暖温带落叶阔叶混交林能量生态学研究

本文是首篇研究中国暖温带落叶阔叶混交林能量生态学的论文。在文中，笔者以详实的第一手资料从能量环境、能量流动、能量组合以及能量平衡几个方面，全面、系统地阐述、分析了辽东栎林——这一暖温带落叶阔叶混交林典型自然群落代表的能量生态学特征。 在能量环境一章中，笔者从能量流动，能量平衡的角度出发重点研究了辽东栎群落的辐射能量环境特征。笔者以1991-1993年的观测资料为基础，从乔木、灌木和草本三个层次分析了生长季总辐射、散射辐射、直射辐射、反射辐射、净辐射、先合有效辐射、透射辐射、吸收辐射以及乔木层和灌木层反射率的季节动态和日进程特征，并从天文因子、气象因子和群落自身发育特征几方面解释分析了辐射能量环境的这种时空动态特征，同时，分析了这种变化特征对群落能量流动、分配和平衡过程可能产生的影响。 另外，笔者也对群落湿度和风速环境的时空动态特征进行了分析。 在能量流动一章，笔者以1992-1993年的野外实验资料为依据，沿季节动态、月际变化和日进程的时间轴，从群落、乔木层、灌木层、草本层以及各乔、灌木种群的空间尺度详细分析、阐述了太阳辐射能在森林群落内的流动和转化特征，并从能量环境和群落发育的角度解释分析了能量在群落内的这种时空分布和转化特征。所讨论的能流对象包括群落、乔、灌、草各层及各乔、灌木种群的总能流固定量、叶片呼吸耗能量、剩余能流固定量以及沿枯枝落叶流出的能流量。 与分析能流过程同步，笔者从上述的时、空尺度分别以生长季内太阳总辐射和光合有效辐射为基础计算、分析了森林群落的光能转化率特征。 在这一章的最后，笔者概述性地介绍了辽东栎群落的能量平衡特征 在第四章，笔者从能值的角度出发，以能量密度为标准讨论了能量沿群落各层及各乔、灌木种群的积累、分配和组合特征，并讨论了能量流动和光能转化率与热值和能量密度的关系。 辽东栎群落能量生态学的研究不但为了解暖温带落叶阔叶林生态系统的结构和功能，为恢复和重建退化的森林生态系统提供了丰富详实的理论信息，而且，也为山区人工林优化模式的组建提供了理论依据和实践指南。

Upgrading bio-oil over different solid catalysts

Solid acid 40SiO(2)/TiO2-SO42- and solid base 30K(2)CO(3)/Al2O3-NaOH were prepared and compared with catalytic esterification activity according to the model reaction. Upgrading bio-oil by solid acid and solid base catalysts in the conditioned experiment was investigated, in which dynamic viscosities of bio-oil was lowered markedly, although 8 months of aging did not show much viscosity to improve its fluidity and enhance its stability positively. Even the dehydration by 3A molecular sieve still kept the fluidity well. The density of upgraded bio-oil was reduced from 1.24 to 0.96 kg/m(3), and the gross calorific value increased by 50.7 and 51.8%, respectively. The acidity of upgraded bio-oil was alleviated by the solid base catalyst but intensified by the solid acid catalyst for its strong acidification. The results of gas chromatography-mass spectrometry analysis showed that the ester reaction in the bio-oil was promoted by both solid acid and solid base catalysts and that the solid acid catalyst converted volatile and nonvolatile organic acids into esters and raised their amount by 20-fold. Besides the catalytic esterification, the solid acid catalyst carried out the carbonyl addition of alcohol to acetals. Some components of bio-oil undertook the isomerization over the solid base catalyst.

Analysis of ingredient and heating value of municipal solid waste

Great differences between municipal solid wastes(MSW)produced at different places and different times in terms of such parameters as physical ingredient and heating value lead to difficulty in effective handling of MSW. In this paper, ingredient, heating value and their temporal varying trends of typical MSW in Beijing were continuously measured and analyzed. With consideration of the process in pyrolysis and incineration, correlation between physical ingredients and heating values was induced, favorable for evaluation of heating value needed in handling of MSW from simple analysis of physical ingredients of it.

A simple approach to solve boundary-value problems in gradient elasticity

We outline a procedure for obtaining solutions of certain boundary value problems of a recently proposed theory of gradient elasticity in terms of solutions of classical elasticity. The method is applied to illustrate, among other things, how the gradient theory can remove the strain singularity from some typical examples of the classical theory.

Numerical-Value Perturbation Method with Application of Solving Convective-Diffusion Integral Equation

The convective--diffusion equation is of primary importance in such fields as fluid dynamics and heat transfer hi the numerical methods solving the convective-diffusion equation, the finite volume method can use conveniently diversified grids (structured and unstructured grids) and is suitable for very complex geometry The disadvantage of FV methods compared to the finite difference method is that FV-methods of order higher than second are more difficult to develop in three-dimensional cases. The second-order central scheme (2cs) offers a good compromise among accuracy, simplicity and efficiency, however, it will produce oscillatory solutions when the grid Reynolds numbers are large and then very fine grids are required to obtain accurate solution. The simplest first-order upwind (IUW) scheme satisfies the convective boundedness criteria, however. Its numerical diffusion is large. The power-law scheme, QMCK and second-order upwind (2UW) schemes are also often used in some commercial codes. Their numerical accurate are roughly consistent with that of ZCS. Therefore, it is meaningful to offer higher-accurate three point FV scheme. In this paper, the numerical-value perturbational method suggested by Zhi Gao is used to develop an upwind and mixed FV scheme using any higher-order interpolation and second-order integration approximations, which is called perturbational finite volume (PFV) scheme. The PFV scheme uses the least nodes similar to the standard three-point schemes, namely, the number of the nodes needed equals to unity plus the face-number of the control volume. For instanc6, in the two-dimensional (2-D) case, only four nodes for the triangle grids and five nodes for the Cartesian grids are utilized, respectively. The PFV scheme is applied on a number of 1-D problems, 2~Dand 3-D flow model equations. Comparing with other standard three-point schemes, The PFV scheme has much smaller numerical diffusion than the first-order upwind (IUW) scheme, its numerical accuracy are also higher than the second-order central scheme (2CS), the power-law scheme (PLS), the QUICK scheme and the second-order upwind(ZUW) scheme.

The mean value concept in mono-linear regression of multi-variables and its application to trace studies in geosciences

IEECAS SKLLQG

Retention modeling and simultaneous optimization of pH value and gradient steepness in RP-HPLC using feed-forward neural networks

A novel approach is proposed for the simultaneous optimization of mobile phase pH and gradient steepness in RP-HPLC using artificial neural networks. By presetting the initial and final concentration of the organic solvent, a limited number of experiments with different gradient time and pH value of mobile phase are arranged in the two-dimensional space of mobile phase parameters. The retention behavior of each solute is modeled using an individual artificial neural network. An "early stopping" strategy is adopted to ensure the predicting capability of neural networks. The trained neural networks can be used to predict the retention time of solutes under arbitrary mobile phase conditions in the optimization region. Finally, the optimal separation conditions can be found according to a global resolution function. The effectiveness of this method is validated by optimization of separation conditions for amino acids derivatised by a new fluorescent reagent.

Retention modeling and optimization of pH value and solvent composition in HPLC using back-propagation neural networks and uniform design

A novel method for the optimization of pH value and composition of mobile phase in HPLC using artificial neural networks and uniform design is proposed. As the first step. seven initial experiments were arranged and run according to uniform design. Then the retention behavior of the solutes is modeled using back-propagation neural networks. A trial method is used to ensure the predicting capability of neural networks. Finally, the optimal separation conditions can be found according to a global resolution function. The effectiveness of this method is validated by optimization of separation conditions for both basic and acidic samples.