ANALYSIS ON AGRICULTRUAL INFORMATION DEMAND——Case of Jilin Province

With the rapid development of agricultural informalization in the world, the demand of agricultural information has been a focus in the international agriculture and information fields. Based on the investigation, this paper presented the four characteristics of the demand of agricultural information in China, includingregionality, seasonality, great potential demand and variation in kind and level. The factors infuencing the demand of agricultural information were analyzed by the Optimized Less Square （OLS） method. The result shows that, of all factors influcing agricultural information demand, the most important one is economy, the second is facility of information pass, and knowledge and education of user, credit of agricultural information service system and production situation follow. Taking Jilin Province as an example, this article also elaborated the agricultural information demand status, and deduced the regression model of agricultural information demand and verified it by the survey in rural Jilin.     

基于空间计量经济学的河南高速公路网收费优化分析

现行高速公路网收费建模和优化研究中存在的问题主要为对高速公路网络中的各条线路之间的反馈关系研究不够。对此,把空间计量经济学的思想方法与Hopfield神经网络方法结合起来建立河南高速公路网收费模型,并在此基础上推导出收费最优化条件下轿车流量、客车流量与各线路的空间连接强度之间的平衡关系,从而提出河南高速公路网的优化方案。     

From geometry to dynamics of microstructure: using boundary lengths to quantify boundary misorientations and anisotropy

The microstructure of a quartzite experimentally deformed and partially recrystallised at 900 °C, 1.2 GPa confining pressure and strain rate 10⁻⁶/s was investigated using orientation contrast and electron backscatter diffraction (EBSD). Boundaries between misoriented domains (grains or subgrains) were determined by image analysis of orientation contrast images. In each domain, EBSD measurements gave the complete quartz lattice orientation and enabled calculation of misorientation angles across every domain boundary. Results are analysed in terms of the boundary density, which for any range of misorientations is the boundary length for that range divided by image area. This allows a more direct comparison of misorientation statistics between different parts of a sample than does a treatment in terms of boundary number.The strain in the quartzite sample is heterogeneous. A 100×150 μm low-strain partially recrystallised subarea C was compared with a high-strain completely recrystallised subarea E. The density of high-angle (>10°) boundaries in E is roughly double that in C, reflecting the greater degree of recrystallisation. Low-angle boundaries in C and E are produced by subgrain rotation. In the low-angle range 0–10° boundary densities in both C and E show an exponential decrease with increasing misorientation. The densities scale with exp(−θ/λ) where λ is approximately 2° in C and 1° in E; in other words, E has a comparative dearth of boundaries in the 8–10° range. We explain this dearth in terms of mobile high-angle boundaries sweeping through and consuming low-angle boundaries as the latter increase misorientation through time. In E, the density of high-angle boundaries is larger than in C, so this sweeping would have been more efficient and could explain the relative paucity of 8–10° boundaries.The boundary density can be generalised to a directional property that gives the degree of anisotropy of the boundary network and its preferred orientation. Despite the imposed strain, the analysed samples show that boundaries are not, on average, strongly aligned. This is a function of the strong sinuosity of high-angle boundaries, caused by grain boundary migration. Low-angle boundaries might be expected, on average, to be aligned in relation to imposed strain but this is not found.Boundary densities and their generalisation in terms of directional properties provide objective measures of microstructure. In this study the patterns they show are interpreted in terms of combined subgrain rotation and migration recrystallisation, but it may be that other microstructural processes give distinctive patterns when analysed in this fashion.     

基于FME的国家基本比例尺图幅坐标系转换研究

我国测绘成果长期存在坐标系统不统一的现状,使得不同坐标系测绘成果的使用存在一定的局限性,无法充分地利用测绘成果。本文以1∶10 000比例尺成果数据从西安80系到国家2000系转换为例,详细地介绍了基于FME软件零编程实现坐标系转换的方法。     

三峡地域文化探讨

文化是一种变动不居的,人与环境不断发生交互关系的有生命的机体。地理环境的差异性,不仅造成各地域、各民族物质生产方式的不同类型,也深刻影响到文化的地域特征。三峡区域在长期历史发展过程中,其独特的自然环境培育和塑造了具有自己特色的地域文化,而这些特征的形成,均有一定的地理背景。从孕育、滋养文化的自然地理和人文地理环境入手,探讨三峡地域文化的特征、内容及其开发方略,是具有历史和现实的意义的     

拟合推估新用——新逼近模式

作为拟合推估的新用之一,提出一种带有随机量的新逼近模式,将拟合推估的通行算法,去短取长,藉以推得良好的插值。     

Effects of acid rain on physical,mechanical and chemical properties of GGBS–MgO-solidified/stabilized Pb-contaminated clayey soil

Acta Geotechnica - Reactive magnesia (MgO)-activated ground granulated blast furnace slag (GGBS) is a newly developed binder for soil stabilization/solidification. It can be used as an alternative...     

Spatial prediction of soil water content in karst area using prime terrain variables as auxiliary cokriging variable

In karst areas, accurately measuring and managing the spatial variability of soil water content (SWC) is very critical in settling numerous issues such as karst rocky desertification, ecosystem reconstruction, etc. In these areas, SWC exhibits strong spatial dependence, and it is a time and labor consuming procedure to measure its spatial variability. Therefore, estimation of this kind of soil property at an acceptable level of accuracy is of great significance. This study was conducted to evaluate and compare the spatial estimation of SWC by using ordinary kriging (OK) and cokriging (COK) methods with prime terrain variables, tending to predict SWC using limited available sample data for a 2,363.7 km² study area in Mashan County, Guangxi Zhuang Autonomous Region, Southwest China. The measured SWC ranged from 3.36 to 26.69 %, with a mean of 17.34 %. The correlation analysis between SWC and prime terrain variables indicated that SWC showed significantly positive correlation with elevation (r is 0.46, P < 0.01), and significantly negative correlation with slope (r is ?0.30, P < 0.01); however, SWC was not significantly correlated with aspect in the study area. Therefore, elevation and slope were used as auxiliary data together for SWC prediction using COK method, and mean error (ME) and root mean square error were adopted to validate the prediction of SWC by these methods. Results indicated that COK with prime terrain variables data was superior to OK with relative improvement of 28.52 % in the case of limited available data, and also revealed that such elevation and slope data have the potential to improve the precision and reliability of SWC prediction as useful auxiliary variables.