微波消解样品-电感耦合等离子体原子发射光谱法测定锌精矿中镉、砷和汞

锌精矿是近年来我国进口的大宗资源性商品之一,其中含有镉、砷和汞等多种微量有害金属元素,在加工冶炼过程中,这些微量有害金属元素不但影响产品的质量,降低冶炼价值,而且会从相对封闭的环境进入开放的环境,对人类环境产生污染,严重危害人们的身体健康,因此,测定并严格控制进口锌精矿中有害金属元素含量非常重要。国家标准GB20424—2006《重金属精矿产品中有害元素的限量规范》已限制锌精矿中镉、砷、汞有害金属元素含量,后     

MSA-DUO-ICP-AES测定菜园土壤中高关注重金属预处理探讨

比较加入几种不同的混酸,用微波消解仪对土壤样品进行消解,采用双向视电感耦合发射光谱仪(DUO-ICP-AES)标准加入法(MSA)测定土壤中6项重金属元素含量。研究表明,HNO3-HClO4-HF-HCl处理土壤的效果比王水、HNO3-HF更佳,同时该法快速简单,回收率和精密度较好,干扰少,为土壤重金属含量的快速测定开辟了新方法。     

A traffic flow cellular automaton model to considering drivers’ learning and forgetting behaviour

It is known that the commonly used NaSch cellular automaton (CA) model and its modifications can help explain the internal causes of the macro phenomena of traffic flow.However,the randomization probability of vehicle velocity used in these models is assumed to be an exogenous constant or a conditional constant,which cannot reflect the learning and forgetting behaviour of drivers with historical experiences.This paper further modifies the NaSch model by enabling the randomization probability to be adjusted on the bases of drivers’ memory.The Markov properties of this modified model are discussed.Analytical and simulation results show that the traffic fundamental diagrams can be indeed improved when considering drivers’ intelligent behaviour.Some new features of traffic are revealed by differently combining the model parameters representing learning and forgetting behaviour.     

高频炉直接燃烧-红外光谱法测定铁矿石中硫的应用

综述了高频炉直接燃烧-红外光谱法测定铁矿石中硫含量的应用,特别探讨了称样量、助熔剂加入量、试剂堆积次序、分析时间、坩埚处理方法及净化剂等因素的影响(引用文献23篇)。