摘要
针对典型解集(TD)模型只适用于平稳随机序列而存在的局限性问题,提出一种新的月径流随机模型—互补式集合经验模态分解-典型解集(CEEMD-TD)模型。以黄河流域的3个典型水文站为例,建立CEEMD-TD模型的月径流随机模型,通过检验截口的主要统计参数来评价随机模型的模拟效果。结果表明:各典型水文站中CEEMD-TD模型模拟序列和实测序列的截口统计参数相对误差的绝对值均较小,说明CEEMD-TD模型在各典型水文站的模拟序列总体上均能保持实测序列的主要统计特性,为月径流随机模拟提供了一种有效的模拟方法。
Targeted at the limitation of the typical solution set(TD)model,which is only applicable to stationary random series,a new monthly runoff stochastic model,this paper proposes the complementary set empirical mode decomposition(CEEMD-TD)model. Taking three typical hydrological stations in the Yellow River Basin as an example,a monthly runoff stochastic model of the CEEMD-TD model is established,and the simulation effect of the stochastic model is evaluated by examining the main statistical parameters of the section. The results show that the absolute value of the relative error of the statistical parameters of the CEEMD-TD model simulation sequence and the measured sequence in each typical hydrological station is small,indicating that the CEEMD-TD model can maintain the actual measurement in the simulation sequence of each typical hydrological station. The main statistical characteristics of the sequence provide an effective simulation method for the random simulation of monthly runoff.
作者
王倩丽
马细霞
赵璐
张静文
程旭
WANG Qian-li;MA Xi-xia;ZHAO Lu;ZHANG Jing-wen;CHENG Xu(School of Water Conservancy Engineering,Zhengzhou University,Zhengzhou 450001,China;Yellow River Institute for Ecological Protection and Regionally Coordinated Development,Zhengzhou University,Zhengzhou 450001,China;Zhengzhou Airport Economy Zone Xinggang Investment Group Co.,Ltd,Zhengzhou 450001,China;School of Civil Engineering,Shangqiu Institute of Technology,Shangqiu 476000,Henan Province,China)
出处
《中国农村水利水电》
北大核心
2022年第4期57-64,共8页
China Rural Water and Hydropower
基金
河南省科技攻关项目(192102310228)
郑州市协同创新重大专项(郑州大学)智库研究专项(2019ZZXT01)。
