南京市内部旅游客流空间测度与模拟   总被引：2，自引：0，他引：2  

杨兴柱  顾朝林  王群  卢松 《地理科学》2011,31(7):802-809

将传统分析方法与空间数据分析方法相结合,建立空间数据模型,采用Surfer动态图,实态模拟南京旅游客流空间分布格局。研究发现:①南京市内部旅游流位序—规模分布非常典型。流量规模参数|q|大于1,但一直趋于减小,说明极化作用、不均衡发展仍是旅游流空间格局演变中主要特征。②南京市旅游流呈现显著的空间集聚特征。1995~2005年间,全局Moran’sI指数有一定的波动,1995年Moran’sI最小,2001年后,全局Moran’sI快速扩大。城市内部旅游流空间关联程度逐渐增强,局域范围内具有强烈的空间自相关特征。Local Moran’sI显著性检验表明,南京旅游流在局域范围内具有强烈的空间自相关特征。“高高”象限由1995年4个增至2005年8个;“低高”象限由1995年2个增至2005年8个,而“高低”象限变化不明显。③通过R型和Q型因子分析,识别了4个重要的旅游集聚场和扩散场,但首级集聚场和扩散场强度非常大。首级核旅游吸引力具有较广的吸引范围,且吸引景区级别较高。其它3个核吸引范围呈现分片区特征。扩散场分布相对均衡且“大分散、小集聚”。④根据研究结果构建了南京城市内部旅游流空间变化模式。20世纪90年代中期以来,南京市内部旅游流空间变化模式呈现出空间层次性、动态变化性特征。旅游流空间分布呈现从少数旅游节点向多数旅游节点转变,旅游节点体系逐渐发育成熟。  相似文献   

全球化与重建国家城市体系设想   总被引：23，自引：5，他引：18  

顾朝林  陈璐  丁睿  李震  代媚媚 《地理科学》2005,25(6):641-654

中国城市体系在城市化发展过程中为国家创造和聚集了巨大的物质和精神财富,尤其改革开放以来,国家城市体系发展很快。“十一五”期间,中国要参与经济全球化,并在国际经济中占有相对重要的地位,国家城市体系建设具有特别重要的意义。从全球化影响入手,就国家城市体系重建,例如城市体系发展战略、城市等级规模分布、城市体系功能重组、城市体系空间格局以及城市体系支撑系统进行研究。  相似文献   

Analysis of space–time patterns of rainfall events during 1996–2008 in Yilan County (Taiwan)     

Yu  Hwa-Lung  Chen  Bo-Lin  Chiu  Chuan-Hung  Lu  Mong-Ming  Tung  Ching-pin 《Stochastic Environmental Research and Risk Assessment (SERRA)》2015,29(3):929-945

Stochastic Environmental Research and Risk Assessment - Understanding local precipitation patterns is essential to water resource management and flood mitigation. Precipitation patterns can vary in...  相似文献   

Spatial and Temporal Changes of Groundwater Level Induced by Thrust Faulting     

Yeeping Chia  Jessie J. Chiu  Yi-Hsuan Chiang  Tsai-Ping Lee  Chen-Wuing Liu 《Pure and Applied Geophysics》2008,165(1):5-16

Changes of groundwater level, ranging from a fall of 11.10 m to a rise of 7.42 m, induced by thrust faulting during the 1999 M_w 7.6, Chi-Chi earthquake have been recorded in 276 monitoring wells in Taiwan. Most coseismic falls appeared near the seismogenic fault as well as other active faults, while coseismic rises prevailed away from the fault. Coseismic groundwater level rises and falls correlated fairly well with hypocentral distance in the vicinity of the thrust fault. We found a major difference of coseismic changes in wells of different depths at most multiple-well stations. The recovery process of coseismic groundwater level changes is associated with the confining condition of the aquifer. Cross-formational flow is likely to play an important role in groundwater level changes after the earthquake. In the hanging wall of the thrust fault, an abnormal decline of groundwater level was observed immediately before the earthquake. The underlying mechanism of the unique preseismic change warrants further investigation.  相似文献   

Space Telescope Astrometry from CCD images     

Liang-Tai George Chiu 《Celestial Mechanics and Dynamical Astronomy》1980,22(2):191-196

The astrometric application of the Wide Field Camera and the Planetary Camera is reviewed. It is shown that the digital image centering algorithms can yield a positional accuracy of 0.1 milli-arcsecond. Deconvolution of CCD's sensitivity, non-flatness of the filters, and crinkling of the CCD surface may limit the positional accuracy to 1 milli-arcsecond.Presented at the Symposium Star Catalogues, Positional Astronomy and Celestial Mechanics, held in honor of Paul Herget at the U.S. Naval Observatory, Washington, November 30, 1978.  相似文献   

Contextualizing the Emergence of New Chinatowns: An Introduction     

Chiu?M.?LukEmail author 《GeoJournal》2005,64(1):1-6

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On the oscillations of the atmosphere     

Wan-cheng Chiu 《Meteorology and Atmospheric Physics》1952,5(3):280-303

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Characterization of clastic rock using a biconcave bond model of DEM          下载免费PDF全文

C.‐C. Chiu  M.‐C. Weng  T.‐H. Huang 《国际地质力学数值与分析法杂志》2017,41(3):422-441

This paper presents a biconcave bond model to investigate the effect of the cementation between grains on the mechanical behavior of rock. The proposed model considers the shape of the bonds among particles that have a biconcave cement form, based on observations of microscopic rock images. The general equations of the proposed model are based on Dvorkin theory. The accuracy and efficiency of the bond model is improved in three ways. After the biconcave bond model is implemented in the discrete element method software Particle Flow Code in 2 Dimensions, a series of numerical uniaxial compression tests were performed to investigate the relationships between the micro‐ to macro‐parameters. The simulations revealed that the biconcave bond model reflects the effect of micro‐parameters, such as the elastic modulus and Poisson's ratio of the cement, on the macroscopic deformation of cemented granular material. Variations in the bond geometry caused extremely diverse macro‐mechanical behaviors. Experimental results concerning rock demonstrate that the biconcave bond model accurately captures the mechanical behavior of intact rock and supports an innovative method for investigating the relationships between the micro‐ and macro‐parameters of cemented granular material. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   

The strategy of building a flood forecast model by neuro‐fuzzy network     

Shen‐Hsien Chen  Yong‐Huang Lin  Li‐Chiu Chang  Fi‐John Chang 《水文研究》2006,20(7):1525-1540

A methodology is proposed for constructing a flood forecast model using the adaptive neuro‐fuzzy inference system (ANFIS). This is based on a self‐organizing rule‐base generator, a feedforward network, and fuzzy control arithmetic. Given the rainfall‐runoff patterns, ANFIS could systematically and effectively construct flood forecast models. The precipitation and flow data sets of the Choshui River in central Taiwan are analysed to identify the useful input variables and then the forecasting model can be self‐constructed through ANFIS. The analysis results suggest that the persistent effect and upstream flow information are the key effects for modelling the flood forecast, and the watershed's average rainfall provides further information and enhances the accuracy of the model performance. For the purpose of comparison, the commonly used back‐propagation neural network (BPNN) is also examined. The forecast results demonstrate that ANFIS is superior to the BPNN, and ANFIS can effectively and reliably construct an accurate flood forecast model. Copyright © 2005 John Wiley & Sons, Ltd.  相似文献   

A two‐step‐ahead recurrent neural network for stream‐flow forecasting     

Li‐Chiu Chang  Fi‐John Chang  Yen‐Ming Chiang 《水文研究》2004,18(1):81-92

In many engineering problems, such as flood warning systems, accurate multistep‐ahead prediction is critically important. The main purpose of this study was to derive an algorithm for two‐step‐ahead forecasting based on a real‐time recurrent learning (RTRL) neural network that has been demonstrated as best suited for real‐time application in various problems. To evaluate the properties of the developed two‐step‐ahead RTRL algorithm, we first compared its predictive ability with least‐square estimated autoregressive moving average with exogenous inputs (ARMAX) models on several synthetic time‐series. Our results demonstrate that the developed two‐step‐ahead RTRL network has efficient ability to learn and has comparable accuracy for time‐series prediction as the refitted ARMAX models. We then investigated the two‐step‐ahead RTRL network by using the rainfall–runoff data of the Da‐Chia River in Taiwan. The results show that the developed algorithm can be successfully applied with high accuracy for two‐step‐ahead real‐time stream‐flow forecasting. Copyright © 2003 John Wiley & Sons, Ltd.  相似文献