Simulation Accuracy of EROSION-3D Model for Estimation of Runoff and Sediment Yield from Micro-Watersheds

Abstract

The present study was conducted to test the efficiency and applicability of the EROSION-3D (Jürgen Schmidt, Berlin,Germany) model in the lower Shivaliks of Northwest India. Two similar micro-watersheds in terms of soil characteristics and land use were selected for calibration and validation of the model. The model was calibrated using the data from seven rainstorms of micro-watershed A and validated using data from 11 rainstorms in micro-watershed B. After calibration, the overall statistical parameters, namely RMSE (0.44 mm), percent error (4.92), correlation coefficient (0.94) and model efficiency (88%), clearly indicate that the model simulated runoff quite well in conditions prevalent in Shivaliks. For sediment yield, the overall statistical parameters, namely RMSE (0.365 Mg ha−1), percent error (12.71), correlation coefficient (0.97) and model efficiency (88.32%), clearly indicate that the model simulated sediment yield also quite well. During the validation process, for runoff, RMSE (1.72 mm), percent error (19.19), correlation coefficient (0.94), and model efficiency (81.25%) and, for sediment yield, RMSE (0.19 Mg ha−1), percent error (17.16), correlation coefficient (0.97), and model efficiency (74.48%) clearly demonstrate the reasonable accuracy of the EROSION-3D model to predict runoff and soil loss from micro-watersheds located in Shivaliks of Northwest India. Therefore, the EROSION-3D may be used as decision support system for soil conservation management decisions in the lower Shivaliks of India.

Using model simulation to evaluate soil loss potential in diversified agricultural landscapes

“…Erosion 3D was originally calibrated and validated within 116 rainfall simulation studies on agricultural fields in Saxony, Germany, from 1992 to 1996 (Michael, 2000) and is used in official soil erosion assessments and soil conservation programs of the Federal state of Saxony (Schmidt & Schindewolf, 2010). It was also internationally validated (Hebel, 2003; Jetten et al, 1999; Németová et al, 2020) and was utilised in numerous international soil erosion studies (Beitlerová et al, 2020; Németová et al, 2020; Singh et al, 2022). Due to its calibration and validation for typical soil types and agricultural management in eastern Germany, as well as its good documentation, Erosion 3D was chosen for this study.…”

Evaluation of land resilience against natural disasters using ecosystem services approach in Kendari City, Southeast Sulawesi, Indonesia

“…Figure 4 shows that inundation occurs in residential areas due to prolonged rains, while the rivers cannot accommodate the overflowing water (Riyanto, Rizkinia, Arief, & Sudiana, 2022;Shige-Eda, Akiyama, Duran, Kanaya, & Katsura, 2022). The puddle's dark brown color indicates that the upstream area's erosion process is intensive, so various forms of prevention, such as reforestation or the construction and checking dams, need to be carried out as soon as possible (Dunn & Minderhoud, 2022;Singh et al, 2022;Y. Wang et al, 2022).…”

Effects of the application of biochar on the soil erosion of plots of sloping agricultural and with silt loam soil

“…In conclusion, given the recommendations in the reviews and the high number of case studies in various environments (for other studies, see, e.g., Németová and Kohnová 2021;Németová et al, 2020, Singh et al, 2022Starkoff and Stolte, 2014;Tomaščík et al, 2021), the EROSION 2D/3D model was chosen to assess the impact of the application of biochar on erosion on a catchment scale.…”