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中长期水文预报方法研究综述
引用本文:徐冬梅,赵晓慎. 中长期水文预报方法研究综述[J]. 水利科技与经济, 2010, 16(1): 1-7
作者姓名:徐冬梅  赵晓慎
作者单位:华北水利水电学院,水利学院,郑州,450011
基金项目:水利部公益性行业科研项目 
摘    要:由于中长期水文预报对于水资源规划管理、水库及水电站调度具有的重要意义,其研究一直受到学术界和工程界的广泛关注。通过围绕其传统预报方法成因分析、数理统计方法和时间序列分析技术,和其现代的人工智能预报技术,包括模糊分析、人工神经网络、灰色系统分析、小波分析、混沌分析、支持向量机、遗传程序设计以及这些方法的相互耦合等进行的全面介绍和评述,并指出将来中长期水文预报的进一步研究方向。

关 键 词:水文过程  中长期预报  水文统计  现代人工智能

Review on Study of Mid-and Long-term Hydrological Forecasting Technique
XU Dong-mei,ZHAO Xiao-shen. Review on Study of Mid-and Long-term Hydrological Forecasting Technique[J]. Water Conservancy Science and Technology and Economy, 2010, 16(1): 1-7
Authors:XU Dong-mei  ZHAO Xiao-shen
Affiliation:XU Dong-mei,ZHAO Xiao-shen(Faculty of Water Conservancy Engineering,North China Institute of Water Conservancy , Hydroelectric,Zhengzhou 450011,China)
Abstract:The mid-and long-term hydrological forecasting is paid wide attention and research in both academic and engineering fields,because it's great significance to the successful water resources planning and management,reservoirs and hydropower stations operation.A complete survey and review on the traditional forecasting method which includes cause analysis,mathematical statistics and time series analysis,and modern artificial intelligence technique which includes fuzzy analysis,artificial neural networks,grey s...
Keywords:hydrological process  mid-and long-term forecasting  hydrologic statistics  modern artificial intelligence  
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