Evaluation of ENVISAT ASAR data for sea surface wind retrieval in Hong Kong coastal waters of China

The C-band wind speed retrieval models, CMOD4, CMOD - IFR2, and CMOD5 were applied to retrieval of sea surface wind speeds from ENVISAT （European environmental satellite） ASAR （advanced synthetic aperture radar） data in the coastal waters near Hong Kong during a period from October 2005 to July 2007. The retrieved wind speeds are evaluated by comparing with buoy measurements and the QuikSCAT （quick scatterometer） wind products. The results show that the CMOD4 model gives the best performance at wind speeds lower than 15 m/s. The correlation coefficients with buoy and QuikSCAT winds are 0.781 and 0.896, respectively. The root mean square errors are the same 1.74 m/s. Namely, the CMOD4 model is the best one for sea surface wind speed retrieval from ASAR data in the coastal waters near Hong Kong.     

Evaluation of Inference Adequacy in Cumulative Logistic Regression Models: An Empirical Validation of ISWRidge Relationships

Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p 〈0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to cheek the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height （X1 ） and potential energy （X2 ） significantly impact （p 〈 0. 0001 ） the amplitude-based refleeted rate; the P-values for the deviance and Pearson are all 〉 0.05 （0.2839, 0.3438, respectively）. That is, the goodness-of-fit between ridge height （ X1 ） and potential energy （X2） can further predict parameters under the scenario of the best parsimonious model. Investigation of 6 predictive powers （ R2, Max-rescaled R^2, Sorners＇ D, Gamma, Tau-a, and c, respectively） indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.     

Evaluation of Inference Adequacy in Cumulative Logistic Regression Models： An Empirical Validation of ISW-Ridge Relationships

Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p<0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to check the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height (X1) and potential energy (X2) significantly impact (p<0.0001) the amplitude-based reflected rate; the P-values for the deviance and Pearson are all >0.05 (0.2839, 0.3438, respectively). That is, the goodness-of-fit between ridge height (X1) and potential energy (X2) can further predict parameters under the scenario of the best parsimonious model.Investigation of 6 predictive powers (R2, Max-rescaled R2, Somers'D, Gamma, Tau-a, and c, respectively) indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.     

莱州湾南岸第三陆相层年龄的铀系等时线法（TSD）测定

于莱州湾南岸ZK32-1钻孔第三陆相层上下边界处选取自生钙质结核,采用样品全溶铀系等时线法(TSD法)测定钙质结核的年龄。测试结果表明,所有等时线上的数据都有很好的线性关系,表明所获得的年龄数据是合理的。通过对样品代表性的讨论,说明所选取的钙质结核的年龄确可代表其所在地层的年龄,从而得出莱州湾南岸第三陆相层的沉积起止时间为72.16ka B.P.±7.41ka B.P.到45.34ka B.P.±5.35ka B.P.的结论。本研究首次获得莱州湾南岸地层的铀系TSD年龄,为全面认识该地区晚更新世地层年代学提供了一个新视角。     

垂直梯度法与最优分割法确定温跃层边界的比较分析

垂直梯度法是跃层示性特征计算中普遍使用的方法,但在某些情况下并不能很好地描述海洋要素的跃变特征.针对垂直梯度法的不足,引入水团分析中的最优分割法,对典型剖面,以及边界型、逆变型、多层型等几类特殊剖面的跃层边界分别进行了计算,并对垂直梯度法与垂直梯度法的计算结果进行了比较分析,结果表明最优分割法确定的跃层边界更为合理.通过对两种方法确定的中国近海温跃层的整体分布进行比较分析,证明了最优分割法能够弥补垂直梯度法在计算深海与浅海过渡区中的跃层时遇到的标准不匹配问题,较好地保持跃层的连续性.     

黄河水下三角洲海底管道沉降量确定方法研究

提出一种海底管道沉降计算方法——递推法,应用到胜利油田埕岛海域海底管道沉降计算中,并将计算结果与目前常用的日本规范法和极限法进行比较。研究发现在粉土与粉质粘土为主的强度较高的海床上,递推法与日本规范法计算结果比较接近,极限法的最小;在淤泥质土组成的强度较低的海床上,日本规范法的计算值最大,递推法的居中,极限法的最小。逆推法可计算裸置和埋设两种形式的管道沉降量,而另外两者只能计算裸置管道的沉降。文中进一步讨论了引起管道沉降的影响因素,土体强度和压缩性对管道沉降影响较大。且管道埋深越大,沉降也越大。最后分析了黄河水下三角洲埕岛海域4个区的管道沉降量,Ⅰ区争Ⅱ区管道沉降较小,可以忽略,Ⅳ区沉降较大,在淤泥质软土上的管道,可能会完全陷入土中。     

最优插值方法在西北太平洋海温同化中的应用研究

本文开发出一套与三维温盐流数值模式POM相匹配的最优插值数值同化模块,具有将船舶报资料和Argo海温数据加入数值模拟的能力.利用该同化系统,本文对2001～2002年进行了数值模拟试验,通过模拟结果和未加入同化的模拟结果的对比表明,该同化系统能有效地改进三维海温模拟结果,使之更为接近于观测值.     

支持向量机在海洋随机资料分析中的应用

在随机海洋资料的分析中,需要从大量的实际数据中提取出有用的信息来建立或检验各种海洋理论模型,因此我们要正确运用适当的手段来分析处理各种实际数据。文中简要介绍了数据挖掘中一项新的技术支持向量机,着重介绍了最优化问题的求解算法,以及如何应用于海洋资料的分析处理。     

广西红树林湿地资源非使用价值评估

采用条件价值法,通过支付意愿调查,对广西红树林湿地的非使用价值进行了评估.结果表明,广西红树林的非使用价值为37.61亿元,其中存在价值16.66亿元;遗产价值10.94亿元;选择价值10.00亿元.广西红树林人均支付意愿值为50元.总支付意愿率为59.2%;除年龄与支付意愿无关外,性别、职业、文化程度、技术职称、收入水平、了解程度、偏爱程度等都与支付意愿呈极显著相关关系;性别与WTP值相关,但不显著,而其他因素与WTP值呈现极显著相关.     

基于灰色关联度分析的沿海省(市)海洋循环经济评价研究

界定了海洋循环经济概念的内涵和外延,系统地提出了海洋循环经济评价指标体系,采用熵值法确定评价指标体系的权重,研究并建立了基于灰色关联度分析的评价模型,运用模型对2005年我国沿海省市海洋循环经济运行情况进行定量分析,得出排序结果.