大同矿区煤的导热系数灰色关联分析及预测

为分析煤质指标及密度对导热系数的影响作用,选取了山西大同矿区的不同煤质煤样,进行导热系数测定实验,应用灰色系统理论对导热系数与影响因素进行灰色关联分析,建立导热系数与主要影响因素的GM(1,4)灰色预测模型,进行导热系数预测。结果表明:固定碳、密度和水分是影响煤导热系数的主要因素;根据得出的主要影响因素建立的GM(1,4)预测模型平均相对误差为4.5%,预测精度较高,能够用于导热系数的预测。     

Spatial variability in soil water and salinity in Tamarix community in a semiarid saline region of the upper Yellow River北大核心CSCD

Tamarix is widely distributed in semiarid saline regions of the upper Yellow River. The community of Tamarix affects the spatial distribution of soil water and salinity. It is important to explore the dynamic response relationship of Tamarix community and spatial distribution of soil water and salinity in order to evaluate the effects of vegetation community construction and ecological restoration in this region. The natural Tamarix community in the secondary saline-alkali land of the Ningxia Yellow River Irrigation Area was investigated in July 2016. Classical statistics and geostatistics were used to analyze the spatial distribution characteristics of soil water and salinity. The results showed that the soil water content was relatively low (1.98%-7.55%), whereas the soil salinity was high (average conductivity 10.28-25.38 mS/cm) in the study area. The variability coefficient range of soil water and salinity was 36.1%-83.7%, both with moderate variations. Furthermore, the variation degree of soil salinity decreased with the increase in soil depth. The soil water and salinity had obvious spatial structure characteristics, which was mainly affected by structural factors or structural factors associated with stochastic factors. The coefficients of nugget were 0.04%-49.88%, indicating the strong spatial correlation. The spatial distribution of soil water and salinity in Tamarix community showed a patchy pattern; the soil water and salinity distribution in the areas with high Tamarix growing density were considerably high. The correlation analysis showed that there was a positive correlation between soil water and salinity in the study area. In conclusion, soil water and salinity restrict the distribution and growth of Tamarix. Furthermore, the distribution and growth of Tamarix enhanced the spatial variability of soil water and salinity. Keywords. © 2018 Science Press. All rights reserved.     

基于Box Behnken设计的煤导热系数分析与预测

为研究分析水分、固定碳及密度3个因素对煤导热系数的影响,选取多个矿井不同煤质的煤作为实验煤样,使用NETZSCH LFA457型激光导热系数测试仪进行测定,并引入二次响应曲面试验设计思想,采用Design Expert软件进行煤质指标的Box Behnken试验设计,按设计表筛选实验数据,构建了导热系数多因素、多水平影响下二次回归响应曲面模型,并对不同采样地点的煤导热系数进行了分析与预测。结果表明:二次回归方程P值小于0.000 1,极显著,失拟项为0.072 4,不显著,回归方程具有统计学意义;当水分在0.9%~10.9%,固定碳在49.3%~83.6%,密度在1.2~1.92 g·cm³之间,对煤的导热系数一次项影响程度为密度>固定碳>水分;二次项影响程度为固定碳和密度>水分和密度>水分和固定碳,且固定碳和密度之间存在交互作用,水分和密度、水分和固定碳之间无交互作用;应用响应曲面模型预测的煤导热系数误差为4.3%,满足精度要求。     

发泡注浆法合成莫来石轻质耐火材料

以工业废弃物粉煤灰和当地粘土为主要原料,十二烷基苯磺酸钠为发泡剂,采用发泡注浆法制备轻质莫来石耐火材料,研究了烧结温度对耐火材料晶相的影响以及发泡剂的种类、添加量和浆料固含量对轻质耐火材料常温物理性能的影响。结果表明,适当的烧结温度可改善耐火材料的晶相,同时对制品的孔隙率也有一定影响。选择适宜的发泡剂及添加量,在一定的浆料固含量范围内,可以制备容重小,孔隙率高,导热系数小,机械强度适中的轻质耐火材料。     

Viscosities, thermal conductivities and diffusion coefficients of CO2 mixtures: Review of experimental data and theoretical models

Accurate experimental data on the thermo-physical properties of CO₂-mixtures are pre-requisites for development of more accurate models and hence, more precise design of CO₂ capture and storage (CCS) processes. A literature survey was conducted on both the available experimental data and the theoretical models associated with the transport properties of CO₂-mixtures within the operation windows of CCS. Gaps were identified between the available knowledge and requirements of the system design and operation. For the experimental gas-phase measurements, there are no available data about any transport properties of CO₂/H₂S, CO₂/COS and CO₂/NH₃; and except for CO₂/H₂O(/NaCl) and CO₂/amine/H₂O mixtures, there are no available measurements regarding the transport properties of any liquid-phase mixtures. In the prediction of gas-phase viscosities using Chapman–Enskog theory, deviations are typically <2% at atmospheric pressure and moderate temperatures. The deviations increase with increasing temperatures and pressures. Using both the Rigorous Kinetic Theory (RKT) and empirical models in the prediction of gas-phase thermal conductivities, typical deviations are 2.2–9%. Comparison of popular empirical models for estimation of gas-phase diffusion coefficients with newer experimental data for CO₂/H₂O shows deviations of up to 20%. For many mixtures relevant for CCS, the diffusion coefficient models based on the RKT show predictions within the experimental uncertainty. Typical reported deviations of the CO₂/H₂O system using empirical models are below 3% for the viscosity and the thermal conductivity and between 5 and 20% for the diffusion coefficients. The research community knows little about the effect of other impurities in liquid CO₂ than water, and this is an important area to focus in future work.     

三峡库区澎溪河与磨刀溪电导率等水质特征与水华的关系比较

三峡库区北岸最大一级支流自三峡大坝2003年蓄水以来,频繁暴发水华,而毗邻的一级支流磨刀溪却少有水华暴发.本文以澎溪河和磨刀溪作为研究对象,于2014年春季和夏季三峡库区水华高发期对两条河流同时采样,对比分析两条河流水体水质以及叶绿素a(Chl-a)含量的时空变化,探索澎溪河水华暴发机理.结果表明:澎溪河Chl-a含量较磨刀溪高,澎溪河春季Chl-a最大值为60.5μg·L~(-1),夏季Chl-a最大值仅7.8μg·L~(-1);磨刀溪Chl-a变化趋势与澎溪河相反,磨刀溪春季Chl-a含量为2.92μg·L~(-1),夏季Chl-a达到7.48μg·L~(-1).澎溪河与磨刀溪春季和夏季节水体温度分层,为温跃层+滞温层模式,而没有混合层;两条河流Chl-a含量均位于水深10 m温跃层.澎溪河春季总氮(TN)、总磷(TP)平均值为2.305 mg·L~(-1)和0.053 mg·L~(-1),夏季为1.673 mg·L~(-1)和0.097 mg·L~(-1);磨刀溪春季为1.875 mg·L~(-1)和0.075 mg·L~(-1),夏季为1.79 mg·L~(-1)和0.054 mg·L~(-1).TN、TP水平均超过了国际公认发生富营养化的阈值;水体氮磷含量与Chl-a浓度并无显著相关性,营养盐并不是藻类生物量的限制性因素.然而在水体电导率的规律方面,两条河却存在很大的差异;春季,磨刀溪上游上层水体(0~10 m)电导率只有下游和长江干流的75%,来自长江干流的回水可覆盖至磨刀溪中游(断面MD03),与Chl-a在此处密集保持一致;夏季电导率和回水区分布与春季相似.与磨刀溪不同,澎溪河春季上游电导率为下游和干流的150%,长江干流回水可到PX04与PX05之间,上游高电导率对应着高Chl-a含量;澎溪河电导率与藻类生长分布表现出显著正相关关系,水体中除N、P营养盐外的其它离子对澎溪河水华暴发起重要作用.     

采空区冒落带内破碎岩体的渗流特征与渗透性试验研究

为探索采空区冒落带内破碎岩体中地下水的渗流特征,建立采空区冒落带内破碎岩体渗透系数与空隙率的相关关系,确定采空区冒落带内破碎岩体的渗透系数值,并基于采空区冒落带内破碎岩体的空隙分布特征与大孔隙非均质多孔介质的水流特征,设计了一套一维渗流柱,采用常水头稳态渗透法对采空区冒落带内破碎岩体的渗透性能以及不同空隙率破碎岩体的渗...     

Near Real-Time Monitoring and Mapping of Specific Conductivity Levels Across Lake Texoma, USA

A submersible sonde equipped with a specific conductivity probe, linked with a global positioning satellite receiver was developed, deployed on a small boat, and used to map spatial and temporal variations in specific conductivity in a large reservoir. 7,695 sample points were recorded during 8 sampling trips. Specific conductivity ranged from 442,uS/cm to 3,378,uS/cm over the nine-month study. The data showed five statistically different zones in the reservoir: 2 different riverine zones, 2 different riverine transition zones, and a lacustrine zone (the main lake zone). These data were imported to a geographic information system where they were spatially interpolated to generate 8 maps showing specific conductivity levels across the entire surface of the lake. The highly dynamic nature of water quality, due to the widely differing nature of the rivers that flow into the reservoir and the effect of large inflows of fresh water during winter storms is easily captured and visualized using this approach.     

IMPACT OF SURFACE COAL MINING ON THREE OHIO WATERSHEDS –PHYSICAL CONDITIONS AND GROUND-WATER HYDROLOGY1

ABSTRACT: A study was conducted over a six-year period in East-Central Ohio to determine the effects of surface mining and reclamation on physical watershed conditions and on ground-water hydrology in three ground-water zones in three small experimental watersheds. Mining disturbances in watersheds adjacent to the experimental sites affected ground-water levels in the undisturbed experimental watersheds prior to actual mining in the experimental sites. New subsurface flow paths, with different characteristics, formed during mining and reclamation. At all three sites mining dewatered the saturated zone above the underclay of the mined coal seam. Mining and reclamation affected ground-water levels below the mined coal seam in the middle and lower zones within at least two sites. Ground-water level recovery in the mined upper saturated zone was slow and irregular both temporally and spatially after reclamation. Hydraulic conductivities of postmining (Phase 3) spoil were generally greater than those of Phase 1 bedrock, but wide spatial variability was observed. Modelers need to be aware of the complexities of new flow paths and physical characteristics of subsurface flow media that are introduced by mining and reclamation, including destruction of the upper-zone clay.     

Heterogeneity of chlorinated hydrocarbon sorption properties in a sandy aquifer

Hydraulic conductivity and sorption coefficients for chlorinated hydrocarbons (chloroform, carbon tetrachloride and tetrachloroethylene) were evaluated for 216 sediment samples collected across a 15 m transect and a 21 m depth interval in a contaminated aquifer near Schoolcraft, Michigan. Relationships between hydraulic conductivity, linear sorption partition coefficients, grain size classes, and spatial location were investigated using linear regression analysis and geostatistical techniques. Clear evidence of layering was found in sorption properties, hydraulic conductivity and grain sizes. Conductivity correlated well with grain size, as expected, but sorption varied inversely with grain size, contrary to some previous reports. No significant correlation was found between sorption properties and hydraulic conductivity. This is likely due to the unexpected presence of small amounts of highly sorptive coal-like solids, which dominate the sorption behavior but have little effect on conductivity. The results demonstrate that recent findings regarding the high sorption capacity of coal materials found in soils can exert a controlling influence on contaminant transport. Designers of in situ remediation systems should be cautioned that 1) it is not reasonable to assume that sorption capacity and hydraulic conductivity are related, 2) sorption capacity and hydraulic conductivity are critical measurements for contaminant site characterization and subsequent transport modeling, 3) estimating sorption capacity from organic carbon measurement may lead to greater errors than performing sorption isotherms, and 4) it is more important to characterize vertical heterogeneity rather than horizontal heterogeneity because both sorption and hydraulic conductivity are correlated across longer distances in the horizontal plane.