| Title |
Best Management Practices Based on Erosion Risk Criteria Considering Vegetation Resilience in Large Wildfire Areas |
| Authors |
신승숙(Shin, Seung Sook);박상덕(Park, Sang Deog);이규송(Lee, Kyu Song);김기홍(Kim, Gihong) |
| DOI |
https://doi.org/10.12652/Ksce.2026.46.3.0283 |
| Keywords |
대형산불; 식생회복력; 침식위험도; 최적관리방안 Large wildfire; Vegetation resilience; Erosion risk; Best management practices |
| Abstract |
As large wildfire damage increases due to climate change, vegetation degradation and surface disturbance are elevating the risk of sediment disasters in watersheds. This study aims to propose erosion risk criteria based on vegetation changes and soil erosion data in wildfire areas, and to derive the Best Management Practices(BMPs) for wildfire sites using GIS-based SEMMA simulation results. Erosion response varied depending on vegetation type following a fire. Pine-dominated areas showed a high erosion risk due to slow vegetation recovery, whereas broadleaf-dominated areas exhibited low erosion response due to rapid vegetation recovery. In a case study, the Gangneung wildfire area in 2019 exhibited a significant decline in the Normalized Difference Vegetation Index (NDVI) due to excessive logging and surface disturbance, which subsequently led to sediment damage during heavy rainfall event. In contrast, the Uljin wildfire Watersheds in 2022 showed a significant increase in NDVI one year after the fire due to rapid vegetation recovery. Based on global erosion rate standards and domestically measured erosion rates, erosion rate criteria applicable to Korean mountainous areas were proposed and applied in the SEMMA simulation analysis. The estimated erosion rate in the Gangneung wildfire watershed increased by approximately 3.5 times due to artificial disturbance, whereas that in the Uljin wildfire watershed decreased by approximately 50 % as a result of natural vegetation recovery. These results indicate that erosion risk in wildfire-affected areas is significantly influenced not only by wildfire occurrence but also by vegetation recovery and surface disturbance. In this study, SEMMA-based BMPs, which consider erosion risk criteria and vegetation resilience, are expected to be actively utilized in establishing management plans for forest ecosystem restoration and the reduction of sediment disasters in wildfire areas. |