地理科学进展 ›› 2011, Vol. 30 ›› Issue (11): 1361-1369.doi: 10.11820/dlkxjz.2011.11.005

• 水文过程 • 上一篇    下一篇

国内水文序列变异点分析方法及在各流域应用研究进展

周园园1,2, 师长兴1, 范小黎1,2, 杜俊1,2   

  1. 1. 中国科学院陆地水循环及地表过程重点实验室,中国科学院地理科学与资源研究所,北京 100101;
    2. 中国科学院研究生院,北京 100049
  • 收稿日期:2011-03-01 修回日期:2011-06-01 出版日期:2011-11-25 发布日期:2011-11-25
  • 通讯作者: 师长兴(1963-),男,河北正定人,研究员,博士生导师,主要从事流域物质迁移与环境变化。E-mail: shicx@igsnrr.ac.cn E-mail:shicx@igsnrr.ac.cn
  • 作者简介:周园园(1982-),女,河北石家庄人,博士研究生,主要从事河流地貌与河道演变研究。E-mail: zhouyuanyuanwinner@163.com
  • 基金资助:

    国家重点基础研究发展计划项目(2010CB428404)。

Advances in the Research Methods of Abrupt Changes of Hydrologic Sequences and Their Applications in Drainage Basins in China

ZHOU Yuanyuan1,2, SHI Changxing1, FAN Xiaoli1,2, DU Jun1,2   

  1. 1. Key Laboratory ofWater Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Gracuate University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2011-03-01 Revised:2011-06-01 Online:2011-11-25 Published:2011-11-25

摘要: 变异点识别在区分气候变化和人类活动对水文过程的影响中具有十分重要的作用。近几十年来,国内水文序列变异点的研究逐渐发展,从最早的使用单一方法发展到由多种方法组成的水文序列变异点诊断系统和对部分方法的改进。同时,各种方法在中国各主要流域得到广泛应用,但是使用的方法不同,水文序列时间年限不同,得到的变异点的结果也不完全一致。本文将目前普遍采用的方法及在各流域的应用成果进行了系统总结,为今后水文序列变异点的方法改进及其在流域中的应用发展提供参考。

关键词: 变异点识别, 时间序列分析, 水文序列检验

Abstract: Detecting abrupt changes in hydrologic sequences plays an important role in discriminating the impacts of climate change and human activities. In recent decades, researches on abrupt changes of hydrologic sequences have advanced greatly in China from using only one method in the earliest stage to applying diagnosis system of multiple methods and improved methods in the study in the late stage. Different results were given by studies using different methods and/or different time series of hydrologic sequences in the same drainage basins. In this paper, the theories of methods determining abrupt changes in hydrologic sequences and their application in the main watersheds in China are reviewed in order to provide reference for further development of these methods and their applications.

Key words: detecting abrupt changes, hydrologic sequences test, time series analysis