太阳辐射减弱对灌浆期冬小麦光合特性及膜脂过氧化水平的影响

以扬麦13为供试材料,通过大田试验方法研究了太阳辐射减弱对冬小麦灌浆期光合生理特性、保护酶系统及膜脂过氧化水平的影响. 设置了5个太阳辐射减弱处理,各处理的太阳辐射强度分别为自然光照的100%(CK),60%,40%,20%和15%. 结果表明:太阳辐射减弱导致冬小麦叶片的光合生理特性发生明显变化,表现为净光合速率(P_n)减少,气孔限制值(L_s)和蒸腾速率(T_r)显著降低,但胞间CO₂浓度(C_i)却逐渐上升;随着太阳辐射减弱程度的增加,冬小麦叶片的CAT(过氧化氢酶),SOD(超氧化物歧化酶)和POD(过氧化物酶)活性均显著增加,表现出较高的抗性,但MDA(丙二醛)含量及EC(电导率)降低,说明太阳辐射减弱未使作物膜系统受到明显伤害;在太阳辐射减弱条件下,冬小麦光合色素的含量增加较明显,但w(Chla)/w(Chlb)下降,对太阳辐射中偏向短波部分波段的吸收能力增强. 综上所述,在太阳辐射减弱条件下,冬小麦灌浆期通过提高保护酶系统的活性避免细胞膜系统的膜脂过氧化伤害,同时提高w(Chlb)以增强光能的利用能力. 尽管如此,由于太阳辐射能量的不足,作物的P_n仍持续下降,且主要是由非气孔因素引起.      

Variations in δ13C of water–soluble leaf and phloem organic matter of Platycladus orientalis: influences of photosynthetic and post–photosynthetic fractionation

Analysis of variations in water–soluble organic matter (WSOM) δ¹³C of leaves and phloem can efficiently describe the δ¹³C distributions within plants and identify the temporal variation of δ¹³C. In this study, WSOM δ¹³C values of both leaves and phloem (twig, stem, and root) of Platycladus orientalis were measured during seven sunny days, including 2–hour interval measurements at three days for diel pattern analysis and 6–hour interval measurements at the remaining four days for day–to–day variation analysis. Analysis of WSOM δ¹³C in different plant organs showed that ¹³C was generally depleted from leaves to twigs, then enriched in stems and subsequently depleted in roots. Stems were significantly ¹³C–enriched compared to twigs (p?<?0.05), while δ¹³C differences between stems and other organs and among leaves, twigs and roots were not significant (p?>?0.05). No clear diel patterns in δ¹³C of leaves and phloem were found. Daily average δ¹³C values indicated that all plant organs had more positive values on sunny days during the dry season than during the wet season. Both photosynthetic and post–photosynthetic fractionation influence variations in WSOM δ¹³C. These results have implications for research on plant physiology and plant water use.     

Assessment of the seismic effect of insulation on extra-large cryogenic liquid natural gas storage tanks

Insulation is typically used in extra-large double-walled cryogenic storage tanks that are used to store liquid natural gas (LNG). These vessels have been designed with the assumption that the insulation offers negligible structural resistance that might cause structural damage. Observation of the deformation of the insulation in such tanks leads to concern that the insulation may become sufficiently compacted to cause significant load transfer between the inner and outer tank. The inner tank, though protected from most external events by the outer tank, is only designed to contain the liquid gas. It is therefore much more sensitive to seismic effects. In this investigation, simplified and 3D finite element models are used to simulate the interaction effects of the fluid, inner tank, insulation and outer tank. This paper presents an initial analysis of the potential effects of LNG tank insulation under earthquake conditions and assesses the potential for structural damage by comparison of models that do or do not consider the insulation layer. The data reported and statistically sorted include the overturning moment, the base shear, the tank wall stress, and the wave height in the tank. The results show that the insulation layer has certain influence on seismic design of LNG tanks.     

A design method of a plant alarm system for first alarm alternative signals using a modularized CE model

Management of a plant alarm system has been identified as one of the key safety issues because of disasters caused by alarm floods. When a chemical plant is at abnormal state, an alarm system must provide useful information to operators as the third layer of an independent protection layer (IPL). Therefore, a method of designing a plant alarm system is important for plant safety. Because the plant is maintained in the plant lifecycle, the alarm system for the plant should be properly managed through the plant lifecycle. To manage changes, the design rationales of the alarm system should be explained explicitly. This paper investigates a logical and systematic alarm system design method that explicitly explains the design rationales from know-why information for proper management of changes through the plant lifecycle. In the method, the module structure proposed by Hamaguchi et al. (2011) to assign a fault origin to be distinguished is extended. Using modules to investigate the sets of alarm sensors and the alarm limits setting for first alarm alternative signals to distinguish the fault origin, an alarm system design method is proposed. Also, the completeness of fault propagation for a branch of the cause–effect model as the plant model is explained. Using the modules and the set of fault origins to be distinguished by the alarm system, we try to explicitly explain the design rationales of the alarm system.     

The photocatalytic degradation of carbamazepine and prediction by artificial neural networks

The three layer artificial neural network model was applied to predict the degradation efficiency for carbamazepine in photocatalytic oxidation under UV radiation. Titania–zirconia was employed as a catalyst for the photooxidation. The catalyst was prepared using titanium isopropoxide and zirconium oxychloride by sol–gel method and characterized by transmission electron microscopy and BET analysis. Different process parameters such as, initial concentration of carbamazepine, pH of the solution, catalyst concentration and time of UV irradiation were employed as the input to the artificial neural network model and the output of the network was degradation efficiency of carbamazepine. The multilayer feed-forward networks with the Levenberg–Marquardt (trainlm) backpropagation training algorithm was used for the network training. The smallest mean square error was obtained for three-layer network with ‘logsig’ transfer function and five neurons in the hidden layer gave optimal results. A comparison between the predicted values and selective experimental data of degradation efficiency showed a high correlation coefficient (R²) of 0.997.     

洞庭湖区地表温度反演及其时空变化特征

洞庭湖是我国第二大的淡水湖,对区域气候的调节起着极其关键的作用,然而受全球变暖及其他因素的影响,洞庭湖区范围内对气候变化的响应并不一致。为了更好地认识洞庭湖区的地表温度变化及其对全球变暖的响应情况,同时为准确的判断该区温度未来的变化趋势奠定基础,利用1995年、2004年和2013年12景冬季Landsat TM/ETM＋遥感影像的热红外波段数据反演了洞庭湖区地表温度,并对反演的地表温度值进行标准化处理,采用标准差分类法得到地表温度等级图。通过三时相温度等级图的面积统计与直观对比,分析了洞庭湖区在三峡蓄水前后的温度时空变化特征;并结合归一化植被指数（NDVI）、降雨资料、DEM、坡度等数据对洞庭湖区的温度变化影响因素进行了统计分析。结果表明,（1）洞庭湖区各温度等级面积成正态分布,主要以中温区、较高温区和较低温区为主。从空间分布上来看,低温区主要分布在水体,而高温区则没有明显的分布特征。（2）受雨雪天气影响,2004年的高温范围减少,减少情况为西洞庭湖区〉南洞庭湖区〉东洞庭湖区,面积变化比例分别是5.38%、2.12%、0.71%,表明冷气流对西洞庭湖区的温度变化影响最强,而东洞庭湖区最弱。（3）2013年高温范围增加,且变化强度呈现出西洞庭湖区〈南洞庭湖区〈东洞庭湖区的空间特征,面积变化比例分别是2.21%、2.38%、2.68%,表明在三峡水库蓄水之后,东洞庭湖区的地表温度受到较大影响。（4）植被的覆盖情况与温度相关性不明显,而坡度、海拔与温度呈正相关关系,这表明坡度可以有效的减少冷气流对温度的影响,地势较高地区与阳坡出现高温情况则表明地表温度受太阳辐射影响较大。     

Solar photocatalytic degradation of the herbicide isoproturon on a Bi–TiO2/zeolite photocatalyst

The photocatalytic degradation of the herbicide isoproturon under solar light was investigated in aqueous solution containing a Bi–TiO₂/zeolite photocatalyst. The catalysts were characterized using X-ray diffraction, UV-Vis diffuse reflectance spectroscopy, Fourier transform-infrared spectroscopy, scanning electron microscopy, and transmission electron microscopy. The effect of Bi–TiO₂ loading onto the zeolite support and influence of the parameters such as catalyst amount, pH, and initial concentration of isoproturon on the degradation rate were evaluated. The recycling ability of the catalyst was found to be sustainable for elongated periods. The high activity of the Bi–TiO₂/zeolite was attributed to its absorptivity of visible light and its high adsorption capacity for the pollutant molecules.     

Investigating the potential for different scooter and car exhaust emissions to cause cytotoxic and (pro-)inflammatory responses to a 3D in vitro model of the human epithelial airway

The aim of this study was to compare the cytotoxicity and the (pro-)inflammatory responses of two-stroke (direct injection and carburetor technology) and four-stroke scooter and diesel car exhaust emissions on lung cells in vitro. This was analyzed by exposing a 3D in vitro model of the epithelial airway (consisting of human bronchial epithelial cells (cell line 16HBE14o^?) combined with human whole blood monocyte-derived macrophages and dendritic cells) to physically characterized exhaust emissions. Biological endpoints of cytotoxicity (lactate dehydrogenase release), as well as pro-inflammatory cytokine (tumor necrosis factor (TNF)-α) and inflammatory chemokine (interleukin(IL)-8) stimulation were examined. Two-stroke direct injection scooter exhaust contained the highest particle number concentration and nitrogen oxides (NO _x ) concentrations and the emissions from the two-stroke carburetor scooter contained the highest hydrocarbon and lowest NO _x concentrations. The four-stroke scooter emitted the highest carbon monoxide concentration whereas the cars emitted the lowest. The combination of various technical optimizations for the two-stroke direct injection scooter (particle filter, oxidative catalyst, better oil and fuel) reduced the total emissions strongly and the TNF-α concentration significantly (p?相似文献   

Synthesis and antibacterial activity of a Fe3O4–AgCl nanocomposite against Escherichia coli

In this investigation, Fe₃O₄ magnetic nanoparticles (MNPs) were prepared by the alkalinization of an aqueous medium containing ferrous sulfate and ferric chloride. In the next step, a Fe₃O₄–AgCl magnetic nanocomposite was fabricated by the drop-by-drop addition of silver nitrate solution into a NaCl solution containing Fe₃O₄ MNPs. All prepared nanoparticles were characterized by transition electron microscopy (TEM), X-ray diffraction (XRD), and energy-dispersive X-ray spectroscopy (EDS). Both particle types varied in size from 2.5 to 20?nm, with an average size of 7.5?nm for Fe₃O₄ MNPs and 12.5?nm for Fe₃O₄–AgCl nanocomposites. The antibacterial effect of the Fe₃O₄ MNPs and fabricated Fe₃O₄–AgCl nanocomposites against Escherichia coli (ATCC 35218) were investigated by conventional serial agar dilution method using the Müller–Hinton Agar medium. The minimum inhibitory concentration was 4?mg?mL^?1 for Fe₃O₄ MNPs and 2?mg?mL^?1 for the Fe₃O₄–AgCl magnetic nanocomposites. Time-kill course assays showed that the Fe₃O₄–AgCl magnetic nanocomposites successfully killed all inoculated bacterial cells during an exposure time of 60?min. The antibacterial activity of recycled Fe₃O₄–AgCl magnetic nanocomposites over four 60?min cycles of antibacterial treatment was further tested against E. coli by the colony-forming unit (CFU) method. The antibacterial efficiency of the nanocomposites was constant over two cycles of antibacterial testing.