| 信息熵在合肥市土地利用结构变化分析中的应用 |
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| 引用本文： | 韩玉,於忠祥.信息熵在合肥市土地利用结构变化分析中的应用[J].安徽农业大学学报,2012,39(4):624-628. |
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| 作者姓名： | 韩玉 於忠祥 |
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| 作者单位： | 安徽农业大学经济管理学院,安徽农业大学国土资源研究所,合肥230036;安徽农业大学经济管理学院,安徽农业大学国土资源研究所,合肥230036 |
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| 基金项目： | 国土资源部公益性行业科研专项经费项目(201111010)资助 |
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| 摘 要： | 信息熵反映土地利用的均衡程度。熵值越大,土地系统越无序。利用1996~2010年合肥市区划调整前的土地利用结构计算信息熵,通过信息熵调整土地利用结构,指导未来城市发展。研究结果表明:(1)合肥市的土地利用结构信息熵偏低,其值在1.29～1.44间波动,土地系统有序度较高;(2)土地利用结构信息熵由1.29增大到1.38,土地系统无序、土地利用结构不合理与合肥市拼资源、拼环境的粗放发展有关;(3)保障耕地面积不减少、降低建设用地比重、增加人工湿地,是实现信息熵降低的手段。今后,合肥市要建立在节约集约利用土地的基础上,走内涵挖潜之路打造现代化的田园大城市。
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| 关 键 词： | 信息熵 土地利用 结构 |
| 收稿时间： | 2012/2/28 0:00:00 |
Application of information entropy to the analysis on the changes of land use structure in Hefei city |
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| HAN Yu and YU Zhong-xiang.Application of information entropy to the analysis on the changes of land use structure in Hefei city[J].Journal of Anhui Agricultural University,2012,39(4):624-628. |
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| Authors: | HAN Yu and YU Zhong-xiang |
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| Institution: | (School of Economics and Management,Institute of Land and Resources,Anhui Agricultural University,Hefei 230036) |
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| Abstract: | Information entropy reflects the balance degree of land use.More large entropy is,more disor-dered land system is.We calculated information entropy based on land use structure before city zoning adjustment in Hefei from year 1996 to 2010,and then adjusted land use structure through information entropy to provide ref-erence for further development of the city.The results show that:(1) The information entropy of land use structure of Hefei city was on the low side with its value fluctuated between 1.29 and 1.44,and the degree of order of land system was high;(2) The information entropy of land use structure increased from 1.29 to 1.38;the land system was disordered,and the land use structure was unreasonable,which were related to the extensive development at the cost of resources and environment of Hefei city;(3) Protecting the arable land at a stable level reducing the proportion of construction land and increasing artificial wetland are effective methods for reducing information entropy. |
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| Keywords: | information entropy land use structure |
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