青海省土地利用结构信息熵时空分异规律及驱动因素分析  

Temporal- spatial variation of information entropy of land use structure and its driving forces in Qinghai Province from 1999 to 2013

作　　者：司慧娟[1,2] 付梅臣[1,3] 袁春[1,3] 周伟[1,3] 

机构地区：[1]中国地质大学土地科学技术学院,北京100083 [2]青海省国土规划研究院,西宁810000 [3]国土资源部土地整治重点实验室,北京100083

出　　处：《干旱区资源与环境》2016年第6期38-42,共5页Journal of Arid Land Resources and Environment

基　　金：国家自然科学基金(41071349)资助

摘　　要：基于信息熵原理,分析了1999～2013年青海省土地利用结构信息熵时序演变特征和空间差异规律,并采用主成分分析方法对主要驱动因子进行定量分析。研究表明：1）近15年间,青海省土地利用结构信息熵呈＂先下降后上升＂的总体态势,土地利用结构逐步向均衡状态转变;2）信息熵空间差异显著,海拔低、经济发展快的东部河湟谷地信息熵值高,祁连山地及柴达木盆地居中,海拔高、经济发展最慢的青南高原区信息熵值最低;3）人口与经济发展、城市化、产业结构调整和农业发展是推动信息熵变化的主要驱动因子。This research studied the land use structure dynamic law of the spatial and temporal diversity in Qinghai province with the theory of information entropy from 1999 to 2013,and used the principal component analysis to study the most important driving factors. The results showed： 1） The changes of information entropy and equilibrium degree underwent the process from decrease to increase in Qinghai during the past 15 years. 2） The spatial diversities were evidently observed in the information entropy of cities. The largest information entropy was in the east Hehuang valley regions,they were the areas with the lowest elevation and the fastest economic growth.The second was in the northwestward Qilian mountain- Qaidam basin regions,they were the areas with mid elevation and the mid economic growth. The smallest was in the southern plateau region. 3） The raising of economic development,urbanization,industrial structure and agricultural development were the important driving factors.

关 键 词：土地利用结构 时空变化 驱动因素 信息熵 青海省 

分 类 号：F501[经济管理—产业经济]