AHP를 이용한 농업용저수지 수문학적 안전성평가 방법 개발 및 적용
Development and Application of Hydrological Safety Evaluation Guidelines for Agricultural Reservoir with AHP
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초록
현재 국내 일정규모 이상 댐들에 대해서는 「안전점검 및 정밀안전진단 세부지침(댐)」기준에 따라 정밀안전진단을 수행하고 있다. 하지만 여러 평가 기준 중 수문학적 안전성 평가는 가능최대홍수량(ProbableMaximum Flood, PMF)에 대한 기존 댐 안전성을 평가하는 것으로 대부분의 농업용저수지에 대해서는 적용성이 많이 떨어진다. 따라서 본 연구에서는 계수화 모델과 AHP 기법을 통해 다각적 위험요인을 고려한 농업용저수지의 수문학적 안전성을 재평가하고자 한다. 이를 위하여 농업용저수지의 다양한 인자를 반영하기위한 수문학적 안전성 상·하위 평가항목을 선정하여 계수화 모델을 개발하였다. 평가항목 별 지표 점수의총합을 산출한 후 전문가 집단의 응답에 대한 검증절차를 실시하였고, 평가항목의 가중치를 산정하여 최종적으로 다각적 위험요인을 고려한 농업용저수지의 수문학적 안전성 평가를 위한 실용계수를 산정하였다. 본연구 결과 기존 평가기준은 댐의 가능최대홍수량에 대한 수문학적 안전성을 평가하는 기준으로 대부분의 농업용저수지에 대해서는 홍수방어능 부족에 따른 제체의 월류로 저수지의 파괴위험성이 큰 것으로 분류되었다. 그리고 가능최대홍수량에 대한 여유고 기준을 만족하는 저수지에 대해서는 댐의 형식 및 상태별 여유고에 대한 평가만으로 필댐을 평가하는 것으로 나타났다.
Abstract
According to the「Safety Evaluation Detailed Instructions (Dam)」, precise safety inspection is carried out fordams that exceed a certain scale. However, as the Hydrological Safety Evaluation from various evaluationstandards is designed to evaluate the safety of existing dams considering PMF, the evaluation is much lessapplicable for most agricultural reservoirs. Therefore, the Hydrological Safety Guidelines for agriculturalreservoirs are expected to be re-evaluated considering the diverse risk factors with the coefficient model andAHP in this study. The coefficient model has been developed by selecting the hydrological safetysuperordinate․subordinate evaluation factors to reflect diverse risk factors of agricultural reservoirs. Aftercalculating the sum of indicators score for each evaluation factors, validation procedures were performed forthe questionnaire which a panel answered. The practical coefficient has eventually been estimated for thehydrological safety evaluation considering the diverse risk factors. The conclusions acquired based on thestudy done are that both most agricultural reservoirs were classified as flood defense capability is insufficientand agricultural reservoirs which meet embankment-freeboard standards considering PMF was overestimated.
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