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秦岭矿区边坡生态修复植被优选及抗冲刷性能分析

Optimal selection of vegetation and erosion resistance analysis for ecological restoration of slopes in Qinling mining area

  • 摘要:
    目的 针对秦岭矿区露采边坡植被恢复慢、强降雨下径流冲刷明显等问题,本文围绕喷播护坡中适宜植物筛选依据不足,以及喷播时间、降雨强度等共同作用下抗冲刷性能演化规律不明确的问题,开展植物优选与坡面抗冲刷性能研究。
    方法 选取高羊茅、黑麦草、狗牙根、刺槐、胡枝子、紫穗槐和紫花苜蓿等7种常见护坡植物开展室外培育试验,从生长指标及固土指标分析不同植物对喷播基材的适应性。同时,以生长表现最优的黑麦草为研究对象,利用室内人工降雨模拟系统,在不同喷播时间(24 h、7 d、21 d、35 d)和降雨强度(10、30、50 mm/h)条件下探究坡面径流形成与抗冲刷性能变化规律。
    结果 1)黑麦草与高羊茅生长表现优异,紫花苜蓿固土效果较好,可作为秦岭矿区喷播护坡的优选植物;2)径流率与降雨强度呈显著正相关,30和50 mm/h条件下的平均径流率分别约为10 mm/h的2.1倍和4.5倍;径流率随喷播时间延长持续下降,相较24 h,7 d、21 d与35 d分别降低约8.0%、18.6%与29.4%。抗冲刷系数在随喷播时间增长中有所提升,35 d时约为24 h的1.47倍;而在强降雨50 mm/h下,其抗冲刷系数仅为10 mm/h的42%;3)基于不同喷播时间与降雨强度获得的径流量与抗冲刷系数建立幂函数模型,拟合精度高(R2 > 0.94)。
    结论 秦岭矿区喷播护坡植物选取应兼顾早期覆盖与根系固土作用,黑麦草、高羊茅和紫花苜蓿具有较好的应用潜力,喷播养护时间是提升坡面抗冲刷能力的重要因素。研究为矿区边坡生态修复中的植物配置、喷播时序安排和降雨冲刷风险控制提供了参考。

     

    Abstract:
    Objective The ecological restoration of mining area slopes in the Qinling Mountains faces significant challenges due to harsh environmental conditions, including fragile geology, vegetation degradation, and severe soil erosion. Conventional slope protection methods often lack sufficient ecological integration and effective soil retention capacity. In response, this study focuses on enhancing the greening effect and erosion resistance of hydroseeding slope protection by selecting optimal vegetation species and evaluating the erosion resistance of slopes under different treatment conditions.
    Methods Seven common slope protection plants—Festuca elata, Lolium perenne, Cynodon dactylon, Robinia pseudoacacia, Lespedeza bicolor, Amorpha fruticosa, and Medicago sativa—were cultivated in an outdoor experimental setup. Growth performance and soil-fixing capacity were measured to evaluate species adaptability to hydroseeding substrates. Based on superior growth and soil stabilization performance, L. perenne was selected for further study. Using a laboratory rainfall simulation system, this study investigated runoff generation and erosion resistance under four hydroseeding times (24 h, 7 d, 21 d, 35 d) and three rainfall intensities (10, 30, 50 mm/h), simulating real slope conditions.
    Results 1) The outdoor trials revealed that L. perenne and F. elata exhibited excellent growth and adaptability, while M. sativa showed high soil stabilization potential. Therefore, they can be considered as preferred plant species for hydroseeding-based slope protection in the Qinling mining area. 2) Indoor rainfall simulation demonstrated that runoff rates were significantly and positively correlated with rainfall intensity. The average runoff rates at 30 mm/h and 50 mm/h were approximately 2.1 and 4.5 times those at 10 mm/h, respectively. Runoff rates decreased progressively with longer curing time, with reductions of about 8.0%, 18.6%, and 29.4% at 7 d, 21 d, and 35 d, respectively, compared to 24 h. The erosion resistance coefficient increased with curing time, with the value at 35 d being approximately 1.47 times that at 24 h. However, under high-intensity rainfall (50 mm/h), the erosion resistance coefficient dropped sharply to only 42% of the value under 10 mm/h. 3) Power function models were developed to describe the relationships between runoff, erosion resistance, rainfall intensity, and curing time, with high fitting accuracy (R2 > 0.94).
    Conclusions For hydroseeding-based slope protection in the Qinling mining area, plant selection should consider both rapid early-stage vegetation cover and root-induced soil reinforcement. Ryegrass, tall fescue, and alfalfa therefore show good application potential, while the post-hydroseeding maintenance period is an important factor in improving slope resistance to runoff erosion. These findings provide a useful reference for plant configuration, hydroseeding scheduling, and rainfall-induced erosion risk control in the ecological restoration of mining slopes.

     

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