강우 매트릭스를 활용한 댐 운영 조견표 개발에 관한 연구 = A Study on the Development of a Dam Operation Table Using the Rainfall Matrix

다국어 초록 (Multilingual Abstract)

Recently, flood damage has been increasing in Korea due to frequent local torrential rains caused by abnormal weather conditions. According to the calculation of the recurrence period of torrential rain that occurred in North Chungcheong Province on July 16, 2017, it was estimated that the rainfall frequency in the upper are of Goessan Dam was around 1,524 years, and the highest level of Goesan Dam rose to EL.137.60 meters, leaving only 5 cm of margin until the height of the dam floor (EL.137.65 meters). The Goesan Dam, which operated for 62 years since 1957, needs to be prepared to cope with the increase of floodgate volume in the basin, the development of a single purpose dam for power generation only, and there are no measurement facilities for flood control, so efficient operation methods are needed to secure the safety of residents in upper and lower regions. In this study, a method of dam operation was proposed by constructing a rain matrix for quick decision making in flood prediction, calculating the highest level of dam for each condition in advance, and preparing a survey table, and quickly finding the level corresponding to the conditions in case of a situation.

참고문헌 (Reference)

1 안정환, "시공간적으로 편중된 강우에 의한 홍수사상 수치모의 - 2017년 8월 17일 청계천 홍수사상을 대상으로" 한국방재안전학회 11 (11): 45-52, 2018

2 유형주, "시계열 자료의 예측을 위한 자료 기반 신경망 모델에 관한 연구: 한강대교 수위예측 적용" 한국방재안전학회 12 (12): 73-82, 2019

3 KHNP, "Hydroelectric Power Plant Dam Management Guidelines"

4 MOLIT, "Flood Prevention Program"

5 KHNP, "Final Report on the Research Service for the Efficient Operation of Goesan Dam" Korea Hydro & Nuclear Power Co., Ltd 2019

6 "Dam Hydrological Information"

7 Chungcheongbuk-do, "Dalcheon River Basic Plan (Change) Report" Chungcheongbuk-do 2017

8 IPCC, "Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change" IPCC 151-, 2014

9 MOLIT, "2011, Flood Damage Survey" Ministry of Land, Infrastructure and Transport 2017