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川北丘陵区降雨对黄壤裸地坡面产流产沙的影响

Effects of rainfall on runoff and sediment yield on yellow soil bare slope in hilly region of northern Sichuan

  • 摘要:
    目的 川北丘陵区水土流失问题突出,明确自然降雨条件下典型土壤的产流产沙机制,是实现区域水土流失精准防控的重要科学问题。
    方法 基于川北丘陵区黄壤裸地径流小区,利用雨量计、野外观测与室内测定获取降雨、径流及产沙数据,采用逐步回归与通径分析法筛选关键降雨因子并量化其影响程度。
    结果 1)2014—2022年共发生138场侵蚀性降雨,分布于4—10月;2)多年平均径流深与土壤流失量分别为197 mm和1057.63 t/km2;3)逐步回归筛选出降雨侵蚀力(R)、降雨量(P)、最大30 min降雨强度(I30)和降雨历时(D)是影响径流深的主要因子,土壤流失量的关键驱动因子为RI30D;4)通径分析显示,R对径流深直接正效应最强(0.692),并与其他指标协同使总效应提升至0.906;I30虽直接抑制径流,但通过与其他因子(RP)的强间接正效应(0.722),综合表现为显著促进作用(0.501);土壤流失量主要受R直接驱动(0.836),I30直接通径系数为负,但与R协同产生间接正效应,整体仍促进土壤流失。
    结论 本研究明确了降雨多因子交互对坡面产流产沙的定量影响,揭示出R为关键影响因子,为区域土壤侵蚀模型参数优化及水土保持措施时空配置提供科学依据。

     

    Abstract:
    Objective Soil erosion is a prominent issue in the hilly region of northern Sichuan. Understanding the mechanism of runoff and sediment yield in typical soil under natural rainfall conditions is crucial for the precise prevention and control of regional soil and water loss.
    Methods Based on a bare runoff plot of yellow soil in the hilly region of northern Sichuan, rainfall, runoff, and sediment yield data were obtained using rain gauges, field observations, and laboratory measurements. Key rainfall factors were identified and their influence quantified through stepwise regression and path analysis.
    Results 1) A total of 138 erosive rainfall events occurred from 2014 to 2022, distributed from April to October. 2) The multi-year average runoff depth was 197 mm and soil loss amount was 1 057.63 t/km2. 3) Stepwise regression identified that rainfall erosivity (R), rainfall (P), maximum 30 min rainfall intensity (I30), and rainfall duration (D) were primary factors influencing runoff depth. For soil loss amount, the key driving factors were R, I30, and D. 4) Path analysis revealed that R had the strongest direct positive effect on runoff depth (0.692), and its synergy with other factors increased the total effect to 0.906. Although I30 exhibited a direct negative effect on runoff, its strong positive indirect effect (0.722) with other factors (R and P) resulted in a significant overall positive effect (0.501). Soil loss amount was primarily directly driven by R (0.836). While I30 had a negative direct path coefficient, its synergistic indirect positive effect with R indicated that it still promoted soil loss in general.
    Conclusions This study quantifies the interactive effects of multiple rainfall factors on slope runoff and sediment yield. It reveals that R is the key influencing factor. These findings provide a scientific basis for optimizing regional soil erosion model parameters and spatiotemporal configuration of soil and water conservation measures.

     

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