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Position: Home > Articles > Application of Multi-step Parameter Calibration Method with Sacramento Model Journal of Shenyang Agricultural University 2010,41 (6) 711-716

Sacramento模型的多步骤参数估计方法及应用

作  者:
张刚;解建仓;罗军刚;陈田庆;李建勋
单  位:
西安理工大学西北水资源与环境生态教育部重点实验室;西安理工大学经济与管理学院
关键词:
参数估计;Sacramento模型;免疫;克隆;算法;多步骤
摘  要:
为了解决传统优化算法在Sacramento模型参数估计中存在早熟、收敛速度慢、容易陷入局部最优和传统求解过程出现模型模拟吻合度较差等问题。对于人工生成的理想水文资料,分别采用SCE-UA算法、并行遗传算法(PGA)、改进粒子群算法(SMSE-PSO)和提出的免疫克隆选择算法(ICSA)进行参数率定,比较结果选出最优算法,同时,将最优算法与多步骤参数估计方法结合进行实测资料的洪水预报,并比较单步骤与多步骤方法的预报效果。结果表明:ICSA收敛结果更好,效率和精度更高,将其与多步骤参数估计结合提高了洪水预报精度。ICSA算法和多步骤参数估计方法结合为Sacramento模型参数估计提供了一条新途径。
译  名:
Application of Multi-step Parameter Calibration Method with Sacramento Model
作  者:
ZHANG Ganga,XIE Jian-canga,LUO Jun-ganga,CHEN Tian-qinga,LI Jian-xunb(a.Key Lab of Northwest Water Resources and Environment Ecology of MOE,b.College of Business Administration,Xi'an University of Technology,Xi'an 710048,China)
关键词:
calibration parameter;Sacramento model;immune;clone;algorithm;multi-step
摘  要:
The study was done in order to overcome the disadvantages of traditional optimal algorithm for estimating parameter of Sacramento: early maturity,poor convergence,local optima and poor simulation precision.For ideal data,SCE-UA,PGA,SMSE-PSO and ICSA were applied to estimate parameters and get comparison result,in the meaning time,combining ICSA and multi-step method was used to forecast flood with measured data and get comparison result of multi-step and single-step method.The comparison results showed that ICSA had higher efficiency and precision in parameter estimation and multi-step greatly improved the forecast precision.Combining ICSA and multi-step will be a new method for Sacramento model's parameter estimation.

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