膜过滤-气相色谱法测定涂料中的苯系物、环己酮和甲苯二异氰酸酯

采用膜过滤-气相色谱法测定涂料中的苯系物、环己酮和甲苯二异氰酸酯（TD I）。用7种规格的石英毛细管色谱柱对混合标准溶液和涂料试样进行了分析实验,实验结果表明,不同属性的涂料试样添加固定量的正十四烷作内标物,经膜过滤净化后,苯系物、环己酮和TD I可采用DB-1-3或DB-1-2色谱柱同时分离并测定。测试数据经多级校准曲线处理后涂料试样中苯系物、环己酮和TD I的加标回收率为98.6%～101.8%,各组分分析结果的变异系数均小于2.0%,检出限均小于1.50×10^-5g。     

荧光法研究DNA与蒽相互作用机理

利用荧光猝灭光谱和紫外-可见吸收光谱研究了体外DNA对蒽的荧光猝灭机理.结果表明,DNA的紫外-可见光谱没有发生红移现象,通过计算分析不同温度下的荧光猝灭常数和热力学参数,结合两种光谱分析可知DNA对蒽的荧光猝灭属于动态猝灭机理.     

基于专利的区域环境技术创新水平空间分异研究

以环境技术专利表征创新水平,采用绝对指标与相对指标、专利结构布局系数(或特化系数)与技术创新主体结构布局系数,衡量中国各省市环境技术创新水平的空间分异,探讨其不平衡性的原因.研究结果表明,绝对指标评价的环境技术创新水平,呈现"东高西低"的格局;相对指标表征的环境技术创新水平,大部分省市的评价结果基本上在0.1～0.5、0.59～1.04之间,空间分异不明显.东部地区省市发明专利、企业专利特化系数高,如天津、香港、北京、上海的发明专利特化系数均在1.3以上,香港和上海的企业专利特化系数大于2.但是发明专利、公司企业专利--2项最具价值的专利技术创新水平均较高的省市不多,我国环境技术创新水平整体水平不高.     

防震救灾：高科技之路

高新技术在防震减灾事业中的作用与地位．在1999年8月17日土耳其7.4级地震抗震救灾中大显身手．充分显示出威力和作用．使我们在抢险救灾时面对被埋压人员的用境和无奈时看到了希望．得到解脱。从中醒悟到,科学技术是防震减灾的重要手段．是推动减灾事业发展的推动力。在防灾上．科技含量越高．伤亡人数就会越少;在救灾上,高科技手段越多．从死亡边缘拉回来的人就越多。在2008年四川汶川大地震抗震救灾中．卫星遥感等先进技术也发挥突出的作用．为抢救人民生命财产赢得了时间．提供准确的信息支持。     

四苯基双酚A二磷酸酯及复配体系阻燃环氧树脂的热动力学分析

采用热分析仪对四苯基双酚A二磷酸酯(BDP)及复配APP体系阻燃环氧树脂(EP)进行TG分析,研究BDP及其复配体系阻燃EP降解的过程,并在动力学理论模型基础上计算阻燃EP的活化能.结果表明,与未阻燃EP相比,阻燃EP在600 ℃时残炭率增加,15% BDP阻燃EP的残炭率由未阻燃的20.41%增加到28.06%,15% BDP+9% APP阻燃EP的残炭率增加到34.78%;BDP及其复配体系阻燃EP的活化能显著提高,15% BDP阻燃EP的活化能由未阻燃的80.39 kJ/mol提高到141.06 kJ/mol,15% BDP+9% APP阻燃EP的活化能提高到199.68 kJ/mol.研究表明,阻燃EP体系耐热性能好,阻燃效果明显,且复配体系阻燃效果进一步提高.     

Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm

In this paper, wind energy potential of four locations in Xinjiang region is assessed. The Weibull distribution as well as the Logistic and the Lognormal distributions are applied to describe the distributions of the wind speed at different heights. In determining the parameters in the Weibull distribution, four intelligent parameter optimization approaches including the differential evolutionary, the particle swarm optimization, and two other approaches derived from these two algorithms and combined advantages of these two approaches are employed. Then the optimal distribution is chosen through the Chi-square error (CSE), the Kolmogorov–Smirnov test error (KSE), and the root mean square error (RMSE) criteria. However, it is found that the variation range of some criteria is quite large, thus these criteria are analyzed and evaluated both from the anomalous values and by the K-means clustering method. Anomaly observation results have shown that the CSE is the first one should be considered to be eliminated from the consequent optimal distribution function selection. This idea is further confirmed by the K-means clustering algorithm, by which the CSE is clustered into a different group with KSE and RMSE. Therefore, only the reserved two error evaluation criteria are utilized to evaluate the wind power potential.     

基于效果-效率-适应性的养殖废弃物资源化利用管理模式评价框架构建及初步应用

由于产业发展正处于转型阶段,我国畜禽养殖污染治理中的管理问题比技术问题更加突出,选择适宜的组织管理模式尤其重要。融合了效果分析、效率评价和适应性分析,尝试构建一个养殖废弃物资源化利用管理模式综合评价框架,并选择太湖流域4个不同类型的典型案例进行方法例证。研究表明,传统的养殖企业主导型管理模式应用于小型、分散养殖废弃物资源化利用时面临着经济效率低、适应性差难题;农村废弃物处理中心、种植企业和有机肥企业的参与可以改善小型、分散养殖废弃物资源化利用的经济效率;综合考虑效果、效率与适应性,种植企业、有机肥企业主导型模式的适宜推广范围更广。应根据不同地区种植-养殖产业关系、污染治理需求、经济发展水平与政府投入能力等,灵活组合应用不同管理模式。     

In situ removal of copper from sediments by a galvanic cell

This study dealt with in situ removal of copper from sediments through an electrokinetic (EK) process driven by a galvanic cell. Iron (Fe) and carbon (C) were placed separately and connected with a conductive wire. Polluted sediments were put between them and water was filled above the sediments. The galvanic cell was thus formed due to the different electrode potentials of Fe and C. The cell could remove the pollutants in the sediments by electromigration and/or electroosmosis. Results showed that a weak voltage less than 1V was formed by the galvanic cell. The voltage decreased with the increase of time. A slight increase of sediment pH from the anode (Fe) to the cathode (C) was observed. The presence of supernatant water inhibited the variation of sediment pH because H(+) and OH(-) could diffuse into the water. The removal of copper was affected by the sediment pH and the distribution of electrolyte in sediment and supernatant water. Lower pH led to higher removal efficiency. More electrolyte in the sediment and/or less electrolyte in the supernatant water favored the removal of copper. The major removal mechanism was proposed on the basis of the desorption of copper from sediment to pore solution and the subsequent electromigration of copper from the anode to the cathode. The diffusion of copper from sediment to supernatant water was negligible.