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Development of the assessment method for weekly groundwater resources management vulnerability using the correlation between groundwater level and precipitation considering critical infiltration concept

한계 침투량을 고려한 강우와 지하수위의 상관관계를 이용한 주 단위 지하수자원 관리 취약시기 평가 방법 개발

  • Lee, Jae-Beom (School of Civil and Environmental Engineering, Kookmin University) ;
  • Yang, Jeong-Seok (School of Civil and Environmental Engineering, Kookmin University) ;
  • Kim, Il-Hwan (School of Civil and Environmental Engineering, Kookmin University)
  • 이재범 (국민대학교 건설시스템공학부) ;
  • 양정석 (국민대학교 건설시스템공학부) ;
  • 김일환 (국민대학교 건설시스템공학부)
  • Received : 2018.10.11
  • Accepted : 2018.10.28
  • Published : 2018.12.31

Abstract

We developed the assessment method for weekly groundwater resources management vulnerability. To consider the effect of precipitation on groundwater level, we calculated correlation coefficient between groundwater level and precipitation applying critical infiltration concept. We developed the vulnerability assessment criteria and calculated weights for criteria using the entropy method. Weekly groundwater resources management vulnerability of small administrative districts were estimated using developed method in this research. The developed method can be a basis for the establishment of the spatio-temporal groundwater resources management plan.

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. Study procedure

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Fig. 2. Procedure of critical infiltration estimation

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Fig. 3. Procedure of entropy weight decision method

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Fig. 5. Weekly groundwater resources management vulnerability period result diagram

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Fig. 4. Study area

Table 1. List of observation stations used for this study

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Table 2. Results of correlation coefficient between observation stations

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Table 3. Results of correlation coefficients, lag-time applying CI-PMA, PM

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Table 4. Descriptions and weight results of criteria

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Table 5. Weekly groundwater resources management vulnerability period results

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