Abstract

Abstract. For specific research areas different hydrological models have shown different characteristics. By comparing different hydrological models on the same area we should get better and more authentic results. The objective of this research study is to highlight the importance of model selection for specific research areas. For the Jinshajiang River basin, three conceptual hydrological models including the Xin’anjiang model, the Antecedent precipitation index (API) model and the Tank model are applied to select the most suitable model for flood forecasting, based on the hourly rainfall and hourly discharge data. Data were analysed by comparing the simulation outputs of the three models with the Nash-Sutcliffe efficiency and Correlation coefficient index. Results showed that the performance of the three models were not very different. On the basis of data need and the characteristics of the research basin, the Xin’anjiang model was selected as the optimal and practical conceptual hydrological model for the Jinshajiang River basin.

Highlights

  • Floods are considered as the most dangerous natural hazards after storms and earthquakes

  • DESCRIPTION OF MODELS The present study is about obtaining the best results among the three hydrological models (the Xin’anjiang, Antecedent precipitation index (API) and Tank models); the literature shows much advancement and improvement in this field as well

  • After calibration and verification of the three hydrological models (Xin’anjiang, API, Tank), two typical flood events were selected from Xiangjiaba station

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Summary

Introduction

Floods are considered as the most dangerous natural hazards after storms and earthquakes. Key words flooding forecast; Xin’anjiang model; Antecedent precipitation index (API) model; Tank model; Jinshajiang River basin Some research has shown that the conceptual distributed hydrological models are applicable in the field of flood forecasting (Chen et al 2007; Yao et al 2009).

Results
Conclusion
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