不溶性腐殖酸对铀的吸附研究

正通过改变震荡时间、不溶性腐殖酸的投加量、pH值、铀酰离子的浓度等因素,研究不溶性腐殖酸(insolubilized humic acid,简写IHA)对铀酰离子(UO22+)的吸附作用。实验表明,在铀酰离子的浓度在4.79×10-5 mol/L以上,pH≈7时,不溶性腐殖酸对六价铀有较好的吸附能力,吸附效率在96%以上。对于浓度为1.60×10-4 mol/L的铀溶     

EMD-BP神经网络预测模型及应用

时间序列分析是根据客观事物的连续性和规律性推测未来发展趋势的预测方法,分析时设法过滤除去不规则变动,突出反映趋势性和周期性变动。为了提高预测精度,构建了EMD-BP神经网络预测模型,利用Hilbert-Huang变换中的经验模态分解将时间序列分解为有限个本征模函数,重构后进行BP神经网络预测。通过对中国石化的股票资料进行实验仿真,表明该模型降低了被预测数据的非平稳性,其精度比直接用神经网络预测有较明显的提高。     

沥青中间相转化过程中分子量分布的研究

通过对热聚合沥青进行烷基化增溶处理，研究了低温炭化时中间相转化过程中分子量分布变化情况，考察了热聚合温度、时间及原料对中间相沥青分子量分布的影响，为实际应用中间相的调制提供了合理建议。     

建立健全适应新形势下接入网发展的运维组织和运行体制

阐述了接入网的发展历程及新时期接入网的特点，对新时期接入网的维护体制提出了构想，并以此探讨在实际工作中所遇到的几个问题。     

煤沥青热聚合中间相生成动力学研究

采用显徼镜测定煤沥青中间相百分数的方法试验研究了其低温炭化过程中中间相生成动力学,探讨了炭黑对煤沥青中间相生成速度的影响,求出了煤沥青中间相生成反应的级数、速度常数和活化能。     

Hydrogen producting characteristics by a novel strain of bacteria-ethanoligenens sp. B49

The objective of this work is to investigate the fermentation capacity and metabolic characteristics of a novel strain of bacteria B49 isolated from anaerobic activated sludge. The examination was conducted in batch culture at 35 ℃. The results showed that the carbon flow gave priority to the production of ethanol, and yield of ethanol is always greater than that of acetic acid. The hydrogen and ethanol occurred simultaneously. The exponential phase of the B49＇ s cell growth was from 12 to 22 h. Evolution of hydrogen appeared to start after the exponential phase of cell growth and reach maximum production at the early stationary phase. The rate of hydrogen production reached a maximum of 16. 8 mL/h, and the percentage of hydrogen gas in the headspace of serum bottle obtained a maximum of 41% at 22 h. The B49 was able to grow using molasses as substrate for cell growth. When the molasses was used as substrate, maximum yield of hydrogen was obtained 2460 mL/L culture at 2 % （V/V） of molasses. The hydrogen yield was increased to 3060 mL/L culture after addition of 0. 5 g/L of yeast extract in the molasses medium and the yield of hydrogen was increased by 24. 4%.     

活性炭负载Fe(III)吸附剂去除饮用水中的As(V)

利用活性炭负载水合铁氧化物制备了复合吸附剂,并用于饮用水中As(V)的去除. 研究了活性炭种类、粒度、溶液pH值、Fe(III)盐浓度和干扰离子等对As(V)去除的影响. 结果表明,煤质活性炭作为基质负载水合铁氧化物比椰壳炭和果壳炭具有更好的除砷效果. 随着炭粒度降低,除砷效率显著增加. 在pH 3~9范围内,活性炭负载水合铁氧化物可有效吸附As(V). F-, Cl-, SO42-的加入对As(V)的去除效率基本无影响,而SiO32-和PO43-则明显抑制As(V)的去除. Langmuir模型比Freundlich模型能更好地描述复合吸附剂对As(V)的吸附平衡. 动力学研究表明,As(V)吸附反应可用二级速率方程描述.