位置地图情境研究

随着位置服务、位置地图的兴起,情境作为一种研究客观世界与人类之间关系的抽象工具,已被逐渐地引入到移动地图服务中来.鉴于目前情境理论在地图的应用过程中存在基本概念不清、主要研究内容不明确的问题,重点剖析了位置地图情境的内涵,并从情境建模、情境匹配、情境推理和情境表达四方面,开展了位置地图情境的相关技术研究.     

中国两性生殖卤虫各品系碱性磷酸酶、酸性磷酸酶同工酶基因的表达特征

采用聚丙烯酰胺凝胶垂直板电泳法 ,对中国两性生殖卤虫 Artemia sinica的 1 4个品系的碱性磷酸酶、酸性磷酸酶同工酶基因的表达特征进行了分析 ,并与 Artemia urmiana的碱性磷酸酶、酸性磷酸酶同工酶基因的表达特征进行了比较研究。结果表明 :中国两性生殖卤虫各品系的 ALP、 ACP同工酶的酶谱相同 ,均为单体酶。 ALP、 ACP同工酶分别由 ALP - 1、 ACP- 1 ,ALP- 2、ACP- 2 ,ALP- 3、ACP- 3三个基因座位编码 ,ALP- 1、ACP- 1座位存在a、 b两个共显性等位基因 ,ALP- 2、ACP- 2存在 a、b、c三个等位基因 ,ALP- 3、ACP- 3座位存在 a、b两个等位基因。共发现 7种基因型 :1 .0 / cc/ bb,2 .0 / bb/ bb,3.0 / aa/ aa,4.0 /ab/ aa,5.0 / ac/ ab,6.0 / ac/ aa,7.ab/ ab/ aa。仅在 A.urmiana中发现 0 / cc/ bb、 0 / bb/ bb基因型 ,而 A.sinica的主要基因型为 :0 / ac/ aa、 0 / ab/ aa、 0 / aa/ aa。仅 GN品系的 ALP - 1、 ACP- 1有基因座位表达。     

热液区管状蠕虫几丁质结合蛋白的克隆表达及功能鉴定

本文应用PCR技术对四种管状蠕虫几丁质结合蛋白进行了扩增,进而连接到pIZ-FLAG构建了重组表达载体,并在昆虫细胞中实现了几丁质结合蛋白的异源重组表达.我们对几丁质结合蛋白的功能进行了初步研究,亲和活性实验结果表明这四种几丁质结合蛋白对α-chitin具有亲和活性,并且可以辅助几丁质酶,对降解α-chitin和β-chitin均有不同程度的促进作用,且作用效果明显.结果表明,这四种几丁质结合蛋白均为α型,且可以促进几丁质酶的活性,对降解几丁质多糖具有巨大的应用潜力和应用价值.     

3-D rheologic model of earthquake prepa-ration (III): Precursor field

Introduction Based on the elastic theory of hard inclusion model proposed by Dobrovolskii (1991), we developed a rheologic inclusion model to study the spatial-temporal variation of earthquake pre-cursor by using the bulk-strain field resulted from rheologic inclusion model (SONG et al, 2000). Based on the elastic inclusion theory, the analytical expressions for the viscoelastic displacement field and strain field of rheologic inclusion model are derived (SONG et al, 2003, 2004). Further-m…     

绿鳍马面鲀(Navodon septentrionalis)CYP19a基因克隆与表达特征分析

利用简并引物扩增及RACE全长克隆技术, 克隆得到绿鳍马面鲀(Navodon septentrionalis)CYP19a基因cDNA全长序列。通过多序列比对, 发现具有芳香化酶特定保守序列, 包括一个I-螺旋区, 一个Ozol肽区, 一个亚铁血红素结合区域以及一个芳香化酶特异性结合区域。通过RT-PCR技术检测了其在绿鳍马面鲀成鱼各组织表达的情况, 发现其CYP19a基因只在卵巢中有表达; 同时也分析了其在不同卵巢发育期的表达情况, 发现CYP19a在卵黄发生后期表达量达到最高值, 卵巢退化吸收期表达量达到最低值。     

Piecewise prediction model for watershed‐scale erosion and sediment yield of individual rainfall events on the Loess Plateau,China

Establishing a universal watershed‐scale erosion and sediment yield prediction model represents a frontier field in erosion and soil/water conservation. The research presented here was conducted on the Chabagou watershed, which is located in the first sub‐region of the hill‐gully area of the Loess Plateau, China. A back‐propagation artificial neural model for watershed‐scale erosion and sediment yield was established, with the accuracy of the model, then compared with that of multiple linear regression. The sensitivity degree of various factors to erosion and sediment yield was quantitatively analysed using the default factor test. On the basis of the sensitive factors and the fractal information dimension, the piecewise prediction model for erosion and sediment yield of individual rainfall events was established and further verified. The results revealed the back‐propagation artificial neural network model to perform better than the multiple linear regression model in terms of predicting the erosion modulus, with the former able to effectively characterize dynamic changes in sediment yield under comprehensive factor conditions. The sensitivity of runoff erosion power and runoff depth to the erosion and sediment yield associated with individual rainfall events was found to be related to the complexity of surface topography. The characteristics of such a hydrological response are thus closely related to topography. When the fractal information dimension is greater than the topographic threshold, the accuracy of prediction using runoff erosion power is higher than that of using runoff depth. In contrast, when the fractal information dimension is smaller than the topographic threshold, the accuracy of prediction using runoff depth is higher than that of using runoff erosion power. The developed piecewise prediction model for watershed‐scale erosion and sediment yield of individual rainfall events, which introduces runoff erosion power and runoff depth using the fractal information dimension as a boundary, can be considered feasible and reliable and has a high prediction accuracy. Copyright © 2013 John Wiley & Sons, Ltd.     

交通图表达模式和表示方法设计

结合河南省交通图的设计与制作,重点对交通图的表达模式和表示方法等相关技术问题进行研究。提出交通图新的表达模式和表示方法,设计了新的交通图符号,并叠加在地貌晕渲上,突出了交通要素和重要通道。在此基础上对交通图插图的样式以及图面的整体配置进行试验研究,为今后交通图的设计与制作提供借鉴和参考。     

AN ACCURATE MODEL FOR CALCULATING CORRECTION OF PATH FLEXURE OF SATELLITE SIGNALS

1　IntroductionTherefractionoflight electronicsignalpropa gatinginatmospherehasbeenstudiedbymanysci entistsandsomemodelofatmosphericrefractioncorreetionhaveheenestablished ,includingHopfieldSaastamoinen,DavisandMarinimodels[1 ] .Butthesemodelscanbeusedonlytocalculatethecorrec tionfortherefractionduetoatmosphericdensityvariation ,whilethecorrectionfortherefractionduetothesignalpathflexurecannotbecalculated .Hop fieldhasestimatedsignalpathflexureerrorbythemethodofraytracing[2 ] ,butastrictcorr…     

Flood forecasting with a watershed model: a new method of parameter updating

Abstract

Flood forecasting is of prime importance when it comes to reducing the possible number of lives lost to storm-induced floods. Because rainfall-runoff models are far from being perfect, hydrologists need to continuously update outputs from the rainfall-runoff model they use, in order to adapt to the actual emergency situation. This paper introduces a new updating procedure that can be combined with conceptual rainfall-runoff models for flood forecasting purposes. Conceptual models are highly nonlinear and cannot easily accommodate theoretically optimal methods such as Kalman filtering. Most methods developed so far mainly update the states of the system, i.e. the contents of the reservoirs involved in the rainfall-runoff model. The new parameter updating method proves to be superior to a standard error correction method on four watersheds whose floods can cause damage to the greater Paris area. Moreover, further developments of the approach are possible, especially along the idea of combining parameter updating with assimilation of additional data such as soil moisture data from field measurements and/or from remote sensing.