water Article A Statistical Vertically Mixed Runoff Model for Regions Featured by Complex Runoff Generation Process Peng Lin 1,2, Pengfei Shi 1,2,*, Tao Yang 1,2,*, Chong-Yu Xu 3, Zhenya Li 1 and Xiaoyan Wang 1 1 State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;
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[email protected] (X.W.) 2 College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China 3 Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, Norway;
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[email protected] (T.Y.) Received: 6 June 2020; Accepted: 11 August 2020; Published: 19 August 2020 Abstract: Hydrological models for regions characterized by complex runoff generation process been suffer from a great weakness. A delicate hydrological balance triggered by prolonged wet or dry underlying condition and variable extreme rainfall makes the rainfall-runoff process difficult to simulate with traditional models. To this end, this study develops a novel vertically mixed model for complex runoff estimation that considers both the runoff generation in excess of infiltration at soil surface and that on excess of storage capacity at subsurface. Different from traditional models, the model is first coupled through a statistical approach proposed in this study, which considers the spatial heterogeneity of water transport and runoff generation. The model has the advantage of distributed model to describe spatial heterogeneity and the merits of lumped conceptual model to conveniently and accurately forecast flood.