内蒙古蒙古族生态移民生活方式转型地区差异研究——以锡林郭勒盟为例

本论文以锡林郭勒盟生态移民搬迁前后的生产生活方式问卷调查表为信息源,通过聚类分析和综合分析法对研究区生态移民生产生活方式转型及其地区差异进行分析与研究。综合评价与分析结果表明:(1)南部地区:产业向低效益产业化、物质生活向贫困现代化、传统的优秀文化生活向变异中继承方向转型。(2)北部地区:产业向不稳定专业化、物质生活相对稳定、传统的优秀文化生活向快速衰落方向转型。     

THE LIFE-CYCLE OF MINERAL CONSUMPTION IN REGIONAL DEVELOPMENT AND ITS IMPLICATION

Ｉ.ＩｎｔｒｏｄｕｃｔｉｏｎＴｈｒｏｕｇｈｏｕｔｈｉｓｔｏｒｙｍｉｎｅｒａｌｓｈａｖｅｂｅｅｎａｄｅｔｅｒｍｉｎａｎｔｆａｃｔｏｒｉｎｔｈｅｅｖｏｌｕｔｉｏｎｏｆｓｏｃｉｅｔｉｅｓａｎｄｃｉｖｉｌｉｚａｔｉｏｎ.ＴｈｅｖｅｒｙｏｂｖｉｏｕｓｉｍｐａｃｔｏｆｍｉｎｅｒａｌｓｏｎＭａｎ’ｓｅｖｏｌｕｔｉｏｎｃａｎｂｅｔｒａｃｅｄｉｎｔｅｒｍｓｏｆＭａｎ’ｓａｃｑｕａｉｎｔａｎｃｅｗｉｔｈｍｉｎｅｒａｌｓ—ｔｈｅＰｒｅｓｔｏｎｅＡｇｅ,ｔｈｅＳｔｏｎｅＡｇｅ,ｔｈｅＢｒｏｎｚｅＡｇｅ,ｔｈｅＩｒｏｎＡｇｅ,…     

人工免疫系统与嵌入规划目标的城市模拟及应用

人工免疫系统(AIS) 具有强有力的计算能力, 可以通过免疫识别、克隆选择、免疫学 习、免疫记忆等功能来进行模式识别和自适应学习。AIS 所具有的自学习、自适应和记忆的能力非常适合于复杂地理过程的研究。而元胞自动机(CA) 是研究复杂系统非常方便和有效的工具。将人工免疫系统和元胞自动机相结合, 建立了城市演变的模拟和规划模型。该模型通过改变抗体的进化变异机制, 把规划目标嵌入到AIS 算法中, 抗体将会逐渐朝着规划目标“进化”, 从而模拟出基于不同规划情景的城市发展空间格局, 为城市和土地利用规划提供决 策支持。设计了6 种不同的城市发展方案, 利用该模型模拟了不同规划方案下珠江三角洲城市的发展情景(1988-2002 年)。并比较了不同模拟情景结果城市的紧凑性: “城市中心” 和 “城市中心-高速公路”发展模式的城市形态更为紧凑, 破碎度较低; 而“镇中心” 和“道路”发展模式形成的城市形态则比较凌乱和分散。模拟结果和分析表明: “城市中心-高速 公路”是珠江三角洲最适合的城市发展模式。     

Representing geographical objects with scale‐induced indeterminate boundaries: A neural network‐based data model

The degree of uncertainty of many geographical objects has long been known to be in intimate relation with the scale of its observation and representation. Yet, the explicit consideration of scaling operations when modeling uncertainty is rarely found. In this study, a neural network‐based data model was investigated for representing geographical objects with scale‐induced indeterminate boundaries. Two types of neural units, combined with two types of activation function, comprise the processing core of the model, where the activation function can model either hard or soft transition zones. The construction of complex fuzzy regions, as well as lines and points, is discussed and illustrated with examples. It is shown how the level of detail that is apparent in the boundary at a given scale can be controlled through the degree of smoothness of each activation function. Several issues about the practical implementation of the model are discussed and indications on how to perform complex overlay operations of fuzzy maps provided. The model was illustrated through an example of representing multi‐resolution, sub‐pixel maps that are typically derived from remote sensing techniques.     

现代区域开发的矿产资源需求生命周期研究及意义

矿产资源是社会经济发展的重要物质基础，受社会经济和科学技术发展的限制，各类矿产资源的需求存在着从初始，增长，停滞和衰落的周期性变化以及明显的空间分嘏差异。     

祁连山云系云微物理结构和人工增雨催化个例模拟研究

人工影响天气的学科基础是中小尺度天气动力学与云降水物理学,需要将天气-动力-云降水物理耦合为一体。考虑到目前将天气动力学性质的基础数值模式用于人工影响天气中的问题,从数值模式动力方程、模式分辨率、云物理过程、数值求解方案、初边值条件等方面系统地探索了发展人工影响天气数值模式中一些需要重点解决、且不可忽视的特色问题,并举例对相关问题提出了解决思路和方法。期望提出的问题有助于构思更适合于人工影响天气数值模式,使数值模式功能真正向满足人工影响天气的要求靠近一步。     

碳足迹研究进展及其对低碳旅游研究的启示

旅游业不仅是气候变化的受害者,也是造成气候变化的重要原因。基于生命周期评价理论的碳足迹研究,可以对产品或服务从“摇篮”到“坟墓”的整个生命过程所排放的直接和间接的CO2量进行估算。通过整理国内外对碳足迹研究起源,碳足迹内涵,碳足迹分类,碳足迹研究理论与方法,区域碳足迹,碳足迹与贸易、碳足迹与家庭生活,碳足迹计算器,碳足迹标签等方面的研究,总结国内外在碳足迹研究上的差异,并从旅游碳足迹研究,低碳旅游政策,碳汇旅游,低碳旅游衡量标准等方面提出低碳旅游研究的启示。     

旅游地生命力理论研究

旅游地生命周期理论是阐述旅游地演化发展规律的理论,其存在价值不容否认。但以游客量、旅游收入或利润作为旅游地生命周期演化的衡量标准并不合理,而以旅游地生命力作为旅游地生命周期演化的衡量标准更为合适。基于前人在该领域的研究成果,重新对旅游地生命力进行定义,分析旅游地生命力的构成因素、特点及其与旅游地吸引力、竞争力的区别。     

Positional uncertainty in manually digitized map data

Digital map coordinates represent the locations of real world entities. As such, differences can exist between the ‘tru’ and digital database coordinates of those entities. This paper reports on a statistical characterization of positional error in manually-digitized and map-registered point data, the relative contribution of point type and operator to digitization error, and the effects of map media type on the positional uncertainty associated with registration.

Manually-digitized point data were collected by four operators from mylar and paper maps. Point locations for a number of different feature types were sampled from United States Geological Survey (USGS) 1:24 000 scale maps. Linear models were used to estimate the variance components due to among-operator, map media, point type and registration effects. The statistical distribution of signed distance deviations for manually-digitized data was leptokurtic relative to a random normal variate. Unsigned deviations averaged 0-054 mm. Squared distance deviations were not different from a Chi-square random variate. Variance components indicate that among-operator differences in positional uncertainty were large and statistically significant, while differences among point type were small and non-significant. Signed distance deviations associated with a first-order afhne followed a normal distribution. Unsigned distance deviations associated with a first-order affinc transformation averaged 0068mm, and squared distance deviations were distributed as a Chi-square. Differences in transformation accuracy were not related to type of map media.     

Artificial neural network forward modelling and inversion of electrokinetic logging data

An artificial neural network method is proposed as a computationally economic alternative to numerical simulation by the Biot theory for predicting borehole seismoelectric measurements given a set of formation properties. Borehole seismoelectric measurements are simulated using a finite element forward model, which solves the Biot equations together with an equation for the streaming potential. The results show that the neural network method successfully predicts the streaming potentials at each detector, even when the input pressures are contaminated with 10% Gaussian noise. A fast inversion methodology is subsequently developed in order to predict subsurface material properties such as porosity and permeability from streaming potential measurements. The predicted permeability and porosity results indicate that the method predictions are more accurate for the permeability predictions, with the inverted permeabilities being in excellent agreement with the actual permeabilities. This approach was finally verified by using data from a field experiment. The predicted permeability results seem to predict the basic trends in permeabilities from a packer test. As expected from synthetic results, the predicted porosity is less accurate. Investigations are also carried out to predict the zeta potential. The predicted zeta potentials are in agreement with values obtained through experimental self potential measurements.