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contributor authorVeber Costa
contributor authorWilson Fernandes
contributor authorÂngelo Starick
date accessioned2022-01-30T21:53:42Z
date available2022-01-30T21:53:42Z
date issued1/1/2020 12:00:00 AM
identifier other%28ASCE%29HE.1943-5584.0001873.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269017
description abstractRegional models of flow duration curves (FDC) are ubiquitous components in water resources studies, particularly in ungauged sites or in catchments with scarce monitoring. The identification of such models in arid regions, in which intermittent and ephemeral streams are common, constitutes an additional challenge in statistical hydrology applications. In this paper, we propose an alternative approach for the modeling of FDCs in null-flow conditions. First, we evaluated a set of flexible distributions frequently used in hydrology for modeling the entire range of observed streamflows, with a focus on the proper representation of intermittence and the description of the lower flows. Next, regional models for the parameters of the distributions were identified with the evolutionary polynomial regression (EPR) technique, which, although providing structurally complex equations, proved able to uncover the relationships between the characteristics of such parameters and catchments and, more importantly, preserve them in a cross-validation procedure. From a practical perspective, the decision-making processes involving water resources planning and management could be more coherently addressed in ungauged sites under the proposed framework, as compared to other established yet simpler modeling techniques.
publisherASCE
titleIdentifying Regional Models for Flow Duration Curves with Evolutionary Polynomial Regression: Application for Intermittent Streams
typeJournal Paper
journal volume25
journal issue1
journal titleJournal of Hydrologic Engineering
identifier doi10.1061/(ASCE)HE.1943-5584.0001873
page12
treeJournal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 001
contenttypeFulltext


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