第二松花江中下游沉积物汞的时空变化规律

将1973、1976、1983、1991年和本次的研究结果进行对比分析,得出了第二松花江中下游表层沉积物汞含量的时间变化规律.1976年以前汞含量处于增加趋势;1976～1982年汞含量有所下降;1982年汞污染源被切断,汞含量骤降;随后,汞污染浓度处于缓慢净化时期.将本次采集的沉积物样品分为3个粒度等级,最后以63 μm粒级的沉积物汞含量为代表分析了汞的水平变化规律,总体趋势是,排污口处汞含量最高;哨口至朝阳桥断面汞含量增加;朝阳桥至五家站断面,汞含量骤降,在五家站断面汞含量达到最小值;五家站至泔水缸断面汞含量又略有增加.并给出了本次研究中各断面沉积物汞的垂直变化规律.     

UASB-BIOFOR滤池组合工艺处理柠檬酸废水的中试研究

采用UASB-BIOFOR滤池组合工艺处理柠檬酸废水,对其中的操作步骤及注意事项进行了详细介绍.实验结果表明,该组合工艺对柠檬酸废水处理效果良好,系统出水能够达到GB 8978-1996《污水综合排放标准》中的一级标准.     

充填体与岩体能量和强度匹配的分析及应用

矿山嗣后充填法中,采用经验类比法判定胶结充填体的强度存在诸多问题。利用新的方法来分析充填体与岩体的匹配是必要的。对某铜矿灰砂比为1∶6、1∶8、1∶10和1∶12的4种尾砂胶结充填体进行力学试验和匹配分析。首先利用损伤力学方法建立充填体破坏前本构方程,根据岩体开挖释放能量与充填体蓄积应变能相近的原则,来判定岩体与充填体的匹配;然后运用GTS/MI-DAS有限元软件模拟开采-充填过程,根据应力变化与充填体极限强度的大小关系判定两者的匹配。2种方法所得到的结论一致。分析结果表明,该矿山宜采用充填配比不小于1∶10的尾砂胶结充填体。     

火灾下梁柱端板连接节点的力学性能研究

通过火灾作用下门式刚架半刚性端板连接节点ANSYS计算模型的分析,得出了节点的转角温度关系及转角达到极限状态时的临界温度,为分析节点在火灾下的转动性能和节点的抗火能力提供一种经济、可行的方法,并发现在进行ANSYS模型抗火计算时,采用EC3高温下钢材特性较为合理。对基于计算的钢结构节点抗火设计方法研究具有理论意义和工程...     

大型超市安全管理的定量评价研究

为了有效地评估大型超市的安全管理情况,提高其安全管理水平,根据大型超市的主要危险因素、事故特点等,从安全管理组织和制度、员工的安全管理、设备设施的安全管理、商品安全管理、环境安全管理和事故应急管理六个方面建立了大型超市安全管理定量评估指标体系。该指标体系共分为两级指标,采用层次分析法确定一级指标权重,采用德尔菲专家咨询法确定二级指标权重,建立了大型超市安全管理定量评估模型。为方便对大型超市的安全管理情况进行准确、快速地评估,利用于EXCEL软件建立了大型超市安全管理定量评估系统。     

珠三角地区城市雨洪过程模拟与计算——以佛山市南海区北村水系为例

受城市化快速发展及其内在的土地利用、水系调整、高架桥建设等复杂因素影响,城市降雨、入渗、蒸发、径流及其污染物输移过程已发生很大改变,由此导致的城市内涝与水环境污染等问题已经成为制约当地经济社会可持续发展的重要因素.基于城市雨洪径流传输过程模拟模型SWMM(Storm Water Management Model)对广东省佛山市南海区北村水系雨洪过程进行模拟计算,分析得到不同降雨和土地利用条件下北村水系雨洪可利用量及径流过程、地表污染物入河量及输移过程规律.结果表明,随降雨频率的减小,北村水系主要控制点的径流总量增大,面源污染物总量增大,通过增加城市绿地面积可以有效地减少洪水总量以及消减洪峰流量.     

外源Cd、Cd - Zn复合污染对绿豆苗的影响

采用盆栽试验,分别向磁器口土样(土壤1)、校园土样(土壤2)中添加不同质量比的Cd及不同质量比的Zn+ Cd(20 mg/kg),研究不同质量比外源CA及Zn+Cd(20 mg/kg)复合污染对两种土壤中绿豆苗株高及绿豆苗吸收Cd的影响.结果表明:单一外源不同质量比Cd污染绿豆苗时,生长期为7d的绿豆苗株高较对照组有明显下降,随Cd污染加剧,绿豆苗生长受到抑制,随生长期延长而其危害加剧;随Cd污染的加剧,绿豆苗中Cd质量比增加,并呈正相关性,相同污染水平下,生长期为7d的绿豆苗Cd质量比均大于生长期为3d的;在不同污染水平下,土壤1的绿豆苗株高高于土壤2,其绿豆苗Cd质量比低于土壤2;Zn+ Cd(20 mg/kg)复合污染时,株高较对照组矮,绿豆苗中Cd质量比随着Zn质量比增加而增加,呈正相关,表现为协同作用;对比土壤1和土壤2,土壤2的株高较低,但其绿豆苗中Cd质量比在不同水平下均高于土壤1.     

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.     

浅谈滨海湿地生态环境退化监测与评价

指出了滨海湿地面临的主要环境问题。简述了美国、欧洲、澳大利亚等滨海湿地现状及监测评价方法。对我国滨海湿地管理与研究进展进行了分析探索。     

Quantifying interactions between propranolol and dissolved organic matter (DOM) from different sources using fluorescence spectroscopy

Beta blockers are widely used pharmaceuticals that have been detected in the environment. Interactions between beta blockers and dissolved organic matter (DOM) may mutually alter their environmental behaviors. To assess this potential, propranolol (PRO) was used as a model beta blocker to quantify the complexation with DOM from different sources using the fluorescence quenching titration method. The sources of studied DOM samples were identified by excitation–emission matrix spectroscopy (EEMs) combined with fluorescence regional integration analysis. The results show that PRO intrinsic fluorescence was statically quenched by DOM addition. The resulting binding constants (log K _oc) ranged from 3.90 to 5.20, with the surface-water-filtered DOM samples claiming the lower log K _oc and HA having the highest log K _oc. Log K _oc is negatively correlated with the fluorescence index, biological index, and the percent fluorescence response (P _i,n) of protein-like region (P _I,n) and the P _i,n of microbial byproduct-like region (P _II,n) of DOM EEMs, while it is correlated positively with humification index and the P _i,n of UVC humic-like region (P _III,n). These results indicate that DOM samples from allochthonous materials rich in aromatic and humic-like components would strongly bind PRO in aquatic systems, and autochthonous DOM containing high protein-like components would bind PRO more weakly.