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Entropy, Volume 21, Issue 10 (October 2019)
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Cover Story (view full-size image) Entropy applications in hydrometric network design problems have been extensively studied in the [...] Read more. Entropy applications in hydrometric network design problems have been extensively studied in the most recent decade. This paper introduces a methodology called ensemble-based dual entropy and multiobjective optimization (EnDEMO), which considers uncertainty from the ensemble generation of the input data. First, the current network was evaluated by transinformation analysis. Then, the optimal networks were explored using the traditional deterministic network design method and the newly proposed ensemble-based method. A comparison of the results shows that the most frequently selected stations by EnDEMO were fewer and appeared more reliable for practical use. The maps of station selection frequency from both DEMO and EnDEMO allowed us to identify preferential locations for additional stations; however, EnDEMO provided a more robust outcome than the traditional approach. View this paper.