Development of a method for comprehensive water quality forecasting and its application in Miyun reservoir of Beijing, China

Water quality forecasting is an essential part of water resource management. Spatiotemporal variations of water quality and their inherent constraints make it very complex. This study explored a data-based method for short-term water quality forecasting. Prediction of water quality indicators including dissolved oxygen, chemical oxygen demand by KMnO₄ and ammonia nitrogen using support vector machine was taken as inputs of the particle swarm algorithm based optimal wavelet neural network to forecast the whole status index of water quality. Gubeikou monitoring section of Miyun reservoir in Beijing, China was taken as the study case to examine effectiveness of this approach. The experiment results also revealed that the proposed model has advantages of stability and time reduction in comparison with other data-driven models including traditional BP neural network model, wavelet neural network model and Gradient Boosting Decision Tree model. It can be used as an effective approach to perform short-term comprehensive water quality prediction.     

Impact Resistance of Materials for Guards on Cutting Machine Tools—Requirements in Future European Safety Standards

Guards on machine tools are meant to protect operators from injuries caused by tools, workpieces, and fragments hurled out of the machine’s working zone. This article presents the impact resistance requirements, which guards according to European safety standards for machine tools must satisfy. Based upon these standards the impact resistance of different guard materials was determined using cylindrical steel projectiles. Polycarbonate proves to be a suitable material for vision panels because of its high energy absorption capacity. The impact resistance of 8-mm thick polycarbonate is roughly equal to that of a 3-mm thick steel sheet Fe P01. The limited ageing stability, however, makes it necessary to protect poycarbonate against cooling lubricants by means of additional panes on both sides.     

Evaluation and Optimization of Handle Design Parameters of a Grass Trimming Machine

The grass trimming machine is a widely used agricultural machine for cutting grass by the roadside and in other areas in Malaysia. Hand-arm vibration (HAV) syndrome is very common among workers operating power tools and performing similar work for extended periods. Grass trimming involves the use of a motorized cutter spinning at high speed, resulting in high levels of HAV among its operators. The existing D-shape handle causes HAV-related stress and operational load in operators. This research proposes a new design of a handle of the grass trimming machine. When this new design was compared with the old one, it was found that the new handle resulted in 18% lower HAV. To find the lowest HAV, 3 critical parameters of the new handle (length, angle and material of the cap of the handle) were optimized using the Taguchi quality tool. Appropriately selected parameters of the new handle significantly reduced the occurrence of HAV among grass trimmers.     

Safety of stationary grinding machines – impact resistance of work zone enclosures

Guards on machine tools are intended to protect persons from being injured by parts ejected with high kinetic energy from the work zone of the machine. Stationary grinding machines are a typical example. Generally such machines are provided with abrasive product guards closely enveloping the grinding wheel. However, many machining tasks do not allow the use of abrasive product guards. In such cases, the work zone enclosure has to be dimensioned so that, in case of failure, grinding wheel fragments remain inside the machine’s working zone. To obtain data for the dimensioning of work zone enclosures on stationary grinding machines, which must be operated without an abrasive product guard, burst tests were conducted with vitrified grinding wheels. The studies show that, contrary to widely held opinion, narrower grinding wheels can be more critical concerning the impact resistance than wider wheels although their fragment energy is smaller.     

提高材料利用率的有效途径

从运用数冲编程技巧、改进加工方案和改进结构设计三方面阐述了提高利用率的方法。     

数控机床的故障诊断

针对数控机床的故障特点，主要介绍了数控机床机械类故障和电气类故障的诊断程序和诊断方法。     

腈纶装置烘燥机自燃的原因及预防措施

分析了上海石化腈纶事业部金阳装置二步法纺丝后处理使用的第二烘燥机在高温高热状态下运行,设备内部经常发生自燃现象的原因和预防措施。     

羧酸及其衍生物急性毒性的QSAR研究

基于定量结构-活性相关性(QSAR)原理,研究了27种羧酸及其衍生化合物结构与其急性毒性LC50之间的内在定量关系。应用遗传算法从大量结构参数中优化筛选出与LC50最为密切相关的五个参数作为分子描述符,得出影响羧酸及其衍生物急性毒性的主要结构特征为分子的大小及其空间效应等。分别采用支持向量机(SVM)方法和多元线性回归(MLR)方法建立了相应的QSAR预测模型,并对所建模型分别进行了内部验证和外部验证。结果表明,两种模型均具有较高的稳定性、预测能力及泛化性能。其中,支持向量机模型对训练集和预测集样本的预测平均绝对误差分别为0.149和0.211,优于多元线性回归方法所得结果。     

“2009年全国生态经济建设理论与实践学术研讨会”综述

“2009年全国生态经济建设理论与实践学术研讨会”于2009年7月22日在甘肃行政学院隆重举行。围绕“发展循环经济与建设生态文明”的主题,从5个方面展开讨论;中西部地区发展循环经济的路径选择、绿色新政与绿色经济、马克思主义生态经济学和生态马克思主义经济学的联系与区别、国内研究循环经济的主要力量及低碳经济。