铁炭微电解预处理高浓度高盐制药废水

采用铁炭微电解法预处理高浓度高盐制药废水,并对反应条件、处理效果、反应动力学和机理进行研究。通过单因素实验初步研究进水pH、铁用量、反应时间和铁炭比对处理效果的影响;通过正交实验表明进水pH对处理效果影响最大,并得到最佳反应条件为:进水pH为4.5,铁投加量40 g/L,铁炭质量比1∶1,反应时间4 h,COD去除率可达40%以上,并可以提高废水的可生化性,后续通过厌氧生物处理出水可达二级污水综合排放标准。通过对各级反应动力学方程进行回归分析,表明微电解处理制药废水基本遵循一级反应动力学。铁炭微电解处理制药废水效果好,并可以提高可生化性,同时具有操作简单和成本低的优点,为制药废水的预处理提供新的途径。     

基于信息熵的灰色模型在地质灾害评价中的应用——以四川青川县为例

地质灾害的发生是由地层岩性、地质构造、地形地貌、气象条件和人类工程活动等诸多因素综合作用的结果,依靠知识与监测无法完全认识其复杂的演变机制,是一种典型的"灰色系统"。基于灰色理论的模型在区域地质灾害危险性评价中得到了广泛的应用,但是由于地质灾害的复杂性,这种以模型为核心的评价方法难以抽象或概化出模型所需的条件,因此出现了评价方与评价对象之间的"不兼容"现象。传统的方法是利用人为的主观判断来获取评价模型所需的条件,不可避免地带来评价的随意性与主观性。通过引入信息熵理论,对传统的灰色模型进行修正,建立了基于信息熵的灰色模型,很好地解决了这个问题。以四川青川县为例,对该模型的正确性进行了应用,取得了较好的效果。     

Comparison on gestation and lactation exposure of perfluorinated compounds for newborns

Perfluorinated compounds (PFCs) are worldwide present in the environment and the general population. Animal studies have shown developmental toxicity of these compounds. To investigate the PFCs exposure of neonates from mother during gestation and lactation, we analyzed twelve PFCs in matched maternal serum, cord serum and breast milk samples collected from 50 pairs of women and their newborns between June and July 2009 in Jinhu, China. Eight PFCs were detected in serum samples, and five of them were also detectable in breast milk. A significant intercorrelation between PFCs concentrations in matched maternal serum, cord serum and breast milk was observed (p<0.01, r=0.435-0.911). The median partition ratio was from 0.39:1 (PFDA) to 1.74:1 (PFTrDA) for seven PFCs through the placenta, and was from 0.02:1 (PFOS) to 0.09:1 (PFOA) for five PFCs through the lactation. A high transport efficiency of PFOA both through placental barrier and lactation was observed. The postnatal exposure of PFCs through lactation was higher compared to prenatal exposure, especially for PFOA.     

完全自营养脱氮过程中的影响因素

基于正交实验考察了溶解氧（DO）、初始NH4＋-N浓度、pH对SBR自营养脱氮性能的影响。结果表明,DO和NH4＋-N浓度对好氧氨氧化速率影响大,pH对好氧氨氧化速率的影响小;DO、NH4＋-N浓度对亚硝酸氧化速率的影响较大,pH对亚硝酸氧化速率的影响较小;DO、NH4＋-N浓度和pH对厌氧氨氧化菌（ANAOB）的活性影响较小。好氧氨氧化菌（AOB）直接影响到CANON系统的总氮去除能力,是CANON系统的控制反应,DO是关键控制因子。实验确定的CANON系统优化运行条件为,DO（0．3±0．05）mg／L、初始NH4＋-N浓度150mg／L和pH7．4。     

Remote sensing of aquatic vegetation distribution in Taihu Lake using an improved classification tree with modified thresholds

Classification trees (CT) have been used successfully in the past to classify aquatic vegetation from spectral indices (SI) obtained from remotely-sensed images. However, applying CT models developed for certain image dates to other time periods within the same year or among different years can reduce the classification accuracy. In this study, we developed CT models with modified thresholds using extreme SI values (CT(m)) to improve the stability of the models when applying them to different time periods. A total of 903 ground-truth samples were obtained in September of 2009 and 2010 and classified as emergent, floating-leaf, or submerged vegetation or other cover types. Classification trees were developed for 2009 (Model-09) and 2010 (Model-10) using field samples and a combination of two images from winter and summer. Overall accuracies of these models were 92.8% and 94.9%, respectively, which confirmed the ability of CT analysis to map aquatic vegetation in Taihu Lake. However, Model-10 had only 58.9-71.6% classification accuracy and 31.1-58.3% agreement (i.e., pixels classified the same in the two maps) for aquatic vegetation when it was applied to image pairs from both a different time period in 2010 and a similar time period in 2009. We developed a method to estimate the effects of extrinsic (EF) and intrinsic (IF) factors on model uncertainty using Modis images. Results indicated that 71.1% of the instability in classification between time periods was due to EF, which might include changes in atmospheric conditions, sun-view angle and water quality. The remainder was due to IF, such as phenological and growth status differences between time periods. The modified version of Model-10 (i.e. CT(m)) performed better than traditional CT with different image dates. When applied to 2009 images, the CT(m) version of Model-10 had very similar thresholds and performance as Model-09, with overall accuracies of 92.8% and 90.5% for Model-09 and the CT(m) version of Model-10, respectively. CT(m) decreased the variability related to EF and IF and thereby improved the applicability of the models to different time periods. In both practice and theory, our results suggested that CT(m) was more stable than traditional CT models and could be used to map aquatic vegetation in time periods other than the one for which the model was developed.     

Dynamic changes in functional gene copy numbers and microbial communities during degradation of pyrene in soils

This study investigates the dynamics of pyrene degradation rates, microbial communities, and functional gene copy numbers during the incubation of pyrene-spiked soils. Spiking pyrene to the soil was found to have negligible effects on the bacterial community present. Our results demonstrated that there was a significant difference in nidA gene copy numbers between sampling dates in QZ soil. Mycobacterium 16S rDNA clone libraries showed that more than 90% mycobacteria detected were closely related to fast-growing PAH-degrading Mycobacterium in pyrene-spiked soil, while other sequences related to slow-growing Mycobacterium were only detected in the control soil. It is suggested that nidA gene copy number and fast-growing PAH-degrading Mycobacterium could be used as indicators to predict pyrene contamination and its degradation activity in soils.     

杭州市灰霾天气基本特征及成因分析

根据浙江省近50年的灰霾天气统计数据,总结了浙江省灰霾天气特征。以杭州市为例,从杭州市地形地貌、气候因素和污染物排放因素3方面分析了杭州市灰霾天气成因,介绍了杭州市大气颗粒物污染特征及源解析。结果表明,杭州市灰霾天气频率显著升高,污染物排放是导致灰霾天气发生频率升高的直接原因,杭州市大气颗粒物中以细微颗粒物为主,大气污染类型已从煤烟型污染转变成复合型污染。结合杭州市大气污染现状,初步提出了灰霾天气防控对策。     

从说课看高职高专院校学情

高职高专学生由于特定的生理和心理特点,在选修体育课程过程中出现随群现象,学习积极性不高。通过说课对高职高专院校的学情加以分析,以便科学地、有目地、有针对性地安排教学内容,增强学生的自信心,提高他们的心理素质和身体素质。     

Characteristics and source apportionment of VOCs measured in Shanghai,China

Volatile organic compounds (VOCs) were measured from 2007 to 2010 at the center of Shanghai, China. Because VOCs are important precursors for ozone photochemical formation, detailed information of VOC sources needs to be investigated. The results show that the measured VOC concentrations in Shanghai are dominated by alkanes (43%) and aromatics (30%), following by halo-hydrocarbons (14%) and alkenes (6%). Based on the measured VOC concentrations, a receptor model (PMF; positive matrix factorization) coupled with the information related to VOC sources (the distribution of major industrial complex, meteorological conditions, etc.) is applied to identify the major VOC sources in Shanghai. The result shows that seven major VOC sources are identified by the PMF method, including (1) vehicle related source which contributes to 25% of the measured VOC concentrations, (2) solvent based industrial source to 17%, (3) fuel evaporation to 15%, (4) paint solvent usage to 15%, (5) steel related industrial production to 12%, (6) biomass/biofuel burning to 9%, and (7) coal burning to 7%. Furthermore, ozone formation potential related to VOC sources is calculated by the MIR (maximum incremental reactivity) technique. The most significant VOC source for ozone formation potential is solvent based industrial sources (27%), paint solvent usage (24%), vehicle related emissions (17%), steel related industrial productions (14%), fuel evaporations (9%), coal burning (6%), and biomass/biofuel burning (3%). The weekend effect on the VOC concentrations shows that VOC concentrations are generally higher in the weekdays than in the weekends at the sampling site, suggesting that traffic conditions and human activities have important impacts on the VOC emissions in Shanghai.