水资源与水工程学报

文章摘要

张继国,谢平,龚艳冰,刘高峰.降雨信息空间插值研究评述与展望Journal of Water Resources and Water Engineering[J].,2012,23(1):6-9,13

降雨信息空间插值研究评述与展望

Review and perspectives of the research on spatial interpolation of rainfall information

Received:October 31, 2011 Revised:November 14, 2011

DOI：10.11705/j.issn.1672-643X.2012.01.002

中文关键词: 降雨信息空间插值信息熵空间统计学

英文关键词: rainfall information spatial interpolation information entropy spatial statistics

基金项目:武汉大学水资源与水电工程科学国家重点实验室开发研究基金项目(2010B067)

Author Name	Affiliation
ZHANG Jiguo	State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan430072, China Institute of Hydraulic Information Statistics and Management, Hohai University, Changzhou 213022, China
XIE Ping	State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan430072, China
GONG Yanbing	Institute of Hydraulic Information Statistics and Management, Hohai University, Changzhou 213022, China
LIU Gaofeng	Institute of Hydraulic Information Statistics and Management, Hohai University, Changzhou 213022, China

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中文摘要:

降雨空间分布对于区域水文模拟、水资源规划与管理、旱涝灾害评估以及生态环境治理等均具有基础性的科学研究意义,是水文水资源学科中的热点研究课题之一。本文主要从方法论的角度评述了微观层面的降雨信息空间插值研究进展,首先探讨了确定性方法与空间统计学方法各自的优势与局限性,最后着重论述了利用信息熵的理论与方法研究降雨信息插值的科学基础,以及对其可行性、合理性和技术特征予以了展望。

英文摘要:

Research on rainfall distribution is of basic scientific significance for regional hydrological modeling, planning and management of water resources, flood and drought disaster assessment and improvment of ecological environment. This paper mainly commentaried research progress of spatial interpolation of rainfall data from the visual angle of methodology on a microscopic level. Firstly, it separately discussed advantages and disadvantages of the deterministic method and the spatial statistics method used to research spatial interpolation of rainfall data, discoursed upon the scientific basis of information entropy theory and methods, and studied the spatial interpolation of rainfall, finally prospect the feasibility, rationality and technical characteristics of information entropy method.

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