Advances on Assessment of Bioclimatic Comfort Conditions at Home and Abroad

The evaluation of bioclimatic comfort conditions has very important theoretical meaning and practical value, not only beacause it can help travelers choose their favorate holiday destinations, but also because it can provide scientific foundation for the assessment of urban living environment. It has become a hot topic recently, driven by the flourishing tourism and the improvement of people’s living standard. The research history on assessment of bioclimatic comfort conditions, which may date back almost a century, is divided into three peroids based on a detailed survey of literature related to this topic over the past century. The infulential assessment models in each period are introduced. The historical background, basic idea and applicable conditions for each model are described in detail. The research shows that: ①bioclimatic comfort assessment models have been evolved from simple empirical models limited to space and time into complicated, impersonal, and universal energy balance models, which shows the trend of sophistication and objectivity; ②Today, empirical models are still widely used for the assessment of comfortable climates in China, and thus it is important to select the appropriate ones to make sure they are good for use for a study area or in a particular season; ③there are some problems calling for immediate resolution, such as to develop universal assessment models as well as to explore fine scale assessment techniques; ④the evaluation on featured comfortable climates, which might expand the study area of comfortable climates assessment, is an important research direction in the future.     

基于微缩模型的森林BRF测量

利用林木微缩模型构建不同空间分布的林分,测量林分的双向反射率因子(bidirectional reflectance factor,BRF),并对其反射光谱进行了分析研究。结果显示:基于微缩模型得到的观测结果整体较符合实际森林的特征,与三维模型模拟结果一致;在近红外波段,光谱曲线呈典型的"碗边效应",在观测主平面"热点效应"较为明显。研究结果证实林木微缩模型可以用于森林BRF研究。对不同林木模型的分布状态与不同的地形条件的测量结果对比分析后发现,林木分布的密度和坡度是较为敏感的参数,其特征与规律性有助于建模反演地表信息。     

The continuity equation slope model and basal boundary conditions: A further comment

Intermediates between a fixed basal elevation and a constant rate of downcutting throughout the slope profile are perhaps more realistic than either extreme case.     

狭长区域下基于正交法的GPS高程拟合研究

将GPS点大地高直接转换成正常高,越来越广泛地应用于建立高程控制网的实践中。而要保证GPS点高程精度的关键是高程异常拟合模型选择的合理性。文中介绍了在狭长带状区域下利用正交函数法拟合GPS点高程的数学模型。并利用试验数据进行比对分析。结果表明,文中提出的方法计算具有算法稳定,成果合理的特点。     

IMPACT STUDY ON THE CALCULATION OF VERTICAL VELOCITY IN DIFFERENT VERTICAL COORDINATE SYSTEMS

1 INTRODUCTION First, let’s have a review of various vertical coordinate systems used in numerical weather prediction (NWP). Richardson[1] (1922) first attempted to use the geometrical height z as the vertical coordinate system. Though geometrical height is easy to understand as a concept, it had not been applied in NWP until Kasahara and Washington (1967) rewrote his predictive equations and used state-of-the-art high-speed computers to conduct NWP in height coordinates. Eliassen[2]…     

Generation of correlated properties in heterogeneous porous media

The spatial distribution of rock properties in porous media, such as permeability and porosity, often is strongly variable. Therefore, these properties usefully may be considered as a random field. However, this variability is correlated frequently on length scales comparable to geological lengths (for example, scales of sand bodies or facies). To solve various engineering problems (for example, in the oil recovery process) numerical models of a porous medium often are used. A need exists then to understand correlated random fields and to generate them over discretized numerical grids. The paper describes the general mathematical methods required to do this, with one particular method (the nearest neighbor model) described in detail. How parameters of the mathematical model may be related to rock property statistics for the nearest neighbor model is shown. The method is described in detail in one, two, and three dimensions. Examples are given of how model parameters may be determined from real data.     

Algorithm for generating dem based on cone

Digital elevation model (DEM) has a variety of applications in GIS and CAD. It is the basic model for generating three-dimensional terrain feature. Generally speaking, there are two methods for building DEM. One is based upon the digital terrain model of discrete points, and is characterized by fast speed and low precision. The other is based upon triangular digital terrain model, and slow speed and high precision are the features of the method. Combining the advantages of the two methods, an algorithm for generating DEM with discrete points is presented in this paper. When interpolating elevation, this method can create a triangle which includes interpolating point and the elevation of the interpolating point can be obtained from the traingle. The method has the advantage of fast speed, high precision and less memory.     

数字地图图像的基本形态学变换和结构元素的分解

本文是作者关于“数学形态学与数字地图图像的分析和识别”研究成果的一部分。文章提出了地图图形的集合概念和地图图像形态分析的基元确定原则,证明了结构元素的基元最小分解定理;同时,介绍了基本的形态学变换,统一并扩展了带约束条件的数学形态学变换模型;从而,奠定了数字地图图像分析和识别的数学基础。     

Economics of climate change: risk and responsibility by world region

The impacts of predicted climate change will not be distributed evenly around the world. As post-Kyoto negotiations unfold, relating the geographical distribution of projected impacts to responsibility for emissions among world regions is essential for achieving an equitable path forward. This article surveys the current knowledge of regional climate consequences, and delves into the regional predictions of economic assessment models to date, examining how the uncertainties, assumptions and ethical dimensions influence the portrayal of risk at this scale. The few studies that quantitatively compared regional risk and responsibility are reviewed, and the analytical framework from one such study is applied to the 2006 Stern Review's projections to give the first regional comparison to take purchasing power and welfare considerations into account. Synthesizing burden and blame in this way is informative for policy makers; the world's most vulnerable communities—in Africa, the Indian subcontinent, Latin America, and small island states—accounted for less than 33% of global greenhouse gas emissions over the period 1961–2000, but may experience more than 75% of the ensuing climate damages this century. This analysis reinforces the call for industrialized nations to lead mitigation efforts, and to do so decisively and swiftly.     

The geometry of space-time prisms with uncertain anchors

Space-time prisms envelop all spatio-temporal locations that moving objects may have visited between two of their known spatio-temporal locations, given a bound on their travel speed. In this context, the known locations are often the result of observations or measurements, and they are called ‘anchor points’. The classic space-time prism, in isotropic two-dimensional space, as well as in transportation networks, assumes that the measurements of these anchor points are exact. Whereas, in many applications, we can assume that time can be measured fairly precisely, this assumption is unrealistic for the spatial components of measured locations (we think of Global Positioning System (GPS) errors, for instance). In this paper, we extend the classical prism from anchor points to circular ‘anchor regions’ that capture the uncertainty or error on their measurement. We define the notion of a space-time prism with uncertain anchor points, called uncertain prism, for short. We study the geometry of uncertain prisms in an arbitrary metric space to make this concept as widely applicable as possible. We also focus on the rims of uncertain space-time prisms, which demarcate the area that a moving object can have visited between two anchor regions (given some local speed limitations).