Models are typically applied to estimate the potential adverse effects of fire on land degradation and water resources and the potential benefits of post-wildfire rehabilitation treatments. However, few modeling studies have been conducted for meso-scale catchments, and only a fraction of these studies include transport and deposition of eroded material within the catchment or represent spatial erosion patterns. This study presents an application and evaluation of the OpenLISEM physically-based and spatially-distributed hydrological and soil erosion model for a burned Mediterranean meso-scale catchment (18.5 km²) in a data-scarce environment, using a robust parameterization and calibration procedure: (1) integrating satellite imagery and the topographic wetness index to support model parameterization; (2) event-based automated calibration using the Model-Independent Parameter Estimation and Uncertainty Analysis and parameters ensemble for before and after the fire; (3) a jack-knife cross-validation for model evaluation. The study shows that this procedure used in OpenLISEM provides reasonable results for pre- and post-wildfire catchment discharge and sediment transport (r² and NSE > 0.5; absolute PBIAS < 25% for discharge and 55% for sediment transport). This may serve the needs of model applications in data-scarce burned areas. The results also provide recommended model parameters for burned areas with high severity such as random roughness (rr) = 2.41 cm, and slope manning’s n (n) = 0.038; or post-wildfire to pre-wildfire ratios of model parameters such as saturated hydraulic conductivity (K_s) = 0.98×, channel manning’s n (chn) = 0.44×, grain size (d50) = 0.61 × . The simulation results indicate that wildfire did not lead to significantly enhanced hydrological responses and soil erosion at the catchment outlet, partly explained by the spatial patterns of soil erosion. For both pre- and post-wildfire conditions, higher soil erosion was simulated in areas located far from the catchment outlet. The wildfire led to enhanced hillslope erosion, mostly in the upper part of the catchment, providing ample opportunities for transported sediment to deposit before reaching the outlet.

模型通常用于估计火灾对土地退化和水资源的潜在不利影响以及野火后恢复处理的潜在好处。然而，很少有建模研究已经为进行内消旋进制集水，并且只有这些研究的一小部分包括流域内运输和侵蚀材料的沉积或表示空间侵蚀模式。这项研究提出了在OpenLISEM基于物理和空间分布的水文和土壤侵蚀模型的应用和评价烧毁地中海观进制流域（18.5公里²) 在数据稀缺的环境中，使用稳健的参数化和校准程序： (1) 整合卫星图像和地形湿度指数以支持模型参数化；(2) 使用与模型无关的参数估计和不确定性分析以及火灾前后的参数集合进行基于事件的自动校准；(3) 用于模型评估的千斤顶交叉验证。研究表明，OpenLISEM 中使用的这个程序为野火前后的集水区排放和沉积物输送提供了合理的结果 (r ²并且 NSE > 0.5；排放的绝对 PBIAS < 25% 和沉积物运输的 55%）。这可以满足数据稀缺烧毁区域中模型应用程序的需求。结果还为具有高严重性的烧毁区域提供了推荐的模型参数，例如随机粗糙度（rr）= 2.41 cm，坡度曼宁的n（n）= 0.038；或模型参数的野火后与野火前的比率，例如饱和导水率 ( K _s) = 0.98×，通道曼宁的 n (chn) = 0.44×，晶粒尺寸 (d50) = 0.61 × 。模拟结果表明，野火并未导致流域出口处的水文响应和土壤侵蚀显着增强，部分原因是土壤侵蚀的空间格局。对于野火前后的情况，在远离集水区出口的地区模拟了较高的土壤侵蚀。野火导致山坡侵蚀加剧，主要是在集水区的上部，为运输的沉积物在到达出口之前沉积提供了充足的机会。