Comparison between two generalized Nash models with a same non-zero initial condition

Initial condition can impact the forecast precision especially in a real-time forecasting stage. The discrete linear cascade model (DLCM) and the generalized Nash model (GNM), though expressed in different ways, are both the generalization of the Nash cascade model considering the initial condition....

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Main Authors: Baowei Yan, Yu Liu, Zhengkun Li, Huining Jiang
Format: Article
Language:English
Published: IWA Publishing 2021-12-01
Series:Hydrology Research
Subjects:
Online Access:http://hr.iwaponline.com/content/52/6/1216
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author Baowei Yan
Yu Liu
Zhengkun Li
Huining Jiang
author_facet Baowei Yan
Yu Liu
Zhengkun Li
Huining Jiang
author_sort Baowei Yan
collection DOAJ
description Initial condition can impact the forecast precision especially in a real-time forecasting stage. The discrete linear cascade model (DLCM) and the generalized Nash model (GNM), though expressed in different ways, are both the generalization of the Nash cascade model considering the initial condition. This paper investigates the relationship and difference between DLCM and GNM both mathematically and experimentally. Mathematically, the main difference lies in the way to estimate the initial storage state. In the DLCM, the initial state is estimated and not unique, while that in the GNM is observed and unique. Hence, the GNM is the exact solution of the Nash cascade model, while the DLCM is an approximate solution and it can be transformed to the GNM when the initial storage state is calculated by the approach suggested in the GNM. As a discrete solution, the DLCM can be directly applied to the practical discrete streamflow data system. However, the numerical calculation approach such as the finite difference method is often used to make the GNM practically applicable. Finally, a test example obtained by the solution of the Saint-Venant equations is used to illustrate this difference. The results show that the GNM provides a unique solution while the DLCM has multiple solutions, whose forecast precision depends upon the estimate accuracy of the current state. HIGHLIGHTS The main difference lies in the way to estimate the initial storage state.; The GNM is the unique solution of the Nash cascade model.; The DLCM is an approximate solution of the Nash cascade model.; The DLCM can be transformed to the GNM.;
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spelling doaj.art-b6fa630ceb804ab5a5a20217d69f4a692022-12-21T19:37:07ZengIWA PublishingHydrology Research1998-95632224-79552021-12-015261216122210.2166/nh.2021.172172Comparison between two generalized Nash models with a same non-zero initial conditionBaowei Yan0Yu Liu1Zhengkun Li2Huining Jiang3 School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China Initial condition can impact the forecast precision especially in a real-time forecasting stage. The discrete linear cascade model (DLCM) and the generalized Nash model (GNM), though expressed in different ways, are both the generalization of the Nash cascade model considering the initial condition. This paper investigates the relationship and difference between DLCM and GNM both mathematically and experimentally. Mathematically, the main difference lies in the way to estimate the initial storage state. In the DLCM, the initial state is estimated and not unique, while that in the GNM is observed and unique. Hence, the GNM is the exact solution of the Nash cascade model, while the DLCM is an approximate solution and it can be transformed to the GNM when the initial storage state is calculated by the approach suggested in the GNM. As a discrete solution, the DLCM can be directly applied to the practical discrete streamflow data system. However, the numerical calculation approach such as the finite difference method is often used to make the GNM practically applicable. Finally, a test example obtained by the solution of the Saint-Venant equations is used to illustrate this difference. The results show that the GNM provides a unique solution while the DLCM has multiple solutions, whose forecast precision depends upon the estimate accuracy of the current state. HIGHLIGHTS The main difference lies in the way to estimate the initial storage state.; The GNM is the unique solution of the Nash cascade model.; The DLCM is an approximate solution of the Nash cascade model.; The DLCM can be transformed to the GNM.;http://hr.iwaponline.com/content/52/6/1216discrete linear cascade modelgeneralized nash modelinitial storage stateunique solution
spellingShingle Baowei Yan
Yu Liu
Zhengkun Li
Huining Jiang
Comparison between two generalized Nash models with a same non-zero initial condition
Hydrology Research
discrete linear cascade model
generalized nash model
initial storage state
unique solution
title Comparison between two generalized Nash models with a same non-zero initial condition
title_full Comparison between two generalized Nash models with a same non-zero initial condition
title_fullStr Comparison between two generalized Nash models with a same non-zero initial condition
title_full_unstemmed Comparison between two generalized Nash models with a same non-zero initial condition
title_short Comparison between two generalized Nash models with a same non-zero initial condition
title_sort comparison between two generalized nash models with a same non zero initial condition
topic discrete linear cascade model
generalized nash model
initial storage state
unique solution
url http://hr.iwaponline.com/content/52/6/1216
work_keys_str_mv AT baoweiyan comparisonbetweentwogeneralizednashmodelswithasamenonzeroinitialcondition
AT yuliu comparisonbetweentwogeneralizednashmodelswithasamenonzeroinitialcondition
AT zhengkunli comparisonbetweentwogeneralizednashmodelswithasamenonzeroinitialcondition
AT huiningjiang comparisonbetweentwogeneralizednashmodelswithasamenonzeroinitialcondition