基于密度的线数据分组算法研究

目前,地理空间数据面临着由于数据量膨胀和计算量高速增长而引起算法效率低的问题,采用"分而治之"的数据分组策略提高运算效率已成为研究的热点。面向分布不均匀的线数据,本文提出了基于密度的线数据分组算法(简称LGAD)。首先,算法通过查找高密度区提取样本线段,保证了分组算法的起点落到高密区;其次,考虑线空间拓扑关系的复杂性,引用水平、垂直和夹角距离度量线段间距离,创建样本线段与其他线段的距离矩阵;最后,以距离矩阵和最优选择方法实现数据负载均衡分组。实验结果显示,对数据分组和分组后数据进行线段聚类的2个过程中,该算法体现了较好的时间优势,与串行计算相比,在分组数为2-12 时,平均比率达4.3,提高了应用的响应速度,具有较好的实际意义。     

基于旁压试验土体弹塑性本构模型初探

在大量旁压试验数据分析的基础上,通过曲线拟合,建立了旁压试验弹塑性阶段曲线的椭圆方程,利用土体SMP屈服准则和Rowe流动法则,推导出土体塑性阶段应力增量与应变增量间关系矩阵。在弹性阶段,假设土体应力-应变服从广义虎克定律,建立了基于旁压试验的土体弹塑性本构模型。编制了相应的计算程序,将文中模型计算结果与实际旁压试验曲线进行对比,初步验证了模型的正确性。将本构模型编译为ABAQUS自定义材料子程序UMAT,通过有限元对比分析,文中模型计算变形较弹性模型小,较摩尔-库仑模型大,与模型建立的假设一致。基于旁压试验的土体弹塑性本构模型参数少,且易于获取,便于在实际工程中应用。     

A framework for the seismic assessment of existing masonry buildings accounting for different sources of uncertainty

The current formulation of Eurocode 8 Part 3 and the Italian building code for the seismic assessment of existing buildings accounts for epistemic (knowledge‐based) uncertainties by means of the identification of knowledge levels with associated values of the so‐called confidence factors, applied only as a reduction of material strengths. This formulation does not always produce consistent results and it does not explicitly account for other sources of uncertainty. The paper proposes a probabilistic methodology for the quantification of appropriately defined factors, allowing consideration of the different sources of uncertainty involved in the seismic assessment of masonry buildings by means of nonlinear static analyses. This simple approach, also including an alternative formulation of the confidence factors related with material properties, allows to obtain results which are consistent with the acquired level of knowledge and correctly account for the different sources of uncertainty without requiring to carry out any stochastic nonlinear analysis. Copyright © 2013 John Wiley & Sons, Ltd.     

如何开展地震现场科普宣传工作初探

地震科普宣传工作多是在地震发生之前开展,主要偏重的是如何地震避险。地震灾害发生后对灾区民众如何有效地减轻地震灾害及合理地配合外来救援力量的科普宣传缺乏系统性。本文从地震现场科普宣传的形式、内容及如何更好地实现现场科普宣传三个方面对地震现场科普宣传工作进行分析,旨在为利用地震现场科普宣传维护震区的社会稳定、减轻灾害损失及顺利地开展地震现场救援提出建议。     

Assessing indigenous knowledge systems and climate change adaptation strategies in agriculture: A case study of Chagaka Village,Chikhwawa, Southern Malawi

In Malawi, production from subsistence rain fed agriculture is highly vulnerable to climate change and variability. In response to the adverse effects of climate change and variability, a National Adaptation Programme of Action is used as framework for implementing adaptation programmes. However, this framework puts limited significance on indigenous knowledge systems (IKS). In many parts of the world, IKS have shown potential in the development of locally relevant and therefore sustainable adaptation strategies. This study was aimed at assessing the role of IKS in adaptation to climate change and variability in the agricultural sector in a rural district of Chikhwawa, southern Malawi. The study used both qualitative data from focus group and key informant interviews and quantitative data from household interviews and secondary data to address the research objectives. The study established that the local communities are able to recognise the changes in their climate and local environment. Commonly mentioned indicators of changing climatic patterns included delayed and unpredictable onset of rainfall, declining rainfall trends, warming temperatures and increased frequency of prolonged dry spells. An analysis of empirical data corroborates the people’s perception. In addition, the community is able to use their IKS to adapt their agricultural systems to partially offset the effects of climate change. Like vulnerability to climate change, IKS varies over a short spatial scale, providing locally relevant adaptation to impacts of climate change. This paper therefore advocates for the integration of IKS in programmes addressing adaptation to climate change and vulnerability. This will serve to ensure sustainable and relevant adaptation strategies.     

城中村有序改造的群决策——以广州市城中村改造为例

公众参与已成为城市规划过程中的法定程序之一,因此研究公众参与下的城中村有序改造,对于探索中国城中村改造实施机制有着重大的理论意义和应用价值。公民个体由于信息的缺乏以及受到自身知识、阅历等的限制,通常只能对一定范围内的部分空间环境进行有效地观察,形成一定的感知,即仅仅能给出各自偏好下的对部分方案的评估序列,而传统的群决策方法不能很好地处理较大比例数据的缺失问题。采用基于马尔科夫链的MC 4 启发式算法,对多个部分序进行融合,得到一个初始序列,然后对该初始序列进行Kemeny 局部优化形成群决策结果。以广州市52 个全面改造的城中村改造为例,首先构造三种不同类型的城中村居民决策者和一类环境保护决策者;其次四类决策者个体分别从各自不同的利益角度出发,对其感知空间内的部分城中村改造的迫切程度进行评估并排序;然后采用Python 编程实现了Kemeny局部优化算法对四类决策者的评估序列进行融合,得到52 个城中村改造的群决策结果;群决策结果与个体决策方案之间的Kendall tau 距离为0.2873,说明该方法得到的群决策结果与个体决策者之间的决策具有较好的一致性。研究表明,该方法摒弃传统的个案剔除法以及各种各样的数据插补方法,充分利用隐藏在这些数据中的信息,保证数据的客观性和结果的正确性,可以为公众参与的民主决策提供定量化的方法,为公共政策的制定提供科学的决策支持。     

CSAMT勘探中场区、记录规则、阴影及场源复印效应的解析研究

由矢量位导出均匀大地表面上水平接地谐变电偶极子地下电磁场的闭合表达式, 将地层波和地面波显式地区分开来, 据此定义了与远区场和近区场对应的地面波区和地层波区. 对长期困扰CSAMT勘探工作者的记录点问题、阴影和场源复印效应问题给出了物理解释. 由地层波与地面波之比给出了定量划分场区的方法, 每一场分量最佳记录规则下的条件和判断是产生阴影和场源复印效应的前提. 山西沁水盆地CSAMT勘探覆盖点的推断结果表明, 阴影和场源复印效应是由地层波所携带的源与观测点之间、源下方真实地质情况的信息决定, 是可以利用的.     

基于人工神经元网络的空间知识表达与推理方法研究

分析了智能决策支持系统的结构,通过比较指出了基于符号的知识表达与推理方法的不足,阐述了基于神经网络的知识表达与推理的方法,并认为神经网络方法可作为智能空间决策支持系统中符号方法的替代或补充,并通过实例验证了基于神经网络的不确定空间知识表达与推理的有效性.     

论《GIS空间分析》课程建设

综述了GIS空间分析理论的相关知识面和知识点,分析了课程的教学适应性,提出了课程建设的几点建议.     

A voluntary reduction in the commercial catch of rock lobster (Jasus edwardsii) in a New Zealand fishery

We describe the development and application of a management procedure (decision rule) that resulted in a voluntary reduction in the commercial catch of spiny rock lobster (Jasus edwardsii) in the lower east coast of North Island of New Zealand. The management procedure was developed from an accepted assessment of the CRA 4 (Wellington‐Hawke's Bay) fishery, which used an integrated length‐based assessment model fitted to commercial fishery catch‐per‐unit‐effort (CPUE) biomass indices, commercial length‐frequency data, and tag‐recapture data. The assessment model had been Bayesian, and used the joint posterior distribution of parameters to predict the effect of 384 alternative harvest control rules on the future size of the CRA 4 stock. The harvest control rules all used CPUE as their input, and generated annual changes in catch, which were then simulated by the population dynamics of the operating model. Uncertainty was added to evaluations through observation error, added to the simulated CPUE observations, and stochastic serial auto‐correlation variation in recruitment. We describe how this management procedure was used to effect a voluntary reduction in catch to address the problem of a rapidly declining population.