微波解吸技术及其应用

通过实验数据对活性炭的升温行为进行了定量描述并对微波解吸动力学模式进行了分析。结果表明,活性炭升温行为可分为2个阶段进行描述,微波解吸再生载乙醇活性炭的速度很快,1 min即可达到80％以上的脱附率,一般3～4 min后脱附率达90％以上,整个解吸过程所用的时间不到6 min.     

回收粉煤灰磁珠在污水处理中的应用

从粉煤灰综合利用角度,探时利用回收粉煤灰中磁珠作磁种,用高梯度磁分离技术进行污水处理的可行性,进一步研究了粉煤灰磁珠粒度组成对污水处理效果的影响。     

单环硝基芳香化合物好氧生物降解及其遗传学研究进展

硝基芳香化合物是环境中难降解的有机污染物之一 ,对环境的污染日益严重 ,利用生物技术对这类有机物进行降解是行之有效的新途径。针对几种单环硝基芳香化合物好氧降解的微生物、降解途径以及降解过程中的主要酶、降解性质粒、基因定位等分子遗传学的研究进展进行了综述     

USB反应器进行生物反硝化的研究现状与应用前景

综述了USB反应器进行生物反硝化的历史沿革、研究现状 ,并对其在研究中存在的问题进行了描述。最后 ,对USB反应器进行生物反硝化的应用前景作了科学的分析     

垃圾填埋场对地下水污染的模拟研究

在对长春市某垃圾填埋场进行野外调查的基础上 ,于室内进行了垃圾淋滤模拟实验。分析了垃圾渗滤液污染组分的自然衰减规律 ,建立了垃圾填埋场地下水污染的数值模型 ,采用FEFLOW软件对其进行模拟和预报 ,并取得了较好的效果 ,最后提出防止和防治垃圾填埋场污染地下水的若干措施。     

短程硝化的实现、维持与过程控制的研究现状

短程生物脱氮技术目前倍受人们的关注,国内外学者对短程硝化提出了多种实现及维持的控制途径,但仍存在着一些问题。由于活性污泥法中DO,ORP,pH的变化规律从不同角度不同程度地反映了生物脱氮反应的进程,所以用它们作为控制参数就可以对生物脱氮反应进行过程控制。在分析中,通过对国内外短程硝化控制途径的研究现状与发展趋势的分析和总结,针对目前在实现短程硝化及维持短程硝化各种途径中存在的问题,提出了通过在线检测DO,pH,ORP来实现与维持短程硝化的新思路。     

Characterization of metal adsorption kinetic properties in batch and fixed-bed reactors

Copper adsorption kinetic properties in batch and fixed-bed reactors were studied in this paper. The isothermal adsorption experiments showed that the copper adsorption capacity of a granular activated carbon (Filtrasorb 200) increased when ionic strength was higher. The presence of EDTA diminished the adsorption. An intraparticle diffusion model and a fixed-bed model were successfully used to describe the batch kinetic and fixed-bed operation behaviors. The kinetics became faster when the solution pH was not controlled, implying that the surface precipitation caused some metal uptake. The external mass transfer coefficient, the diffusivity and the dispersion coefficient were obtained from the modeling. It was found that both external mass transfer and dispersion coefficients increased when the flow rate was higher. Finally effects of kinetic parameters on simulation of fixed-bed operation were conducted.     

Simulation of global warming potential (GWP) from rice fields in the Tai-Lake region,China by coupling 1:50,000 soil database with DNDC model

Quantifying greenhouse gas (GHG) emissions from wetland ecosystems is a relatively new issue in global climate change studies. China has approximately 22% of the world's rice paddies and 38% of the world's rice production, which are crucial to accurately estimate the global warming potential (GWP) at regional scale. This paper reports an application of a biogeochemical model (DeNitrification and DeComposition or DNDC) for quantifying GWP from rice fields in the Tai-Lake region of China. For this application, DNDC is linked to a 1:50,000 soil database, which was derived from 1107 paddy soil profiles compiled during the Second National Soil Survey of China in the 1980–1990s. The simulated results show that the 2.34 Mha of paddy soil cultivated in rice–wheat rotation in the Tai-Lake region emitted about ?1.48 Tg C, 0.84 Tg N and 5.67 Tg C as CO₂, N₂O, and CH₄ respectively, with a cumulative GWP of 565 Tg CO₂ equivalent from 1982 to 2000. As for soil subgroups, the highest GWP (26,900 kg CO₂ equivalent ha^?1 yr^?1) was linked to gleyed paddy soils accounting for about 4.4% of the total area of paddy soils. The lowest GWP (5370 kg CO₂ equivalent ha^?1 yr^?1) was associated with submergenic paddy soils accounting for about 0.32% of the total area of paddy soils. The most common soil in the area was hydromorphic paddy soils, which accounted for about 53% of the total area of paddy soils with a GWP of 12,300 kg CO₂ equivalent ha^?1 yr^?1. On a regional basis, the annual averaged GWP in the polder, Tai-Lake plain, and alluvial plain soil regions was distinctly higher than that in the low mountainous and Hilly soil regions. As for administrative areas, the average annual GWP of counties in Shanghai city was high. Conversely, the average annual GWP of counties in Jiangsu province was low. The high variability in soil properties throughout the Tai-Lake region is important and affects the net greenhouse gas emissions. Therefore, the use of detailed soil data sets with high-resolution digital soil maps is essential to improve the accuracy of GWP estimates with process-based models at regional and national scales.