基于山区地表空间异质性的产流计算研究

    Study on runoff calculation based on surface spatial heterogeneity in mountainous areas

    • 摘要: 山区流域地表空间较大的差异性是影响产流计算准确性的重要制约因素。基于山区流域地表空间异质性及其垂向传导性,提出了考虑“土壤质地-土壤容重-地形坡度-土地利用类型”垂向空间四级叠加的主导产流机制辨析框架,利用GIS空间分析技术划分单一径流成分主导的水文响应单元,并构建分布式产流计算模型;选择淮河下孤山水文站控制流域为研究区,基于1980~2021年20场洪水进行实例验证。结果表明:流域易发生饱和地面径流、超渗地面径流、壤中径流和地下径流的空间占比分别为33.00%,0.80%,34.27%,31.93%;产流计算模型的平均径流深相对误差绝对值为11.12%,确定系数为0.98,计算结果相对可靠。这一研究验证了所提出的产流辨析方法、水文响应单元划分及产流计算模型构建的合理性,可为山区暴雨洪水产流计算提供技术参考。

       

      Abstract: The significant spatial heterogeneity of the mountainous basin′s surface is a crucial restrictive factor affecting the accuracy of runoff calculation.Based on the spatial heterogeneity of the mountainous basin′s surface and its vertical transfer characteristics, we proposed a dominant runoff identification framework, which integrates vertical spatial heterogeneity through a four-tier system of soil texture, soil bulk density, topographic slope, and land use.Hydrological response units (HRUs) dominated by a single runoff component were delineated using GIS spatial analysis techniques, and a distributed runoff calculation model was developed.The Xiagushan Hydrological Station control basin in the Huaihe River was chosen as the study area, and the model was validated with data from 20 flood events from 1980 to 2021.The results indicate that runoff components in the watershed are distributed as follows: saturated overland flow (33.00%), Hortonian overland flow (0.80%), interflow (34.27%), and groundwater flow (31.93%).The relative error absolute value of the average runoff depth of the model is 11.12%, and the coefficient of determination is 0.98, indicating that the calculation results are relatively reliable.This study verifies the rationalities of the proposed runoff identification method, HRU delineation, and the development of the runoff calculation model, offering a novel approach to runoff calculations in mountainous flood events.

       

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