Modeling and representation for earthquake emergency response knowledge: perspective for working with geo-ontology

Earthquake emergency response is one of the three earthquake disaster mitigation work systems in China, already achieving good results in some earthquake disaster mitigation situations. Earthquake emergency plans and emergency command systems are among the most important research and operations components of emergency response. These components commonly come with challenges, such as the pertinence of emergency commands and the operability of the countermeasures to be improved. The promise for solving this problem resides with applying knowledge that aids intelligence creation for decision-making. In this paper, we put forward a conceptual model of knowledge for earthquake disaster emergency response (EDER); compositions of EDER knowledge are introduced within architecture. A modeling method incorporating geo-ontology is used to build basic modeling primitives. Geo-ontology serves to represent geospatial characteristics of the EDER knowledge and addresses a need for semantic interoperability in the modeling process. A decision problem framework and a case study have been used as theoretical framework and an application test, respectively, to evaluate the EDER knowledge architecture and models. The EDER knowledge model provides a foundation for intelligent emergency response that helps solve knowledge problems to improve earthquake disaster response.     

我国西部1:50000地图新产品设计与表达技术

西部测图工程以"丰富产品种类,拓展服务领域"为设计宗旨,力求地图新产品开发,在传统4D产品的基础上,根据西部地物地貌特征补充了地形图要素内容,开发研制了影像地图、晕渲地形图新产品。本文针对原有地形图在表达西部地物地貌特征方面的不足,介绍了西部测图工程中地图新产品的内容设计与制图表达,包括地形图要素扩充内容与制图表达、影像地图产品内容设计与制图表达、晕渲地形图产品内容设计与制图表达等技术内容。地图新产品设计与表达技术已应用在西部测图中,指导生产了我国西部首批1:50000地形图、影像地图和晕渲地形图产品,丰富了我国基本比例尺地形图产品种类。     

Tetrolet域利用时空相关性的云图压缩感知重建

针对卫星云图数据量大,但传输通道和存储空间相对狭小的问题,本文基于Tetrolet变换,利用相邻时次云图的时空相关性,实现了一种高重构质量的卫星云图压缩感知方法。该方法将善于表达图像方向纹理及边缘信息的Tetrolet变换引入压缩感知的稀疏表示环节,从而很好地体现了卫星云图细节丰富、纹理结构复杂的特性;同时,考虑到卫星云图序列间的相关性,将时间相邻的卫星云图组成图像组,以中间时刻云图作为参考图像,计算其与相邻时次云图的差异,通过在参考图片及序列差异图片间合理分配采样率,获取测量数据,在压缩感知框架下,采用带平滑处理的投影Landweber算法,重构出相邻时次的图像组。实验结果表明,Tetrolet变换适用于卫星云图的稀疏表示,而且图像组时空相关性的利用可显著提高重构云图的视觉效果及客观评价指标;在采样率低于0.2时,红外1、水汽和可见光3个通道重构云图的峰值信噪比(PSNR)较传统方法平均提高了7.48 dB,13.51 dB和6.15 dB。由此可见,本文方法可以通过获取少数随机测量值,重构出高质量的卫星云图,不仅为云图数据的低比特率压缩提供了一种可行的解决方案,而且对于其他序列图像的压缩采样具有借鉴意义。     

《南京市基础测绘成果目录》图册的编制特点

概述了《南京市基础测绘成果目录》图册（以下简称《图册》）的编制背景、结构内容及开本与装订方式,较详细地介绍了资料收集整理的方法、地理底图的类型与选取内容、各项专题要素的设计表示的形式与特点。     

矢量河网渐进式传输的多尺度表达模型

矢量河网数据渐进式传输是制图综合的逆过程,从几何特征出发化简曲线的方法忽略了曲线的形态特征。鉴于此,以曲线轴线为基准,基于曲线弯曲层次化提取河流曲线数据,并将提取的曲线数据分层组织,构建结合目标层和几何细节层的河网多尺度表达模型。基于该模型开发了矢量河网数据的渐进式传输系统,验证了该方法的有效性。     

多尺度表达中线状要素的综合不确定性评价模型

在考虑节点化简的基础上建立了节点数据不确定性评价模型,基于曲线光滑模型建立了线元模型不确定性评价模型,在此基础上,根据不确定性传播律构建了由数据不确定性和模型不确定性合成的线状要素多尺度表达不确定性的综合评价模型。实验表明,综合不确定性指标值作为线状要素多尺度表达不确定性的量化指标是有效的。可将其用于计算线元不确定带的宽度,解决线状要素多尺度表达不确定性空间分析和推理问题;并用于线状要素多尺度表达的质量评价与控制。     

北京土地利用混合度对居民职住分离的影响

市场经济体制改革以来,中国城市土地利用方式发生巨大变化,深刻影响居民日常生活。尽管国内外学者关注土地利用方式对居民通勤行为的影响,然而其研究方法均采用简单的单层模型,未能将数据的多层嵌套关系纳入模型中。为解决这一问题,本文采用多层线性模型(Multilevel Models),以北京为例,同时分析了在居住地和工作地层级上的街道土地利用混合度对居民职住分离的影响,以及居民住房情况和社会经济属性对其职住分离的影响。研究结果表明,微观层面的土地利用混合度的提升的确有利于减轻个体的职住分离;个体所在的工作地土地利用方式也对其职住分离产生影响,而且工作地对个体的影响要比居住地的影响更大;居民的社会经济属性、住房情况等对其职住分离程度存在显著的影响;交叉分类多层线性模型适用于解决存在复杂嵌套关系的影响因素分析。     

Terrain Pattern Recognition and Spatial Decision Making for Regional Slope Stability Studies

A terrain partition scheme is presented that allows the identification of regions with high landslide risk in natural terrain zones on the basis of geomorphometric criteria from moderate resolution DEMs. The key factor being the terrain segmentation to aspect regions (regions formed by points preserving the same aspect direction) instead of using an artificial regular-grid terrain partition scheme. The study area is in western Greece (NW Peloponnesus) whereas a moderate resolution digital elevation model with spacing 75 m is used. Landslide inventory analysis and knowledge conceptualization identified that the landslide susceptibility of a particular aspect region is high, if the mean elevation is low and the mean gradient is high. Each aspect region was parametrically represented on the basis of its mean gradient and elevation. The domain of each parameter was divided to seven slices (classes) on the basis of the observed density. Subsequent knowledge based mapping identified aspect regions with high landslide susceptibility for the following spatial rule: (a) “mean slope in class 6 or 7” and (b) “mean elevation in class 1 to 5”. Alternatively the rule is expressed as mean slope to be equal or greater than 15^∘ whereas mean elevation to be in the range 0 to 750 m. These identified zones correspond to regions where historical landslides occurred (populated coastal areas in the North) as well as to south regions (natural terrain zone) where no landslide record is available, because of the limitations posed by the natural terrain landslide mapping program in Greece. The presented terrain segmentation technique combined to the spatial decision-making process, provided both an object framework for integrating geomorphometric parameters and a method for landslide risk analysis in natural terrain zones.