Analysis of city centrality based on entropy weight TOPSIS and population mobility: A case study of cities in the Yangtze River Economic Belt

Based on statistical data and population flow data for 2016,and using entropy weight TOPSIS and the obstacle degree model,the centrality of cities in the Yangtze River Economic Belt(YREB)together with the factors influencing centrality were measured.In addition,data for the population flow were used to analyze the relationships between cities and to verify centrality.The results showed that:(1)The pattern of centrality conforms closely to the pole-axis theory and the central geography theory.Two axes,corresponding to the Yangtze River and the Shanghai-Kunming railway line,interconnect cities of different classes.On the whole,the downstream cities have higher centrality,well-defined gradients and better development of city infrastructure compared with cities in the middle and upper reaches.(2)The economic scale and size of the population play a fundamental role in the centrality of cities,and other factors reflect differences due to different city classes.For most of the coastal cities or the capital cities in the central and western regions,factors that require long-term development such as industrial facilities,consumption,research and education provide the main competitive advantages.For cities that are lagging behind in development,transportation facilities,construction of infrastructure and fixed asset investment have become the main methods to achieve development and enhance competitiveness.(3)The mobility of city populations has a significant correlation with the centrality score,the correlation coefficients for the relationships between population mobility and centrality are all greater than 0.86(P<0.01).The population flow is mainly between high-class cities,or high-class and low-class cities,reflecting the high centrality and huge radiating effects of high-class cities.Furthermore,the cities in the YREB are closely linked to Guangdong and Beijing,reflecting the dominant economic status of Guangdong with its geographical proximity to the YREB and Beijing's enormous influence as the national political and cultural center,respectively.     

Prediction of railway ground vibrations: Accuracy of a coupled lumped mass model for representing the track/soil interaction

Recent advances in railway-induced ground vibrations showed that the track/soil interaction plays an important role in the low frequency range. This paper contributes to the numerical analysis of train/track/foundation dynamics by presenting the accuracy of a coupled lumped mass (CLM) model devoted to the railway foundations and to the track/soil coupling. Following a summary of the background and the advantages of the CLM model, the coupling strategy is quantified through two application cases. Firstly, the dynamic track deflection is calculated for different railway lines considering various degrees of complexities of foundations. Then, the foundation responses are compared depending on whether detailed coupling is introduced or not. The benefit of the proposed model is emphasized by presenting free-field ground vibration responses generated by a tram and a high-speed train, obtained by a revisited two-step prediction model developed by the authors.     

CASS在平度市鑫汇金矿勘测中的应用

CASS在测量中得到广泛应用,特别是CASS配合Autolisp语言,还可以编写一些常用小程序,使测量计算和作图过程得到大量简化。地质坑道测量在矿山测绘中占有重要地位,可以将CASS与全站仪配合,在测量坑道过程中,进行坑道平面图绘制,指导井下开矿,提高工作效率。还可以利用CASS计算坑道挖掘土方量,这样便于与施工方进行工程量结算及处理井下越界开采纠纷问题。     

城市化和退耕还林草对中国耕地生产力的影响

20 世纪90 年代以来的快速城市化进程和1999 年开始启动的退耕还林草生态工程对耕地的分布与生产能力产生了重要影响。本研究应用由TM 遥感影像获取的1980s-2000 年与2000-2005 年两个时间段耕地变化数据,结合以多时相遥感数据为主要数据源的耕地生产力光能利用率遥感模型估算两个研究时段耕地生产力变化特征,比较城市化与退耕还林草政策主导下两个时期耕地转移对各区域耕地生产力的影响。研究结果表明:两个研究时段因城市占用损失的耕地生产力占土地利用变化(LUCC) 导致的耕地生产力减少总量比例均在60%以上。在20 世纪90 年代,全国新增耕地生产力总量比被占用耕地生产力高87%,耕地转移使中国耕地生产力增加。2000-2005 年间,退耕还林草政策的启动和快速城市化进程对耕地的持续占用导致耕地生产力占补正平衡指数由前一时段的正平衡变为负平衡,转出耕地生产力总量比新增耕地生产力高31%,耕地转为林草地和建设占用损失的耕地生产力分别较前一时段提高57%和85%。城市化与退耕还林草政策等驱动因素作用下耕地开垦区与占用区的空间分布差异使得耕地生产力占补平衡状态和趋势呈现明显的区域分异。     

拉果错盐湖卤水蒸发过程中Li+富集行为的分子动力学模拟(英文)

采用分子动力学模拟,研究了西藏拉果错盐湖卤水中阴、阳离子以及水分子间的相互作用行为。以盐湖卤水等温蒸发过程中粒子浓度变化的四个阶段为研究对象,分别计算了不同体系的扩散系数、配位数、均方位移和径向分布函数。计算结果表明,液相浓度越低时,H₂O分子对各离子之间的相互作用有抑制作用,液相中离子浓度越高时,SO₄^2-易与CO₃^2-竞争Li⁺形成离子对,从而影响盐湖卤水中Li⁺的富集。本文研究结果对盐湖卤水中Li⁺的迁移行为作出了机理解释,为盐湖卤水提锂的发展奠定了理论基础。     

驱动重联过程中等离子体团的聚合

本文对驱动重联过程作了二维可压缩磁流体动力学模拟．对于长的计算域（１：４）,在持续入流的作用下形成了双重磁岛结构,这些磁岛在向外运动的过程中不断靠近,逐渐聚合成为一个大的等离子体团,并继续向外运动．这说明在地球磁层顶和磁尾所观测到的大尺度磁结构,很可能是在驱动重联过程中,由较小的等离子体团聚合后形成的．并初步揭示了在空间等离子体中,磁岛的聚合过程难以直接观测的动力学原因．     

用多变量灰色预测模型模拟预测参考作物蒸散量的研究

当观测资料的数据量少而又存在多个相互影响或关联的变量时,常用的灰色预测模型GM（1,1）不能全面考虑多个变量。为此,采用自适应MGM（1,n）模型—多变量灰色预测模型,较好地解决了这一问题。针对一些地区气象数据较少甚至缺失的情况,以内蒙古正蓝旗的气象资料用Penman-Monteith计算的参考作物蒸散量（ET0）为研究对象,运用灰色系统理论建立MGM（1,3）模型,模拟预测参考作物蒸散量变化规律,并与GM（1,1）模型和BP神经网络模型比较,结果表明MGM（1,3）模型有较好的预测效果。     

利用遥感技术建立墨西哥热带地上生物量模型(英文)

Spatially-explicit estimation of aboveground biomass(AGB) plays an important role to generate action policies focused in climate change mitigation,since carbon(C) retained in the biomass is vital for regulating Earth’s temperature.This work estimates AGB using both chlorophyll(red,near infrared) and moisture(middle infrared) based normalized vegetation indices constructed with MCD43A4 MODerate-resolution Imaging Spectroradiometer(MODIS) and MOD44B vegetation continuous fields(VCF) data.The study area is located in San Luis Potosí,Mexico,a region that comprises a part of the upper limit of the intertropical zone.AGB estimations were made using both individual tree data from the National Forest Inventory of Mexico and allometric equations reported in scientific literature.Linear and nonlinear(expo-nential) models were fitted to find their predictive potential when using satellite spectral data as explanatory variables.Highly-significant correlations(p = 0.01) were found between all the explaining variables tested.NDVI62,linked to chlorophyll content and moisture stress,showed the highest correlation.The best model(nonlinear) showed an index of fit(Pseudo-r2) equal to 0.77 and a root mean square error equal to 26.00 Mg/ha using NDVI62 and VCF as explanatory variables.Validation correlation coefficients were similar for both models:lin-ear(r = 0.87**) and nonlinear(r = 0.86**).     

Effect of non-linear soil deformation on the interaction among energy piles

This study investigates the effect of non-linear soil deformation on the displacement interaction among energy piles. The work is based on interaction factor analyses of full-scale pile group tests, whose results are compared with experimental evidence. The results presented highlight the tendency of interaction factor analyses that ignore non-linear soil deformation to overestimate the interaction and the displacement of energy pile groups. This outcome, in accordance with previous studies for conventional pile groups subjected to mechanical loads, may be considered in the analysis and design of energy pile groups subjected to thermal (and mechanical) loads through the interaction factor method.     

土壤水盐运移模型研究进展及展望

回顾了国内外土壤水盐运移模型的发展历程,根据土壤水盐运移模型构成的原理和发展趋势,将土壤水盐运移模型分为水盐平衡模型、物理模型和系统模型。借助国内外文献对已有模型的原理和应用进行了介绍,并对存在的问题进行了分析;展望了新形势下土壤水盐运移模型的未来发展趋势和研究重点,旨在为今后土壤水盐运移模型研究提供新的思路。