Effects of Starch Moisture on Properties of Wheat Starch/Poly(Lactic Acid) Blend Containing Methylenediphenyl Diisocyanate

Methylenediphenyl diisocyanate was found to improve the interfacial interaction between poly(lactic acid)(PLA) and granular starch. The objective of this research was to study the effect of starch moisture content on the interfacial interaction of an equal-weight blend of wheat starch and PLA containing 0.5% methylenediphenyl diisocyanate by weight. Starch moisture (10% to 20%) had a negative effect on the interfacial binding between starch and PLA. The tensile strength and elongation of the blend both decreased as starch moisture content increased. At 20% moisture level, the starch granules embedded in the PLA matrix were observed to be swollen, resulting in poor strength properties and high water absorption by the blend.     

简易石灰石/石膏湿法烟气脱硫技术在连州电厂的应用

在介绍了连州电厂的广东省第一套简易石灰石／石膏湿法烟气脱硫（FGD）系统主要设计参数和工艺流程的基础上，重点对FGD系统在近2年的运动过程中出现的主要问题进行了分析，包括系统与锅炉的相互影响，烟道腐蚀问题，脱硫石膏与灰渣水的混排及吸收塔内搅拌器叶片的损坏等，同时从技术，经济两方面对该套FGD系统进行了总体的评价。     

计算机局域网络保密措施

随着计算机的普及 ,局域网络越来越广为利用 ,但也出现了相应的失密问题。本文从信息及实体两个方面 ,论述了局域网络的保密措施。     

隧洞施工通风系统事故树分析

在采矿、铁路、公路及水利水电工程中，常常采用长距离隧洞或隧道来穿越高山。而隧洞的施工以其施工技术复杂、难度大、风险高，经常成为控制工程工期的主要环节，隧洞施工中的通风换气系统，关系到施工能否顺利进行和施工作业人员的人身安全，根据隧洞施工通风系统的运行特点，采用安全系统分析中的事故树（FTA）方法，对隧洞施工中通风系统的安全性进行定性分析，找出影响通风安全的主要因素，并提出了通风安全管理对策，可以保证施工作业的顺利进行和人身安全，提高整个施工作业的安全度。     

计算流体力学(CFD)中的迭代法及其并行计算方法

应用计算流体力学 (CFD)方法分析事故原因已被广泛采用 ,笔者针对事故理论分析和流体计算过程中 ,运用CFD方法所存在计算量大的问题 ,分析和讨论了几种古典迭代法及其并行计算方法     

关于重大隐患监控GIS模式的研究

系统地分析了重大危险源、事故隐患的地域监管体系以及隐患监控的新技术应用基础 ;提出了职业安全卫生监管体系中的危险源和隐患监控 ,应该分为过程安全监控和安全目标监控两个层次。隐患监管功能的有效实现 :隐患监控的技术载体则越来越依托信息网络的发展 ;重大隐患监管体系特别适合采用地理信息系统     

气相色谱仪检测溶解气H_2、He最佳观测条件的选择

通过色谱柱、固定相以及载气流速的选择性实验 ,提高了气相色谱仪在观测地下水中H2 、He分离效能和检测效能。本文对此作介绍 ,以期对使用气相色谱仪进行地下水H2 、He观测的台站能有所启发和借鉴     

ADJUSTMENT OF STREAM CHANNEL CAPACITY FOLLOWING DAM CLOSURE,YEGUA CREEK,TEXAS1

ABSTRACT: In Yegua Creek, a principal tributary of the Brazos River in Texas, surveys of a 19 km channel reach downstream of Somerville Dam show that channel capacity decreased by an average of 65 percent in a 34 year period following dam closure. The decrease corresponds with an approximately 85 percent reduction in annual flood peaks. Channel depth has changed the most, decreasing by an average of 61 percent. Channel width remained stable with an average decrease of only 9 percent, reflecting cohesive bank materials along with the growth of riparian vegetation resulting from increased low flows during dry summer months. Although large changes in stream channel geometry are not uncommon downstream of dams, such pronounced reductions in channel capacity could have long‐term implications for sediment delivery through the system.     

垃圾场渗出污水厌氧处理的可行性研究

采用血清瓶静态试验法研究了垃圾渗出污水的厌氧处理的可行性。试验表明:垃圾渗出污水对厌氧发酵微生物无抑制作用,有良好的厌氧降解性,产气率为0.321/g·COD,污水中的大部份有机物都能被厌氧消化,COD_cr去除率为78.2%,发酵过程中还能获得能源——沼气。具有良好的应用前景。     

NETWORK AND SUBWATERSHED PARAMETERS EXTRACTED FROM DIGITAL ELEVATION MODELS: THE BILLS CREEK EXPERIENCE1

ABSTRACT: An automated extraction of channel network and sub-watershed characteristics from digital elevation models (DEM) is performed by model DEDNM. This model can process DEM data of limited vertical resolution representing low relief terrain. Such representations often include ill-defined drainage boundaries and indeterminate flow paths. The application watershed is an 84 km² low relief watershed in southwestern Oklahoma. The standard for validation is the network and subwatershed parameters defined by the blue line method on USGS 7.5–minute topographic maps. Evaluation of the generated and validation networks by visual comparisons shows a high degree of correlation. Comparison of selected network parameters (channel length, slope, drainage density, etc.) and of drainage network composition (bifurcation, length, slope, and area ratios) shows that, on the average, the generated parameters are within 5 percent of those derived from the validation network. The largest discrepancies were found for the channel slope values. The results of this application demonstrate that DEDNM effectively addresses network definition problems often encountered in low relief terrain and that it can generate accurate network and subwatershed parameters under those conditions.