Characteristics and Hydrocarbon Potential of Mesozoic Strata in Eastern Pearl River Mouth Basin, Northern South China Sea

The well LF35-1-1 in the eastern Pearl River Mouth basin (PRMB) of the northern South China Sea revealed nnmetamorphosed Middle-Late Jurassic neritic-bathyal sediments and Cretaceous fluvial-lacustrine sediments.Three tectonic movements were identified in Late Jurassic to Early Cretaceous,late Early Cretaceous,and Late Cretaceous to Paleocene,respectively.The Late Jurassic marine facies mainly contain the hydrocarbon source and reservoir-seal assemblages,providing a main exploration target.     

埕岛油田潮流、风海流预报系统的研制与应用

在埕岛油田潮流、风海流预报系统中应用了整体潮流预报法,结合对本海域潮流实测资料,研究编制成操作简便、功能强大的潮流预报应用软件,实现了对埕岛海域潮流和风海流的即时预报,用于指导油田生产管理,并取得了较好的效果。     

城市土地潜力分析--以南京市为例

研究城市土地潜力是城市建设者合理利用城市土地、提高城市土地利用效率、保护耕地的基础。该文利用GIS对土地、规划、环保、人口等相关数据进行整合,从房地产开发的角度建立测算最低经济容积率的模型,求得每块城市土地的经济容积率;基于GIS空间分析功能,分析城市土地利用现状与最低经济容积率,并用地域环境质量综合评价、历史文化名城保护规划等数据对结果进行修正,得出南京市城市土地潜力的数量、质量及空间分布。     

GIS应用中认知阶层性对地理信息有效传输的影响

GIS应用的最终目的是使其所包含的地理信息有效传递。该文从信息科学、认知科学及地理信息科学角度出发,指出认知空间和地理空间的阶层对应性是实现地理信息有效传递的基础;提出两类空间重叠区的概念,并阐明其在信息有效传递过程中的重要作用;确立认知科学在GIS应用中的两个基本原则是建立这种对应性的理论依据;强调信息制造者(制图者)是构建这种对应性的实施者,而信息接收者(用户)对认知空间分类阶层的正确识别则是构建这种对应性的出发点。     

广域差分GPS系统PNP-20的接收机及配套软件的研制与应用

论述了局域差分GPS技术受到的限制和广域差分GPS的原理及技术特点,介绍了PNP20广域差分系统 工作原理,并详细叙述其主要的软、硬件的特点和各种功能,分析了该系统的各种检测数据,最后对这套系统的 应用前景和主要优、缺点进行了评述。     

RTK技术在送变电线路测量中的应用

在简介RTK技术的基础上,分析和研究了RTK技术在送变电工程测量中各阶段的主要应用,提出了具体的应用方法,指出了应用中应注意的主要问题与解决的技术措施,对工程应用具有一定的指导意义。     

环境蠕变对农业病虫草鼠害的潜在影响

重点讨论了在全球气候变暖的大背景下,农业病虫草鼠害加重和新的病虫草鼠出现也作为一种蠕变现象正在遭受气候变化的影响和冲击。其主要表现在农业有害生物(病、虫、草、鼠)地理分布范围扩大、越冬界限北移、农田害虫害鼠发育时间缩短、繁殖代数增加、种群增长率加快、发生提早、危害加重、病毒病增加、新病虫草鼠出现等等。     

断层地表潜在突发位移的概率评价初探

目前跨活动断层的线状工程的抗断设防仍采用确定性评价方法 ,考虑的是最大位错量 ,与抗御灾害的风险设计的实际要求不相符。文中将断层上最大位错点的位置分布及最大位错点两侧的位错展布 ,与可产生地表突发位移的强震复发模型联合 ,建立了评估活动断层各部位的地表潜在突发位移的概率性评价方法。最后 ,以怀涿盆地北缘正断裂中的沈庄 -长疃段为例 ,对其未来 10 0a潜在突发位移的危险性做出定量评估 ,给出了断层段上各点不同超越概率水平下的潜在位移。这一研究结果 ,可为跨断裂的线型工程进行抗御地表潜在突发位移的风险设计提供参考     

Evaluation of Liquefaction Potential Index Along Western Coast of South Korea Using SPT and CPT

For South Korea, liquefaction potential along the western coast has not been widely assessed because South Korea is considered to be a low seismic hazard. However, recent earthquake events and historical records indicate that the seismic hazard of South Korea should not be ignored. Moreover, as artificial fills are extensively used along the western coast for development, liquefaction evaluation of the soils in this area is necessary. In this paper, we present: (1) the seismic characteristics of the study area; (2) procedures for evaluating liquefaction potential, focusing on the liquefaction potential index (LPI) approach; and (3) LPI distributions at several representative locations along the western coast of South Korea under various seismic scenarios. The liquefaction potential index represents the liquefaction potential over the upper 20 m of a boring or sounding. Using cone penetration test (CPT) and standard penetration test (SPT) data from two coastal sites, we compare and discuss CPT-based and SPT-based LPI values, particularly values computed in nonplastic, silt-rich soils. In these soils, it appears that the CPT yields lower liquefaction resistance, resulting in large LPI values. Finally, discussion and suggestions are provided for CPT- and SPT-based liquefaction assessment of low plasticity and high fines content soils.     

Updated Support Vector Machine for Seismic Liquefaction Evaluation Based on the Penetration Tests

Simplified techniques based on in situ testing methods are commonly used to predict liquefaction potential. Many of these simplified methods are based on finding the liquefaction boundary separating two categories (the occurrence or non-occurrence of liquefaction) through the analysis of liquefaction case histories. As the liquefaction classification problem is highly nonlinear in nature, it is difficult to develop a comprehensive model taking into account all the independent variables, such as the seismic and soil properties, using conventional modeling techniques. Hence, in many of the conventional methods that have been proposed, simplified assumptions have been made. In this study, an updated support vector machine (SVM) based on particle swarm optimization (PSO) is used to evaluate liquefaction potential in two separate case studies. One case is based on standard penetration test (SPT) data and the other is based on cone penetration test (CPT) data. The SVM model effectively explores the relationship between the independent and dependent variables without any assumptions about the relationship between the various variables. This study serves to demonstrate that the SVM can “discover” the intrinsic relationship between the seismic and soil parameters and the liquefaction potential. Comparisons indicate that the SVM models perform far better than the conventional methods in predicting the occurrence or non-occurrence of liquefaction.