基于神经网络的单元自动机CA及真实和忧化的城市模拟

提出了一种基于神经网络的单元自动机（ＣＡ）。ＣＡ已被越来越多地应用在城市及其它地理现象的模拟中。ＣＡ模拟所碰到的最大问题是如何确定模型的结构和参数。模拟真实的城市涉及到使用许多空间变量和参数。当模型较复杂时，很难确定模型的参数值。本模型的结构较简单，模型的参数能通过对神经网络的训练来自动获取。分析表明，所提出的方法能获得更高的模拟精度，并能大大缩短寻找参数所需要的时间。通过筛选训练数据，本模型还可以进行优化的城市模拟，为城市规划提供参考依据。     

Statistical characteristics of chlorophyll-a concentration in Hong Kong′s coastal waters

In this paper seven of the ten Water Control Zones (WCZs) in Hong Kong′s coastal waters with monthly or bi-weekly sampling data of 17 parameters collected at 37 monitoring stations from 1988 to 1999 were selected to analyze the spatial and temporal variations of chlorophyll-a and its influencing factors. Cluster analysis was employed to group the monitoring stations based on the structure of the data set. Multiple step regression was employed to determine the significant influencing factors of chlorophyll-a level. The results suggest that all the monitoring stations could be grouped into two clusters. Cluster I with frequent red tide incidents comprises two WCZs which aresemi-enclosed bays. Cluster II with less red tide occurrence comprises the other five WCZs in an estuarine environment in the west. For both clusters, the organic contents indicator, BOD5, was a common significant influencing factor of the chlorophyll-a level. Nitrogen and light penetration condition related to turbidity, total volatile solids and suspended solids had more influence on the cholophyll-a level in Cluster I than in Cluster II, while phosphorus and oceanographic conditions associated with salinity, temperature, dissolved oxygen and pH were more important in Cluster II than in Cluster 1. Generally, there was a higher average chlorophyll-a level in winter and autumn in a year.The chlorophyll-a level was much higher in Cluster I than in Cluster II among all seasons. Although the chlorophyll-a concentration had great variations from place to place in Hong Kong′s coastal waters, it seemed to have a common long term fluctuation period of 8-10 years with a high-low-high variation in the period in the whole region, which might be influenced by other factors of global scale.     

Pauperizing the pastoral periphery: the marginalization of herding communities in the world's dry lands

Environmental degradation and other socio-economic problems are too often discerned in contemporary pastoral systems in the wake of global economic change. This paper identifies cases where pastoral people respond to external pressures and opportunities in positive ways and adapt to changes. We hope that by doing this a framework of pastoral adaptations can be developed. The first part of this paper focuses on impacts of global economic change, which are mostly negative in nature. Through an extensive literature search in geography, anthropology, range management, and development field, the second part introduces cases that we categorize as positive adaptations.     

Wetland vegetation biomass estimation and mapping from Landsat ETM data:a case study of Poyang Lake

Poyang Lake is the largest freshwater lake in China. This paper conducted a digital and rapid investigation of the lake’s wetland vegetation biomass using Landsat ETM data acquired on April 16, 2000. First, utilizing the false color composite derived from the ETM data as one of the main references, the authors designed a reasonable sampling route for field measurement of the biomass, and carried it out on April 18-28, 2000. Then after both the sampling data and the ETM data were geometrically corrected to an equal-area projection of Albers, linear relationships among the sampling data and some transformed data derived from the ETM data and the ETM 4 were calculated. The results show that the sampling data is best relative to the band 4 data with a high correlation coefficient of 0.86, followed by the DVI and NDVI data with 0.83 and 0.80 respectively. Therefore, a linear regression model, which was based on the field data and band 4 data, was used to estimate the total biomass of entire Poyang Lake, and then the map of the biomass distribution was compiled.     

长白山自然保护区旅游灾害及其防治对策

旅游灾害越来越受到人们的重视,文章通过对长白山自然保护区常见灾害类型的分析,建立了灾害管理系 统框架模型,为降低和消除旅游灾害,提出了防范对策。     

大河三角洲河口海岸演化机理模型研究:(II)模型构建与实证

本文以z坐标下的三维斜压海洋动力学数值模式为基本模式原型 ,在整理渤海基本数据并诊断计算风生环流和热盐环流作为背景环流场基础上 ,初步建立了渤海海域动力环境数值模式。模式采用了经校正的Bagnold型方程来计算渤海底移质沉积物输运 ,悬移质计算则是取二维深度平均悬移质输运方程和河床变形方程 ,计算含沙量分布以及由悬移物引起的冲淤厚度。利用这种方法建立的沉积物输运模式 ,定量模拟了渤海沿岸和海底的沉积物输运方向和冲淤分布。模拟结果与通过多年实测水深估算获得的渤海海底沉积物的冲淤变化分布相比较 ,两者之间在基本结论上是比较一致的     

基于农用地价格体系的征用地价应用研究

农用地价格体系和估价成果应用是当前农用地定级估价工作的难点和争论焦点，该文提出了农用地价格体系应以资源基准地价为基础，通过一系列修正，得出分级分区的征用基准地价、不转变用途的农地流转价、转变用途的农地转用价；以佛山市南海区的农用地估价成果为例，就其与现行征地补偿标准进行了比较，并与南海城区、广州市区城镇建设用地基准地价的相互衔接性进行了验算，应用成本逆推法，从城镇基准地价导出建设用地生地地价，在内涵一致的条件下相互比较。结果表明，按此地价体系建立的农用地征用价能够与城镇地价相衔接，可为城乡地价一体化的建立提供实证。     

两湖平原农业洪害特征与减灾技术措施

两湖平原是我国农业水资源最丰富的地区之一，河湖水系四通八达，农业生产条件优越。由于人类不适当的经济活动，大规模围湖垦殖破坏了两湖平原自然生态环境，洪涝频繁发生，农业损失严重。两湖平原必须实施综合性的农业减灾技术措施：长江上中游地区实施退耕还林、全面启动天然林保护工程，保持水土；两湖地区实行退田还湖，提高湖泊分蓄洪能力；应用GPS、GIS技术预警，有效调度洪水；调整湖区农业结构，发展避洪农业。     

新疆城市化过程及机制分析

城市人则城市化研究的核心问题。在分析新疆城市化现状特征的基础上，围绕新疆城市发展的阶段和过程，采用多因素的灰色关联分析和比较分析等手段，对新疆1978－2000年间城市化发展过程进行分析和探讨，寻求并探索新疆城市化发展的特征、水平和演化机制。研究结果发现各因素与城市化的关联度不仅在横向上存在着指标间的差异，在纵向上显示出1990－2000间各指标与城市化的相关性明显高于1978－1989年间，部分指标与城市化关系发生了负向变化。表明近20多年来新疆城市化稳定发展，城市化系统条件（农村和城市的控制性次系统及整个社会经济文化）有一定的提高，体现了系统各因素与城市化发展的同向性以及区域发展的合理趋势，但整体薄弱的社会经济基础是新疆城市化落后的根本原因，产业结构升级转换仍将是新疆城市化的主要动力。     

新疆入境旅游市场竞争态分析

提出旅游业市场竞争态模型，运用此模型可以定量分析、对比旅游市场的现实竞争状态，在此基础上，进行市场研究，确定本地区在旅游高超中的地位，明确现在和未来市场竞争的优势和劣势，为地区旅游业发展规划提供参考依据。应用这一模型，分析了新疆入境旅游的客源市场竞争态及省内各地区目的地市场竞争态。