中国中部地区技术关联对产业创新的影响研究

技术关联对地区产业创新和经济增长具有重要影响。本文从演化经济地理学认知邻近的视角出发,借助中部地区制造业企业数据和专利数据,运用技术关联分析方法,探究制造业四位数行业技术关联对产业创新的影响机制。结果表明：随着时间的推移,技术关联对创新能力较弱的中部地区产业创新的促进作用越来越强;对于资源型产业集中、经济发展前景不佳的山西省而言,技术关联的作用并不显著;技术关联对其他五省制造业创新具有正向作用,呈现中间强南北弱的空间格局;从产业门类看,技术关联对技术密集型产业创新促进作用最强,劳动密集型产业次之,资源密集型产业靠后,资本密集型产业最弱。     

低温对不同规格刺参幼参生长与耗氧率的影响

采用实验生态学方法, 选取（0.50±0.07）g（A）、（2.53±0.42）g（B）、（23.87±2.46）g（C）3 种不同规格的刺参（Apostichopus japonicus Selenta）幼参, 设置6℃（I）、8℃（II）、10℃（III）、13℃（IV）4 个不同温度处理组, 分析比较了低温对工厂...     

Characterisation and preliminary quantification of the methane reservoir in a coastal sedimentary source: San Simón Bay,Ría de Vigo,NW Spain

Ría de Vigo is a river valley flooded by the sea, with a bay (San Simón Bay) at its innermost part. The accumulation of Holocene sediment in San Simón Bay has been studied by the integration of 1) large scale high resolution seismic data, and 2) detailed geochemical analysis of a gravity core. In San Simón Bay the majority of the seismic records are obscured by acoustic turbidity which represents gassy sediments, but on records from Rande Strait it is possible to distinguish two Quaternary seismic sequences; an Upper Pleistocene sequence (SQ1) and a Holocene sequence (SQ2). Only SQ2 is recognized in San Simón Bay where it is comprised of two seismic units; the upper unit represents the HST sediment, i.e. the period of highest sea level. A gravity core taken within the gassy zone at 10 m water depth provided 3.55 m of fine-grained sediments (muds) from the youngest seismic unit (4 m thick). Geochemical analysis show high values (4 to 10%) of TOC. Sediment and porewater analyses indicate a distinct sulphate–methane transition zone (SMTZ) between 60 and 80 cm where sulphate is depleted (to <1.7 mM) and methane increases (to >0.4 mM). The top of the acoustic turbidity (the gas front) at 80 cm corresponds to the lower limit of the SMTZ. The methane cannot have been derived from the underlying metamorphic and granitic rocks, but was probably derived by microbial degradation of the organic matter in the Holocene sediments. We estimate that the sediments of the Bay contain approximately 1.8 × 10⁶ m³ of organic carbon and 275 ton of methane.     

空间同位模式支持下城市服务业关联发现及特征分析

空间同位模式分析是数据挖掘中一种常见的方法,可有效挖掘城市设施在空间位置上的关联特征,进而发现城市设施的分布规律.本文基于POI数据同位模式挖掘用来获取城市服务业空间关联结构:首先,通过邻近实例获取、同位候选模式存储与筛选,得到城市服务业二阶同位模式;然后,据此构造产业空间关联图,得到产业间的关联结构;最后,分别构造了...     

论中国西部的经济开发

本文多方面系统地分析了中国西部地区的经济态势,从生产总值、产业结构(第一产业、工业、矿产、能源,第三产业等)以及生态环境等,论述西部的经济开发。     

产业空间集聚及其效应的研究进展

产业的空间集聚是经济活动最突出的地理特征, 也是一个世界性的经济现象。产业集聚 一直是经济地理学、区域经济学、管理学等相关学科研究的主要问题之一, 特别是20 世纪90 年 代以来, 产业集聚成为经济学和地理学的热点课题。本文重点回顾了产业区位论、新产业区理论 以及新经济地理理论等对产业集聚的理论阐述。并从产业集聚的影响因素和产业集聚效应两个 方面综述了近年来国内外有关产业集聚的实证研究, 突出了要素禀赋、外部性、规模经济等在产 业集聚形成过程中的重要作用, 并指出了产业集聚形成后对产业区位、产业增长以及区域经济增 长产生的影响。最后对国内产业集聚研究现状进行了总结。     

中国地区制造业竞争力的时间变化和空间分异解析

地区制造业竞争力是地区制造业在区域之间的市场竞争中表现出来的综合实力、所提供的有效产品或服务的能力及其未来的发展潜力大小。利用构建的地区制造业竞争力评价模型,以省区为基本单元,分析了近20年来中国地区制造业竞争力的时间变化特征和空间分布格局,并对这种变化和差异的动因给与解析。研究表明,从1985年到2003年的近20年来,中国地区制造业竞争力呈现出一定的时空演化规律:①随着改革开放进程的加速和地区经济实力的提高,地区制造业的综合竞争能力普遍抬升;②中国地区制造业竞争力的地域差异明显,由东部沿海向中、西部内陆逐渐递减,且差距随时间的推移呈扩大趋势;③地区制造业竞争力与其驱动因素关系密切。驱动因素的时空分布格局决定了地区制造业竞争力的时间过程与空间格局演变趋向。     

Appropriate Spatial Sampling of Rainfall or Flow Simulation/Echantillonnage Spatial de la Pluie Approprié pour la Simulation D'écoulements

Abstract

The objective of this study is to find the appropriate number and location of raingauges for a river basin for flow simulation by using statistical analyses and hydrological modelling. First, a statistical method is used to identify the appropriate number of raingauges. Herein the effect of the number of raingauges on the cross-correlation coefficient between areally averaged rainfall and discharge is investigated. Second, a lumped HBV model is used to investigate the effect of the number of raingauges on hydrological modelling performance. The Qingjiang River basin with 26 raingauges in China is used for a case study. The results show that both cross-correlation coefficient and modelling performance increase hyperbolically, and level off after five raingauges (therefore identified to be the appropriate number of rain-gauges) for this basin. The geographical locations of raingauges which give the best and worst hydrological modelling performance are identified, which shows that there is a strong dependence on the local geographical and climatic patterns.     

Fuzzy Optimization Neural Network Approach for Ice Forecast in the Inner Mongolia Reach of the Yellow River/Approche d'Optimisation Floue de Réseau de Neurones pour la Prévision de la Glace Dans le Tronçon de Mongolie Intérieure du Fleuve Jaune

Abstract

In ice forecasting, a key problem is the forecast of freeze-up and break-up dates. Ice-water mechanics and the principle of heat-exchange were mainly adopted in previous research. However, the mathematical models in these studies are complex and many parameters are required in relation to upstream and/or downstream gauging stations. Moreover, too many assumptions or simplifications for these parameters and constraints directly lead to low accuracy of the models and limitations as to their practical applications. This paper develops a fuzzy optimization neural network approach for the forecast of freeze-up date and break-up date. The Inner Mongolia reach lies in the top north of the Yellow River, China. Almost every year ice floods occur because of its special geographical location, hydrometeorological conditions and river course characteristics. Therefore, it is of particular importance for ice flood prevention to forecast freeze-up date and break-up date accurately. A case study in this region shows that the proposed methodology may allow obtaining useful results.