碎石土边坡破坏机理的敏感性分析

在碎石土类边坡中常常发育稳定的地下水管网排泄系统,它们对控制地下水水位上升,保持边坡稳定十分重要。以官家滑坡为例,通过对滑坡稳定性系数有关的各因素敏感性分析,发现地下水是影响边坡变形破坏以及复发破坏的最主要因素。当坡脚开挖或坡体堆载时,会破坏管道状地下水排泄系统,降雨入渗导致地下水水位升高,从而引起坡体内孔隙压力比、水头高度和水力坡度增大,使潜在滑面上的孔隙水压升高,影响碎石土边坡的稳定性;同时,地下水位的升高降低了土体的内摩擦角,而因素敏感性分析发现,内摩擦角对边坡失稳具有极其重要的影响。在官家滑坡的后期治理中,治水作为主要工程措施的理念已经得到很好的贯彻,效果十分明显。     

基于GIS的可视化土质边坡稳定性分析系统研究

结合GIS空间数据分析能力与极限平衡法开发了可视化的土质边坡稳定性分析系统GiSlope,介绍了边坡几何模型、外荷载与加筋结构模型、滑动面及地下水位线模型等分析模型的可视化建立过程,阐述了计算分析的设定、任意形状滑动面土条条分方法以及计算参数的确定方法。通过对几个典型实例的分析与国内外商业软件计算结果的对比,验证了系统计算的正确性和可靠性。     

有限空间作业人员生理状态监测设备研制

为监测有限空间作业人员异常生理状况,进而保障有限空间作业安全与作业人员生命健康,在分析手腕处6个测量位置信号质量的基础上,获得最佳信号采集位置,并结合事故成因,从光电容积脉搏波(PPG)信号中提取心率、脉搏周期、振幅等生理参数作为评价指标,研制一款针对有限空间特殊作业人群的手腕处脉动生理信息监测设备;并进行系统稳定性测...     

堆石坝加筋坝坡稳定性数值模拟研究

地震作用下堆石坝坝顶堆石的稳定性值得关注。对格栅加筋堆石坝坝坡稳定性的影响进行了数值模拟;用拟静力法模拟水平和竖直向地震动荷载,运用考虑地震荷载的瑞典圆弧滑动法,对坝体整体和坝顶局部区域坝坡稳定性进行了模拟研究;对格栅加筋堆石坝的机理进行了探讨。计算结果表明,加筋可以有效提高坝顶局部区域的抗震性能和坝坡稳定安全系数,且随着格栅加筋层数和格栅抗拉强度的增加,其加筋效果愈加显著。     

路堑节理边坡开挖稳定性及影响因素分析

以某公路节理岩质边坡为工程背景,首先利用FLAC3D建立该边坡的数值分析模型,计算得到5台阶开挖的安全系数分别为2.62、2.39、1.61、1.06、0.67,并确定其破坏模式为双滑块平面剪切破坏;然后针对边坡的破坏模式建立理论计算模型,分别改变节理的倾角和力学参数(c,),分析它们对稳定性的影响。结果表明:变化下滑块节理面的倾角时,安全系数先变小,而后逐渐增大;变化上滑块节理面的倾角时,安全系数逐渐增大;当c1、c2取值较小时,两者的变化对于安全系数的影响基本相同,但随着取值的增大,c2的影响效果逐渐大于c1。     

基于尾涡强度的无人机与民机纵向安全间隔评估研究

为了解决无人机频频入侵机场净空,与民航客机发生危险接近的问题,以碰撞风险为量化指标,对无人机与民机需要保持的纵向安全间隔进行评估研究。分析民机尾涡流场对无人机运行的影响,利用Crow近场涡强度消散理论,得到实际尾迹影响区改进Reich碰撞模板,据此建立CNS/GPS性能环境下的纵向间隔评估模型,通过Matlab进行间隔值求解。研究结果表明:模型可以较为准确地反映民机起飞初始爬升阶段无人机尾随运行时导航性能和尾涡迹对所需最小间隔值的影响,并得到给定安全目标水平的计算结果。     

某水电站进水口边坡变形特征及稳定性评价

某水电站是澜沧江中、下游梯级开发的关键工程,其进水口高边坡地质条件复杂。通过对该电站进水口边坡的物质组成、结构特征、以及边坡开挖等因素的综合分析研究,阐述了其变形机理,说明此高边坡存在如下变形破坏形式:①楔形体滑动破坏;②扩展式的平面型塌滑和滑移型崩塌破坏;③卸荷松弛变形破坏。采用三维块体分析和有限元数值模拟,分析了这类边坡在开挖过程中的应力变形特征及其变化规律。     

Cancer and Non-Cancer Health Risk from Eating Cassava Grown in Some Mining Communities in Ghana

Food crops such as cassava, cocoyam and other tuber crops grown in mining communities uptake toxic or hazardous chemicals such as arsenic, and cadmium, from the soil. Cassava is a stable food for Ghanaians. This study evaluated human health risk from eating cassava grown in some mining communities in Ghana such as Bogoso, Prestea, Tarkwa and Tamso, which are important mining towns in the Western Region of Ghana. The study evaluated cancer and non-cancer health effects from eating cassava grown in the study areas in accordance with US Environmental Protection Agency’s Risk Assessment guidelines. The results of the study revealed the following: cancer health risk for Tamso, 0.098 (RME – Reasonable Maximum Exposure) and 0.082 (CTE – Central Tendency Exposure). This means that approximately 10 and 8 out of 100 resident adults are likely to suffer from cancer related cases by RME and CTE parameters respectively. For Prestea, we have 0.010 and 0.12, which also means that approximately 1 out of 100 and 10 resident adults out of 100 are also likely to suffer from cancer related diseases by RME and CTE parameters. The results of the study obtained were found to be above the acceptable cancer risk range of 1× 10⁻⁶ to 1× 10⁻⁴, i.e., 1 case of cancer out of 1 million or 100,000 people respectively.     

Element patterns in albatrosses and petrels: Influence of trophic position, foraging range, and prey type

We investigated the concentrations of 22 essential and non-essential elements among a community of Procellariiformes (and their prey) to identify the extent to which trophic position and foraging range governed element accumulation. Stable isotope analysis (SIA) was used to characterise trophic (δ¹⁵N) and spatial patterns (δ¹³C) among species. Few consistent patterns were observed in element distributions among species and diet appeared to be highly influential in some instances. Arsenic levels in seabird red blood cells correlated with δ¹⁵N and δ¹³C, demonstrating the importance of trophic position and foraging range for arsenic distribution. Arsenic concentrations in prey varied significantly across taxa, and in the strength of association with δ¹⁵N values (trophic level). In most instances, element patterns in Procellariiformes showed the clearest separation among species, indicating that a combination of prey selection and other complex species-specific characteristics (e.g. moult patterns) were generally more important determining factors than trophic level per se.     

Impact of demographic dynamics on CO_2 emissions in Sichuan,China

Global climate change is one of the major environmental issues faced by humans.Existing evidence indicates that the anthropogenic push for a rise in the atmospheric concentration of greenhouse gases(GHGs)(particularly CO_2)has been a primary cause for global warming.Aside from economic and teclinological factors,demographic dynamics(including human consumption in a broad demographic sense)has been a major driver for CO_2 emissions.In this paper,we performed both nonlinear regression analysis(based on the STIRPAT model)and gray correlation degree analysis(based on gray system theory)on the impact of demographic dynamics on CO_2 emissions.Our results reveal that CO_2 emissions are positively correlated with population size and GDP per capita and negatively correlated with energy intensity.We also show that gray correlation degree with CO_2 emissions for five variables(i.e.,household consumption,urbanization rate,household size,population aging rate,population size)varies substantially:household consumptionurbanization ratehousehold sizepopulation aging ratepopulation size,with household consumption being the highest,and population size the lowest.To mitigate the impact of demographic dynamics on CO_2 emissions,it is of vital significance to nurture people's awareness of sustainable consumption and to adhere to current population control policies.