Seasonal Stratification Characteristics of Vertical Profiles of Water Body in Lake Lugu

For the purpose of exploring seasonal stratification characteristics of water hydrochemistry, the seasonal dynamics and vertical thermal stratification of water temperature in Lake Lugu, the vertical profiles of water temperature (Temp), Electrical Conductivity (EC), Dissolved Oxygen (DO), pH and Chlorophyll-a (Chl-a) of Lake Lugu were monitored in January, April, July and October 2015, respectively. The results indicated that water body of Lake Lugu appeared thermal stratification in spring, summer and autumn, however, in winter, the water temperature in vertical direction was homogeneous. The thermocline was located between 10 and 25 m, nevertheless, it moved down to range from 20 to 30 m in autumn. In addition, water temperature in hypolimnion was maintained almost as a constant and consistent with annual temperature, indicating water body was stable all along. The results showed that the thermal stratification had some influences on vertical distributions of DO, EC, pH and Chl-a. The significant stratification of DO, EC and pH was found, especially in summer, DO and pH values in thermocline peaked due to greatly stable thermal stratification and temperature increase. In hypolimnion, DO concentration and pH value were very small. Moreover, Chl-a concentration was higher in the surface and lower in the bottom water, implying that human should be highly alter to prevent the emergence of a large area of algae in Lake Lugu. EC took on decreasing variation, besides, lower in the thermocline. While,Lugu Lake water salinity was lower and substantially constant (~ 0.10‰), without considering the effects of salinity, both in vertical sections and in epilimnion, thermocline and hypolimnion, there all existed a simple linear function of the relationship between EC andwater temperature, showing that Lugu Lake was affected by natural climate and keeps natural state.     

高速铁路无砟轨道分段测量的数据处理研究

为保障高速铁路建设质量和运营安全,铁路行业规范规定,上道检测轨道的轨道几何状态测量仪需要通过标准轨道检验场进行技术认证。目前国内外关于标准轨道检验场的相关研究成果鲜有报道。本文针对高速铁路无砟轨道每隔50~70 m分段测量模式,提出了顾及非重叠区测点的轨道分段测量数据平顺连接方法,以重叠区轨道点的竖向和横向偏差为测站修正模型的约束条件,分别建立了每个测站的轨道点修正模型,对每个测站所有轨道测点进行了修正,以提高调整后轨道点的精度。在参与标准轨道检验场建设的实践中,采用精密机械量具进行了轨道点的更高精度测量,以比较评价新的分段连接方法和现有方法的测量结果。试验表明,新方法调整后的轨道点不仅保持了现有方法提高重叠区测点精度的优点,而且还能使非重叠区测点的精度提高为现有方法的2.6倍。研究成果对相关技术标准、规范的制定和轨道几何状态测量仪的研发具有参考价值。     

Ensemble numerical forecasts of the sporadic Kuroshio water intrusion (kyucho) into shelf and coastal waters

The finite volume coastal ocean model downscaling ocean reanalysis and forecast data provided by the Japan Coastal Ocean Predictability Experiment (JCOPE2) are used to forecast sudden Kuroshio water intrusion events (kyucho) induced by frontal waves amplified south of the Bungo Channel in 2010. Two-month hindcast computations give initial conditions of the following 3-month forecasts computations which consist of ten ensemble members. The temperature time series computed by these ten members are averaged to compare with that actually observed in the Bungo Channel, where sudden temperature rises related to kyucho events are remarkable in February, August, and September. Overall, the intense kyucho events actually observed in these months are predicted successfully. However, intense kyucho events are forecasted frequently during the period of May through June even though intense kyucho events are absent during this period in the actual ocean. It is suggested that the present downscaling forecast model requires reliable lateral boundary conditions provided by JCOPE2 data to which numerous Argo data are assimilated to enhance the accuracy. In addition, it seems likely that the model accuracy is reduced by small eddies moving along the shelf break.     

青藏高原大气热源气候特征的研究

用NCEP/NCAR再分析资料和小波分析方法分析研究了1950-2005年青藏高原大气热源气候特征和变化特征,主要结论包括:(1)夏季青藏高原东部大气热源的强度明显较西部大.6月份,高原东部热源的强度是高原西部的近两倍,7月份的值也比西部大了40%以上.(2)青藏高原全区、东部和西部逐年平均的大气热源有明显不同的变化特征.高原全区年平均大气热源的变化主要是一个14年的时间尺度;高原东部不仅有14年的主要时间变化尺度,同时还有一个非常显著的2.6年的时间变化尺度;高原西部则不同,是一个不明显的1-2年的时间尺度.     

焊接机器人图形仿真系统中的三维建模

在AutoCAD2004环境下,以VBA为二次开发工具,实行VBA和MATLAB的混合编程,把 MATLAB作为后台矩阵计算引擎,成功地进行了焊接机器人计算机图形仿真系统的三维建模,从 而为仿真系统的开发打下基础。     

Comparison of environmental responding strategies between Ulva prolifera and Sargassum horneri: an in-situ study during the co-occurrence of green tides and golden tides in the Yellow Sea,China in 2017

Journal of Oceanology and Limnology - Large-scale green tides in the Yellow Sea occurred for 13 consecutive years since 2007. The unusual co-occurrence of green tides and golden tides occurred in...     

银河系中探测第一代恒星的几率

第一代恒星是形成于宇宙大爆炸后的原始气体中的、不含重于碳元素的、寿命大于14Gyr的、迄今尚未演化的最古老的恒星.长期的观测结果表明银河系中尚未发现金属丰度([Fe/H])为零、甚至金属丰度[Fe/H]≤-6的恒星.为解释这一观察现象,将以Tsuiimoto等人提出的银晕的化学演化模型为基础,假设形成第一代恒星的初始质量函数具有Miller-Scalo的形式,从理论上预言和讨论探测第一代恒星的可能性.利用已有的晕星的观测资料限定模型的参数.如果形成恒星的云的质量为106M-107M,模型结果预言探测到第一代恒星的几率为6.14×10-4-6.14×10-5.     

Natural Heritage value of Xinjiang Tianshan and global comparative analysis

Xinjiang Tianshan is a serial natural property that has been nominated for World Heritage status.This paper presents a systematically comprehensive and comparative analysis of the heritage resources of Xinjiang Tianshan according to the World Heritage criteria.Its biological,ecological and aesthetic values,which are of global importance, are documented.It is concluded that Xinjiang Tianshan meets the world heritage criteria(vii)and (ix).Xinjiang Tianshan is compared with other mountain world heritage sites,mountains in Central Asia,the Tianshan Mountains outside China,and with the protected areas of the Tianshan Mountains on the Tentative List for World Heritage Sites,so as to provide objective data for the world heritage application.     

Effects of dissolved oxygen and nutrients from the Kuroshio on hypoxia off the Changjiang River estuary

Journal of Oceanology and Limnology - The intrusion of the Kuroshio into the East China Sea (ECS) affects the development of hypoxia off the Changjiang (Yangtze) River estuary; however,...     

基于多源海事数据的大型船舶精细化分段乘潮研究

针对大型船舶长航道乘潮进港窗口期时长不充足问题,本文提出了基于船舶自动识别系统（Automatic Identification System,AIS）数据、港口潮汐数据、官方电子海图数据和航道地理位置数据等多源海事数据的大型船舶长航道精细化分段乘潮模型。首先,基于AIS数据采用K中心点算法对大型船舶乘潮航行行为特征进行挖掘,识别出大型船舶乘潮航迹关键点,计算大型船舶乘潮航行行为变化关键船位点。接着,结合长航道地理环境特征和大型船舶航行行为特征对长航道进行精细化分段,在此基础上基于港口潮汐数据构建大型船舶精细化分段乘潮窗口期计算模型。其次,设计乘潮历时自适应排列算法求解大型船舶乘潮最长窗口期;然后,以黄骅港综合港区航道为例验证了本文所提出的精细化分段乘潮模型。最后,基于电子海图数据利用地理信息系统平台实现大型船舶精细化分段乘潮三维动态推演,进一步验证大型船舶精细化分段乘潮航行的安全性。结果表明,该模型能够有效增加大型船舶乘潮进港窗口期时长,提高大型船舶乘潮进港效率,可为港航管理部门制定大型船舶进港计划提供理论指导。