The Numerical Simulation of Wind Waves in Xiamen Bay

深水区的波浪在向近区岸传播的过程中，由于受到水深地形变化、能量耗散、底摩擦、水流等因素的作用，发生反射、折射、绕射、波浪破碎、浅水变形和非线性效应等现象。波浪是港口海岸工程设计中最为重要的动力因素之一，与水流的相互作用引起海底泥沙输运，不仅影响了近岸的环境变化，对浅海生产作业和海岸工程建设规划（如港口建设、河口治理、岸滩防护等）、海上输运、水产养殖、滨海企业和海洋旅游等等的建设发展也造成了很大影响。随着沿海地区社会经济的不断发展，人类海岸地活动的日趋频繁，沿海工程项目的数量越来越多，投资规模越来越大，工程项目的分险性也越来越引起人们的高度重视，这些都对近岸波浪等海洋环境要素的精确预测提出了更高...When wave propagate the shallow area from deepwater, many phenomena will occur due to the different effect of submarine topography, energy dissipate, bottom friction and current etc, such as reflection, refraction, diffraction, wave breaking, shoaling transformation , non-linearity wave-wave interaction and so on. Since the sediment will be transferred by interaction with tide, wave is one of the...学位：理学硕士院系专业：海洋与环境学院海洋学系_物理海洋学学号：20042700

Study of remote sensing monitoring and comparison of green tide in the Yellow Sea based on VB-FAH index

Most current monitoring methods are based on single remote sensing data, and thus have considerable limitations. To compensate for spatial resolution and time resolution deficiencies, multi-source remote sensing data are used to capture the green tide(large green algae-Ulva prolifera)in the Yellow Sea in 2015 and 2016. Data are then monitored and analyzed through the VB-FAH index and a manual assisted interpretation method. Monitoring results of GF-1 WFV and CBERS-04 WFI are then compared with two scene synchronous images, and results of ship monitoring and satellite image monitoring are also compared. Results show that compared with GF-1 WFV data, monitoring results of CBERS-04 WFI data produce a relative deviation of 15.3%~37.32%; this is mainly attributed to the mixed pixel effect caused by the different spatial resolution. By superimposing the monitoring results of satellite images on measured data for comparison and analysis, it is found that the relative monitoring accuracy is higher above grade III. The green tide outbreak lasts about 100 days, from late April to early May. It initially appears in the turbidity zone of the Northern Jiangsu Shoal, and external factors enable it to gradually reach suitable growth conditions. It then continues to grow until it becomes an outbreak, and then flows northwards by the Yellow Sea surface flow until it finally arrives on the southern coast of the Shandong Peninsula. July and August are the extinction stages of the green tide and by mid-August it has almost completely disappeared. Results of this study can be used to improve monitoring accuracy and provide effective information support for the prevention and control of green tide.</p

The Relationship Between Theoretical Depth Datum and Tidal Diffusion Analysis in Jiulongjiang Estuary

根据2006年3月九龙江河口区6个潮位观测站的周月资料,参考2000年2月的潮汐数据,对比分析河口区潮汐特征的经年变化,并探讨了潮波衰减模数μ与底摩阻作用的关系.分析表明九龙江河口区的潮汐性质属正规半日潮,2006年数据推算的理论最低潮面与2000年同期数据推算结果相比普遍偏低,上游河段降低幅度大于下游,沿程理论最低潮面变化幅度趋缓;潮波振幅衰减模数μ值减小了2.5~5.5倍.产生变化的原因是九龙江河口区平面自然状态和水深地形特征的改变,为河床底高降低、底坡趋于平缓、底质的变化;这些变化可能与上游河段采沙、造航、围垦等人类的开发活动有关.Based on more than one month long observations at six tidal gauges in the Jiulongjiang Estuary in February 2000 and in March 2006,respectively,tidal changes in spring were compared and analyzed,and then the relationship between tidal attenuation coefficient μ and the bottom friction were discussed.Analysis indicates that tidal type in Jiulongjiang Estuary is characterized by informal semi-diurnal tides.Compared with the theoretical depth datum in 2000,the theoretical depth datum in 2006 depressed,and the decrease in the upriver reach was more than that in the downriver reach.By comparison,it was also found that the tidal attenuation coefficient μ in 2006 was reduced by 60%~80% relative to that in 2000,which can be ascribed to the landform changes in the Jiulongjiang Estuary,including the riverbed lowering,the base slope smoothing,and the changes in sediment component.These changes may be related to human activities in the upstream such as sand excavation,reclamation,and so on

Spatial and temporal distribution characteristic of green tides in the Yellow Sea in 2016 based on MODIS data

本研究利用高分辨率的GF-1卫星影像对MODIS数据绿潮监测的精度进行验证,并在此基础上利用MODIS数据对2016年黄海绿潮过程进行连续动态监测,结果表明：相较于GF-1卫星影像,MODIS数据对绿潮的监测误差高于50%;2016年黄海绿潮移动路径总体呈先向北,然后沿山东半岛海岸线向东北方向移动,并最终停滞于青岛、威海附近海域;此次绿潮持续时间为80天左右,并呈现出与往年类似的“出现→发展→暴发→治理→消亡”的规律;其中“出现”的时间为5月12日,“发展”阶段时间为5月中下旬,此时绿潮主体分布于苏北浑水区,适宜前置打捞治理,当5月底6月初绿潮进入清水区之后才开始进入“暴发”阶段,本年度绿潮灾害“暴发”规模较大,对山东沿海水产养殖业及旅游业影响严重。本研究成果对于绿潮预警和防控具有科学和实际意义

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies