SFT下的云化故障概率分布变化趋势研究

为了扩展空间故障树SFT的应用性,特别是处理具有离散性、随机性和模糊性(不确定性)的实际运行中系统产生的故障数据,利用云模型重构系统故障概率分布变化趋势的计算方法。通过故障概率分布变化趋势可得到系统故障概率随某一因素变化情况。建立云化故障概率分布变化趋势方法的目的在于,对于可靠性数据普遍存在的不确定性可使用云模型进行表示;构建的故障概率分布函数是连续的,可进行函数求导以方便得到变化趋势。将云化故障概率分布变化趋势方法应用于经典实例,得到了一些定性和定量结果。论述了该方法在理论和实际应用上的价值。     

Selection of poly(R)-3-hydroxybutyric acid utilising bacteria by enrichment,optimisation and compatibility testing for consortia development

Bacterial strains with poly-3-hydroxybutyrate (PHB) degradation potential were isolated from waste yard soil samples of selected industrial sites in Uttarakhand, India, and two microbial consortia were developed, i.e. Consortium I comprises Pseudomonas sp. strain Rb10, Pseudomonas sp. strain Rb11 and Bacillus sp. strain Rb18, and Consortium II is composed of Lysinibacillus sp. strain Rb1, Pseudomonas sp. strain Rb13 and Pseudomonas sp. strain Rb19. The current study involved enrichment selection via liquid and semi-solid media, followed by isolation and screening of bacterial strains using PHB pellets and films. Furthermore, the identification and characterisation was done by triphasic approach. The utilisation of PHB by the characterised strains was confirmed by Fourier transform infrared spectroscopy and scanning electron microscopy. Moreover, the minimum inhibitory concentration of solubilised PHB was found to be 2.5?mg/mL, which was detected through ‘clear zone assay’. Further, the selection and biocompatibility testing of potential isolates were performed for the formation of bacterial consortia. Thus, the present work would provide direct and standardised protocol for screening and selection of potential microbiomes for biodegradation of polymers by overcoming the negative effect of organic solvents. Moreover, indigenously developed consortia would be evaluated for their in situ biodegradation potential against various bioplastic films.     

纳米二氧化钛在老化环境条件下对铜诱导毒性的影响

纳米二氧化钛颗粒(nTiO₂)可以通过吸附表层水中共生重金属来改变它们对淡水无脊椎动物的毒性。然而,影响这种交互过程的几种环境因子的相对重要性仍不清楚。因此,本研究通过连续72 h的培养试验,评估了老化对Cu与nTiO₂对大型蚤Daphnia magna联合急性毒性的影响。在老化过程中,对老化时间以及离子强度、pH值和不同质量有机物质等因子都进行了考察。研究结果表明,尽管影响效应的大小不同,nTiO₂的存在往往减少了老化后Cu对大型蚤的诱发毒性,在没有nTiO₂的情况下,Cu对大型蚤急性毒性的EC₅₀值提高了3倍之多。此外,各种形态Cu的形成受到介质中的离子组成、pH值以及有机添加剂存在的影响,这一过程受到极大的调控,并随着老化时间对大型蚤生态毒性的响应有一定影响。尽管如此,该研究的结论对nTiO₂在淡水生态系统中不同环境条件下,改变重金属诱发毒性的潜在作用提供了有力的支持。然而,这种模式需要进一步验证,比如结合不同性质的重金属离子与不同的环境因素,如紫外线照射。
精选自Ricki R. Rosenfeldt, Frank Seitz, Ann-Cathrin Haigis, Johanna H?ger, Jochen P. Zubrod, Ralf Schulz, Mirco Bundschuh. Nanosized titanium dioxide influences copper induced toxicity during aging as a function of environmental conditions. Environmental Toxicology and Chemistry: Volume 35, Issue 7, pages 1766–1774, July 2016. DOI: 10.1002/etc.3325
详情请见http://onlinelibrary.wiley.com/doi/10.1002/etc.3325/full
     

卫星云图样本集的FCM优化调整与云类判别

基于云类样本的红外-可见光二维灰度空间投影,采用模糊聚类方法调整优化云类样本特征区域,消除采样误差。针对常规模糊C均值聚类(FCM)方法在处理上述问题时表现出的局限性,提出用样本特征均值替代FCM中随机初始中心的改进办法,既避免了常规FCM方法对初始中心敏感的缺陷,又可纠正其聚类结果对云类样本特征结构的歪曲。改进后的聚类结果既消除了采样误差,又保持了云类样本的基本特征属性,基于该判据的分类结果可较为准确地分辨出陆地、水体、低云、中云、卷云和积雨云,分割判别效果符合客观实际。     

码头油品蒸气云爆炸事故危害评价

运用“蒸气云爆炸”模型,对某码头油品蒸气云爆炸事故危害程度进行分析评价,得出油品爆炸事故危害程度分布的规律,为码头安全运行提供参考。     

基于Sentinel-1A极化SAR数据与面向对象方法的山区地表覆被分类

地表覆被分类对国土资源调查评估及全球变化具有基础性和关键性意义,但山区由于地形和云雾等的影响,可利用光学遥感影像和其他资源十分稀缺。因此,论文以渝东南山区为研究区,基于Sentinel-1A极化合成孔径雷达（SAR）数据,通过系列预处理,得到后向散射系数值,同时对各类地物的VV/VH极化后向散射系数、纹理、高程和坡度等特征值统计分析,综合这些特征值运用面向对象分类方法对单时相与多时相SAR数据进行地表覆被分类,最后将这两种分类方法与Landsat 8 OLI数据分类作对比。研究表明：1）在同时运用面向对象分类方法的前提下,单时相SAR数据分类和Landsat 8 OLI数据分类精度相当,多时相SAR数据面向对象分类精度最高,总精度为85.65%,Kappa系数为0.829 9;2）与光学数据相比,SAR数据对阔叶林、人工建筑提取有优势,精度提高了10%以上,多时相特征有利于耕地和针阔混交林提取,分类精度比单时相提高了9%左右;3）研究区土地覆被类型以林地为主,占总面积的42.68%,耕地、草灌次之,人工建筑、草地与河流占地面积较少。     

Drought risk reduction through a Socio-economic,Institutional and Physical approach in the northwestern region of Bangladesh

In Bangladesh, drought is seasonal and can destroy crops, causing hardship to poor agricultural labourers and others who cannot find alternative sources of income. Droughts most commonly affect the northwestern region, which generally has less rainfall than the rest of the country. In this context, this study attempts to measure the existing level of drought resilience with indicators related to Socio-economic, Institutional and Physical (SIP) conditions in two of the most drought-prone districts, namely Rajshahi and Chapai-Nawabganj. The results of 14 sub-districts (upazilas) show a variation of 2.41 (lowest resilience) and 3.61 (highest resilience) in a scale of 1–5. Some of the critical areas that need improvement include education and awareness, conflict resolution on water usage, policy enhancement, coordination among different stakeholders and proper land-use pattern. SIP methodology can be used as a rapid planning tool at the district level, and as a micro-level planning and improvement tool at the sub-district level. The tool has potential application for a participatory and process-based approach of engaging local stakeholders in minimizing drought risks in future.     

Natural resource depletion and the economic performance of local districts: suggestions from a within-country analysis

SUMMARY

Studying the interactions among ecological factors and economic performance measured at the local scale is necessary to suggest policies able to mitigate natural resource depletion in complex ecosystems, like those in the Mediterranean region. The aim of this paper is to explore the relationship among natural resource depletion due to land degradation (LD) and some economic characteristics of local labour systems in Italy, a country where many areas, especially southern regions, are vulnerable. LD was estimated using an environmental sensitive area index, covering the national territory at a fine scale, which takes into account ecological factors such as climate, soil and vegetation. Economic indicators used here consider per capita income, land productivity, production and labour productivity by sector (agriculture, industry and services). A regression analysis was built-up at the LLS scale using an index change over time (1990–2000) as dependent variable and economic variables as predictors. A principal component analysis (PCA) was carried out to synthesise the outputs of the regression analysis. Results indicate a negative relationship among per capita income and LD over the whole study area. However, other variables showed a significant correlation with the dependent variable, highlighting the importance of local factors to increase land vulnerability. In order to clarify the contribution of economic factors to natural resource depletion it is necessary to drive integrate policies to combat LD in dry Mediterranean areas.     

N-亚硝基二甲胺(NDMA)的环境过程和毒理效应

N-亚硝基二甲胺(NDMA)是一种工业和环境污染物,具有强烈的致癌、致畸和致突变毒性;实验证明它可导致动物很多器官包括肝脏、肺和肾脏的癌症;它几乎无处不在,广泛分布于人类的生活环境中,已引起了人们的高度重视。在综合了大量文献的基础上,充分总结了NDMA的物理和化学性质、来源、毒理学信息和暴露途径等,并就研究中尚未解决的问题作了讨论,以期为NDMA的人类毒理效应研究以及各类标准的制定提供科学依据。     

浊点萃取技术在环境样品痕量元素分析中的应用研究进展

浊点萃取法是近年来发展起来的一种绿色环保的样品前处理技术.本文详细介绍了浊点萃取方法的原理,对国内外近5年来(2008年—至今)利用浊点萃取与几种常见的原子光谱分析仪器以及与电感耦合等离子体质谱仪联用技术,在环境样品中痕量元素分离和富集以及形态分析中的应用研究进展进行了评述.同时对浊点萃取技术目前的最新发展方向、尚存在的问题以及发展前景进行了逐一探讨.