A straightforward approach for using single time domain simulations to assess characteristic extreme responses

Short-term wave design approach of marine structures, using nonlinear time domain simulations, is a design procedure that is recognized by various modern standard codes. One of the most challenging points of this approach is the evaluation of the characteristic extreme values for response parameters used in the design check equations. The most straightforward and recommended way to evaluate a response characteristic value is by fitting an extreme value probability distribution to the N-sample of extreme values extracted from N independent time domain simulations with duration equal to the short-term period indicated by the code, which is usually taken as 3 h. However, this procedure would not be practical for some types of marine structures, such as risers and mooring lines, under numerous design load cases and demanding huge finite element models. A more feasible approach would be to assess the response extreme value distribution using only a single short-term time domain simulation with duration shorter than 3 h. But reduced time simulations always introduce some additional statistical uncertainty into the extreme values estimates. This paper discusses a workable way of properly taking into account the statistical uncertainty associated with the simulation length in the assessment of a characteristic short-term extreme response value based on a single time series.     

REE, Mn, Fe, Mg and C, O Isotopic Geochemistry of Calcites from Furong Tin Deposit, South China: Evidence for the Genesis of the Hydrothermal Ore-forming Fluids

The Furong tin deposit in the central Nanling region, South China, consists of three main types of mineralization ores, i.e. skarn-, altered granite- and greisen-type ores, hosted in Carboniferous and Permian strata and Mesozoic granitic intrusions. Calcite is the dominant gangue mineral intergrown with ore bodies in the orefield. We have carried out REE, Mn, Fe, and Mg geochemical and C, and O isotopic studies on calcites to constrain the source and evolution of the ore-forming fluids. The calcites from the Furong deposit exhibit middle negative Eu anomaly (Eu/Eu*= 0.311–0.921), except for one which has an Eu/Eu* of 1.10, with the total REE content of 5.49–133 ppm. The results show that the calcites are characterized by two types of REE distribution patterns: a LREE-enriched pattern and a flat REE pattern. The LREE-enriched pattern of calcites accompanying greisen-type ore and skarn-type ore are similar to those of Qitianling granite. The REE, Mn, Fe, and Mg abundances of calcites exhibit a decreasing tendency from granite rock mass to wall rock, i.e. these abundances of calcites associated with altered granite-type and greisen-type ores are higher than those associated with skarn-type ores. The calcites from primary ores in the Furong deposit show large variation in carbon and oxygen isotopic compositions. The δ¹³C and δ¹⁸O of calcites are −0.4 to −12.7‰ and 2.8 to 16.4‰, respectively, and mainly fall within the range between mantle or magmatic carbon and marine carbonate. The calcites from greisen and altered granite ores in the Furong deposit display a negative correlation in the diagram of δ¹³C versus δ¹⁸O, probably owing to the CO₂-degassing of the ore-forming fluids. From the intrusion to wall-rock, the calcites display an increasing tendency with respect to δ¹³C values. This implies that the carbon isotopic compositions of the ore-bearing fluids have progressively changed from domination by magmatic carbon to sedimentary carbonate carbon. In combination with other geological and geochemical data, we suggest that the ore-forming fluids represent magmatic origin. We believe that the fluids exsolved from fractionation of the granitic magma, accompanying magmatism of the Qitianling granite complex, were involved in the mineralization of the Furong tin polymetallic deposit.     

基于信息扩散理论的气象灾害风险评价方法

探讨了以灾害样本为集值的基于信息扩散的模糊数学理论模型的气象灾害风险评价方法,利用西北五省区主要农作物旱灾面积资料,对西北农业旱灾进行风险评价实例分析,通过比较表明西北农业受旱指数,成灾指数发生灾损的概率风险估计值与实际农业旱灾较吻合,该方法对灾害样本少以及小区域范围的灾害风险评价也较适合。     

纳滤分离铝锂过程研究

本文探讨了纳滤分离Al~(3+)和Li~+的可行性,研究了含盐量和铝锂比对分离效率的影响,提出了从锂云母浸出液中分离回收锂的新方法。实验结果表明,纳滤膜对Al~(3+)和Li~+的截留率随含盐量的升高而降低,其中Li~+始终呈现负浓度梯度扩散的趋势,而Al~(3+)的截留率始终稳定在99%以上。当含盐量为45 g/L时,铝锂分离因子最高可达248.33,膜面相应Zeta电位的绝对值达到最大。随着溶液中铝锂比的变化,Al~(3+)和Li~+的截留率分别在不同铝锂比的条件下出现拐点,溶液的pH呈现先下降后上升最后下降的复杂趋势。本实验研究发现,DK膜能够在酸性环境下实现高效的铝锂分离和锂的浓缩,从而为锂云母浸出液中锂的提取提供新的思路。     

义马新安煤矿特大型奥灰突水的治理

采用“上阻、中栏、下堵”的立体堵水方法，封堵了义马新安煤矿1995年11月5日发生的特大型（4257m3／h）奥灰突水通道，解放被淹矿井，堵水效果良好。     

面向对象的高分辨率影像单值分类耕地提取方法研究

遥感技术已广泛地应用于土地覆盖/土地利用分类中。在专题应用中,用户只对某一类地物感兴趣,例如耕地提取,即单类别分类问题。随着影像分辨率的提高,基于像元的分类算法难以满足高分辨率影像高精度信息提取的需求。本文采用结合面向对象分类思想和基于正样本、未标记样本遥感单值（PUL）分类方法从多源高分辨率影像中提取耕地信息,并与基于像素的分类实验进行对比分析。结果表明,在缺少部分地类的不完全训练集下,基于面向对象的单值分类较传统神经网络分类有更较稳定的表现,并且远优于基于像素的分类结果。     

黄河沙漠宽谷段水沙变化特征及驱动因素

根据定位观测、第一次全国水利普查、遥感影像解译的数据,利用MWP、双累计曲线、水土保持分析法、数学模拟等方法,分析了黄河上游水沙变化特征,评估了多元驱动因素对2000-2012年黄河下河沿-头道拐沙漠宽谷段水沙变化的贡献率。结果表明:与20世纪70年代以前的基准期相比,2000年以来径流量、输沙量同步减少,水沙关系也发生变化,单位径流量的输沙量明显减少;沙漠宽谷段径流量减幅沿程不断增加而输沙量减幅沿程变化不大,水沙年内分配较基准期发生倒置,来沙系数不断减小;灌区引水引沙、水土保持措施、水库拦沙、支流来水来沙、水库调蓄及河道冲淤是沙漠宽谷段水沙变化的主要影响因子;经济社会发展用水对沙漠宽谷段径流量减少的作用最大,贡献率为81%,其次是水库蓄泄量,占15%以上;水库拦沙对头道拐输沙量减少的贡献率最大,占41%,其次是支流水土保持措施,贡献率约占13%,入黄风沙减少的贡献率并不大,约为6%,而河道淤积量、灌区引沙量较基准期都是减少的,贡献率分别约为-41%和-8%;近10多年来降雨等自然因素对水沙变化的作用相对不大,起主要作用的是水库运用、水土保持、经济社会发展等人类活动因素。     

基于MGR模型修正我国大陆中强以上地震的震级-频度关系和确定震级极限值div

从理论上推导了修正的古登堡-里克特模型的震级上限的确定方法, 应用常用的两种模型对我国分区域进行了震级-频度关系的修正和震级极限值的确定. 结果表明, 我国大陆存在非线性的震级-频度关系, 传统的NGR模型不能反映非线性的震级-频度关系, 而MGR模型能反映适合非线性和线性的震级-频度关系, 因此MGR模型适合我国各研究区中强以上地震的震级-频度关系. 当震级 频度关系为非线性时, 用MGR模型确定的震级极限值较准确．      

水库诱生的孔压变化及应力特征

应用“固结问题和布辛涅斯克问题解”,计算了丹江水库水位在130m和157m两种情况下,库区基岩体深度分别为1、3、5、7、9、11、13和15km时的水压应力场、变形场和超孔隙水压力场。结果表明,σ_1、σ_3和τ_(max)在库中心位置最大,库岸边较小;同时σ_1和σ_3在库中心均显压性,而在库岸边σ_3显张性;垂直位移在库中心最大(7cm),而水平位移在库岸边最大(0.5cm);超孔隙水压力一般在库中心深水区库基下3—9km处最大,库岸边和浅水区较小;体应变一般在库中心位置形成压缩区,而在库岸边则形成拉伸应变区并同时向四周扩展,与诱发地震震中分布相一致。     

数字地图生产流程中质量的数据控制

本文将着重讨论在ISO9001质量控制体系下、数字地图生产流程中影响地图质量的各类数据文件的设定与控制,从而进一步探讨在电子出版系统及CTP系统中,数字地图生产规范化、标准化、程序化作业的质量控制内容及方法。