This study proposes variable balancing approaches for the exploration (diversification) and exploitation (intensification) of the non-dominated sorting genetic algorithm-II (NSGA-II) with simulated binary crossover (SBX) and polynomial mutation (PM) in the multiobjective automatic parameter calibration of a lumped hydrological model, the HYMOD model. Two objectives—minimizing the percent bias a...

[1] With growing interest in understanding the magnitudes and sources of uncertainty in hydrological modeling, the difficult problem of characterizing model structure adequacy is now attracting considerable attention. Here, we examine this problem via a model-structureindependent approach based in information theory. In particular, we (a) discuss how to assess and compute the information conten...

Hydrological modeling is an important tool for water resources management, providing a feasible solution to represent the main hydrological processes and predict future streamflow regimes. The literature presents set of models commonly used rainfall-runoff process in watersheds with different meteorological geomorphological characteristics. response such could differ significantly single precip...

rainfall-runoff modeling is most important component in the water resource management of river basins. the successful application of a conceptual rainfall-runoff model depends on how well it is calibrated. the degree of difficulty in solving the global optimization method is generally dependent on the dimensionality of the model and certain of the characteristics of object function. the purpose...

The typical framework of the climate change impact assessment on water resources relies plausible scenarios obtained from global models (GCMs) and hydrological (HMs). Although regional (RCMs) can better simulate local at a high-resolution grid, direct use model outputs RCMs is not recommended as inputs for HMs due to systematic error. Existing studies have focused bias correction (BC) without c...

The assessment of seasonal streamflow forecasting is essential for appropriate water resource management. A suitable system requires the evaluation both numerical weather prediction (NWP) and hydrological models to represent atmospheric processes conditions in a specific region. In this paper, we evaluated ECMWF-SEAS5 precipitation product with four forecasts performed at hydropower plants Lega...

Abstract Changes in climate intensity and frequency, including extreme events, heavy intense rainfall, have the greatest impact on water resource management flood risk management. Significant changes air temperature, precipitation, humidity are expected future due to change. The influence of change hazards is subject considerable uncertainty that comes from model discrepancies, bias correction ...