鄂尔多斯盆地CO2地质封存适宜性与潜力评价

针对目前利用层次分析法对CO₂地质封存进行适宜性评价过程中,极少结合研究区域实际计算低层次评价指标权重,对适宜性评价结果又缺少进一步的分析,结合鄂尔多斯盆地的地质特征,通过计算指标组成权重和适宜性得分对盆地开展了CO₂地质封存适宜性评价,并以适宜区杏子川油田长4+5盖层为例,开展了盖层封闭性评价实验研究。同时,采用相应的计算方法对鄂尔多斯盆地深部咸水层和油藏的CO₂地质封存潜力进行了计算。结果表明：鄂尔多斯盆地在三叠系开展CO₂地质封存的适宜性最好,石炭-二叠系和奥陶系则次之;杏子川油田三叠系延长组长4+5盖层对区域开展CO₂地质封存具备良好的封闭性;鄂尔多斯盆地深部咸水层和油藏的CO₂有效封存量分别为1.33×10 ¹⁰ t和1.91×10 ⁹ t,且在延长石油吴起、靖边及杏子川油田共有56个CO₂地质封存适宜区,其CO₂有效封存量可达1.77×10 ⁸ t。     

基于小波分解的西太平洋副热带高压模糊推理预测

基于NCEP/NCAR再分析资料,讨论了西太平洋副高脊线与其前期位置的相互关系,并在此基础上用小波分解和自适应模糊推理方法,对副高脊线进行集成建模和预测.基于小波分解重构的副高脊线短期活动集成预测结果表明,该方法可有效降低预报难度,明显改进和提高了副高脊线短期活动的预报准确率.     

龙卷风的风强分析与极值推断

本文采用1955－1997年影响盐城市的龙卷风资料,按富士达F等级定义龙卷风风强分类级别,对盐城市受袭击点的破坏程度进行风强分级,并分析各个时段龙卷风风强等级的频数。应用耿贝尔极值分布理论,对影响盐城市的龙卷风风速极值进行统计推断,获得1％风险度龙卷风风速极值,以及各种特定重视期间的极值。     

中国西北大旱年发生概率的统计推断

根据中国西北近500a旱涝等级资料，用Bernoulli试验等理论模式，对大旱年发生的概率特征进行了研究，得出大旱年发生的统计规律。在全球气候变暖的大背景下，给出了21世纪中国西北大旱年发生概率的统计推断结果。     

A local model for analysis of pump and treat systems with vertical barrier walls

We present a mathematical model of local, steady groundwater flow near a vertical barrier wall. Flow features represented in the model include an impermeable arc-shaped barrier wall and multiple wells; distant boundary conditions are not included explicitly, but their effects on the local flow field are modelled by specifying a uniform flow at infinity and a constant areal recharge within a local domain. We develop an explicit closed-form solution to the boundary-value problem using the analytic element method. The solution is an extension of a harmonic solution presented by Anderson and Mesa [Anderson EI, Mesa E. The effects of vertical barrier walls on the hydraulic control of contaminated groundwater. Adv Water Resourc 2006;29(1):89–98] which does not include the effects of recharge. We demonstrate that the general solution with recharge consists of the harmonic solution superposed on a special case of the harmonic solution along with two elementary one-dimensional flow solutions. The results are used to investigate the effects of areal recharge on the capture zone envelopes of the pumping wells and on the reduction in discharge that can be achieved by including a barrier wall in a pump and treat design. We find that the benefits of including an open barrier wall in a design, measured as a reduction in the pumping rate required to contain a plume, increase for higher recharge rates. Dimensionless plots of capture zone envelopes are presented for a practical well and barrier wall configuration.     

前兆台站及观测测项的密度改正方法

介绍了使用MYCIN不精确推理模型生成发震可信度分布图、 可信度密度等值线图以及进行前兆测项的密度改正方法。 通过对1989年大同6.1级和1998年张北6.2级地震的震前异常进行推理和比较, 经过密度改正的可信度密度等值线图可以克服某些地区由于前兆测项密度较高而造成对地点判断的偏差, 从而对未来发震地区的判断起到较好的效果。     

Copula models for frequency analysis what can be learned from a Bayesian perspective?

Large spring floods in the Québec region exhibit correlated peakflow, duration and volume. Consequently, traditional univariate hydrological frequency analyses must be complemented by multivariate probabilistic assessment to provide a meaningful design flood level as requested in hydrological engineering (based on return period evaluation of a single quantity of interest). In this paper we study 47 years of a peak/volume dataset for the Romaine River with a parametric copula model. The margins are modeled with a normal or gamma distribution and the dependence is depicted through a parametric family of copulas (Arch 12 or Arch 14). Parameter joint inference and model selection are performed under the Bayesian paradigm. This approach enlightens specific features of interest for hydrological engineering: (i) cross correlation between margin parameters are stronger than expected , (ii) marginal distributions cannot be forgotten in the model selection process and (iii) special attention must be addressed to model validation as far as extreme values are of concern.     

基于层次分析的辽宁地区震情指标预警模型研究

根据辽宁及邻区地质构造与地震活动特点,结合1970年以来该区中强震震例,分辽南和辽蒙交界两个小区分别提炼了中强震预警判据。在此基础上,利用层次分析法,建立了辽宁地区基于时间尺度的地震震情指标预警模型。     

Bayesian analysis of De distributions in optical dating: Towards a robust method for dealing with outliers

In optical dating, especially single-grain dating, various patterns of distributions in equivalent dose (D_e) are usually observed and analysed using different statistical models. None of these methods, however, is designed to deal with outliers that do not form part of the population of grains associated with the event of interest (the ‘target population’), despite outliers being commonly present in single-grain D_e distributions. In this paper, we present a Bayesian method for detecting D_e outliers and making allowance for them when estimating the D_e value of the target population. We test this so-called Bayesian outlier model (BOM) using data sets obtained for individual grains of quartz from sediments deposited in a variety of settings, and in simulations. We find that the BOM is suitable for single-grain D_e distributions containing outliers that, for a variety of reasons, do not form part of the target population. For example, D_e outliers may be associated with grains that have undesirable luminescence properties (e.g., thermal instability, high rates of anomalous fading) or with contaminant grains incorporated into a sample when collected in the field or prepared in the laboratory. Grains that have much larger or smaller D_e values than the target population, due to factors such as insufficient bleaching, beta-dose heterogeneity or post-depositional disturbance, may also be identified as outliers using the BOM, enabling these values to be weighted appropriately for final D_e and age determination.