黄土高原典型切沟对深层土壤有效储水量估算的影响

Gully Affects Deep Available Soil Water Storage Estimation on the Chinese Loess Plateau

  • 摘要:
    目的 研究黄土高原破碎地形土壤有效储水量时空分布特征及其估算,合理利用和管理水资源,提高植被恢复效益。
    方法 以六道沟流域地形破碎区典型切沟为研究对象,对其周边土壤水分状况进行长期定位监测,分析距切沟10 m内(D < 10 m)、10 ~ 20 m之间(10 m < D < 20 m)和20 m外(D > 20 m)土壤有效储水量时空分布特征,并通过时间稳定性方法判定的代表土层估算深层及剖面土壤有效储水量。
    结果 土壤有效储水量垂直变化分层因距切沟远近表现出差异性和复杂性。D < 10 m无相对稳定层,10 m < D < 20 m和D > 20 m相对稳定层分别为400 ~ 940 cm和600 ~ 900 cm土层。D < 10 m各土层土壤有效储水量分布状况受深层土壤水分变化影响强烈。100 cm以下土层土壤有效储水量间呈极显著正相关关系(r = 0.98, P < 0.001)。10 m < D < 20 m土壤有效储水量空间格局时间稳定性较强,不同月份土壤有效储水量的斯皮尔曼等级相关系数均值为0.91。10 m < D < 20 m土壤有效储水量估算误差和偏差小,估算方程可信度高。深层和剖面土壤有效储水量估算值与实测值绝对误差分别为−1.45 和−9.17 mm,纳什效率系数分别为0.75和0.78。
    结论 切沟影响深层土壤水分估算的准确性和可靠性,10 m < D < 20 m估算效果最佳,D < 10 m次之,D > 20 m估算效果略差。研究结果可为黄土高原地形破碎区深层土壤水分估算提供有效参考。

     

    Abstract:
    Objective  Spatiotemporal variability of available soil water storage (ASWS) increases the difficulty in water resource management and vegetation restoration in the Chinese Loess Plateau. The aims were to explore the spatial variation of ASWS and analyze the temporal stability and estimation accuracy of ASWS.
    Methods  A typical fragmented area in Liudaogou catchment was selected and the long-term data of soil moisture was monitored. Using temporal stability method, the ASWS contents in deep soil layer and soil profile were estimated through the representative soil layers.
    Results  The vertical stratification of ASWS was characterized by somewhat diversity and complexity. No relatively stable layer was observed in D < 10 m, while relatively stable layers were 400 - 940 cm and 600 - 900 cm for 10 m < D < 20 m and D > 20 m, respectively. The distribution of ASWS in each soil layer was strongly affected by the ASWS variation in deep soil layers (D < 10 m). The highly significant positive correlation was observed below 100 cm soil layer (r = 0.98, P < 0.001). The mean Spearman rank correlation coefficient among different months was 0.91 for 10 m < D < 20 m, which indicated that the spatial pattern of ASWS showed strong temporal stability. The estimation error and deviation of ASWS were small and estimation equation was highly reliable in 10 m < D < 20 m. The absolute errors between the estimated and measured values of deep ASWS and soil profile ASWS were -1.45 mm and -9.17 mm. Nash efficiency coefficients were 0.75 and 0.78.
    Conclusion  Gully affected the accuracy and reliability of deep soil moisture estimation. The most optimal estimation effect was exhibited in 10 m < D < 20 m, followed by D < 10 m, while the estimation performance was slightly worse in D > 20 m. The research results can provide an effective reference for the estimation of deep soil moisture in the fragmented terrain area on the Chinese Loess Plateau.

     

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