수위관측소의 유지관리를 위한 로지스틱 회귀모형 구축 및 평가

In this study, we propose a logistic regression model to predict the problems of the water level stations for the efficient maintenance of water level stations, then the effectiveness of the estimated logistic regression model is evaluated by ROC curve. The results are summarized as follows. In order to construct a regression model, water level maintenance data for 2013-2015 is collected and 6 independent variables are selected with considering the relationship between independent variables and dependent variables. As a result of applying regression model constructed with the data of 2013-2014, the prediction rate for data prediction of 2015 year is evaluated by 83.97%. It is found that the constructed regression model is confirmed to be suitable using the ROC curve analysis. The methodology proposed in this study can be used as a decision making technique to distinguish hydrologic observation points that need to be managed.