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Optimal Stream Gauge Network Design Using Entropy Theory and Importance of Stream Gauge Stations
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, wh...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514323/ http://dx.doi.org/10.3390/e21100991 |
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author | Joo, Hongjun Lee, Jiho Jun, Hwandon Kim, Kyungtak Hong, Seungjin Kim, Jungwook Kim, Hung Soo |
author_facet | Joo, Hongjun Lee, Jiho Jun, Hwandon Kim, Kyungtak Hong, Seungjin Kim, Jungwook Kim, Hung Soo |
author_sort | Joo, Hongjun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7514323 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75143232020-11-09 Optimal Stream Gauge Network Design Using Entropy Theory and Importance of Stream Gauge Stations Joo, Hongjun Lee, Jiho Jun, Hwandon Kim, Kyungtak Hong, Seungjin Kim, Jungwook Kim, Hung Soo Entropy (Basel) Article 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. MDPI 2019-10-11 /pmc/articles/PMC7514323/ http://dx.doi.org/10.3390/e21100991 Text en © 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/). |
spellingShingle | Article Joo, Hongjun Lee, Jiho Jun, Hwandon Kim, Kyungtak Hong, Seungjin Kim, Jungwook Kim, Hung Soo Optimal Stream Gauge Network Design Using Entropy Theory and Importance of Stream Gauge Stations |
title | Optimal Stream Gauge Network Design Using Entropy Theory and Importance of Stream Gauge Stations |
title_full | Optimal Stream Gauge Network Design Using Entropy Theory and Importance of Stream Gauge Stations |
title_fullStr | Optimal Stream Gauge Network Design Using Entropy Theory and Importance of Stream Gauge Stations |
title_full_unstemmed | Optimal Stream Gauge Network Design Using Entropy Theory and Importance of Stream Gauge Stations |
title_short | Optimal Stream Gauge Network Design Using Entropy Theory and Importance of Stream Gauge Stations |
title_sort | optimal stream gauge network design using entropy theory and importance of stream gauge stations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514323/ http://dx.doi.org/10.3390/e21100991 |
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