长江中游水文系统模型变异诊断研究
Identification of Hydrologic Model Change-Point for Middle Yantgze River
DOI: 10.12677/JWRR.2013.24034, PDF, HTML, 下载: 3,004  浏览: 6,436  国家自然科学基金支持
作者: 刘 攀*, 邓 超, 沈 艳:武汉大学水资源与水电工程科学国家重点实验室;张洪刚, 丁胜祥:长江水利委员会水文局
关键词: 系统模型模型变异多输入单输出贝叶斯Systematic Model; Change-Point of Model; Multiple Input Single Output; Bayesian
摘要: 水文模型结构变异分析可为水文模拟提供科学依据。针对多输入单输出线性系统模型,基于线性模型的贝叶斯变点估计方法,诊断和识别水文系统中的模型结构变异。以长江中游水文系统为研究背景,分别建立了宜昌沙市、宜昌螺山两个多输入单输出线性系统模型,结果表明,长江中游水文模型变异不显著,模拟中可作为一致性序列处理。
Abstract:  It is very important to identify the model change-point for scientific understand of the hydrologic simulation. Based on the Bayesian change-point estimation of the general linear model, a method has been set up to identify the change-point of hydrologic systematic model, especially a multiple inputs—single output linear model. With the cases study of the middle Yangze River, two models have been set up to simulate the flows from Yichang to Shashi and Luoshan stations, respectively, it is indicated that no significant change has taken place in the studied area.
文章引用:刘攀, 邓超, 张洪刚, 沈艳, 丁胜祥. 长江中游水文系统模型变异诊断研究[J]. 水资源研究, 2013, 2(4): 242-247. http://dx.doi.org/10.12677/JWRR.2013.24034

参考文献

[1] MERZ, R., PARAJKA, J. and BLOÖSCHL, G. Time stability of catchment model parameters: Implications for climate impact analyses. Water Resources Research, 2011, 47(2): W02531.
[2] 孙晓红, 郭生练, 郭海晋, 徐高洪, 陈桂亚. 长江洞庭湖和宜昌至汉口流域洪水过程模拟研究[J]. 水电能源科学, 2001, 19(3): 46-48. SUN Xiaohong, GUO Shenglian, GUO Haijing and CHEN Guiya. Flood simulation study in the Dongtinghu and Yi-chang- Hankou basins of the Yangtze River. International Journal Hy- droelectric Energy, 2001, 19(3): 46-48.
[3] 沈艳, 刘攀, 刘玥. 三峡水库调蓄后长江中游径流演变趋势分析[J]. 人民长江, 2013, 44(4): 25-27. SHEN Yan, LIU Pan and LIU Yue. Analysis on runoff evolution trend of middle Yangtze River after impoundment of Three Gorges Reservoir. Yangtze River, 2013, 44(4): 25-27.
[4] RASMUSSEN, P. Bayesian estimation of change points using the general linear model. Water Resources Research, 2001, 37 (11): 2723-2731.
[5] SEIDOU, O., ASSELIN, J. J. and OUARDA, T. B. M. J. Bayes- ian multivariate linear regression with application to change point models in hydrometeorological variables. Water Resources Research, 2007, 43(8).
[6] BEAULIEU, C., SEIDOU, O., OUARDA, T. B. M. J. and ZHANG, X. Intercomparison of homogenization techniques for precipitation data continued: Comparison of two recent Bayesian change point models. Water Resources Research, 2009, 45(8):
[7] GB/T 22482-2008, 水文情报预报规范[S]. 北京: 中国标准出版社, 2009. GB/T 22482-2008, The hydrological forecasting standard. Beijing: China Standard Press, 2009.