Dynamic responses under the excitation of pulse sequences

This paper studies the dynamic responses of SDOF system under pulse-dominant excitations. The purpose of the study is to prepare for scrutiny of some near-field pulse-dominant ground motions and their potential to cause structural damage. Extending the single pulse dynamics, we consider the effect of pulse sequences. This kind of excitation was particularly obvious in some of previous earthquakes such as Northridge (1994) and Chi-Chi (1995). Based on the duration,peak and rise and decay era of the main pulse as well as its relationship with the predecessor and successor pulses, we propose a classification for the pulse sequences. Consequent studies have been carried out for acceleration, velocity and displacement response spectra of the main pulse with either a predecessor or a successor pulse. The analysis also includes general response behaviors in different fundamental period segments and special aspects of response at certain points (e.g., the corresponding peak points).     

多相离散随机介质模型及其探地雷达波场特征研究

沥青混凝土是由骨料、沥青胶浆、空气按照一定的体积百分比混合而成的多相非匀质混合物, 其骨料、沥青胶浆和空气的体积不等、形状各异、介电特性不同、空间位置随机分布, 具有明显的多相、离散、随机介质特征.本文基于随机介质模型理论, (1)测量与统计了介电常数在典型沥青混凝土芯样空间上的随机分布统计特征; (2)估算了沥青混凝土介质的自相关函数及其特征参数(自相关长度、自相关角度等), 确定其随机介质类型; (3)提出了量化约束下的多相离散随机介质建模算法, 以混合型椭圆自相关函数为基础, 构建了不同粗糙度因子的多相离散随机介质模型; (4)构建了不同空隙率的多相离散随机介质模型, 正演模拟与对比分析了探地雷达波在均匀介质、连续型随机介质和多相离散随机介质中的传播特征.结果表明:多相离散随机介质模型不仅描述了沥青混凝土的多相、离散与空间随机分布统计特征, 而且进一步描述了其各组成物质体积百分比, 能更全面、准确地描述沥青混凝土的介质特征, 同时也为描述其他类似材料或介质提供了新的方法和途径; 在多相离散随机介质模型中, 探地雷达波散射强烈, 随机、无序传播的散射波相互叠加干涉, 形成了明显的随机扰动和"噪声", 致使异常体反射波扭曲变形、不连续, 降低了探地雷达回波的信噪比和分辨率.研究探地雷达波的随机扰动特征与多相离散随机介质模型参数之间的关系, 将为定量评价多相离散随机介质的属性参数提供参考和帮助.     

Representation and participation in formulating Nepal’s REDD+ approach

ABSTRACT

REDD+ is an international policy aimed at incentivizing forest conservation and management and improving forest governance. In this article, we interrogate how newly articulated REDD+ governance processes established to guide the formulation of Nepal’s REDD+ approach address issues of participation for different social groups. Specifically, we analyse available forums of participation for different social groups, as well as the nature of their representation and degree of participation during the country’s REDD+ preparedness phase. We find that spaces for participation and decision-making in REDD+ have been to date defined and dominated by government actors and influential civil society groups, whereas the influence of other actors, particularly marginalized groups such as Dalits and women’s organizations, have remained limited. REDD+ has also resulted in a reduction of influence for some hitherto powerful actors (e.g. community forestry activists) and constrained their critical voice. These governance weaknesses related to misrepresentation and uneven power relations in Nepal cast doubt on the extent to which procedural justice has been promoted through REDD+ and imply that implementation may, as a consequence, lack the required social legitimacy and support. We discuss possible ways to address these shortcomings, such as granting greater prominence to neglected civil society forums within the REDD+ process, allowing for an increase in their influence on policy design, enhancing capacity and leadership of marginalized groups and institutionalizing participation through continued forest governance reform.

Key policy insights

• Participation is a critical asset in public policy design.

• Ensuring wide and meaningful participation can enhance policy legitimacy and thus its endorsement and potential effective implementation.

• Fostering inclusive processes through dedicated forums such as multi-stakeholder groups can help overcome power dynamics.

• While REDD+ is open to participation by different actors through a variety of formal means, many countries lack a clear framework for participation in national policy processes.

• Nepal’s experience with representation and participation of non-state actors in its REDD+ preparedness programme provides useful insights for similar social and policy contexts.

     

基于镜像图的LRC和CRC偏差结合的人脸识别

为了提高人脸识别率及更好地显示人脸特征,本文提出了一种基于镜像图的LRC和CRC偏差结合的人脸识别方法.该方法首先生成一种镜像人脸,再通过融合原始人脸和镜像人脸形成新的混合训练样本,最后利用LRC和CRC偏差结合进行人脸识别.新方法增加了训练样本的数目,克服了由于光照和姿态等外部因素带来的影响.实验结果表明,镜像图与LRC和CRC偏差结合的人脸识别方法提高了人脸识别的准确性.     

基于压缩感知的地基红外云图云状识别

为了对地基全天空红外测云仪获得的云图进行分类,该文从压缩感知理论出发,提出了一种利用云图灰度稀疏性进行云状识别的新方法。首先运用典型云图样本构造冗余字典,然后通过梯度投影 (GPSR) 算法和正交匹配 (OMP) 算法求取测试样本在冗余字典中的l1范式最优解,最后利用残差法和稀疏比例法对云状进行判别并输出。采用压缩感知理论进行云状识别,降低了对特征提取技术的要求,为云状的自动识别提供了新思路,对典型波状云、层状云、积状云、卷云和晴空的总体识别率分别达到75%,91%,70%,85%和93%,平均识别率为82.8%。     

《气象与环境科学》征订、征稿启事

利用20052006年许昌市逐日供电量和气温、降水、相对湿度等气象要素资料,分析了供电量和这些气象要素之间的相关关系,结果表明,温度为影响本地用电量的主要气象因子,特别是夏季用电量对气温变化的反应更加敏感.     

测站降雹和区域降雹气候特征对比分析

应用1960～2001年测站降雹和区域降雹(包括非测站资料)两种资料,对山东省降雹气候特征进行了对比分析,计算分析了山东省两种降雹资料气候图的相似离度。分析结果表明,区域降雹比测站降雹明显偏多,但时间和空间分布趋势基本一致,相似度在86％%以上,应用测站降雹资料制作的气候图具有86％的代表性。     

正压模式中慢波的离散谱及其特征函数

本文对正压模式中慢波的离散谱及其特征函数作了数值计算。结果发现，在低速线性缓变切变基流的情形下，正压原始方程中慢波可有离散谱存在。本文还给出了在该基流下算得的谱点和特征函数，并与准地转模式的计算结果进行了比较。     

GIS气象数据的管理与表达方法

将气象数据分为离散数据、格网数据和要素数据,在此基础上,建立了气象数据库,包括气象资料信息数据库、社会资料信息库、基础地理数据库和气象空间数据库,并详细分析了气象数据的组织结构、表达和处理方法,最后提出了基于GIS的气象数据管理与表达的处理方法.     

三维城市模型的研究与实践(英文)

The way we interact with spatial data has been changed from 2D map to 3D Virtual Geographic Environment (VGE). Three-dimensional representations of geographic information on a computer are known as VGE, and in particular 3D city models provide an efficient way to integrate massive, heterogenous geospatial information and georeferenced information in urban areas. 3D city modeling (3DCM) is an active research and practice topic in distinct application areas. This paper introduces different modeling paradigms employed in 3D GIS, virtual environment, and AEC/FM. Up-to-date 3DCM technologies are evolving into a data integration and collaborative approach to represent the full spatial coverage of a city, to model both aboveground and underground, outdoor and indoor environments including man-made objects and natural features with 3D geometry, appearance, topology and semantics. Supported by the National Natural Science Foundation of China ( No. 40871212, No. 40671158), the Leading Academic Discipline Project of Shanghai Educational Committee( No.J50104).