杨瀛,胡卸文,王严,等. 2021.火后泥石流流域坡面侵蚀物源动储量估算方法探讨[J].工程地质学报,29(1):151-161. doi:10.13544/j.cnki.jeg.2020-008. DOI: 10.13544/j.cnki.jeg.2020-008
    引用本文: 杨瀛,胡卸文,王严,等. 2021.火后泥石流流域坡面侵蚀物源动储量估算方法探讨[J].工程地质学报,29(1):151-161. doi:10.13544/j.cnki.jeg.2020-008. DOI: 10.13544/j.cnki.jeg.2020-008
    Yang Ying, Hu Xiewen, Wang Yan, et al. 2021. Preliminary study on methods to calculate dynamic reserves of slope erosioning materials transported by post-fire debris flow[J]. Journal of Engineering Geology, 29(1): 151-161. doi: 10.13544/j.cnki.jeg.2020-008.
    Citation: Yang Ying, Hu Xiewen, Wang Yan, et al. 2021. Preliminary study on methods to calculate dynamic reserves of slope erosioning materials transported by post-fire debris flow[J]. Journal of Engineering Geology, 29(1): 151-161. doi: 10.13544/j.cnki.jeg.2020-008.

    火后泥石流流域坡面侵蚀物源动储量估算方法探讨

    PRELIMINARY STUDY ON METHODS TO CALCULATE DYNAMIC RESERVES OF SLOPE EROSIONING MATERIALS TRANSPORTED BY POST-FIRE DEBRIS FLOW

    • 摘要: 火后泥石流具有易发、突发等特征,尤其在林火发生当年异常活跃,林火干扰会加剧土壤侵蚀,若将常规泥石流坡面侵蚀物源动储量估算方法应用于火后泥石流将使计算结果偏小,会导致拦砂坝等治理工程库容设计有效性不足。本文采用修正通用土壤流失方程(RUSLE),以四川省雅江县八角楼乡火烧迹地D4流域为例,通过野外调查、室内外试验、遥感解译等手段,计算了研究区的坡面侵蚀物源动储量。结果表明:在火后5年内,D4流域坡面侵蚀物源动储量约为3.28×104 m3,中度和重度火烧区贡献量较大,合计占比高达93.90%。随着后期植被恢复和土壤物理及水文地质性质改善,坡面土壤侵蚀模数将会降低,坡面侵蚀物源动储量也随之减少。该研究成果对火后泥石流应急治理工程(如拦砂坝等)的库容、结构设计具有指导借鉴意义。

       

      Abstract: Severe forest fire often greatly increases soil erosion rate. The existing methods to predict the soil loss on the slope are not suitable for the post-fire debris flow. However, the soil erosion prediction models are essential for planning post fire emergency responses. We attempt to use the RUSLE model to estimate the potential post fire soil loss for the D4 basin in Ba Jiaolou town, China, burnt in 2018. We comprehensively carry out the field investigation, indoor and outdoor experiments, and remote sensing interpretation. Results show that the total volume of the soil loss on the slope during the first five years post fire in D4 watershed is 3.28×104 m3, and the contribution from the heavy and moderate burnt area reaches up to 93.90%. By comparing the investigating data and the predicting data, we finally conclude that the RUSLE modle is effective for predicting the volume of the soil loss transported by the post-fire debris flow. It can provide some references for emergency response to the post-fire debris flow.

       

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