Regional Oceanography and Numerical Modeling Pilot National Laboratory for Marine Science and Technology(Qingdao)Qingdao266237China

Smaller mesoscale eddies(SMEs)have an important effect on the transmission of ocean temperatures,salinity,energy,and marine biochemical ***,traditional altimeters,the dominant sensors used to identify and track eddies,have made it challenging to observe SMEs accurately due to resolution *** drive local upwelling or downwelling,leaving signatures on sea surface temperatures(SSTs)and chlorophyll concentrations(Chls).SST can be observed by spaceborne infrared sensors,and Chl can be measured by ocean color remote ***,multisatellite observations provide an opportunity to obtain information to characterize *** this paper,an eddy detection algorithm based on SST and Chl images is proposed,which identifies eddies by characterizing the spatial and temporal distribution of SST and Chl *** algorithm is applied to characterize and analyze SMEs in the Kuroshio *** results on their distribution and seasonal variability are shown,and the formation processes are preliminarily *** generation may be contributed by horizontal strain instability,the interaction of topographic obstacles and currents,and wind stress curl.

关键词： Kuroshio Extension smaller mesoscale eddy eddy detection algorithm multisatellite remote sensing

i4OilS pill, an Operational Marine Oil Spill Forecasting Model for Bohai Sea

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Journal of Ocean University of China 2016年第5期15卷 799-808页

作者： yu fangjie YAO Fuxin ZHAO Yang WANG Guansuo CHEN Ge College of Information Science and Engineering Qingdao Collaborative Innovation Center of Marine Science and Technology Ocean University of China Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and Technology College of Liberal Arts Journalism and Communication Ocean University of China The First Institute of Oceanography SOA

Oil spill models can effectively simulate the trajectories and fate of oil slicks, which is an essential element in contingency planning and effective response strategies prepared for oil spill accidents. However, when applied to offshore areas such as the Bohai Sea, the trajectories and fate of oil slicks would be affected by time-varying factors in a regional scale, which are assumed to be constant in most of the present models. In fact, these factors in offshore regions show much more variation over time than in the deep sea, due to offshore bathymetric and climatic characteristics. In this paper, the challenge of parameterizing these offshore factors is tackled. The remote sensing data of the region are used to analyze the modification of wind-induced drift factors, and a well-suited solution is established in parameter correction mechanism for oil spill models. The novelty of the algorithm is the self-adaptive modification mechanism of the drift factors derived from the remote sensing data for the targeted sea region, in respect to empirical constants in the present models. Considering this situation, a new regional oil spill model(i4Oil Spill) for the Bohai Sea is developed, which can simulate oil transformation and fate processes by Eulerian-Lagrangian methodology. The forecasting accuracy of the proposed model is proven by the validation results in the comparison between model simulation and subsequent satellite observations on the Penglai 19-3 oil spill accident. The performance of the model parameter correction mechanism is evaluated by comparing with the real spilled oil position extracted from ASAR images.

关键词： correction Bohai i4OilS pill offshore drift assumed subsequent Eulerian challenge suited

Parameterization Method of Wind Drift Factor Based on Deep Learning in the Oil Spill Model

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Journal of Ocean University of China 2023年第6期22卷 1505-1515页

作者： yu fangjie GU Feiyang ZHAO Yang HU Huimin ZHANG Xiaodong ZHUANG Zhiyuan CHEN Ge College of Marine Technology Faculty of Information Science and EngineeringOcean University of ChinaQingdao 266100China Laboratory for Regional Oceanography and Numerical Modelling Laoshan LaboratoryQingdao 266100China College of Liberal Arts Journalism and CommunicationOcean University of ChinaQingdao 266100China Qingdao Baifa Desalination Corporation Qingdao 266100China

Oil spill prediction is critical for reducing the detrimental impact of oil spills on marine ecosystems,and the wind strong-ly influences the performance of oil spill ***,the wind drift factor is assumed to be constant or parameterized by linear regression and other methods in existing studies,which may limit the accuracy of the oil spill simulation.A parameterization method for wind drift factor(PMOWDF)based on deep learning,which can effectively extract the time-varying characteristics on a regional scale,is proposed in this *** method was adopted to forecast the oil spill in the East China *** discrepancies between predicted positions and actual measurement locations of the drifters are obtained using seasonal statistical *** reveal that PMOWDF can improve the accuracy of oil spill simulation compared with the traditional ***,the parameteriza-tion method is validated with satellite observations of the Sanchi oil spill in 2018.

关键词： oil spill prediction deep learning wind drift factor regional parameterization East China Sea

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圣树崇拜在世界范围内的显现及意义

世界林业研究 2022年第4期35卷 59-63页

作者：俞方洁李勉四川美术学院通识学院重庆401331 重庆师范大学历史与社会学院重庆401331

在世界古代文明中,圣树崇拜是极为普遍的文化现象。树木象征着世界之树(生命之树),成为了某种超越性的存在。圣树之所以成为神圣的显现,是因为它不仅再现了宇宙,而且展现了宇宙永不枯竭、源源不断的生命力以及重生的过程。人们通过攀爬... 详细信息

在世界古代文明中,圣树崇拜是极为普遍的文化现象。树木象征着世界之树(生命之树),成为了某种超越性的存在。圣树之所以成为神圣的显现,是因为它不仅再现了宇宙,而且展现了宇宙永不枯竭、源源不断的生命力以及重生的过程。人们通过攀爬、触摸和拥抱树木等行为,力图与树建立密切联系,从而获得升天、再生和不朽等神力,分享树木的永恒生命。现代社会的林木保护意识可以说是古代圣树崇拜的延伸,其源头可以追溯到古代社会世界树的原始信仰。

关键词：世界树生命树树崇拜树木保护

秦即墨郡的设置和变迁——以里耶8-657号秦简为据

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中国历史地理论丛 2017年第3期32卷 127-131页

作者：李勉俞方洁重庆师范大学历史与社会学院重庆400047 四川美术学院公共课教学部重庆401331

里耶秦简8-657号简记载了"琅邪郡尉徙治"的相关内容,根据秦历谱、干支纪日、秦代信息传递速度和里耶秦简8-657简的内容,可以推断出8-657号简"琅邪郡尉徙治"的发文年月是秦始皇二十八年五月,此时尚无即墨郡。秦在灭齐之初,根据齐国疆域... 详细信息

里耶秦简8-657号简记载了"琅邪郡尉徙治"的相关内容,根据秦历谱、干支纪日、秦代信息传递速度和里耶秦简8-657简的内容,可以推断出8-657号简"琅邪郡尉徙治"的发文年月是秦始皇二十八年五月,此时尚无即墨郡。秦在灭齐之初,根据齐国疆域沿革和山川形势设齐、琅邪二郡。在秦始皇二十八年后分琅邪郡置即墨郡,琅邪郡尉徙治即墨和即墨郡的设置与秦始皇东巡关系密切。

关键词：里耶秦简8-657简即墨郡琅邪郡东巡

基于RGB-D图像的移动端点云分割方法研究

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重庆理工大学学报（自然科学） 2022年第2期36卷 126-134页

作者：余方洁王斌中国科学院长春光学精密机械与物理研究所长春130033 中国科学院大学北京100049

近年来,深度传感器和三维激光扫描仪的普及推动了三维点云处理方法的快速发展。针对传统的前后端分离的点云分割模式,提出了一种使用移动端设备进行三维数据采集与处理的一体化技术方案。基于谷歌的AR Core开发平台,进行了安卓设备上的... 详细信息

近年来,深度传感器和三维激光扫描仪的普及推动了三维点云处理方法的快速发展。针对传统的前后端分离的点云分割模式,提出了一种使用移动端设备进行三维数据采集与处理的一体化技术方案。基于谷歌的AR Core开发平台,进行了安卓设备上的深度图获取实验,深度图可进一步转换为点云数据;通过对模型轻量化方法的研究,改进了PointNet网络,使模型参数量减少为原来的1/5,同时具有约73%的分割精度;最后利用TensorFlow Lite移动端深度学习框架,将改进的PointNet网络成功部署到了安卓智能手机上,量化后的tflite模型仅268 kB大小,在启用GPU加速后,对单幅场景点云数据的推断速度约为0.7 s。实验结果表明了提出方法的可行性。

关键词：点云分割深度图获取深度学习框架

乳果糖联合双歧杆菌三联活菌胶囊在轻微性肝性脑病患者中的应用效果

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中国微生态学杂志 2020年第8期32卷 929-932页

作者：余芳杰江山市中医院内一科浙江江山324100

目的探讨乳果糖联合双歧杆菌三联活菌胶囊在轻微性肝性脑病(MHE)患者中的应用效果。方法选择2015年1月至2019年4月在我院消化科住院就诊的94例MHE患者为研究对象,随机分为观察组和对照组各47例。两组患者均予基础治疗。观察组患者在基... 详细信息

目的探讨乳果糖联合双歧杆菌三联活菌胶囊在轻微性肝性脑病(MHE)患者中的应用效果。方法选择2015年1月至2019年4月在我院消化科住院就诊的94例MHE患者为研究对象,随机分为观察组和对照组各47例。两组患者均予基础治疗。观察组患者在基础治疗上加用双歧杆菌三联活菌胶囊(630 mg/次,2次/d,温开水送服)联合乳果糖口服液(20 mL/次,3次/d,口服)治疗,连用8周。对照组患者单用乳果糖口服液治疗,剂量、用法及疗程同观察组。观察两组患者治疗前后血氨、血清内毒素(ET)、数字连接试验(NCT)时间和数字符号实验(DST)评分及肠道菌群数量的变化,并比较肝性脑病(HE)的转变率。结果治疗8周后,两组患者血氨、ET和NCT时间均较治疗前明显下降,DST评分较治疗前明显上升,且观察组变化幅度大于对照组(均P<0.05)。治疗8周后,两组患者肠道双歧杆菌和乳杆菌数量较治疗前显著增加,大肠埃希菌数量较治疗前显著减少,且观察组变化幅度大于对照组(均P<0.05)。治疗后观察组患者HE的转变率为8.51%(4/47),明显低于对照组的23.40%(11/47),差异有统计学意义(χ~2=3.89,P=0.049)。结论乳果糖联合双歧杆菌三联活菌胶囊能显著改善MHE患者智力测验结果,降低HE转化率,其作用机制可能与其能纠正患者肠道菌群紊乱,降低血氨水平,控制内毒素血症相关。

关键词：轻微性肝性脑病乳果糖双歧杆菌三联活菌胶囊血氨内毒素肠道微生态