Scale dependent dynamic capillary pressure effect for two-phase flow in porous media

Causes and effects of non-uniqueness in capillary pressure and saturation (P^c–S) relationship in porous media are of considerable concern to researchers of two-phase flow. In particular, a significant amounts of discussion have been generated regarding a parameter termed as dynamic coefficient (τ) which has been proposed for inclusion in the functional dependence of P^c–S relationship to quantify dynamic P^c and its relation with time derivative of saturation. While the dependence of the coefficient on fluid and porous media properties is less controversial, its relation to domain scale appears to be dependent on artefacts of experiments, mathematical models and the intra-domain averaging techniques. In an attempt to establish the reality of the scale dependency of the τ–S relationships, we carry out a series of well-defined laboratory experiments to determine τ–S relationships using three different sizes of cylindrical porous domains of silica sand. In this paper, we present our findings on the scale dependence of τ and its relation to high viscosity ratio (μ_r) silicone oil–water system, where μ_r is defined as the viscosity of non-wetting phase over that of the wetting phase. An order of magnitude increase in the value of τ was observed across various μ_r and domain scales. Also, an order of magnitude increase in τ is observed when τ at the top and the bottom sections in a domain are compared. Viscosity ratio and domain scales are found to have similar effects on the trend in τ–S relationship. We carry out a dimensional analysis of τ which shows how different variables, e.g., dimensionless τ and dimensionless domain volume (scale), may be correlated and provides a means to determine the influences of relevant variables on τ. A scaling relationship for τ was derived from the dimensionless analysis which was then validated against independent literature data. This showed that the τ–S relationships obtained from the literature and the scaling relationship match reasonably well.     

基于GRACE Follow-On卫星重力梯度法精确反演地球重力场

由于GRACE Follow-On双星系统等效于基线长为星间距离的一维水平重力梯度仪,因此本文基于GRACE Follow-On卫星重力梯度法开展了精确和快速反演下一代地球重力场的可行性论证研究. 研究结果表明：第一,基于GRACE Follow-On卫星重力梯度法（GFO-SGGM）,利用卫星轨道参数（轨道高度250 km、星间距离50 km、轨道倾角89°、轨道离心率0.001）、关键载荷测量精度（星间距离10^-6 m、星间速度10^-7 m·s^-1、星间加速度10^-10 m·s^-2、轨道位置10^-3 m、轨道速度10^-6 m·s^-1、非保守力10^-11 m·s^-2）、观测时间30天和采样间隔10 s反演了120阶地球重力场,在120阶处累计大地水准面精度为9.331×10^-4 m. 第二,在120阶内,利用将来GRACE Follow-On双星反演地球重力场精度较现有GRACE双星平均提高61倍,因此GRACE Follow-On卫星重力梯度法是进一步提高地球重力场反演精度的优选方法. 第三,下一代GRACE Follow-On计划较当前GRACE计划的优点如下：轨道高度更低（200~300 km）、载荷精度更高（10^-7 ~10^-9 m·s^-1）和星间距离更短（50~100 km）.     

Jointly thinking the post-dam future: exchange of local and scientific knowledge on the lakes of the Lower Rufiji,Tanzania

Abstract

A large dam is planned at Stiegler’s Gorge in Tanzania. The change in the Rufiji River flood pattern will affect downstream ecosystems. This paper concentrates on the highly productive floodplain lakes that play a vital role in local livelihoods. A participatory monitoring system with village-based observers collected water level, rainfall, fisheries and food data from 2001 to 2011. Water balances of the lakes show dependence on the Rufiji River flood, with varying vulnerability. With the dam design flood of 2500 m³ s^-1, lakes with a high threshold and small catchment will dry out quickly. Lakes with a lower threshold and substantial catchment are more robust but may still dry out during prolonged local drought. Analysis of rainfall (1923–2012) indicates a recent decrease. The data were analysed through feedback workshops with local observers, government technical staff and researchers. Through this collaborative approach, local capacity in preparing for the post-dam future was enhanced.

Editor D. Koutsoyiannis; Guest editor M. Acreman

Citation Duvail, S., Mwakalinga, A.B., Eijkelenburg, A., Hamerlynck, O., Kindinda, K., and Majule, A., 2014. Jointly thinking the post-dam future: exchange of local and scientific knowledge on the lakes of the Lower Rufiji, Tanzania. Hydrological Sciences Journal, 59 (3–4), 713–730.     

西安市地下空间开发利用现状与对策建议

西安作为国家级中心城市,地下空间开发逐渐步入实践化和规模化阶段,其面临的问题具有很强的代表性和典型性。在对国内外地下空间开发利用进展和趋势分析的基础上,针对西安市地下空间利用中存在的问题,提出了开发利用的对策建议,主要包括:①积极推进城市地下空间资源调查、监测与评估工作。②加强地下空间开发与地质环境的相互作用机理、地下空间的价值估算、地下空间资源开发的多元化融资模式等方面的技术攻关。③建立和完善相关法律法规、技术标准和行政管理细则。④推进城市地下空间资源开发利用的信息化和智能化,保障地下空间的合理开发利用,有效支撑国土空间规划与布局优化。     

考虑填土强度的加筋土挡墙动位移计算

加筋土挡墙在地震荷载作用下的位移大小对结构的抗震性能影响显著。为了计算地震荷载作用下加筋土挡墙的位移,Newmark滑块法通常被用于设计中。由于传统的Newmark滑块法在计算中忽略了填土强度的变化,因而采用单一峰值或残余强度的计算将可能导致计算得到的位移小于或大于实际位移值。在二楔块破坏模式的假定条件下,根据楔块的力学平衡条件,建立了加筋土挡墙滑动安全系数计算式,同时通过引入位移阈值考虑了填土的应变软化特点。通过将计算结果与模型试验结果对比,得到以下结论：相较于单楔块法,二楔块法更能真实地反映出墙体的实际破坏模式,且计算得到的屈服加速度系数更接近试验值;相较于采用单一峰值或残余强度计算的位移,考虑填土应变软化的计算解更接近于模型测试值。     

生物酶改良膨胀土的修正殷宗泽模型

以描述生物酶改良膨胀土的应力?应变关系为研究目的,提出基于生物酶掺量的修正殷宗泽模型。开展了一系列三轴排水剪切试验。对不同生物酶掺量下改良膨胀土的弹性形变演化规律进行了分析,同时研究了生物酶掺量与剪切压缩、剪切膨胀相关的屈服面形状的演化规律,以及与破坏线方程的演化规律。在此基础上分析了生物酶掺量对殷宗泽模型的参数影响规律。引入生物酶掺量作为修正殷宗泽模型的修正因子,最终对殷宗泽模型进行了修正。研究结果表明：生物酶能有效地提高改良膨胀土的力学性能,修正殷宗泽模型能够很好地描述生物酶改良膨胀土的土体本构关系。对比修正殷宗泽模型的理论计算值与试验值,两者具有很高的吻合度,且修正殷宗泽模型的参数确定方法与殷宗泽模型参数确定方法相同。     

扬子地块东缘新元古代造山后构造转化:瓮安穹隆构造岩石与年代学限定

扬子地块Rodinian造山后向伸展作用转化的过程与时间,一直是扬子地块新元古代构造演化的重要科学问题。扬子地块东南瓮安穹隆保存了新元古界板溪群至南华系的完整地层层序与角度不整合接触关系,是回答和理解新元古代造山后构造转化问题的理想区域。对新元古代浅变质板溪群沉积岩和南华纪南沱组沉积层序进行了调查,并采取系列样品进行碎屑锆石U-Pb定年分析和岩石地球化学分析。野外调查表明,南华纪南沱组角度不整合于板溪群之上;年代学分析结果表明,板溪群的沉积时代应在772 Ma之前,而南华纪南沱组沉积时代晚于691 Ma。瓮安穹隆新元古代板溪群沉积岩SiO₂含量中等,SiO₂/Al₂O₃平均值为5.53,K₂O/Na₂O平均值为7.14,TFeO+MgO平均值为3.47%。板溪群物源可能来自上地壳,原岩以长英质物源为主,为活动大陆边缘构造背景,其物源主要来自扬子地块西缘。南沱组沉积岩样品SiO₂含量中等,SiO₂/Al₂O₃平均值为4.69,K₂O/Na₂O平均值为20.41,TFeO+MgO含量平均值为6.64%;碎屑沉积岩稀土元素球粒陨石标准化曲线与上陆壳相似,以轻稀土富集、显著的铕负异常和重稀土平坦为特征。南沱组沉积岩物源可能来自上地壳,原岩以长英质物源为主,有少量中性岩混入,具有裂谷背景特征。综上所述,认为瓮安穹隆板溪群—南沱组地层层序代表了从造山作用向造山后伸展裂谷转化过程,其中板溪群可能与碰撞造山作用对应,主体约在772 Ma结束,而造山后裂谷的形成在691 Ma之后,因此,从造山作用向造山后伸展转化的时间大约为772~691 Ma。     

浅谈古日郭尔台地区的找矿前景

工作区位于位于内蒙古自治区扎赉特旗阿尔本格勒镇西8公里,隶属于阿尔本格勒镇管辖。古日郭尔台铜银矿点位于古日郭尔台村北东2 km处,位于穆家沟-哈尔朝楚北东向断裂与次级北西向断裂交汇处,矿体赋存于燕山期花岗闪长岩体内断层破碎带中,矿化与后期侵入石英脉关系密切。     

Constraints on the mineralization processes of the Makeng iron deposit,eastern China: Fluid inclusion,H–O isotope and magnetite trace element analysis

The Makeng iron deposit is located in the Yong’an-Meizhou depression belt in Fujian Province, eastern China. Both skarn alteration and iron mineralization are mainly hosted within middle Carboniferous-lower Permian limestone. Five paragenetic stages of skarn formation and ore deposition have been recognized: Stage 1, early skarn (andradite–grossular assemblage); Stage 2, magnetite mineralization (diopside–magnetite assemblage); Stage 3, late skarn (amphibole–chlorite–epidote–johannsenite–hedenbergite–magnetite assemblage); Stage 4, sulfide mineralization (quartz–calcite–fluorite–chlorite–pyrite–galena–sphalerite assemblage); and Stage 5, carbonate (quartz–calcite assemblage). Fluid inclusion studies were carried out on inclusions in diopside from Stage 2 and in quartz, calcite, and fluorite from Stage 4.Halite-bearing (Type 1) and coexisting two-phase vapor-rich aqueous (Type 3) inclusions in the magnetite stage display homogenization temperatures of 448–564 °C and 501–594 °C, respectively. Salinities range from 26.5 to 48.4 and 2.4 to 6.9 wt% NaCl equivalent, respectively. Two-phase liquid-rich aqueous (Type 2b) inclusions in the sulfide stage yield homogenization temperatures and salinities of 182–343 °C and 1.9–20.1 wt% NaCl equivalent. These fluid inclusion data indicate that fluid boiling occurred during the magnetite stage and that fluid mixing took place during the sulfide stage. The former triggered the precipitation of magnetite, and the latter resulted in the deposition of Pb, Zn, and Fe sulfides. The fluids related to magnetite mineralization have δ¹⁸O_fluid-VSMOW of 6.7–9.6‰ and δD of −96 to −128‰, which are interpreted to indicate residual magmatic water from magma degassing. In contrast, the fluids related to the sulfide mineralization show δ¹⁸O_fluid-VSMOW of −0.85 to −1.04‰ and δD of −110 to −124‰, indicating that they were generated by the mixing of magmatic water with meteoric water. Magnetite grains from Stage 2 exhibit oscillatory zoning with compositional variations in major elements (e.g., SiO₂, Al₂O₃, CaO, MgO, and MnO) from core to rim, which is interpreted as a self-organizing process rather than a dissolution-reprecipitation process. Magnetite from Stage 3 replaces or crosscuts early magnetite, suggesting that later hydrothermal fluid overprinted and caused dissolution and reprecipitation of Stage 2 magnetite. Trace element data (e.g., Ti, V, Ca, Al, and Mn) of magnetite from Stages 2 and 3 indicate a typical skarn origin.