中国贫困县空间格局与地形的空间耦合关系

发布时间：2018-04-30 21:00

  本文选题：贫困县 + 空间分布格局　； 参考：《经济地理》2017年10期

【摘要】：以90 m分辨率全国DEM数据和GIS空间分析方法为基础,以中国贫困县为研究对象,探讨影响县域财富空间分布的地形环境动因。通过计算地面坡度、地形起伏度、河网长度与密度等,探讨地形因子与县域财富分布的空间耦合关系。结果表明,贫困县主要位于我国三大地形阶梯的第二阶梯,以黄土高原、秦巴山地、云贵高原最为集中,该区域也位于胡焕庸人口分界线两侧附近。研究表明,复杂的地形条件对贫困县的空间分布具有相当强度的正向驱动作用。其中,70%的贫困县位于地面平均坡度在10°以上的区域;72%的贫困县位于3×3邻域窗口内(270 m×270 m)地形起伏度达50 m以上的区域。值得注意的是,山区地域90 m分辨率DEM数据在相当程度上弱化了坡度和地形起伏度计算结果,而贫困县地形环境在真实情况下更为恶劣,严重阻碍经济发展,进一步印证地形条件对贫困县分布的影响。可见,贫困摘帽已不能依赖先天不足的第一产业,政府主导性产业向贫困县地域的强势布局,及由此产生可能的羊群效应有望推动区域平衡发展。
[Abstract]:Based on 90m resolution national DEM data and GIS spatial analysis method, the topographic and environmental factors influencing the spatial distribution of wealth in poor counties in China are discussed. The spatial coupling relationship between topographic factors and county wealth distribution is discussed by calculating the surface slope, topographic fluctuation, river network length and density. The results show that the poverty-stricken counties are mainly located in the second step of the three major terrains in China, with the Loess Plateau, the Qinba Mountains and the Yungui Plateau being the most concentrated, and the region is also located near the two sides of Hu Huanyong's population demarcation line. The study shows that the complex terrain conditions have a strong positive driving effect on the spatial distribution of poor counties. Among them, 70% of the poor counties are located in areas with an average slope of 10 掳or above. 72% of the poor counties are located in an area of 270m 脳 270m within the 3 脳 3 neighborhood window) where the relief degree of the terrain is more than 50 m. It is worth noting that the DEM data with 90 m resolution in mountainous area weakens the calculation results of slope and topographic fluctuation to a certain extent, while the terrain environment in poor counties is even worse in real conditions, which seriously hinders the development of economy. To further verify the impact of terrain conditions on the distribution of poor counties. It can be seen that poverty can no longer rely on the natural shortage of the primary industry, the strong layout of the government leading industries to the poor counties, and the potential herd effect will promote the balanced development of the region.
【作者单位】： 南京邮电大学地理与生物信息学院;南京师范大学虚拟地理环境教育部重点实验室;江苏省地理信息资源开发与利用协同创新中心;威斯康辛大学麦迪逊分校地理系;
【基金】：国家自然科学基金项目(41601411、41701185) 江苏省自然科学基金青年项目(BK20160893) 江苏省高校哲学社会科学研究项目(2016SJB630001) 江苏省高校自然科学研究面上项目(16KJB170012) 南京邮电大学校引进人才项目(NYY215017) 江苏省高校哲学社会科学重点项目(2017ZDIXM123) 中央高校基本科研业务费专项资金项目(30920140122012)
【分类号】：F127;K901
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本文编号：1826189