Sensitivity Analysis in Mean Annual Sediment Yield Modeling with Respect to Rainfall Probability Distribution Functions

An accurate estimation of the mean annual sediment yield from basins contributes to optimizing water resources planning and management. More specifically, both reservoir sedimentation damage caused infrastructures fall within its field application. Through a simple probabilistic combination function implemented in hydrometeorological models, this can be estimated on management scale for ungauged basins. This methodology requires use probability distribution functions model design storms. Within these functions, SQRT-ET max log-Pearson type III are currently highlighted applied hydrology. Although Gumbel is also relevant, has progressively declined, as it been considered underestimate precipitation depth flow discharge high return periods, compared functions. The quantification through models will ultimately affected by choice function. following four different were studied: I with small sample size, large max. To illustrate this, Alto Palmones basin (South Iberian Peninsula). In paper, shown that application yield, provides values conservative side, respect