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

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.