湖州市节能减排工作中的经济现象研究

湖州市节能减排工作中主要还存在着融资困难、能源结构及产业结构不合理等问题,应采取建立节能减排基金、创新融资模式、提高能源价格、开征环境税、实行排污权交易及实行合同能源管理等多种经济和金融管理手段,才能使湖州市的节能减排工作真正取得成效。     

白酒对家兔减压神经放电及血压的影响

采用急性实验观察法 ,取家兔 1 8只 ,平均分成 3组。分别用 1 0 %、35 %、和 5 0 %的白酒处理 ,每个处理分为 2 0mL和 40mL剂量 ,观察白酒对减压神经放电及血压的影响。结果表明 1 0 %白酒处理 ,2 0mL和 40mL可引起血压先升高后略降 ;35 %和 5 0 %处理可引起血压明显降低。白酒引起心率明显减慢 ,减压神经放电与血压变化呈负相关。     

Naphthalene decomposition in a DC corona radical shower discharge

The naphthalene decomposition in a corona radical shower discharge (CRS) was investigated, with attention paid to the influences of voltage and initial naphthalene density. The OH emission spectra were investigated so as to know the naphthalene decomposing process. The by-products were analyzed and a decomposing theory in discharge was proposed. The results showed that higher voltage and relative humidity were effective on decomposition. The initial concentration affected the decomposing efficiency of naphthalene. When the initial naphthalene density was 17 mg/m³, the decomposition rate was found to be 70% under 14 kV. The main by-products were carbon dioxide and water. However, a small amount of carbonic oxide, 1,2-ethanediol and acetaldehyde were found due to the incomplete oxidization.     

浅谈城市排水系统运行中存在的问题及改进措施

完善、合理、科学的城市排水系统关系到市民的切身利益和城市的安全,关系到城市生态环境改善和可持续发展。本文在分析现行城市排水系统运行中存在问题及产生原因的基础上提出相应的改进建议,以期缓解城市汛期路面积水,保证排水系统安全运行,减少水体污染,减轻维护管理工作量。     

辉光放电等离子体降解生物染料橙黄G

利用辉光放电等离子体技术降解橙黄G偶氮染料废水,借助紫外光谱分析了其降解过程,考察了多种因素对其降解效果的影响.结果表明,提高染料初始浓度和电解质浓度可提高橙黄G的降解率.改变溶液的初始pH值,橙黄G的降解率随溶液的初始pH值升高而增加.橙黄G降解60min后,无催化剂时,降解率达到71.68%;在催化剂Fe^2＋和Mn^2＋存在时降解率达到92.48%和89.69%,COD去除率为95.85%和63.44%;H2O2存在时,降解率达到78.91%.     

“电加工双证融通”实训教学探索——以高职模具专业为例

通过对电加工实训教学的改革与探索,提出了“基于工作过程”的“电加工双证融通”项目式教学模式,论述了实现“巩固工艺知识、训练操作技能、强化工程实际能力”教学目标的方法与手段．     

An iterative computation method for interpreting and extending an analytical battery model

Battery models are of great importance to develop portable computing systems, for whether the design of low power hardware architecture or the design of battery-aware scheduling policies. In this paper, we present a physically justified iterative computing method to illustrate the discharge, recovery and charge process of Li/Li-ion batteries. The discharge and recovery processes correspond well to an existing accurate analytical battery model： R-V-W＇s analytical model, and thus interpret this model algorithmically. Our method can also extend R-V-W＇s model easily to accommodate the charge process, The work will help the system designers to grasp the characteristics of R-V-W＇s battery model and also, enable to predict the battery behavior in the charge process in a uniform way as the discharge process and the recovery process. Experiments are performed to show the accuracy of the extended model by comparing the predicted charge times with those derived from the DUALFOIL simulations. Various profiles with different combinations of battery modes were tested, The experimental results show that the extended battery model preserves high accuracy in predicting the charge behavior.