Study on Land Use Structure in Zhangye City Base on Information Entropy and Grey Prediction

Abstract

This paper analyzes the dynamic variation of information entropy of land use structure in Zhangye City,Gansu Province during the period 2003-2007 based on Shannon information entropy,makes a preliminary discussion on the land use types affecting the values of information entropy,and predicts the information entropy in the city during the period from 2008 to 2015 using the GM (1,1) model of grey system theory. The results show that,firstly,the main land use types affecting the dynamic variation of the information entropy of land use structure in the city were the grassplots,other farming lands,residential areas,lands for industry,mining and traffic as well as unused land,among which there was the closest correlation between the dynamic variation of information entropy of land use structure and the grassplots. Secondly,the information entropy and the equilibrium degree of land use structure in Zhangye City were monotonically increased,but the increase trend was gradually slowed down,which reveals that the land use structure was become more and more balanced with the economic development.