基于主成分分析的农业旱灾等级区划研究  

Study on Regionalization of Agricultural Drought Based on the Principal Component Analysis

作　　者：马细霞[1] 李艳[1] 刘磊[1] 

机构地区：[1]郑州大学水利与环境学院,河南郑州450001

出　　处：《郑州大学学报（工学版）》2011年第1期125-128,共4页Journal of Zhengzhou University（Engineering Science）

基　　金：河南省自然科学基金项目(0411050800)

摘　　要：旱灾是制约一个地区经济发展的主要因素之一,旱灾的等级区划又是农业抗旱能力综合评价的基础,目前对旱灾等级区划的方法比较主观且单一化.笔者在分析主成分分析法的基础上,建立了基于主成分分析的农业综合干旱及旱灾区划模型,并将其应用于东北四个地区的农业旱灾区划,评价出了四个地区的区划等级都属于中度脆弱区.用层次分析法的评价结果与之相比较,两种评价结果一致,且与实际情况相符,表明主成分分析法是一种有效的区划农业干旱及旱灾的方法.Drought is a major contributing factor to regional economic development,and its grading is the basis of comprehensive evaluation of drought resistance capacity.However,the drought grading method is fairly subjective and single.This article introduces the method and thought about principal components analysis.In this foundation,the classification of agricultural combined drought model based on PCA is founded.The model is applied to evaluating and ranking four areas drought in Northeast China area and they are compared with each other,then we came to the conclusion that the four areas all fall into medium fragile areas.This is the same as the result using the analytic hierarchy process.Furthermore,it corresponds to the practical situation.The conclusion shows that the principal components analysis is an effective method for grading drought.

关 键 词：农业综合干旱 主成分分析 旱情 

分 类 号：S271[农业科学—农业水土工程]