Chemical composition and Pb(Ⅱ) binding of dissolved organic matter in a hypersaline lake in China

Dissolved organic matter(DOM) plays a vital role in promoting carbon and nutrient cycling.It is a food source for organisms and controls the migration and transformation of trace metals and other contaminants in aquatic systems. The contributions of aquatic DOM to the environment and ecology of a system are closely related to its abundance and chemical structure. In this study, the chemical composition and binding properties of DOM in a hypersaline lake watershed were investigated for the first ...     

塔里木盆地塔河油田奥陶系数字岩心图像中生物扰动的定量表征*

生物扰动对塔里木盆地塔河油田奥陶系碳酸盐岩“基质储集体”储集性能的改造效应具有重要影响。以塔河油田奥陶系岩心为研究对象,利用Adobe^® Photoshop^® CS6软件提供的生物扰动数字图像分析软件包,对岩心数字图像中生物扰动区域进行了识别和定量表征。结果表明: (1)在生物扰动数字图像分析软件包提供的方法中,“相似像素选择法”和“魔棒法”是对生物扰动识别与定量表征最为有效的方法,但二者适用范围不同;(2)“相似像素选择法”适用于生物扰动程度较大,单个形体相对较小且离散度相对较高的情况:当生物扰动充填物和围岩基质边界对比度较大时,应用“选取相似”操作效果最好;而当生物扰动充填物和围岩基质边界对比度较小时,应用“色彩范围”操作识别效果最好;这2种操作都仅能执行1次;(3)“魔棒法”对于识别生物扰动区域形体大而分布连续,且充填物颜色不同的情况具有独到优势;该方法可以通过多次重复操作以及调整“容差”来提高生物扰动区域与围岩基质的识别度。该研究对从生物成因角度解释碳酸盐岩“基质储集体”的非均质性与分布规律、实现增强储集性能生物扰动属性表征、丰富海相碳酸盐岩储集层地质学理论、指导该类油气藏远景勘探和储量计算以及选择合理的开发方案等具有重要意义。     

Semiannual velocity variations around the 2008 Mw 7.9 Wenchuan Earthquake fault zone revealed by ambient noise and ACROSS active source data

We continuously monitor the long-term seismic velocity variation of one of the major ruptured faults of the devastating 2008 Mw7.9 Wenchuan earthquake in China from July 2009 to January 2012,jointly using accurately controlled routinely operated signal system active source and seismic noise-based monitoring technique.Our measurements show that the temporal velocity change is not homogeneous and highly localized in the damaged fault zone and the adjacent areas.Velocity variations from the active and passive methods are quite consistent,which both are characterized by ±0.2 % seasonal variation,with peak and trough at winter and summer,respectively.The periodic velocity variation within fault zone exhibits remarkably positive correlation with barometric pressure with stress sensitivity in the order of 10-6Pa-1,suggesting that the plausible mechanism might be the crack density variation of the shallow subsurface medium of the damaged fault zone in response to the cyclic barometric pressure loading.     

地裂缝场地建筑结构动力响应特征及抗震设防研究

为研究地震作用下地裂缝场地建筑结构的动力响应特征,以西安地裂缝场地为研究背景,分别考虑独立基础、片筏基础、桩基础和桩筏基础上的框架结构,对结构峰值加速度、层间位移等动力响应特征及其影响因素和影响规律进行系统研究。研究结果表明：(1)地裂缝附近场地上的结构加速度响应和层间位移响应具有明显的放大效应,动力响应峰值随着距地裂缝距离的增大逐渐减小,最终趋于稳定,放大效应的影响范围约为24 m,此范围内的结构需提高抗震设防水平;(2)结构的峰值加速度随层高的增大而增大,整体呈现出“S”形,层间位移角随层高的增大先增大后减小,二者均表现出明显的“上盘效应”,即上盘结构响应强于下盘,且随着输入地震动强度的增大,上、下盘结构动力响应差异进一步扩大,上盘效应愈发显著;(3)片筏基础、桩基础和桩筏基础结构的加速度响应接近,而独立基础结构的加速度与前三者差异明显,但随着楼层的增大,基础形式对结构层间位移角的影响逐渐减弱;(4)上、下盘结构的峰值加速度、峰值位移大小及峰值出现的时间等存在一定差异,这是由于地震波经过地裂缝时发生复杂的反射和折射,结构受到非一致性激励造成的。     

中国地震网格试验系统中资源管理与作业调度研究-资源管理和作业动态分配模型ProRMJS的建立me

通过分析与研究建立资源管理和作业动态分配ProRMJS模型,解决了中国地震灾害仿真网格试验系统（CEDAGrid）中网格科学计算平台在初期建设中存在的一些资源管理方面的问题. 针对网格科学计算平台默认各个计算节点均能提供计算服务的问题,ProRMJS通过ldquo;计算池rdquo;这一虚拟组织为调度器分发作业提供支撑;而调度器则根据计算池中各个节点的计算能力和状态,动态分配任务,这样就保证了计算平台的稳定性. 针对默认各个计算节点均能完成任务的问题, ProRMJS通过监控各个节点所负担作业的运行进度和设定作业时间阈值来管理作业运行. 对于各个节点计算能力大小的区别, ProRMJS通过对各个节点计算性能的权值量化,实行按ldquo;需rdquo;分配作业. 对各个节点计算性能的权值量化, ProRMJS是通过综合考虑各个因素对机器计算能力大小的影响后通过加权计算的方式完成的,从而提高了整个计算平台的工作效率. 最后通过实现地震应力触发科学计算实例验证了方案的有效性,为网格技术在地震领域内的进一步应用作了有意义的探索.      

Contemporary crustal deformation of the Chinese continent and tectonic block model

We obtain the preliminary result of crustal deformation velocity field for the Chinese continent by analyzing GPS data from the Crustal Motion Observation Network of China (CMONOC), particularly the data from the regional networks of CMONOC observed in 1999 and 2001. We delineate 9 technically active blocks and 2 broadly distributed deformation zones out of a dense GPS velocity field, and derive block motion Euler poles for the blocks and their relative motion rates. Our result reveals that there are 3 categories of deformation patterns in the Chinese continent. The first category, associated with the interior of the Tibetan Plateau and the Tianshan orogenic belt, shows broadly distributed deformation within the regions. The third category, associated with the Tarim Basin and the region east of the north-south seismic belt of China, shows block-like motion, with deformation accommodated along the block boundaries only. The second category, mainly associated with the borderland of the Tibetan Plateau, such as the Qaidam, Qilian, Xining (in eastern Qinghai), and the Diamond-shaped (in western Sichuan and Yunnan) blocks, has the deformation pattern between the first and the third, i.e. these regions appear to deform block-like, but with smaller sizes and less strength for the blocks. Based on the analysis of the lithospheric structures and the deformation patterns of the regions above, we come to the inference that the deformation modes of the Chinese continental crust are mainly controlled by the crustal structure. The crust of the eastern China and the Tarim Basin is mechanically strong, and its deformation takes the form of relative motion between rigid blocks. On the other hand, the northward indentation of the Indian plate into the Asia continent has created the uplift of the Tibetan Plateau and the Tianshan Mountains, thickened their crust, and raised the temperature in the crust. The lower crust thus has become ductile, evidenced in low seismic velocity and high electric conductivity observed. The brittle part of the crust, driven by the visco-plastic flow of the lower crust, deforms extensively at all scales. The regions of the second category located at the borderland of the Tibetan Plateau are at the transition zone between the regions of the first and the third categories in terms of the crustal structure. Driven by the lateral boundary forces, their deformation style is also between the two, in the form of block motion and deformation with smaller blocks and less internal strength.     

我国地形变观测预报地震的现状及对地震预测问题的思考

本文展示了我国地形变观测的状况,讨论了以地形变观测预报地震的基本思路及应用情况,探讨了地震预测面临的困难及地形变观测须解决的技术问题。最后,作者认为,地震预报目前或今后很长一段时间都将是以观测为主的试验性科学,物理统计分析方法是研究地震孕育动力学过程或进行预测的最具有潜力的途径之一。     

Landslide intelligent prediction using object-oriented method

Landslides are one of the most serious geological disasters in the world and happen quite frequently in the Three Gorges. Landslide prediction is a very important measure of landslide prevention and cure in the Three Gorges. Traditional methods lack in sufficiently mining the various complex information from a landslide system. They often need much manual intervention and possess poor intelligence and accuracy. An intelligent method proposed in this paper for landslide prediction based on an object-oriented method and knowledge driving is hopeful to solve the above problem. The method adopted Landsat ETM+ images, 1:50,000 geological map and 1:10,000 relief map in the Three Gorges as the data origins. It firstly produced the key factors influencing landslide development and used multi-resolution segmentation algorithm to segment the image objects based on the key landslide factors of engineering rock group, reservoir water fluctuation, slope structure and slope level. Secondly, the method chose some sample objects and adopted the decision tree algorithm C5.0 to mine the landslide forecast criteria according to the factor values of each sample object. Finally, under knowledge driving the method classified the image objects and realized landslide susceptibility analysis and intelligent prediction in the Three Gorges. The method proposed in this paper is object-oriented. Results of a real-world example show that: (1) the object-oriented method possesses much more compact knowledge representation, higher efficiency, more continuous classifying result and higher prediction accuracy compared with the pixel-oriented method; (2) it possesses the overall accuracy of 87.64% and kappa coefficient of 0.8305 and is more accurate than the other seven methods (such as the pixel-oriented methods of Parallelpiped, Minimum Distance, Maximum Likelihood, Mahalanobis Distance, K-means and Isodata and the object-oriented method of Nearest Neighbor); (3) about 46.97% landslides lie in the high susceptibility region, 24.24% landslides lie in the moderate susceptibility region, 27.27% landslides lie in the low susceptibility region and 1.52% landslides lie in the very low susceptibility region. Therefore the method can effectively realize landslide susceptibility analysis and provides a new idea for landslide intelligent and accurate prediction.     

中国西北部“4.5”沙尘暴过程中尺度低压的数值模拟

利用改进型ＰＳＵ／ＮＣＡＲ中尺度数值模式（ＭＭ４标准版），取模式水平格距４０ｋｍ，４６×６１网格，垂直方向ａ取１５层，即从地面到模式顶（１００ｈＰａ），σ＝０．０、０．１、０．２、０．３、０．４、０．５、０．６、０．７、０．７８、０．８４、０．８９、０．９３、０．９６、０．９８、０．９９、１．００，采用ＮＣＡＲ的３０＇×３０＇地形资料，以常规观测资料作为初始场，较好地模拟了此次沙尘暴过程的海平面气压的演变和分布，特别是张掖、柴达本盆地以及敦煌附近的三个中低压。同时，模拟了张掖中低压与蒙古冷高压之间的甘肃河西沙尘暴东大风。敏感性试验表明，沙尘暴中低压的形成发展主要是受于物理过程制约；沙尘暴中尺度系统的研究与暴雨中尺度系统的研究是有区别的，积云对流参数化并不是特别重要，在设计研究沙尘暴的数值模式中，应当合理地处理其他的热力、动力过程及大气外强迫源的作用。模式水平格距、地形真实程度对模拟中低压的位置、中心强度有重要贡献；下垫面变化中低压强度有一定影响。张掖热低压的形成发展主要是在有利的环境形势下，特殊地势起了重要作用，表现为直接动力强迫和间接热力强迫。