提高高校档案利用的新途径

针对目前高校档案利用率不高的实际情况,为有效地提高档案利用率,充分发挥高校档案在高校发展建设、科学管理、提升教育教学水平中的作用,笔者通过多年的探索实践,提出了加大宣传力度、搞好基础建设、提高人员素质、拓展服务方式、创新服务内容等高校档案利用的新途径,与从事高校档案工作的广大同仁商榷。     

Aging and compressibility of municipal solid wastes

The expansion of a municipal solid waste (MSW) landfill requires the ability to predict settlement behavior of the existing landfill. The practice of using a single compressibility value when performing a settlement analysis may lead to inaccurate predictions. This paper gives consideration to changes in the mechanical compressibility of MSW as a function of the fill age of MSW as well as the embedding depth of MSW. Borehole samples representative of various fill ages were obtained from five boreholes drilled to the bottom of the Qizhishan landfill in Suzhou, China. Thirty-one borehole samples were used to perform confined compression tests. Waste composition and volume-mass properties (i.e., unit weight, void ratio, and water content) were measured on all the samples. The test results showed that the compressible components of the MSW (i.e., organics, plastics, paper, wood and textiles) decreased with an increase in the fill age. The in situ void ratio of the MSW was shown to decrease with depth into the landfill. The compression index, Cc, was observed to decrease from 1.0 to 0.3 with depth into the landfill. Settlement analyses were performed on the existing landfill, demonstrating that the variation of MSW compressibility with fill age or depth should be taken into account in the settlement prediction.     

混凝法深度处理印染废水中试研究

采用"高效混凝沉淀-过滤"深度处理工艺处理印染废水二级生化出水,并将混凝沉淀污泥回流.实验结果表明,混凝剂聚合氯化铝加入量为160 mg/L时,COD去除率平均可达34.6%,TP去除率平均达到87.9%,平均出水TP为0.3 mg/L.气相色谱-质谱分析和元素分析结果表明混凝沉淀工艺对有机物和TP的去除效果良好.     

膜生物反应器中溶解性微生物产物特性的研究进展

溶解性微生物产物是制约生物处理出水达标和回用的主要污染物,处理工艺和操作条件的不同可能造成其特性差异。阐述了溶解性微生物产物的定义和产生机制,对膜生物反应器中溶解性微生物产物的组成、分子质量分布、亲水／疏水性、螯合性和毒性进行了概述,分析了影响其产生、特性和去除的因素。由于膜的截留作用使溶解性微生物产物在膜生物反应器中积累,容易引起膜污染。可以通过优化操作条件,减少溶解性微生物产物的产生,提高出水水质,有效地抑制膜污染。     

固态排渣煤粉炉NOx产生浓度影响因素偏相关分析

利用第一次全国污染源普查“火力发电行业产排污系数核算”工作中现场监测得到的数据,首次采用偏相关分析的方法,对固态排渣煤粉炉中机组规模、空气过剩系数、煤中挥发分和发电负荷率等因素对NOx产生浓度的影响进行定性分析,结论：NOx产生浓度与前三种因素存在显著的相关。而与发电负荷率的关系受锅炉是否采用低氮燃烧技术的影响。空气过剩系数越大,煤的挥发分越高,NOx产生浓度越低;采用低氮燃烧装置的锅炉中,机组规模越大,产生的NOx越少,且对于同一锅炉来说,NOx产生浓度随着发电负荷率的升高而增大;未采用燃烧控制的锅炉中,机组规模越大,NOx产生浓度越高,且与发电负荷率不相关。根据分析结果,提出了控制燃煤电厂固态排渣煤粉炉NOx排放的优化措施和建议。     

人行横道危险时段的灰色聚类评价研究

人行横道是人车冲突的焦点地带,以行人违规率(RTI)为评价指标,采用灰色聚类的评价方法,对人行横道的安全状况进行分级评价,然后对单条人行横道的不同时间段的安全状况进行评价,找出危险时段.     

锅炉鼓引风机的变频节能改造

锅炉鼓风机及引风机靠风机入口的风门挡板来调节风量,效率低,造成能源浪费.通过对离心风机的变频节能原理的分析,提出具体变频改造方案,并对改造后的效果进行对比,说明采用变频调速控制方式将大大提高风机设备的运行效率,改善风机工况,节能降耗,降低生产成本,直接和间接经济效益十分明显.     

城市生活垃圾管理和处理研究——以漳州市为例

针对漳州市城市生活垃圾管理和处理现状,分析存在的问题,提出改进建议.漳州市生活垃圾管理和处理模式适合在我国推广,我国城市生活垃圾管理和处理急需解决的关键问题是分类收集.     

航空不安全事件人为因素分析R-S-TER模型的构建与应用研究

借鉴传统人为因素分析Reason模型和SHEL模型,结合TER模型的特点构建航空不安全事件人为因素分析的R-S-TER模型。分别采用Dijkstra算法和坐标轴方法应用R-S-TER模型对单个和多个航空不安全事件进行研究,找出各个不安全事件的主要事故链。运用C语言程序计算出了预防航空不安全事件的最优方案。应用R-S-TER模型可以有效地达到预防航空不安全人为因素的目的。     

Spatial succession modeling of biological communities: a multi-model approach

Strong spatial correlation may exist in the spatial succession of biological communities, and the spatial succession can be mathematically described. It was confirmed by our study on spatial succession of both plant and arthropod communities along a linear transect of natural grassland. Both auto-correlation and cross-correlation analyses revealed that the succession of plant and arthropod communities exhibited a significant spatial correlation, and the spatial correlation for plant community succession was stronger than arthropod community succession. Theoretically it should be reasonable to infer a site's community composition from the last site in the linear transect. An artificial neural network for state space modeling (ANNSSM) was developed in present study. An algorithm (i.e., Importance Detection Method (IDM)) for determining the relative importance of input variables was proposed. The relative importance for plant families Gramineae, Compositae and Leguminosae, and arthropod orders Homoptera, Diptera and Orthoptera, were detected and analyzed using IDM. ANNSSM performed better than multivariate linear regression and ordinary differential equation, while ordinary differential equation exhibited the worst performance in the simulation and prediction of spatial succession of biological communities. A state transition probability model (STPM) was proposed to simulate the state transition process of biological communities. STPM performed better than multinomial logistic regression in the state transition modeling. We suggested a novel multi-model framework, i.e., the joint use of ANNSSM and STPM, to predict the spatial succession of biological communities. In this framework, ANNSSM and STPM can be separately used to simulate the continuous and discrete dynamics.