<p>Different surfaces and climatic conditions in various topographic regions lead to significant differences in runoff generation, concentration, and flood characteristics. Due to the absence of appropriate simulation division methods, these differences are often conflated in theoretical research and practical applications, hindering the comprehensive understanding and effective management of flood processes. The key findings are as follows: (i) This study integrated the sub-basin of mountainous and plain regions based on runoff production and infiltration mechanisms to develop a Multi-layer Hydrological Process Combination Model (MHPCM) that encompasses the entire basin and the full natural hydrological cycle, from “precipitation - flow generation - confluence - evolution”. (ii) The MHPCM model demonstrated a relatively high degree of accuracy in simulating flood events in both mountainous and plain regions, with average Nash-Sutcliffe efficiency coefficient (NSE) values of 0.756 and 0.742, respectively. In contrast, the simplified SWAT model underperformed under the same region and data conditions, with average NSE values of 0.420 and 0.373. (iii) A comparison of the results from the MHPCM and SWAT models indicates that, in the case of limited hydrological data, the MHPCM model effectively optimized parameters for both mountainous and plain regions, enabling a reliable division of flood events across different terrains regions. This MHPCM provides a novel research perspective and method for simulated sub-flood processes in distinct terrain regions, and provides valuable decision-support for the design and implementation of water conservancy projects and flood prevention.</p>

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Simulated division of flood processes in the composite terrain region based on the multi-layer hydrological process combination model

  • Qiang Hui,
  • Jungang Luo,
  • Jie Hou,
  • Huhu Cui,
  • Ganggang Zuo

摘要

Different surfaces and climatic conditions in various topographic regions lead to significant differences in runoff generation, concentration, and flood characteristics. Due to the absence of appropriate simulation division methods, these differences are often conflated in theoretical research and practical applications, hindering the comprehensive understanding and effective management of flood processes. The key findings are as follows: (i) This study integrated the sub-basin of mountainous and plain regions based on runoff production and infiltration mechanisms to develop a Multi-layer Hydrological Process Combination Model (MHPCM) that encompasses the entire basin and the full natural hydrological cycle, from “precipitation - flow generation - confluence - evolution”. (ii) The MHPCM model demonstrated a relatively high degree of accuracy in simulating flood events in both mountainous and plain regions, with average Nash-Sutcliffe efficiency coefficient (NSE) values of 0.756 and 0.742, respectively. In contrast, the simplified SWAT model underperformed under the same region and data conditions, with average NSE values of 0.420 and 0.373. (iii) A comparison of the results from the MHPCM and SWAT models indicates that, in the case of limited hydrological data, the MHPCM model effectively optimized parameters for both mountainous and plain regions, enabling a reliable division of flood events across different terrains regions. This MHPCM provides a novel research perspective and method for simulated sub-flood processes in distinct terrain regions, and provides valuable decision-support for the design and implementation of water conservancy projects and flood prevention.