基于GIS和信息熵的洮儿河流域土地利用结构演化分析  

Evolution Analysis of Land Use Structure of Taoerhe Basin Based on GIS and Information Entropy

作　　者：赵丹丹[1] 刘吉平[1] 马冲亚[1] 刘家福[1] 

机构地区：[1]吉林师范大学旅游与地理科学学院,吉林四平136000

出　　处：《湖北农业科学》2015年第14期3388-3393,共6页Hubei Agricultural Sciences

基　　金：教育部新世纪优秀人才支持计划项目(NCET-12);吉林省自然科学基金项目(20130101097JC;201215224);吉林省科技厅青年基金项目(201201085);吉林省教育厅项目(吉教科合字2013第201号)

摘　　要：以洮儿河流域为研究对象,采用1986-2010年的5期土地利用数据,在SPSS、Arc GIS和Crime Stat软件的支持下,采用土地利用结构信息熵、土地利用结构均衡度、土地利用综合动态度及热点分析等方法,对1986-2010年洮儿河流域的土地利用结构及土地利用动态变化进行研究。结果表明,1986-2010年,土地利用结构信息熵和均衡度呈先减少后增加的趋势,土地利用结构信息熵的高值区由流域的中下游向下游区转移,上游低值区消失;土地利用结构均衡度的高值区由中下游地区向上游和下游地区转移;土地利用动态变化热点地区集中位于洮儿河流域上游和下游,其中下游面积较大;气候、水文及人口增长、经济发展和政策的综合作用对洮儿河流域土地利用结构变化起着决定性作用;除了2005-2010年信息熵变化率与综合动态度、均衡度变化率与综合动态度呈不相关性,1986-2010年,在0.01水平上显著,信息熵变化率、均衡度变化率和综合动态度三者之间均呈相关性。In this paper, the land use structure of Taoerhe basin was studied using five periods land use data from 1986 to2010. With the help of SPSS,Arc GIS and Crime Stat softwares, land use structure and dynamic changes of Taoerhe basin from1986 to 2010 were investigated by land use structure information entropy, land use structure equilibrium degree, land use integrated dynamic degree and hot spots methods. The results showed that land use structure information entropy and equilibrium degree decreased first and then increased the high-value areas of land use structure information entropy transform s from mid-downstream to downstream,and upstreamLow-value areas disappear; The high-value areas land use structure equilibrium degree transform from mid-downstream to upstream and downstream; land use integrated dynamic degree alternately lies on upstream and downstream, and there is a low-value area in the north of midstream;the hot spots of land use dynamic changes concentrate in upstream and downstream of the basin, and downstream area is larger. The comprehensive effect of climate, hydrology, population increase, economic development and polices is a determining factor for land use structure changes. Information entropy rate and integrated dynamic degree as well asequilibrium degree rate and integrated dynamic degree showed no correlation. Information entropy rate, equilibrium eegree rate and integrated dynamic degree showed correlation from 1986 to 2010,and they are significant at the level of 0.01.

关 键 词：信息熵 GIS 土地利用结构 动态变化 洮儿河流域 

分 类 号：P301[天文地球—地球物理学]