稀土镧改性聚合硫酸铁机理分析及其应用

为进一步提高无机高分子絮凝剂的处理效果并降低处理成本,研究"一步法"絮凝剂制备工艺,同时引入稀土镧对絮凝剂进行改性处理,制备固体稀土镧聚合硫酸铁絮凝剂(La-PFS).实验通过响应面优化絮凝性能,研究结果表明.聚合温度为123℃、镧铁摩尔比为1∶105.56、OH~-/Fe摩尔比为0.19时,制备产品对高浊度废水除浊效率效果达到99.41%.引入稀土镧在一定程度上增长絮凝剂链状结构,增强吸附能力.在对造纸废水处理中,稀土镧聚合硫酸铁对造纸废水处理效果明显优于传统市售絮凝剂,絮凝沉淀速度有较大提升,浊度去除率达到68%,COD_(Cr)去除率达到35%.     

我国辐射环境监测法规体系研究

通过对我国辐射环境监测相关法规的调研,在深入分析当前辐射环境监测法规框架结构和突出问题的基础上,构建我国辐射环境监测法规体系,重点关注辐射环境质量监测、核与辐射监督性监测及应急监测等方面的工作需求,提出完善部门规章、健全核安全导则及规范性文件的建议。     

加速溶剂同时萃取和净化-气相色谱-三重四极杆串联质谱测定土壤和沉积物中8种多溴联苯醚

建立了土壤和沉积物中8种多溴联苯醚(PBDEs,BDE-28、BDE-47、BDE-99、BDE-100、BDE-153、BDE-154、BDE-183和BDE-209)加速溶剂同时萃取和净化-气相色谱-三重四极杆串联质谱(ASE-GC-MS-MS)的分析方法。通过优化加速溶剂萃取与弗罗里硅土在线净化和串联质谱多反应监测模式的条件,较好地去除基质干扰,并提高了三重四极杆串联质谱定性的准确性及定量的灵敏性。该方法采用改进的色谱柱能同时分析包括高溴代联苯醚BDE-209在内的8种PBDEs,其浓度范围为1～100 ng/mL(BDE-209为10～1 000 ng/mL),线性良好,线性回归系数均大于0.997。方法检出限为0.004～0.1 ng/g,方法回收率为75%～110%,方法精密度为2.4%～15.6%。适于批量处理土壤和沉积物中含有多组分痕量PBDEs的样品。     

单宁为模板制备纳米二氧化钛 及其对钍的吸附性能

以杨梅单宁(BT)为模板,水热法合成纳米二氧化钛(BT-NTO)。采用XRD、FTIR、SEM和TEM技术对BT-NTO的结构及形貌进行了表征。将BT-NTO用于吸附溶液中的Th~(4+),在溶液pH为3.5、温度为25℃、Th~(4+)初始浓度为0.5 mmol/L的条件下,BT-NTO对Th~(4+)的吸附量为0.905 8 mmol/g;吸附过程符合准二级动力学方程和Langmuir等温吸附方程;溶液中共存的Zn~(2+)、Ni~(2+)、Co~(2+)、Sr~(2+)、Yb~(3+)、Nd~(3+)、Sm~(3+)、Gd~(3+)、La~(3+)、Cl-、ClO4-离子对Th~(4+)吸附量影响较小;BT-NTO的重复使用性能较好。     

资源型城市可持续发展能力的演变与调控

作为特殊的经济区，资源型城市的衰落与振兴日益成为社会关注的热点。本文从分析资源型城市可持续发展能力入手，论述了资源型城市发展能力的成长阶段及演变特征，提出了资源城市可持续发展能力调控的模式和途径。     

Contamination of Canadian and European bottled waters with antimony from PET containers

Using clean lab methods and protocols developed for measuring Sb in polar snow and ice, we report the abundance of Sb in fifteen brands of bottled water from Canada and forty-eight from Europe. Comparison with the natural abundance of Sb in pristine groundwaters, water bottled commercially in polypropylene, analyses of source waters prior to bottling, and addition of uncontaminated groundwater to PET bottles, provides unambiguous evidence of Sb leaching from the containers. In contrast to the pristine groundwater in Ontario, Canada containing 2.2 +/- 1.2 ng l(-1) Sb, 12 brands of bottled natural waters from Canada contained 156 +/- 86 ng l(-1) and 3 brands of deionized water contained 162 +/- 30 ng l(-1); all of these were bottled in PET containers. Natural water from Ontario bottled in polypropylene contained only 8.2 +/- 0.9 ng l(-1). Comparison of three German brands of water available in both glass bottles and PET containers showed that waters bottled in PET contained up to 30 times more Sb. To confirm that the elevated Sb concentrations are due to leaching from the PET containers, water was collected in acid-cleaned LDPE bottles from a commercial source in Germany, prior to bottling; this water was found to contain 3.8 +/- 0.9 ng l(-1) Sb (n = 5), compared with the same brand of water purchased locally in PET bottles containing 359 +/- 54 ng l(-1) (n = 6). This same brand of water in PET bottles, after an additional three months of storage at room temperature, yielded 626 +/- 15 ng l(-1) Sb (n = 3). Other German brands of water in PET bottles contained 253-546 ng l(-1) Sb (n = 5). The median concentration of Sb in thirty-five brands of water bottled in PET from eleven other European countries was 343 ng l(-1) (n = 35). As an independent check of the hypothesis that Sb is leaching from PET, the pristine groundwater from Canada (containing 2.2 +/- 1.2 ng l(-1) Sb) was collected from the source using PET bottles from Germany: this water contained 50 +/- 17 ng l(-1) Sb (n = 2) after only 37 days, even though it was stored in the refrigerator, and 566 ng l(-1) after six months storage at room temperature.     

官地水电站竹子坝料场高边坡的稳定性分析及其影响因数研究

竹子坝料场是官地水电站混凝土浇筑骨料的重要来源之一。结合竹子坝料场的地形地质情况,以及料场开挖后形成的东、南、西三段人工边坡,运用刚体极限平衡的方法进行稳定性分析及其影响因数的研究。     

作业场所职业卫生监测信息系统设计

为准确掌握我国作业场所职业危害状况,有必要建立作业场所职业危害主动抽样监测信息系统,设计全国作业场所职业卫生监测信息系统是开展主动监测的基础工作之一.信息系统设计包括监测样本管理、监测指标体系、监测数据、统计分析、文件管理等多个模块,经计算样本量需要分布在18个省份约65049家工矿企业,监测指标包括生产经营单位职业卫生管理、职业病及损失工作日、职业健康体检、职业危害事故等多个类别,企业监测数据主要通过监测信息系统上报与汇总.建立中国国情的职业卫生监测信息系统可以通过主动性监测与调查工作,运用较少的人力、物力投入,较为准确地掌握全国职业危害情况.     

用灰关联分析和神经网络方法预测煤与瓦斯突出

本文应用灰色系统理论的灰色关联分析,对煤与瓦斯突出影响因素进行灰关联分析,得出了各影响因素对煤与瓦斯突出影响程度的大小排序,选择灰关联分析的五个优势因子:瓦斯放散初速度、坚固性系数、瓦斯压力、煤体破坏类型和开采深度,作为输入参数,用计算机对神经网络编写程序,建立了煤与瓦斯突出预测的神经网络模型.用我国典型突出矿井的煤与瓦斯突出实例作为学习样本,对网络进行训练学习,并以云南恩洪煤矿的煤与瓦斯突出实例作为预测样本进行验证.