On the accumulative contribution of CO2 emission from China to global climate change

A study of the contribution to global climate change from China’s CO₂ emission is conducted using the FIO-ESM v1.0 climate model. A series of sensitivity experiments are performed to identify two kinds of contributions to global climate change of China’s CO₂ emission due to fossil fuel combustion: one is the pure contribution which is the historical climate response from the sensitivity experiment forced only by China’s CO₂ emission, the other is the accumulative contribution which is proposed in this research and defined as the difference of historical climate responses between the experiments forced by all countries’ CO₂ emission and other countries’ CO₂ emission excluding China. The pure contribution approach considers the total CO₂ discharged by China, while the accumulative contribution approach considers not only the discharge amount of China but also the discharge order of China and other countries. The latter is a more realistic approach to quantify the contribution of CO₂ emission to the historical change of atmospheric CO₂ concentration, surface air temperature (SAT), sea surface temperature (SST) and sea ice coverage in the Arctic. Model results show that from the accumulative perspective, the ratio of the contribution of CO₂ emission from China for the increase of atmospheric CO₂ concentration, SAT and SST, and the decrease of the sea ice coverage in the Arctic to that from all other countries excluding China varies from 8% to 92%, 5% to 95%, 9% to 91% and 18% to 82%, respectively. Here we take the contribution of China’s CO₂ emission as an example, the contribution of CO₂ emission from any other country or area can be evaluated by the same approach.     

新疆呼图壁地下储气库的InSAR形变监测与模拟

利用TerraSAR-X卫星2013-08~2014-08的17景雷达影像,采用小基线集（small baseline subset,SBAS）InSAR技术获取呼图壁(HTB)地下储气库（underground gas storage,UGS）运行期间的地表形变序列,并结合UGS注（采）气井口的压力数据,采用多点源Mogi模型,对HTB UGS的形变场进行模拟。结果表明,整个UGS区域的形变特征为非连续分布,形变与注（采）气压力变化具有较好的相关性;注（采）气期间沿卫星视线向(LOS)的形变峰值分别为10 mm和-8 mm;采用自适应前向搜索法,基于多点源Mogi模型初步模拟注（采）气期间的形变过程,当UGS的注（采）气平均气压为18 MPa和15 MPa时,LOS的形变可达7 mm和-4 mm,地表形变的大小与注（采）气井口密度有关;UGS的储气分布呈非均匀状态,即地下气库结构复杂多变。     

基于多元整体最小二乘优化的多点灰色动态变形分析模型

提出一种多元整体最小二乘优化的多点灰色动态模型,并结合实例验证优化的MGM(1,n)模型的优越性。将优化的MGM(1,n)模型与一般的MGM(1,n)模型进行对比,分析两种模型的建模值和预测值。结果表明,优化的MGM(1,n)模型在建模数据多于4期的情况下建模精度更高,预测精度更准确,更符合实际情况。     

Modeling the scale dependences of topological relations between lines and regions induced by reduction of attributes

The scale dependences of topological relations are caused by the changes of spatial objects at different scales, which are induced by the reduction of attributes. Generally, the detailed partitions and multi-scale attributes are stored in spatial databases, while the coarse partitions are not. Consequently, the detailed topological relations can be computed and regarded as known information, while the coarse relations stay unknown. However, many applications (e.g., multi-scale spatial data query) need to deal with the topological relations at multiple scales. In this study new methods are proposed to model and derive the scale dependences of topological relations between lines and multi-scale region partitions. The scale dependences of topological relations are modeled and used to derive the relations between lines and coarse partitions from the relations about the detailed partitions. The derivation can be performed in two steps. At the first step, the topological dependences between a line and two meeting, covered and contained regions are computed and stored into composition tables, respectively. At the second step, a graph is used to represent the neighboring relations among the regions in a detailed partition. The scale dependences and detailed relations are then used to derive topological relations at the coarse level. Our methods can also be extended to handle the scale dependences of relations about disconnected regions, or the combinations of connected and disconnected regions. Because our methods use the scale dependences to derive relations at the coarse level, rather than generating coarse partition and computing the relations with geometric information, they are more efficient to support scale-dependent applications.     

64层螺旋CT对鼻腔NK/T细胞淋巴瘤的诊断价值

目的:分析鼻腔NK/T细胞淋巴瘤的CT影像,探讨其相对特异的表现。方法:回顾性分析5例病理证实的鼻腔NK/T细胞淋巴瘤的临床、手术病理及CT资料。结果:5例NK/T细胞淋巴瘤,均累及鼻前部或前庭,引起鼻背部皮肤及皮下软组织肿胀,邻近骨破坏轻微或不明显,病变大部密度较均匀,轻度强化。结论:CT发现鼻腔前部肿物,不伴或伴轻微骨结构破坏或变形,邻近鼻背部皮下肿胀,应考虑鼻腔NK/T细胞淋巴瘤。     

成人三房心的CT增强表现及手术病理对照

目的:探讨成人三房心的CT增强表现及其手术病理,提高对其诊断水平。方法:回顾性分析经手术病理证实的3例三房心的临床资料及CT表现。结果:三房心影像学表现典型,分常见的左侧三房心和右侧三房心(右心房憩室)。左侧完全型三房心表现为左心房内纤维隔膜将其一分为二,中间有孔相通。右侧三房心示与右心房相连的囊性结构,强化同心房,可见憩室口。结论:螺旋CT增强扫描及后处理技术对三房心诊断明显,可以指导临床手术。     

日本Mw9.0地震前的舒曼谐振异常分析

2011年3月11日日本本州岛东海岸附近海域发生了Mw9.0地震.基于中国云南的舒曼谐振(SR)观测站的磁场观测数据,分析了与该次地震有关的SR疑似异常现象.分析表明,震前3 4天低阶谐振开始出现比较明显的幅度增强现象,以2011年3月8日(北京时间)这一天的现象最明显,南北向在7:00-10:00和12:00-15:00异常比较明显,而东西向只在12:00-15:00异常相对比较强.根据对2011年3月1-11日及对应每天前后各15天共41天的数据的联合分析,3月8日部分时间段的低阶谐振磁场差明显高于一倍甚至两倍标准差;相比而言,正常的一天内各阶磁场差要明显低于一倍标准差.最后,根据一些日本地震学者提出的SR异常机理,进一步分析了在云南观测站能观测到日本地震异常的可能性.结果表明,在永胜观测站可以观测到日本地震引起的一阶到三阶SR异常,与发现的异常主要集中在低阶的现象比较吻合.     

基于GIS的测量控制点管理信息系统的设计与实现

随着城市建设项目的迅速增加,测绘部门在城区内建立的控制点也正在逐步加密.控制点被破坏的可能性逐渐增加,其资料的更新也变得异常频繁.采用传统手工方式对控制点资料进行管理已不能满足信息化测绘工作的需要.为此,本文在.NET开发平台的基础上利用ArcGIS Server和ArcSDE相关技术设计并构建了测量控制点管理信息系统.该系统实现了测量控制点地图发布、控制点高效查询、控制点在线编辑等功能,有效地完善了对测量控制点的信息化管理.     

罗布泊湖相沉积物极化散射特性及其环境意义

通过对罗布泊古湖盆区域("大耳朵")湖相沉积物含水量与含盐量、介电性质、地表微地貌等理化参量的分析,本文提出了罗布泊古湖盆区域的散射过程与次地表散射结构;利用全极化测量技术(PolSAR, Polarimetric Synthetic Aperture Radar),本文对不同纹理区域进行了物理散射机制的定量化剖析,同极化相关分析与极化度推算结果表明整个"大耳朵"区域后向散射强烈,亮条带比暗条带的散射机制更为复杂,地表微地貌状态是造成"大耳朵"特征的表观原因.在此基础上,本文利用极化分解技术进一步分离不同散射机制分量,通过定量比较各部分贡献对于"大耳朵"特征的表征能力,提出次地表介质性质(如含盐量)是"大耳朵"特征的根本性成因,相关性可达0.784,同时分析了次地表高含水含盐湖相沉积物在SAR响应中的重要性及其与地表形态之间的动力学形成机制.最后,本文论证了合成孔径雷达(SAR, Synthetic Aperture Radar)在罗布泊地区的穿透能力,预示着SAR遥感技术在干旱区环境研究中的应用潜力.     

基于脊线检测的高分辨率图像道路中线提取算法

为从高分辨率图像中提取道路中心线,本文提出了一种有效的基于脊线检测的提取算法。该算法首先对原始图像进行脊线检测得到道路中心线,再利用canny算子检测道路边缘,最后与脊线检测结果算术相与得到最终结果。实验表明该算法检测结果与实际道路中心线吻合度高,简单易行,且鲁棒性好。