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Article Information:
Integrated Combination of the Multi Hydrological Models by Applying the Least Square Method
Muhammad Tayyab, Jianzhong Zhou, Xiaofan Zeng, Na Zhao and Rana Adnan
Corresponding Author: Muhammad Tayyab
Submitted: January 21, 2015
Accepted: February 14, 2015
Published: May 10, 2015 |
Abstract:
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Different hydrological models show different outputs for specific catchment, thus combining all the models in suitable way is very important to improve the forecast. To solve the issue, researchers have applied different techniques which ranges from simple inter-comparison of different hydrological models to extended combination of hydrological models. The aim of this research is to find a suitable and applicable combination technique, by applying least square method to get more valuable flood forecasting results for the Jinshajiang River basin. The combination forecast has been compared with the results of the three models individually, based on the comparison of the simulation outputs and the Nash-Sutcliffe efficiency and Correlation coefficient. The result showed that the performance of combine system of three conceptual hydrological models including Xin’anjiang model, Antecedent Precipitation Index (API) model and Tank model is much more reliable as compared to their individual performance.
Key words: Combination, flood forecasting, hydrological model, least square method, , ,
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Cite this Reference:
Muhammad Tayyab, Jianzhong Zhou, Xiaofan Zeng, Na Zhao and Rana Adnan, . Integrated Combination of the Multi Hydrological Models by Applying the Least Square Method. Research Journal of Applied Sciences, Engineering and Technology, (1): 107-111.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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