TiO2光催化降解水中内分泌干扰物17β-雌二醇

以低压汞灯为光源,采用间歇式光氧化反应器,研究了17β-雌二醇(E2)在纳米TiO₂(Degussa P-25)悬浆体系中的光催化降解.考察了溶液pH、E2初始浓度、TiO₂光催化剂投加量、UV光强、H₂O₂、O₂对E2光催化降解的影响.结果表明,TiO₂光催化工艺可以有效地去除水中的E2,E2的光降解过程符合一级反应动力学模型;TiO₂投加量为200　mg/L时,在14 W低压汞灯照射下,初始浓度为400 μg/L 的E2在自来水中的光降解一级反应速率常数为0.018 min^-1,E2的光催化降解速率常数与其初始浓度、TiO₂光催化剂的用量、溶液的pH值、UV光强等因素有关;外加H₂O₂、O₂可以影响催化剂的光降解效率.     

X射线防护服所需铅当量的研究与应用

铅当量是X射线防护服最重要的性能指标,铅当量的大小决定着X射线防护服屏蔽X射线的能力。X射线防护服的铅当量有不同的等级,需根据不同的X射线照射条件和工作情况选择使用。本文通过计算给出了几种常用管电压下防护服屏蔽散漏X射线所需的铅当量值,可为X射线防护服的使用单位或个人在购买和使用时提供参考。选择适合铅当量的X射线防护服,可以避免因选用的防护服或用具铅当量不足而达不到有效屏蔽X射线的效果,造成健康的危害;也可以避免因选用过大铅当量的X射线防护服或用具,致使作业人员过多负重,导致疲劳,发生人为失误,也可以避免造成不必要的经济浪费。另外,为了保证X射线防护服的使用效果,本文给出了X射线防护服的检验、贮存和使用等管理方法。     

冶炼粉尘在人体呼吸系统的沉积仿真模拟研究

在广泛参考各种上呼吸道物理模型的基础上,运用软件Solid Works建立对称与非对称的两种一级支气管的三维几何模型.采用计算流体软件ANSYS CFX对人体支气管内两相流动进行计算,模拟气流、粉尘在呼吸道内的流动.在具有代表性的流量为30 L/min、60L/min和90 L/min呼吸强度下,对空气的速度,压力以及粒子在气管内沉积进行对比分析.结果表明:粒子沉积部位主要在分叉面和分支内壁面上;相同流量下,管径越细粒子的沉积量越大.     

蒙特卡洛模拟方法在苯致癌风险评价中的应用

在将PBPK模型与剂量-反应的多阶模型相结合用于苯职业暴露的致癌风险评价研究的基础上,首先利用Euler数值解法,借助Excel电子表格对模型进行求解;然后针对风险评价中存在的不确定性,采用Crystal ball软件的蒙特卡洛模拟方法对致癌风险进行概率分布规律研究;通过实地收集数据,使用该方法对某涂料生产项目进行苯暴露致癌风险定量分析.理论分析和实地验证表明,该方法计算出的风险值符合实际发病情况.该方法可以定量评估对人体有害的职业暴露危险源,提供工人致癌风险的概率数据.     

基于MMAS-BP的煤与瓦斯突出强度预测

为提高煤与瓦斯突出强度的预测精度及预测速度,用最大最小蚂蚁系统和BP神经网络相结合的方法进行预测模型设计。根据煤与瓦斯突出强度及其主要影响因素之间的关系数据,建立其神经网络的预测模型。以网络的权值和阈值为自变量,网络误差为目标函数,通过蚁群算法的迭代运算,搜索出误差的全局最小值,以实现BP神经网络的初始权值、阈值优化,并用优化后的网络进行瓦斯突出强度的预测。实例结果表明,MMAS-BP算法的预测值均方差为0.089,约为BP神经网络的0.1倍,且输出稳定性好,适用于煤与瓦斯突出强度的预测。     

非承重草砖墙体的耐火性能试验分析

为研究草砖房的耐火性能,根据目前使用最多的砖混框架结构草砖房的结构特点,采用尺寸为1 000 mm×480 mm×360 mm草砖砌成宽3 000 mm,高3 000 mm,厚400 mm的非承重的草砖墙体作为试验用构件,利用大型垂直构件耐火试验炉,采用标准火灾升温曲线进行升温,对实体构件进行耐火性能试验。采用K型热电偶记录背火面的温升情况,研究其火灾试验过程中的耐火完整性和耐火隔热性,判断其耐火极限。试验结果表明,非承重草砖墙体具有良好的耐火性能,其耐火极限不低于3.0 h。同时,在这种结构的草砖墙体中,草砖外侧的抹灰层有效地阻挡火灾初期火的侵蚀;钢丝网片有效地起到固定草砖的作用;紧密压实的草砖其内部没有足够的可助燃的氧,且草砖表层暴露于火焰中形成炭化层阻止了火焰进一步向其内部蔓延。     

Markov reliability model research of monitoring process in digital main control room of nuclear power plant

Monitoring process is an important part in a high safety digital main control room of nuclear power plant (NPP), it is the source extracted information and found abnormal information in time. As the human factors events arisen from monitoring process recently take place more and more frequent, the authors propose a reliability Markov model to effectively decrease these abnormal events. The model mainly analyzes next monitoring object probability in terms of current information and plant state. The authors divide digital human–machine interface into two parts that are referred as logical homogeneous Markov and logical heterogeneous Markov. For the former, a series of methods of probability evaluation are proposed, such as, Markov transition probability with condition, probability distributed function with human factors, system state and alarm; for the latter, the authors propose the calculation of probability of correlation degree between last time and next time and probability calculation methods with multi-father nodes. The methods can effectively estimate the transition probability from a monitoring component to next monitoring component at time t, can effectively analyze which information is more important in next monitoring process and effectively find more useful information in time t + 1, so that the human factors events in monitoring process can greatly be decreased.     

在役高压设备的监测与安全评定

随着新的无损检测技术和断裂力学的发展,对含缺陷结构承压容器的安全评估已成为可能.综述了在役高压容器安全监测的特点和新的无损检测技术的应用进展,提出了建立基于安全监测数据库系统的在役高压设备检测方案和安全评定方法.     

Determination of total petroleum hydrocarbons (TPH) in agricultural soils near a petrochemical complex in Guangzhou,China

The total petroleum hydrocarbons (TPH) pollution in regional agricultural soils was investigated. Seventy soil samples collected from surface layers (0–20 cm) and horizons of five selected pedons in the vicinity of a petrochemical complex in Guangzhou, China were analyzed, and the vertical variation and spatial variability of TPH were evaluated. The TPH concentration in top soils around the petrochemical complex ranged from 1,179.3 to 6,354.9 mg kg^− 1, with the average of 2,676.6 mg kg^− 1. Furthermore, significant differences between land-use types showed that the TPH concentration in top soils was strongly influenced by accidental spills. Both the TPH trends in pedons and the identified hot-spot areas also showed that the accidental explosions or burning accidents were mainly responsible for the pollution. The results reported here suggest that the regular monitoring and inspection shall be conducted for safety and to avoid or minimize the accidents, and the effective measures should be taken to remediate the contaminated areas and to assure that the important industrialization of Guangzhou area would not mean human health risks near the petrochemical complex.     

Evaluating the difference between the normalized difference vegetation index and net primary productivity as the indicators of vegetation vigor assessment at landscape scale

Both the net primary productivity (NPP) and the normalized difference vegetation index (NDVI) are commonly used as indicators to characterize vegetation vigor, and NDVI has been used as a surrogate estimator of NPP in some cases. To evaluate the reliability of such surrogation, here we examined the quantitative difference between NPP and NDVI in their outcomes of vegetation vigor assessment at a landscape scale. Using Landsat ETM+ data and a process model, the Boreal Ecosystem Productivity Simulator, NPP distribution was mapped at a resolution of 90 m, and total NDVI during the growing season was calculated in Heihe River Basin, Northwest China in 2002. The results from a comparison between the NPP and NDVI classification maps show that there existed a substantial difference in terms of both area and spatial distribution between the assessment outcomes of these two indicators, despite that they are strongly correlated. The degree of difference can be influenced by assessment schemes, as well as the type of vegetation and ecozone. Overall, NDVI is not a good surrogate of NPP as the indicators of vegetation vigor assessment in the study area. Nonetheless, NDVI could serve as a fairish surrogate indicator under the condition that the target region has low vegetation cover and the assessment has relatively coarse classification schemes (i.e., the class number is small). It is suggested that the use of NPP and NDVI should be carefully selected in landscape assessment. Their differences need to be further evaluated across geographic areas and biomes.