考虑坡面沟流的土壤含水量精细化模拟及应用

Elaborate simulation of dynamic soil moisture considering gully flow

  • 摘要: 为了精细化模拟土壤含水量时空动态过程,量化考虑坡面沟流对下坡向沿程土壤含水量的影响,将流域离散为若干正交的栅格单元,建立考虑坡面沟流的分布式降雨径流模型(Grid-XAJ-SS),概化坡面水流经由沟道系统的汇集过程,设计栅格单元间水流沿程再分配机制,精细化模拟土壤含水量。研究结果表明:Grid-XAJ-SS模拟的五强溪区间流域2014—2024年洪水的径流深相对误差和洪峰相对误差绝对值的均值分别约为4.7 %和5.5 %,土壤含水量空间分布与降雨中心位置的相关系数为0.66,和LPRM AMSR2产品在不同区域间变化的秩相关系数为0.47;考虑坡面沟流的百米分辨率、小时尺度土壤含水量模拟结果可以合理反映出土壤饱和区域由狭长河谷向坡面上溯扩展、最终形成块状连续区域的动态过程;土壤含水量空间分布变化与降雨过程合理相关,并与土壤墒情站点监测结果较为一致,不同区域的土壤水含量相对大小规律与卫星遥感反演的LPRM AMSR2土壤水产品具有显著相关关系,并且其结果能够为高精度的径流模拟提供保障。

     

    Abstract: The study aimed to simulate soil moisture dynamics incorporating gully slope flow processes. The watershed was first discretized into a series of orthogonal grid cells. Then, a distributed rainfall-runoff model (Grid-XAJ-SS) considering slope gully flow mechanisms was developed. The model also accounted for channel flow movement emphasizing the lateral flow redistribution mechanism between adjacent grid cells along the slopes. The model was validated through multiple flood events (2014—2024) in the Wuqiangxi inter-basin watershed, showing runoff depth errors ranging from − 3.2% to 2% and peak flow relative errors between 2% and 5%. The simulated soil moisture distribution exhibited a correlation coefficient of 0.66 with precipitation patterns, whereas spatial variations exhibited a rank correlation coefficient of 0.47 as compared to those exhibited by LPRM AMSR2 satellite data. These results indicate that the Grid-XAJ-SS effectively simulated a high-precision runoff and elaborated the spatiotemporal dynamics of soil moisture. The simulated soil moisture patterns were physically consistent with rainfall distribution characteristics and spatially coherent with satellite-derived moisture observations.

     

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