玻尿酸合成酶的鲨鱼源单域抗体筛选

在鲨鱼等软骨鱼类体内存在天然的缺失轻链、仅包含重链的抗体,源于这种重链抗体可变区的片段称为单域抗体(single domain antibody)。目前单域抗体研究中的抗原主要来源于水溶性蛋白或病原体,筛选膜蛋白鲨鱼源单域抗体的领域接近空白。本研究以重组表达的小球藻病毒玻尿酸合成酶(一种膜蛋白)为抗原,经过免疫、建库、淘选、验证等步骤获得了抗原特异性条纹斑竹鲨(Chiloscyllium plagiosum)单域抗体序列。随后利用大肠杆菌表达了该单域抗体,通过等温滴定量热技术(ITC)测定了其与抗原的亲和力,证实了以膜蛋白作为抗原制备鲨鱼源单域抗体的可行性。     

深水钢悬链立管疲劳寿命评估分析

在时域内分析深水钢悬链立管在平台运动和波流载荷共同作用下的非线性动力响应;采用雨流计数法处理立管节点应力的时间历程,选用DoE.E型S-N曲线分析立管在单一海况和平台运动联合作用下的疲劳损伤;将各方向含概率分布的疲劳损伤进行叠加,得到立管整体的全方向疲劳损伤及疲劳寿命。平台的运动为六自由度的运动预报数据,波流载荷由某海域实际的波浪统计数据采用Morison公式计算所得。计算结果表明钢悬链立管疲劳寿命的极值点分别位于悬挂点附近和触地点附近,对立管疲劳寿命极值点各方向疲劳损伤分布情况进行了分析。所提方法为钢悬链立管疲劳分析提供了新思路,给出的结论对钢悬链立管设计分析有一定借鉴意义。     

海洋平台抛锚方式模糊优化设计方法

海上钻井平台由于工作地点经常发生变化,工作环境条件随之改变,锚泊抛锚方式就要相应更改。本文针对深海半潜平台及其悬链线式系泊定位系统,运用平台与锚链耦合运动时域分析方法,对其水动力性能进行探索,并提出一种运用模糊算法计算平台抛锚方式优化设计方法,此方法可使钻井平台在风暴自存工况和钻井工作工况下更快更好地找到最佳抛锚方式。以一典型的半潜式钻井平台为例进行数值模拟,结果表明本文提出的方法是可行的,能够很方便地找到比较好的抛锚方式来满足相关要求。这种锚泊优化设计方法可为平台及其系泊系统设计提供参考。     

谱模拟方法在高分辨率地震资料处理中的应用

为了克服地震子波的时变影响,避免复杂的时窗大小选取问题,使得谱模拟方法能更好地适应地震信号是平稳信号的假设条件,将改进S变换与谱模拟方法相结合,形成时频域谱模拟方法。在二维时频谱中进行谱模拟处理,该方法能够克服地震子波随地层深度变化的限制。理论模型及实际资料处理效果显示,时频域谱模拟方法能够有效提高地震分辨率,实现地震资料的高分辨处理。     

水中电偶极子空中磁场响应的一维频率域分析

海洋电磁中浅海作业由于受到空气波的干扰而难于进行,而如果于空中接收电偶极子的磁场响应则可避免空气波的干扰,是一种新的海洋电磁勘探思路。用一维频率域程序,对水中电偶极子在空中的磁场响应进行了计算分析,比较了海底有高阻异常层和低阻异常层时空中磁场响应的变化规律。分别计算测线布置、发射信号频、海水深度、异常储层埋深、异常储层厚度、储层电阻率、空中测量高度等多种因素对空中磁场响应的影响,结果表明,海底有低阻层时空中磁场有更强的响应,归一化幅度异常变化约为10%~60%,而海底有高阻异常储层时响应较弱,归一化异幅度常变化约为2%~8%。因此海洋电磁勘探中于空中接收磁场的模式,更适合浅海区低阻矿产资源的大面积调查。     

会泽型(HZT)富锗银铅锌矿床成矿构造动力学研究及年代学约束

川-滇-黔多金属成矿域是会泽型(HZT)富锗银铅锌矿床的主要分布区。近十年来,该类矿床成矿时代及其成矿构造动力学一直是该区研究的主要热点之一。针对铅锌矿床准确定年的难题,首次综合应用地质推断-构造变形筛分-构造古应力系统测量-同位素定年技术,提出冲断褶皱构造形成时代与矿床成矿时代一致,其主体时代为印支晚期(2.0~2.3亿年)。研究认为,该期发生的铅锌多金属成矿作用是川-滇-黔接壤区重要的地质事件,其成矿构造动力学为印支晚期特提斯洋闭合与造山作用在扬子地块西南缘前陆盆地诱发强烈的斜冲走滑,形成一系列冲断褶皱构造带,并发生流体大规模运移,在有利的构造部位形成一批大型-超大型矿床。该认识对深化川-滇-黔多金属成矿域铅锌矿床成矿模型、优选找矿标志、圈定重点找矿靶区和实现找矿突破具有现实意义。     

甚宽频带地震计频域标定的噪声数据处理方法

分析了频域标定中的噪声及传统数据处理方法，提出数据处理的本质是噪声处理的观点，探讨了不同噪声的不同处理方法，详细研究了长周期非线性漂移的噪声处理方法，有效地提高了频域标定精度。     

Using time‐domain reflectometry to characterize shallow solute transport in an oak woodland hillslope in northern California,USA

The natural heterogeneity of water and solute movement in hillslope soils makes it difficult to accurately characterize the transport of surface‐applied pollutants without first gathering spatially distributed hydrological data. This study examined the application of time‐domain reflectometry (TDR) to measure solute transport in hillslopes. Three different plot designs were used to examine the transport of a conservative tracer in the first 50 cm of a moderately sloping soil. In the first plot, which was designed to examine spatial variability in vertical transport in a 1·2 m² plot, a single probe per meter was found to adequately characterize vertical solute travel times. In addition, a dye and excavation study in this plot revealed lateral preferential flow in small macropores and a transport pattern where solute is focused vertically into preferential flow pathways. The bypass flow delivers solute deeper in the soil, where lateral flow occurs. The second plot, designed to capture both vertical and lateral flow, provided additional evidence confirming the flow patterns identified in the excavation of the first plot. The third plot was designed to examine lateral flow and once again preferential flow of the tracer was observed. In one instance rapid solute transport in this plot was estimated to occur in as little as 3% of the available pore space. Finally, it was demonstrated that the soil anisotropy, although partially responsible for lateral subsurface transport, may also homogenize the transport response across the hillslope by decreasing vertical solute spreading. Copyright © 2002 John Wiley & Sons, Ltd.     

A Bayesian network approach for predicting seismic liquefaction based on interpretive structural modeling

The Bayesian network (BN) is a type of graphical network based on probabilistic inference that has been gradually applied to assessment of seismic liquefaction potential. However, how to construct a robust BN remains underexplored in this field. This paper aims to present an efficient hybrid approach combining domain knowledge and data to construct a BN that facilitates the integration of multiple factors and the quantification of uncertainties within a network model to assess seismic liquefaction. Initially, only using given domain knowledge, a naive network model can be constructed using interpretive structural modeling. Thereafter, some effective information about the naive model is provided to construct a robust model using structural learning of BN from historic data. Finally, the returning predictive results and the predictive results are compared to other methods including non-probabilistic and probabilistic models for seismic liquefaction using the metrics of the overall accuracy, the area under the curve of receiver operating characteristic, prediction, recall and F₁ score. The methodology proposed in this paper achieved better performance, and we discussed the power and value of the proposed approach at the end of this paper, which suggest that BN is a good alternative tool for seismic liquefaction prediction.     

3维场景植被冠层多波段模拟研究进展

植被冠层辐射散射信号中蕴含了丰富的植被信息,通过构建植被冠层辐射散射模型,可以实现植被结构等生物物理参数的遥感定量反演。迄今为止,可见光/近红外、热红外、微波波段均已发展了大量的模型,这些模型在参数反演方面各具优势,但不同波段的模型又有其自身的局限性。跨波段的联合模拟可以实现模型间的优势互补,进而提高地表参数的反演精度,近年来已有学者专注于可见光/近红外与热红外模型,热红外与微波模型,主被动微波模型,以及可见光/近红外与微波模型的联合模拟和协同反演,但多是两两联合,且主要是基于经验模型或解析模型。基于3维场景的植被冠层辐射散射特性模拟模型可以细致刻画不同组分的结构和空间分布特征,对于由植被结构引起的多次散射和组分比例变化的考虑具有优势。本文主要介绍了3维模拟模型在可见光/近红外、热红外和微波波段,以及跨波段联合模拟方面的研究进展,从模型机理、场景统一、以及组分理化参数的统一的角度,探讨了构建多波段3维模拟系统的可行性,展望了多波段3维模拟模型的发展趋势。