湖北电网特殊区域信息管理系统的建设

湖北电网特殊区域信息管理系统,以基础地理信息数据为基础,以数据库技术和可视化技术为支撑,直观形象地展示湖北电网特殊区域空间分布与特征,实现各类信息的储存、查询、建模、分析、评价等多项功能,为电网规划和电网防灾减灾提供决策依据。     

数字柳州地理空间框架应用推广探索与实践

地理空间框架是数字城市乃至智慧城市建设的重要基础,其应用推广的好坏关系到系统能否长效运行,是重中之重。本文以数字柳州地理空间框架为例,分析应用推广的现状与存在的问题,探索应用推广的模式,总结应用推广的内容与方法,并结合柳州实际情况进行了实践,搭建了教育学区专题应用、存量房价格认证服务平台、人口电子地图管理系统、三维土地供应系统,并与数字化城市管理系统实现了对接,同时在公众网搭建了地理信息公众服务系统。     

Compact,concurrent, and contiguous: smart growth and 50 years of residential planning in the Toronto region

In this article, we use parcel-based land-use data to analyze 50 years of residential development in the Toronto region. We test two hypotheses: (1) Toronto’s form does not conform to conventional definitions of suburban sprawl and (2) Toronto’s suburban development shows high levels of continuity over time with relatively high densities and mixed housing types. Contrary to recent research suggesting a convergence of urban forms among North American metropolitan regions, Ontario’s robust planning system has created a distinctive, highly consistent pattern of residential development that has, for half a century, achieved many of the core goals of smart growth including relatively compact, contiguous, and concurrent development. This form continues to be automobile dependent, however, and is not producing many of the benefits ascribed to smart growth. Rather than continuing to adopt United States-inspired smart growth policies, a more ambitious set of initiatives will be required to address current regional challenges.     

利用砂体叠加部署聪明井提高勘探开发效果

通过相应属性的叠加可提高油气勘探开发的分析效果,减少投资风险。在勘探中采用精细沉积微相分析技术,通过对勘探目标区各小层沉积微相分析,编制各层的砂体分布图,提取各层砂体中主力砂体,编制小层主力砂体的叠加图;通过对叠加图分析,确定优势储层分布区域,进行成藏风险评价,提高了布井效果。而在油田开发调整中,通过对各单层进行精细沉积微相分析,确定其平面分布特征,结合各成因砂体的控制和动用程度,确定成因砂体内的剩余油分布情况,进而确定剩余油富集砂体,并制作剩余油富集砂体叠加图,据此以成因砂体为单元部署高效聪明调整井,提高了油田的采收率和开发效果。     

Design approaches for active, semi-active and passive control systems based on analysis of characteristics of active control force

In this paper,the characteristics of forces in active control systems connected to adjacent levels of a building are analyzed.The following characteristics are observed:(1) active control can provide signifi cantly superior supplemental damping to a building,but causes a small frequency shift;(2) the linear quadratic regulator(LQR)-based control force is composed of an elastic restoring force component and a damping force component,where the damping force is almost identical to the total control force,howev...     

顾及地理-语义动态的城市热点预测框架

城市热点时空预测是城市管理和智慧城市建设的一项长期而富有挑战性的任务。准确地进行城市热点时空预测可以提高城市规划、调度和安全保障能力并降低资源消耗。现有的区域级深度时空预测方法主要利用基于地理网格的图像、给定的网络结构或额外的数据来获取时空动态。通过从原始数据中挖掘出潜在的自语义信息,并将其与基于地理空间的网格图像融合,也可以提高时空预测的性能,基于此,本文提出了一种新的深度学习方法地理语义集成神经网络(GSEN),将地理预测神经网络和语义预测神经网络相叠加。GSEN模型综合了预测递归神经网络(PredRNN)、图卷积预测递归神经网络(GCPredRNN)和集成层的结构,从不同的角度捕捉时空动态。并且该模型还可以与现实世界中一些潜在的高层动态进行关联,而不需要任何额外的数据。最终在3个不同领域的实际数据集上对本文提出的模型进行了评估,均取得了很好的预测效果,实验结果表明GSEN模型在不同城市热点时空预测任务中的推广性和有效性,利用该模型可以更好地进行城市热点时空预测,解决一系列如犯罪、火灾、网约车预订等等现代城市发展中亟需解决的相关问题。     

露天铁矿禀赋优势等级划分和合理矿业税费的研究

利用自组织神经网络，对我国主要露天铁矿进行了禀赋优势等级划分。权利金大小的确定，应以铁矿资源的资产评估为基础，资产评估时合理成本的取值应是评估矿山所在同一等级矿山的平均成本。矿产资源的原有价值是权利金征收的对象。最后以歪头山为实例，计算了铁矿资源的原有价值和权利金。结果表明，目前对歪头山铁矿征收的税费仍然偏高。     

基于云计算的智慧唐山时空信息平台数据库构建

随着云计算技术的不断发展,大数据与信息化时代的优势越来越突出,应用越来越广泛。时空信息平台作为智慧城市建设的重要内容,管理海量基础地理信息数据,是智慧城市建设的基础。因此,海量数据的管理成为时空信息平台设计的关键。以智慧唐山建设为例,结合云计算技术,探讨时空信息平台数据库的构建,针对云平台基础地理信息数据体系、云平台数据库体系架构以及云平台数据库管理系统等方面进行设计,明确基于云计算时空信息平台数据库建设内容,探讨适用于智慧城市建设的时空信息云平台解决方案。     

基于众包模式的智慧城市时空信息云平台构建研究

智慧城市建设是拓展城市综合承载能力、促进城市转型升级发展的重要途径,时空信息云平台是智慧城市建设的重要基础设施,为城市大数据的发掘、应用提供时空化承载。借鉴互联网商业的众包理念建设智慧城市时空信息云平台,将有助于满足城市发展的现实需求,解决城市治理的主要问题。     

The (ir)relevance of transaction costs in climate policy instrument choice: an analysis of the EU and the US

This article assesses the relevance of ex post transaction costs in the choice of climate policy instruments in the EU (focusing mainly on the example of Germany) and the US. It reviews all publicly available empirical ex post transaction cost studies of climate policy instruments broken down by the main private and public sector cost factors and offers hypotheses on how these factors may scale depending on instrument design and other contextual factors. The key finding from the evaluated schemes is that it is possible to reject the hypothesis that asymmetries in ex post transaction costs across instruments are large and, thus, play a pivotal role in climate policy instrument choice. Both total and relative ex post transaction costs can be considered low. This conjecture differs from the experience in other areas of environmental policy instruments where high total transaction costs are considered to be important factors in the overall assessment of optimal environmental policy choice. Against this background, the main claim of this article is that in climate policy instrument choice, ex post transaction cost considerations play a minor role in large countries that feature similar institutional characteristics as the EU and the US. Rather, the focus should be on the efficiency properties of instruments for incentivizing abatement, as well as equity and political economy considerations (and other societally relevant objectives). In order to inform transaction cost considerations in climate policy instrument choice in countries that adopt new climate policies, more data would be desirable in order to enable more robust estimates of design- and context-specific transaction-cost scaling factors.

Policy relevance

The findings of this study can help inform policy makers who plan to set up novel climate policy instruments. The results indicate that ex post transaction costs play a minor role for large countries that feature similar institutional characteristics as the EU and the US. For instrument design the focus should rather be on efficiency properties of instruments in incentivizing abatement, as well as equity and political economy considerations (and other societally relevant objectives).