摘要
针对目前年径流丰枯分类常用方法存在的不足,鉴于年径流丰枯分类同时受年径流总量及其年内时程分配的影响,提出了基于广义集对势(GSPP)判别准则的年径流丰枯分类模型,并将该模型应用于黑河莺落峡水文站年径流丰枯分类中,判别了不同水文年的丰枯状态,划分了年径流序列的水文丰枯阶段。结果表明,该模型不仅考虑了年内逐月径流分量的权重值,同时通过广义集对势从联系趋势的角度进行径流丰枯分类,思路清晰,过程直观,在水文分类中具有一定的推广应用前景。
Aiming at the deficiency of common methods for current annual runoff classification,considering the influence of the total amount and inner-annual distribution,a model was proposed to classify annual runoff based on the rule of general set pair posture（GSPP）.The model was applied in Yingluoxia hydrological station in Heihe river basin.The hydrology state of each year was identified.Meanwhile,the stage of annual runoff series as abundant,normal and low was also divided.The results show that the runoff weight of each month was not only considered in the model,but also the annual runoff classification was determined in view of connection tendency by GSPP.The application example proved the model is effective and reasonable with a wide generalization in other hydrological classification fields.
出处
《水电能源科学》
北大核心
2016年第5期1-4,共4页
Water Resources and Power
基金
华北水利水电大学研究生教育创新计划基金资助(YK2011-04)
关键词
集对分析
广义集对势
主成分分析
距平百分率
年径流分类
set pair analysis
general set pair posture
principal component analysis
anomaly percentage
annual runoff classification
