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机油高效降解菌群筛选及降解效果初探 总被引:2,自引:0,他引:2
从多处受石油污染的土壤中经过初步筛选、混合驯化得到以机油为唯一碳源进行生长代谢的混合菌群.利用此混合菌群进行的降解实验结果表明,该菌群对高浓度机油废水具有较强的降解能力,初始含机油约2.0 g/L的人工废水.接种量为0.1%(菌体湿重/培养液体积),经过7 d的降解,机油可降至403 mg/L,降解率达81.4%;对不同浓度机油废水的降解实验结果表明,在静态实验条件下,机油质量浓度在不高于1 000 mg/L(含1 075 mg/L),混合菌群在降解过程中能自行从降解产酸的不良环境中恢复,机油质量浓度在2 000 mg/L以上,初期产酸较多,pH下降幅度较大,在7 d的周期内,废水pH无法恢复,说明在降解后期仍有大量有机酸积累而未被彻底降解;与葡萄糖共基质的降解实验结果表明,经过7 d的降解.不超过150 mg/L,的葡萄糖与1 000 mg/L机油组成的共基质体系中,机油降解基本不受葡萄糖加入的影响,但可加强早期的降解速率.而葡萄糖高于150 mg/L时,则会对混合菌群的除油率产生抑制,抑制程度随着葡萄糖浓度的提高而加大. 相似文献
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李利 《防灾技术高等专科学校学报》2006,8(2):112-114
将中国机械史及国情教育融入机零机原课教学中,无疑对加强和改进大学生思想政治教育,能起到很好的推动作用。中国机械史,内涵丰富;国情教育,贴近实际;是提高大学生素质的重要内容。 相似文献
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本文结合沈阳水泥机械厂铸造车间二台10t振动落砂机噪声、粉尘治理,阐述了落砂机振动、噪声及粉尘飞扬的特点,控制原理、主要措施、治理效果. 相似文献
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We explored the effects of prevalence, latitudinal range and clumping (spatial autocorrelation) of species distribution patterns on the predictive accuracy of eight state-of-the-art modelling techniques: Generalized Linear Models (GLMs), Generalized Boosting Method (GBM), Generalized Additive Models (GAMs), Classification Tree Analysis (CTA), Artificial Neural Network (ANN), Multivariate Adaptive Regression Splines (MARS), Mixture Discriminant Analysis (MDA) and Random Forest (RF). One hundred species of Lepidoptera, selected from the Distribution Atlas of European Butterflies, and three climate variables were used to determine the bioclimatic envelope for each butterfly species. The data set consisting of 2620 grid squares 30′ × 60′ in size all over Europe was randomly split into the calibration and the evaluation data sets. The performance of different models was assessed using the area under the curve (AUC) of a receiver operating characteristic (ROC) plot. Observed differences in modelling accuracy among species were then related to the geographical attributes of the species using GAM. The modelling performance was negatively related to the latitudinal range and prevalence, whereas the effect of spatial autocorrelation on prediction accuracy depended on the modelling technique. These three geographical attributes accounted for 19–61% of the variation in the modelling accuracy. Predictive accuracy of GAM, GLM and MDA was highly influenced by the three geographical attributes, whereas RF, ANN and GBM were moderately, and MARS and CTA only slightly affected. The contrasting effects of geographical distribution of species on predictive performance of different modelling techniques represent one source of uncertainty in species spatial distribution models. This should be taken into account in biogeographical modelling studies and assessments of climate change impacts. 相似文献
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为解决施工过程安全信息的虚实交互难题,降低施工过程安全风险,提出施工过程安全数字孪生模型。建立施工过程安全语义本体,分析施工过程安全关键知识要素;定义施工过程安全数字孪生五维模型,明确模型的构成和功能,基于物联网和有限状态机构建施工过程安全监控方法,并以塔吊顶升活动安全监控为例进行应用。研究结果表明:该模型能够实现塔吊顶升施工过程安全的数字化表达、参数化监测和自动化控制。 相似文献