Integrating hybrid runoff generation mechanism into variable infiltration capacity model to facilitate hydrological simu
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ORIGINAL PAPER
Integrating hybrid runoff generation mechanism into variable infiltration capacity model to facilitate hydrological simulations Youjiang Shen1,2 • Dedi Liu1,2 • Jiabo Yin1,2 • Lihua Xiong1 • Pan Liu1 Accepted: 19 September 2020 Ó Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Hydrological models of simulating the process of runoff generation play a pivotal role to predict the dynamic hydrological fluxes and states. In order to describe the process of runoff generation, three mechanisms (i.e., Dunne, Horton and Subsurface flow mechanisms) have been developed and widely applied in hydrological model. Due to the heterogeneity of underlying surface conditions (e.g., soil properties, topography and antecedent soil moisture) and meteorological factors, a complex runoff generation process pattern formed by more than one mechanism can often be found at different spatiotemporal scales. A novel hybrid runoff generation mechanism has been proposed to simultaneously incorporate Horton, Dunne and Subsurface flow mechanisms and describe the dynamic processes of runoff generation. And a modified variable infiltration capacity (VIC) model based on this novel hybrid runoff generation mechanism has been developed to simulate more authentic rainfall-runoff generation processes. In order to test the performance of our modified VIC model, the upper reach of Hanjiang River basin with varying climate conditions is selected as a case study. Results show that the modified VIC model not only performs as well as the benchmark model with respect to streamflow simulation, but also the complex dynamic process of rainfall-runoff generation can be clearly described based on the hybrid mechanism. Our study reinforces model development on the authentic processes of rainfall-runoff generation in distributed hydrological models. Keywords Heterogeneity Horton flow Dunne flow Subsurface flow Variable infiltration capacity (VIC) GLUE
1 Introduction Hydrological models play a pivotal role in scientific research and engineering applications, providing beneficial insights to understand and predict hydrological fluxes and states in water cycle (Baroni et al. 2019; Krogh et al. 2017). With the accelerating development of computation performance, distributed hydrological models have been the mainstream in the community of hydrological model (Hrachowitz and Clark 2017). Unlike the lumped models,
& Dedi Liu [email protected] 1
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
2
Present Address: Hubei Key Laboratory of Water System Science for Sponge City Construction, Wuhan University, Wuhan 430072, China
which consider the catchment as a whole, distributed models can account for the spatiotemporal dynamics of hydrological processes based on the rainfall-runoff response (Yang et al. 2019). However, the simulation of hydrological processes varies with the purposes of model application (Bierkens et al. 2015). There are tremendous variabilities ha
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