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Kalman滤波方法在黑河出山径流年平均流量预报中的应用
引用本文:蓝永超 康尔泗. Kalman滤波方法在黑河出山径流年平均流量预报中的应用[J]. 中国沙漠, 1999, 19(2): 156-159
作者姓名:蓝永超 康尔泗
作者单位:中国科学院兰州冰川冻土研究所, 兰州 730000
摘    要:应用Kalman滤波方法,以流域平均降水量、气温、太阳黑子相对数及莺落峡站6年显著周期序列等为控制参数,对黑河出山径流年平均流量的预测问题进行了初步研究和探讨。

关 键 词:Kalman滤波方法  多元回归模式  径流预报  递推起步参数  
收稿时间:1999-04-27
修稿时间:1998-05-29

Application of Kalman Filter Method for Runoff Forecastat the Mountain Outlet of the Heihe River
LAN Yong chao KANG Er si. Application of Kalman Filter Method for Runoff Forecastat the Mountain Outlet of the Heihe River[J]. ournal of Desert Research, 1999, 19(2): 156-159
Authors:LAN Yong chao KANG Er si
Affiliation:Lanzhou Institute of Glaciology and Geocryology, Chinese Academy of Sciences, Lanzhou 730000, China
Abstract:The Heihe River is a great inland river in arid zone of the northwestern Ch ina. Its main stream, with a length of 821 km and a catchment area of 13 000 km 2, rises in the Qilian Mountain and flows through the Hexi Corridor region of Gansu Province, and enters the western part of Inner Mongolia Plateau. The surfa ce water resource of the river come completely from the mountain region. The Yi ngluoxia hydrometric station, with a elevation of 1 700 m a.s.l. and a catchment area of 10 009 km 2, is the controlling station for measuring the mountain ou tlet runoff of the Heihe River. The Zhangye Basin in the middle course of the Heihe River is an important base for producing grain, where there are extremely developed irrigation agriculture. The western part of Inner Mongolia in the lower reaches of the river is a desert oasis, where the environment is degenerating severely. At present, the over exploitation and utilization of wate r resources in the Zhangye Basin endanger the existence of the desert oasis. Th e development of society and economy in the Heihe River basin like other arid re gions are seriously limited by the quantity and quality of the water resources. Therefore, it's very important to study the runoff forecasting methods. Kalman filter method is a estimation method on mathematical statistics. The op timal estimator of physical parameters can be obtained through treating a series of observational data with errors to the reality, and the method enable the errors to become minimum. Based on Kalman filter method and with mean precipitation, air temperature , the annual mean values of sunspot quantity and the main 6 year cycle of annual mean discharge through the Yingluoxia Hydrometric Station as the contr olling parameters, the forecasting for the annual runoff at the mountain outlet of the Heihe River was conducted.
Keywords:Kalman Filter Method Multivariate regression model Runoff forecast Recurrence parameters
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