青冰滩冰川水文特征初步分析

通过对青冰滩冰川的综合考察,对该地区2008-08-01日至08-31日的水文、气象以及水环境进行了连续观测。结果表明:冰川表面大量覆盖冰碛增加了冰川表面的反射率,加速了冰川消融;整个8月日均气温在8℃以下,气温的日较差较大,冰川消融期的降水以降雪和冰雹为主;冰川融水的电导率和溶解性固体相关系数可达0.98,两者与气温的相关度也可达到0.8以上。     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.     

高级氧化技术降解环烷酸的研究进展

针对原油及油砂洗脱废水中的环烷酸所具有的酸性、毒性、腐蚀性等特点,介绍了多种降解环烷酸的高级氧化技术,包括Fenton氧化法、臭氧氧化法、光催化氧化法、超临界氧化法、微波辐照法等。评述了高级氧化技术降解环烷酸的最新进展和发现,分析了各种技术的处理效果,并总结了各种技术的优缺点。最后,提出了处理石油行业环烷酸废水的一些思路,为现阶段石油行业环烷酸废水的处理提供了参考。     

Investigation into the effect of high concentrations of volatile fatty acids in anaerobic digestion on methanogenic communities

A study was conducted to determine whether differences in the levels of volatile fatty acids (VFAs) in anaerobic digester plants could result in variations in the indigenous methanogenic communities. Two digesters (one operated under mesophilic conditions, the other under thermophilic conditions) were monitored, and sampled at points where VFA levels were high, as well as when VFA levels were low. Physical and chemical parameters were measured, and the methanogenic diversity was screened using the phylogenetic microarray ANAEROCHIP. In addition, real-time PCR was used to quantify the presence of the different methanogenic genera in the sludge samples. Array results indicated that the archaeal communities in the different reactors were stable, and that changes in the VFA levels of the anaerobic digesters did not greatly alter the dominating methanogenic organisms. In contrast, the two digesters were found to harbour different dominating methanogenic communities, which appeared to remain stable over time. Real-time PCR results were inline with those of microarray analysis indicating only minimal changes in methanogen numbers during periods of high VFAs, however, revealed a greater diversity in methanogens than found with the array.     

石化行业的VOCs排放控制管理

概述了我国挥发性有机化合物（VOCs）的排放情况。介绍了国内外VOCs的管理现状。分析了国内石化行业VOCs排放控制管理中存在的主要问题以及污染物排放过程的类别。提出了明确定义、制定相关标准、完善分类管理体系、研究最佳的可行性控制技术等加强VOCs排放控制管理的对策和建议。     

基于CA-MAS的水域总有机碳扩散模拟研究

当前水环境污染扩散研究一般基于普通数值模型模拟,忽略了水污染扩散微观驱动力的影响。为能更真实地反映其动态扩散过程,针对水域总有机碳(TOC)扩散机理,基于CA和MAS技术,将影响TOC扩散的自然和社会经济因素抽象为微观的水流Agent、风速Agent、径流量Agent、污水排放口Agent、人工管理Agent以及农业生产地Agent,将研究水域抽象为CA元胞空间,建立了CA-MAS水域总有机碳扩散模型,对水域总有机碳的动态演化过程进行模拟,并以武汉理工大学鉴湖水域作为实验区域,借助NetLogo仿真平台完成了模型的实现与验证。模拟结果表明,该模型基本能够反映水体总有机碳的扩散规律,可以为水环境污染控制提供参考。     

干式厌氧消化过程挥发酸对硫酸盐还原菌的影响

在牛粪干式厌氧消化过程中,通过添加不同挥发酸(乙酸、丙酸、丁酸),考察消化稳定阶段,挥发性脂肪酸的分布特征,挥发性脂肪酸酸组成变化对硫酸盐还原菌(SRB)的影响,微生物种群组成和种群间关系。实验结果表明,挥发性脂肪酸对SRB还原速率的贡献依次为:丙酸丁酸乙酸。相比乙酸和丁酸,添加一定量的丙酸,更有利于激活SRB的活性,从而加强SRB与产甲烷菌(MB)的种间协同,保证厌氧系统的稳定运行。     

基于用水总量控制的水资源承载能力分析研究——以赣江袁河流域为例

通过界定水资源承载能力的概念和内涵,提出基于总量控制条件下人口 经济 水资源三者系统协调耦合的水资源承载能力分析计算方法,分别采用产业结构调整和水资源优化配置模型等措施,以赣江袁河流域水资源承载能力分析计算进行例证。研究结果表明：在用水总量控制、保障社会发展水平和人均GDP水平条件下,（1）优化后行业用水定额下降,流域需水总量减少,水资源利用效率提高,目标年2015年和2030年流域需水量调整后较调整前分别减少036亿m3、090亿m3,较调整前下降了23%和53%;（2）对于不同目标年,优化后用水区域可承载GDP和承载人口有所增加,2015年和2030年全流域可承载GDP分别增加2649亿元和15191亿元,全流域可承载人口分别增加773万人和1874万人     

Phospholipid fatty acid biomarkers in a freshwater periphyton community exposed to uranium: discovery by non-linear statistical learning

Phospholipid fatty acids (PLFA) have been widely used to characterize environmental microbial communities, generating community profiles that can distinguish phylogenetic or functional groups within the community. The poor specificity of organism groups with fatty acid biomarkers in the classic PLFA-microorganism associations is a confounding factor in many of the statistical classification/clustering approaches traditionally used to interpret PLFA profiles. In this paper we demonstrate that non-linear statistical learning methods, such as a support vector machine (SVM), can more accurately find patterns related to uranyl nitrate exposure in a freshwater periphyton community than linear methods, such as partial least squares discriminant analysis. In addition, probabilistic models of exposure can be derived from the identified lipid biomarkers to demonstrate the potential model-based approach that could be used in remediation. The SVM probability model separates dose groups at accuracies of ∼87.0%, ∼71.4%, ∼87.5%, and 100% for the four groups; Control (non-amended system), low dose (amended at 10 μg U L⁻¹), medium dose (amended at 100 μg U L⁻¹), and high dose (500 μg U L⁻¹). The SVM model achieved an overall cross-validated classification accuracy of ∼87% in contrast to ∼59% for the best linear classifier.     

利用缫丝废水处理过程中产生的微生物蛋白制备复合氨基酸

以缫丝废水处理过程中产生的微生物蛋白为原料,采用正交实验分析了采用酸水解、超声波水解、微波水解制备复合氨基酸的最佳工艺条件,并对比了最佳工艺条件下的水解效果.结果表明,酸水解的最佳工艺条件是水解时间2.Oh、固液比(体积比,下同)5∶1、硫酸质量分数50％、水解温度100℃,超声波水解的最佳工艺条件是水解时间0.5h、...