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dc.contributor.authorFrancesco Dell’Aira
dc.contributor.authorAashis Sapkota
dc.contributor.authorClaudio I. Meier
dc.date.accessioned2023-04-07T00:31:44Z
dc.date.available2023-04-07T00:31:44Z
dc.date.issued2022/11/01
dc.identifier.other%28ASCE%29HE.1943-5584.0002211.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289217
dc.description.abstractDeriving unit hydrographs from rainfall-runoff data using optimization techniques circumvents the cumbersome requirements of the conventional manual method. In one of the two main ways of formulating the optimization problem, the decision variables are the individual ordinates of the unit hydrograph (UH). Because of their high number of degrees of freedom, though, such formulations can easily lead to overfitting the input hydrographs in the training set, resulting in highly irregular shapes for the derived UHs. These may be optimal for back-constructing the hydrographs in the training set, but as they do not resemble a typical hydrograph, they might not be capable of reproducing other unseen events adequately. In this work, we propose a set of linear constraints that can be included in existing optimization formulations to force the UH to feature a monotonically ascending limb, a single peak, and a monotonically receding limb. The ordinate of the peak, where the shift in monotonicity occurs, is not established in advance, but is rather determined within the optimization process. If required, the constraints can also be applied piecewise to obtain multiple peaks and troughs with monotonic limbs between them. Application to two case studies reveals that the reduction in the degrees of freedom does help in preventing overfitting of the input hydrographs, resulting in better performance when reproducing unseen events.
dc.publisherASCE
dc.titleMonotonic Linear Constraints for Deriving Realistic Optimal Unit Hydrographs
dc.typeJournal Article
dc.journal.volume27
dc.journal.issue11
dc.journal.titleJournal of Hydrologic Engineering
dc.identifier.doi10.1061/(ASCE)HE.1943-5584.0002211
dc.journal.fristpage04022028
dc.journal.lastpage04022028_19
dc.page19
dc.treeJournal of Hydrologic Engineering:;2022:;Volume ( 027 ):;issue: 011
dc.contenttypeFulltext


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