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。
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.
出处
《安徽农业大学学报》
CAS
CSCD
北大核心
2012年第4期624-628,共5页
Journal of Anhui Agricultural University
基金
国土资源部公益性行业科研专项经费项目(201111010)资助
关键词
信息熵
土地利用
结构
information entropy
land use
structure
