Landslide susceptibility mapping for a landslide-prone area (Findikli,NE of Turkey) by likelihood-frequency ratio and weighted linear combination models

Landslides are very common natural problems in the Black Sea Region of Turkey due to the steep topography, improper use of land cover and adverse climatic conditions for landslides. In the western part of region, many studies have been carried out especially in the last decade for landslide susceptibility mapping using different evaluation methods such as deterministic approach, landslide distribution, qualitative, statistical and distribution-free analyses. The purpose of this study is to produce landslide susceptibility maps of a landslide-prone area (Findikli district, Rize) located at the eastern part of the Black Sea Region of Turkey by likelihood frequency ratio (LRM) model and weighted linear combination (WLC) model and to compare the results obtained. For this purpose, landslide inventory map of the area were prepared for the years of 1983 and 1995 by detailed field surveys and aerial-photography studies. Slope angle, slope aspect, lithology, distance from drainage lines, distance from roads and the land-cover of the study area are considered as the landslide-conditioning parameters. The differences between the susceptibility maps derived by the LRM and the WLC models are relatively minor when broad-based classifications are taken into account. However, the WLC map showed more details but the other map produced by LRM model produced weak results. The reason for this result is considered to be the fact that the majority of pixels in the LRM map have high values than the WLC-derived susceptibility map. In order to validate the two susceptibility maps, both of them were compared with the landslide inventory map. Although the landslides do not exist in the very high susceptibility class of the both maps, 79% of the landslides fall into the high and very high susceptibility zones of the WLC map while this is 49% for the LRM map. This shows that the WLC model exhibited higher performance than the LRM model.     

高桩码头桩基负摩擦力现场试验研究 ——上海洋山深水港工程现场试验

高桩码头接岸结构中的桩基础,在抛石的作用下将产生负摩擦力。通过支撑桩及自由桩上负摩擦力的现场试验研究,获得抛石过程中基桩内力随深度变化的基本规律。抛石过程中基桩上的负摩擦力主要产生在抛石段。同时,抛石作为附加荷载,将引起下方软弱土层的固结沉降,桩土之间产生相对位移,从而在抛石段下方一定范围内也产生负摩擦力作用。承台荷载对负摩擦力的大小和分布有着重要的影响。提出的负摩擦力分布规律和采用有效应力法计算层状土负摩擦力的公式,可为桩基础的设计,尤其对水下单面抛石施工的设计及采取消减负摩擦力的措施提供依据。     

A fuzzy approach to the lectotype optimization of offshore platforms

Lectotype optimization of offshore platforms is of particular importance in the concept design process. Lectotype optimization involves multiple objectives with uncertainty and so is a problem of multiple attribute decision making. To date, there have been few published works on this topic in the context of offshore engineering. This paper develops a framework and methodology for evaluation of offshore platform alternatives, where a fuzzy optimum model is proposed to integrate the influence of each objective in the criteria set, and a new weight-assessing method is developed to mimic the decision maker’s experience and preference based on complementary pairwise comparisons. A case study shows that the new framework and methodology is scientific, reasonable and easy to use in practice.     

关于海水网箱养殖系统风险评估的基础研究

随着海水网箱养殖业的迅速发展,制约海水网箱养殖发展的种种因素也逐步显露出来(风暴潮等恶劣气候、环境污染、人为的破坏等等),海水网箱养殖在预期获得丰厚利润的同时也面临遭受巨大损失的风险。本文对海水网箱养殖系统风险评估的可操作性进行了基础研究,提出了一套适合海水网箱养殖系统的风险评估方法,并就数据的收集和专家评审表做了一些研究,以此客观的反映系统的安全性和可靠性,使决策者实现对养殖系统生命周期的最佳控制。     

南海毛蚶形态特征对体重的相关分析

随机选取同龄南海毛蚶Scapharca subcrenata雌性62只、雄性59只,测量壳长、壳厚、壳高、后闭壳肌直径、放射肋数及活体重。采用通径分析方法研究南海毛蚶5个形态特征对体重的总效应,并以综合决定系数为确定形态性状重要性的准则。结果表明,两性中壳厚、壳高和壳长与体重均为正相关(p<0.01),直接和间接途径都不是体重的限制因素。壳厚、壳高的平均综合决定系数分别为0.423和0.412,是影响体重最主要因素且都具有育种意义。     

基于决策树的我国农业数据挖掘分析

决策树是用于分类的常用建模方法。首先对分类的概念和决策树方法分别进行了总体介绍,在此基础上对我国30个省市自治区的乡村劳动力、耕地面积以及农业总产值信息数据进行了挖掘分析,在运用决策树对数据进行分类过程中对连续数据采用聚类分析的方法进行离散化处理,从而避免了原始经验分类方法的主观性。最后,通过上述决策树分类方法,生成我国农业情况的决策树,获得相关空间分类规则,并对其进行分析说明。结果表明,决策树分类方法适合我国农业情况。     

史前连续文化聚落的决策树分类挖掘研究——以郑州-洛阳地区为例

利用C4.5决策树分类算法和GIS组件Super Map Objects,开发实现了基于连续文化序列的空间数据挖掘系统,运用此系统对郑州-洛阳地区史前四个连续文化时期的聚落进行了数据挖掘,提取了聚落遗址面积的分类规则,并根据这些分类规则和聚落的空间分布情况对四个文化时期的I级聚落进行对比分析,得出了I级聚落的空间分布特点,即I级聚落中的一些特大面积的聚落朝着中心聚落的方向发展。     

变形分析的神经网络技术应用实例

大型工程施工过程中的变形监测、分析与预报极为重要。变形分析建模的方法很多,神经网络技术的应用是其中之一。文中结合某深基坑工程的监测资料和工作经验,运用神经网络BP算法进行预测分析。简述BP神经网络的基本概念,介绍基坑变形分析的BP神经网络的具体模型结构,将神经网络方法预报结果与实测数据对比效果较好。该成果对生产实践具有参考价值。     

框架预应力锚杆边坡支护结构的稳定性分析方法及其 应用

以边坡极限平衡理论及框架预应力锚杆边坡支护结构的圆弧滑动破坏模式为基础,在考虑框架、锚杆对土体边坡稳定性影响的情况下,基于圆弧滑动条分法的思想利用积分法建立了内部稳定性安全系数计算模型和最危险滑移面搜索模型。确定滑移面圆心坐标为几何控制参数,推导了安全系数计算模型中各变量与滑移面圆心坐标之间的函数关系式,从而获得了滑移面几何控制参数与内部稳定性安全系数之间的函数关系。利用网格法对框架预应力锚杆支护结构最危险滑移面的圆心坐标进行动态搜索和求解。最后采用Matlab语言编制了框架预应力锚杆边坡支护结构的稳定性分析程序,并结合工程实例进行了验算,讨论了此种方法的适用条件,结果表明该方法简明适用,较传统的经验分析方法更加合理。