基于聚类有效性函数的面状地理实体聚类

为解决聚类数未知条件下面状地理实体的聚类问题,文中提出了一种基于聚类有效性函数的聚类方法。给出了适合面状地理实体k-中心点聚类算法的聚类有效性函数;将该有效性函数改写为适应度函数,设计了基于遗传算法的面状地理实体聚类算法。该算法在计算聚类数的同时能得到划分聚类结果。实验结果从一定程度上反映了数据集的结构信息特征。     

基于改进遗传算法的公路桥梁损伤程度标定的两阶段法

提出了基于改进遗传算法的公路桥梁损伤程度标定的两阶段法。第一阶段:应用静应变残差进行损伤定位;第二阶段:基于已经识别出的损伤位置,利用改进的遗传算法进行损伤程度的标定。两阶段方法有效地克服了同时进行常规的损伤位置识别和损伤程度的标定的收敛速度慢、存储空间大及可能误标定等问题。某三跨连续桥梁应用分析发现,在已知很少实测数据的情况下,对损伤程度的识别取得较理想的效果,证实了基于改进遗传算法的两阶段法用于损伤程度的识别具有更高的效率,更好的灵敏度、稳定性和可靠性。     

基于遗传算法的叠前地震波形反演构建虚拟井曲线

叠前地震波形反演能够提供详细的地下地层特征，但由于其计算量大、数据和模型之间的非线性、目标函数的多极值和反演结果的多解性使叠前地震反演的实施成为一大难点。本文通过叠前和叠后混合反演技术采用遗传算法实现了深海无井地震反演。遗传算法思想简单、易于实现和使用、具有隐含并行性和全局搜索能力等优点，基于遗传算法的叠前地震波形反演得到了与井中实际数据基本吻合的速度和密度数据。     

资源卫星（可见光）遥感数据获取任务调度优化算法研究

从资源卫星（可见光）遥感数据获取任务调度的影响因子分析入手,在研究国外相关遥感任务调度算法的基础上,提出了基于目标的卫星遥感任务调度算法规则,并依据该规则研究建立了算法实现流程,以解决用户需求和星地资源使用约束之间的冲突,从而有效地满足用户对遥感数据的需求。     

潜育型砂岩铀矿化的地球化学特征、成因机理及找矿模式探讨──以红井铀矿床为例

产于红色碎屑岩中的红井铀矿床是潜育型砂岩铀矿化的一个典型例子。本文通过对红井铀矿床地球化学特征的研究,探讨了该类铀矿化的成因机理,并提出了“红层-断裂-油气-铀源”“四位一体”的找矿模式。     

1994年9月16日台湾海峡7.3级地震震源过程的研究

采用数字化台网Ｐ波波形资料及台湾台网Ｐ波初动方向资料,研究了１９９４年９月１６日台湾海峡７３级地震及邻近地区（北纬２１～２６°,东经１１５～１２０°）ＭＬ≥５８级共５次地震的矩张量解及震源参数。结果表明,这次７３级地震的矩张量解以双力偶成分为主,是断层面接近ＮＷ走向的正断层。断层面的走向与大震前地震的条带分布走向及余震分布显示的破裂图象较相象,震源机制的张应力轴接近水平,近ＮＥ走向;压应力轴几乎垂直,近ＮＷＷ走向,似乎表明这次地震是受菲律海板块向欧亚板块北西向挤压的力源控制。从Ｐ轴接近竖直而Ｔ轴接近水平来看,发震断层为强烈拉张性正断层,可能还同时存在垂直向上的应力作用。其它４个强震的震源机制解与７３级大震的差别较大。这些地震震源机制解的复杂性,表明台湾海峡地震序列的发展过程比较复杂。     

衡山界牌倾滑韧性剪切带的变形特征与应变分析

本文在前人工作的基础上,通过大量的第一手资料,对衡山界牌倾滑韧性剪切带（以下简称该带）的分带、变形特征、形成环境进行了探讨;对该带的几何学、运动学特点进行了分析,计算了该带的变应程度和位移量,并探讨了该带的成因及演化模式。     

Seasonal growth in brown trout in two New Zealand streams

Brown trout Salmo trutta Linn, were marked with individual tags and recaptured throughout a year in two small Canterbury streams. The growth recorded showed a marked seasonal variation which differed in pattern in the two streams. There was a considerable difference in the growth rate between the two populations and fish transferred from the slow‐growth stream to the faster‐growth stream showed an immediate response to the change.     

A fuzzy dynamic flood routing model for natural channels

A fuzzy dynamic flood routing model (FDFRM) for natural channels is presented, wherein the flood wave can be approximated to a monoclinal wave. This study is based on modification of an earlier published work by the same authors, where the nature of the wave was of gravity type. Momentum equation of the dynamic wave model is replaced by a fuzzy rule based model, while retaining the continuity equation in its complete form. Hence, the FDFRM gets rid of the assumptions associated with the momentum equation. Also, it overcomes the necessity of calculating friction slope (S_f) in flood routing and hence the associated uncertainties are eliminated. The fuzzy rule based model is developed on an equation for wave velocity, which is obtained in terms of discontinuities in the gradient of flow parameters. The channel reach is divided into a number of approximately uniform sub‐reaches. Training set required for development of the fuzzy rule based model for each sub‐reach is obtained from discharge‐area relationship at its mean section. For highly heterogeneous sub‐reaches, optimized fuzzy rule based models are obtained by means of a neuro‐fuzzy algorithm. For demonstration, the FDFRM is applied to flood routing problems in a fictitious channel with single uniform reach, in a fictitious channel with two uniform sub‐reaches and also in a natural channel with a number of approximately uniform sub‐reaches. It is observed that in cases of the fictitious channels, the FDFRM outputs match well with those of an implicit numerical model (INM), which solves the dynamic wave equations using an implicit numerical scheme. For the natural channel, the FDFRM outputs are comparable to those of the HEC‐RAS model. Copyright © 2009 John Wiley & Sons, Ltd.