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Open AccessArticle

Optimal Stream Gauge Network Design Using Entropy Theory and Importance of Stream Gauge Stations

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
3
Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology, Ilsan 10223, Korea
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(10), 991; https://doi.org/10.3390/e21100991
Received: 14 August 2019 / Revised: 27 September 2019 / Accepted: 9 October 2019 / Published: 11 October 2019
(This article belongs to the Section Information Theory, Probability and Statistics)
Stream gauge stations are facilities for measuring stream water levels and flow rates, and their main purpose is to produce the data required to analyze hydrological phenomena. However, there are no specific criteria for selecting the locations and installation densities of stream gauge stations, which results in numerous problems, including regional imbalances and overlapping. To address these issues, a stream gauge network was constructed in this study considering both the transinformation of entropy (objective function 1) and the importance of each stream gauge station (objective function 2). To account for both factors, the optimal combinations that satisfied the two objective functions were determined using the Euclidean distance. Based on the rainfall runoff analysis results, unit hydrographs reflecting stream connectivity were derived and applied to entropy theory. The importance of each stream gauge station was calculated considering its purposes, such as flood control, water use, and environment. When this method was applied to the Namgang Dam Basin, it was found out that eight out of 12 stream gauge stations were required. The combination of the selected stations reflected both the transinformation of entropy and the importance of each station.
Keywords: stream gauge network; entropy; station rating; Euclidean distance stream gauge network; entropy; station rating; Euclidean distance
MDPI and ACS Style

Joo, H.; Lee, J.; Jun, H.; Kim, K.; Hong, S.; Kim, J.; Kim, H.S. Optimal Stream Gauge Network Design Using Entropy Theory and Importance of Stream Gauge Stations. Entropy 2019, 21, 991.

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