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      Assessment of a Stream Gauge Network Using Upstream and Downstream Runoff Characteristics and Entropy

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          Abstract

          A method for constructing a stream gauge network that reflects upstream and downstream runoff characteristics is assessed. For the construction of an optimal stream gauge network, we develop representative unit hydrographs that reflect such characteristics based on actual rainfall–runoff analysis. Then, the unit hydrographs are converted to probability density functions for application to entropy theory. This allows a comparison between two cases: one that considers the upstream and downstream runoff characteristics of a core dam area in South Korea, and another that uses empirical formula, which is an approach that has been widely used for constructing the stream gauge network. The result suggests that the case of a stream gauge network that considers upstream and downstream runoff characteristics provides more information to deliver, although the number of selected stream gauge stations of this case is less than that of the case that uses the empirical formula. This is probably because the information delivered from the constructed stream gauge network well represents the runoff characteristics of the upstream and downstream stations. The study area, the Chungju Dam basin, requires 12 stream gauge stations out of the current total of 18 stations for an optimal network that reflects both upstream and downstream runoff characteristics.

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          An entropy approach to data collection network design

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            Entropy as a measure of hydrologic data uncertainty and model performance

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              Forward Prediction of Runoff Data in Data-Scarce Basins with an Improved Ensemble Empirical Mode Decomposition (EEMD) Model

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                Author and article information

                Journal
                Entropy (Basel)
                Entropy (Basel)
                entropy
                Entropy
                MDPI
                1099-4300
                10 July 2019
                July 2019
                : 21
                : 7
                : 673
                Affiliations
                [1 ]Department of Civil Engineering, Inha University, Incheon 22212, Korea
                [2 ]Department of Civil Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea
                Author notes
                [* ]Correspondence: kjihito@ 123456seoultech.ac.kr ; Tel.: +82-2-970-6570
                Author information
                https://orcid.org/0000-0001-8345-0610
                Article
                entropy-21-00673
                10.3390/e21070673
                7515170
                f1a6848e-eee8-4982-8e15-7c12c1e10329
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 12 April 2019
                : 07 July 2019
                Categories
                Article

                stream gauge network,entropy theory,unit hydrograph,runoff characteristic

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