摘要
分布式水文模型随着计算机、遥感和地理信息系统等信息技术的发展成为水文模拟的热点,但面临着参数过多难以率定的问题。PEST是独立于模型的非线性参数估计和不确定性分析的综合软件,能通过尽量少的模型运行次数估计参数。本文应用以ArcView3.2为操作平台的WetSpa分布式水文模型,结合人工试错法和PEST独立参数自动率定程序联合对WetSpa模型进行参数率定,对白盆珠水库流域1992～2001年日径流进行连续模拟研究,取得较好效果。
Although the development of computer, RS and GIS, distributed hydrological model has become the research hotspot of the hydrological simulation, there are still many parameters need to be calibrated. PEST is a model-independent nonlinear parameter estimation and uncertainty analysis software with less model running times. This paper used WetSpa Model which is based on ArcView 3.2 for the daily flow simulation of the basin of Baipenzhu Reservoir from 1992 to 2001. Manual calibration and a model-independent parameter estimator, PEST were applied for parameter calibration of the model. The result of the daily flow simulation is good.
出处
《水文》
CSCD
北大核心
2009年第5期45-49,29,共6页
Journal of China Hydrology
基金
国家自然科学基金(50479033)
广东省科技计划基金(2006B37202001)
关键词
PEST
WetSpa分布式水文模型
白盆珠水库流域
径流模拟
PEST parameter calibration
WetSpa distributed hydrological model
basin of Baipenzhu Reservoir
flow simulation
