水力发电2018，Vol.44Issue(1)：13-16,76,5.
基于PCA-Fisher最优分割法的汛期分期影响研究
Study on the Influence for Division of Flood Season Based on PCA-Fisher Optimal Dissection Method
摘要
Abstract
Current flood season division methods are often subjective,it is difficult to make flood season staging easily and reasonably.Taking Shencun Reservoir basin as an example,the average value change-point method is firstly used to find out the correlation coefficient between monthly rainfall and runoff for quantitatively determining the flood season and non-flood season,and then,the weight of each index is determined by using Fisher optimal dissection method combined with principal component analysis (PCA) method.The staging rules of flood season are studied based on comprehensive index,flood index and rainstorm index,and the staging results are analyzed according to regional climate characteristics.The results show that PCA-Fisher optimal dissection method is feasible.The staging results in flood season are closely related to staging indexes,so a variety of indicators should be comprehensively considered in practical application.Because there is a lack of consideration of climate change and extreme weather in the determination of flood season and non-flood season,it is need to make an in-depth study on the impact of climate change on flood season.关键词
汛期分期/均值变点/PCA-Fisher最优分割法/指标类型/申村水库Key words
flood season division/average value change-point/PCA-Fisher optimal dissection method/index type/Shencun Reservoir分类
建筑与水利引用本文复制引用
唐莉,张永波,祝雪萍,王权威..基于PCA-Fisher最优分割法的汛期分期影响研究[J].水力发电,2018,44(1):13-16,76,5.基金项目
国家自然科学基金资助项目(51509176) （51509176）
山西省自然科学基金资助项目(201601D021086) （201601D021086）
