Wildfires are one of the most widespread factors of ecosystem degradation around the world. The present note reports the first experimental results of a wider-scale research project, whose aim is to develop methods for the analysis and the collection of field data, by means of a multidisciplinary approach, to evaluate land erosion hazard. The experimental area is located in Mediterranean basin, on a steep slope in a hilly area of north-western Sardinia, Italy, where a human caused fire occurred in August 2013. The area is mainly covered by the typical Mediterranean vegetation. The object of this study is monitoring the erosion risk through the application of ERMIT (Erosion Risk Management Tool) model in a burned area. The forest fire spread through the study area in August 2013 and the burn severity has been moderate. After the fire, sediment fences were installed to trap sediment eroded by natural rainfall. Precipitation at the site at the site was recorded at 0.2 mm intervals using a tipping bucket rain gauge. Soil erosion rates from experimental plots were measured and estimated with silt fences technique taking into account different slopes and vegetation distribution patterns. The study aims to compare the results obtained by ERMIT model application and post-fire sediment yields measured in the study area. ERMiT is a web-based application developed by USDA that uses Water Erosion Prediction Project (WEPP) technology to estimate erosion, in probabilistic terms, on burned lands with and without the application of erosion mitigation treatments. Data inputs are: climate parameters, vegetation type, soil type, topography, and soil burn severity class. The above parameters were applied to the ERMIT model and it was possible to predict the probably erosion risk for the next 5 years. The application of the model shows that the area with the higher slope is more exposed to erosion risk compared to the less steep area. The data of sediment yields, obtained from the monitoring of silt fences, still in progress, will be compared with those obtained from the model ERMIT for the calibration and validation of the model.
Monitoring erosion risk with ERMIT model: a case study in North Sardinia, Italy
Canu A;Ventura A;
2014
Abstract
Wildfires are one of the most widespread factors of ecosystem degradation around the world. The present note reports the first experimental results of a wider-scale research project, whose aim is to develop methods for the analysis and the collection of field data, by means of a multidisciplinary approach, to evaluate land erosion hazard. The experimental area is located in Mediterranean basin, on a steep slope in a hilly area of north-western Sardinia, Italy, where a human caused fire occurred in August 2013. The area is mainly covered by the typical Mediterranean vegetation. The object of this study is monitoring the erosion risk through the application of ERMIT (Erosion Risk Management Tool) model in a burned area. The forest fire spread through the study area in August 2013 and the burn severity has been moderate. After the fire, sediment fences were installed to trap sediment eroded by natural rainfall. Precipitation at the site at the site was recorded at 0.2 mm intervals using a tipping bucket rain gauge. Soil erosion rates from experimental plots were measured and estimated with silt fences technique taking into account different slopes and vegetation distribution patterns. The study aims to compare the results obtained by ERMIT model application and post-fire sediment yields measured in the study area. ERMiT is a web-based application developed by USDA that uses Water Erosion Prediction Project (WEPP) technology to estimate erosion, in probabilistic terms, on burned lands with and without the application of erosion mitigation treatments. Data inputs are: climate parameters, vegetation type, soil type, topography, and soil burn severity class. The above parameters were applied to the ERMIT model and it was possible to predict the probably erosion risk for the next 5 years. The application of the model shows that the area with the higher slope is more exposed to erosion risk compared to the less steep area. The data of sediment yields, obtained from the monitoring of silt fences, still in progress, will be compared with those obtained from the model ERMIT for the calibration and validation of the model.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
