Fracture Characterization Using Borehole Radar: Numerical Modeling

Forward modeling of borehole radar data for a series of synthetic discrete-fracture network (DFN) models provides a conceptual framework for interpreting experimental field data at fractured rock sites. A finite-difference time-domain (FDTD) radar wave propagation model was developed for this purpose. Synthetic examples demonstrate the utility of single-hole reflection-mode and cross-hole transmission-mode borehole radar for (1) identification of fracture location and orientation, and (2) identification of fracture pore-fluid properties, which might change as a result of tracer tests or flooding exercises in support of resource development or site remediation. A two-dimensional, synthetic DFN was generated statistically based on hypothetical distributions of fracture length, orientation, aperture, permeability, and inter-connectivity. The DFN includes a zone of permeable fractures embedded within a network of lower-permeability fractures and a low-permeability rock matrix. We modeled the unconnected and non-permeable fractures as being filled with freshwater. To simulate tracer experiments, contaminant releases, or engineered-remediation processes, we considered alternately the inter-connected, permeable fractures to be filled with freshwater air, or saline water (tracer). Synthetic radar data sets for both single-hole reflection and cross-hole transmission modes were generated. The features in synthetic radargrams were then examined and compared to the DFN model to evaluate the likelihood of identifying fracture location, orientation, and pore fluid in field situations. This comparison demonstrates that (1) the replacement of freshwater with saline water in permeable fractures generally increases the amplitude of reflections from permeable, connected fractures; and (2) in general, radar reflection-mode data contains more information about fracture properties than transmission-mode data.     

Waste collection multi objective model with real time traceability data

Waste collection is a highly visible municipal service that involves large expenditures and difficult operational problems, plus it is expensive to operate in terms of investment costs (i.e. vehicles fleet), operational costs (i.e. fuel, maintenances) and environmental costs (i.e. emissions, noise and traffic congestions). Modern traceability devices, like volumetric sensors, identification RFID (Radio Frequency Identification) systems, GPRS (General Packet Radio Service) and GPS (Global Positioning System) technology, permit to obtain data in real time, which is fundamental to implement an efficient and innovative waste collection routing model. The basic idea is that knowing the real time data of each vehicle and the real time replenishment level at each bin makes it possible to decide, in function of the waste generation pattern, what bin should be emptied and what should not, optimizing different aspects like the total covered distance, the necessary number of vehicles and the environmental impact. This paper describes a framework about the traceability technology available in the optimization of solid waste collection, and introduces an innovative vehicle routing model integrated with the real time traceability data, starting the application in an Italian city of about 100,000 inhabitants. The model is tested and validated using simulation and an economical feasibility study is reported at the end of the paper.     

海水淡化全成本分析及其发展前景探讨——以天津北疆电厂海水淡化项目为例

水资源短缺是全球关注的重大环境问题,而中国是全球最为缺水的国家之一。选取天津北疆发电厂海水淡化项目进行成本实证评估与分析,进行全成本的构成分析和综合核算评估,进而与其他新型水资源利用方法(南水北调、中水回用与污水资源化、雨水利用)进行成本比较与分析,探讨其海水淡化模式应对京津地区水资源危机的可行性。     

我国废电子产品处理技术及运行成本分析

通过研究分析国内外废电子电器产品处理技术,结合我国废电子产品处理技术现状,提出在我国合理适用的废电子产品处理工艺路线,并核算其运行成本.     

带混合时间窗的多目标危险化学品运输路径优化

为降低危险化学品运输风险,使路径选择更加科学、切合实际,从责任主体、社会影响等方面综合考虑危险化学品运输相关主体,根据各主体目标对影响运输路径选择的指标进行重新识别和细分,提出5大指标体系.应用熵权法计算出各指标权重,建立混合时间窗条件下的多目标危化品运输路径优化模型,通过改进的多目标遗传算法求出Pareto最优解.结果表明,不同时间点出发会产生不同的Pareto最优解,并且可得到每条最优路径的出发时间窗,每个最优解代表了某项指标达到相对最优时的路径.混合时间窗较符合实际情况,基于出发时间窗及生成的多条最优路径,决策者可根据决策偏好及关注重点以较高效率选出最合适的路径.     

基于需求时间的隧道塌方应急资源分级调度研究

为打破对物资送达时间的绝对性限制,均衡关注关键考量因素,提出需求时间的概念,借助ArcGIS绘制需求时间服务范围;考虑救援需求的不确定性,在需求时间服务范围内建立模型对应急资源进行分级调度,并对关键路段及交叉口制定应急交通管控预案.模型包括2部分,在路径决策方面,建立带需求时间和畅通可靠度阈值约束的路径选择决策综合评价...     

典型娱乐场所火灾期间人员行为分析

建筑火灾的频发,引起人们对火灾过程中人员行为的极大关注。利用视频信息提取典型公共娱乐场所火灾过程中不同人员在火灾迹象觉察和确认时间的差异,又结合FDS模拟得到的火灾温度场变化规律,分析了人员在火灾期间的不同行为表现以及相应的非理性心理状态,指出了相关的主客观原因,有利于加强人们的火灾灾害意识和安全逃生意识;同时文中的相关结论也可以为建筑物消防性能化设计、人员安全疏散提供参考。     

粉煤灰-煤矸石基胶结充填材料制备与性能研究

为了解决我国煤矿采空区地表沉陷以及\"三下\"压煤资源浪费的问题,提出以粉煤灰-水泥熟料-脱硫石膏复合胶凝材料为胶结材,原状粉煤灰为细骨料,破碎后的煤矸石为粗骨料制备新型煤矿开采胶结充填材料。依据正交试验结果和各因素影响规律趋势图,确定充填材料的优化配合比。研究结果表明,适当增大水泥熟料掺量可缩短材料初凝时间,减小水胶比能使材料强度显著提高,而材料坍落度可通过选取适宜的浆体中的固体质量分数和灰矸比来有效调节,当胶凝材料中水泥含量为15%,脱硫石膏含量为8%,水胶比为2,灰矸比为2∶3,浆体中的固体质量分数为70%时,充填材料性能可达到最佳。通过试验优选材料各项参数,工业废弃物可以用来制备高质量的胶结充填材料。     

序批式反应器处理精对苯二甲酸废水

采用序批式反应器（SBR）处理模拟精对苯二甲酸（PTA）废水,考察了曝气量、沉降时间、进水方式等对对苯二甲酸（TA）生物降解效果的影响。实验结果表明,对于TA质量浓度小于1500mg／L的废水,采用完全曝气SBR运行4h,TA和COD的去除率均能达到95％以上,TA平均去除速率随TA浓度的增加而增大。TA质量浓度为1500mg／L时,曝气量、沉降时间和进水方式是影响其降解效果的主要因素。采用SBR处理高浓度PTA废水可克服污泥膨胀和抗冲击负荷能力弱的问题,且系统的稳定性和PTA废水的处理效果较好。     

叶片大气颗粒物滞纳能力评估方法的定量对比

为探究基于相同实验材料和叶面积测定方法的前提下,5 种评估叶片滞尘能力方法的差异,并在此基础上归纳总结各方法的优缺点,本研究以北京市常见、叶片特征区别较大的4个城市绿化树种油松(Pints tabuliformis)、侧柏(Platycfadus orientalis)、银杏(Ginkgobiloba)和一球悬铃木(P...