Markus Disse

TL;DR: In this paper, the authors explore how flood risk management may be adapted to address processes of uncertain future change and identify a range of levels at which change may be incorporated in decision making: in the representation of uncertain non-stationary quantities, in the rules that are used to identify preferred options; in the variety of options that may be contemplated for flood-risk management; and in the scope of problem definition, which increasingly extends to address multiple hazards and multiple functions of river basins.

TL;DR: Evaluation of high spatial resolution gridded precipitation products in Adige Basin located in Italy shows that in terms of overall statistical metrics the CHIRPS, TRMM and CMORPH_BLD comparably rank as the top three best performing products, while the PGF performs worst.

TL;DR: This study has shown that precipitation is the main source of uncertainty, and different precipitation datasets in SWAT models lead to different best estimate ranges for the calibrated parameters, which has important implications for the interpretation of the simulated hydrological processes.

TL;DR: In this paper, two fuzzy logic-based models are presented for the infiltration process, which are derived from a training set which was obtained from several test runs of a Green and Ampt (GA) infiltration model.

TL;DR: In this paper, the authors analyzed the hydrological regime of the Rhine catchment, the genesis of recent floods, and recommended some research and practical activities to mitigate flood damage.