Sediments accumulated in check dams are a valuable measure to estimate soil erosion rates. Here, geographic information systems (GIS) and three machine learning techniques (MARS-multivariate adaptive regression splines, RF-random forest SVM-support vector machine) were used, for the first time, predict sediment deposition rate (SR) check-dams located six watersheds SW Spain. There, 160 dry-ston...

Risk analysis methodologies can be useful tools to help decision-makers in dam safety engineering. One of the inputs needed for Quantitative Risk Analysis is an estimate of the probability of failure of the dam under study. Existing dams have been designed using the factor of safety, which is a concept associated with a certain mathematical model of the physical behavior of the dam. In dam engi...

Check dams act as soil collectors during floods, thus retaining a large amount of sediments. The estimation the volumes stored behind check dam is key activity for proper design these control works and evaluation delivery after restoration measures at watershed level. Several topographic techniques have been proposed this activity, but sediment wedge mapping tools are complex time consuming. Co...