乌江渡水电站岩溶地区高压灌浆施工特殊情况的处理

乌江渡水电站扩机地下厂房防渗帷幕工程身处岩溶发育地区，工程地质条件复杂，地质构造以层间错动断层为主，并有部分陡倾角断层发育,岩层受构造挤压强烈，断层、节理、破碎带发育；水平岩溶、垂直岩溶发育。以此工程为例介绍了高压灌浆施工工艺，阐述了岩溶地区高压灌浆过程中出现的特殊问题并提出了处理措施。     

地震灾害预测和应急模拟系统的设计与应用——以永安市城市应急系统为例

城市防震减灾是地震潜在频发区提高自然灾害防治能力建设的重要方面。本文结合福建省永安市城市防震减灾信息管理系统的建设,探讨设计防震减灾数值模型,分析模型集成的关键技术,构建了地震风险评估、建筑物易损性评价、生命与财产损失估算、救援与救灾管理调度等模型和基于GIS开发的震害预测和应急模拟系统。该系统在福建省永安市的实际应用表明,通过对地震灾害预测结果的分析,可加强城市抗震中的薄弱环节,为灾区政府应急响应和制订对策提供决策支持辅助信息,从而显著提高城市防震减灾的综合能力。     

木荚红豆人工林C库及其分配研究

对木荚红豆人工林C贮量及其分配的研究表明,木荚红豆人工林C贮量为227.9t/hm2,其中生物量C库和死有机质C库分别为117.1t/hm2和110.8t/hm2,分别占C库总量的51.4%和48.6%;乔木层C库和土壤有机质C库分别占林分总C库的49.4%和47.1%;林下植被层、枯枝落叶层、粗木质残体C库总共仅占生态系统C库的3.5%,对生态系统C吸存的贡献较小.     

Semi‐analytical solution to one‐dimensional consolidation for unsaturated soils with semi‐permeable drainage boundary under time‐dependent loading

This paper presents semi‐analytical solutions to Fredlund and Hasan's one‐dimensional consolidation of unsaturated soils with semi‐permeable drainage boundary under time‐dependent loadings. Two variables are introduced to transform two coupled governing equations of pore‐water and pore‐air pressures into an equivalent set of partial differential equations, which are easily solved by the Laplace transform. The pore‐water pressure, pore‐air pressure and settlement are obtained in the Laplace domain. Crump's method is adopted to perform the inverse Laplace transform in order to obtain semi‐analytical solutions in time domain. It is shown that the present solutions are more general and have a good agreement with the existing solutions from literatures. Furthermore, the current solutions can also be degenerated into conventional solutions to one‐dimensional consolidation of unsaturated soils with homogeneous boundaries. Finally, several numerical examples are provided to illustrate consolidation behavior of unsaturated soils under four types of time‐dependent loadings, including instantaneous loading, ramp loading, exponential loading and sinusoidal loading. Parametric studies are illustrated by variations of pore‐air pressure, pore‐water pressure and settlement at different values of the ratio of air–water permeability coefficient, depth and loading parameters. Copyright © 2017 John Wiley & Sons, Ltd.     

近20年京津唐主体城区地表热场空间特征变化分析

基于Landsat遥感影像获取京津唐主体城区1995~2015年地表温度(Land Surface Temperature, LST)和不透水地表盖度(Impervious Surface Percentage, ISP)数据。采用热点聚集和阈值分割法,依据地表的温度和不透水盖度属性将京津唐主体城区划分成9种地表热场类型,分析并探讨地表热场的发展规律、年际变化状况和区域贡献作用。研究发现,京津唐主体城区地表温度与不透水地表盖度间存在显著的正向相关关系,两者分别呈现“阶梯降”和“两端高、中间低”的变化特征。京津唐主体城区地表热场的发展主轴保持在西北-东南方向,且随时间推移沿主轴呈聚集态势。 京津唐主体城区地表热场的影响范围在空间上持续扩张,对于不同的主体城区,其在整体区域的热场贡献中有差异化表现。     

金沙江干热河谷不同植被坡面土壤水分时空分布特征

于2016年7~12月和2017年4月的旱、雨季期间，以金沙江干热河谷苴那小流域内的银合欢（Leucaena Benth）林地、车桑子（Dodonaea angustifolia）灌丛地和扭黄茅（Heteropogon cantortus）草地为研究对象，通过网格法和土钻法采集并测定了（0~100 cm）土层的土壤含水量，应用经典统计法和地统计学方法分析该区域不同林草植被下坡面土壤水分的动态变化特征。结果表明：（1）研究区土壤含水量总体较低，雨季显著大于旱季，旱、雨季均表现为灌丛地>草地>林地，呈中度至强度变异（0.07~0.28之间）。（2）不同林草植被下旱、雨季土壤水分具有相似的空间自相关性，自相关系数均由正向负转变，但由正向负转变的滞后距离有所不同，且雨季大于旱季，呈中等或强等空间自相关性。（3）不同林草植被下的土壤水分空间结构不同，林地、灌丛地和草地旱雨季最佳拟合模型均为球状模型；相同林草植被下各土层旱、雨季土壤水分的空间分布特征相似，但旱季的分布格局差异更显著，不同林草植被下深层土壤水分分布比表层土壤水分的分布更为复杂，土壤水分呈明显的斑块或条带状分布，含水量高值区和低值区位置不固定。总之不同林草植被类型会改变局部地段土壤水分空间分布，降雨会加强这种差异的趋势，但土壤水分仍具一定空间连续性。     

Simulation of urban expansion via integrating artificial neural network with Markov chain – cellular automata

Accurate simulations and predictions of urban expansion are critical to manage urbanization and explicitly address the spatiotemporal trends and distributions of urban expansion. Cellular Automata integrated Markov Chain (CA-MC) is one of the most frequently used models for this purpose. However, the urban suitability index (USI) map produced from the conventional CA-MC is either affected by human bias or cannot accurately reflect the possible nonlinear relations between driving factors and urban expansion. To overcome these limitations, a machine learning model (Artificial Neural Network, ANN) was integrated with CA-MC instead of the commonly used Analytical Hierarchy Process (AHP) and Logistic Regression (LR) CA-MC models. The ANN was optimized to create the USI map and then integrated with CA-MC to spatially allocate urban expansion cells. The validated results of kappa and fuzzy kappa simulation indicate that ANN-CA-MC outperformed other variously coupled CA-MC modelling approaches. Based on the ANN-CA-MC model, the urban area in South Auckland is predicted to expand to 1340.55 ha in 2026 at the expense of non-urban areas, mostly grassland and open-bare land. Most of the future expansion will take place within the planned new urban growth zone.