Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
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Development of Evaluation Model of Pumping and Drainage Station Using Performance Degradation Factors

농업기반시설물 양·배수장의 성능저하 요인분석 및 성능평가 모델 개발

  • 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)
  • Received : 2019.03.27
  • Accepted : 2019.07.01
  • Published : 2019.07.31
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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

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Fig. 1 The group without notable performance degradation

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Fig. 2 The group with notable performance degradation

Table 1 Selection of study sites according to geographical classification system in Korea

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Table 2 Variables and Role Relationships between Response Variability and Vulnerability of Climate Change regarding to Pumping Stations

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Table 4 Selection of parameters for meteorological data analysis

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Table 5 Result of statistical analysis by POLS, RE, and LASSO regression method

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Table 6 Test results of performance evaluation model through statistical analysis

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Table 7 Performance evaluation score prediction using performance evaluation model

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Table 3 Input/output variables related to the performance evaluation model

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