Anaerobic degradation behavior of nonylphenol polyethoxylates in sludge

Anaerobic biodegradation behavior of nonylphenol polyethoxylates (NPEOs) was investigated. Results showed that terminal electron acceptors, organic matters, initial concentration, and temperature had great influence on the anaerobic biodegradation of NPEOs. Anaerobic biodegradation of NPEOs could be enhanced by adding sulfate or nitrate while this process could be inhibited by adding organic matters. The maximum removal rate increased 1.24 microM d(-1) for each ten micromoles increase in initial concentration. The decrease in temperature caused a sharp decrease in the removal efficiency of NPEOs. The temperature coefficient (PHI) for the anaerobic biodegradation of NPEOs was 0.01 degrees C(-1). Nonylphenol (NP), the typical intermediate of NPEOs, could inhibit the anaerobic biodegradation of NPEOs only at high concentration. However, these environmental factors had no effect on the anaerobic biodegradation pathway of NPEOs. The accumulation of NP and short-chain NPEOs during NPEO biodegradation led to a significant increase in the estrogenic activity during the biodegradation period.     

A novel approach to predict aquatic toxicity from molecular structure

The main aim of the study was to develop quantitative structure-activity relationship (QSAR) models for the prediction of aquatic toxicity using atom-based non-stochastic and stochastic linear indices. The used dataset consist of 392 benzene derivatives, separated into training and test sets, for which toxicity data to the ciliate Tetrahymena pyriformis were available. Using multiple linear regression, two statistically significant QSAR models were obtained with non-stochastic (R2=0.791 and s=0.344) and stochastic (R2=0.799 and s=0.343) linear indices. A leave-one-out (LOO) cross-validation procedure was carried out achieving values of q2=0.781 (scv=0.348) and q2=0.786 (scv=0.350), respectively. In addition, a validation through an external test set was performed, which yields significant values of Rpred2 of 0.762 and 0.797. A brief study of the influence of the statistical outliers in QSAR's model development was also carried out. Finally, our method was compared with other approaches implemented in the Dragon software achieving better results. The non-stochastic and stochastic linear indices appear to provide an interesting alternative to costly and time-consuming experiments for determining toxicity.     

基于物元分析的武汉市水资源承载力分析

采用基于物元分析的城市水资源承载力评价方法,以武汉市为例,对其水资源的承载力进行计算和分析.结果表明,目前武汉市的水资源开发利用已达到一定规模,但在现有经济技术条件下(工业用水效率低、污水处理率低),其水资源承载力相对较小.从保护生态环境和维持武汉市社会经济可持续发展的角度考虑,提高武汉市水资源承载力的有效措施是扩展供水工程,同时应防治水环境污染、注意节水、走"集约"型用水道路.     

煤矿粉尘监测与矿尘成分分析

目的: 监测煤矿井下粉尘浓度,评价煤矿粉尘危害水平;分析煤尘的组成成份,为探讨粉尘性职业损害机制提供依据.方法: 运用粉尘采样器采集煤尘,计算作业场所瞬时总粉尘浓度(PC-STEL)和时间加权平均呼吸性粉尘浓度(PC-TWA).运用焦磷酸质量法测定煤矿粉尘中游离二氧化硅含量.原子吸收光谱法,测定粉尘中主要金属与类金属元素含量.结果: (1)甲、乙两矿PC-STEL分别为13.61±17.65 mg/m3、39.35±148.10 mg/m3,超过国家标准,样本超标率分别为52.9%、55.8%;PC-TWA分别为3.20±8.42 mg/m3、2.15±2.07 mg/m3,超标率分别17.5%和30.2%.(2) 游离二氧化硅含量为9.60 mg/m3,甲矿显著高于乙矿#(P<0.05),岩巷作业显著高于其它各组(P<0.05).(3)粉尘中Ni、Pb、Mn、As、Cd、Fe、Ca、Mg、Zn、Cu等金属与类金属元素的含量分别为16.2±6.5μg/g、50.6±36.1μg/g、103.4±54.7μg/g、37.5±44.4μg/g、235.9±292.4ng/ml、6224.6±4295.5μg/g、12715.8±26930.8μg/g、919.7±915.4μg/g、656.7±774.5μg/g和28.2±12.8μg/g;不同煤矿粉尘中金属与类金属元素的含量显著不同,同一煤矿不同采样点(工种)间亦有显著差异.结论: 煤矿作业场所粉尘污染仍比较严重,应进一步完善防、降尘体系;10种金属与类金属元素的含量占总粉尘的2.1%.     

化学需氧量在造纸废水中分布规律及采样点位的优化

目前对造纸废水的监测通常采取随机取样,很少考虑污染物在废水中的分布情况,所以取得的样品很难反映污染物的实际排放情况。为此,通过对某造纸厂排废废水中化学需氧量分布夫妻及采样点位的优化研究。     

Efficient microwave degradation of humic acids in water using persulfate and activated carbon

Environmental Chemistry Letters - Humic acids are complex mixtures of organic molecules of different sizes, molecular weights and functional groups such as phenols, carboxyls, quinones and amino...     

垂直面绿化植物遮阳系数与叶面积指数研究

比较、分析了农业研究中提出的叶面积指数LAI与用于建筑节能领域的垂直面绿化植物叶片遮阳系数SCPVW两个概念的异同和各自的应用范围。指出城市绿化采用水平或垂直绿化方式时,由于下垫面差异,植物叶片的遮阳系数应当分别采用LAI和SCPVW进行计算。     

Determination of 16 polycyclic aromatic hydrocarbons in water using fluorinated polyaniline-based solid-phase microextraction coupled with gas chromatography

The study on the performance of a fluorinated polyaniline (PANI) as a fiber coating for solid-phase microextraction (SPME) had been reported and 16 polycyclic aromatic hydrocarbons (PAHs) were selected to evaluate the performance of this fiber. Various parameters including sample volume, extraction temperature, time of desorption and extraction, pH and ionic strength were investigated intensively. A direct comparison between PANI-SPME fiber and commercial fiber was conducted. The results showed that the PANI-SPME coating had high affinity towards target compounds and the proposed method was successfully applied for the detection of real samples: rainfall and Taihu Lake water collected from Southern China. The whole PANI-SPME-GC method offers acceptable accuracy, precision and sensitivity and low detection limits, which is applicable to monitor trace levels of PAHs in real water bodies.