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Development of the vulnerable period assessment method for the weekly groundwater resources management in Yeongsan river basin considering the critical infiltration concept and the correlation between hydrological data sets

한계침투량 개념과 수문자료 간 상관관계를 고려한 영산강 유역의 주 단위 지하수자원 관리 취약 시기 평가 방법 개발

  • 이재범 (국민대학교 건설시스템공학과) ;
  • 김일환 (국민대학교 건설시스템공학과) ;
  • 양정석 (국민대학교 건설시스템공학과)
  • Received : 2018.12.31
  • Accepted : 2019.01.24
  • Published : 2019.03.31

Abstract

In this study, the vulnerable period assessment method for weekly groundwater resources management was developed considering correlation between data of groundwater level, river level, precipitation applying critical infiltration concept. The vulnerable periods of 3 case study were assessed using data of groundwater, precipitation, river level, and results were compared. The weights for between observation stations were calculated using correlation of groundwater, precipitation, river level data, and weights that could be considered recently trend of data for each observation station. The vulnerable period was assessed using final calculated weights and multi criteria decision method, compared result for each case study. The developed method can be a quantitative basis for the establishment of efficient groundwater resources management and the decision of specific countermeasure applyment.

본 연구에서는 주 단위 지하수자원 관리 취약시기 평가 방법을 개발하였다. 강수의 지하수위에 대한 영향을 고려하기 위하여 한계 침투량을 고려한 강우이동평균 방법을 통해 지하수위와의 상관계수를 산정하였다. 취약 시기 평가 기준을 개발하고 평가 기준에 대한 가중치를 엔트로피 방법을 이용하여 산정하였다. 강수와의 상관계수와 산정된 가중치를 이용한 주 단위 지하수자원 관리 취약시기 평가 방법을 개발하였으며, 개발한 방법을 통하여 소규모 행정구역을 대상으로 취약시기를 평가하였다. 본 연구에서 개발된 방법은 지역적일뿐만 아니라 계절적인 지하수자원의 효율적 관리 대책 수립의 근거가 될 수 있을 것이다.

Keywords

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Fig. 1. Procedure of this study

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Fig. 2. Procedure of entropy method

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Fig. 3. Study area

Table 1. Study case configuration for groundwater resources management vulnerability

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Table 2. Lists of selected observation station

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Table 3. Results of critical infiltation, lag time, correlation value estimation

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Table 4. Calculated result of correlation value with each observation station

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Table 5. Calculated result of weight for each assessment case

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Table 5. Calculated result of weight for each assessment case (Continue)

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Table 6. Weight results of observation stations

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Table 7. Groundwater resources management vulnerable period assessment results for case 1 (GLW-P)

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Table 8. Groundwater resources management vulnerable period assessment results for case 2 (GLW-RL)

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Table 9. Groundwater resources management vulnerable period assessment results for case 3 (GLW-P (considering RL))

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