自然环境因素对铝合金大气腐蚀的影响性研究

目的 研究铝合金大气腐蚀受自然环境因素的影响性，探索环境因素对铝合金腐蚀的影响规律。方法 采用多层感知器神经网络分析环境因素对7种铝合金平均腐蚀速率的影响。结果 确定了影响铝合金腐蚀损伤的重要因素为SO2沉积率、Cl^–沉积率、NOx沉积率；辅要因素为年降雨量、年雾露时数、相对湿度、年日照时数、温度、铝合金成分；次要因素为年累积降水时数、雨水pH值。结论 基于多层感知器神经网络分析有效展现了环境因素对平均腐蚀速率的影响性。     

Are calcareous soils in uplands less prone to damage from road salting than acidic soils?

Previous studies of upland roadside soils in Cumbria, that would normally be naturally acidic, have highlighted that (a) runoff from roads subjected to long-term road salting can dramatically raise soil pH down slope in upland areas; (b) the soil pH increase dramatically changes N cycling in soils down slope, increasing mineralisation of organic matter, ammonification, ammonium leaching down slope and nitrification and nitrate leaching; (c) the increase in nitrification substantially increases nitrate leaching to down-slope rivers, and this is readily detectable in field studies; and (d) loss of soil organic matter over decades of salting is so great that organic matter is no longer substantially solubilised by high salt concentrations found in soil solution below road drains. This paper tests and supports the hypothesis that such effects are minimal for more calcareous soil ecosystems. It examines the soil and soil solution chemistry on another Cumbrian upland highway, the A686 near Leadgate, Alston. Sodium % of soil CEC values for soil transects affected by spray containing road salt are similar at both the A6 and A686 sites. However, spatial trends in calcium, magnesium, ammonium, and nitrate concentrations as well as pH differ, as a direct result of the higher weathering rate of parent material and possibly also the presence of limestone walls above both spray-affected and control transects at the A686 site.     

基于正交试验的谷物粉尘燃烧特性影响因素研究

为了研究谷物粉尘燃烧特性影响因素，以可食用玉米淀粉为研究对象，通过ZY6243锥形量热仪（CONE）进行了单因素和正交试验，研究了粉尘粒径、惰性介质CaCO3质量分数、热辐射通量对玉米淀粉燃烧特性的影响效应。应用直观分析法和方差分析法定性地研究了各因素对玉米淀粉热释放速率峰值的影响程度并进行了排序，2种方法得出的结论基本一致。研究结果表明:各因素对玉米淀粉热释放速率峰值的影响程度依次为:CaCO3质量分数＞粉尘粒径＞热辐射通量；其中惰性介质CaCO3对热释放速率峰值和引燃时间的影响最为显著。     

Leak location of pipelines based on characteristic entropy

The leakage of oil/gas pipelines is one of the major factors to influence the safe operation of pipelines. So it is significant to detect and locate the exact pipeline leakage. A novel leak location method based on characteristic entropy is proposed to extract the input feature vectors. In this approach, the combination of wavelet packet and information entropy is called “wavelet packet characteristic entropy” (WP-CE). The combination of empirical mode decomposition and information entropy is called “empirical mode decomposition characteristic entropy” (EMD-CE). Both pressure signal and flow signal of low noise and high noise of pipeline leakage are decomposed to extract the characteristic entropy. The location of pipeline leak is determined by the combination of the characteristic entropy as the input vector and particle swarm optimization and support vector machine method (PSO-SVM). The results of proposed leak location method are compared with those of PSO-SVM based on physical parameters. Under the condition of high noise, the results of proposed leak location method are better than those of PSO-SVM based on physical parameters.     

Remediation of DDT-Contaminated Water and Soil by Using Pretreated Iron Byproducts from the Automotive Industry

The objective of this study was to quantify the effectiveness of different pretreated iron byproducts from the automotive industry to degrade DDT [(1,1,1-trichloro-2,2-bis(4-chlorophenyl) ethane] in aqueous solutions and soil slurry. Iron byproducts from automotive manufacturing were pretreated by three different methods (heating, solvent and 0.5N HCl acid washing) prior to experimentation. All pretreated irons were used at 5% (wt v^{? 1}) to treat 0.014 mM (5 mgL^{? 1}) of DDT in aqueous solution. Among the pretreated irons, acid pretreated iron results in the fastest destruction rates, with a pseudo first-order degradation rate of 0.364 d^{? 1}. By lowering the pH of the DDT aqueous solution from 9 to 3, destruction kinetic rates increase more than 20%. In addition, when DDT-contaminated soil slurry (3.54 mg kg^{? 1}) was incubated with 5% (wt v^{? 1}) acid-pretreated iron, more than 90% destruction of DDT was observed within 8 weeks. Moreover, DDT destruction kinetics were enhanced when Fe(II), Fe(III) or Al(III) sulfate salts were added to the soil slurry, with the following order of destruction kinetics: Al(III) sulfate > Fe(III) sulfate > Fe(II) sulfate. These results provide proof-of concept that inexpensive iron byproducts of the automotive industry can be used to remediate DDT-contaminated water and soil.     

有机溶剂对过氧化环己酮热危险性的减敏效果评价

在纯过氧化环己酮(CYHPO)储运中常添加减敏剂,以降低其热危险性。为了对比评价减敏性能,采用绝热加速量热仪测试了纯CYHPO及加入等质量邻苯二甲酸二丁酯(DBP)、邻苯二甲酸二辛酯(DOP)、正己酸(HAA)和环己醇(CCH)后的热危险参数,并计算了上述5种样品的反应动力学常数和绝热校正数据,建立了包括初始放热温度T0和绝热反应加速度SARC的减敏效果判据,对4种减敏剂的热危险性减敏效果进行了评价。结果表明,DOP对CYHPO热危险性的减敏效果最好。     

一株高效絮凝剂产生菌的分离鉴定与絮凝特性研究

采用富集培养及平板分离方法从成都某污水处理厂活性污泥中筛选出一株具有絮凝活性的菌株SNUX-1,经形态特征及16S rRNA鉴定该菌株为约氏不动杆菌(Acinetobacter johnsonii).对该菌株絮凝活性分布及在不同生长条件下所产絮凝剂的絮凝率进行了研究,并对其絮凝剂成分进行了分析.结果表明,该菌株所产微生物絮凝剂为胞外产物,显色剂显色结果表明,该絮凝剂不含蛋白质成分,含有糖类成分;在以蔗糖为碳源、培养基初始pH值为8、以氯化铜为助凝剂的条件下培养12 h,该菌株所产微生物絮凝剂的絮凝率最高,达96.71％,可作为治理环境污染的菌种资源.     

典型黄土区油松树干液流变化特征分析

蒸腾耗水是植被水分利用的重要方式和重要过程之一,对植物养分输送、生长发育、应对和缓解干旱胁迫以及改善区域微气候等都具有重要意义.研究以半干旱黄土区的油松植被为例,基于四针式热扩散探针法监测树干液流的动态变化,探讨其蒸腾耗水规律,分析油松树种的水分利用方式及对生存环境的适应能力.结果表明,油松的液流速率具有明显的季节性差异,不同月份的液流速率以4月最低,其次为10月、9月和8月,分别为0.024、0.057、0.062和0.071 m L·(cm2·min)-1.液流速率的日变化在各个时期都呈现昼高夜低趋势,夜间液流速率较低,但不为零.在降雨事件影响下,夜间液流量在日液流总量中的比重明显增加,是晴朗天气的3.9倍,而白天液流量所占比重下降31.8%.寒潮期间液流速率表现出相似的变化趋势,对突变环境具有较强的适应能力.油松液流速率与气象因子显著相关,对液流速率影响的大小顺序为:太阳辐射水汽压亏缺相对湿度大气温度.     

高效生物絮凝剂产生菌的诱变选育

为得到絮凝活性高的优良菌株,采用紫外线诱变和化学诱变相结合的方法对野生菌株XN-3进行人工育种,选育出性能优良、遗传稳定的变异菌株UH-2-4,其絮凝率达到96.8%,比原菌株提高了25.1%。并研究了金属离子、投加量对其絮凝活性的影响。     

我国煤矿生产与安全投入的计量分析

煤炭生产活动中既有市场产出又有安全输出,而煤炭生产和安全投入之间的关系反映了经济发展和职业安全之间的关系。在近二十年国内煤矿生产数据的基础上,分析煤炭生产和安全之间长期的相互作用关系,根据多元统计回归分析,建立了煤炭生产模型,并使用Eviews软件进行了脉冲曲线分析和方差分解分析。最后基于分析结果,对我国煤矿生产和安全投入现状提出了改进意见。