| Title |
Decision Support Model for Selection Water Resources Facility Improvement Projects |
| Authors |
남송현(Nam, Song Hyun) ; 박형근(Park, Hyung Keun) |
| DOI |
https://doi.org/10.12652/Ksce.2021.41.4.0449 |
| Keywords |
저수지; 수리시설개보수사업; 의사결정지원; 로지스틱회귀분석 Reservoir; Water resources facility improvement project; Decision support; Logistic regression analysis |
| 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. |