全球船舶压载水管理项目在我国启动

为了防止全球船舶压舱水中的有害水生物在海洋中传播,危害海洋生态环境,造成海洋污染,2000年9月20日～21日,我国召开了关于制定船舶压载水管理国家项目工作计划和宣传项目研讨会。据悉,国际海事组织近年来一直在努力采取措施,制订有关法规,并将在2002年召开大会予以通过。届时,关于船舶压载水的管理规定将成为全球强制性要求。     

向阳圩海塘围堰堤坝沉降特性原位实测及稳定性分析

以上海市向阳圩海塘围堰主堤为工程背景，在大量原位实测的基础上通过对各测试结果的统计分析研究了软土海滩围堰堤坝及地基沉降位移特性。结果表明：围堰堤坝及地基沉降具有显著的时效特性，沉降与时间的相关关系可用负指数时效特性曲线拟合；各测点位移值随时间具有明显突变变化，整个沉降时域可分为快速沉降时域区及缓慢沉降时域区。同时，在充分考察了沉降速率随时间变化特性的前提下提出了用该参量预测堤坝稳定时间及最终沉降位移的建议。     

MATHEMATICAL MODEL FOR WAVE DIFFRACTION OF GAP BREAKWATER

By combining the singularity distributions method in mathematical-physical equation with the phenomenon of water surface oscillation, two kinds of wave diffraction model of gap breakwater are recommended for preliminary port planning and designing.     

黄海海域陆相中生界油气远景

黄海海域油气勘探已40余载，尚未实现油气突破，其找油前景引起石油地质学家的极大关注。根据前人的认识和最新研究成果，结合邻区油气地化资料，探讨了黄海海域中生界地层生、储、盖特征，特别是白垩系，它分布广，厚度大，烃源岩达到较好生油岩标准，并且生、储、盖组合理想，中生界是该区下部油气勘探首选目标。     

好氧颗粒污泥系统快速启动试验研究

采用3组圆柱型SBR反应器进行活性污泥颗粒化培养,接种浓度分别为12 500mg.L-1,4 400mg.L-1和1 800mg.L-1。由于采用逐步缩短沉降时间这一有效措施,系统启动20d后,颗粒污泥初步形成,污泥浓度可达到6 000~8 000mg.L-1,高于普通活性污泥系统,且沉降性能良好,SVI值在50mL.g-1左右。颗粒污泥的平均粒径稳定在0.2~0.25mm。在活性污泥颗粒化的启动试验中,在生物化学条件相同的条件下,逐步缩短沉淀时间可以加快好氧污泥颗粒化系统的启动。     

An ecological study on the fouling organisms in Yantai Harbour

Yantai Harbour (37°33′15″N , 121°23′42″E) is situated at the north coast of Shandong Peninsula and is a large fishing and commercial port of North China. From June 1983 to May 1984, a yearly panel test on fouling organisms was carried out at the non-fixed jetties in the inner and outer harbour. The test method was according to "the Marine Survey     

Effects of sediment properties on surface-generated ambient noise in a shallow ocean

Surface-generalized ambient noise in a shallow ocean waveguide with a sediment layer possessing a specific class of density and sound speed distributions capable of describing a realistic seabed environment is considered in this analysis. This class of non-uniform sediment layer has the density and sound speed distributions varying with respect to depth as a generalized-exponential and an inverse-square function, respectively. The study invokes a formulation developed by Kuperman and Ingenito (Kuperman, W. A., Ingenito, F., 1980. Spatial correlation of surface-generated noise in a stratified ocean. J. Acoust. Soc. Am., 67, 1988-1996.) for surface noise generation, in conjunction with the analytical solutions for the Helmholtz equation corresponding to the sediment layer, to arrive at an analytical expression convenient for numerical implementation. The intensity and spatial correlation of the noise sound field are analyzed with respect to the variation of the system parameters, including frequency, sediment layer thickness, sound speed gradient, with emphasis on the effects of sediment properties on the ambient noise field. The results have demonstrated that the intensity of the noise field is relatively sensitive to the variation of the parameters, but the spatial correlation is affected to a less extent, suggesting that the energy distribution, rather than the spatial structure, of the noise field is more susceptible to the environmental variations.     

乙酰褐藻酸丙二酯的制备与表征

为了改变褐藻酸丙二酯的溶解性,本文以氢碘酸为催化剂,将褐藻酸丙二酯与乙酐反应,制备了乙酰褐藻酸丙二酯。生成物不溶于水,可溶于多种中等极性的有机溶剂。本文用IR,~1H-NMR,HGPC对其进行了表征,并对反应条件对产率的影响进行了探讨。     

诊断台风异常路径的三层权重控制点方案

本方案采用850、700、500hPa三个层次的环境平均流场作控制点法。综合考虑这些层次上的引导气流在不同时、空域中的相对重要性。试验结果表明,其效果比单一取某层作引导为佳。且对用来预测台风的未来24小时路径是否异常具有一定的参考价值。     

Neural network for wave forecasting among multi-stations

Unlike in the open sea, the use of wind information for forecasting waves may encounter more ambiguous uncertainties in the coastal or harbor area due to the influence of complicated geometric configurations. Thus this paper attempts to forecast the waves based on learning the characteristics of observed waves, rather than the use of the wind information. This is reported in this paper by the application of the artificial neural network (ANN), in which the back-propagation algorithm is employed in the learning process for obtaining the desired results. This model evaluated the interconnection weights among multi-stations based on the previous short-term data, from which a time series of waves at a station can be generated for forecasting or data supplement based on using the neighbor stations data. Field data are used for testing the applicability of the ANN model. The results show that the ANN model performs well for both wave forecasting and data supplement when using a short-term observed wave data.