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1.
京津冀都市圈人口集疏过程与空间格局分析   总被引:4,自引:0,他引:4  
人口集疏过程及其空间格局变化是人口空间分布最直观的表现。以1982-2010年4期人口普查数据为基础,采用人口总量和人口密度指标,结合人口增减变化分级、人口商度等方法,定量分析了京津冀都市圈人口集疏过程及其空间格局变化。研究表明:近30年来,京津冀都市圈人口总量呈现持续增长趋势,人口空间分布日益不均衡,区域人口分布存在明显的南北、东西差异;人口增加是主要特征,人口集聚效应凸显,人口增加地区的县域单元比例在80%以上,以人口显著增加为主;人口减少只是零星分布,人口减少地区的县域单元比例占不到20%;人口流动比较频繁,以人口流入为主,主要流向北京、天津和河北的市辖区,人口流出地区仅是散落分布在张家口和承德的山区贫困县域;无论从静态人口指标还是动态人口分析方法,都表明京津冀都市圈人口地域集疏特征十分明显,已形成以北京、天津、石家庄为中心,其他地市(县域)人口分别向外依次扩展的人口多中心分布的圈层结构。  相似文献   
2.
刘骁啸  吴康 《地理科学进展》2020,39(12):1972-1984
非首都功能疏解作为京津冀协同发展战略的核心,对解决北京大城市病、实现京津冀可持续发展具有重要意义。论文构建了一个“四位一体”的产业投资网络演化分析框架,以京津冀中部核心区为研究对象,利用工商企业投资大数据测度了非首都功能的3类重点行业在2010、2014、2018年的资本流动特征,并从“节点—路径—格局”3个层面分析了功能疏解背景下产业投资网络演化过程。研究结果表明,非首都功能疏解背景下,北京市各行业对外投资增强,投资集聚中心逐渐向外围转移,但不同行业演化格局存在差异。制造业呈现由邻近扩散向等级扩散转变的演化路径,并向着多中心格局发展;批发零售业在资本净流动层面显示出扩散特征,在骨干路径层面呈现集聚现象,分布格局由北京单极放射状向京津双核联动演化;交通运输仓储和物流业向郊区物流园区所在地集聚,但网络整体发育滞后。研究结果能够为科学认识首都功能疏解情况、了解中部核心区产业结构及产业发展的变动态势提供参考。  相似文献   
3.
京津冀协同治理的回顾与前瞻   总被引:1,自引:0,他引:1  
京津冀区域治理是伴随三地协作发展的进程,从政府层面的管制转向各利益主体协调治理,从自上而下的竞争合作转向上下结合的协同合作的一系列有效应对举措。经过30多年的努力,学界和政府部门已经形成了较为丰富的京津冀区域治理研究成果。通过梳理自1984年以来相关区域的研究,尝试从时空维度厘清京津冀区域治理的研究脉络及其变化,剖析目前京津冀区域治理所涉及的治理模式、协调体系、以及形成的发展策略,为改进和提高京津冀区域治理效果提供参考。京津冀协同治理过程是学术界与政府的互动融合过程,其中政府的作用居主导地位。未来将在治理主体、治理机制、治理效果评价和文化、医疗、养老等领域的协调发展方面得到深化和细化。  相似文献   
4.
Sun  Wei  Li  Qihang  Li  Bo 《地理学报(英文版)》2019,29(12):1965-1980
Journal of Geographical Sciences - As information technology has been applied more broadly and transportation infrastructure has improved, persistent debate has existed as to the question of...  相似文献   
5.
Beijing, Tianjin and Hebei each contributed to the comprehensive governance of bulk coal to treat bulk coal pollution in a mutually beneficial way in 2017. The cooperative game theory is used in this paper to study the environmental benefits and cost effectiveness brought about by this comprehensive governance strategy, primarily focusing on the issue of how to maximize the environmental benefits by choosing an appropriate strategy since the benefits to Beijing, Tianjin and Hebei are closely related. Therefore, the linear optimization, game theory and Shapley value method in the cooperative game model are used to find the ways to minimize the total governance cost of bulk coal in the three areas. In addition, the issues of how to carry out rational distribution and transfer of governance capital among the three places are explored according to the actual amounts of consumption of bulk coal, the influence of the coal burning on the PM2.5 and the actual cost of coal governance in Beijing, Tianjin and Hebei in 2017. The results show that the governance task in Hebei Province is the most onerous, and requires more investment than the other two cities. Thus, it requires the support from other two cities, with the amount of increased capital required of about 600 million Yuan. At the same time, the cost saved after optimization in Tianjin is calculated to be the largest, which thus can be adjusted appropriately and allocated to Hebei for the governance of bulk coal. The model constructed in this paper can not only be used to solve the issues related to bulk coal consumption in Beijing, Tianjin and Hebei, but also to carry out the effective distribution of capital, by which a win-win scenario among the three places can be achieved.  相似文献   
6.
京津冀地区植被时空动态及定量归因   总被引:2,自引:0,他引:2  
作为气候变化的敏感指示器,植被的物候、生长、空间分布格局等特征及其动态变化主要取决于气候环境中的水热条件,因此在气候变化背景下,气候-植被关系成为了全球变化研究的前沿和热点问题。本文综合平均温度、降水、水汽压、湿度、日照时数、SPEI等气候因子,坡度、坡向海拔等地形因子及人为活动因子,应用地理探测器方法针对2006-2015年京津冀地区不同季节NDVI、不同地貌类型区、不同植被类型区生长季NDVI的定量归因研究,揭示了过去10年间植被时空分布格局,及植被对气候、非气候因素响应的季节差异与区域差异,以期为生态工程的建设与修复提供参考意义。趋势分析表明:①2006-2015年京津冀地区NDVI呈现增加趋势,但存在显著的空间差异,如山地生长季NDVI的增长速率大于平原、台地、丘陵等地;②基于地理探测器的定量归因结果表明,降水是年尺度上NDVI空间分布的主导因子(解释力39.4%),土地利用与降水的交互作用对NDVI的影响最为明显(q=58.2%);③NDVI对气候因子的响应存在季节性及区域性差异,水汽压是春季NDVI空间分布的主导因子,湿度是夏、秋两季的主导因子,土地利用是冬季的主导因子;④影响因子对生长季NDVI的解释力因不同地貌类型区、不同植被类型区而差异显著。  相似文献   
7.
基于支持向量机的京津冀城市群热环境时空形态模拟   总被引:1,自引:0,他引:1  
城市群热环境作为区域生态重要组成部分,已成为近年来的研究热点。而如何选择针对城市群这种复杂地地貌特征的热环境量化工具一直是亟待解决的技术难点,基于此本研究提出了一种解决多样本、非线性、非平稳及高维函数拟合的计算方法,并建立了基于支持向量机(SVM)的京津冀城市群热环境曲面模型来揭示城市群热环境的时空形态变化。研究结果表明:① SVM模型在刻画多核心、多种土地利用类型城市群热环境的空间分布方面具有理论与实践可行性,能够根据热环境的整体空间布局通过高斯核函数进行局部优化差值,最大限度减少缺省值对模型拟合结果的影响。相比于对照方法可以模拟出更高精度的复杂地貌特征城市群热岛空间分布格局;② 在SVM模型曲面拟合的过程中,拟合精度和拟合时间是衡量拟合结果的重要指标,而原始影像的分辨率则是影响该指标的决定性因素;③ 2003-2013年区域内北京市与天津市的城市热岛效应变化最为明显,热岛面积分别增加7091 km2与4196 km2,空间上呈现出逐年接近连片发展趋势,热岛重心移动轨迹具有明显的时空分异性。北京城市热岛特征为东南部地区异速增长,西部地区缓慢增长;天津城市热岛特征为以城市中心为圆心向周围扩展。本研究进一步丰富了城市群热环境评测的定量方法,可以在实践上对城市群的城市规划、城市建设、环境保护和区域可持续发展等提供定量化、可视化的决策支持。  相似文献   
8.
The Beijing-Tianjin-Hebei (BTH) region is an important engine for China’s socioeconomic development. Timely and effectively assessing constraint factors of resources and environment is of great significance for the sustainability assessment and the sustainable development of this region. However, comprehensive assessment research considering key resource and environmental constraints are still lacking. In this study, therefore, the limiting factors of resources and the environment in the BTH region were assessed based on the framework of landscape sustainability science. First, we chose five limiting factors, including topographic condition, geological environment, water resource, land resource, and atmospheric environment, to assess the constraints of resources and the environment using the single-factor evaluation method and the multi-factor comprehensive evaluation method. Based on the results, we divided the whole region into five subregions, i.e., the ecological conservation subregion, the geological disaster subregion, the water resource scarcity subregion, the atmospheric pollution subregion, and the cropland protection subregion. The results revealed that the northern BTH region was highly constrained by topographic conditions, the central BTH region was strongly constrained by geological environment and water resources, whereas the southern BTH region was constrained mainly by land resources and atmospheric environment. In addition, water resource was the main limiting factor for regional population growth and economic development. In 2010, the water resource scarcity subregion had a total population of 39.59 million, an urban population of 76.90%, and a gross domestic product of 2 455.57 billion yuan. We argue that the sustainable development of the BTH region should explicitly consider the resource and environmental limiting factors, implement land use optimization according to local conditions, maintain multiple land use types and diverse management strategies, based on the perspective of “strong sustainability”, so as to promote the regional sustainable development.  相似文献   
9.
线性构造和环形构造与矿产的生成有着密切的内在联系. 在京津冀地区地质背景与矿产资料搜集的基础上,获取京津冀地区Landsat 8 OLI遥感影像,继而对遥感影像上的线性和环形构造进行遥感地质解译;并借助于ArcGIS平台对研究区内的线性构造和环形构造及其交汇部位进行缓冲区分析,根据线性、环形构造的影像特征及其与矿点的产出关系,总结出线-环形构造的控矿规律及控矿模式,为以后遥感找矿、圈定成矿远景区提供依据.  相似文献   
10.
Using the model system MM5.V3 and multi-layer grid nesting technique, we have done a multi-scale numerical simulation over the area of Beijing, Tianjin and Hebei Province to analyze the temperature and wind field there and study its local circulations. The results show a coupling effect of Urban Heat Island Circulation (UHIC), Mountain Valley Breeze (MVB) and Sea Land Breeze (SLB) occurs in this area when the synoptic system is weak. The SLB can penetrate deep into the mainland for about 200 km when it is blooming. MVB can extend to south and cover almost the whole plain area in Beijing. Both MVB and SLB are diurnal periodical; meanwhile the phase of MVB drops behind that of SLB for about six hours. As a local circulation, the UHIC weakens the two circulations above, and it also has a diurnal period. As a result, the coupling effect of circulations reveals not only different features in spring-summer period and autumn-winter period in a year but also the difference between early morning to noonday and afternoon to night in a day. We noted the diffusion of contamination over the area around Beijing, and found the steady presence of a transport routine of contamination over North-China throughout the year caused by the Coupling Effect mentioned above. This find is important for studying the environment pollution in this area. Supported by Central Public Welfare Special Fund Program for the Institute and Higher Education (Grant No. IUMKY200701), Public Welfare Special Fund Program (Meteorology) of China Scientific and Technological Ministry (Grant Nos. CYHY20080620, CYHY200706004), Spread New Technology Program of China Meteorological Administration (Grant No. CMATG2007M15) and Urban Meteorology Scientific Research Fund Program of the Institute of Beijing Urban Meteorology, China Meteorological Administration (Grant No. UMRF200702)  相似文献   
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