检索结果-南通市图书馆

Multi-sensor monitoring of Ulva prolifera blooms in the Yellow Sea using different methods

Frontiers of Earth Science 2016年第2期10卷 378-388页

作者： Qing xu Hongyuan ZHANG yongcun cheng Jiangsu Key Laboratory of Coast Ocean Resources Development and Environment Security Hohai University Nanjing 210098 China College of Harbour Coastal and Offshore Engineering Hohai University Nanjing 210098 China Center for Coastal Physical Oceanography Old Dominion University Norfolk VA 23508 USA

The massive Ulva （U.）prolifera bloom in the Yellow Sea was first observed and reported in summer of 2008. After that, the green tide event occurred every year and influenced coastal areas of Jiangsu and Shandong provinces of China. Satellite remote sensing plays an important role in monitoring the floating macroalgae. In this paper, U. prolifera patches are detected from quasi- synchronous satellite images with different spatial resolu- tion, i.e., Aqua MODIS （Moderate Resolution Imaging Spectroradiometer）, HJ-1A/B （China Small Satellite Con- stellation for Environment and Disaster Monitoring and Forecasting）, CCD （Charge-Coupled Device）, Landsat 8 OLI （Operational Land Imager）, and ENVISAT （Environ- mental Satellite） ASAR （Advanced Synthetic Aperture Radar） images. Two comparative experiments are per- formed to explore the U. prolifera monitoring abilities by different data using detection methods such as NDVI （Normalized Difference Vegetation Index） with different thresholds. Results demonstrate that spatial resolution is an important factor affecting the extracted area of the floating macroalgae. Due to the complexity of Case II sea water characteristics in the Yellow Sea, a fixed threshold NDVI method is not suitable for U. prolifera monitoring. A method with adaptive ability in time and space, e.g., the threshold selection method proposed by Otsu （1979）, is needed here to obtain accurate information on the floating macroalgae.

关键词： Ulva prolifera the Yellow Sea MODIS,CCD OLI SAR NDVI

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Ensemble forecast of tropical cyclone tracks based on deep neural networks

引用

Frontiers of Earth Science 2022年第3期16卷 671-677页

作者： Chong WANG Qing XU yongcun cheng Yi PAN Hong LI Key Laboratory of Marine Hazards Forecasting(Ministry of Natural Resources) Hohai UniversityNanjing 210098China College of Marine Technology Faculty of Information Science and EngineeringOcean University of ChinaQingdao 266100China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou 511458China PIESAT Information Technology Co.Ltd. Beijing 100195China College of Harbor Coastal and Offshore EngineeringHohai UniversityNanjing 210098China Shanghai Typhoon Institute China Meteorological AdministrationShanghai 200030China

A nonlinear artificial intelligence ensemble forecast model has been developed in this paper for predicting tropical cyclone(TC)tracks based on the deep neural network(DNN)by using the 24-h forecast data from the China Meteorological Administration(CMA),Japan Meteorological Agency(JMA)and Joint Typhoon Warning Center(JTWC).Data from a total of 287 TC cases over the Northwest Pacific Ocean from 2004 to 2015 were used to train and validate the DNN based ensemble forecast(DNNEF)*** comparison of model results with Best Track data of TCs shows that the DNNEF model has a higher accuracy than any individual forecast center or the traditional ensemble forecast *** average 24-h forecast error of 82 TCs from 2016 to 2018 is 63 km,which has been reduced by 17.1%,16.0%,20.3%,and 4.6%,respectively,compared with that of CMA,JMA,JTWC,and the error-estimation based ensemble *** results indicate that the nonlinear DNNEF model has the capability of adjusting the model parameter dynamically and automatically,thus improving the accuracy and stability of TC prediction.

关键词： tropical cyclone track deep neural network ensemble forecast

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

odeling of oil spill beaching along the coast of the Bohai Sea, China

引用

Frontiers of Earth Science 2015年第4期9卷 637-641页

作者： Qing XU yongcun cheng Bingqing LIU Yongliang WEI Key Laboratory of Coastal Disasters and Defense of Ministry of Education Hohai University Nanjing 210098 China College of Harbor Coastal and Offshore Engineering Hohai University Nanjing 210098 China Center for Coastal Physical Oceanography Old Dominion University Norfolk VA 23529 USA School of Marine Sciences Nanjing University of Information Science and Technology Nanjing 210044 China College of Marine Sciences Shanghai Ocean University Shanghai 201306 China

On June 4 and 17, 201 I, two separate oil spill accidents occurred at platforms B and C of the Penglai 19- 3 oilfield located in the Bohai Sea, China. Based on the initial oil spill locations detected from the first available Synthetic Aperture Radar （SAR） image acquired on June 11, 2011, we performed a numerical experiment to simulate the potential oil spill beaching area with the General NOAA Operational Modeling Environment （GNOME） model. The model was driven by ocean surface currents from an operational ocean model （Navy Coastal Ocean Model） and surface winds from operational scatterometer measurements （the Advanced Scatterom- eter）. Under the forcing of wind and ocean currents, some of the oil spills reached land along the coast of Qinhuangdao within 12 days. The results also demonstrate that the ocean currents are likely to carry the remaining oil spills along the Bohai coast towards the northeast. The predicted oil spill beaching area was verified by reported in-situ measurements and former studies based on MODIS observations.

关键词： oil spill Bohai Sea trajectory GNOME SAR

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Assessment of theoretical approaches to derivation of internal solitary wave parameters from multi-satellite images near the Dongsha Atoll of the South China Sea

引用

Acta Oceanologica Sinica 2022年第6期41卷 137-145页

作者： Huarong Xie Qing Xu Quanan Zheng Xuejun Xiong Xiaomin Ye yongcun cheng Key Laboratory of Marine Hazards Forecasting of Ministry of Natural Resources Hohai UniversityNanjing 210098China College of Marine Technology Faculty of Information Science and EngineeringOcean University of ChinaQingdao 266100China Department of Atmospheric and Oceanic Science University of MarylandCollege ParkMaryland 20742USA First Institute of Oceanography Ministry of Natural ResourcesQingdao 266061China National Satellite Ocean Application Service State Oceanic AdministrationBeijing 100081China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou 511458China PIESAT Information Technology Co. Ltd.Beijing 100195China

This study assesses the accuracy and the applicability of the Korteweg-de Vries(KdV)and the nonlinear Schr?dinger(NLS)equation solutions to derivation of dynamic parameters of internal solitary waves(ISWs)from satellite *** band images taken by five satellite sensors with spatial resolutions from 5 m to 250 m near the Dongsha Atoll of the northern South China Sea(NSCS)are used as a *** the baseline,the amplitudes of ISWs occurring from July 10 to 13,2017 are estimated by the two approaches and compared with concurrent mooring observations for *** the ratio of the dimensionless dispersive parameter to the square of dimensionless nonlinear parameter as a criterion,the best appliable ranges of the two approaches are clearly *** statistics of total 18 cases indicate that in each 50%of cases,the KdV and the NLS approaches give more accurate estimates of ISW *** is found that the relative errors of ISW amplitudes derived from two theoretical approaches are closely associated with the logarithmic bottom *** may be attributed to the nonlinear growth of ISW amplitudes as propagating along a shoaling thermocline or *** test results using three consecutive satellite images to retrieve the ISW propagation speeds indicate that the use of multiple satellite images(>2)may improve the accuracy of retrieved phase ***,repeated multi-satellite images of ISWs can help to determine the types of ISWs if mooring data are available nearby.

关键词： internal solitary waves KdV equation NLS equation South China Sea satellite images

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Evaluation of ENVISAT ASAR data for sea surface wind retrieval in Hong Kong coastal waters of China

引用

Acta Oceanologica Sinica 2008年第4期27卷 57-62页

作者： XU Qinga LIN Hui ZHENG Quanan XIU Peng cheng yongcun LIU Yuguang Institute of Space and Earth Information Science The Chinese University of Hong Kong Hong Kong China Department of Atmospheric and Oceanic Science University of Maryland College Park Maryland USA School of Marine Science University of Maine Orono USA Institute of Meteorology PLA University of Science and Technology Nanjing 211101 China Physical Oceanography Laboratory Ocean University of China Qingdao 266100 China

The C-band wind speed retrieval models, CMOD4, CMOD - IFR2, and CMOD5 were applied to retrieval of sea surface wind speeds from ENVISAT （European environmental satellite） ASAR （advanced synthetic aperture radar） data in the coastal waters near Hong Kong during a period from October 2005 to July 2007. The retrieved wind speeds are evaluated by comparing with buoy measurements and the QuikSCAT （quick scatterometer） wind products. The results show that the CMOD4 model gives the best performance at wind speeds lower than 15 m/s. The correlation coefficients with buoy and QuikSCAT winds are 0.781 and 0.896, respectively. The root mean square errors are the same 1.74 m/s. Namely, the CMOD4 model is the best one for sea surface wind speed retrieval from ASAR data in the coastal waters near Hong Kong.

关键词： sea surface wind speed wind retrieval algorithms ENVISAT ASAR Hong Kong

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Annual and Interannual Variability of Scatterometer Ocean Surface Wind over the South China Sea

引用

Journal of Ocean University of China 2014年第2期13卷 191-197页

作者： ZHANG Guosheng XU Qing GONG Zheng cheng yongcun WANG Lei JI Qiyan Key Laboratory of Coastal Disasters and Defence Ministry of EducationHohai University College of Harbor Coastal and Offshore EngineeringHohai University State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai University National Space Institute Technical University of Denmark

To investigate the annual and interaunual variability of ocean surface wind over the South China Sea （SCS）, the vector empirical orthogonal function （VEOF） method and the Hilbert-Huang transform （HHT） method were employed to analyze a set of combined satellite scatterometer wind data during the period from December 1992 to October 2009. The merged wind data were generated from European Remote Sensing Satellite （ERS）-1/2 Scatterometer, NASA Scatterometer （NSCAT） and NASA＇s Quick Scatterometer （QuikSCAT） wind products. The first VEOF mode corresponds to a winter-summer mode which accounts for 87.3% of the total variance and represents the East Asian monsoon features. The second mode of VEOF corresponds to a spring-autumn oscil- lation which accounts for 8.3% of the total variance. To analyze the interannual variability, the annual signal was removed from the wind data set and the VEOFs of the residuals were calculated. The temporal mode of the ftrst intcrannual VEOF is correlated with the Southern Oscillation Index （SOI） with a four-month lag. The second temporal interannual VEOF mode is correlated with the SOI with no time lag. The time series of the two interannual VEOFs were decomposed using the HI-IT method and the results also show a correlation between the interannual variability and El Nino-Southern Oscillation （ENSO） events.

关键词： ocean surface wind annual and interannual variability scatterometer South China Sea

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Interannual Variability of SST,SLA and Wind Waves in the Hawaii Area and Their Responses to ENSO

引用

Journal of Ocean University of China 2008年第4期7卷 379-384页

作者： cheng yongcun XU Qing LIU Yuguang LI Chongyin RONG Zengzui ZONG Haibo XIU Peng YIN Xiaobin Institute of Meteorolog.v PLA University of Science and Technology Nanjing 211101 P. R. China Institute of Space and Earth Information Science The Chinese University of Hong Kong Hong Kong P. R. China Physical Oceanography Laboratonry Ocean University of China Qingdao 266100 P R. China LASG Institute of Atmospheric Physics Chinese Academy of Seiences Beijig 100029 P R. China School of Marine Science UniversiO of Maine Maine 04469 USA National Microwave Remote Sensing Laboratory Center for Space Science and Applied Research Chinese Academy of Sciences Beijing 100080 P R. China

Time series of sea surface temperature （SST）, wind speed and significant wave height （SWH） from meteorological buoys of the National Data Buoy Center （NDBC） are useful for studying the interannual variability and trend of these quantities at the buoy areas. The measurements from 4 buoys （B51001, B51002, B51003 and B51004） in the Hawaii area are used to study the responses of the quantities to El Nino and Southern Oscillation （ENSO）. Long-term averages of these data reflect precise seasonal and climatological characteristics of SST, wind speed and SWH around the Hawaii area. Buoy observations from B51001 suggest a significant warming trend which is, however, not very clear from the other three buoys. Compared with the variability of SST and SWH, the wind speeds from the buoy observations show an increasing trend. The impacts of EI Nifio on SST and wind waves are also shown. Sea level data observed by altimeter during October 1992 to September 2006 are analyzed to investigate the variability of sea level in the Hawaii area. The results also show an increasing trend in sea level anomaly （SLA）. The low-passed SLA in the Hawaii area is consistent with the inverse phase of the low-passed SOI （Southern Oscillation Index）. Compared with the low-passed SOl and PDO （Pacific Decadal Oscillation）, the low-passed PNA （Pacific-North America Index） has a better correlation with the low-passed SEA in the Hawaii area.

关键词： sea surface temperature wind waves ENSO: sea level anomaly

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

伴随同化技术在渤、黄海生态模式中的应用：控制变量的选取与孪生实验

引用

高技术通讯 2006年第1期16卷 78-83页

作者：徐青刘玉光程永存吕咸青中国海洋大学物理海洋实验室青岛266003 解放军理工大学气象学院南京211101

在渤、黄海海域建立了物理海洋模型与NPZD生态模型的耦合模型，就伴随同化技术应用中如何从众多模型参数中选择控制变量的难题做了深入研究。研究发现，对于渤、黄海海区的NPZD模型，除了用传统的方法选取控制变量之外，代价函数关于模... 详细信息

在渤、黄海海域建立了物理海洋模型与NPZD生态模型的耦合模型，就伴随同化技术应用中如何从众多模型参数中选择控制变量的难题做了深入研究。研究发现，对于渤、黄海海区的NPZD模型，除了用传统的方法选取控制变量之外，代价函数关于模型参数的梯度信息也可以作为选取控制变量的标准之一，这从另一个角度解决了如何确定控制变量的问题。另外，通过孪生实验验证了在渤、黄海NPZD生态模式中使用伴随同化技术同化水色遥感数据的可行性，这为以后将水色卫星遥感数据同化到海洋生态模型中奠定了基础。

关键词：伴随同化控制变量敏感性分析生态模型孪生实验

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

道桥防水施工路基面处理工艺与设备

引用

中国建筑防水 2008年第5期 32-36页

作者：程永存上海晶湛机电有限公司上海200331

分析了道桥防水施工路基面处理的目的和意义,介绍了道桥防水施工路基面处理工艺与设备,提出了应重视道桥路基面处理和发展国产设备的建议。

关键词：道桥防水施工路基面处理抛丸机铣刨机凿毛机

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

海洋遥感彩色图像中的海洋数据读取技术

引用

高技术通讯 2007年第6期17卷 638-642页

作者：宗海波刘玉光荣增瑞韩树宗程永存中国海洋大学海洋环境学院青岛266003 中国人民解放军理工大学气象学院南京211101

基于对海洋遥感彩色图像的像素点数据矩阵的理解,提出了一种基于MATLAB软件的海洋遥感数据读取技术。依据这项技术,用户可以从卫星遥感获取的各种海洋要素彩色图像中读取对应于各个像素点的海洋要素数据。在MATLAB软件中,图像是由像素... 详细信息

基于对海洋遥感彩色图像的像素点数据矩阵的理解,提出了一种基于MATLAB软件的海洋遥感数据读取技术。依据这项技术,用户可以从卫星遥感获取的各种海洋要素彩色图像中读取对应于各个像素点的海洋要素数据。在MATLAB软件中,图像是由像素点构成的,全部图像信息均以矩阵的形式存储和运算。一幅图像可能包含一个数据矩阵和一个颜色映射表矩阵。用户可使用MATLAB软件读入图像,并通过所读取图像中包含的数据矩阵和颜色映射表矩阵,将图像区域中的像素点的颜色与色标中的颜色进行比较来获得像素点所表示的海洋要素数据。以一幅东中国海海域的海表面温度（SST）彩色图像实例说明了如何应用该技术来提高遥感彩色图像信息的读取能力。

关键词：彩色图像数据矩阵海表面温度数据读取技术 MATLAB软件

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：