3-D Geological Modeling–Concept, Methods and Key Techniques

3-D geological modeling plays an increasingly important role in Petroleum Geology, Mining Geology and Engineering Geology. The complexity of geological conditions requires different modeling methods in different situations. This paper summarizes the general concept of geological modeling; compares the characteristics of borehole-based modeling, cross-section based modeling and multi-source interactive modeling; analyses key techniques in 3-D geological modeling; and highlights the main difficulties and directions of future studies.     

Targeting seasonal climate forecasts for integration into household level decisions: the case of smallholder farmers in Lesotho

Seasonal climate forecasts have been promoted as a means to increase the resilience of marginal groups in Africa. The manifestations of this are still to be seen. This paper argues that successful dissemination and adoption of the forecast requires an in-depth profile of the characteristics and needs of user groups. The case study of a mountainous village in southern Lesotho is used to highlight the decisions which one group of marginal users – smallholder farmers – might make in response to the forecast. A participatory role-play exercise explores what information households presently receive and how new climate forecast information could be integrated into seasonal decision making. Results show that there are a number of low-input options available to these farmers for responding to the forecast. Adoption, however, is going to require repeated exposure to the forecast in conjunction with forecast development that is suited to users' needs. The case study is linked back to the larger scale by suggesting paths that seasonal climate forecast development could take if it is to contribute to improving livelihood sustainability among marginal groups.     

Data selection using support vector regression

Geophysical data sets are growing at an ever-increasing rate, requiring computationally efficient data selection(thinning)methods to preserve essential information. Satellites, such as Wind Sat, provide large data sets for assessing the accuracy and computational efficiency of data selection techniques. A new data thinning technique, based on support vector regression(SVR), is developed and tested. To manage large on-line satellite data streams, observations from Wind Sat are formed into subsets by Voronoi tessellation and then each is thinned by SVR(TSVR). Three experiments are performed. The first confirms the viability of TSVR for a relatively small sample, comparing it to several commonly used data thinning methods(random selection, averaging and Barnes filtering), producing a 10% thinning rate(90% data reduction), low mean absolute errors(MAE) and large correlations with the original data. A second experiment, using a larger dataset, shows TSVR retrievals with MAE < 1 m s-1and correlations 0.98. TSVR was an order of magnitude faster than the commonly used thinning methods. A third experiment applies a two-stage pipeline to TSVR, to accommodate online data. The pipeline subsets reconstruct the wind field with the same accuracy as the second experiment, is an order of magnitude faster than the nonpipeline TSVR. Therefore, pipeline TSVR is two orders of magnitude faster than commonly used thinning methods that ingest the entire data set. This study demonstrates that TSVR pipeline thinning is an accurate and computationally efficient alternative to commonly used data selection techniques.     

桩基工程的环境负效应及对策

本文通过桩基工程实例 ,着重介绍了在工程桩施工过程中 ,对为遏制危及周围建筑物的影响所采取的有效防护措施 ,业已取得了明显的效果     

Foregrounds for redshifted 21-cm studies of reionization: Giant Meter Wave Radio Telescope 153-MHz observations

Foreground subtraction is the biggest challenge for future redshifted 21-cm observations to probe reionization. We use a short Giant Meter Wave Radio Telescope (GMRT) observation at 153 MHz to characterize the statistical properties of the background radiation across ∼1° to subarcmin angular scales, and across a frequency band of 5 MHz with 62.5 kHz resolution. The statistic we use is the visibility correlation function, or equivalently the angular power spectrum   C _l   . We present the results obtained from using relatively unsophisticated, conventional data calibration procedures. We find that even fairly simple-minded calibration allows one to estimate the visibility correlation function at a given frequency   V ₂( U , 0)  . From our observations, we find that   V ₂( U , 0)  is consistent with foreground model predictions at all angular scales except the largest ones probed by our observations where the model predictions are somewhat in excess. On the other hand, the visibility correlation between different frequencies  κ( U , Δν)  seems to be much more sensitive to calibration errors. We find a rapid decline in  κ( U , Δν)  , in contrast with the prediction of less than 1 per cent variation across 2.5 MHz. In this case, however, it seems likely that a substantial part of the discrepancy may be due to limitations of data reduction procedures.     

成矿过程中流体的作用及其主要研究方法

流体在成矿过程中扮演着十分重要的角色,它是成矿物质得以活化、迁移、富集的主要介质,同时流体的运移还能扩展有利的成矿空间,同位素地化学方法仍然是成矿流体研究的主要手段,实验地球化学、元素地球化学以及现代岩石学和矿物学研究方法在探讨流体的起源、演化等方面已发挥越来越重要的作用。每种方法均有其局限性,在实际工作中强调多种研究方法的结合十分必要。     

主要作物产量分离方法比较

对作物产量进行分离是分析气象因子对产量影响的重要步骤之一。以1985—2018年江苏省24个县（市）水稻统计产量为基础,分别采用3年滑动平均法、5年滑动平均法、五点二次平滑法、二次指数平滑法、HP滤波法和年际增量法对作物产量进行分离。从趋势产量与气象产量两方面比较6种方法的一致性与差异性,将分离出的气象产量与典型年增减产记录对比,选出更能准确捕获气象因子导致产量变异的方法,利用气象因子与产量关系的合理性对选定的方法进行检验。结果表明：就趋势产量拟合而言,前5种方法（年际增量法不能模拟趋势产量）均能较好地拟合趋势产量,与研究区域的趋势产量的一致性相关系数绝大多数为较好和极好等级范围;就气象产量而言,HP滤波法和年际增量法分离气象产量的合理性较差,标准差明显大于其他方法。综合看,3年滑动平均法与五点二次平滑法更具有普适性,可以捕获整个地区绝大多数典型年份气象因子带来的产量变化。     

Nonlinear Atmospheric and Climate Dynamics in China （2003-2006）： A Review

Recent advances in the study of nonlinear atmospheric and climate dynamics in China （2003 2006） are briefly reviewed. Major achievements in the following eight areas are covered： nonlinear error dynamics and predictability; nonlinear analysis of observational data; eddy-forced envelope Rossby soliton theory; sensitivity and stability of the ocean＇s thermohaline circulation; nonlinear wave dynamics; nonlinear analysis on fluctuations in the atmospheric boundary layer; the basic structures of atmospheric motions; some applications of variational methods.     

地下水测年方法及其在地震监测中的应用展望

对地下水动力学特征的观测与研究,是地震前兆监测的重要方法之一。地下水动力学研究中,利用地下水测年方法,可以对地下水的补给、径流特征及更新能力作出定性和定量的分析。本文介绍了近年来国际上常用的地下水测年方法,总结了前人在该领域的主要研究进展,重点分析了地下水更新能力与地震前兆信息的关系、地下水运动规律与地震构造活动的关系以及地下水浅层补给与异常干扰排除的方法等。已有的研究成果表明,地下水年龄的测定与分析方法对于了解监测点映震能力、评价构造活动与地震活动程度,以及在观测资料异常变化的现场核实等方面,可以发挥重要作用。