耿达短水准异常与汶川8.0级地震

结合龙门山断裂带其他跨断层资料,对耿达短水准在汶川8.0级地震前后的观测资料进行了重新分析,发现耿达短水准在汶川地震前后的异常为当地居民修建生活小区所致,不应视为地震前兆异常。     

水准仪向全站仪过渡中的一些技术方法

水准测量通常是精确测量高程的方法,但在丘陵和山区则受到限制,由于地形起伏较大,工作起来费时、费力,又因为测站数较多,测量精度同时受到较大影响。随着科学技术的不断发展,光电测距仪、全站仪的普遍应用,三角高程导线的测量精度有了很大的提高,通常可以达到水准测量精度,但至今没有形成一个完整的系列,能否代替水准测量众说纷纭。     

浅析土地信息系统的数据特征

土地信息系统所处理的对象是空间数据源,包括图形信息、属性信息与声像信息,这些信息来源于土地利用现状调查、土地测量、土地登记、土地统计和土地资源的动态监测等。土地信息系统的建立,要按照现行的土地管理制度,满足有关的规程与规范的要求,以数据录入、数据存储、数据处理及信息成果的输出等方面需要具备以下基本特征。     

七星河盆地北部煤炭资源调查项目转入钻探施工阶段

7月28日,我省七星河盆地北部煤炭资源调查项目完成了二维地震测量任务,转入钻探施工阶段。     

基于小波变换选择的海底沉积物声速分析技术

海底沉积物物理特性参数的研究对海洋资源开发、海底工程建设、海地测绘、海洋灾害预报、海底历史研究、航运国防等具有重要意义.它可由对出海采样的样品直接进行土工实验获取,或者经测量得到的声学特性参数表征.目前海底沉积物探测主要以声学测量为主,通过接收透射、反射、折射的声波后提取出声学特性而成,包括压缩波速、切变波速(液体不存在)、声波阻抗、声衰减.针对传统的走时法由于人工读取起跳点造成声速的精确度不高这一特点,引出小波分析方法读取起跳点,应用小波分解原始信号得到的细节信号的模极大值连线来确定原始信号的畸变点,从而确定为接收声信号的起跳点以计算声速.     

正交解调及复自相关频率估计在海流测量中的应用

正交解调技术在使用复自相关算法进行频率估计中具有非常重要的作用,简要介绍了正交解调技术和复自相关算法在声学多普勒海流计中的应用.     

对“海域使用分类体系”的几点思考

文章在分析海域使用分类体系制定背景与意义的基础上,指出海域使用分类体系遵循的基本原则,并探讨和分析了新的海域使用分类体系设置及调整的主要内容,对与其他相关管理工作的衔接关系进行了简要分析和总结.     

A coupled multi-category sea ice model and POM for Baffin Bay and the Labrador Sea

An overview of the seasonal variation of sea-ice cover in Baffin Bay and the Labrador Sea is given. A coupled ice-ocean model, CECOM, has been developed to study the seasonal variation and associated ice-ocean processes. The sea-ice component of the model is a multi-category ice model in which mean concentration and thickness are expressed in terms of a thickness distribution function. Ten categories of ice thickness are specified in the model. Sea ice is coupled dynamically and thermodynamically to the Princeton Ocean Model. Selected results from the model including the seasonal variation of sea ice in Baffin Bay, the North Water polynya and ice growth and melt over the Labrador Shelf are presented.     

Contribution of a pathway through the Arctic Ocean to the re cent reduction in the ice cover

The sea ice cover in the Arctic Ocean has been reducing and hit the low record in the summer of 2007. The anomaly was extremely large in the Pacific sector. The sea level height in the Bering Sea vs. the Greenland Sea has been analyzed and compared with the current meter data through the Bering Strait. A recent peak existed as a consequence of atmospheric circulation and is considered to contribute to inflow of the Pacific Water into the Arctic Basin. The timing of the Pacific Water inflow matched with the sea ice reduction in the Pacific sector and suggests a significant increase in heat flux. This component should be included in the model prediction for answering the question when the Arctic sea ice becomes a seasonal ice cover.     

A coupled ice-ocean ecosystem model for 1-D and 3-D applications in the Bering and Chukchi Seas

Primary production in the Bering and Chukchi Seas is strongly influenced by the annual cycle of sea ice. Here pelagic and sea ice algal ecosystems coexist and interact with each other. Ecosystem modeling of sea ice associated phytoplankton blooms has been understudied compared to open water ecosystem model applications. This study introduces a general coupled ice-ocean ecosystem model with equations and parameters for 1-D and 3-D applications that is based on 1-D coupled ice-ocean ecosystem model development in the landfast ice in the Chukchi Sea and marginal ice zone of Bering Sea. The biological model includes both pelagic and sea ice algal habitats with 10 compartments： three phytoplankton （pelagic diatom, flagellates and ice algae： D, F, and Ai） , three zooplankton （copepods, large zooplankton, and microzooplankton ： ZS, ZL, ZP） , three nutrients （ nitrate ＋ nitrite, ammonium, silicon ： NO3 , NH4, Si） and detritus （Det）. The coupling of the biological models with physical ocean models is straightforward with just the addition of the advection and diffusion terms to the ecosystem model. The coupling with a multi-category sea ice model requires the same calculation of the sea ice ecosystem model in each ice thickness category and the redistribution between categories caused by both dynamic and thermodynamic forcing as in the physical model. Phytoplankton and ice algal self-shading effect is the sole feedback from the ecosystem model to the physical model.