秦皇岛昌黎黄金海岸的沙丘沉积和发育机理

昌黎黄金海岸长40km，分布1～1．5km宽的风成沙丘。主沙丘链高30～40m，顺岸线分布，与其斜交数列新月形横向沙丘链。沙丘以中细砂组成，分选极好，层理构造十分丰富。距今3～4ka以前，沙坝形成时就开始形成沙丘；1915年滦河新三角洲发育以来增加了风沙的输沙量，增高沙丘和扩宽了沙丘带。     

0516号热带风暴过程分析

利用气象海洋数据资料和卫星遥感图片,分析研究了2005年第16号热带气旋"韦森特"(VICENTE)的特征,从最先的初始扰动到自身环流的分裂发展重组过程,以至当时周围相对应的大气环流,发现该热带气旋活动过程具有很多特性。对其移动过程进行的综合分析表明,只要存在合适距离等一定有利的条件,弱的两个涡旋之间完全可以发生强的作用力,高空辐散场的抽气作用对气旋的发展有极好的作用,所得的结论可对今后的预报提供一些启示和参考。     

黄河三角洲河道沉积规律研究Ⅱ. 建林边滩沉积作用机理

通过对建林边滩沉积物粒度分布、粒度参数及水体流变性质的分析，阐述了黄河三角洲上河道水流属于牵引流范畴，与低含沙水流无本质上的差别，并探讨沉积物搬运和沉积的基本特征。     

东太湖茭草区网围养鱼模式试验研究

根据东太湖茭草区资源及环境特点,开展网围养鱼模式试验,结果表明：（1）经济效益明显,产投比1．2—1．5；（2）有良好生态效应,防治湖泊沼泽化和茭草区水质恶化；（3）社会效益显著,解决湖区剩余劳动力和城市居民吃鱼难的问题；（4）利于湖泊资源管理和保护。     

河口变形效应与涌潮的形成

作者采用非线性潮波方程,假定河口的宽度B(x)和深度h(x)是任意可微函数,导出了涌潮发生的条件,并讨论了各种变形情况下涌潮的形成。得出结论是,在涌潮形成过程中起决定作用的是浅水非线性效应,而河口变形效应则是起促进作用的。     

江苏省主要湖泊的降水量与湖泊的降水效应

本文分析了江苏境内主要湖泊的降水量特征,揭示了长江是江苏各湖泊不同降水量特征的一条十分明显的天然界线;估算了太湖的降水效应,并据此推估出江苏主要湖泊的降水效应不太明显;江苏各湖泊的降水量与其水位年过程趋势相似,只是后者位相滞后于前者而已。     

Summer Arctic sea fog

I~IOXSea fog is a kind of dangerous weather. Chinese sea fog experts, Wang Binhua (1983),Hu Ruijin and Zhou Faxiu (1998) and Hu Jifu et al. (1996) studied sea fog rather Systematically. FOreign Experts also Paid great attention to sea fog. Ernlnons and Montgomery(1974), chipper (1994) and Rayrnond et al. (1989) have studied sea fog thorOUghly.HOwever, studies on Arctic sea ice have rarely been carried Out becauSe of the sever environment and less htnnan activity in the region. There …     

黄骅沿海赤潮发生机制的初步探讨

报道了黄骅沿海赤潮发生的过程和形成赤潮的生物种类及造成的危害,并对赤潮成因作了初步分析。     

Optimum Sample Size to Detect Perturbation Effects: The Importance of Statistical Power Analysis – A Critique

Abstract. The current article describes statistical power analysis as an efficient strategy for the estimation of the optimum sample size. The principle aim is constructively to criticise and enrich the results presented by Mouillot et al. (1999) , who estimate the optimum sample size for evaluating possible perturbations. The authors did not make any reference to statistical power analysis, even though their objective clearly went beyond a simple stock evaluation to assess management strategies in a particular marine ecosystem. Surprisingly, they proposed (a priori) an ANOVA design to test a hypothesis considering both space and temporal scales. However, the authors did not cover important topics related with power analysis and the precautionary principle, both used into environment impact assessment programmes for marine ecosystems. Based on their results and on statistical power analysis, it is demonstrated that the variability (dispersion statistics), a key factor they used to estimate the sample size, is less relevant than the magnitude of perturbation (effect size). Therefore, a greater effort must be devoted to estimate the effect size of a particular phenomenon rather than a desired variability.