白腐真菌对染料的脱色与降解

利用白腐真菌对染料脱色和降解的过程机理及影响因素进行了较为系统的介绍,结果认为,白腐真菌对染料的脱色及降解作用可能主要是由于其在次生代谢阶段产生的木质素过氧化酶LIPs和锰过氧化酶MnPs所致。在培养基中加入黎芦醇等能够显著提高LIPs的产生;富氮培养基会抑制LIPs的生成;缓冲液的选择对维持适宜的pH值和菌丝的形态有一定作用,从而影响其脱色效果;富氧环境是一切白腐真菌对染料进行脱色和降解的必要条件;适度的搅拌混合有利于反应时的物质之间传递;一般地,在培养时间达到3d以后白腐真菌才能达到较高的脱色与降解活性。染料分子大小和结构及其基团的位置对脱色及降解效果有明显影响。使用特殊填料来提高处理系统中的生物量以克服真菌生长速度相对较慢,提高处理能力是该技术今后的研究重点。     

木材点燃温度的测定

本文叙述了在15-32KW/㎡辐射条件下对四种木材点燃性的研究，测定了木材（64×64×18mm）水平方向着火点（点燃状态形成）时的木材表面温度及点燃时间。结果表明：辐射强度等于或高于24KW/㎡时，可以较准确地测量木材的点燃温度，且此温度基本保持一致（±20℃）。辐射强度较低时，木材表观点燃温度大大高于辐射强度较高时的点燃温度，本文对这一现象进行了讨论。     

有效微生物废水处理动态实验研究

应用有效微生物对啤酒废水进行了动态处理试验研究。试验结果表明,水力停留时间和曝气时间显著缩短,该工艺方法节有显著,并能减少污泥和消除臭味。     

The power of simulating experiments

Addressing complex ecological research questions often requires complex empirical experiments. However, due to the logistic constraints of empirical studies there is a trade-off between the complexity of experimental designs and sample size. Here, we explore if the simulation of complex ecological experiments including stochasticity-induced variation can aid in alleviating the sample size limitation of empirical studies. One area where sample size limitations constrain empirical approaches is in studies of the above- and belowground controls of trophic structure. Based on a rule- and individual-based simulation model on the effect of above- and belowground herbivores and their enemies on plant biomass, we evaluate the reliability of biomass estimates, the probability of experimental failure in terms of missing values, and the statistical power of biomass comparisons for a range of sample sizes. As expected, we observed superior performance of setups with sample sizes typical of simulations (n = 1000) as compared to empirical experiments (n = 10). At low sample sizes, simulated standard errors were smaller than expected from statistical theory, indicating that stochastic simulation models may be required in those cases where it is not possible to perform pilot studies for determining sample sizes. To avoid experimental failure, a sample size of n = 30 was required. In conclusion, we propose that the standard tool box of any ecologist should comprise a combination of simulation and empirical approaches to benefit from the realism of empirical experiments as well as the statistical power of simulations.     

Discounting for personal and social payments: Patience for others,impatience for ourselves

The market rate of return on private investment is often used as the discount rate when conducting cost-benefit analysis (CBA) of public projects. I argue that the decision to invest pits current consumption against future consumption, both of which accumulate to the private decision maker. Public projects, on the other hand, provide benefits that accrue to society in general. To examine the appropriateness of discount rates based on returns to private investment, this paper considers lab experiments designed to test whether individuals discount personal and social benefits at different rates. Personal benefits are captured through personal monetary payments, while social benefits are captured through anonymous donations to charitable organizations. I jointly elicit time and risk preferences and find that subjects discount charitable contributions at significantly lower rates than personal payments.     

On-line CO, CO2 emissions evaluation and (benzene, toluene, xylene) determination from experimental burn of tropical biomass

Atmospheric pollution and global warming issues are increasingly becoming major environmental concerns. Fire is one of the significant sources of pollutant gases released into the atmosphere; and tropical biomass fires, which are of particular interest in this study, contribute greatly to the global budget of CO and CO₂. This pioneer research simulates the natural biomass burning strategy in Malaysia using an experimental burning facility. The investigation was conducted on the emissions (CO₂, CO, and Benzene, Toluene, Ethylbenzene, Xylenes (BTEX)) from ten tropical biomass species. The selected species represent the major tropical forests that are frequently subjected to dry forest fire incidents. An experimental burning facility equipped with an on-line gas analyzer was employed to determine the burning emissions. The major emission factors were found to vary among the species, and the specific results were as follows. The moisture content of a particular biomass greatly influenced its emission pattern. The smoke analysis results revealed the existence of BTEX, which were sampled from a combustion chamber by enrichment traps aided with a universal gas sampler. The BTEX were determined by organic solvent extraction followed by GC/MS quantification, the results of which suggested that the biomass burning emission factor contributed significant amounts of benzene, toluene, and m,p-xylene. The modified combustion efficiency (MCE) changed in response to changes in the sample moisture content. Therefore, this study concluded that the emission of some pollutants mainly depends on the burning phase and sample moisture content of the biomass.