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基于栅格的安徽省人口-经济耦合关联及地形梯度差异
引用本文:何莎莎,方斌.基于栅格的安徽省人口-经济耦合关联及地形梯度差异[J].热带地理,2021,41(2):351-363.
作者姓名:何莎莎  方斌
作者单位:1.南京师范大学 地理科学学院,南京 210023;2.江苏省地理信息资源开发与利用协同创新中心,南京 210023
基金项目:国家自然科学基金项目(41671174);江苏省高校优势学科建设工程资助项目(164320H116)。
摘    要:基于2018年的人口数据和经济数据,采用土地利用影响模型对社会经济指标空间化,探讨安徽省人口-经济空间关系对地形的响应。结果表明:1)空间化模型预测的人口和经济密度能够反映实际状况,并将人口-经济空间关系划分为超前型、滞后型和协调型3种类型。皖南山区以滞后型为主,经济集聚滞后于人口集聚;皖北地区以协调型为主,人口和经济发展处于平衡状态;皖中地区以超前型为主,经济集聚大于人口集聚;2)随着地形因子的变化,地形对人口的影响强于经济。海拔>100 m,坡度>6°,地形起伏度>50 m的区域,属于经济集聚滞后于人口集聚的重点关注区域,主要分布在金寨县、霍山县、岳西县和太湖县等大别山核心区和池州市、黄山市和宣城市境内等皖南山区;3)人口-经济空间关系与地形有一定的空间相关性。总体上,随着海拔升高、坡度和地形起伏度增大,超前型面积占比越来越低,滞后型面积占比越来越高,协调型面积占比基本处于稳定。这可能是由于高低起伏的地表特征不仅对农业机械化产生显著的阻隔效应,使第一产业发展受限,且对基础设施建设、招商引资和产业布局有显著影响,弱化了地区经济优势。

关 键 词:人口-经济  空间化  栅格  地形  安徽省  
收稿时间:2020-05-03

Population-Economy Coupling and Its Effect on Topographic Gradients in Anhui Province,China Based on a Grid Scale
He Shasha,Fang Bin.Population-Economy Coupling and Its Effect on Topographic Gradients in Anhui Province,China Based on a Grid Scale[J].Tropical Geography,2021,41(2):351-363.
Authors:He Shasha  Fang Bin
Institution:1.College of Geography, Nanjing Normal University, Nanjing 210023, China;2.Jiangsu Provincial Geographic Information Resources Development and Utilization Cooperative Innovation Center, Nanjing 210023, China
Abstract:With the acceleration of urbanization,the relationship between an area’s population and its economy has become the main indicator of regional differences.Therefore,a comprehensive study of population-economy spatial dispersion changes and their influencing factors will help identify the driving force of population change and economic development.Moreover,it will facilitate measurement of the coupling and coordination relationship between industrial layout and the environment.Accordingly,based on the 2018 population and economic data of Anhui Province,China,this study used a land use impact model to spatialize socioeconomic indicators,and considered the population–economic spatial relationship of Anhui Province with its terrain.By doing so,the study hopes to promote the construction of new urbanization in Anhui Province and provide a reference for the development of central provinces in China.The results indicated that:1)The predicted population and economic densities of the study area fit well with the actual statistical values,which suggests that the spatialization results could reflect the actual situation of population and economic distribution.Based on the simulation data,the spatial relationship between the population and economy can be divided into three types:leading,lagging,and coordinating.The overall distribution characteristics of the spatial relationship between population and economy in the study area were as follows:in the mountainous area of Southern Anhui,the lag type was dominant,and economic agglomeration lagged behind that of population;in northern Anhui,the coordination type was dominant,and population and economic development were in balance;finally,in central Anhui,the lead type was dominant,and economic agglomeration was greater than population agglomeration.2)The correlation between terrain factors and the population was higher than that with the economy,with changes in the terrain factors strengthening the influence of terrain on population,compared to on the economy.The areas with an altitude gradient of>100 m,a slope>6°,and a relief of>50 m can be considered focus areas,where economic agglomeration lags behind population agglomeration.They are mainly distributed in the core areas of the Dabie Mountains such as Jinzhai County,Huoshan County,Yuexi County,and Taihu County,and the mountainous areas of Southern Anhui,such as Chizhou City,Huangshan City,and Xuancheng City.In the future,efforts should be made to improve the economic level of this area.3)The spatial relationship between the population and economy had a certain spatial correlation with topography.In general,with an increase in altitude,slope,and topographic relief,the proportion of leading-type areas reduced,while that of lagging-type areas grew,with the proportion of coordinating-type areas remaining stable.Specifically,with a rise in elevation from 0 m to 1,800 m,the proportion of leading-type areas increased from 54.46%to 58.06%,and then decreased to 4.17%;that of lagging-type areas increased from 26.11%to 79.17%;while the ratio of coordinating-type areas remained stable.With an increase in slope from 0°to 60°,the proportion of leading-type areas increased from 48.66%to 50.31%,and then decreased to 23.77%;that of lagging-type areas increased from 37.45%to 64.83%;while that of coordinating-type areas remained stable.With a topographic relief increase in fluctuation from 0 m to 450 m,the proportion of leading-type areas decreased from 49.69%to 18.03%,that of lagging-type areas increased from 36.66%to 72.13%,and the proportion of coordinating-type areas remained stable.Combined with the economic development of the primary,secondary,and tertiary industries,the undulating surface characteristics could have a significant barrier effect on agricultural mechanization,reducing the convenience of farming and restricting the development of the primary industry.Moreover,due to the dependence of enterprise profits and industrial layout on location,the secondary and tertiary industries are mostly reluctant to invest in regions with complex terrain.A complex terrain,thus,has a significant impact on infrastructure construction,investment,and industrial layout;hinders the development of the secondary and tertiary industries;and weakens regional economic advantages.
Keywords:population-economy  spatialization  grid  topography  Anhui Province
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