Use of a Distance Measure for the Comparison of Unit Hydrographs: Application to the Stream Gauge Network Optimization
Publication: Journal of Hydrologic Engineering
Volume 16, Issue 11
Abstract
This paper reports a case study aimed at optimizing the stream gauge network of the Hantan River Basin in Korea. The dimensionless synthetic unit hydrographs at all potential stream gauge locations were derived and compared by using the distance measure of entropy theory. Based on cluster analysis of the transinformations among stream gauge stations, the entire basin could be divided into four regions with similar subbasin responses. One stream gauge per region would be sufficient to measure the basin response to rainfall input. The optimal set of stream gauges was also derived by applying the concept of maximum total information, where a total of seven stream gauges was found to be needed for the entire Hantan River Basin. However, both applications produced very similar shapes of subbasin clustering over the Hantan River Basin. In particular, most subbasins along the main stream were included in the same group in both cases. Most subbasins in a specific tributary were also found to be included in the same cluster.
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Acknowledgments
This research was supported partially by a grant (UNSPECIFIEDKRF-2008-313-D01083) from the Korea Research Foundation, also partially by a grant (Project No. UNSPECIFIEDKIWE2008-0003) from K-water. All contributions are gratefully acknowledged.
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© 2011 American Society of Civil Engineers.
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Received: Mar 16, 2010
Accepted: Mar 8, 2011
Published online: Mar 10, 2011
Published in print: Nov 1, 2011
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