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基于信息熵的城市新区土地利用动态演变研究——以兰州市新区为例 被引量:7

On the Dynamic Evolvement of Urban Land Use Structure with the Application of Information Entropy Theory——A Case Study of Lanzhou New District
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摘要 分析城市用地结构的演变是土地利用优化配置的重要途径之一.以兰州新区1993~2013年土地利用数据为基础,对研究区土地利用类型变化进行分析,并运用信息熵理论对兰州新区土地利用结构进行了时间序列分析,进一步探讨了土地利用类型与信息熵的相关性.结果表明:20年间,兰州新区的耕地和草地面积呈大幅度减少,而受人为影响较大的房屋建筑区、人工堆掘地、构筑物、道路、林地等地类面积所占比例呈增加趋势,林地面积的大幅增加体现了政府部门在植树造林、改善环境方面所做的工作;兰州新区的土地利用结构信息熵、均衡度一直处于明显上升态势,而各土地利用类型的优势度有所降低;耕地、草地的减少,林地、房屋建筑区的增加是导致兰州新区信息熵持续增加的主要因素. An important way for optimum allocation of land use is to analyze the evolvement of urban land use structures. On the basis of the data of land use in Lanzhou New District from 1993 to 2013 ,the change in land use type in the study area has been analyzed and the time series analy- sis has been conducted on the evolvement of land use structures in the study area with the applica- tion of information entropy theory. Meanwhile, the correlation between land use type and infor- mation entropy has been further discussed. The result shows that during the last twenty years from 1993 to 2013, the area of farmland and grassland in Lanzhou New District was decreased dra- matically, while the area of such land types as housing buildings, artificial heaps of digging, struc- tures, roads and woodlands, which is affected by human factors has been increasing. Substantial increase of woodland area has proved the efforts of municipal government in forestation and envi- ronmental enhancement. The information entropy as well as the equilibrium degree of land use structure in Lanzhou New District has been increased evidently,whereas the dominance degree of each land use type has been decreased. The decrease of farmland and grassland area, as well as the increase of woodland and housing building area has become the main factors for constant rise of the information entropy in Lanzhou New District.
出处 《兰州交通大学学报》 CAS 2016年第4期148-152,共5页 Journal of Lanzhou Jiaotong University
基金 甘肃省自然科学基金(148RJZA028) 兰州交通大学青年科学基金(2013002)
关键词 信息熵 土地利用 GIS 城市新区 information entropy land use GIS urban new district
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