生物技术处理稠油废水的研究

试验分别利用三种生物处理方法：好氧、厌氧及酵母菌处理方法对稠油废水进行了处理。COD去除率在30%以下。在处理过程中,好氧污泥生物量表现出明显的增长。厌氧污泥及酵母菌在处理前后生物量几乎无变化。处理效果不明显与稠油废水可生化性差的性质有关,也与试验条件及选择菌种有关。     

水势与用氮量对土壤中石油降解的影响

研究了石油降解过程中，土壤有效氮的动态变化，不同用氮水平在两种土壤上对石油降解速率的影响，以及石油降解的土壤水势条件。结果表明，石油对土壤的污染没有影响土壤水势；在土壤水势为－１００～－２０ｋＰａ范围内，水势的降低没有影响石油分解，而当土壤水势为－１０００ｋＰａ时，石油降解速率与对照相比下降了１０％～３５％。在壤土上，肥料氮添加在碳（石油中碳）氮（肥料中氮）比为９０时，石油降解最快；过多施用肥料氮会降低石油的分解速率。     

高压静电应用在饮食业油烟净化上的设计

饮食业油烟排放时对大气产生较严重污染 ,本文介绍了高压静电在油烟净化上应用的原理和净化器的设计参数。     

冲激式湿式除尘器在燃用高挥发份煤锅炉除尘的应用

本文总结了各种类型除尘器在使用当地含挥发份较高的长焰煤种过程中的除尘效率,及其性能特点,详细阐述了冲击式湿式除尘器在燃用高挥发份煤锅炉除尘中的应用效果。     

扬沸火灾发生时间预测模型的建立与应用分析

原油储罐扬沸火灾由池火灾发展而成,是一种危害性极大的事故.准确预测扬沸事故发生的时间,是扬沸机理研究中的难题之一.现有扬沸时间计算的通用模型由于没有考虑油品的粘性作用,计算结果误差较大.把扬沸火灾简化为无内热源的非稳态传热问题,在此基础上进行传热分析,进而推导出扬沸事故时间计算模型.设定了6组不同尺寸和不同充装水平的原油储罐池火灾,利用推导模型计算出了相应的扬沸事故发生时间.将计算结果与通用模型计算结果以及实验结果进行对比:该模型的准确性由于通用模型,计算结果与实验值误差较小,较为合理.研究结果对于扬沸火灾事故下消防人员的灭火救援的安全保障具有重要意义.     

Use of a food web model to evaluate the factors responsible for high PCB fish concentrations in Lake Ellasjøen, a high Arctic Lake

Background, aim, and scope

Lake Ellasjøen, located in the Norwegian high arctic, contains the highest concentrations of polychlorinated biphenyls (PCBs) ever recorded in fish and sediment from high arctic lakes, and concentrations are more than 10 times greater than in nearby Lake Øyangen. These elevated concentrations in Ellasjøen have been previously attributed, in part, to contaminant loadings from seabirds that use Ellasjøen, but not Øyangen, as a resting area. However, other factors, such as food web structure, organism growth rate, weight, lipid content, lake morphology, and nutrient inputs from the seabird guano, also differ between the two systems. The aim of this study is to evaluate the relative influence of these factors as explanatory variables for the higher PCB fish concentrations in Ellasjøen compared with Øyangen, using both a food web model and empirical data.

Methods

The model is based on previously developed models but parameterized for Lakes Ellasjøen and Øyangen using measured data wherever possible. The model was applied to five representative PCB congeners (PCB 105, 118, 138, 153, and 180) using measured sediment and water concentrations as input data and evaluated with previously collected food web data.

Results

Modeled concentrations are within a factor of two of measured concentrations in 60% and 40% of the cases in Lakes Ellasjøen and Øyangen, respectively, and within a factor of 10 in 100% of the cases in both lakes. In many cases, this is comparable to the variability associated with the data as well as the efficacy of the predictions of other food web model applications.

Discussion

We next used the model to quantify the relative importance of five major differences between Ellasjøen and Øyangen by replacing variables representing each of these factors in the Ellasjøen model with those from Øyangen, in separate simulations. The model predicts that the elevated PCB concentrations in Ellasjøen water and sediment account for 49%–58% of differences in modeled fish PCB concentrations between lakes. These elevated sediment and, to a lesser extent, water concentrations in Ellasjøen are due to PCB loadings from seabird guano. However, sediment–water fugacity ratios of PCBs are consistently greater in Ellasjøen compared with Øyangen, which suggests that internal lake processes also contribute to differences in sediment and water concentrations. We hypothesize that the nutrients associated with guano influence sediment–water fugacity ratios of PCBs by increasing the stock of pelagic algae. As both these algae and the guano settle, their organic carbon content is degraded faster than PCBs, which causes an extra magnification step in Ellasjøen before these detrital particles are consumed by benthic organisms, which are in turn consumed by fish. The model predicts that the remaining ～50% of the differences in PCB concentrations observed between the fish of these lakes are due to other subtle differences in their food web structures.

Conclusions

In conclusion, based on the results of a food web model, we found that the most dominant factors influencing the higher PCB fish concentrations in Lake Ellasjøen compared with Øyangen are the higher sediment and water concentrations in Ellasjøen, caused by seabird guano. Together, sediment and water are predicted to account for 49%–58% of differences in fish concentrations between lakes. Although seabird guano provides a source of nutrients to the lake, in addition to contaminants, empirical data and indirect model results suggest that nutrients are not leading to decreased bioaccumulation, in contrast to what has been observed in temperate, pelagic food webs.

Recommendations and perspectives

The results of this study emphasize the importance of considering even small differences in food web structure when comparing bioaccumulation in two lakes; although the food web structures of Ellasjøen and Øyangen differ only slightly, the model predicts that these differences account for most of the remaining ～50% of the differences in PCB fish concentrations between the two lakes. This study further demonstrates the utility of food web models as we were able to predict and tease apart the influence of various factors responsible for the elevated concentrations in the fish from Lake Ellasjøen, which would have been difficult using the field data alone.     

Modulation-assisted high speed machining of compacted graphite iron (CGI)

The application of controlled, low-frequency modulation (～100 Hz) superimposed onto the cutting process in the feed-direction – modulation-assisted machining (MAM) – is shown to be quite effective in reducing the wear of cubic boron nitride (CBN) tools when machining compacted graphite iron (CGI) at high machining speeds (>500 m/min). The tool life is at least 20 times greater than in conventional machining. This significant reduction in wear is a consequence of the multiple effects realized by MAM, including periodic disruption of the tool–workpiece contact, formation of discrete chips, enhanced fluid action and lower cutting temperatures. The propensity for thermochemical wear of CBN, the principal wear mode at high speeds in CGI machining, is thus reduced. The tool wear in MAM is also found to be smaller at the higher cutting speeds (730 m/min) tested. The feed-direction MAM appears feasible for implementation in industrial machining applications involving high speeds.     

含油污泥三相离心分离处理技术研究

针对原油生产过程中产生的大量含油污泥,油泥成分复杂、严重污染周边环境且造成资源浪费的情况,采用三相离心分离工艺对含油污泥进行处理。通过室内试验研究,确定了含油污泥处理的最佳条件。添加分离剂能够改善油泥分离性能,提高油泥温度能够改善油泥流动效果,摸索出油泥离心分离的最佳时间和离心速率,并对分离后的三相物质进行物性检测。该工艺处理含油污泥可以有效的回收原油,处理后固相减量75%,实现含油污泥减量化、资源化处理的目的。     

高效液相色谱法测定稻米和稻田水土中多菌灵残留

采用高效液相色谱法测定稻米和稻田水土中的多菌灵残留,用稀盐酸溶液提取,经液液分配净化,外标法定量。多菌灵的峰面积与进样质量在0．15ng-220ng范围内呈线性相关,在稻田水、土壤和稻米中的最低检出质量比分别为0．01mg／kg、0．01mg／kg和0．02mg／kg。3个质量水平的加标回收试验结果表明,多菌灵在稻田水样中的平均回收率为87．1％～93．0％,RSD为3．3％～3．8％;在土壤中的平均回收率为84．8％-91．9％,RSD为1．4％～4．1％;在稻米中的平均回收率为83．9％～89．6％,RSD为1．8％-5．5％。     

菌渣中阿维菌素残留检测方法及其无害化工艺研究

文章建立了简单、快速的阿维菌素菌渣中阿维菌素残留量高校液相色谱检测方法以及利用水热法处理阿维菌素菌渣。采用固相萃取-高效液相色谱检测方法测定阿维菌素菌渣中阿维菌素残留量,提取剂为乙腈/水=4/1(V/V),采用HLB固相萃取柱进行净化。加标回收率90.3%~107.3%,相对标准偏差(RSD)为3.00%~5.69%,阿维2菌素标准曲线线性相关系数R~2=0.999 6,线性范围为1.0~1 000 mg/L。利用正交实验,水热法处理阿维菌素菌渣,在190℃的温度下处理2 h后,菌渣中阿维菌素残留量由991.30降至0.84 mg/kg,去除率达99.92%。处理前后的菌渣与有机肥标准作对比,除含水率外其余检测指标均达到有机肥标准要求。该项研究为阿维菌素菌渣的资源化利用提供了理论依据。