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Analysis of Yedang Reservoir Equipment Adapting Optimum Equipment Model of Agricultural Reservoir

최적정비모델을 이용한 예당저수지 정비방안 분석

  • Kim, Jongbong (KRC Region Development Department, Korea Rural Community Corporation) ;
  • Park, JooSeok (Department of Agricultural and Engineering, Kongju National University) ;
  • Jung, Namsu (Kongju National University)
  • Received : 2018.01.22
  • Accepted : 2019.03.07
  • Published : 2019.03.31

Abstract

In this study, interest in rural life of good natural environment rather than busy life is increasing as human life is extended by scientific and medical technology and society has improved. The reckless development of rural villages has caused social problems as the natural environment has been damaged, failing to function as a pleasant home. To address these problems, the government has implemented a rural village development project, but if the site is selected incorrectly, the residents may not be recruited, or applicants may lose their status, or the portion of the infrastructure building fee may increase. In order to prepare objective and clear assessment methods for the target site not to cause such problems, a layering analysis method (AHP: Analytic Method) was used to identify the current status of the rural village formation project, draw assessment items, and determine the importance of each item.

Keywords

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Fig. 1 Distribution of Yesangun 2016 tourists by month (Yesangun, 2017)

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Fig. 2 5 Eupmyun in beneficiary area

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Fig. 3 Houses in flooding area

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Fig. 4 Houses in neighborhood area

Table 1 Benefit people of agricultural reservoir by function

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Table 2 Annual tourists in tourist attractions

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Table 3 Farmer status and change in beneficiary area of Yedang reservoir

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Table 4 Building and population per house status in Yesangun

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Table 5 Equipment unit cost of each facility(Won)

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Table 6 Weighting score of each facility for usage and preventing flood disaster

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Table 7 General characteristics of water friendly facilities

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Table 8 Initial condition in 2007 year

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Table 9 Operating results in 2007 (cost = 3,969,400, population = 972,376)

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Table 11 Operating results in 2017 (cost = 3,938,142, population = 926,541)

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Table 10 Initial condition in 2017 year

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Table 12 Operating results in 2007 with visiting persons (cost = 3,964,220, population = 1,055,662)

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