Black Holes and Loose Connections in a Global Urban Network

This paper introduces the concept of black holes and loose connections in a global urban hierarchy. Black holes are defined as large cities, with a population of over 3 million, that are not classified as world cities. The paper draws upon a classification that uses advanced producer services as an indicator of world city status. Large, nonworld cities are identified, and provisional ideas about explaining their position are outlined. Connectivity and population data are used in a simple regression analysis to identify loose connections: cities whose connectivity is less than that predicted by their population.     

Regional accessibility of land traffic network in the Yangtze River Delta

In a given district, the accessibility of any point should be the synthetically evalua-tion of the internal and external accessibilities. Using MapX component and Delphi, the author presents an information system to calculate and analyze regional accessibility according to the shortest travel time, generating thus a mark diffusing figure. Based on land traffic network, this paper assesses the present and the future regional accessibilities of sixteen major cities in the Yangtze River Delta. The result shows that the regional accessibility of the Yangtze River Delta presents a fan with Shanghai as its core. The top two most accessible cities are Shanghai and Jiaxing, and the bottom two ones are Taizhou (Zhejiang province) and Nantong. With the construction of Sutong Bridge, Hangzhouwan Bridge and Zhoushan Bridge, the re-gional internal accessibility of all cities will be improved. Especially for Shaoxing, Ningbo and Taizhou (Jiangsu province), the regional internal accessibility will be decreased by one hour, and other cities will be shortened by about 25 minutes averagely. As the construction of Yangkou Harbor in Nantong, the regional external accessibility of the harbor cities in Jiangsu province will be speeded up by about one hour.     

基于Householder矩阵和Butterworth滤波器组的反馈延迟网络人工混响

针对现有人工混响方法中反馈延迟网络方法存在延迟线的个数选择受限和无法设定子带混响时间的不足,本文设计了一种基于Householder反馈矩阵和Butterworth滤波器组的反馈延迟网络人工混响器.Householder反馈矩阵有助于最大化回声密度,延迟线个数的选择相对自由,Butterworth滤波器组便于设定子带混响时间.仿真实验中分别利用语谱图、语音质量感知评价和主观评价验证了本文方法的有效性.     

探空仪湿度测量误差研究现状及其对云识别的影响

云在地球系统能量平衡和水循环中扮演着至关重要的作用,其特征的准确获取对于理解大气物理过程、改进天气和气候模拟具有重要意义。地基云遥感反演是了解云特征、评估卫星云观测能力的重要手段。自20世纪80年代以来,地基云遥感反演获得快速发展,各种地基云遥感反演方法涌现,在2010年前后达到一个相对瓶颈期,已有的地基云遥感反演方法有几十种之多。从遥感手段上来说,地基云遥感包括主动遥感和被动遥感。从遥感对象上来说,地基云遥感包括宏观特征遥感反演和微观特征遥感反演。就宏观特征来说,可以分为三个类别：云识别或云量的探测方法、云边界的确定方法以及云相态的反演方法。就微观特征来说,地基云遥感反演方法基本分为两大类型,最优化求解法和经验参数化方法。任何一种云遥感反演方法都有其相对优势和不足,对其进行b了总结归纳,论述地基云遥感反演的进展。不同地基云遥感反演产品直接存在着巨大差异,远大于单个遥感反演方法所给定的不确定性信息,表明现有地基云遥感反演仍然存在巨大挑战,归纳提出了云遥感反演中存在的若干挑战,以期为未来云遥感的发展提供了方向参考。

     

基于VLF/LF三维闪电监测定位系统的北京闪电特征分析

基于定位方式、电流强度和归闪标准三个方面对2016—2018年湖北省ADTD二维闪电定位网和VLF/LF三维闪电定位网的闪击数据进行了质控,并讨论了不同质控方法的差异,结果显示三维闪电定位网的探测灵敏度和探测效率显著高于二维闪电定位网,前者探测到的闪击总数约为后者的2.3倍,且能探测到更多弱的正闪击,闪电强度也更为集中。与此同时,对质控后的地闪数据的时间、空间和强度分布特征进行了对比分析,结果显示两套闪电定位网的负地闪日分布、月分布、地闪密度分布等变化特征相似;正地闪存在一定差异：二维闪电定位网的日分布和三维闪电定位网的月分布呈单峰分布特征,而二维闪电定位网的月分布和三维闪电定位网的日分布则呈双峰变化特征。总体而言,质控后的地闪数据与湖北省雷电日数的月分布以及闪电密度的地域分布均相符,表明相关质控方法是合理有效的。

     

Spatial patterns of retail activity and street network structure in new and traditional Israeli cities

The association between spatial patterns of retail activity and the spatial configuration of street networks was examined by means of the space syntax methodology in eight Israeli cities that represent two city types, characterized by different planning approaches and urban growth: (i) new towns, which were established according to a comprehensive city plan and modern planning concepts of “tree-like” hierarchical street networks and “neighborhood units”; (ii) older cities, where street networks and the spatial patterns of retail activity were formed incrementally during their growth. Unlike in older cities, retail activity in new towns concentrates in relatively less-accessible and intermediate locations. This is indicated by a weak correlation between retail activity and the street network’s Integration and Choice centrality measures. The comparison between Israeli cities illustrates the influence of urban growth and planning approaches on the formation of retail activity and its interaction with the structure of the street network.     

Effects of Poplar Plantations on the Physical and Chemical Properties of Soils: A Case Study in the North China Plain

In recent years, large areas of farmland in the North China Plain have been converted into short-rotation poplar plantations. To analyze the impacts of poplar plantations on soil, 22 soil samples were collected and assayed from the soil profiles of a corn field and a poplar plantation. The results showed that the average soil moisture content of the soil profile in the poplar field was 2.6 percent lower than that of the arable land. The maximum difference in soil moisture content was found in the upper 0-10 cm of topsoil. Soil organic matter and nitrogen, phosphorus and potassium in the cornfield were significantly higher than in the poplar field. Higher nutrient content in the corn field may result from higher fertilizer inputs and the practice of returning straw to the cropped field. The analysis also showed no significant increase in soil organic matter content in deeper soil layers of the poplar field, which means that the conditions are not favorable for the formation of soil organic matter, or that soil organic matter needs a longer time to develop. Elements such as magnesium, iron, manganese and copper in both the corn field and the poplar field had a tendency to accumulate with increasing soil depth. Magnesium, iron, manganese and copper in the 0-80 cm soil layer of the poplar field were higher than those of the cornfield, but the situation was reversed at depths greater than 80 cm. It is concluded that poplar trees consume a large amount of soil moisture and soil nutrients. Local governments should prevent the development of new plantations of fast-growing trees in farmland and help farmers to recover their farmland from forestry plantations.     

A cost path and network analysis methodology to calculate distances along a complex river network in the Peruvian Amazon

Distance is a key variable in explicating environmental, social, and economic conditions and in defining spatial and temporal patterns. Prior research has primarily focused on using simple to complex algorithms for calculating distances along road networks. In contrast, few algorithms are available for distance calculations along fluvial networks which are often more erratic, divergent and transient than road networks. Fluvial transportation is relied upon worldwide, particularly in developing regions, where communities use river networks for transportation, access to natural resources and for trade and commerce. This paper presents a methodology developed for mapping complex fluvial networks for travel distance analysis. The methodology was applied in four major river basins in western Amazonia over some 35,000 km of river length and incorporating 919 communities as origins/destinations. A cost path and network analysis methodology was created using vector and raster datasets in a Geographic Information System (GIS) to assess interactions among communities and the distances traveled by river to reach district capitals, major urban centres and marketplaces. An accuracy assessment using distance values calculated from a previous study using a different methodological approach in the region as well as Google Earth Pro, found a high degree of concordance for distance calculations. Our methodology creates a very flexible approach for complex river systems that can be use to calculate river distances in an adaptive and efficient manner and that can be use in other regions of the world where rural communities must rely on rivers for transportation.     

Simulation of urban expansion via integrating artificial neural network with Markov chain – cellular automata

Accurate simulations and predictions of urban expansion are critical to manage urbanization and explicitly address the spatiotemporal trends and distributions of urban expansion. Cellular Automata integrated Markov Chain (CA-MC) is one of the most frequently used models for this purpose. However, the urban suitability index (USI) map produced from the conventional CA-MC is either affected by human bias or cannot accurately reflect the possible nonlinear relations between driving factors and urban expansion. To overcome these limitations, a machine learning model (Artificial Neural Network, ANN) was integrated with CA-MC instead of the commonly used Analytical Hierarchy Process (AHP) and Logistic Regression (LR) CA-MC models. The ANN was optimized to create the USI map and then integrated with CA-MC to spatially allocate urban expansion cells. The validated results of kappa and fuzzy kappa simulation indicate that ANN-CA-MC outperformed other variously coupled CA-MC modelling approaches. Based on the ANN-CA-MC model, the urban area in South Auckland is predicted to expand to 1340.55 ha in 2026 at the expense of non-urban areas, mostly grassland and open-bare land. Most of the future expansion will take place within the planned new urban growth zone.     

从全球生产网络到全球金融网络：理解全球-地方经济联系的新框架

全球化带来的新国际劳动分工使全球生产网络(Global Production Network, GPN)成为研究全球经济与区域发展的重要框架。与此同时,金融在现代社会经济运行中的地位日益提升,经济金融化在全球不同尺度下深刻影响着经济活动的空间分布和网络。因此,金融已经成为GPN研究不能忽略的重要环节。更重要的是,金融化带来的逻辑也日益深刻地影响到GPN的演化和运行。尽管GPN研究日益重视金融的作用,并开始研究金融业的全球生产网络,但是随着越来越多的企业通过获得国际股权投资或者在境外资本市场上市等方式融入全球资本市场,主要从生产角度理解地方经济融入全球过程的GPN难以对该现象深入分析。全球金融网络(Global Financial Network, GFN)为刻画和分析这个过程提供了新的框架。在这个分析框架中,地方经济体通过高级商业服务业(Advanced Business Service, ABS)企业与世界城市(国际金融中心)和离岸管辖区产生联系,从而融入GFN。论文介绍了GFN的基本结构,探讨了地方经济融入GFN的主要方式及其产生的影响。最后,提出GFN未来在理论和实证方面可继续深入研究的方向。