缓冲液对微生物燃料电池产电性能影响研究

微生物燃料电池(microbial fuel cell,MFC)应用于废水处理是一项非常有潜力的除污产能的绿色技术.但MFC运行过程中采用磷酸盐缓冲液不符合除污产能要求,增加水体富营养化趋势且增加水处理成本.试验采用单极室微生物燃料电池处理模拟生活污水,以投加PBS(phosphate buffer solution)...     

车载环境γ能谱测量系统探测器设计及性能研究

车载环境γ能谱测量系统探测器是环境γ能谱测量技术领域研究热点。为提高探测效率,缩短测量时间,针对车载环境γ能谱测量系统设计了双NaI(Tl)晶体探测器,并测试了探测器主要性能指标。研究表明,探测器能量分辨率为6.73%,计数稳定性优于4.2%,可识别238U、232Th、40K等核素,可清晰分辨152Eu各能量峰,温度稳定性优于2.93%。可见,该探测器性能优异,具有较强的能量分辨和稳定性,为车载γ能谱测量系统的设计提供了技术基础,也为大体积探测器的设计提供了实验基础,有望在辐射环境监测等领域推广应用。     

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。     

五氟苯甲酰氯衍生色谱法分析水体中痕量羟基多溴联苯醚

以五氟苯甲酰氯(PFBCl)作为衍生化试剂,气相色谱-电子捕获检测器(Gas chromatography-electron capture detector,GC-ECD)为检测手段,建立了水体中痕量羟基多溴联苯醚(Hydroxylated polybrominated diphenyl ethers,简称OH-PBDEs)的酰基化衍生-GC/ECD检测方法.通过实验讨论了衍生化缓冲溶液、衍生化时间以及衍生后萃取溶液异辛烷的用量对检测结果的影响,确定了最佳的衍生化条件.在最佳的衍生化条件下,4-OH-BDE 42、4’-OH-BDE 49、6-OH-BDE 47、2’-OH-BDE 68和6’-OH-BDE 99的衍生化产物均获得了良好的分离度和色谱响应值.本方法的仪器检出限为0.02—0.14 pg,方法检出限为0.61—4.67 pg.L-1,标准曲线线性相关系数的范围为0.9973—0.9996,相对标准偏差均小于10%.3种采自大连市不同地区环境水样的加标回收率检测结果表明,所建立的分析方法适于水体中痕量OH-PBDEs的检测.     

基于3D激光扫描技术的绕腰法采空区资源回收方法研究

针对大多数矿山采空区残留资源回收探测中存在人员、设备进入难,精度低、危险高等问题,我们通过采用三维激光扫描技术恰恰克服了以上困难。应用三维激光自动扫描新技术对采空区进行精密探测,能够安全准确地获取采空区的三维形态和矿石空间分布位置,再通过三维建模软件 Surpac 建立三维可视化实体模型,为回收残留矿石资源提供重要依据;最后通过应用绕腰法综合回收残留矿石,不仅能够减少采准工程量,并把采准与采矿工作很好地结合起来,而且达到了能够高效安全地回采采空区残留矿石目的。工程实例的成功应用,表明此方法在给矿山和国家带来良好的经济社会效益的同时,能够在同类矿山中推广应用。     

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。     

地理探测器方法下北京市人口空间格局变化与自然因素的关系研究

人口空间分布具有尺度特征,从乡镇街道尺度研究自然因素对城市人口空间格局的影响有利于得出更精细的结果,并为城市人口合理布局和规划提供科学依据。论文利用第五、六次人口普查乡镇街道数据,分析北京市人口空间格局特征,利用地理探测器研究自然因素对人口分布的影响。研究表明：1）自然因素对不同类型人口空间格局影响具有差异性。对常住人口作用强度由大到小的自然因素分别是适宜建设用地面积、地形起伏度、坡度、海拔高程和河网密度,对外来人口作用力由大到小的自然因素分别是地形起伏度、适宜建设用地面积、坡度、海拔高程和河网密度;2）自然因素对不同地区人口空间格局影响具有差异性。除适宜建设用地面积外,坡度和河网密度分别对六环内、外区域人口密度影响较大。高程和地形起伏度对六环外人口格局作用力高于六环内地区;3）两类自然因素叠加对人口密度作用的强化方式体现为因素相互协同或因素作用力非线性增加。5类自然因素对人口密度的影响力交互作用探测值为1,各类自然因素对城市人口空间格局的影响力协同增强。     

千河下游水体-沉积物重金属空间分布、风险及影响因素

为了研究千河下游水体-沉积物重金属污染特征、风险程度及其影响因素,采集千河下游表层沉积物19份及水样20份,使用电感耦合等离子体质谱仪（ICP-MS）测定8种重金属（As、Cd、Cr、Cu、Mn、Ni、Pb和Zn）含量,分析了水体中重金属含量和健康风险,对沉积物重金属空间分布及污染特征进行探析,以DEM、气温和降水等11种因子为自变量,结合地理探测器和地理加权回归模型对沉积物重金属污染影响因素进行空间分异探究.结果表明,千河下游8种水体重金属浓度均未超过地表水环境质量标准Ⅱ类水体标准,其中Pb元素变异系数为3.11,浓度高值区主要集中于东岭冶炼公司和凤翔火车站周围.水体成人致癌物R^c均值为7.72E-06,呈较轻风险程度,儿童致癌物R^c均值为1.17E-04,呈强风险程度,成人与儿童非致癌物风险均为可承受风险程度,儿童R_总的高值主要集中在凤翔火车站周边,呈较强风险程度;千河下游沉积物重金属除As和Mn外,其余6种元素均超过陕西省土壤背景值,其中Cd元素含量均值为1.12 mg ·kg^-1,是陕西省土壤背景值的12倍,Cd、Zn和Pb污染较严重,主要分布在长青村、南湾村地区、牛家滩村、高庄和东岭冶炼公司周围;研究区沉积物重金属PLI_zone为1.71,属于轻度污染;DEM、温度和降水是沉积物重金属PLI空间格局的主要自然影响因素,其交互作用均为非线性增强,对沉积物重金属空间污染扩散起到一定驱动作用.     

Worst-case identification of gas dispersion for gas detector mapping using dispersion modeling

To quickly and accurately quantify the material release in process units, gas detectors may be placed according to the results of gas dispersion modeling. DNV's PHAST software is one of the most useful and reliable tools for material dispersion modeling. In this software, fluid dispersion is modeled based on the process conditions, the weather conditions and the specifications of the material release point. However, varying weather conditions throughout the year and the exact determination of the release point on the plot plan and the release elevation are problematic; these issues cause the results to be non-exact and non-integrated. Choosing the most appropriate conditions is challenging. In this paper, a scheme was provided to select the most appropriate conditions for gas dispersion modeling. This scheme approaches modeling based on the worst-case scenario (the situation in which the dispersed gas reaches the detector later in comparison to the other cases). Therefore, different weather conditions, release elevations and release points on the plot plan were modeled for an absorber tower of the Gonbadli Dehydration Unit of the Khangiran Refinery. The worst case of each release condition was then chosen. Finally, gas detectors were placed using the gas dispersion modeling results based on the worst-case scenario.