Kinetic model for the smectite to illite transformation in active geothermal systems

The smectite to illite transformation in active geothermal systems of New Zealand can be simulated by a first-order reaction kinetic model, which provides direct estimates about the minumum ages of active geothermal systems themselves. The derived kinetic values show that the smectite to illite transformation is sensitive to both temperature and time.     

用^1H—NMR测定纤维素的摩尔取代度

用＾１Ｈ－ＮＭＲ测定羟丙基纤维素的摩尔取代度,根据纤维素在ＤＣｌ中水解后的＾１Ｈ－ＮＭＲ谱峰面积来计算ＭＳ值。同时还应用铬酸氧化蒸馏法测定了羟丙基纤维素的ＭＳ值,以及利用ＭＳ与羟丙基含量的关系得到ＭＳ值,可以发现ＮＭＲ的方法是可行的。     

应变速率对8090Al-Li合金拉伸性能的影响

用动态拉伸的方法研究了应变速率对 80 90 Al— L i合金拉伸性能的影响 ,应变速率的范围为 10 - 3～ 10 3s- 1。结果表明 ,合金的强度和塑性随应变率的增加而增加。试样的 SEM和 TEM分析发现 :准静态下的断裂为沿晶断裂 ;随着应变率的增加 ,断裂从穿晶准解理断裂过渡到由显微空穴聚集而成的韧窝断裂。高应变率下80 90 Al- L i合金强度和塑性的提高与其变形机制和晶界无沉淀区 (PFZ)的变化有关     

Fe3Al合金的高温变形行为

用载荷松弛法对Ｆｅ－２８Ａｌ－２Ｔｉ合金在较高温度下的变形行为进行了研究．测定了Ｆｅ－２８Ａｌ－２Ｔｉ合金在高温变形时的载荷松弛曲线、应力减小因子Ｙ及激活能值,并对试样进行了显微结构观察．结果表明,Ｆｅ－２８Ａｌ－２Ｔｉ合金的高温变形是一个亚晶界吸收位错,而且不断向大角晶界转变的过程．     

链条锅炉模糊控制研究

针对链条锅炉的运行特点,提出一套基于模糊控制理论的链条锅炉控制方案。链条锅炉滞后时间长、惯性大,采用传统控制方法控制效果不理想,但采用模糊控制方法可以取得良好的控制效果。本控制系统由负荷控制和燃烧控制子系统构成。控制系统通过调节供入的燃料量和合理组织炉内燃烧,提高了锅炉的运行效率。针对不同的调节对象,分别设计了不同的模糊控制器,改善了控制系统的整体控制效果。该系统已经成功地应用于北京市德宝锅炉房。     

地下水咸淡水混合带动态特性试验研究

应用电导率法,通过大型移流弥散砂槽模型试验,成功地测到了混合带,并对混合带及其动态特性进行了观测、分析和研究,在总体水头的水平梯度方向与浓度的水平梯度方向（弥散的反方向）相反的条件下,得到了咸水入侵进慢退快、混合带发展演化过程中有回咸现象以及介质分层、高浓度等试验的部分规律。部分成果对滨海地区水资源的规划、管理和海（咸）水入侵的预防、治理以及移流弥散问题的物理模型、数学模型的研究有参考意义和实际应用价值。     

美东地区罗德河流域地下水中铝形态分布的化学平衡模式计算

美东地区的罗德河流域遭受着严重的酸沉降侵蚀．在酸性条件下,铝从土壤中大量溶解并迁移到水环境中．地表水中升高的铝浓度对鱼类产生毒害,监测地表水和土壤水中的铝形态及浓度变化已成为问题的关键．本文报导了用化学平衡模式计算法分析美东地区罗德河流域地下水中的铝形态分布,获得了有价值的结论     

Symmetry perception in an insect

Symmetrical visual patterns have a salient status in human perception, as evinced by their prevalent occurrence in art, and also in animal perception, where they may be an indicator of phenotypic and genotypic quality. Symmetry perception has been demonstrated in humans, birds, dolphins and apes. Here we show that bees trained to discriminate bilaterally symmetrical from non-symmetrical patterns learn the task and transfer it appropriately to novel stimuli, thus demonstrating a capacity to detect and generalize symmetry or asymmetry. We conclude that bees, and possibly flower-visiting insects in general, can acquire a generalized preference towards symmetrical or, alternatively, asymmetrical patterns depending on experience, and that symmetry detection is preformed or can be learned as perceptual category by insects, because it can be extracted as an independent visual pattern feature. Bees show a predisposition for learning and generalized symmetry because, if trained to it, they choose it more frequently, come closer to and hover longer in front of the novel symmetrical stimuli than the bees trained for asymmetry do for the novel asymmetrical stimuli. Thus, even organisms with comparatively small nervous systems can generalize about symmetry, and favour symmetrical over asymmetrical patterns.     

A massive phytoplankton bloom induced by an ecosystem-scale iron fertilization experiment in the equatorial Pacific Ocean

The seeding of an expanse of surface waters in the equatorial Pacific Ocean with low concentrations of dissolved iron triggered a massive phytoplankton bloom which consumed large quantities of carbon dioxide and nitrate that these microscopic plants cannot fully utilize under natural conditions. These and other observations provide unequivocal support for the hypothesis that phytoplankton growth in this oceanic region is limited by iron bioavailability.     

Insect motion detectors matched to visual ecology

To detect motion, primates, birds and insects all use local detectors to correlate signals sampled at one location in the image with those sampled after a delay at adjacent locations. These detectors can adapt to high image velocities by shortening the delay. To investigate whether they use long delays for detecting low velocities, we compared motion-sensitive neurons in ten species of fast-flying insects, some of which encounter low velocities while hovering. Neurons of bee-flies and hawkmoths, which hover, are tuned to lower temporal frequencies than those of butterflies and bumblebees, which do not. Tuning to low frequencies indicates longer delays and extends sensitivity to lower velocities. Hoverflies retain fast temporal tuning but use their high spatial acuity for sensing low-velocity motion. Thus an unexpectedly wide range of spatio-temporal tuning matches motion detection to visual ecology.