Stochastic hydrology based on aggregated and semidistributed models

Stochastic hydrology based on aggregated and semidistributed models

Learning about the actual as well as the theoretical behavior of a river basin in terms of water flow, sediment and substances is of great importance. The watershed transform  depending on climate factors, soil properties (edaphology, usage, etc) and due to the structure of the network itself.  Identifying the dominating processes and mechanisms is one of the main goals of hydrology and amongst its practical applications we find the characterizationa nd provision of average and extreme flows  within a river segment.

HEre at IH, we utilize this knowledge to design improvements for a more adewuate water management.

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