한국산학기술학회논문지 (Journal of the Korea Academia-Industrial cooperation Society)

  • 제21권10호
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  • Pages.509-516
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  • 2020
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  • 1975-4701(pISSN)
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  • 2288-4688(eISSN)
한국산학기술학회 (The Korea Academia-Industrial cooperation Society)
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하천 지형인자의 확률론적 산정 방식 연구

A Research on the Probabilistic Calculation Method of River Topographic Factors

  • 추연문 (부산대학교 생산기술연구소) ;
  • 마윤한 (부산대학교 사회환경시스템공학과) ;
  • 박상호 (부산대학교 사회환경시스템공학과) ;
  • 서종철 (부산대학교 사회환경시스템공학과) ;
  • 김윤구 (부산대학교 사회환경시스템공학과)
  • Choo, Yeon-Moon (Research Institute of Industrial Technology, Pusan National University) ;
  • Ma, Yun-Han (Dept. of Civil and Environmental Engineering, Pusan National University) ;
  • Park, Sang-Ho (Dept. of Civil and Environmental Engineering, Pusan National University) ;
  • Sue, Jong-Chal (Dept. of Civil and Environmental Engineering, Pusan National University) ;
  • Kim, Yoon-Ku (Dept. of Civil and Environmental Engineering, Pusan National University)
  • 투고 : 2020.09.09
  • 심사 : 2020.10.05
  • 발행 : 2020.10.31
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초록

1960년대 이후 경제발전을 위한 하천 개수사업, 도시화에 따른 소하천의 복개 등으로 많은 하천이 오염되고 파괴되었다. 지금까지의 연구는 측량된 하천 지형인자를 이용해 하천을 분석한 연구가 많았으나, 홍수 시와 같이 유량이 급격히 변하는 경우에는 측량이 쉽지 않다. 또한, 이전까지의 연구는 주로 하천의 횡단면에 대한 연구가 많아 하천 종단면에 대한 정보가 부족한 실정이다. 본 연구에서는 정보엔트로피 이론을 이용하여 하천 유역에 대한 평균 하천 경사, 하천 경사, 하천 종단고도를 실시간으로 산정할 수 있는 식을 제시하였으며, 충청북도 지방하천 기본계획에서 얻은 달천 유역과 부산 온천천, 동천 기본계획에서 얻은 하천 특성인자 실측 자료와 비교를 통해 적용성을 분석하였다. 이를 위해 정보엔트로피 이론에 실측 자료를 이용하여 비선형 회귀분석을 이용해 매개변수를 산정한 후 하천별 종단고도 엔트로피식을 산정하였으며, 평균 하천 경사를 산정하였다. 본 연구에서 제시한 식의 적용성을 R2로 분석한 결과, R2가 모두 0.96이상의 값으로 나타나 하천 특성인자를 산정하는데 신뢰도 높은 결과를 얻을 수 있을 것으로 보인다.

Since the 1960s, many rivers have been polluted and destroyed due to river repair projects for economic development and the covering of small rivers due to urbanization. Many studies have analyzed rivers using measured river topographic factors, but surveying is not easy when the flow rate changes rapidly, such as during a flood. In addition, the previous research has been mainly about the cross section of a river, so information on the longitudinal profile is insufficient. This research used informational entropy theory to obtain an equation that can calculate the average river slope, river slope, and river longitudinal elevation for a river basin in real time. The applicability was analyzed through comparison with measured data of a river's characteristic factors obtained from a river plan. The parameters were calculated using informational entropy theory, nonlinear regression analysis, and actual data. The longitudinal elevation entropy equation for each stream was then calculated, and so was the average river slope. All of the values were over 0.96, so it seems that reliable results can be obtained when calculating river characteristic factors.

키워드

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