用实测波浪数据确定JONSWAP谱参数

本文给出应用实测波浪数据确定JONSWAP谱参数的方法，若Hs,Tz,Tc分别为实的有效波高，平均上跨零线周期，平均峰－峰周期并令y=Tz/Tc，本文导出求解谱参数γ值的方程f（γ，y）＝0。根据这个方程的解并应用最小二乘法，γ作为y的函数的表达式可写为（对于2.54≤γ≤15.34及1.6≤y≤1.79）。     

分子云ORION—IL的CH3CN Jk=6k—5k谱线的观测

使用名古屋大学４米毫米波射电望远镜于１９９５年１月对对分子云ＯＲＩＯＮ－ＩＬ区域的ＣＨ３ＣＮＪｋ＝６ｋ－５ｋ谱线进行了观测，得到了该区域的５点的谱线。该谱线的观测为青海站１３．７米毫米波射电望远镜提供了又一条可供观测的分子谱线。     

S－闭空间上的函数

研究了当Ｘ为Ｓ－闭空间时，Ｃ（Ｘ）的子集Ｆ为紧的充要条件，从而扩充了著名的Ａｓｃｏｌｉ定理。     

SIMULATION AND PREDICTION OF DEBRIS FLOW USING ARTIFICIAL NEURAL NETWORK

Debris flow is one of the most destructive phenomena of natural hazards. Recently, major natural haz-ard, claiming human lives and assets, is due to debris flow in the world. Several practical methods for forecasting de-bris flow have been proposed, however, the accuracy of these methods is not high enough for practical use because of the stochastic and non-linear characteristics of debris flow. Artificial neural network has proven to be feasible and use-fill in developing models for nonlinear systems. On the other hand, predicting the future behavior based on a time se-ries of collected historical data is also an important tool in many scientific applications. In this study we present a three-layer feed-forward neural network model to forecast surge of debris flow according to the time series data collect-ed in the Jiangjia Ravine, situated in north part of Yunnan Province of China. The simulation and prediction of debris flow using the proposed approach shows this model is feasible, however, further studies are needed.     

Characters of the Pco2 and CO2 Flux in the East China Sea in Autumn

Pco2 of air and seawater samples from the East China Sea(ECS) were measured in situ in autumn, 1994,Ocean currents,terrestrial fluviation,biological activities,etc.,Pco2 char-acters in air and seawater were investigated,CO2 flux and its character in the East China Sea are discussed on the basis of the Pco2 profiles of air and seawater,It was clear that the nearshore was the source of CO2;and tht the oulter sea area was the sink of CO2; and that the shelf area of the EXS is a net sink for atmospheric CO2 in autumn.     

有限元法与伪谱法混合求解弹性波动方程

在地震波场数值模拟中,有限差分法、有限元法和伪谱法都是常用的基本方法,但它们各有不同的适应性和优缺点,如有限差分法、有限元法都存在减弱网格频散和提高计算效率的矛盾,而伪谱法的网格频散小且计算效率高.有限差分法和伪谱法在处理地表结构复杂或地表剧烈起伏以及地下结构复杂的情况时存在较大的难度,而有限元法可较为理想地拟合起伏地表和任意弯曲界面,且可方便地处理自由边界条件和界面边界条件.尝试将有限元法和伪谱法相结合,形成地震波场数值模拟的一种混合方法,利用二者的优点,克服二者的缺点,达到既减弱网格频散又提高计算精度和效率的目的.并采用所谓的‘过度区域‘技术解决两种不同算法的衔接问题.模拟实例表明,给出的混合模拟方法不失为弹性波场数值模拟的一种有效方法.