四川林农复合经营持续发展对策探讨

分析了四川林农复合经营的主要类型、效益与障碍，并探讨了其持续发展的原则、有利条件与对策．     

锦屏大理岩动态劈裂拉伸破坏及能量演化特征分析

劈裂拉伸破坏是隧洞围岩失稳破坏的主要形式之一。现阶段,在动态劈裂条件下岩石裂纹扩展及对应阶段的能量演化机制鲜有涉及。基于此,采用分离式霍普金森压杆对锦屏大理岩试样进行了不同弹速下的劈裂试验,并借助ANSYS/LS-DYNA有限元软件,模拟试样动态劈裂破坏过程。从试验测试和数值计算角度,重点分析大理岩劈裂过程中的裂纹扩展机制以及能量演化特征。结果表明：在应变率为5～35 s−1时,大理岩的动态拉伸强度与应变率呈线性正相关,同其他地区大理岩相比较,锦屏大理岩的应变率敏感性相对较低;随着弹速的增加,系统内能和动能均增大,在试样破坏的瞬间系统内能降至最低;采用标定的Cowper-Symonds本构模型参数进行数值模拟,所得的试样最终破坏形态与试验观察到的现象基本一致。研究结果可为具体工程应用提供指导和参考。     

巴丹吉林沙漠北缘拐子湖流沙下垫面近地层湍流强度和陆面过程特征

利用巴丹吉林沙漠北缘拐子湖流沙下垫面2013年7、10月和2014年1、4月的湍流通量资料,计算并分析了研究区近地层湍流强度,同时针对风速分量、温度、水汽和CO₂归一化标准差随稳定度的变化关系和总体输送系数等陆面过程特征进行分析。结果表明：（1）风速各分量的湍流强度均随风速的增加逐渐减小,风速处于2 m·s^-1以下时湍流发展最为旺盛。湍流强度主要由水平方向风速分量决定,垂直方向风速的作用较小,且近中性和不稳定层结利于湍流的发展。与其他地区相比,平坦且没有建筑物的沙漠地区,机械湍流较弱,湍流强度相应较小。（2）风速各分量的归一化标准差与稳定度（z/L）均满足1/3次方函数规律,其中垂直方向风速分量的拟合曲线方程较好。（3）动量输送系数C_d具有明显的夏季高、冬季低的变化状态且各月的日变化形态均呈夜间低、日间高的循环形态。热量输送系数C_h的不同月份日变化间并没有明显的排列次序,且日出日落前后具有明显的波动。不稳定层结时,C_d和C_h均随风速的增加逐渐减小;稳定层结时,C_d和C_h均随着风速的增加逐渐上升。     

许昌新区建设的理念及可持续发展规划

随着城市化的进程,城市可持续发展已经成为人们关注的热点问题。以可持续发展为系统目标,统筹考虑区域经济、社会、环境、资源等要素,通过构建城市新区经济—社会—生态系统,规划许昌新区。遵循以人为本、生态和谐、城乡统筹和可持续发展的理念,提出了公平和谐、产—城融合、田园生态、城乡统筹、林水一体、延续文脉的许昌新区可持续发展规划,推动许昌新区建设。     

甘肃省城市化与土地集约利用耦合协调发展

土地集约利用能够促进城市化健康发展,而城市化水平又影响着土地集约利用水平,两者的耦合协调程度是影响城市发展的关键因素。本文对甘肃省12个地级市进行实证研究,构建城市化与土地集约利用的耦合协调发展度模型,定量评价两者之间的耦合协调发展状况,并且利用地理空间分析工具进行空间聚类分析。结果表明:多数市已经从拮抗期过渡到磨合期,但是还没有进入协调期,说明甘肃省城市化与土地集约利用之间还未完全达到完全协调发展的程度;甘肃省城市化与土地集约利用的耦合协调发展度普遍较低,从2003年开始呈现出逐年扩张的趋势。     

Traffic accessibility and the coupling degree of ecosystem services supply and demand in the middle reaches of the Yangtze River urban agglomeration,China

Journal of Geographical Sciences - The spatial relationships between traffic accessibility and supply and demand (S&D) of ecosystem services (ESs) are essential for the formulation of...     

The Data Depth-weight-kernel Estimation of the Model Error of Satellite Orbit Determination

It is an objective fact that there exists error in the satellite dynamic model and it will be transferred to satellite orbit determination algorithm, forming a part of the connotative model error. Mixed with the systematic error and random error of the measurements, they form the unitive model error and badly restrict the precision of the orbit determination. We deduce in detail the equations of orbit improvement for a system with dynamic model error, construct the parametric model for the explicit part of the model and nonparametric model for the error that can not be explicitly described. We also construct the partially linear orbit determination model, estimate and fit the model error using a two-stage estimation and a kernel function estimation, and finally make the corresponding compensation in the orbit determination. Beginning from the data depth theory, a data depth weight kernel estimator for model error is proposed for the sake of promoting the steadiness of model error estimation. Simulation experiments of SBSS are performed. The results show clearly that the model error is one of the most important effects that will influence the precision of the orbit determination. The kernel function method can effectively estimate the model error, with the window width as a major restrict parameter. A data depth-weight-kernel estimation, however, can improve largely the robustness of the kernel function and therefore improve the precision of orbit determination.     

西藏朋曲流域不同地貌部位流动沙丘粒度特征

沙丘粒度特征不仅能反映沙丘沙物质的来源与动力,也可以体现地形对风沙流运移的改变。对西藏朋曲流域不同地貌部位流动沙丘表层沉积物的粒度特征进行分析。结果表明：（1）朋曲流域流动沙丘表层沉积物粒度组分以中沙（46.51%）和细沙（40.52%）为主,粗沙（5.87%）与极细沙（5.87%）次之,黏土（0.37%）与粉沙（0.85%）含量最低。流动沙丘表层沉积物平均粒径1.41—2.32 Φ,分选系数0.45—0.79 Φ,偏度0.01—0.24,峰度0.98—1.80。（2）从河漫滩到河流阶地到山坡,流动沙丘粒度逐渐变小,频率分布曲线逐渐变高变窄,粒径越来越集中,沿主导风向自西南向东北概率累积曲线斜率逐渐增大,分选性逐渐变好。（3）河漫滩至河流高级阶地流动沙丘表层沉积物随海拔升高粒径变小,坡麓至坡顶随海拔升高粒径变大,分选却变好,表明山坡上沙丘与阶地上沙丘的沙物质来自于不同河段的河床或河漫滩。     

Validation of the effects of temperature simulated by multi-model ensemble and prediction of mean temperature changes for the next three decades in China

Using series of daily average temperature observations over the period of 1961–1999 of 701 meteorological stations in China, and simulated results of 20 global climate models (such as BCCR_BCM2.0, CGCM3T47) during the same period as the observation, we validate and analyze the simulated results of the models by using three factor statistical method, achieve the results of multi- model ensemble, test and verify the results of multi-model ensemble by using the observation data during the period of 1991–1999. Finally, we analyze changes of the annual mean temperature result of multi-mode ensemble prediction for the period of 2011–2040 under the emission scenarios A2, A1B and B1. Analyzed results show that: (1) Global climate models can reproduce Chinese regional spatial distribution of annual mean temperature, especially in low latitudes and eastern China. (2) With the factor of the trend of annual mean temperature changes in reference period, there is an obvious bias between the model and the observation. (3) Testing the result of multi-model ensemble during the period of 1991–1999, we can simulate the trend of temperature increase. Compared to observation, the result of different weighing multi-model ensemble prediction is better than the same weighing ensemble. (4) For the period of 2011–2040, the growth of the annual mean temperature in China, which results from multi-mode ensemble prediction, is above 1 °C. In the spatial distribution of annual mean temperature, under the emission scenarios of A2, A1B and B1, the trend of growth in South China region is the smallest, the increment is less than or equals to 0.8 °C; the trends in the northwestern region and south of the Qinghai-Tibet Plateau are the largest, the increment is more than 1 °C.