资源枯竭型城市转型期产业用地变化图谱

doi:10.11821/dlyj201510009

摘要/Abstract

摘要：

运用地理信息图谱的理论和GIS空间分析方法,构建了资源枯竭城市——大庆市的网格信息图谱模型,分析了研究区1996-2010年产业用地的演变特征和规律。结果表明：第一产业用地面积最广,主要分布在矿产资源不丰富的城市外围地区,并呈现聚集和增加趋势;主要工矿区的第二产业用地变化最为剧烈,第二产业用地正逐步从资源地的传统矿区向规划新建的工业园区迁移;第三产业用地主要分布在城市中心区域,呈点状分散于核心居民区周围,第三产业用地仍表现为粗放模式发展。图谱研究说明资源枯竭型城市在转型发展过程中,土地规划在土地类型转化中发挥了主体作用。

关键词: 产业用地, 网格图, 地学信息图谱, 大庆市

Abstract:

Many researchers have paid more attention to regional industrial land change in China. Industrial land change has unique characteristics in the resource exhausted cities. Daqing city, located in the southeast part of Heilongjiang province, is an important petroleum resource exhausted city. Geographical Info-Tupu is a method of processing and showing information to reflect spatial-temporal order of objects in the world. This paper, with the theory and methods of geographical Info-Tupu and GIS as a basis, establishes a grid info Tupu models by integrating TM image, large-scale topographic map, urban planning map, and other spatial data. The spatial pattern and changing law of industrial land use change pattern in Daqing are also revealed quantitatively. The results showed that: (1) Agricultural land was mainly found in outlying areas where mineral resources were not abundant, and showed an increasing trend and further concentration. (2) The most dramatic changes were in mining areas, and industrial land was gradually moving from the traditional mining zones to the new industrial zones. (3) The tertiary industry land was mainly in the city center area, which was distributed along the core neighborhoods. The tertiary industry land increased slowly in extensive development mode. This suggests that land planning plays a leading role in industrial land conversion in the resource exhausted city.

Key words: industrial land, grid map, geo-information Tupu, Daqing city

董隽, 臧淑英, 郭红, 倪超. 资源枯竭型城市转型期产业用地变化图谱[J]. 地理研究, 2015, 34(10): 1911-1919.

Jun DONG, Shuying ZANG, Hong GUO, Chao NI. Analysis of industrial land Info Tupu based on the resource exhausted city in transformation period[J]. GEOGRAPHICAL RESEARCH, 2015, 34(10): 1911-1919.

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