水土流失区马尾松林植被提取的土壤调节指数分析

为实现水土流失区植被遥感信息的准确提取,本文采用2007年ALOS 10 m多光谱影像,利用土壤调节植被指数SAVI和MSAVI,对福建长汀水土流失区马尾松林不同植被覆盖密度的3个实验区进行植被提取,并选用不同的土壤调节因子（L=0.25,0.5,0.75,1）做实验,将结果和以NDVI植被指数提取的结果进行对比,分析了提取效果及受土壤噪音的影响程度。实验表明,SAVI指数能提高水土流失区的植被提取精度。在中、低植被覆盖区,其提取的总精度比NDVI高出2%~7%,Kappa系数高出7%~18%;而土壤调节因子L的取值对植被信息的提取也呈现出一定的规律性,即：随着L从0向1递增,SAVI提取稀疏植被的能力上升而探测阴坡植被的能力下降。总体来看,对于低植被覆盖和中等植被覆盖地区,可分别用SAVI（L取0.75）和SAVI（L取0.5）来提取植被信息,对于高植被覆盖区,仍可直接用NDVI进行植被信息提取;研究发现MSAVI在植被信息提取中并不具有特别的优势。     

济阳坳陷特低渗透油藏地质多因素综合定量分类评价

在定量表征特低渗透油藏开发效果及地质特征的基础上,探讨特低渗透油藏开发效果主控地质因素。应用灰色关联分析法对济阳坳陷特低渗透油藏开展地质多因素综合定量分类评价,形成了一套以开发效果表征特低渗透油藏综合特征、从单井到区块基于灰色关联分析的特低渗透油藏地质多因素综合定量分类评价方法。研究结果表明,济阳坳陷特低渗透油藏主要为滩坝砂、浊积岩、砂砾岩沉积,具有埋藏深度大、粒度细、分选较好、孔喉微细、单层厚度薄、分布零散、比储量丰度低、流动性差的地质特点。定义累积产油差表征开发效果以反映特低渗透油藏综合特征,其主控地质因素为油层厚度层数比、砂岩厚度层数比、平均粒径、采油段中深、渗透率、孔隙度、比储量丰度。通过地质多因素综合定量分类评价,将济阳坳陷特低渗透油藏分为3类：Ⅰ类综合评价分数大于0.6,累积产油差大于4 500,开发效果最好;Ⅱ类综合评价分数0.4~0.6,累积产油差-2 500到4 500,开发效果中等;Ⅲ类综合评价分数小于0.4,累积产油差小于-2 500,开发效果差。利用不同区块已有开发数据检验,分类评价结果与实际生产情况一致性良好。Ⅰ类、Ⅱ类特低渗透油藏应该作为现阶段特低渗透油藏直井、水平井优先开发的对象。     

准噶尔盆地南缘硫磺沟煤层气富集主控地质因素及有利区优选

为评价煤层气资源勘探开发潜力和指导矿井安全生产,对准噶尔盆地南缘硫磺沟煤矿主煤层(4-5、7、9-15号煤)的储层物性特征(显微组分、裂隙及含气性等)进行了测试分析,结合现场钻井资料、瓦斯解吸及瓦斯涌出量等资料,从构造、沉积、煤层埋深、水动力条件等方面分析了该区煤层气的控气地质因素。结果表明：煤储层物性较好,孔裂隙较为发育,微裂隙高达3 935条/9 cm²;煤层含气性(瓦斯含量)较好,4-5号煤层为4.88~10.81 m³/t,平均6.56 m³/t。控气地质因素分析表明,准南硫磺沟煤层气的控气模式以构造-水动力耦合控气为主。同时,利用多层次模糊数学综合评价模型,预测的硫磺沟煤矿(4-5号煤)煤层气赋存有利区为钻孔29-3和28-3周边区域。     

川东地区震旦系灯影组储层特征及其控制因素

采用宏观和微观相结合的 方法,通过扫描电镜、阴极发光等手段,分析川东地区震旦系灯影组钻井、岩心和露头剖面样品的镜下岩石学特征,研究川东地区震旦系灯影组白云岩储层的特征及控制因素。研究结果表明灯影组白云 岩储层主要发育在灯二段和灯四段,主要储集岩类型为微生物白云岩、颗粒白云岩和距两期风化壳0~200 m范围内的角砾白云岩和溶孔白云岩;储集空间以次生的孔、缝、洞为主,主要为粒间溶孔、粒内 溶孔、次生晶间孔、构造裂缝、溶洞等。沉积环境是影响灯二段储层发育的主要因素,其有利储集相带主要是位于水动力能量较强的或有利于造礁生物繁殖的高能颗粒滩和微生物云坪沉积环境;溶蚀作 用,特别是古岩溶作用是灯四段储层发育的主要因素。早期的桐湾运动形成了灯影组的大规模孔洞,而其后的构造运动则建立了研究区内特别复杂的孔隙－洞穴－裂缝系统。     

致密砂岩气藏可动流体赋存特征的微观地质因素: 以苏里格气田东部盒8段储层为例

以苏里格气田东部盒8段典型的致密砂岩气藏为例,运用核磁共振、恒速压汞、铸体薄片、物性、X-衍射等实验资料,探讨了影响可动流体赋存差异的微观地质 因素。结果表明,盒8段储层可动流体饱和度低,T₂谱分布均为左高峰右低峰的双峰态;黏土矿物的充填与孔隙类型是孔隙结构复杂的重要因素,孔隙结构是影响可动流体赋存特征的关键;面孔率、喉道 半径、孔喉半径比是影响可动流体饱和度的主要因素,有效孔隙体积、分选系数对可动流体饱和度影响明显,储层物性、黏土矿物、有效喉道体积、孔隙半径对可动流体饱和度影响较弱。     

电网磁暴灾害风险影响因素研究综述

磁暴是源自太阳磁场剧烈变化的地球空间效应,随着电网规模的增大和电压等级的增高,磁暴灾害已经成为诱发电网故障风险的威胁之一.研究电力系统磁暴灾害风险的影响因素可为预防与控制其引发的电网事故提供重要参考.在分析历史典型磁暴事件的基础上,剖析了磁暴诱发电力系统故障的机理,阐述了故障传播与电力系统响应的过程,总结了近年来关于影响电力系统的地磁感应电流水平及其产生的变压器无功损耗方面的研究成果,从磁暴本身的特点和电力系统的参数与结构两方面将影响因素分类.以GIC标准模型,通过改变磁暴扰动环境和电力系统参数,说明了各因素对电网磁暴灾害风险的影响程度,并比较了不同因素影响后果的差异,最后指出了尚未解决的问题和可能的研究方向.     

Nonlinear response estimates of RC frames using linear analysis of SDOF systems

An approximate‐simple method for nonlinear response estimates of reinforced concrete frames subjected to near‐field and far‐field records is presented in this paper. The approximate method is based on equivalent single‐degree‐of‐freedom and linear multi‐degree‐of‐freedom models. In this procedure, the nonlinear maximum roof displacement is estimated using an effective period factor and elastic response spectrum with an equivalent damping. The effective period factor was proposed for far‐field and near‐field ground motion records. For regions of high seismicity, the maximum roof displacement can be estimated by applying an effective period factor of 2.3 and 2.1 for near‐field and far‐field records, respectively, and 9% damped displacement response spectrum. For regions of moderate seismicity, a lower effective period factor of 1.9 and 1.8, for near‐field and far‐field records, respectively, can be applied to estimate the maximum roof displacement. A relationship between linear and nonlinear response of multi‐degree‐of‐freedom systems was also proposed to obtain estimates of the maximum inter‐story drift of nonlinear responding reinforced concrete frames. In addition, the effects of number of ground motion records used in the analyses on the scatters of results were investigated. The required number of ground motions to produce a reliable response was proposed. Copyright © 2013 John Wiley & Sons, Ltd.     

Prediction of site factors by a non‐parametric approach

The problem addressed in this paper is the estimation of the (de)amplification of ground motion at soil sites (compared to rock sites) as a function of the intensity of the ground motion. A non‐parametric empirical approach, called the Conditional Average Estimator (CAE) method, has been used, which is different from all existing approaches. Site factors (SFs) for sites characterized with V_s30 between 180 and 360 m/s were predicted for the peak ground acceleration (PGA) and the spectral accelerations by using a combined database of recorded ground motions. Based on the results of the study, site factors for PGA and selected spectral accelerations are proposed, separately for weaker and stronger ground motions. Comparisons are made with the SFs used in two standards (Eurocode 8 and ASCE 7‐10) and with SFs proposed in the literature, including four Next Generation Attenuation (NGA) ground‐motion prediction equations. The study reveals that (i) SFs depend strongly on the ground‐motion intensity. In the case of stronger ground motions, they decrease with increasing acceleration. (ii) The SFs predicted in this study agree reasonably well with the existing SFs in the case of weak ground motion. For higher intensities of ground motion, they are generally smaller than the existing ones. Copyright © 2014 John Wiley & Sons, Ltd.     

Statistical models for shear strength of RC beam‐column joints using machine‐learning techniques

This paper proposes a new set of probabilistic joint shear strength models using the conventional multiple linear regression method, and advanced machine‐learning methods of multivariate adaptive regression splines (MARS) and symbolic regression (SR). In order to achieve high‐fidelity regression models with reduced model errors and bias, this study constructs extensive experimental databases for reinforced and unreinforced concrete joints by collecting existing beam‐column joint subassemblage tests from multiple sources. Various influential parameters that affect joint shear strength such as material properties, design parameters, and joint configuration are investigated through tests of statistical significance. After performing a set of regression analyses, the comparison of simulation results indicates that MARS approach is the best estimation method. Moreover, the accuracy of analytical predictions of the derived MARS model is compared with that of existing joint shear strength relationships. The comparison results show that the proposed model is more accurate compared to existing relationships. This joint shear strength prediction model can be readily implemented into joint response models for evaluation of earthquake performance and inelastic responses of building frames. Copyright © 2014 John Wiley & Sons, Ltd.     

Effect of a forced harmonic vibration pile to its adjacent pile in layered elastic soil with double-shear model

A new model named double-shear model based on Pasternak foundation and Timoshenko beam theory is developed to evaluate the effect of a forced harmonic vibration pile to its adjacent pile in multilayered soil medium. The double-shear model takes into account the shear deformation and the rotational inertia of piles as well as the shear deformation of soil. The piles are simulated as Timoshenko beams, which are embedded in a layered Pasternak foundation. The differential equation of transverse vibration for a pile is solved by the initial parameter method. The dynamic interaction factors for the layered soil medium are obtained by the transfer matrix method. The formulation and the implementation have been verified by means of several examples. The individual shear effects of soil and piles on the interaction factors are evaluated through a parametric study. Compared to Winkler model with Euler beam, the present model gives much better results for the dynamic interaction of piles embedded in stiff soil with small slenderness ratios. Finally, the effect of a forced long pile to a short pile embedded in multilayered soil medium is studied in detail.