基于GIS的城市地下空间资源综合质量评估研究

城市发展空间由地表向地下延伸,是目前城市发展的必然趋势。本文以北京房山区规划新城为例,在房山新城规划区区域地质、岩土性状、地质灾害等研究成果基础上,分析影响地下空间开发利用的各种影响因素,利用GIS技术,采用定量评价、定性评价相结合评估方法,构建评价系统,确定评价指标体系,建立评估模型,进行房山新城地下空间资源综合质量分区评价,最终达到房山新城土地资源利用最大化。     

波浪作用下黄河口粉土液化与“铁板砂”形成机制的模拟试验研究

通过室内水槽试验,观测波浪作用下土体产生的振荡现象,分析土体内孔隙水压力的变化及波浪作用后土体强度变化特征,研究了波浪荷载作用下黄河口粉土粒径粗化和“铁板砂”的形成过程。试验及讨论结果表明：在波浪作用下上层粉土体大部分时间处于液化状态;由液化土形成的振荡土层与下部土层之间形成“W”型的滑动面,振荡土层的厚度随着波浪作用时间的增加而变小;细粒物质从振荡土层中的骨架中脱离进入水体中,并在土体表层形成一层以黏粒为主的絮凝状沉积物,其厚度随波浪作用时间的增加而增加,在土体停止振荡前达到最大值;土体液化是“铁板砂”形成的必要条件,而波浪引起的液化土体振荡则使“铁板砂”的形成成为可能。     

三元复合驱采出污水回注渗透率的影响因素分析

基于大庆油田三元复合驱采出污水回注对地层存在的损害现象,研究了污水回注渗透率的影响因素。采用室内水驱实验方法,对三元复合驱采出污水中悬浮物、油、碱、聚合物等因素进行了分析,阐述了各种成分对渗透率的影响机理。结果表明,悬浮物颗粒会堵塞孔隙喉道,油产生的“贾敏效应”将增大油水流动阻力,碱与岩石及黏土矿物问的物理化学作用会使地层结垢,聚合物在岩芯中的吸附和滞留共同造成地层渗透率的下降。因此,建议将三元复合驱采出污水中悬浮物、油、碱、聚合物等处理合格后再进行回注,以减轻对地层的损害。     

The Solid-liquid Transformation of Low-grade Solid Potash Deposit in Dalangtan Basin and the Simplification of the Liquid Phase System

正We studied the solid-liquid transformation of low-grade solid potash deposit in Dalangtan Basin and simplified the liquid phase system.We did experiments to optimize conditions of the solid-liquid transformation.The Suitable     

深基坑土钉支护现场测试分析研究

土钉支护技术在我国深基坑开挖和支护中己得到了广泛的应用,但对其工作机理和计算方法的研究尚不完善。以一个基坑土钉支护工程为实例,对基坑水平位移、土钉拉力进行现场测试,得出了土钉水平位移和拉力的分布规律:(1)基坑最大位移发生在基坑顶部;(2)沿基坑深度范围受力最大的土钉在中部;(3)单根土钉最大拉力作用点在其长度的中部,沿基坑深度方向土钉最大拉力作用点的连线形成的曲线是潜在最危险滑动面的位置。     

浅层地温场温度监测设备综述

温度监测设备是浅层地温场监测系统中与地温场唯一直接接触的设备,是地温场监测系统中最基础也是最重要的设备。温度监测设备的选型以及施工情况,决定着浅层地温场监测系统能否正常运行。本文对目前主流的3种温度监测设备从探头材质、测量范围、测量进度以及造价等方面,进行详细的分析对比,结合3种监测设备的优缺点及项目施工情况,对3种设备的适用范围进行了阐述:当监测孔较少的情况下(一般少于10眼监测孔)宜采用单线单探头的测温设备;当监测孔数量较多的情况下(一般多于10眼监测孔)宜采用单总线式数字测温设备;分布式光纤测温设备,比较适合浅层地温能实验应用。     

用Hash表技术实现快速流分类

Hash表技术是流分类的常用方法之一,用Hash表技术实现快速流分类的关键问题是降低冲突率,提高冲突解决的效率。该文通过提出几个新的概念（如发散、最佳流分类比特和相似比特等）来降低冲突率,通过提出查找树方案来提高冲突解决的效率,从而得到了一种能适应进行任意域流分类工作的、高效的流分类哈希（Efficient Packet Classification Hash,EPCH）表技术方案。仿真试验证明：该方案冲突率低、效率高,值得推广。     

The 2020/21 Extremely Cold Winter in China Influenced by the Synergistic Effect of La Niña and Warm Arctic

In the first half of winter 2020/21,China has experienced an extremely cold period across both northern and southern regions,with record-breaking low temperatures set in many stations of China.Meanwhile,a moderate La Ni?a event which exceeded both oceanic and atmospheric thresholds began in August 2020 and in a few months developed into its mature phase,just prior to the 2020/21 winter.In this report,the mid?high-latitude large-scale atmospheric circulation anomalies in the Northern Hemisphere,which were forced by the negative phase of Arctic Oscillation,a strengthened Siberian High,an intensified Ural High and a deepened East Asian Trough,are considered to be the direct reason for the frequent cold surges in winter 2020/21.At the same time,the synergistic effect of the warm Arctic and the cold tropical Pacific(La Ni?a)provided an indispensable background,at a hemispheric scale,to intensify the atmospheric circulation anomalies in middle-to-high latitudes.In the end,a most recent La Ni?a prediction is provided and the on-coming evolution of climate is discussed for the remaining part of the 2020/21 winter for the purpose of future decision-making and early warning.     

Assessing Disagreement and Tolerance of Misclassification of Satellite-derived Land Cover Products Used in WRF Model Applications

As more satellite-derived land cover products used in the study of global change,especially climate modeling,assessing their quality has become vitally important.In this study,we developed a distance metric based on the parameters used in weather research and forecasting(WRF) to characterize the degree of disagreement among land cover products and to identify the tolerance for misclassification within the International Geosphere Biosphere Programme(IGBP) classification scheme.We determined the spatial degree of disagreement and then created maps of misclassification of Moderate Resolution Imaging Spectoradiometer(MODIS) products,and we calculated overall and class-specific accuracy and fuzzy agreement in a WRF model.Our results show a high level of agreement and high tolerance of misclassification in the WRF model between large-scale homogeneous landscapes,while a low level of agreement and tolerance of misclassification appeared in heterogeneous landscapes.The degree of disagreement varied significantly among seven regions of China.The class-specific accuracy and fuzzy agreement in MODIS Collection 4 and 5 products varied significantly.High accuracy and fuzzy agreement occurred in the following classes:water,grassland,cropland,and barren or sparsely vegetated.Misclassification mainly occurred among specific classes with similar plant functional types and low discriminative spectro-temporal signals.Some classes need to be improved further;the quality of MODIS land cover products across China still does not meet the common requirements of climate modeling.Our findings may have important implications for improving land surface parameterization for simulating climate and for better understanding the influence of the land cover change on climate.