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Assessing Vulnerability to Agricultural Drought of Pumping Stations for Preparing Climate Change

기후변화 대응을 위한 양수장의 농업가뭄 취약성 실태 평가

  • Jang, Min-Won (Department of Agricultural Engineering (Institute of Agricultural and Life Science), Gyeongsang National University) ;
  • Kim, Soo-Jin (Institute of Green Bio Science and Technology, Seoul National University) ;
  • Bae, Seung-Jong (Institute of Green Bio Science and Technology, Seoul National University) ;
  • Yoo, Seunghwan (Department of Rural and Bio-Systems Engineering, Chonnam National University) ;
  • Jung, Kyunghun (Project Planning Office, Korean Rural Community Corporation) ;
  • Hwang, Syewoon (Department of Agricultural Engineering (Institute of Agricultural and Life Science), Gyeongsang National University)
  • Received : 2019.08.12
  • Accepted : 2019.10.15
  • Published : 2019.11.30

Abstract

In order to implement practical alternatives to proactively cope with the agricultural drought, the potential vulnerability of irrigation pumping stations to agricultural drought was quantitatively evaluated. Data for the 124 pumping stations which are correlatable to the three proxy variables, i.e. exposure, sensitivity, and adaptive capacity was collected by the Korea Rural Community Corporation, and then standardized considering distribution of each data set. Finally, the vulnerability index was calculated by multiplying the weights determined by the expert survey. The results showed that the vulnerability index ranged from 0.709 to 0.331 and the most vulnerable pumping stations such as Judam, Wongoo and Jinahn were mostly located in Gyeongbuk province likely because of the climatological characteristics with high temperature and low rainfall around this area. In addition, it was found that the adaptive capacity was a dominant factor comparing to exposure or sensitivity proxy variables in contributing to the vulnerability. It is therefore recommended that more practical alternatives should be employed to effectively reduce the vulnerability of an individual pumping station to agricultural drought. Furthermore, the corresponding data related to adaptive capacity should be systematically organized and managed at a field level to design reliable adaptation strategies.

Keywords

References

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