我国纺织行业上市公司资本结构实证研究

资本结构是企业筹资的核心问题之一,上市公司资本结构是否合理直接关系到其企业价值最大化的实现.以纺织行业上市公司公开数据为样本,运用回归分析方法,分析影响我国纺织行业资本结构的因素,认为:资本结构与企业获利能力、资产担保价值正相关,与企业规模负相关,与成长性、实际税率相关不明显.     

Investigation the effect of adding graphene oxide into diesel/higher alcohols blends on a diesel engine performance

ABSTRACT

This article aims to study the influence of the addition of graphene oxide nanoparticles (GO) to diesel/higher alcohols blends on the combustion, emission, and exergy parameters of a CI engine under various engine loads. The higher alcohols mainly n-butanol, n-heptanol, and n-octanol are blended with diesel at a volume fraction of 50%. Then, the 25 and 50 mg/L concentrations of GO are dispersed into diesel/higher alcohols blends using an ultrasonicator. The GO structures are examined using TEM, TGA, XRD and FTIR. The findings show that there is a reduction in p_max. and HRR when adding higher alcohols with diesel fuel. Regarding engine emission, there is a significant improvement in emissions formation with adding higher alcohols. The addition of GO into diesel/higher alcohols blends improves the brake thermal efficiency by 15%. Moreover, the p_max. and HRR are both enhanced by 4%. The CO, UHC and smoke formation are reduced considerably by 40%, 50 and 20%, respectively, while NO_x level is increased by 30% with adding GO. Finally, adding high percentages of n-butanol, n-heptanol, and n-octanol with diesel fuel with the presence of GO has the potential to achieve ultra-low CO, UHC, and smoke formation meanwhile keeping high thermal efficiency level.     

雨天硫酸盐化速率样品扩散分析

选择采样期不同降雨天数的碱片,测定余边的硫酸盐化速率含量,其结果为：采样期全月无雨时,余边上的硫酸盐均未检出;半月以上至全月有雨时检出率为１００％,检出量占样品量的２．７０～１５．９５％。经扩散试验,查清了余边上的硫酸盐主要是有效面积上采集的样品的扩散,并提出了相应的修正方法。     

乌鲁木齐市可吸入颗粒物(PM10)与总悬浮颗粒物(TSP)的相关性规律浅析

通过对乌鲁木齐市的PM10和TSP数据的对比分析，找出PM10在TSP中所占比率（分担率）在采暖季和非采暖季的变化范围，从而使过去采集的TSP数据与PM10数据有一定的可比性，保证监测数据的连续可比。     

基于响应曲面法优化烧结烟气脱硫灰改性工艺

采用BOX-Behnken的中心组合实验设计及响应面分析方法对半干法烧结烟气脱硫灰进行改性研究,得到脱硫灰转化率的预测模型。结果表明:通过该预测模型可以很好地描述脱硫灰的转化率与反应温度、反应时间和气固比等重要操作参数之间的关系,R2=0.9903。因素分析表明,反应温度对脱硫灰的转化率影响最大,同时反应温度和气固比的交互作用与反应温度和时间的交互作用对脱硫灰的转化率的影响作用相同。利用得到的改进预测模型可以计算脱硫灰的转化率。     

HRT对固定床厌氧反应器运行效果的影响

为了考察水力停留时间(HRT)对炭纤维载体固定床厌氧反应器运行效果的影响,在进水COD分别为20 000~25 000 mg/L和40 000~45 000 mg/L2个浓度范围下,研究了不同HRT对反应器运行效果的影响。结果表明,通过HRT的调整,在达到相同有机负荷(OLR)下,进水COD为20 000~25 000 mg/L的COD去除率和产气量,明显比进水COD为40 000~45 000 mg/L的运行效果好;进水COD为20 000~25 000 mg/L,HRT为14 h,相应的OLR为41.09 kgCOD/(m3.d)时,COD去除率仍然维持在68%以上,沼气容积产气率达到14.55 m3/(m3.d)。炭纤维载体固定床厌氧反应器具有较高的COD去除率、产气效率以及抵抗低pH、高负荷冲击的能力,运行过程中没有发生反应器堵塞的现象。     

城市生活垃圾降解率分析研究

针对城市生活垃圾降解率研究不足的现状,结合室内物理模拟实验,对垃圾温度和垃圾降解率的变化规律进行分析研究。研究结果表明,填埋初期垃圾填埋体温度升高较快,服从三次曲线变化规律;温度对垃圾降解率有重要的影响,单一温度下垃圾降解率随时间变化近似符合微生物生长曲线;不同温度下,温度高,垃圾降解率快,试验证明41.00、45.00℃垃圾降解率最快,垃圾降解率相差不大,可以认为温度高于41.00℃时垃圾降解率可以按照41.00℃时垃圾降解率计算。     

咪唑类离子液体用于处理油田污水的研究

采用油浴法合成了疏水性咪唑类离子液体[omim]PF6。研究了这种离子液体对油田污水的萃取,考察了萃取时间、离子液体加量、pH值对萃取效果的影响。实验结果表明,萃取15 min就可以达到平衡。污水COD的去除率随pH值的增大而减小,同时对再生离子液体处理油田污水的效果进行了探讨,离子液体的循环使用次数对处理污水的效果影响不大。     

琼脂碳源生物反硝化去除水源水中硝酸盐

针对受硝酸盐污染的水源水,以琼脂为反硝化细菌的碳源和微生物载体,通过生物反硝化作用脱除水源水中的硝酸盐,并利用曝气生物滤池(BAF)去除琼脂反应器出水中残留的少量CODMn和NO2--N等污染物。实验结果表明,水源水自然接种的条件下,可以顺利启动琼脂反应器;在温度为25℃左右,琼脂反应器在进水NO3--N约25 mg/L、水力停留时间1.5 h时,能获得70%的硝酸盐氮去除率;曝气生物滤池在水力停留时间0.5 h、气水比2.8时,可控制最终出水的CODMn和NO2--N分别在5.0 mg/L和0.10 mg/L以下;琼脂反应器的脱氮效果与温度、进水NO3--N浓度及水力停留时间等有关。研究指出,琼脂反应器与曝气生物滤池构成的组合系统能较好地脱除水源水中的硝酸盐并且能控制最终出水水质,不会导致二次污染,从而获得合格的饮用水源水。     

Analysis of a Farquhar-von Caemmerer-Berry leaf-level photosynthetic rate model for Populus tremuloides in the context of modeling and measurement limitations

The balance of mechanistic detail with mathematical simplicity contributes to the broad use of the Farquhar, von Caemmerer and Berry (FvCB) photosynthetic rate model. Here the FvCB model was coupled with a stomatal conductance model to form an [A,g_s] model, and parameterized for mature Populus tremuloides leaves under varying CO₂ and temperature levels. Data were selected to be within typical forest light, CO₂ and temperature ranges, reducing artifacts associated with data collected at extreme values. The error between model-predicted photosynthetic rate (A) and A data was measured in three ways and found to be up to three times greater for each of two independent data sets than for a base-line evaluation using parameterization data. The evaluation methods used here apply to comparisons of model validation results among data sets varying in number and distribution of data, as well as to performance comparisons of [A,g_s] models differing in internal-process components.