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http://dx.doi.org/10.5389/KSAE.2019.61.4.075

Development of Evaluation Model of Pumping and Drainage Station Using Performance Degradation Factors  

Lee, Jonghyuk (Department of Rural Systems Engineering, Seoul National University)
Lee, Sangik (Department of Rural Systems Engineering, Seoul National University)
Jeong, Youngjoon (Department of Rural Systems Engineering, Seoul National University)
Lee, Jemyung (Division of Environmental Science and Technology, Kyoto University)
Yoon, Seongsoo (Department of Agricultural and Rural Engineering, Chungbuk National University)
Park, Jinseon (Department of Agricultural and Rural Engineering, Chungbuk National University)
Lee, Byeongjoon (Department of Agricultural and Rural Engineering, Chungbuk National University)
Lee, Joongu (Rural Research Institute, Korea Rural Community Corporation)
Choi, Won (Department of Rural Systems Engineering, Research Institute of Agriculture and Life Sciences, Seoul National University)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.61, no.4, 2019 , pp. 75-86 More about this Journal
Abstract
Recently, natural disasters due to abnormal climates are frequently outbreaking, and there is rapid increase of damage to aged agricultural infrastructure. As agricultural infrastructure facilities are in contact with water throughout the year and the number of them is significant, it is important to build a maintenance management system. Especially, the current maintenance management system of pumping and drainage stations among the agricultural facilities has the limit of lack of objectivity and management personnel. The purpose of this study is to develop a performance evaluation model using the factors related to performance degradation of pumping and drainage facilities and to predict the performance of the facilities in response to climate change. In this study, we focused on the pumping and drainage stations belonging to each climatic zone separated by the Korea geographical climatic classification system. The performance evaluation model was developed using three different statistical models of POLS, RE, and LASSO. As the result of analysis of statistical models, LASSO was selected for the performance evaluation model as it solved the multicollinearity problem between variables, and showed the smallest MSE. To predict the performance degradation due to climate change, the climate change response variables were classified into three categories: climate exposure, sensitivity, and adaptive capacity. The performance degradation prediction was performed at each facility using the developed performance evaluation model and the climate change response variables.
Keywords
Agricultural infrastructure; degradation factor; performance evaluation model; LASSO regression method; performance prediction;
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