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http://dx.doi.org/10.12652/Ksce.2021.41.4.0449

Decision Support Model for Selection Water Resources Facility Improvement Projects  

Nam, Song Hyun (Korea Rural Community Corporation)
Park, Hyung Keun (Chungbuk National Universit)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.41, no.4, 2021 , pp. 449-459 More about this Journal
Abstract
More than 80 % of agricultural reservoirs are old facilities over 50 years old, and safety and function declines occur. As a result, safety accidents such as the collapse of the reservoir have occurred. Precise safety diagnosis is conducted in advance to prevent accidents such as reservoir collapse, and Water resources facility improvement project are implemented based on priority. However, the priority of the business is selected based on the subjective judgment of the facility manager. In this study, we set 80 hypotheses based on the results of precision safety diagnosis and decision-making examples of existing Water resources facility improvement project and selected 45 variables using correlation analysis and significance test. Using logistic regression analysis, the final 21 variables were selected and a decision support model was presented, and the classification accuracy of the model was 86.8 %. In this research, the part that presented the quantitative index for decision support when selecting the Water resources facility improvement project has important significance.
Keywords
Reservoir; Water resources facility improvement project; Decision support; Logistic regression analysis;
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Times Cited By KSCI : 2  (Citation Analysis)
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