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Water 2013, 5(4), 1598-1621; doi:10.3390/w5041598

An Approach Using a 1D Hydraulic Model, Landsat Imaging and Generalized Likelihood Uncertainty Estimation for an Approximation of Flood Discharge

Department of Civil Engineering, Inha University, 100 Inha-ro, Nam-gu, Incheon 402-751, Korea
School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907, USA
Department of Biological & Agricultural Engineering, Texas A&M University, College Station, TX 77843, USA
School of Urban and Civil Engineering, Hongik University, Seoul 121-791, Korea
Author to whom correspondence should be addressed.
Received: 31 July 2013 / Revised: 23 September 2013 / Accepted: 24 September 2013 / Published: 7 October 2013
(This article belongs to the Special Issue Advances in Remote Sensing of Flooding)
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Collection and investigation of flood information are essential to understand the nature of floods, but this has proved difficult in data-poor environments, or in developing or under-developed countries due to economic and technological limitations. The development of remote sensing data, GIS, and modeling techniques have, therefore, proved to be useful tools in the analysis of the nature of floods. Accordingly, this study attempts to estimate a flood discharge using the generalized likelihood uncertainty estimation (GLUE) methodology and a 1D hydraulic model, with remote sensing data and topographic data, under the assumed condition that there is no gauge station in the Missouri river, Nebraska, and Wabash River, Indiana, in the United States. The results show that the use of Landsat leads to a better discharge approximation on a large-scale reach than on a small-scale. Discharge approximation using the GLUE depended on the selection of likelihood measures. Consideration of physical conditions in study reaches could, therefore, contribute to an appropriate selection of informal likely measurements. The river discharge assessed by using Landsat image and the GLUE Methodology could be useful in supplementing flood information for flood risk management at a planning level in ungauged basins. However, it should be noted that this approach to the real-time application might be difficult due to the GLUE procedure. View Full-Text
Keywords: discharge approximation; GLUE; Landsat; likelihood measure; data-poor environment discharge approximation; GLUE; Landsat; likelihood measure; data-poor environment

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Jung, Y.; Merwade, V.; Yeo, K.; Shin, Y.; Lee, S.O. An Approach Using a 1D Hydraulic Model, Landsat Imaging and Generalized Likelihood Uncertainty Estimation for an Approximation of Flood Discharge. Water 2013, 5, 1598-1621.

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