地理科学进展 ›› 2013, Vol. 9 ›› Issue (9): 1413-1422.doi: 10.11820/dlkxjz.2013.09.011
• 水文研究 • 下一篇
桑燕芳, 王中根, 刘昌明
收稿日期:
2013-04-01
修回日期:
2013-05-01
出版日期:
2013-09-25
发布日期:
2013-09-25
作者简介:
桑燕芳(1983- ), 男, 博士, 助理研究员, 主要从事水文水资源研究。E-mail:sangyf@igsnrr.ac.cn
基金资助:
SANG Yanfang, WANG Zhonggen, LIU Changming
Received:
2013-04-01
Revised:
2013-05-01
Online:
2013-09-25
Published:
2013-09-25
摘要: 本文首先介绍了小波分析的基本方法,主要包括小波函数、小波变换和小波消噪等。然后从6个方面,即基于连续小波变换的水文序列多时间尺度变化特性分析、基于离散小波变换的水文序列分解和重构、水文过程复杂性定量描述、水文序列小波消噪、水文序列小波互相关分析和基于小波方法的水文序列模拟预报技术,综述了小波分析方法在水文学各领域的研究应用现状和主要不足,以及存在的关键和难点问题。最后,对小波分析方法在今后的水文学研究中的应用进行了展望,并就小波函数选择、小波阈值消噪、小波分解、小波互相关分析、水文序列小波预报等具体问题提出了建议。
桑燕芳, 王中根, 刘昌明. 小波分析方法在水文学研究中的应用现状及展望[J]. 地理科学进展, 2013, 9(9): 1413-1422.
SANG Yanfang, WANG Zhonggen, LIU Changming. Applications of wavelet analysis to hydrology: Status and prospects[J]. PROGRESS IN GEOGRAPHY, 2013, 9(9): 1413-1422.
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